Athanasios Angeioplastis | Data Science | Best Researcher Award

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Prof. Athanasios Angeioplastis | Data Science | Best Researcher Award

PhD Candidate at IHU, Greece

Athanassios Aggioplastis is a dedicated researcher and educator with extensive experience in electrical engineering, informatics, and communications. Currently a PhD candidate at Aristotle University of Thessaloniki, he has a strong academic background and a passion for advancing knowledge in his field. With 17 years as an Informatics Teacher and 12 years of higher education teaching at the Technological Educational Institute (TEI) of Serres, he has significantly contributed to academic development. His professional experience spans over two decades as a freelancer in electrical engineering, complemented by involvement in scientific article writing and training program development for COPMED. Fluent in English (C2) and French (C1), he has the potential for international collaborations. While he has published research on athlete training program management, expanding his research impact through more high-impact publications, funded projects, and collaborations would further strengthen his academic profile and enhance his recognition in the research community.

Professional Profile 

Scopus Profile

Education

Athanassios Aggioplastis has pursued a strong academic foundation in electrical engineering and informatics. He is currently a PhD candidate at Aristotle University of Thessaloniki, specializing in Electrical and Computer Engineering. His academic journey also includes studies at the International Hellenic University in the Department of Information and Communication Engineering, further solidifying his expertise in advanced computational systems. Through his doctoral research, he is focused on developing innovative methodologies in engineering and informatics. His education has equipped him with a multidisciplinary perspective, enabling him to bridge theoretical knowledge with practical applications. With a strong commitment to lifelong learning, he continues to engage in academic and professional development, positioning himself as a knowledgeable researcher in his field. His educational background provides a robust foundation for his contributions to teaching, industry applications, and scientific research, making him a valuable member of the academic and engineering communities.

Professional Experience

Athanassios Aggioplastis has an extensive professional background spanning education, engineering, and research. With 17 years of experience as an Informatics Teacher at the 2nd General Lyceum of Serres, he has played a vital role in shaping the next generation of students in computer science. In higher education, he has contributed 12 years of teaching as both an hourly and seconded lecturer at the Technological Educational Institute (TEI) of Serres, specializing in Informatics and Communications. Alongside his academic career, he has worked for over 20 years as a freelance electrical engineer, applying his technical expertise in real-world projects. His professional experience extends to research-oriented roles, including scientific article writing and training program development for COPMED, demonstrating his ability to integrate academic knowledge with industry needs. His diverse experience highlights his versatility and dedication to both education and applied engineering solutions.

Research Interest

Athanassios Aggioplastis’s research interests lie at the intersection of electrical engineering, informatics, and applied computational systems. His work explores innovative methodologies in computer engineering, information and communication technologies, and their real-world applications. His published research on athlete training program management reflects a multidisciplinary approach, integrating technology with performance optimization. He is particularly interested in developing intelligent systems that enhance efficiency in various domains, including engineering applications, data-driven decision-making, and automation. His ongoing PhD research is expected to contribute novel insights into electrical and computer engineering. While his research portfolio is still expanding, his engagement with scientific writing and program development demonstrates a keen interest in advancing technological innovation. By broadening his research scope to include collaborative projects, high-impact publications, and funded initiatives, he has the potential to make significant contributions to the field and establish himself as a leading researcher in computational engineering.

Awards and Honors

While Athanassios Aggioplastis has built an impressive career in education and engineering, there is no documented record of significant research awards or honors in his profile. His long-standing contributions to academia, including 17 years of secondary school teaching and 12 years of higher education instruction, reflect a strong commitment to education and mentorship. His involvement in industry and scientific writing showcases his dedication to advancing knowledge and training programs. While he may not yet have received formal research accolades, his growing engagement in doctoral research and interdisciplinary applications could position him for future recognition. Participation in prestigious awards, securing research grants, and publishing in high-impact journals could enhance his academic standing and open opportunities for receiving awards. By actively contributing to the global research community and increasing his visibility in the field, he has the potential to earn accolades that reflect his expertise and contributions to electrical and computer engineering.

Conclusion

Athanassios Aggioplastis is a dedicated academic and professional with extensive experience in teaching, engineering, and research. As a PhD candidate, he is actively working to enhance his expertise in electrical and computer engineering while balancing a robust teaching career. His experience as a lecturer and secondary school educator highlights his dedication to knowledge dissemination. His research interests focus on applied informatics and computational engineering, with potential for growth in interdisciplinary collaborations. Although his current publication record and research accolades are limited, expanding his contributions through high-impact journal articles, research funding, and professional networking could significantly elevate his profile. His multilingual proficiency and industry background further position him for international research opportunities. While he is not yet a leading figure in research awards, his continuous academic and professional advancements indicate strong potential for future contributions and recognition in his field.

Publications Top Noted

  • Title: Predicting Student Performance and Enhancing Learning Outcomes: A Data-Driven Approach Using Educational Data Mining Techniques

    • Authors: Athanasios Angeioplastis, John Aliprantis, Markos Konstantakis, Alkiviadis Tsimpiris
    • Year: 2025
    • Citation: Computers 2025, 14(3), 83
    • Source: MDPI Computers Journal

  • Title: Predicting Student Specializations: A Machine Learning Approach Based on Academic Performance

    • Authors: Athanasios Angeioplastis, Nikolaos Papaioannou, Alkiviadis Tsimpiris, Angeliki Kamilali, Dimitrios Varsamis
    • Year: 2024
    • Citation: Journal of e-Learning and Knowledge Society, 20(2), 19-27
    • Source: Journal of e-Learning and Knowledge Society

  • Title: State-of-the-Art CNN Architectures for Assessing Fine Motor Skills: A Comparative Study

    • Authors: Konstantinos Strikas, Nikolaos Papaioannou, Ioannis Stamatopoulos, Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Paraskevi Giagazoglou
    • Year: 2023
    • Citation: WSEAS Transactions on Advances in Engineering Education, 20, 44-51
    • Source: WSEAS Transactions

  • Title: Parallel Feature Subset Selection Wrappers Using k-Means Classifier

    • Authors: Nikolaos Papaioannou, Alkiviadis Tsimpiris, Christos Talagozis, Leonidas Fragidis, Athanasios Angeioplastis, Sotirios Tsakiridis, Dimitrios Varsamis
    • Year: 2023
    • Citation: WSEAS Transactions on Information Science and Applications, 20, 10
    • Source: WSEAS Transactions

  • Title: Comparative Analysis of Convolutional Neural Networks for Early Diagnosis of Plant Diseases and Pests in a Multiclass Dataset

    • Authors: Nikolaos Papaioannou, Alkiviadis Tsimpiris, Aristea Kounani, Ioannis Stamatopoulos, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2023
    • Citation: International Journal of Computing and Optimization, 10(1), 41-53
    • Source: International Journal of Computing and Optimization

  • Title: Comparative Analysis of Focus Group Insights on Sports Inclusion for Individuals with Intellectual Disabilities in Italy, Bulgaria, and Ireland

    • Authors: Muhammad Farooq, Maria Grazia Pirina, Roberto Solinas, Athanasios Angeioplastis
    • Year: 2024
    • Source: ResearchGate

  • Title: A Procedure for Optimization of Placement Products in Large Industrial Areas of a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate

  • Title: A Procedure with MySQL Python for Developing Data Warehouse and Analytics Using Data from a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate

  • Title: Exploring the Intersection of Artificial Intelligence, Sport Education, and Disabilities: A Bibliometric Analysis and Future Research Predictions

    • Authors: Muhammad Farooq, Maria Grazia Pirina, Roberto Solinas, Athanasios Angeioplastis
    • Year: 2024
    • Source: ResearchGate

  • Title: Data Analysis of Student Performance on Database Course Using Orange Data Mining Software

    • Authors: Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Roberto Solinas
    • Year: 2024
    • Source: ResearchGate

  • Title: Teaching Mathematics with Educational Robotics

    • Authors: Athanasios Angeioplastis, Argyrios Koureas, Alkiviadis Tsimpiris, Roberto Solinas
    • Year: 2024
    • Source: ResearchGate

  • Title: Analytics with Oracle APEX for Enhanced Data Warehouse Management: A Case Study of a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate

  • Title: Statistical Analysis of Demographic Data and Student Performance in the Courses of the Bachelor’s Degree Program at the Department of Computer, Informatics and Telecommunications Engineering – International Hellenic University with ORACLE APEX Statistics

    • Authors: Athanasios Angeioplastis, Eleftherios Panagis, Sotirios Tsakiridis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate

  • Title: Data Analysis of Student’s Performance on “Database” Course with ORACLE APEX Statistics

    • Authors: Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Robert Leskovar
    • Year: 2023
    • Source: ResearchGate

 

 

Zhanjie Zhao | Geometry | Best Researcher Award

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Prof. Zhanjie Zhao | Geometry | Best Researcher Award

Researcher at Chinese Academy of Surverying and Mapping, China

Zhanjie Zhao, born on February 23, 1980, is an associate researcher and a key academic in the Chinese Academy of Surveying and Mapping Sciences. With a Bachelor’s degree in Surveying and Mapping Engineering from Hebei University of Technology and a Master’s in Cartography and Geographic Information Systems from Liaoning University of Engineering and Technology, he has significantly contributed to GIS, WebGIS, 3D visualization, and spatial databases. He has played a crucial role in numerous national, provincial, and ministerial research projects, securing five patents, over ten software copyrights, and contributing to eight national and industry standards. His innovations, including large-scale 3D scene management and military transportation mapping systems, have been widely applied in smart cities and disaster relief. Recognized with prestigious awards such as the National Science and Technology Progress First Prize, Zhao’s research has garnered national recognition. Further international collaboration and independent leadership roles could enhance his global impact.

Professional Profile 

Scopus Profile

Education

Zhanjie Zhao earned his Bachelor’s degree in Surveying and Mapping Engineering from Hebei University of Technology (1998–2002), where he developed a strong foundation in geospatial sciences. He further pursued a Master’s degree in Cartography and Geographic Information Systems (GIS) at Liaoning University of Engineering and Technology (2002–2005), specializing in spatial data analysis, geographic modeling, and digital cartography. His academic journey provided him with advanced knowledge in geoinformatics, positioning technologies, and GIS-based system development. This strong educational background enabled him to contribute significantly to spatial database research, 3D visualization, and WebGIS innovations. Throughout his studies, he honed his expertise in computational mapping techniques, geographic data processing, and satellite imaging applications, which later became key components of his professional work. His formal education has laid a strong foundation for his contributions to national and international projects in geographic information science, shaping his expertise in digital cartography, remote sensing, and spatial data infrastructure.

Professional Experience

Zhanjie Zhao is a distinguished associate researcher and a leading figure in the Chinese Academy of Surveying and Mapping Sciences. His professional career spans extensive research in geographic information systems (GIS), WebGIS, 3D modeling, spatial databases, and computer graphics. He has played a crucial role in major national, provincial, and ministerial research initiatives, including projects under China’s National Natural Science Foundation and the 863 Program. As a technical backbone, he has led or contributed to numerous large-scale geospatial software developments, including military transportation geographic information systems, distributed spatial databases, and satellite imaging systems. His work has directly impacted national projects related to digital cities, smart urban planning, and emergency disaster response. With more than a decade of expertise in software development and system integration, Zhao’s contributions have been instrumental in advancing China’s geospatial technologies, earning recognition from government agencies and industry leaders for his pioneering work in spatial data systems.

Research Interest

Zhanjie Zhao’s research focuses on geographic information system (GIS) theory, WebGIS, spatial databases, 3D visualization, and computer graphics. His work involves developing geospatial technologies that support smart cities, digital mapping, and real-time data processing. He is particularly interested in advancing distributed spatial database systems, 3D urban modeling, and large-scale geographic data management. His innovations in GIS software development have contributed to digital provinces, military transportation systems, and disaster response applications. Zhao also explores artificial intelligence in GIS, working on automated mapping techniques, spatial data confidentiality, and geospatial analytics for intelligent decision-making. His contributions extend to the development of new geospatial standards and methodologies that enhance digital cartography and remote sensing technologies. His research has significantly improved the efficiency of geographic data integration, spatial visualization, and multi-source geographic data fusion, making his work crucial for the modernization of digital infrastructure and intelligent urban planning initiatives.

Awards and Honors

Zhanjie Zhao has received multiple prestigious awards in recognition of his contributions to geospatial sciences. He was awarded the National Science and Technology Progress First Prize (Ranked 11th), one of the most esteemed accolades in China for scientific advancements. Additionally, he won a Provincial and Ministerial Special Prize (Ranked 2nd), three Provincial and Ministerial First Prizes (Ranked 3rd and 4th), and two Provincial and Ministerial Second Prizes (Ranked 2nd and 14th). His research excellence and technical leadership have been acknowledged through his participation in the development of eight national and industry standards and his extensive contributions to national projects. He has also been recognized as an Outstanding Young Researcher within the National Bureau of Surveying, Mapping, and Geoinformation. These accolades underscore his significant role in advancing geographic information systems, digital mapping, and large-scale 3D modeling, earning him a strong reputation in the geospatial research community.

Conclusion

Zhanjie Zhao is a highly accomplished researcher whose work in GIS, WebGIS, and spatial data technologies has had a profound impact on national and international geospatial advancements. His strong educational background, combined with his extensive professional experience, has positioned him as a leader in geographic information science. His research contributions, which include patents, software innovations, and standardization efforts, have been instrumental in advancing digital mapping, military GIS applications, and smart city developments. His numerous awards and honors highlight his exceptional technical expertise and innovation in the field. While he has achieved significant national recognition, further international collaborations and independent research leadership roles could enhance his global impact. Overall, Zhao’s research excellence and applied innovations make him a valuable asset to the geospatial technology community, and he remains a key figure in shaping the future of geographic information science and digital cartography.

Publications Top Noted

  • Title: “A DeBERTa-Based Semantic Conversion Model for Spatiotemporal Questions in Natural Language”

    • Authors: Wenjuan Lu, Dongping Ming, Xi Mao, Jizhou Wang, Zhanjie Zhao, Yao Cheng
    • Publication Year: 2025
    • Source: Applied Sciences
    • DOI: 10.3390/app15031073

  • Title: “An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure”

    • Authors: Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao
    • Publication Year: 2024
    • Source: ISPRS International Journal of Geo-Information
    • DOI: 10.3390/ijgi13100356

  • Title: “An Adaptive Construction Method of Hierarchical Spatio-Temporal Index for Vector Data under Peer-to-Peer Networks”

    • Authors: Chengming Li, Zheng Wu, Pengda Wu, Zhanjie Zhao
    • Publication Year: 2019
    • Source: ISPRS International Journal of Geo-Information
    • DOI: 10.3390/ijgi8110512

  • Title: “A Fast Quadtree-Based Terrain Crack Locating Method That Accounts for Adjacency Relationships”

    • Authors: Chengming Li, Zhanjie Zhao, Wei Sun, Zhendong Liu
    • Publication Year: 2019
    • Source: Transactions in GIS
    • DOI: 10.1111/tgis.12578

  • Title: “Smart City: A Shareable Framework and Its Applications in China”

    • Authors: Chengming Li, Xiaoli Liu, Zhaoxin Dai, Zhanjie Zhao
    • Publication Year: 2019
    • Source: Sustainability
    • DOI: 10.3390/su11164346

 

Huiyu Li | Numerical Analysis | Best Researcher Award

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Assist. Prof. Dr Huiyu Li | Numerical Analysis | Best Researcher Award

Associate Professor at Beijing Information Science & Technology University, China

Dr. Huiyu Li is an Associate Professor at the School of Instrument Science and Optoelectronics Engineering, Beijing Information Science & Technology University. He holds a Doctorate in Mechanical Engineering from the University of Stuttgart, Germany, and has a strong academic background in optics, optoelectronics, and applied physics. His research focuses on plasmonic superlenses, metasurfaces, and terahertz imaging, with significant contributions published in high-impact journals such as Optics Express and Journal of Infrared, Millimeter, and Terahertz Waves. His work on cascaded plasmonic superlenses has advanced the field of far-field super-resolution imaging. With multiple peer-reviewed publications and citations, Dr. Li has demonstrated expertise in experimental optics and nanophotonics. While he has an impressive academic profile, further leadership in funded research projects and international collaborations could strengthen his candidacy for prestigious research awards. His work holds great potential for advancing optical imaging technologies with applications in nanophotonics and high-resolution microscopy.

Professional Profile 

Scopus Profile

Education

Dr. Huiyu Li earned his Doctorate in Mechanical Engineering from the University of Stuttgart, Germany, where he specialized in optics and nanophotonics. His academic journey provided a strong foundation in applied physics, optical engineering, and computational modeling. Before his Ph.D., he obtained his Master’s and Bachelor’s degrees in related engineering fields, focusing on optical system design and precision measurement. His doctoral research explored the development of high-resolution imaging techniques using plasmonic superlenses and metasurfaces, significantly contributing to the field of super-resolution optics. Throughout his academic training, Dr. Li gained extensive experience in both theoretical and experimental aspects of optoelectronic devices, laying the groundwork for his future research in terahertz imaging and metamaterials. His education has been instrumental in equipping him with the knowledge and technical expertise to address challenges in optical imaging and photonics, making significant contributions to advanced optical technologies and nanophotonics applications.

Professional Experience

Dr. Huiyu Li is currently an Associate Professor at the School of Instrument Science and Optoelectronics Engineering, Beijing Information Science & Technology University. His academic career has been marked by extensive teaching, research, and mentorship in the fields of optics, optoelectronics, and applied physics. Prior to his current role, he gained international research experience through collaborations with leading institutions in photonics and nanotechnology. His professional journey includes hands-on work in designing and fabricating optical devices, supervising graduate students, and leading innovative research projects in optical imaging. Dr. Li has actively contributed to the scientific community by publishing high-impact research in journals like Optics Express and Journal of Infrared, Millimeter, and Terahertz Waves. Additionally, he has served as a peer reviewer for esteemed journals in optics and applied physics. His professional experience reflects a commitment to advancing scientific knowledge, fostering academic excellence, and driving technological innovations in optical engineering.

Research Interest

Dr. Huiyu Li’s research interests lie in the areas of plasmonic superlenses, metasurfaces, terahertz imaging, and advanced optical materials. His work explores the manipulation of light at the nanoscale, with a focus on enhancing imaging resolution beyond the diffraction limit using innovative photonic structures. He is particularly interested in developing high-performance optical devices that can be applied in biomedical imaging, sensing, and nanophotonic technologies. His studies on cascaded plasmonic superlenses have contributed to achieving far-field super-resolution imaging, a breakthrough with potential applications in microscopy and optical data storage. Additionally, he is engaged in research on terahertz wave propagation and its applications in security screening and non-destructive testing. Dr. Li’s multidisciplinary approach integrates theoretical modeling, experimental validation, and practical engineering, aiming to push the boundaries of optical imaging and nanophotonics while contributing to next-generation photonic technologies and high-resolution imaging systems.

Awards and Honors

Dr. Huiyu Li has received recognition for his contributions to the field of optics and photonics through various academic and professional honors. His research in plasmonic superlenses and terahertz imaging has earned accolades in international awards and peer-reviewed journals. He has been invited to present his findings at prestigious optics and photonics awards, showcasing his expertise in super-resolution imaging. Additionally, his work has been recognized with awards for excellence in research and innovation in nanophotonics. He has also served as a reviewer for leading optical science journals, further establishing his reputation in the scientific community. While he has made significant contributions to the field, securing major research grants, leading large-scale collaborative projects, or receiving fellowships from internationally recognized institutions could further elevate his standing. His dedication to advancing optical imaging technologies continues to be acknowledged through his growing impact in the fields of optoelectronics and nanophotonics.

Conclusion

Dr. Huiyu Li is a dedicated researcher and academic in the field of optics and optoelectronics, with expertise in plasmonic superlenses, metasurfaces, and terahertz imaging. His contributions to high-resolution optical imaging and nanophotonics have been recognized through numerous peer-reviewed publications and award presentations. With a strong educational background and extensive research experience, he continues to push the boundaries of optical science, exploring innovative techniques for super-resolution imaging and advanced photonic devices. While he has made significant strides in his field, further engagement in large-scale international collaborations and leadership in funded projects could enhance his global impact. His work has the potential to revolutionize applications in microscopy, biomedical imaging, and optical sensing. As an emerging leader in nanophotonics and optical engineering, Dr. Li remains committed to advancing scientific knowledge and developing cutting-edge optical technologies that address critical challenges in high-resolution imaging and optical device fabrication.

Publications Top Noted

  • Design of magnetic flux concentrator composed of nanospheres for high-sensitivity magnetometers
    Authors: Huiyu Li, Lin Zhao, Guoqing Hu, Zhehai Zhou, Guangwei Chen
    Year: 2024
    Source: Journal of Applied Physics
    Link: pubs.aip.org

  • Multilayer Metamaterials with Vertical Cavities for High-Efficiency Transmittance with Metallic Components in the Visible Spectrum
    Authors: Huiyu Li, Lin Zhao, Guangwei Chen, Guoqing Hu, Zhehai Zhou
    Year: 2024
    Source: Photonics
    Link: MDPI

  • Dual-comb soliton rains based on polarization multiplexing in a single-walled carbon nanotube mode-locked Er-doped fiber laser
    Authors: Yue Zhao, Ying Qin, Kailin Jia, Jingwen He, Zhehai Zhou
    Year: 2024
    Source: Chinese Optics Letters
    Link: ResearchGate

  • High-Resolution Near-Infrared Micro-Spectrometer With Dual Gratings and a Cylindrical Lens
    Authors: Jingyi Wu, Zhehai Zhou, Shuang Zhao, Kunlong Min, Huiyu Li
    Year: 2024
    Source: Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
    Link: ResearchGate

 

 

Ioan Stancu-MInasian | Operations Research | Best Researcher Award

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Prof. Dr. Ioan Stancu-MInasian | Operations Research | Best Researcher Award

Main Research Worker at “Gheorghe Mihoc-Caius Iacob” Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy, Romania

Prof. Ioan M. Stancu-Minasian was a distinguished Romanian mathematician renowned for his contributions to optimization theory, operations research, and mathematical programming. With a prolific academic career, he authored numerous influential research papers and books that advanced the field of mathematical optimization. His work played a crucial role in developing new methodologies and theoretical frameworks in linear and nonlinear programming, duality theory, and multi-objective optimization. A dedicated educator and researcher, he mentored many students and collaborated with international scholars, significantly impacting the global mathematical community. His research was widely recognized, earning him prestigious accolades and positions in leading mathematical societies. Through his groundbreaking work, Prof. Stancu-Minasian left an enduring legacy that continues to influence modern mathematical research and its applications across various disciplines, including economics, engineering, and decision sciences. His dedication to advancing mathematical knowledge remains an inspiration for future generations of researchers and scholars.

Professional Profile 

ORCID Profile

Education

Prof. Ioan M. Stancu-Minasian received his formal education in mathematics from a prestigious Romanian university, where he developed a strong foundation in mathematical analysis, optimization, and operations research. His academic journey was marked by excellence, earning advanced degrees, including a Ph.D., with a focus on optimization theory and mathematical programming. Throughout his studies, he was deeply influenced by leading mathematicians and engaged in rigorous research that laid the groundwork for his future contributions to the field. His academic training equipped him with the analytical skills and theoretical insights necessary to develop innovative methodologies in optimization. His education was further enriched through international collaborations, awards, and advanced training programs, allowing him to stay at the forefront of mathematical advancements. His commitment to lifelong learning and academic excellence positioned him as a leading expert in optimization theory, setting the stage for a prolific research and teaching career that spanned several decades.

Professional Experience

Prof. Ioan M. Stancu-Minasian had a distinguished professional career, serving as a professor and researcher in esteemed academic institutions. His tenure included positions at top Romanian universities and research institutes, where he played a pivotal role in advancing the study of optimization and operations research. He contributed significantly to curriculum development, mentoring students, and fostering research collaborations both nationally and internationally. Beyond academia, he actively participated in mathematical societies, editorial boards of prestigious journals, and international awards, where he shared his expertise and insights. His professional engagements also included collaborative projects with industry and government agencies, applying mathematical optimization techniques to solve real-world problems in economics, engineering, and decision sciences. As a visiting professor and guest lecturer, he enriched the academic community globally, influencing scholars and researchers worldwide. His unwavering dedication to the mathematical sciences cemented his reputation as a leader in the field, shaping future generations of mathematicians.

Research Interest

Prof. Ioan M. Stancu-Minasian’s research interests were centered on optimization theory, operations research, and mathematical programming. His work encompassed linear and nonlinear programming, duality theory, and multi-objective optimization, contributing to both theoretical advancements and practical applications. He was particularly interested in the development of new optimization models that addressed complex decision-making problems in economics, engineering, and applied sciences. His research extended to fractional programming, stochastic optimization, and parametric programming, where he introduced novel methodologies that influenced contemporary mathematical studies. A prolific author, he published extensively in high-impact journals and authored several books that became fundamental resources for researchers and students alike. His interdisciplinary approach allowed him to collaborate with experts from diverse fields, broadening the scope and impact of his work. His research not only advanced mathematical theory but also provided practical solutions to real-world optimization challenges, making a lasting contribution to the global scientific community.

Awards and Honors

Prof. Ioan M. Stancu-Minasian received numerous awards and honors in recognition of his outstanding contributions to mathematics and optimization theory. His groundbreaking research earned him accolades from prestigious mathematical societies, research institutions, and academic organizations. He was honored with distinguished awards for his work in mathematical programming and operations research, highlighting his influence in advancing the field. His contributions were recognized through honorary memberships in scientific academies, invitations to deliver keynote lectures at international awards, and editorial positions in leading mathematical journals. His achievements also included prestigious research grants and fellowships that supported his pioneering work. The recognition he received reflected not only his individual accomplishments but also his broader impact on mathematical sciences and applied research. His legacy continues to be celebrated through citations of his work, academic honors, and the ongoing influence of his research in optimization theory and its applications in various domains.

Conclusion

Prof. Ioan M. Stancu-Minasian was a visionary mathematician whose contributions to optimization theory and operations research left an indelible mark on the field. Through his extensive research, influential publications, and dedication to education, he shaped the study of mathematical programming and inspired countless students and researchers. His interdisciplinary approach and commitment to solving real-world optimization problems cemented his reputation as a leading expert in applied mathematics. His legacy extends beyond his academic achievements, as his work continues to be referenced and built upon by future generations. His dedication to fostering mathematical knowledge and international collaboration strengthened the global research community, making his influence enduring and far-reaching. Prof. Stancu-Minasian’s lifetime of contributions serves as an inspiration, reminding us of the profound impact that mathematical research can have on science, technology, and society. His work remains a cornerstone in optimization theory, ensuring his place among the most respected figures in the mathematical sciences.

Publications Top Noted

  1. Fractional Programming

    • Authors: I.M. Stancu-Minasian
    • Year: 1997
    • Publisher: Springer Netherlands
    • ISBN: 9789401065047
    • Source:
      scholargps.com

  2. Fractional Programming: Theory, Methods and Applications

    • Authors: I.M. Stancu-Minasian
    • Year: 2012
    • Publisher: Springer Science & Business Media
    • Source:
      scholar.google.com

Selected Articles:

  1. Stochastic Multiobjective Optimization: Sample Average Approximation and Applications

    • Authors: Neelima Shekhawat, Ioan Stancu-Minasian, Vivek Singh
    • Year: 2025
    • Journal: Journal of Multi-Criteria Decision Analysis
    • Source:
      Wiley Online Library

  2. A Compromise Solution Method for the Multiobjective Minimum Risk Problem

    • Authors: Fatima Bellahcene, Philippe Marthon
    • Year: 2021
    • Journal: Operational Research
    • Source:
      RePEc Ideas

  3. On Interval-Valued Vector Variational-Like Inequalities and Vector Optimization Problems

    • Authors: Balendu Bhooshan Upadhyay, Ioan Stancu-Minasian, Subham Poddar, Priyanka Mishra
    • Year: 2023
    • Journal: Mathematical Foundations of Computing
    • Source:
      aimsciences.org

 

Mohammad Habibi | Graph Theory | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Habibi | Graph Theory | Best Researcher Award

Faculty staff at Tafresh University, Iran

Dr. Mohammad Habibi is a distinguished mathematician specializing in non-commutative algebra, algebraic graph theory, and mathematical chemistry. He earned his Ph.D. in Pure Mathematics from Tarbiat Modares University, ranking first in the entrance exam. Currently a faculty member at Tafresh University, he has held multiple administrative roles, including Vice-Chancellor for Finance and Resource Management. With an Erdős number of 3, Dr. Habibi has published approximately 50 research papers in reputable international journals, contributing significantly to algebraic structures, ring theory, and graph theory. He has supervised numerous undergraduate, master’s, and Ph.D. students, fostering academic growth in his field. His research spans skew polynomial rings, topological indices, and machine learning applications in computer science. Beyond academia, he is an accomplished lecturer, skilled in LaTeX and Python, with expertise in over 15 mathematical courses. His scholarly achievements and leadership roles make him a notable figure in contemporary mathematical research.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile 

Education

Dr. Mohammad Habibi obtained his Ph.D. in Pure Mathematics from Tarbiat Modares University, where he ranked first in the entrance exam, demonstrating his exceptional academic capabilities. His doctoral research focused on non-commutative algebra, particularly in algebraic structures and their applications in mathematical chemistry. Prior to his Ph.D., he completed his Master’s and Bachelor’s degrees in mathematics, consistently excelling in his studies. His strong educational foundation provided him with the necessary expertise to delve into advanced topics in algebra, graph theory, and computational mathematics. Throughout his academic journey, he actively participated in research projects and seminars, sharpening his analytical skills and broadening his mathematical insight. His rigorous training in pure mathematics has enabled him to contribute significantly to algebraic graph theory, ring theory, and topological indices. Dr. Habibi’s academic excellence has been instrumental in shaping his research career and establishing him as a leading mathematician in his field.

Professional Experience

Dr. Mohammad Habibi is a faculty member at Tafresh University, where he has played a crucial role in both teaching and administration. His academic journey includes serving as Vice-Chancellor for Finance and Resource Management, a position that highlights his leadership and strategic planning abilities. He has extensive experience in lecturing undergraduate and postgraduate students, covering over 15 mathematical courses, including algebra, graph theory, and mathematical modeling. His professional contributions extend beyond teaching, as he has actively supervised numerous master’s and Ph.D. students, guiding them in cutting-edge research. Dr. Habibi has also been involved in multiple academic committees, playing a key role in curriculum development and institutional growth. His collaborations with international researchers and participation in prestigious awards further demonstrate his commitment to academic excellence. With a strong administrative and academic background, he continues to shape the next generation of mathematicians while advancing research in his areas of expertise.

Research Interest

Dr. Mohammad Habibi’s research interests span non-commutative algebra, algebraic graph theory, mathematical chemistry, and computational mathematics. He has made significant contributions to ring theory, skew polynomial rings, and topological indices, exploring their applications in various scientific disciplines. His work also extends to machine learning and artificial intelligence, integrating mathematical principles with computational algorithms. His research in algebraic structures has provided valuable insights into the connections between graph theory and abstract algebra, leading to novel discoveries in mathematical chemistry. He has authored approximately 50 research papers in high-impact international journals, showcasing his expertise and influence in the mathematical community. His interdisciplinary approach enables him to apply theoretical mathematics to real-world problems, particularly in computer science and complex networks. Dr. Habibi’s ability to bridge pure and applied mathematics has positioned him as a leading researcher, continually pushing the boundaries of knowledge in his field.

Awards and Honors

Dr. Mohammad Habibi has received numerous accolades throughout his career, recognizing his academic and research excellence. He holds an Erdős number of 3, a prestigious mathematical distinction that underscores his collaboration with highly esteemed researchers. His exceptional performance in academia was evident early on when he ranked first in the entrance exam for his Ph.D. program at Tarbiat Modares University. Additionally, he has been honored for his research contributions, with multiple awards for outstanding publications in algebra, graph theory, and mathematical chemistry. His leadership roles at Tafresh University, including his tenure as Vice-Chancellor, further highlight his achievements in academia and administration. Dr. Habibi’s active participation in international awards, research collaborations, and editorial board memberships has earned him recognition from the global mathematical community. His dedication to advancing mathematical knowledge and mentoring students has solidified his reputation as a highly respected scholar and educator.

Conclusion

Dr. Mohammad Habibi is a distinguished mathematician whose contributions to non-commutative algebra, algebraic graph theory, and mathematical chemistry have had a profound impact on the field. With a strong academic background, extensive professional experience, and a passion for research, he has established himself as a leading expert in pure and applied mathematics. His role as a faculty member, mentor, and administrator has shaped the academic landscape at Tafresh University and beyond. Through his extensive publications, interdisciplinary collaborations, and dedication to education, he continues to influence the next generation of mathematicians. His Erdős number of 3 and numerous accolades further attest to his outstanding contributions. Dr. Habibi’s work in integrating mathematical theories with computational applications positions him as a forward-thinking researcher, continuously pushing the boundaries of knowledge. His legacy as a scholar, educator, and innovator ensures that his impact on mathematics will endure for years to come.

Publications Top Noted

  • The Inclusion Ideal Graph of Rings

    • Authors: S. Akbari, M. Habibi, A. Majidinya, R. Manaviyat
    • Year: 2015
    • Citations: 48
    • Source: Communications in Algebra, 43(6), 2457-2465

  • The McCoy Condition on Ore Extensions

    • Authors: M. Habibi, A. Moussavi, A. Alhevaz
    • Year: 2013
    • Citations: 35
    • Source: Communications in Algebra, 41(1), 124-141

  • On Rings Having McCoy-like Conditions

    • Authors: A. Alhevaz, A. Moussavi, M. Habibi
    • Year: 2012
    • Citations: 31
    • Source: Communications in Algebra, 40(4), 1195-1221

  • A Note on Comaximal Graph of Non-commutative Rings

    • Authors: S. Akbari, M. Habibi, A. Majidinya, R. Manaviyat
    • Year: 2013
    • Citations: 30*
    • Source: Journal of Algebras and Representation Theory, 16(2), 303-307

  • Zagreb Indices of Trees, Unicyclic and Bicyclic Graphs with Given (Total) Domination

    • Authors: D. A. Mojdeh, M. Habibi, L. Badakhshian, Y. Rao
    • Year: 2019
    • Citations: 27
    • Source: IEEE Access, 7, 94143-94149

  • On the Idempotent Graph of a Ring

    • Authors: S. Akbari, M. Habibi, A. Majidinya, R. Manaviyat
    • Year: 2013
    • Citations: 27
    • Source: Journal of Algebra and its Applications, 12(06), 1350003

  • On Skew Armendariz of Laurent Series Type Rings

    • Authors: M. Habibi, A. Moussavi, S. Mokhtari
    • Year: 2012
    • Citations: 18
    • Source: Communications in Algebra, 40(11), 3999-4018

  • Clean Graph of a Ring

    • Authors: M. Habibi, E. Yetkın Çelikel, C. Abdıoğlu
    • Year: 2021
    • Citations: 17
    • Source: Journal of Algebra and Its Applications, 20(09), 2150156

  • On the Inclusion Ideal Graph of a Ring

    • Authors: S. Akbari, M. Habibi, A. Majidinya, R. Manaviyat
    • Year: 2014
    • Citations: 15
    • Source: Electronic Notes in Discrete Mathematics, 45, 73-78

 

Marwa Mansour | Topology | Best Researcher Award

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Dr. Marwa Mansour | Topology | Best Researcher Award

Researcher at Electronics Research Institute (ERI), Egypt

Dr. Marwa Mansour is a dedicated researcher in the Microelectronics Department at the Electronics Research Institute (ERI) in Cairo, Egypt. With a Ph.D. in Electronics and Communications Engineering from Ain Shams University, her expertise lies in RF transceiver design using CMOS technology and energy harvesting systems. Her research spans active and passive circuit designs, including power amplifiers, voltage-controlled oscillators, low-noise amplifiers, mixers, and phase-locked loops, with applications in 5G and millimeter-wave communications. She has collaborated on projects at the American University in Cairo and ERI, contributing to advancements in CMOS technology. Dr. Mansour has an extensive publication record in high-impact journals and IEEE awards, reflecting her significant contributions to the field. She is proficient in circuit and electromagnetic simulation tools like Cadence, ADS, HFSS, and CST Microwave Studio. With strong technical acumen and collaborative skills, she continues to push the boundaries of RF and energy-efficient electronic design.

Professional Profile 

Scopus Profile
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Education

Dr. Marwa Mansour earned her Ph.D. in Electronics and Communications Engineering from Ain Shams University, Egypt, where she specialized in RF transceiver design using CMOS technology. Her academic journey was marked by a strong foundation in microelectronics, circuit design, and wireless communication systems. She completed her master’s and bachelor’s degrees at the same institution, focusing on semiconductor devices, analog and digital circuit design, and energy-efficient electronics. Throughout her education, she demonstrated exceptional analytical and problem-solving skills, leading to her expertise in developing high-performance RF and millimeter-wave circuits. Her doctoral research significantly contributed to advancements in energy harvesting and low-power transceiver designs, making her a recognized expert in the field. With a commitment to lifelong learning, she has attended various technical workshops and advanced training programs to stay updated on emerging trends in microelectronics, solidifying her position as a leading researcher in CMOS-based RF system design.

Professional Experience

Dr. Marwa Mansour is a researcher in the Microelectronics Department at the Electronics Research Institute (ERI) in Cairo, Egypt. She has worked extensively on RF circuit design, CMOS technology, and energy harvesting systems, contributing to cutting-edge advancements in microelectronics. She has collaborated with the American University in Cairo on multiple research projects, focusing on integrated circuit design and high-frequency applications. Her role at ERI involves designing, simulating, and fabricating RF transceivers, power amplifiers, mixers, and low-noise amplifiers for 5G and millimeter-wave communication systems. She is proficient in industry-standard tools such as Cadence, ADS, HFSS, and CST Microwave Studio, which she employs in her research. Dr. Mansour has also mentored students and young researchers, sharing her knowledge and expertise in semiconductor technology and RF circuit design. Her contributions have not only advanced ERI’s research capabilities but have also strengthened Egypt’s presence in the global microelectronics research community.

Research Interest

Dr. Marwa Mansour’s research interests focus on RF transceiver design, energy-efficient electronic systems, and CMOS-based microelectronics. She specializes in the development of active and passive RF circuits, including power amplifiers, voltage-controlled oscillators, low-noise amplifiers, and phase-locked loops. Her work extends to energy harvesting technologies, aiming to enhance the sustainability and efficiency of wireless communication systems. She is particularly interested in millimeter-wave and 5G applications, exploring innovative circuit design techniques to improve performance and power efficiency. Dr. Mansour is also engaged in antenna-integrated CMOS systems, leveraging her expertise in electromagnetic simulation and circuit optimization. Her interdisciplinary research combines circuit design, signal processing, and semiconductor physics, driving advancements in high-frequency communication technologies. With a passion for innovation, she continuously explores new frontiers in RF and microwave engineering, aiming to contribute to the development of next-generation wireless systems and energy-autonomous electronic devices.

Awards and Honors

Dr. Marwa Mansour has received several awards and recognitions for her contributions to RF and CMOS circuit design. She has been honored for her research publications in high-impact journals and IEEE awards, showcasing her expertise in RF microelectronics. She has also been a recipient of research grants and fellowships that have supported her work in energy-efficient RF system development. Her collaborations with prestigious institutions like the American University in Cairo have further highlighted her excellence in the field. Dr. Mansour has been recognized for her role in mentoring students and young researchers, contributing to knowledge dissemination in microelectronics and RF engineering. She has actively participated in international awards, where she has received accolades for her innovative research presentations. Her outstanding contributions to circuit design and energy harvesting technologies continue to earn her recognition as a leading researcher in the field of RF and wireless communication systems.

Conclusion

Dr. Marwa Mansour is a highly skilled researcher in RF transceiver design, CMOS technology, and energy-efficient electronic systems. With a strong academic background, she has made significant contributions to microelectronics, particularly in developing advanced RF circuits for 5G and millimeter-wave applications. Her professional experience at the Electronics Research Institute (ERI) and collaborations with leading institutions reflect her expertise and dedication to advancing wireless communication technologies. Through her research in energy harvesting and low-power transceiver design, she continues to address critical challenges in RF and microwave engineering. Recognized for her academic and professional excellence, she has received multiple awards and honors for her contributions to the field. Dr. Mansour’s passion for innovation and mentorship further solidifies her role as a leader in the microelectronics research community. With her continued efforts, she remains at the forefront of cutting-edge RF system design and the future of energy-efficient wireless technologies.

Publications Top Noted

  • A mm‐Wave Power VCO and Frequency Doubler Based on Class‐C Architecture Using 130 nm CMOS Technology

    • Authors: Marwa Mansour, Islam Mansour
    • Year: 2025
    • Source: International Journal of Circuit Theory and Applications

  • Battery‐free ultra‐low‐power radio‐frequency receiver for mm‐wave applications using 130‐nm CMOS technology with harvested DC supplies

    • Authors: Marwa Mansour, Islam Mansour
    • Year: 2024
    • Source: International Journal of Circuit Theory and Applications

  • Comprehensive study of Class‐E/F2 and inverse Class‐F power amplifiers for mm‐Wave systems utilizing 130 nm CMOS process

    • Authors: Marwa Mansour, Islam Mansour
    • Year: 2024
    • Source: International Journal of Circuit Theory and Applications

  • Comprehensive review and study for the CMOS transformer tank voltage‐controlled oscillator

    • Authors: Marwa Mansour, Islam Mansour
    • Year: 2024
    • Source: International Journal of Circuit Theory and Applications

  • Low-Power Energy Harvesting Voltage Doubler Using CTLs Based on Inverse Class-F Configuration Compatible with Fifth Generation

    • Authors: Marwa Mansour
    • Year: 2024
    • Source: Circuits, Systems, and Signal Processing

  • A mm-Wave Radio Frequency Power Amplifier based on Transformers Coupling and 2nd Harmonic Termination Network using 130 nm CMOS Technology for 5G Applications

    • Authors: Mina Kamal, Marwa Mansour, Sherif Hekal, Abdelhalim Zekry
    • Year: 2023
    • Source: Preprint

  • Class‐F power oscillator based on complementary split ring resonator for sub‐6 GHz fifth generation and multistandard applications

    • Authors: Marwa Mansour, Islam Mansour, Mohamed Aboualalaa
    • Year: 2023
    • Source: International Journal of Circuit Theory and Applications

  • A 2 × 2 Array Antenna for Multi-band Energy Harvesting for Biomedical Sensing Applications

    • Authors: Nebras Sobahi, Reda Ghoname, Marwa Mansour, Abdelhalim Zekry
    • Year: 2022
    • Source: Book Chapter

  • K-band low phase noise Class-C VCOs using DGS inductor in CMOS technology

    • Authors: Islam Mansour, Marwa Mansour, Mohamed Aboualalaa
    • Year: 2022
    • Source: Microelectronics Journal

 

Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

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Prof. Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

Professor at Transilvania University of Brasov, Romania

Prof. Sorin Vlase is a distinguished researcher and full professor at Transilvania University of Brasov, Romania, specializing in Mechanics, Computational Mechanics, Finite Element Method, and Multibody Systems. With an academic career spanning nearly five decades, he has made significant contributions to mechanical engineering and applied mathematics. He has served as the head of multiple departments, organized prestigious international awards, and led over 15 scientific projects while participating in more than 50. His extensive publication record includes 244 ISI-indexed papers, 21 books, and numerous award proceedings. He has played a key role in advancing computational mechanics, composite materials, and automotive engineering, securing national and international research grants, including NATO-funded projects. His expertise is recognized through his editorial contributions, scientific committee memberships, and honorary professor titles. Prof. Vlase’s work continues to impact the global research community, making him a strong candidate for recognition as a leading researcher in his field.

Professional Profile 

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Education

Prof. Sorin Vlase has a strong academic background in mechanical engineering and applied mathematics. He earned his B.Sc. and M.Sc. in Mechanical Engineering with a specialization in Automotive Engineering from Transilvania University of Brasov (1971–1976). In addition, he pursued a degree in mathematics from the University of Bucharest (1977–1982), further strengthening his analytical expertise. He obtained his Ph.D. from Transilvania University of Brasov in 1989, focusing on advanced computational mechanics. His academic journey culminated in a Habilitation in Automotive Engineering in 2015, allowing him to mentor doctoral students. His multidisciplinary education has played a crucial role in shaping his expertise in mechanics, computational analysis, and finite element methods, making him a highly respected scholar in his field. Throughout his academic career, he has been associated with Transilvania University, significantly contributing to its research and educational framework through his teaching, mentorship, and leadership in various scientific projects.

Professional Experience

Prof. Vlase has had an extensive professional career, primarily at Transilvania University of Brasov, where he has been a faculty member since 1980. His career progression includes roles as an Assistant Professor (1980–1984), Lecturer (1984–1991), Associate Professor (1991–1996), and Full Professor (1996–present). He also served as the Head of the Department of Mechanics (2004–2011), Head of the Department of Automotive Engineering and Mechanics (2011–2012), and Head of the Department of Mechanical Engineering (2012–2020). Prior to joining academia, he worked as a research engineer at the Automotive Research Institute and ROMAN SA Brasov (1976–1980), gaining valuable industry experience. His expertise spans mechanical stability, numerical methods, kinematics, and dynamics of multibody systems. Additionally, he has organized numerous international awards and contributed to over 50 scientific projects, demonstrating his leadership and commitment to advancing mechanical engineering and applied sciences.

Research Interests

Prof. Vlase’s research is centered on Mechanics, Computational Mechanics, Finite Element Method, Vibrations, and Multibody Systems. His interdisciplinary approach integrates mathematical modeling, numerical simulations, and experimental mechanics, with applications in automotive engineering and composite materials. He has made significant contributions to computational analysis, particularly in the dynamic behavior of mechanical structures. His work also explores nonlinear analysis, virtual prototyping, and the optimization of mechanical systems. His research extends to white noise in urban environments and mechanical identifiability in automotive engineering, reflecting his ability to bridge theoretical research with real-world applications. His leadership in national and international research grants, including NATO-funded projects, underscores his influence in the field. Through his extensive publication record, including books, journal articles, and award proceedings, he continues to contribute to the development of cutting-edge technologies in engineering and applied mechanics.

Awards and Honors

Prof. Sorin Vlase has been widely recognized for his contributions to mechanical engineering and computational mechanics. He has received numerous accolades for his research, teaching, and leadership in the scientific community. He was awarded an Honorary Professorship at Ovidius University in Constanta, a testament to his influence in academia. He has served as an editor for 15 scientific publications and has been a key organizer of several prestigious international awards, including the Computational Mechanics and Virtual Engineering (COMEC) series and the Advanced Composite Materials Engineering (COMAT) awards. His research excellence has been acknowledged through multiple national and international grants, including NATO-sponsored projects. His role as a principal investigator in over 15 projects and a participant in more than 50 research initiatives further highlights his impact. Prof. Vlase’s commitment to advancing the field of mechanics has earned him a distinguished reputation in the global academic community.

Conclusion

Prof. Sorin Vlase is a highly accomplished researcher, educator, and leader in the fields of mechanics, computational analysis, and automotive engineering. His academic journey, spanning decades, has been marked by significant contributions to research, teaching, and scientific collaboration. With over 244 ISI-indexed papers, 21 books, and leadership in numerous research projects, he has left a lasting impact on engineering sciences. His interdisciplinary expertise, bridging mechanical engineering and applied mathematics, has led to innovative solutions in computational mechanics and material science. His role in organizing international awards and securing competitive research grants further underscores his dedication to advancing scientific knowledge. Recognized through prestigious awards and honorary titles, Prof. Vlase continues to shape the future of mechanical engineering. His extensive contributions make him a strong candidate for any distinguished research award, reflecting his outstanding achievements in academia, research, and professional service.

Publications Top Noted

  • Title: On the partition of energies for the backward in time problem of thermoelastic materials with a dipolar structure
    Authors: M. Marin, S. Vlase, R. Ellahi, M.M. Bhatti
    Year: 2019
    Citations: 127
    Source: Symmetry, 11(7), 863

  • Title: Motion equation for a flexible one-dimensional element used in the dynamical analysis of a multibody system
    Authors: S. Vlase, M. Marin, A. Öchsner, M.L. Scutaru
    Year: 2019
    Citations: 122
    Source: Continuum Mechanics and Thermodynamics, 31, 715-724

  • Title: Improved rigidity of composite circular plates through radial ribs
    Authors: C. Itu, A. Öchsner, S. Vlase, M.I. Marin
    Year: 2019
    Citations: 115
    Source: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

  • Title: New analytical method based on dynamic response of planar mechanical elastic systems
    Authors: M.L. Scutaru, S. Vlase, M. Marin, A. Modrea
    Year: 2020
    Citations: 113
    Source: Boundary Value Problems, 2020, 1-16

  • Title: A method for the study of the vibration of mechanical bars systems with symmetries
    Authors: S. Vlase, C. Năstac, M. Marin, M. Mihălcică
    Year: 2017
    Citations: 107
    Source: Acta Technica Napocensis-Series: Applied Mathematics, Mechanics, and Engineering

  • Title: Considerations on double porosity structure for micropolar bodies
    Authors: M. Marin, S. Vlase, M. Paun
    Year: 2015
    Citations: 107
    Source: AIP Advances, 5(3)

  • Title: On mixed problem in thermoelasticity of type III for Cosserat media
    Authors: M. Marin, A. Seadawy, S. Vlase, A. Chirila
    Year: 2022
    Citations: 100
    Source: Journal of Taibah University for Science, 16(1), 1264-1274

  • Title: On the decay of exponential type for the solutions in a dipolar elastic body
    Authors: M. Marin, R. Ellahi, S. Vlase, M.M. Bhatti
    Year: 2020
    Citations: 95
    Source: Journal of Taibah University for Science, 14(1), 534-540

  • Title: Coupled transverse and torsional vibrations in a mechanical system with two identical beams
    Authors: S. Vlase, M. Marin, M.L. Scutaru, R. Munteanu
    Year: 2017
    Citations: 95
    Source: AIP Advances, 7(6)

  • Title: Effect of microtemperatures for micropolar thermoelastic bodies
    Authors: M. Marin, D. Baleanu, S. Vlase
    Year: 2017
    Citations: 88
    Source: Structural Engineering and Mechanics, 61(3), 381-387

  • Title: Homogenization and averaging methods to predict elastic properties of pre-impregnated composite materials
    Authors: H. Teodorescu-Draghicescu, S. Vlase
    Year: 2011
    Citations: 88
    Source: Computational Materials Science, 50(4), 1310-1314

  • Title: Finite element method analysis of some fibre-reinforced composite laminates
    Authors: H. Teodorescu-Draghicescu, A. Stanciu, S. Vlase, L. Scutaru, M.R. Calin
    Year: 2011
    Citations: 78
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5(7), 782-785

  • Title: A method of eliminating Lagrangian multipliers from the equation of motion of interconnected mechanical systems
    Authors: S. Vlase
    Year: 1987
    Citations: 76
    Source: Not available

  • Title: Hysteresis effect in a three-phase polymer matrix composite subjected to static cyclic loadings
    Authors: H. Teodorescu-Draghicescu, S. Vlase, L. Scutaru, L. Serbina, M.R. Calin
    Year: 2011
    Citations: 74
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5 (March 2011)

  • Title: Influence of B4C and industrial waste fly ash reinforcement particles on the microstructural characteristics and mechanical behavior of aluminium (Al–Mg–Si-T6) hybrid metal matrix composites
    Authors: M.S. Kumar, M. Vasumathi, S.R. Begum, S.M. Luminita, S. Vlase, C.I. Pruncu
    Year: 2021
    Citations: 61
    Source: Journal of Materials Research and Technology, 15, 1201-1216

  • Title: Behavior of multiphase fiber-reinforced polymers under short time cyclic loading
    Authors: S. Vlase, H. Teodorescu-Draghicescu, D.L. Motoc, M.L. Scutaru, L. Serbina
    Year: 2011
    Citations: 59
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5, 419-423

  • Title: Mechanical behavior of CSM450 and RT800 laminates subjected to four-point bend tests
    Authors: A. Stanciu, H. Teodorescu-Drăghicescu, S. Vlase, M.L. Scutaru, M.R. Cǎlin
    Year: 2012
    Citations: 58
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 6 (March-April 2012)

  • Title: Advanced pultruded glass fibers-reinforced isophtalic polyester resin
    Authors: H. Teodorescu-Draghicescu, S. Vlase, M.D. Stanciu, I. Curtu, M. Mihalcica
    Year: 2015
    Citations: 56
    Source: Mater. Plast, 52(1), 62-64

  • Title: Properties of advanced new materials used in automotive engineering
    Authors: A. Modrea, S. Vlase, H. Teodorescu-Draghicescu, M. Mihalcica, M.R. Calin
    Year: 2013
    Citations: 55
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 7 (May-June 2013)

  • Title: Simulation of the elastic properties of some fiber-reinforced composite laminates under off-axis loading system
    Authors: S. Vlase, H. Teodorescu-Draghicescu, M.R. Calin, L. Serbina
    Year: 2011
    Citations: 55
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5 (April 2011)

 

Ran Zhang | Applied Mathematics | Best Researcher Award

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Dr. Ran Zhang | Applied Mathematics | Best Researcher Award

Researcher at Nanjing University of Posts and Telecommunications, China

Ran Zhang is a dedicated researcher specializing in differential operator spectrum theory and inverse problems, with a strong academic record and impactful contributions to mathematical analysis. He has published extensively in prestigious journals such as Journal of Differential Equations, Applied Mathematics Letters, and Mathematical Methods in Applied Sciences, addressing critical problems in Sturm-Liouville operators, Dirac systems, and inverse spectral analysis. As the host of national research projects, including those funded by the National Natural Science Foundation of China and Jiangsu Provincial Natural Science Foundation of China, he has demonstrated leadership in advancing theoretical mathematics. His work has significant implications for mathematical physics and engineering applications. While already an accomplished researcher, expanding into applied interdisciplinary domains and increasing global collaborations could further enhance his influence. With a strong foundation in theoretical and computational approaches, Ran Zhang continues to push the boundaries of mathematical research, making him a valuable contributor to the field.

Professional Profile

Scopus Profile
ORCID Profile

Education

Ran Zhang has established a strong academic foundation in mathematics, particularly in differential operator spectrum theory and inverse problems. His educational journey has been marked by rigorous training in advanced mathematical techniques, equipping him with the analytical and computational skills necessary for solving complex problems in spectral analysis. Throughout his academic career, he has specialized in inverse problems, Sturm-Liouville operators, and Dirac systems, which are fundamental to mathematical physics and engineering applications. His deep understanding of functional analysis and operator theory has enabled him to contribute innovative solutions to long-standing mathematical challenges. His education has been further enriched through collaborations with esteemed mathematicians and participation in high-level mathematical research projects. This solid academic background has laid the groundwork for his contributions to the field, positioning him as a leading researcher in spectral theory and inverse problems.

Professional Experience

Ran Zhang has built an impressive professional career focused on mathematical research and inverse spectral analysis. As a host of research projects funded by the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation of China, he has played a pivotal role in advancing theoretical mathematics. His work has been recognized in esteemed mathematical journals, reflecting the high impact of his research in spectral theory, Sturm-Liouville operators, and discontinuous differential equations. He has actively contributed to solving complex mathematical challenges and has worked closely with research teams, collaborating with renowned mathematicians across institutions. His experience extends beyond academia, as his research has potential applications in engineering, quantum mechanics, and applied physics. His ability to bridge theoretical mathematics with practical applications makes him a distinguished figure in the field. As he progresses in his career, expanding into interdisciplinary research and mentoring young mathematicians could further solidify his professional legacy.

Research Interest

Ran Zhang’s primary research interest lies in differential operator spectrum theory and its inverse problems, focusing on Sturm-Liouville operators, Dirac systems, and inverse spectral analysis. His work explores the uniqueness, reconstruction, and solvability of inverse problems, often dealing with differential operators that exhibit discontinuities. He is particularly interested in solving inverse nodal and resonance problems, which have profound implications in mathematical physics, quantum mechanics, and engineering applications. His research also extends to periodic and impulsive differential equations, addressing their spectral properties and reconstruction techniques. By developing new mathematical models and analytical methods, he aims to enhance the theoretical understanding of inverse problems while providing practical solutions for computational mathematics. His contributions to spectral theory play a vital role in advancing numerical methods and mathematical modeling, further strengthening the connection between pure and applied mathematics. His future research aims to expand into multidisciplinary applications, fostering collaborations across physics, engineering, and computational sciences.

Awards and Honors

Ran Zhang’s research excellence has been recognized through several prestigious honors and awards. As the recipient of funding from the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation of China, he has demonstrated his ability to lead impactful research projects. His published works in top-tier mathematical journals, such as the Journal of Differential Equations, Applied Mathematics Letters, and Mathematical Methods in Applied Sciences, underscore his significant contributions to spectral theory and inverse problems. His research achievements have also been acknowledged through collaborations with internationally renowned mathematicians, highlighting his growing influence in the mathematical community. His ability to solve complex problems in spectral analysis has positioned him as a leading researcher in the field. With an increasing number of citations and recognition from the global mathematics community, Ran Zhang continues to make substantial contributions that are shaping modern mathematical research.

Conclusion

Ran Zhang is a distinguished researcher whose work in differential operator spectrum theory and inverse problems has made a profound impact on mathematical sciences. His strong academic background, extensive research experience, and leadership in national research projects position him as a key figure in mathematical analysis. His research has provided significant advancements in spectral theory, Sturm-Liouville operators, and inverse nodal problems, which are crucial for engineering, quantum mechanics, and mathematical physics. While he has already gained significant recognition, expanding his work into interdisciplinary applications and international collaborations could further elevate his influence. His commitment to mathematical innovation, coupled with his problem-solving skills and dedication to research, ensures that he will continue to contribute valuable insights to the field. As he moves forward, his work will likely shape the future of spectral analysis, making lasting contributions to both theoretical and applied mathematics.

Publications Top Noted

  • Title: Inverse spectral problems for the Dirac operator with complex-valued weight and discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang, Natalia P. Bondarenko
    Year: 2021
    Citation: Journal of Differential Equations, 278: 100-110
    Source: Journal of Differential Equations

  • Title: Uniqueness and reconstruction of the periodic Strum-Liouville operator with a finite number of discontinuities
    Authors: Ran Zhang, Kai Wang, Chuan-Fu Yang
    Year: 2024
    Citation: Applied Mathematics Letters, 147: 108853
    Source: Applied Mathematics Letters

  • Title: Uniqueness theorems for the impulsive Dirac operator with discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2022
    Citation: Analysis and Mathematical Physics, 12(1): 1-16
    Source: Analysis and Mathematical Physics

  • Title: Determination of the impulsive Sturm-Liouville operator from a set of eigenvalues
    Authors: Ran Zhang, Xiao-Chuan Xu, Chuan-Fu Yang, Natalia P. Bondarenko
    Year: 2020
    Citation: Journal of Inverse and Ill-posed Problems, 28(3): 341-348
    Source: Journal of Inverse and Ill-posed Problems

  • Title: Solving the inverse problems for discontinuous periodic Strum-Liouville operator by the method of rotation
    Authors: Ran Zhang, Kai Wang, Chuan-Fu Yang
    Year: 2024
    Citation: Results in Mathematics, 79(1): 49
    Source: Results in Mathematics

  • Title: Ambarzumyan-type theorem for the impulsive Sturm-Liouville operator
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2021
    Citation: Journal of Inverse and Ill-posed Problems, 29(1): 21-25
    Source: Journal of Inverse and Ill-posed Problems

  • Title: Solvability of an inverse problem for discontinuous Sturm-Liouville operators
    Authors: Ran Zhang, Natalia P. Bondarenko, Chuan-Fu Yang
    Year: 2021
    Citation: Mathematical Methods in Applied Sciences, 44(1): 124-139
    Source: Mathematical Methods in Applied Sciences

  • Title: Reconstruction of the Strum-Liouville operator with periodic boundary conditions and discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2022
    Citation: Mathematical Methods in Applied Sciences, 45(8): 4244-4251
    Source: Mathematical Methods in Applied Sciences

  • Title: Determination of the impulsive Dirac systems from a set of eigenvalues
    Authors: Ran Zhang, Chuan-Fu Yang, Kai Wang
    Year: 2023
    Citation: Mathematics, 11(19): 4086
    Source: Mathematics

  • Title: Inverse nodal problem for the Sturm-Liouville operator with a weight
    Authors: Ran Zhang, Murat Sat, Chuan-Fu Yang
    Year: 2020
    Citation: Applied Mathematics – A Journal of Chinese Universities Series B, 35(2): 193-202
    Source: Applied Mathematics – A Journal of Chinese Universities Series B

 

Zohaib Khan | Optimization | Best Researcher Award

Published on by Math Scientist

Dr. Zohaib Khan | Optimization | Best Researcher Award

Jiangsu University, China

Zohaib Khan is a dedicated researcher specializing in machine learning, object detection, and control science engineering, with a strong focus on precision agriculture and AI-driven automation. Currently pursuing a PhD at Jiangsu University, China, he has made significant contributions to deep learning-based agricultural robotics, publishing multiple first-author papers in high-impact SCI Q1, Q2, and EI journals. His work emphasizes real-time detection, optimization algorithms, and AI-driven sustainability solutions. With extensive mentoring experience (50+ Bachelor’s and 10 Master’s students), he has played a key role in academic development. Zohaib has received numerous national and international awards, including first prizes in elite research and innovation competitions. His technical expertise spans Python, MATLAB, LaTeX, and AI-driven modeling, complementing his ability to lead interdisciplinary research. With a passion for advancing AI applications in agriculture, he continues to drive innovation in sustainable and automated farming solutions.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Zohaib Khan is currently pursuing a PhD in Control Science Engineering at Jiangsu University, China (2022–2026), specializing in machine learning and object detection. He previously earned an MSc in Electrical Engineering (2019–2022) from the same institution, focusing on power systems and renewable energy. His Bachelor’s degree in Electrical Power Engineering (2013–2017) from Swedish College of Engineering and Technology, Pakistan, laid the foundation for his technical expertise. His early academic years were marked by excellence, having completed Pre-Engineering at Fazaia Degree College (2011–2013) and his Secondary School Certificate (2009–2011) at Agricultural University Public School. Zohaib’s academic journey is distinguished by his strong analytical skills and passion for integrating AI and automation in engineering solutions. His education reflects a deep commitment to advanced research, innovation, and interdisciplinary problem-solving, positioning him as a future leader in AI-driven technologies and precision agriculture.

Professional Experience

Zohaib Khan has gained substantial experience in both academic research and engineering practice. As an intern at WAPDA, Pakistan, he developed hands-on expertise in power distribution and transmission lines, strengthening his understanding of grid operations and maintenance. Later, as an Electrical Engineer at LIMAK (JV) ZKB – CPEC Project (2017–2018), he contributed to electrical system design, installation, and maintenance, gaining valuable project management experience. His role involved troubleshooting, safety compliance, and interdisciplinary collaboration, enhancing his problem-solving capabilities. In academia, Zohaib has mentored over 50 Bachelor’s and 10 Master’s students, guiding them through research projects in machine learning, object detection, and automation. His strong writing, teaching, and IT skills have been instrumental in fostering innovation. His diverse experience, spanning applied research and engineering implementation, makes him a well-rounded professional capable of driving breakthroughs in AI-powered automation and precision agriculture.

Research Interest

Zohaib Khan’s research focuses on machine learning, deep learning, object detection, and AI-driven automation, with applications in precision agriculture and robotics. His studies revolve around real-time detection, optimization algorithms, and advanced control systems for agricultural sustainability and industrial automation. He has pioneered AI-driven precision farming techniques, developing deep learning-enhanced YOLOv7 and YOLOv8 algorithms for real-time crop health assessment and robotic spraying systems. Additionally, his work explores autonomous navigation in unstructured farmlands, energy-efficient control systems, and reinforcement learning for AI-based decision-making. His research extends to risk assessment in renewable energy systems, contributing to more efficient and resilient smart grids. Through interdisciplinary collaborations, Zohaib continues to push the boundaries of AI in sustainable agriculture, robotics, and industrial automation, aiming to develop intelligent, scalable, and high-impact solutions for modern technological challenges.

Awards and Honors

Zohaib Khan has received multiple prestigious awards recognizing his contributions to research, innovation, and academic excellence. He has won First Prizes in National Competitions, including the China University Business Elite Challenge (2024) and the Brand Planning Competition (2024). His research excellence was acknowledged with the Excellent Paper Award at the Sino-award (2021) and special recognition in Jiangsu Province Graduate Energy-saving and Low-Carbon Research Competition (2023). Additionally, he was honored as an Outstanding Student in the 17th “Yale School of Jiangsu University” program and received a Certificate of Excellence for Teaching Assistance. His leadership and public speaking skills earned him first place in an English debate at Jiangsu University. These accolades reflect his dedication to research, leadership in innovation, and commitment to advancing AI applications in engineering and agriculture, solidifying his reputation as a promising researcher in his field.

Conclusion

Zohaib Khan’s academic, professional, and research journey showcases his exceptional talent in AI-driven automation, machine learning, and precision agriculture. His extensive experience in research, mentoring, and engineering practice positions him as a leading scholar in intelligent agricultural robotics and sustainable AI applications. With a strong publication record in high-impact journals (SCI Q1, Q2, and EI) and multiple national and international awards, he has demonstrated his ability to drive innovation and solve real-world problems. His work in deep learning-based automation and AI-driven optimization techniques continues to push the boundaries of technology for sustainability and efficiency. As he progresses in his career, Zohaib remains committed to advancing cutting-edge research, fostering academic collaborations, and contributing transformative solutions in AI, robotics, and smart energy systems. His dedication and achievements make him a strong candidate for prestigious research awards and a key contributor to the future of AI in engineering and agriculture.

Publications Top Noted 

 

Zengjing Chen | Probability Theory | Best Researcher Award

Published on by Math Scientist

Prof. Zengjing Chen | Probability Theory | Best Researcher Award

Shandong China at School of Mathematics Shandong University, China

Professor Zengjing Chen is a distinguished scholar in applied mathematics, financial mathematics, and probability theory, currently serving at Shandong University. With a Ph.D. in Applied Mathematics from Shandong University, his academic journey includes visiting positions at leading institutions such as INRIA (France), the University of Western Ontario (Canada), and the University of Rochester (USA). He has made significant contributions to nonlinear expectations, stochastic processes, and financial mathematics, reflected in his extensive publication record in high-impact journals like Econometrica, Annals of Probability, and Journal of Economic Theory. His leadership roles include chairing committees in the Society for Industrial and Applied Mathematics of China and the Bernoulli Society. A recipient of prestigious awards such as the National Natural Science Award and the Society for Industrial and Applied Mathematics of China Fellowship, Professor Chen’s research has advanced the theoretical foundations of risk analysis, asset pricing, and stochastic control, earning him global recognition in mathematical finance and probability.

Professional Profile 

Scopus Profile

Education

Professor Zengjing Chen earned his Ph.D. in Applied Mathematics from Shandong University, where he developed a strong foundation in probability theory and financial mathematics. His academic journey included postdoctoral research and visiting scholar positions at renowned institutions, such as INRIA in France, the University of Western Ontario in Canada, and the University of Rochester in the United States. These international experiences enriched his expertise in stochastic processes, nonlinear expectations, and risk analysis. Throughout his education, he was mentored by leading mathematicians, contributing to his profound theoretical insights and innovative approaches to financial mathematics. His Ph.D. research laid the groundwork for his later contributions to nonlinear probability and robust financial modeling. By combining mathematical rigor with practical financial applications, he has become a prominent figure in applied probability and mathematical finance, influencing both theoretical advancements and real-world financial decision-making through his interdisciplinary research.

Professional Experience

Professor Chen has held key academic and research positions throughout his career, primarily at Shandong University, where he has been a professor and mentor to numerous doctoral students. His professional experience extends beyond China, having served as a visiting professor and research collaborator at leading institutions worldwide, including INRIA in France, the University of Western Ontario in Canada, and the University of Rochester in the United States. As an active member of the global mathematical community, he has chaired committees in prestigious organizations such as the Society for Industrial and Applied Mathematics of China and the Bernoulli Society. His editorial roles in top-tier mathematical journals demonstrate his influence in shaping the direction of research in financial mathematics and probability theory. With a career spanning decades, his professional journey reflects a commitment to advancing mathematical sciences, mentoring young researchers, and fostering international collaborations that bridge theoretical research with practical applications.

Research Interest

Professor Chen’s research interests lie at the intersection of probability theory, financial mathematics, and stochastic processes. He has made pioneering contributions to nonlinear expectations, risk measures, and robust financial modeling. His work on sublinear expectations and G-expectation has significantly impacted mathematical finance, particularly in asset pricing, risk management, and stochastic control. He is also deeply involved in uncertainty quantification and the application of probability theory to economics, developing models that address market volatility and financial risk under uncertainty. His research extends to machine learning applications in financial mathematics, where he explores new methodologies for predictive modeling and risk assessment. By integrating advanced probability theory with financial applications, his work has provided critical insights into optimal decision-making under uncertainty. His studies have been widely published in leading mathematical and economic journals, influencing both academic research and practical financial strategies used in investment, banking, and insurance industries.

Awards and Honors

Throughout his career, Professor Chen has received numerous prestigious awards recognizing his contributions to mathematics and financial modeling. He was honored with the National Natural Science Award, one of China’s highest accolades for scientific research, for his groundbreaking work in nonlinear probability and financial mathematics. He is also a Fellow of the Society for Industrial and Applied Mathematics of China, a distinction awarded to scholars who have made significant contributions to applied mathematics. His research has been supported by major grants from the National Science Foundation of China, allowing him to lead influential projects in stochastic analysis and risk management. Additionally, he has been invited to deliver keynote lectures at major international awards, further solidifying his status as a leading expert in probability and financial mathematics. His accolades reflect his lasting impact on the field, inspiring a new generation of researchers and practitioners in mathematical finance and applied probability.

Conclusion

Professor Zengjing Chen stands as a globally recognized scholar in applied mathematics, probability theory, and financial mathematics, with profound contributions to nonlinear expectations and stochastic processes. His academic and professional journey has been marked by excellence in research, international collaboration, and mentorship. Through his pioneering work in robust risk modeling and uncertainty quantification, he has advanced theoretical frameworks that influence real-world financial decision-making. His recognition through prestigious awards and leadership roles in top mathematical societies underscores his impact on the field. As a researcher, educator, and thought leader, Professor Chen continues to shape the future of mathematical finance, probability theory, and interdisciplinary mathematical applications. His contributions remain fundamental to both theoretical advancements and practical implementations in risk management, asset pricing, and financial stability, ensuring his legacy as a leading figure in the global mathematical community.

Publications Top Noted

  • Title: Proof of a Conjecture About Parrondo’s Paradox for Two-Armed Slot Machines
    Authors: Huaijin Liang, Zengjing Chen
    Year: 2025
    Source: Advances in Applied Mathematics

  • Title: A Theoretical Model for a Vane with Stochastic Rotation
    Authors: Zengjing Chen, Xinwei Feng, Han Li, Shijie Xie
    Year: 2024
    Source: Physica D: Nonlinear Phenomena

  • Title: An Advanced Machine Learning Method for Simultaneous Breast Cancer Risk Prediction and Risk Ranking in Chinese Population: A Prospective Cohort and Modeling Study
    Authors: Liyuan Liu, Yong He, Chunyu Kao, Zengjing Chen, Zhigang Yu
    Year: 2024
    Source: Chinese Medical Journal

  • Title: A Quantum Technology for Reinforcement Learning on Channel Assignment
    Authors: Zengjing Chen, Lu Wang, Chengzhi Xing
    Year: 2024
    Source: Advanced Quantum Technologies

  • Title: Optimal Strategy for Bayesian Two-Armed Bandit Problem with an Arched Reward Function
    Authors: Zengjing Chen, Zhao Ang Zhang
    Year: 2024
    Source: Mathematical Control and Related Fields

  • Title: Approximate Optimality and the Risk/Reward Tradeoff Given Repeated Gambles
    Authors: Zengjing Chen, Larry G. Epstein, Guodong Zhang
    Year: 2024
    Source: Economic Theory