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

8
H-Index
26
Papers
172
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of path following and obstacle avoidance for multiple wheeled robots in a shared workspace
23 citations · 2018
📈 Most Prolific Year: 2024 (9 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: University of Genoa, Kennesaw State University, Virginia Tech

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago