Alireza Talesh Jafadideh | Neuroimaging | Research Excellence Award

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Assist. Prof. Dr. Alireza Talesh Jafadideh | Neuroimaging | Research Excellence Award

Assistant Professor | University of Tehran | Iran

Assist. Prof. Dr. Alireza Talesh Jafadideh is a biomedical engineering researcher specializing in brain-signal processing, neural dynamics, and computational neuroengineering. His work integrates EEG, MEG, fMRI, and DTI with machine learning, graph theory, and mathematical modeling to identify discriminative biomarkers and improve neural source localization. He investigates neuropsychiatric and neurodevelopmental conditions such as autism, OCD, Parkinson’s disease, and substance-use disorders. His contributions include structural filtering, topological data analysis, recurrence quantification, and adaptive beamforming. Through multimodal imaging and advanced analytics, he advances diagnostic tools, emotion and cognitive-state classification, and deeper insights into functional connectivity and transient neural network changes.

Citation Metrics (Google Scholar)

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Citations
59

i10-index
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h-index
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             🟦 Citations       🟥 i10-index         🟩 h-index


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Featured Publications

Sachin Karmuse | Image Processing | Best Researcher Award

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Dr. Sachin Karmuse | Image Processing | Best Researcher Award

Assistant Professor at DKTE’s Textile & Engineering Institute | India

Dr. Sachin Mohan Karmuse is an accomplished academic and researcher in the field of Electronics and Telecommunication Engineering with nearly two decades of teaching and research experience. He currently serves as an Assistant Professor at DKTE Society’s Textile and Engineering Institute, Ichalkaranji, where he has been actively engaged in teaching, research, and academic development. He earned his Ph.D. in Electronics Engineering from Visvesvaraya Technological University with a thesis on an improved system for heart rate monitoring using webcam-based analysis. His research interests include image processing, embedded systems, database engineering, artificial intelligence, and machine learning, supported by strong expertise in programming languages such as C, C++, Python, Java, and ASP.net, as well as software tools like Matlab, OrCAD, Proteus, and Xilinx. Dr. Karmuse has published 22 research papers in reputed journals and conferences, contributing significantly to the advancement of knowledge in his domain. His research impact is reflected in 15 citations by 15 documents, 7 indexed documents, and an h-index of 2. In addition to his research contributions, he is a life member of the Indian Society for Technical Education and has served as a Board of Studies member in his department. His academic profile reflects dedication to innovative teaching, applied research, and advancing technology in healthcare and intelligent systems.

Profile: Scopus

Featured Publications

(2025). A robust rPPG approach for continuous heart rate measurement based on face. Journal of the Institution of Engineers (India): Series B. Advance online publication.

Indhumathi G | Biomedical Image Processing | Best Researcher Award

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Ms. Indhumathi G | Biomedical Image Processing | Best Researcher Award

Assistant Professor at Rajalakshmi Engineering College, India

Indhumathi G is a dedicated academic and researcher currently serving as an Assistant Professor in the Department of Electronics and Communication Engineering (ECE) at Rajalakshmi Engineering College, Chennai. With a strong background in communication and networking, she is pursuing a Ph.D. in Image Processing at Anna University. Her academic journey and professional career span several reputed institutions, during which she has contributed significantly to teaching, consultancy, and innovative research. She has co-authored numerous research papers, filed patents, and secured funding for industry projects. Her recent work emphasizes the application of deep learning and IoT in healthcare, agriculture, and automation.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Image Processing – Pursuing, Anna University

  • M.E. in Communication and Networking – Ganadipathy Tulsi’s Jain Engineering College, 1st Class, CGPA: 7.9/10, Year: 2015

  • B.E. in Electronics and Communication Engineering – Ranippettai Engineering College, 1st Class, CGPA: 8/10, Year: 2013

  • HSC – TMKV Govt. Hr. Sec. School, 75%, Year: 2009

  • SSLC – Auxilium Girls Hr. Sec. School, 80%, Year: 2007
    (No history of arrears)

Professional Experience 💼

  • Assistant Professor, Rajalakshmi Engineering College, Chennai
    Sep 16, 2022 – Present

  • Assistant Professor, Loyola Institute of Technology, Chennai
    June 26, 2018 – Sep 17, 2022

  • Assistant Professor, Sree Krishna College of Engineering, Anaicut, Vellore
    June 1, 2015 – June 23, 2018

Research Interests 🔬

  • Image Processing and Deep Learning

  • Medical Image Analysis (e.g., Alzheimer’s Disease Detection)

  • IoT Applications in Healthcare and Agriculture

  • AI for Accident Prediction and Monitoring Systems

  • Smart Supply Chain and Automation Systems

  • Wireless Sensor Networks and Optimization Algorithms

  • Federated Learning in Smart Cities

Awards and Honors🏆✨

  • Reviewer Appointment: International Journal of Medical Imaging (IJMI) (2023–2026)

  • Best Faculty Award: Awarded by Technical Forum Research Foundation

Conclusion🌟

Indhumathi G is a proactive and forward-thinking academic professional with a strong inclination toward research and innovation. Her expertise spans across AI, IoT, and image processing, with tangible contributions to real-world problems through consultancy, funded projects, and patent filings. Her blend of academic excellence, industry collaboration, and innovative thinking positions her as a valuable contributor in the field of Electronics and Communication Engineering.

Publications 📚

  1. 🧬 A Novel CNN Architecture: Comprehensive Approach to Alzheimer’s disease classification
    📝 Journal of Medical Imaging (Under Review)
    👩‍💻 Indhumathi G, Palanivelan M

  2. 🧠 Alzheimer’s disease classification using Hybrid loss Psi-Net Segmentation and a New Hybrid Network Model
    📘 Journal of Computational Biology and Chemistry (Impact Factor: 2.6)
    👩‍💻 Indhumathi G, Palanivelan M

  3. 🧠 Comparative Analysis of Machine Learning Algorithms on Prediction of Alzheimer from MRI
    📍 6th International Conference on Recent Trends in Advance Computing (ICRTAC)
    👩‍💻 Indhumathi G, Palanivelan M, Senthil Kumar A, Sairam V A

  4. 🧠 A Non-invasive method to detect and classify Alzheimer’s disease
    📍 3rd Int. Conf. on Deep Sciences for Computing and Communications, SRM IST
    👩‍💻 Indhumathi G, Palanivelan M, Saranya G

  5. 🌱 Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture
    📍 2nd Int. Conf. on Data Science and Information System (ICDSIS), May 2024
    👨‍🔬 M Balamurugan et al., including G Indhumathi

  6. 🐟 Intelligent Aquaponics using IoT
    📘 IT in Industry, Vol. 9 No. 2 (2021), Impact Factor: 0.043
    👩‍💻 Indhumathi G

  7. 🚨 Smart Accident Detection and Helmet Detection – Emergency Alert System
    📍 IEEE Int. Conf. ACCAI 2024, St. Joseph College of Engineering
    👩‍💻 Saranya G, Indhumathi G, et al.

  8. 🔍 Automated Intracranial Hemorrhage Detection Using Deep Learning
    📍 ICDSNS, July 2024
    👩‍💻 Naresh Kumar Kar et al., including Indhumathi G

  9. 🚑 Critical Healthcare Monitoring and secure data sharing using AES Encryption and IoT
    📘 Turkish Journal of Physiotherapy and Rehabilitation, Vol 32(3), Impact Factor: 0.4
    👩‍💻 Indhumathi G

  10. 🧯 Laboratory Safety System using IoT
    📘 Psychology and Education, Vol. 57 (2020), Impact Factor: 0.0083
    👩‍💻 Indhumathi G