Jinyang Guo | Artificial Intelligence | Best Researcher Award

Published on by Best Achievements

Assist. Prof. Dr. Jinyang Guo | Artificial Intelligence | Best Researcher Award

Assist. Prof. Dr. Jinyang Guo, Beihang University, China.

Dr. Jinyang Guo is an Assistant Professor at Beihang University, China, specializing in efficient AI computing 🖥️. A recipient of China’s prestigious National Youth Talent Program 🇨🇳, he has published 40+ papers in top-tier venues like ICML and CVPR 📚. . His research excellence is complemented by patents, IEEE awards 🏅, and active roles in global AI conferences 🌐.

Profile

Scopus Profile

Google Scholar Profile

🎓 Early Academic Pursuits

Dr. Jinyang Guo began his academic journey in Australia, earning a Bachelor of Engineering (Honors) in Electrical Engineering from The University of New South Wales with First Class Honours and placement on the Dean’s Award List (top 5%) from 2014 to 2017. He pursued a Ph.D. in Electrical and Information Engineering at The University of Sydney, focusing on efficient and scalable machine learning, where he was supported by prestigious scholarships including the USydIS and ARC-backed fellowships.

💼 Professional Endeavors

Currently serving as an Assistant Professor at the School of Artificial Intelligence, Beihang University, China, Dr. Guo specializes in efficient AI computing. He has emerged as a lead researcher in several national and industrial projects, overseeing more than 10 competitive grants and spearheading initiatives in AI deployment for UAVs, model compression, and human-machine hybrid systems. He also plays active roles in international academic circles through workshops, guest editorships, and conference organizations.

🔬 Contributions and Research Focus On Artificial Intelligence

Dr. Guo’s research focuses on model compression, AI efficiency, sparsity, and scalable learning, addressing real-world challenges in deploying AI on edge and embedded systems. His pioneering work includes multidimensional pruning frameworks, 3D action recognition, and language model compression, bridging fundamental AI theory with impactful applications. His contributions also span human-machine alignment, video diffusion, and efficient large language models.

🌍 Impact and Influence

With over 40 high-impact publications in IEEE Transactions and elite venues such as ICML, CVPR, AAAI, and NeurIPS, Dr. Guo has gained global recognition in AI and machine learning. His research has influenced both academic and industrial practices, contributing significantly to robust model design and resource-constrained AI deployment. His awards include the ICCV Doctoral Consortium Award and 2nd Place in the IEEE Autonomous UAV Challenge 2023, affirming his standing as a rising leader in the field.

🧠 Research Skills

Dr. Guo possesses robust skills in model pruning, quantization, and neural network optimization. He is adept at developing scalable solutions for real-world AI applications, such as UAVs and embedded systems. His expertise also spans human-machine alignment, point cloud processing, and transformer-based 3D object detection.

🏅 Awards and Honors

He is a recipient of the ICCV Doctoral Consortium Award, 2nd Place in the 2023 IEEE Autonomous UAV Chase Challenge, and multiple prestigious scholarships, including the University of Sydney International Scholarship, Postgraduate Research Supplementary Scholarship, and Engineering and IT Research Scholarship, amounting to over $147,000 USD in academic suppo

Reeta R | Artificial Intelligence | Best Researcher Award

Published on by Best Achievements

Mrs. Reeta R | Artificial Intelligence | Best Researcher Award

Mrs. Reeta R, Panimalar Engineering college, India.

🏆 Reeta R. is a dedicated 🔍 researcher in Machine Learning, Neural Networks, and Deep Learning, currently pursuing her Ph.D. at Panimalar Engineering College. With 7+ years of teaching experience, she has received the 🏅 Best Faculty Award in Computer Science and Engineering. She has published 15+ research papers in 📖 IEEE and Scopus-indexed journals. Her research extends to IoT, Data Mining, and Software Testing, with notable contributions like ZeroEVNet. Featured in the 📰 Times of India, her work is shaping AI innovations.

Professional Profile

🎓 Early Academic Pursuits

Mrs. Reeta R. embarked on her academic journey with a Bachelor’s degree in Computer Science and Engineering from C.S.I College of Engineering, Anna University in 2004. Her passion for advancing her knowledge led her to pursue a Master’s degree in Software Engineering from Easwari Engineering College, Anna University in 2012. Her strong academic foundation has significantly contributed to her expertise in Artificial Intelligence, Machine Learning, and Software Engineering.

💼 Professional Endeavors

Mrs. Reeta R. has an extensive 7+ years of teaching experience in the Department of Computer Science and Engineering at Rajalakshmi Engineering College. She has played a pivotal role in shaping the minds of future engineers through her dedicated teaching and mentorship. Currently, she is a Research Scholar at Panimalar Engineering College, focusing on innovative applications of Machine Learning, IoT, Data Mining, and Software Testing.

🔬 Contributions and Research Focus On Artificial Intelligence

Mrs. Reeta R. has made significant contributions to the research community, particularly in the fields of Neural Networks and Deep Learning. She has published 15 research papers in reputed International and National journals, including prestigious IEEE and Scopus-indexed journals. Her research interests extend to the development of smart systems, including applications in Emergency Vehicle Detection, AI-driven decision-making, and real-time data analysis.

🌍 Impact and Influence

Her research work has gained recognition in both academic and public domains. One of her key contributions, a paper on a Smart System for Ambulance Optimization, was featured in the Times of India. This highlights her commitment to solving real-world problems through her innovative research and development.

📚 Academic Citations

Mrs. Reeta R.’s research has been acknowledged by the global academic community, as reflected in her Google Scholar Profile: Google Scholar Citations. Her publications are widely cited, showcasing the impact of her work in the field of Computer Science and Artificial Intelligence.

🏅 Awards and Honors 

Recognizing her excellence in academia and research, Mrs. Reeta R. received the Best Faculty Award in Computer Science and Engineering. Her dedication to innovation and quality education has established her as a respected figure in the academic community.

🚀 Legacy and Future Contributions

With a strong academic background and a commitment to research, Mrs. Reeta R. aims to continue her contributions to the field of Artificial Intelligence and Machine Learning. Her future research will focus on advancing deep learning models for smart city applications, improving AI-driven security systems, and enhancing IoT-integrated solutions.

Publications Top Notes

 📖 Predicting Autism Using Naïve Bayesian Classification Approach
📖 An Approach to Assure QoS for Dynamically Reconfigurable Component-Based Software Systems
📖 ZeroEVNet: A multimodal zero-shot learning framework for scalable emergency vehicle detection

 

Israt Jahan Payel | Artificial Intelligence | Best Researcher Award

Published on by Best Achievements

Ms. Israt Jahan Payel |  Artificial Intelligence | Best Researcher Award

Ms. Israt Jahan Payel , Daffodil International University, Bangladesh.

Ms. Israt Jahan Payel is a dedicated researcher specializing in Artificial Intelligence, machine learning, and healthcare applications. She has developed groundbreaking solutions such as the “Grape Guard” mobile app for grape leaf disease detection, achieving remarkable precision and accuracy. Her innovative work includes a novel Graph Neural Network approach for breast cancer diagnosis and the integration of federated learning with explainable AI for privacy-preserving healthcare. With multiple publications in high-impact journals, including the Journal of Cancer Research and Clinical Oncology, and significant contributions to medical image classification, Payel exemplifies excellence in advancing AI-driven healthcare innovations

Professional Profile:

Google Scholar

Suitability for Best Researcher Award 

Ms. Israt Jahan Payel is a highly accomplished researcher specializing in Artificial Intelligence, machine learning, and healthcare applications. With a proven track record in groundbreaking research, she has developed innovative solutions such as the YOLOv8-based mobile app “Grape Guard” for grape leaf disease detection, achieving remarkable precision and recall rates. Her work has been published in high-impact journals like the Journal of Cancer Research and Clinical Oncology, and she has proposed novel approaches for breast cancer diagnosis using Graph Neural Networks and federated learning for privacy-preserving healthcare.

Israt’s extensive experience as a Research Associate at both the Health Information Research Lab (HIRL) and 4IR Research Cell at Daffodil International University demonstrates her commitment to advancing research in healthcare and AI. Her research and publication list highlight her deep expertise and innovative approach, making her an exceptional candidate for the Best Researcher Award.

🎓 Education Background:

Ms. Israt Jahan Payel has an exemplary academic background in Computer Science and Engineering. She is currently pursuing her Master’s degree at Daffodil International University (DIU), Dhaka, Bangladesh, with a stellar CGPA of 4.00. She completed her Bachelor’s degree in the same discipline from DIU in 2023, achieving an impressive CGPA of 3.87. Payel also excelled in her earlier education, securing a CGPA of 4.42 in her Higher Secondary Certificate (HSC) from Savar Model College, Dhaka, and a perfect CGPA of 5.00 in her Secondary School Certificate (SSC) from ACED School, Dhaka. Her academic journey reflects dedication and excellence.

💼 Professional Experience:

Ms. Israt Jahan Payel has been actively engaged in research as a Research Associate at the Health Information Research Lab (HIRL) and the 4IR Research Cell at Daffodil International University since 2022. Her work focuses on artificial intelligence, machine learning, and healthcare applications. She has led impactful projects, including developing mobile applications and machine learning models for disease detection and diagnosis. Payel’s expertise spans medical image classification, federated learning, and graph neural networks. Her hands-on experience in research and innovation highlights her ability to address real-world challenges and contribute significantly to advancements in AI and healthcare technologies.

🌍Research Contributions On Artificial Intelligence

Ms. Israt Jahan Payel has made significant contributions to artificial intelligence and healthcare research. Her innovative projects include developing the “Grape Guard” app for grape leaf disease detection, achieving exceptional precision and accuracy. She proposed a Graph Neural Network approach for breast cancer diagnosis and integrated federated learning with explainable AI for privacy-preserving healthcare solutions. Her work on multi-modality medical image classification combines X-ray, MRI, and CT modalities for advanced disease detection. With publications in high-impact journals and ongoing research in deep learning, medical imaging, and data analytics, Payel’s contributions address critical healthcare challenges with real-world impact.

🥇Award and Recognition

Ms. Israt Jahan Payel has been widely recognized for her outstanding contributions to artificial intelligence and healthcare applications. Her innovative project, “Grape Guard,” earned acclaim for achieving exceptional precision in grape leaf disease detection. She has published in high-impact journals such as the Journal of Cancer Research and Clinical Oncology, reflecting her excellence in academic research. Her work on Graph Neural Networks for breast cancer diagnosis and federated learning in healthcare has set benchmarks in the field. A consistent achiever, Payel has been honored for her research excellence and dedication to advancing AI-driven solutions for real-world problems.

📚Publication Top Notes

Graph Neural Network-Based Breast Cancer Diagnosis Using Ultrasound Images with Optimized Graph Construction Integrating the Medically Significant Features
📖 Journal of Cancer Research and Clinical Oncology
📅 2023 | 👥 Cited by: 3

DVS: Blood Cancer Detection Using Novel CNN-Based Ensemble Approach
📄 arXiv preprint arXiv:2410.05272
📅 2024 | 👥 Cited by: 1

Grape Guard: A YOLO-Based Mobile Application for Detecting Grape Leaf Diseases
📜 Journal of Electronic Science and Technology
📅 2025 | ✨ New Publication

A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis
📚 Journal of Healthcare Informatics Research
📅 2024