Getahun Mekuria | Engineering | Research Excellence Award

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Mr. Getahun Mekuria | Engineering | Research Excellence Award

Lecturer | Debre Berhan University | Ethiopia

Mr. Getahun Mekuria is an industrial engineering researcher and lecturer with expertise spanning operations research and optimization, manufacturing systems and automation including additive manufacturing, human factors and ergonomics, supply chain and logistics, quality control, continuous improvement, and sustainability. His research approach integrates empirical investigations, digital twin simulations, lean manufacturing, and hybrid technologies such as IoT, big data, and blockchain to optimize productivity, quality, and environmental performance in manufacturing and industrial systems. He has contributed book chapters and numerous peer-reviewed journal articles, exploring topics from service quality and maintenance practices to air pollution assessment and wastewater treatment. Actively engaged in editorial and peer-review roles, he also mentors students in computational methods, system modeling, and industrial design. His work emphasizes practical and sustainable solutions, fostering innovation, operational excellence, and integration of human and technological factors in industrial and manufacturing environments.

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Mo Jamshidi | Engineering | Best Researcher Award

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Prof. Dr. Mo Jamshidi | Engineering | Best Researcher Award

The University of Texas at San Antonio | United States

Prof. Dr. Mo Jamshidi is a globally recognized authority in systems engineering, intelligent systems, and system-of-systems engineering, with seminal contributions spanning soft computing, fuzzy logic, neural networks, robotics, and large-scale complex systems. His research integrates control theory, artificial intelligence, and computational intelligence to address challenges in autonomous systems, energy systems, cloud and cyber-physical infrastructures, and bioinformatics, including influential work on genome-scale metabolic networks. He has played a foundational role in defining and advancing system-of-systems as a discipline, shaping both theoretical frameworks and practical applications. His professional experience reflects sustained leadership in interdisciplinary research, authorship of landmark books, and mentorship that has influenced generations of researchers worldwide.

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Gabriella Maselli | Civil Engineering | Research Excellence Award

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Dr. Gabriella Maselli | Civil Engineering | Research Excellence Award

Research Fellow | University of Sannio | Italy

Dr. Gabriella Maselli is a researcher in project appraisal and economic evaluation with expertise in cost–benefit analysis, investment risk assessment, and sustainability-based decision models across civil, environmental, and territorial systems. Her work integrates economic modelling, real estate market analysis, and multi-criteria assessment to evaluate long-term environmental, social, and financial impacts of projects. She has contributed to national and international research initiatives on circular economy, infrastructure development, and climate-related risk prevention. Her professional experience includes academic teaching, scientific collaboration on large-scale redevelopment programmes, and the development of innovative analytical frameworks for economic feasibility and property valuation.

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Jinming Liang | Engineering | Best Researcher Award

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Mr. Jinming Liang | Engineering | Best Researcher Award

Nanjing University of Aeronautics and Astronautics | China

Mr. Jinming Liang is a dynamic early-career researcher whose work spans electrical impedance tomography, liquid–liquid phase separation, electrochemical impedance spectroscopy, and deep learning for biomedical sensing. His research focuses on developing innovative microscale and portable impedance-based diagnostic systems that enable real-time, high-resolution analysis of cellular behaviors and fluid phase transitions. He has contributed to the advancement of impedance technologies by designing systems capable of accurately monitoring biophysical processes, integrating microfabricated sensors with computational models, and exploring data-driven approaches for improved interpretation of complex impedance signals. His publications include studies on real-time phase separation analysis using electrochemical impedance methods and microscale impedance tomography techniques for detecting cell phase separation, highlighting his ability to translate engineering principles into practical tools for life-science applications. His broader scientific contributions also include work on summarizing progress in phase-separation detection methods as well as participation in patentable innovations related to microscale cell detection and imaging solutions. Through his interdisciplinary expertise, he aims to push the frontier of biomedical instrumentation by creating more compact, intelligent, and accessible sensing platforms that support early diagnosis, mechanistic studies, and precision medicine.

Profile: Orcid

Featured Publications

Liang, J., Zhao, W., Liu, K., Sun, B., Zhu, C., & Yao, J. (2025). Real-time analysis of liquid–liquid phase separation with electrochemical impedance spectroscopy. Microchemical Journal, 116076.

Liang, J., Gao, B., Liu, K., Chai, X., Ji, J., Sun, B., & Yao, J. (2025). Microscale electrical impedance tomography method for cell phase separation detection. IEEE Nanotechnology Magazine.

Pan Guo | Engineering | Best Researcher Award

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Dr. Pan Guo | Engineering | Best Researcher Award

Associate Professor Zhengzhou University China

Guo Pan (born August 1985) is a senior engineer specializing in structural wind resistance, structural monitoring (inspection) and prevention, and bridge and culvert design. He is currently a representative professor at Zhengzhou University Yellow River Laboratory. With extensive experience in both academia and industry, he has contributed significantly to civil engineering research and infrastructure development.

Profile

Research Gate

Education 🎓

  • Ph.D. in Civil Engineering, Zhengzhou University (2014-2019) – Supervised by Professors Wang Dongwei and Li Shengli.
  • Master’s in Civil Engineering and Transportation, South China University of Technology (2007-2010) – Supervised by Professor Huang Peiyan.
  • Bachelor’s in Civil Engineering, Zhengzhou University (2003-2007).

Experience 💼

  • 2022/12 – Present: Representative Professor, Zhengzhou University Yellow River Laboratory.
  • 2019/11 – 2022/11: Postdoctoral Fellow, School of Water Conservancy and Civil Engineering, Zhengzhou University.
  • 2010/07 – 2019/10: Designer, Henan Transportation Planning and Design Institute Co., Ltd.

Research Interests 🔬

  • Structural wind resistance.
  • Structural monitoring, inspection, and prevention.
  • Bridge and culvert design.
  • Ice formation mechanisms on suspension bridges.
  • Aerodynamic interference effects on bridge structures.

Awards & Honors 🏆

  • 2021 Henan Province Science and Technology Progress Award (Second Prize) – Ranked 2nd for research on galloping vibration control and ice-coated sling pneumatic energy capture power generation in suspension bridge construction.

Publications Top Notes: 📚

Characteristic analysis of acoustic emission monitoring parameters for crack propagation in UHPC-NC composite beam under bending test– Construction and Building Materials, 2021.

Effects of aerodynamic interference on the iced straddling hangers of suspension bridges by wind tunnel tests – Journal of Wind Engineering and Industrial Aerodynamics, 2019.

Effect of end plates on transiting test for measuring the aerodynamic coefficient of structures using wind generated by a moving vehicle – Journal of Wind Engineering and Industrial Aerodynamics, 2019.

Fatigue Characteristics of Prestressed Concrete Beam under Freezing and Thawing Cycles– Advances in Civil Engineering, 2020.

Analysis of wind attack angle increments in wind tunnel tests for the aerodynamic coefficients of iced hangers – Advances in Structural Engineering, 2020.

Ductility and cracking behavior of UHPC-RC composite beam under bending test based on acoustic emission parameters

Energy harvesting from low-frequency vibrations of hanger using PVDF: An experimental study and performance analysis

Damage Identification of Hinge Joint in Hollow Slab Bridge Based on Model Updating and Orthogonal Matching Pursuit Algorithm

A FBG pull-wire vertical displacement sensor for health monitoring of medium-small span bridges

Damage evaluation of UHPC-GFRP hybrid beams based on acoustic emission technology under bending experiment

yang minmin | Engineering | Best Paper Award

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Ms. yang minmin | Engineering | Best Paper Award

master Northwestern Polytechnical University China

Minmin Yang is an accomplished graduate student and researcher specializing in architectural design and environmental sustainability. With a keen interest in innovative design approaches and green architecture, she has made significant contributions to thermal environment studies, sustainable building practices, and renewable energy utilization.

Profile

Orcid

Education 🎓

  • Northwestern Polytechnical University (2021–2024)
    Master of Engineering in Architectural Design and Theory

    • Weighted Average Score: 87.68/100 | Major Score: 87.18/100
  • Shanxi University (2017–2021)
    Bachelor of Arts in Environmental Design (Landscape)

    • Weighted Average Score: 87.72/100 | Major Score: 88.77/100

Experience 💼

  • Honing Studio (Assistant Designer)
    Led waterscape landscape designs for the Yantai Yadong Seven Cultural and Creative Park, earning a selection for the French GPDP International Design Award.
  • L&A Design (Team Leader)
    Utilized tools like Rhino and Grasshopper for sunlight and wind analysis, developed heat-collecting display windows, and calculated carbon reduction through photovoltaic energy.

Research Interests 🔍

  • Green Roof Thermal Studies 🌱
  • Sunlight Evaluation in Western Plateau Residential Areas ☀️
  • Thermal Comfort in Cold-Climate Campuses ❄️
  • Integration of Photovoltaic Systems in University Buildings ⚡

Awards 🏆

  • Silver Award at the 2023 9th China International “Internet+” Innovation Competition
  • Golden Award at the 2022 8th China International “Internet+” Innovation Competition
  • Bronze Prize in the 12th Challenge Cup China College Student Entrepreneurship Competition (2020)
  • Gold Prize in the Shanxi Province ‘Xingjin Challenge Cup’ College Competition (2020)

Publications Top Notes: 📚

“An Empirical Study of the Effects of Green Roofs on the Thermal Environment”
2023 The 3rd International Civil Engineering and Architecture Conference (CEAC2023)

Authors: Minmin Yang, Yu Liu, Yiming Zhang, Yufei Zou, Jie Song, Ni Zhang

Cited by: 10 articles

“Design Model of Sunroom in Rural Houses for Carbon Emission Reduction”
2023 CEAC2023

Authors: Yiming Zhang, Yu Liu, Minmin Yang, et al.

Cited by: 8 articles

“Influence of Insolation on Winter Campus Comfort”
2023 CEAC2023

Authors: Jie Song, Yu Liu, Minmin Yang, et al.

Cited by: 5 articles

“Evaluation of PV Utilization Potential in University Roofs”
2023 CEAC2023

Authors: Yufei Zou, Yu Liu, Minmin Yang, et al.

Cited by: 7 articles

“Design Significance of Xiangshan Hotel Sketches”
Urban Architecture Journal (2019)

Author: Minmin Yang

Cited by: 15 articles

Jingyang Mao | Engineering | Best Researcher Award

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Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

🧑‍🏫 Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019–2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

Profile

Orcid

Education

🎓 Ph.D. in Control Science and Engineering (2022)

  • University of Shanghai for Science and Technology, Shanghai, China

✈️ Visiting Scholar (2019–2021)

  • Department of Electrical and Computer Engineering, Louisiana State University, USA

Experience

👨‍💻 Lecturer (2022–Present)

  • School of Electrical and Electronic Engineering, Shanghai Institute of Technology
  • Focus: Cyber-physical systems, networked control, and adaptive filtering

Research Interests

🔍 Dr. Mao’s research interests lie in the fields of:

  • Cyber-physical systems 🌐
  • Multi-rate systems ⏱️
  • Joint recursive filtering 🔄
  • Unknown input estimation ❓
  • Adaptive event-triggered mechanisms ⚙️

Awards

🏆 Award Nomination: Best Researcher Award
Recognized for groundbreaking contributions to the theory and application of cyber-physical systems.

Publications Top Notes:

📄 “Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms”

Event‐based reduced‐order H∞$H_{\infty }$ estimation for switched complex networks based on T‐S fuzzy model

Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms

Event-Based Distributed Adaptive Kalman Filtering With Unknown Covariance of Process Noises

Geleta Fikadu | Engineering | Best Researcher Award

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Assist. Prof. Dr. Geleta Fikadu | Engineering | Best Researcher Award

Ph.D adama science and Technology university Ethiopia

🎓 Dr. Geleta Fekadu Daba, an accomplished expert in Thermal Engineering, earned his Ph.D. from the prestigious Indian Institute of Technology Roorkee (IITR) in 2020. His career spans academia, research, and engineering innovation, focusing on renewable energy systems and automotive engineering. Currently an Assistant Professor at Wollega University, Ethiopia, Dr. Daba actively contributes to energy-efficient technologies, especially solar-assisted liquid desiccant air conditioning systems.

Profile

Google Scholar

Education

🎓 Ph.D. in Thermal Engineering – Indian Institute of Technology Roorkee, India (2020)
🎓 M.Sc. in Automotive Engineering – Adama Science and Technology University, Ethiopia (2013)
🎓 B.Sc. in Automotive Technology – Adama Science and Technology University, Ethiopia (2005)

Professional Experience

🛠 Assistant Professor, Department of Mechanical Engineering, Wollega University, Ethiopia (2015–Present)

  • Delivered courses on thermodynamics, fluid mechanics, and renewable energy systems.
  • Supervised graduate students and coordinated departmental research projects.
  • Led innovative studies on solar energy applications and energy optimization.

Research Interests

🔬 Dr. Daba’s research encompasses renewable energy, automobile engineering, thermodynamics, heat and mass transfer, nano-fluids for heat transfer, and solar energy systems. His work emphasizes practical solutions for sustainable development and energy efficiency.

Awards and Recognition

🏆 Received 33 lac INR funding for his Ph.D. project on solar-assisted liquid desiccant air conditioning from the Department of Science and Technology, India.

Publications

📚 Dr. Daba has published extensively in reputed journals and conferences. Below are selected works with links:

Renewable energy for liquid desiccants air conditioning system: A review

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3–Water Nanofluid and Water

Comparative performance evaluation of gasoline and its blends with ethanol in gasoline engine

Liquid desiccant air conditioning using single Storage solution tank, evaporative cooling, and marquise-shaped solar collector

Study of Performance of Solar Flat Plate Collector Using Al2O3/Water Nanofluids

Experimental Study of Internally− Cooled Dehumidification of Liquid Desiccant for a Single Storage Tank

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3–Water Nanofluid and Water

Performance analysis of a compact liquid desiccant cooling system

Weijun Wang | Engineering | Best Researcher Award

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Dr. Weijun Wang | Engineering | Best Researcher Award

Student Changchun University of Technology China

🌟 Weijun Wang (王威珺) is a researcher in the field of Statistics, currently pursuing a Ph.D. at Changchun University of Technology, China. With expertise spanning fault diagnosis, data-driven designs, and dynamic systems, Weijun Wang has made significant contributions to high-speed train traction systems and other advanced engineering applications.

Profile

Scopus

Education

🎓 Weijun Wang’s academic journey includes:

  • Ph.D. in Statistics (2021–Present): Changchun University of Technology.
  • Master’s in Information and Communication Engineering (2018–2021): Changchun University of Technology.
  • Bachelor’s in Electronic Information Engineering (2014–2018): Changchun University of Technology.

Experience

👩‍🔬 Weijun Wang has extensive experience in developing innovative fault detection methods, dynamic system models, and data-driven algorithms. Collaborating on multidisciplinary projects, she has co-authored several impactful journal and conference papers.

Research Interests

🔬 Weijun Wang’s research focuses on:

  • Fault detection and diagnosis.
  • Data-driven modeling for high-speed train traction systems.
  • Dynamic systems, robust designs, and performance prediction.

Awards

🏆 First Prize: National Finals at RAICOM, 2024.
🏅 Innovation Award: 3rd China Urban Rail Transit Science and Technology Innovation Competition, 2022.

Publications

A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry

Dynamic Fault Detection Method of Traction Systems in High-Speed Trains Based on Joint Observer

Data-Driven Robust Designs of Performance Prediction and Its Application in High-speed Trains

Enhanced Fault Diagnosis Using Broad Learning for Traction Systems in High-Speed Trains

State Estimation with Partial Random Walk

State-degradation-oriented fault diagnosis for high-speed train running gears system

Fault prediction of high-speed train running gears based on hidden markov model and analytic hierarchy process

Multi-sensor system filtering and fault detection under unbiased constraint and colored measurement noise

Brahim El Boudani | Engineering | Best Researcher Award

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Dr. Brahim El Boudani | Engineering | Best Researcher Award

Lecturer London South Bank University United Kingdom

🎓 Dr. Brahim El Boudani is a passionate researcher and educator specializing in deep learning, virtual reality, and 5G technologies. With a robust technical background in programming and data analysis, he has dedicated his career to academic excellence and innovative research. Currently, a sessional lecturer at London South Bank University, Dr. El Boudani combines teaching with impactful research in fields such as augmented reality and artificial intelligence.

Profile

Google Scholar

Education

📚 Dr. Brahim El Boudani earned his Bachelor of Arts in Modern Letters from Hassan II University, Morocco, and later pursued advanced studies at London South Bank University. He holds a Bachelor of Science in Business Intelligence (First Class Honours) and is completing a Ph.D. on deep learning applications in 5G localization, expected by Summer 2023. His academic journey reflects a commitment to interdisciplinary excellence.

Experience

💼 Dr. El Boudani has diverse professional experience, including roles as Workshop Supervisor at Camara Education LTD and Business Intelligence Analyst at London South Bank University. Since 2017, he has been a sessional lecturer, excelling in teaching deep learning, mobile computing, and software development while mentoring students and leading innovative extracurricular projects.

Research Interests

🔬 Dr. El Boudani’s research focuses on integrating deep learning with 5G IoT networks, indoor 3D positioning, and VR applications. His interests also include data warehousing, big databases, and the interplay of AI in mobile computing, highlighting his drive to innovate and address real-world challenges.

Awards and Achievements

🏆 Dr. El Boudani’s exemplary academic performance, including achieving First Class Honours in Business Intelligence, has earned him accolades. His impactful research, particularly on deep learning architectures for 5G networks, has positioned him as a thought leader in his domain.

Publications Top Notes: 

📄 Dr. El Boudani has contributed significantly to peer-reviewed journals and conferences. His publications include:

Implementing deep learning techniques in 5G IoT networks for 3D indoor positioning (Sensors, 2020) – Cited by 50 articles.

Positioning as Service for 5G IoT Networks (ConfTELE, IEEE, 2021) – Cited by 20 articles.

SO-KDN: A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing (International Conference on Information Science, 2021) – Cited by 25 articles.