Dimosthenis Chochlakis | Microbiology | Best Researcher Award

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Dr. Dimosthenis Chochlakis | Microbiology | Best Researcher Award

Researcher Microbiology-epidemiology at School of Medicine/University of Crete, Greece

Dr. Dimosthenis Chochlakis is a seasoned molecular microbiologist and medical biochemist affiliated with the University of Crete’s School of Medicine. With over two decades of experience in research, diagnostics, and academic teaching, he has made significant contributions to the understanding and surveillance of vector-, water-, and food-borne pathogens. His work bridges clinical microbiology and public health, emphasizing interdisciplinary methods, molecular diagnostics, and applied research.

Publication ProfileΒ 

Scopus

Educational Background πŸŽ“

  • PhD in Molecular Microbiology (2006–2009)
    University of Crete, School of Medicine, Greece

  • MSc in Clinical Biochemistry with Molecular Biology (2000–2001)
    University of Surrey, Guildford, UK

  • BSc in Medical Biochemistry (1997–2000)
    University of Surrey, Guildford, UK

Professional Experience πŸ’Ό

  • 2015–Present: Biochemistry & Microbiology Researcher
    Laboratory of Clinical Bacteriology, Parasitology, Zoonoses and Geographical Medicine, University of Crete

  • 2009–2014: Biochemistry & Microbiology Specialist
    Regional Laboratory of Public Health of Crete, National School of Public Health, Greece

  • 2004–2009: Research Associate
    Laboratory of Clinical Bacteriology, Parasitology, Zoonoses and Geographical Medicine, University of Crete

  • Various Teaching Roles (2004–2023): Lecturer in Biochemistry, Pharmacology, Microbial Metabolism, Fermentation, Public Health, and Zoonoses at vocational institutes and universities, including the University of Crete

  • Supervision: Has supervised 10 undergraduate and postgraduate students on diverse microbiological research topics.

Research Interests πŸ”¬

  • Molecular epidemiology and laboratory diagnosis of zoonoses, especially tick-, water-, and food-borne pathogens

  • Surveillance systems and public health interventions related to Legionella, Coxiella burnetii, Leptospira, Listeria, and Vibrio species

  • Application of molecular diagnostics, GIS-based epidemiological mapping, and proteomics

  • Development of environmental surveillance tools for cross-border infectious threats

  • Public health microbiology with a focus on climate-influenced pathogen transmission

Awards and HonorsπŸ†βœ¨

  • Certified Evaluator, General Secretariat of Research and Technology (Greece), since 2016

  • Numerous invitations to lecture in postgraduate programs and international courses

  • Active organizer and technical committee member in international scientific events, including EurNegVec and BEPR

  • Participated in international collaborations (e.g., Serbia Ministry of Education, EU Horizon projects)

Conclusion🌟

Dr. Dimosthenis Chochlakis stands out as a distinguished researcher with sustained contributions to public health microbiology and zoonotic disease control. His interdisciplinary expertise in molecular microbiology, diagnostics, teaching, and field-based epidemiology makes him a vital contributor to the European and Mediterranean infectious disease surveillance landscape. His proactive involvement in EU-funded projects and teaching initiatives demonstrates leadership, innovation, and an ongoing commitment to advancing scientific knowledge and public health interventions.

Publications πŸ“š

  • 🧬 A customizable multiplex protein microarray for antibody testing and its application for tick-borne and other infectious diseases
    πŸ‘¨β€πŸ”¬ H.K. Krishnamurthy, V. Jayaraman, K. Krishna, … A.M. EscΓ‘rcega Ávila, J.J. Rajasekaran
    πŸ“ Scientific Reports | πŸ“… 2025 | πŸ“Š Citations: 0

  • πŸ’§ Challenges on the implementation of wastewater-based epidemiology as a prediction tool: the paradigm of SARS-CoV-2
    πŸ‘¨β€πŸ”¬ D. Chochlakis, G. Tzedakis, A. Kokkinomagoula, … V. Sakkalis, A. Psaroulaki
    πŸ“ Science of the Total Environment | πŸ“… 2025 | πŸ“Š Citations: 0

  • πŸ–οΈ Recreational Water Safety in Hotels: Lessons from the COVID-19 Pandemic and the Way Forward for a Safe Aquatic Environment
    πŸ‘¨β€πŸ”¬ A. Papadakis, D. Chochlakis, E. Koufakis, V.J. Karagianni, A. Psaroulaki
    πŸ“ Tourism and Hospitality | πŸ“… 2024 | πŸ“Š Citations: 1 | πŸ”“ Open Access

  • 🚿 Multi-criterion analysis of the effect of physico-chemical microbiological agents on Legionella detection in hotel water distribution systems in Crete
    πŸ‘¨β€πŸ”¬ D. Chochlakis, V. Sandalakis, A. Ntoukakis, … C. Panoulis, A. Psaroulaki
    πŸ“ Frontiers in Cellular and Infection Microbiology | πŸ“… 2023 | πŸ“Š Citations: 0 | πŸ”“ Open Access

  • 🦠 Giant cell arteritis associated with acute Q fever – A case report
    πŸ‘¨β€πŸ”¬ E. Sarra, C.C. Mylonas, G.A. Tsekes, … A. Psaroulaki, Μ.C. Chini
    πŸ“ Journal of Infection and Chemotherapy | πŸ“… 2022 | πŸ“Š Citations: 0

  • 🏊 Swimming Pool Regulations in the COVID-19 Era: Assessing Acceptability and Compliance in Greek Hotels in Two Consecutive Summer Touristic Periods
    πŸ‘¨β€πŸ”¬ K. Mellou, A. Mplougoura, G.D. Mandilara, … A. Psaroulaki, A.T. Mavridou
    πŸ“ Water Switzerland | πŸ“… 2022 | πŸ“Š Citations: 4 | πŸ”“ Open Access

  • πŸ‘ Serological survey of Chlamydia abortus in Greek dairy sheep flocks
    πŸ‘¨β€πŸ”¬ E.I. Petridou, E.A. Kiossis, D. Chochlakis, … M. Baratelli, N.D. Giadinis
    πŸ“ Journal of the Hellenic Veterinary Medical Society | πŸ“… 2022 | πŸ“Š Citations: 0 | πŸ”“ Open Access

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 ProfileΒ 

Scopus

Educational Background πŸŽ“

  • 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 πŸ’Ό

  • 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 πŸ”¬

  • 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 HonorsπŸ†βœ¨

  • 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 πŸ“š

πŸ“– 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.

πŸ“– 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.

πŸ“– 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.

πŸ“– 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.)

πŸŽ™οΈ 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.

πŸŽ™οΈ 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.

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

πŸŽ™οΈ 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).