Sercan Karabulut | Health Professions | Best Scholar Award

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Assoc. Prof. Dr. Sercan Karabulut | Health Professions | Best Scholar Award

Akdeniz University School of Medicine | Turkey

Dr. Sercan Karabulut is an accomplished psychiatrist and academic currently serving at the Akdeniz University School of Medicine, Department of Psychiatry, Antalya, Turkey. He earned his Doctor of Medicine (MD) and completed his Psychiatry Residency at the İstanbul Medicine Faculty, where his scientific interest in the neurobiological mechanisms underlying mental disorders was first cultivated. Over the past decade, he has developed an exceptional academic and clinical career across leading institutions, including Antalya Atatürk State Hospital and Van Bölge Research and Training Hospital, focusing on the diagnosis, treatment, and prevention of psychiatric and substance use disorders. His primary research interests encompass addiction psychiatry, psychotic and mood disorders, neuroinflammation, and methamphetamine-related psychopathology, with a special focus on cognitive impairment and gender-based differences in substance use. Dr. Sercan Karabulut has authored 18 scientific publications, accumulating 195 citations from 193 documents and maintaining an h-index of 5, as indexed in Scopus (ID: 56073897200). His works have appeared in prominent journals, including Acta Neuropsychiatrica, Turkish Journal of Psychiatry, Journal of Drug Issues, and Alpha Psychiatry. Notable studies such as Inflammation and Neurodegeneration in Bipolar Disorder (2019) and Frequency of Methamphetamine Use (2024) have been widely cited and advanced the understanding of neuropsychiatric pathophysiology.

Profile: Scopus | ORCID | ResearchGate

Featured Publications

  1. Karabulut, S., Uzar Uçkun, S., & Genç, H. (2025, October). One year follow-up study of patients with opioid use disorder after inpatient detoxification: Predictors of treatment retention and abstinence. Psychiatry Research. https://doi.org/10.1016/j.psychres.2025.116765

  2. Erdoğan, A., Karabulut, S., Coşkun, M. N., & Tosun, O. (2025, October). Clinical factors associated with craving in patients with opioid use disorder receiving buprenorphine-naloxone maintenance therapy. Journal of Substance Use. https://doi.org/10.1080/14659891.2025.2568066

  3. Bilici, R., Ergelen Yalçın, M., Karabulut, S., & Arpacioglu, S. (2025, September). Validity and reliability study of the Turkish version of the Addiction Severity Index. Dusunen Adam: The Journal of Psychiatry and Neurological Sciences, 38, 180–186. https://doi.org/10.14744/DAJPNS.2025.00289

  4. Düzgün, M., Erdoğan, A., Karabulut, S., & Şafak, E. (2025, August). The impact of smartphone addiction and social media addiction on traffic safety. Journal of Public Health. https://doi.org/10.1007/s10389-025-02578-y

  5. Karabulut, S., & Uzar Uçkun, S. (2025, June). The association between Theory of Mind, psychopathic traits, borderline personality traits and the severity of substance use disorder in women: A comparative analysis. Alpha Psychiatry, 26(3), 44175. https://doi.org/10.31083/AP44175

 

Sonja Jahnke | Medicine and Health Sciences | Young Scientist Award

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Ms. Sonja Jahnke | Medicine and Health Sciences | Young Scientist Award

Group Practice Drs. Jahnke | Germany

Ms. Sonja Jahnke is a promising young physician-scientist whose academic trajectory reflects an exceptional blend of clinical excellence, research productivity, and international engagement in orthopaedics and sports medicine. She completed her medical education at Brandenburg Medical School (MHB), complemented by clinical rotations at Ludwig Maximilian University, University Hospital Brandenburg, and St. Vinzenz Hospital, where she gained comprehensive training in internal medicine, trauma care, orthopaedics, and sports orthopaedics. Since July 2025, she has been serving as a resident physician in training, advancing her clinical expertise while building upon her earlier role as a surgical assistant at Sporthopaedicum Berlin. Her research focuses on anterior cruciate ligament (ACL) reconstruction, rehabilitation strategies, and the influence of bracing and muscular strength on functional recovery, bridging biomechanics with patient-centered outcomes. Ms. Sonja Jahnke has authored three peer-reviewed publications indexed in Scopus, with 34 citations across 34 documents and an h-index of 2, reflecting her growing scholarly impact. Her contributions have appeared in leading journals such as the Journal of Clinical Medicine (2025), Sports Orthopaedics and Traumatology (2023), Efort Open Reviews (2023), and Healthcare Basel (2023), advancing knowledge on ACL rehabilitation, orthopaedic outcomes, and innovative treatment approaches. In addition, she has delivered invited presentations at prestigious international meetings, including ESSKA 2024 in Milan and the Berlin Arthroscopy Course, underscoring her recognition as a dynamic and insightful communicator. Her achievements have been further acknowledged with the Young Investigator Award from Brandenburg Medical School in 2022, highlighting her strong potential as an emerging leader in sports medicine research and clinical practice.

Profile: Scopus

Featured Publications

  1. Jahnke, S., Prill, R., Królikowska, A., & Becker, R. (2025, September). Test learning effects influence coordinative but not strength-related tasks in patients six months after anterior cruciate ligament reconstruction.

  2. Prill, R., Cruysen, C., Jahnke, S., & Becker, R. (2023, June). Der Einfluss von Bandagen und Orthesen auf die Performance in der Back in Action Testbatterie. Conference Paper.

  3. Diquattro, E., Jahnke, S., Traina, F., & Kopf, S. (2023, May). ACL surgery: Reasons for failure and management.

  4. Jahnke, S., Cruysen, C., Prill, R., & Becker, R. (2023, February). Protocol for a randomized crossover trial to evaluate the effect of soft brace and rigid orthosis on performance and readiness to return to sport six months post-ACL-reconstruction.

  5. Jahnke, S., Becker, R., Królikowska, A., & Prill, R. (2022, August). Manual estimation of hip abductor strength – A practical alternative to conventional assessment tools? Conference Paper.

  6. Jahnke, S., Królikowska, A., Becker, R., & Prill, R. (2022, August). Influence of hip abductor strength on pelvis and knee position during a single-leg landing test. Conference Paper.

  7. Rinaldi, V. G., Prill, R., Jahnke, S., & Becker, R. (2022, August). The influence of gluteal muscle strength deficits on dynamic knee valgus: A scoping review.

Nitika Dhingra | Health Professions | Best Researcher Award

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Dr. Nitika Dhingra | Health Professions | Best Researcher Award

Chitkara University | India

Dr. Nitika Dhingra  is an academic and researcher at Chitkara University, Punjab, India, with expertise in machine learning–integrated sensor development, non-destructive spectroscopy, and RF-based sensing technologies. She holds a Ph.D. in Electronics and Communication Engineering from Chitkara University, supported by an M.Tech from Punjabi University and a B.Tech from Punjab Technical University. Her research advances applications in food adulteration detection, construction material classification, and structural health monitoring of heritage sites. She has contributed significantly as a Junior and Senior Research Fellow under a DST-SHRI scheme, focusing on sensor design, embedded systems, and machine learning integration. In 2024, she secured a DST-funded research grant worth 27 Lakhs as Principal Investigator, demonstrating her leadership in high-impact projects. Her scholarly contributions include 12 publications indexed in Scopus, 9 citations across 8 documents, and an h-index of 2, along with several granted and filed patents. She has been honored with the Gandhian Young Technological Innovation Award, DST Senior Research Fellowship, and the Best Paper Presentation Award at ICAMSE, and was a semi-finalist in the DST–Texas Instruments Innovation Challenge. Dr. Nitika Dhingra’s career exemplifies innovation, academic excellence, and impactful contributions to science and technology.

Profile: Scopus

Featured Publications

  • Dhingra, N., Saluja, N., Garg, R., & Kanwar, V. (2023). Radio frequency as a non-destructive approach to concrete structure health monitoring. Iranian Journal of Science and Technology, Transactions of Civil Engineering. Cited by: 3.

  • Dhingra, N., Ghosh, D., Saluja, N., & Sabapathay, T. (2023). Radio frequency based sensor for adulteration measurement in a continuous two phase-flow of alcoholic beverages. Sensing and Imaging, 24(1), 32. Cited by: 2.

  • Dhingra, N., Saluja, N., Kanwar, V., & Garg, R. (2021). Moisture sensitive electrical property measurement in concrete slab with step graded antenna. Materials Today: Proceedings, 45, 5172–5176. Cited by: 2.

  • Dhingra, N., & Saluja, N. (2024). RF sensor-based adulterant discriminant estimation in mustard oil. Sensing and Imaging, 25(1), 59. Cited by: 1.

  • Dhingra, N., & Saluja, N. (2024). A novel non-destructive technique-based automated classification of construction material using machine learning. Asian Journal of Civil Engineering, 25(1), 805–810. Cited by: 1.

  • Geetanjali, Jindal, P., Saluja, N., Kashyap, N., & Dhingra, N. (2023). Design and optimization of wideband RF energy harvesting antenna for low-power wireless sensor applications. Proceedings of International Conference on Data Science and Applications. Cited by: 1.

Niloofar Choobin | Health Professions | Best Researcher Award

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Dr. Niloofar Choobin | Health Professions | Best Researcher Award

Hormozgan University of Medical Sciences | Iran

Dr. Niloofar Choobin is an accomplished Iranian researcher and healthcare informatics specialist, renowned for her pioneering work in artificial intelligence applications in healthcare. With a Master’s degree in Health Information Technology (expected 2025) and a strong academic foundation, she has emerged as a dynamic contributor to clinical decision support systems, digital health innovations, and AI-driven diagnostics. Her research spans key domains including cardiovascular health, oncology, and telemedicine. Recognized through multiple national awards and academic honors, she also serves as a mentor, workshop organizer, and reviewer for various research initiatives in Iran.

Author Profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

Niloofar Choobin stands out as a forward-thinking and technically adept researcher in the field of Health Information Technology, with a unique focus on AI-powered clinical diagnostics and digital health innovation. Her academic training—spanning a BSc and an ongoing MSc at Hormozgan University—has been translated into impactful research projects such as machine learning models for coronary artery disease and hypertension prediction using cohort data. She has presented her work at multiple national and international congresses and led workshops on systematic reviews and AI-driven healthcare tools, showcasing strong communication and mentoring abilities.

Her award history—including honors like the Top Researcher award, Innovation Finalist at the National Olympiad, and a 2nd place at the Health IT Innovation Festival—reinforces her standing as a leader among young Iranian researchers. Her cross-disciplinary expertise, including NLP, wearable tech, and IoT in medicine, bridges clinical and computational sciences. These achievements, along with her active involvement in peer review and academic organizing roles, reflect the hallmark of a researcher poised for global recognition.

🎓 Education

Niloofar completed her Bachelor of Science in Health Information Technology from Hormozgan University of Medical Sciences, Iran, in 2015. Currently, she is pursuing her Master of Science in Health Information Technology from the same institution (2023–2025), where her thesis focuses on the development and validation of machine learning models for early detection of coronary artery disease. Her academic path reflects a strong blend of theoretical learning and real-world clinical research applications.

💼 Experience

With a decade of progressive professional experience, Niloofar has held pivotal roles across Iran’s healthcare system. She currently serves as the Educational Affairs and Medical Student Coordinator at the Children’s Hospital in Bandar Abbas, where she facilitates medical education and research training. She has previously worked as a Medical Records Analyst at Chamran Trauma Hospital and as a Clinical Admissions Officer at Kosar Heart Hospital, demonstrating her extensive background in health data management and clinical informatics operations.

🧠 Research Interests On Health Professions

Niloofar’s research interests lie at the intersection of artificial intelligence and clinical medicine. She specializes in:

  • AI-powered clinical decision support

  • Machine learning models for cardiovascular and oncology diagnostics

  • Digital health innovations including IoT and smart monitoring

  • Natural language processing in medical documentation and text data

Her interdisciplinary approach bridges informatics, machine learning, and real-time patient care.

🏅 Awards

Niloofar’s innovative spirit has earned her numerous accolades. She was honored as the Top Researcher by the Hormozgan Student Research Committee (2014–2015) 🥇. In 2023, she was a finalist in the National Olympiad in Entrepreneurship and AI, and secured 2nd place at the National Health IT Innovation Festival in Mashhad (2022). She also won the Provincial Innovation Award in 2015, cementing her status as a promising researcher and innovator in digital health and AI.

📚 Publications

Niloofar has contributed to both academic literature and national congresses with a strong focus on AI applications in healthcare. Selected publications include:

  • Tracking Health: Wearable Technology in Cancer Care – A systematic review analyzing wearable solutions in oncology monitoring. (Published 2023)

  • Smart Post-Chemotherapy Care: IoT and AI-based Monitoring System for Breast Cancer Patients (Submitted, 2024)

  • Telemedicine in Hypertension Management During COVID-19 – A comprehensive review of remote care strategies during the pandemic. (Published 2022)

She has delivered numerous national/international presentations on topics such as:

  • VR in surgical simulations

  • OCT image analysis for cardiovascular diseases

  • Machine learning in PCO and osteosarcoma

  • Applications of ChatGPT in modern medicine

🧾 Conclusion

🔍 With a rare blend of technical depth, research acumen, and healthcare domain experience, Niloofar Choobin is a standout candidate for any prestigious research award in health informatics or AI in medicine. Her continued efforts to integrate machine learning into clinical workflows and her passion for digital transformation of healthcare highlight her future potential as a global thought leader in this field. From winning national competitions to mentoring future researchers, she embodies the qualities of innovation, dedication, and academic excellence.