Vinit Katariya

Areas of Focus: 

1. AI for Intelligent Transportation & Smart Cities: Real-time embedded AI for intelligent transportation systems, Scalable AI pipelines for edge-IoT applications

2. Trajectory Prediction & Motion Planning in Dynamic Environments: Trajectory forecasting, motion generation, and anomaly detection, Computer vision for behavior prediction

 3. Multi-Modal Perception & Sensor Fusion: Monocular depth and speed estimation, Multi-modal data fusion for context-aware decision-making

 4. Generative & Privacy-Preserving AI: GenAI-based privacy-preserving action detection using Wi-Fi CSI

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.