Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

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

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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.

 

SRIHARI T | Electrical and Electronics Engineering | Excellence in Innovation

Assoc Prof Dr. SRIHARI T | Electrical and Electronics Engineering | Excellence in Innovation

Associate Professor, Saveetha School of Engineering, SIMATS, Saveetha University, Chennai, Tamil Nadu, India

Dr. T. Srihari is a highly accomplished engineering professor with a robust background in academia and research. He is known for his dynamic role as a nodal head in Entrepreneurship Development and his dedication to fostering innovation and critical thinking among students. With extensive experience in the field of electronics and communication, Dr. Srihari has contributed significantly to various educational institutions, guiding numerous research projects and organizing key developmental programs.

Profile

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Education 📚

Dr. T. Srihari holds a Ph.D. in Electrical Engineering from Anna University, Chennai, awarded in 2017. He completed his Master of Engineering in Power Electronics and Drives from PSG College of Technology, Coimbatore, with a CGPA of 8.41, under Anna University. His Bachelor of Engineering in Electrical and Electronics Engineering was obtained from Thiagarajar College of Engineering, Madurai, where he graduated with a first-class distinction.

Experience 🏫

With over two decades of teaching experience, Dr. Srihari has held various prestigious positions. Currently, he is a Professor in the Department of Electronics and Communication Engineering at J.N.N Institute of Engineering, Tiruvallur. He previously served as a Professor in the Department of Electrical and Electronics Engineering at K S R Institute for Engineering and Technology, Tiruchengode, for over ten years. His earlier roles include Assistant Professor at CMS College of Engineering, Namakkal, and Lecturer positions at Sethu Institute of Technology, Pulloor, and Aalim Muhammed Salegh College of Engineering, Chennai.

Research Interests 🔬

Dr. Srihari’s research interests are diverse and span across multiple domains in electrical and electronics engineering. He is particularly focused on intelligent systems, AI-driven applications in engineering, and innovative technological solutions for societal benefits. His work includes pioneering projects in object recognition for the blind, automatic ventilation systems, and IoT-enabled devices for infant care.

Awards 🏆

Dr. Srihari has received several awards in recognition of his innovative practices and contributions to the field of engineering education. Notably, he was honored with the Best Innovation Practices Award by the Institution’s Innovation Council of KSR Institute for Engineering and Technology and received the Best Supervisor Award from the Society for Aerospace and Mechanical Engineering. He was also awarded the Silver Global Jury Award 2021 from the NEN Wadhwani Foundation for evaluating business pitches and was trained as an Innovation Ambassador.

Publications Top Notes📄

Dr. Srihari has an impressive list of publications in various international and national journals. Some of his notable works include:

Hybrid Multicarrier Random Space Vector PWM for the Mitigation of Acoustic Noise (2021) – Electronics.

Bed Wet Detection for Child Care and Welfare (2021) – Suraj Punj Journal For Multidisciplinary Research.

VIRTUAL QUEUING SYSTEM FOR HOSPITAL (2021) – Suraj Punj Journal For Multidisciplinary Research.

Speed bump Detection using Otsu’s Algorithm and Morphological Operation (2020) – International Journal on Emerging Technologies.

Effective Crop Loss Assessment for Picture Based Insurance Claim (2020) – TEST Engineering & Management.