Mr. Ayush Roy | Computer Vision | Young Researcher Award

PhD, University at Buffalo, United States

Ayush Roy is an emerging researcher and innovator in the field of Electrical Engineering with a deep interest in AI, computer vision, and biomedical image analysis. Currently pursuing his B.E. at Jadavpur University, he has demonstrated exceptional potential through interdisciplinary research, AI-driven solutions, and impactful contributions to both academia and real-world applications. With multiple international publications and recognitions, Ayush is a dynamic force in the intersection of deep learning, signal processing, and intelligent systems.

Publication Profile

Google Scholar

🎓 Education Background

Ayush Roy is a final-year undergraduate student at Jadavpur University, West Bengal, India, enrolled in the Bachelor of Engineering (Electrical) program with an SGPA of 8.1/10 (2020–2024). He completed his schooling from Bhartiya Vidya Bhavan, West Bengal under the CBSE board, scoring 90.6% in Class 12 and a perfect CGPA of 10 in Class 10.

💼 Professional Experience

Ayush’s research journey began at Jadavpur University, working under renowned professors in Audio Signal Processing, Reinforcement Learning, and Image Segmentation. As a research intern at the Indian Statistical Institute, he contributed to dataset development and text detection models. He furthered his research as an intern at the University of Malaya on transformer-based networks and at IISc Bangalore on CLIP for image quality assessment. His work integrates deep learning models like YOLO, Swin Transformer, UNet, and CLIP with novel architectures and real-world applications.

🏆 Awards and Honors

Ayush has earned several accolades such as the Most Innovative Solution award at Hack-a-Web by NIT Bhopal (2021), 3rd Prize at FrostHack, IIT Mandi (2022), Top 10 in Cloud Community Hackday by GDG Cloud, and became a Finalist in both the IEEE R10 Robotics Competition and 404 Resolved hackathon at IIT Delhi.

🔬 Research Focus

His primary research areas include computer vision, medical image segmentation, scene text detection, and real-time AI systems. He is especially focused on lightweight models, attention mechanisms, domain adaptation, and hybrid approaches combining deep learning and signal processing. He has created multiple datasets for benchmarking including those for drone license plate detection, underwater text, water meter digit recognition, and circuit component recognition.

📌 Conclusion

Ayush Roy stands as a committed and creative researcher, blending electrical engineering fundamentals with cutting-edge AI methodologies. His work not only adds value to academic literature but also paves the way for practical, socially impactful AI systems. With an impressive early-career portfolio, Ayush continues to show immense promise for future contributions to science and technology.

📚 Top Publication Notes

AWGUNet: Attention-aided Wavelet Guided U-net for nuclei segmentation in histopathology images

Year: 2024

Journal/Conference: ISBI 2024

Cited By: 2 articles (Google Scholar)

A Wavelet Guided Attention Module for Skin Cancer Classification

Year: 2024

Journal/Conference: ISBI 2024

Cited By: 1 article (Google Scholar)

A New Lightweight Attention-based Model for Emotion Recognition Using Distorted Social Media Images

Year: 2023

Journal/Conference: ACPR 2023

Cited By: 3 articles

Fourier Feature-based CBAM and Vision Transformer for Text Detection in Drone Images

Year: 2023

Conference: ICDAR WML 2023

Cited By: 1 article

A Lightweight Script Independent Scene Text Style Transfer Network

Year: 2024

Journal: International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)

Cited By: 1 article

Identification and Classification of Human Mental Stress using Physiological Data

Year: 2022

Conference: IEEE CATCON 2022

Cited By: 4 articles

Adapting a Swin Transformer for License Plate Number and Text Detection in Drone Images

Year: 2023

Journal: Artificial Intelligence and Applications (AIA)

Cited By: 2 articles

An Attention-based Fusion of ResNet50 and InceptionV3 Model for Water Meter Digit Recognition

Year: 2023

Journal: Artificial Intelligence and Applications (AIA)

Cited By: 1 article

DAU-Net: Dual Attention-aided U-Net for Segmenting Tumor Region in Breast Ultrasound Images

Year: 2023

Journal: PLOS ONE

Cited By: 6 articles

Assist. Prof. Dr. Thittaporn Ganokratanaa | Computer Vision | Best Researcher Award

Lecturer at King Mongkut’s University of Technology Thonburi, Thailand

Dr. Thittaporn Ganokratanaa is an Assistant Professor in the Applied Computer Science Programme at King Mongkut’s University of Technology Thonburi. She is a dynamic academic leader involved in national and international committees including IEEE and AIAT. She actively advises innovation projects and engages in AI policy shaping in Thailand. With a strong academic and research background, she contributes significantly to the fields of artificial intelligence and multimedia signal processing. Dr. Thittaporn is widely recognized for her innovative spirit, mentorship, and leadership in applied research and education.

Academic Background🎓

Dr. Thittaporn holds a Ph.D. in Electrical Engineering with a focus on Multimedia and Signal Processing from Chulalongkorn University, with research collaboration at the University of Trento, Italy. She earned her M.Eng. from Chulalongkorn University with a GPA of 3.92 and her B.Sc. in Media Technology with first-class honors and a gold medal from KMUTT. Her academic journey is marked by multiple prestigious scholarships and fellowships, reflecting her academic excellence and commitment to research in AI, signal processing, and biomedical technology.

Professional Experience📊

Dr. Thittaporn currently serves as an Assistant Professor at KMUTT and holds several key leadership roles including Secretary of the IEEE Thailand Section and committee positions in IEEE MGA, CQC, and AIAT. She has contributed to national AI advisory committees and has served as advisor to several award-winning student innovation projects. Her career is defined by interdisciplinary collaboration, global engagement, and dedication to advancing computer science and AI education. She actively participates in conferences, policy development, and technical review roles in the academic and governmental sectors.

Awards and Honors🏆🥇

Dr. Thittaporn has received numerous prestigious awards, including the Grand Prize and Gold Medal at JDIE2024, multiple National Research Council of Thailand innovation awards, and Best Presentation at CSoNet 2024. She has been awarded both nationally and internationally for her innovative projects such as robotic prosthetics and AI-driven healthcare solutions. Her mentorship has led to student accolades at events like NSC and CommTECH. Recognized by organizations like UNOOSA and NUS, her work continues to drive excellence in AI research and technological innovation

Research Focus🔬

Dr. Thittaporn’s research interests span artificial intelligence, video anomaly detection, computer vision, human-computer interaction, multimedia signal processing, and the Internet of Things. She focuses on applying machine learning to solve real-world problems in healthcare, education, and smart technologies. Her projects include intelligent assistive devices, AI-powered learning platforms, and robotic systems. She integrates innovation with societal impact, aiming to bridge research and practical applications. Her interdisciplinary approach and global collaborations support her goal of creating technology that is ethical, inclusive, and transformative.

Conclusion🌏

Dr. Thittaporn Ganokratanaa is an outstanding candidate for the Best Researcher Award, with a strong track record in artificial intelligence, computer vision, multimedia signal processing, and human-computer interaction. Her academic excellence—evident from her Ph.D. in Electrical Engineering with international collaboration and multiple scholarships—pairs seamlessly with her innovation-driven research, reflected in numerous national and international awards, including from NRCT and JDIE. She actively contributes to impactful real-world applications, such as AI-assisted healthcare technologies and smart systems. Her leadership roles in IEEE Thailand, the AI Association of Thailand, and advisory committees for national AI policy underscore her influence in both academia and policy. Additionally, her mentorship of award-winning student projects highlights her dedication to shaping future researchers. Overall, Dr. Thittaporn exemplifies the qualities of a top-tier researcher with global impact, national relevance, and visionary leadership.