A New Approach for Adding Facial Expression to Neutral Face. - Ripon Kumar Saha; Naresh Chandra Biswas; Rameswar Debnath (CGVR, 2008)

Evaluating Code Clone Genealogies at Release Level: An Empirical Study. - Ripon K. Saha; Muhammad Asaduzzaman; Minhaz F. Zibran; Chanchal K. Roy; Kevin A. Schneider (SCAM, 2010)

Analyzing and Forecasting Near-Miss Clones in Evolving Software: An Empirical Study. - Minhaz F. Zibran; Ripon K. Saha; Muhammad Asaduzzaman; Chanchal K. Roy (ICECCS, 2011)

An automatic framework for extracting and classifying near-miss clone genealogies. - Ripon K. Saha; Chanchal K. Roy; Kevin A. Schneider (ICSM, 2011)

An Empirical Study of the Impacts of Clones in Software Maintenance. - Manishankar Mondal; Md. Saidur Rahman 002; Ripon K. Saha; Chanchal K. Roy; Jens Krinke; Kevin A. Schneider (ICPC, 2011)

Visualizing the evolution of code clones. - Ripon K. Saha; Chanchal K. Roy; Kevin A. Schneider (IWSC, 2011)

Comparative stability of cloned and non-cloned code: an empirical study. - Manishankar Mondal; Chanchal K. Roy; Md. Saidur Rahman 002; Ripon K. Saha; Jens Krinke; Kevin A. Schneider (SAC, 2012)

gCad: A Near-Miss Clone Genealogy Extractor to Support Clone Evolution Analysis. - Ripon K. Saha; Chanchal K. Roy; Kevin A. Schneider (ICSM, 2013)

Improving bug localization using structured information retrieval. - Ripon K. Saha; Matthew Lease; Sarfraz Khurshid; Dewayne E. Perry (ASE, 2013)

Understanding the evolution of type-3 clones: an exploratory study. - Ripon K. Saha; Chanchal K. Roy; Kevin A. Schneider; Dewayne E. Perry (MSR, 2013)

A discriminative model approach for suggesting tags automatically for stack overflow questions. - Avigit K. Saha; Ripon K. Saha; Kevin A. Schneider (MSR, 2013)

Evaluating the conventional wisdom in clone removal: a genealogy-based empirical study. - Minhaz F. Zibran; Ripon K. Saha; Chanchal K. Roy; Kevin A. Schneider (SAC, 2013)

Toward understanding the causes of unanswered questions in software information sites: a case study of stack overflow. - Ripon K. Saha; Avigit K. Saha; Dewayne E. Perry (ESEC/SIGSOFT FSE, 2013)

An empirical study of long lived bugs. - Ripon K. Saha; Sarfraz Khurshid; Dewayne E. Perry (CSMR-WCRE, 2014)

On the Effectiveness of Information Retrieval Based Bug Localization for C Programs. - Ripon K. Saha; Julia Lawall; Sarfraz Khurshid; Dewayne E. Perry (ICSME, 2014)

An Information Retrieval Approach for Regression Test Prioritization Based on Program Changes. - Ripon K. Saha; Lingming Zhang 001; Sarfraz Khurshid; Dewayne E. Perry (ICSE (1), 2015)

Are These Bugs Really "Normal"? - Ripon K. Saha; Julia Lawall; Sarfraz Khurshid; Dewayne E. Perry (MSR, 2015)

Understanding the triaging and fixing processes of long lived bugs. - Ripon K. Saha; Sarfraz Khurshid; Dewayne E. Perry (Inf. Softw. Technol., 2015)

ELIXIR: effective object oriented program repair. - Ripon K. Saha; Yingjun Lyu; Hiroaki Yoshida; Mukul R. Prasad (ASE, 2017)

Elixir: an automated repair tool for Java programs. - Ripon K. Saha; Hiroaki Yoshida; Mukul R. Prasad; Susumu Tokumoto; Kuniharu Takayama; Isao Nanba (ICSE (Companion Volume), 2018)

Bugs.jar: a large-scale, diverse dataset of real-world Java bugs. - Ripon K. Saha; Yingjun Lyu; Wing Lam; Hiroaki Yoshida; Mukul R. Prasad (MSR, 2018)

Harnessing evolution for multi-hunk program repair. - Seemanta Saha; Ripon K. Saha; Mukul R. Prasad (ICSE, 2019)

Fuzz testing based data augmentation to improve robustness of deep neural networks. - Xiang Gao 012; Ripon K. Saha; Mukul R. Prasad; Abhik Roychoudhury (ICSE, 2020)

Restoring the Executability of Jupyter Notebooks by Automatic Upgrade of Deprecated APIs. - Chenguang Zhu 002; Ripon K. Saha; Mukul R. Prasad; Sarfraz Khurshid (ASE, 2021)

SAPIENTML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. - Ripon K. Saha; Akira Ura; Sonal Mahajan; Chenguang Zhu 002; Linyi Li 001; Yang Hu; Hiroaki Yoshida; Sarfraz Khurshid; Mukul R. Prasad (ICSE, 2022)

AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography. - Ripon Kumar Saha; A. M. Mahmud Chowdhury; Kyung-Sun Na; Gyu Deok Hwang; Youngsub Eom; Jaeyoung Kim; Hae-Gon Jeon; Ho Sik Hwang; Euiheon Chung (CoRR, 2022)

Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence. - Dehao Qin; Ripon K. Saha; Suren Jayasuriya; Jinwei Ye; Nianyi Li (CoRR, 2023)

Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence. - Ripon Kumar Saha; Dehao Qin; Nianyi Li; Jinwei Ye; Suren Jayasuriya (CVPR, 2024)

Unsupervised Moving Object Segmentation with Atmospheric Turbulence. - Dehao Qin; Ripon Kumar Saha; Woojeh Chung; Suren Jayasuriya; Jinwei Ye; Nianyi Li (ECCV (6), 2024)

Turbulence Strength Cn2 Estimation from Video using Physics-based Deep Learning. - Ripon Kumar Saha; Esen Salcin; Jihoo Kim; Joseph Smith; Suren Jayasuriya (CoRR, 2024)

MetaVIn: Meteorological and Visual Integration for Atmospheric Turbulence Strength Estimation. - Ripon Kumar Saha; Scott McCloskey; Suren Jayasuriya (WACV, 2025)