Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. MojtabaHajiabadi at University of Birjand, Iran

Dr. Mojtaba Hajiabadi is an Assistant Professor in the Communication Engineering Group at the University of Birjand, Iran. With expertise in 6G, wireless communications, adaptive filtering, and machine learning, he has significantly contributed to signal processing and telecommunications. He has served as a visiting researcher at KU Leuven, Belgium, and actively reviews for esteemed journals like IEEE Transactions on Signal Processing. His research includes developing advanced wireless systems, adaptive beamforming, and noise cancellation technologies. With numerous publications, patents, and projects, he remains a leading figure in next-generation communication technologies.

Publication Profile

Google Scholar

Academic Background🎓

Dr. Hajiabadi obtained his Ph.D. in Communication Engineering from Ferdowsi University of Mashhad in 2018, following an M.Sc. from the same institution in 2014 and a B.Sc. from the University of Birjand in 2012. His exceptional academic journey began at the National Organization for Development of Exceptional Talents (NODET). In 2019, he further enhanced his expertise as a Visiting Researcher at KU Leuven, Belgium, working on cutting-edge wireless technologies. His education has laid a strong foundation for his research in wireless communications, adaptive systems, and machine learning-based signal processing.

Professional Background💼

Dr. Hajiabadi has diverse academic and industrial experience, including research and teaching at KU Leuven, Ferdowsi University of Mashhad, and the University of Birjand. His professional roles extend to the Iranian Air Force, Telecommunication Infrastructure Company, and KavirTire Corporation. He has led projects on satellite signal processing, carrier synchronization, and military-grade noise cancellation. His hands-on work with software-defined radios (SDR) and real-world signal applications has made him a key contributor to modern telecommunication advancements, bridging theoretical research with practical implementations.

Awards and Honors🏆

Dr. Hajiabadi has been recognized for his outstanding contributions to communication engineering through multiple awards and distinctions. His work has been featured in leading IEEE journals and conferences, reflecting its high impact. He has received research funding for pioneering studies in adaptive filtering and 6G communications. His role as a reviewer for IEEE Transactions and other esteemed journals highlights his credibility in the research community. Additionally, his patents in noise cancellation circuits for military aircraft showcase his practical innovations in engineering.

Research Focus🔬

Dr. Hajiabadi specializes in 6G wireless communication, adaptive filters, beamforming, noise cancellation, and machine learning applications in signal processing. His research emphasizes optimizing wireless networks using intelligent systems, including channel estimation, equalizers, and interference suppression. His work extends to satellite communication, reconfigurable intelligent surfaces, and AI-driven adaptive systems, addressing real-world challenges in next-generation telecommunications. With a strong emphasis on both theoretical advancements and hardware implementation, his contributions shape the future of wireless connectivity and intelligent communication networks.

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

      Year: 2017 🗓 | Cited by: 36 📑 | IEEE Transactions on Circuits and Systems II: Express Briefs

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

      Year: 2017 🗓 | Cited by: 19 📑 | International Journal of Adaptive Control and Signal Processing

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

      Year: 2017 🗓 | Cited by: 15 📑 | IET Signal Processing

🔹 Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise

      Year: 2014 🗓 | Cited by: 14 📑 | 7th International Symposium on Telecommunications (IST’2014)

Conclusion

Dr. Mojtaba Hajiabadi is a distinguished researcher in communication engineering, specializing in 6G, wireless communication, adaptive filters, and AI-driven signal processing. With a Ph.D. from Ferdowsi University of Mashhad and research experience at KU Leuven, he has made significant contributions through high-impact publications in IEEE Transactions and other prestigious journals. His innovative work includes a patent on acoustic noise cancellation and collaborations on satellite signal detection and defense applications. As a dedicated educator and mentor, he shapes future researchers while actively reviewing for top academic journals. His international exposure, industry collaborations, and academic excellence make him a strong candidate for the Best Researcher Award.

 

Hongje Jang | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. HongjeJang | Engineering | Best Researcher Award

Dr. HongjeJang, University of California, San Diego/Bioengineering Department, United States

🔬 Dr. Hongje Jang is a visionary researcher specializing in super-resolution multi-dimensional chemical imaging and analysis methods for biological samples. Holding a Ph.D. in Physics from Gerog-August-Universität Göttingen, Dr. Jang’s expertise spans microscopy image analysis, biomolecule reaction dynamics, and instrumentation development. As a PostDoc at UC San Diego, under Prof. Lingyan Shi’s guidance, he has pioneered advancements in super-resolution stimulated Raman scattering (SRS) microscopy, pushing the boundaries of spatial resolution. With a diverse educational background and extensive skills in optics, programming, and chemistry, Dr. Jang is a trailblazer in advancing our understanding of complex biological systems.

Publication Profile:

Google Scholar

Education:

🎓 Driven by a passion for unraveling the mysteries of biological systems, Dr. Hongje Jang boasts an impressive academic journey. After completing a B.A. in Chemistry at Yonsei University, South Korea, in 2009, he pursued an Integrated Master and Doctorate Course, achieving a remarkable GPA of 94.6/100. His academic pursuit culminated in a Ph.D. in Physics from Gerog-August-Universität Göttingen in 2021, where his thesis, “Fast, Three-Dimensional Fluorescence Imaging of Living Cells,” showcased groundbreaking work. Currently undertaking PostDoc training at UC San Diego’s Bioengineering Department under the guidance of Prof. Lingyan Shi, Dr. Hongje Jang continues to contribute significantly to the field.

Skills & Knowledge:

🔬 Dr. Hongje Jang is a versatile scientist with a rich skill set spanning Optics, Imaging & Spectroscopy, Programming, Chemistry, Instrumentation, and Biology. With expertise in techniques like Stimulated Raman Scattering, Second Harmonic Generation, and Multi-photon fluorescence imaging, he brings over 8 years of proficiency in high-resolution AFM and TIRFM imaging. Dr. Jang excels in programming languages like Python (TensorFlow), Matlab, and LabView, utilizing them for image deconvolution, analysis, and instrumentation. His competence extends to Ab-Initio molecular simulation for Raman and IR spectroscopy, coupled with a deep understanding of standard optical-based microscopy techniques. Proficient in cell culture and cardiomyocyte handling, Dr. Jang’s interdisciplinary skills drive innovation in bioimaging.

Research Focus :

🔬 Dr. Hongje Jang’s research focus encompasses cutting-edge developments in bioimaging and spectroscopy. Specializing in super-resolution stimulated Raman scattering (SRS) microscopy, his work delves into advanced imaging methods such as A-PoD (deconvolution) and multi-molecular hyperspectral PRM-SRS. Dr. Jang’s studies unveil the intricacies of biological systems, including lipid metabolic dynamics in aging Drosophila brains and the spatially correlated metabolism in aging and diseases. His expertise extends to ultrafast nonlinear multimodal metabolic imaging, adding depth to the understanding of metabolic activities. With a diverse portfolio, Dr. Jang contributes significantly to the fields of biophysics and materials research.

Publication Top Notes: