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.

 

 

 

 

Tejinder Singh Lakhwani | Healthcare | Best Researcher Award

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Mr. Tejinder Singh Lakhwani | Healthcare | Best Researcher Award

Research Scholar at Indian Institute of Technology Jodhpur, India

Dr. Tejinder Singh Lakhwani is a researcher in Decision Sciences and Operations with expertise in healthcare logistics, drone delivery systems, IoT integration, and fuzzy systems. He is currently pursuing his Ph.D. at the School of Management and Entrepreneurship (SME), IIT Jodhpur, focusing on intelligent and sustainable healthcare logistics using IoT and drone-based technologies. His academic journey spans mechanical engineering, operations research, and decision sciences, with consistent academic excellence and contributions in interdisciplinary research. He is a prolific scholar with numerous journal articles, conference presentations, and book chapters to his name.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Decision Sciences and Operations
    SME, IIT Jodhpur (2020 – 2025)
    CGPA: 7.73
    Thesis: Mobility in Blood Supply Management using IoT paradigm

  • M.Tech. in Operations Research
    NIT Durgapur (2018 – 2020)
    CGPA: 7.92
    Thesis: An analysis on Dombi Neutrosophic and m-Polar Pythagorean Fuzzy Graphs with properties

  • B.Tech. in Mechanical Engineering
    RGPV University (2012 – 2016)
    CGPA: 7.92

Professional Experience 💼

  • Participated in various workshops including:

    • Gender Bias and Stereotyping (TEQIP-III Workshop, NIT Durgapur, 2019)

    • Gender Equality and Women Rights (NIT Durgapur, 2019)

    • Navigating PhD and Beyond (ACS Society, IIT Jodhpur, 2025)

  • Proficient in academic research, teaching, LATEX typesetting, and consulting

  • Skills include Python, MATLAB, and LaTeX, with focus on Supply Chain Management

  • Involved in multiple international conferences with presentations on drone logistics, tokenization in supply chains, and multi-modal healthcare routing

Research Interests 🔬

  • Drone-based healthcare logistics and optimization

  • IoT and AI integration in blood supply chain management

  • Fuzzy and neutrosophic graph theory applications

  • Multi-modal logistics, decision sciences, and supply chain modeling

  • Ant colony and hybrid metaheuristic algorithms

  • Sustainability and resilience in medical logistics systems

Awards and Honors🏆✨

  • Gold Medalist in B.E. (Mechanical Engineering), RGPV University (2016)

  • Gold Medalist in M.Tech. (Operations Research), NIT Durgapur (2020)

  • MHRD Fellowship for M.Tech. studies (2018)

  • MoE Doctoral Fellowship for Ph.D. studies (2020)

  • Junior Scientist Award from Madhya Pradesh Government (2006)

  • Qualified GATE in 2017 and 2018 with scores of 380 and 540 respectively

Conclusion🌟

Dr. Tejinder Singh Lakhwani is an emerging academic and research professional whose work integrates technology, healthcare, and operations research. His contributions to drone and IoT-based blood delivery systems demonstrate a commitment to real-world, impactful problem-solving. With multiple awards, gold medals, and a growing portfolio of high-impact publications and presentations, he stands out as a thought leader in the space of sustainable and intelligent logistics systems. His interdisciplinary expertise and ongoing Ph.D. research are shaping the future of smart healthcare supply chains.

Publications 📚

1️⃣ 🛰️ Healthcare Logistics (IoT & Drone):

  • Beyond numbers: A novel IoT and drone framework for enhancing healthcare logistics
    📰 Discover Health Systems, Vol. 4, 2025

2️⃣ 🚁 Blood Bag Deliveries & Emergencies:

  • Revolutionizing healthcare logistics: The strategic role of drone technology in blood bag deliveries for remote and emergency care
    📰 Journal of Transport and Health, Vol. 42, 2025
    🔗 doi: 10.1016/j.jth.2025.102053

3️⃣ 🏦 Banking & Fuzzy Models:

  • Navigating uncertainty: Leveraging fuzzy queuing models to revolutionize customer experience in banking
    📰 Fuzzy Economic Review, Vol. 29, No. 1, 2024
    🔗 doi: 10.25102/fer.2024.01.04

4️⃣ 🔗 Fuzzy Graph Theory:

  • Some operations on Dombi neutrosophic graph
    📰 Journal of Ambient Intelligence and Humanized Computing, Vol. 13, pp. 425–443, 2022

 

 

 

Monika Prakash | Medical Biotechnology | Best Researcher Award

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Dr. Monika Prakash | Medical Biotechnology | Best Researcher Award

Assistant Professor at Ramaiah Institute of Technology, India

Dr. Monika P is an accomplished academician and researcher with a focus on biotechnology, particularly in cell biology, nanobiotechnology, and wound healing. She is currently an Assistant Professor at the Department of Biotechnology, MS Ramaiah Institute of Technology (MSRIT), Bengaluru, where she has been teaching since November 2016. She has over 7 years of research experience and has contributed significantly to the development of novel therapeutic solutions for chronic wound healing, including research on fibroblasts, myofibroblasts, and phytocompounds.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Biotechnology, Visvesvaraya Technological University (VTU), Belagavi, 2023
  • M.Tech in Biotechnology, M.S. Ramaiah Institute of Technology (Autonomous Institute Affiliated to VTU), Bengaluru, 2014, CGPA: 9.43 (Second topper)
  • B.E. in Biotechnology, M.S. Ramaiah Institute of Technology, Bengaluru, 2011, CGPA: 8.8
  • P.U.C. (12th Standard), Maharani Lakshmi Ammanni College, Bengaluru, 2007, 83.5%
  • S.S.L.C. (10th Standard), Nirmala Rani High School, Bengaluru, 2005, 90.72%

Professional Experience 💼

  • Assistant Professor, Department of Biotechnology, MSRIT, Bengaluru, Nov 2016–Present
  • Over 8 years of teaching experience in various biotechnology-related courses
  • Guided multiple undergraduate and postgraduate student projects in fields like tissue engineering, nanobiotechnology, and chronic wound healing

Research Interests 🔬

  • Cell Biology & Cell Culture: Specialization in fibroblasts, myofibroblasts, and their role in wound healing.
  • Nanobiotechnology: Development of novel nanoformulations and scaffolds, especially for medical applications like chronic wound healing.
  • Phytocompounds: Investigating plant-based compounds for their therapeutic potential in wound healing, particularly for diabetic foot ulcers and burn wounds.
  • Chronic Wound Healing: Focus on developing low-cost, effective solutions for enhancing wound regeneration, especially for non-healing ulcers.

Awards and Honors🏆✨

  • Young Women Research Award (2025), Venus International Foundation
  • Certificate of Excellence for completing “Certified Peer Reviewer Course” from Elsevier Researcher Academy (2021)
  • Best Paper Presentation Award at the International Conference on Functional Materials, Energy, Environment, and Biomedical Applications (2022)
  • Best UG Project Award (2022) and other recognitions for mentoring top student projects
  • Best Technical Project Award from the Government of Karnataka for “Development of Nano-catechin for enhanced Bioavailability” (2014)
  • Publons Academy Graduate (2021), first from the institute

Conclusion🌟

Dr. Monika P is a dynamic academician and researcher with a passion for advancing biotechnology research, particularly in the realm of nanobiotechnology and chronic wound healing. Her strong academic background, extensive research experience, and dedication to student mentorship make her a significant contributor to the field of biotechnology. She has consistently earned recognition for her work and continues to foster innovation in her research and teaching. Through various collaborations and funded research projects, Dr. Monika P is paving the way for advancements in wound healing therapies and sustainable healthcare solutions.

Publications 📚

1. 📝 Monika, Prakash, Anushka Poola, Prithvi Prabhu, Samrat K.
“Key insights into recent advances and challenges in COVID‑19 Management”
Discover Public Health (2025) 22: 15.

2. 🧪 P. Monika, M. N. Chandraprabha, R. Hari Krishna, Vittal Maanya, C. Likhitha, N. Pooja.
“Development of targeted nanocapsules using pomegranate peel extract with enhanced bioavailability and anti-inflammatory activity for ulcerative colitis: In vitro studies”
Hybrid Advances, 2024.

3. 🔬 Prakash Monika, Hari Krishna Rajan, Chandraprabha MN, Sakshi Shetty, Tanushka Mukherjee, S. Girish Kumar.
“Recent Developments in Green Synthesis of Hydroxyapatite Nanocomposites: Relevance to Biomedical and Environmental Applications”
Green Chemistry Letters and Reviews, 2024 (IF- 6.6, Q1)

4. 💉 Prakash, M. N. Chandraprabha, Vivek Radhakrishnan, Prathik Somayaji, Leah Sabu.
“Therapeutic potential of silkworm sericin in wound healing applications.”
Wound Repair and Regeneration, 2024 (IF-3.8, Q1, H-index – 133).

5. 🧑‍🔬 Monika Prakash, M.N. Chandraprabha, R. Hari Krishna, Harini Satish, S. Girish Kumar.
“Iron oxide nanoparticles for inflammatory bowel disease: Recent advances in diagnosis and targeted drug therapy.”
Applied Surface Science Advances. 2024, 19: 100540 (IF- 7.8, Q1).

6. 🔩 Gowda, Charishma C.; B., Lavanya; M. N., Chandra Prabha; Krishna, R. Hari; P., Monika.
“Bioceramics in Hip and Knee Implants.”
Journal of Mines, Metals & Fuels. 2023, 71 (3): 400-407. (Q4)

7. 🌿 Monika, Prakash, M. N. Chandraprabha, and K. N. Murthy.
“Catechin, epicatechin, curcumin, garlic, pomegranate peel and neem extracts of Indian origin showed enhanced anti-inflammatory potential in human primary acute and chronic wound derived fibroblasts by decreasing TGF-β and TNF-α expression.”
BMC Complementary Medicine and Therapies 23, no. 1 (2023): 1-16. (IF- 3.78, Q1)

8. 🧬 Monika, Prakash, M. N. Chandraprabha, KN Chidambara Murthy, P. Veena Waiker, and Annapoorni Rangarajan.
“Standardized ready-to-use laboratory protocol to isolate primary human wound associated fibroblasts from infected wound samples for clinical applications.”
Journal of Microbiological Methods (2023): 106712. (IF- 2.5, Q3)

9. 🧫 Monika, Prakash, M. N. Chandraprabha, and KN Chidambara Murthy.
“Gene expression studies in primary human acute and chronic wound fibroblasts treated with most popular wound healing phytoextracts.”
South African Journal of Botany 155 (2023): 205-213. (IF- 3.11, Q2).

10. 🔬 Krishna, R. Hari, M. N. Chandraprabha, Prakash Monika, Vishal Chaudhary, and C. Manjunatha.
“Biomolecule conjugated inorganic nanoparticles for biomedical applications: A review.”
Biotechnology and Genetic Engineering Reviews (2022): 1-42. (IF- 4.5, Q1).