A Preliminary Performance Model for Optimizing Software Packet Processing Pipelines. - Ankit Bhardwaj; Atul Shree; V. Bhargav Reddy; Sorav Bansal (APSys, 2017)

Robust Lock-Down Optimization for COVID-19 Policy Guidance. - Ankit Bhardwaj; Han-Ching Ou; Haipeng Chen 001; Shahin Jabbari; Milind Tambe; Rahul Panicker; Alpan Raval (AI4SG@AAAI Fall Symposium, 2020)

On the Impact of Isolation Costs on Locality-aware Cloud Scheduling. - Ankit Bhardwaj; Meghana Gupta; Ryan Stutsman (HotCloud, 2020)

Adaptive Placement for In-memory Storage Functions. - Ankit Bhardwaj; Chinmay Kulkarni 002; Ryan Stutsman (USENIX ATC, 2020)

NrOS: Effective Replication and Sharing in an Operating System. - Ankit Bhardwaj; Chinmay Kulkarni 002; Reto Achermann; Irina Calciu; Sanidhya Kashyap; Ryan Stutsman; Amy Tai; Gerd Zellweger (OSDI, 2021)

High Precision Mammography Lesion Identification From Imprecise Medical Annotations. - Ulzee An; Ankit Bhardwaj; Khader Shameer; Lakshminarayanan Subramanian (Frontiers Big Data, 2021)

Cache-coherent accelerators for persistent memory crash consistency. - Ankit Bhardwaj; Todd Thornley; Vinita Pawar; Reto Achermann; Gerd Zellweger; Ryan Stutsman (HotStorage, 2022)

Comparative Analysis of Skin Cancer Prediction using Neural Networks and Transfer Learning. - Soumitra Das; Durgaprasad Gangodkar; Rajesh Singh 001; Pradakhshana Vijay; Ankit Bhardwaj; Amit Semwal (IC3I, 2022)

Learning Pollution Maps from Mobile Phone Images. - Ankit Bhardwaj; Shiva R. Iyer; Yash Jalan; Lakshminarayanan Subramanian (IJCAI, 2022)

Predicting Treatment Adherence of Tuberculosis Patients at Scale. - Mihir Kulkarni; Satvik Golechha; Rishi Raj; Jithin K. Sreedharan; Ankit Bhardwaj; Santanu Rathod; Bhavin Vadera; Jayakrishna Kurada; Sanjay Mattoo; Rajendra Joshi; Kirankumar Rade; Alpan Raval (ML4H@NeurIPS, 2022)

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 (CoRR, 2023)

Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based DNN Serving. - Ankit Bhardwaj; Amar Phanishayee; Deepak Narayanan; Mihail Tarta; Ryan Stutsman (CoRR, 2023)

Demo: Enabling High Bandwidth Applications over 5G Environments. - Rohail Asim; Ankit Bhardwaj; Lakshmi Subramanian; Yasir Zaki (SIGCOMM (Posters and Demos), 2024)

Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images. - Mohammad Mahdi Behzadi; Mohammad Madani; Hanzhang Wang; Jun Bai; Ankit Bhardwaj; Anna Tarakanova; Harold Yamase; Ga Hie Nam; Sheida Nabavi (Biomed. Signal Process. Control., 2024)

Discovering Hidden Pollution Hotspots Using Sparse Sensor Measurements. - Ankit Bhardwaj; Ananth Balashankar; Shiva R. Iyer; Nita Soans; Anant Sudarshan; Rohini Pande; Lakshminarayanan Subramanian (CoRR, 2024)

ObjecTier: Non-Invasively Boosting Memory Tiering Performance. - Vinita Pawar; Ankit Bhardwaj; Ryan Stutsman (ICPE (Companion), 2025)

Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks. - Ankit Bhardwaj; Rohail Asim; Sachin Chauhan; Yasir Zaki; Lakshminarayanan Subramanian (CoRR, 2025)

Checkmate: Zero-Overhead Model Checkpointing via Network Gradient Replication. - Ankit Bhardwaj; Weiyang Wang; Jeremy Carin; Adam Belay; Manya Ghobadi (CoRR, 2025)

Towards Next Generation Immersive Applications in 5G Environments. - Rohail Asim; Ankit Bhardwaj; Lakshmi Suramanian; Yasir Zaki (CoRR, 2025)