Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Award

Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Awardย 

Mr. Mehrdad Shoeibi, Worcester Polytechnic Institute, United States

Mehrdad Shoeibi is an AI specialist and researcher with expertise in industrial engineering, machine learning, and generative AI, particularly in healthcare, data analytics, and optimization. He is currently pursuing a Ph.D. in Business Administration and Management (IT) at Worcester Polytechnic Institute (WPI) and serves as a Research Assistant for the SmartWAnDS Project, focusing on AI applications in chronic wound analysis. He holds an M.Sc. in Industrial Engineering from the Institute for Management and Planning Studies (IMPS) and a B.Sc. from Islamic Azad University (IAU). Mehrdad has extensive experience in project control management and optimization, having worked in the construction and engineering industries. His technical skills include Python, AI/ML frameworks, and various business intelligence and project management tools.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Suitability of Mehrdad Shoeibi for the Best Researcher Award

Mehrdad Shoeibi demonstrates a strong research background in Generative AI, Machine Learning, Healthcare Applications, and Optimization, which aligns with cutting-edge advancements in AI. His ongoing Ph.D. at Worcester Polytechnic Institute (WPI) and previous degrees in Industrial Engineering establish a solid academic foundation.

๐ŸŽ“ Education

  • Doctor of Philosophy, Business Administration and Management (IT) (2023 โ€“ Present)
    ๐Ÿ“ Worcester Polytechnic Institute (WPI) | GPA: 3.80
  • Master of Science, Industrial Engineering (2018 โ€“ 2021)
    ๐Ÿ“ Institute for Management and Planning Studies (IMPS) | GPA: 3.41/4
  • Bachelor of Science, Industrial Engineering (2010 โ€“ 2014)
    ๐Ÿ“ Islamic Azad University (IAU) | GPA: 3.11/4

๐Ÿ’ผ Work Experience

Academic & Research Experience

  • Research Assistant โ€“ SmartWAnDS Project, WPI (Aug 2023 โ€“ Present)
    ๐Ÿ”น Conducting systematic reviews on generative AI applications in healthcare.
    ๐Ÿ”น Developing tools for chronic wound image annotation and classification.
  • Teaching Assistant โ€“ Game Theory (Feb 2021 โ€“ Jun 2021)
    ๐Ÿ“ Institute for Management and Planning Studies (IMPS)
  • Teaching Assistant โ€“ Energy Pricing (Feb 2019 โ€“ Jun 2019)
    ๐Ÿ“ Institute for Management and Planning Studies (IMPS)

Industry Experience

  • Project Control Manager โ€“ Aalam Architectural & Structural Consultants (Dec 2019 โ€“ Apr 2023)
    ๐Ÿ”น Managed BIM implementation.
    ๐Ÿ”น Coordinated interdisciplinary efforts.
    ๐Ÿ”น Cost estimation and project scheduling.
    ๐Ÿ”น Process management and optimization.
  • Project Control Specialist โ€“ Payasazeh Pasargad (Jun 2018 โ€“ Dec 2019)
    ๐Ÿ”น Provided value engineering recommendations.
    ๐Ÿ”น Coordinated construction activities.
    ๐Ÿ”น Prepared project progress reports.
  • Project Control Engineer โ€“ Aalam Architectural & Structural Consultants (Jan 2013 โ€“ Jul 2015)

๐Ÿ† Achievements, Awards & Honors

  • ๐Ÿ“œ Published research in Generative AI applications in healthcare.
  • ๐Ÿ… Key contributor to the SmartWAnDS Project at WPI.
  • ๐ŸŽ– Expertise in machine learning, optimization, and AI-driven healthcare solutions.
  • ๐Ÿ† Experience in business intelligence and operations research.

Publicationย Top Notes:

Moving toward resiliency in health supply chain

CITED:8

A Novel Six-Dimensional Chimp Optimization Algorithmโ€”Deep Reinforcement Learning-Based Optimization Scheme for Reconfigurable Intelligent Surface-Assisted Energy Harvesting inย โ€ฆ

CITED:1

Improved IChOA-Based Reinforcement Learning for Secrecy Rate Optimization in Smart Grid Communications.

CITED:1

Energy-Efficient and Secure Double RIS-Aided Wireless Sensor Networks: A QoS-Aware Fuzzy Deep Reinforcement Learning Approach

CITED:0

5DGWO-GAN: A Novel Five-Dimensional Gray Wolf Optimizer for Generative Adversarial Network-Enabled Intrusion Detection in IoT Systems.

CITED:0

 

 

Best Sensor for Smart Cities

Introduction Best Sensor for Smart Cities

Welcome to the Best Sensor for Smart Cities Award, recognizing innovative sensor technologies that contribute to the development of smarter and more sustainable cities.

Award Eligibility:

This award is open to individuals, teams, and organizations worldwide who have developed sensor technologies specifically designed for use in smart city applications. There are no age limits or specific qualifications required to apply. Publications related to the development or application of the sensor technology are encouraged but not mandatory.

Requirements:

Applicants must submit a detailed description of their sensor technology, including its design, functionality, and potential impact on smart city development. Additionally, applicants should provide any relevant supporting materials, such as videos, images, or technical documentation.

Evaluation Criteria

Submissions will be evaluated based on the level of innovation, practicality, and potential impact of the sensor technology on smart city development.

Submission Guidelines:

Submissions should be sent via email to awards@bestsensorforsmartcities.com by the deadline specified on the website. Please include “Best Sensor for Smart Cities Award Submission” in the subject line.

Recognition:

Winners of the Best Sensor for Smart Cities Award will receive a cash prize, a certificate of recognition, and media coverage highlighting their achievement.

Community Impact:

The Best Sensor for Smart Cities Award aims to promote the use of sensor technologies in smart city development, ultimately improving quality of life and sustainability in urban areas.

Biography:

The award committee is comprised of experts in the fields of sensor technology and smart city development who are dedicated to recognizing and promoting excellence in this area.

Abstract and Supporting Files:

In addition to the application form, applicants should submit an abstract of their sensor technology and any supporting files that may help illustrate its functionality and potential impact.