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.

 

 

 

 

Lin Zhu | Image Technology | Best Researcher Award

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Ms. Lin Zhu | Image Technology | Best Researcher Award

Shanghai Chest Hospital, China

Dr. Lin Zhu is a postdoctoral researcher and attending doctor at the Radiology Department of Shanghai Chest Hospital, Shanghai Jiaotong University. Her research is centered on radiology and oncology, with a particular emphasis on tumorigenicity, advanced imaging technologies, AI-assisted diagnostic imaging, quantitative image analysis, and molecular nanoimaging in the context of tumor microenvironments. She has published 9 first-author SCI papers and has served as principal investigator (PI) on four funded research projects.

Publication Profile 

Orcid

Educational Background 🎓

  • Doctor of Medicine (Diagnostic and Interventional Radiology)
    Heidelberg University Clinic, Heidelberg University, Germany
    Sept. 2018 – Feb. 2022
    Supervisors: Prof. Dr. Mark O. Wielpütz MHBA and Prof. Hans-Ulrich Kauczor

  • Master of Medicine (Medical Imaging and Nuclear Medicine)
    Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China
    Sept. 2013 – June 2016
    Supervisor: Prof. Dr. Hong Yu

  • Bachelor of Medicine (Medical Imaging)
    School of Medicine, Southeast University, China
    Sept. 2007 – June 2012

Professional Experience 💼

  • Postdoctoral Researcher
    Shanghai Chest Hospital, Shanghai Jiaotong University, China
    Feb. 2022 – Present

  • Training Radiologist
    Shanghai Changzheng Hospital, Second Military Medical University, China
    Aug. 2016 – July 2018

  • Training Radiologist
    The Fifth People’s Hospital of Shanghai, Fudan University, China
    July 2012 – July 2013

  • Clinical Practice (Internship)
    Zhongda Hospital, Southeast University, China
    June 2011 – June 2012

Research Interests 🔬

  • Tumorigenicity and tumor microenvironment

  • Advanced and AI-assisted imaging techniques

  • Quantitative imaging analysis

  • Molecular nanoimaging for cancer diagnostics

  • Multimodal radiological imaging for lung cancer and lymphoma

  • Imaging biomarkers in oncology

Awards and Honors🏆✨

While specific named awards are not listed, notable professional achievements include:

  • Published 9 SCI-indexed papers as first author

  • Principal Investigator of 4 research projects

  • Speaker at major international conferences, including:

    • European Congress of Radiology (ECR) 2018 & 2020

    • Chinese Congress of Radiology (CCR) 2016 & 2022

Conclusion🌟

Dr. Lin Zhu exemplifies a dynamic and highly accomplished medical imaging expert with extensive international research and clinical experience. Her multidisciplinary approach, combining diagnostic radiology with molecular imaging and artificial intelligence, positions her as a leading researcher in the field of thoracic oncology imaging. Her work bridges foundational biological research with state-of-the-art diagnostic practices, contributing meaningfully to advancements in precision medicine and personalized cancer care.

Publications 📚

  1. 🐭 µCT in Muco-obstructive Lung Disease
    Zhu L., et al.
    American Journal of Physiology – Lung Cellular and Molecular Physiology, 2022, 322(3):L401–L411.
    🔬 Topic: Neutrophil elastase in mouse lung disease

  2. 🫁 MRI vs. CT for Lung Nodule Detection in COPD
    Li Q, Zhu L, et al.
    Radiology: Cardiothoracic Imaging, 2023, 5(2):e220176.
    🧠 Topic: MRI as a diagnostic tool compared to CT

  3. 🧬 miR-629 & Lung Cancer Tumorigenesis
    Zhu L, et al.
    Cancer Biomarkers, 2020.
    🧪 Topic: PI3K/AKT pathway & FOXO1 targeting

  4. 🦠 Primary Pulmonary Lymphoepithelial Carcinoma
    Nie K, Zhu L, et al.
    Journal of Surgical Oncology, 2023.
    🩺 Topic: Rare lung cancer subtype prognosis

  5. 🧫 RasGRP4 in Lymphoma Growth
    Zhu L, et al.
    Cell Communication and Signaling, 2019, 17(1), 92.
    🔬 Topic: Oncogene role in B-cell lymphoma

  6. 🧬 miR-101 and Pancreatic Cancer Suppression
    Zhu L, et al.
    Cancer Biomarkers, 2018, 23(2):301–309.
    🧠 Topic: STMN1 targeting to suppress proliferation

  7. 🩻 Ultrasound/CT + CA125 for Ovarian Tumors
    Zhu L, et al.
    Minerva Medica, 2018, 109(6):489–491.
    🧪 Topic: Combined diagnostic method

  8. 📊 TIMP-2 Expression in Lung Cancer
    Zhu L, et al.
    PLOS ONE, 2015, 10(4):e0124230.
    🔍 Topic: Meta-analysis on tumor prognosis

  9. 🔬 PET/CT in Small Cell Lung Cancer
    Nie K, Zhu L, et al.
    J Med Imaging Radiat Oncol, 2019, 63(1):84–93

  10. 💉 Serum Angiopoietin-Like Protein 2 as Biomarker
    Chen Y, Zhu L, et al.
    Clin Lab, 2017, 63(1):59–65

  11. 🧠 CT Phenotyping in Pulmonary Lymphoma
    Chen Y, Zhu L, et al.
    J Thorac Dis, 2018, 10(11):6040–6049

  12. 🐭 µCT Monitoring of Neutrophil Elastase Deficiency
    Zhu L, et al.
    ECR 2020 – Book of Abstracts, Insights Imaging, 2020, 11(Suppl 1):34

  13. 🧠 Lung Cancer Imaging & Treatment Methods
    Zhu L, et al.
    Int. J. Med. Radiology, 2018, 41(06):641–645

  14. 🧬 String Beads Sign in Small Cell Lung Cancer
    Xiao YX, Zhu L, et al.
    Journal of Practical Radiology, 2016
    🧠 DOI: 10.3969/j.issn.1002-1671.2016.01.001

  15. 🫁 CT Signs of Peripheral Small Cell Lung Cancer
    Xiao YX, Zhu L, et al.
    Journal of Practical Radiology, 2016
    🩻 DOI: 10.3969/j.issn.1002-1671.2016.01.001