M. Hassan Tanveer
University of Genoa, Kennesaw State University, Virginia Tech
Papers
26
Total Citations
172
H-Index
8
About
M. Hassan Tanveer is a multidisciplinary researcher whose work spans robotics, computer vision, artificial intelligence, and autonomous systems. His research addresses some of the most pressing challenges in modern robotics and AI, with particular focus on autonomous navigation, domain adaptation, and the integration of deep learning into real-world systems. Tanveer's early contributions established his expertise in multi-robot coordination, including path following and obstacle avoidance for wheeled robots (23 citations), and innovative use of inverse perspective mapping for humanoid robot perception. His work expanded into UAV systems, where he pioneered bio-sonar-inspired approaches using mel-spectrogram and deep CNN architectures for environmental sensing in forested environments (19 citations). A comprehensive review of domain adaptation in computer and robotic vision (20 citations) has become a valuable reference for researchers bridging simulation-to-real gaps in machine learning. More recently, Tanveer has explored the frontiers of generative AI and its integration into real-time drone systems, Industry 5.0 object detection, and AI communication frameworks. Notably, his work on low-cost digital twins for K–12 and higher education (18 citations) demonstrates a commitment to democratizing robotics education. With a growing body of work accumulating over 120 citations, Tanveer represents an emerging voice shaping the intersection of intelligent systems and practical robotics applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2An In-Depth Analysis of Domain Adaptation in Computer and Robotic Vision20 citations · 2023
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- 5From AI to AGI - The Evolution of Real-Time Systems with GPT Integration13 citations · 2024
- 6
- 7Communication Interchange for Artificial Intelligence Systems8 citations · 2024
- 8Simulate Forest Trees by Integrating L-System and 3D CAD Files8 citations · 2020
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