About Me

I am a fourth-year PhD candidate 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.

Peer-Reviewed Publications

• 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, 2024.

• Enabling High Bandwidth Applications over 5G Environments
  Rohail Asim, Ankit Bhardwaj, Lakshminarayanan Subramanian, Yasir Zaki. Demo in ACM SIGCOMM, 2024.

• 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, 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, 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

Manuscripts

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

• Fine-grained Covid-19 Forecasting in New Jersey in the Early Days with Almost No Data
  Srikanth Jagabathula, Ankit Bhardwaj, Beth Simone Noveck, Lakshminarayanan Subramanian.