A Novel Demand Side Management (DSM) Technique for Electric Grids with High Renewable Energy Mix using Hierarchical Clustering of Loads. - Muhammad Arbab Arshad; Syed Hasnain; Naveed Arshad (SMARTGREENS, 2019)

Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations. - Mohamed Abdallah; Manar Abu Talib; Mariam Hosny; Omnia Abu Waraga; Qassim Nasir; Muhammad Arbab Arshad (Adv. Eng. Informatics, 2022)

Mutation-based Fault Localization of Deep Neural Networks. - Ali Ghanbari 001; Deepak-George Thomas; Muhammad Arbab Arshad; Hridesh Rajan (ASE, 2023)

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)

Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions. - Muhammad Arbab Arshad; Talukder Z. Jubery; James Afful; Anushrut Jignasu; Aditya Balu; Baskar Ganapathysubramanian; Soumik Sarkar; Adarsh Krishnamurthy (CoRR, 2024)

Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency. - Sakib Shahriar; Brady D. Lund; Nishith Reddy Mannuru; Muhammad Arbab Arshad; Kadhim Hayawi; Ravi Varma Kumar Bevara; Aashrith Mannuru; Laiba Batool (CoRR, 2024)

AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. - Muhammad Arbab Arshad; Talukder Zaki Jubery; Tirtho Roy; Rim Nassiri; Asheesh K. Singh; Arti Singh; Chinmay Hegde; Baskar Ganapathysubramanian; Aditya Balu; Adarsh Krishnamurthy; Soumik Sarkar (CoRR, 2024)

From Predictive Importance to Causality: Which Machine Learning Model Reflects Reality? - Muhammad Arbab Arshad; Pallavi Kandanur; Saurabh Sonawani; Laiba Batool; Muhammad Umar Habib (CoRR, 2024)

Comparison of deep learning algorithms for site detection of false data injection attacks in smart grids. - Qassim Nasir; Manar Abu Talib; Muhammad Arbab Arshad; Tracy Ishak; Romaissa Berrim; Basma Alsaid; Youssef Badway; Omnia Abu Waraga (Energy Inform., 2024)

Leveraging Vision Language Models for Specialized Agricultural Tasks. - Muhammad Arbab Arshad; Talukder Zaki Jubery; Tirtho Roy; Rim Nassiri; Asheesh K. Singh; Arti Singh; Chinmay Hegde; Baskar Ganapathysubramanian; Aditya Balu; Adarsh Krishnamurthy; Soumik Sarkar (WACV, 2025)

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification. - Yanben Shen; Timilehin Ayanlade; Venkata Naresh Boddepalli; Mojdeh Saadati; Ashlyn Rairdin; Zi K. Deng; Muhammad Arbab Arshad; Aditya Balu; Daren S. Mueller; Asheesh K. Singh; Wesley Everman; Nirav C. Merchant; et al. (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)