Guangxuan Song | Neural Networks | Best Researcher Award

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Feudjio Ghislain | Deep Learning | Best Research Article Award

Published on by TOT Awards

Mr. Feudjio Ghislain | Deep Learning | Best Research Article Award

Academician at University of Dschang, Cameroon.

Feudjio Ghislain, born on March 24, 1986, in Batcham, Cameroon, is a dedicated educator and researcher in electronics and applied physics. He is a Technical and Professional Education Teacher at Government Technical High School of Bangou and a Part-time Lecturer at Fotso Victor University Institute of Technology, University of Dschang. With a strong background in electronics, he has mentored students in various technical domains and supervised numerous academic projects. His research focuses on image classification, segmentation, deep learning, and machine learning. Ghislain has actively participated in multiple academic conferences and seminars. His passion for education, research, and technological advancement drives his contributions to academia and industry. Beyond academia, he is actively involved in community development initiatives and enjoys reading, music, and sports.

Professional Profiles📖

Scopus 

Education 🎓

Feudjio Ghislain is currently in his third year of a Doctorate/Ph.D. in Physics, specializing in Electronics at the University of Dschang, Cameroon. He holds a Master of Science in Physics (2019–2020) from the same university, where he specialized in Electronics with a ‘Good’ grade. His academic journey includes a DIPET II (2011) from HTTTC Douala, University of Douala, specializing in Electronics, a Bachelor of Science in Physics (2007) from the University of Dschang with a ‘Fairly good’ grade, and a Baccalaureate in Science (2004) from Lycée de Batcham. His academic progression showcases a consistent focus on electronics and applied physics, equipping him with in-depth expertise in his field.

work Experience💼

Feudjio Ghislain has been a part-time and professional teacher at the Fotso Victor University Institute of Technology (IUT-FV of Bandjoun) at the University of Dschang since 2018, teaching courses in Electrotechnics, Electronic Systems Maintenance, and Electrical Engineering. His subjects range from electronic construction to telecommunications and microcontroller applications. Since 2012, he has also served as an Electronics Teacher at the Government Technical High School of Bangou, teaching digital circuits, solar energy, and maintenance troubleshooting. His responsibilities extend to supervising final-year projects and serving on examination committees. Between 2020 and 2022, he was a part-time lecturer at the Evangelical University of Cameroon, teaching Biomedical Engineering. His expertise in teaching spans various educational levels, contributing significantly to the professional and technical development of students.

Research Focus

Feudjio Ghislain‘s research interests encompass image classification and segmentation, deep learning, and machine learning. His Ph.D. research focuses on the real-time analysis of medical images using second-generation wavelets, under the guidance of Professor TCHIOTSOP Daniel at the University of Dschang. His Master’s thesis explored embedded image processing systems for medical diagnostics, while his DIPET II research delved into spectral texture analysis using wavelets. His projects reflect a strong inclination toward practical and impactful applications of artificial intelligence in medical imaging and electronics. Through participation in conferences and research collaborations, he remains at the forefront of innovation in AI-based image processing.

Awards & Honors🏆 

Feudjio Ghislain has been recognized for his outstanding contributions to technical education and research. His dedication to advancing electronics education has earned him several professional affiliations, including membership in the SciPinion Scientific Community since 2024. He has also played a significant role in academic committees, acting as a referee for esteemed international journals like Heliyon and Computers in Biology and Medicine. His influence extends beyond the classroom, where he has contributed to organizing and evaluating national examinations. His research and teaching contributions have solidified his reputation as a committed educator and researcher in applied electronics and image processing.

Conclusion✅

Feudjio Ghislain is a strong candidate for the Best Researcher Article Award due to his expertise in electronics, image processing, and machine learning, alongside his teaching, peer-review, and project supervision roles. However, expanding his publication record in indexed journals, securing research funding, and increasing global collaborations would further strengthen his application for such a prestigious award.

Publications to Noted 📚

Title: “An improved semi-supervised segmentation of the retinal vasculature using curvelet-based contrast adjustment and generalized linear model”

Authors: Feudjio Ghislain​, Saha Tchinda Beaudelaire​, Tchiotsop Daniel

Kil soo Lee | Intelligent Control | Best Researcher Award

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Dr. Kil soo Lee | Intelligent Control | Best Researcher Award

Principal Researcher at Korea Construction Equipment Technology Institute/Automation System Design Research Group , South Korea

Dr. Kilsoo Lee is a distinguished researcher in mechanical engineering, currently serving as the Group Leader and Principal Researcher at the Korea Construction Equipment Technology Institute (KOCETI). His expertise spans intelligent construction machinery, robotics, and autonomous vehicle technology. Dr. Lee has played a pivotal role in numerous research projects, leading innovations in electric and construction machinery. He has also been a vital contributor to international conferences and professional journals. A dedicated professional, he is a member of the Korean Society of Mechanical Engineers, the Institute of Control, Robotics and Systems, and the Korean Institute of Navigation and Port Research. He has received multiple accolades for his contributions, including awards at autonomous vehicle competitions. His research aims to enhance intelligent construction equipment, furthering advancements in automation and safety technologies.

professional profiles📖

Scopus Profile

Education 🎓

Dr. Kilsoo Lee obtained his PhD in Engineering from Pusan National University, where he specialized in mechanical engineering and automation systems. His academic journey began with undergraduate and master’s degrees in mechanical engineering, during which he developed a strong foundation in robotics and control systems. He later worked as a junior researcher at the Research Institute of Mechanical Technology (RIMT) and the Mechanical, Architectural, and Traffic Engineering Research Information Center (MATERIC). His academic training has equipped him with expertise in intelligent machinery and vehicle automation. Through his doctoral studies, Dr. Lee focused on the integration of advanced control mechanisms, laying the groundwork for his future contributions in autonomous and intelligent construction equipment. His educational background has been instrumental in shaping his career as a leader in automation research and system design.

work Experience💼

Dr. Lee has accumulated extensive experience in engineering research and leadership. Since 2014, he has been leading research at KOCETI’s Automation System Design Research Group, focusing on construction and agricultural machinery innovations. Prior to this, he served as a postdoctoral researcher at Pusan National University (2013–2014), where he advanced research on autonomous vehicle technologies. From 2010 to 2013, he was the CEO and CTO of e-Metro Technology, Inc., where he spearheaded projects in intelligent transportation systems. His involvement in major research projects includes developing machine control kits for excavators and autonomous control mechanisms for construction machinery. Dr. Lee’s expertise has also been recognized in the defense sector, where he has contributed to unmanned vehicle technology. His career reflects a commitment to advancing intelligent and automated engineering solutions.

Awards and Honors 

Dr. Kilsoo Lee has received multiple awards recognizing his excellence in engineering research and technological innovation. Notably, he led Pusan National University’s team at the 1st and 2nd Autonomous Vehicle Competitions, securing the Challenge Award for successfully completing all courses. His work in developing intelligent construction machinery has earned him recognition in industry and academia. He has also been honored for his contributions to automation and robotics research through awards from professional organizations, including the Korean Society of Mechanical Engineers. His patents and research contributions have been acknowledged as significant advancements in safety and control mechanisms for machinery. Additionally, his work in autonomous vehicle technology has been cited in international conferences, further solidifying his reputation as a leader in the field. His achievements continue to drive advancements in automation and intelligent machinery.

Research Focus

Dr. Lee’s research focuses on the development of intelligent control systems for construction machinery, electric vehicles, and autonomous systems. His projects aim to enhance efficiency, safety, and automation in industrial machinery. A key area of his research is the application of artificial intelligence in machine control, particularly for excavators and autonomous vehicles. He has contributed to the design of robust lateral controllers and functional safety systems for unmanned vehicles. His work also extends to the integration of LiDAR-based navigation for transport robots, improving object detection and autonomous movement capabilities. Through his research, Dr. Lee aims to advance automation technologies that optimize machinery performance while ensuring operational safety. His efforts in developing novel control methodologies contribute significantly to the evolving landscape of intelligent engineering solutions.

 

Conclusion✅

Dr. Kilsoo Lee is a highly qualified and impactful researcher with significant contributions to automation, intelligent construction systems, and control engineering. His leadership, strong publication record, patents, and national project success make him a strong contender for the Best Researcher Award. By expanding international collaborations, industry partnerships, and citation visibility, he can further solidify his global reputation in the field.

 

📚Publications to Noted

 

Study on the Near-Distance Object-Following Performance of a 4WD Crop Transport Robot: Application of 2D LiDAR and Particle Filter

Authors: Eun-Seong Pak, Byeong-Hun Kim, Kil-Soo Lee, Yong-Chul Cha, Hwa-Young Kim

Year: 2025

“On the Synthesis of an Underwater Ship Hull Cleaning Robot System”

Authors: Man Hyung Lee, Kil Soo Lee, Won Chul Park, Seok Hee Lee, Sinpyo Hong, Hyung Gyu Park, Jae Won Choi, Ho Hwan Chun

Year: 2012

“Lateral Controller Design for an Unmanned Vehicle via Kalman Filtering”

Authors: Man Hyung Lee, Kil Soo Lee, Hyung Gyu Park, Young Chul Cha, Dong Jin Kim, Byung Il Kim, Sinpyo Hong, Ho Hwan Chun

Year: 2012

“Implementation of Electric Power Assisted Steering System via Hardware-In-Loop-Simulation System”

Authors: Kil Soo Lee, Hyung Gyu Park, Myoung Kook Kim, Jung Hyen Park, Man Hyung Lee

Year: 2011

“4WS Unmanned Vehicle Lateral Control Using PUS and Gyro Coupled by Kalman Filtering”

Authors: Kil Soo Lee, Hyung Gyu Park, Man Hyung Lee

Year: 2011

“Robust Lateral Controller for an Unmanned Vehicle via a System Identification Method”

Authors: Man Hyung Lee, Kil Soo Lee, Hyung Gyu Park, Ho Hwan Chun, Jae Heon Ryu

Year: 2010