1. Duc Hoang, Haotao Wang, Handong Zhao, Ryan Rossi, Sungchul Kim, Kanak Mahadik and Zhangyang Wang, AutoMARS: Searching to Compress Multi-Modality Recommendation Systems, ACM International Conference on Information and Knowledge Management (CIKM), October 2022

  2. Mustafa Abdallah, Ryan Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao and Saurabh Bagchi, AutoForecast: Automatic Time-Series Forecasting Model Selection, ACM International Conference on Information and Knowledge Management (CIKM), October 2022

  3. Sheng Yang, Samir Khuller, Sunav Choudhary, Kanak Mahadik and Subrata Mitra, Correlated Stochastic Knapsack with a Submodular Objective, European Symposium on Algorithms (ESA), September 2022

  4. Hongjie Chen, Ryan A Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry, Graph Deep Factors for Probabilistic Time-series Forecasting, ACM Transactions on Knowledge Discovery from Data (KDD), June 2022

  5. Atul Sharma, Pranjal Jain, Ashraf Mahgoub, Zihan Zhou, Kanak Mahadik, Somali Chaterji, Lerna: Transformer Architectures for Configuring Error Correction Tools for Short- and Long-Read Genome Sequencing, BMC Bioinformatics, January 2022

  6. Sheng Yang, Samir Khuller, Sunav Choudhary, Subrata Mitra and Kanak Mahadik, Scheduling Machine Learning Training on Unreliable Spot Instances, DML-ICC @ IEEE / ACM UCC , December 2021

  7. Hongjie Chen, Ryan A Rossi, Kanak Mahadik, Hoda Eldardiry, Context Integrated Relational Spatio-Temporal Resource Forecasting, IEEE BigData, December 2021

  8. Hongjie Chen, Ryan A Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry, Graph Deep Factor Model for Cloud Utilization Forecasting, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), August 2021

  9. Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne, " Fast Distributed Bandits for Online Recommendation Systems", ACM International Conference on SuperComputing (ICS), June, 2020

  10. Phanwadee Sinthong, Kanak Mahadik, Somdeb Sarkhel, Saayan Mitra, "Scaling DNN-based Video Analysis by Coarse-grained and Fine-grained Parallelism", IEEE ICME, June 2020

  11. Sana Malik, Kanak Mahadik, "Designing an Interactive Dashboard for Automated Cloud Resource Management", Automation Experience across Domains, ACM CHI 2020

  12. Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao. “Linear Quadratic Regulator for Resource-Efficient Cloud Services”, ACM SoCC 2019 (poster)

  13. Kanak Mahadik, Christopher Wright, Milind Kulkarni, Saurabh Bagchi, Somali Chaterji, “Scalable Genomic Assembly through Parallel de Bruijn Graph Construction for Multiple K-mers”, Scientific Reports, Nature Research, 2019

  14. Sanchit Misra, Tony Pan, Kanak Mahadik, George Powley, Priya Vaidya, Md. Vasimuddin, Srinivas Aluru. Performance Extraction and Suitability Analysis of Multi- and Many-core Architectures for Next Generation Sequencing Secondary Analysis. PACT2018

  15. Kanak Mahadik, Christopher Wright, Milind Kulkarni, Saurabh Bagchi, Somali Chaterji. Scalable Genomic Assembly through Parallel de Bruijn Graph Construction for Multiple K-mers. BCB 2017

  16. Kanak Mahadik, Christopher Wright, Jinyi Zhang, Milind Kulkarni, Saurabh Bagchi, Somali Chaterji. SARVAVID: A Domain Specific Language for Developing Scalable Computational Genomics Applications. ICS 2016

  17. Kanak Mahadik, Wei Tang, Folker Meyer, Saurabh Bagchi. Do specialized distributed frameworks for bioinformatics applications obtain better performance over generic ones?. ACM Conference on Bioinformatics, Computational Biology and Health Informatics (BCB) 2015.

  18. Wei Tang, Jared Bischof, Narayan Desai, Kanak Mahadik, Wolfgang Gerlach, Travis Harrison, Andreas Wilke, Folker Meyer. Workload Characterization for MG-RAST Metagenomic Data Analytics Service in the Cloud. IEEE Big Data 2014

  19. Kanak Mahadik , Somali Chaterji, Bowen Zhou , Milind Kulkarni, Saurabh Bagchi. Orion: Scaling Genomic Sequence Matching with Fine-Grained Parallelization. GHC 2014, SC 2014

  20. Thomas Hacker, Kanak Mahadik. Flexible Resource Allocation for Reliable Virtual Cluster Computing Systems. SC 2011