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

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.

๐ŸŽ“ Education

๐Ÿง  Post-Doctoral Research (2024โ€“2025)
๐Ÿ“ Multimedia University, Malaysia
๐Ÿ“š Machine Learning โ€” Crop Disease Identification in Rural Areas

๐ŸŽ“ Ph.D. in Electronics & Communication Engineering (2015โ€“2020)
๐Ÿ“ VIT University, Chennai
๐Ÿงช Focus: Machine Learning for Disease Detection in Paddy Crops

๐ŸŽ“ M.Tech in Embedded Systems Technology (2009โ€“2011)
๐Ÿ“ SRM University, Chennai

๐ŸŽ“ B.E. in Electronics and Instrumentation Engineering (2004โ€“2008)
๐Ÿ“ National Engineering College, Kovilpatti

๐Ÿซ Academic & Research Experience (15+ Years)

๐Ÿ“ Rajalakshmi Engineering College โ€“ Assistant Professor (SS)
๐Ÿง‘โ€๐Ÿซ April 2024 โ€“ Present | Dept. of Mechatronics Engineering

๐Ÿ“ Saveetha University, Chennai โ€“ Associate Professor
๐Ÿ“… July 2022 โ€“ April 2024 | Applied Machine Learning

๐Ÿ“ St. Mother Theresa Engineering College, Tirunelveli โ€“ HOD & Assistant Professor (SS)
๐Ÿ“… Nov 2021 โ€“ Jun 2022

๐Ÿ“ Sri Shakthi Institute of Engineering & Technology, Coimbatore
๐Ÿ“… Jan 2021 โ€“ Oct 2021

๐Ÿ“ VIT University, Chennai โ€“ Research Associate / Jr. Asst. Prof.
๐Ÿ“… 2015 โ€“ 2020

๐Ÿ“ SRM University, NCR Campus โ€“ Assistant Professor
๐Ÿ“… 2011 โ€“ 2015

๐Ÿ’ก Areas of Expertise

๐Ÿค– Artificial Intelligence

๐Ÿ“Š Machine Learning

๐Ÿ‘๏ธ Computer Vision

๐ŸŒ Internet of Things (IoT)

๐Ÿ”Œ Embedded Systems

๐ŸŒ International Exposure & Keynote Roles

๐Ÿง‘โ€โš–๏ธ Session Chair & Reviewer โ€“ WCASET 2024, Thailand

๐ŸŽค Keynote Speaker โ€“ WCASET 2024, Bangkok

๐ŸŒ Academic Visit โ€“ Asia Pacific University, Malaysia

๐Ÿ“„ Presented Research on Paddy Disease & IoT

๐Ÿ“š Researchย 

๐Ÿงฌ Patents (Published/Granted): 18

๐Ÿ“„ SCI Indexed Papers: 20

๐Ÿ“ Scopus Indexed Papers: 80

๐Ÿ“˜ Books Authored: 6

๐Ÿ“— Book Chapters (Scopus): 10

๐Ÿ“’ Book Editor Roles: 2

๐ŸŽค Conference Presentations: 23

๐ŸŽ“ FDPs Attended: 25

๐Ÿง  Online Certifications (AI/ML): 250+

๐Ÿ† Awards & Honors

๐Ÿฅˆ Silver Award โ€“ iNVENTX 2024, Malaysia
AI-Driven Crop Disease Detection

๐Ÿฅ‰ Bronze Award โ€“ iNVENTX 2024, Malaysia
Cybersecurity Standards in Precision Agriculture

๐Ÿ… Research Excellence Award (2024โ€“25) โ€“ IFERP, Thailand

๐Ÿฅ‡ Best Researcher Award 2021 โ€“ Novel Research Academy

๐Ÿ† National Excellence Achievers Award 2024 โ€“ WELRED Foundation

๐ŸŽ“ Young Scientist Award 2023 โ€“ Royal Science Forum

๐Ÿ† Best Academic Excellence Award 2022 โ€“ SIPH

๐Ÿง‘โ€๐Ÿ”ฌ Outstanding Young Researcher Award 2023 โ€“ I2OR, India

๐Ÿงช Dr. APJ Abdul Kalam Award 2023 โ€“ Tamil Thai Foundation

๐Ÿ… Best Paper Awards (2018, 2023) โ€“ CIIR Springer & VELS University

๐ŸŽค Session Chair โ€“ IEEE ACCAI 2022

๐Ÿค Academic Collaborations & Initiatives

๐Ÿค MOU with Digisailor and Codenplay Robotics

๐Ÿง‘โ€๐Ÿ”ง Course Co-designer with Central Electronics Ltd. (CEL) โ€“ Renewable Energy

๐Ÿง‘โ€๐Ÿซ Mentored interns through IKS Division โ€“ 4 students selected

๐Ÿ’ผ Administrative Roles Held

๐Ÿ“Š NBA & NAAC Coordinator

๐Ÿง‘โ€๐Ÿซ HOD / Assistant HOD / Project Coordinator

๐Ÿ“‘ ERP Coordinator, ECE Dept.

๐Ÿ“ฃ Symposium Convener โ€“ SRM & Saveetha University

๐Ÿง  Technical Skills

๐Ÿ’ป Matlab, WEKA, R

๐Ÿ Python, Keil

๐Ÿ–ฅ๏ธ Data Science Tools

โœ’๏ธ Editorial Board & Reviewer Roles

๐Ÿ“• IETE Journal of Research (Taylor & Francis)

๐Ÿ“— Artificial Intelligence Review (Springer)

๐Ÿ“˜ American Journal of Artificial Intelligence

๐Ÿง  AI Insights & more

๐ŸŽ–๏ธ Professional Memberships

๐Ÿ”น IEEE Member โ€“ ID: 97908979

๐Ÿ”น IAENG

๐Ÿ”น Global Institute for Education & Research

๐Ÿ”น Scientific International Publishing House

๐Ÿ”น 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

Ms. Shakila Rahman | Computer Engineering | Best Researcher Award

Ms. Shakila Rahman | Computer Engineering | Best Researcher Award

Ms. Shakila Rahman , American International University – Bangladesh (AIUB)

Shakila Rahman ๐Ÿ‡ง๐Ÿ‡ฉ is a Lecturer at the Department of Computer Science, AIUB ๐Ÿซ. She earned her M.Sc. in AI & Computer Engineering ๐Ÿค– from the University of Ulsan, South Korea ๐Ÿ‡ฐ๐Ÿ‡ท, with a CGPA of 4.00/4.50 ๐Ÿ“š. Her research spans UAV networking ๐Ÿš, wireless sensor networks ๐ŸŒ, and machine learning ๐Ÿง . She actively supervises undergraduate projects ๐Ÿ‘ฉโ€๐Ÿ’ป and has published in reputed journals ๐Ÿ“–. With experience in academia and applied computing, she contributes passionately to AI and emerging technologies ๐Ÿ’ก. She is also active on ResearchGate, ORCID, and LinkedIn ๐ŸŒ.

Professional Profile:

Orcid

๐Ÿ”น Education & Experienceย 

Shakila Rahman completed her M.Sc. in AI & Computer Engineering ๐ŸŽ“ from the University of Ulsan, South Korea ๐Ÿ‡ฐ๐Ÿ‡ท, and her B.Sc. in Computer Science & Engineering from IIUC ๐Ÿ‡ง๐Ÿ‡ฉ. Currently, she serves as a Lecturer ๐Ÿ‘ฉโ€๐Ÿซ at American International University-Bangladesh (AIUB), where she teaches core computing subjects ๐Ÿ’ป. She previously worked as a Graduate Research Assistant in South Korea ๐Ÿ”ฌ and as an Undergraduate Teaching Assistant at IIUC ๐Ÿ‘ฉโ€๐Ÿ”ฌ. Her experience blends international research, teaching, and real-world project supervision ๐ŸŒ. She is skilled in Python, Java, and C++ ๐Ÿง‘โ€๐Ÿ’ป, and fosters student innovation through hands-on learning ๐Ÿงช.

๐Ÿ”น Professional Development

Shakila has enhanced her technical skillset through multiple workshops and training programs ๐Ÿ› ๏ธ. She completed web development ๐Ÿ’ป at BASIS BITM, mobile game/app development ๐ŸŽฎ with Bangladesh ICT Division, and Android app development ๐Ÿค– with Affable Technology. As a competitive programmer, she participated in ICPC, NGPC, and UVA online judges ๐Ÿ†. During her B.Sc., she joined industrial events like the Tech Summit by LEADS Corporation ๐Ÿ‘ฉโ€๐Ÿ’ผ. These initiatives equipped her with a dynamic understanding of both academic theory and industry practices ๐ŸŒ. She is also an IELTS-certified English communicator with a score of 6.0 ๐Ÿ‡ฌ๐Ÿ‡ง๐Ÿ—ฃ๏ธ.

๐Ÿ”น Research Focus

Shakila Rahman’s research lies at the intersection of AI and networking technologies ๐Ÿค–๐ŸŒ. Her main focus includes UAV Networking ๐Ÿš, Wireless Sensor Networks ๐Ÿ›ฐ๏ธ, Network Systems ๐Ÿ–ง, and Optimization Algorithms ๐Ÿ”. She also works with Machine Learning ๐Ÿง , Deep Learning ๐Ÿงฌ, Image Processing ๐Ÿ–ผ๏ธ, and AR/VR applications in AI ๐Ÿฅฝ. Her work emphasizes solving real-world challenges like obstacle detection, fire/smoke recognition ๐Ÿ”ฅ๐Ÿšจ, and human activity classification ๐Ÿšถโ€โ™‚๏ธ๐Ÿšจ. She publishes in SCIE and SCOPUS-indexed journals ๐Ÿ“š, contributing to the academic community with innovations in intelligent systems and computer vision ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ.

๐Ÿ”น Awards & Honorsย 

Shakila Rahman has received prestigious academic honors ๐Ÿ…, including the Brain Korea Scholarship (BK21) ๐Ÿ’ฐ during her M.Sc. at the University of Ulsan ๐Ÿ‡ฐ๐Ÿ‡ท. She was also awarded the fully funded AF1 Scholarship worth approx. $21,000 USD ๐ŸŽ“๐Ÿ’ต. Her research was supported by the National Research Foundation of Korea (NRF) ๐Ÿ‡ฐ๐Ÿ‡ท for multiple publications ๐Ÿ“‘. These recognitions highlight her academic excellence ๐ŸŒŸ, research potential ๐Ÿ”ฌ, and commitment to global scientific collaboration ๐ŸŒ. Her accolades stand as a testament to her dedication and passion in the field of Artificial Intelligence and networked systems ๐Ÿš€๐Ÿ“ก.

Publication Top Notes:

๐Ÿง  Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets

  • Journal: Journal of Imaging

  • Year: 2025

  • Citations: 0

  • Summary: This study presents a YOLOv11-based model designed for real-time recognition of Bangla and English sign language alphabets. The model aims to bridge communication gaps for the hearing-impaired by accurately detecting and classifying sign language gestures.


๐Ÿ™๏ธ Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11

  • Journal: Future Internet

  • Year: 2025

  • Citations: 0

  • Summary: This research introduces an AI-driven approach utilizing YOLOv11 for detecting infrastructure faults in urban environments. The model enhances city safety by enabling prompt identification and maintenance of structural issues.


๐Ÿงด A Hybrid CNN Framework DLI-Net for Acne Detection with XAI

  • Journal: Journal of Imaging

  • Year: 2025

  • Citations: 0

  • Summary: The study proposes DLI-Net, a hybrid CNN framework combining DeepLabV3 for segmentation and InceptionV3 for classification, to detect and classify acne lesions. Achieving a 97% accuracy rate, the model incorporates Grad-CAM for explainable AI, enhancing transparency in dermatological diagnostics.


๐Ÿš A Deep Q-Learning Based UAV Detouring Algorithm in a Constrained Wireless Sensor Network Environment

  • Journal: Electronics

  • Year: 2025

  • Citations: 0

  • Summary: This paper presents a Deep Q-Learning algorithm for unmanned aerial vehicles (UAVs) to navigate efficiently within constrained wireless sensor networks. The approach optimizes detouring strategies, enhancing UAV performance in complex environments.


๐Ÿ›ก๏ธ A Deep Learning Model for YOLOv9-based Human Abnormal Activity Detection: Violence and Non-Violence Classification

  • Journal: Iranian Journal of Electrical and Electronic Engineering

  • Year: 2024

  • Citations: 0

  • Summary: The research develops a YOLOv9-based deep learning model to classify human activities as violent or non-violent. Aimed at enhancing surveillance systems, the model contributes to improved public safety through accurate activity detection.

โœ… Conclusion

Shakila Rahman is a highly suitable candidate for the Best Researcher Award due to her blend of academic excellence, innovative research, international exposure, and impactful contributions to AI and networking fields. Her work not only advances fundamental knowledge but also targets practical challenges, demonstrating a research trajectory with strong future promise. Recognizing her with this award would celebrate her achievements and encourage continued excellence in emerging technology domains. ๐Ÿš€๐Ÿค–๐Ÿ“ก