Approximation algorithms for problems in scheduling with set-ups. - Srikrishnan Divakaran; Michael E. Saks (Discret. Appl. Math., 2008)

Approximation algorithms for constrained generalized tree alignment problem. - Srikrishnan Divakaran (Discret. Appl. Math., 2009)

An Online Algorithm for a Problem in Scheduling with Set-ups and Release Times. - Srikrishnan Divakaran; Michael E. Saks (Algorithmica, 2011)

A Fast Template Based Heuristic For Global Multiple Sequence Alignment - Srikrishnan Divakaran; Arpit Mithal; Namit Jain (CoRR, 2013)

An Optimal Offline Algorithm for List Update. - Srikrishnan Divakaran (CoRR, 2014)

Fast Algorithms for Exact String Matching. - Srikrishnan Divakaran (CoRR, 2015)

A Fast Heuristic for Exact String Matching. - Srikrishnan Divakaran (CoRR, 2015)

Fast Approximation Schemes for Bin Packing. - Srikrishnan Divakaran (CoRR, 2019)

A Fast Scalable Heuristic for Bin Packing. - Srikrishnan Divakaran (CoRR, 2019)

An Optimal Algorithm for 1-D Cutting Stock Problem. - Srikrishnan Divakaran (CoRR, 2020)

A Deep Learning Perspective to Atmospheric Correction of Satellite Images. - Maitrik Shah; Mehul S. Raval; Srikrishnan Divakaran (IGARSS, 2022)

Study and Impact Analysis of Data Shift in Deep Learning Based Atmospheric Correction. - Maitrik Shah; Mehul S. Raval; Srikrishnan Divakaran; Pragnesh Patel (IGARSS, 2023)

A Framework for Biomechanical Analysis of Jump Landings for Injury Risk Assessment. - Srishti U. Sharma; Srikrishnan Divakaran; Tolga Kaya; Christopher Taber; Mehul S. Raval (PRDC, 2023)

A Computer Vision Framework on Biomechanical Analysis of Jump Landings. - Srishti U. Sharma; Srikrishnan Divakaran; Tolga Kaya; Mehul S. Raval (ICVGIP, 2024)

An Evaluation of the Determinants of Performance in NCAA Division I Women's Basketball: A Dual-Season Investigation. - Samah Senbel; N. Sertac Artan; Christopher Taber; S. Alexander Long; Srishti U. Sharma; Mahmud Kandawala; Mehul S. Raval; Srikrishnan Divakaran; Tolga Kaya (ISACE, 2024)

Athletic signature: predicting the next game lineup in collegiate basketball. - Srishti U. Sharma; Srikrishnan Divakaran; Tolga Kaya; Mehul S. Raval (Neural Comput. Appl., 2024)

Self-explaining Hierarchical Model for Fatigue Monitoring and Prediction in Basketball Self-explaining Hierarchical Model for Fatigue Monitoring and Prediction in Basketball. - Srishti U. Sharma; Srikrishnan Divakaran; Tolga Kaya; Mehul S. Raval (SN Comput. Sci., 2025)

Underpinning Performance Metrics Between a Winning and Losing Season in Division 1 Women's Basketball. - Samah Senbel; N. Sertac Artan; Julie Nolan; Christopher Taber; S. Alexander Long; Srishti U. Sharma; Mirbalaj Rishi; Mahmud Kandawala; Mehul S. Raval; Srikrishnan Divakaran; Tolga Kaya (SN Comput. Sci., 2025)