
Anindya Mondal
PhD student in Computer Vision and AI at the Surrey Institute for People-Centred AI (CVSSP), University of Surrey.
My research addresses challenges in representation learning for real-world settings by integrating auxiliary signals across modalities. I develop algorithms for vision–language integration, focusing on robust action recognition, object counting, and text-to-image synthesis, with an emphasis on practical solutions for dynamic scene interpretation and generation.
Publications and Preprints



Awards & Recognition
- 2024: AAAI 2025 Conference cum Travel Grant (worth $1200), Philadelphia, USA.
- 2023: ICCV 2023 Conference Grant, Paris, France.
- 2022: University of Surrey Postgraduate Studentship, UK.
- 2022: Uplink Research Internship Award, ACM SIGKDD India Chapter.
Teaching & Peer Review
- 2023 – 2025: Teaching Assistant for Applied Machine Learning (EEEM068), Advanced Topics in Computer Vision and Deep Learning (EEEM071), and UKRI Centre for Doctoral Training (CDT) at the University of Surrey
- 2022 – 2025: Peer reviewer for ICASSP, ICCV, CVPR, ECCV, NeurIPS, ICPR, Transactions on Signal Processing (TSP), Transactions on Signal and Information Processing over Networks (TSIPN).