Yinhui Tang |Dieless hydroforming|Best Innovation Award

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Mr.Yinhui Tang |Dieless hydroforming|Best Innovation Award

Doctoral Student, Jiangsu University of Science and Technology,China

Mr. Yinhui Tang is a doctoral student at Jiangsu University of Science and Technology, China. His research interests focus on advanced mechanical engineering applications, including robotics, smart manufacturing, and materials engineering. Mr. Tang has contributed to several journal publications and conference presentations in his field, showcasing innovative solutions in automation and sustainable design practices.In addition to his academic pursuits, Mr. Tang has been actively involved in collaborative projects and industrial partnerships aimed at bridging the gap between theoretical research and practical engineering solutions. With a strong foundation in mechanical engineering, he aims to contribute to advancements in technology-driven engineering processes.

 

Professional Profiles:

Google Scholar 

🎓 Education :

Yinhui Tang is currently pursuing a PhD in Naval Architecture and Ocean Engineering at the School of Naval Architecture & Ocean Engineering, Jiangsu University of Science and Technology, China, starting in September 2024. Previously, Yinhui completed a Master’s degree in Mechanical Engineering from the same university in June 2024, building a strong foundation in engineering principles and advanced research methodologies.

 

🏢 Experience:

Yinhui has extensive experience working on cutting-edge research projects in the fields of naval architecture and mechanical engineering, with a particular focus on pressure hull mechanics and advanced material structures. Yinhui is the host of the project “Mechanism of Instability and Bulging Mechanics of Multilayer Egg-shaped Pressure Hulls in Deep Sea,” funded for ¥15,000 from April 2024 to June 2025. Additionally, Yinhui has been a participant in several high-impact research projects, including the ¥1,700,000 “Deep Sea XXX Pressure-resistant Structure” project (2023–2025) and the ¥1,500,000 project on “Mechanism of Instability and Bulging Mechanics of Multilayer Variable-thickness Pressure-resistant Egg-shaped Shells in Deep Sea” (2023–2025). Yinhui also contributed to the dieless hydroforming research on egg-shaped pressure hulls (2021–2024) and the development of micro/nano composite pressure hulls (2023–2025), demonstrating expertise in multidisciplinary collaboration and technical problem-solving.

Skills:

Yinhui possesses a diverse set of skills, including expertise in structural mechanics, pressure-resistant hull design, material behavior analysis, and hydroforming processes. Proficiency in research design, project management, and technical report writing further highlights Yinhui’s capabilities. Yinhui is skilled in using advanced engineering software for modeling and simulation and excels in conducting experimental and theoretical studies to support innovation in deep-sea technologies.

 

Research Focus :

Yinhui’s research focuses on the mechanics of instability and bulging of multilayer egg-shaped pressure hulls, a critical area in deep-sea engineering. The work emphasizes understanding the structural behavior of variable-thickness pressure-resistant shells and developing innovative solutions for manufacturing high-performance pressure hulls. Yinhui is also exploring the impact resistance properties of advanced composite materials, aiming to enhance the reliability and durability of deep-sea structures. This research has significant implications for naval architecture, ocean engineering, and the design of next-generation submersible vessels.

 

🔬Awards:

Yinhui has been recognized for exceptional academic and research performance, contributing to groundbreaking studies in deep-sea pressure-resistant structures and mechanics. The research projects Yinhui has contributed to collectively garnered a total funding of ¥3,855,000, underlining their significant impact on advancing naval and mechanical engineering research.

 Publications:

  • Title: Buckling performance of ellipsoidal pressure hulls with stepwise wall thicknesses
    Authors: Y. Tang, J. Zhang, F. Wang, X. Zhao, M. Wang
    Journal: Ocean Engineering
    Year: 2023
    Citations: 10

 

  • Title: Integrated hydrobulging of prolate ellipsoids from preforms with multiple thicknesses
    Authors: J. Zhang, Y. Tang, M. Zhan, F. Wang, X. Zhao
    Journal: The International Journal of Advanced Manufacturing Technology
    Year: 2023
    Citations: 4

 

  • Title: Internal Hydroforming of Large Stainless-Steel Eggshells from Stepped Preforms
    Authors: Y. Tang, J. Zhang, M. Zhan, H. Jiao, P. Cheng, M. Dai
    Journal: Metals
    Year: 2023
    Citations: 1

 

Conclusion:

Yinhui Tang is a highly suitable candidate for the “Research for Best Innovation Award” based on their research achievements and innovation potential. With a few improvements, such as publishing high-impact papers, obtaining patents, and showcasing broader societal or industrial impacts, their profile would be even more compelling.

Nikos Lagaros |Digital Technology|Best Researcher Award

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Prof Dr.Nikos Lagaros |Digital Technology|Best Researcher Award

Vice Rector, National Technical University of Athens,Greece

Prof. Dr. Nikos D. Lagaros is the Vice Rector at the National Technical University of Athens (NTUA), Greece. He is a distinguished professor specializing in computational mechanics, optimization, and structural engineering. With numerous publications in high-impact journals and extensive research experience, he has made significant contributions to the fields of structural optimization, resilience engineering, and sustainable design. Dr. Lagaros is actively involved in academic leadership, fostering innovation and interdisciplinary collaboration at NTUA.

 

Professional Profiles:

Scopus

🎓 Education :

Nikolaos D. Lagaros holds a Diploma in Civil Engineering from the National Technical University of Athens (NTUA), completed in 1994 with a general grade of 7.96 (Very Well). He earned his Doctorate in Computational Mechanics from NTUA in 2000, with a dissertation titled Structural Design Optimization Based on Evolutionary Algorithms and Neural Networks. From 2000 to 2007, he conducted postdoctoral research at NTUA, focusing on computational structural analysis and earthquake engineering.

 

🏢 Experience:

Professor Lagaros is currently the Vice Rector of Finance, Infrastructure, and Development at NTUA. He previously served as Dean of the School of Civil Engineering at NTUA. He has held academic positions ranging from Lecturer to Professor within the Department of Structural Engineering at NTUA since 2008. Earlier, he was an Assistant Professor at the University of Thessaly and has held visiting professorships at prestigious institutions such as MIT and McGill University. His teaching portfolio spans undergraduate and postgraduate courses in structural analysis, optimization, and computational mechanics.

Skills:

Professor Lagaros specializes in advanced computational methods for simulation-based science and engineering. His expertise includes optimization methodologies, machine learning applications in structural analysis, seismic risk assessment, topology optimization, and high-performance computing. He is also skilled in lifecycle cost analysis, stochastic finite element methods, structural health monitoring, and energy-efficient design strategies.

 

Research Focus :

His research is centered on developing innovative methodologies for optimizing structural systems and creating computational tools leveraging artificial intelligence and metaheuristics. He has made significant contributions to structural parametric design, topology optimization, and reliability analysis of large-scale systems. His work also explores shared and distributed computing technologies for solving complex engineering problems.

 

🔬Awards:

Professor Lagaros is recognized for his leadership roles and contributions to academia. He has supervised numerous doctoral, graduate, and diploma theses, advancing research in structural engineering and computational mechanics. His collaborations with international researchers and institutions have further strengthened his impact on the field.

 Publications:

  • Antoniou, P.A., Markolefas, S.I., Giannopoulos, G.I., Lagaros, N., Georgantzinos, S.K. (2025). Multiscale modeling of microstructural and hygrothermal effects on vibrations of CNT-enhanced fiber-reinforced polymer composites. Journal of Sound and Vibration, 596, 118733.

 

  • Sapountzaki, O.E., Kampitsis, A.E., Lagaros, N.D. (2024). Polymer Matrix Composites: The case of pentamodes. Composite Structures, 346, 118419.

 

  • Gonidakis, D.N., Frangedaki, E.I., Lagaros, N.D. (2024). Optimizing Daylight Performance of Digital Fabricated Adobe Walls. Architecture, 4(3), pp. 515–540.

 

  • Vougioukas, E., Stamos, A., Pappa, C., Lagaros, N.D. (2024). Enhancing Onshore Wind Tower Foundations: A Comprehensive Automated Design Approach. CivilEng, 5(3), pp. 736–759.

 

  • Ypsilantis, K.-I., Faes, M.G.R., Lagaros, N.D., Aage, N., Moens, D. (2024). Robust topology and discrete fiber orientation optimization under principal material uncertainty. Computers and Structures, 300, 107421.

 

  • Chamatidis, I., Istrati, D., Lagaros, N.D. (2024). Vision Transformer for Flood Detection Using Satellite Images from Sentinel-1 and Sentinel-2. Water (Switzerland), 16(12), 1670.

 

  • Al-Omari, A.A., Shatnawi, N.N., Shbeeb, N.I., Lagaros, N.D., Abdalla, K.M. (2024). Utilizing Remote Sensing and GIS Techniques for Flood Hazard Mapping and Risk Assessment. Civil Engineering Journal (Iran), 10(5), pp. 1423–1436.

 

  • Rossetos, I., Gantes, C.J., Kazakis, G., Soultanis, K., Lagaros, N.D. (2024). Numerical Modeling and Nonlinear Finite Element Analysis of Conventional and 3D-Printed Spinal Braces. Applied Sciences (Switzerland), 14(5), 1735.

 

  • Sapountzaki, O.E., Kampitsis, A.E., Lagaros, N.D. (2024). Failure mechanisms of anisotropic pentamode-based bridge bearings: A dynamic analysis. Engineering Structures, 301, 117292.

 

  • Damikoukas, S., Lagaros, N.D. (2024). The MLDAR Model: Machine Learning-Based Denoising of Structural Response Signals Generated by Ambient Vibration. Computation, 12(2), 31.

Conclusion:

Prof. Lagaros’s career reflects a blend of academic excellence, research innovation, and leadership. His expertise in cutting-edge technologies like machine learning and computational analysis places him among the top researchers in his field. Addressing areas like global outreach, sustainability, and public engagement would further solidify his candidacy. Overall, he is highly suitable for this award and deserves recognition for his contributions to civil engineering and computational science.

Nai-Chang Yeh | applications | Best Researcher Award

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Prof. Nai-Chang Yeh | applications | Best Researcher Award

Prof. Nai-Chang Yeh , California Institute of Technology, United States

Prof. Nai-Chang Yeh is a distinguished physicist at the California Institute of Technology (Caltech) in the United States. She is renowned for her pioneering work in experimental condensed matter physics, particularly in the study of quantum materials and nanoscience. Prof. Yeh has made significant contributions to understanding high-temperature superconductors, topological materials, and nanoscale phenomena. Her research has led to numerous advancements in the field, bridging the gap between fundamental science and practical applications. In addition to her research, Prof. Yeh is highly regarded as an educator and mentor, inspiring the next generation of scientists.

Summary:

Ana Carretero Pérez is a passionate and skilled engineer with a multidisciplinary approach to bioengineering and electronics. Her research on energy harvesting and EEG pattern detection, combined with practical experience in firmware development, positions her as a strong candidate for the Best Researcher Award. Her contributions are impactful, and her academic roles demonstrate her commitment to advancing her field.

Professional Profiles:

ORCID

Scopus

🎓 Education :

Dr. Nai-Chang Yeh earned his Ph.D. in Physics from the Massachusetts Institute of Technology, Cambridge, MA, USA, on February 17, 1988. Prior to this, he completed his B.Sc. in Physics at National Taiwan University, Taipei, Taiwan, Republic of China, on June 11, 1983.

🏢 Experience:

Dr. Yeh’s extensive experience includes prestigious roles and positions such as Highlight Yushan Fellow at the Ministry of Education, Taiwan (2022-2025), and Yushan Fellow Distinguished Professor at National Taiwan Normal University, Taipei, Taiwan (2022-2025). He has held various visiting professorships, including Distinguished Visiting Professor of Physics at Shanghai University (2019), Visiting Chair Professor of Materials Science at National Central University, Taiwan (2017-2018), and Eminent Visiting Professor at Universiti Brunei Darussalam (2014). His past roles also include serving as a Visiting Chair Professor at the Center for Nano and Micro Mechanics, Tsinghua University, Beijing, China (2012-2014).

🛠️ Skills:

Dr. Yeh’s skills encompass advanced condensed matter physics, with a focus on quantum field theory, many-body systems, and nanomaterials. He is proficient in the application of formal quantum field theory and group theory methods to various physical systems. His expertise extends to the development and characterization of advanced nanomaterials, particularly graphene and transition metal dichalcogenides, with applications in flexible electronics and high-frequency circuits.

🏆 Awards:

Dr. Yeh’s remarkable achievements are highlighted by his election as Academician of Academia Sinica, Taiwan (2024), and recognition as a Highlight Yushan Fellow (2022-2025). He has received several notable awards, including the Wu Chien-Shiung Distinguished Lectureship Award (2012), the Scientific & Technological Accomplishment Papers Award (2009), and the David and Lucile Packard Fellowship for Science and Engineering (1992-1997). Additionally, he has been honored with fellowships from the American Association for the Advancement of Science (2007) and the American Physical Society (2004).

🔬 Research Focus:

Dr. Yeh’s research focuses on the synthesis and application of advanced nanomaterials, particularly graphene and two-dimensional materials. His work includes scalable synthesis methods for semiconducting materials, development of interfacial graphene for high-frequency circuits, and innovative approaches to flexible hybrid electronics. His research is supported by various grants and includes significant contributions to quantum information, nanofabrication, and strain-engineered semiconductors.

Conclusion:

Ana Carretero Pérez’s blend of research experience, practical engineering skills, and academic involvement makes her a well-rounded candidate for the Best Researcher Award. With a few enhancements in publication impact and broader recognition, she could further solidify her standing as a leading researcher in her field.

Publications :

  • Publication: Materials Chemistry and Physics
    Source: “A perspective of recent advances in PECVD-grown graphene thin films for scientific research and technological applications”
    Authors: Lu, C.-H., Hao, D., Yeh, N.-C.
    Year: 2024

 

  • Publication: Physical Review B
    Source: “Phonon and defect mediated quantum anomalous Hall insulator to metal transition in magnetically doped topological insulators”
    Authors: Park, A., Llanos, A., Lu, C.-I., Wang, K.L., Yeh, N.-C.
    Year: 2024

 

  • Publication: Advanced Science
    Source: “Dramatically Enhanced Valley-Polarized Emission by Alloying and Electrical Tuning of Monolayer WTe2xS2(1-x) Alloys at Room Temperature with 1T′-WTe2-Contact”
    Authors: Lin, W.-H., Li, C.-S., Wu, C.-I., Atwater, H.A., Yeh, N.-C.
    Year: 2024

 

  • Publication: Advanced Materials Interfaces
    Source: “Feasibility and Structural Transformation of Electrodeposited Copper Foils for Graphene Synthesis by Plasma-Enhanced Chemical Vapor Deposition: Implications for High-Frequency Applications”
    Authors: Lu, C.-H., Shang, K.-M., Lee, S.-R., Tai, Y.-C., Yeh, N.-C.
    Year: 2024

 

  • Publication: ACS Applied Nano Materials
    Source: “Graphene on Nanoscale-Thick Au Films: Implications for Anticorrosion in Smart Wearable Electronics”
    Authors: Lu, C.-H., Shang, K.-M., Lee, S.-R., Tai, Y.-C., Yeh, N.-C.
    Year: 2022

 

  • Publication: ACS Applied Materials and Interfaces
    Source: “Low-Temperature Direct Growth of Nanocrystalline Multilayer Graphene on Silver with Long-Term Surface Passivation”
    Authors: Lu, C.-H., Shang, K.-M., Lee, S.-R., Tai, Y.-C., Yeh, N.-C.
    Year: 2022

 

  • Publication: Looking Beyond the Frontiers of Science: Dedicated to the 80th Birthday of K.K. Phua
    Source: “A Generous Giant – Professor K.K. Phua”
    Author: Yeh, N.-C.
    Year: 2022

 

  • Publication: Advanced Materials
    Source: “Electrically Tunable and Dramatically Enhanced Valley-Polarized Emission of Monolayer WS2 at Room Temperature with Plasmonic Archimedes Spiral Nanostructures”
    Authors: Lin, W.-H., Wu, P.C., Akbari, H., Yeh, N.-C., Atwater, H.A.
    Year: 2022

 

  • Publication: ACS Applied Materials and Interfaces
    Source: “Polymer-Compatible Low-Temperature Plasma-Enhanced Chemical Vapor Deposition of Graphene on Electroplated Cu for Flexible Hybrid Electronics”
    Authors: Lu, C.-H., Leu, C.-M., Yeh, N.-C.
    Year: 2021

 

Özlem Sabuncu |Blockchain-Driven Award |Best Researcher Award

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Dr .Özlem Sabuncu |Blockchain-Driven Award |Best Researcher Award

Dr .Özlem Sabuncu ,Near East University,Turkey

Dr. Özlem Sabuncu is a respected academic affiliated with Near East University in Turkey. Specializing in [mention the field if available], Dr. Sabuncu has made significant contributions to [mention any notable achievements or areas of research]. With a passion for [mention any notable interests or focuses], Dr. Sabuncu continues to inspire both students and peers in the academic community.

 

Professional Profiles:

Orcid

Google scholar

🎓 Education and Academic Achievements:

Dr. Özlem Sabuncu, embarked on my academic journey with a Bachelor’s in Biomedical Engineering, later pursuing a Master’s in Electrical and Electronics Engineering. Currently, I’m finalizing my PhD in the same field at Near East University. My research has yielded numerous publications, including 8 SCI-indexed journal articles and 4 conference articles. These efforts earned me prestigious awards such as the International Best Researcher Award and the NEU 2022 Young Researcher Award.

 

🔬 Areas of Specialization :

  • My expertise lies in Communication Systems and Optimization Theory, with a focus on enhancing network optimization.

🏆 Recognition and Awards:

I’ve been honored with the Best Paper Award at the IEEE International Conference on AI in Everything (AIE) – 2022, among other accolades.

💡 Contribution to Research & Development:

My work spans telecommunications, medical imaging, and blockchain technology. I’ve developed innovative solutions such as a probability distribution model for wireless body sensors and a probabilistic model for noise analysis in medical images. In telecommunications, I’ve optimized blockchain networks for various industries and proposed models for 6G communication.

🤝 Collaborations and Leadership:

I’ve organized 5 research conferences/workshops and engaged in 15 collaborative activities, showcasing my commitment to interdisciplinary research. As Deputy Chairman of the Department of Electrical and Electronics Engineering, I contribute to curricular development and academic leadership.,Developed more than 5 web applications using HTML, CSS, Bootstrap, jQuery, PhP, Python, SQL.

Publications:

General probability distribution model for wireless body sensors in the medical monitoring system

B Bilgehan, L Kayed, Ö Sabuncu
Biomedical Signal Processing and Control 77, 103777

Synchronization and Analysis of Chaotic Circuit with Application to Communication in the internet of things (IoT) Services

B Bilgehan, Ö Sabuncu
2022 International Conference on Computer Aided Design In Mechanical Engineering in Everything (AIE …

Effective deep learning classification for kidney stone using axial computed tomography (CT) images

Ö Sabuncu, B Bilgehan, E Kneebone, O Mirzaei
Biomedical Engineering/Biomedizinische Technik 68 (5), 481-491

A Comparative Analysis of the Different CNN Models Using Fuzzy PROMETHEE for Classification of Kidney Stone

F Sadıkoğlu, Ö Sabuncu, B Bilgehan
International Conference on Theory and Applications of Fuzzy Systems and …

Component-Related Phase Noise Evaluation Method for the LC Oscillators

B Bilgehan, Ö Sabuncu
Circuits, Systems, and Signal Processing 43 (1), 34-53

Atifc Rizwan | Machine Learning Award |Best Researcher Award

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Dr .Atifc Rizwan |Machine Learning Award | Best Researcher Award

Dr .Atif Rizwan ,Kyunghee University,South Korea

Dr. Atif Rizwan is a distinguished academician and researcher currently affiliated with Kyunghee University in South Korea. With expertise in [mention specific field or area of research], Dr. Rizwan has contributed significantly to the academic community through his innovative research and publications. His dedication to excellence in teaching and research has earned him recognition and respect both nationally and internationally. Dr. Rizwan’s commitment to advancing knowledge and fostering collaboration makes him a valuable asset to the academic community at Kyunghee University and beyond.

Professional Profiles:

Scopus

Education:

  • PhD in Computer Engineering
    Jeju National University, Jeju-si, Republic of Korea
    CGPA: 4.39/4.5
    Thesis Title: Joint NAS and Topology Optimization for Decentralized Federated Learning in AIoT Digital Twin Networks
  • Master of Science in Computer Science (MSCS)
    COMSATS University Islamabad, Attock, Punjab, Pakistan
    CGPA: 3.63/4.0
    Thesis Title: WR-SVM model based on the margin radius approach for solving the minimum enclosing ball problem in support vector machine classification
  • Master of Computer Science (MCS)
    COMSATS University Islamabad, Attock, Punjab, Pakistan
    CGPA: 3.83/4.0
  • Bachelor of Science (BSC)
    University of the Punjab, Lahore, Punjab, Pakistan
    Marks: 519/800

 

Professional Experience :

  • Visiting Lecturer
    COMSATS University Islamabad, Attock Campus
    Spring 2018 – Spring 2020
    Responsibilities: Leading programming labs in Java, Python, and C#, guiding students in industry projects.

Technical Skills:

  • Programming: Python, Java, C++, C#
  • Frameworks & CMS: Django, Flask, Codeignitor, MVC
  • Web Development: HTML, CSS, Bootstrap, JavaScript, jQuery, PhP
  • Databases: SQL, MySQL, SQLite
  • Software: Spyder, Jupyter, MATLAB, Sublime Text, PyCharm, Visual Studio, Anaconda, Dreamweaver, Eclipse, NetBeans
  • Protocols: IEEE 802.11, HTTP, CoAP, MQTT, TCP/IP
  • Operating Systems: Ubuntu, Raspbian, Windows

Research Object:

  • Neural Architecture Search for Resource Constraint Devices in DFL
  • Optimization of Topology in DFL
  • Digital Twin for Decentralized Federated Learning
  • Personalized Hierarchical Heterogeneous FL
  • Digital Twin for Centralized Federated Learning
  • Sampling-Based Model Consolidation for Attack Prevention in Federated Learning
  • Indoor Environment Optimization Techniques using Deep Learning in Edge Computing Environments
  • Optimal location for Water Drilling
  • Self Optimal Environment Control with minimum energy consumption for Greenhouse environment
  • Realtime Situation Reporting using YOLO

Development Projects:

  • Developed more than ten android applications using Java, XML, SQL, Firebase.
  • Developed more than 5 web applications using HTML, CSS, Bootstrap, jQuery, PhP, Python, SQL.

Publications:

  1. Khan, A. N., Rizwan, A., Ahmad, R., Jin, W., Khan, Q. W., Lim, S., & Kim, D. H. (2023). Hetero-FedIoT: A Rule-Based Interworking Architecture for Heterogeneous Federated IoT Networks. IEEE Internet of Things Journal.
  2. Rizwan, A., Ahmad, R., Khan, A. N., Xu, R., & Kim, D. H. (2023). Intelligent digital twin for federated learning in AIoT networks. Internet of Things, 100698.
  3. Khan, A. N., Rizwan, A., Ahmad, R., Khan, Q. W., Lim, S., & Kim, D. H. (2023). A precision-centric approach to overcoming data imbalance and non-IIDness in federated learning. Internet of Things, 100890.
  4. Khan, Q. W., Kim, B. W., Ahmed, R., Rizwan, A., Khan, A. N., Kim, K., & Kim, D. H. (2023). Predictive Modeling of Water Table Depth, Drilling Duration, and Soil Layer Classification using Adaptive Ensemble Learning for Cost-Effective Percussion Water Borehole Drilling. IEEE Access.
  5. Shah, S. M. A. H., Shah, S. F. H., Ullah, A., Rizwan, A., Atteia, G., & Alabdulhafith, M. (2023). Arabic Sentiment Analysis and Sarcasm Detection using Probabilistic Projections Based Variational Switch Transformer. IEEE Access.
  6. Khan, A. N., Rizwan, A., Ahmad, R., & Kim, D. H. (2023). An OCF-IoTivity enabled smart-home optimal indoor environment control system for energy and comfort optimization. Internet of Things, 22, 100712.
  7. Khan, A. N., Kim, B. W., Rizwan, A., Ahmad, R., Iqbal, N., Kim, K., & Kim, D. H. (2023). A New Method for Determination of Optimal Borehole Drilling Location Considering Drilling Cost Minimization and Sustainable Groundwater Management. ACS Omega.
  8. Rizwan, A., Khan, A. N., Ahmad, R., & Kim, D. H. (2022). Optimal environment control mechanism based on OCF connectivity for efficient energy consumption in greenhouse. IEEE Internet of Things Journal, 10(6), 5035-5049.

Nega Jibat | Quality control Award |Best Researcher Award

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Mr .Nega Jibat | Quality control Award |Best Researcher Award

Mr .Nega Jibat ,Jimma University,Ethiopia

Mr. Nega Jibat is a distinguished figure in the academic community, currently associated with Jimma University in Ethiopia. With a passion for [insert relevant field or interest], Mr. Jibat has made significant contributions to [mention any notable contributions or achievements]. His expertise and dedication have not only enriched the academic landscape but also inspired countless individuals in their pursuit of knowledge and excellence.

 

Professional Profiles:

Scopus

Education and Academic Affiliation:

Nega Jibat holds the position of Associate Professor of Sociology and Criminology at Jimma University. He has contributed significantly to the fields of sociology and criminology through his research endeavors.

Research Interests:

His research interests span various critical areas including health and well-being, vulnerability, road safety, criminal behavior, gender relations, reproductive lives, and social policy. Nega Jibat has authored approximately 50 articles, showcasing his dedication to advancing knowledge in these domains.

Project Leadership and Collaborations:

Nega Jibat has played pivotal roles in numerous externally funded projects, particularly in international North-South partnerships. Notably, he led a team in drafting the establishment document for the Research Center for Road and Transport Safety at Jimma University, the sole university-based institution dedicated to road safety in Ethiopia.

Mega Research Endeavors:

One of Nega Jibat’s significant achievements includes leading a large-scale research project titled “Risk factors, consequences and interventions of road traffic accidents in Ethiopia.” This project addresses critical issues surrounding road safety in the country, aiming to inform evidence-based interventions.

Current Initiatives:

Currently, Nega Jibat is actively involved in ongoing road safety projects. One notable endeavor involves evaluating existing road safety data management practices and developing a digital information management system. Additionally, he aims to apply artificial intelligence techniques to analyze road safety data effectively.

Publications:

  1. Mapping Evidence on Road Safety Information Management Systems in Sub-Saharan Africa: Scoping Review Protocol (Amme et al. 2024)
  2. School-Based Road Safety Education: Global Experiences and Their Implications for Ethiopia (Ferede, T. Jibat, N. and Tilahun, G. 2023)
  3. A Call for Effective Leadership System Addressing Road Safety Risk factors to Save Lives and Property Losses in Ethiopia: A Thematic Analysis (Bogale, M., Jibat, N. and Tilahun, G. 2023)
  4. Risk factors and implications of road traffic accidents in Oromia Special Zone Surrounding Finfinnee, Ethiopia (Shiferaw, Y., Gemechu, D. and Jibat, N. 2020)

Yuting Huang |c Award |Best Scholar Award

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Dr .Yuting Huang |Computer technology Award |Best Scholar Award

Dr .Yuting Huang ,Hunan University,China

Dr. Yuting Huang is a prominent academic figure affiliated with Hunan University in China. Specializing in [insert field of expertise if known], Dr. Huang has made significant contributions to [mention notable contributions or achievements if available]. With a solid academic background and a commitment to research excellence, Dr. Huang’s work exemplifies innovation and dedication in advancing knowledge in their respective field. They are widely respected for their expertise and have played a pivotal role in shaping the academic landscape at Hunan University and beyond.

 

Professional Profiles:

Scopus

Education:

  • Ph.D. – Civil and Hydraulic Engineering (Heating, Ventilation and Air Conditioning): Hunan University, 09/2022 – present
  • Master – Power Engineering and Engineering Thermophysics: Guangxi University (Rank: 2/40), 09/2018 – 01/2021
  • Bachelor – Built Environment and Energy Application Engineering: Wuhan Textile University (Rank: 1/80), 09/2014 – 06/2018

Research Interests:

  • Indoor thermal and humid environment
  • Indoor air quality
  • Thermal comfort
  • Comfort ventilation
  • Building load
  • Energy efficiency
  • CFD simulation

Research Object:

  • Dynamic response characteristics of air-carrying energy radiant diffuse terminal and optimization method of thermal and humid environment building

Research Projects:

  • Led various national and provincial-level projects, including support plans of the National Ministry of Science and Technology, national “11th Five-Year Plan” 863 project, national International Cooperation special project, and others.
  • Supervised more than 20 horizontal cooperation projects.

Awards:

  • National encouragement scholarship
  • University scholarship
  • Outstanding graduate
  • Outstanding student cadre Wuhan Textile University Guangxi University;Wuhan Textile University Guangxi University;Wuhan Textile University Guangxi University 2015-2017 2015-2021 06/2018 06/2020 09/2017 09/2020
  • Second prize, Third prize, and Specific prize for simulation technology application- National CAR-ASHRAE (Chinese Association of Refrigeration-American Society of Heating Refrigerating and Airconditioning Engineers) Student Design Competition 04/2018 04/2019
  • Third prize- National Design Application Competition of MDV (Multi-Digital-Variable) Central Air Conditioning 10/2018
  • First prize- “Higher Education Cup” National College Students Advanced Mapping Technology and Product Information Modeling Innovation Competition 07/2016
  • Second prize- “Dragon’s Picture Cup” National BIM (Building Information Modeling) Competition
  • First prize- “Multi-dimensional Cup” China Undergraduate Mathematical Contest in Modeling
  • Second prize- “MathorCup” National University Mathematical Modeling Challenge 12/2017 07/2020 06/2020.

Publications:

  1. Transient simulation and experimental analysis for the response of dual-cycle air-carrying energy radiant diffuse terminal. Journal of Cleaner Production, 2024.
  2. Accurate heating, ventilation and air conditioning system load prediction for residential buildings using improved ant colony optimization and wavelet neural network. Journal of Building Engineering, 2021.
  3. Analyzing life-cycle water footprint for advanced bio-liquid fuel: Crop residues and non-grain biofuels in China. Journal of Cleaner Production, 2021.
  4. Evaluation of slagging characteristics for microalgae and lignocellulose: A comparison of aggregative index and model. Journal of Renewable and Sustainable Energy, 2020.
  5. Air conditioning system of double-deck vehicle and double-deck vehicle. Patent application number: CN202221482199.2, Publication number: CN 217778284 U, 2022.
  6. Application of BIM for Green Projects of Tianmen Agricultural E-Commerce High-Tech Industrial Park. Journal of Information Technology in Civil Engineering and Architecture, 2017.
  7. Analysis of defrosting performance for commercial vehicle windscreen based on CFD. Bus &Coach technology and research, 2023.
  8. New rationale for the effect of multiple buoyancies and their influence on the propagation of respiratory pollutants. Physics of Fluids, 2024.
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