Design Lessons From Binary Fission: A Crowd Sourced Game for Precondition Discovery. - Kate Compton; Heather Logas; Joseph C. Osborn; Chandranil Chakraborttii; Kelsey Coffman; Daniel Fava; Dylan Lederle-Ensign; Zhongpeng Lin; Jo Mazeika; Afshin Mobramaein; Johnathan Pagnutti; Huascar Sanchez; et al. (DiGRA/FDG, 2016)

Towards generative emotions in games based on cognitive modeling. - Chandranil Chakraborttii; Lucas N. Ferreira; Jim Whitehead (FDG, 2017)

Talk to Me About Pong: On Using Conversational Interfaces for Mixed-Initiative Game Design. - Afshin Mobramaein; Jim Whitehead; Chandranil Chakraborttii (AAAI Spring Symposia, 2018)

SSD QoS Improvements through Machine Learning. - Chandranil Chakraborttii; Vikas Sinha; Heiner Litz (SoCC, 2018)

Improving the accuracy, adaptability, and interpretability of SSD failure prediction models. - Chandranil Chakraborttii; Heiner Litz (SoCC, 2020)

Learning I/O Access Patterns to Improve Prefetching in SSDs. - Chandranil Chakraborttii; Heiner Litz (ECML/PKDD (4), 2020)

Reducing write amplification in flash by death-time prediction of logical block addresses. - Chandranil Chakraborttii; Heiner Litz (SYSTOR, 2021)

Improving Performance of Solid State Drives (SSDs) Using Machine Learning. - Chandranil Chakraborttii (2021)

Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling. - Lokesh N. Jaliminche; Chandranil Nil Chakraborttii; Changho Choi; Heiner Litz (SoCC, 2023)

Leveraging Temporality of Data to Improve Failure Predictions for Solid State Drives in Data Centers. - Chandranil Chakraborttii; Jonas Boettner (COMPSAC, 2023)

Towards data generation to alleviate privacy concerns for cybersecurity applications. - Dhiraj Ganji; Chandranil Chakraborttii (COMPSAC, 2023)

A Deep-Learning Approach to Marble-Burying Quantification: Image Segmentation of Marbles and Bedding. - Yicheng Zhu; Brandon Hudson; Chandranil Chakraborttii; Yun-Hsuan Su; Kevin Huang 001 (SII, 2023)

Characterizing player responses to surprising events in 2D platform games. - Chandranil Chakraborttii; Anya Osborne (Entertain. Comput., 2023)

MemFlex: A Hybrid Memory System to Boost Cost of Ownership in Data Centers. - Chandranil Chakraborttii; Mohammad Maminur Islam (COMPSAC, 2024)

Improving Insurance Fraud Detection With Generated Data. - Kiet Ha; Lucas Stowe; Chandranil Chakraborttii (COMPSAC, 2024)

Towards Generating Surprising Content in 2D Platform Games. - Chandranil Chakraborttii; Lucas Ferreira (FDG, 2024)

TAP: Transformers Driven Adaptive Prefetching for Hybrid Memory Systems. - Chandranil Chakraborttii; Mohammad Maminur Islam (ISCMI, 2024)

Enhancing Graph Representation Learning with WalkLM for Effective Community Detection. - Hyun Lee; Mohammad Maminur Islam; Chris Yi; Chandranil Nil Chakraborttii (NSysS, 2024)