| 2026 | TEI | Making Connections: Understanding How Students Enact Interdisciplinary Linkages in Computational Making for Learning Science in the Classroom. | Abhishek Kulkarni, Marcin Karcz, Sharon Lynn Chu |
| 2025 | ICALT | Situated Cognition in Educational Mobile Apps: Does Physical Situatedness Help Learning? | Abhishek Kulkarni, Cecelia Albright, Sharon Lynn Chu |
| 2025 | RecSys | GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. | Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2024 | ICAPS | Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. | Yash Shukla, Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov |
| 2024 | ICALT | Towards Lesson Planning Interfaces for Integration of Students' Out-of-Classroom Experiences. | Abhishek Kulkarni, Shaina Murphy, Cecelia Albright, Sharon Lynn Chu |
| 2024 | ICDM | From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce Recommendations. | Abhishek Kulkarni, Sumit Kumar Dutta, Sivaram Prasad Mudunuri, Kamiya Motwani, Rahul Ghosh |
| 2024 | SIGCSE | The Integration of Computational Thinking and Making in the Classroom. | David Magda, Christina Gardner-McCune, Yerika Jimenez, Sharon Lynn Chu, Abhishek Kulkarni |
| 2024 | VR | Investigating Situated Learning Theory Through an Augmented Reality Mobile Assistant for Everyday STEM Learning. | Abhishek Kulkarni, Cecelia Albright, Pratik Kamble, Sharon Lynn Chu |
| 2023 | Interact | Everyday-Inspired Movies: Towards the Design of Movie Recommender Systems based on Everyday Life through Personal Social Media. | Abhishek Kulkarni, Larry Powell, Shaina Murphy, Nanjie Rao, Sharon Lynn Chu |
| 2023 | SIGCSE | Towards an Adaptable Curriculum-Driven Block-based Learning Environment. | Christina Gardner-McCune, Yerika Jimenez, David Magda, Abhishek Kulkarni, Sharon Lynn Chu |
| 2021 | PLDI | Predictive data locality optimization for higher-order tensor computations. | Tharindu Rusira Patabandi, Anand Venkat, Abhishek Kulkarni, Pushkar Ratnalikar, Mary W. Hall, Justin Gottschlich |
| 2019 | CoNEXT | Preliminary Study on Indoor Localization using Smartphone-Based IEEE 802.11mc. | Abhishek Kulkarni, Alvin Lim |
| 2019 | ITW | Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix. | Chaitanya Chinni, Abhishek Kulkarni, Dheeraj M. Pai, Kaushik Mitra, Pradeep Kiran Sarvepalli |
| 2016 | HPDC | Network-Managed Virtual Global Address Space for Message-driven Runtimes. | Abhishek Kulkarni, Luke Dalessandro, Ezra Kissel, Andrew Lumsdaine, Thomas L. Sterling, D. Martin Swany |
| 2015 | HiPC | Dynamic Adaptation for Elastic System Services Using Virtual Servers. | Abhishek Kulkarni, Hugh Greenberg, Michael Lang, Andrew Lumsdaine |
| 2015 | ICFP | Efficient communication and collection with compact normal forms. | Edward Z. Yang, Giovanni Campagna, mer S. Agacan, Ahmed El-Hassany, Abhishek Kulkarni, Ryan R. Newton |
| 2013 | ICFP | Embrace, defend, extend: a methodology for embedding preexisting DSLs. | Abhishek Kulkarni, Ryan R. Newton |
| 2013 | SC | Performance Modeling of Gyrokinetic Toroidal Simulations for a Many-Tasking Runtime System. | Matthew Anderson, Maciej Brodowicz, Abhishek Kulkarni, Thomas L. Sterling |
| 2013 | SC | Using simulation to explore distributed key-value stores for extreme-scale system services. | Ke Wang, Abhishek Kulkarni, Michael Lang, Dorian C. Arnold, Ioan Raicu |
| 2012 | HiPC | The design and implementation of a multi-level content-addressable checkpoint file system. | Abhishek Kulkarni, Adam Manzanares, Latchesar Ionkov, Michael Lang, Andrew Lumsdaine |
| 2012 | ICFP | A meta-scheduler for the par-monad: composable scheduling for the heterogeneous cloud. | Adam Foltzer, Abhishek Kulkarni, Rebecca Swords, Sajith Sasidharan, Eric Jiang, Ryan Newton |
| 2012 | ICS | Optimizing latency and throughput for spawning processes on massively multicore processors. | Abhishek Kulkarni, Andrew Lumsdaine, Michael Lang, Latchesar Ionkov |