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.

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.

Xiaobing Yan | Neurotechnology | Best Researcher Award

Published on 21/02/202521/02/2025 by Neuroscientists

Prof. Xiaobing Yan | Neurotechnology | Best Researcher Award

Prof. Xiaobing Yan, Hebei University, China.

Professor Xiaobing Yan is a distinguished researcher specializing in novel memory devices and memristor-based brain-inspired chip technologies. As a Senior Member of IEEE and a reviewer for leading journals, he has made significant contributions to the field of neuromorphic engineering. His outstanding achievements include recognition as a Young Changjiang Scholar and a Young Top-notch Talent under China’s National Ten Thousand Talents Program. With over 120 high-impact publications, 5,600+ citations, and an H-index of 40, he is globally recognized among the top 2% of scientists. His research has been supported by several prestigious national and provincial funding programs.

Profile

Scopus

🎓 Early Academic Pursuits

Xiaobing Yan embarked on his academic journey with a deep passion for electronics and information engineering. His early years were marked by an unwavering dedication to understanding the complexities of memory devices and neuromorphic systems. As he progressed through his studies, his curiosity and drive led him to explore the intersection of artificial intelligence and hardware development. His rigorous academic training laid a solid foundation for his future contributions to next-generation computing technologies.

💪 Professional Endeavors

Currently serving as a Professor at the Institute of Life Science and Green Development, Hebei University, Xiaobing Yan has established himself as a distinguished leader in the field of electronic engineering. He is a Doctoral Supervisor and a Senior Member of IEEE, a testament to his vast expertise and influence in the scientific community. His role extends beyond academia, as he actively engages in national-level research programs and collaborates with top-tier research institutions. His professional journey is a testament to his commitment to pioneering advancements in neuromorphic computing and memristor-based brain-inspired chip technologies.

🤖 Contributions and Research Focus

Xiaobing Yan’s research primarily revolves around novel memory devices and brain-like computing systems. His work has been instrumental in the advancement of memristor-based chip technologies, which hold the potential to revolutionize artificial intelligence hardware. By bridging the gap between neuroscience and semiconductor innovation, he is contributing to the development of energy-efficient, high-performance computing architectures. His research projects, funded by prestigious national programs, aim to push the boundaries of nanoelectronics and intelligent systems.

🏆 Accolades and Recognition

Xiaobing Yan’s groundbreaking work has earned him widespread recognition. In 2019, he was honored as a Young Changjiang Scholar by the Ministry of Education and selected as a Young Top-notch Talent under the National Ten Thousand Talents Program. In 2024, he further cemented his legacy by winning the Excellence Award at the National Disruptive Innovation Technology Competition. His contributions are not only recognized in China but also on a global scale, as he has been listed among the top 2% of scientists worldwide by Stanford University.

🌟 Impact and Influence

With over 120 high-impact publications and more than 5,600 citations, Xiaobing Yan’s research has significantly shaped the field of electronics and artificial intelligence. His H-index of 40 reflects the depth and relevance of his contributions. As a reviewer for prestigious journals such as Nature Electronics, Advanced Materials, and ACS Nano, he plays a crucial role in shaping the direction of cutting-edge research. His influence extends beyond his publications, as he mentors young researchers and fosters collaborations that drive innovation in neuromorphic computing.

🚀 Legacy and Future Contributions

As a leader in disruptive technology and nanoelectronics, Xiaobing Yan is poised to continue pushing the boundaries of scientific discovery. His ongoing research projects, including multiple National Key R&D initiatives and collaborations with leading institutions, demonstrate his commitment to pioneering breakthroughs in brain-inspired computing. With his vision and expertise, he is set to leave a lasting legacy in the development of next-generation intelligent systems, shaping the future of artificial intelligence and semiconductor technology.

Publication

In situ training of an in-sensor artificial neural network based on ferroelectric photosensors
- Authors: H. Lin, Haipeng; J. Ou, Jiali; Z. Fan, Zhen; X. Gao, Xingsen; J. Liu, Junming
- Year: 2025

Ultra robust negative differential resistance memristor for hardware neuron circuit implementation
- Authors: Y. Pei, Yifei; B. Yang, Biao; X. Zhang, Xumeng; S. Li, Shushen; X. Yan, Xiaobing
- Year: 2025

Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models
- Authors: W. Yue, Wenshuo; K. Wu, Kai; Z. Li, Zhiyuan; R. Huang, Ru; Y. Yang, Yuchao
- Year: 2025

Memristor-based feature learning for pattern classification
- Authors: T. Shi, Tuo; L. Gao, Lili; Y. Tian, Yang; X. Yan, Xiaobing; Q. Liu, Qi
- Year: 2025

Harnessing spatiotemporal transformation in magnetic domains for nonvolatile physical reservoir computing
- Authors: J. Zhou, Jing; J. Xu, Jikang; L. Huang, Lisen; X. Yan, Xiaobing; S.T. Lim, Sze Ter
- Year: 2025

Flexoelectric Effect in Thin Films: Theory and Applications
- Authors: X. Jia, Xiaotong; R. Guo, Rui; J. Chen, Jingsheng; X. Yan, Xiaobing
- Year: 2025

Deoxyribonucleic acid brick crystals-based memristor as an artificial synapse for neuromorphic computing
- Authors: Z. Wang, Zhongrong; X. Liu, Xinran; J. Li, Jiahang; J. Lou, Jianzhong; X. Yan, Xiaobing
- Year: 2025

Weighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors
- Authors: Z. Guo, Zhenqiang; G. Duan, Guojun; Y. Zhang, Yinxing; Y. Faraj, Yousef; X. Yan, Xiaobing
- Year: 2025

Achieving over 10 % efficiency in kesterite solar cells via selenium-free annealing
- Authors: Q. Zhou, Qing; Y. Cong, Yijia; H. Li, Hao; Y. Sun, Yali; W. Yu, Wei
- Year: 2024

Hardware implementation of memristor-based artificial neural networks

Authors: F.L. Aguirre, Fernando L.; A. Sebastian, Abu; M. Le Gallo, Manuel; S. Matias Pazos, Sebastian; M. Lanza, Mario
Year: 2024

Conclusion

Professor Yan’s work plays a pivotal role in advancing memory technology and brain-inspired computing. His extensive research contributions and leadership in high-impact projects underscore his expertise in developing next-generation computing technologies. His global recognition and numerous accolades highlight his influence in the field, positioning him as a key figure in neuromorphic engineering and memory device innovation.