Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning
Sonish Sivarajkumar, Romy Roy, Pratyush Tandale, Ankit Bhardwaj, Kipp W Johnson, Anoop Titus, Benjamin S Glicksberg, Shameer Khader, Kamlesh K Yadav, Lakshminarayanan Subramanian. Accepted at Genes, 2025.
Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks
Ankit Bhardwaj, Ananth Balashankar, Shiva Iyer, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshminarayanan Subramanian. ACM Journal of Computing and Sustainable Societies (JCSS), 2025. Presented at ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS), 2025. Selected for ACM Showcase. [Slide deck]
Understanding Sudden Traffic Jams: From Emergence to Impact
Ankit Bhardwaj*, Shiva Iyer*, Sriram Ramesh, Jerome White, Lakshminarayanan Subramanian. Journal of Engineering in Economic Development (Development Engineering), 2023. DOI: https://doi.org/10.1016/j.deveng.2022.100105
Predicting Treatment Adherence of Tuberculosis Patients at Scale
Mihir Kulkarni*, Satvik Golechha*, Rishi Raj Grandhe*, Jithin K. Sreedharan*, Ankit Bhardwaj, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Kirankumar Rade, Sanjay Mattoo, Rajendra Joshi, Alpan Raval. Machine Learning for Health Symposium (ML4H), 2022. Outstanding Paper Award.
Learning Pollution Maps from Mobile Phone Images
Ankit Bhardwaj, Shiva Iyer, Yash Jalan, Lakshminarayanan Subramanian. International Joint Conference on Artificial Intelligence (IJCAI), AI for Good, 2022. Oral Presentation.
High Precision Mammography Lesion Identification From Imprecise Medical Annotations
Ulzee An, Ankit Bhardwaj, Shameer Khader, Lakshminarayanan Subramanian. Frontiers in Big Data, 2021. DOI: 10.3389/fdata.2021.742779
* represents equal contribution
Towards Causal Understanding of Urban Air Pollution: Mechanistic Models under Sparse Sensing
Ankit Bhardwaj, Lakshminarayanan Subramanian. NeurIPS Workshop on Uncovering Causality in Science (CauScien), 2025.
BEACON: Bayesian Contrastive Learning for Single-Cell Gene Regulatory Inference
Yunwei Zhao, Ankit Bhardwaj, Lakshminarayanan Subramanian. NeurIPS Workshop on AI Virtual Cells and Instruments: A New Era in Drug Discovery and Development (AI4D3), 2025. Full paper under review.
Modeling Economic Viability for Scalable AI Deployment in Emerging Regions
Rohail Asim, Ankit Bhardwaj, Arjuna Sathiaseelan, Yasir Zaki, Lakshminarayanan Subramanian. SOSP Workshop on Practical Adoption Challenges of ML for Systems (PACMI), 2025.
Limitations of scRNA-seq Zero-Imputation Methods for Network Inference
Ankit Bhardwaj, Joshua Weiner, Preetha Balasubramanian, Lakshminarayanan Subramanian. ICML Workshop on Machine Learning for Life and Material Science: From Theory to Industry Applications (ML4LMS), 2024.
Enabling High Bandwidth Applications over 5G Environments
Rohail Asim, Ankit Bhardwaj, Lakshminarayanan Subramanian, Yasir Zaki. Demo in ACM SIGCOMM, 2024.
Robust lock-down optimization for COVID-19 policy guidance
Ankit Bhardwaj*, Han-Ching Ou*, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval. AAAI Fall Symposium on AI for Social Good (AISG), 2020. Slide deck and video presentation.
* represents equal contribution
FieldFormer: Physics-Informed Transformers for Spatio-Temporal Field Reconstruction from Sparse Sensors
Ankit Bhardwaj, Ananth Balashankar, Lakshminarayanan Subramanian. Under Review.
Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks
Ankit Bhardwaj, Rohail Asim, Sachin Chauhan, Yasir Zaki, Lakshminarayanan Subramanian. Under Review.
A Modular Abstraction for Integrating Domain Rules into Deep Learning Models
Ananth Balashankar, Ankit Bhardwaj, Neelabh Madan, Thomas Wies, Lakshminarayanan Subramanian. Under Review.
Towards Next Generation Immersive Applications in 5G Environments
Rohail Asim, Ankit Bhardwaj, Lakshminarayanan Subramanian, Yasir Zaki. Under Review.