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Muhammad Asif Khan

Research Scientist

muasifkn@gmail.com

I am a Research Scientist at Qatar Mobility Innovations Center (QMIC), Doha, Qatar. I was a postdoctoral research fellow at Qatar University. I received a Ph.D. degree in electrical engineering from Qatar University (2020), an M.Sc. degree in telecommunication engineering from the University of Engineering and Technology Taxila, Pakistan (2013), and a B.Sc. degree in telecommunication engineering from the University of Engineering and Technology Peshawar, Pakistan (2009).
I am the recipient of the Postdoctoral Research Award (PDRA) from the Qatar National Research Fund (QNRF) in 2022. I have published over 50 peer reviewed articles and book chapters. I am a senior member of IEEE, a member of IET, and a Chartered Engineer (CEng) with the Engineering Council (UK).
I am an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Consumer Electronics (TCE), IEEE Transactions on Technology and Society (TTS), and IEEE Future Directions Technology Policy and Ethics Newsletter.

News and Updates 📣

Awards and Grants

  • Best Presenter ★ at IEEE ICFTSS, Aug 2024, Kuala lumpur, Malaysia
  • Post-Doctoral Research Awards (PDRA) 💰 by Qatar National Research Fund (QNRF) - 2022 (~200,000 USD)
  • Graduate Assistant scholarship 💰 by Office of Research and Graduate Studies at Qatar University - 2014 (~40,000 USD)

Research Highlights

My future research interests include: TinyML, neuromorphic computing, self-supervised learning. Reach out if you're interested in collaboration.


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Connected and Autonomous Vehicles (CAVs)

My research on autonomous vehicles (AVs) focuses on perception (camera + LiDAR), sensor attacks, security of in-vehicle network (IVN) including intrusion detection system (IDS), and issues such as adaptive resource allocation.


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Lightweight crowd models for Edge

I explored various directions including model architectures, learning methods, on-device inference, enhanced learning (using curriculum learning), multi-modal networks (RGB+TIR), and GANs to improve the performance of crowd models. Yu are seeing a snapshot of our crowd counting PoC deployed in a metro station (in Qatar) using two PTZ cameras and a single NVIDIA's Jetson Nano device, providing real-time counting through web interface to out client.


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Haris: Stereo-vision based Depth and Size estimation

Haris, the autonomous robot uses stereo-vision to estimate depth and size of obstacles from the detected bounding boxes to navigate and avoid collisions. This overcomes the limitations of LiDAR based sensing for non-reflective objects such as fire, smoke, etc and detect objects like sign boards.
This is the Master thesis work of Layth Hamad . Read the [paper] in IEEE Sensors Letters.


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Drone Detection Techniques and Unauthorized Drone Detection

We evaluated drone detection methods (i.e., acoustic detection, radio frequency (RF) detection, and visual detection) and proposed a new novel encryption-based scheme to detect unauthorized drones in the air. For acoustic detection, we used a ReSpeaker 4-mic array and RaspberryPi processor with Open EmbeddeD Audition System (ODAS) GUI. For RF detection, we used E312 USRP (by Ettusresearch™) with a 2x2 MIMO transceiver. For visual detection, we used a PTZ camera WizSense series (model# SD6CE445XA-HNR), and Jetson Xavier device. Read our survey article in IEEE Sensors journal.


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Edge Computing for Massive Internet of Things (IoT) Networks

What if the edge resources are insufficient "thundering herd problem" We propose a solution CODE to alleviate edge congestion in the event of unplanned traffic spikes.

Distributed inference on local device and edge server while meeting the delay deadlines can be beneficial, but how to split a deep learning model? Read our [article].


Teaching

Courses Taught

  • STAT-819 Advance Machine Learning (3 Cr. Hrs) - AWKUM , Mardan, Pakistan
  • STAT-836 Advanced Techniques and Logical Reasoning (3 Cr. Hrs) - AWKUM , Mardan, Pakistan

Thesis (Co-) Supervised

  • Curriculum Learning for Monocular Depth Estimation in Disaster Management using UAVs, Jorge Turriate (He/him), Master M2 EEEA MMVAI), Universit ́e d’Evry Paris-Saclay , France. (2025)
  • M.Phil Thesis, Samiullah (He/him), AWKUM , Mardan, Pakistan (2023-24)

Mentorships

  • Mentor at GAIN Mentorship Program , Germany, 2024/2025.
  • Summer Internship Supervisor at Qatar Mobility Innovations Center (QMIC), 2022-25
  • Research Mentor at Qatar University Young Scientist Center (QUYSC), 2023-24

Talks

  • [Invited Talk] "Intelligent Edge for 6G and Massive IoT Systems" in IEEE MCSoC 2025.
  • [Keynote] "Progress in Visual Crowd Counting Methods" in ICVPRD 2025.
  • [Keynote] Revisiting Visual Crowd Counting in ASGT 2025.
  • [Invited Talk] "Real-time Crowd Counting at the Edge" in ACM IPMV 2025. [video]
  • [Invited Talk] "Intelligent Edge for 6G and Massive IoT Systems" IEEE ICNGN 2024.
  • [Tutorial] "Mobile Edge Computing for Massive IoT Systems" in IEEE ISNCC, 2023.
  • [Guest Lecture] "Network Slicing in 5G", at Qatar University, Doha, Qatar, April 11, 2023.
  • [Invited Talk] "Machine Learning in Mobile Computing - Recent Trends, Opportunities and Challenges" in MLIS 2020. [video]
Some of my talks are available on my YouTube channel .

Selected Publications

For a complete list of publications, please visit Google Scholar

Service

Journal Editorial Committee

  • Associate Editor, IEEE Transactions on Neural Networks and Learning Systems (Jan 2025-Present)
  • Associate Editor, IEEE Transactions on Consumer Electronics (July 2024 - June 2026)
  • Associate Editor, IEEE Transactions on Technology and Society (May 2024 - May 2026)
  • Associate Editor, IEEE Future Directions Newsletter (Apr 2021 - Present)

Grant Reviewer

Technical Program Committees

  • Program/Technical Committee Chair - IEEE ICFTSS 2024, CompAuto 2023-2024, CRET 2024
  • Tutorial Chair - IEEE GEM 2023
  • Workshop Chair - IOROL 2025, 6GIoTT 2022
  • Area Chair - IJCNN 2025
  • PC Member (ML/AI) - NeurIPS 2024, WACV 2025, IJCNN 2025, IEEE BigData 2020, CVIPPR 2024
  • PC Member (Communication/Others) - IEEE ICC 2021-2025, IEEE Globecom 2024-25, IEEE VTC 2023, IEEE CCNC 2021-2025, IEEE ICCE 2025-2026, ICCE Berlin 2023, ICCE Taiwan, IEEE ICASSP 2020, 2024, IEEE Sensors 2020, IEEE IWCMC 2023, IEEE SusTech 2020-2025, ++

Journal Reviewer

  • IEEE Transactions: TAI, TNNLS, TMLCN, TMC, TVT, T-ITS, TETC, SMC, TCE, TCSVT, TMTT, TDSC, TII
  • IEEE Journals: COMST, COMMAG, COMSTD, OJCOMS, OJVT, WCM, WCL, IOT, IOTMAG, NL, ISJ, Sensors, SENL, Access
  • Other Journals: Nature Scientific Reports, IJCV, ACM Computing Surveys, FGCS, IET Communications, IET Image Processing,

    • View my verified reviews on Web of Science .

Technical Committees

Videos

Keynotes, Invited Talks, and Conference Presentations