PATENTS
- Method for Accelerating Image Storing And Retrieving Differential Latency Storage Devices Based On Access Rates
(Patent ID: 16/708429)
Inventors: Olarig, Paul, Schwaderer, David, Chakraborttii, Chandranil. Applicant: Samsung Electronics
- A Machine Learning method for SSD based Image Processing targeting Self-driving vehicles (Patent ID: 16/826066)
Inventors: Olarig, Paul, Schwaderer, David, Chakraborttii, Chandranil. Applicant: Samsung Electronics
ACCEPTED PUBLICATIONS
Chakraborttii, Chandranil, and Heiner Litz. “Deep Learning-based Prefetching for Flash.” Non-Volatile Memory Workshop. Vol. 1. No. 1. 2022.
- Reducing Write Amplification in Flash by Death time prediction of Logical Block Addresses
Chakraborttii, C., & Litz, H. (2021, June). Reducing Write Amplification in Flash by Death time prediction of Logical Block Addresses. In In the 14th ACM International Systems and Storage Conference (SYSTOR ’21) (June 14–16, 2021, Haifa, Israel).
Chakraborttii, Chandranil, and Heiner Litz. “Explaining SSD Failures using Anomaly Detection.” Non-Volatile Memory Workshop. Vol. 1. No. 1. 2021.
- Improving the accuracy, adaptability and interpretability of SSD failure prediction models
Chakraborttii, C., & Litz, H. (2020, October). Improving the accuracy, adaptability, and interpretability of SSD failure prediction models. In Proceedings of the 11th ACM Symposium on Cloud Computing (pp. 120-133).
- Learning I/O Access Patterns to Improve Prefetching in SSDs
Chakraborttii, C, and Heiner Litz. “Learning I/O Access Patterns to Improve Prefetching in SSDs.”, Applied Data Science Track, ECML-PKDD (2020).
- SSD QoS Improvements Through Machine Learning
Chakraborttii, C., Sinha, V., & Litz, H. (2018, October). SSD QoS Improvements Through Machine Learning. In Proceedings of the ACM Symposium on Cloud Computing (pp. 511-511). (short paper)
- Learning Storage IO Access Patterns to improve prefetching in SSDs
Chakraborttii, C., Sinha, V., & Litz, H. (2018, October). Industry-Academia Partnership | Flash Memory Summit 2018,
http://www.industry-academia.org/event-flash-memory-summit-2018.php (poster)
- Talk to me about pong: On using conversational interfaces for Mixed-Initiative game design
Afshin Mobramaein, Jim Whitehead, Chandranil Chakraborttii, Proc. 2018 AAAI Spring Symposium Series, The Design of the User Experience for Artificial Intelligence (the UX of AI), Palo Alto, CA, March 26–28, 2018.
- Towards generative emotions in games based on cognitive modeling
Chandranil Chakraborttii, Lucas Ferreira and Jim Whitehead.” Proceedings of the Eighth Workshop on Procedural Content Generation (PCG 2017), Hyannis, MA, August 14, 2017. (short paper)
- Design Lessons From Binary Fission: A Crowd Sourced Game for Precondition Discovery
Compton, K., Logas, H., Osborn, J. C., Chakrabortti, C., Coffman, K., Fava, D., … & Pagnutti, J. (2016). Design Lessons From Binary Fission: A Crowd Sourced Game for Precondition Discovery. In DiGRA/FDG.