Khizar Anjum

Khizar Anjum

PhD Candidate

Khizar Anjum is a PhD candidate at Rutgers under the supervision of Dr. Dario Pompili at the Department of Electrical and Computer Engineering (ECE). His research interests lie at the intersection of areas of Approximate Computing, HW-SW Co-design, Artificial Intelligence, and Signal Processing. He has published in top-tier IEEE & ACM conferences, including IEEE PerCom, IEEE MASS, IEEE UComms, IEEE MWSCAS, and ACM WUWNet. His PhD research is focused on enabling deep-learning applications on resource-constrained systems such as drones, digital sensors, and robots. He received his MS (2022) from Rutgers University and BS (2019) from Lahore University of Management Sciences (LUMS), and was awarded an NMF Gold Medal for outstanding performance. He was also employed as a Research Assistant at LUMS, where he worked on utilizing deep neural networks for early diagnosis of Parkinson’s disease, a project mixing advanced signal-processing techniques with medical knowledge and neural networks. He has received several awards, including multiple prestigious ACM & IEEE conference travel grants, the Teaching Assistant of the Year Award at Rutgers (2020), and four consecutive Dean’s Honor List Awards at LUMS (2016-2019). He is also a co-inventor on multiple filed and provisional patents and a reviewer for several top-tier IEEE journals, including TMC and TRO.

Location
96 Frelinghuysen Road, Piscataway, NJ, 08854-8058, United States
Email
Website
https://khizar-anjum.github.io
GitHub
khizar-anjum
Google Scholar
Khizar Anjum

Research

My interests lie at the intersection of areas of Artificial Intelligence, Signal Processing and Robotics.

Teaching

  • Teaching Assistant (TA) for Linear Signals and Systems at Rutgers University, 2019
  • Teaching Assistant (TA) for Circuits-II at Lahore University of Management Sciences, 2018
  • Teaching Assistant (TA) for Signals and Systems at Lahore University of Management Sciences, 2018
  • Teaching Assistant (TA) for Engineering Modelling at Lahore University of Management Sciences, 2017

Publications

Journal Publications

  1. V. Sadhu, K. Anjum, and D. Pompili. ``On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification via FPGAs’’. IEEE Transactions on Robotics, 2022 (under review)

  2. K. Anjum, P. Pandey, V. Sadhu, R. Tron and D. Pompili. ‘‘Online Object Detection on Resource-Constrained Mobile Robots via Approximate Computing’’. IEEE Transactions on Multimedia, 2021 (under review)

Conference Papers

  1. K. Anjum, Z. Qi, and D. Pompili, ``Deep Joint Source-Channel Coding for Underwater Image Transmission,” 16th International Conference on Underwater Networks & Systems (WUWNet 2022), 2022.

  2. K. Anjum, Z. Li, and D. Pompili, ``Acoustic Channel-aware Autoencoder-based Compression for Underwater Image Transmission,” 10th Underwater Communications and Networking (UComms), 2022.

  3. Y. Hsieh, K. Anjum, and D. Pompili, ``Ultra-low Power Analog Recurrent Neural Network Design Approximation for Wireless Health Monitoring,’’ 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2022.

  4. K. Anjum, V. Sadhu and D. Pompili. ``ContextBots: Context-aware Framework for Real-time Robust Inference on Aerial Robots’’. \textit{IEEE International Conference on Intelligent Robots and Systems (IROS)}, 2022. (under review)

  5. Y. Hsieh, K. Anjum, S. Huang, I. Kulkarni and D. Pompili. ‘‘Hybrid Analog-Digital Sensing Approach for Low-power Real-time Anomaly Detection in Drone’’. IEEE 18th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2021.

  6. Y. Hsieh, K. Anjum, S. Huang, I. Kulkarni and D. Pompili. ‘‘Neural Network Design via Voltage-based Resistive Processing Unit and Diode Activation Function - A New Architecture’’. 64th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021.

  7. K. Anjum, V. Sadhu and D. Pompili. ‘‘Multi-UAV Situational Awareness via Distributed and Approximate Computing Techniques’’. IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2020. [IEEE Xplore]

Awards

  • TA Achievement Award of the Year at Rutgers, 2020

  • National Management Foundation (NMF) Gold Medal Award at Lahore University of Management Sciences (LUMS)

  • Four Dean’s Honor List Awards at LUMS, 2016-2019

  • National Outreach Program (NOP) Scholarship Award for study at LUMS

  • Merit-based Excellence Scholarship Award at Punjab College, Okara

  • Shahbaz Sharif Youth Scholarship Award, 2014