Dr. Vinit Katariya | Deep Learning | Best Researcher Award
Post Doctoral Researcher | University of North Carolina at Charlotte | United States
Short Bio 🌐
Vinit Katariya is a Machine Learning Researcher based in Charlotte, NC. His expertise spans machine learning modeling and algorithm design, with a focus on Python, C, and frameworks like PyTorch. He is dedicated to solving complex, large-scale problems with real-world impact.
Profile
Education 📚
Vinit Katariya earned his Doctor of Philosophy in Electrical Engineering from the University of North Carolina at Charlotte in December 2023, under the guidance of Dr. Hamed Tabkhi. His research focused on innovative applications of deep learning in transportation and IoT systems.
Experience 💼
As a Postdoctoral Researcher at UNC Charlotte, Vinit leads projects on speed estimation and smart city solutions, collaborating with international teams to enhance real-world video analytics and transportation efficiency.
Research Interest 🧠
Vinit Katariya’s research interests include deep learning applications in transportation safety, IoT edge computing, and anomaly detection using AI frameworks on embedded platforms.
Awards 🏆
- Best Demo Award – ICCPS 2023
- UNC Charlotte Graduate School Summer Scholarship – May 2022
Publications 📄
Vinit Katariya has co-authored articles in high-impact journals and conferences, including:
- Deeptrack: Lightweight deep learning for vehicle trajectory prediction in highways – IEEE Transactions on Intelligent Transportation Systems, 2022
- VegaEdge: Edge AI confluence for real-time IoT-applications in highway safety – Internet of Things, 2024
- VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems – CVPR, 2024