Mansoor Showkat | Computational Neuroscience | Best Researcher Award

Published on 09/10/2025 by Neuroscientists

Mr. Mansoor Showkat | Computational Neuroscience | Best Researcher Award

Mr. Mansoor Showkat | SKUAT-Kashmir | India

Mansoor Showkat is a researcher in Plant Biotechnology with an M.Sc. from the University of Agricultural Sciences, Bangalore, and a B.Sc. (Hons.) in Horticulture from Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir. His research expertise spans molecular biology, computational biology, bioinformatics, and tissue culture, with particular emphasis on antifungal compound analysis, gene transformation, and plant-pathogen interactions. Mansoor has contributed to several peer-reviewed publications and book chapters, focusing on the in-silico and in-vitro evaluation of bioactive compounds such as cordycepin, molecular mechanisms of stress responses, and secondary metabolite profiling in plants. His research projects include genetic transformation studies, metabolomics-based investigations, and the use of omics tools for crop improvement. He has actively participated in numerous international workshops, conferences, and webinars related to biotechnology, bioinformatics, and genomics. Mansoor has achieved significant academic recognition, including national rankings in competitive examinations by the Indian Council of Agricultural Research. His scientific impact is reflected by a citation count of 15, an h-index of 2, and an i10-index of 0, highlighting his growing contribution to molecular and agricultural biotechnology research.

Profiles: Google Scholar| Research Gate | Linked In

Featured Publications

Showkat, M., Narayanappa, N., Umashankar, N., & Saraswathy, B. P., et al. (2024). Optimization of fermentation conditions of Cordyceps militaris and in silico analysis of antifungal property of cordycepin against plant pathogens. Journal of Basic Microbiology, 64(10), e2400409.
Fatimah, N., Ashraf, S., R. U., K. N., Anju, P. B., Showkat, M., Perveen, K., Bukhari, N. A., et al. (2024). Evaluation of suitability and biodegradability of the organophosphate insecticides to mitigate insecticide pollution in onion farming. Heliyon, 10(12).
Margay, K. A. A. A. R., Ashraf, S., Fatimah, N., Jabeen, S. G., & Showkat, M., et al. (2024). Plant circadian clocks: Unravelling the molecular rhythms of nature. International Journal of Plant and Soil Science, 36(8), 596–617.
Margay, A. R., Ashraf, S., Fatimah, N., Jabeen, S. G., Showkat, M., R. U., K. N., Gani, A., et al. (2024). Harnessing brassinosteroids for heat resilience in wheat: A comprehensive study.
Showkat, M., Nagesha, N., Ashraf, S., Nayana, K., Bashir, S., Nair, A. S., et al. (2024). Cordycepin: A molecular Trojan horse against Fusarium oxysporum f. sp. cubense—A computational perspective.

Masoud Kargar | Computational Neuroscience | Best Researcher Award

Published on 25/09/202527/09/2025 by Neuroscientists

Assist. Prof. Dr. Masoud Kargar | Computational Neuroscience | Best Researcher Award

Assist. Prof. Dr. Masoud Kargar | Islamic Azad University | Iran

Dr. Masoud Kargar is an Assistant Professor in the Department of Computer Engineering at Islamic Azad University, Tabriz Branch, specializing in artificial intelligence, machine learning, reinforcement learning, and software system engineering. He earned his bachelor’s degree in applied mathematics, master’s degree in software engineering, and Ph.D. in software engineering with a focus on modularization of multi-programming software systems. Dr. Kargar has extensive academic experience, having taught a wide range of undergraduate, master’s, and doctoral courses in advanced programming, algorithms, software engineering, data mining, big data, project management, and natural language processing across multiple universities. He also serves as the Director of Information and Communication Technology and leads the development of various software systems. Dr. Kargar is a member of the editorial board of the Iranian Journal of Computer Science (Springer) and has published 19 documents, which have been cited 89 times, giving him an h-index of 6. His research contributions have significantly advanced the fields of machine learning and software engineering, and his academic leadership continues to inspire both students and colleagues. Dr. Kargar remains committed to fostering innovation and excellence in computer engineering education and research.

Profiles: Scopus | Google Scholar | Orcid | Research Gate

Featured Publications

Karegar, M., Isazadeh, A., Fartash, F., Saderi, T., & Navin, A. H. (2008). Data-mining by probability-based patterns. Proceedings of the 30th International Conference on Information Technology Interfaces, 28.

Kargar, M., Isazadeh, A., & Izadkhah, H. (2019). Multi-programming language software systems modularization. Computers & Electrical Engineering, 80, 106500.

Kargar, M., Isazadeh, A., & Izadkhah, H. (2017). Semantic-based software clustering using hill climbing. 2017 International Symposium on Computer Science and Software Engineering.

Kargar, M., Isazadeh, A., & Izadkhah, H. (2020). Improving the modularization quality of heterogeneous multi-programming software systems by unifying structural and semantic concepts. Journal of Supercomputing, 76(1), 17.

Navin, A. H., Fesharaki, M. N., Mirnia, M., & Kargar, M. (2007). Modeling of random variable with digital probability hyper digraph: Data-oriented approach. Proceedings of World Academy of Science, Engineering and Technology, 25, 25.

Bayani, A., & Kargar, M. (2024). LDCNN: A new arrhythmia detection technique with ECG signals using a linear deep convolutional neural network. Physiological Reports, 12(17), e16182.

Karegar, M., Saderi, T., Isazadeh, A., & Fartash, F. (2008). Electronic consulting in marketing. 2008 3rd International Conference on Information and Communication Technology, 5.

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.

Fabiano Papaiz | Computational Neuroscience | Best Researcher Award

Published on 23/04/2025 by Neuroscientists

Prof. Fabiano Papaiz | Computational Neuroscience | Best Researcher Award

Prof. Fabiano Papaiz, IFRN, Brazil.

Fabiano Papaiz is a dedicated academic and professional in the field of education and technology, affiliated with the Federal Institute of Education, Science, and Technology of Rio Grande do Norte (IFRN) in Brazil. With a strong foundation in the intersection of education and technology, his work focuses on integrating modern technological innovations into educational practices. Through his research and professional endeavors, Papaiz has contributed significantly to advancing educational methods and improving learning environments. His accolades reflect his influence both within Brazil and internationally. His research aims to enhance educational outcomes by leveraging digital tools and resources, benefiting the academic community and shaping the future of learning.

Profile

Orcid

📚 Early Academic Pursuits

Fabiano Papaiz began his academic journey in Brazil, where he cultivated a strong foundation in the field of education and technology. His early academic pursuits were centered around exploring the intersections of education and technological advancements. With a keen interest in applied sciences, he honed his knowledge and skills through his academic experiences, leading him to a path of lifelong learning and research. Papaiz’s commitment to education in Brazil is evident, and his passion for technology-driven academic progress is one of the key pillars of his professional career.

💻 Professional Endeavors

Currently affiliated with the Federal Institute of Education, Science, and Technology of Rio Grande do Norte (IFRN), Fabiano Papaiz plays a pivotal role in shaping the future of education and technology. At IFRN, he is part of the DATINF (Department of Information Technology), where he works on integrating modern technological solutions with academic practices. His professional journey reflects his dedication to advancing educational methodologies and bridging the gap between technology and learning. As part of the institution, Papaiz has contributed to a wide range of educational initiatives that aim to enhance the learning experience in Brazil, especially in the field of information technology.

🔬 Contributions and Research Focus

Papaiz’s research interests lie in the dynamic field of information technology and its application to educational contexts. His research focuses on leveraging technological innovations to improve educational outcomes, develop new learning tools, and address contemporary challenges in the digital age. Fabiano’s academic contributions have been significant, with a strong emphasis on the role of technology in shaping modern education. His work not only influences the academic community but also helps to create a more tech-savvy generation of students who can navigate and thrive in a rapidly evolving digital world.

🏆 Accolades and Recognition

Throughout his career, Fabiano Papaiz has received numerous accolades for his contributions to education and technology. His work at IFRN has been recognized not only within Brazil but also internationally, as he continues to share his expertise with global academic and technological communities. His dedication to advancing the integration of information technology into education has earned him admiration from peers, students, and academic institutions alike. His reputation as a thought leader in the intersection of education and technology is well-established, marking him as an influential figure in his field.

🌍 Impact and Influence

Fabiano Papaiz’s work has made a profound impact on both the academic and technological landscapes of Brazil. His influence extends beyond the classroom, as his research and professional endeavors have shaped the way information technology is applied in education. Through his leadership and innovation, he has fostered the growth of more effective learning environments, enhanced by the use of digital tools and resources. His contributions have not only benefited his institution but also contributed to the wider educational community by offering solutions that address modern teaching and learning needs.

Publication

Title: Predicting ALS progression using Autoregressive deep learning models
Authors: Fabiano Papaiz, Mario Emílio Teixeira Dourado, Jr, Ricardo Alexsandro de Medeiros Valentim, Felipe Ricardo dos Santos Fernandes, João Paulo Queiroz dos Santos, Antonio Higor Freire de Morais, Fernanda Brito Correia, Joel Perdiz Arrais
Year: 2025

Title: RR3D: Uma solução para renderização remota de imagens médicas tridimensionais
Author: Fabiano Papaiz
Year: 2013

Conclusion

Fabiano Papaiz’s career exemplifies the transformative power of technology in education. His contributions, ranging from research to institutional leadership, have made a lasting impact on the integration of technology in educational settings. As he continues to innovate and lead, Papaiz’s legacy will undoubtedly shape the future of education, paving the way for more inclusive and effective learning environments. His ongoing work ensures that technology will remain a key driver in educational progress, with the potential to benefit generations of students and educators worldwide.

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.

Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

Published on 28/12/2024 by Neuroscientists

Dr. Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

Dr. Rasoul Sabetahd, Islamic Azad University, Iran.

Dr. Rasoul Sabetahd, a distinguished civil engineer and academic, has dedicated his career to advancing the field of civil engineering through teaching, research, and practical contributions. As a faculty member at the Department of Civil Engineering, Sofian Branch, Islamic Azad University, Iran, he has played a transformative role in fostering innovation, mentoring future engineers, and addressing the pressing challenges of modern infrastructure. His work, rooted in sustainability and resilience, has left a profound impact on academia and the engineering industry alike.

profile

Orcid

🌱 Early Academic Pursuits

Dr. Rasoul Sabetahd embarked on his academic journey with an enduring passion for civil engineering. He pursued his foundational studies in this field, demonstrating exceptional aptitude and dedication. His formative years were marked by a deep curiosity about structural systems and an eagerness to contribute to the advancement of infrastructure development. These early academic experiences laid the groundwork for his future scholarly achievements.

🏗️ Professional Endeavors

As a prominent member of the Department of Civil Engineering at the Sofian Branch of Islamic Azad University, Iran, Dr. Sabetahd has played a pivotal role in shaping the academic and professional landscape of civil engineering. His career is characterized by a commitment to teaching, mentoring, and equipping students with the practical and theoretical knowledge necessary for addressing modern engineering challenges. He has also collaborated with industry professionals to bridge the gap between academia and practical applications.

📚 Contributions and Research Focus

Dr. Sabetahd’s research has focused on groundbreaking advancements in civil engineering, including sustainable construction techniques, innovative materials, and structural resilience. Through meticulous studies and publications, he has enriched the academic discourse in civil engineering, providing valuable insights that have been widely acknowledged by peers. His work is deeply rooted in addressing contemporary engineering challenges, contributing significantly to the betterment of urban development and infrastructure planning.

🏆 Accolades and Recognition

Dr. Sabetahd’s dedication and expertise have earned him numerous accolades in the field of civil engineering. His research contributions and commitment to education have been recognized at national and international levels, bringing prestige to his institution and inspiring his colleagues and students. These honors reflect his influence as a leader in his domain.

🌍 Impact and Influence

The impact of Dr. Sabetahd’s work extends far beyond academia. His innovations and methodologies have been adopted in various real-world projects, demonstrating their practical value. As a mentor and educator, he has shaped the careers of countless students who now contribute to the field globally. His ability to blend research with practical applications has solidified his reputation as a transformative figure in civil engineering.

🔗 Legacy and Future Contributions

Dr. Sabetahd’s legacy is defined by his unwavering dedication to advancing civil engineering. Looking ahead, he aims to continue contributing to the field through innovative research, fostering new talent, and promoting sustainable engineering practices. His vision for the future involves not only addressing current challenges but also anticipating the needs of future generations.This biography celebrates the remarkable journey of Dr. Rasoul Sabetahd, highlighting his contributions and the lasting impact he has made in civil engineering.

📚 Publications

Development of an Adaptive Chaotic Fuzzy Neural Network Controller for Mitigating Seismic Response in a Structure Equipped with an Active Tuned Mass Damper
- Authors: Rasoul Sabetahd, Ommegolsoum Jafarzadeh
- Year: 2025

A Multiple Model Type-3 Fuzzy Control for Offshore Wind Turbines Using the Active Rotary Inertia Driver (ARID)
- Authors: Chunwei Zhang, Meihua Liu, Zhihu Liu, Rasoul Sabetahd, Hamid Taghavifar, Ardashir Mohammadzadeh
- Year: 2024

Design of a Novel Intelligent Adaptive Fractional-Order Proportional-Integral-Derivative Controller for Mitigation of Seismic Vibrations of a Building Equipped with an Active Tuned Mass Damper
- Authors: Ommegolsoum Jafarzadeh, Rasoul Sabetahd, Seyyed Arash Mousavi Ghasemi, Seyed Mehdi Zahrai
- Year: 2024

Design of an Online Adaptive Fractional-Order Proportional-Integral-Derivative Controller to Reduce the Seismic Response of the 20-Story Benchmark Building Equipped with an Active Control System
- Authors: Ommegolsoum Jafarzadeh, Seyyed Arash Mousavi Ghasemi, Seyed Mehdi Zahrai, Rasoul Sabetahd, Ardashir Mohammadzadeh, Ramin Vafaei Poursorkhabi, Vasudevan Rajamohan
- Year: 2024

Response Attenuation of a Structure Equipped with ATMD under Seismic Excitations Using Methods of Online Simple Adaptive Controller and Online Adaptive Type-2 Neural-Fuzzy Controller
- Authors: Rasoul Sabetahd, Seyed Arash Mousavi Ghasemi, Ramin Vafaei Poursorkhabi, Ardashir Mohammadzadeh, Yousef Zandi
- Year: 2022

Evaluation of Pall Friction Damper Performance in Near-Fault Earthquakes by Using Nonlinear Time History Analysis
- Authors: Jafarzadeh, K., Lotfollahi-Yaghin, M.A., Sabetahd, R.
- Year: 2012

Conclusion

Dr. Sabetahd’s journey exemplifies the fusion of academic excellence, professional dedication, and impactful research. Through his efforts, he has not only contributed to the growth of civil engineering but also inspired a new generation of engineers to pursue excellence. His legacy, defined by a commitment to progress and innovation, ensures his enduring influence in the field. As he continues his work, Dr. Sabetahd remains a beacon of inspiration, shaping the future of civil engineering.