Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Posted on 12/02/202512/02/2025 by ScienceFather

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

Abdullah Irankhah | Engineering and Technology | Best Researcher Award

Posted on 28/12/202428/12/2024 by ScienceFather

Abdullah Irankhah | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Abdullah Irankhah, University of Kashan, Iran

Assoc. Prof. Dr. Abdullah Irankhah is an expert in Chemical Engineering with a focus on catalysts, reactors, and process design. He holds degrees from Ferdowsi University and Tarbiat Modares University, specializing in gas industries, process design, and Fischer-Tropsch synthesis. He has received several accolades, including third place in the 21st Khwarizmi International Festival and multiple awards for his innovative contributions. Dr. Irankhah has guided numerous industrial research projects and written influential books on fuel cells and hydrogen technologies. He is a member of various scientific associations and has published extensively on catalytic processes and hydrogen production. 🏅🔬📚⚙️

Publication Profile

google scholar

Educational Background

Assoc. Prof. Dr. Abdullah Irankhah is a distinguished chemical engineer with a B.Sc. from Ferdowsi University of Mashhad, an M.Sc. from Tarbiat Modares University, and a Ph.D. in Chemical Engineering from the same institution. His expertise lies in catalytic processes and reactor design, with a specific focus on Fischer-Tropsch synthesis and supercritical fluid processes. His research has significantly contributed to the development of more efficient catalytic methods and reactor designs. Through his academic and research work, Dr. Irankhah continues to advance the field of chemical engineering. 🔬⚙️🌱

Academic and Teaching

Assoc. Prof. Dr. Abdullah Irankhah is a distinguished educator in the field of chemical engineering, teaching advanced courses such as catalysis, reactor design, and process control. With a passion for both teaching and research, he has earned recognition for his contributions, receiving prestigious awards such as “Outstanding Researcher” and “Outstanding Educator” at Kashan University. His dedication to advancing knowledge in chemical engineering and nurturing future professionals has made a significant impact in academia. 🏆🎓⚙️💡

Research Achievements

Dr. Irankhah’s research focuses on catalytic processes, hydrogen production, and reactor design, with several notable publications in high-impact journals. His groundbreaking work on Fischer-Tropsch synthesis has provided valuable insights into catalysis, advancing the chemical engineering field. Additionally, Dr. Irankhah has made significant contributions to microreactor design, enhancing the efficiency and scalability of chemical reactions. His innovative approaches in these areas continue to shape advancements in sustainable energy and industrial processes. 🌱⚗️💡📚

Awards and Honors

Dr. Irankhah has earned numerous prestigious accolades throughout his career. He secured third place at the 21st Khwarizmi International Festival 🏆 and was awarded “Best Innovative Design” at the Car-e-Chem competition in Spain 🇪🇸. These accomplishments highlight his exceptional creativity and expertise. In addition to his awards, Dr. Irankhah is an active member of various renowned scientific organizations, contributing to the advancement of his field 🌍🔬. His achievements reflect a commitment to innovation, excellence, and continuous growth in the scientific community. 👏🌟

Research Focus

Assoc. Prof. Dr. Abdullah Irankhah’s research focuses on hydrogen energy, catalysis, and environmental chemical engineering. He investigates hydrogen generation, ethanol steam reforming, and reverse water gas shift reactions, often utilizing advanced catalysts like nickel, ceria, and magnesium-based materials. His work also explores CO2 mitigation, fuel cell technologies, and catalytic reactions for hydrogen purification. His expertise includes reaction kinetics, catalyst performance, and the development of novel materials for energy production and environmental sustainability. His contributions aim to improve energy efficiency and environmental impact, addressing key challenges in renewable energy and carbon reduction. 🔋💨🔬🌱

Publication Top Notes

Hydrogen generation using activated aluminum/water reaction

Cu, Mg and Co effect on nickel-ceria supported catalysts for ethanol steam reforming reaction

Reverse water gas shift reaction and CO2 mitigation: nanocrystalline MgO as a support for nickel based catalysts

NiFe2O4 Spinel Protection Coating for High-Temperature Solid Oxide Fuel Cell Interconnect Application

Medium‐Temperature Shift Catalysts for Hydrogen Purification in a Single‐Stage Reactor

Fischer-Tropsch reaction kinetics of cobalt catalyst in supercritical phase

Fischer‐Tropsch Synthesis Over Co‐Ru/γ‐Al₂O₃ Catalyst in Supercritical Media

Effect of Surfactants and Digestion Time on Nano Crystalline Cerium Oxide Characteristics Synthesized by Differential Precipitation

Sandeep Jain | Engineering and Technology | Best Researcher Award

Posted on 12/12/202412/12/2024 by ScienceFather

Sandeep Jain | Engineering and Technology | Best Researcher Award

Dr Sandeep Jain, Sungkyunkwan University, Republic of Korea, South Korea

Dr. Sandeep Jain is a metallurgical engineer and researcher with expertise in machine learning applications in alloy design, lightweight materials, and high-entropy alloys. He holds a Ph.D. (2023) and M.Tech. (2017) from IIT Indore and a B.E. in Mechanical Engineering (2013). Currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea, Dr. Jain focuses on designing multicomponent alloys and optimizing manufacturing processes. He has published extensively, including works on machine learning-driven phase prediction and flow stress modeling. Dr. Jain is a guest editor, reviewer for leading journals, and recipient of prestigious awards like the Global Best Achievement Award 2024. 🧪🤖🌍

Publication Profile

Orcid

Education

Dr. Sandeep Jain is a dedicated scholar with a robust academic background in engineering. 🎓 He earned his Ph.D. (2017-2023) and M.Tech (2015-2017) in Metallurgical Engineering and Materials Science from the prestigious Indian Institute of Technology Indore, achieving impressive CGPAs of 8.67 and 8.75, respectively. 📘✨ His journey in engineering began with a B.E. in Mechanical Engineering from MBM Engineering College, Jodhpur (2009-2013), where he secured a commendable 68% score. 🔧📚 Dr. Jain’s academic excellence reflects his passion for materials science and mechanical engineering, laying a solid foundation for impactful contributions to his field. 🚀🔬

Research Experience

Dr. Sandeep Jain, currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea 🇰🇷, specializes in designing lightweight multicomponent alloys and optimizing injection molding processes using machine learning 🤖. As a Research Associate at IIT Delhi 🇮🇳, he analyzed the mechanical and creep behavior of Ni-based superalloys and pioneered sustainable rose gold plating methods 🌟. His tenure at IIT Indore included designing lightweight Ni-based alloys and conducting advanced phase equilibria studies 🔬. Dr. Jain’s expertise extends to simulation tools like ANSYS Fluent, XRD, and EBSD, contributing to innovative and sustainable material development 🌍.

Teaching Experience

Dr. Sandeep Jain has an extensive teaching background in materials science and engineering. As a Teaching Assistant at the Indian Institute of Technology Indore (Dec 2017–Nov 2022 and July 2015–June 2017), he contributed to courses like Solidification and Phase Field Modelling, Computational Methods for Materials, and Physical Metallurgy. His expertise also spans practical modules, including Mechanical Workshop, Casting and Welding Lab. Earlier, he served as a Guest Faculty at Govt. Engineering College, Ajmer (Aug 2013–June 2014), teaching Material Science, Engineering Mechanics, Strength of Materials, and more. Dr. Jain’s dedication to education blends technical knowledge with hands-on experience. 🎓🛠️📚

Awards / Fellowships

Dr. Sandeep Jain has earned prestigious accolades for his outstanding achievements in academia and research. In 2024, he was honored with the Global Best Achievement Awards 🎖️🌟, recognizing his contributions to his field. His academic journey has been supported by prestigious fellowships, including the Ph.D. Fellowship 🧑‍🎓📚 and the M.Tech. Fellowship 🎓🔬, both awarded by the Ministry of Human Resource Development (MHRD), Government of India. These honors highlight his dedication, innovation, and excellence in advancing knowledge and contributing to societal progress. Dr. Jain’s achievements continue to inspire and set benchmarks for aspiring scholars worldwide. 🚀📖

Research Focus

Dr. Sandeep Jain’s research focuses on the development and application of machine learning techniques to predict mechanical properties in lightweight alloys and high entropy alloys. His studies include hardness prediction, flow stress, phase prediction, and the influence of processing methods like friction stir processing. These investigations aim to enhance the performance of advanced materials such as Al-Mg-based alloys and CoCrFeNiV high entropy alloys. His work bridges the gap between experimental studies and computational simulations, contributing valuable insights into alloy design and optimization. 🌟🔍📊

Publication Top Notes

A Machine Learning Perspective on Hardness Prediction in Advanced Multicomponent Al-Mg Based Lightweight Alloys

A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

Influence of Friction Stir Processing on Novel Designed Aluminium-Based Alloy to Enhance Strength and Ductility

Machine learning-driven insights into phase prediction for high entropy alloys

Effect of Ta on the Evolution of Phases and Mechanical Properties of Novel Seven Components Fe–Co–Ni–Cr–V–Al–Ta Eutectic High Entropy Alloys: Experimental Study and Numerical Simulation

Malykhina Galina | Engineering and Technology | Best Researcher Award

Posted on 09/11/202409/11/2024 by ScienceFather

Malykhina Galina | Engineering and Technology | Best Researcher Award

Prof. Dr Malykhina Galina, Graduate School of Cyber-Physical Systems Control, Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia

🌐 Prof. Dr. Galina Malykhina is a distinguished Doctor of Engineering Sciences and Professor at the Higher School of Computer Technologies and Information Systems, Peter the Great St. Petersburg Polytechnic University. After earning her degree in Technical Cybernetics, she advanced to research, specializing in radioisotope measurement for oil, UAV automation, and medical devices 🤖💼. She has guided 8 PhD and 1 doctoral thesis, authored 182+ publications, and presented globally 🌍📈. Honored as a distinguished professor, her courses cover computing networks, cybersecurity, and programming, with recent work on neural networks for industry applications 🧠📡.

Publication profile

Orcid

Academic and Professional Background

Prof. Dr. Galina Fedorovna Malykhina is a distinguished Doctor of Engineering Sciences and Professor at Peter the Great St. Petersburg Polytechnic University (SPbPU). 🌟 With a career beginning as an engineer in Technical Cybernetics, she has advanced to leadership roles in academia and research. Her expertise is backed by a Ph.D. and doctoral degree in Information, Measuring, and Control Systems. 📚🔧 Throughout her career, Prof. Malykhina has contributed significantly to various high-impact areas in engineering, becoming a recognized leader in her field. Her dedication continues to shape the future of engineering education and research. 🏫🔬

Mentorship and Academic Contributions

Prof. Dr. Malykhina has made significant contributions to academia, particularly in mentorship and research. She has supervised numerous research theses, guiding eight candidate dissertations and one doctoral dissertation. Her dedication to shaping future researchers has solidified her role as both an educator and a researcher. Through her mentorship, she fosters academic growth, ensuring that her students are equipped to succeed in their fields. Her influence extends beyond research, nurturing a new generation of scholars who will continue her work and contribute to the academic community. 🧑‍🏫📚🎓👩‍🔬📖

Recognition

Prof. Dr. Malykhina has an impressive academic record with 182 publications in the Russian Science Citation Index (RSCI), including 73 core publications and 21 indexed in Scopus and Web of Science 📚🌐. Her contributions to research and academia have earned her the prestigious title of “Honored Professor of SPbPU” 🏅, as well as a jubilee medal from SPbPU, recognizing her outstanding impact in her field 🏆. Her work continues to inspire and shape the academic community, reflecting her dedication and excellence in research and education 👩‍🏫✨.

Educational Impact and International Reach

Dr. Malykhina has made significant contributions to education by teaching a wide range of courses, from Information Security to Digital Image Processing, for both Russian and international students. Her expertise and dedication to advancing knowledge have earned her opportunities to present her research at numerous international and national conferences. These engagements have allowed her to expand the global reach of her work, bridging academic communities worldwide. Dr. Malykhina’s commitment to education and research has not only enriched her students’ learning experiences but has also made valuable contributions to the global scientific dialogue. 🎓🌍💻📊

Research focus

Prof. Dr. Galina Malykhina’s research focus lies at the intersection of signal processing, machine learning, and mathematical modeling. Her work includes developing advanced techniques like wavelet cross-correlation for two-phase flow control systems in oil well production, and applying physics-informed neural networks (PINNs) to solve complex problems in chemical reactor modeling. She has contributed to methods that solve parameterized singular perturbation problems, leveraging physics-based neural network approaches. Her research also explores the integration of analytical modifications with numerical methods for better process modeling in various industrial applications. 📊🔬💻⚙️

Publication top notes

Wavelet Cross-Correlation Signal Processing for Two-Phase Flow Control System in Oil Well Production

Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor

Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem

conclusion

Prof. Dr. Galina Malykhina’s extensive background in engineering, impactful research contributions, role in mentoring emerging researchers, recognized publication record, and global academic engagement establish her as a highly deserving candidate for the Research for Best Researcher Award. Her work demonstrates the qualities of a leading researcher committed to both innovation and education in her field.

Theoklitos Karakatsanis | Engineering and Technology | Best Researcher Award

Posted on 20/09/202420/09/2024 by ScienceFather

Theoklitos Karakatsanis | Engineering and Technology | Best Researcher Award

Assist Prof Dr Theoklitos Karakatsanis, Democritus University of Thrace, Greece

Based on the information provided, Assist. Prof. Dr. Theoklitos Karakatsanis appears to be a strong candidate for the Best Researcher Award for several reasons:

Publication profile

google scholar

Academic Position

Currently, he serves as an Assistant Professor at the School of Engineering, Democritus University of Thrace (DUTH), focusing on Production Engineering and Management.

Professional Experience

Currently, he serves as an Assistant Professor at the School of Engineering, Democritus University of Thrace (DUTH), in the Department of Production Engineering and Management. His extensive experience includes years as a private consultant engineer and work as an Elevator Engineer since 1989.

Research Contributions

Focus Areas: His research interests in modeling and control of electric machines, energy production, and saving are highly relevant in today’s energy landscape, especially with the growing importance of renewable energy sources.

Publications: Dr. Karakatsanis has co-authored numerous publications in respected journals, with a focus on probabilistic load flow analysis and its applications in power systems. His work on integrating wind power into distribution systems is particularly noteworthy, as it addresses critical challenges in renewable energy management.

Research Interests

His research interests are centered around modeling and control of electric machines, production energy, and energy saving.

Impact and Collaborations

Collaborative Work: He has collaborated with recognized researchers, which strengthens the credibility and reach of his work. His participation in various conferences and publications demonstrates an active engagement in his field.

Practical Application: His extensive experience as a consultant engineer enhances the practical applicability of his research, bridging the gap between theory and real-world implementation.

Professional Affiliations

Membership: Being a member of IEEE and the Technical Chamber of Greece highlights his professional standing and commitment to ongoing professional development.

Conclusion

Given his strong academic credentials, impactful research contributions, and active involvement in the engineering community, Assist. Prof. Dr. Theoklitos Karakatsanis is a suitable candidate for the Best Researcher Award. His work not only contributes to academic knowledge but also offers practical solutions in energy management and sustainability.

Publication top notes

Probabilistic load flow in distribution systems containing dispersed wind power generation

Probabilistic constrained load flow based on sensitivity analysis

Voltage control settings to increase wind power based on probabilistic load flow

Probabilistic load flow for assessment of voltage instability

Distribution system voltage and reactive power control based on probabilistic load flow analysis

The effect of wind parks on the operation of voltage control devices

Probabilistic calculations of aggregate storage heating loads

Probabilistic constrained load flow for optimizing generator reactive power resources

A probabilistic approach to control variable adjustment for power system planning applications

Probabilistic cost allocation of losses in networks with dispersed renewable generation

JianCheng Gu | Engineering and Technology | Best Researcher Award

Posted on 02/08/202402/08/2024 by ScienceFather

JianCheng Gu | Engineering and Technology | Best Researcher Award

Assist Prof Dr JianCheng Gu, Nanjing Tech University, China

Based on Dr. JianCheng Gu’s biography and research contributions, he appears to be a strong candidate for the Best Research Award.

Publication profile

google scholar

Innovative Research

Dr. Gu has developed a novel approach for rapid building damage assessment post-disasters using machine learning and remote sensing. This innovative method addresses a critical need in disaster response and reconstruction, highlighting his ability to push the boundaries of current research.

High-Impact Publications

His work has been published in reputable journals like Composite Structures, Journal of Constructional Steel Research, and Buildings. His research on infrared thermography and shear connectors demonstrates his expertise in structural assessment and repair technologies.

Research Contributions

Dr. Gu’s research on delamination detection, shear resistance, and rapid damage identification has significant practical applications. His studies contribute to improving construction materials and methods, which are crucial for advancing building safety and resilience.

Acknowledged Support

The research is supported by the Japan Society for the Promotion of Science (JSPS), indicating recognition and financial backing from a prestigious institution. This support underscores the relevance and importance of his work in the academic community.

Collaboration and Outreach

Dr. Gu’s collaboration with open-source contributors and his acknowledgment of their efforts reflect his commitment to the broader research community and interdisciplinary work.

Conclusion

Dr. Gu’s innovative approach, impactful publications, significant contributions to structural engineering, and collaboration with the academic community make him a strong candidate for the Best Researcher Award. His work addresses critical issues in disaster management and construction, demonstrating both practical and theoretical advancements in his field.

Publication top notes

Detectability of delamination regions using infrared thermography in concrete members strengthened by CFRP jacketing

Experimental study on the shear resistance of a comb-type perfobond rib shear connector

Image processing methodology for detecting delaminations using infrared thermography in CFRP-jacketed concrete members by infrared thermography

Study of single perfobond rib with head stud shear connectors for a composite structure

Advances in Rapid Damage Identification Methods for Post-Disaster Regional Buildings Based on Remote Sensing Images: A Survey

Calculation method for flexural capacity of composite girders with corrugated steel webs

Effects of corrosion on shear behaviour of discontinuous perfobond rib shear connectors

Experimental study on asynchronous construction for composite bridges with CSWs: Comparative study

Experimental study on flexural behavior of steel-laminated concrete (NC and UHPC) composite beams with corrugated steel webs

Abdul Rehman | Engineering and Technology | Best Researcher Award

Posted on 27/07/202427/07/2024 by ScienceFather

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 ScienceFather

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. 🧠🔄🔬📊🔧

Publication top notes

Dynamics, synchronization and analog circuit implementation of a discrete neuron-like map with pulsating spiral dynamics

Dynamics of multicavity hyperchaotic maps with rotational control operation and its applications

A class of m-dimension grid multi-cavity hyperchaotic maps and its application

Ming-Yen Wei | Engineering and Technology | Best Researcher Award

Posted on 29/06/202429/06/2024 by ScienceFather

Ming-Yen Wei | Engineering and Technology | Best Researcher Award

Assist Prof Dr Ming-Yen, Wei National Formosa University, Department of Electrical Engineering, Taiwan

Assist. Prof. Dr. Ming-Yen was born in Taichung City, Taiwan 🇹🇼 on April 20, 1983. He earned his Bachelor’s and Master’s degrees in Electrical Engineering from National Formosa University in 2005 and 2007, and his Ph.D. from National Taiwan University of Science and Technology in 2012 🎓. After a decade in industrial technical roles, he joined National Formosa University as an Assistant Professor in early 2023 👨‍🏫. His research interests include motor drive control, embedded systems, control theory applications, mechatronics, and robotics 🤖⚙️.

Publication profile

Scopus

Research focus

Dr. Ming-Yen Wei’s research primarily focuses on the design, control, and implementation of advanced motion control systems and platforms. His work encompasses the development of servo control systems, multi-axis motion chairs, and flight simulators, utilizing CAN bus and microcontroller technologies. Additionally, he has contributed to the creation of motion-cueing algorithms and inverse kinematics for six degrees of freedom (6DoF) platforms. His research has significant applications in robotics, aerospace, and virtual reality simulations, showcasing innovations in precision motion control and system integration.