silvana alfei | Drug development | Best Researcher Award

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Prof. Dr. silvana alfei – Drug development – Best Researcher Award

Alignment with Award Category

Professor Alfei’s groundbreaking contributions to organic chemistry, nanomedicine, and biomaterials make her a strong candidate for the Best Researcher Award. Her work aligns well with categories such as Excellence in Innovation, given her pioneering research in biodegradable dendrimers, cationic macromolecules, and amphiphilic nano-vesicles. Her editorial and peer-review contributions further highlight her leadership in the scientific community.

Dipartimento di Farmacia, Università di Genova | Italy

Profile

Orcid

Scopus

🎓Early Academic Pursuits 

Education and Training

Silvana Alfei’s academic journey has been marked by excellence in organic chemistry. She is a Professore e Ricercatore in the Settore Scientifico Disciplinare CHEM-05/A – CHIMICA ORGANICA at the Università di Genova. Her expertise in organic chemistry has been shaped through years of rigorous study, research, and teaching. She has obtained national academic qualification (Abilitazione Scientifica Nazionale, ASN) as a second-rank professor with the credentials required for a first-rank professorship. Her foundational academic training laid the groundwork for her career in organic synthesis, macromolecular chemistry, and nanomedicine. Over the years, she has contributed significantly to both theoretical and applied research, making a lasting impact on her field.

💼Professional Endeavors 

Academic Positions

Since 2006, Silvana Alfei has been a faculty member at the Dipartimento di Farmacia, Università di Genova, where she has been the primary instructor for the Organic Chemistry I course in the Pharmaceutical Chemistry and Technology (CTF) program. Between 2019 and 2021, she also taught Organic Chemistry in the Pharmacy program, further demonstrating her dedication to education and mentorship. Beyond her role as a professor, she is actively involved in academic committees and has served as a commissioner for various evaluations within the university. She has also played a vital role in supervising undergraduate and graduate students, fostering the next generation of researchers in organic chemistry and pharmaceutical sciences.

📚Contributions and Research Focus on Drug development

Silvana Alfei’s research is focused on cutting-edge advancements in organic chemistry, nanomedicine, and polymer sciences. Her primary research areas include: Synthesis of biodegradable neutral dendrimers containing biologically active molecules for applications in nanomedicine. Development of cationic molecules and macromolecules with intrinsic antibacterial and/or antitumor activity, which can also be utilized for drug encapsulation and solubilization. Crosslinked cationic polymers capable of forming hydrogels for biological and environmental applications. Synthesis of amphiphilic nano-vesicles based on triphenylphosphonium, which exhibit both antibacterial and antitumor properties.

🏆Accolades and Recognition 

Silvana Alfei’s research excellence is reflected in her impressive publication record and scientific impact: H-index of 25 (Scopus), demonstrating her influence in the field. 1,998 citations from 1,276 documents, highlighting the relevance of her research. Author of 111 indexed research articles in high-impact journals, collaborating with scientists both in Italy and internationally. One abstract published in Planta Medica, a journal dedicated to medicinal plant research. One book chapter and one translated volume, contributing to the academic dissemination of scientific knowledge. Multiple oral presentations, including three invited speaker presentations at prestigious conferences.

Additionally, she has held editorial roles in leading scientific journals:

  • Guest Editor for special issues of high-impact indexed journals.
  • Editorial Board Member for International Journal of Molecular Sciences (IJMS) and Nanomaterials (MDPI).
  • Active Reviewer with approximately 216 reviews completed, ensuring the quality and rigor of scientific publications.
  • Academic Editor for numerous articles, contributing to the peer-review process in her field.

🌍 Impact and Influence 

Community Impact

Looking ahead, Silvana Alfei’s research will likely continue to shape advancements in nanotechnology, medicinal chemistry, and polymer sciences. Her future contributions may focus on: Developing more efficient drug delivery systems using biodegradable and biocompatible materials. Enhancing antimicrobial strategies through novel cationic macromolecules and nano-vesicles. Expanding collaborations with international research institutions and industry leaders to translate research findings into practical medical applications.

🔮Legacy and Future Contributions 

With a strong academic background, extensive research contributions, and significant teaching experience, Dr. Ali is poised to leave a lasting impact on the field of supply chain management. His ongoing Ph.D. research is expected to yield further insights into digital supply chains and AI integration, potentially influencing industry practices and policy-making. Looking ahead, he aims to expand his research collaborations, contribute to international conferences, and mentor aspiring researchers in the field.

 

Conclusion

Silvana Alfei stands out as a leading researcher and professor in the field of organic chemistry, making significant contributions to nanomedicine, polymer chemistry, and pharmaceutical sciences. With a strong academic background, an impressive research portfolio, and a dedication to mentorship and peer review, she continues to influence the scientific community and contribute to groundbreaking discoveries.

📚Publications

Last Fifteen Years of Nanotechnology Application with Our Contribute

Authors: Silvana Alfei; Guendalina Zuccari

Journals: Nanomaterials

Ellagic Acid: A Green Multi-Target Weapon That Reduces Oxidative Stress and Inflammation to Prevent and Improve the Condition of Alzheimer’s Disease

Authors: Silvana Alfei; Guendalina Zuccari

Journals: International Journal of Molecular Sciences

Strongly ROS-Correlated, Time-Dependent, and Selective Antiproliferative Effects of Synthesized Nano Vesicles on BRAF Mutant Melanoma Cells and Their Hyaluronic Acid-Based Hydrogel Formulation

Authors: Silvana Alfei; Guendalina Zuccari; Constantinos M. Athanassopoulos; Cinzia Domenicotti; Barbara Marengo

Journals: International Journal of Molecular Sciences

Qiang He | biomedical engineering | Best Researcher Award

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Prof. Qiang He  –  biomedical engineering  –  Best Researcher Award

Northeastern University | China

      Profil

Scopus

Scholar

📍Current Position

Professor Qiang He is currently serving as an Associate Professor at the College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. With a robust background in computer application technology and a multidisciplinary approach, he is a key contributor to cutting-edge research initiatives in machine learning, data mining, and healthcare informatics.

 

📝Publication Achievements

Professor He has an impressive portfolio of over 90 publications in top-tier international journals and conferences, including: IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, NeurIPS
His publications include 23 CCF A-tier papers and 4 highly cited/hot papers, achieving a highest single-paper impact factor of 10.4 and 864 total citations in SCI-indexed journals.

 

🔍Ongoing Research

Professor He is actively involved in several funded projects: Joint Key Project of the National Natural Foundation of China (2022) – 890,000 yuan Key R&D Projects of the Ministry of Science and Technology (2021) – 800,000 and 540,000 yuan respectively, Youth Project of the National Natural Science Foundation of China (2022) – 300,000 yuan ,Liaoning Provincial Joint Fund (2023) – 80,000 yuan

 

🔬 Research Interests

His research focuses on:🌐 Machine Learning and Social Network Analytics 🏥 Healthcare Informatics and Infectious Disease Informatics 📈 Advanced Data Mining Techniques

 

🎓Academic Background

Qiang He earned his Ph.D. in Computer Application Technology from Northeastern University in 2020. During his academic journey, he was also a visiting Ph.D. researcher at the prestigious Nanyang Technological University, Singapore (2018–2019), where he gained significant exposure to international research standards.

 

🏆Scholarships and Awards

Professor He has secured numerous awards and funding opportunities, such as the Top-Level Postdoctoral Fund (2021) and the Liaoning Provincial Doctoral Initiation Project (2021). His cumulative research funding demonstrates his ability to lead significant research endeavors.

 

🧬Bioinformatics 

Leveraging machine learning, Professor He applies bioinformatics to analyze healthcare datasets, providing valuable insights into infectious diseases and improving predictive models for patient care.

 

🌐Professional Associations 

A distinguished member of several professional organizations: Editorial board member of PLOS ONE and Machine Learning Research, Vice-Chairman of CCF Yocsef Shenyang ,Executive member of CCF Internet Specialised Committee

 

 📚Training & Workshops 

Professor He has both organized and participated in numerous international workshops and conferences, sharing his insights on AI-driven healthcare solutions and data-centric methodologies.

 

🎤Oral Presentations and🗣️Thought Leadership 

His presentations, spanning across topics like healthcare data analytics and network systems, have been well-received at major conferences, reflecting his ability to effectively communicate complex ideas.

 

🧑‍🔬Tasks Completed as a Researcher 

Professor He has excelled in: ,Leading multidisciplinary research teams, Securing large-scale funding for research projects ,Publishing high-impact studies in collaboration with global experts

 

🚀Success Factors 

Key factors contributing to his success: Interdisciplinary Approach: Bridging technology with healthcare. Global Exposure: Research experience in Singapore and collaborations with international scholars. Commitment to Excellence: Maintaining high standards in all professional endeavors.

 

🧪Publications & Laboratory Experience

Publications: His research contributions include groundbreaking studies indexed in SCI and Scopus, with a focus on both theory and application.
Laboratory Work: Professor He leads innovative experiments in data-driven healthcare solutions, combining AI technologies with practical implementations.

 

🔍 Conclusion

 Professor Qiang He’s contributions to machine learning, healthcare informatics, and social network analytics exemplify his role as a pioneering researcher. With his vast publication record, leadership in prestigious projects, and dedication to interdisciplinary studies, he stands as a model of excellence in academia. Recognition through the Best Researcher Award would be a fitting acknowledgment of his outstanding achievements.

📚Publications

  • Service recommendation in JointCloud environments: An efficient regret theory-based Qos-aware approach

               Authors: Shi, J., Rao, R., Song, Y., … Huang, M., Das, S.K.

                Journal:  Computer Networks, 

    • Hybrid Genetic Algorithm and CMA-ES Optimization for RNN-Based Chemical Compound Classification

        Authors: Guo, Z., Hou, D., He, Q.

        Journal:  Mathematics, 

    • Knowledge-Defined Edge Computing Networks Assisted Long-Term Optimization of Computation Offloading and Resource Allocation Strategy

        Authors: Yang, K., Wang, X., He, Q., … Liu, Y., Tarchi, D.

        Journal:  IEEE Transactions on Wireless Communications, 

    • Single-Domain Generalized Predictor for Neural Architecture Search System

        Authors: Ma, L., Kang, H., Yu, G., Li, Q., He, Q.

        Journal:  IEEE Transactions on Computers, 

    • Multi-Feature Rumor Suppression Mechanism Based on Community Division in Social Networks

        Authors: Gao, F., Wang, X., He, Q.

        Journal:  IEEE Transactions on Network Science and Engineering, 

     

Irfan Sadiq Rahat | Health Care | Young Scientist Award

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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, 

   

Baodong Li | cerebrovascular disease | Best Researcher Award

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Dr. Baodong Li – cerebrovascular disease  – Best Researcher Award

Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Hebei Province | China

Author Profile 

Early Academic Pursuits 🎓

Education and Training

His academic journey began at the Department of Neurology, The Heilongjiang University of Chinese Medicine, where he earned his Master of Medicine in 2004. His early research focused on the molecular and pathological mechanisms in the acute phase of ischemic stroke, laying the foundation for his future contributions to the field. His dedication to understanding the complexities of stroke and brain repair mechanisms has been a driving force throughout his career.

 Professional Endeavors 💼

Academic Positions

In 2020, he was appointed Chief Physician of the Neurology Department at Cangzhou Integrated Traditional Chinese and Western Medicine Hospital. In this role, he has been at the forefront of integrating traditional Chinese and Western medical practices to enhance patient outcomes. In 2023, he furthered his impact by becoming the Director of the Hebei Province Key Laboratory of Integrated Traditional Chinese and Western Medicine Neurorehabilitation. This position has allowed him to spearhead innovative research programs aimed at improving neurorehabilitation techniques and outcomes.

Contributions and Research Focus on cerebrovascular disease📚

Research and Innovations
Baodong Li is renowned for his expertise in translational medicine, particularly in the area of ischemic stroke. His primary research focuses on the molecular and pathological mechanisms during the acute phase of ischemic stroke and the processes involved in brain repair during the chronic phase. One of his notable innovations is the development of a modified histochemical staining technique, known as GIAO staining. This technique effectively distinguishes arterial and venous segments of brain microvessels, providing valuable insights into microvascular bed alterations in various brain disorders.

Accolades and Recognition 🏆

His work has garnered significant recognition within the scientific community. He has published numerous influential papers in high-impact journals, such as “Adverse effects produced by different drugs used in the treatment of Parkinson’s disease: A mixed treatment comparison” in CNS Neuroscience & Therapeutics and “Comparison of the Efficacy of Different Drugs on Non-Motor Symptoms of Parkinson’s Disease: a Network Meta-Analysis” in Cellular Physiology and Biochemistry. His contributions have earned him a strong citation index, reflecting his influence and impact on the field.

 Impact and Influence 🌍

Community Impact

His research has not only advanced scientific knowledge but also had a profound impact on clinical practices. His work on the molecular mechanisms of stroke has led to improved diagnostic and therapeutic strategies, benefiting countless patients. Additionally, his role in integrating traditional Chinese and Western medicine has opened new avenues for holistic and effective treatment approaches.

 Legacy and Future Contributions 🔮

Future Contributions

Looking ahead, he continues to drive forward the field of cerebrovascular research. His ongoing projects, including the study of traditional Chinese medicine prescriptions on ischemia-reperfusion injury, hold promise for further advancements in stroke treatment. His leadership at the Hebei Province Key Laboratory ensures that future generations of researchers will continue to build on his pioneering work.

Notable Publications