Mohd.Atif Khan
Papers
1
Total Citations
7
H-Index
1
About
Dr. Mohd. Atif Khan is a researcher whose work sits at the intersection of signal processing and machine learning, with a particular focus on acoustic source localization. His most-cited contribution, "Support Vector Regression based Direction of Arrival Estimation of an Acoustic Source" (2020, 7 citations), addresses a critical challenge in surveillance, robotics, and defense applications. In this work, Khan pioneered the use of support vector regression (SVR) to estimate the direction-of-arrival (DOA) of acoustic signals captured by a uniform array. By training a machine-learning model on acquired signal features, his approach offers a robust alternative to traditional DOA methods, improving accuracy in noisy environments. This contribution highlights his ability to bridge classical signal processing with modern AI techniques, making his work relevant to both theoretical and applied research. With a growing citation footprint, Khan’s research continues to influence advancements in acoustic sensing and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1