Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Award

Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Award 

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:

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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.

πŸŽ“ Education

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

πŸ’Ό Work Experience

Academic & Research Experience

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

Industry Experience

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

πŸ† Achievements, Awards & Honors

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

Publication Top Notes:

Moving toward resiliency in health supply chain

CITED:8

A Novel Six-Dimensional Chimp Optimization Algorithmβ€”Deep Reinforcement Learning-Based Optimization Scheme for Reconfigurable Intelligent Surface-Assisted Energy Harvesting in β€¦

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

 

 

Mr. Joel Adams | Automation | Best Researcher Award

Mr. Joel Adams | Automation | Best Researcher Award 

Mr. Joel Adams, Florida International University, United States

Joel Adams is a robotics researcher and Ph.D. candidate in Mechanical Engineering at Florida International University, specializing in autonomous mobile and manipulator systems. With extensive experience in radiological surveillance, autonomous mission planning, and multi-robot coordination, he has developed innovative solutions integrating sensor technologies such as LiDAR, depth cameras, and IMUs. His expertise includes robotics middleware (ROS1, ROS2), simulation tools (Gazebo, PyBullet), and advanced programming in C++, Python, and MATLAB. As a Research Assistant at the Applied Research Center since 2019, he has contributed to cutting-edge projects in autonomous system development, multi-robot collaboration, and real-world testing of robotic platforms.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Joel Adams appears to be a strong candidate for the Best Researcher Award, particularly if the award recognizes contributions in robotics, autonomous systems, and applied research in radiological surveillance. His work aligns well with advanced robotics, AI-driven mission planning, and real-world applications in nuclear site monitoring.

πŸŽ“ Education

  • Florida International University
    • Ph.D. in Mechanical Engineering (Expected Summer 2025) 🎯 (GPA: 3.87)
    • Master of Science in Mechanical Engineering (Summer 2024) πŸ› οΈ (GPA: 3.87)
    • Bachelor of Science in Mechanical Engineering (Honors College) (Fall 2019) πŸ… (GPA: 3.72)
  • Miami Dade College
    • Associate in Arts Degree (Highest Honors) (Summer 2015) πŸ† (GPA: 3.95)

πŸ’Ό Work Experience

  • Applied Research Center, Florida International University (March 2019 – Present)
    Research Assistant
    • πŸš€ Developed autonomous systems for radiological surveillance in nuclear sites, integrating LiDAR, depth cameras, and IMUs.
    • 🧠 Designed multi-robot mission planning solutions using network bridges and behavior-tree-based task allocation.
    • πŸ› οΈ Conducted testing in simulation (Gazebo, PyBullet) and real-world robotic platforms for validation.

πŸ† Achievements, Awards & Honors

  • πŸŽ–οΈ Highest Honors Graduate – Miami Dade College
  • πŸ… Honors College Graduate – Florida International University
  • πŸ€– Developed autonomous systems for radiological surveillance, enhancing safety in nuclear environments
  • πŸ† Contributed to multi-robot coordination research, advancing mission planning strategies in robotics
  • πŸ… Published research contributions in robotics intelligence and autonomous system optimization

Publication Top Notes:

A Behavioral Robotics Approach to Radiation Mapping Using Adaptive Sampling