Vinit Katariya

Areas of Focus:

Real-time embedded AI for intelligent transportation systems Scalable AI pipelines for edge-IoT and smart-city applications Trajectory forecasting and motion generation in dynamic urban environments Real-time Monocular depth and speed estimation Computer vision for behavior prediction and anomaly detection Multi-modal data fusion for context-aware decision-making GenAI-based Privacy-preserving action detection using Wi-Fi CSI (Channel State Information)

 

Educational Background:

• Ph.D. in Electrical Engineering, University of North Carolina at Charlotte, Charlotte, NC
• M.S. in Electrical Engineering, University of North Carolina at Charlotte, Charlotte, NC
• B.E., Electronics, University of Pune, India

 

Selected Publications:

Journal papers

• Katariya, V., Noghre, G. A., Pazho, A. D., & Tabkhi, H. (2024). "A POV-based highway vehicle trajectory dataset and prediction architecture". IEEE Transactions on Intelligent Transportation Systems, 25(10), 13136–13146. doi: 10.1109/TITS.2024.3435775. (Impact Factor: 7.5)
• Katariya, V., Baharani, M., Morris, N., Shoghli, O., Tabkhi, H. (2022). "Deeptrack: Lightweight deep learning for vehicle trajectory prediction in highways". IEEE Transactions on Intelligent Transportation Systems, 23(10), 18927–18936. doi: 10.1109/TITS.2022.3172015. (Impact Factor: 6.3)
• Katariya, V., Fatema-E-Jannat, Danesh Pazho, A., Alinezhad Noghre, G., Tabkhi, H. (2024). "VegaEdge: Edge AI confluence for real-time IoT-applications in highway safety". Internet of Things, 101268. doi: 10.1016/j.iot.2024.101268. (Impact Factor: 6.0)
• Ardabili, B. R., Pazho, A. D., Noghre, G. A., Katariya, V., Hull, G., Reid, S., & Tabkhi, H. (2024). "Exploring Public's perception of safety and video surveillance technology: A survey approach". Technology in Society, 78, 102641. doi: 10.1016/j.techsoc.2024.102641. (Impact Factor: 10.1)
• Rashvand, N., Witham, K., Maldonado, G., Katariya, V., Marer Prabhu, N., Schirner, G., Tabkhi, H. (2024). "Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers". IoT, 5(2), 212–226. doi: 10.3390/iot5020011. (Cite Score: 8.5)

Peer-reviewed conference papers

• Katariya, V., Alinezhad, G.*, Danesh Pazho, A., Neff, C., Tabkhi, H. (2023). "Pishgu: Universal path prediction network architecture for real-time cyber-physical edge systems". In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), San Antonio, TX, May 9, 2023. (* = joint first author)
• Maldonado, G., Katariya, V., Alinezhad, G.*, Danesh Pazho, A., Neff, C., Tabkhi, H. (2025). "MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation." Proceedings of the Computer Vision and Pattern Recognition Conference.
• Pazho, A. D., Noghre, G. A., Katariya, V., & Tabkhi, H. (2024). "VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 5651–5662), Seattle, June 2024.
• Alinezhad, G., Danesh Pazho, A., Katariya, V., Tabkhi, H. (2023). "Understanding the challenges and opportunities of pose-based anomaly detection". In Proceedings of the 8th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, Lübeck, Germany, September 2023. Alinezhad, G., Katariya, V., Danesh Pazho, A., Neff, C., Tabkhi, H. (2023). "Demonstration of Pishgu: Universal path prediction network architecture for real-time cyber-physical edge systems". In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), San Antonio, TX, May 9, 2023. (* = joint first author)
• Katariya, V., Weldon, T. P. (2019). "Search-Based Design of Digital Non-Foster Antenna Match for High-Speed Low-Impedance Converters". In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Atlanta, GA.