Edgar Gutierrez-Franco (0000-0002-8128-5356)

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Dr. Edgar Gutierrez-Franco, is a Research Affiliate at the Massachusetts Institute of Technology, MIT Center for Transportation and Logistics, CTL. He also serves since 2009 as a Research Affiliate at the Center for Latin America Logistics Innovation (CLI) part of the MIT Global SCALE network and is Fulbright Scholar since 2014. Dr. Edgar has over fifteen years of experience in data and model-driven decision-making solutions to support business operations. His specialties are in Supply Chain Management, Omnichannel Retail Logistics Operations, Applied Optimization and Machine Learning. He has experience in the consultancy, retail, and beverage industry and in academia (LATAM and USA) in projects and training activities related with Operations Research and Supply Chain Management. His educational background includes a Bachelor of Science in Industrial Engineering from the University of La Sabana, an MSc. in Industrial Engineering (Operations Research and Statistics) from the University of Los Andes (2008), and a Ph.D. in Industrial Engineering and Management Systems from the University of Central Florida (2019). During his time as a Visiting Scholar at the Center for Transportation and Logistics (2009-2010), he participated in projects of MIT CTL’s corporate partners in Supply Chain Innovation in Emerging Markets and Carbon-Efficient Supply Chains.

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Massachusetts Institute of Technology: Cambridge, MA, US

2022-09-01 to present | Research Affiliate (Center for Transportation and Logistics)

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Edgar Gutierrez-Franco

https://orcid.org/0000-0002-8128-5356

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Employment (3)

Massachusetts Institute of Technology: Cambridge, MA, US

Massachusetts Institute of Technology: Cambridge Massachusetts US, Massachusetts, US

University of Central Florida: Orlando, FL, US

Education and qualifications (1)

University of Central Florida: Orlando, FL, US

Professional activities (3)

Production & Operations Management Society: Bogota, Colombia, CO

Institute for Operations Research and the Management Sciences: Catonsville, Maryland, US

Center for Latin-American Logistics Innovation -CLI: Bogota, Colombia, CO

Funding (1)

Fulbright Scholar

Works (41)

Enhancing Last-Mile Delivery: Social Media Insights and Deep Learning Applications

A Holistic Approach to Power Systems Using Innovative Machine Learning and System Dynamics

A Framework for Urban Last-Mile Delivery Traffic Forecasting: An In-Depth Review of Social Media Analytics and Deep Learning Techniques

Out of the Box: Exploring Cardboard Returnability in Nanostore Supply Chains

Machine Learning for Short-Term Load Forecasting in Smart Grids

Analysis of sentiment in tweets addressed to a single domain-specific Twitter account: Comparison of model performance and explainability of predictions

Automated Classification of Evidence of Respect in the Communication through Twitter

Automated Detection of Leadership Qualities Using Textual Data at the Message Level

Text Guide: Improving the quality of long text classification by a text selection method based on feature importance

Text Guide: Improving the Quality of Long Text Classification by a Text Selection Method Based on Feature Importance

Revisiting Text Guide, a Truncation Method for Long Text Classification

Engineering Analytics

Analysis of Human Behavior by Mining Textual Data: Current Research Topics and Analytical Techniques

Multi-Objective Optimization to Support the Design of a Sustainable Supply Chain for the Generation of Biofuels from Forest Waste

Data-Driven Methodology to Support Long-Lasting Logistics and Decision Making for Urban Last-Mile Operations

A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter® in the United States: A Natural Language Processing Approach

Analysis model of thermal coal price using machine learning and delphi

Identification and Prediction of Human Behavior through Mining of Unstructured Textual Data

Evidence of Chaos in Human Emotions Expressed in Tweets.

Design of Distributed Discrete-Event Simulation Systems Using Deep Belief Networks

Predicting the Volume of Response to Tweets Posted by a Single Twitter Account

Comparing the Quality and Speed of Sentence Classification with Modern Language Models

Building Multiple Resolution Modeling Systems Using the High-Level Architecture

The complexity of human performance variability on watch standing task

Energy storage and its implications in the future power grid

Learning the best scheduling policies in manufacturing

Agent-based modeling simulation and its application to ecommerce

Artificial intelligence: Advances in research and applications

Business modeling based on internet of things: A case study of predictive maintenance software using ABS model

Predictive analytics for thermal coal prices using neural networks and regression trees

Predictive analytics using genetic programming

Preface

Simulation optimization using a hybrid scheme with particle swarm optimization for a manufacturing supply chain

Multi resolution modeling

Conceptual framework for measuring carbon footprint in supply chains

Optimization model applied to Colombian agro-industry: integrated logistics plan for the export of fresh pineapple guava

Modeling reverse logistics process in the agro-industrial sector: The case of the palm oil supply chain

Measuring Carbon Footprint in an Agro-industrial Supply Network

Project scheduling with limited resources using a genetic algorithm

On the Analysis of Strategic and Operational Issues of Reverse Logistics Practices in Colombia: Presentation of Some Case Studies

On the analysis of strategic and operational issues of reverse logisticspractices in Colombia: Presentation of some case studies

Peer review (2 reviews for 2 publications/grants)