Congbo Cai | Neurotechnology | Best Researcher Award

Published on 10/10/2025 by Neuroscientists

Prof. Dr. Congbo Cai | Neurotechnology | Best Researcher Award

Prof. Dr. Congbo Cai | Xiamen University | China

Professor Congbo Cai is a distinguished researcher at the School of Electronic Science and Technology, Xiamen University, specializing in advanced Magnetic Resonance Imaging (MRI) technology development. His research encompasses ultra-fast imaging, multi-parametric quantitative MRI, deep learning reconstruction, novel neuroimaging techniques, and quantitative medical image analysis. He has led and contributed to numerous high-impact projects, including national key R&D programs, NSFC key projects, and international cooperative projects, with funding totaling several million yuan. His innovations include pioneering high-entropy encoding and overlapping-echo designs, enabling rapid, high-fidelity MRI mapping, and integrating physics-informed deep learning for enhanced image reconstruction and clinical applications. Professor Cai has published over 80 papers in leading journals such as NeuroImage, IEEE Transactions on Medical Imaging, and Medical Image Analysis. He holds 12 patents and serves on editorial boards, including Health and Metabolism, and as a guest editor for Frontiers in Neuroscience. His professional contributions extend to active membership and leadership roles in major MRI societies. His work has garnered significant academic recognition, with a citation count exceeding 2,300 across 872 documents, an h-index of 25, and an i10-index of 55. Professor Cai’s research continues to advance MRI science, bridging cutting-edge technology and clinical translation.

Profiles: Scopus | Google Scholar | Research Gate | Linked In

Featured publications

Author(s). (2018). Accelerating multi-slice spatiotemporally encoded MRI with simultaneous echo refocusing. Journal of Magnetic Resonance.
Author(s). (2018). Single-shot T2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network. Magnetic Resonance in Medicine.
Author(s). (2018). Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network. Computers in Biology and Medicine.
Author(s). (2018). Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method. Chinese Physics B.
Author(s). (2018). Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in Biology and Medicine.
Author(s). (2018). Motion-tolerant diffusion mapping based on single-shot overlapping-echo detachment (OLED) planar imaging. Magnetic Resonance in Medicine.

Musawer Hakimi | Systems Neuroscience | Best Researcher Award

Published on 08/10/202508/10/2025 by Neuroscientists

Mr. Musawer Hakimi | Systems Neuroscience | Best Researcher Award

Mr. Musawer Hakimi | Samangan University | Afghanistan

Mr. Musawer Hakimi is an accomplished Assistant Professor at Samangan University, specializing in Computer Science. He holds a Bachelor’s degree in Computer Science from India and a Master’s degree in Information Technology from Kabul University. Demonstrating a strong commitment to lifelong learning, he has earned 25 professional certificates in Computer Science from India, along with two specialized certifications in Ethical Hacking and Oracle Database from the United States. His academic excellence and research contributions have positioned him as a respected scholar with 3 published documents, 13 citations, and an h-index of 1. Mr. Hakimi’s scholarly work has been featured in reputable international journals across the United Kingdom, the United States, Turkey, Sweden, and Indonesia, reflecting his active engagement in global research networks. Beyond his research achievements, he is dedicated to nurturing future computer scientists through his teaching and mentorship at the Public University of Afghanistan, where he plays an instrumental role in advancing computer science education. His interdisciplinary expertise, international collaborations, and consistent scholarly output underscore his impact as an educator, researcher, and thought leader in the evolving field of computer science, contributing to the growth of academic excellence and innovation within Afghanistan and the broader global academic community.

Profiles: Scopus | Orcid | Google Scholar | Research Gate

Featured Publications

Quraishi, T., Ulusi, H., Muhid, A., Hakimi, M., & Olusi, M. R. (2024). Empowering students through digital literacy: A case study of successful integration in a higher education curriculum. Journal of Digital Learning and Distance Education, 2(9), 667–681.

Fazil, A. W., Hakimi, M., Shahidzay, A. K., & Hasas, A. (2024). Exploring the broad impact of AI technologies on student engagement and academic performance in university settings in Afghanistan. RIGGS: Journal of Artificial Intelligence and Digital Business, 2(2), 56–63.

Hakimi, M., Katebzadah, S., & Fazil, A. W. (2024). Comprehensive insights into e-learning in contemporary education: Analyzing trends, challenges, and best practices. Journal of Education and Teaching Learning (JETL), 6(1), 86–105.

Hakimi, N., Hakimi, M., Hejran, M., Quraishi, T., Qasemi, P., Ahmadi, L., & others. (2024). Challenges and opportunities of e-learning for women’s education in developing countries: Insights from Women Online University. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(1), 57–69.

Hasas, A., Hakimi, M., Shahidzay, A. K., & Fazil, A. W. (2024). AI for social good: Leveraging artificial intelligence for community development. Journal of Community Service and Society Empowerment, 2(2), 196–210.

Fazil, A. W., Hakimi, M., Sajid, S., Quchi, M. M., & Khaliqyar, K. Q. (2023). Enhancing internet safety and cybersecurity awareness among secondary and high school students in Afghanistan: A case study of Badakhshan Province. American Journal of Education and Technology, 2(4), 50–61.

Alam, M. I., Khatri, S., Shukla, D. K., Misra, N. K., Satpathy, S., & Hakimi, M. (2025). Blockchain-based coal supply chain management system for thermal power plants. Discover Computing, 28(1), 1–32.

Behrouz vaseghi | Computational Neuroscience | Best Researcher Award

Published on 04/06/2025 by Neuroscientists

Dr. Behrouz vaseghi | Computational Neuroscience | Best Researcher Award

Dr. Behrouz Vaseghi is a distinguished Iranian academic and researcher specializing in communication engineering, with a focus on signal processing, chaotic communication systems, pattern recognition, and audio/video processing. He holds a Ph.D. in Communication Engineering from Azad University in Tehran, where he developed a highly acclaimed thesis on secure communication systems using chaos synchronization. With over a decade of teaching experience, he has significantly contributed to undergraduate, master’s, and Ph.D. education at Azad University. He has authored multiple impactful journal articles, collaborated with international scholars, and earned a Google Scholar h-index of 8 with over 460 citations. His research continues to push boundaries in secure communications and pattern-based systems, making him a key figure in both academic and applied domains.

Profile

Google Scholar

Scopus

📘 Early Academic Pursuits

Behrouz Vaseghi embarked on his academic journey in the field of electrical engineering with a strong focus on electronics. He completed his B.Sc. degree in Electrical Engineering (Electronics) from the Najafabad Branch of Azad University in Isfahan, Iran, in 2004 with a GPA of 15.66/20. His undergraduate thesis, centered on designing a new programmer for the 805X IC family, already demonstrated his inclination toward applied technical innovation. He continued his education with an M.Sc. in Communication Engineering from the same university (2005–2008), achieving an impressive GPA of 18.57/20. During this period, he conducted advanced research in the realm of offline Farsi/Arabic handwritten word recognition using vector quantization and hidden Markov models. His academic dedication led him further into doctoral studies at the Science and Research Branch of Azad University in Tehran, where he earned a Ph.D. in Communication Engineering (2013–2016), graduating with a GPA of 16.88/20. His Ph.D. thesis on the design of a secure communication system based on chaotic synchronization in wireless sensor networks was awarded an “Excellent” grade, underscoring his academic prowess.

🎓 Professional Endeavors

Dr. Vaseghi has been serving as an Assistant Professor at Azad University since 2009. Over the years, he has taught a wide range of advanced courses, including communication systems, pattern recognition, artificial neural networks, digital signal processing, and communication circuits across B.Sc., M.Sc., and Ph.D. levels. Beyond teaching, he has been an active supervisor and mentor for numerous undergraduate, postgraduate, and doctoral research projects. His professional presence is also visible in his consistent participation in academic forums, leadership in research collaborations, and mentoring roles that support the next generation of engineers and scholars.

🧠 Contributions and Research Focus

A researcher driven by curiosity and innovation, Behrouz Vaseghi’s scholarly contributions span several cutting-edge domains within electrical and communication engineering. His main areas of interest include signal processing, chaotic communication systems, chaos synchronization, pattern recognition, and both audio and video processing. His work reflects a deep integration of theory and application—particularly in the synchronization of chaotic systems for secure communication, a field with growing significance in cyber-physical and wireless sensor networks. His scholarly output includes numerous peer-reviewed journal articles, such as recent work on nonsingular chattering-free barrier function tracking for perturbed systems, co-authored with renowned global experts.

🏅 Accolades and Recognition

Throughout his academic career, Dr. Vaseghi has built a solid reputation both within Iran and internationally. With over 460 citations on Google Scholar and an h-index of 8, his work is recognized for its scholarly rigor and influence. His doctoral thesis was awarded the highest distinction, reflecting the depth and innovation of his research. As a frequent contributor to both national and international scientific journals, he has established himself as a recognized voice in his domain. His collaborations with international scholars further reinforce his standing in the global research community.

🌍 Impact and Influence

Dr. Vaseghi’s research has significant implications across both academia and industry. His work in secure communication using chaotic systems addresses critical challenges in modern communication infrastructure, especially in wireless sensor networks where data integrity and security are paramount. His interdisciplinary approach—bridging signal processing, pattern recognition, and nonlinear systems—has enabled innovative solutions in fields ranging from surveillance to intelligent communication frameworks. He continues to impact the field through academic mentorship and collaborative research that pushes the boundaries of engineering science.

🔬 Legacy and Future Contributions

Dr. Behrouz Vaseghi’s commitment to advancing knowledge in communication systems and signal processing is evident in both his academic and research trajectories. He stands as a dedicated educator and a forward-thinking researcher who is shaping future developments in chaos-based communication and intelligent signal systems. As he continues to publish and mentor, his legacy is being built not just through his own achievements but through the success of his students and the broader application of his research in real-world technologies. With ongoing global challenges in communication security, Dr. Vaseghi’s expertise is expected to remain vital in pioneering resilient and adaptive systems.

📡 Vision in Chaotic Communication and Secure Systems

A distinctive feature of Dr. Vaseghi’s research portfolio is his pioneering work in chaotic systems and their synchronization for secure data transmission. His doctoral work laid the foundation for developing communication systems that harness chaos theory to resist noise, interference, and cyber threats. This vision aligns with the growing demands for secure and efficient networks in the era of IoT and Industry 4.0. By integrating nonlinear dynamics into communication frameworks, his work offers promising avenues for next-generation cryptographic and signal encoding strategies. This domain continues to be a focal point in his research, reflecting a future-oriented commitment to both scientific advancement and societal needs.

Publication

Title: Secure communication in wireless sensor networks based on chaos synchronization using adaptive sliding mode control
Authors: B Vaseghi, MA Pourmina, S Mobayen
Year: 2017

Title: Fast reaching finite time synchronization approach for chaotic systems with application in medical image encryption
Authors: B Vaseghi, S Mobayen, SS Hashemi, A Fekih
Year: 2021

Title: Finite time chaos synchronization in time-delay channel and its application to satellite image encryption in OFDM communication systems
Authors: B Vaseghi, SS Hashemi, S Mobayen, A Fekih
Year: 2021

Title: Finite-time chaos synchronization and its application in wireless sensor networks
Authors: B Vaseghi, MA Pourmina, S Mobayen
Year: 2018

Title: A chaotic system with infinite number of equilibria located on an exponential curve and its chaos-based engineering application
Authors: S Mobayen, CK Volos, S Kaçar, Ü Çavuşoğlu, B Vaseghi
Year: 2018

Title: Complex dynamical behaviors of a novel exponential hyper–chaotic system and its application in fast synchronization and color image encryption
Authors: J Mostafaee, S Mobayen, B Vaseghi, M Vahedi, A Fekih
Year: 2021

Title: Graphology for Farsi Handwriting Using Image Processing Techniques
Authors: FT Somayeh Hashemi, Behrouz Vaseghi
Year: 2015

Title: Dynamical analysis and adaptive finite-time sliding mode control approach of the financial fractional-order chaotic system
Authors: MD Johansyah, A Sambas, S Mobayen, B Vaseghi, SF Al-Azzawi, Sukono, …
Year: 2022

Title: Two-dimensional stockwell transform and deep convolutional neural network for multi-class diagnosis of pathological brain
Authors: M Soleimani, A Vahidi, B Vaseghi
Year: 2020

Title: Finite-time synchronization of a new five-dimensional hyper-chaotic system via terminal sliding mode control
Authors: J Mostafaee, S Mobayen, B Vaseghi, M Vahedi
Year: 2023

✅ Conclusion

Dr. Behrouz Vaseghi’s career is a compelling blend of academic excellence, innovative research, and dedicated mentorship. His profound contributions in chaos-based secure communication and signal processing not only demonstrate his technical depth but also address real-world challenges in modern digital infrastructures. With a strong publication record and an active role in shaping future engineers, Dr. Vaseghi stands out as a valuable asset to the global research community. His ongoing work ensures that he will remain a leader in advancing secure, efficient, and intelligent communication systems for years to come.

Alex Armstrong | Systems Neuroscience | Young Scientist Award

Published on 06/05/202506/05/2025 by Neuroscientists

Mr. Alex Armstrong | Systems Neuroscience | Young Scientist Award

Mr. Alex Armstrong, University of Illinois, Urbana-Champaign, United States.

Alex Armstrong is an emerging leader in the field of systems neuroscience with a rich academic background and a global research footprint. Starting with a strong foundation in pharmacology from the University of Manchester and early research experience in China, he has built an interdisciplinary career that bridges experimental, computational, and translational neuroscience. His Ph.D. work at the University of Illinois Urbana-Champaign, under the guidance of Prof. Yurii Vlasov, focuses on the neural mechanisms of perceptual decision-making using innovative tools like tactile virtual reality and localized lesioning techniques. He has also played integral roles in teaching, mentoring, and collaborative NIH-funded research involving cutting-edge neural probes. His contributions span from fundamental neuroscience to neuroengineering, with multiple international presentations and a growing reputation in both academic and applied research communities.

Profile

Google Scholar

🎓 Early Academic Pursuits

Alex Armstrong’s journey into the world of neuroscience began with a strong academic foundation in Pharmacology at the University of Manchester, where he earned a BSc (Honors) degree in 2017. During his undergraduate studies, he delved into the neural effects of psychoactive substances, leading a research project examining the influence of various drugs on receptive fields in the rat lateral geniculate nucleus. His academic curiosity was not confined to the lab; Alex actively mentored disadvantaged youth in science and mathematics through the CityWise charity, demonstrating an early commitment to both education and societal impact. His academic appetite took a global turn when he received a competitive scholarship to Nanjing Medical University in China. There, he shadowed urologists and contributed to prostate cancer research by processing tumor samples and supporting manuscript preparation under the mentorship of Dr. Jian Lin. This early immersion into translational research laid the groundwork for his future endeavors in systems neuroscience.

🧠 Research Focus and Innovation

Currently pursuing his Ph.D. at the University of Illinois Urbana-Champaign, Alex Armstrong is at the forefront of neuroscience research under the mentorship of Professor Yurii Vlasov, a member of the National Academy of Engineering. His research seeks to unravel the neural underpinnings of perceptual decision-making using advanced technologies. Alex has pioneered the development of a novel tactile virtual reality system tailored for mice, enabling precise behavioral and neural investigations in ecologically valid scenarios. His contributions also include designing a localized lesioning technique to dissect the causal roles of specific cortical regions with unmatched spatial and temporal resolution. This work reflects his deep integration of behavior, electrophysiology, histology, and computational modeling — a rare confluence of skills that pushes the boundaries of systems neuroscience.

🔬 Professional Endeavors and Laboratory Leadership

Alex’s career includes impactful positions across globally renowned institutions. Prior to his doctoral studies, he served as a Research Technician at University College London, working in auditory neuroscience labs with PIs Jennifer Linden and Nicholas Lesica. There, he independently managed experiments related to auditory perception and hearing aid technology, leading both behavioral training and neural recordings. At UIUC, his laboratory involvement extends beyond individual research: he performs surgeries, manages mouse colonies, trains new graduate and undergraduate researchers, and leads collaborative NIH-funded projects investigating simultaneous electrical and chemical neural activity during seizures. Alex is a dependable pillar in the lab, bridging experiment and innovation through hands-on mentorship and project leadership.

🏆 Accolades and Recognition

Alex’s academic and scientific contributions have been recognized at multiple levels. He has presented his work through nine conference talks and poster presentations at premier forums including Barrels, the Society for Neuroscience, and AREADNE between 2021 and 2024. His visibility within the academic community extends to teaching, where he was entrusted as a Teaching Assistant for the competitive Neural Interface Engineering course (ECE421) in 2024 and 2025, guiding over 50 students through workshops, lessons, and exam reviews. His role on the UIUC neuroscience seminar committee in 2022 further demonstrated his leadership in promoting interdisciplinary dialogue, as he invited top neuroscientists from across the world to contribute to the university’s vibrant intellectual atmosphere.

🧪 Scientific Contributions and Methodological Advancements

One of Alex Armstrong’s most significant contributions lies in his ability to blend experimental neuroscience with computational modeling. His proficiency spans advanced analytical methods including Generalized Linear Models (GLM), Drift Diffusion Models (DDM), Dimensionality Reduction, and DyNetCP, positioning him at the intersection of theory and practice. His work not only provides high-resolution insights into brain function but also informs the design of next-generation neural interface devices. His leadership in testing novel neural probes capable of simultaneously recording both electrical and chemical signals underlines his commitment to tool development in neuroscience — a field critical to brain–machine interface technologies and precision neuromodulation.

🌍 Impact and Influence

Alex Armstrong’s research has both immediate and long-term scientific value. By enhancing our understanding of the cortical mechanisms underlying decision-making, his work informs the broader fields of psychology, cognitive science, and artificial intelligence. His contributions to probe testing during seizure dynamics have implications for epilepsy research, potentially opening doors for better diagnostics and treatment strategies. Furthermore, his global academic experience — spanning the U.K., U.S., and China — contributes to his inclusive scientific perspective and ability to work across cultural and institutional boundaries. He has not only advanced science but also nurtured future researchers through consistent mentoring and training roles.

🚀 Legacy and Future Contributions

Looking ahead, Alex Armstrong is poised to become a leading figure in systems neuroscience, particularly in decoding the neural basis of cognition and behavior. With a solid foundation in experimentation, programming, and tool development, he is uniquely equipped to tackle the grand challenges of brain science in the 21st century. His efforts are steadily laying a legacy of open, interdisciplinary research, bridging the biological and engineering aspects of neuroscience. Whether through innovative VR paradigms for animal behavior, high-density probe validation, or collaborative research across continents, Alex continues to pave the way for future breakthroughs in understanding the human brain.

Publication

Title: Targeting AXL overcomes resistance to docetaxel therapy in advanced prostate cancer
Authors: JZ Lin, ZJ Wang, W De, M Zheng, WZ Xu, HF Wu, A Armstrong, JG Zhu
Year: 2017

Title: Compression and amplification algorithms in hearing aids impair the selectivity of neural responses to speech
Authors: AG Armstrong, CC Lam, S Sabesan, NA Lesica
Year: 2022

Title: The hearing aid dilemma: amplification, compression, and distortion of the neural code
Authors: A Armstrong, CC Lam, S Sabesan, NA Lesica
Year: 2020

Title: Nonlinear sensitivity to acoustic context is a stable feature of neuronal responses to complex sounds in auditory cortex of awake mice
Authors: M Akritas, AG Armstrong, JM Lebert, AF Meyer, M Sahani, JF Linden
Year: 2024

Title: Contextual modulation is a stable feature of the neural code in auditory cortex of awake mice
Authors: M Akritas, AG Armstrong, JM Lebert, AF Meyer, M Sahani, JF Linden
Year: 2023

Title: Neuropeptides in the Extracellular Space of the Mouse Cortex Measured by Nanodialysis Probe Coupled with LC-MS
Authors: K Li, W Shi, Y Tan, Y Ding, A Armstrong, Y Vlasov, J Sweedler
Year: 2025

Title: Neural correlates of perceptual decision making in primary somatosensory cortex
Authors: A Armstrong, Y Vlasov
Year: 2025

Title: Perceptual decision-making during whisker-guided navigation causally depends on a single cortical barrel column
Authors: AG Armstrong, Y Vlasov
Year: 2025

✅ Conclusion

Alex Armstrong exemplifies the next generation of neuroscientists—technically skilled, globally experienced, and intellectually versatile. His ability to merge behavioral neuroscience with advanced computational tools and engineering innovations positions him at the forefront of brain research. As he continues to contribute to our understanding of neural dynamics and brain–machine interfaces, Alex is set to leave a lasting impact on neuroscience and its applications in medicine and technology. His trajectory reflects not just scientific excellence, but also a commitment to mentorship, interdisciplinary collaboration, and innovation-driven discovery.

Koagne Longpa Tamo Silas | Neuroinformatics | Pioneer Researcher Award

Published on 29/03/2025 by Neuroscientists

Mr. Koagne Longpa Tamo Silas | Neuroinformatics | Pioneer Researcher Award

Mr. Koagne Longpa Tamo Silas, University of Dschang, Cameroon.

Koagne Longpa Tamo Silas is a dedicated researcher in the field of medical physics, specializing in automation, artificial intelligence, and electronic system design. His academic journey from Bamenda State University to Dschang State University reflects his continuous pursuit of knowledge and innovation. His contributions to circuit simulation, embedded systems, and artificial neural networks have established him as a promising figure in medical physics.

Profile

Google Scholar

🎓 Early Academic Pursuits

Born on July 12, 1998, in Mbouda, Cameroon, Koagne Longpa Tamo Silas displayed a keen interest in science and technology from a young age. His passion for physics and engineering led him to pursue higher education at Bamenda State University, where he embarked on an academic journey in Electrical and Power Engineering. His undergraduate studies, from November 2015 to August 2018, laid the foundation for his expertise in electrical systems, automation, and circuit design. Eager to expand his knowledge, he continued his postgraduate studies in the same field at Bamenda State University from September 2018 to July 2020, honing his skills in power engineering and applied electronics.

🚀 Professional Endeavors

Determined to deepen his expertise, Koagne Longpa Tamo Silas transitioned into the field of physics, enrolling as a Ph.D. student at Dschang State University in December 2022. His academic pursuits in the Department of Physics align with his interests in medical physics, where he integrates automation, applied computer science, and electronics to innovate in the field. As a dedicated researcher, he continues to engage with the Faculty of Science at Dschang State University, contributing to the academic and scientific community with his research in medical physics and embedded systems.

🤖 Contributions and Research Focus

Koagne Longpa Tamo Silas has dedicated his research efforts to the intersection of medical physics, automation, and artificial intelligence. His work encompasses Analog Artificial Neural Networks, Embedded Systems, Circuit Simulation, Digital and Analog Electronics, and Microcontroller Programming. His proficiency in tools like Spice Simulation, Cadence Virtuoso, and Electronic Design Automation allows him to design and optimize medical devices and automated systems. His research aims to enhance diagnostic and therapeutic tools in medical physics by leveraging artificial intelligence and embedded systems.

🏆 Accolades and Recognition

Throughout his academic and research career, Koagne Longpa Tamo Silas has garnered recognition for his contributions to medical physics and electronics. His innovative approach to circuit simulation and signal processing has positioned him as a promising researcher in his field. His dedication to advancing medical technologies has earned him the respect of his peers and mentors, as he continues to contribute valuable insights to the scientific community.

🌐 Impact and Influence

Through his academic journey and research, Koagne Longpa Tamo Silas has influenced the way automation and artificial intelligence are integrated into medical physics. His work in digital electronics and microcontroller programming is paving the way for innovative solutions in the medical field. His contributions extend beyond research, as he actively engages with students and researchers, fostering a culture of knowledge-sharing and scientific exploration.

Publication

A High-Resolution Non-Volatile Floating Gate Transistor Memory Cell for On-Chip Learning in Analog Artificial Neural Networks
Authors: KLT Silas, DTA Bernard, FT Bernard, L Jean-Pierre, GW Ejuh
Year: 2025

Breast Cancer Diagnosis with Machine Learning Using Feed-Forward Multilayer Perceptron Analog Artificial Neural Network
Authors: B Djimeli-Tsajio Alain, KLT Silas, LT Jean-Pierre, N Thierry, GW Ejuh
Year: 2024

Design and Implementation of a Digital Breath Alcohol Detection System with SMS Alert and Vehicle Tracking on Google Map
Author: KLT Silas
Year: 2020

Design and Realization of an Electronic Attendance System Based on RFID with an Automatic Door Unit
Author: MK Jules
Year: 2018

🎯 Conclusion

With a vision to transform medical physics through automation and AI-driven technologies, Koagne Longpa Tamo Silas is on a path to making significant contributions to healthcare innovation. His passion, dedication, and expertise ensure that his research will continue to shape the future of medical technology, leaving a lasting impact on both academia and practical applications in the field.

Jung Ho Hyun | Systems Neuroscience | Neuroscience Future Leader Award

Published on 12/03/202513/03/2025 by Neuroscientists

Dr. Jung Ho Hyun | Systems Neuroscience | Neuroscience Future Leader Award

Dr. Jung Ho Hyun, Daegu Gyeongbuk Institute of Science & Technology (DGIST), South Korea.

Jungho Hyun’s academic and professional journey showcases his deep commitment to neuroscience. From his early studies in biology and physiology to his advanced research in synaptic plasticity and neural circuits, he has continuously contributed to the field through groundbreaking work. His international research experiences at prestigious institutions have shaped his expertise, and his role as an Assistant Professor at DGIST allows him to inspire and mentor future scientists.

Profile

Google Scholar

🎓 Early Academic Pursuits

Jungho Hyun’s journey into the world of neuroscience began with a deep-rooted passion for understanding the complexities of the human brain. He earned his Bachelor of Science in Biology from Pusan National University in 2007, where he laid the groundwork for his future academic pursuits. Eager to delve deeper into physiological mechanisms, he pursued his Master’s degree in Physiology at Seoul National University College of Medicine, graduating in 2010 under the supervision of Won-Kyung Ho. His thirst for knowledge and unwavering commitment to scientific inquiry led him to continue his doctoral studies at the same institution, where he earned his Ph.D. in Physiology in 2015 under the mentorship of Suk-Ho Lee. His academic journey was marked by rigorous research and an insatiable curiosity to uncover the mysteries of neural function and dynamics.

🌐 Professional Endeavors

With a solid academic foundation, Jungho Hyun embarked on a journey of groundbreaking research and international collaboration. His postdoctoral tenure at the Max Planck Florida Institute for Neuroscience (MPFI) from 2015 to 2019 under the supervision of Hyung-Bae Kwon provided him with a global perspective on neuroscience research. He then transitioned to Johns Hopkins University School of Medicine, where he served as a Research Fellow from 2019 to 2021. These years of international exposure refined his expertise in neural circuitry and synaptic plasticity, allowing him to make significant contributions to the field. In April 2021, he returned to South Korea to take on the role of Assistant Professor at Daegu Gyeongbuk Institute of Science and Technology (DGIST), where he now leads his research group in the Department of Brain Sciences.

🧠 Contributions and Research Focus

Jungho Hyun’s research primarily focuses on understanding the intricate mechanisms of neuronal activity, synaptic plasticity, and the functional architecture of neural circuits. His work combines cutting-edge imaging techniques with electrophysiological approaches to explore how neural connections form, function, and adapt. His research extends to investigating neurological disorders, aiming to provide insights into conditions such as epilepsy, neurodegenerative diseases, and cognitive impairments. His extensive work in neurophysiology has contributed to a better understanding of brain plasticity and its implications for memory and learning.

🏆 Accolades and Recognition

Throughout his career, Jungho Hyun has been recognized for his outstanding contributions to neuroscience. His research has been published in prestigious scientific journals, earning him respect among peers in the field. His work at internationally renowned institutions such as Max Planck and Johns Hopkins has solidified his reputation as a leading neuroscientist. His ability to integrate experimental neuroscience with computational methods has been widely acknowledged, making his research valuable to both fundamental and clinical neuroscience communities.

🔄 Impact and Influence

Beyond his research contributions, Jungho Hyun has played a crucial role in mentoring the next generation of neuroscientists. As an Assistant Professor at DGIST, he actively engages in teaching and guiding young researchers, fostering an environment of curiosity and scientific rigor. His collaborations with international institutions have strengthened cross-border research initiatives, bridging the gap between different scientific communities. His work continues to inspire upcoming neuroscientists to push the boundaries of brain research.

🔦 Legacy and Future Contributions

Jungho Hyun envisions a future where neuroscience and technology converge to revolutionize our understanding of the brain. His research group at DGIST is dedicated to unraveling the fundamental principles of neural circuits and their role in brain function and dysfunction. By integrating advanced imaging techniques, optogenetics, and computational models, he aims to pave the way for novel therapeutic approaches for neurological disorders. His legacy is not only defined by his scientific contributions but also by his commitment to nurturing future scientists who will carry forward the quest for knowledge.

Publication

A calcium-and light-gated switch to induce gene expression in activated neurons – D Lee, JH Hyun, K Jung, P Hannan, HB Kwon (2017)

The locus coeruleus drives disinhibition in the midline thalamus via a dopaminergic mechanism – BS Beas, BJ Wright, M Skirzewski, Y Leng, JH Hyun, O Koita, … (2018)

Activity‐dependent downregulation of D‐type K+ channel subunit Kv1.2 in rat hippocampal CA3 pyramidal neurons – JH Hyun, K Eom, KH Lee, WK Ho, SH Lee (2013)

Intersectional monosynaptic tracing for dissecting subtype-specific organization of GABAergic interneuron inputs – MJ Yetman, E Washburn, JH Hyun, F Osakada, Y Hayano, H Zeng, … (2019)

Tagging active neurons by soma-targeted Cal-Light – JH Hyun, K Nagahama, H Namkung, N Mignocchi, SE Roh, P Hannan, … (2022)

Kv1.2 mediates heterosynaptic modulation of direct cortical synaptic inputs in CA3 pyramidal cells – JH Hyun, K Eom, KH Lee, JY Bae, YC Bae, MH Kim, S Kim, WK Ho, … (2015)

Intracellular Zn2+ signaling facilitates mossy fiber input-induced heterosynaptic potentiation of direct cortical inputs in hippocampal CA3 pyramidal cells – K Eom, JH Hyun, D Lee, S Kim, HJ Jeong, JS Kang, WK Ho, SH Lee (2019)

IgSF11 homophilic adhesion proteins promote layer-specific synaptic assembly of the cortical interneuron subtype – Y Hayano, Y Ishino, JH Hyun, CG Orozco, A Steinecke, E Potts, Y Oisi, … (2021)

Serotonin in the orbitofrontal cortex enhances cognitive flexibility – JH Hyun, P Hannan, H Iwamoto, RD Blakely, HB Kwon (2023)

Gradual decorrelation of CA3 ensembles associated with contextual discrimination learning is impaired by Kv1.2 insufficiency – K Eom, HR Lee, JH Hyun, H An, YS Lee, WK Ho, SH Lee (2022)

🎯 Conclusion

Jungho Hyun’s contributions to neuroscience extend beyond his research findings. His dedication to understanding the complexities of the brain, mentoring young researchers, and advancing interdisciplinary collaborations positions him as a leading figure in the field. As he continues to push the boundaries of brain science, his work will undoubtedly shape the future of neuroscience, paving the way for innovative discoveries and transformative medical advancements.