| 2026 | VLSID | An FPGA-Based Secure and Privacy-Aware RISC-V SoC with a CNN Accelerator for Edge AI. | Priyanshu Tyagi, Rhythm Patel, Sparsh Mittal, Rekha Singhal |
| 2025 | ICLR | MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion. | Onkar Kishor Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal |
| 2025 | VLSID | An SRAM-Based Multi-Operand Architecture Implementing Multi-Bit Boolean Functions Using in-Memory Periphery Computing. | Dhayan Dhananjaya Senanayake, Priyanshu Tyagi, Sparsh Mittal, Rekha Singhal |
| 2024 | COMAD | TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱. | Archisman Bhowmick, Mayank Mishra, Rekha Singhal |
| 2024 | HiPC | CAR-LLM: Cloud Accelerator Recommender for Large Language Models. | Ashwin Krishnan, Venkatesh Pasumarti, Samarth Inamdar, Arghyajoy Mondal, Manoj Nambiar, Rekha Singhal |
| 2024 | IC2E | Scalable and Cost-Effective Edge-Cloud Deployment for Multi-Object Tracking System. | Ratul Kishore Saha, Dheeraj Chahal, Rekha Singhal, Manoj Nambiar |
| 2024 | ICPR | Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation. | Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci |
| 2024 | ICSA | Optimal Mapping of Workflows Using Serverless Architecture in a Multi-Cloud Environment. | Manju Ramesh, Chetan Phalak, Dheeraj Chahal, Rekha Singhal |
| 2024 | VLSID | Security Implications of Approximation: A Study of Trojan Attacks on Approximate Adders and Multipliers. | Vishesh Mishra, Sparsh Mittal, Nirbhay Mishra, Rekha Singhal |
| 2023 | COMSNETS | SIRM: Cost efficient and SLO aware ML prediction on Fog-Cloud Network. | Chetan Phalak, Dheeraj Chahal, Rekha Singhal |
| 2023 | COMSNETS | Multicloud Deployment of AI Workflows Using FaaS and Storage Services. | Manju Ramesh, Dheeraj Chahal, Rekha Singhal |
| 2023 | EuroSys | Scalable High-Performance Architecture for Evolving Recommender System. | Ravi Kumar Singh, Mayank Mishra, Rekha Singhal |
| 2023 | EuroSys | Accelerating Model Training: Performance Antipatterns Eliminator Framework. | Ravi Kumar Singh, Mayank Mishra, Rekha Singhal |
| 2023 | IC2E | Multi-Objective Workflow Scheduling to Serverless Architecture in a Multi-Cloud Environment. | Manju Ramesh, Dheeraj Chahal, Chetan Phalak, Rekha Singhal |
| 2023 | ICDAR | TPFNet: A Novel Text In-painting Transformer for Text Removal. | Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal |
| 2023 | WACV | GEMS: Generating Efficient Meta-Subnets. | Varad Pimpalkhute, Shruti Kunde, Rekha Singhal |
| 2023 | WACV | GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks. | Onkar Susladkar, Gayatri Deshmukh, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal |
| 2022 | EuroPar | Hetero-Vis: A Framework for Latency Optimized Heterogeneous Deployment of Convolutional Neural Networks. | Nupur Sumeet, Karan Rawat, Manoj Nambiar, Rekha Singhal |
| 2022 | HPDC | Scalable and Cost-effective Serverless Architecture for Information Extraction Workflows. | Dheeraj Chahal, Surya Chaitanya Palepu, Rekha Singhal |
| 2022 | HPDC | Benchmarking the Data Layer Across Serverless Platforms. | Surya Chaitanya Palepu, Dheeraj Chahal, Manju Ramesh, Rekha Singhal |
| 2022 | IC2E | Pay-as-you-Train: Efficient ways of Serverless Training. | Dheeraj Chahal, Mayank Mishra, Surya Chaitanya Palepu, Ravi Kumar Singh, Rekha Singhal |
| 2021 | CCGRID | High Performance Serverless Architecture for Deep Learning Workflows. | Dheeraj Chahal, Manju Ramesh, Ravi Ojha, Rekha Singhal |
| 2021 | ESANN | Data-Efficient Training of High-Resolution Images in Medical Domain. | Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig |
| 2021 | HPDC | SLA-aware Workload Scheduling Using Hybrid Cloud Services. | Dheeraj Chahal, Surya Palepu, Mayank Mishra, Rekha Singhal |
| 2021 | SIGMOD | Distributed training for accelerating metalearning algorithms. | Shruti Kunde, Amey Pandit, Mayank Mishra, Rekha Singhal |
| 2021 | SIGMOD | RUSLI: Real-time Updatable Spline Learned Index. | Mayank Mishra, Rekha Singhal |
| 2020 | ISSRE | Migrating Large Deep Learning Models to Serverless Architecture. | Dheeraj Chahal, Ravi Ojha, Manju Ramesh, Rekha Singhal |
| 2020 | RecSys | Recommending in changing times. | Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta |
| 2020 | SIGMOD | A Vision on Accelerating Enterprise IT System 2.0. | Rekha Singhal, Dheeraj Chahal, Shruti Kunde, Mayank Mishra, Manoj Nambiar |
| 2019 | COMAD | Fast Online 'Next Best Offers' using Deep Learning. | Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari |
| 2019 | ICDCS | Polystore++: Accelerated Polystore System for Heterogeneous Workloads. | Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun |
| 2016 | DATA | Database Buffer Cache Simulator to Study and Predict Cache Behavior for Query Execution. | Chetan Phalak, Rekha Singhal, Tanmay Jhunjhunwala |
| 2016 | IDEAS | Predicting SQL Query Execution Time for Large Data Volume. | Rekha Singhal, Manoj Nambiar |
| 2015 | HiPC | Performance Assurance Model for HiveQL on Large Data Volume. | Amit Sangroya, Rekha Singhal |
| 2014 | ISSRE | Performability Comparison of Lustre and HDFS for MR Applications. | Rekha Singhal, Manoj Nambiar, Harish Sukhwani, Kishor S. Trivedi |
| 2012 | HPCC | A Framework for Predicting Query Response Time. | Rekha Singhal |