Xiaofeng Xu| structure material | Best Researcher Award

Prof. Xiaofeng Xu – structure material – Best Researcher Award

Jilin University | China

      Profiles

schopus

📍Current Position

Xiaofeng Xu is currently serving as an Associate Professor at Jilin University. He has held this position since 2018, after previously serving as a lecturer. His academic career has been dedicated to exploring advanced metallurgical engineering, focusing on lightweight materials and electro-induced strengthening methods.

📝Publication Achievements 

Prof. Xu has an impressive list of peer-reviewed articles published in high-impact journals. His research is heavily cited, contributing to fields like metallurgy and materials science, especially in the development of titanium alloys, aluminum alloys, and steels. Some of his notable publications include: Y. Zhou, X. Xu et al. (2023) “A novel strategy for the preparation of α′ + β dual-phase microstructure through heating massive-like transformation induced by electropulsing in Ti-6Al-4V Alloy” – Scripta MaterialiaC. Wu, Y. Zhao, X. Xu et al. (2019) “Electropulse-induced laminated structures in ferritic-pearlitic 35CrMo steel” – Scripta Materialia X. Yan, X. Xu et al. (2023) “Variant selection induced by electropulsing: Optimization in the microstructure of selective laser melted Ti-6Al-4 V alloy” – Journal of Materials Science & Technology

🔍Ongoing Research 

Prof. Xu is leading several cutting-edge projects focusing on electropulsing treatment and its application in strengthening lightweight alloys. His ongoing projects include:, Studying microstructural evolution in titanium alloys., Exploring strengthening mechanisms in aluminum and steel alloys using electropulsing techniques., Collaborating on international projects with institutions like Hebei University of Technology.

🔬Research Interests 

Prof. Xu’s research interests include:

  • Titanium alloys
  • Aluminum alloys
  • Steel metallurgy
  • Electropulsing treatment
  • Microstructural evolution in lightweight materials

include: Remote Sensing: Developing algorithms for satellite and aerial image processing, particularly for environmental monitoring and disaster management. AI and ML: Applying machine learning techniques to enhance object detection, pattern recognition, and data analysis in various sectors. Computer Vision: Improving the accuracy of vision-based systems used in autonomous vehicles, drones, and surveillance technologies.

🎓Academic Background 

  • B.E. (2010) from Jilin University
  • Ph.D. (2015) from Jilin University in Metallurgical Engineering

Prof. Xu has continuously evolved within Jilin University, rising from student to lecturer and now to associate professor. His deep understanding of the university’s ecosystem has allowed him to lead impactful research projects and gain recognition in his field.

🏆Scholarships and Awards 

Prof. Xu has been recognized with numerous awards and scholarships throughout his academic career. Some of these include:, National Natural Science Foundation of China research grant recipient, Best Researcher Award nominee for his contributions to lightweight materials science, Multiple commendations for high-impact journal publications

🧬Bioinformatics 

Prof. Xu has integrated bioinformatics into his research, particularly in the analysis of material properties. He uses data-driven techniques to predict alloy behavior under various conditions, aiding in the development of high-strength materials.

🌐Professional Associations 

Prof. Xu is actively involved in several professional associations, including:, Chinese Society for Metals, International Association of Materials Research

 📚Training & Workshops 

Prof. Xu has both attended and hosted several workshops and training programs related to materials science and electropulsing techniques. These include:, Advanced Metallurgy Workshop, Beijing 2022, Electropulsing Treatment in Alloys, International Seminar, 2023

 🎤Oral Presentations and🗣️Thought Leadership 

Prof. Xu has delivered oral presentations at prestigious conferences, including:, International Materials Science Forum, 2022, National Conference on Lightweight Alloys, 2021

🧑‍🔬Tasks Completed as a Researcher 

Prof. Xu has led several research projects, including:, Supervising the creation of new alloys through heat treatment and melting processes, Leading teams in the exploration of electropulsing-induced transformations, Publishing groundbreaking research that has had a significant impact on the field of materials science

🚀Success Factors 

Prof. Xu attributes his success to: A passion for innovation in materials science, His ability to collaborate with top researchers worldwide, Consistent engagement in high-impact research projects that have real-world applications

🧪Publications & Laboratory Experience

Prof. Xu has a wealth of laboratory experience, particularly in the melting and treatment of lightweight alloys. His work with titanium and steel alloys is well-regarded, and he has co-authored several high-impact journal articles in these areas.

🔍 Conclusion

Xiaofeng Xu has established himself as a pioneering researcher and Associate Professor at Jilin University, making significant contributions to materials science. His expertise in lightweight alloys, particularly titanium, aluminum, and steel, and his innovative use of electropulsing techniques have placed him at the forefront of metallurgical engineering. With over 30 high-impact publications, several patents, and ongoing national research projects, Prof. Xu continues to push the boundaries of strengthening and toughening materials. His dedication to research, collaborations, and academic excellence have earned him widespread recognition, positioning him as a leader in his field

📚Publications

Constructing a novel bi-lamellar microstructure in selective laser melted Ti-6Al-4V alloy via electropulsing for improvement of strength and corrosion resistance

      Authors: Yan, X., Xu, X., Zhou, Y., Wei, L., Zhang, D.

      Journal: Journal of Materials Science and Technology,

       

Surface electropulsing-induced texture evolution in electron beam melted Ti-6Al-4V alloy for biomedical application

       Authors:  Yan, X., Xu, X., Zhou, Y., Wei, L., Zhang, D.

       Journal: Surface and Coatings Technology, 

 

Retain the austenite via diffusion control under electropulsing to improve the mechanical properties of the AISI 420 stainless steel

        Authors:  Fu, X., Xu, X., Zhao, Y., Zhou, Y., Yu, Y.

       Journal: Journal of Materials Research and Technology

 

Achieving recrystallization of prior β in Ti-6Al-4V alloy by electroshock

      Authors: Zhou, Y., Xu, X., Zhao, Y., Wu, Z., Yu, Y.

      Journal: Journal of Alloys and Compounds

Superior mechanical properties of M35 high-speed steel obtained by controlling carbide precipitation and distribution via electropulsing treatment

       Authors: Chen, D., Xu, X., Zhao, Y., Zhou, Y., Wu, Z.

      Journal: Materials Science and Engineering: A

Fei Gao | Object Detection | Best Researcher Award

Mr. Fei Gao – Object Detection – Best Researcher Award

 Shandong University | China

      Profiles

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📍Current Position

At present, Mr. Fei Gao holds a distinguished role at Shandong University, where he focuses on cutting-edge research and education. His work has contributed significantly to advancing China’s standing in scientific and technological research. As a senior academic, his leadership extends to mentoring students and overseeing multiple projects, enhancing the university’s reputation in the global academic arena.

 

📝Publication Achievements 

Fei Gao has an impressive list of publications in high-impact journals, solidifying his position as a leader in his field. Some of his notable works include: RA2DC-Net: A Residual Augment-Convolutions and Adaptive Deformable Convolution for Points-Based Anchor-Free Orientation Detection Network in Remote Sensing Images published in Expert Systems with Applications (2024). This research focuses on improving object detection in remote sensing images using advanced convolutional neural networks (CNNs). A Compact and High-Efficiency Anchor-Free Network Based on Contour Key Points for SAR Ship Detection published in IEEE Geoscience and Remote Sensing Letters (2024). This article showcases Mr. Gao’s expertise in ship detection using synthetic aperture radar (SAR) technology. Improved YOLOX for Pedestrian Detection in Crowded Scenes published in Journal of Real-Time Image Processing (2023), demonstrating his efforts to improve pedestrian detection algorithms for better accuracy in real-time applications.

🔍Ongoing Research 

Mr. Gao is currently involved in multiple national and international research projects that seek to push the boundaries of AI and machine learning (ML) in image processing. His ongoing work focuses on developing more efficient and accurate object detection algorithms for real-time applications, such as surveillance and autonomous vehicles.

🔬Research Interests 

His primary research interests include: Remote Sensing: Developing algorithms for satellite and aerial image processing, particularly for environmental monitoring and disaster management. AI and ML: Applying machine learning techniques to enhance object detection, pattern recognition, and data analysis in various sectors. Computer Vision: Improving the accuracy of vision-based systems used in autonomous vehicles, drones, and surveillance technologies.

🎓Academic Background 

Fei Gao’s educational journey reflects his deep commitment to science and technology. His academic qualifications, paired with his research experience, have enabled him to become a leading figure at Shandong University. While specific details about his early education aren’t mentioned, it’s evident that he has received specialized training and education in areas such as AI, machine learning, and remote sensing.

🏆Scholarships and Awards 

Throughout his academic career, Mr. Gao has received several scholarships and awards for his groundbreaking research. His achievements highlight his contributions to the global scientific community and his role in advancing China’s technological prowess.

🧬Bioinformatics 

While Fei Gao’s primary focus is on remote sensing and AI, his methods and analytical approaches could be applied to bioinformatics. Advanced techniques in pattern recognition and machine learning used in his research are highly applicable in bioinformatics, where these technologies are increasingly used for genome sequencing and analysis.

🌐Professional Associations 

Mr. Gao is an active member of several professional associations related to geoscience, remote sensing, and computer vision. His affiliation with these organizations allows him to stay connected with the latest developments in his field while collaborating with fellow researchers globally.

 📚Training & Workshops 

In addition to his research, Mr. Gao participates in various training programs and workshops. These initiatives help him stay updated with the latest advancements in technology and improve his teaching and research skills. They also allow him to share his expertise with other academics and industry professionals.

 🎤Oral Presentations and🗣️Thought Leadership 

Mr. Gao has delivered numerous oral presentations at international conferences, where he shares his research findings with a broader audience. His presentations are highly regarded, contributing to knowledge dissemination in the fields of AI, machine learning, and remote sensing.

🧑‍🔬Tasks Completed as a Researcher 

As a seasoned researcher, Mr. Gao has completed several critical tasks, such as: Leading interdisciplinary projects that bridge the gap between AI and remote sensing. Collaborating with international teams to drive innovation in satellite imagery analysis. Mentoring students and junior researchers, fostering a new generation of scholars.

🚀Success Factors 

Fei Gao’s success can be attributed to his relentless pursuit of knowledge, his ability to collaborate with international scholars, and his innovative approach to solving complex problems. His passion for research and education continues to drive his success, making him an influential figure in science and technology.

🧪Publications & Laboratory Experience

Mr. Gao’s extensive laboratory experience includes working with advanced imaging technologies and machine learning models to solve real-world problems. His publications not only highlight his expertise but also reflect his ability to apply theoretical knowledge to practical challenges in fields like autonomous systems and environmental monitoring.

🔍 Conclusion

In summary, Mr. Fei Gao has established himself as a prominent academic at Shandong University. His contributions to the fields of remote sensing, AI, and computer vision have had a lasting impact on both the academic world and practical applications. Through his research, collaborations, and mentorship, Mr. Gao continues to play a pivotal role in advancing science and technology both in China and globally

📚Publications

RA2DC-Net:A residual augment-convolutions and adaptive deformable convolution for points-based anchor-free orientation detection network in remote sensing images

       Authors:  Gao, F., Cai, C., Tang, W., Tian, Y., Huang, K.

      Journal: Expert Systems with Applications,

   

A Compact and High-Efficiency Anchor-Free Network Based on Contour Key Points for SAR Ship Detection

      Authors:  Gao, F., Cai, C., Tang, W., He, Y.

      Journal: IEEE Geoscience and Remote Sensing Letters,

   

Improved YOLOX for pedestrian detection in crowded scenes

      Authors:  Gao, F., Cai, C., Jia, R., Hu, X.

      Journal: Journal of Real-Time Image Processing,

Shefali Srivastava | SUSTAINABLE CONSUMPTION | Women Researcher Award

Dr. Shefali Srivastava – SUSTAINABLE CONSUMPTION – Women Researcher Award

Christ Deemed to be University, Bangalore | India

      Profiles

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📍Current Position

Dr. Shefali Srivastava currently holds the position of Assistant Professor at Christ Deemed to be University, Bangalore, where she actively contributes to the academic development of her students and the university’s research agenda. She also serves as a Senior Project Scientist at the Indian Institute of Technology, New Delhi, focusing on cutting-edge research that bridges the gap between industry and academia. Additionally, she has been a Post-Doctoral Research Associate at IIT New Delhi, furthering her research in healthcare and management.

 

📝Publication Achievements 

Dr. Srivastava has authored numerous high-impact publications in Scopus-indexed journals. Her recent works include studies on consumerism in food waste management, circularity in manufacturing supply chains, and post-pandemic supply chain resilience. These papers reflect her commitment to addressing contemporary challenges in global industries. Notable publications include: “Understanding Consumerism in Food Waste Management” (2024) – British Food Journal. “Circularity in Manufacturing Supply Chain Operations” (2024) – Business Strategy and Environment. “A Triple Helix Framework for Strategy Development in Circular Textile and Clothing Supply Chain” (2022) – Journal of Cleaner Production.

🔍Ongoing Research 

Dr. Srivastava’s ongoing research focuses on the integration of Industry 5.0 technologies, artificial intelligence, and circular economy practices into sustainable manufacturing and healthcare management. Her upcoming publications promise to deliver new insights into the decarbonization of supply chains and the digitization of food supply systems.

 

🔬Research Interests 

Dr. Srivastava’s research interests reflect her interdisciplinary approach to solving real-world problems. Her areas of interest include: Circular Economy, Sustainable Operations, Industry 4.0 and 5.0, Value Co-Creation, Supply Chain Resilience, Healthcare Service Management.

🎓Academic Background 

Dr. Srivastava completed her Doctor of Philosophy from the ABV-Indian Institute of Information Technology and Management, Gwalior, with her thesis focusing on Exploring Patient-Centricity in Healthcare Service Delivery. She also holds an MBA from MMT University, Noida, and a B.Sc. from CSJM University, Kanpur.

🏆Scholarships and Awards 

Dr. Srivastava’s academic excellence is recognized through various prestigious awards:, University Grants Commission National Eligibility Test for Lectureship (2013), Junior and Senior Research Fellowships awarded by India’s Ministry of Human Resource Development (2014-2018), Best Paper Award by Emerald Publishers (2016), Highly Commended Paper – Literati Awards (2020), P-ranking List of Top 500 Authors in South Asia in Business and Management (2023)

🧬Bioinformatics 

As a researcher deeply engaged in bioinformatics, Dr. Srivastava leverages advanced analytical tools to support her work. She is proficient in Gephi, BibExcel, SPSS, AMOS, PLS-SEM, NVivo, and MS-Office, which enable her to conduct complex data analyses, particularly in circular economies, sustainable operations, and healthcare systems.

🌐Professional Associations 

Dr. Srivastava is actively involved in several professional organizations, reflecting her commitment to knowledge dissemination and global collaboration: Chairperson of MBA Healthcare Management (An international course affiliated with RUDN University, Russia), Joint Editor of the Asia Pacific Journal of Management Research and Innovation (Sage Publications)

 📚Training & Workshops 

Dr. Srivastava has actively participated in and organized various training programs and workshops, such as: Design Thinking FDP at Christ Deemed to be University, Bangalore (2023), Structural Equation Modeling workshop at Banaras Hindu University (2017)

 🎤Oral Presentations and🗣️Thought Leadership 

Dr. Srivastava has presented her research at numerous national and international conferences. Some of her notable presentations include: “Adoption of Industry 5.0 and Its Impact on Sustainable Manufacturing” at the 8th International Conference on Sustainability and Management Strategy (2023), “Enhancing Customer Engagement in the Automotive Industry” at the 3rd PRITAM Singh Memorial Conference (2023)

🧑‍🔬Tasks Completed as a Researcher 

Throughout her academic career, Dr. Srivastava has undertaken significant tasks, including managing large-scale research projects, mentoring students, and collaborating on interdisciplinary studies. Her work focuses on creating frameworks for sustainable business models and improving healthcare service delivery systems.

🚀Success Factors 

Dr. Srivastava attributes her success to her effective communication skills, optimism, result-oriented mindset, and dedication to research. Her proactive approach to challenges has allowed her to excel in both teaching and research.

🧪Publications & Laboratory Experience

Dr. Srivastava has extensive experience in conducting laboratory research and applying her findings to real-world business and healthcare systems. Her publications in top-tier journals highlight her ability to translate theoretical knowledge into practical solutions.

🔍 Conclusion

Dr. Shefali Srivastava is a highly accomplished academic and researcher, with a strong foundation in management, healthcare, and circular economy. Her diverse career spanning roles such as Assistant Professor and Senior Project Scientist at prestigious institutions, coupled with her dedication to advancing research in sustainable operations and supply chain management, showcases her invaluable contributions to academia

📚Publications

Mindfully fashioned: Sustaining style through product value retention

      Authors: Srivastava, S., Dwivedi, A., Mangla, S.K., Dey, B.L., Koufopoulos, D.N.

     Journal: Journal of Retailing and Consumer Services,

     

Digital twins’ readiness and its impacts on supply chain transparency and sustainable performance

     Authors: Patil, A., Srivastava, S., Paul, S.K., Dwivedi, A.

     Journal: Industrial Management and Data Systems,

 

Circular supply chains in manufacturing—Quo vadis? Accomplishments, challenges and future opportunities

     Authors: Bhattacharya, A., Srivastava, S., Majumdar, A.

     Journal: Business Strategy and the Environment, 

 

Food wastage and consumerism in circular economy: a review and research directions

     Authors: Agarwal, A., Srivastava, S., Gupta, A., Singh, G.

     Journal: British Food Journal,

Shaping sustainable paths for perishable food supply chains – contemporary insights and future prospects

      Authors:  Shetty, L., Srivastava, S., Dwivedi, A., Pamucar, D., Patil, A.

      Journal: Environment, Development and Sustainability

 

Mang He | Destination Management | Best Researcher Award

Assoc Prof Dr. Mang He – Destination Management – Best Researcher Award

 

Sun Yat-sen University | China

      Profiles

📍Current Position

Associate Professor, Ph.D. Supervisor He Mang currently serves as an Associate Professor at the School of Tourism Management, Sun Yat-sen University. His role as a Ph.D. supervisor highlights his dedication to mentoring the next generation of scholars in his field. His involvement in both academic and administrative positions within the university underscores his influence and leadership in the realm of tourism studies.

 

📝Publication Achievements 

Prolific Contributor to Academic Literature He Mang has an extensive publication record, contributing to top-tier journals in tourism management and related fields. His recent works include papers on wellness tourism, the psychological aspects of tourism, and the interplay between regional stigma and environmental behavior. For instance, his 2024 paper in the Journal of Travel Research explores the perceived restorative qualities of destinations in wellness tourism. This demonstrates his focus on understanding the deeper emotional and psychological connections tourists form with destinations.

🔍Ongoing Research 

Exploring Wellness Tourism and Health He Mang’s ongoing research delves into various facets of wellness tourism, health tourism, and their impact on traveler behavior. He is particularly interested in how tourism experiences can foster psychological resilience and ontological security among tourists. His work also examines the role of regional discrimination in influencing tourists’ behavior, adding a nuanced understanding of how social factors affect tourism dynamics.

 

🔬Research Interests 

Diverse Interests in Tourism Studies His research interests are wide-ranging, covering wellness tourism, health tourism, leisure and sports management, destination management, rural tourism, and poverty reduction. This diversity in interests not only showcases his expertise in multiple domains but also highlights his commitment to addressing complex societal issues through tourism research.

🎓Academic Background 

Solid Educational Foundation He Mang holds a Ph.D. and an M.S. in Business Management from Jinan University, with an undergraduate degree in Business Administration from Hunan University of Technology. This strong academic foundation has equipped him with the necessary skills and knowledge to excel in both research and teaching.

🏆Scholarships and Awards 

 Recognized for Academic Excellence While specific awards and scholarships are not detailed, it is evident from his career trajectory and publication achievements that He Mang has been recognized for his contributions to the field. His position as an Associate Professor and his role in various academic committees speak to his respected status in academia.

🧬Bioinformatics 

Incorporating Bioinformatics in Tourism Though primarily focused on tourism, He Mang’s work also intersects with bioinformatics, especially in analyzing large datasets related to tourist behavior and environmental factors. This interdisciplinary approach enriches his research, allowing for more comprehensive analyses of tourism trends and their implications.

🌐Professional Associations 

Active in Academic Communities He Mang is actively involved in several professional associations, most notably serving as the Vice Chairman of the Health Care Committee of the Chinese Society of Gerontology and Gerontology. His participation in such organizations demonstrates his commitment to contributing to the broader academic community.

 📚Training & Workshops 

Continuous Professional Development Throughout his career, He Mang has participated in various training programs and workshops, ensuring that he remains at the forefront of developments in tourism management. These experiences have also enabled him to incorporate the latest methodologies and theories into his research and teaching.

 🎤Oral Presentations and🗣️Thought Leadership 

Engaging Public Speaker As an accomplished academic, He Mang has delivered numerous oral presentations at conferences and seminars. These presentations often focus on his research findings in wellness tourism and destination management, contributing to scholarly discussions and informing industry practices.

🧑‍🔬Tasks Completed as a Researcher 

Diverse Research Contributions Over the years, He Mang has undertaken various research projects that have significantly contributed to the field of tourism studies. From analyzing the impact of regional stigma on tourist behavior to developing wellness tourism experience scales, his work addresses both theoretical and practical aspects of tourism.

🚀Success Factors 

Key to Success: Interdisciplinary Approach A key factor in He Mang’s success is his interdisciplinary approach, combining insights from business management, psychology, and tourism studies. His ability to apply these diverse perspectives to his research has led to innovative findings that are highly regarded in the academic community.

🧪Publications & Laboratory Experience

Extensive Publication Record With dozens of publications in leading journals, He Mang’s work has been widely cited and respected in the field of tourism management. His research often involves empirical studies, where he applies rigorous methodologies to explore complex tourism-related phenomena. His experience in both fieldwork and laboratory settings has enabled him to produce high-quality, impactful research that informs both academia and industry.

🔍 Conclusion

Dr. He Mang stands out as an influential figure in the field of tourism management, particularly in the realms of wellness tourism and rural development. With a robust academic background and extensive research contributions, Dr. He has played a pivotal role in advancing our understanding of how tourism intersects with health, leisure, and community development. His academic journey from Jinan University to his current position as an Associate Professor at Sun Yat-sen University has been marked by a dedication to both research and practical applications, including his work on poverty reduction through tourism.

📚Publications

Understanding the motivation behind new mothers’ choice of postpartum wellness hotels: Scale development and validation

     Authors:  Zhao, J., He, M.

     Journal: International Journal of Hospitality Management

 

Tourist preference for tourism product brand biographies

     Authors:  He, M., Tu, J., Li, Y., Fang, J., Zeng, X.

     Journal: Annals of Tourism Research, 

 

It takes two to empower: Customer responses to empowerment recovery in the context of robot service failure

     Authors: Yu, J.J., Liu, X.R., He, M., Huang, L.M., Li, J.J.

     Journal: International Journal of Hospitality Management, 

 

Perceived Destination Restorative Qualities in Wellness Tourism: The Role of Ontological Security and Psychological Resilience

     Authors:  Liu, B., Kralj, A., Moyle, B., He, M., Li, Y.

    Journal: Journal of Travel Research

 

Understanding pro-environmental behavior in tourism: Developing an experimental model

     Authors: Li, J.J., Huang, L.M., He, M., Ye, B.H.

    Journal: Journal of Hospitality and Tourism Management

Irfan Sadiq Rahat | Health Care | Young Scientist Award

Mr. Irfan Sadiq Rahat- Health Care – Young Scientist Award

 

vit-ap | Bangladesh

      Profiles

 schopus

scholar

orcid

 

📍Current Position

Irfan Sadiq Rahat is a B.Tech student at Vellore Institute of Technology, Andhra Pradesh (VIT-AP), India. He is currently pursuing a degree in Computer Science and Engineering, with a specialization in Artificial Intelligence and Machine Learning. His academic journey began in 2021 and is marked by his consistent performance, with a CGPA of 7.89. Before this, Rahat completed his Higher Secondary Certificate from BAF Shaheen College, Dhaka, with an impressive GPA of 5.0.

 

📝Publication Achievements 

Irfan Sadiq Rahat has made significant strides in the field of Artificial Intelligence and Machine Learning, particularly in areas such as Computer Vision and Natural Language Processing. His contributions are reflected in a robust portfolio of publications. Notably, he co-authored the paper “Cassava Syndrome Scan: A Pioneering Deep Learning System for Accurate Cassava Leaf Disease Classification,” which was published in Springer’s Communications in Computer and Information Science series in 2024.

🔍Ongoing Research 

His ongoing projects include the development of hybrid deep learning models for medical diagnostics, with a particular focus on breast ultrasound imaging. His passion for technology and innovation has driven him to explore novel algorithms and hybrid models that push the boundaries of what’s possible in machine learning.

 

🔬Research Interests 

Rahat’s research interests are broad, covering Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.

🎓Academic Background 

Rahat’s academic and research excellence has been recognized through various awards and scholarships. In 2023, he received the prestigious Raman Research Award for Publications from VIT-AP University. The same year, he was honored with the Best Research Paper Award at the ICISML Conference, showcasing his research prowess. Moreover, under his leadership, the Machine Learning Club at VIT-AP was awarded the Best Technical Club for the academic year 2023-24. His academic journey is also marked by the ISEE/SPRIC Scholarship, which he received in 2021.

🏆Scholarships and Awards 

Although primarily focused on Artificial Intelligence and Machine Learning, Rahat has shown an interest in Bioinformatics, exploring its intersection with machine learning. His involvement in professional associations has further broadened his understanding of these fields. Rahat is an active member of various technical clubs and associations, serving as the President of the Machine Learning Club at VIT-AP University and as the Technical Team Co-Lead of Bongojo.

🧬Bioinformatics 

Although primarily focused on Artificial Intelligence and Machine Learning, Rahat has shown an interest in Bioinformatics, exploring its intersection with machine learning.

🌐Professional Associations 

His involvement in professional associations has further broadened his understanding of these fields. Rahat is an active member of various technical clubs and associations, serving as the President of the Machine Learning Club at VIT-AP University and as the Technical Team Co-Lead of Bongojo.

 📚Training & Workshops 

Rahat has actively participated in numerous training programs and workshops to enhance his skills. Notable among these are his participation in a 30-hour Data Science and Advanced Analytics training at VIT-AP University and a Python workshop conducted by Adam Zaini, a data scientist at ExxonMobil. Additionally, he completed several courses on Udemy, including “Optimization Problems and Algorithms” by Professor Syedali Mirjalili and “Machine Learning A-Z™: Hands-On Python & R In Data Science.”

🎤Oral Presentations and🗣️Thought Leadership 

Rahat’s research has not only been confined to publications but has also been presented at various prestigious conferences. He has had the honor of presenting his findings at AIHC 2023 in Slovakia, AMLDA-2023 in Germany, and other conferences in the USA, Dubai, and India. These presentations have solidified his reputation as a promising researcher in the field of Artificial Intelligence.

🧑‍🔬Tasks Completed as a Researcher 

Throughout his academic journey, Rahat has undertaken various research tasks that have significantly contributed to his field. His work includes designing, implementing, and optimizing deep learning models, developing novel algorithms, and conducting extensive research under the guidance of experts like Dr. Janjhyam Venkata Naga Ramesh. His hands-on experience in these areas has greatly enhanced his skills in computer science and engineering.

🚀Success Factors 

Rahat’s success can be attributed to his passion for technology, dedication to research, and willingness to explore new ideas. His laboratory experience includes working on cutting-edge projects related to deep learning and machine learning. His ability to innovate and his commitment to excellence have been key factors in his success.

🧪Publications & Laboratory Experience

Rahat’s contributions to the field are well-documented through his numerous publications in reputable journals and conferences. His laboratory experience has provided him with the necessary skills to excel in his research, making him a valuable contributor to the advancement of Artificial Intelligence and Machine Learning.

Citations

Citations            294

h-index              10

i10-index           10


🔍
Conclusion

 Irfan Sadiq Rahat 🌟 is paving the way for future advancements in the fields of Artificial Intelligence, Machine Learning, and beyond. His work not only reflects his individual brilliance but also contributes to the broader scientific community, inspiring others to follow in his footsteps.

📚Publications

Advancing breast ultrasound diagnostics through hybrid deep learning models

    Authors: Kiran, A., Ramesh, J.V.N., Rahat, I.S., Hossain, A., Uddin, R.

    Journal: Computers in Biology and Medicine

 

From Pixels to Pathology: The Power of CNNs in Detecting Tuberculosis

   Authors: Ghosh, H., Pavan Kumar, P., Rahat, I.S., Krishna, G.R., Ravindra, J.V.R.

   Journal:  EAI Endorsed Transactions on Pervasive Health and Technology,

 

Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification

Authors:  Panda, S.K., Naga Ramesh, J.V., Ghosh, H., Bijoy, M.H., Yesubabu, M.

    Journal: EAI Endorsed Transactions on Pervasive Health and Technology,

 

A Step Towards Automated Haematology: DL Models for Blood Cell Detection and Classification

    Authors:  Rahat, I.S., Ahmed, M.A., Rohini, D., Ghosh, H., Sobur, A.

    Journal:  EAI Endorsed Transactions on Pervasive Health and Technology

 

Exploring Deep Learning Models for Accurate Alzheimer’s Disease Classification based on MRI Imaging

     Authors:  Rahat, I.S., Hossain, T., Ghosh, H., Palvadi, S.K., Ravindra, J.V.R.

     Journal: EAI Endorsed Transactions on Pervasive Health and Technology, 

   

Yuchen Zhao | Remote Sensing | Best Researcher Award

Mr. Yuchen Zhao – Remote Sensing – Best Researcher Award

 

Hainan Normal University | China

      Profiles

📍Current Position

Master’s Student in Electronic Information-Computer Technology
At present, I am pursuing a Master’s degree in Electronic Information-Computer Technology at Hainan Normal University, where I hold the top rank in my major (1/19). My journey in this program has been marked by academic excellence and a deep engagement with cutting-edge research, positioning me at the forefront of technological innovation.

 

📝Publication Achievements 

Prolific Contributor to Research and Innovation
Throughout my academic career, I have been actively involved in research, resulting in several publications and patents. Some of my notable contributions include:

  1. Invention Patents: 2024: “A water depth prediction method for coastal waters” (Application No. 2024104873956) ,2024: “Method for inverting water depth using feature cascade algorithm” (Application No. 202410490021X) ,2022: “A flame and smoke identification method based on deep learning” (Application No. 2022115306298)
  2. Software Copyrights: 2023: “Mangrove ecological monitoring system based on deep learning and drone technology” 2023: “Automatic wildfire monitoring system based on deep learning and drone technology” 2021: “Local Epidemic Prevention Detection System Based on Machine Learning” 2021: “Fire Early Warning System for Laboratory Safety” 2021: “‘Epidemic Prevention Assistant’ Body Temperature Monitoring System”
🔍Ongoing Research 

Focused on Environmental and Safety Technologies
My ongoing research is centered around the development of innovative methods and systems that utilize deep learning and drone technology for environmental and safety monitoring. This includes the continuous improvement of systems for wildfire detection, coastal water depth prediction, and mangrove ecosystem monitoring. These projects not only contribute to the academic community but also have practical implications for environmental conservation and disaster prevention.

 

🔬Research Interests 

Passionate About Technology-Driven Solutions
My research interests lie at the intersection of deep learning, environmental monitoring, and safety systems. I am particularly fascinated by how machine learning and drone technology can be integrated to solve real-world problems. This passion drives my commitment to developing solutions that have both academic significance and societal impact.

🎓Academic Background 

Computer Science and Technology, Hainan Normal University (Undergraduate) 2018.09-2022.07
During my undergraduate studies at Hainan Normal University, I ranked 3rd out of 58 in my major. My academic journey was distinguished by several honors, including: Outstanding Graduation Thesis, Outstanding Graduate, Ye Shengtao Scholarship, National Inspirational Scholarship, First-Class Scholarship (twice), Outstanding Three-Good Student (twice),Top Ten Model in School.These accolades are a testament to my hard work and dedication throughout my undergraduate years.

Electronic Information-Computer Technology, Hainan Normal University (Master’s) 2022.09-present
Currently, as a Master’s student, I continue to excel academically, holding the top rank in my program (1/19). My achievements during this period include: National Scholarship, Outstanding Freshman Scholarship, First-Class Academic Scholarship (twice). These awards reflect my ongoing commitment to academic excellence and research innovation.

🏆Scholarships and Awards 

Recognized for Academic and Research Excellence
Throughout my academic career, I have received numerous scholarships and awards, highlighting my dedication to both academics and research. These include national and institutional scholarships, as well as prizes in various prestigious competitions such as the “Challenge Cup” and the “Lanqiao Cup.”

🧬Bioinformatics 

Integrating Bioinformatics with Technology
In my research, I have explored the use of bioinformatics tools to enhance the analysis and interpretation of large datasets. This interdisciplinary approach has enabled me to contribute to fields such as environmental monitoring, where bioinformatics techniques are used to analyze ecological data, further expanding the scope of my research.

🌐Professional Associations 

Active Engagement in Professional Communities
I am an active member of several professional associations related to computer science and technology. These memberships allow me to stay updated with the latest developments in my field, collaborate with other professionals, and contribute to the broader academic and research community.

 📚Training & Workshops 

Continuous Learning and Skill Development
I have participated in various training programs and workshops to enhance my skills and knowledge in computer science and technology. These experiences have equipped me with the latest tools and methodologies, enabling me to stay at the forefront of technological advancements.

 🎤Oral Presentations and🗣️Thought Leadership 

 Effective Communication of Research Findings
I have delivered several oral presentations at academic conferences and competitions, where I have shared my research findings with peers and experts. These presentations have helped me refine my communication skills and gain valuable feedback from the academic community.

🧑‍🔬Tasks Completed as a Researcher 

 Comprehensive Research and Development
As a researcher, I have completed several significant tasks, including the development of novel algorithms for environmental monitoring, the creation of safety systems using deep learning, and the application of bioinformatics tools in ecological studies. These tasks have contributed to the advancement of knowledge in these areas and have practical implications for society.

🚀Success Factors 

Dedication, Innovation, and Hard Work
My success in academia and research can be attributed to my dedication, innovative thinking, and relentless hard work. These qualities have enabled me to achieve academic excellence, make significant research contributions, and excel in various competitions.

🧪Publications & Laboratory Experience

A Rich Portfolio of Publications and Practical Experience
My portfolio includes numerous publications and patents, as well as extensive laboratory experience. This combination of theoretical knowledge and practical application has allowed me to make meaningful contributions to the field of computer science and technology, particularly in areas related to environmental monitoring and safety systems.

🔍 Conclusion

my personal resume reflects a journey of hard work, academic excellence, and a deep commitment to research and innovation. As I continue to pursue my Master’s degree and engage in cutting-edge research, I remain dedicated to making a positive impact through technology and contributing to the advancement of knowledge in my field.

📚Publications

MSFANet: multi-scale fusion attention network for mangrove remote sensing lmage segmentation using pattern recognition

     Authors: Fu, L., Chen, J., Wang, Z., … Wu, S., Zhao, Y.

     Journal: Journal of Cloud Computing

 

Convolution Feature Inference-Based Semantic Understanding Method for Remote Sensing Images of Mangrove Forests

   Authors: Wu, S., Zhao, Y., Wang, Y., Zang, T., Chen, H.

   Journal: Electronics (Switzerland)

 

Fire Detection Algorithm Based on an Improved Strategy of YOLOv5 and Flame Threshold Segmentation

    Authors:  Zhao, Y., Wu, S., Wang, Y., Zhang, X., Zhao, H.

    Journal: Computers, Materials and Continua

 

 

Ibrahim Khalifa Elmghaamez | International Auditing and Financial Reporting Standards | Best Researcher Award

Dr. Ibrahim Khalifa Elmghaamez – International Auditing and Financial Reporting Standards – Best Researcher Award

 

Coventry University | United Kingdom

      Profiles

📍Current Position

Lecturer in Accounting, Coventry University, UK
Dr. Ibrahim Khalifa Elmghaamez is currently a Lecturer in Accounting at Coventry University, where he has been serving since January 2020. His role includes delivering lectures, conducting seminars, and providing feedback for both undergraduate and postgraduate modules. He has been instrumental in leading the 5004ACC Professional and Academic Competencies module, which focuses on enhancing students’ employability skills and research capabilities.

 

📝Publication Achievements 

Extensive Research Contributions
Dr. Elmghaamez has an impressive list of publications in reputable journals. His research has primarily focused on corporate governance, financial performance, and the diffusion of international accounting standards. Notable among his works are studies on ESG disclosure, the impact of board characteristics on financial performance, and the effectiveness of internal governance controls. His work is widely recognized and frequently cited, showcasing his influence in the field of accounting.

🔍Ongoing Research 

Corporate Governance and ESG
Dr. Elmghaamez is currently engaged in research that examines the interaction between corporate governance, ESG disclosure, and financial performance. His work aims to provide insights into how governance systems in developed economies influence these interactions, contributing valuable knowledge to both academic and professional communities.

 

🔬Research Interests 

Corporate Governance, ESG, and Financial Performance
His research interests are deeply rooted in corporate governance, financial accounting, and the economic implications of international auditing standards. Dr. Elmghaamez is particularly focused on how these areas intersect with ESG reporting, providing a comprehensive understanding of the financial performance of multinational enterprises.

🎓Academic Background 

Ph.D. in Accounting & Finance
Dr. Elmghaamez holds a Ph.D. in Accounting & Finance from the University of Huddersfield, UK. His academic journey also includes an MSc in Accounting & Finance from De Montfort University and a Master’s and Bachelor’s degree in Accounting from Tripoli University, Libya. His strong educational background laid the foundation for his successful academic career.

🏆Scholarships and Awards 

Recognition for Academic Excellence
Throughout his career, Dr. Elmghaamez has received numerous accolades, including the Fellowship of the Higher Education Academy (FHEA) and the Associate Fellowship (AFHEA) from Coventry University. These recognitions highlight his commitment to teaching excellence and his contributions to academic research.

🧬Bioinformatics 

Integration of Technology in Accounting
Dr. Elmghaamez’s work incorporates advanced analytical methods, including the use of bioinformatics tools for financial data analysis. His expertise in this area allows him to contribute to the growing intersection between technology and accounting, particularly in the analysis of large datasets for corporate governance and financial reporting.

🌐Professional Associations 

Active Memberships
He is an active member of several professional associations, including the Higher Education Academy and academic review boards for top accounting journals. His involvement in these organizations reflects his dedication to staying current in his field and contributing to the broader academic community.

 📚Training & Workshops 

Enhancing Teaching and Research Skills
Dr. Elmghaamez has participated in various training programs, such as the Teaching Assistant Preparation Program at the University of Huddersfield and the Certificate in Innovative Learning and Teaching at Coventry University. These workshops have equipped him with the latest pedagogical techniques, enhancing his effectiveness as an educator.

 🎤Oral Presentations and🗣️Thought Leadership 

Engaging Academic Presentations
He has delivered numerous presentations at international conferences, sharing his research findings with the global academic community. His presentations are known for their clarity and depth, often sparking lively discussions and further research collaborations.

 🧑‍🔬Tasks Completed as a Researcher 

Comprehensive Research Contributions
Dr. Elmghaamez has completed significant research tasks, including the analysis of ESG disclosures, corporate governance structures, and the adoption of international auditing standards. His work has provided valuable insights into how these factors influence financial performance, particularly in multinational enterprises.

 🚀Success Factors 

Dedication, Innovation, and Collaboration
Dr. Elmghaamez’s success can be attributed to his dedication to academic excellence, innovative research approaches, and collaborative spirit. His ability to integrate theoretical knowledge with practical applications has made him a respected figure in the field of accounting.

 🧪Publications & Laboratory Experience

A Prolific Scholar with Hands-On Experience
Dr. Elmghaamez’s publication record is a testament to his research capabilities, with numerous articles in high-impact journals. His laboratory experience, particularly in the use of bioinformatics for financial data analysis, further underscores his expertise in combining theoretical research with practical applications.

🔍 Conclusion

Dr. Ibrahim Khalifa Elmghaamez is a highly accomplished academic with a strong track record in teaching, research, and professional development. His contributions to the field of accounting, particularly in corporate governance and financial performance, have been widely recognized. As he continues his career, Dr. Elmghaamez remains committed to advancing knowledge, mentoring the next generation of accounting professionals, and contributing to the academic community through his innovative research and teaching.

📚Publications

Diffusion theory, economic consequences, and adoption of international standards on auditing around the world

     Authors: Elmghaamez, I.K., Ntim, C.G., Yekini, K.C.

The Uses of a Dual-Band Corrugated Circularly Polarized Horn Antenna for 5G Systems

    Authors: Elmghaamez, I.K., Nwachukwu, J., Ntim, C.G.

Corporate governance and financial performance of firms listed on Asian Pacific stocks: evidence from Malaysia, Thailand, and Singapore

   Authors: Elmghaamez, I.K., Gan, X.Y.

   Journal: International Journal of Business Governance and Ethics

 

The causes and effects of IFRS adoption speed: diffusion of innovation theory perspective

   Authors: Elmghaamez, I.K.

   Journal:  International Journal of Managerial and Financial Accounting

 

Corporate social responsibility and financial performance of product and service-based firms listed on London Stock Exchange

   Authors:  Elmghaamez, I.K., Olarewaju, J.I.

   Journal: Corporate Social Responsibility and Environmental Management

 

 

Liang-Hung Wang | Biomedical Engineering | Best Researcher Award

Prof. Liang-Hung Wang – Biomedical Engineering – Best Researcher Award

 

Fuzhou University | China

      Profiles

📍Current Position

Since March 2014, Professor Liang-Hung Wang has been serving as a Professor and Ph.D. Supervisor in the Department of Microelectronics at the College of Physics and Information Engineering, Fuzhou University, China. In this role, he leads the Fujian-Taiwan Science and Technology Cooperation Platform and directs the International Joint Laboratory for Intelligent Health Systems and Biochip Development. Additionally, he holds the position of Deputy Director of the Department of Microelectronics, where he oversees various research initiatives and academic programs.

 

📝Publication Achievements 

Journals Published

Professor Wang boasts an extensive publication record, including influential papers in high-impact journals such as the Journal of Cleaner Production, Polish Journal of Environmental Studies, and the Journal of Urban Planning and Development. Notable publications include: “The Effect of Mandatory Environmental Regulation on Innovation Performance: Evidence from China”Journal of Cleaner Production, 2018. (SCI JCR Q1, Impact Factor 11.075, cited 109 times) “Sustainable Development: R&D Internationalization and Innovation”Polish Journal of Environmental Studies, 2023. (SCI) “Whether Openness and Inclusiveness Exacerbates Urban Pollution: Evidence from China”Journal of Urban Planning and Development, 2022. (SSCI JCR Q3, Impact Factor 2.573) “The Impact of Banking Competition on Firm Credit Risk and Leverage”Sage Open, 2021. (SSCI JCR Q2, Impact Factor 2.1)

🔍Ongoing Research 

Currently, Professor Wang is spearheading seven research projects and managing 10 working papers. His research portfolio encompasses: Low-Power Biological Signal Acquisition and Detection ICs Design: Developing energy-efficient integrated circuits for biomedical applications. Automatic Identification and Classification of Heart Disease: Utilizing AI algorithms to analyze ECG signals and diagnose cardiac conditions. Brain-Computer Interface (BCI) and EEG Signal Analysis: Exploring advanced methods for interpreting brain signals to enhance human-computer interactions. Heterogeneous Data Processing in Cardiac Medical Information and Brain Science: Integrating diverse data sources to improve diagnostic accuracy and treatment efficacy.

 

🔬Research Interests 

Professor Wang’s research interests are multifaceted, focusing on: Innovation and Network Analysis: Studying how innovation networks impact technological advancements and economic growth. R&D Internationalization: Examining the global expansion of research and development activities and their effects on innovation performance. Environmental Management: Investigating sustainable practices and regulatory impacts on environmental and economic systems. Bioinformatics for Telemedicine and Healthcare Applications: Developing algorithms and systems for remote health monitoring and diagnosis.

🎓Academic Background 

h.D. in Electrical EngineeringNational Chung Cheng University, Chiayi, Taiwan, 2013. M.S. in Electrical EngineeringI-Shou University, Kaohsiung, Taiwan, 2003. B.S. in Electrical EngineeringI-Shou University, Kaohsiung, Taiwan, 2000.

🏆Scholarships and Awards 

Throughout his career, Professor Wang has received numerous accolades, including: IEEE Senior Membership – April 2019 Innovation and Entrepreneurship Taiwan Talents – Second Batch of Fujian Provincial Introduced Taiwan’s High-Level Hundred Talents, March 2019. Excellent Taiwanese Talents in Fujian – Third Batch of Excellent Hundred Persons Program, March 2018. TWEMBA Outstanding Ph.D. Dissertation Award for his work on “A Wireless ECG Acquisition SoC for Healthcare Monitoring,” January 2014. Outstanding Project Award of NSOC, Ministry of Education, Taiwan – November 2011.

🧬Bioinformatics 

While Professor Wang’s primary expertise lies in electrical engineering and integrated circuit design, his work intersects significantly with bioinformatics, particularly in the development of biomedical circuits and systems for healthcare applications. His research includes: Portable ECG Signal Acquisition Systems: Designing low-power ICs for real-time heart monitoring. AI-Driven ECG Analysis: Implementing machine learning algorithms for automatic detection and classification of heart diseases. Brain-Computer Interfaces (BCI): Developing systems that interpret EEG signals to facilitate advanced human-computer interactions.

🌐Professional Associations 

Professor Wang is an active member of several prestigious organizations, including: IEEE Circuits and Systems Society IEEE Solid-State Circuits Society IEEE Consumer Electronics Society IEEE Engineering in Medicine and Biology Society.

 📚Training & Workshops 

Dedicated to continuous learning and knowledge dissemination, Professor Wang participates in and conducts numerous workshops and training sessions. His expertise has been shared globally, including: Teaching Assistant Roles Abroad: Malaysia Intel Analog Design Engineering, Intel Design Center (2011-09): Courses on Radio Frequency Integrated Circuits and Analog Filter Design. University of the Philippines (UP) (2008-10): Analog Filter Design. Workshops at Fuzhou University: Leading sessions on integrated circuit design, system integration, and bioinformatics applications in healthcare.

 🎤Oral Presentations and🗣️Thought Leadership 

Professor Wang has delivered numerous oral presentations at international conferences, sharing his research findings with the global scientific community. His presentations cover topics such as: Low-Power ECG Acquisition Systems: Demonstrating advancements in biomedical circuit design for healthcare monitoring. AI Algorithms for Heart Disease Classification: Presenting novel approaches to automatic ECG signal analysis. Brain-Computer Interfaces: Exploring the integration of EEG signal processing with intelligent health systems.

 🧑‍🔬Tasks Completed as a Researcher 

Throughout his career, Professor Wang has successfully managed and completed a variety of research tasks, including: Leading Multi-disciplinary Research Projects: Coordinating efforts across electrical engineering, bioinformatics, and environmental management. Publishing in High-Impact Journals: Contributing significant findings to respected publications, enhancing the visibility and impact of his research. Mentoring Ph.D. Students: Guiding the next generation of researchers through rigorous academic training and research supervision. Developing Innovative IC Designs: Creating advanced integrated circuits for biomedical applications, such as ECG signal acquisition and RFID systems.

 🚀Success Factors 

Several key factors contribute to Professor Wang’s success: Interdisciplinary Expertise: Combining knowledge from electrical engineering, bioinformatics, and environmental science to tackle complex problems. Commitment to Innovation: Continuously developing cutting-edge technologies and methodologies in his research. Collaborative Spirit: Engaging with international partners and professional associations to enhance research quality and impact. Strong Academic Foundation: Leveraging his extensive education and professional experience to drive research excellence and academic leadership.

 🧪Publications & Laboratory Experience

Professor Wang’s publications reflect his deep involvement in both theoretical and applied research. His laboratory experience includes: Biomedical Circuit Design: Developing low-power ICs for ECG signal acquisition, integrating analog and digital circuits for efficient data processing. AI-Based Signal Processing: Implementing machine learning algorithms to enhance the accuracy of heart disease detection and classification. Brain-Computer Interface Development: Creating systems that translate EEG signals into actionable data for improved human-computer interactions.

🔍 Conclusion

Professor Liang-Hung Wang is a distinguished academic and researcher whose work bridges electrical engineering, bioinformatics, and environmental management. His leadership at Fuzhou University, combined with his extensive publication record and active participation in professional societies, highlights his dedication to advancing technology and improving healthcare systems. Through innovative research, mentorship, and collaboration, Professor Wang continues to make significant contributions to his fields, driving progress and fostering the development of intelligent health systems.

📚Publications

VLSI Design Based on Block Truncation Coding for Real-Time Color Image Compression for IoT

     Authors: Shih-Lun chen; He-Sheng Chou; Shih-Yao Ke; Chiung An Chen; Tsung-Yi Chen; Mei-Ling Chan;

The Uses of a Dual-Band Corrugated Circularly Polarized Horn Antenna for 5G Systems

    Authors: chih-kai liu; Wei-Yuan Chiang; Pei-Zong Rao; Pei-Hsiu Hung; Shih-Hung Chen; Chiung An Chen;

A Classification and Prediction Hybrid Model Construction with the IQPSO-SVM Algorithm for Atrial Fibrillation Arrhythmia

    Authors: Liang-Hung Wang; Ze-Hong Yan; Yi-Ting Yang; Jun-Ying Chen; Tao Yang; I-Chun Kuo;

A Novel Low-Power Synchronous Preamble Data Line Chip Design for Oscillator Control Interface

    Authors:  Shih-Lun chen; Tsun-Kuang Chi; Min-Chun Tuan; Chiung-An Chen; Liang-Hung Wang; Wei-Yuan Chiang; Ming-Yi Lin;

A Low-Power High-Data-Transmission Multi-Lead ECG Acquisition Sensor System

    Authors: Liang-Hung Wang; Wei Zhang; Ming-Hui Guan; Su-Ya Jiang; Ming-Hui Fan; Patricia Angela Abu;

   Journal:  Sensors

Zhubo Li | Innovation Strategy | Best Researcher Award

Dr. Zhubo Li – Innovation Strategy – Best Researcher Award

 

Wuhan University of Technology, School of Entrepreneurship | China

      Profiles

📍Current Position

Zhubo Li is currently a Lecturer at the School of Entrepreneurship, Wuhan University of Technology. He is actively engaged in teaching and mentoring students while simultaneously advancing his research career. His role at the institution allows him to contribute to the academic community through both educational and research-oriented activities.

 

📝Publication Achievements 

Journals Published

Zhubo Li has an impressive record of publications, with articles featured in high-impact journals such as the Journal of Cleaner Production, Polish Journal of Environmental Studies, and Journal of Urban Planning and Development. His research primarily focuses on environmental management, innovation, and the economic impacts of regulatory frameworks. His paper, “The Effect of Mandatory Environmental Regulation on Innovation Performance: Evidence from China,” published in the Journal of Cleaner Production, stands out for its significant impact, having been cited over 109 times. This publication is an example of his contribution to understanding the intersection of environmental regulations and innovation performance.

🔍Ongoing Research 

Currently, Zhubo Li is involved in seven active research projects. These projects continue to explore his core research interests, including innovation, network effects, and environmental management. Additionally, he has 10 working papers that are in various stages of development, showcasing his dedication to expanding the boundaries of his research areas. These ongoing efforts reflect his commitment to contributing valuable insights into the academic community and the broader field of economic management.

 

🔬Research Interests 

Zhubo Li’s research interests are broad yet focused, covering topics such as innovation, R&D internationalization, and environmental management. His work often intersects with the challenges of urban planning and development, examining how regulatory frameworks influence innovation and environmental sustainability. By addressing these complex issues, his research provides valuable policy insights that aim to optimize state-owned enterprise reforms and enhance their competitiveness in the modern economy.

🎓Academic Background 

Dr. Zhubo Li earned his Ph.D. in a field closely related to economic management and environmental studies, which laid the foundation for his subsequent research and teaching career. His academic journey has equipped him with the expertise necessary to tackle complex issues in innovation and environmental management, making him a well-respected figure in his field.

🏆Scholarships and Awards 

Throughout his academic career, Zhubo Li has been recognized for his contributions to research and academia. His work has earned him accolades such as the Best Researcher Award and the Outstanding Scientist Award, acknowledging his dedication and impact in his field.

🧬Bioinformatics 

While Zhubo Li’s primary research is not centered on bioinformatics, the analytical and computational skills he applies to his studies in environmental management and innovation performance are akin to those used in bioinformatics. His approach to research often involves complex data analysis and modeling, which are essential components of bioinformatics.

🌐Professional Associations 

Zhubo Li is an active member of several professional organizations that align with his research interests. These memberships provide him with platforms to collaborate with fellow researchers, share his findings, and stay updated with the latest developments in his field.

 📚Training & Workshops 

As a proactive academic, Zhubo Li frequently participates in and conducts workshops and training sessions. These activities are aimed at both sharing his knowledge with peers and students and staying abreast of the latest research methodologies and trends in his areas of interest.

 🎤Oral Presentations and🗣️Thought Leadership 

Zhubo Li has delivered numerous oral presentations at international conferences, sharing his research findings with a global audience. His presentations are well-regarded for their clarity and the depth of insight they provide into complex issues such as environmental regulation and innovation.

 🧑‍🔬Tasks Completed as a Researcher 

Throughout his career, Zhubo Li has completed a variety of research tasks, including leading projects, publishing in high-impact journals, and mentoring students. His ability to manage and complete these tasks effectively demonstrates his expertise and commitment to advancing knowledge in his field.

 🚀Success Factors 

Several factors contribute to Zhubo Li’s success as a researcher and academic. These include his strong academic background, his dedication to continuous learning, his ability to collaborate effectively with other researchers, and his commitment to producing high-quality, impactful research.

 🧪Publications & Laboratory Experience

Zhubo Li’s publications highlight his extensive experience in conducting empirical research and applying rigorous methodologies. His work in the laboratory, particularly in environmental studies, has led to the development of new insights and innovations that have practical applications in both policy and industry.

🔍 Conclusion

In summary, Zhubo Li is a distinguished Lecturer at Wuhan University of Technology, whose research on environmental management and innovation has made a significant impact on both academia and industry. With a strong publication record, ongoing research projects, and active participation in professional communities, he continues to push the boundaries of knowledge in his field. His success is driven by his dedication to research, his collaborative spirit, and his commitment to education and innovation.

📚Publications

Are cities under bright lights more innovative? Evidence from China

   Authors: Jiang, Z., Li, Z., Wang, J.

   Journal: Heliyon

  

Sustainable Development: R&D Internationalization and Innovation

   Authors: Li, Z., Li, M., Han, Y., Ye, X.

   Journal: Polish Journal of Environmental Studies

 

Whether Openness and Inclusiveness Exacerbates Urban Pollution: Evidence from China

    Authors: Jiang, Z., Li, Z., Wang, Z.

    Journal: Journal of Urban Planning and Development

 

Industry and Regional Environmental Regulations: Policy Heterogeneity and Firm Performance

    Authors: Li, M., Li, Z.

    Journal: Polish Journal of Environmental Studies

 

Sofiia Lahutina | digital innovations in mental health | Best Researcher Award

Dr. Sofiia Lahutina – digital innovations in mental health – Best Researcher Award

 

Charite, German National Academy of Science Leopoldina | Germany

      Profiles

📍Current Position

Dr. Sofiia Lahutina currently serves as a Project Manager/Research Assistant for the humanitarian project “Strengthening of Long-term Medical and Psychosocial Infrastructures in Ukraine by a Network of Hospital Partnerships” at Charité – Universitätsmedizin Berlin, Germany. Since 2022, she has been instrumental in coordinating efforts to improve the medical and psychosocial infrastructure in Ukraine amidst the ongoing challenges faced by the region.

 

📝Publication Achievements 

Journals Published

Dr. Lahutina has made significant contributions to the field of medical psychology through her extensive research and publications. Her work is recognized internationally, with multiple papers addressing critical topics such as PTSD prevention, digital mental health interventions, and the psychosomatic impact of war on displaced populations. These publications have been presented at various prestigious international conferences and published in leading journals, showcasing her dedication to advancing mental health care through innovative research.

🔍Ongoing Research 

Dr. Sofiia Lahutina holds an MD from Bogomolets National Medical University in Kyiv, Ukraine, where she also pursued her Ph.D. in Medical Psychology. Her academic journey began in 2012, culminating in a doctoral degree expected in 2023. In addition to her medical qualifications, Dr. Lahutina has furthered her expertise with a Master’s degree in Public Management from the Institute of Public Employment Service Management.

 

🔬Research Interests 

Dr. Lahutina’s research interests include: Digital mental healt . Sleep health, Stress-related disorders, Psychosomatic medicine, Psychotherapy

🎓Academic Background 

Dr. Sofiia Lahutina holds an MD from Bogomolets National Medical University in Kyiv, Ukraine, where she also pursued her Ph.D. in Medical Psychology. Her academic journey began in 2012, culminating in a doctoral degree expected in 2023. In addition to her medical qualifications, Dr. Lahutina has furthered her expertise with a Master’s degree in Public Management from the Institute of Public Employment Service Management.

🏆Scholarships and Awards 

Throughout her career, Dr. Lahutina has received numerous accolades for her outstanding contributions to medical psychology. Notably, she was honored with the EFPT Award for Excellence in 2021, recognizing her exceptional work in psychiatric training and research. She also received the Psychotherapy Initiative Award from the European Federation of Psychiatric Trainees in 2018, underscoring her commitment to advancing psychotherapy practices in Ukraine.

🧬Bioinformatics 

Dr. Lahutina’s work in bioinformatics focuses on the intersection of technology and mental health, particularly in the development and deployment of digital mental health tools. Her research involves analyzing large datasets from digital interventions to understand their effectiveness in reducing stress and improving mental health outcomes in populations affected by war and displacement.

🌐Professional Associations 

Dr. Lahutina is an active member of several professional associations, including the European Federation of Psychiatric Trainees (EFPT), where she represents Ukraine as the national delegate. Her involvement in these associations allows her to stay at the forefront of developments in psychiatric training and research, while also contributing her insights to the broader psychiatric community.

 📚Training & Workshops 

Dr. Lahutina has participated in numerous international workshops and training programs to hone her skills in psychotherapy and digital mental health. Notable among these are the ECNP Workshop on Neuropsychopharmacology for Early Career Scientists in Nice, France, and the Dialectical Behavioral Therapy Certification Project by the Institute of DBT Arbeitsgemeinschaft Wissenschaftliche Psychotherapie in Germany. These experiences have equipped her with advanced therapeutic techniques and a deep understanding of the neurobiological aspects of mental health.

 🎤Oral Presentations and🗣️Thought Leadership 

Dr. Lahutina has delivered impactful presentations at various international conferences, sharing her research on topics such as the vulnerability of mental health professionals in war times, digital interventions for war victims, and gender differences in stress-related disorders. Her presentations are well-regarded for their depth of knowledge and practical insights, contributing to global discussions on mental health in crisis situations.

 🧑‍🔬Tasks Completed as a Researcher 

Dr. Lahutina’s success can be attributed to her unwavering dedication to her field, her ability to adapt to challenging environments, and her innovative approach to mental health care. Her deep understanding of the psychosomatic effects of war, combined with her expertise in digital health tools, has enabled her to make significant strides in improving mental health outcomes for those affected by conflict.

 🚀Success Factors 

Dr. Lahutina’s success can be attributed to her unwavering dedication to her field, her ability to adapt to challenging environments, and her innovative approach to mental health care. Her deep understanding of the psychosomatic effects of war, combined with her expertise in digital health tools, has enabled her to make significant strides in improving mental health outcomes for those affected by conflict.

 🧪Publications & Laboratory Experience

Dr. Lahutina’s laboratory experience is extensive, involving both clinical and research settings. She has contributed to the development of digital tools for mental health assessment and intervention, and her publications reflect a strong focus on practical applications of her research. Her work in the laboratory has been instrumental in validating the effectiveness of these tools, ensuring they meet the highest standards of scientific rigor.

📚Publications

A Digital Self-Help Tool to Promote Mental Well-Being for Ukrainians Affected by War – Assessing Predictors of Stress

     Authors: Sofiia Lahutina; Iryna Frankova; Marius Gruen; Eric Vermetten; Joseph Zohar; Manuel Spitschan; Malek                            Bajbouj

Study of the sleep health of war victims in Ukraine using a digital tool

    Authors: Sofiia Lahutina.