Tariq Ahmad
Papers
2
Total Citations
32
H-Index
2
About
Dr. Tariq Ahmad is a pioneering researcher at the intersection of artificial intelligence, computer vision, and technology law. His work in Human Action Recognition (HAR) has advanced real-world applications in video surveillance and robotics, most notably through his 2021 study on feature fusion using CNN-based logistic regression—a paper that has garnered 17 citations for its practical approach to detecting undesirable activities in security footage. Equally impactful is his seminal 2019 comparative analysis on the regulation of artificial intelligence across global jurisdictions, including the European Union and United Nations agencies, which has earned 15 citations for its timely examination of the emerging policy landscape. This dual expertise—bridging technical innovation with legal frameworks—positions Dr. Ahmad as a unique voice in responsible AI development. His contributions not only push the boundaries of machine learning but also inform critical conversations on governance, making his work essential reading for students and researchers navigating the complex interplay between cutting-edge technology and societal regulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Regulation of Artificial Intelligence in Selected Jurisdictions15 citations · 2019