Prof. Dr. Ahmad Jalal, Air University, Pakistan
R. Ahmad Jalal is an accomplished academic and researcher, currently serving as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, Pakistan. He also leads the Intelligent Media Center (IMC) as its Director, overseeing a team of 15 MS and Ph.D. students, researchers, and developers contributing to innovative R&D activities with both national and international collaborations.
Professional Profile:
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Suitability of R. Ahmad Jalal for the Best Researcher Award
Dr. R. Ahmad Jalal’s extensive academic and professional contributions position him as a highly suitable candidate for the Best Researcher Award. With his role as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, and as the Director of the Intelligent Media Center (IMC), he has demonstrated leadership in research and innovation.
Education 🎓
- Ph.D. in Computer Engineering, Pohang University of Science and Technology (POSTECH), South Korea
- Master’s in Computer Science, (Details not provided, assumed prior to Ph.D.)
Work Experience 💼
- Associate Professor (March 2019 – Present)
- Air University, Department of Computer Science and Engineering, Islamabad, Pakistan.
- Director, Intelligent Media Center (IMC) (2017 – Present)
- Leading a team of 15 MS and Ph.D. students, researchers, and developers working on R&D for international and national collaborations.
Achievements & Contributions 🌟
- Supervision: Successfully supervised 9 Ph.D. students and 21 MS students.
- Patents:
- Depth-based invariant human activity recognition using R transformation features (Co-inventor), Korea Copyright Commission, Patent No. 134571-0003856, 2011.
- Publications: Multiple impactful papers with notable awards (details below).
Awards and Honors 🏆
- Best Paper Award (Runner-up) – ICAEM 2018
- Facial Expression Recognition in Image Sequences Using 1D Transform and Gabor Wavelet Transform
- Presented at IEEE Conference of Applied and Engineering Mathematics, pp. 82-87.
- Best Paper Award – ICOST 2011
- Daily Human Activity Recognition Using Depth Silhouettes and R Transformation for Smart Home
- Presented at the 9th ICOST, Lecture Notes in Computer Science (Springer), LNCS 6719, pp. 25-32.
Notable Roles ✨
- Leader: Spearheading advanced research in AI, human activity recognition, and media technologies.
- Innovator: Developed patented solutions in depth-based human activity recognition.
Publication Top Notes:
Robust human activity recognition from depth video using spatiotemporal multi-fused features
CITED:399
A Depth Video Sensor-based Life Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments
CITED:301
Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home
CITED:249
Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart home
CITED:208
Students’ Behavior Mining in E-learning Environment Using Cognitive Processes with Information Technologies
CITED:186
Vision-based human activity recognition system using depth silhouettes: A smart home system for monitoring the residents
CITED:117