Mr. HIJRATULLAH SHARIFZADA | Management | Best Researcher Award

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Mr. HIJRATULLAH SHARIFZADA | Management | Best Researcher Award

Central South University, China

Hijratullah Sharifzada  is an emerging civil engineering professional from Afghanistan, currently pursuing a Master’s degree in Civil Engineering at Central South University in Changsha, China . A dedicated scholar and researcher, Hijratullah specializes in construction management and infrastructure development, with a keen focus on risk assessment and project delay analysis. His academic journey reflects excellence, with a CGPA of 3.8 out of 4.0 and several peer-reviewed publications to his name 📚. He is recognized for his collaborative research contributions, particularly in areas impacting construction practices in Afghanistan and South Asia.

Publication Profile

🎓Education Background:

Hijratullah began his Master’s journey in Civil Engineering (Construction Management) at Central South University in September 2020 and is expected to graduate by July 2024 🎓. His rigorous academic training spanned three years, during which he developed deep expertise in infrastructure planning, delay risk assessment, flexible pavement analysis, and intelligent construction systems. His final mark, an impressive 3.8/4.0, is a testament to his academic dedication and competence in engineering education 📘.

👷‍♂️Professional Experience:

As a graduate researcher, Hijratullah has worked closely with renowned professors like Prof. Yu Deming and Dr. You Wang on multiple funded projects and international journal articles. His hands-on involvement in modeling risk factors using Structural Equation Modeling (SEM), as well as contributing to advanced predictive frameworks like SSA-SVM-LSTM for subsidence prediction, underscores his practical understanding of both theoretical and applied civil engineering. He has collaborated across borders with researchers from China, Pakistan, and Afghanistan to address real-world challenges in construction management and safety monitoring 🏗️.

🏅Awards and Honors:

Though early in his career, Hijratullah’s work has already earned notable recognition in the academic community. His research has been published in high-impact journals such as Construction and Building Materials and Heliyon. His thesis on project delay risks in Afghanistan, grounded in the 4M1E framework, has been cited in policy recommendations for construction risk reduction in fragile zones 🥇. His contributions have also led to invitations for peer reviews and conference presentations.

🔬Research Focus:

Hijratullah’s primary research interests lie in construction management, delay risk analysis, infrastructure resilience, and intelligent safety systems. He leverages analytical tools like SEM, risk matrices, and deep learning models to explore uncertainties in construction projects 🔍. His research aims to bring smart solutions to the unique challenges faced by developing and post-conflict countries, emphasizing sustainable development, cost-efficiency, and safety in civil engineering practices 🧠.

🔚Conclusion:

In summary, Hijratullah Sharifzada is a promising young civil engineer and researcher with an impressive academic record, international research collaborations, and a strong portfolio of published work. With a passion for addressing complex engineering challenges through intelligent systems and risk-based methodologies, he is well on his way to making impactful contributions in the field of civil engineering, especially in regions facing developmental hardships 🌍.

📚Top Publications :

Construction Project Delay Risk Assessment Based on 4M1E Framework and Afghanistan Situation
Cited by: Google Scholar Citations (check citations)

Analysis of Flexible Pavement Distress
Cited by: Google Scholar Citations

Experimental study on the flexural fatigue performance of geopolymeric recycled aggregate concrete
Cited by: Scopus (Search article title)

Comprehensive Risk Assessment of Pakistan Railway Network: A Semi-Quantitative Risk Matrix Approach
Cited by: ScienceDirect (Search article title)

Identifying and Assessing the Impact of 4M1E Factors on Construction Project Delays in Afghanistan Using SEM
Cited by: Under indexing – peer-reviewed

An Image-Based Intelligent System for Addressing Risk and Uncertainty in Construction Site Safety Monitoring (Under Review – ASCE)
 Cited by: N/A (Under Review)

Surface Subsidence Prediction Method Based on Spatiotemporal Characteristics and SSA-SVM-LSTM Model (Under Review – AEJ)
Cited by: N/A (Under Review)

Mr. hang du | Programming | Internet of Things Award

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Mr. hang du | Programming | Internet of Things Award

student, Nanjing Forestry University, China

Du Hang , a passionate researcher and aspiring innovator in the field of electronic information and FPGA-based hardware acceleration, is currently pursuing his Master’s degree at Nanjing Forestry University. Born in January 2000 in Nanyang, Henan Province, Du Hang has developed a strong academic and technical foundation in electrical engineering and embedded systems. As a member of the Communist Party of China, he is committed to academic excellence and practical innovation in electronic information systems. With a focus on hardware-software co-design, Du actively contributes to high-performance computing projects and has already published scholarly work in international journals.

Publication Profile

Scopus

🎓Education Background:

Du Hang is presently enrolled in the Master’s program in Electronic Information at Nanjing Forestry University (2022.09–2025.06). His coursework includes FPGA technology and application, C/C++ programming, embedded system design, and integrated circuit principles. He completed his undergraduate degree in Electrical Engineering and Automation at Henan University of Science and Technology (2018.09–2022.06), where he gained foundational knowledge in digital electronic technology, power systems, analog circuits, and motor control.

💼Professional Experience:

Du Hang has rich project experience involving advanced hardware design and system-level integration. His work includes the automatic focusing design of a thermal infrared camera using FPGA, FPGA-based machine vision defect detection systems, and the YOLOv4-tiny accelerator design using HLS for real-time object detection. He also led the development of a PC-based temperature and humidity data display system using STM32 and Visual Studio, and implemented a handwritten digit recognition system using PYNQ and LeNet. These projects highlight his strong command over Vivado, HLS, Vitis, and embedded systems, as well as his proficiency in hardware debugging using oscilloscopes and soldering tools.

🏆Awards and Honors:

Du Hang was awarded Second Prize in the 7th JiChuang Competition (East China Division) for his FPGA-based machine vision defect detection system. He holds two patents—one on a hardware acceleration system for target detection and another on a convolutional neural network acceleration architecture based on FPGA. His achievements demonstrate not only technical capability but also innovation under resource-constrained environments.

🔬Research Focus:

Du Hang’s research centers on FPGA-accelerated deep learning, hardware-software co-design, real-time signal processing, and embedded system optimization. He focuses on designing lightweight and high-speed neural network accelerators with techniques such as loop unrolling, channel parallelism, and double-buffer pipelining to enhance throughput and computational efficiency. His work contributes to applications in industrial automation, smart vision, and intelligent embedded systems.

🔚Conclusion:

Du Hang is a dynamic and highly motivated young engineer and researcher whose expertise lies in bridging the gap between algorithm design and hardware implementation. His ability to manage interdisciplinary projects, from coding to PCB-level execution, places him on a promising trajectory in the fields of electronic information and embedded AI systems. With a blend of academic excellence, innovation, and practical skills, Du Hang is poised to make significant contributions to future advancements in intelligent hardware systems.

📚 Top Publication Notes

FPGA Accelerated Deep Learning for Industrial and Engineering Applications: Optimal Design Under Resource Constraints
 Journal: Electronics (Switzerland), 2025
 Published Year: 2025
 Authors: Liu Yanyi, Du Hang, Wu Yin, Mo Tianli
 Cited by: 1 article

Prof. Annalina Sarra | Integration | Best Research Award

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Prof. Annalina Sarra | Integration | Best Research Award

University “G.d’Annunzio” of Chieti-Pescara, Italy

Annalina Sarra is an accomplished Associate Professor of Statistics at the University “G. d’Annunzio” of Chieti-Pescara . With over two decades of experience in academia and research, she is widely recognized for her contributions to spatial models, functional data analysis, and Bayesian methods. Her scholarly journey is marked by deep engagement in national and international projects spanning the fields of environment, education, and social sciences. Passionate about teaching innovation and scientific dissemination, she brings a vibrant mix of academic rigor and creativity to both the classroom and her research endeavors. 🌍📊

Publication Profile

🎓 Education Background

Annalina Sarra earned her Ph.D. in Statistics from the University “G. d’Annunzio” in 2003 🎓, following her MSc in Economics and Commerce from the same university with full marks (110/110) 🏅. She also enriched her academic path as a visiting student at the University of Lancaster, UK, in 2001 🇬🇧, where she cultivated an international perspective in statistical methodologies.

💼 Professional Experience

Currently serving as an Associate Professor (since 2023), Annalina has been part of the University “G. d’Annunzio” since 2005. She advanced from Postdoctoral Research Fellow to Tenure-Track Researcher (RTD-B) between 2005 and 2023. Her teaching portfolio includes a wide range of courses such as Marketing Statistics, Statistics of Education, and Introduction to R, reflecting her dedication to applied and theoretical aspects of statistics 📚👩‍💻.

🏆 Awards and Honors

She holds dual National Academic Qualifications as Associate Professor in both Statistics (13/D1) and Demography & Social Statistics (13/D3), valid until 2027 🏅. These qualifications underscore her scholarly excellence and recognized expertise in her fields.

🔬 Research Focus

Annalina’s research interests span functional data analysis, spatial and spatio-temporal models, IRT and multilevel models, hierarchical Bayesian approaches, and machine learning techniques such as topic mining 🤖. She is especially engaged in research around educational assessment and analyzing dropout risks using advanced statistical tools. Her involvement in projects like ENCLOSE, TOLERANT, and Boost for Excellence highlights her contribution to contemporary issues like online hate, educational inequality, and social analysis.

🔚 Conclusion

With over 100 publications, a dynamic teaching profile, and a solid footprint in collaborative research, Annalina Sarra stands out as a key figure in statistical research and pedagogy in Italy and beyond 🌐📈. Her work continues to shape the fields of applied statistics and education through innovation, impact, and inclusivity.

📚 Top Publications 

High dimensional variable selection through group Lasso for multiple function-on-function linear regression: A case study in PM10 monitoring
Published in: Environmetrics, 2025
Cited by: 1

How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach
Published in: Computers in Human Behavior, 2024
Cited by: 8

A Functional approach for constructing dynamic Composite Indicators
Published in: Statistical Methods and Applications, 2024
Cited by: 0

Looking for patterns of change amid pandemic period in students’ evaluation of academic teaching
Published in: Quality and Quantity, 2023
Cited by: 2

Dr. Zinat Ebrahimi | Virtual Reality | Best Academic Researcher Award

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Dr. Zinat Ebrahimi | Virtual Reality | Best Academic Researcher Award

Assistant Professor, Islamic Azad University, Iran

Zinat Ebrahimi is a dedicated academic and researcher in the field of sport management, currently serving as a Lecturer at the Islamic Azad University, Sanandaj Branch, Iran . With over 15 years of teaching experience, she specializes in sport policy, community engagement, and the role of physical activity in enhancing public health. Zinat is particularly passionate about promoting elderly well-being, intergenerational interaction, and urban development through the medium of sport 🏃‍♀️🏙️. She combines a strong academic foundation with practical experience, bridging the gap between theory and community-level action.

Publication Profile

ORCID

📚Education Background:

Zinat holds a Master’s degree in Sport Physiology from Al-Zahra University, Tehran (2004–2007) and a Bachelor’s degree in Physical Education and Sport Sciences from Razi University, Kermanshah (2000–2004) 🎓. Her academic journey laid the groundwork for a lifelong commitment to sport, health, and social policy, equipping her with both technical expertise and critical insight into contemporary sport-related challenges.

💼Professional Experience:

Since 2009, Zinat has been a faculty member at Islamic Azad University, Sanandaj Branch, where she lectures on topics such as sport psychology, leadership, and coaching. From 2009 to 2011, she also served as Vice President of the Badminton Provincial Board under the Department of Sport and Youth of Kurdistan Province 🏸. Her multifaceted career reflects her commitment to teaching, research, and community service.

🏅Awards and Honors:

While specific awards and recognitions have not been individually listed, Zinat’s extensive publication record in peer-reviewed journals and participation in international conferences reflect the academic community’s recognition of her impactful work 📖🌐. Her research contributions to journals like Journal of Gerontology, Salmand: Iranian Journal of Ageing, and Healthcare showcase her respected standing in her field.

🔬Research Focus:

Zinat’s research focuses on elderly well-being and mental health through sport, the quality of sport and recreational facilities, and the sociopolitical dimensions of sport in geopolitically sensitive regions 🌍🧠. She utilizes a mixed-methods approach and tools like SPSS, MAXQDA, and ATLAS.ti to ensure methodological rigor. Her recent work explores sport as a vehicle for diplomacy and social cohesion, making a compelling case for its role in global peacebuilding and policy transformation 🤝🕊️.

📝Conclusion:

Driven by a vision to make sport accessible and impactful, Zinat Ebrahimi exemplifies academic excellence, social responsibility, and innovative thinking in the sport management field. Her interdisciplinary and bilingual expertise, coupled with field experience across Iran’s regions, positions her as a transformative figure in using sport for societal good 🌟📊.

📘Top Publications:

Gamified Exercise in Virtual Reality: A Novel Intervention for Enhancing Mental Health and Reducing Suicidal Ideation in Older Adults
Published in: Healthcare, 2025
Cited by: [Google Scholar – citations may update post-indexing]

Exploring the Process of Improving the Quality of Student Sports in Iran
Published in: Sport Physiology & Management Investigations, 2024
Cited by: [Under review/early indexing]

The Service Quality of Sport-Entertainment Facilities of Mashhad Municipality with the Approach of an Elderly-Friendly City in 2018
Published in: Journal of Gerontology, 2023
Cited by: [Indexing under process – check ResearchGate or Google Scholar]

The Effect of Physical Activity Based on Intergenerational Programs on the Quality of Life of Older Adults
Published in: Salmand: Iranian Journal of Ageing, 2020
Cited by: 6 articles (via Web of Science)

Effects of Pilates Exercise on Body Image, Body Composition and Body Fat Percentage in Sedentary Women
Published in: Sports Psychology, 2019
Cited by: [Citations pending – journal indexing in progress]

Mrs. Micheline Sabiteka | Technologies | Best Researcher Award

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Mrs. Micheline Sabiteka | Technologies | Best Researcher Award

PhD Candidate, Central China Normal University, China

SABITEKA Micheline is a passionate academic and emerging researcher in the field of Educational Technology and Artificial Intelligence in Education. She is currently pursuing her Ph.D. at the Central China Normal University Wollongong Joint Institute, Faculty of Artificial Intelligence in Education. Alongside her doctoral journey, she contributes as an Assistant Lecturer at École Normale Supérieure de Bujumbura. With a strong foundation in applied pedagogy, she is dedicated to fostering technological innovations in teaching and learning, especially for developing countries 🌍💻.

Publication Profile

ORCID

🎓Education Background

Micheline holds a Bachelor’s degree in Applied Pedagogy with a Chemistry specialization from the University of Burundi (2015). She completed her Master’s in Engineering and Technology for Education and Training from Université Hassan II de Casablanca, Morocco (2018), focusing on ICT integration in university teaching. Currently, she is a Ph.D. candidate in Education Technology at Central China Normal University, Wuhan, China, researching the identification and adoption of educational technologies in developing countries 📘🔬.

👩‍🏫Professional Experience

She has served as an Assistant Lecturer at École Normale Supérieure de Bujumbura from 2019 to 2022, playing a crucial role in educational transformation. She was also a key researcher for the “Demographics of African Faculty in the East African Community (DAF EAC)” Project from 2021 to 2022. In 2022, she contributed significantly to UNESCO’s “ECOLE A DOMICILE Burundi” project, designing and managing online learning courses 🎓🌐.

🏅Awards and Honors

SABITEKA Micheline’s academic journey is marked by her involvement in international research and contribution to global discussions. She has published in leading journals like Sustainability and IEEE. Her editorial service includes reviewing manuscripts for the journal Education and Information Technologies. She has also authored two patents and is gaining recognition for her work in educational technology innovation 🏆📜.

🔬Research Focus

Her primary research interests include Educational Technologies, Artificial Intelligence for Education, and the Technological Pedagogical Content Knowledge (TPACK) framework. Her work focuses on sustainable educational strategies and the implementation of emerging technologies like Augmented and Virtual Reality in developing nations’ higher education systems 🤖📚.

✅Conclusion

SABITEKA Micheline is a dedicated researcher and educator whose work bridges innovative technology with practical pedagogy in under-resourced contexts. Through her academic excellence, field experience, and publication record, she continues to advocate for inclusive and transformative education systems in developing countries 🌏✨.

📘Top Publications 

Toward Sustainable Education: A Contextualized Model for Educational Technology Adoption for Developing Countries – Sustainability, 2025.
Cited by: 2 articles

Adoption of Teaching Strategies Leveraging on Augmented Reality & Virtual Reality in Higher Education in Less Developing Countries: A Case of BURUNDI – IEEE Conference on Intelligent Education and Intelligent Research (IEIR), 2023.
Cited by: 2 articles

Assist. Prof. Dr. Abdus Sobhan | Sensor | Best Researcher Award

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Assist. Prof. Dr. Abdus Sobhan | Sensor | Best Researcher Award

Assist. Professor, Alcorn State University, United States

Dr. Abdus Sobhan is an accomplished researcher and academic in the field of Food Science and Technology, currently serving as an Assistant Professor at Alcorn State University, USA. With a deep-rooted passion for biosensor development and smart food packaging, he has established a distinguished career focused on food safety innovation and sensor technology. His expertise bridges academic research and industrial application, contributing significantly to the development of electrochemical biosensors and AI-integrated detection systems for medical and agricultural advancements.

Publication Profile

Scopus

🎓 Education Background:

Dr. Sobhan earned his Ph.D. in Agricultural/Food Engineering from South Dakota State University, USA in 2021. He holds an M.S. in Food Science from Sangmyung University, South Korea, completed in 2018, and a B.S. in Food Engineering from Hajee Mohammad Danesh Science and Technology University, Bangladesh, in 2014.

🧑‍🏫 Professional Experience:

Dr. Sobhan is currently an Assistant Professor of Food Science and Technology at Alcorn State University, a role he began in February 2024. Prior to this, he worked as a Postdoctoral Associate at the University of Arkansas from 2021 to 2024. From 2018 to 2021, he served as a Graduate Research Assistant at South Dakota State University, where he laid the foundation for his expertise in biosensors and smart packaging technologies.

🏆 Awards and Honors:

Throughout his academic journey, Dr. Sobhan has received several prestigious awards, including the International Dean’s Award from South Dakota State University in 2018, the Sangmyung Brilliant Research Scholarship in 2017, and the Woojun Education and Cultural Foundation Award between 2016 and 2018. These honors reflect his commitment to academic excellence and innovative research.

🔍 Research Focus:

Dr. Sobhan’s primary research interests lie in the development and application of biosensors for detecting pathogenic microorganisms, integration of machine learning and IoT for real-time food and health diagnostics, and the advancement of smart and sustainable packaging solutions. He also focuses on electrochemical biosensors and nano-devices tailored for food safety and medical applications, with strong involvement in collaborative and interdisciplinary research.

🧾 Conclusion:

Dr. Abdus Sobhan stands out as a dedicated food engineer and scientist whose impactful contributions to biosensor technology and smart food packaging are driving innovation in both food and healthcare industries. With active roles as an editor and reviewer for renowned journals, and his ongoing commitment to education and scientific advancement, he is shaping the future of food safety and applied biosensor research.

📚 Top Publication :

Cold plasma treatment for E. coli inactivation and characterization for fresh food safety
Cited by: 5 articles

Revolutionizing Food Safety: Non-Thermal Plasma Technology for Effective Microbial Inactivation and Quality Assurance in Food Processing
Cited by: 3 articles

Comparative assessment of fresh and processed tomato (Solanum lycopersicum) pulps: impact of processing on physicochemical, antioxidant, and enzymatic behavior
Cited by: 2 articles

Enhancing the Dispersity and Electrochemical Properties of Chitosan-Coated Carbon Nanotubes for Manufacturing High-Sensitivity Biosensors
Cited by: 4 articles

Development of a glucose enzyme fuel cell based on thin film electrode using biocatalysts
Cited by: 3 articles

Development of Halloysite Nanotube-Infused Thermoset Soybean Bio-Resin for Advanced Medical Packaging
Cited by: 6 articles

A novel activated biochar-based immunosensor for rapid detection of E. coli O157:H7 in packaged foods
Cited by: 18 articles

Biosensors and biopolymer-based nanocomposites for smart food packaging: Challenges and opportunities
Cited by: 25 articles

Prof. Chen Juan | Deep learning | Best Researcher Award

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Prof. Chen Juan | Deep learning | Best Researcher Award

Shanghai University, China

Dr. Juan Chen is a distinguished researcher and educator in the field of big data analytics, autonomous driving, and computer vision, currently serving as a faculty member at SILC Business School, Shanghai University since 2009. With over two decades of academic and research experience, she specializes in developing cutting-edge AI models, especially for transportation and e-commerce applications. Her expertise in deep learning and intelligent transportation systems has earned her recognition in core academic journals and scientific communities.

Publication Profile

ORCID

🎓 Education Background

Dr. Chen obtained her Ph.D. in Control Science and Engineering from Tongji University, China in 2008. She previously completed her Master’s degree at the School of Automation, Xi’an Jiaotong University in 2003, and earned her Bachelor’s degree in Energy and Power Engineering from Shanghai University of Technology in 1996. Her robust academic background laid the foundation for her interdisciplinary work across AI, engineering, and data science.

🏫 Professional Experience

Dr. Chen began her academic career as a lecturer at the School of Electronic and Information Engineering, Northern University for Nationalities from 1996 to 1998 and returned to the same school from 2001 to 2002. Since 2009, she has been actively contributing to teaching and research at SILC Business School, Shanghai University. Her teaching portfolio includes essential courses such as Python Program Design, Fundamentals of Data Analysis, and Deep Learning Practice in Computer Vision, which bridge theory with real-world AI practices.

🏆 Awards and Honors

Dr. Chen has consistently published in prestigious journals indexed in SCI and ESCI, such as the International Journal of Distributed Sensor Networks, IET Intelligent Transport Systems, and Algorithms. Her research achievements, including core journal recognition by Peking University, reflect her impactful contributions to intelligent systems and optimization in traffic networks.

🔬 Research Focus

Dr. Chen’s research is centered on big data analysis applied to transportation and e-commerce, autonomous vehicle control, computer vision, and deep learning. She has developed advanced models such as graph convolutional networks and spatiotemporal LSTM to address challenges in vehicle trajectory prediction, traffic congestion, and signal optimization. Her work integrates reinforcement learning, fuzzy logic, and multi-objective optimization to improve real-world systems’ efficiency and sustainability.

🔚 Conclusion

With an unwavering commitment to advancing AI applications in intelligent transportation, Dr. Juan Chen exemplifies interdisciplinary excellence. Her blend of academic rigor, research innovation, and practical teaching continues to inspire the next generation of engineers and data scientists. 🚗💡📊

📚 Top Publications :

Urban expressway on-ramp control based on improved NSGA-Ⅱ algorithm of reinforcement learning
Journal of Shanghai University (Natural Science Edition), 2023
Cited by: Search in Google Scholar

Vehicle Trajectory Prediction Based on Local Dynamic Graph Spatiotemporal-LSTM Model
World Electric Vehicle Journal, 2024
Cited by: Search in Google Scholar

KGCN-LSTM: A graph convolutional network considering knowledge fusion of point of interest for vehicle trajectory prediction
IET Intelligent Transport Systems, 2023
Cited by: Search in Google Scholar

Connected and automated vehicle control at unsignalized intersection based on deep reinforcement learning in vehicle-to-infrastructure environment
International Journal of Distributed Sensor Networks, 2022
Cited by: Search in Google Scholar

Multi-class expressway traffic control for reducing congestion and emissions based on fuzzy NSGA
Journal of Shanghai University (Natural Science Edition), 2021
Cited by: Search in Google Scholar

Freeway Traffic Congestion Reduction and Environment Regulation via Model Predictive Control
Algorithms, 2019
Cited by: Google Scholar

Traffic congestion prediction based on GPS trajectory data
International Journal of Distributed Sensor Networks, 2019
Cited by: Search in Google Scholar

Prof. Dr. Bojan Srdjevic | Decision Science | Best Researcher Award

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Prof. Dr. Bojan Srdjevic | Decision Science | Best Researcher Award

Department of Water management, Faculty of Agriculture, University of Novi Sad, Serbia

Prof. Dr. Bojan Srđević is a distinguished Professor Emeritus at the University of Novi Sad, Serbia . With an illustrious career in academia and consulting, he has contributed significantly to the fields of water management, systems analysis, and decision-making processes. He has been actively engaged in over 90 domestic and international scientific projects and has delivered lectures and seminars across Europe and South America, including countries like Brazil, Germany, Turkey, Portugal, and Sweden. With 360 scientific and professional publications to his name—45 of which are indexed in SCI/ISI—he is recognized globally for his scholarly contributions. 🌍📘

Publication Profile

Scopus

🎓 Education Background

Prof. Srđević earned his Dipl. Eng. in Electronics and Telecommunications from the Faculty of Electrical Engineering, University of Belgrade in 1974. He then completed his Master of Science in Systems Management in 1984 from the same university, followed by a Doctor of Science (Ph.D.) in 1987 from the Faculty of Technical Sciences, University of Novi Sad. 🎓📡🧠

💼 Professional Experience

Since 1980, he has served at the Faculty of Agriculture, University of Novi Sad, Department of Water Management, where he holds the title of Professor Emeritus. He has taught in prestigious master’s and doctoral programs in Serbia, Brazil, and Germany and served as a consultant for international organizations like the World Bank, UNDP, EU, BRL Ingenierie (France), and MAGNA Engenharia (Brazil). 🌐🏫💧

🏅 Awards and Honors

Prof. Srđević is a recognized permanent reviewer for top-tier journals published by Elsevier, Springer, Wiley, Taylor & Francis, IWA, and ASCE. While specific award names are not listed, his distinguished reviewer status and roles with prestigious institutions reflect his global recognition and academic excellence. 🏅📖🌟

🔬 Research Focus

His research is primarily centered on systems analysis, water resource management, stakeholder engagement, multi-criteria decision-making (MCDM), and the application of analytical hierarchy processes (AHP). His work integrates hydrological, environmental, and socio-economic dimensions to develop holistic solutions for sustainable development. 💧📊🌿

🧾 Conclusion

Prof. Dr. Bojan Srđević stands out as a visionary scholar and an expert in systems management and water resource planning. His multidisciplinary expertise, international engagements, and profound academic contributions make him a highly respected figure in engineering and environmental sciences. 🧑‍🏫🌐📚

📚 Publications 

Coupling Hydrological and Economic Model for the Analysis of Staged Growth in Water Management Systems
Bojan M. Srdjević, Zorica Srdjevic
Journal: Water (Switzerland), 2024
Cited by: 0

The nexus between pressures and ecosystem services in floodplains: New methods to integrate stakeholders’ knowledge for water quality management in Serbia
Milica Ilic, Zorica Srdjevic, Bojan M. Srdjević et al.
Journal: Ecosystem Services, 2024
Cited by: 0

Multi-Model Assessing and Visualizing Consistency and Compatibility of Experts in Group Decision-Making
Bojan M. Srdjević, Zorica Srdjevic
Journal: Mathematics, 2024
Cited by: 1

A stakeholder-driven holistic approach to mitigate drought in Ramsar wetlands: evaluation of nature-based solutions using interval analytic hierarchy process
Senka D. Ždero, Bojan M. Srdjević, Zorica Srdjevic
Journal: Journal of Water and Climate Change, 2024
Cited by: 1

Prioritisation in the analytic hierarchy process for real and generated comparison matrices
Bojan M. Srdjević, Zorica Srdjevic
Journal: Expert Systems with Applications, 2023
Cited by: 9

An Analysis of Preference Weights and Setting Priorities by Irrigation Advisory Services Users Based on the Analytic Hierarchy Process
Itzel Inti Maria Donati, Davide Viaggi, Zorica Srdjevic, Bojan M. Srdjević et al.
Journal: Agriculture (Switzerland), 2023
Cited by: 4

Ms. Chunmei Zhou | catalysis | Best Researcher Award

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Ms. Chunmei Zhou | catalysis | Best Researcher Award

professor, School of Chemistry and Molecular Engineering, China

Dr. Chunmei Zhou is a distinguished researcher in the field of Heterogeneous Catalysis, currently affiliated with Nanjing Tech University, China . She has gained international recognition for her innovative work on nanostructured materials and catalytic processes related to biomass upgrading and sustainable chemistry. With over 3,100 citations and an h-index of 30, Dr. Zhou has made significant contributions to advancing cleaner and more efficient catalytic technologies.

Publication Profile

Scopus

🎓 Education Background:

Dr. Zhou earned her Ph.D. in Industrial Catalysis from South China University of Technology in 2010. Her academic foundation laid the groundwork for her impactful research on catalytic materials and green chemistry applications.

💼 Professional Experience:

Following her PhD, she completed three years of postdoctoral research supported by competitive grants at Nanyang Technological University, Singapore 🇸🇬. Thereafter, she returned to China and joined Nanjing Tech University, where she currently serves as a researcher in the School of Chemical Engineering.

🏅 Awards and Honors:

While detailed information on awards was not available in the source, Dr. Zhou’s high citation record and international collaborations reflect the esteem with which her work is held in the academic community. She is also an active contributor to high-impact journals, further showcasing her scientific influence.

🔬 Research Focus:

Dr. Zhou’s research is primarily focused on the synthesis of nanostructured materials for catalytic applications, especially in biomass conversion to high-value chemicals. Her work aims to address challenges in green chemistry, sustainable resource utilization, and energy-efficient catalytic reactions. Her recent efforts delve into aqueous-phase reforming, selective oxidation, and hydrogenative rearrangements using novel nanocatalysts.

🔚 Conclusion:

Dr. Chunmei Zhou stands out as a prolific and visionary researcher in heterogeneous catalysis, with a commitment to sustainable chemical transformations. Her contributions continue to shape the future of clean energy and green chemistry technologies through collaborative, interdisciplinary research. 🌱⚗️

📚 Top Publications 

Atomically Precise Water-Soluble Gold Nanoclusters: Synthesis and Biomedical Application
Journal: Open Access Review, 2024
Citations: 15

Biomass upgrading of furfural to cyclopentanone via selective aqueous-phase hydrogenative rearrangement over Pd/g-C3N4 catalysts
Journal: Chemical Engineering Journal, 2025
Citations: 0

Enhanced Glycerol Oxidation Toward Dihydroxyacetone Over Gold/Palladium Binary Nanocatalysts by Structure Control
Journal: Chemistry – A European Journal, 2025
Citations: 0

Metal–ligand interfaces for well-defined gold nanoclusters
Journal: Review Article, 2024
Citations: 4

Ball-milling-induced phase transition of ZrO₂ promotes selective oxidation of glycerol to dihydroxyacetone over supported PtBi bimetal catalyst
Journal: Chemical Engineering Journal, 2023
Citations: 8

Metal-carbonate interface promoted activity of Ag/MgCO₃ catalyst for aqueous-phase formaldehyde reforming into hydrogen
Journal: Fuel, 2023
Citations: 10

Assist. Prof. Dr. Xinhe Zhu | Biomedical Engineering | Best Researcher Award

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Assist. Prof. Dr. Xinhe Zhu | Biomedical Engineering | Best Researcher Award

North China University of Technology, China

Dr. Xinhe Zhu is a dedicated researcher and educator in the fields of robotics control, biological tissue modeling, aerospace navigation, and nonlinear filtering. Originally from China , he earned both his B.S. with honors in Aerospace Engineering (2017) and Ph.D. in Mechanical and Manufacturing Engineering (2022) from RMIT University, Australia . He is currently affiliated with North China University of Technology, Beijing, where he contributes to interdisciplinary advancements in biomedical engineering and bio-mechatronics. With a strong international research footprint, Dr. Zhu has authored numerous high-quality publications in JCR Q1 journals, significantly contributing to the modeling of soft biological tissues and control systems in medical robotics and aerospace.

Publication Profile

🎓 Education Background:

Dr. Zhu completed his Bachelor’s degree with honors in Aerospace and Aviation Engineering at RMIT University, Australia, in 2017. He pursued his Doctor of Philosophy in Mechanical and Manufacturing Engineering at the same institution, completing it in August 2022. During his academic tenure, he gained comprehensive experience in engineering design, simulation, and real-time system control, setting a solid foundation for his cross-disciplinary research career.

💼 Professional Experience:

Dr. Zhu has held a variety of impactful roles in both academia and international collaborative projects. At RMIT University, he worked as a PhD candidate from 2016 to 2017, developing online estimation algorithms and surgical robotics platforms. Between 2019 and 2021, he served as a research assistant on a National Natural Science Foundation of China project focused on hypersonic vehicle navigation. He is also involved in the ARC Discovery Project (2022–2024), aiming to enhance surgical robot precision via nonlinear optimization in haptic control systems. As a teaching academic at RMIT since 2018, Dr. Zhu taught courses such as Engineering Computer Graphics and Advanced CAD, earning multiple College Teaching Awards for 2022, 2023, and 2024 🏅.

🏆 Awards and Honors:

Dr. Zhu’s commitment to educational excellence and engineering innovation has been recognized through several College Teaching Awards from RMIT University across three consecutive years—2022, 2023, and 2024 🎖️. His research has also been acknowledged through prestigious project affiliations like the ARC Discovery Project and the National Natural Science Foundation of China.

🔬 Research Focus:

Dr. Zhu’s research lies at the intersection of biomedical engineering and aerospace control systems. He focuses on haptic feedback control, real-time soft tissue modeling via Extended Kalman Filters, and the development of virtual surgical systems. His interests further extend to nonlinear filtering, COVID-19 epidemiological modeling, and multi-sensor navigation for hypersonic vehicles. He integrates machine learning techniques such as Radial Basis Function Neural Networks into biomedical environments, driving advancements in bio-mechatronics and cellular-level analysis 🧠🤖.

🔚 Conclusion:

With a diverse academic background, global teaching and research contributions, and a growing portfolio of high-impact publications, Dr. Xinhe Zhu stands as an emerging leader in bioengineering and aerospace system integration. His continued research in haptic control, nonlinear filtering, and multi-model system optimization marks him as a significant contributor to the next generation of biomedical devices and intelligent aerospace systems 🌍🚀.

📚 Top Publications :

Iterative Kalman Filter for Biological Tissue Identification (2023), International Journal of Robust and Nonlinear Control – Cited by: 17

Extended Kalman Filter based on Stochastic Epidemiological Model for COVID-19 Modelling (2022), Computers in Biology and Medicine – Cited by: 45

Extended Kalman Filter for Online Soft Tissue Characterization based on Hunt–Crossley Contact Model (2022), Journal of the Mechanical Behavior of Biomedical Materials – Cited by: 28

Real-time haptic Characterisation of Hunt–Crossly Model using RBF Neural Network (2023), Journal of the Mechanical Behavior of Biomedical Materials – Cited by: 12

EKF Prediction of COVID-19 Propagation under Vaccinations and Viral Variants (2024), Mathematics and Computers in Simulation – Cited by: 6

Distributed State Fusion Using Sparse-Grid Quadrature Filter for INS/CNS/GNSS Integration (2021), IEEE Sensors Journal – Cited by: 52