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.

 

Guo Ren Mong | Engineering | Best Researcher Award

Guo Ren Mong | Engineering | Best Researcher Award

Assist Prof Dr Guo Ren Mong, xiamen university malaysia, Malaysia

Assist. Prof. Dr. Guo Ren Mong appears to be a strong candidate for the “Best Researcher Award”.

Publication profile

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Educational Background

He has a solid academic foundation with a Ph.D. in Mechanical Engineering, during which he worked on innovative research in biofuel production from horse manure. His work was recognized with the Chancellor Award, highlighting his academic excellence.

Research Contributions

His research interests are deeply rooted in renewable energy, particularly in waste-to-energy transformation and pyrolysis technology. He has led several significant research projects, including studies on microwave pyrolysis of plastic waste and industrial sludge, which demonstrate his innovative approach to solving environmental challenges.

Publications

Dr. Mong has contributed to high-impact journals, with publications that focus on advancements in combustion technologies, pyrolysis, and renewable energy. His work has been widely cited, showcasing his influence in the field.

Awards and Recognitio

He has received multiple awards, including gold medals and best presenter awards at international conferences, reflecting his impact and recognition in the academic community.

Teaching and Mentorship

His role as an educator and mentor further solidifies his qualifications. He has successfully guided both undergraduate and postgraduate students, contributing to the academic and professional development of future engineers and researchers.

Given his academic achievements, innovative research contributions, and recognition within the academic community, Dr. Guo Ren Mong is indeed a suitable candidate for the “Best Researcher Award.”

Publication top notes

Advancements of combustion technologies in the ammonia-fuelled engines

Pyrolysis characteristics and kinetic studies of horse manure using thermogravimetric analysis

Microwave pyrolysis for valorisation of horse manure biowaste

Progress and challenges in sustainable pyrolysis technology: Reactors, feedstocks and products

Multivariate optimisation study and life cycle assessment of microwave-induced pyrolysis of horse manure for waste valorisation and management

Bibliometric analysis of the research landscape on rice husks gasification (1995–2019)

Pyrolysis of waste activated sludge from food manufacturing industry: Thermal degradation, kinetics and thermodynamics analysis

Effects of swirler vane angle on palm biodiesel/natural gas combustion in swirl-stabilised gas turbine combustor

Controlling infectious airborne particle dispersion during surgical procedures: Why mobile air supply units matter?

Correlating black soldier fly larvae growths with soluble nutrients derived from thermally pre-treated waste activated sludge

Adib Mahmoodi Nasrabadi | Mechanical Engineering | Best Researcher Award

Mr. Adib Mahmoodi Nasrabadi | Mechanical Engineering | Best Researcher Award

Mr. Adib Mahmoodi Nasrabadi,Florida Atlantic University, United States

Dr. Adib Mahmoodi Nasrabadi is a Mechanical Engineering Ph.D. graduate from Florida Atlantic University (2023). He holds a Master’s degree in Mechanical Engineering from Iran University of Science and Technology (2019-2022), and a Bachelor’s degree from the University of Kurdistan (2009-2013). His research focuses on thermodynamics, renewable energy, and optimization, with expertise in CFD, micro and nanofluids, and thermal management. Adib has published several papers in prestigious journals, including the International Journal of Hydrogen Energy. He is proficient in various software tools like ANSYS-Fluent and Solidworks and programming languages like MATLAB and Python. 🛠️📊📚

 

Publication Profile

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🎓 Education

Adib Mahmoodi Nasrabadi holds a Ph.D. in Mechanical Engineering from Florida Atlantic University (2023), an MSc in Mechanical Engineering from Iran University of Science and Technology (2019-2022, GPA: 3.87/4), and a BSc in Mechanical Engineering from the University of Kurdistan (2009-2013, GPA: 3/4).

🏅 Honors and Awards

Adib has achieved significant academic honors, including top ranks in national exams and competitions.

 

Research Focus

Adib Mahmoodi Nasrabadi is a mechanical engineer specializing in thermodynamics, renewable energy, and thermal management. His research includes optimization using neural networks and genetic algorithms, focusing on micro and nano fluids and computational fluid dynamics (CFD). Adib’s work is characterized by a strong emphasis on energy systems, particularly microfluidic microbial fuel cells and renewable-based power generation. His expertise extends to software tools like ANSYS-Fluent and Solidworks, and programming languages such as MATLAB and Python. Adib’s contributions are reflected in numerous publications on energy analysis and optimization. 🌍🔋🧪💻📊.

Publication Top Notes

  • Design, modeling and optimization of a renewable-based system for power generation and hydrogen production – JR Mehrenjani, A Gharehghani, AM Nasrabadi, M Moghimi. International Journal of Hydrogen Energy 47 (31), 14225-14242. Cited by: 51 (2022) 🌍🔋
  • Energy analysis and optimization of a biosensor-based microfluidic microbial fuel cell using both genetic algorithm and neural network PSO – AM Nasrabadi, M Moghimi. International Journal of Hydrogen Energy 47 (7), 4854-4867. Cited by: 29 (2022) 🧪🤖
  • Techno-economic analysis and optimization of a proposed solar-wind-driven multigeneration system; case study of Iran – AM Nasrabadi, M Korpeh. International Journal of Hydrogen Energy 48 (36), 13343-13361. Cited by: 26 (2023) ☀️🌬️
  • Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran – AM Nasrabadi, O Malaie, M Moghimi, S Sadeghi, SM Hosseinalipour. Energy Conversion and Management 267, 115946. Cited by: 25 (2022) 🌱🏡
  • Experimental investigation of factors affecting the micro microbial fuel cells’ main outputs – AM Nasrabadi, M Moghimi. Journal of Power Sources 564, 232871. Cited by: 10 (2023) 🧫🔋
  • 4E analysis of stacked microbial fuel cell as a component in power plants for power generation and water treatment; with a cost-benefit perspective – AM Nasrabadi, M Moghimi. Sustainable Energy Technologies and Assessments 53, 102742. Cited by: 9 (2022) 🌊⚡
  • Full analysis and deep learning optimization of a sustainable and eco-friendly power plant to generate green hydrogen and electricity; a zero-carbon approach – P Asadbagi, AM Nasrabadi, CM Hall. Process Safety and Environmental Protection. 2024 🌿🔋

Ibrahim Sadek | Engineering | Best Researcher Award

Ibrahim Sadek | Engineering | Best Researcher Award

Dr Ibrahim Sadek, Helwan University, Egypt

Dr. Ibrahim Sadek is a seasoned expert in biomedical engineering and artificial intelligence, with an impressive academic background that spans across Egypt, France, and Singapore 🌍. He holds a Ph.D. in Computer Science from the University of Montpellier and has served in notable roles including postdoctoral fellowships at the University of Sherbrooke and ST Electronics-SUTD Cyber Security Laboratory. Currently, he leads the AI program at the University of Hertfordshire’s GAF Cairo campus 🇪🇬. His work in signal processing and machine learning has garnered awards and led to groundbreaking advancements in healthcare and cybersecurity 🚀. Fluent in Arabic and English, Dr. Sadek’s multilingual prowess complements his technical skills in Python, C++, and MATLAB 💡.

Publication profile

google scholar

Education

He completed his Ph.D. in Computer Science from the University of Montpellier, France 🇫🇷, in 2018, with a focus on pervasive access technologies through collaboration with IPAL and CNRS UMI 2955/A*STAR in Singapore 🇸🇬. Dr. [Name] holds a distinguished M.Sc. in Computer Vision and Robotics from the prestigious VIBOT program, involving studies at Heriot-Watt University in the UK 🇬🇧, University of Burgundy in France, and University of Girona in Spain 🇪🇸. He earned his B.Sc. in Biomedical Engineering from Helwan University, Egypt 🇪🇬, graduating top of his class with honors. He also spent a year at the University of Chemical Technology and Metallurgy in Bulgaria 🇧🇬 through the Erasmus Mundus program. 🎓🌟

Experience

During my postdoctoral research fellowship at the University of Sherbrooke, Canada (09/2019 to 08/2021), I developed signal processing and machine learning tools to analyze in-bed ballistocardiogram signals for detecting abnormal cardiac events, such as arrhythmias, and abnormal breathing events like obstructive sleep apnea. 📊❤️ Since December 2019, I’ve been lecturing at the Biomedical Engineering Department, Helwan University, Egypt, teaching courses including Biomedical Signal Processing and Neural Networks. 🎓🧠 As of December 2023, I lead the Computer Science/Artificial Intelligence Programme at the University of Hertfordshire’s Faculty of Engineering, hosted by GAF Cairo, Egypt. My role includes coordinating modules and exams, and maintaining academic communication between institutions. 🌍🖥️ My previous roles include part-time instructor positions at the University of Hertfordshire and Cairo University, teaching subjects like Software Architecture and Biomedical Data Analytics. 🏫📚 Additionally, I was a postdoctoral fellow at ST Electronics-SUTD Cyber Security Laboratory, Singapore (06/2018 to 07/2019), where I worked on malware detection and network traffic anomaly analysis. 🔍💻 My research background also includes a Ph.D. in nonintrusive nocturnal remote monitoring of vital signs and a master’s internship on the automatic discrimination of retinal images, which led to a best paper award at SPIE 2015. 🏆🔬

Awards

During the years 2015 to 2018, I received the A*STAR Research Attachment Program (ARAP) Grant 🌟, coordinated by the Institute for Infocomm Research (I2R) in Singapore and the Institute Mines-Telecom in France. In 2016, I secured the Alexandra Health Enabling Grant (AHEG1606) for a project at Khoo Teck Puat Hospital in Singapore 🏥, focused on developing a novel unobstructed mattress sensor to detect obstructive sleep apnea 😴. I won the Robert F. Wagner All-Conference Best Student Paper Award in 2015 📜 for my paper on retinal image discrimination. I was also a recipient of the Erasmus Mundus Grant in Computer Vision and Robotics (2012-2014) 🤖, coordinated by three European universities. Earlier, I won the Young Innovator’s Award in 2010 🏆 for my graduation project, and from 2007 to 2008, I held an undergraduate scholarship through the Erasmus Mundus External Cooperation Window 🎓, coordinated by the University of Chemical Technology’s biotechnology engineering department.

Research focus

Ibrahim Sadek‘s research primarily focuses on nonintrusive health monitoring, emphasizing the use of advanced signal processing techniques for various medical applications. His work spans ballistocardiogram (BCG) signal processing for heart rate and vital signs monitoring 🩺💓, nonintrusive methods for sleep apnea detection 🛌💤, and the application of machine learning and IoT technologies in healthcare 🧠📡. Sadek also explores image processing for retinal health analysis 👁️🖼️, privacy and security concerns in IoT-based healthcare systems 🔐📱, and comparative studies of wearable and non-wearable devices for health tracking 🚶‍♂️📲. His research integrates interdisciplinary approaches to enhance non-invasive medical diagnostics and patient monitoring systems.