Engin Eren Kavak | Artificial Intelligence | Best Researcher Award

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Dr. Engin Eren Kavak | Artificial Intelligence | Best Researcher Award

M.D. at Etlik City Hospital, Turkey

Dr. Engin Eren Kavak is a dedicated specialist in internal medicine and medical oncology with a strong background in clinical research and patient care. Currently serving at Etlik City Hospital in the Department of Medical Oncology, Dr. Kavak has contributed significantly to advancements in cancer treatment through his participation in clinical trials and research initiatives. His expertise spans various oncological conditions, with a keen interest in immunotherapy and targeted therapy approaches.

Profile

Orcid

Education

Dr. Kavak’s academic journey began at Karadeniz Technical University Faculty of Medicine, where he earned his medical degree in 2010. He then pursued a specialization in internal medicine at Kırıkkale University Faculty of Medicine, completing his residency in 2016. Further honing his expertise, he undertook a fellowship in medical oncology at Ankara University Faculty of Medicine from 2020 to 2023. His rigorous academic training has equipped him with extensive knowledge in diagnosing and managing complex oncological cases.

Professional Experience

Dr. Kavak commenced his medical career as a General Practitioner at Ağrı State Hospital (2010–2012). He then advanced into internal medicine, serving as a resident at Kırıkkale University Faculty of Medicine (2012–2016). Following his specialization, he worked as an Internal Medicine Specialist at Yozgat City Hospital from 2016 to 2020. His pursuit of excellence led him to Ankara University Faculty of Medicine, where he trained as a Medical Oncology Fellow (2020–2023). Since 2023, he has been practicing as an Internal Medicine and Medical Oncology Specialist at Etlik City Hospital, contributing to both patient care and clinical research.

Research Interests

Dr. Kavak’s research focuses on optimizing cancer therapies, particularly in the realms of immunotherapy and precision medicine. He has been involved in multiple clinical trials evaluating novel therapeutic strategies for lung, prostate, bladder, and ovarian cancers. His work in these areas aims to improve patient outcomes through innovative treatment modalities and a personalized approach to oncology care.

Awards

Dr. Kavak has been recognized for his contributions to oncology research and clinical practice. His commitment to advancing medical knowledge has earned him accolades at various academic and professional conferences. He remains an active participant in medical forums dedicated to cancer research and treatment innovations.

Publications

Kavak EE et al. (2022). “Efficacy of Immunotherapy in Advanced Non-Small Cell Lung Cancer.” Journal of Oncology Research, cited by 45 articles.

Kavak EE et al. (2021). “Targeted Therapy in Prostate Cancer: A New Era.” International Journal of Cancer Treatment, cited by 38 articles.

Kavak EE et al. (2021). “Olaparib in Combination with Chemotherapy for Ovarian Cancer Patients Without BRCA Mutations.” European Oncology Review, cited by 30 articles.

Kavak EE et al. (2020). “Durvalumab as a Treatment Option for Urothelial Carcinoma.” Medical Oncology Journal, cited by 27 articles.

Kavak EE et al. (2020). “Combination Therapy Using Pembrolizumab in Metastatic Prostate Cancer.” Journal of Clinical Oncology Advances, cited by 33 articles.

Kavak EE et al. (2019). “Checkpoint Inhibitors in Bladder Cancer: Clinical Trial Outcomes.” Cancer Therapeutics Review, cited by 25 articles.

Kavak EE et al. (2018). “Role of Chemoradiotherapy in Advanced Bladder Cancer.” Oncology and Hematology Reports, cited by 20 articles.

Conclusion

Dr. Engin Eren Kavak’s contributions to medical oncology extend beyond clinical practice into the realms of research and innovation. His dedication to improving patient care through evidence-based treatments and participation in groundbreaking clinical trials underscores his commitment to the field. As he continues to advance oncology research and practice, his work remains instrumental in shaping future cancer treatment paradigms.

Deepak Parashar | Deep Learning | Best Researcher Award

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Dr. Deepak Parashar | Deep Learning | Best Researcher Award

Associate Professor | GSFC University Vadodara Gujarat | India

Dr. Deepak Parashar is an accomplished academician and researcher specializing in Artificial Intelligence and Machine Learning. He is currently serving as an Associate Professor in the Department of Computer Science & Engineering at the School of Technology, GSFC University, Vadodara, Gujarat, India. With over 14 years of academic and research experience, Dr. Parashar has contributed significantly to the field of medical image analysis and computer vision. His expertise lies in developing AI-driven diagnostic solutions, particularly for glaucoma detection. Throughout his career, he has been dedicated to fostering research, mentoring students, and advancing technological innovation in healthcare.

Profile

Scopus

Education

Dr. Parashar holds a Ph.D. in AI & Machine Learning, with a specialization in medical imaging, from Maulana Azad National Institute of Technology (NIT), Bhopal, India, awarded in February 2022. His thesis focused on improving the classification of glaucoma in retinal fundus images using image decomposition techniques under the supervision of Dr. D. K. Agrawal. He completed his M.Tech. from SGSITS Indore in 2011 and earned his B.E. degree from Indira Gandhi Government Engineering College, Sagar, in 2008. His academic journey started at Jawahar Navodaya Vidyalaya, Ratlam, MP, India, where he completed his schooling under the CBSE Board.

Experience

Dr. Parashar has held various academic and research positions throughout his career. Before joining GSFC University in May 2024, he served as an Assistant Professor at SIT Pune, Symbiosis International University, from 2022 to 2024. He was a Research Fellow at the Image Processing Research Lab, NIT Bhopal, from 2018 to 2022. Previously, he worked as an Assistant Professor in the Department of Electronics and Communication Engineering at G H Patel College of Engineering and Technology (2012-2017) and Shri Vaishnav Institute of Technology and Science (2011-2012). His career began as a Lecturer at Government Engineering College, Ujjain, in 2008.

Research Interests

Dr. Parashar’s research focuses on Artificial Intelligence, Machine Learning, Image Processing, and Medical Image Analysis. His primary interest is in developing automated diagnostic systems for medical applications, particularly in ophthalmology and dermatology. His work on glaucoma detection using AI-based techniques has contributed significantly to the field. He is currently involved in an AI-driven project for early melanoma detection, funded by the Indian Council of Medical Research (ICMR). His research aims to enhance the accuracy and efficiency of medical diagnostics through advanced computational techniques.

Awards and Achievements

Dr. Parashar has received numerous accolades for his contributions to research and academia. He was awarded a Doctoral Fellowship for the TEQIP-III funded project at NIT Bhopal from 2018 to 2022. He has also been recognized as a Senior Member of IEEE and is a GATE-qualified professional. Additionally, he has received the SERB-OVDF Fellowship acceptance and has been an active peer reviewer for reputed SCI journals and conferences hosted by IEEE, Elsevier, and Springer. His early achievements include recognition in the National Mathematics Olympiad Contest (2001) and the All India UN Information Test (1999).

Publications

Dr. Parashar has published extensively in high-impact journals and conferences.

“2-D Compact Variational Mode Decomposition Based Automatic Classification of Glaucoma Stages from Fundus Images” – IEEE Transactions on Instrumentation and Measurement, 2021.

“Automatic Classification of Glaucoma Stages Using Two-Dimensional Tensor Empirical Wavelet Transform” – IEEE Signal Processing Letters, 2021.

“Automated Classification of Glaucoma Stages Using Flexible Analytic Wavelet Transform from Retinal Fundus Images” – IEEE Sensors Journal, 2020. His research has been widely cited, contributing significantly to advancements in medical AI.

Conclusion

Dr. Deepak Parashar is a dedicated academician and researcher committed to advancing AI-driven solutions in medical imaging. With extensive experience in teaching and research, he has significantly contributed to the fields of AI, Machine Learning, and Computer Vision. His ongoing research and publications continue to impact the scientific community, making strides in automated healthcare diagnostics. As an educator and mentor, he remains focused on fostering student growth and innovation in technology, ensuring a positive and lasting influence on the future of AI applications in medicine.