MD RAHATUL ISLAM | Computer Vision| Young Scientist Award

Mr. MD RAHATUL ISLAM | Computer Vision| Young Scientist Award

Mr at Kyushu Institute of Technology, Japan

Md. Rahatul Islam is a Ph.D. student specializing in Robotics and Computer Vision at Kyushu Institute of Technology, Fukuoka, Japan. With a solid academic foundation in Electrical and Electronic Engineering from the Canadian University of Bangladesh, he pursued a Master’s in Human Intelligence Systems Engineering under the MEXT scholarship. His research expertise spans robotics, AI, computer vision, and image processing. Rahatul has contributed significantly as a research assistant in both Japan and Bangladesh, enhancing his practical skills in automation, control technology, and simulation tools. Beyond academics, he has demonstrated leadership by organizing robotics workshops, hosting international events, and founding a robotics club. A bronze medalist in the World Youth Invention and Innovation Award, he is committed to solving real-world problems through technology. Fluent in Bangla and proficient in English, Rahatul brings a global perspective to innovation in robotics and artificial intelligence.

 

Profile

Scopus

Orcid

Scholar

Education 🎓

Ph.D. (Ongoing): Life Science and Systems Engineering, Kyushu Institute of Technology, Japan (Oct 2024 – Present). M.Sc.: Human Intelligence Systems Engineering, Kyushu Institute of Technology, Japan (Oct 2022 – Sep 2024), CGPA 3.431/4.0. B.Sc.: Electrical and Electronic Engineering, Canadian University of Bangladesh (Oct 2016 – Oct 2020), CGPA 3.89/4.0. Higher Secondary Certificate: Science, Matuil Abdul Latif Bhuiyan College, Bangladesh (2013–2015), CGPA 4.58/5.0. Secondary School Certificate: Science, Rais Nagar High School, Bangladesh (2007–2012), CGPA 4.81/5.0.

 Experience 💼

Research Assistant (Oct 2024–Present): Kyushu Institute of Technology, Japan. Focused on robotics and AI, contributing to advanced research projects in computer vision. Research Assistant (Oct 2019–Aug 2022): Canadian University of Bangladesh. Engaged in engineering simulations and AI-driven control systems. Organizer & Trainer: Conducted nationwide robotics training programs, mentoring over 1,000 students in Bangladesh. Former President (2018–2020): CUB Robotics Club, spearheading innovative projects and events.

Awards and Honors 🏆

Bronze Medal: World Youth Invention and Innovation Award (2021). Recognized for designing a smart social distancing system. MEXT Scholar: Japanese Government Scholarship (2022). Leadership Excellence: Organized NASA’s “Space Exploration” program (2020). Workshop Funding: Secured resources to train students across Bangladesh in robotics.

Research Focus 🔍

Md. Rahatul Islam’s research spans robotics, computer vision, and artificial intelligence, with a focus on applying advanced algorithms to automation and control systems. His Ph.D. investigates life science applications in robotics, emphasizing human intelligence systems. He leverages tools like OpenCV and MATLAB for image processing and decision-making systems. Past projects include designing smart systems for social distancing and AI-driven robotics for practical applications. His work integrates cutting-edge AI methods into real-world challenges, pushing the boundaries of robotics and intelligent automation.

Conclusion

Md. Rahatul Islam’s achievements in robotics and AI, combined with his leadership experience and innovative mindset, make him a promising candidate for the Young Scientist Award. His dedication to advancing technology and mentoring others reflects his potential for significant contributions to his field. With continued development in publishing and technical skill enhancement, he is well-positioned to achieve even greater impact as a young scientist.

Publications 📚

      1. Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation
        Authors: M.S. Sanim, K.M. Hasan, M.M. Alam, M.A.A. Walid, M.R. Islam
        Year: 2023

       

      1. Real Time-Based Face Recognition, Tracking, Counting, and Calculation of Spent Time of Person Using OpenCV and Centroid Tracker Algorithms
        Authors: M.R. Islam, K. Horio
        Year: 2023

       

      1. Prediction of Dementia Using SMOTE Based Oversampling and Stacking Classifier
        Authors: M.S. Sanim, M.R. Islam, S. Rahman, R. Afzal, K.M. Hasan
        Year: 2022

       

      1. LIME-based Explainable AI Models for Predicting Disease from Patient’s Symptoms
        Authors: A. Saha, E.J. Bristy, M.R. Islam, R. Afzal, S.A. Ridita
        Year: 2023

       

      1. COV-SSDS: Design and Construction of Automatic Social Distancing System to Minimize COVID-19 Infection
        Authors: M.R. Islam, R. Afzal, Assaduzzaman, Ferdib-Al-Islam, J. Majumder
        Year: 2022

       

      1. Jumping Behavior Analysis after Identification of Daycare Children’s Activities utilizing YOLOv8 Algorithm
        Authors: T. Bisla, R. Shukla, M. Dhawan, M.R. Islam, K. Horio
        Year: 2024

       

      1. Kid Activity Recognition: A Comprehensive Study of Kid Activity Recognition with Monitoring Activity Level Using YOLOv8s Algorithms
        Authors: T. Bisla, R. Shukla, M. Dhawan, M.R. Islam, T. Koyasu, K. Teramoto, …
        Year: 2024

       

      1. Identification of Human Activity by Utilizing YOLOv5s Approaches
        Authors: M.R. Islam, K. Horio
        Year: 2024

       

      1. Localization of Dengue Virus Likelihood Using Image Processing Technique
        Authors: M.M. Hosen, M.R. Islam, F. Tabassum, S.T. Tonni, M.M.N. Noor, S. Rahman
        Year: 2024

       

      1. A Comprehensive Study on Different Optimizations of Pure Reference Counting Garbage Collectors
        Authors: F. Tabassum, M.R. Islam, M.S.U. Rahman, J. Majumder
        Year: 2023

Farah Jemili | Cybersécurité

Assist Prof Dr Farah Jemili: Leading Researcher in Cybersécurité

Assist Prof Dr Farah Jemili at University of Sousse Tunisia.

🎉🏆Congratulations, Assist Prof Dr Farah Jemili, on winning the esteemed Women Researcher Award from Young scientist Awards! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done 🌟

👨‍🏫  Farah Jemili, an Professor at the  University of Sousse, Tunisia, stands as a distinguished academic and researcher in the Computer Science. Holding a Ph.D Assistant Professor research in artificial intelligence &Big Data Analysis at MARS lab.,IsITCom, University of Sousse, Tunisia . their professional journey exemplifies dedication and expertise. 📚

Professional Profile

Academic Qualifications

Ph.D, Eng., Assistant Professor, Researcher in Artificial Intelligence & Big Data Analysis at MARS Lab , ISITCom, University of Sousse, Tunisia

💼Employment :

Assistant Professor(FSB BIZERTE) 2004 to 2010|Employment

Farah Jemili’s citation metrics and indices from Google Scholar are as follows:

📊 Citation Metrics (Google Scholar):

  • Cited by: All – 398, Since 2018 – 286
  • h-index: All – 11, Since 2018 – 9
  • i10-index : All -11 Since 2018 -9
Publications

32 Documents

📚Top Noted Publications (Journals)

A framework for an adaptive intrusion detection system using Bayesian network  Published in 2007/5/23 Cited by 115

Distributed deep learning approach for intrusion detection system in industrial control systems based on big data technique and transfer learning Published online: 25 Jul 2023.

A framework for an adaptive intrusion detection system using Bayesian network

Using MongoDB databases for training and combining intrusion detection datasets Published in 2018 Cited by 11.

A survey of attacks in mobile ad hoc networks

Anomaly-based behavioral detection in mobile Ad-Hoc networks

Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques

Distributed Architecture of an Intrusion Detection System in Industrial Control Systems Published in 2022/9/21 Cited by 8

Neuro-fuzzy and genetic-fuzzy based approaches in intrusion detection: Comparative study Published in 2017 cited by 5

OuajdiKorbaa.” Neuro-fuzzy and genetic-fuzzy based approaches in intrusion detection: Comparative study.” Software, Telecommunications and Computer Networks (SoftCOM) Published in 2017 Cited by 5