Vitalii Babak | Mathematical Modeling | Best Researcher Award

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Prof. Vitalii Babak | Mathematical Modeling | Best Researcher Award

Director | General Energy Institute of National Academy of Sciences of Ukraine | Ukraine

Prof. Vitalii Babak is a renowned Ukrainian scientist and academic leader whose distinguished career spans more than four decades in the fields of mathematical modeling, energy systems optimization, and measurement technologies. He graduated from the Kyiv Polytechnic Institute in 1977 with a degree in Electrical Instrumentation and Computer Engineering, later earning the title of Doctor of Technical Sciences in 2005. Rising through the academic ranks, he began his professional journey at the Kyiv Polytechnic Institute, progressing from engineer to head of department (1977–1995), followed by serving as Deputy Minister of Education of Ukraine for Higher Education (1995–1998) and Rector of the National Aviation University (1998–2008). From 2008 to 2021, he worked at the Institute of Technical Thermophysics of the NAS of Ukraine as Chief Research Fellow and Deputy Director, and since 2022 he has been the Director of the General Energy Institute of the NAS of Ukraine. His primary research interests include the theory of measurements, information-measuring technologies, monitoring and optimization of thermophysical processes, and improving energy efficiency and environmental performance of energy systems. A skilled project manager and innovative problem solver, he has contributed significantly to international collaborations and has published extensively in IEEE and Scopus-indexed journals. According to Scopus, his scholarly impact includes 996 citations by 528 documents, 102 publications, and an h-index of 21, reflecting the wide recognition and influence of his research. His career is decorated with prestigious honors, including Academician of the NAS of Ukraine (2003), Laureate of the State Prize of Ukraine in Science and Technology (2001), Honored Worker of Science and Technology of Ukraine (1997), and honorary doctorates from universities in the USA, Spain, Germany, Lithuania, South Korea, and Georgia. As an IEEE member and respected research leader, Prof. Babak’s contributions continue to shape the advancement of energy research and mathematical modeling, making him a highly deserving recipient of international recognition for scientific excellence.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Babak, V. P., Shchepetov, V. V., & Kharchenko, S. D. (2020). Wear resistance of self-lubricating coatings due to the formation of carbide graphite. Igor Sikorsky Kyiv Polytechnic Institute.
    Cited by 72 documents.

  • Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures for measuring random angular quantities. Models and Measures in Measurements and Monitoring, 61–97.
    Cited by 69 documents.

  • Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures in measurements and monitoring. Springer International Publishing.
    Cited by 69 documents.

  • Babak, V., Zaporozhets, A., Kuts, Y., Scherbak, L., & Eremenko, V. (2021). Application of material measure in measurements: theoretical aspects. Systems, Decision and Control in Energy II, 261–269.
    Cited by 57 documents.

  • Sokol, Y., Babak, V., Zaporozhets, A., Gryb, O., Karpaliuk, I., & Svetelik, O. (2024). Theoretical principles of acoustic radiation created by corona discharge. Detection of Corona Discharge in Electric Networks, 57–86.
    Cited by 1 document.

 

Junchang Li | Mathematical Modeling | Best Researcher Award

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Dr. Junchang Li | Mathematical Modeling | Best Researcher Award

Shanghai Polytechnic University | China

Dr. Junchang Li is a distinguished researcher in computer science and engineering with expertise in intelligent systems, data analytics, and advanced computing technologies. He holds a Ph.D. in Computer Science and has actively engaged in international collaborations that connect academia, industry, and research communities. His work is widely recognized through publications in reputed IEEE and Scopus-indexed journals and conferences, reflecting both depth and innovation. Alongside his scholarly achievements, Dr. Li has shown strong leadership through student mentorship, volunteer platforms, and active involvement in academic initiatives that promote knowledge sharing and professional growth. He is also a member of esteemed organizations such as IEEE and ACM, underscoring his global research engagement. With a blend of academic rigor and professional commitment, Dr. Li continues to contribute significantly to advancing research and society.

Professional Profiles

Scopus Profile | ORCID Profile 

Education

Dr. Junchang Li pursued his academic journey with a strong foundation in computer science and engineering, culminating in a Ph.D. in Computer Science from a reputed university. His doctoral research focused on advanced areas of intelligent systems, data processing, and computational models, providing him with deep expertise in both theoretical and applied dimensions of computer science. Prior to his Ph.D., he completed his undergraduate and master’s studies in related disciplines, building comprehensive knowledge in algorithms, programming, and emerging technologies. His education reflects a continuous pursuit of excellence and innovation, preparing him to tackle complex challenges in the digital era. By combining rigorous academic training with a passion for exploration, Dr. Li has established a strong scholarly background that supports his impactful research and professional accomplishments.

Experience

Dr. Junchang Li has built extensive professional experience as a researcher, academic, and collaborator in the field of computer science. He has been actively involved in leading and participating in international research projects, connecting global institutions and fostering innovation through cross-border collaborations. His academic journey has been complemented by teaching and mentoring roles, where he has guided students in research projects, publications, and professional growth. Dr. Li’s experience also includes active participation in conferences, workshops, and technical committees, where he has shared insights and contributed to shaping emerging research directions. Beyond academia, he has engaged with industry-oriented research, bridging theoretical knowledge with practical applications. His diverse experience highlights his ability to operate in multidisciplinary environments, lead collaborative efforts, and contribute meaningfully to the advancement of knowledge and technology.

Research Interest

Dr. Junchang Li’s research interests span multiple dynamic areas of computer science and engineering, with a focus on intelligent systems, data analytics, and advanced computational models. He is particularly interested in exploring how emerging technologies can be leveraged to solve complex real-world problems, with emphasis on efficiency, scalability, and innovation. His work addresses challenges in data-driven decision-making, algorithm optimization, and the integration of smart systems into modern digital infrastructures. He is also interested in interdisciplinary research that combines computer science with other domains, opening pathways to impactful applications across industries and society. Through these interests, Dr. Li aims to contribute to the evolution of next-generation technologies, enhance the role of computing in human-centered solutions, and promote knowledge that bridges theoretical concepts with practical implementation.

Awards and Honors

Dr. Junchang Li has received several awards and honors in recognition of his research excellence, academic achievements, and contributions to the global scientific community. His publications in IEEE and Scopus-indexed journals have been highly regarded, and his active involvement in international conferences has earned him appreciation from peers and experts in the field. He has also been recognized for his leadership in research collaborations, student mentorship, and contributions to academic development platforms. These honors reflect his dedication to advancing computer science through innovative and impactful work. In addition, his memberships in globally recognized organizations such as IEEE and ACM further highlight his professional standing and commitment to continuous growth. These recognitions collectively showcase his role as a highly accomplished researcher and respected academic professional.

Research Skill

Dr. Junchang Li possesses strong research skills that reflect both technical expertise and innovative problem-solving capabilities. He is proficient in designing, developing, and implementing advanced algorithms, as well as conducting data-driven analysis for intelligent systems. His skills extend to writing high-quality research papers, presenting at international conferences, and contributing to impactful publications. Dr. Li is experienced in managing collaborative projects, ensuring effective coordination between academic and industry partners to achieve significant research outcomes. He is adept in using modern research methodologies, analytical tools, and programming techniques to address complex computational challenges. In addition, his leadership skills allow him to mentor students and guide research groups effectively. This combination of technical proficiency, academic excellence, and collaborative ability makes him a well-rounded researcher with the capacity to deliver meaningful contributions.

Publication Top Notes

  • Title: Dynamic Pricing for Internet Service Platforms with Initial Demand Constraints: Unified or Differentiated Pricing?
    Authors: Junchang Li; Jiaqing Sun; Jiantong Zhang
    Year: 2025
    Citation: Journal of Theoretical and Applied Electronic Commerce Research, Journal Article, 2025-09-01

  • Title: Bilateral Pricing for Internet Healthcare Platform: Separating or Pooling Doctors?
    Authors: Junchang Li; Chengbin Chu; Jiantong Zhang; Jiaqing Sun
    Year: 2025
    Citation: Expert Systems with Applications, DOI: 10.1016/j.eswa.2025.128717, 2025-06-24

  • Title: Bilateral “pricing” for consultation companies’ competition considering customers’ switching behavior
    Authors: Junchang Li; Jiantong Zhang; Hongzhen Song
    Year: 2023
    Citation: RAIRO – Operations Research, DOI: 10.1051/ro/2023076, July 2023

  • Title: The impacts of subsidy strategies and recycling modes on the closed‐loop supply chain
    Authors: Hongzhen Song; Jiantong Zhang; Junchang Li
    Year: 2022
    Citation: Managerial and Decision Economics, DOI: 10.1002/mde.3658, December 2022

  • Title: Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China
    Authors: Junchang Li; Jiantong Zhang; Ye Ding
    Year: 2020
    Citation: International Journal of Environmental Research and Public Health, DOI: 10.3390/ijerph17082858, April 2020

Conclusion

Dr. Junchang Li stands as a distinguished researcher whose contributions to computer science and engineering have been both impactful and forward-looking. His strong academic foundation, extensive professional experience, and internationally recognized research highlight his value as a leader in his field. Through his innovative work in intelligent systems and data analytics, he has advanced knowledge that influences both academia and industry. His awards, honors, and active involvement in global research communities demonstrate his commitment to professional excellence and societal contribution. With proven skills in collaboration, leadership, and technical expertise, Dr. Li is well-positioned to continue making significant strides in research and innovation. His dedication, vision, and scholarly achievements make him highly deserving of recognition and a role model for future researchers.

Dragan Randelovic | Mathematical Modeling | Mathematical Modeling Breakthrough Award

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Prof. Dr. Dragan Randelovic | Mathematical Modeling | Mathematical Modeling Breakthrough Award

Full Professor at University Union Nikola Tesla, Faculty for diplomacy and security, Serbia

Prof. Dr. Dragan Ranđelović, Full Professor at Union University – Nikola Tesla, Faculty of Diplomacy and Security, is a renowned expert in Information Technology, Informatics, and Mathematics with over 45 years of academic and research experience. Earning his Ph.D. from the University of Pristina, he has led and contributed to numerous national and international projects, applying mathematical modeling to biological, economic, and sociological systems. Author of over 300 publications, including 40 Web of Science-indexed papers, 15 university textbooks, and co-editor of international volumes, he has over 400 citations with an h-index above 10. A mentor to more than 50 postgraduate candidates, he serves on editorial boards of multiple international journals and continues to influence research, education, and interdisciplinary innovation on a global scale.

Professional Profile

Google Scholar | Scopus Profile  

Education

Prof. Dr. Dragan Ranđelović earned his degree in Electronics from the Faculty of Electronics, Niš, Graduating first in his class ahead of schedule. He completed his master’s degree at the same faculty and obtained his Ph.D. from the Faculty of Science and Mathematics, University of Pristina. His academic journey reflects a deep integration of mathematics, informatics, and technology, forming the foundation for his multidisciplinary expertise. Over the years, he has also pursued continuous academic engagement through teaching, research, and scholarly collaborations. His educational achievements, rooted in rigorous technical disciplines, have underpinned a career dedicated to advancing both theoretical and applied aspects of information technology, with a strong emphasis on the role of mathematical modeling in solving complex, real-world challenges.

Experience

With over 45 years of professional experience, Prof. Dr. Ranđelović has seamlessly bridged academia, industry, and research institutions. He began as a high school teacher before joining the Institute of Electronic Industry in Niš as a development engineer, later managing one of its key research laboratories. He held senior leadership roles in various factories under Elektronska Industrija Niš, followed by significant academic appointments. His tenure includes assistant, associate, and full professorships across universities in Serbia, including the University of Pristina, University of Belgrade, University of Novi Sad, and the University of Criminalistics and Police Studies. Currently, he is Full Professor and Head of the Department of Software Engineering and IT at Union University – Nikola Tesla, Faculty of Diplomacy and Security.

Research Interest

Prof. Dr. Ranđelović’s research interests span information technology, informatics, applied mathematics, and advanced computational methods. He has focused on mathematical modeling for decision-making processes across diverse domains, including biological, economic, and sociological systems. His work integrates statistical analysis, experimental design, and simulation models to develop innovative solutions to complex interdisciplinary problems. He is particularly engaged in research on analytical decision-making frameworks that leverage modern information technologies for real-world applications. His interests also include artificial intelligence applications, data-driven methodologies, and the integration of mathematical models in policy-making and industrial optimization. Through his extensive projects and editorial work, he continuously advances the application of mathematical principles in emerging technology-driven environments, influencing both academic research and industry practices.

Award and Honor

Prof. Dr. Ranđelović’s distinguished career has been marked by significant academic and professional recognition. He has been invited to serve on the editorial boards of multiple international journals, such as Artificial Intelligence Advances and Mathematics and Computer Science, reflecting his scholarly authority. His role as Guest Editor for a special issue of the prestigious Symmetry journal highlights his continued leadership in the academic community. Additionally, his contributions as a mentor to over 50 master’s and specialist candidates, as well as doctoral students, demonstrate his commitment to developing future scholars. His long-standing involvement in high-impact national and international projects further attests to his professional standing and the respect he commands in the fields of information technology and mathematical modeling.

Research Skill

Prof. Dr. Ranđelović possesses an exceptional combination of theoretical expertise and applied research skills. His proficiency includes advanced mathematical modeling, algorithm design, data analytics, simulation techniques, and the development of decision-support systems. He has significant experience in managing interdisciplinary research projects, coordinating teams, and integrating complex datasets into actionable insights. His skill set extends to academic writing, peer reviewing, and editorial leadership, supported by over 300 publications and 150 review assignments. His ability to translate mathematical frameworks into practical applications across varied fields—from economics to security—has positioned him as a versatile researcher. These competencies, coupled with his leadership in both academic and industrial settings, underscore his capacity to address emerging challenges through innovative and methodical approaches.

Publication Top Notes

  • Title: Triple Modular Redundancy Optimization for Threshold Determination in Intrusion Detection Systems
    Authors: I. Babić, A. Miljković, M. Čabarkapa, V. Nikolić, A. Đorđević, M. Ranđelović, …
    Year: 2021
    Citations: 14

  • Title: Determining VLSI Array Size for One Class of Nested Loop Algorithms
    Authors: E. I. M. Titokic, I. Z. Milovanović, D. M. Randjelović
    Year: 1998
    Citations: 13*

  • Title: Challenging Ergonomics Risks with Smart Wearable Extension Sensors
    Authors: N. Maksimović, M. Čabarkapa, M. Tanasković, D. Randjelović
    Year: 2022
    Citations: 12

  • Title: Prediction of Important Factors for Bleeding in Liver Cirrhosis Disease Using Ensemble Data Mining Approach
    Authors: A. Aleksić, S. Nedeljković, M. Jovanović, M. Ranđelović, M. Vuković, …
    Year: 2020
    Citations: 12

  • Title: Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool
    Authors: M. Ranđelović, S. Nedeljković, M. Jovanović, M. Čabarkapa, V. Stojanović, …
    Year: 2020
    Citations: 12

  • Title: SOSerbia: Android-Based Software Platform for Sending Emergency Messages
    Authors: M. Jovanović, I. Babić, M. Čabarkapa, J. Mišić, S. Mijalković, V. Nikolić, …
    Year: 2018
    Citations: 12

  • Title: A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities
    Authors: M. Jovanović, S. Nedeljković, M. Ranđelović, G. Savić, V. Stojanović, …
    Year: 2020
    Citations: 11

  • Title: An Advanced Quick-Answering System Intended for the e-Government Service in the Republic of Serbia
    Authors: S. Nedeljković, V. Nikolić, M. Čabarkapa, J. Mišić, D. Ranđelović
    Year: 2019
    Citations: 11

  • Title: The Design of the Personal Enemy-MIMLebot as an Intelligent Agent in a Game-Based Learning Environment
    Authors: K. Kuk, I. Z. Milentijević, D. Ranđelović, B. M. Popović, P. Čisar
    Year: 2017
    Citations: 11

  • Title: Intelligent Agents and Game-Based Learning Modules in a Learning Management System
    Authors: K. Kuk, D. Rančić, O. Pronić-Rančić, D. Ranđelović
    Year: 2016
    Citations: 11

  • Title: Study Program Selection by Aggregated DEA-AHP Measure
    Authors: G. Savić, D. Makajić-Nikolić, D. Ranđelović, M. Ranđelović
    Year: 2013
    Citations: 11

  • Title: Determination of Invariant Measures: An Approach Based on Homotopy Perturbations
    Authors: V. Stojanović, T. Kevkić, G. Jelić, D. Ranđelović
    Year: 2018
    Citations: 8

  • Title: Different Methods for Fingerprint Image Orientation Estimation
    Authors: B. M. Popović, M. V. Bandur, A. M. Raičević, D. Ranđelović
    Year: 2012
    Citations: 8

Conclusion

Prof. Dr. Dragan Ranđelović’s illustrious career stands as a testament to his dedication to advancing information technology, mathematics, and interdisciplinary research. His educational foundation, vast professional experience, and prolific scholarly output have left a lasting impact on both academia and industry. Through decades of research, teaching, and leadership, he has fostered innovation in mathematical modeling and its real-world applications. His mentorship of future professionals and active engagement in editorial and collaborative roles exemplify his commitment to the global academic community. Looking forward, his expertise and vision position him to continue contributing groundbreaking work, further solidifying his reputation as a leader in integrating mathematical and technological solutions to address complex societal and scientific challenges.

Kamal Sleem | Mathematical Engineering | Best Researcher Award

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Dr. Kamal Sleem | Mathematical Engineering | Best Researcher Award

PhD at Polytechnic University of Marche, Italy

Dr. Kamal Sleem 🎓 is a promising Ph.D. researcher in Industrial Engineering with a focus on Mechanical Engineering at Università Politecnica delle Marche, Italy 🇮🇹. With dual Master’s degrees in Fundamental Physics and Condensed Matter Physics from the Lebanese University 🇱🇧, his expertise spans across physical metallurgy, additive manufacturing, and magnetic characterization of metallic materials 🧲🔩. His research contributions include advanced work on ferrous alloys, biomedical materials, and spinel nanoparticles, backed by specialized techniques like nanoindentation, Mössbauer spectroscopy, and XRD analysis 🔬🧪. Dr. Sleem has published impactful studies in reputable journals such as Crystals and JMMP 📚. His innovative modeling and surface engineering research shows strong potential for industrial applications and scientific advancement ⚙️📈. With international experience and technical depth, he stands out as a rising figure in advanced materials research 🌍🏅.

Professional Profile 

Scopus Profile
ORCID Profile

🎓 Education

Dr. Kamal Sleem holds a robust academic foundation in physics and engineering 🧠📘. He earned his first Master’s degree (M1) in Fundamental Physics (2020) and another in Physics of Condensed Matter (2021) from the Lebanese University, First Branch-Hadath 🇱🇧. Currently, he is pursuing a Ph.D. in Industrial Engineering (Mechanical Engineering curriculum) at the Università Politecnica delle Marche, Ancona, Italy 🇮🇹. His transition from theoretical physics to applied engineering demonstrates an interdisciplinary strength essential for advanced materials research 🔄📊. Dr. Sleem’s education bridges the gap between scientific principles and real-world applications—positioning him to make meaningful contributions across both academic and industrial domains 🌍🎯.

💼 Professional Experience

Dr. Sleem is immersed in rigorous research as a Ph.D. student at DIISM, Università Politecnica delle Marche 🏛️🔬. His professional focus includes physical metallurgy, mechanical characterization, and magnetic studies of cutting-edge metallic materials 🧲🛠️. Collaborating in high-level research groups, he has contributed to international journal publications and hands-on projects involving additive manufacturing, lattice modeling, and biomedical alloys 🧪🦾. Through Siemens NX, OpenCalphad simulations, and magnetic diagnostics, he bridges computational and experimental engineering. His current work on stainless steel and spinel nanoparticle systems has real-world relevance in both industrial and biomedical sectors 🏥⚙️. This practical and theoretical experience makes him a valuable emerging scholar in the field of mechanical engineering and materials science 🌟🌐.

🔍 Research Interest

Dr. Kamal Sleem’s research is rooted in the fusion of materials science and physics, focusing primarily on physical metallurgy, magnetic properties, and additive manufacturing of metallic materials 🧲🔧. His interests include ferrous alloys, stainless and tool steels, magnesium and titanium alloys for biomedical use, and spinel-structured iron oxide nanoparticles 🧬🛡️. He investigates structural and magnetic behaviors using techniques such as nanoindentation, Mössbauer spectroscopy, and VSM 🎯📊. His simulations and modeling using Siemens NX and OpenCalphad add a computational depth to his experimental insights 💻🧪. By analyzing surface and bulk properties, he aims to improve performance, sustainability, and design of next-generation materials for engineering and medical applications 🌿🦿.

🏅 Awards and Honors

While still early in his academic career, Dr. Kamal Sleem has already begun receiving recognition through his peer-reviewed journal publications in Crystals and JMMP 🌟📘. These publications are indicators of his credibility and growing impact in materials research, particularly in magnetic characterization and additive manufacturing of metals 🧲📈. His collaborative research with senior scholars highlights his ability to contribute meaningfully to complex, multidisciplinary studies 🤝🔬. As his work continues to influence emerging techniques in metallurgy and mechanical engineering, he is well-positioned to earn further accolades and research honors in international academic circles 🏆🌍. His trajectory indicates great promise for future institutional and professional recognitions 🎓📣.

🛠️ Research Skills

Dr. Sleem brings a broad array of advanced research skills to the field of materials engineering 🔧🧪. He is proficient in nanoindentation, microhardness testing, digital and optical microscopy, and XRD-based stress analysis 🔬📐. His expertise extends to complex simulation tools like Siemens NX for modeling lattice structures and OpenCalphad for thermodynamic simulations 💻📊. He has mastered magnetic characterization using Mössbauer spectroscopy and vibrating-sample magnetometers (VSM), allowing him to assess both local and global magnetic properties effectively 🧲🧠. His hands-on experience with additive manufacturing techniques and defect analysis adds industrial relevance to his academic precision ⚙️🔍. This robust skill set positions him as a valuable asset in both research labs and applied engineering environments.

Publications Top Note 📝

Title: A Novel Approach to Quantitatively Account on Deposition Efficiency by Direct Energy Deposition: Case of Hardfacing-Coated AISI 304 SS
Authors: Gabriele Grima, Kamal Sleem, Alberto Santoni, Gianni Virgili, Vincenzo Foti, Marcello Cabibbo, Eleonora Santecchia
Year: 2025
Journal: Crystals
DOI: 10.3390/cryst15070626
Source: MDPI (Crossref)

Title: A Nanoindentation Approach to Investigating Dislocation Density in Additive-Manufactured SS316L-Graded Lattice Structures
Authors: Kamal Sleem, Gabriele Grima, Marcello Cabibbo
Year: 2025
Journal: Journal of Manufacturing and Materials Processing
DOI: 10.3390/jmmp9020059
Source: MDPI (Crossref)

Title: Microstructure and Defect Analysis of 17-4PH Stainless Steel Fabricated by the Bound Metal Deposition Additive Manufacturing Technology
Authors: Valerio Di Pompeo, Eleonora Santecchia, Alberto Santoni, Kamal Sleem, Marcello Cabibbo, Stefano Spigarelli
Year: 2023
Journal: Crystals
DOI: 10.3390/cryst13091312
Source: MDPI (Crossref)

Conclusion

Dr. Kamal Sleem stands out as a highly capable and driven early-career researcher in materials science and mechanical engineering 🌍🏅. With a dual physics background and a focused Ph.D. trajectory in metallurgy and additive manufacturing, he combines analytical rigor with applied innovation 💡🛠️. His research on biomedical alloys, magnetic materials, and advanced modeling techniques aligns well with global engineering challenges in health, industry, and sustainability ♻️🏭. Though still building his professional accolades, his current output, multidisciplinary skills, and international engagement signal exceptional potential for leadership in science and technology 🔬🚀. Dr. Sleem is undoubtedly a strong contender for recognition such as the Best Researcher Award in his field. 🥇📘

Juliano Flavio Rubatino Rodrigues | Mathematical Biology | Best Scholar Award

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Dr. Juliano Flavio Rubatino Rodrigues | Mathematical Biology | Best Scholar Award

PhD student at FAMERP, Brazil

Dr. Juliano Flávio Rubatino Rodrigues 🧠 is a distinguished Brazilian psychiatrist and psychogeriatrics expert with a strong academic and clinical foundation. Holding a doctorate in Pathological Anatomy and Clinical Pathology 🧬, his research focuses on the critical intersection of Alzheimer’s disease and suicidal behavior 🧓💔. With over two decades of experience in psychiatry, he has contributed to numerous peer-reviewed journals 📚 and international symposiums 🌍. Dr. Rodrigues has received multiple honors from the Brazilian Psychiatric Association 🏅 and actively collaborates in innovative mental health projects. Fluent in multiple languages 🗣️ and affiliated with top institutions like FAMEMA and FAMERP, his scientific work emphasizes prevention, biomarkers, and interpersonal psychotherapy. Through dedication, compassion, and scholarship, he continues to elevate the field of psychogeriatric research and mental health care in Brazil and beyond 🇧🇷.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Dr. Juliano Flávio Rubatino Rodrigues 🧑‍🎓 holds a solid academic foundation in medicine and specialized training in psychiatry. He earned his medical degree from a reputable institution in Brazil 🇧🇷, followed by postgraduate specialization in Psychiatry and a Doctorate in Pathological Anatomy and Clinical Pathology 🔬. His academic journey also includes focused training in Psychogeriatrics 👴 and advanced psychiatric care. Dr. Rodrigues has been committed to continuous education, having participated in various international medical congresses and academic forums 🌐. His education has been both research-oriented and clinically grounded, combining theoretical rigor with real-world application. This powerful blend of academic insight and psychiatric specialization allows him to contribute deeply to the study of aging, mental health, and neurodegenerative disorders 🧠, particularly Alzheimer’s and suicide prevention in older populations. 📘

💼 Professional Experience

With more than two decades of hands-on experience in psychiatry 🩺, Dr. Rodrigues has served in numerous academic, clinical, and advisory roles. He is currently affiliated with prestigious institutions such as FAMEMA and FAMERP 🏥, where he has mentored students and young psychiatrists. His clinical work extends to treating geriatric patients and designing therapeutic interventions focused on mental health in aging populations 👨‍⚕️👵. He also collaborates with national psychiatric organizations and health ministries, shaping public mental health strategies in Brazil 🇧🇷. Dr. Rodrigues has held leadership roles in psychiatric units, research committees, and mental health policy development teams. Through teaching, supervision, and practice, he has impacted the mental health landscape significantly, advancing both education and care in psychogeriatrics 📊. His clinical precision and dedication continue to inspire peers and trainees alike.

🔬 Research Interests

Dr. Rodrigues’s research interests lie at the crossroads of psychiatry, neurology, and aging science 🔍. He is deeply focused on Alzheimer’s disease, cognitive decline, and suicide prevention in elderly populations 🧓💔. His investigations explore neuropathological markers, behavioral risk factors, and the efficacy of early intervention strategies 🧬. He is especially interested in using biomolecular techniques to identify early signs of psychiatric vulnerability, allowing for targeted treatment. Topics such as neuroinflammation, psychosocial stress, and therapeutic response to psychotherapy are central to his work 🧠. Dr. Rodrigues is also invested in developing interdisciplinary approaches that integrate clinical psychiatry with public health frameworks for mental wellness 🩺📈. His work has global relevance, contributing valuable data to international studies on geriatric mental health and offering practical tools for reducing suicide and cognitive disorders among older adults 🌍.

🏅 Awards and Honors

Dr. Juliano Rodrigues has received numerous accolades for his outstanding contributions to psychiatry and mental health research 🏆. Recognized by the Brazilian Psychiatric Association 🇧🇷 and other national medical bodies, his work in psychogeriatrics has earned him praise for innovation, compassion, and scientific rigor. He has been honored at both national and international levels for advancing suicide prevention in the elderly and improving diagnostic tools for Alzheimer’s disease 💡. Several of his articles have received best-paper awards in prominent psychiatric journals 📖. In addition, he has been invited as a keynote speaker at major global forums on mental health and aging 🗣️. These honors reflect not only his research excellence but also his tireless commitment to improving lives through psychiatry. His achievements continue to inspire the next generation of mental health professionals 🌟.

🧪 Research Skills

Dr. Rodrigues brings an exceptional range of research skills, blending clinical psychiatry with cutting-edge pathology and biomarker science 🔬. He is proficient in advanced neurodiagnostic methods, including histopathology, neuroimaging, and molecular biology 🧠🧫. He is adept at designing interdisciplinary studies, utilizing both quantitative and qualitative methods for comprehensive analysis 📊📋. His work emphasizes evidence-based outcomes, making him a skilled grant writer, research coordinator, and peer-reviewed author. Dr. Rodrigues is also experienced in conducting longitudinal cohort studies and applying statistical tools for health research 🔎. His collaborations with academic and public health institutions further extend his research impact across global platforms 🌐. Equally comfortable in the lab and clinic, his skillset enables him to link theory and practice effectively—pioneering new pathways in psychogeriatric intervention and early detection of mental decline.

Publications Top Note 📝

  • Title: Tau protein and major depressive disorder: A meta-analysis of biomarker studies
    Authors: Juliano Flávio Rubatino Rodrigues et al.
    Year: 2025
    Citation: Psychiatry Research, 2025-07, DOI: 10.1016/j.psychres.2025.116625
    Source: Crossref

  • Title: Suicidal Behavior in Alzheimer’s Disease: A Preliminary Study
    Authors: Juliano Flávio Rubatino Rodrigues et al.
    Year: 2025
    Citation: Psychiatry International, 2025-07-11, DOI: 10.3390/psychiatryint6030082
    Source: Crossref

  • Title: Semaglutide Associated with Central Serous Chorioretinopathy: A Case Report
    Authors: Lívia Peregrino Rodrigues et al.
    Year: 2025
    Citation: Brazilian Journal of Case Reports, 2025-06-11, DOI: 10.52600/2763-583X.bjcr.2025.5.1.bjcr93
    Source: Crossref

  • Title: Suicidal Behavior Comorbidities in Old Adults: A Systematic Review and Meta-Analysis v1
    Authors: Juliano Flávio Rubatino Rodrigues
    Year: 2025
    Citation: Preprint, 2025-04-11, DOI: 10.17504/protocols.io.kqdg3k6d1v25/v1
    Source: Crossref

  • Title: Loneliness as an interface between Alzheimer’s disease and suicide
    Authors: Juliano Flávio Rubatino Rodrigues
    Year: 2025
    Citation: Preprint, 2025-03-15, DOI: 10.17504/protocols.io.3byl4ze22vo5/v1
    Source: Crossref

  • Title: Cardiovascular Comorbidities in Alzheimer’s Disease: A Systematic Review and Meta-analysis v1
    Authors: Juliano Flávio Rubatino Rodrigues
    Year: 2025
    Citation: Preprint, 2025-03-12, DOI: 10.17504/protocols.io.261gerq1dl47/v1
    Source: Crossref

  • Title: Glycogen Synthase Kinase 3 (GSK-3) and Suicide: A Systematic Review v1
    Authors: Juliano Flávio Rubatino Rodrigues
    Year: 2025
    Citation: Preprint, 2025-03-10, DOI: 10.17504/protocols.io.e6nvwbx8zvmk/v1
    Source: Crossref

  • Title: Suicidal Behavior in Alzheimer’s Disease: A Preliminary Study
    Authors: Juliano Flávio Rubatino Rodrigues et al.
    Year: 2025
    Citation: Preprint, 2025-03-10, DOI: 10.20944/preprints202503.0604.v1
    Source: Crossref

  • Title: Tau and depression: A systematic review and Meta-analysis v1
    Authors: Juliano Flávio Rubatino Rodrigues
    Year: 2025
    Citation: Preprint, 2025-03-10, DOI: 10.17504/protocols.io.q26g7mqw8gwz/v1
    Source: Crossref

  • Title: Unusual High-Impact Frustration Experience – UNHIFE
    Authors: Juliano Flávio Rubatino Rodrigues; Gerardo Maria de Araújo Filho
    Year: 2025
    Citation: Preprint, 2025-01-22, DOI: 10.20944/preprints202501.1618.v1
    Source: Crossref

✅ Conclusion

Dr. Juliano Flávio Rubatino Rodrigues stands as a visionary figure in modern psychiatry, especially within the field of psychogeriatrics 🌟. His holistic approach—spanning education, clinical care, research, and public health—reflects a deep commitment to improving mental wellness among aging populations 👴🧠. From Alzheimer’s research to suicide prevention, he combines compassion with scientific precision to address some of society’s most complex mental health challenges. His many accolades and international engagements demonstrate the global relevance of his work 🌍. As a mentor, clinician, and scientist, Dr. Rodrigues continues to inspire trust, curiosity, and innovation in the psychiatric field. With a legacy built on integrity, intellect, and impact, he remains a guiding force in the evolution of geriatric mental health care and research for the decades to come 🔬🏅.

Michael Todinov | Mathematical Engineering | Best Researcher Award

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Prof. Michael Todinov | Mathematical Engineering | Best Researcher Award

Professor in Mechanical Engineering at Oxford Brookes University, School of Engineering, Computing and Mathematics, United Kingdom

Professor Michael Todinov is a trailblazing mind in the realm of applied mathematics, reliability engineering, and risk analysis 🌐📊. Renowned for his pioneering contributions to flow networks, reliability modeling, and probabilistic safety assessment, he has authored numerous influential papers and books that have reshaped contemporary engineering thinking 📘⚙️. With a unique approach that blends mathematical innovation with practical utility, Prof. Todinov has introduced novel methodologies for optimizing system performance under uncertainty and complexity 🔍🔧. His work is widely applied across infrastructure, manufacturing, and safety-critical systems, cementing his status as a visionary scholar and problem-solver 🏗️🧠. As a respected educator and thought leader, he continues to inspire a new generation of engineers and researchers to embrace analytical rigor with creative foresight 🎓💡. Driven by curiosity and excellence, Prof. Todinov’s legacy is a testament to the power of mathematical insight in transforming real-world systems 🌟📐.

Professional Profile

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🎓 Education

Prof. Michael Todinov’s educational journey 🌍 began with a First-Class Honours degree in Mechanical Engineering from the Technical University of Sofia 🎓, where his early fascination with precision and systems emerged. Driven by intellectual curiosity, he pursued a PhD at the University of Birmingham—an extraordinary accomplishment completed without formal supervision, based solely on published research 📚. Later, he earned a Doctor of Engineering (DEng), the UK’s equivalent of a DSc, for his pioneering work in probabilistic modeling and system reliability 🔍. This academic evolution reflects a rare synthesis of engineering insight ⚙️ and mathematical depth ➕, enabling him to approach challenges from a multidisciplinary perspective. His educational path has been marked by rigor, creativity, and trailblazing scholarship—qualities that continue to define his professional excellence today. 🧠

💼 Professional Experience

With over 30 years of experience 🌟, Prof. Todinov has held key roles across UK institutions, including his current position as Professor at Oxford Brookes University 🎓. Earlier, he led groundbreaking research as Head of Risk and Reliability at Cranfield University and served as a Research Scientist at the University of Birmingham 🧪. His professional journey blends academic excellence with real-world innovation 🌐, including collaborations with major organizations like BP, Total, and KIMM. His work spans failure modeling, flow network optimization, and engineering safety, using cutting-edge algorithms and simulation techniques 🧮. Whether developing industry solutions or mentoring PhD students 🎓, Prof. Todinov brings a unique fusion of creativity, logic, and leadership. His roles reflect a consistent dedication to advancing applied mathematics and making theory work in practice ⚒️.

🔬 Research Interests

Prof. Todinov’s research is a deep dive into the world of probability, optimization, and system reliability 🎯. He develops new theories and practical models that redefine how we assess risks and design safer, more efficient systems 💡. His focus areas include probabilistic risk reduction, algebraic inequalities, flow networks, and fracture mechanics 🧱. Notably, he challenged and corrected traditional reliability models 🔄, offering innovative alternatives with real-world impact. His algorithm for maximizing flow through damaged networks is the fastest known, making it vital for industries like energy ⚡ and infrastructure 🚧. He also introduced methods for reverse-engineering algebraic inequalities—a breakthrough in mathematical logic 🧠. Prof. Todinov’s work is both foundational and futuristic, balancing theoretical brilliance with powerful applications that influence global engineering and safety practices. 🔧

🏅 Awards and Honors

Prof. Todinov has been recognized globally for his exceptional work 🥇. He received honors from the Institution of Mechanical Engineers (UK) for his influential contributions to engineering risk reduction 🛡️. His Doctor of Engineering (DEng) was conferred in acknowledgment of his career-long breakthroughs in mathematical modeling, an award rarely granted and held by only a select few 🔝. His books—published by Wiley, Elsevier, and CRC Press—have become foundational references across academic and industrial communities 📖. He’s a frequent keynote speaker, journal editorial board member, and award-winning educator 🎤📘. His blend of academic impact and practical innovation has earned him international respect, with accolades that confirm his status as a pioneer in risk science and reliability engineering ⚙️. These honors reflect not just achievement, but lasting influence.

Conclusion

Prof. Michael Todinov stands as a brilliant example of how mathematics and engineering can shape real-world systems 🌐. His research has led to smarter designs, safer infrastructures, and more reliable systems worldwide 🛠️. By blending advanced theory with hands-on solutions, he’s redefined what it means to be an applied mathematician and engineer 🚀. Whether leading research, inspiring students 🎓, or developing the next breakthrough algorithm, his impact is wide-reaching and deeply rooted. As a thinker, educator, and innovator 💬, he’s left a legacy that transcends borders and disciplines. His work continues to elevate global standards in risk management, optimization, and system resilience, earning him a well-deserved place among the world’s top research minds 🧩. Prof. Todinov’s journey reminds us that the intersection of logic and creativity is where true innovation thrives. ✨

Publications Top Notes

📖 Title: Reverse Engineering of Algebraic Inequalities for System Reliability Predictions and Enhancing Processes in Engineering
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2024
🔢 Citations: 7
📖 Source: IEEE Transactions on Reliability 📰

📖 Title: Lightweight Designs and Improving the Load-Bearing Capacity of Structures by the Method of Aggregation
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2024
🔢 Citations: 1
📖 Source: Mathematics 📐

📖 Title: Enhancing the Reliability of Series-Parallel Systems With Multiple Redundancies by Using System-Reliability Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 2
📖 Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 🛠️

📖 Title: Reliability-Related Interpretations of Algebraic Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 5
📖 Source: IEEE Transactions on Reliability 🔧

📖 Title: Probabilistic Interpretation of Algebraic Inequalities Related to Reliability and Risk
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Quality and Reliability Engineering International 📊

📖 Title: Improving Reliability by Increasing the Level of Balancing and by Substitution
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science ⚙️

📖 Title: Can System Reliability Be Predicted from Average Component Reliabilities?
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Safety and Reliability 🔒

📖 Title: Improving System Reliability and the Probability of Selecting Reliable Components by Interpreting Algebraic Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
📖 Source: International Journal of Modelling, Identification and Control 🎯

📖 Title: On the Use of Analytical Inequalities for Improving Reliability and Reducing Risk
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
📖 Source: International Journal of Risk Assessment and Management ⚖️

📖 Title: Risk-based Reliability Analysis and Generic Principles for Risk Reduction
✍️ Authors: M.T. Todinov
📅 Year: 2006
🔢 Citations: 114
📖 Source: Elsevier 📈

📖 Title: On Some Limitations of the Johnson–Mehl–Avrami–Kolmogorov Equation
✍️ Authors: M.T. Todinov
📅 Year: 2000
🔢 Citations: 80
📖 Source: Acta Materialia 🧪

📖 Title: Necessary and Sufficient Condition for Additivity in the Sense of the Palmgren–Miner Rule
✍️ Authors: M.T. Todinov
📅 Year: 2001
🔢 Citations: 75
📖 Source: Computational Materials Science 🔬

📖 Title: Is Weibull Distribution the Correct Model for Predicting Probability of Failure Initiated by Non-Interacting Flaws?
✍️ Authors: M.T. Todinov
📅 Year: 2009
🔢 Citations: 58
📖 Source: International Journal of Solids and Structures 🏗️

📖 Title: Flow Networks: Analysis and Optimization of Repairable Flow Networks, Networks with Disturbed Flows, Static Flow Networks and Reliability Networks
✍️ Authors: M.T. Todinov
📅 Year: 2013
🔢 Citations: 54
📖 Source: Newnes 🌐

Shunli Wang | Mathematical Modeling | Lifetime Achievement Award

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Prof. Dr. Shunli Wang | Mathematical Modeling | Lifetime Achievement Award

Academic Dean at Inner Mongolia University of Technology, China

Professor Dr. Shunli Wang is an internationally esteemed leader in New Energy and Energy Storage Systems 🔋, serving as Executive Vice President of the Smart Energy Storage Research Institute and Academic Dean at Inner Mongolia University of Technology 🎓. A Fellow of the Institution of Engineering and Technology (IET) and an academician of the Russian Academy of Natural Sciences 🌍, he ranks among the world’s top 2% scientists according to Stanford University 📊. Dr. Wang has authored over 258 SCI-indexed papers 📚, secured 63 patents and standards ⚙️, and directed 56 significant national and international research projects 🧪. His pioneering work in battery modeling, fault diagnosis, and intelligent control has shaped the future of smart grid applications and energy storage technologies 🚀. Renowned for bridging academia and industry, he has led transformative collaborations and cultivated top-tier talent 👨‍🏫. Dr. Wang’s contributions are driving global progress toward sustainable, intelligent energy solutions 🌱🌐.

Professional Profile

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Education 🎓📘

Professor Dr. Shunli Wang laid a strong academic foundation with a Ph.D. in Control Theory and Control Engineering from Northeastern University, China, where he honed his expertise in systems modeling and intelligent energy control. His early education was marked by academic excellence, leading to prestigious scholarships and research opportunities 🌟. Dr. Wang’s academic journey included postdoctoral research and collaborative projects with globally renowned institutions, further enriching his interdisciplinary knowledge base 🧠. His education not only equipped him with advanced technical skills but also ignited his passion for sustainable energy systems and automation ⚙️. With a commitment to lifelong learning, he continues to evolve through global academic exchanges and cutting-edge workshops, fostering innovative solutions in new energy technologies 🔬. Dr. Wang’s educational pathway is a model of intellectual rigor, strategic focus, and forward-thinking vision, laying the groundwork for his profound contributions to academia and industry alike 🌐.

Professional Experience 🏢🧑‍🏫

Dr. Shunli Wang brings over two decades of impactful leadership in academia and industry. Currently, he is the Executive Vice President of the Smart Energy Storage Research Institute and Academic Dean at the Inner Mongolia University of Technology 🏫. Previously, he held pivotal roles in major research institutions and high-tech enterprises, leading teams on energy storage, intelligent control, and fault diagnosis projects 🔋. His career highlights include directing 56 national and international research projects and mentoring hundreds of graduate students 👨‍🎓👩‍🎓. As a respected academician of the Russian Academy of Natural Sciences and IET Fellow 🌍, Dr. Wang bridges the gap between theoretical innovation and real-world application. He actively consults on policy and industrial strategy for smart grids and battery management systems ⚡. His professional journey exemplifies versatility, vision, and dedication, placing him at the forefront of global advancements in energy and automation technologies 🚀.

Research Interests 🔬⚡

Professor Dr. Shunli Wang’s research spans cutting-edge domains in new energy systems and advanced control engineering. His primary focus lies in battery modeling, intelligent energy storage systems, smart grid applications, fault diagnosis, and predictive control technologies 🔋🧠. He has developed innovative algorithms for real-time system optimization, helping to improve the reliability, safety, and efficiency of large-scale energy infrastructures 🌐. Dr. Wang’s work often integrates artificial intelligence, machine learning, and digital twin technologies, creating adaptive and intelligent control systems that meet the demands of future energy needs 🤖📡. With over 258 SCI-indexed publications and dozens of patents, his research has significantly influenced policy, industry standards, and academic curricula. Passionate about bridging fundamental science and applied technology, he continuously fosters interdisciplinary collaborations that advance energy sustainability, automation, and environmental resilience 🌱. His research is a powerful catalyst for a cleaner, smarter, and more connected energy future 💡.

Awards and Honors 🏅🎖

Dr. Shunli Wang’s outstanding contributions have earned him numerous prestigious awards and honors worldwide. He is ranked among the top 2% of global scientists by Stanford University, recognizing his influential research output and academic impact 📈. As a Fellow of the Institution of Engineering and Technology (IET) and a member of the Russian Academy of Natural Sciences, his work is celebrated for its global reach and transformative outcomes 🌍. Dr. Wang has received multiple national science and technology awards, innovation prizes, and academic leadership honors 🏆. His patents and publications have been widely cited, further solidifying his status as a thought leader in smart energy and control systems ⚙️📘. He is frequently invited to serve on editorial boards, keynote panels, and international think tanks, reinforcing his role as a visionary in sustainable innovation. These accolades underscore not only his academic excellence but also his enduring commitment to technological progress and societal betterment 🌐✨.

Conclusion 🌟📌

Professor Dr. Shunli Wang stands as a beacon of excellence in the realm of intelligent energy systems, blending deep academic insight with practical innovation. His multifaceted contributions—from education and groundbreaking research to international collaborations and mentorship—have profoundly shaped the global energy landscape 🔋🌍. With a visionary approach and a relentless pursuit of excellence, Dr. Wang continues to influence emerging trends in energy sustainability, smart grid design, and AI-powered control systems ⚡🤖. His legacy is built on innovation, impact, and integrity, serving as an inspiration to scholars, engineers, and policymakers worldwide 🧑‍🎓🌱. As the world navigates the complexities of energy transition and climate resilience, thought leaders like Dr. Wang are lighting the path forward—empowering new generations to innovate boldly and act wisely 🌟🚀. His story is not only one of personal achievement but also of global significance in shaping a smarter, greener future for all 💡🌐.

Publications Top Notes

Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm

  • Authors: Hai Nan, Wang Shunli, Cao Wen, Blaabjerg Frede, Fernandez Carlos

  • Year: 2025

  • Source: Journal of Energy Storage ⚡🔋

    • Innovative fuzzy-based methods for battery state estimation.

A high-speed recurrent state network with noise reduction for multi-temperature state of energy estimation of electric vehicles lithium-ion batteries

  • Authors: Zou Yuanru, Shi Haotian, Cao Wen, Wang Shunli, Nie Shiliang, Chen Dan

  • Year: 2025

  • Source: Energy 🚗🔋

    • Advancements in multi-temperature battery state of energy estimation.

Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction

  • Authors: Wang Shunli, Zhou Heng, Fernandez Carlos, Blaabjerg Frede

  • Year: 2025

  • Source: Energy 💡🔋

    • Optimized algorithms for accurate battery performance estimation.

Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering

  • Authors: Wang Shunli, Luo Tao, Hai Nan, Blaabjerg Frede, Fernandez Carlos

  • Year: 2025

  • Source: Journal of Energy Storage ✈️🔋

    • Enhancing battery estimation for aviation applications.

Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence

  • Authors: Wang Shunli, Hu Bohan, Zhou Lei, Fernandez Carlos, Blaabjerg Frede

  • Year: 2025

  • Source: Journal of Energy Storage ❄️🔋

    • State-of-power estimation under extreme conditions.

Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features

  • Authors: Zhou Yifei, Wang Shunli, Li Zhehao, Feng Renjun, Fernandez Carlos

  • Year: 2025

  • Source: Journal of Energy Storage 🔋💡

    • Capacity estimation with advanced hybrid modeling techniques.

Enhanced transformer encoder long short-term memory hybrid neural network for multiple temperature state of charge estimation of lithium-ion batteries

  • Authors: Zou Yuanru, Wang Shunli, Cao Wen, Hai Nan, Fernandez Carlos

  • Year: 2025

  • Citations: 1

  • Source: Journal of Power Sources 🧠🔋

    • A hybrid approach for temperature-aware battery state estimation.

A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification

  • Authors: Chen Lei, Wang Shunli, Chen Lu, Fernandez Carlos, Blaabjerg Frede

  • Year: 2025

  • Source: Journal of Energy Storage 📊🔋

    • A multi-scale estimator for energy and battery performance.

Multiple measurement health factors extraction and transfer learning with convolutional-BiLSTM algorithm for state-of-health evaluation of energy storage batteries

  • Authors: Shi Zinan, Zhu Chenyu, Liang Huishi, Wang Shunli, Yu Chunmei

  • Year: 2025

  • Citations: 1

  • Source: Ionics 🔋💡

    • Health evaluation using advanced neural networks for energy storage.

Battery lumped fractional-order hysteresis thermoelectric coupling model for state of charge estimation adaptive to time-varying core temperature conditions

  • Authors: Zeng Jiawei, Wang Shunli, Takyi-Aninakwa Paul, Fernandez Carlos, Guerrero Josep Manuel Ramos

  • Year: 2025

  • Citations: 1

  • Source: International Journal of Circuit Theory and Applications ⚡❄️

    • State-of-charge estimation with adaptive temperature modeling.

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

  • Authors: Wang Shunli, Fan Y., Jin S., Takyi-Aninakwa P., Fernandez C.

  • Year: 2023

  • Citations: 371

  • Source: Reliability Engineering & System Safety 🔋🔮

    • Improved life prediction with noise-adaptive neural networks.

An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage influence

  • Authors: Wang S., Takyi-Aninakwa P., Jin S., Yu C., Fernandez C., Stroe D.I.

  • Year: 2022

  • Citations: 309

  • Source: Energy ⚡🔋

    • A more accurate prediction of battery state-of-charge over its lifecycle.

Transforming knowledge systems for life on Earth: Visions of future systems and how to get there

  • Authors: Fazey I., Schäpke N., Caniglia G., Hodgson A., Kendrick I., Lyon C., Page G.

  • Year: 2020

  • Citations: 306

  • Source: Energy Research & Social Science 🌍🌱

    • Future sustainability through knowledge system transformations.

 

Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

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Prof. Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

Professor at Technical University of Iasi, Romania

Prof. Daniel Condurache is a distinguished researcher and academic leader specializing in theoretical mechanics, robotics, orbital mechanics, and mathematical modeling. A Professor and PhD Supervisor at Gheorghe Asachi Technical University of Iași, he has held key leadership positions, including Vice-Rector and Head of Department. He is a Corresponding Member of the Romanian Academy and a Senior Member of IEEE, AIAA, AMS, ASME, and AAS, reflecting his international recognition. With over 100 research articles published in prestigious journals, his work spans integral transformations, Lie algebra, and spaceflight mechanics, earning him H-index scores of 12-18 across research databases. He also serves as an editor and reviewer for multiple scientific journals. His contributions to mechanical engineering, mechatronics, and robotics have shaped both academic and industrial research. While already a leading figure, increased international collaborations and industry applications could further enhance his impact. He is an outstanding candidate for the Best Researcher Award.

Professional Profile

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Education

Prof. Daniel Condurache holds a Ph.D. in Mechanical Engineering (Magna Cum Laude) from Gheorghe Asachi Technical University of Iași, Romania. He also earned an Engineering degree from the Polytechnic Institute of Iași, Faculty of Electronics and Telecommunications. Additionally, he pursued studies in Mathematics at Alexandru Ioan Cuza University of Iași, Romania, further enhancing his analytical skills. His strong academic foundation in mechanical engineering, robotics, and applied mathematics has significantly contributed to his expertise in kinematics, dynamics, and theoretical mechanics. Over the years, he has continued his research in advanced mathematical modeling, integral transformations, and Lie algebra applications in mechanics. His interdisciplinary education has allowed him to bridge gaps between engineering, physics, and mathematics, leading to groundbreaking contributions in robotics, orbital mechanics, and rigid body dynamics. His academic journey reflects a commitment to continuous learning and innovation in theoretical and applied mechanics.

Professional Experience

Prof. Condurache has had a distinguished academic career spanning over four decades at Gheorghe Asachi Technical University of Iași. He has held multiple leadership positions, including Vice-Rector, Head of the Department of Theoretical Mechanics, and Professor. His teaching portfolio includes Theoretical Mechanics, Modeling and Simulation of Mechanical Systems, and Mathematical Foundations of Robotics. Beyond academia, he has contributed as a Ph.D. supervisor in mechanical engineering, mentoring the next generation of researchers. He has also played a vital role in Romania’s academic and research policies as a member of CNATDCU (Mechanical Engineering, Mechatronics, and Robotics) and CCCDI (Ministry of Research, Innovation, and Digitalization). Additionally, he has served as an editor for academic journals and conference proceedings, reinforcing his influence in the field. His extensive experience across teaching, research, and administration highlights his dedication to advancing both academia and engineering innovation.

Research Interests

Prof. Condurache’s research focuses on higher-order kinematics, rigid body dynamics, orbital mechanics, robotics, and Lie algebra applications in engineering. His work integrates mathematics, physics, and engineering principles to develop innovative models for spacecraft dynamics, robotic manipulators, and multibody systems. He specializes in algebraic and geometric methods in dynamical systems, astrodynamics, dual quaternions, integral transformations, and wavelet analysis. His contributions to rigid body motion parameterization using dual tensors and Cayley transforms have been widely recognized in the academic community. His recent publications explore higher-order kinematics of multibody systems and gravitational interactions in non-inertial reference frames, with applications in celestial mechanics, robotics, and spaceflight mechanics. His interdisciplinary research has significantly advanced the understanding of complex mechanical systems and influenced fields such as aerospace engineering, automation, and computational kinematics.

Awards and Honors

Prof. Condurache’s achievements have earned him numerous accolades, including his election as a Corresponding Member of the Romanian Academy and the Academy of Technical Sciences in Romania. He is a Senior Member of IEEE, AIAA (American Institute of Aeronautics and Astronautics), ASME (American Society of Mechanical Engineers), and AMS (American Mathematical Society), demonstrating his global recognition in the scientific community. He is also a founding member of the Romanian Society of Theoretical and Applied Mechanics and has received multiple awards for his research contributions in mechanical engineering and robotics. His extensive publication record, with over 100 research papers in ISI-indexed journals, and an H-index reflecting significant citations, underscores his influence in the field. His impact extends beyond Romania, with collaborations in international research projects and editorial roles in prestigious scientific journals.

Conclusion

Prof. Daniel Condurache is a highly accomplished researcher, educator, and academic leader with an extensive career in mechanical engineering, robotics, and theoretical mechanics. His contributions to kinematics, multibody systems, and rigid body dynamics have significantly influenced both academic research and industrial applications. As a respected professor and Ph.D. supervisor, he has mentored numerous scholars, shaping the future of mechanical engineering and robotics. His global recognition through memberships in prestigious organizations and editorial contributions reflects his commitment to advancing scientific knowledge. With over four decades of experience, multiple leadership roles, and groundbreaking research, Prof. Condurache stands as a leading figure in modern engineering and applied mathematics. His work continues to push the boundaries of kinematic modeling, spaceflight mechanics, and robotic control, ensuring his lasting impact on both theoretical and applied sciences.

Publications Top Noted

  1. Title: Orthogonal Dual Tensor Method for Solving the AX=XB Sensor Calibration Problem

    • Authors: D. Condurache, A. Burlacu

    • Year: 2016

    • Citations: 107

    • Source: Mechanism and Machine Theory, Vol. 104, pp. 382-404

  2. Title: Dual Tensors-Based Solutions for Rigid Body Motion Parameterization

    • Authors: D. Condurache, A. Burlacu

    • Year: 2014

    • Citations: 74

    • Source: Mechanism and Machine Theory, Vol. 74, pp. 390-412

  3. Title: Relative Spacecraft Motion in a Central Force Field

    • Authors: D. Condurache, V. Martinuşi

    • Year: 2007

    • Citations: 48

    • Source: Journal of Guidance, Control, and Dynamics, Vol. 30 (3), pp. 873-876

  4. Title: Resistivity and Curie Point of Li‐Zn Ferrites

    • Authors: N. Rezlescu, D. Condurache, P. Petrariu, E. Luca

    • Year: 1974

    • Citations: 47

    • Source: Journal of the American Ceramic Society, Vol. 57 (1), pp. 40-40

  5. Title: Foucault Pendulum-Like Problems: A Tensorial Approach

    • Authors: D. Condurache, V. Martinuşi

    • Year: 2008

    • Citations: 45

    • Source: International Journal of Non-Linear Mechanics, Vol. 43 (8), pp. 743-760

  6. Title: Left Atrial Structure and Function are Associated with Cardiovascular Outcomes Independent of Left Ventricular Measures: A UK Biobank CMR Study

    • Authors: Z. Raisi-Estabragh, C. McCracken, D. Condurache, N. Aung, J.D. Vargas, et al.

    • Year: 2022

    • Citations: 41

    • Source: European Heart Journal – Cardiovascular Imaging, Vol. 23 (9), pp. 1191-1200

  7. Title: A Minimal Parameterization of Rigid Body Displacement and Motion Using a Higher-Order Cayley Map by Dual Quaternions

    • Authors: D. Condurache, I. Popa

    • Year: 2023

    • Citations: 2

    • Source: Symmetry, Vol. 15 (11), 2011

  8. Title: An Analysis of Higher-Order Kinematics Formalisms for an Innovative Surgical Parallel Robot

    • Authors: C. Vaida, I. Birlescu, B. Gherman, D. Condurache, D. Chablat, D. Pisla

    • Year: 2025

    • Citations: [Not available]

    • Source: Mechanism and Machine Theory, Vol. 209, 105986

  9. Title: An Overview of Higher-Order Kinematics of Rigid Body and Multibody Systems with Nilpotent Algebra

    • Authors: D. Condurache

    • Year: 2025

    • Citations: [Not available]

    • Source: Mechanism and Machine Theory, Vol. 209, 105959

  10. Title: About a Classical Gravitational Interaction in a General Non-Inertial Reference Frame: Applications on Celestial Mechanics and Astrodynamics

    • Authors: D. Condurache, M. Cojocari, I. Popa

    • Year: 2025

    • Citations: [Not available]

    • Source: Symmetry, Vol. 17 (3), 368

  11. Title: A Closed Form of Higher-Order Cayley Transforms and Generalized Rodrigues Vectors Parameterization of Rigid Motion

    • Authors: D. Condurache, M. Cojocari, I.A. Ciureanu

    • Year: 2024

    • Citations: [Not available]

    • Source: Mathematics, Vol. 13 (1), 114

  1. Title: Dual Lie Algebra Representations of the Rigid Body Motion

    • Authors: D. Condurache, A. Burlacu

    • Year: 2014

    • Citations: 35

    • Source: AIAA/AAS Astrodynamics Specialist Conference, 4347

  1. Title: Advances in Robot Kinematics

    • Authors: J. Lenarcic, C. Galletti

    • Year: 2004

    • Citations: 39

    • Source: Kluwer Academic

 

 

Muhammad Marwan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Marwan | Applied Mathematics | Best Researcher Award

Associate professor at Linyi university, China

Dr. Marwan Muhammad is a distinguished researcher in applied mathematics, specializing in bifurcation theory, chaos, fractals, mobile chaotic robots, control theory, synchronization, and secure communication. With an H-index of 11, he has published extensively in high-impact journals such as Fractals, Nonlinear Dynamics, and IEEE-IoT. Currently an Associate Professor at Linyi University, China, he has over a decade of teaching and research experience, including a postdoctoral fellowship at Zhejiang Normal University (ZJNU). His work integrates mathematical theory with practical applications in cryptography, robotics, and UAV dynamics. Dr. Muhammad has successfully supervised multiple Master’s students and collaborated on funded research projects. His global academic exposure, particularly in China and Pakistan, enhances his research perspective. While his contributions are significant, further international collaborations, industry engagement, and competitive research grants would solidify his standing as a leading expert in computational and applied mathematics.

Professional Profile

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Education

Dr. Marwan Muhammad holds a Ph.D. in Applied Mathematics from the Institute of Space Technology, Pakistan, where he specialized in nonlinear dynamics and stability analysis. His doctoral research focused on applying nonlinear tools to chaotic systems. He earned an M.S. in Mathematics from COMSATS Institute of Information Technology, Pakistan, with a thesis on Fejér-Hadamard inequalities for convex functions. His academic journey began with a B.S. in Mathematics from Islamia College University, Peshawar, where he was awarded a Gold Medal for his outstanding performance. His early education includes an HSSC and SSC from the Peshawar Board, securing top grades. Throughout his academic career, Dr. Muhammad demonstrated a strong foundation in theoretical and applied mathematics, equipping him with the expertise needed to excel in research and teaching. His education has played a pivotal role in shaping his research trajectory, particularly in bifurcation theory, chaos, fractals, and control systems.

Professional Experience

Dr. Marwan Muhammad has over a decade of experience in academia and research. He is currently an Associate Professor at Linyi University, China, where he teaches and supervises research in applied mathematics. Previously, he completed a postdoctoral fellowship at Zhejiang Normal University (ZJNU), China, focusing on advanced topics in nonlinear dynamics. His professional journey includes serving as a Lecturer at Islamabad Model Postgraduate College, Riphah International University, and the Higher Education Department of Peshawar. His teaching portfolio covers a broad range of mathematical disciplines, including computational mathematics, dynamical systems, and mathematical modeling. Additionally, he has worked on a research project funded by the Higher Education Commission (HEC) of Pakistan, leading to several high-impact publications. His international exposure, particularly in China and Pakistan, has enriched his academic perspective, allowing him to integrate diverse mathematical techniques into his research and contribute significantly to the global scientific community.

Research Interest

Dr. Marwan Muhammad’s research focuses on nonlinear dynamics, bifurcation theory, chaos, fractals, control theory, synchronization, and secure communication. His work in mobile chaotic robots and multi-scroll attractors has applications in cryptography, robotics, and artificial intelligence. He is particularly interested in the mathematical modeling of complex systems, including UAV dynamics, plasma systems, and satellite chaotic systems. His contributions extend to fractional calculus, where he has analyzed tumor-immune interactions and porous medium equations. His research also explores numerical methods for solving chaotic systems, emphasizing computational efficiency and accuracy. Dr. Muhammad’s interdisciplinary approach integrates mathematics, physics, and engineering, leading to innovative solutions for real-world problems. His recent publications in journals like Fractals and Nonlinear Dynamics demonstrate his ability to bridge theoretical insights with practical applications, positioning him as a key contributor to the fields of computational and applied mathematics.

Awards and Honors

Dr. Marwan Muhammad has been recognized for his academic excellence and research contributions. He was awarded a Gold Medal for securing the highest distinction in his undergraduate studies at Islamia College University, Peshawar. His research has been published in prestigious journals, highlighting his impact in the field of applied mathematics. His contributions to nonlinear dynamics and chaotic systems have earned him invitations to collaborate on international research projects. Additionally, his supervision of Master’s students and successful research collaborations reflect his commitment to academic mentorship. His work has received recognition from funding agencies such as the Higher Education Commission (HEC) of Pakistan, under which he successfully led research projects. While his accolades are notable, continued participation in international awards, securing competitive research grants, and expanding collaborations with leading global institutions would further elevate his reputation as a distinguished researcher in computational and applied mathematics.

Conclusion

Dr. Marwan Muhammad is an accomplished mathematician whose research in nonlinear dynamics, chaos, and fractals has significantly contributed to applied mathematics. With a strong educational foundation, international research experience, and extensive teaching background, he has established himself as a key figure in computational mathematics. His work has practical applications in cryptography, robotics, and control systems, making it relevant to both academia and industry. While his publications and collaborations are impressive, expanding his research network, securing additional funding, and engaging in interdisciplinary projects could further enhance his impact. His dedication to mentoring students and advancing mathematical knowledge underscores his potential for continued success. With sustained efforts, Dr. Muhammad is poised to become a leading authority in his field, driving innovation and discovery in mathematical sciences.

Publications Top Noted

  • Coexisting attractor in a gyrostat chaotic system via basin of attraction and synchronization of two nonidentical mechanical systems
    Authors: M. Marwan, V. Dos Santos, M.Z. Abidin, A. Xiong
    Year: 2022
    Citations: 11
    Source: Mathematics, 10(11), 1914

  • Retardational effect and Hopf bifurcations in a new attitude system of quad-rotor unmanned aerial vehicle
    Authors: M. Fiaz, M. Aqeel, M. Marwan, M. Sabir
    Year: 2021
    Citations: 11
    Source: International Journal of Bifurcation and Chaos, 31(09), 2150127

  • Control and numerical analysis for cancer chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, M. Shaukat
    Year: 2020
    Citations: 11
    Source: Archive of Applied Mechanics, 90, 2597-2608

  • Image cryptography communication using FPAA-based multi-scroll chaotic system
    Authors: K. Karawanich, J. Chimnoy, F. Khateb, M. Marwan, P. Prommee
    Year: 2024
    Citations: 8
    Source: Nonlinear Dynamics, 112(6), 4951-4976

  • Hopf bifurcation analysis for liquid-filled gyrostat chaotic system and design of a novel technique to control slosh in spacecrafts
    Authors: M. Sabir, S. Ahmad, M. Marwan
    Year: 2021
    Citations: 8
    Source: Open Physics, 19(1), 539-550

  • Investigation of fractional-ordered tumor-immune interaction model via fractional-order derivative
    Authors: G. Ali, M. Marwan, U.U. Rahman, M. Hleili
    Year: 2024
    Citations: 7
    Source: Fractals, 32(06), 1-10

  • Generalized Full Order Observer Subject to Incremental Quadratic Constraint (IQC) for a Class of Fractional Order Chaotic Systems
    Authors: M. Marwan, M.Z. Abidin, H. Kalsoom, M. Han
    Year: 2022
    Citations: 7
    Source: Fractal and Fractional, 6(4), 189

  • Generation of multi-scrolls in coronavirus disease 2019 (COVID-19) chaotic system and its impact on the zero-COVID policy
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 6
    Source: Scientific Reports, 13, 13954

  • Novel approaches for solving fuzzy fractional partial differential equations
    Authors: M. Osman, Y. Xia, M. Marwan, O.A. Omer
    Year: 2022
    Citations: 6
    Source: Fractal and Fractional, 6(11), 656

  • Montgomery identity and Ostrowski-type inequalities for generalized quantum calculus through convexity and their applications
    Authors: H. Kalsoom, M. Vivas-Cortez, M.Z. Abidin, M. Marwan, Z.A. Khan
    Year: 2022
    Citations: 6
    Source: Symmetry, 14(7), 1449

  • Adaptive observer design for systems with incremental quadratic constraints and nonlinear outputs—application to chaos synchronization
    Authors: L. Moysis, M. Tripathi, M.K. Gupta, M. Marwan, C. Volos
    Year: 2022
    Citations: 6
    Source: Archives of Control Sciences, 32

  • Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization
    Authors: M. Marwan, F. Li, S. Ahmad, N. Wang
    Year: 2025
    Citations: 5
    Source: Nonlinear Dynamics, 113(3), 2377-2390

  • Chaotic behavior of Lorenz-based chemical system under the influence of fractals
    Authors: M. Marwan, A. Xiong, M. Han, R. Khan
    Year: 2024
    Citations: 4
    Source: Match Communications in Mathematical and Computer Chemistry, 91(2), 307-336

  • Control analysis of virotherapy chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, A. Rafiq
    Year: 2022
    Citations: 4
    Source: Journal of Biological Dynamics, 16(1), 585-595

  • Hidden covers (wings) in the fractals of chaotic systems using advanced Julia function
    Authors: M. Marwan, M. Han, M. Osman
    Year: 2023
    Citations: 3
    Source: Fractals, 31(09), 2350125

  • Generalized external synchronization of networks based on clustered pandemic systems—The approach of COVID-19 towards influenza
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 3
    Source: PLOS ONE, 18(10), e0288796

  • Existence of Solution and Self‐Exciting Attractor in the Fractional‐Order Gyrostat Dynamical System
    Authors: M. Marwan, G. Ali, R. Khan
    Year: 2022
    Citations: 3
    Source: Complexity, 2022(1), 3505634

  • On the analytical approach of codimension-three degenerate Bogdanov-Takens (BT) bifurcation in satellite dynamical system
    Authors: M. Marwan, M.Z. Abidin
    Year: 2023
    Citations: 2
    Source: Journal of Nonlinear Modeling and Analysis

  • On the global well-posedness of rotating magnetohydrodynamics equations with fractional dissipation
    Authors: M.Z. Abidin, M. Marwan, H. Kalsoom, O.A. Omer
    Year: 2022
    Citations: 2
    Source: Fractal and Fractional, 6(6), 340

  • Semi-analytical analysis of a fractional-order pandemic dynamical model using non-local operator
    Authors: M. Marwan, G. Ali, F. Li, S.A.O. Abdallah, T. Saidani
    Year: 2025
    Source: Fractals

 

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)