Raja Vavekanand | Medical Imaging | Young Scientist Award

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Mr. Raja Vavekanand | Medical Imaging | Young Scientist Award

AI Researcher at Datalink Research and Technology Lab, Islamkot, Pakistan

I am a dedicated AI researcher with a strong focus on the intersection of artificial intelligence and healthcare. My core research lies in developing machine learning and deep learning frameworks to enhance medical imaging, particularly in the areas of image segmentation, classification, and generative AI techniques. I aim to make diagnostics more accurate and accessible by leveraging state-of-the-art models such as convolutional neural networks and large language models. My contributions have been recognized in reputed peer-reviewed journals and international conferences. I am committed to academic excellence, collaborative innovation, and impactful research that can transform healthcare systems globally.

Publication Profile 

Scopus

Educational Background 🎓

Bachelor of Science in Information Technology
Benazir Bhutto Shaheed University Lyari, Karachi
Jan 2020 – Feb 2024

  • Final Year Project: IoT-Based Industrial Water Pollution Evaluation System

  • GPA: 3.25/4.0

Intermediate in Pre-Engineering
Board of Intermediate & Secondary Education, Mirpurkhas
Jun 2017 – Aug 2019

  • Grade: A

Professional Experience 💼

AI Researcher
Datalink Research and Technology Lab
March 2024 – Present

  • Conducting advanced research in deep learning, medical imaging, and generative AI

  • Developing and training novel models for healthcare diagnostics

  • Contributing to collaborative research publications in peer-reviewed journals

Research Assistant
Faculty of Computer Science & Information Technology, BBSUL
Feb 2023 – Sept 2023

  • Supervised by Dr. Anwar Ali Sathio on the “Industrial Water Quality Classifications” project

  • Involved in IoT sensor data collection, model training, and accuracy optimization

  • Prepared research documentation and assisted in report drafting

Research Interests 🔬

  • Deep Learning & Computer Vision in Medical Imaging

  • Medical Image Segmentation and Classification

  • Generative AI in Healthcare Diagnostics

  • Data Augmentation for Biomedical Applications

  • Large Language Models in Medical NLP

  • IoT and Machine Learning Integration for Environmental Monitoring

Awards and Honors🏆✨

  • Associate Editor | Journal of Computing Intelligence (2024–2026)

  • Editorial Board Member | Medical Data Mining Journal (2024–2025)

  • Reviewer | IEEE Internet of Things Journal

  • Reviewer | Computer Methods in Biomechanics and Biomedical Engineering

  • Reviewer | IECE Transactions on Emerging Topics in Artificial Intelligence

  • Reviewer | Computology: Journal of Applied Computer Science and Intelligent Technologies

  • Campus Director | Hult Prize Foundation (2021–2022)

  • Literacy Ambassador | World Literacy Foundation (2020–2021)

  • Youth Volunteer | United Nations Association of Pakistan (2020–2023)

Conclusion🌟

With a solid academic foundation, active research pipeline, and growing influence in the academic and scientific communities, I am committed to advancing the role of AI in medicine. My goal is to contribute to innovative, real-world solutions that enhance diagnostic accuracy, medical accessibility, and clinical efficiency. Through continuous learning and interdisciplinary collaboration, I aspire to become a thought leader in AI-driven healthcare transformation.

Publications 📚

  1. 🧠 CardioMix: A Multimodal Image-Based Classification Pipeline for Enhanced ECG Diagnosis
    📖 Medical Data Mining | 📊 IF: 3.2 | 🏷 Q4
    👥 Sam, K., Nawaz, S., & Vavekanand, R.*
    🔗 DOI: 10.53388/mdm202508006

  2. 🧬 NMRGen: A Generative Modeling Framework for Molecular Structure Prediction from NMR Spectra
    📖 IECE Transactions on Emerging Topics in Artificial Intelligence | 📊 IF: 3.4
    👤 Vavekanand, R.
    🔗 DOI: 10.62762/TETAI.2024.277656

  3. ❤️ CardiacNet: A Neural Networks Based Heartbeat Classification using ECG Signals
    📖 Studies in Medical and Health Sciences | 📊 IF: 2.6
    👥 Vavekanand, R., Sam, K., Kumar, S., & Kumar, T.
    🔗 DOI: 10.48185/smhs.v1i2.1188

  4. 🔬 Data Augmentation of Ultrasound Imaging for Non-Invasive White Blood Cell in Peritoneal Dialysis
    📖 Biomedical Engineering Communications | 📊 IF: 1.9 | 🏷 Q4
    👥 Vavekanand, R., Kumar, T.
    🔗 DOI: 10.53388/BMEC2024017

  5. 💓 Recognizing Mitral Regurgitation Through ML in Cardiac Imaging
    📖 Cardiology & Vascular Research
    👥 Singh, V., Anwar, S., & Vavekanand, R.

  6. 💻 A Machine Learning Approach for Imputing ECG Missing Healthcare Data
    📖 Applied Computing Journal | 📊 IF: 1.4
    👤 Vavekanand, R.
    🔗 DOI: 10.2139/ssrn.4857084

  7. 🧍‍♂️ SUBMIP: Smart Human Body Health Prediction System Based on Medical Image Processing
    📖 Studies in Medical and Health Sciences | 📊 IF: 2.6
    👤 Vavekanand, R.
    🔗 DOI: 10.48185/smhs.v1i1.1141

  8. 🧠 LLMediSeg: Large Language Models for Medical Image Segmentation
    📍 3rd International Conference on Biomedical Engineering and Science (ICBES)
    👥 Vavekanand, R., Kumar, T., & Sam, K.

  9. 🧠 NeuroDNet: MRI-Based Brain Tumor Recognition
    📍 DEVTHON 5.0 International Interdisciplinary Conference (BDIIC-2024)
    🔗 DOI: 10.2139/ssrn.4827019

  10. 🏥 MediLingua: LLM for Medical Diagnosis & Report Generation
    📍 8th LNH Symposium, Jan 2025
    👤 Vavekanand, R.

 

 

 

 

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