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 ProfileΒ 

Scopus

Educational Background πŸŽ“

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 πŸ’Ό

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 πŸ”¬

  • 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 HonorsπŸ†βœ¨

  • 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 πŸ“š

  1. 🧠 CardioMix: A Multimodal Image-Based Classification Pipeline for Enhanced ECG Diagnosis
    πŸ“– Medical Data Mining | πŸ“Š IF: 3.2 | 🏷 Q4
    πŸ‘₯ Sam, K., Nawaz, S., & Vavekanand, R.*
    πŸ”— DOI: 10.53388/mdm202508006

  2. 🧬 NMRGen: A Generative Modeling Framework for Molecular Structure Prediction from NMR Spectra
    πŸ“– IECE Transactions on Emerging Topics in Artificial Intelligence | πŸ“Š IF: 3.4
    πŸ‘€ Vavekanand, R.
    πŸ”— DOI: 10.62762/TETAI.2024.277656

  3. ❀️ CardiacNet: A Neural Networks Based Heartbeat Classification using ECG Signals
    πŸ“– Studies in Medical and Health Sciences | πŸ“Š IF: 2.6
    πŸ‘₯ Vavekanand, R., Sam, K., Kumar, S., & Kumar, T.
    πŸ”— DOI: 10.48185/smhs.v1i2.1188

  4. πŸ”¬ Data Augmentation of Ultrasound Imaging for Non-Invasive White Blood Cell in Peritoneal Dialysis
    πŸ“– Biomedical Engineering Communications | πŸ“Š IF: 1.9 | 🏷 Q4
    πŸ‘₯ Vavekanand, R., Kumar, T.
    πŸ”— DOI: 10.53388/BMEC2024017

  5. πŸ’“ Recognizing Mitral Regurgitation Through ML in Cardiac Imaging
    πŸ“– Cardiology & Vascular Research
    πŸ‘₯ Singh, V., Anwar, S., & Vavekanand, R.

  6. πŸ’» A Machine Learning Approach for Imputing ECG Missing Healthcare Data
    πŸ“– Applied Computing Journal | πŸ“Š IF: 1.4
    πŸ‘€ Vavekanand, R.
    πŸ”— DOI: 10.2139/ssrn.4857084

  7. πŸ§β€β™‚οΈ SUBMIP: Smart Human Body Health Prediction System Based on Medical Image Processing
    πŸ“– Studies in Medical and Health Sciences | πŸ“Š IF: 2.6
    πŸ‘€ Vavekanand, R.
    πŸ”— DOI: 10.48185/smhs.v1i1.1141

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

  9. 🧠 NeuroDNet: MRI-Based Brain Tumor Recognition
    πŸ“ DEVTHON 5.0 International Interdisciplinary Conference (BDIIC-2024)
    πŸ”— DOI: 10.2139/ssrn.4827019

  10. πŸ₯ MediLingua: LLM for Medical Diagnosis & Report Generation
    πŸ“ 8th LNH Symposium, Jan 2025
    πŸ‘€ Vavekanand, R.