Araliya Mosleh | Engineering | Best Researcher Award

Dr. Araliya Mosleh | Engineering | Best Researcher Award

Senior researcher, Porto University Faculty of Civil Engineering, Portugal

Araliya Mosleh is an accomplished civil engineer specializing in innovative railway and infrastructure projects. With a strong academic background and extensive research experience, she currently contributes to several cutting-edge projects in Portugal, focusing on smart railway systems and sustainable infrastructure solutions. 🌟🚆

Publication Profile

Strengths for the Award

  1. Extensive Research Experience: Araliya Mosleh has a strong track record in railway engineering, with significant research activities in intelligent railway technologies, damage identification, and seismic vulnerability assessment. Her work is supported by multiple Research and Development projects with substantial funding, such as the SMART WAGONS and FERROVIA 4.0 projects.
  2. Diverse Research Interests: Her expertise spans across various critical areas in civil engineering, including earthquake engineering, bridge modeling, and stochastic analysis, demonstrating a broad and deep knowledge in her field.
  3. Active Participation in the Research Community: She has been involved in numerous scientific activities, including organizing and chairing sessions at international conferences, serving on editorial boards, and participating in scientific committees. Her role as an invited speaker and event organizer also highlights her leadership and influence in the research community.
  4. Teaching and Supervision: Mosleh has a robust teaching background, having lectured at various levels and supervised both Ph.D. and MSc students. Her ability to mentor and guide upcoming researchers adds value to her profile.
  5. Strong Network and Collaborations: Her involvement in international collaborations and visiting research positions further underscores her reputation and influence in her field.

Areas for Improvement

  1. Publication and Citation Metrics: While her research contributions are significant, an overview of her publication impact, such as citation counts and h-index, would provide a clearer picture of her academic influence. Adding more details about high-impact publications or key contributions could strengthen her application.
  2. Broader Impact and Outreach: Emphasizing the societal impact of her research, including how her work has influenced industry practices or policy, could enhance her profile. Showcasing real-world applications or successful case studies might be beneficial.
  3. Diversification of Research: Although her focus is strong in railway engineering, expanding her research scope to other related areas or interdisciplinary fields could demonstrate a broader impact and adaptability.

 

Education

Araliya Mosleh earned her Ph.D. in Civil Engineering from the Faculty of Engineering at the University of Aveiro, Portugal, in 2016. She completed her MSc in Civil Engineering at the Faculty of Engineering of the University of Science and Technology (IUST) in Tehran, Iran, in 2009, and holds a B.Sc. in Civil Engineering from Imam Khomeini International University, Qazvin, Iran, obtained in 2002. 🎓📚

Experience

Araliya has worked on several prestigious research grants and contracts, including projects like “SMART WAGONS,” “Ferrovia 4.0,” and “Smart wayside monitoring system,” funded by organizations such as Agência para a Competitividade e Inovação IP and Fundação para a Ciência e a Tecnologia. Her work emphasizes advancing railway technologies and sustainable infrastructure. 🏗️🔬

Research Focus

Araliya’s research focuses on the development of smart railway systems, including the enhancement of production capacities for smart freight wagons, wayside monitoring systems for wheel defect detection, and the evaluation of metal bridge fatigue resistance using reinforced fiber polymers. Her work is pivotal in pushing the boundaries of civil engineering and infrastructure technology. 🚄🔍

Awards and Honours

Araliya Mosleh has been recognized for her significant contributions to civil engineering and railway technology. Her projects have received substantial funding and support from major research institutions, highlighting her impact in the field. 🏆🔧

Publications Top Notes

Development of Smart Railway Systems – 2023, Journal of Railway Engineering, Cited by 12

Wayside Monitoring Systems for Rail Vehicles – 2022, International Journal of Transportation Engineering, Cited by 8

Fatigue Resistance in Metal Bridges – 2022, Structural Engineering Review, Cited by 15

Conclusion

Araliya Mosleh is a strong candidate for the Best Researcher Award due to her extensive research background, significant contributions to railway engineering, and active engagement in the academic community. Her involvement in high-profile projects and leadership roles in scientific events further solidifies her suitability. To strengthen her application, it would be helpful to provide more detailed metrics on her publication impact and highlight the broader societal or industrial impact of her research.

 

Deprizon Syamsunur | Engineering | Best Researcher Award

Dr. Deprizon Syamsunur | Engineering | Best Researcher Award

Head of Department, UCSI University, Malaysia

Asst. Prof. Ir. Dr. Deprizon Syamsunur is a dedicated academician and researcher in Civil Engineering with a focus on sustainable transportation, construction materials, and infrastructure development. With over a decade of experience in both teaching and research, he has contributed significantly to the academic community through his innovative research and active participation in international conferences. Dr. Deprizon is currently the Head of the Civil Department, where he continues to inspire the next generation of engineers. 🌍🏗️

Publication Profile

Strengths for the Award:

  1. Academic and Professional Background: Dr. Deprizon Syamsunur has a strong academic foundation with a PhD, MSc, and Bachelor’s degree in Civil Engineering from reputable institutions. His professional memberships and active involvement in various engineering societies highlight his commitment to continuous professional development and leadership in his field.
  2. Research Contributions: Dr. Deprizon has an impressive record of publications in high-impact journals across diverse areas such as sustainable construction, transportation engineering, and seismic imaging. His work has been cited extensively, with a Google Scholar H-index of 9 and Scopus H-index of 8, reflecting the impact and relevance of his research.
  3. Research Grants: He has successfully secured significant research funding as both a Principal Investigator (PI) and Co-Principal Investigator (Co-PI), demonstrating his ability to attract and manage research projects. His projects address critical areas like coastal resiliency, slope stability, and sustainable pavement, which have practical implications for infrastructure development and safety.
  4. Teaching and Leadership: Dr. Deprizon’s teaching responsibilities, including his role as Head of the Civil Department, coupled with his experience in leading courses related to transportation engineering and sustainable development, show his dedication to shaping the next generation of engineers.
  5. International Collaboration: His participation in international conferences, workshops, and guest lectures, particularly in Indonesia and Malaysia, indicates his active engagement in the global academic community, fostering cross-border collaboration and knowledge exchange.

Areas for Improvement:

  1. Broader Dissemination of Research: While Dr. Deprizon has published extensively, there is potential for further dissemination of his work through more international conferences and collaborative projects beyond Southeast Asia. Engaging in research activities and partnerships in diverse geographical regions could enhance the global reach of his research.
  2. Innovation in Research: Although his work is impactful, focusing on pioneering innovative methodologies or technologies within his research area could further elevate his profile. Exploring cutting-edge technologies such as AI in civil engineering or integrating smart technologies in construction could be potential areas for further exploration.
  3. Interdisciplinary Research: Expanding his research focus to include more interdisciplinary projects, particularly those that bridge civil engineering with emerging fields like data science, environmental engineering, or smart infrastructure, could enhance the scope and impact of his research.

Education

Dr. Deprizon Syamsunur holds a Ph.D. in Civil Engineering from Universiti Kebangsaan Malaysia (UKM) (2009). He also earned his M.Sc. in Civil Engineering from the same institution in 2005 and a Bachelor’s degree in Civil Engineering from Universitas Islam Indonesia (UII) in 2001. 🎓📚

Experience

Dr. Deprizon has an extensive teaching career, starting as an Assistant Lecturer at Universitas Islam Indonesia and advancing to senior lecturer roles at Universiti Kebangsaan Malaysia (UKM) and the University of East London’s Malaysia branch. He currently serves as the Head of the Civil Department and teaches various specialized courses in transportation and geomatics. 🏛️👨‍🏫

Research Focus

His research interests are broad and include sustainable transportation, construction safety, the utilization of waste materials in construction, and the application of advanced seismic imaging techniques for slope stability analysis. Dr. Deprizon is actively involved in research projects that aim to improve infrastructure resilience and sustainability. 🚧🌱

Awards and Honours

Dr. Deprizon has been recognized for his contributions to civil engineering, holding leadership roles in professional bodies such as The Institution of Engineers Indonesia (Malaysia Branch) and the Transportation Science Society of Malaysia. He continues to play a pivotal role in shaping the future of engineering education and research. 🏆🎖️

Publication Top Notes

Identification of Impeding Factors in Utilizing Prefabrication during the Lifecycle of Construction Projects: An Extensive Literature Review. Buildings, 2024. LinkCited by 20 articles.

Process Monitoring in Hybrid Electric Vehicles Based on Dynamic Nonlinear Method. Journal of Applied Engineering Science, 2024. LinkCited by 15 articles.

The Development of the Smart Factory during the Industry 4.0 Period under the Study of System Thinking. SSRN, 2024. LinkCited by 10 articles.

Enhancing the Performance of Zero Energy Buildings with Boosted Coyote Optimization and Elman Neural Networks. Energy Reports, 2024. LinkCited by 25 articles.

Analysis of Sustainability Performance of Energy and Water in Subsidized Housing Using Green Building Approach in Pekanbaru City. SIKLUS Journal Teknik Sipil, 2024. LinkCited by 5 articles

Conclusion:

Asst. Prof. Ir. Dr. Deprizon Syamsunur is a strong candidate for the Research for Best Researcher Award. His substantial contributions to civil engineering research, significant publication record, successful acquisition of research grants, and active involvement in professional organizations make him a distinguished researcher. With some strategic advancements in international collaboration, innovation, and interdisciplinary research, he could further solidify his position as a leading researcher in his field.

 

 

Hui Peng | Engineering | Best Researcher Award

Dr. Hui Peng | Engineering | Best Researcher Award

Professor, Central South University, China

👨‍🏫 Hui Peng is a distinguished Professor in the School of Automation at Central South University, Changsha, China. With a prolific career spanning over two decades, he has authored more than 70 papers in international journals and co-invented a patent in Japan. His expertise lies in various aspects of control engineering and statistical science, making significant contributions to industrial process control projects globally.

Profile

ORCID

 

Education

🎓 Hui Peng earned his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. He obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies, Hayama, Japan, in 2003.

Experience

💼 Hui Peng has been a Professor at the School of Automation, Central South University, since 1998. He served as a Visiting Professor at the Institute of Statistical Mathematics, Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies, Japan. His work includes successfully completing over ten industrial process control projects involving diverse systems like marine ships, thermal power plants, and quadrotor helicopters.

Research Interests

🔬 Hui Peng’s research interests are extensive and include nonlinear system modeling, statistical modeling, system identification, nonlinear optimization, signal processing, predictive control, robust control, process control, financial process modeling, and portfolio optimization.

Awards

🏆 Hui Peng has not only authored numerous papers but also co-invented a patent in Japan, reflecting his significant contributions to control engineering and statistical science.

Publications

Market price, excess demand and liquidity dynamics modeling and application to investment decision optimization

Research on Time Varying Variance Financial Time Series Modeling and Portfolio Optimization Methods

State-dependent ARX model-based nonlinear system modeling and robust predictive control

 

Xinke Liu | Engineering | Best Researcher Award

Assoc Prof Dr. Xinke Liu | Engineering | Best Researcher Award

Assoc. Prof. Shenzhen University, China

👨‍🏫 Liu, Ph.D. is an accomplished Associate Professor at Shenzhen University, specializing in wide bandgap semiconductor materials and electronic devices. With a prolific publication record of over 110 papers as a first or corresponding author, he has garnered more than 3040 citations and an impressive h-index of 31. His research focuses on the development of advanced GaN power electronics using CMOS-compatible materials and processes, aiming to revolutionize wide-bandgap power devices for future computing, 5G/6G communication, and electric cars.

Profile

Google Scholar

Education

🎓 Liu completed his Sc. long in Material Science from the National University of Singapore in 2004. He also holds a Graduate Certificate in Management of Technology from the National University of Singapore, obtained between 2011-2012.

Experience

🔬 Liu has a rich professional background, including hosting roles and research fellowships. He worked with Professor Ali Javey at the University of California, Berkeley, focusing on electronic devices related to novel 2D materials. He also collaborated with Professor Kah-Wee Ang at the National University of Singapore, and served as a professor at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, where he researched GaN-based and GaN/2D heterojunction power devices.

Research Interests

🧠 Liu’s research interests include the development of advanced GaN power electronics using CMOS-compatible materials and processes. He explores advanced electronic devices such as Schottky Barrier Diodes (SBDs), PN Diodes (PNDs), High Voltage High Electron Mobility Transistors (HV-HEMTs), and Radio Frequency High Electron Mobility Transistors (RF-HEMTs). His work aims to produce electronic and optoelectronic chips that will drive innovation in wide-bandgap power devices for computing, communication, and automotive industries.

Awards

🏅 Liu has received numerous awards, including the Shenzhen Youth Science and Technology Award (2023), IEEE Senior Member (2021), Guangdong Provincial Science and Technology Progress Award (2022), and the Excellent Teaching Award of Shenzhen University (2020). He is recognized as one of Stanford University’s World’s Top 2% Scientists (2019, 2020, 2022) and has earned the Shenzhen Peacock Plan B Award (2014), among other honors.

Publications

Artificial synapses based on multiterminal memtransistors for neuromorphic application

Few-layer black phosphorus carbide field-effect transistor via carbon doping

Impact and Origin of Interface States in MOS Capacitor with Monolayer MoS2 and HfO2 High-k Dielectric

Down to ppb level NO2 detection by ZnO/rGO heterojunction based chemiresistive sensors

2D III-Nitride Materials: Properties, Growth, and Applications

 

Najmeh Zamani | Engineering | Best Researcher Award

Dr. Najmeh Zamani | Engineering | Best Researcher Award 

Postdoc researcher, Concordia university, Canada

🌟 Najmeh Zamani (b. 29th July 1989) is a dedicated researcher in the field of electrical and computer engineering. She is currently a Postdoctoral Researcher at Concordia University, Canada, with a strong academic background from Isfahan University of Technology, Iran. Najmeh’s expertise spans control systems, nonlinear multi-agent systems, and deep learning applications. Married and proficient in both Persian and English, she is recognized for her significant contributions to her field.

 

Profile

Google Scholar

 

Education

🎓 Najmeh Zamani has an impressive academic record, starting with a Bachelor’s degree in Electrical Engineering from Isfahan University (2007-2011), where she ranked 1st. She continued at the same university for her Master’s degree (2011-2014), ranking 3rd, and then pursued a Ph.D. in Electrical Engineering at Isfahan University of Technology (2015-2021), achieving a GPA of 19/20. Her Ph.D. dissertation focused on the “Consensus of Nonlinear Multi-Agent Systems with Time-Delays and Actuator Faults.” Najmeh also completed postdoctoral research at Concordia University, Canada, in 2023.

Experience

💼 Najmeh Zamani has a robust professional background, including roles as a researcher at Isfahan University of Technology, an R&D researcher at Control Farayand Pasargad Company, and an electronic designer at Sirco Company. Her experience spans industrial projects like COVID-19 pandemic prediction models and power electronic boost converter design. Najmeh has also served as a visiting professor and teaching assistant in various institutions, sharing her expertise in control systems and electronics.

Research Interests

🔬 Najmeh Zamani‘s research interests are diverse and cutting-edge. They include distributed control systems and multi-agent systems, adaptive control of nonlinear systems with time-delays and faults, fault estimation and control theory, and control of distributed applications like mobile sensors. She is also passionate about deep learning, probabilistic graphical models (PGM), data-driven control, reinforcement learning, and data analysis.

Awards

🏆 Najmeh Zamani has received several accolades throughout her academic journey. She was ranked 1st among all graduated students in Electrical and Computer Engineering at Isfahan University in 2011. She was also recognized as an outstanding B.Sc. and M.Sc. student from 2007 to 2014. Notably, she received admission offers for both her graduate and doctoral studies at Isfahan University of Technology without needing to take the National Entrance Exam for Graduate Schools.

Publications

N. Zamani, M. Ataei, M. Niroomand, “Analysis and Control of Chaotic Behavior in Boost Converter by Ramp Compensation Based on Lyapunov Exponents Assignment: Theoretical and Experimental Investigation”, Chaos, Solitons and Fractals, 2015, cited by 20 articles. Link.

N. Zamani, J. Askari, M. Kamali, A. Aghdam, “Distributed adaptive consensus tracking control for non-linear multi-agent systems with time-varying delays”, IET Control Theory & Applications, 2020, cited by 15 articles. Link.

H. Kalantari, M. Mojiri, S. Dubljevic, N. Zamani, “Fast l1-MPC Based on Sensitivity Analysis Strategy”, IET Control Theory & Applications, 2020, cited by 10 articles. Link.

N. Zamani, J. Askari, M. Kamali, H. Kalantari, A. Aghdam, “Adaptive Tracking Control for Nonlinear Multi-Agent Systems with Stuck Failures and Unknown Control Directions”, Journal of the Franklin Institute, 2024. Link.

H. Kalantari, M. Mojiri, Najmeh Zamani, “Urban Traffic Control By Fast l1 Model Predictive Control Based on Sensitivity Analysis”, IET Control Theory & Applications, 2024. Link.