Mumtaz Karatas

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Associate Professor

Wright State University

United States

Research Interests

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About

Dr. Mumtaz Karatas is an Associate Professor at Wright State University in the United States. His research areas encompass optimization techniques in various fields including underwater surveillance, energy systems, and healthcare resource management. He has contributed to a number of recent articles focusing on route optimization, energy storage systems, and intelligent human activity recognition, among other topics.

Recent Grants

Grant: Close

Improving the Production Efficiency of Wide Area Nano Glass Coating Process with Artificial Intelligence

Open Date: 2022-10-01

Close Date: 2024-04-01

Grant: Close

Sea Surface Cleaning via Autonomous Unmanned Surface and Aerial Vehicles that Use Innovative Methodologies

Open Date: 2022-01-01

Close Date: 2023-12-01

Grant: Close

Location and Routing Optimization of Armed UAVs and Carrier Platforms

Open Date: 2021-11-01

Close Date: 2022-11-01

Grant: Close

An Optimization and Artificial Intelligence Based Cooperative Mucilage Removal Approach via Autonomous Unmanned Surface and Aerial Vehicles

Open Date: 2021-10-01

Close Date: 2022-09-01

Grant: Close

Determining Temporary Earthquake Shelter and Humanitarian Logistics Warehouse Locations for Istanbul

Open Date: 2021-08-01

Close Date: 2023-04-01

Articles (15)

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2025

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2023

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2023

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2023

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2023

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2023

Collaborators (1)

Çağatay Iris

A/Prof (Lecturer)

University of Liverpool

UNITED KINGDOM

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Mumtaz Karatas

Research Interests

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About

Recent Grants

Articles (15)

Route Optimization for Active Sonar in Underwater Surveillance

Optimal sizing and location of energy storage systems for transmission grids connected to wind farms

Ant Colony Optimization for solving large-scale bi-level network design problems

Energy storage and transmission line design for an island system with renewable power

Intelligent human activity recognition for healthcare digital twin

A survey of shipping line Container Stowage Planning problems

Location and routing of armed Unmanned Aerial Vehicles and carrier platforms against mobile targets

A robust multi-objective model for healthcare resource management and location planning during pandemics

A collaborative decision support framework for sustainable cargo composition in container shipping services

Data analytics during pandemics: a transportation and location planning perspective

Linear and piecewise linear formulations for a hierarchical facility location and sizing problem

A semi-desirable location and sizing model for hydrogen fuel storage areas: A case study for Istanbul

Editorial for the Special Issue on Micro Air Vehicles

Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19

Optimization of Air Defense System Deployment Against Reconnaissance Drone Swarms

Collaborators (1)

Çağatay Iris

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