Dr. Ramesh S | Artificial Intelligence | Best Researcher Award

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

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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.

πŸŽ“ Education

🧠 Post-Doctoral Research (2024–2025)
πŸ“ Multimedia University, Malaysia
πŸ“š Machine Learning β€” Crop Disease Identification in Rural Areas

πŸŽ“ Ph.D. in Electronics & Communication Engineering (2015–2020)
πŸ“ VIT University, Chennai
πŸ§ͺ Focus: Machine Learning for Disease Detection in Paddy Crops

πŸŽ“ M.Tech in Embedded Systems Technology (2009–2011)
πŸ“ SRM University, Chennai

πŸŽ“ B.E. in Electronics and Instrumentation Engineering (2004–2008)
πŸ“ National Engineering College, Kovilpatti

🏫 Academic & Research Experience (15+ Years)

πŸ“ Rajalakshmi Engineering College – Assistant Professor (SS)
πŸ§‘β€πŸ« April 2024 – Present | Dept. of Mechatronics Engineering

πŸ“ Saveetha University, Chennai – Associate Professor
πŸ“… July 2022 – April 2024 | Applied Machine Learning

πŸ“ St. Mother Theresa Engineering College, Tirunelveli – HOD & Assistant Professor (SS)
πŸ“… Nov 2021 – Jun 2022

πŸ“ Sri Shakthi Institute of Engineering & Technology, Coimbatore
πŸ“… Jan 2021 – Oct 2021

πŸ“ VIT University, Chennai – Research Associate / Jr. Asst. Prof.
πŸ“… 2015 – 2020

πŸ“ SRM University, NCR Campus – Assistant Professor
πŸ“… 2011 – 2015

πŸ’‘ Areas of Expertise

πŸ€– Artificial Intelligence

πŸ“Š Machine Learning

πŸ‘οΈ Computer Vision

🌐 Internet of Things (IoT)

πŸ”Œ Embedded Systems

🌍 International Exposure & Keynote Roles

πŸ§‘β€βš–οΈ Session Chair & Reviewer – WCASET 2024, Thailand

🎀 Keynote Speaker – WCASET 2024, Bangkok

🌏 Academic Visit – Asia Pacific University, Malaysia

πŸ“„ Presented Research on Paddy Disease & IoT

πŸ“š ResearchΒ 

🧬 Patents (Published/Granted): 18

πŸ“„ SCI Indexed Papers: 20

πŸ“ Scopus Indexed Papers: 80

πŸ“˜ Books Authored: 6

πŸ“— Book Chapters (Scopus): 10

πŸ“’ Book Editor Roles: 2

🎀 Conference Presentations: 23

πŸŽ“ FDPs Attended: 25

🧠 Online Certifications (AI/ML): 250+

πŸ† Awards & Honors

πŸ₯ˆ Silver Award – iNVENTX 2024, Malaysia
AI-Driven Crop Disease Detection

πŸ₯‰ Bronze Award – iNVENTX 2024, Malaysia
Cybersecurity Standards in Precision Agriculture

πŸ… Research Excellence Award (2024–25) – IFERP, Thailand

πŸ₯‡ Best Researcher Award 2021 – Novel Research Academy

πŸ† National Excellence Achievers Award 2024 – WELRED Foundation

πŸŽ“ Young Scientist Award 2023 – Royal Science Forum

πŸ† Best Academic Excellence Award 2022 – SIPH

πŸ§‘β€πŸ”¬ Outstanding Young Researcher Award 2023 – I2OR, India

πŸ§ͺ Dr. APJ Abdul Kalam Award 2023 – Tamil Thai Foundation

πŸ… Best Paper Awards (2018, 2023) – CIIR Springer & VELS University

🎀 Session Chair – IEEE ACCAI 2022

🀝 Academic Collaborations & Initiatives

🀝 MOU with Digisailor and Codenplay Robotics

πŸ§‘β€πŸ”§ Course Co-designer with Central Electronics Ltd. (CEL) – Renewable Energy

πŸ§‘β€πŸ« Mentored interns through IKS Division – 4 students selected

πŸ’Ό Administrative Roles Held

πŸ“Š NBA & NAAC Coordinator

πŸ§‘β€πŸ« HOD / Assistant HOD / Project Coordinator

πŸ“‘ ERP Coordinator, ECE Dept.

πŸ“£ Symposium Convener – SRM & Saveetha University

🧠 Technical Skills

πŸ’» Matlab, WEKA, R

🐍 Python, Keil

πŸ–₯️ Data Science Tools

βœ’οΈ Editorial Board & Reviewer Roles

πŸ“• IETE Journal of Research (Taylor & Francis)

πŸ“— Artificial Intelligence Review (Springer)

πŸ“˜ American Journal of Artificial Intelligence

🧠 AI Insights & more

πŸŽ–οΈ Professional Memberships

πŸ”Ή IEEE Member – ID: 97908979

πŸ”Ή IAENG

πŸ”Ή Global Institute for Education & Research

πŸ”Ή Scientific International Publishing House

πŸ”Ή 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

Jiaxiang Wang | Artificial Intelligence | Best Researcher Award

Dr. Jiaxiang Wang | Artificial Intelligence | Best Researcher Award

Dr. Jiaxiang Wang, University of Science and Technology Beijing, China

Jiaxiang Wang πŸŽ“, a PhD candidate at the University of Science and Technology Beijing (USTB) πŸ“, specializes in Artificial Intelligence with a focus on image restoration πŸ–ΌοΈ. With a strong academic background, he earned his Bachelor’s and Master’s degrees from Henan Normal University 🏫. His research centers on developing cutting-edge deblurring algorithms to enhance visual data quality 🌟. Passionate about deep learning and AI-driven solutions, Jiaxiang is dedicated to advancing the field of image processing through innovative techniques. Though early in his academic journey, he demonstrates a commitment to impactful research and interdisciplinary collaboration 🌐.

Professional Profile:

Orcid

Suitability for Best Researcher Award: Jiaxiang Wang

Jiaxiang Wang is highly deserving of the Best Researcher Award due to his groundbreaking work in AI and image restoration. His strong academic background, significant research output, and commitment to advancing technology for real-world applications make him an exemplary candidate for this award. Despite being early in his academic journey, his work shows tremendous potential to shape the future of AI and image enhancement, making him a standout researcher in his field.

 

Education and Experience

  • Bachelor’s Degree πŸŽ“: Henan Normal University
  • Master’s Degree πŸŽ“: Henan Normal University
  • PhD Candidate πŸ“š: University of Science and Technology Beijing, specializing in Artificial Intelligence and Image Restoration πŸ–ΌοΈ
  • Research Focus πŸ”: Advanced deblurring algorithms using deep learning

Professional Development

Jiaxiang Wang’s professional journey revolves around innovative research in Artificial Intelligence πŸ€–. His expertise in deep learning and model optimization enables him to tackle real-world challenges in image restoration πŸ–ΌοΈ. Through his PhD work, he has published papers in prestigious journals indexed in Scopus and Web of Science 🌟. With a cumulative impact factor of 5 over three years, Jiaxiang is committed to academic excellence and developing AI-driven solutions. He aspires to collaborate with professionals globally to address challenges in visual data processing and contribute significantly to the AI community 🌍.

Research Focus

Jiaxiang Wang’s research delves into Artificial Intelligence and its applications in image restoration πŸ–ΌοΈ. His primary focus is developing deblurring algorithms for corrupted images, addressing challenges in visual data processing πŸŽ₯. By leveraging deep learning frameworks and model optimization, Jiaxiang aims to push the boundaries of AI-driven image enhancement 🌟. Passionate about innovation, he envisions his work playing a crucial role in transforming global industries reliant on high-quality visual data, including healthcare, surveillance, and entertainment 🎯.

Awards and Honors

  • Published 5 journal articles in SCI/SCIE-indexed journals πŸ†
  • Published 6 journal articles in Scopus and Web of Science journals ✍️
  • Cumulative impact factor of 5 🌟
  • Citation Index in Scopus and Web of Science: 2 πŸ“–

Publication Top Notes:

πŸ“– MCIDN: Deblurring Network for Metal Corrosion Images
πŸ“– Audio-visual event localization with dual temporal-aware scene understanding and image-text knowledge bridging
πŸ“– Synergy analysis of tribocorrosion behaviour of aluminum alloy under different hydrostatic pressures
πŸ“– A deep learning framework for predicting slab transverse crack using multivariate LSTM-FCN in continuous casting
πŸ“– MIDNet: Deblurring Network for Material Microstructure Images