| 2025 | ICASSP | Can AI See What We Can't? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction. | Gautam Siddharth Kashyap, Harsh Joshi, Manaswi Kulahara, Rajkumar Dhakar, Atul Sajjanhar, Jiechao Gao, Sarthak Jain, Shahab Saquib Sohail |
| 2025 | ICDM | Surgeons Are Indian Males and Speech Therapists Are White Females: Auditing Biases in Vision-Language Models for Healthcare Professionals. | Zohaib Hasan Siddiqui, Dayam Nadeem, Mohammad Masudur Rahman, Mohammad Nadeem, Shahab Saquib Sohail, Beenish Moalla Chaudhry |
| 2025 | IJCNN | Are Horses Always Strong and Donkeys Dumb? Animal Bias in Vision Language Models. | Mohammad Anas, Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Amir Hussain |
| 2025 | Interspeech | Investigating Gender Bias in Text-to-Audio Generation Models. | Aarish Shah Mohsin, Mohammad Nadeem, Shahab Saquib Sohail, Tughrul Arslan, Mandar Gogate, Nasir Saleem, Amir Hussain |
| 2025 | PAKDD | Owls are Wise and Foxes are Unfaithful: Uncovering Animal Stereotypes in Vision Language Models. | Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail, Mohammad Anas, Erik Cambria |
| 2014 | HIS | Ordered ranked weighted aggregation based book recommendation technique: A link mining approach. | Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali |