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.

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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.

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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.

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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.

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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.

 

RISHITEJ CHAPARALA | Engineering | Best Researcher Award

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Mr. RISHITEJ CHAPARALA | Engineering | Best Researcher Award

Assistant professor Pragati engineering college India

👨‍🎓 Rishitej Chaparala is an Assistant Professor and Ph.D. candidate in Electronics and Communication Engineering (ECE) at SRM University AP. With 6.5 years of teaching experience, he has been an integral part of institutions like TKR College of Engineering, BVC Engineering College, and Kallam Harnadhreddy Institute of Tech & Engineering. Rishitej’s primary research interest lies in plasmonic waveguide and antenna design, spanning the RF to THz spectrum. He is an active member of OPTICA, IEEE, and IETE and has filed multiple patents in the field of sensor systems.

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Google scholar

Education 🎓

Rishitej holds a Ph.D. (Full-time) in ECE from SRM University AP, with his synopsis submitted in October 2024. He completed his M.Tech in VLSI Design from Sasi Institute of Technology and Engineering (2013-2016) and B.E. in ECE from GGR College of Engineering, Vellore, in 2011.

Experience 💼

With over 6.5 years in teaching and 3 years in research, Rishitej has held positions in institutions like TKR College of Engineering, BVC Engineering College, Dhanekula Institute of Engineering & Tech, and currently at Pragati Engineering College, Rajahmundry. He has also worked as a Quality Analyst at SERCO Pvt Ltd for a year.

Research Interests 🔬

His research focuses on Plasmonic Waveguide/Antenna Design across the RF to THz spectrum. He explores the enhancement of spoof surface plasmon polariton (SSPP) waveguides and their applications in sensor-based technologies, including glucose detection for medical diagnostics and dielectric constant measurement for material analysis.

Awards 🏆

Rishitej’s work has been recognized at national and international platforms. His research on SSPP waveguides has earned him multiple accolades in conferences and journals. Notable recognitions include contributions to IEEE Sensors Journal, Optical Engineering, and Progress in Electromagnetics Research M.

Publications Top Notes: 📚

Chaparala, R., Shaik Imamvali, & Sreenivasulu Tupakula. “Enhancement of spoof surface plasmon polariton waveguide performance through modified groove width.” Optical Engineering, 63.5 (2024): 055102-055102. DOI: 10.1117/1.OE.63.5.055102

Chaparala, R., Shaik Imamvali, & Sreenivasulu Tupakula. “Spoof surface plasmon polaritons based feeder for a dielectric rod antenna at microwave frequencies.” Progress in Electromagnetics Research M, Vol. 129, 23-32, 2024.

Chaparala, R., et al. “Optimization of Dielectric Rod Antenna Performance Using Spoof Surface Plasmon Polaritons.” Sensors MDPI (Accepted, IF: 3.4).

Imamvali, S., Chaparala, R., Tupakula, S. “Spoof surface plasmon polaritons based detection of glucose in blood phantom for medical diagnosis.” IEEE Sensors Journal (2024, IF: 4.3).

Kolli, V. R., Chaparala, R., Tupakula, S., & Talabattula, S. “A high-sensitive integrated optic serially coupled racetrack ring resonator based pressure sensor.” Optical Materials (2024, Q1, IF: 3.1).

Rodayna Hmede | Advanced Materials Engineering |

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Dr. Rodayna Hmede | Advanced Materials Engineering | Best Researcher Award

POSTDOC ENGINEER Institute for Radiation Protection and Nuclear Safety (IRSN) France

🎓 Dr. Eng. Rodayna Hmede is a French researcher, engineer, and AI specialist with over 4 years of experience in artificial intelligence (AI), mechanical engineering, and scientific applications. As the Director of Research AI at Ethikon Institut, she leads ethical AI innovations. Dr. Hmede holds a European Ph.D. in Engineering and a strong academic foundation in AI, robotics, and material science. She excels in AI model development, project management, and international collaboration, making significant contributions to th

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Education

📚 Dr. Hmede holds a European Ph.D. in Engineering with expertise in AI and material science from Université Clermont Auvergne, France (2023). She earned dual master’s degrees in Fundamental Physics and Mechanical Engineering, demonstrating interdisciplinary expertise in robotics, physics, and smart materials. Her education is further enriched by certifications in project management and cutting-edge AI methodologies.

Experience

🛠️ Dr. Hmede’s career spans academic and industrial roles. As a Director of Research AI at Ethikon Institut, she leads AI projects for ethical applications. She has worked as a postdoctoral researcher at IRSN, France, focusing on neutron spectra unfolding through advanced AI techniques. At Université Clermont Auvergne, she managed a Ph.D. project on AI-driven modeling of shape memory alloys and collaborated with international teams to design neurosurgical robots. Her teaching experience includes lecturing at Sigma Clermont, France, on structure optimization and numerical analysis.

Research Interests

🔍 Dr. Hmede’s research interests lie at the intersection of AI and engineering. She specializes in developing machine learning models for robotics, smart materials, and neutron spectra analysis. Her work includes neural network clustering, genetic algorithms, and the integration of AI in mechanical systems, showcasing her commitment to advancing scientific applications through AI.

Awards

🏆 Dr. Hmede has been recognized for her innovative research and communication skills. She won the prestigious “My Thesis in 180 Sec” competition (2023) and has received awards for her contributions at international conferences, such as NANOTECH Berlin (2023) and the Meta-Structural Functionality of the Brain Conference (2023). Her academic achievements include scholarships and awards during her Ph.D. and master’s programs.

Publications Top Notes:

📖 Dr. Hmede’s impactful research is reflected in her publications across reputable journals and conferences:

“Review of Neural Network Modeling of Shape Memory Alloys” (2023) – Sensors (Cited by 35 articles) | DOI Link

“Modeling the Butterfly Behavior of SMA Actuator using Neural Network” (2023) – Comptes Rendu Mécanique (Cited by 28 articles) | DOI Link

“A Minireview on Brain Models Simulating Properties of the Human Brain” (2022) – Frontiers in Bioengineering and Biotechnology (Cited by 40 articles) | DOI Link

 

Yusuf Alper KAPLAN | Engineering | Best Researcher Award

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Prof. Yusuf Alper KAPLAN | Engineering | Best Researcher Award

Prof. Osmaniye Korkut Ata Unv. Turkey

Dr. Yusuf Alper Kaplan is a Professor of Energy Systems Engineering at Osmaniye Korkut Ata University in Turkey. He has a distinguished career in renewable energy, specializing in solar and wind energy modeling, estimation, and system performance. With over two decades of experience, Dr. Kaplan has contributed to advancing energy systems through innovative methodologies and predictive models.

Profile

Google scholar

Education 🎓

  • Bachelor’s in Electrical and Electronics Engineering, Gaziantep University, 2002
  • Master’s in Electrical and Electronics Engineering, Çukurova University, 2008
  • Ph.D. in Electrical and Electronics Engineering, Anadolu University, 2014

Professional Experience 💼

  • Lecturer (2004-2009) at Çukurova University
  • Research Assistant (2010-2014) at Anadolu University
  • Assistant Professor (2014-2018), Associate Professor (2018-2023), and Professor (2023-present) at Osmaniye Korkut Ata University
  • Head of Department of Energy Systems Engineering (2019-2020)
  • Director of the Continuing Education Centre (2020-present)

Research Interests 🔬

Dr. Kaplan’s research focuses on renewable energy, especially solar and wind energy systems. His work involves developing statistical and computational models for solar radiation forecasting, wind energy assessment, and performance optimization of renewable energy sources in varying environmental conditions.

Awards and Recognitions 🏆

Dr. Kaplan has been honored for his contributions to renewable energy and academic excellence. His achievements include national and international recognitions for advancements in energy system performance modeling and contributions to sustainable energy solutions.

Publications Top Notes: 📚

Kaplan, Y. A. (2024). Forecasting of global solar radiation: A statistical approach using simulated annealing algorithm. Engineering Applications of Artificial Intelligence, 136, 109034. (Cited by 15)

Kaplan, A. G., & Kaplan, Y. A. (2024). Using of the Weibull distribution in developing global solar radiation forecasting models. Environmental Progress & Sustainable Energy. (Cited by 10)

Kaplan, Y. A. (2023). Development of backpropagation algorithm for estimating solar radiation: A case study in Turkey. Revue Roumaine des Sciences Techniques, 68(3), 313-316. (Cited by 8)