Multi-UAV Situational Awareness via Distributed and Approximate Computing Techniques. - Khizar Anjum; Vidyasagar Sadhu; Dario Pompili (MASS, 2020)

Hybrid Analog-Digital Sensing Approach for Low-power Real-time Anomaly Detection in Drones. - Yung-Ting Hsieh; Khizar Anjum; Songjun Huang; Indraneel S. Kulkarni; Dario Pompili (MASS, 2021)

Neural Network Design via Voltage-based Resistive Processing Unit and Diode Activation Function - A New Architecture. - Yung-Ting Hsieh; Khizar Anjum; Songjun Huang; Indraneel S. Kulkarni; Dario Pompili (MWSCAS, 2021)

Deep Joint Source-Channel Coding for Underwater Image Transmission. - Khizar Anjum; Zhuoran Qi; Dario Pompili (WUWNet, 2022)

Demo: Deep Joint Source-Channel Coding for Underwater Image Transmission. - Khizar Anjum; Zhuoran Qi; Dario Pompili (WUWNet, 2022)

The Power Of Simplicity: Why Simple Linear Models Outperform Complex Machine Learning Techniques - Case Of Breast Cancer Diagnosis. - Muhammad Arbab Arshad; Sakib Shahriar; Khizar Anjum (CoRR, 2023)

On-Board Deep-Learning-Based Unmanned Aerial Vehicle Fault Cause Detection and Classification via FPGAs. - Vidyasagar Sadhu; Khizar Anjum; Dario Pompili (IEEE Trans. Robotics, 2023)

ContextBots: Real-time Context-aware Inference on Aerial Robots. - Khizar Anjum; Vidyasagar Sadhu; Dario Pompili (DCOSS-IoT, 2024)

Leveraging On-Board UAV Motion Estimation for Lightweight Macroscopic Crowd Identification. - Khizar Anjum; Tahmeed Chowdhury; Sreeram Mandava; Benedetto Piccoli; Dario Pompili (PerCom, 2024)

ACommSet: Underwater Acoustic Communications Dataset Collection and Evaluation in at-Sea Field Experiments. - Zhuoran Qi; Khizar Anjum; Dario Pompili (WUWNet, 2024)

Battery-Less Implantable Continuous EEG Monitoring via Anisotropic Diffusion. - Khizar Anjum; Dario Pompili (IEEE J. Sel. Areas Commun., 2024)

Real-Time Navigation for Autonomous Aerial Vehicles Using Video. - Khizar Anjum; Parul Pandey; Vidyasagar Sadhu; Roberto Tron; Dario Pompili (CoRR, 2025)

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models. - Khizar Anjum; Muhammad Arbab Arshad; Kadhim Hayawi; Efstathios Polyzos; Asadullah Tariq; Mohamed Adel Serhani; Laiba Batool; Brady D. Lund; Nishith Reddy Mannuru; Ravi Varma Kumar Bevara; Taslim Mahbub; Muhammad Zeeshan Akram; et al. (CoRR, 2025)

Ultra-Low Power Analog Folded Neural Network for Cardiovascular Health Monitoring. - Yung-Ting Hsieh; Khizar Anjum; Dario Pompili (IEEE J. Biomed. Health Informatics, 2025)