The AMEDD Uses Goal Programming to Optimize Workforce Planning Decisions. - Nathaniel D. Bastian; Pat McMurry; Lawrence V. Fulton; Paul M. Griffin; Shisheng Cui; Thor Hanson; Sharan Srinivas (Interfaces, 2015)

Optimizing Student Team and Job Assignments for the Holy Family Academy. - Sharan Srinivas; Mohammadmahdi Alizadeh; Nathaniel D. Bastian (Interfaces, 2017)

Optimizing outpatient appointment system using machine learning algorithms and scheduling rules: A prescriptive analytics framework. - Sharan Srinivas; A. Ravi Ravindran (Expert Syst. Appl., 2018)

Topic-based knowledge mining of online student reviews for strategic planning in universities. - Sharan Srinivas; Suchithra Rajendran (Comput. Ind. Eng., 2019)

Community detection and influential node identification in complex networks using mathematical programming. - Sharan Srinivas; Chandrasekharan Rajendran (Expert Syst. Appl., 2019)

A simulation-based evaluation of warehouse check-in strategies for improving inbound logistics operations. - Dustin Smith; Sharan Srinivas (Simul. Model. Pract. Theory, 2019)

Discovering Airline-Specific Business Intelligence from Online Passenger Reviews: An Unsupervised Text Analytics Approach. - Sharan Srinivas; Surya Ramachandiran (CoRR, 2020)

Adaptive neighborhood simulated annealing for sustainability-oriented single machine scheduling with deterioration effect. - Mohamed Raafat Salama; Sharan Srinivas (Appl. Soft Comput., 2021)

Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities. - Suchithra Rajendran; Sharan Srinivas (CoRR, 2021)

Predicting Demand for Air Taxi Urban Aviation Services using Machine Learning Algorithms. - Suchithra Rajendran; Sharan Srinivas; Trenton Grimshaw (CoRR, 2021)

Consultation length and no-show prediction for improving appointment scheduling efficiency at a cardiology clinic: A data analytics approach. - Sharan Srinivas; Haya Salah (Int. J. Medical Informatics, 2021)

Modeling and analysis of business process reengineering strategies for improving emergency department efficiency. - Sharan Srinivas; Roland Paul Nazareth; Md Shoriat Ullah (Simul., 2021)

Predict, then schedule: Prescriptive analytics approach for machine learning-enabled sequential clinical scheduling. - Haya Salah; Sharan Srinivas (Comput. Ind. Eng., 2022)

Designing variable-sized block appointment system under time-varying no-shows. - Sharan Srinivas; Sangdo (Sam) Choi (Comput. Ind. Eng., 2022)

Environmentally-Aware Robotic Vehicle Networks Routing Computation for Last-mile Deliveries. - Chengyi Qu; Rounak Singh; Sharan Srinivas; Prasad Calyam (ICCCN, 2023)

Online Self-Service Learning Platform for Application-Inspired Cloud Development and Operations (DevOps) Curriculum. - Roshan Lal Neupane; Prasad Calyam; Songjie Wang; Kiran Neupane; Ashish Pandey; Xiyao Cheng; Durbek Gafurov; Hemanth Sai Yeddulapalli; Noah Glaser; Kanupriya Singh; Yuanyuan Gu; Shangman Li; et al. (IEEE Trans. Learn. Technol., 2024)

Passenger intelligence as a competitive opportunity: unsupervised text analytics for discovering airline-specific insights from online reviews. - Sharan Srinivas; Surya Ramachandiran (Ann. Oper. Res., 2024)

Collaborative truck multi-drone delivery system considering drone scheduling and en route operations. - Teena Thomas; Sharan Srinivas; Chandrasekharan Rajendran (Ann. Oper. Res., 2024)

Q-Learning-Based Dynamic Drone Trajectory Planning in Uncertain Environments. - Subrahmanya Chandra Bhamidipati; Adam Maxwell; Emily Pham; Johann Zhang; Zack Murry; Alicia Esquivel Morel; Chengyi Qu; Sharan Srinivas; Prasad Calyam (ICNC, 2025)

Securing Inverter-Based Resources via Knowledge-Driven Threat Modeling, Analysis, and Mitigation. - Roshan Lal Neupane; Vamsi Pusapati; Lakshmi Srinivas Edara; Xiyao Cheng; Kiran Neupane; Harshavardhan Chintapatla; Reshmi Mitra; Mert Korkali; Hyeong Suk Na; Sharan Srinivas; Prasad Calyam (NOMS, 2025)