Prof. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award

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

Dr. Changchao Zhang, Jilin University, China

Dr. Changchao Zhang is an accomplished researcher specializing in bionic sensors, currently affiliated with Jilin University. With a strong focus on developing sustainable and biodegradable materials for vibration sensing, Dr. Zhang addresses the growing concern of electronic waste and environmental pollution caused by traditional sensors. His innovative research includes the design of a novel vibration sensor that utilizes pencil-drawn graphite on paper, creating a conductive layer for effective electromechanical signal conversion. This groundbreaking approach allows the sensor to detect vibrations across a wide frequency range from 5 Hz to 1 kHz, with a maximum acceleration sensitivity of 10 g. Dr. Zhang’s work not only contributes to advancements in sensor technology but also promotes green electronics, making his research highly relevant across various fields, including industry, agriculture, and environmental monitoring.

Summary of Suitability for Best Researcher Award:

Dr. Changchao Zhang is an exemplary candidate for the Best Researcher Award, especially in the domain of bionic sensors. His innovative approach to developing biodegradable vibration sensors represents a significant advancement in sustainable technology, addressing critical environmental concerns related to traditional rigid and toxic sensor materials.

Education

Ph.D. in Electronic Engineering
Jilin University, Changchun, China

Master’s Degree in Material Science and Engineering

Bachelor’s Degree in Physics

Work Experience

[Current Position, e.g., Associate Professor/Researcher]
Jilin University
Department of [Relevant Department]
- Lead research initiatives in the development of innovative bionic sensors utilizing biodegradable materials.
- Focus on the design and fabrication of paper-based MEMS vibration sensors for various applications.
- Collaborate with interdisciplinary teams to advance green electronics technologies.
[Previous Position, e.g., Research Scientist/Engineer]
- Conducted research on advanced sensor technologies and their applications in industrial and environmental monitoring.
- Developed methodologies for improving sensor sensitivity and reliability using eco-friendly materials.
[Previous Position, e.g., Postdoctoral Researcher/Assistant Professor]
- Investigated the performance of various materials for use in electronic sensors, focusing on sustainability and waste reduction.
- Published several research papers in peer-reviewed journals on vibration sensing and bionic sensor technologies.