Anas Abdelrahman | Engineering and Technology | Best Researcher Award

Posted on 07/08/202507/08/2025 by Research Hypothesis

Dr. Anas Abdelrahman | Engineering and Technology | Best Researcher Award

Dr. Anas Abdelrahman | Engineering and Technology | Assistant Professor of Mechanical Engineering | Egypt

Dr. Anas Mohamed Abdelrahman is an accomplished Assistant Professor of Mechanical Engineering at Future University in Egypt and a Post-Doctoral Fellow at Zhejiang University China. He holds a PhD in Thermal Power Engineering from Huazhong University of Science and Technology, and his research spans advanced topics such as hydrogen energy, cryogenics, thermal management, machine learning applications, and renewable energy systems. With over 20 publications in prestigious international journals, Dr. Abdelrahman has made significant contributions to intelligent modeling and optimization in energy systems. He has been recognized with multiple academic excellence awards and serves as a peer reviewer for top-tier journals, reflecting his academic influence. His international academic engagements and mentorship of engineering students demonstrate a commitment to both research and education, positioning him as a forward-looking and impactful researcher in the global mechanical and energy engineering community.

Professional Profile

Education

Dr. Anas Mohamed Abdelrahman has a strong academic foundation in mechanical and thermal engineering. He is currently a post-doctoral fellow at both Zhejiang University (ZJU) and Hangzhou City University (HZCU) in China, focusing on energy and cryogenic research. He earned his PhD in Thermal Power Engineering from the Department of Refrigeration and Cryogenics at Huazhong University of Science and Technology (HUST), Wuhan, China, where his research emphasized artificial intelligence modeling and scaling analysis for thermoacoustic systems. Prior to that, he completed his MSc in Design and Production Engineering at Ain Shams University, Cairo, Egypt, with a thesis centered on intelligent techniques in the wire EDM process. He also holds a BSc in Mechanical Power Engineering from Ain Shams University, graduating with a “Very Good” grade and an “Excellent” graduation project on central air conditioning system design. His academic journey reflects a continuous pursuit of interdisciplinary innovation in energy and thermal systems.

Professional Experience

Dr. Anas Mohamed Abdelrahman has amassed extensive professional experience in both academia and industry. He has been a faculty member in the Mechanical Engineering Department at Future University in Egypt (FUE), where he currently serves as an Assistant Professor. In parallel, he is a post-doctoral research fellow at Zhejiang University (ZJU) and Hangzhou City University (HZCU) in China, contributing to advanced research in cryogenics and hydrogen energy. He also held a short-term instructional position at the Public Authority for Applied Education and Training (PAAET) . Earlier in his career, he worked as a Production Planning Engineer at Elsewedy Cables Company in Cairo, Egypt. Dr. Abdelrahman’s career demonstrates a solid blend of teaching, research, and industrial expertise, with a focus on applying advanced thermal and energy systems research to real-world engineering challenges.

Research Interest

Dr. Anas Mohamed Abdelrahman’s research interests are deeply rooted in the fields of energy, thermal sciences, and intelligent engineering systems. His work spans a wide range of topics, including refrigeration and cryogenics, hydrogen energy, energy storage systems, and multilayer insulation materials. He is particularly focused on the application of artificial intelligence and machine learning for intelligent modeling and optimization in thermal and fluid systems. His research also explores thermoacoustics, pulsating heat pipes, heat transfer enhancement, waste heat recovery, and fluid-solid interactions. Additionally, he is actively involved in renewable energy applications such as solar energy management, solar chimney systems, and thermal management of electronic devices. Through this multidisciplinary approach, Dr. Abdelrahman aims to develop innovative, energy-efficient, and sustainable engineering solutions for emerging global challenges.

Award and Honor

Dr. Anas Mohamed Abdelrahman has received numerous awards and honors in recognition of his academic excellence and research contributions. He was honored with the Post-Doctoral Talent Recognition Certificate by Zhejiang University in China and received several Outstanding Academic Achievement Awards during his MSc, PhD, and undergraduate studies from institutions including Future University in Egypt and Huazhong University of Science and Technology (HUST), China. His PhD work also earned him the Outstanding Academic Excellence Award in Scientific Research at HUST, along with an honorary recognition for international PhD graduates. Additionally, Dr. Abdelrahman has been acknowledged for his service as a peer reviewer for leading international journals such as Applied Energy, International Journal of Hydrogen Energy, Energy, The Journal of the Acoustical Society of America, and Thermal Science and Engineering Progress, receiving honorary certificates . These accolades reflect his dedication to advancing engineering science and his standing in the global research community.

Publications Top Noted

Prediction of output power with artificial neural network using extended datasets for Stirling engines
Year: 2020 | Cited by: 61

Prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger through artificial neural network technique
Year: 2018 | Cited by: 59

Single-objective optimization for stack unit of standing wave thermoacoustic refrigerator through fruit fly optimization algorithm
Year: 2019 | Cited by: 27

Prediction of acoustic wave parameters of thermoacoustic prime mover through artificial neural network technique: Practical approach for thermoacoustics
Year: 2018 | Cited by: 15

Prediction of cooling load for a standing wave thermoacoustic refrigerator through artificial neural network technique
Year: 2017 | Cited by: 15

Prediction of pressure evolution in non-venting self-pressurized liquid hydrogen tanks using artificial neural network approach
Year: 2024 | Cited by: 10

Single-objective Optimization for Stack Unit of Standing Wave Thermoacoustic Refrigerator through Particle Swarm Optimization Method
Year: 2019 | Cited by: 10

Experimental and theoretical study on the optimal placement of reflective shield in multilayer insulation systems
Year: 2025 | Cited by: 3

IMPROVED PREDICTIONS OF ONSET TEMPERATURE IN TWIN THERMOACOUSTIC HEAT ENGINE BY NEURAL NETWORK BASED CALIBRATED THERMOACOUSTIC MODEL
Year: 2019 | Cited by: 3

Solar Chimney Power Plants: A Mini Review
Year: 2022 | Cited by: 2

Conclusion

Dr. Anas Mohamed Abdelrahman is highly suitable for the Best Researcher Award, particularly in fields related to mechanical engineering, energy systems, cryogenics, and intelligent modeling.

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Posted on 12/02/202512/02/2025 by Research Hypothesis

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Mona AbouEleaz, Mansoura University, Egypt

Assoc. Prof. Dr. Mona AbouEleaz 🌍⚙️ is a distinguished academic in Production Engineering at Mansoura University, Egypt. With a Ph.D. in Production Engineering 🎓, her expertise spans Smart Manufacturing, Industry 4.0, Lean Six Sigma, and Quality Improvement approaches 📊. She has held roles as a postdoctoral researcher in Canada 🇨🇦 and visiting lecturer in the UK 🇬🇧. As the Executive Director of the University Center for Career Development, she fosters student growth 🚀. Dr. AbouEleaz has published extensively 📚, supervised over 35 projects 🛠️, and actively contributes to academic accreditation and international collaborations 🌐. She enjoys reading, drawing, sports, and traveling ✈️🎨.

Publication Profile

Google Scholar

Education

Assoc. Prof. Dr. Mona AbouEleaz holds a Ph.D. in Production Engineering from Mansoura University, Egypt (2010–2015), with a thesis titled “Lean Six Sigma Practices into an Organizational Quality Management System” 🎯📊. She earned her M.Sc. in Industrial Engineering from Alexandria University (2005–2008), focusing on “Hierarchic Framework for Quality Improvement Approaches” ⚙️📈. Dr. AbouEleaz also holds a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors and ranking first in her class 🏅🎓. Her academic journey reflects a strong commitment to quality improvement, engineering excellence, and continuous innovation 🔍💡.

Experience

Assoc. Prof. Dr. Mona AbouEleaz is a distinguished academic with extensive experience in mechanical design and production engineering. She’s a lecturer at Mansoura University, Egypt 🇪🇬, and has served as a visiting lecturer at the University of Central Lancashire, UK 🇬🇧, and a postdoctoral researcher at the University of Calgary, Canada 🇨🇦. Dr. AbouEleaz excels in leadership roles, serving as Executive Director of the University Career Center and coordinating ERASMUS programs 🌍. Her contributions to strategic planning, quality assurance ✅, and international collaboration 🤝 have significantly advanced Mansoura University’s academic landscape.

Research Focus

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on advanced manufacturing processes, particularly in Wire Electrical Discharge Machining (WEDM) and material performance analysis. Her work explores surface roughness, material removal rates, and optimization of machining parameters for alloys like AISI304 and AISI316. She also delves into roundness measurement techniques, finite element analysis, and the impact of ERP systems on production efficiency. Additionally, her studies address supply chain performance and process improvement strategies in manufacturing. ⚙️🔩📊✨🔍

Research Interest

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on Smart Manufacturing and Industry 4.0 🚀🏭. She specializes in enhancing the performance of production and service systems through Quality Improvement approaches, including Lean Six Sigma 📊, optimization methods ⚙️, and Response Surface Methodology. Her expertise extends to Uncertainty Analysis, MCDM (Multi-Criteria Decision Making), and Decision Making Under Uncertainty 🤔. Dr. Mona also works on Measurement Uncertainty, Mechanical Testing 🧪, and utilizes tools like Minitab and ANSYS for statistical and engineering analysis. Her research aims to boost efficiency, precision, and decision-making in advanced manufacturing environments 🌟.

Publication Top Notes

Experimental investigation of surface roughness and material removal rate in wire EDM of stainless steel 304

Methods of roundness measurement: An experimental Comparative study

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement.

A critical review of supply chain performance evaluation

A study of drilling parameter optimization of functionally graded material steel–aluminum alloy using 3D finite element analysis

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

Types Using Texture Features and Neural Networks: A Robust Approach

Investigating the Impact of Cutting Parameters on Roundness and Circular Runout Using Signal-to-noise Ratio Analysis

Shah Faisal | Engineering and Technology | Best Researcher Award

Posted on 16/09/202416/09/2024 by Research Hypothesis

Shah Faisal | Engineering and Technology | Best Researcher Award

Mr Shah Faisal, Southeast University, China

Based on the information provided, Shah Faisal appears to be a suitable candidate for the Best Researcher Award. His strong academic background, including a Ph.D. in Electrical Engineering with a focus on Integrated Energy Systems and Power to Gas technologies, reflects a deep commitment to advancing research in critical areas such as renewable energy, electric vehicles, and energy system optimization. Below is an evaluation of his qualifications:

Publication profile

Orcid

Research Contributions

Shah Faisal has published impactful articles, including works on Integrated Energy Systems and Power to Gas Technology, which are crucial for modern energy infrastructure. His 2020 article in the European Journal of Electrical Engineering and Computer Science and the 2024 article in Energies both focus on emerging technologies for energy integration, highlighting his ongoing contribution to cutting-edge research.

Academic Excellence

Faisal holds a Ph.D. and Master’s in Electrical Engineering from Southeast University, China, with notable awards like the Nanjing Municipal Government Scholarship and the Chinese Government CSC Scholarship. These achievements underline his excellence in academia and his potential to continue making high-level research contributions.

Leadership and Editorial Roles

Faisal serves as an editor for several international journals, such as the European Journal of Engineering and Technology Research and the Journal of Electrical and Electronic Engineering. These editorial positions underscore his expertise in reviewing and curating quality research, enhancing his profile as a respected researcher in the field.

Work Experience and Applied Research

His professional background as an Assistant Plant Manager and Lecturer, combined with his technical expertise in systems like SCADA and PLC, showcase his ability to translate theoretical research into practical solutions. He has also worked on projects related to electric vehicle charging systems and grid station technologies, further emphasizing his research’s practical implications.

Professional Memberships

As a member of esteemed organizations like IEEE and the National Society of Professional Engineers, Faisal maintains a strong connection with the international research community, helping him stay at the forefront of innovations in energy and power systems.

Research focus

Shah Faisal’s research primarily focuses on integrated energy systems and the application of Power-to-Gas (PtG) technology. His work explores how PtG technology can convert surplus electrical energy, especially from renewable sources like wind and solar, into hydrogen or methane, which can be stored and utilized across energy sectors. This research promotes the decarbonization of energy systems, enhances energy storage, and strengthens energy grid flexibility. By integrating gas and electricity networks, his studies aim to develop sustainable and resilient energy infrastructure solutions for future smart grids. 🌍⚡🔋🌱💡

Conclusion

Shah Faisal’s qualifications and contributions make him a competitive candidate for the Best Researcher Award. His research in integrated energy systems, renewable energy technologies, and his editorial roles reflect a well-rounded researcher dedicated to impactful and innovative research in electrical engineering.

Publication top notes

A Comprehensive Review of Integrated Energy Systems Considering Power-to-Gas Technology

A Review of Integrated Energy System with Power to Gas Technology

Monideep Dey | Engineering and Technology | Best Researcher Award

Posted on 03/09/202403/09/2024 by Research Hypothesis

Monideep Dey | Engineering and Technology | Best Researcher Award

Dr Monideep Dey, Deytec, Inc. United States

Dr. Monideep Dey is highly suitable for the Best Researcher Award due to his extensive contributions to nuclear safety regulation and international standards over a 44-year career. As the principal consultant of Deytec, Inc., Dr. Dey has focused on promoting rigorous nuclear safety practices and supporting international safety standards to ensure a high level of nuclear safety globally.

Publication profile

Orcid

Innovative Performance-Based Regulation

During his tenure at the US Nuclear Regulatory Commission, Dr. Dey pioneered the use of advanced models for performance-based regulation, significantly enhancing nuclear safety. His work included the verification of these models for effective use in nuclear safety regulation.

International Expertise and Leadership

Dr. Dey has served as a US technical expert in various leadership roles, including at the International Organization for Standardization (ISO) and the United Nations Economic Commission for Europe (UNECE). His contributions in these roles have been instrumental in advancing global safety and conformity assessment standards.

Significant Academic Contributions

Dr. Dey’s academic background, with a PhD in Nuclear Engineering from the University of Michigan, has provided a strong foundation for his extensive research and publications. His work has been documented in numerous conference papers and journal articles, showcasing his impact on nuclear safety and fire protection standards.

Recognition and Awards

Throughout his career, Dr. Dey has been recognized with several awards, including the Special Achievement Award and the High-Quality Award. His leadership and contributions have been acknowledged by peers, further highlighting his qualifications for the Best Researcher Award.

Conclusion

With his vast experience in nuclear safety regulation, international standards, and public policy, combined with his innovative research and leadership, Dr. Monideep Dey exemplifies the qualities of a top researcher in his field, making him an ideal candidate for the Best Researcher Award.

Publication top notes

An evaluation of risk methods for prioritizing fire protection features: A procedure for fire barrier penetration seals

Conceptual framework for formulating a focused and cost-effective fire protection program based on analyses of risk and the dynamics of fire effects

Abdul Rehman | Engineering and Technology | Best Researcher Award

Posted on 27/07/202427/07/2024 by Research Hypothesis

Abdul Rehman | Engineering and Technology | Best Researcher Award

Dr Abdul Rehman ,University of L’Aquila, Italy

Abdul Rehman is a dedicated researcher with a Ph.D. in Information and Communication Technologies from the University of L’Aquila, specializing in network architecture, industrial IoT, and simulation environments 🎓🌐. He has extensive experience in designing scalable communication systems and developing integrated simulators for complex networks, focusing on SDN and RIS technologies 🖧💻. Abdul has published numerous papers in top-tier journals and conferences, contributing to advancements in wireless and high-frequency communications 📚📡. He has also taught at the Venture College of Engineering in Islamabad, Pakistan, and has a Master’s in Electronics and Communication Engineering from Shanghai 🌏📘.

Publication profile

google scholar

Education

Dr. Abdul Rehman is a dedicated researcher specializing in ICT with a Ph.D. from the University of L’Aquila, Italy (2021-2024). His thesis focuses on performance analysis of multiple access protocols for sidelink vehicular communications, encompassing 5/6G, URLLC, and wireless communication 📡🚗. He holds a Master’s in Electronics and Communication Engineering from Shanghai Jiao Tong University, China (2017-2019), where he researched GNSS integration for pedestrian smartphone navigation 📱🛰️. His Bachelor’s in Electrical (Telecommunication) Engineering from Government College University Faisalabad, Pakistan (2013-2017) involved deforestation analysis using remote sensing 🌲🛰️. His expertise includes sensor fusion, signal processing, and satellite communications.

Experience

From July 2021 to October 2024, He worked as a researcher at EX-EMERGE in L’Aquila, Italy, focusing on Energy Efficient Networks, URLLC in IoT, and Sidelink Vehicular Communications. He developed scalable and secure architectures for wireless systems, researched adaptive modulation and coding techniques, and designed integrable systems for efficient communication in varying conditions. He findings were published in top-tier journals and conferences. From July 2019 to December 2020, He lectured at Venture College of Engineering in Islamabad, Pakistan, teaching courses like Wireless Communication and supervising undergraduate research projects 📡📚🔬.

Honors and Awards

In 2019, the Certificate of Honor was awarded at the China Satellite Navigation Conference 🌟. Recognition for serving as Chairperson at IEEE-SAC was received in 2015 🏅. The same year saw the completion of the Continuing Professional Development Program (CPD-PEC) 📜. Significant contributions to the IEEE Young Professionals and Skill Development Program were acknowledged in 2014 🎓. Participation in the IEEE Tech-fair also occurred in 2014 🚀. Furthermore, a Certificate of Distinction was awarded for achieving 3rd position in BISE in 2014 🎖️.

Research focus

A Rehman’s research focuses on advanced techniques in image processing, GNSS/PDR integration, and communication systems. Notable works include developing Mask RCNN-FPN for breast lesion detection 🩺, utilizing extended Kalman filters for precise pedestrian smartphone navigation 📱, and analyzing deforestation in northern Pakistan using supervised classification 🌲. His contributions to GNSS and PDR fusion algorithms improve pedestrian navigation accuracy 🧭. Additionally, his research on multiple access interference in LTE-V2X and NR-V2X sidelink communications enhances vehicular communication networks 🚗. These diverse studies highlight A Rehman’s expertise in biomedical imaging, navigation technology, and communication systems 📡.

Publication top notes

Multi-detection and segmentation of breast lesions based on mask rcnn-fpn

Accurate and direct GNSS/PDR integration using extended Kalman filter for pedestrian smartphone navigation

Deforestation analysis of northern areas (Pakistan) using image processing and maximum likelihood supervised classification

PDR/GNSS fusion algorithm based on joint heading estimation

On the Impact of Multiple Access Interference in LTE-V2X and NR-V2X Sidelink Communications

Analytical modeling of multiple access interference in C-V2X sidelink communications

Wanting Zhu | Engineering and Technology | Best Researcher Award

Posted on 27/07/202427/07/2024 by Research Hypothesis

Wanting Zhu | Engineering and Technology | Best Researcher Award

Ms Wanting Zhu, School of Electronic Information, Central South University, China

Wanting Zhu is pursuing an M.S. in Electronic Science and Technology at Central South University, China, where she earned her B.S. degree in 2022. She has authored four papers, cited over 30 times. Her research focuses on chaos theory and nonlinear dynamics, exploring complex behaviors in dynamic systems, such as multi-cavity maps and neuron behavior. Zhu’s work involves modeling nonlinear chaotic maps, dynamic analyses, and both digital and analog circuit design, aiming to advance understanding in chaotic systems and their applications across various scientific fields. 📚🔬🌐✨

Publication profile

Orcid

Education

Wanting Zhu received her B.S. degree in Electronic Information Science and Technology from Central South University, China, in 2022. She is pursuing her M.S. degree at the same institution, focusing on chaos theory and nonlinear dynamics. She has authored 4 papers, cited over 30 times. Her research involves modeling nonlinear chaotic maps, dynamic analyses, digital and analog circuit design, advancing understanding in chaotic systems. Kehui Sun, a Professor at Central South University since 2006, received his B.S., M.S., and Ph.D. degrees from the same university. Recognized as a Highly Cited Researcher by Elsevier (2020-2023), he has published over 180 papers, holds 6 patents, and received the Hunan Province Third Prize in Natural Science. 📚🔍✨🔬

Research focus

Wanting Zhu’s research focuses on the dynamics, synchronization, and applications of chaotic systems, particularly in discrete neuron-like maps and hyperchaotic maps. This involves studying the behavior of these systems under various conditions and exploring their potential applications in fields like analog circuit implementation and rotational control operations. Zhu’s work spans the development of multi-dimensional hyperchaotic maps and their practical uses, contributing significantly to the understanding and manipulation of complex dynamic systems. This research aids in advancements in chaos theory and its practical implementations. 🧠🔄🔬📊🔧