معرفی
Sambit Bakshi is an active academic researcher in the field of computer science, affiliated with the Department of Computer Science and Engineering at the National Institute of Technology Rourkela, India. His research spans computer vision, biometrics, deep learning, and intelligent systems, with a strong emphasis on real-world applications in surveillance, healthcare, agriculture, and IoT.
His primary research interests include biometrics (especially ear and periocular recognition), person re-identification, UAV-based image analysis, multimedia forensics, and fog/edge computing. He has contributed significantly to the development of deep learning models for object segmentation, anomaly detection, and secure biometric systems.
The recent publications demonstrate a consistent trend in applying deep neural networks, attention mechanisms, and lightweight architectures to solve complex problems in visual recognition and data analytics. His work often appears in high-impact IEEE and ACM journals, reflecting strong technical rigor and relevance.
Scientific Contributions:
- Co-edited special issues in IEEE Access and Image and Vision Computing
- Contributed to benchmark challenges such as the Unconstrained Ear Recognition Challenge 2019
- Developed novel methods in ear biometrics, periocular recognition, and UAV-based segmentation
- Active in editorial roles and collaborative research across international teams
Advising and Collaborative Research:
- Frequent collaborator with researchers from NIT Rourkela, University of Beira Interior (Portugal), and other international institutions
- Co-authored over 120 publications, indicating active supervision and mentoring of students
- Involved in interdisciplinary projects spanning AI, security, and healthcare
Labs and Research Groups:
Though not explicitly stated, his work suggests involvement in a computer vision and biometrics lab at NIT Rourkela, focusing on AI-driven solutions for societal and industrial applications.
