Kaan Kocali | Health Professions | Best Researcher Award

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Mr. Kaan Kocali | Health Professions | Best Researcher Award

Assistant Professor at Istanbul Gelisim University | Turkey

Dr. Koçali K. is a distinguished academic and occupational health and safety expert with a multidisciplinary background spanning engineering, health sciences, entrepreneurship, and business administration. Currently serving as an Assistant Professor at Istanbul Gelişim University, he is also the Head of the Department of Occupational Health and Safety at the university’s vocational school. His work demonstrates a strong commitment to improving workplace safety practices, risk management, and occupational regulations through extensive academic, project-based, and policy-oriented research.

Publication Profile 

Scopus

Orcid

Google Scholar

Educational Background 

Dr. Koçali holds a Ph.D. in Health and Safety from Istanbul Aydın University, complemented by two master’s degrees—one in Occupational Health and Safety and another in Mining Engineering. He also earned dual bachelor’s degrees in Business Administration and Mining Engineering, further expanding his academic foundation with ongoing undergraduate studies in Entrepreneurship at Istanbul Kultur University. His diverse academic portfolio positions him uniquely at the intersection of technology, management, and safety science.

Professional Experience 

Dr. Koçali is a faculty member at Istanbul Gelişim University, where he teaches and leads initiatives in occupational health and safety education. He also serves as the Head of the Department of Occupational Health and Safety at the university’s vocational school. In his administrative capacity, he chairs the Performance Evaluation Commission and contributes to the Education and Curriculum Board, Ethics Committee, and Internship and Quality Assurance Committees. His leadership extends to European academic exchange as the university’s Erasmus Coordinator.

Research Interests 

Dr. Koçali’s research encompasses a broad spectrum of topics related to occupational health and safety. His key interests include ergonomics and human factors, risk management, workplace inspection, safety in mining and logistics industries, work measurement, and methods engineering. He is also focused on the implementation and evaluation of international safety standards, as well as labor and social security policy analysis.

Awards and Honors 

Dr. Koçali has received numerous accolades recognizing his scholarly contributions. He has been named Best Researcher at the International Research Excellence Awards and earned an Academic Performance Award for ranking top within his department. He was also recognized as the Top Researcher at an International Conference on Cybersecurity. His earlier achievements include the Entrepreneurship Project Award from Istanbul Kultur University, multiple Best Researcher Awards at global conferences, and a prestigious TUBITAK 3001 Fellowship.

Publications 

  • Sosyal Güvenlik Kurumu’nun 2012-2020 Yılları Arası İş Kazaları Göstergelerinin Standardizasyonu
    Cited by: 46 Year: 2021

  • Calculation of Occupational Accident Indicators of Türkiye
    Cited by: 18 Year: 2021

  • Maden Kazalarında Sorumluluklar ve Kusur Oranları
    Cited by: 14 Year: 2021

  • Açık Ocak Maden İşletmelerinde İşçi Anketleri ile İş Sağlığı ve Güvenliği Kültürü ve Uygulamasının Araştırılması
    Cited by: 14 Year: 2018

  • Şırnak Kömür Madeni Kazası Işığında Kömür Madenciliğindeki Uygunsuzluklar Hakkında Öneriler
    Cited by: 10 Year: 2018

Conclusion 

Dr. Koçali K. stands out as an accomplished and forward-thinking academic, with a career that bridges health and safety engineering, strategic risk assessment, and educational leadership. His extensive research and certifications—such as NEBOSH, IOSH, and ISO Lead Auditor credentials—highlight his commitment to fostering safe and sustainable workplace environments. Through impactful publications, award-winning projects, and institutional leadership, he continues to play a vital role in shaping occupational health and safety practices both in Turkey and internationally.

 

 

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

 

 

 

Jatinder Kumar | Health Care Services | Best Researcher Award

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Dr. Jatinder Kumar | Health Care Services | Best Researcher Award

IT Professional at PGIMER, Chandigarh, India

Dynamic IT professional with over 25 years of experience in software development, network infrastructure, and IT solutions. Specializes in full-stack development, cloud computing (AWS, Azure), network security, and virtualization technologies. Experienced in integrating business strategy with technology to enhance IT operations. Holds extensive expertise in hospital information systems, data analytics, and artificial intelligence applications in healthcare.

Publication Profile 

Scopus

Educational Background 🎓

  • PhD in Computer Science, Chitkara University (2024)
  • Master of Philosophy (Computer Science), MMU, Sadopur, Ambala, Haryana (2013)
  • Master of Business Administration (MBA), Panjab University, Chandigarh (2006)
  • Master of Computer Applications (MCA), Panjab University, Chandigarh (1997)
  • Bachelor of Science (B.Sc.), M.A.M. College, Jammu (1994)

Professional Experience 💼

  • Software Engineer, Trident InfoTech Corporation Limited, Chandigarh
    • Developed software solutions and contributed to system design and deployment.
    • Worked on enterprise-level applications for various industries.
  • Computer Programmer, PGIMER, Chandigarh (Since 2001)
    • Key contributor to the implementation of the Hospital Information System (HIS) for a 2,500-bed hospital.
    • Designed and developed the inventory module using process flow diagrams and entity-relationship diagrams.
    • Enhanced patient care, reduced wait times, and streamlined administrative workflows.
    • Involved in system integration, cloud-based solutions, and data migration strategies.

Research Interests 🔬

  • Artificial intelligence and deep learning applications in healthcare.
  • Medical imaging and thyroid nodule analysis using deep learning models.
  • Multi-agent system frameworks for efficient hospital administration.
  • Cloud computing and security solutions for healthcare IT systems.
  • e-Governance and digital transformation in public healthcare.

Awards and Honors🏆✨

  • Best Paper Presentation, TELEMEDICON 2024, PGIMER, Chandigarh.
  • Best Paper Presentation, ICAAIML 2024, Hyderabad, India.
  • First Prize in Yoga Competition, International Yoga Day 2024, PGIMER, Chandigarh.
  • Represented Chandigarh in National Yoga Competitions in Telangana and Rajasthan.
  • Conducting yoga classes and educational support for underprivileged children in Chandigarh.
  • Various professional certifications in hardware, Oracle, and MCSE.

Conclusion🌟

With an extensive background in IT, healthcare systems, and artificial intelligence, the author has made significant contributions to hospital information systems and deep learning applications in medical imaging. His research and professional work have enhanced patient care and operational efficiency in healthcare institutions. Recognized for academic excellence and community service, he continues to drive innovation in AI-driven healthcare solutions and IT infrastructure development.

Publications 📚

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023, December). Deep Learning for Improved Thyroid Nodule Analysis in Ultrasound Images. INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS (IJRAR.ORG), Volume 10, Issue 4.

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023). Utilizing Deep Learning Models for the Classification of Thyroid Nodules in Ultrasound Images. The International Journal of Engineering and Science (IJES), Volume 12, Issue 11, Pages 18-31.

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023, December). An Overview of Deep Learning Methods for Segmenting Thyroid Ultrasound Images. International Journal of Advanced Engineering and Nano Technology (IJAENT), ISSN: 2347-6389 (Online), Volume 10, Issue 12.

📖 Kumar, J., Panda, S.N., Dayal, D., & Sharma, M. (2024). Enhancing Thyroid Nodule Assessment with Deep Learning and Ultrasound Imaging. e-Prime – Advances in Electrical Engineering, Electronics, and Energy (Scopus). (Submitted after revision, awaiting acceptance letter.)

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2023, November). Deep learning routes to thyroid ultrasound image segmentation: A review. AIP Conference Proceedings, Vol. 2878, No. 1. AIP Publishing.

🎙️ Kumar, J., Panda, S.N., Dayal, D., & Sharma, M. (2023, September). Review of Deep Learning Techniques Over Thyroid Ultrasound Image Segmentation. 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), pp. 320-326. IEEE.

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2023). Pediatric Thyroid Ultrasound Image Classification Using Deep Learning: A Review. Chitkara University Doctoral Consortium – CUDC 2023.

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2024). Improving Thyroid Nodule Evaluation Using Deep Learning and Ultrasound Imaging. National Telemedicine Conference – TELEMEDICON 2024, held in Chandigarh (November 28-30, 2024).