Kehinde Akinwolere | Artificial intelligence | Best Researcher Award

Mr. Kehinde Akinwolere | Artificial intelligence | Best Researcher Award

Ball State University, United States

Mr. Kehinde Akinwolere is a corporate lawyer and interdisciplinary researcher currently pursuing a Master’s degree in Information and Communication Sciences at Ball State University, USA, where he maintains a perfect GPA of 4.0. With a background in law (LL.B, Obafemi Awolowo University; BL, Nigerian Law School), he brings over six years of professional experience in legal advisory, corporate governance, and regulatory compliance.

Profile:

🎓 Academic Excellence:

  • 🎯 GPA: 4.0

  • 🧠 Currently pursuing a Master’s in Information and Communication Sciences at Ball State University (2024–2026)

  • ⚖️ Bachelor of Laws (LL.B) from Obafemi Awolowo University

  • 🎓 Licentiate Degree in Law (BL) from Nigerian Law School

🧩 Professional Experience Highlights:

  • 📢 Graduate Teaching Assistant – Ball State University (2024–Present)

  • ⚖️ Pre-Legal Counsel – A.P. Moller – Maersk, West Africa (2023–2024)

  • 🏛️ Corporate Governance Consultant – DCSL (formerly Deloitte Corporate Services Ltd) (2018–2023)

  • 🗣️ Corporate Communications Lead – DCSL (2018)

  • ⚖️ Legal Associate – Iyiola, Oyedepo & Co (2018)

📚 Research & Publication:

  • 🧾 MDPI Publication (2024):
    “Corporate Governance and Information Systems in a Data-Driven World”
    🔗 Read Article

💼 Core Skills:

  • 📊 Corporate Law & Governance

  • 📄 Legal Drafting & Research

  • 🔍 Risk Identification & Policy Development

  • 🗣️ Communication & Negotiation

  • 🧪 Data Analysis & Regulatory Strategy

🏅 Notable Attributes:

  • 🌐 Interdisciplinary thinker in law, technology, and communication

  • 🏆 Recognized for practical impact in legal consulting and governance reform

  • 📈 Strong academic and research promise in a data-driven regulatory landscape

Publication:

  • Text Classification: How Machine Learning Is Revolutionizing Text Categorization

Abdelrhman BASSIOUNY | Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Abdelrhman BASSIOUNY | Computer Science and Artificial Intelligence | Best Researcher Award

University of Bremen Germany

Abdelrhman Bassiouny is a passionate Egyptian robotics researcher specializing in marine robotics, autonomous systems, and AI-powered disassembly. With international experience across Germany, France, and Egypt, he combines technical mastery in robotics with a strong academic background. He thrives in hands-on innovation, contributing to cutting-edge projects from underwater VSLAM to robotic e-waste disassembly. 🌊🤖

Profile

Research Gate

Scopus

🎓 Education

Abdelrhman is currently completing his Erasmus Mundus Joint Master’s Degree in Marine & Maritime Intelligent Robotics (MIR), where he studied at Université de Toulon (France) and Universidad Jaume I (Spain). He graduated with honors in Mechatronics & Automation Engineering from Ain Shams University, Egypt. He also expanded his knowledge through specialized online courses in Deep Learning, Self-Driving Cars, and Project Management. 📘🌍
🔗 Master MIR Program
🔗 Ain Shams University

🛠️ Experience

Abdelrhman brings versatile research and teaching experience:

  • Master Thesis Intern at University of Bremen (Germany): Developed a query interface and machine learning pipeline for NEEMs robotics database.

  • Underwater VSLAM Intern at Laboratoire COSMER (France): Benchmarked SLAM algorithms using BlueROV in collaboration with IFREMER.

  • Research Assistant at Ain Shams University (Egypt): Led autonomous robotic disassembly projects, winning 3rd place in Robothon 2021.

  • Teaching Assistant at Ain Shams University: Taught ROS-based robotic control and supervised final-year projects.
    🌐 LinkedIn | 🌍 Personal Website

🔬 Research Interests

Abdelrhman’s research centers on:

  • Autonomous Robotics & Human-Robot Interaction 🤝

  • Symbolic Reasoning & Knowledge Representation 🧠

  • Underwater SLAM and Marine Robotics 🌊

  • E-waste Disassembly Automation using AI ♻️

  • ROS, TensorFlow, and Vision-based Robotics 📷

🏆 Awards

  • 🥇 Best Scientific Methodology AwardRoboCup MSL 2022 (Thailand)
    RoboCup 2022 History

  • 🥈 Runner-UpMIR Championship – Guerledus Challenge 2022
    Challenge Info

  • 🥉 3rd Place + Lightning Speed AwardRobothon Grand Challenge 2021 (TUM, Germany)
    Robothon Video

📚 Publications Top Notes: 

Prompt: Publications with hyperlinks, published year, journal (if applicable), and citation details in paragraph form.

Abdelrhman has authored two impactful research publications related to robotic disassembly of electronic waste:

“Comparison of Different Computer Vision Approaches for E-waste Components Detection to Automate E-waste Disassembly” (2021) – This paper evaluates vision-based algorithms for component detection, supporting more efficient and sustainable e-waste recycling.
🔗 View Publication
📈 Cited by: Google Scholar results

“Autonomous Non-Destructive Assembly/Disassembly of Electronic Components using A Robotic Arm” (2021) – Introduced a robotic system for semi-destructive disassembly using ROS and vision systems.
🔗 View Publication
📈 Cited by: Google Scholar results