Mr. Joel Adams | Automation | Best Researcher Award

Posted on by Global Sensor Awards

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.

🎓 Education

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

💼 Work Experience

  • Applied Research Center, Florida International University (March 2019 – Present)
    Research Assistant
    • 🚀 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.
    • 🛠️ Conducted testing in simulation (Gazebo, PyBullet) and real-world robotic platforms for validation.

🏆 Achievements, Awards & Honors

  • 🎖️ Highest Honors Graduate – Miami Dade College
  • 🏅 Honors College Graduate – Florida International University
  • 🤖 Developed autonomous systems for radiological surveillance, enhancing safety in nuclear environments
  • 🏆 Contributed to multi-robot coordination research, advancing mission planning strategies in robotics
  • 🏅 Published research contributions in robotics intelligence and autonomous system optimization

Publication Top Notes:

A Behavioral Robotics Approach to Radiation Mapping Using Adaptive Sampling

Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher Award 

Dr. Jany Shabu, Sathyabama Institute of Science & Technology, India

Dr. S.L. Jany Shabu is an accomplished Associate Professor in the Department of Computer Science Engineering at Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. With a Ph.D. in Image Fusion, her research focuses on multimodal image fusion using intelligent optimization techniques, particularly in the context of brain tumor detection. Dr. Shabu has a strong academic background, holding both M.Tech and MS degrees in Information Technology, and has published extensively, with 58 papers indexed in Scopus and four in WoS. She has received multiple accolades for her contributions to research and education, including cash awards for publishing in high-impact journals and the prestigious NPTEL Discipline Star Certificate. As an active member of the National Institute for Technical Training and Skill Development, Dr. Shabu is dedicated to advancing the field of computer science through her research, teaching, and professional engagement. Her innovative projects, including a Safety Stick for Elders, and her patents in smart traffic control and gesture-based systems, exemplify her commitment to leveraging technology for societal benefit. She has also authored several books on machine learning, cloud computing, and data analytics, further solidifying her reputation as a thought leader in her field. With a robust online presence, including profiles on ORCID and Scopus, Dr. Shabu continues to contribute to academic excellence and innovation in computer science.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. S.L. Jany Shabu is a commendable candidate for the Best Researcher Award, recognized for her significant contributions to computer science engineering and her innovative research in image fusion and optimization techniques.

Education 🎓

  • Ph.D. in Image Fusion
    Sathyabama Institute of Science and Technology
    Thesis Title: Multimodal Image Fusion using Intelligent Optimization Techniques with Brain Tumor Detection
  • M.Tech (IT) in Information Technology
    Sathyabama Institute of Science and Technology
    Graduated with First Class
  • M.S. (IT) in Information Technology
    Manonmaniam Sundaranar University
    Graduated with First Class

Work Experience 💼

  • Current Position: Associate Professor, Computer Science Engineering
    Sathyabama Institute of Science and Technology

Achievements 🌟

  • Seed Funding:
    Project Title: Safety Stick for Elders
    Amount: ₹300,000
    Period: Oct 2021 – June 2022
    Role: Co Principal Investigator
  • Patent Holder:
    1. SMART TRAFFIC CONTROL SYSTEM USING IOT BASED MONITORING SYSTEM
      Application No: 201741038384 – Published
    2. GARMENT STEAMER MANAGEMENT SYSTEM
      Application No: 367890-001 – Published
    3. GESTURE BASED ELECTRONIC GADGET OPERATING SYSTEM
      Application No: 202341088351 A – Published
  • Reviewer:
    • Journal of Scientific Research and Reports
    • Journal of Pharmaceutical Research International
    • International Conference on Computational Intelligence, Networks & Security
    • Book Chapter for CRC PRESS Taylor & Francis Group

Awards and Honors 🏆

  • Cash Award for Publishing Paper in High Impact WOS Journal
    Sathyabama Institute of Science and Technology (Teachers Day 2022 & 2024)
  • NPTEL Discipline Star Certificate
  • Disciplinarian Award
    Sathyabama Institute of Science & Technology, Chennai

Publication Top Notes:

DeepExuDetectNet: Diabetic retinopathy diagnosis: Blood vessel segmentation and exudates disease detection in fundus images

A swarm intelligence optimization for lung cancer detection from RNA-seq gene expression data using convolutional neural networks

A novel framework for entertainment robots in personalized elderly care using adaptive emotional resonance technologies

An Improved Adaptive Neuro-fuzzy Inference Framework for Lung Cancer Detection and Prediction on Internet of Medical Things Platform

Rainfall prediction using machine learning techniques

Online product review using sentiment analysis