Panos Pardalos

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Distinguished Emeritus Professor

University of Florida

United States

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Dr. Panos Pardalos is a Distinguished Emeritus Professor at the University of Florida, USA. His research focuses on operations research and data science, with recent contributions in areas such as multi-view data learning, sensor network coverage, and supply chain resilience. He has published several articles addressing complex problems, including the nurse rostering problem and vehicle routing challenges.

Recent Grants

Grant: Close

NRI: INT: COLLAB: High Throughput Multi-Robot Weed Management for Specialty Crops

Open Date: 2020-04-01

Close Date: 2024-03-31

Grant: Close

ISE Collaborative Research Seed Funding Program

Open Date: 2019-04-01

Close Date: 2021-05-15

Grant: Close

A Probabilistic Model In The Study of Match-Fixing Schemes For Multi-Contestant Games

Open Date: 2014-09-01

Close Date: 2017-08-30

Articles (21)

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2022

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2022

Collaborators (7)

PABLO SAN SEGUNDO CARRILLO

Associate Professor

Universidad Politécnica de Madrid

SPAIN

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Michael Römer

Bielefeld University

GERMANY

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Alexandre Dolgui

Head

IMT Atlantique

FRANCE

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stefano cagnoni

Associate Professor

Università degli Studi di Pavia

ITALY

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Stefan Gold

Professor and Chair of Sustainability Management

University of Kassel

GERMANY

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Michel FATHI

Assistant Professor

University of North Texas

UNITED STATES

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David Álvarez

Associate professor

Universidad Politécnica de Madrid

SPAIN

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Panos Pardalos

Research Interests

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About

Recent Grants

Articles (21)

Complementary label learning with multi-view data and a semi-supervised labeling mechanism

A simplicial homology approach for assessing and rectifying coverage of sensor networks for improved crop management

A New Approximation Algorithm for Minimum-Weight (1,m)–Connected Dominating Set

A Computational Study of the Tool Replacement Problem

An accelerated benders decomposition algorithm for the solution of the multi-trip time-dependent vehicle routing problem with time windows

Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis

An Introduction to the Applications of Operations Research and Data Science in Disrupting Illicit Markets

Distributionally robust joint chance-constrained programming: Wasserstein metric and second-order moment constraints

A branch-and-price approach for the nurse rostering problem with multiple units

Instance-wise multi-view visual fusion for zero-shot learning

Code and Data Repository for A New Approximation Algorithm for Minimum-Weight (1,m)–Connected Dominating Set

Scheduling in Industrial environment toward future: insights from Jean-Marie Proth

An efficient particle swarm optimization with evolutionary multitasking for stochastic area coverage of heterogeneous sensors

Traffic-Driven Epidemic Spreading in Networks: Considering the Transition of Infection From Being Mild to Severe

CliSAT: A new exact algorithm for hard maximum clique problems

Portfolio optimization using robust mean absolute deviation model: Wasserstein metric approach

Multi-Objective Optimization of Transport Processes on Complex Networks

Training generalizable quantized deep neural nets

Collaborative Planning in a Two-Stage Supply Chain: Transparent Coordination, Distributed Response, Integrated Optimization

A novel mixed integer programming model for freight train travel time estimation

Lazy Network: A Word Embedding-Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models

Collaborators (7)

PABLO SAN SEGUNDO CARRILLO

Michael Römer

Alexandre Dolgui

stefano cagnoni

Stefan Gold

Michel FATHI

David Álvarez

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