Sharan Srinivas

Orcid: 0000-0003-2066-8836

According to our database1, Sharan Srinivas authored at least 28 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

On csauthors.net:

Bibliography

2026
Hybrid and distributionally robust optimization approaches for hospital blood bank inventory management under demand uncertainty.
J. Oper. Res. Soc., May, 2026

A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management.
CoRR, May, 2026

iFreightOps: Platform for Data-Driven Freight Transportation Management in Port Operations.
IEEE Trans. Engineering Management, 2026

Causal inference and explainable artificial intelligence based quantum deep learning for remaining useful lifetime prediction.
Knowl. Based Syst., 2026

Integrated maintenance and production scheduling on a single machine with time-based and job-specific deterioration: A matheuristic approach.
Comput. Oper. Res., 2026

Network Environment-Aware Drone Path Planning in Last-Mile Medical Supply Delivery.
Proceedings of the International Conference on Computing, Networking and Communications, 2026

2025
When Algorithms Manage Humans: A Double Machine Learning Approach to Estimating Nonlinear Effects of Algorithmic Control on Gig Worker Performance and Wellbeing.
CoRR, December, 2025

Securing Inverter-Based Resources via Knowledge-Driven Threat Modeling, Analysis, and Mitigation.
Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025

Edge-Enabled Scalable Routing via Graph Neural Network Pruning and Metaheuristic Optimization.
Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

Q-Learning-Based Dynamic Drone Trajectory Planning in Uncertain Environments.
Proceedings of the International Conference on Computing, Networking and Communications, 2025

2024
Collaborative truck multi-drone delivery system considering drone scheduling and en route operations.
Ann. Oper. Res., August, 2024

Passenger intelligence as a competitive opportunity: unsupervised text analytics for discovering airline-specific insights from online reviews.
Ann. Oper. Res., February, 2024

Online Self-Service Learning Platform for Application-Inspired Cloud Development and Operations (DevOps) Curriculum.
IEEE Trans. Learn. Technol., 2024

2023
Environmentally-Aware Robotic Vehicle Networks Routing Computation for Last-mile Deliveries.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

2022
Designing variable-sized block appointment system under time-varying no-shows.
Comput. Ind. Eng., 2022

Predict, then schedule: Prescriptive analytics approach for machine learning-enabled sequential clinical scheduling.
Comput. Ind. Eng., 2022

2021
Modeling and analysis of business process reengineering strategies for improving emergency department efficiency.
Simul., 2021

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

Predicting Demand for Air Taxi Urban Aviation Services using Machine Learning Algorithms.
CoRR, 2021

Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities.
CoRR, 2021

Adaptive neighborhood simulated annealing for sustainability-oriented single machine scheduling with deterioration effect.
Appl. Soft Comput., 2021

2020
Discovering Airline-Specific Business Intelligence from Online Passenger Reviews: An Unsupervised Text Analytics Approach.
CoRR, 2020

2019
A simulation-based evaluation of warehouse check-in strategies for improving inbound logistics operations.
Simul. Model. Pract. Theory, 2019

Community detection and influential node identification in complex networks using mathematical programming.
Expert Syst. Appl., 2019

Topic-based knowledge mining of online student reviews for strategic planning in universities.
Comput. Ind. Eng., 2019

2018
Optimizing outpatient appointment system using machine learning algorithms and scheduling rules: A prescriptive analytics framework.
Expert Syst. Appl., 2018

2017
Optimizing Student Team and Job Assignments for the Holy Family Academy.
Interfaces, 2017

2015
The AMEDD Uses Goal Programming to Optimize Workforce Planning Decisions.
Interfaces, 2015


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