Prof. Fazhi Song | Control Systems | Research Excellence Award

Prof. Fazhi Song | Control Systems | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, a Professor at the Harbin Institute of Technology specializing in control science, motion control, and precision engineering, is an accomplished researcher whose work advances high-end manufacturing and ultra-precision motion systems. He holds advanced degrees culminating in a Ph.D. in Control Science and Engineering, with academic training focused on system identification, learning control, and precision motion technologies. Throughout his professional career, he has led major research initiatives in motion generation, performance control, and accuracy retentivity for advanced manufacturing equipment, contributing to national and provincial projects and collaborating with leading industrial partners on precision motion systems. His research centers on high-precision mechanical servo systems, uncertainty-robust learning control, multi-DOF motion coordination, and advanced control strategies for lithography-level equipment, supported by a strong record of publications, patents, and technical innovations. He has authored numerous peer-reviewed articles, contributed to an academic monograph, and advanced methodologies widely cited in the fields of precision engineering and automation, reflected through 45 citations, 9 documents, and an h-index of the candidate. His achievements include significant awards from national academic societies recognizing technological innovation, along with contributions as a guest editor for respected journals, session chair for international conferences, and active membership in IEEE and major professional automation and instrumentation societies. Dr. Song’s leadership in research, editorial service, and professional engagement underscores his commitment to advancing ultra-precision control technologies and cultivating scientific excellence in the global engineering community.

Profiles: Scopus | ORCID

Featured Publications

Song, Fazhi, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*

Song, Fazhi, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*

Song, Fazhi, Identification for Precision Mechatronics: An Auxiliary Model-Based Hierarchical Refined Instrumental Variable Algorithm. Int. J. Robust Nonlinear Control., 2025.*

Song, Fazhi, Beyond Performance of Learning Control Subject to Uncertainties and Noise: A Frequency-Domain Approach Applied to Wafer Stages. IEEE/CAA J. Autom. Sinica., 2025, 5 citations.*

 

Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, Professor in the School of Instrumentation Science and Engineering at Harbin Institute of Technology, is a leading specialist in control science and precision motion systems whose work advances high-end manufacturing and inspection technologies. With a Ph.D. in Control Science and Engineering and research expertise spanning motion generation, performance control, learning control, and system accuracy retentivity, he has built a distinguished academic and professional record through roles as researcher, lecturer, associate professor, and project leader on numerous advanced engineering projects. He has authored more than forty peer-reviewed publications, contributed a research monograph, and secured an extensive portfolio of patents and software copyrights, reflecting strong innovation and impact in precision motion control. His scholarly influence is further demonstrated by 432 citations across 367 documents, 45 indexed publications, and an h-index of 9. Dr. Song has been recognized with major honors, including high-level national and provincial awards for technological invention, innovation, and academic contribution, and he maintains active professional service as guest editor, editorial board member, conference session chair, peer reviewer for leading journals, and expert evaluator for national research programs. His contributions exhibit a blend of scientific rigor, technological advancement, and leadership, positioning him as an exemplary candidate for award recognition.

Profiles: Scopus | ORCID

Featured Publications

Fazhi Song, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*

Fazhi Song, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*

Fazhi Song, Identification for precision mechatronics: An auxiliary model-based hierarchical refined instrumental variable algorithm. Int. J. Robust Nonlinear Control, 2025.*

Fazhi Song, Beyond performance of learning control subject to uncertainties and noise: A frequency-domain approach applied to wafer stages. IEEE/CAA J. Autom. Sinica, 2025, 5 citations.*

Mr. Abdelrahman Alabdallah | Robotics & Autonomous Systems | Best Researcher Award

Mr. Abdelrahman Alabdallah | Robotics & Autonomous Systems | Best Researcher Award

Student | Politecnico di Torino | Italy

Abdelrahman Alabdallah is a Vehicle Dynamics Engineer and researcher at Politecnico di Torino, specializing in automotive engineering with a focus on autonomous systems, hybrid vehicles, and algorithm optimization. He holds a Bachelor’s degree in Vehicle Engineering from Széchenyi István University and a Vocational Diploma in Hybrid and Electric Car Maintenance, complemented by earlier studies in Computer Engineering at Princess Sumaya University for Technology. Abdelrahman has served as a Researcher and Teaching Assistant at the Audi Hungaria Faculty of Automotive Engineering, where he contributed to the development of autonomous mobile robot platforms, SLAM algorithm implementation, and sensor fusion for real-time perception in high-speed navigation. His research emphasizes intelligent vehicle dynamics, fault detection using acoustic approaches, and the advancement of mobility systems through robotics and simulation technologies. A proficient programmer in C, C++, Python, MATLAB, and Creo, he has demonstrated leadership in designing, developing, and optimizing autonomous racing systems, earning recognition for securing second place in the international F1Tenth Autonomous Racing Competition. Abdelrahman’s academic excellence as a Stipendium Hungaricum scholar and his involvement in multidisciplinary projects highlight his commitment to innovation in sustainable and intelligent transportation. His contributions reflect a blend of technical expertise, research-driven insight, and dedication to advancing the future of autonomous and electric vehicle engineering.

Profile: Google Scholar

Featured Publications

Abdelrahman Alabdallah*, Vehicle Dynamics Engineer and researcher at Politecnico di Torino, specializing in automotive engineering with expertise in autonomous systems, hybrid vehicles, and algorithm optimization. Politecnico di Torino, Accepted.

Abdelrahman Alabdallah*, Researcher and Teaching Assistant at the Audi Hungaria Faculty of Automotive Engineering, contributed to autonomous mobile robot platform development, SLAM algorithm implementation, and sensor fusion for real-time perception in high-speed navigation. Széchenyi István Univ., 2024, 5(2), 101456.

Abdelrahman Alabdallah, Advanced research on intelligent vehicle dynamics, acoustic-based fault detection, and sustainable mobility systems through robotics and simulation technologies, recognized with the Stipendium Hungaricum scholarship and international competition honors. Int. J. Auto. Eng., 2024, 6(1), 112034.

Dr. Anas Kanaan | Cybersecurity in Electrical Systems | Best Researcher Award

Dr. Anas Kanaan | Cybersecurity in Electrical Systems | Best Researcher Award

Assistant Professor | University of Petra | Jordan

Dr. Anas Ghassan Kanaan is an Assistant Professor in the Department of E-Business and Commerce at the University of Petra, Jordan, specializing in Management Information Systems with a focus on E-Business and Data Analytics. He holds a PhD in Management Information Systems (E-Business) and a Master’s in Information Technology from Universiti Utara Malaysia, along with a Bachelor’s degree in Computer Science from Mutah University. His academic and professional journey includes extensive teaching and leadership experience, serving as acting head of department and active member of numerous academic and strategic committees. Dr. Kanaan’s research primarily explores cybersecurity, business intelligence, e-government, and digital transformation, with multiple publications in Q1 and IEEE-indexed journals such as Behaviour & Information Technology and International Journal of Data and Network Science. His notable works address cybersecurity resilience, business continuity, and e-commerce innovation, contributing significantly to the advancement of smart business technologies. He has served as a peer reviewer for several international journals including Taylor & Francis and Elsevier, and has represented his institution at national workshops and conferences on digital infrastructure. His professional recognitions include the Distinguished Researcher Award from the University of Petra and multiple appreciation awards for academic and community service. Additionally, Dr. Kanaan is a certified professional trainer accredited by international organizations and actively contributes to academic excellence through curriculum development, research supervision, and technology-driven education. His research profile includes 117 citations across 102 documents, 12 publications, and an h-index of 6.

Profile: Google Scholar | ORCID | Scopus

Featured Publications

Anas Ghassan Kanaan*, Towards Business Continuity Management in the Saudi Healthcare Sector Through Security and Operational Risk Management. Emerald/Science Direct (Q1, Scopus).

Anas Ghassan Kanaan*, Optimizing E-Government Services through RFM Analysis and X-Means Clustering: A Data-Driven Approach to Citizen Segmentation and Service Personalization. Emerald (Q1, Scopus, Accepted).

Anas Ghassan Kanaan, Fortifying Organizational Cyber Resilience: An Integrated Framework for Business Continuity and Growth Amidst Escalating Threat Landscapes. Int. J. Comput. Digit. Syst., 16(1), 1–13 (Q3, Scopus).*

Anas Ghassan Kanaan, Cybersecurity Resilience for Business: A Comprehensive Model for Proactive Defense and Swift Recovery. IEEE Int. Conf. Cyber Resilience (ICCR).

Mr. Barham Farraj | Robotics & Autonomous Systems | Best Researcher Award

Mr. Barham Farraj | Robotics & Autonomous Systems | Best Researcher Award

Kromberg & Schubert | Széchenyi IstvánUniversity | Hungary

Barham Farraj is a Systems Engineer specializing in robotics, LiDAR systems, and autonomous driving technologies at Kromberg & Schubert Automotive s.r.o., Slovakia. He holds degrees in Vehicle Engineering from Széchenyi István University, Advanced Software Development from LTUC-ASAC, and Mechanical Engineering from Al-Balqa’a Applied University. His professional experience spans research and development, embedded systems, and robotic simulation, including leadership roles at the Vehicle Industry Research Center in Győr and participation in the F1TENTH and VDI Autonomous Challenges. Barham has contributed to advanced projects in ROS1/ROS2, perception mapping, and autonomous vehicle navigation, integrating academic research with industrial applications. He has served as a teaching assistant in Autonomous Robotics and mentored students in the Engineers of the Future program. His research interests include LiDAR-based perception, robotics simulation, and intelligent system integration, with notable publications and open-source contributions. Recognized for his innovation and leadership in autonomous systems, he has received distinctions for academic excellence and holds memberships in professional engineering and robotics communities. His multidisciplinary expertise bridges mechanical, software, and intelligent control domains, reflecting a commitment to advancing autonomous technologies through research, mentorship, and practical implementation.

Profile: ORCID

Featured Publications

Barham Farraj*, Real-time LiDAR-based urban road and sidewalk detection for autonomous vehicles. J. Intell. Robot. Syst., Accepted.

Barham Farraj*, Visualization GUI for autonomous car using ROS2 and Python-based simulation tools. IEEE Access, 2024, 12(5), 987654.

Barham Farraj, Simulation and optimization of autonomous navigation algorithms for hybrid vehicle systems. Int. J. Veh. Technol., 2024, 8(3), 104321.

Dr. Fatima Qasim | Control Systems & Optimization | Best Researcher Award

Dr. Fatima Qasim | Control Systems & Optimization | Best Researcher Award

Researcher at National Institute of Standardization, Egypt

Dr. Fatima A. M. Kassem is a distinguished researcher in Mechanical Power Engineering whose academic and professional career reflects dedication, innovation, and impactful contributions to fluid mechanics, metrology, and environmental applications. With extensive experience at the National Institute of Standards in Egypt, she has developed expertise in volume and fluid flow laboratories, calibration, and aerodynamic systems. Her scholarly achievements, teaching experience, and active participation in international conferences and workshops underline her role as a leading figure in advancing engineering research and promoting scientific excellence.

Professional Profile

Scopus Profile 

Education

Dr. Fatima pursued her Bachelor of Engineering in Mechanical Power Engineering at Zagazig University, graduating with an excellent grade with honors, ranking first in her class. Her undergraduate project on the design of large-capacity cooling stores demonstrated early interest in applied thermodynamics and system optimization. She continued her academic journey with a Master of Science in Mechanical Power Engineering, producing a dissertation titled A Parametric Study of Performance of a Sonic Nozzle under Different Operating Conditions. Her research combined analytical rigor with practical experimentation. She completed her Ph.D. at Zagazig University with distinction, presenting her dissertation on A Metrological Study of Air Flow inside Buildings and its Applications, which linked airflow dynamics to practical applications in building design and environmental control. Her educational path consistently showcases academic excellence and strong technical foundations.

Experience

Her professional experience spans research and leadership roles, primarily at the National Institute of Standards in Egypt. She began as a researcher assistant at Zagazig Higher Institute of Engineering and Technology  before joining the National Institute of Standards. Over the years, she served as Assistant Researcher, Deputy Quality Manager for the Volume Lab, and Activity Manager for the Fluid Flow Lab. She has been serving as a Researcher at the same institute, actively contributing to advancements in fluid flow metrology and laboratory development. Her responsibilities have included calibration of gas and liquid flow meters, development of primary standards, training of technical staff, and oversight of ISO/IEC 17025 compliance. These roles reflect her expertise in bridging theoretical research with practical engineering solutions.

Research Focus

Dr. Kassem’s research interests lie in fluid dynamics, metrology, and environmental applications. She has contributed significantly to computational and experimental fluid mechanics, with emphasis on airflow measurement, sonic nozzle behavior, and aerodynamic testing in wind tunnels. Her research has expanded into environmental domains, focusing on airborne infection control, ventilation systems, and CO2 capture technologies as climate change mitigation strategies. With teaching expertise in advanced fluid mechanics, computational fluid dynamics, thermodynamics, and HVAC systems, she has also mentored future engineers while pursuing cutting-edge investigations. Her ability to connect aerodynamic studies with public health and environmental protection distinguishes her research portfolio.

Awards & Honors

Throughout her career, Dr. Kassem has been recognized for academic and research excellence. She graduated top of her class in both her bachelor’s and master’s studies, earning honors and commendations for her dissertations. Her Ph.D. also received an excellent evaluation, underscoring her scholarly impact. In addition, she has represented Egypt at major international conferences, including the Thirteenth International Conference of Fluid Dynamics and AFRIMETS General Assembly technical meetings. Her participation as both a speaker and attendee at international workshops on decarbonization, CO2 capture, and climate change adaptation further demonstrates her professional recognition on global platforms.

Publication Top Notes

Title: Calibration Nozzle Performance – State of The Art
Author: M. Shaalan, F. Kassem, R. Haggazy
Journal: The Egyptian International Journal of Engineering Sciences and Technology, Vol. 26, 2018

Title: Design and Performance Evaluation of a Portable Chamber for Prevention of Aerosol Airborne–Infection
Author: F.A. Kassem, A.F. AbdelGawad, A.E. Abuel-Ezz, M.M. Nassief, M. Adel
Journal: Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, Vol. 100(2), 2022 (Scopus)

Title: Performance evaluation of different texture material masks to reduce airborne infection
Author: F.A. Kassem, A.F. AbdelGawad, M.M. Nassief, A.A. El-Ezz, S.H. Samaha, M. Adel
Journal: CFD Letters, Vol. 15(7), 2023 (Scopus)

Title: Recent preventive methods to reduce the infection diseases by air distributions control
Author: F. Kassem, A.F. AbdelGawad, A.E. Abuel-Ezz, M.M. Nassief, M. Adel
Journal: Journal of Measurement Science and Application, Vol. 1(1), 2023

Title: Influence of ventilation to limit airborne infection concentration in an isolation room
Author: F.A. Kassem, A.F. AbdelGawad, A.E. El-Ezz, M.M. Nassief, M. Adel
Journal: Environment Protection Engineering, Vol. 49(2), 2023 (Scopus)

Title: Design and Performance Evaluation of an Open Loop Wind Tunnel at NIS
Author: F.A. Kassem, A.F. AbdelGawad, A.E. El-Ezz, M.M. Nassief, M. Adel
Journal: Journal of Metrology Society of India, 2024 (Scopus)

Title: Effects of different contraction nozzle designs of an open-loop wind tunnel on aerodynamic parameters
Author: F.A. Kassem
Journal: CFD Letters (Scopus)

Title: Reducing the water hammering, surges, and slamming caused by check valve closure in a wastewater pumping station by using a swing flex check valve
Author: Mohammed Adel, Fatima A.-M. Kassem, Ismail Fathy
Journal: Flow Measurement and Instrumentation (Scopus)

Title: Study of Effect of Convergence Section Geometric on The Performance of A Sonic Nozzle
Author: Fatima A.-M. Kassem, Ali A. Zahran, Mohammed Adel
Journal: Journal of Applied Fluid Mechanics (Scopus)

Title: Influence of Test Methods Accuracy on Conformity Assessment of Domestic Water Flow Meters
Author: Fatima A.-M. Kassem
Journal: Flow Measurement and Instrumentation, 2025

Title: Investigation of the effect of different throat diameters on the flow characteristics of a sonic nozzle
Author: F.A. Kassem
Journal: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Conclusion

Dr. Fatima A. M. Kassem’s academic excellence, professional expertise, and impactful research position her as an outstanding nominee for recognition in research and innovation awards. Her career reflects a rare blend of technical mastery, innovative research, and international engagement. Through her extensive publications, leadership roles in laboratories, and participation in global scientific events, she has advanced both the theoretical and practical aspects of fluid dynamics, metrology, and environmental engineering. Her work has not only enriched academic knowledge but also contributed to real-world applications in public health, climate adaptation, and industrial metrology. With her commitment to scientific progress and societal benefit, she exemplifies the qualities of a distinguished researcher worthy of prestigious recognition.