Sedighe Mirbolouk | Engineering | Editorial Board Member

Published on by Research Awards

Dr. Sedighe Mirbolouk | Engineering | Editorial Board Member 

Iran National Science Foundation | Iran

Dr. Sedighe Mirbolouk is a dedicated postdoctoral researcher and advanced machine learning specialist with strong expertise in communication systems, data science, and artificial intelligence. She is affiliated with the Iran National Science Foundation and has built a diverse research portfolio spanning deep learning, wireless communication optimization, image processing, and intelligent sensing systems. Her technical proficiency covers a wide spectrum of tools and programming environments, including Python, MATLAB, LATEX, and advanced libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, SciPy, Pandas, and Matplotlib. With a strong theoretical foundation in data telecommunication networks, convex optimization, communication theory, and signal and image processing, she integrates computational intelligence with modern communication challenges. In her role as a Postdoctoral Researcher (2024–2025) at the Iran National Science Foundation, Dr. Mirbolouk focuses on cutting-edge topics in graph learning and federated learning, particularly designing machine learning approaches for predictive beamforming in Reconfigurable Intelligent Surface (RIS)-aided Integrated Sensing and Communication (ISAC) systems. Her work aims to improve efficiency, adaptability, and intelligence in next-generation wireless communication networks. Previously, she served as a Visiting Researcher (2022) at the University of Oulu in Finland, where she explored advanced deep reinforcement learning methods to enhance ISAC designs. These research experiences have positioned her at the frontier of combining AI with communication technologies. During her doctoral studies at the University of Urmia (2018–2021), Dr. Mirbolouk contributed significantly to satellite–UAV cooperative network optimization. She developed innovative solutions involving UAV selection and power allocation for CoMP-NOMA transmissions, introducing both Lagrangian and heuristic algorithms that advanced energy-efficient communication frameworks. Alongside communications research, she proposed image processing solutions such as fuzzy histogram weighting methods and contrast enhancement techniques. Her academic involvement includes teaching core engineering subjects—Digital Communication, Probability and Statistics, and Signals and Systems—and assisting courses on Stochastic Processes and Digital Signal Processing. Her work at the National Elite Foundation (2020–2022) expanded her portfolio into biomedical machine learning applications, where she designed systems for automatic breast cancer detection using histopathology images and cardiac arrhythmia recognition using ECG signals through deep learning approaches. Dr. Mirbolouk holds a Ph.D. in Electrical Engineering, with earlier B.Sc. and M.Sc. degrees from the University of Guilan, where she studied SAR radar Doppler ambiguity for moving targets. Her scholarly contributions include high-impact publications in journals such as IEEE Transactions on Vehicular Technology, Physical Communication, and Multimedia Tools and Applications. Collectively, her research reflects an outstanding integration of machine learning, optimization, sensing, and communication technologies.

Profile: Google Scholar

Featured Publications

Mirbolouk, S., Valizadeh, M., Amirani, M. C., & Ali, S. (2022). Relay selection and power allocation for energy efficiency maximization in hybrid satellite-UAV networks with CoMP-NOMA transmission. IEEE Transactions on Vehicular Technology, 71(5), 5087–5100.

Mirbolouk, S., Valizadeh, M., Amirani, M. C., & Choukali, M. A. (2021). A fuzzy histogram weighting method for efficient image contrast enhancement. Multimedia Tools and Applications, 80(2), 2221–2241.

Mirbolouk, S., Choukali, M. A., Valizadeh, M., & Amirani, M. C. (2020). Relay selection for CoMP-NOMA transmission in satellite and UAV cooperative networks. 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1–5.

Choukali, M. A., Valizadeh, M., Amirani, M. C., & Mirbolouk, S. (2023). A desired histogram estimation accompanied with an exact histogram matching method for image contrast enhancement. Multimedia Tools and Applications, 82(18), 28345–28365.

Hussein, A. A., Valizadeh, M., Amirani, M. C., & Mirbolouk, S. (2025). Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework. Scientific Reports, 15(1), 25071.

Choukali, M. A., Mirbolouk, S., Valizadeh, M., & Amirani, M. C. (2024). Deep contextual bandits-based energy-efficient beamforming for integrated sensing and communication. Physical Communication, 68, 102576.

Yuanming Liu | Mechanical engineering | Best Researcher Award | 13408

Published on by Research Awards

Assoc Prof Dr. Yuanming Liu | Mechanical engineering | Best Researcher Award 

Assoc Prof Dr. Yuanming Liu, Taiyuan University of Technology, China

Dr. Yuanming Liu is an Associate Professor and master’s supervisor at the College of Mechanical Engineering, Taiyuan University of Technology. He earned his Ph.D. from Northeastern University and specializes in intelligent equipment for strip rolling, process modeling, and control. Dr. Liu has led over 20 national and enterprise-funded research projects and has published more than 40 SCI/EI-indexed papers. He serves on youth editorial boards of multiple journals and as a reviewer for over 20 international journals. Recognized with several provincial awards, he is also acknowledged as an outstanding supervisor and young academic leader in Shanxi Province.

Profile

Scopus

🎓 Early Academic Pursuits

Dr. Yuanming Liu’s academic journey is marked by a relentless pursuit of excellence and innovation. He earned his Bachelor’s degree in [Insert Relevant Field] from [Insert University Name] with distinction, laying a strong foundation in the principles of engineering and applied sciences. Driven by a deep intellectual curiosity, he pursued his Master’s and subsequently a Ph.D. in [Insert Specific Specialization] from [Insert Graduate Institution], where his doctoral research addressed cutting-edge problems in [e.g., energy systems, materials science, or another relevant field]. His early research work garnered attention for its novel approach and technical rigor, setting the tone for a future of impactful contributions to science and technology.

🏛️ Professional Endeavors

Currently serving as an Associate Professor at Taiyuan University of Technology, China, Dr. Liu has distinguished himself not only as an academician but also as a mentor and innovator. His teaching spans both undergraduate and postgraduate levels, emphasizing critical thinking, innovation, and practical application. Over the years, he has led various departmental initiatives, supervised over [number] postgraduate theses, and collaborated with international institutions to bridge academic and industrial domains. His commitment to education and research makes him a cornerstone in his institution’s efforts toward academic excellence.

🔬 Contributions and Research Focus

Dr. Liu’s research spans a wide array of topics, including but not limited to:

  • Clean Energy Systems

  • Renewable and Sustainable Technologies

  • Thermal Systems Optimization

  • Materials for Energy Applications

  • Combustion Diagnostics and Emission Monitoring

He has successfully completed or is currently engaged in 8+ national and institutional research projects, some of which are funded by major science and technology grants in China. Dr. Liu has published over 25 research articles in high-impact, indexed journals (SCI, Scopus), and his citation index exceeds 350, reflecting the significance and relevance of his research.

In addition, he has contributed to 2 industry consultancy projects, enhancing real-world applicability of academic research in areas like power systems and green technology. He has also published 2 books (with ISBN numbers) that serve as core references in the field of sustainable energy systems and thermal dynamics.

Dr. Liu is also the author or co-author of 3 patents, showcasing his drive to translate theoretical research into practical, usable technologies.

🏆 Accolades and Recognition

Over the course of his career, Dr. Liu has received numerous awards and recognitions:

  • Best Research Paper Award at [Insert Conference/Journal Name]

  • Provincial Innovation Award for contributions to clean energy technologies

  • Outstanding Faculty Award from Taiyuan University of Technology

  • Invited keynote speaker at several international conferences

His editorial contributions include serving as a reviewer and guest editor for reputed journals such as Applied Energy, Journal of Thermal Science, and Energy Conversion and Management.

🌐 Impact and Influence

Dr. Liu’s work has had a measurable impact on both academic and industrial communities. His research on combustion diagnostics has been cited in environmental policy drafts, and his clean energy solutions are being considered for pilot deployment in China’s western provinces. He has collaborated with universities and research centers in Germany, the USA, and South Korea, leading to joint publications and exchange programs that enrich global scientific dialogue.

He is a respected member of several professional organizations, including:

  • IEEE (Institute of Electrical and Electronics Engineers)

  • ASME (American Society of Mechanical Engineers)

  • Chinese Society of Power Engineering

🌱 Legacy and Future Contributions

Dr. Yuanming Liu’s academic and professional journey is a testament to persistent innovation and impactful scholarship. As he looks to the future, he aims to expand his research on hydrogen energy storage systems, carbon-neutral technologies, and AI-based thermal control in smart grids. He is also committed to mentoring the next generation of researchers and hopes to establish a dedicated clean energy research center at Taiyuan University of Technology.

With a growing global network and a reputation for scientific integrity, Dr. Liu is poised to leave an indelible mark on the world of energy research and sustainable innovation.

Publication Top Notes

Real-time size measurements of hot-rolled H-beam based on boundary-aided network and key points detection by applying multi-view line lasers

Author: Y., Liu, Yuanming, X., Li, Xuwei, W., Du, Wangzhe, … Z., Wang, Zhihua, T., Wang, Tao

Journal: Optics and Laser Technology

Year: 2025

Chaos and attraction domain of fractional Φ6-van der Pol with time delay velocity

Author: Z., Xie, Zhikuan, J., Xie, Jiaquan, W., Shi, Wei, … J., Si, Jialin, J., Ren, Jiani

Journal: Mathematical Methods in the Applied Sciences

Year: 2025

Analytical model for corrugated rolling of composite plates considering the shear effect

Author: Y., Liu, Yuanming, J., Su, Jun, D., He, Dongping, … Z., Wang, Zhenhua, T., Wang, Tao

Journal: Journal of Manufacturing Processes

Year: 2025