Dr. Ramesh S | Artificial Intelligence | Best Researcher Award

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Dr. Ramesh S | Artificial Intelligence | Best Researcher Award

Assistant Professor at Rajalakshmi Engineering College, India

Dr. S. Ramesh is an accomplished academic and researcher with over 15 years of teaching and research experience in Electronics and Communication Engineering, specializing in Artificial Intelligence, Machine Learning, Computer Vision, IoT, and Embedded Systems. He currently serves as Assistant Professor (Senior Scale) in the Department of Mechatronics Engineering at Rajalakshmi Engineering College, Chennai. Dr. Ramesh holds a Ph.D. from VIT University, where he focused on disease detection in paddy crops using machine learning. He is currently pursuing post-doctoral research at Multimedia University, Malaysia, in the field of AI-driven crop disease identification. Throughout his career, he has held academic positions at esteemed institutions including Saveetha University, SRM University, and VIT. He has published over 100 peer-reviewed papers, including 20 SCI and 80 Scopus-indexed articles, and has 18 patents to his credit. Dr. Ramesh has received multiple accolades, such as the Young Scientist Award (2023), Best Researcher Award, and several international honors for his contributions to precision agriculture and cybersecurity in smart farming. An active academic collaborator and mentor, he also serves on editorial boards of reputed journals and has completed over 250 online certifications in AI and machine learning. He is a lifetime member of several professional organizations, including IEEE, IAENG, and SIPH.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Dr. Ramesh S

Dr. Ramesh S is a highly accomplished and visionary academician whose extensive contributions to research, innovation, and education make him an exemplary candidate for the Best Researcher Award. With 15 years of dedicated teaching and research experience, Dr. Ramesh has demonstrated excellence across domains such as Artificial Intelligence, Machine Learning, Embedded Systems, and Precision Agriculture.

🎓 Education

🧠 Post-Doctoral Research (2024–2025)
📍 Multimedia University, Malaysia
📚 Machine Learning — Crop Disease Identification in Rural Areas

🎓 Ph.D. in Electronics & Communication Engineering (2015–2020)
📍 VIT University, Chennai
🧪 Focus: Machine Learning for Disease Detection in Paddy Crops

🎓 M.Tech in Embedded Systems Technology (2009–2011)
📍 SRM University, Chennai

🎓 B.E. in Electronics and Instrumentation Engineering (2004–2008)
📍 National Engineering College, Kovilpatti

🏫 Academic & Research Experience (15+ Years)

📍 Rajalakshmi Engineering College – Assistant Professor (SS)
🧑‍🏫 April 2024 – Present | Dept. of Mechatronics Engineering

📍 Saveetha University, Chennai – Associate Professor
📅 July 2022 – April 2024 | Applied Machine Learning

📍 St. Mother Theresa Engineering College, Tirunelveli – HOD & Assistant Professor (SS)
📅 Nov 2021 – Jun 2022

📍 Sri Shakthi Institute of Engineering & Technology, Coimbatore
📅 Jan 2021 – Oct 2021

📍 VIT University, Chennai – Research Associate / Jr. Asst. Prof.
📅 2015 – 2020

📍 SRM University, NCR Campus – Assistant Professor
📅 2011 – 2015

💡 Areas of Expertise

🤖 Artificial Intelligence

📊 Machine Learning

👁️ Computer Vision

🌐 Internet of Things (IoT)

🔌 Embedded Systems

🌍 International Exposure & Keynote Roles

🧑‍⚖️ Session Chair & Reviewer – WCASET 2024, Thailand

🎤 Keynote Speaker – WCASET 2024, Bangkok

🌏 Academic Visit – Asia Pacific University, Malaysia

📄 Presented Research on Paddy Disease & IoT

📚 Research 

🧬 Patents (Published/Granted): 18

📄 SCI Indexed Papers: 20

📝 Scopus Indexed Papers: 80

📘 Books Authored: 6

📗 Book Chapters (Scopus): 10

📒 Book Editor Roles: 2

🎤 Conference Presentations: 23

🎓 FDPs Attended: 25

🧠 Online Certifications (AI/ML): 250+

🏆 Awards & Honors

🥈 Silver Award – iNVENTX 2024, Malaysia
AI-Driven Crop Disease Detection

🥉 Bronze Award – iNVENTX 2024, Malaysia
Cybersecurity Standards in Precision Agriculture

🏅 Research Excellence Award (2024–25) – IFERP, Thailand

🥇 Best Researcher Award 2021 – Novel Research Academy

🏆 National Excellence Achievers Award 2024 – WELRED Foundation

🎓 Young Scientist Award 2023 – Royal Science Forum

🏆 Best Academic Excellence Award 2022 – SIPH

🧑‍🔬 Outstanding Young Researcher Award 2023 – I2OR, India

🧪 Dr. APJ Abdul Kalam Award 2023 – Tamil Thai Foundation

🏅 Best Paper Awards (2018, 2023) – CIIR Springer & VELS University

🎤 Session Chair – IEEE ACCAI 2022

🤝 Academic Collaborations & Initiatives

🤝 MOU with Digisailor and Codenplay Robotics

🧑‍🔧 Course Co-designer with Central Electronics Ltd. (CEL) – Renewable Energy

🧑‍🏫 Mentored interns through IKS Division – 4 students selected

💼 Administrative Roles Held

📊 NBA & NAAC Coordinator

🧑‍🏫 HOD / Assistant HOD / Project Coordinator

📑 ERP Coordinator, ECE Dept.

📣 Symposium Convener – SRM & Saveetha University

🧠 Technical Skills

💻 Matlab, WEKA, R

🐍 Python, Keil

🖥️ Data Science Tools

✒️ Editorial Board & Reviewer Roles

📕 IETE Journal of Research (Taylor & Francis)

📗 Artificial Intelligence Review (Springer)

📘 American Journal of Artificial Intelligence

🧠 AI Insights & more

🎖️ Professional Memberships

🔹 IEEE Member – ID: 97908979

🔹 IAENG

🔹 Global Institute for Education & Research

🔹 Scientific International Publishing House

🔹 IRED, I2OR, Greenthinkz

Publication Top Notes

Recognition and classification of paddy leaf diseases using Optimized Deep Neural network with Jaya algorithm

Cited: 385

Rice blast disease detection and classification using machine learning algorithm

Cited: 112

Sustainable Development in Modern Aquaponics Cultivation Systems Using IoT Technologies

Cited: 100

Application of machine learning in detection of blast disease in South Indian rice crops

Cited: 86

An artificial intelligence enabled smart industrial automation system based on internet of things assistance

Cited: 78

Dr. Muhammad Yasir Siddiqui | Deep Learning | Best Researcher Award

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Dr. Muhammad Yasir Siddiqui | Deep Learning | Best Researcher Award

Dr. Muhammad Yasir Siddiqui, Seoul National University of Science and Technology, South Korea

Dr. Muhammad Yasir Siddiqui is a seasoned researcher and academician with extensive experience in Artificial Intelligence and Deep Learning. Currently serving as a Research Professor at SeoulTech in South Korea, he has contributed to renowned research projects across Pakistan, Denmark, and South Korea. With over nine publications in peer-reviewed journals and conferences, his work focuses on cutting-edge technologies such as 3D applications and autonomous vehicles.

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Dr. Muhammad Yasir Siddiqui is a highly qualified candidate for the Best Researcher Award due to his extensive contributions to Artificial Intelligence (AI), Deep Learning, and Computer Vision. His research has led to significant advancements in 3D applications, autonomous vehicles, and AI-driven perception systems, making him a strong contender for this recognition.

Education and Experience

  • 🎓 PhD in Engineering (Computer Vision, AI)
    Mar. 2019 – Feb. 2023
    Mechanical System Engineering, Tongmyong University, South Korea

  • 🎓 Master of Science in Computer Science
    Sep. 2008 – Mar. 2011
    Blekinge Institute of Technology, Karlskrona, Sweden

  • 🎓 Master in Information Technology
    Sep. 2005 – Mar. 2007
    Quaid-i-Azam University, Islamabad, Pakistan

  • 🎓 Bachelor of Science in Computer Science
    Sep. 2000 – Mar. 2004
    Allama Iqbal Open University, Islamabad, Pakistan

  • 👨‍🏫 Research Professor
    Mar. 2023 – Jun. 2025
    Dept. of Electrical and Information System, SeoulTech, South Korea

  • 👨‍🏫 Senior Lecturer
    Jun. 2016 – Feb. 2019
    School of Computing and Engineering, Lahore Leads University, Pakistan

  • 💻 Software Engineer
    Mar. 2011 – Apr. 2015
    Edixen Solutions, Copenhagen, Denmark

Professional Development

Throughout his career, Dr. Siddiqui has demonstrated a commitment to advancing technology and education. As a Research Professor at SeoulTech, he leads programming lectures and spearheads machine learning and deep learning projects, focusing on computer vision and big data. His tenure as a Senior Lecturer at Lahore Leads University involved teaching programming languages, guiding research initiatives, and supervising undergraduate projects. At Edixen Solutions in Denmark, he led a team of over 20 professionals, driving multi-phased research initiatives that directly impacted product development across web, API, and mobile platforms.

Research Focus

Dr. Siddiqui’s research interests lie at the intersection of Deep Learning and Computer Vision. He specializes in developing algorithms for classification, detection, and segmentation tasks, with a particular emphasis on depth estimation and 3D instance segmentation. His work extends to augmented and virtual reality (AR/VR) applications, where he explores immersive technologies that enhance user experiences. Additionally, he contributes to advancements in autonomous vehicles, focusing on the integration of AI-driven perception systems to improve safety and efficiency.

Awards and Honors

  • 🥉 3rd Position
    Busan Datathon Competition
    Korea Intelligence Information Society, Digital Ministry by Busan Techno Park

  • 🎓 Fully Funded Professor’s Fellowship
    Co-funded by the BK21 for PhD studies

  • 🎓 Fully Funded Scholarship
    Ministry of Education, Sweden for Master’s studies

  • 🎓 Fully Funded Scholarship
    Software Technology Park, Islamabad, Pakistan for Master’s studies

  • 🎓 Partially Funded Scholarship
    University Scholarship for Bachelor’s studies

Publication Top Notes:

📄 A comparative analysis of machine learning approaches for plant disease identification – 31 citations, 2017
📝 Recognition of Pashto handwritten characters based on deep learning – 28 citations, 2020
⚙️ Faster metallic surface defect detection using deep learning with channel shuffling – 12 citations, 2024
🔍 Modeling & Evaluating The Performance Of Convolutional Neural Networks For Classifying Steel Surface Defects – 8 citations, 2024
📚 Deep learning-based 3D instance and semantic segmentation: A review – 8 citations, 2024

 

Dr. Sabrina Clusiau | Artificial intelligence | Best Researcher Award

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Dr. Sabrina Clusiau | Artificial intelligence | Best Researcher Award

Dr. Sabrina Clusiau , Dragonfly, Comet Inc , Canada

Sabrina Clusiau is a Ph.D. candidate in Materials Engineering at McGill University, where she has been pursuing her research since 2021. She holds a Bachelor’s degree in Biomedical Engineering from École Polytechnique de Montréal (2019) and a Bachelor of Science in Anatomy and Cell Biology from McGill University (2015). With a professional background as a Software Developer at Object Research Systems in Montreal, Sabrina has been instrumental in designing and implementing code and user interfaces, particularly for the Dragonfly software. Her research, focused on optimizing Scanning Electron Microscopy (SEM) parameters using AI, has been published in prestigious journals. Sabrina has been recognized for her academic excellence with multiple awards, including the Graduate Excellence Fellowship and the McGill Engineering Doctorate Award

Professional Profile:

Orcid

Suitability for Best Researcher Award: Sabrina Clusiau

Sabrina Clusiau is a strong candidate for the Best Researcher Award due to her impactful research in materials engineering, particularly in integrating AI with SEM technology .Sabrina Clusiau is a promising researcher in the field of materials engineering with a strong focus on integrating artificial intelligence (AI) into microscopy and image analysis. Her innovative work on optimizing Scanning Electron Microscopy (SEM) parameters and developing automated workflows highlights her contribution to advancing materials science through technology. Her research not only pushes the boundaries of traditional microscopy but also improves the efficiency and accuracy of image processing techniques.

🎓Education:

Sabrina Clusiau earned her Ph.D. in Materials Engineering from McGill University, where she has been conducting research since 2021. She holds a Bachelor’s degree in Biomedical Engineering from École Polytechnique de Montréal, obtained in 2019, and a Bachelor of Science in Anatomy and Cell Biology from McGill University, awarded in 2015.

🏢Professional Experience:

Sabrina Clusiau has been working as a Software Developer at Object Research Systems in Montreal since 2019. In this role, she is responsible for designing, implementing, maintaining, and documenting code and user interfaces, with a focus on developing workflows in Dragonfly software to enhance user experience and address clients’ specific image processing needs. Prior to this, she served as a Continuous Improvement Intern at Pfizer in Montreal in 2018, where she created an electronic chart for operators using VBA in Excel, implemented it on a pilot line, and analyzed service contracts for expirations and renewals.

🏆Awards:

Sabrina Clusiau has received several prestigious awards in recognition of her academic achievements. She was honored with the Graduate Excellence Fellowship in both 2021 and 2023. In 2022, she was awarded the M&M Poster Award for her outstanding presentation, and in 2021, she also received the McGill Engineering Doctorate Award (MEDA) for her exceptional work in Materials Engineering.

Publication Top Notes:

Optimizing SEM Parameters for Segmentation with AI – Part 1: Generating a Training Set