Yinfeng Yang | Artificial Intelligence |Young Scientist Award

Published on 04/12/2025 by Young Scientists Awards

Assoc. Prof. Dr. Yinfeng Yang | Artificial Intelligence | Young Scientist Award

Anhui University of Chinese Medicine | China

Assoc. Prof. Dr. Yinfeng Yang is an Associate Professor and emerging research leader at the intersection of artificial intelligence and traditional Chinese medicine, with a strong focus on biomedical big data analytics and AI-driven drug discovery. With a publication record of 45 documents and a citation impact exceeding 5,738 citations from 5,599 citing documents, alongside an h-index of 18, her research demonstrates significant international influence. Her work integrates bioinformatics, machine learning, molecular simulation, and systems biology to uncover key biomarkers, elucidate disease mechanisms, and accelerate the development of innovative therapeutic strategies. She has made notable contributions to multi-omics data mining, virtual screening, quantitative structure–activity relationship modeling, and mechanistic analysis of natural products and traditional prescriptions, particularly in oncology, immunology, cardiovascular disorders, and neurological diseases. Her research advances include AI-powered ADMET prediction, graph neural network–based drug-target discovery, and multiscale modeling of herbal medicine mechanisms. She has authored more than sixty publications, including first- and corresponding-author papers in high-impact journals such as Journal of Advanced Research, Phytomedicine, Drug Discovery Today, International Journal of Surgery, and ACS Omega, contributing influential and highly cited work. In addition to her scientific output, she has edited scholarly works, holds an authorized patent, and has received provincial recognition for scientific achievements. She also serves on editorial boards and contributes extensively as a reviewer for numerous international journals across pharmacology, bioinformatics, natural product research, and integrative medicine. Her expertise spans molecular dynamics, docking, high-throughput virtual screening, AI algorithms, multi-omics integration, and experimental pharmacology, positioning her at the forefront of intelligent medicine and translational research in traditional Chinese medicine.

Profile: Scopus

Featured Publications

Fan, N. N., Chen, J., Wang, J. H., Chen, Z. S., & Yang, Y. F. (2025). Bridging data and drug development: Machine learning approaches for next-generation ADMET prediction. Drug Discovery Today, Article 104487.
Han, Z. J., Liu, Q. W., Yang, J. H., Wang, X. Y., Song, W. C., Wang, J. H., & Yang, Y. F. (2025). Exploration of the mechanism of Ginkgo biloba leaves targeted angiogenesis against gastric cancer. ACS Omega, 10, 40460–40476.
Yang, P. Z., Wang, X. Y., Yang, J. H., Yan, B. B., Sheng, H. Y., Li, Y., Yang, Y. F., & Wang, J. H. (2025). AI-driven multiscale study on the mechanism of Polygonati Rhizoma in regulating immune function in STAD. ACS Omega, 10(19), 19770–19796.
Li, H., Fu, S. F., Shen, P., Zhang, X., Yang, Y. F., & Guo, J. C. (2025). Mitochondrial pathways in rheumatoid arthritis: Therapeutic roles of traditional Chinese medicine and natural products. Phytomedicine, Article 157106.
Zhang, H. R., Xu, Q., Kan, H. X., Yang, Y. F., & Cai, Y. Q. (2025). Exploration of the clinicopathological and prognostic significance of BRCA1 in gastric cancer. Discover Oncology, 16(1), 381.

Pawan Kumar Patidar | Machine Learning | Young Scientist Award

Published on 06/09/2025 by Young Scientists Awards

Mr. Pawan Kumar Patidar | Machine Learning | Young Scientist Award

Swami Keshvanand Institute of Technology, Management and Gramothan | India

Pawan Kumar Patidar is an academician and researcher in computer science and engineering with a strong dedication to teaching, research, and innovation. Over the years, he has contributed significantly to higher education through his work as an assistant professor in reputed institutions. His career reflects a balance of teaching core computer science subjects, mentoring students in technical projects, and participating in conferences, workshops, and faculty development programs. His scholarly pursuits include research in machine learning, artificial intelligence, cloud computing, and image processing, which have resulted in publications, patents, and book chapters with global recognition. Beyond academics, he has played vital roles in training and placement cells, organizing technical events, and fostering student engagement in innovation-driven activities. With a vision to contribute to the advancement of technology and education, he continues to explore new horizons in research while inspiring students to pursue excellence in both academics and professional life.

Profile

Google Scholar

Education

Pawan Kumar Patidar has built a solid academic foundation in computer science and engineering, progressing from undergraduate to doctoral studies. He earned his Bachelor of Engineering in Computer Science from Government Engineering College, Bikaner, where he developed core technical expertise. Later, he pursued a Master of Technology in Computer Engineering at Poornima College of Engineering, Jaipur, where his dissertation focused on image processing techniques, enhancing his interest in research. To strengthen his academic career further, he enrolled in a doctoral program in Computer Engineering at Poornima University, Jaipur. His Ph.D. research emphasizes advanced machine learning, data analysis, and emerging computational technologies. Alongside his formal education, he has completed multiple practical training programs in software development, programming, and cloud computing, as well as certifications from platforms such as NPTEL and Microsoft. His consistent academic growth highlights his commitment to lifelong learning and pursuit of excellence in technical education and applied research.

Experience

Pawan Kumar Patidar has extensive academic experience, having served as a faculty member in leading engineering institutes for more than a decade. He began his teaching career as a lecturer at Apex Institute of Engineering and Technology, where he introduced students to fundamental computer science concepts. He later advanced to assistant professor positions at VIT Jaipur, Poornima College of Engineering, and Poornima Institute of Engineering and Technology, where he taught a wide range of subjects, including object-oriented programming, theory of computation, database management, and cloud computing. At present, he is associated with Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, where he teaches undergraduate courses and guides students in projects and research activities. Alongside teaching, he has coordinated internships, technical workshops, national and international conferences, and innovation-driven hackathons. His experience demonstrates a commitment to both academic delivery and institutional development, fostering excellence in education, research, and student mentoring.

Awards and Honors

Pawan Kumar Patidar has been recognized with multiple awards and honors for his academic and research contributions. He received prestigious titles such as the Young Research Award and Young Scientist Award, which acknowledge his impactful work in the field of computer engineering. His excellence as a faculty member has been celebrated through several institutional awards, including Best Faculty in Academics, Best Faculty in Research and Development, and Best Results Award, reflecting his dedication to student success and research outcomes. He has also achieved recognition through national certifications such as Microsoft Azure Data Fundamentals and Oracle Academy training. In addition, he has successfully completed multiple NPTEL-AICTE courses, earning commendable scores and certifications in cloud computing, database systems, and internet of things. His patents in machine learning applications and innovative system design further highlight his inventive spirit. Collectively, these achievements underscore his dedication to advancing research, academics, and professional skill development.

Research Focus

The research focus of Pawan Kumar Patidar spans multiple domains in computer science and engineering, particularly emphasizing artificial intelligence, machine learning, and cloud computing. His work demonstrates a strong interest in applying computational techniques to address real-world challenges in healthcare, image processing, and system automation. He has contributed to the development of algorithms for disease prediction, stress detection, and smart automation, resulting in both publications and patents. His research also explores optimization algorithms, neural networks, and advanced filters for image denoising, reflecting his depth of expertise in applied machine learning. He has authored and co-authored numerous journal articles, conference papers, and book chapters, collaborating with academic peers in interdisciplinary studies. By integrating AI with emerging technologies such as IoT and cloud platforms, his research aims to bridge gaps between theory and practice. His scholarly contributions are directed toward creating innovative, scalable, and efficient solutions with societal and technological impact.

Publications

Title: Image de-noising by various filters for different noise
Publication Year: 2010
Citations: 375
Title: A fuzzy logic-based control system for detection and mitigation of blackhole attack in vehicular Ad Hoc network
Publication Year: 2019
Citations: 19
Title: Image Filtering using Linear and Non Linear Filter for Gaussian Noise
Publication Year: 2014
Citations: 13
Title: An Analysis of Internet-of-Things-Based Fire Detection and Alert Systems
Publication Year: 2024
Citations: 11
Title: A novel scheme for prevention and detection of black hole & gray hole attack in VANET network
Publication Year: 2021
Citations: 8

Conclusion

Pawan Kumar Patidar is a dedicated academician and researcher whose body of work demonstrates innovation, societal relevance, and a strong foundation for future contributions. His patents, publications, and prior awards make him a competitive candidate for the Young Scientist Award. With further emphasis on high-impact research publications, international collaborations, and broader interdisciplinary focus, he has the potential to emerge as a leading researcher in computer science and applied machine learning.

Manasvi Aggarwal | Artificial Intelligence | Young Scientist Award

Published on 25/02/202526/02/2025 by Young Scientists Awards

Ms. Manasvi Aggarwal | Artificial Intelligence | Young Scientist Award

Senior Data Scientist, Mastercard

Name: Manasvi Aggarwal Gender: Female Designation: Senior Data Scientist Department: AI Garage Organization: Mastercard Specialization: Artificial IntelligenceExpertise: Graph Neural Networks (GNNs), Spatio-Temporal Forecasting, Neural Algorithmic Reasoning Industry Experience: Microsoft, Myntra, Mastercard Notable Work: Developed MRP-GNN, identifying $17M in fraud and increasing fraud detection rates by 20% Research Collaborations: Oxford, Cambridge (INAR project) Publications: ICPR, IEEE BigData, ICML workshops, RecSys, Springer book Awards: Business Excellence Award (Mastercard), Google-sponsored EEML travel grant Professional Contributions: ICLR, IEEE BigData, and NeurIPS program committee member Vision: Advancing scalable AI solutions for real-world impact

profile:

Scholar

🎓 Education

B.Tech: Computer Science, University of Delhi (Ranked 4th in cohort) Competitive Exams: GATE (99.47 percentile), JEST (All India Rank 35) M.Tech (Research): Computer Science, IISc Bengaluru Thesis: “Embedding Networks: Node and Edge Representations” (Graph-based learning, NLP, Computer Vision) PhD Offers: Fully funded PhD admissions from Canada and the USA (deferred due to financial reasons) Key Research Areas: Graph Neural Networks, Spatio-Temporal Forecasting, Neural Algorithmic Reasoning Notable Academic Achievements: IISc Research Contributions in GNNs and self-supervised learning

💼 Experience

Microsoft: Developed multi-label categorization for Azure offers using BERT embeddings and web scraping Myntra: Worked on pricing automation, demand forecasting, and user cohort modeling with graph-based approaches Mastercard: Leading AI-driven fraud detection initiatives, including MRP-GNN (detected $17M fraud, 20% improved detection rates) Industry Collaborations: Worked with teams in Israel, USA, and India on AI-driven solutions Mentorship: Guides junior AI researchers, participates in hiring interviews

🏆 Awards & Honors

Business Excellence Award – Mastercard Priceless Mentoring and Guidance Award – Mastercard Google-sponsored travel grant – EEML 2024 1st Runner-up – Myntra HackerRamp Hackathon Invited Program Committee Member – ICLR, IEEE BigData, NeurIPS

🔬 Research Focus

Key Areas: Graph Neural Networks (GNNs), Spatio-Temporal Forecasting, Neural Algorithmic Reasoning Mastercard Research: Developed MRP-GNN, detecting high-risk merchants and preventing financial fraud AI for Security: Fraud detection, risk prediction, secure transactions Spatio-Temporal AI: Developed GNN for terror activity forecasting in Jammu & Kashmir Academic Collaborations: Works with Oxford & Cambridge on INAR, optimizing CLRS-30 benchmarks Publications: Published in ICPR, IEEE BigData, ICML workshops, RecSys Community Contributions: Co-organized Southeast Asian Learning on Graphs (LoG) 2024 Meetup

✅ Conclusion

Manasvi Aggarwal is a highly competitive candidate for the Best Researcher Award, with a strong blend of academic excellence, industry impact, publications, and global collaborations. If she strengthens her patent portfolio, citation metrics, and leadership in independent research projects, she would be an even stronger contender for distinguished research awards.

publication

Deep Learning – M. Aggarwal, M.N. Murty (2021) – 21 citations

Machine Learning in Social Networks: Embedding Nodes, Edges, Communities, and Graphs – M. Aggarwal, M.N. Murty (2021) – 18 citations

Self-supervised Hierarchical Graph Neural Network for Graph Representation – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2020) – 4 citations

Robust Hierarchical Graph Classification with Subgraph Attention – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2020) – 4 citations

Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2020) – 3 citations

A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2021) – 2 citations

Region and Relations Based Multi Attention Network for Graph Classification – M. Aggarwal, M.N. Murty (2021) – 2 citations

Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users – A. Budhiraja, M. Sukhwani, M. Aggarwal, S. Shevade, G. Sathyanarayana (2022) – 1 citation

Node Representations – M. Aggarwal, M.N. Murty (2021) – 1 citation

Hierarchically Attentive Graph Pooling with Subgraph Attention – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2020) – 1 citation

Embedding Graphs – M. Aggarwal, M.N. Murty (2021)

Representations of Networks – M. Aggarwal, M.N. Murty (2021)

Embedding Networks: Node and Graph Level Representations – M. Aggarwal

Dharini N | Computer Science | Young Scientist Award

Published on 18/01/202518/01/2025 by Young Scientists Awards

Dr. Dharini N | Computer Science | Young Scientist Award

Associate Professor at R.M.K College of Engineering and Technology, India

Dr. Dharini N is an accomplished academic and researcher in the field of Computer Science Engineering with a specialization in Cyber Security. She is an Associate Professor at R.M.K. College of Engineering and Technology and a recognized research supervisor at Anna University. With a Ph.D. in Wireless Sensor Networks (WSN) from Anna University, she has made significant contributions to trust establishment under multiple attacks in WSN. Dr. Dharini has an impressive academic record, earning a Gold Medal during her M.E. at Velammal Engineering College and consistently achieving top ranks throughout her studies. Her research work includes over 10 SCI and Scopus-indexed publications, focusing on topics like intrusion detection, IoT security, and machine learning. She has actively contributed to academic growth through roles like coordinator for NAAC and NBA accreditations and has organized DST-SERB-sponsored seminars. Her dedication to education, research, and cybersecurity innovation marks her as an inspiring young scientist.

Professional Profile

Education

Dr. Dharini N has an exemplary academic background in Computer Science and Engineering. She earned her Ph.D. from Anna University, specializing in Wireless Sensor Networks, with a focus on trust establishment under multiple attacks. Her commitment to excellence was evident during her M.E. in Computer Science and Engineering at Velammal Engineering College, where she graduated with a Gold Medal and ranked among the top achievers. Dr. Dharini also holds a B.E. degree in Computer Science and Engineering from Velammal Engineering College, where she consistently demonstrated academic distinction. Her educational journey reflects a strong foundation in computer science principles, coupled with advanced expertise in cybersecurity and wireless communication. This robust academic preparation has fueled her impactful research contributions in intrusion detection, IoT security, and machine learning, establishing her as a leading figure in her field.

Professional Experience

Dr. Dharini N brings a wealth of professional experience in academia and research. She currently serves as an Associate Professor in the Department of Computer Science and Engineering at Velammal Engineering College, where she has been a dedicated faculty member since 2010. Over the years, she has excelled in teaching, research, and mentoring, fostering the academic growth of students and guiding them in cutting-edge research projects. Her expertise lies in Wireless Sensor Networks, IoT security, and Machine Learning, areas where she has made significant contributions through publications in high-impact journals and conferences. Dr. Dharini is actively involved in curriculum development and has played a key role in enhancing the quality of education within her institution. She collaborates extensively with industry and academic peers, bridging the gap between theoretical knowledge and practical applications, making her an influential educator and researcher in the field of computer science.

Research Interest

Dr. Dharini N’s research interests are deeply rooted in advancing technology and addressing contemporary challenges in the field of computer science. Her primary focus lies in Wireless Sensor Networks, where she explores innovative solutions to optimize energy efficiency, scalability, and reliability in communication systems. She is equally passionate about IoT security, working on robust frameworks to safeguard data integrity and privacy in the ever-expanding Internet of Things ecosystem. Additionally, Dr. Dharini has a keen interest in Machine Learning, leveraging data-driven models to solve complex problems in diverse domains. Her research integrates theoretical rigor with practical applications, addressing real-world issues and contributing to technological advancements. By collaborating with academia and industry, she ensures her work remains relevant and impactful. Dr. Dharini’s commitment to pushing boundaries in these areas has resulted in numerous publications, underlining her contribution to cutting-edge research and innovation in computer science.

Award and Honor

Dr. Dharini N has been recognized with numerous awards and honors that highlight her exceptional contributions to academia and research. Her innovative work in computer science has earned her accolades from prestigious institutions, showcasing her dedication and expertise. She has received awards for excellence in research, acknowledging her significant advancements in Wireless Sensor Networks, IoT security, and Machine Learning. Dr. Dharini’s commitment to fostering knowledge and innovation has also been celebrated through teaching awards and commendations for mentoring students in their academic pursuits. Her papers, presented at renowned international conferences and published in leading journals, have garnered widespread acclaim, further solidifying her reputation as a thought leader in her field. These honors not only reflect her scholarly impact but also inspire her to continue pursuing excellence, contributing to cutting-edge research, and advancing the frontiers of technology.