Gergely Szarka | Vision | Best Researcher Award

Dr. Gergely Szarka | Vision | Best Researcher Award

Dr. Gergely Szarka | Vision – Researcher at University of Pecs, Hungary

Dr. Gergely Szarka is a distinguished researcher in the field of neuroscience, with a specialized focus on retinal neurobiology. His work has significantly contributed to understanding the functional dynamics of retinal circuits, neuronal gap junctions, and neuromodulation processes. Through his extensive academic contributions, he has established himself as a leading figure in neurophysiological research. His innovative research approaches, coupled with a strong foundation in experimental and computational neuroscience, make him a highly respected scientist in his field.

Profile:

Orcid | Scopus

Education:

Dr. Szarka pursued his education at some of the most prestigious institutions. He earned his Bachelor’s and Master’s degrees in Biology from the University of Pécs, where he built a strong foundation in molecular and cellular neuroscience. He then completed his Ph.D. in Neuroscience at the same institution, focusing on retinal ganglion cells and their connectivity through gap junctions. Throughout his academic journey, he undertook various specialized courses and training programs, including international workshops in synthetic biology and computational neuroscience, further enhancing his expertise in the field.

Experience:

Dr. Szarka has accumulated extensive research and academic experience. He currently serves as an Assistant Professor at the University of Pécs, where he teaches courses in computational anatomy, cellular neurobiology, and experimental neuroscience. He is also an active researcher at the Retinal Neurobiology Research Group, contributing to cutting-edge studies on neural circuit integration and retinal disorders. His previous roles include research positions at internationally recognized institutions, where he collaborated on projects related to artificial intelligence applications in neuroscience and translational biomedical research.

Research Interests:

Dr. Szarka’s research interests encompass a wide range of topics in neuroscience, particularly retinal neurobiology. His primary focus lies in understanding the mechanisms of neuronal gap junctions and their role in visual signal processing. He also explores neurodegenerative diseases, investigating potential therapeutic interventions for retinal disorders. His interdisciplinary approach integrates computational modeling, electrophysiology, and molecular biology, enabling him to address complex questions in neural circuit function and neuroprotection strategies.

Awards:

Dr. Szarka’s excellence in research has been recognized through numerous prestigious awards and scholarships. He has been a recipient of the New National Excellence Program Scholarship (2018-2024), a testament to his outstanding contributions to scientific research. He was also honored with the Stephen W. Kuffler Research Scholarship (2019) for his groundbreaking work in retinal ganglion cell physiology. His achievements were further acknowledged when he secured 3rd place at the 18th International Medical PhD Conference at Charles University (2021), where he presented novel findings on the role of gap junctions in cell death and neuromodulation in the retina.

Publications 📚:

Dr. Szarka has contributed significantly to the field through his publications in high-impact journals. Below are some of his key works:

  1. Szarka, G. et al. (2018) – Strategic Positioning of Connexin36 Gap Junctions Across Human Retinal Ganglion Cell Dendritic Arbors, Frontiers in Cellular Neuroscience, 12, 409. 📖🔬 [Cited by: 50+]
  2. Kovács-Öller, T., Szarka, G. et al. (2019) – Response Latency Tuning by Retinal Circuits Modulates Signal Efficiency, Scientific Reports, 9(1), 15110. 📖💡 [Cited by: 40+]
  3. Szarka, G. et al. (2020) – The Role of Gap Junctions in Cell Death and Neuromodulation in the Retina, Neural Regeneration Research, 16(10), 1911. 🧠🔬 [Cited by: 35+]
  4. Kovács-Öller, T., Szarka, G. et al. (2020) – Imatinib Sets Pericyte Mosaic in the Retina, International Journal of Molecular Sciences, 21(7), 2522. 📖🧬 [Cited by: 30+]
  5. Balogh, B., Szarka, G. et al. (2021) – LED-Induced Microglial Activation and Rise in Caspase3 Suggest a Reorganization in the Retina, International Journal of Molecular Sciences, 22(19), 10418. 📖⚡ [Cited by: 25+]
  6. Szarka, G. et al. (2023) – Serotonin is a Gap Junction-Permeable Neuronal Tracer in the Mouse Retina, Frontiers in Ophthalmology, 3, 1151024. 📖🧐 [Cited by: 20+]
  7. Ganczer, A., Szarka, G. et al. (2022) – Transience of the Retinal Output is Determined by a Great Variety of Circuit Elements, Cells, 11(5), 810. 📖🔍 [Cited by: 18+]

Conclusion:

Dr. Gergely Szarka is an outstanding researcher whose work has made a lasting impact on the field of neuroscience. His contributions to retinal neurobiology, particularly in understanding neuronal connectivity and neuroprotection mechanisms, have been widely recognized and cited in the scientific community. With a strong academic background, a commitment to research excellence, and numerous accolades to his name, he stands as a formidable candidate for the Best Researcher Award. As he continues to push the boundaries of neurobiological research, his work is poised to influence future advancements in visual neuroscience and neural circuit studies.

 

Ghulam Mujtaba | Computer Vision | Computer Vision

Assist Prof Dr.Ghulam Mujtaba | Computer Vision |Best Researcher Award

Assistant Professor Regis University United States

Ghulam Mujtaba is a Postdoctoral Researcher at West Virginia University, specializing in deep learning and computer vision. With over seven years of industrial experience, he has developed state-of-the-art techniques for action recognition on resource-constrained edge devices. His work has led to the publication of over 10 refereed articles and one pending USA patent.

Profile

Scopus

Education 🎓

  • Ph.D. in Engineering (2018 – 2021), Gachon University, South Korea. Dissertation: “Lightweight Client-driven Personalized Multimedia Framework for Next Generation Streaming Platforms.”
  • M.Sc. in Computer Science (2014 – 2016), Indus University, Pakistan.
  • B.Sc. in Computer Science (2009 – 2013), COMSATS Institute of Information Technology, Pakistan.

Experience 💼

  • Postdoctoral Researcher, West Virginia University (2023 – Present)
  • Research Engineer, C-JeS Gulliver Studio, South Korea (2022 – 2023)
  • Senior Researcher, DeltaX, South Korea (2021 – 2022)
  • Visiting Researcher, MCSLab, Sungkyunkwan University, South Korea (2019 – 2021)
  • Graduate Research Assistant, Gachon University, South Korea (2018 – 2021)

Research Interests 🔍

Ghulam’s research focuses on Computer Vision, Deep Learning for Visual Analysis, and Multimedia Retrieval. He is passionate about developing lightweight deep learning models for edge devices and enhancing realism in digital human characters for Metaverse applications.

Awards 🏆

  • Korea Transportation Safety Authority Chairman Award for Self-Driving Data Contest 2021.
  • Amazon Research Award 2021 (proposal led to a patent application).

Publications 📚

  1. FRC-GIF: Frame Ranking-based Personalized Artistic Media Generation Method for Resource Constrained Devices, IEEE Transactions on Big Data, 2023. Cited by 7
  2. LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN, IEEE Access, 2022. Cited by 15
  3. Client-driven Animated GIF Generation Framework Using an Acoustic Feature, Multimedia Tools and Applications, 2021. Cited by 10
  4. Client-Driven Personalized Trailer Framework Using Thumbnail Containers, IEEE Access, 2020. Cited by 12
  5. Energy-Efficient Data Encryption Techniques in Smartphones, Wireless Personal Communications, 2019. Cited by 20