Jihong Liu | technology innovation | Best Researcher Award

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Assoc. Prof. Dr. Jihong Liu  –  technology innovation – Best Researcher Award

Alignment with Award Category

Dr. Liu’s research aligns seamlessly with the Best Researcher Award or Excellence in Innovation category. Her interdisciplinary innovations in electronic and biological signal processing, combined with practical applications in wearable device systems, position her as a transformative figure in applied science and engineering. Her balance of research leadership and educational excellence sets a high benchmark in her field.

 Northeastern University | China

Profile

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Scholar

🎓Early Academic Pursuits 

Education and Training

Dr. Jihong Liu began her academic journey with a strong foundation in the fields of electronic technology and information systems. Her early studies laid the groundwork for a multidisciplinary career that merges electronics, biology, and intelligent systems. Demonstrating academic excellence and a passion for engineering innovation, she swiftly rose through the academic ranks, later earning her current role as an Associate Professor at Northeastern University, China. From the very beginning, her intellectual curiosity centered around real-world applications of engineering knowledge—particularly in how technology can be harnessed to gather and analyze biological information. These early academic choices became the bedrock of her career in both teaching and research.

💼Professional Endeavors 

Academic Positions

Currently serving as an Associate Professor at Northeastern University, Dr. Jihong Liu is also recognized as one of the famous teachers of Liaoning Province, a testament to her excellence in pedagogy and mentoring. She is responsible for delivering several core courses that form the foundation of electronic engineering education, including: Basics of Analog Electronic Technology, Basics of Digital Electronic Technology, Application of Electronic Components, Intelligent Electronics and Information Technology, Digital Signal Processing

📚Contributions and Research Focus on technology innovation

Dr. Liu’s research sits at the exciting intersection of electronic technology, biological information collection and analysis, and intelligent information processing. She is particularly focused on developing Flexible Sensors for Wearable Devices. These cutting-edge technologies are designed to collect and process biological data in real-time, making them highly relevant for healthcare, fitness, and lifestyle applications. Her work significantly contributes to enhancing the efficiency and functionality of wearable technologies, which are rapidly becoming integral to modern life. These sensors not only monitor biological signals but also enable smart decision-making systems—a hallmark of next-generation intelligent devices. By advancing this research, she plays a pivotal role in driving innovation in smart electronics and personalized healthcare systems.

🏆Accolades and Recognition 

Dr. Jihong Liu has earned multiple distinctions throughout her career. Her designation as a famous teacher of Liaoning Province underscores her excellence and influence as an educator. This honor is reserved for top-tier faculty members who have demonstrated exceptional teaching effectiveness, innovative instructional methods, and a strong impact on student outcomes. Her scholarly contributions have also earned her academic visibility and citations in highly respected publications. Her Google Scholar profile records 752 citations, reflecting the growing recognition and influence of her research in the global academic community. These figures are a clear indicator of the relevance and scientific value of her work in the domains of sensor technology and bio-information systems.

🌍 Impact and Influence 

Community Impact

The impact of Dr. Liu’s research transcends academic circles. By focusing on flexible sensors for wearable devices, she addresses some of the most critical challenges in healthcare monitoring and real-time data analytics. These innovations contribute to the advancement of smart medical systems, enabling early detection of health anomalies, enhancing diagnostic accuracy, and improving patient outcomes. Her dual role as a teacher and researcher allows her to shape both minds and technologies. Students trained under her guidance not only gain foundational knowledge but are also exposed to the frontiers of innovation—making them well-equipped to tackle real-world challenges. Moreover, her research publications, widely read and cited, continue to inform and inspire other researchers in similar domains.

🔮Legacy and Future Contributions 

Dr. Jihong Liu’s contributions to Northeastern University and the broader academic and technological communities are profound. Her interdisciplinary research is expected to lead to further breakthroughs in wearable health monitoring, smart electronics, and biological signal processing. With the wearable device market projected to grow substantially in the coming years, her work will likely remain central to its evolution. Looking ahead, Dr. Liu aims to expand the applications of her flexible sensor systems, integrating them with artificial intelligence and cloud computing to develop even more responsive and intelligent information processing systems. She is also expected to mentor the next generation of engineers and researchers who will carry forward her legacy of innovation, education, and technological advancement.

 

Conclusion

In summary, Dr. Jihong Liu, Associate Professor at Northeastern University, stands as a remarkable figure in the fields of electronic technology, biological information collection and analysis, and intelligent information processing. Her contact details—liujihong@ise.neu.edu.cn—reflect her openness to academic and collaborative inquiries. With a strong academic background, a portfolio of impactful research, and a teaching record that inspires, she continues to be a driving force in her discipline. Through her ongoing work on flexible sensors for wearable devices, Dr. Liu is helping to shape a smarter, healthier, and more connected world.

📚Publications

Research on Flexible Sensors for Wearable Devices: A Review

Authors:  Jihong Liu; Hongming Liu

Journals: Nanomaterials

A Saturation Artifacts Inpainting Method Based on Two-Stage GAN for Fluorescence Microscope Images

Authors: Jihong Liu; Fei Gao; Lvheng Zhang; Haixu Yang

Journals: Micromachines

Applications of Graphene-Based Materials in Sensors: A Review

Authors: Jihong Liu; Siyu Bao; Xinzhe Wang

Journals: Micromachines

Research Progress of ECG Monitoring Equipment and Algorithms Based on Polymer Materials

Authors: Lvheng Zhang; Jihong Liu

Journals: Micromachines

Recent Progress in Flexible Wearable Sensors for Vital Sign Monitoring

Authors: Jihong Liu; Meilin Liu; Yu Bai; Jiahao Zhang; Hongwei Liu; Wenbin Zhu

Journals: Sensors

S Krishnaveni | AI | Women Researcher Award

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Dr. S. Krishnaveni –  AI  – Women Researcher Award

Alignment with Award Category

Dr. Krishnaveni’s exceptional research output, innovative projects, and consistent contributions to critical technological fields align perfectly with the criteria for the Women Researcher Award. Her interdisciplinary approach and commitment to addressing global challenges through technology make her a standout candidate.

 

SRMIST: SRM Institute of Science and Technology (Deemed to be University) | India

Scopus

Orcid

Scholar

🎓Early Academic Pursuits 

Education and Training

DR. S. KRISHNAVENI, B.E, M.Tech, Ph.D., PDF U.K, embarked on her academic journey with a Bachelor of Engineering in Computer Science from Bharathidasan University in 2003, graduating with distinction. Her passion for technology and computing led her to pursue a Master of Technology in Information Technology from SRM Institute of Science and Technology in 2006, again achieving distinction. Demonstrating a steadfast commitment to academic excellence, she earned her Ph.D. in Computer Science Engineering from SRM Institute of Science and Technology in 2019. Her academic endeavors culminated in a prestigious Post-Doctoral Fellowship in Computer Science Engineering at City, University of London, U.K., in 2023, reflecting her relentless pursuit of knowledge and expertise in her field.

💼Professional Endeavors 

Academic Positions

DR. KRISHNAVENI’s professional journey is marked by progressive roles in academia. She began as a Lecturer at GKM College of Engineering & Technology in 2003, followed by positions at Bharath University and Panimalar Engineering College. In 2010, she joined SRM Institute of Science and Technology as an Assistant Professor, where she served until 2022. Her dedication and contributions were recognized with her promotion to Associate Professor in January 2022. At SRM, she has been an integral part of the Faculty of Engineering & Technology, School of Computing, Department of Computational Intelligence, located in Kattankulathur, Tamil Nadu, India.

📚Contributions and Research Focus on Digital Transformation

DR. KRISHNAVENI’s professional journey is marked by progressive roles in academia. She began as a Lecturer at GKM College of Engineering & Technology in 2003, followed by positions at Bharath University and Panimalar Engineering College. In 2010, she joined SRM Institute of Science and Technology as an Assistant Professor, where she served until 2022. Her dedication and contributions were recognized with her promotion to Associate Professor in January 2022. At SRM, she has been an integral part of the Faculty of Engineering & Technology, School of Computing, Department of Computational Intelligence, located in Kattankulathur, Tamil Nadu, India.

 

🏆Accolades and Recognition 

Throughout her illustrious career, DR. KRISHNAVENI has received numerous awards and recognitions. These include the “Veteran Innovator in Academic Collaboration Award” by the AIMER Society in 2024, the “Women Power India Award” for Women Researcher of the Year by Raj Square Charity Foundation in 2023, and multiple Best Paper Awards at international conferences. She was also honored with the Microsoft Azure Educator Grant Award in 2014 and recognized as the best reviewer for the international journal “Concurrency Computation: Practice and Application” in 2022. Her extensive publication record includes 15 SCI publications, 5 in Q1 journals, and 41 papers indexed in Scopus, reflecting her significant contributions to scientific literature.

🌍 Impact and Influence 

Community Impact

DR. KRISHNAVENI’s influence extends beyond her research contributions. She has over 20 years of teaching experience and 12 years of research experience, mentoring numerous students and young researchers. Her leadership roles include serving as an Academic Advisor, Alumni Coordinator, and Funded Project Coordinator at SRM Institute of Science and Technology. She has organized various workshops and faculty development programs, fostering a culture of continuous learning and professional development among her peers and students.

🔮Legacy and Future Contributions 

DR. KRISHNAVENI’s legacy is defined by her unwavering commitment to advancing the fields of cybersecurity, artificial intelligence, and healthcare technology. Her current research projects aim to leverage AI and machine learning for improving diagnostic tools and healthcare delivery. As an Associate Professor and a seasoned researcher, she continues to inspire and guide the next generation of engineers and scientists. Her ongoing efforts in curriculum development, academic writing, and strategic planning ensure that her contributions will have a lasting impact on the academic and scientific communities.

Conclusion

In conclusion, DR. S. KRISHNAVENI, B.E, M.Tech, Ph.D., PDF U.K, exemplifies academic excellence, innovative research, and dedicated mentorship. Her extensive contributions to cybersecurity, artificial intelligence, and healthcare technology, coupled with her numerous accolades and leadership roles, highlight her as a prominent figure in her field. Her work at SRM Institute of Science and Technology continues to shape the future of computing and engineering, leaving an indelible mark on both her students and the broader scientific community.

📚Publications

  • TwinSec-IDS: An Enhanced Intrusion Detection System in SDN-Digital-Twin-Based Industrial Cyber-Physical Systems

    Authors:  Krishnaveni, S., Sivamohan, S., Jothi, B., Chen, T.M., Sathiyanarayanan, M.

    Journals:  Concurrency and Computation: Practice and Experience

  • NeuroFlex: An IoT-Integrated Glove for Personalized Post-Stroke Rehabilitation with an Explainable Machine Learning-Based Monitoring System

    Authors:  Krishnaveni, S., Sivanandam, S., Nagarani, S., Chen, T.M., Sathiyanarayanan, M.

    Journals:  Lecture Notes in Networks and Systems

  • Optimized Tiny Machine Learning and Explainable AI for Trustable and Energy-Efficient Fog-Enabled Healthcare Decision Support System

    Authors:  Arthi, R., Krishnaveni, S.

    Journals:  International Journal of Computational Intelligence Systems

  • Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique

    Authors:  Lalithadevi, B., Krishnaveni, S.

    Journals:  Multimedia Tools and Applications

  • CyberDefender: an integrated intelligent defense framework for digital-twin-based industrial cyber-physical systems

    Authors:  Krishnaveni, S., Chen, T.M., Sathiyanarayanan, M., Amutha, B.

    Journals:  Cluster Computing

Hechang Chen| Artificial Intelligence | Best Researcher Award

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Mr. Hechang Chen – Artificial Intelligence – Best Researcher Award

Education Background

Doctoral Candidate in Computer Software and Theory: Duration: September 2014 – December 2018, Institution: College of Computer Science and Technology, Jilin University. Visiting Doctoral Student: Duration: July 2017 – January 2018, Institution: Health and Medical Informatics Research Center, School of Computer Science, Hong Kong Baptist University. Jointly Cultivated Doctoral Student: Duration: November 2015 – December 2016, Institution: College of Computer Science, University of Illinois at Chicago.

Jilin University, School of Artificial Intelligence | China

Profiles 

Scopus

Orcid

📍Current Position

Hechang Chen is an Associate Professor at the School of Artificial Intelligence, Jilin University (JLU), China. He specializes in cutting-edge artificial intelligence (AI) research and has been affiliated with Jilin University since completing his advanced studies. With a strong foundation in machine learning, data mining, and AI for science, Dr. Chen’s work focuses on innovative solutions and applications in intelligent gaming and embodied AI.

📝Publication Achievements 

Journals Published

Dr. Chen has an impressive publication record, with over 70 articles in prestigious international journals and conferences such as IEEE TPAMI, TKDE, TNNLS, TIST, NeurIPS, ICML, KDD, SIGIR, and AAAI. His notable works include contributions to NeurIPS 2022 and 2023, ICML 2024, and other high-impact forums. His research outputs are recognized for their significant impact in the fields of deep reinforcement learning, machine learning, and data science, contributing valuable insights into AI methodologies.

🔍Ongoing Research 

Currently, Dr. Chen is engaged in multiple research projects, including the International Science and Technology Cooperation Project on “Intelligent Active Monitoring Methods under Complex Migration Patterns” and the Major Project of the National Science and Technology Innovation 2030 Initiative on “Intelligent Theories and Methods for Complex Dynamic Systems.” These projects, funded by substantial grants, explore advanced AI methodologies, intelligent monitoring, and dynamic system analysis, pushing the boundaries of AI technology.

🔬Research Interests 

Dr. Chen’s research interests encompass a wide range of AI domains, including: Machine Learning: Developing novel algorithms and approaches for supervised and unsupervised learning. Data Mining: Extracting meaningful patterns and insights from large datasets. Intelligent Gaming: Innovating in AI applications for game design and player experience enhancement. AI for Science: Applying AI techniques to solve complex scientific problems. Embodied AI: Focusing on AI systems that interact with the physical world.

🎓Academic Background 

Dr. Chen’s academic journey began with a Master’s and Ph.D. in Computer Science and Technology from Jilin University. His doctoral research was under the guidance of Professor Bo Yang. He further enhanced his expertise through international experiences as a joint Ph.D. student at the University of Illinois at Chicago (UIC) and a visiting doctoral student at Hong Kong Baptist University (HKBU), where he worked with esteemed mentors, Professor Philip S. Yu and Professor Jiming Liu.

🏆Scholarships and Awards 

Dr. Chen has received numerous accolades, including the First Prize in the Jilin Provincial Natural Science Award for his work on “Domain-Driven Theory and Methodology for Network Big Data Analysis.” This prestigious recognition highlights his contributions to the advancement of big data and network analysis theories.

🌐Professional Associations 

Dr. Chen is actively involved in various professional associations, collaborating with international scholars and institutions. His work with IEEE and other leading AI and data science conferences showcases his commitment to the global AI research community. He collaborates extensively on international projects, contributing to the cross-pollination of ideas and innovations in AI.

 📚Training & Workshops 

Dr. Chen frequently participates in and conducts workshops and training sessions, sharing his expertise in machine learning and AI. These activities not only advance his knowledge but also contribute to the professional development of students and peers in the AI community.

🎤Oral Presentations 

An engaging speaker, Dr. Chen has delivered numerous oral presentations at top-tier conferences, including NeurIPS, ICML, and AAAI. His presentations cover a range of topics from reinforcement learning to data science, providing insights into his latest research findings and theoretical advancements.

🧑‍🔬Tasks Completed as a Researcher 

As a researcher, Dr. Chen has undertaken various tasks, including leading significant AI projects, developing new machine learning algorithms, and publishing extensively in high-impact journals. His work involves a meticulous blend of theoretical and applied research, ensuring that his contributions are both innovative and practical.

🚀Success Factors 

Dr. Chen’s success is attributed to his strong analytical skills, interdisciplinary approach, and commitment to advancing AI technology. His international education and collaborations have provided him with a broad perspective, enabling him to tackle complex AI challenges with innovative solutions.

🧪Publications & Laboratory Experience

Dr. Chen’s laboratory experience is rich with projects focusing on deep learning, reinforcement learning, and AI applications in various domains. His publications, such as those in IEEE TKDE and TNNLS, are a testament to his expertise and significant contributions to the field. These works

📚Publications:

Tao Chen | artificial intelligence (AI) | Best Researcher Award

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Prof. Tao Chen – artificial intelligence (AI) – Best Researcher Award

fudan university  | China

 Profiles 

📍Current Position

Chen Tao (Ph.D.) is a prominent researcher and doctoral supervisor at Fudan University, serving as the Assistant to the Dean of the School of Information. As a key figure in the field, he holds the titles of National Youth Thousands and Shanghai Thousands.

📝Publication Achievements 

Chen Tao has made significant contributions to his field, with over 130 academic papers published in top international journals and conferences, including IEEE TPAMI, TIP, IJCV, CVPR, and NeurIPS. Among these, he boasts 3 ESI highly cited papers and holds more than 20 Chinese patents and international PCT patents. His research has been instrumental in advancing energy-efficient deep learning, large model compression, multimedia information processing, and compact machine vision.

 

🔍Ongoing Research 

Chen Tao’s ongoing research focuses on energy-efficient deep learning and large model compression. His work is aimed at developing lightweight deep learning models that are both software and hardware efficient. Additionally, he explores multimedia information processing and compact machine vision, with a long-term focus on lightweight deep learning theory and software-hardware collaboration.

🔬Research Interests 

Energy-efficient deep learning. Large model compression. Multimedia information processing. Compact machine vision .Light weight deep learning theory. Software and hardware collaboration

🎓Academic Background 

Ph.D. in Image Information Processing from Nanyang Technological University, Singapore (August 2008 – August 2012).Master’s in Circuits and Systems from Zhejiang University (September 2006 – July 2008).Bachelor’s in Electronic Information Engineering from Shandong University (September 2002 – June 2006).

🏆Scholarships and Awards 

First Prize in the 2023 Fudan University Teacher Teaching Innovation Competition Top Ten Graduate Counselors of Fudan University in 2023. 2023 ICCV International 3D Scene Understanding Challenge Global Champion. Third place in the 2022 ECCV Unmanned Driving Anomaly Challenge. 2021 Fudan University School of Information Dean’s Award.
2021 Global Education Innovation Alliance Outstanding Youth Nomination Award. 2020 Shanghai “Thousand Talents Plan” Innovation Long-term Project Winner. Multiple awards from the Singapore Institute of Information and Communications Technology (I2R).

🌐Professional Associations 

He is actively involved in various professional associations, serving as a director of the Shanghai Image and Graphics Society and a youth member of the China Image and Graphics Society. He is also a member of the Working Committee and Senior Area Chair of the Vision and Learning Symposium.

 📚Training & Workshops 

He has conducted and participated in numerous training sessions and workshops, focusing on advanced topics in deep learning, artificial intelligence, and multimedia processing.

🎤Oral Presentations 

He has delivered several high-impact oral presentations at international conferences and academic events, showcasing his research findings and innovations.

🧑‍🔬Tasks Completed as a Researcher 

Leading national and international research projects. Developing innovative deep learning models. Securing patents and contributing to industry standards. Mentoring doctoral students and junior researchers..

🚀Success Factors 

He attributes his success to his dedication to research, continuous learning, and collaboration with other experts in his field. His ability to secure funding and deliver impactful results has been key to his professional growth.

🧪Publications & Laboratory Experience

His extensive publication record and hands-on laboratory experience highlight his expertise and contributions to the field of artificial intelligence and machine learning. His work has been implemented in enterprise terminal products from major companies like Huawei, ZTE, and Xiaomi.

📚Publications:

Yipeng Xi | AI usage behavior | Best Researcher Award

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Dr. Yipeng Xi – AI usage behavior – Best Researcher Award

Shanghai Jiao Tong University | China

Author Profile 

Early Academic Pursuits 🎓

His academic journey began with a strong foundation in communication studies, culminating in his excellent performance at Southwest University. He earned the “Excellent Undergraduate Thesis” award in 2014-2015 and received the third prize in the National English Competition in 2012-2013. His dedication to his studies continued at Sun Yat-sen University, where he was recognized as an “Excellent Graduate” and awarded a first-prize scholarship from 2015-2017. His outstanding thesis work was also acknowledged with the “Excellent Graduate Thesis” award in 2016-2017.

 Professional Endeavors 💼

Currently an Assistant Professor of Communication at Shanghai Jiao Tong University, he has established himself as a notable figure in media technology and computational social science. He is based in Shanghai and can be contacted at +86-15521193697 or via email at pckxi@sjtu.edu.cn. At Shanghai Jiao Tong University, located at 800 Dongchuan Road, Minhang District, he has been involved in multiple teaching and research activities.

Research Interests and Focus 🔍

His research interests include media technology and computational social science. His work explores the intricate connections between media agenda and public perception, as seen in his 2018 publication in News Circle. Another significant contribution is his 2018 paper in Youth Journalist, where he provided new insights into the third-level agenda-setting theory. His current working papers, such as “Communication placation: How governments respond to satirical voices in China,” reflect his deep engagement with contemporary issues in media and communication.

Contributions and Research Focus on AI usage behavior 📚

He has made significant strides in understanding and analyzing media dynamics and public engagement. His research covers a wide range of topics, including the network connection between media agenda and public agenda, user inertia and technology prestige in AI chatbot transition, and the moral expression of experts in public engagement with COVID-19 vaccine communication on Facebook.

His notable conference presentations include:

  • “The development of satire community under the post-authoritarian culture” (2023)
  • “The historical review of satire making and sharing in China” (2022)
  • “Adaptive agency: The satire genre and the origin of satirical thoughts in contemporary China” (2022)

Accolades and Recognition 🏆

Throughout his career, He has received numerous honors and awards, highlighting his contributions to communication studies. Notable accolades include:

  • Best Student Paper Award of International Communication Association (2021-2022)
  • Fieldwork scholarship and travel grants from the National University of Singapore
  • Best Teaching Assistant Award from the National University of Singapore (2019-2020)
  • Best Paper Award at the 3rd South China Postgraduate Conference of Communication Studies (2015-2016)

Impact and Influence 🌍

His research has had a profound impact on the field of communication, particularly in understanding media agenda-setting and public engagement. His work on the adaptive agency of satire and the origins of satirical thoughts in contemporary China provides valuable insights into how media and public discourse interact in complex sociopolitical environments.

Legacy and Future Contributions 🔮

As an Assistant Professor at Shanghai Jiao Tong University, his continues to influence the next generation of communication scholars through his teaching and mentorship. His courses on information visualization, big data and communication, communication theory, and academic writing equip students with essential skills and knowledge.

His ongoing research projects, funded by the Shanghai Social Science Foundation and the Shanghai Pujiang Talent Plan, focus on critical issues such as the multi-modal image of Shanghai on social media, scientific and technological stigmatization in international competition, and the content generation and value identification of Chinese culture’s external communication.

Notable Publications