About Me

I am a third-year PhD student in the Computer Science department under Professor Lakshminarayanan Subramanian at Courant Institute of Mathematical Sciences, New York University. I completed my B.Tech in Computer Science and Engineering from Indian Institute of Technology, Kanpur in 2019. I am interested in building AI systems for real-world problems and doing impactful work. More specifically, my research interests lie in AI applications in the space of healthcare and sustainability.

Publications

• Understanding Sudden Traffic Jams: From Emergence to Impact
  Ankit Bhardwaj*, Shiva Iyer*, Sriram Ramesh, Jerome White, Lakshminarayanan Subramanian. Development Engineering: Journal of Engineering in Economic Development, 2022. 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, 2022. Outstanding Paper Award.

• Learning Pollution Maps from Mobile Phone Images
  Ankit Bhardwaj, Shiva Iyer, Yash Jalan, Lakshminarayanan Subramanian. IJCAI, 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

• 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, 2020. Slide deck and video presentation.

* represents equal contribution

Working Papers

• Learning Domain Faithful Deep Learning Models
  Ananth Balashankar, Ankit Bhardwaj, Thomas Wies, Lakshminarayanan Subramanian. Submitted to ICML, 2024.

• Discovering Hidden Pollution Hotspots From Sparse Sensor Measurements
  Ankit Bhardwaj, Ananth Balashankar, Shiva Iyer, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshminarayanan Subramanian. Submitted to KDD, 2024.

• Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning
  Sonish Sivarajkumar, Pratyush Tandale, Ankit Bhardwaj, Kipp W Johnson, Anoop Titus, Benjamin S Glicksberg, Shameer Khader, Kamlesh K Yadav, Lakshminarayanan Subramanian.