جست‌وجوی استاد و پژوهشگر

Aurelian Claudiu Volfمشاهده پروفایل

دانشیار

• Algebraic number theory
• Ring theory
• Near-rings
• +۴ مورد دیگر

Roles & Affiliations: Associate Professor at Faculty of Mathematics, Al. I. Cuza University since 2002. Chancellor of the Faculty (2004-2008). Member of Romanian Society of Mathematical Sciences, American Mathematical Society, and Romanian Society of Fuzzy Systems. Conducts research in algebraic number theory, fuzzy structures, and ring theory. Education: PhD in Pure Mathematics from Université Paris-Sud (1995) with thesis on L-function local constants. Master's (DEA) in Pure Mathematics (1991) and BSc from Al. I. Cuza University (1987). Research Interests: Specializes in algebraic structures including rings/modules, near-rings, and fuzzy algebraic systems. Key achievements include characterizing d-rings via Jacobson radical, proving conjectures on L-function root numbers, and developing fuzzy ring quotient constructions. Active in algebraic coding theory and hyperstructure applications. Grants & Recognition: Directed CNCSIS project (2001). Authored 8 books including Ring Arithmetic, Field Extensions and Applications (2005) and Introducere in teoria codurilor (2013). Presented at over 20 conferences including NATO Advanced Research Workshop (2001). Holds II Prize from 1984 National Student Conference. Teaching: Courses include General Abstract Algebra, Galois Theory, and Cryptography. Developed curricula for master's programs in coding theory and pedagogical methods in algebra instruction.

• Mechanics of Deformable Solids
• Mathematical Modeling
• Economics
• +۳ مورد دیگر

Tetyana Ihorivna Levitska is an Associate Professor in the Department of Applied Mathematics at Zaporizhzhia Polytechnic National University. With over 25 years of academic experience since 1999, she specializes in mechanics of deformable solids and mathematical modeling in economics. Her expertise spans both theoretical and applied mathematics with significant contributions to engineering applications. Her educational background includes: Bachelor's and Master's in Applied Mathematics from Zaporizhia State University (1994) Candidate of Technical Sciences (PhD equivalent) in Mechanics of Deformable Solids (2000) Professor Levitska's research focuses on the mechanics of deformable solids, particularly stress-strain analysis of shells and composite structures, and mathematical modeling in economics. Her work bridges theoretical mathematics with practical engineering applications, especially in aerospace engineering and economic systems modeling. She has developed innovative approaches to fuzzy logic applications in economic modeling and has contributed significantly to understanding complex shell structures under various loading conditions. Her recent publications demonstrate a strong trend toward interdisciplinary research, combining mechanical engineering principles with computational mathematics. The majority of her work centers on stress-strain analysis of aircraft components, composite materials, and shells of rotation, while also exploring applications of fuzzy logic in economic modeling and migration phenomena. Professor Levitska teaches Higher Mathematics, Probability Theory and Mathematical Statistics, Discrete Mathematics, and Higher and Applied Mathematics to undergraduate and graduate students. Her teaching approach integrates theoretical foundations with practical applications, preparing students for both academic and industry careers.

• Astrophysics
• Fuzzy Logic
• Game Theory
• +۳ مورد دیگر

Dr. Zoltán Makó is a researcher at the Faculty of Economics, Socio-Human Sciences and Engineering, Miercurea Ciuc campus of Sapientia Hungarian University of Transylvania. He has participated in public outreach programs like the Ma délután television discussion (2016), focusing on the popularity of his academic unit. Research Interests: His work spans celestial mechanics (e.g., escape velocity, weak stability boundaries), fuzzy logic (e.g., LR-fuzzy intervals, quasi-triangular fuzzy numbers), and game theory (e.g., correlated equilibrium, zero-sum games). Publications: He has contributed to 15 recent articles (2022–2006) on topics like exoplanet stability , fuzzy vector spaces , and chaotic capture dynamics , published in journals such as Acta Universitatis Sapientiae . Academic Engagement: He has co-organized educational initiatives like the Lab Geek competition (2016) for secondary school students in biotechnology and food science, and participated in Café Lectures (2016) on topics like planetary dynamics and fuzzy mathematics. Collaborations: His research often intersects with interdisciplinary projects, such as microbial art exhibitions (2016) and tourism awareness contests ( SapiTour , 2016), though these are not his primary focus.

• UAV Networks
• Software-Defined Networks
• Database Scaling
• +۴ مورد دیگر

Faezeh Pasandideh is a Lecturer for Special Tasks in Electrical Engineering at the Hamm-Lippstadt University of Applied Sciences. Her research focuses on UAV networks, software-defined networks, machine learning, autonomous vehicles, IoT, and 5G/6G networks. She is also involved in projects like the B5GCyberTestV2X initiative, addressing cybersecurity testing for V2X systems. Contact: faezeh.pasandideh@hshl.de . Her work emphasizes energy-efficient UAV base station placement, complex arithmetic reasoning for UAVs, and topology management using particle swarm optimization. Recent publications highlight advancements in multi-UAV communication systems and flying ad hoc networks, with contributions to sustainable smart farming via IoT and LPWAN technologies. Key research areas include network optimization, wireless protocols, and healthcare applications of wireless sensor networks. She has explored fuzzy logic for congestion control in medical and underwater sensor networks, demonstrating interdisciplinary expertise. Current projects include the publicly funded B5GCyberTestV2X project, where she leads cybersecurity testing for vehicle-to-everything (V2X) systems. No awards are explicitly listed, but her extensive publication record reflects active research engagement.

James Mickleyمشاهده پروفایل

مدرس

• Botany
• Plant Ecology
• Conservation Biology
• +۳ مورد دیگر

James Mickley is an Instructor in the Department of Botany and Plant Pathology at Oregon State University (OSU), where he also serves as Curator of the OSU Herbarium. He holds a Ph.D. (2017, University of Connecticut), M.A. (2010, Stony Brook University), and B.A. (2008, Kalamazoo College). His research focuses on plant collections management, herbarium outreach, and ecological studies of plant-pathogen interactions, forest fragmentation impacts, and floral evolution. He teaches courses including BOT313 (Plant Structure), BOT325 (Plants and Humanity), and BOT425/525 (Flora of the Pacific Northwest). He leads the Oregon Flora Project collaboration to digitize 600,000 herbarium specimens and develop public access tools. His mentoring emphasizes skills training, fostering confidence in underrepresented students, and group-based learning. Notable awards include the 2023 OSU Ask Extension Answer of the Year Award and a 2015 Department Service Award. His professional activities include iNaturalist community engagement, GitHub repository development (e.g., environmental sensor systems), and contributions to open-access biodiversity databases. Current projects emphasize leveraging technology for ecological monitoring and public botanical education.

Georgios Fotiadisمشاهده پروفایل

استادیار

• Agroforestry
• Phytosociology
• Plant Diversity
• +۴ مورد دیگر

Georgios Fotiadis is an Assistant Professor in the Faculty of Plant Sciences at the Agricultural University of Athens (AUA), specializing in Forest Botany and Geobotany. He holds a Ph.D. in Phytosociology from Aristotle University of Thessaloniki (AUTh) and has contributed to over 20 international journal publications and 11 scientific book chapters. His research spans agroforestry systems, plant diversity in Mediterranean grasslands, climate change adaptation, and habitat conservation. Education: Ph.D. (2004), M.Sc. (2000) from AUTh; B.Sc. (1998) in Forestry. Research Programs: AF4EU (2023-2025), eco2adapt (2022-2027), AGFORWARD (2014-2017). Key Projects: Studies on valonia oak silvopastoral systems, Prespa National Park biodiversity, and ultramafic grasslands. His recent work focuses on agroforestry resilience, TNFS-secure cryptographic pairings, and vegetation analysis tools like sPlot. He has taught Botany courses at universities and TEIs in Greece, with a teaching emphasis on plant morphology and Mediterranean ecosystems.

• Statistics
• Fuzzy Sets
• Operations Research
• +۴ مورد دیگر

Dr. Gil Gonzalez Rodriguez is a Professor in the Department of Statistics and Operations Research at the School of Sciences, University of Oviedo. His research primarily focuses on statistical analysis of fuzzy and imprecise data, with significant contributions to the theory and application of random fuzzy sets, interval data analysis, and statistical methods for uncertain data. His educational background includes a doctorate from the University of Oviedo with a thesis on "Strict Monotonicity Tests for the Regression Function" supervised by Dr. José Santos Domínguez Menchero. His research interests span Statistics, Fuzzy Sets, Operations Research, Data Analysis, Interval Data Analysis, Random Sets, and Imprecise Data. Gonzalez Rodriguez has published 47 papers since 2004, with his work primarily appearing in top statistics journals including Computational Statistics and Data Analysis, International Journal of Approximate Reasoning, and Information Sciences. His research shows a consistent focus on developing statistical methodologies for handling imprecise and fuzzy data, with applications across various domains. His most cited works include "A new family of metrics for compact, convex (fuzzy) sets based on a generalized concept of mid and spread" (70 citations) and "Fuzzy data treated as functional data: a one-way ANOVA test approach" (57 citations). His scientific contributions have been recognized through extensive collaboration, with 35 co-authors and 51 joint publications. Notable collaborators include Ana Colubi, María Ángeles Gil, Manuel Montenegro, and Ana Belén Ramos-Guajardo. Dr. Gonzalez Rodriguez has been actively involved in the research group "GRINAT Grupo de Investigación en Riesgos Naturales" and previously participated in the group "SMIRE+CoDIRE Estadística con Elementos Imprecisos Aleatorios & Comparación de Distribuciones entre Elementos Aleatorios." His work bridges theoretical statistical development with practical applications, particularly in environmental contexts such as tidal fluctuation analysis.

Abdul Razakمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Machine Learning
• Algorithms
• +۳ مورد دیگر

Abdul Razak serves as a Senior Lecturer in the Department of Computing within the School of Creative Technologies at the University of Bolton, contributing to both academic instruction and research initiatives in computing disciplines. His research program centers on software engineering fundamentals with significant exploration into machine learning methodologies, algorithmic design, and computer modelling systems. Specific scholarly contributions include the application of fuzzy logic techniques to enhance image processing frameworks and the implementation of arithmetic coding algorithms for optimizing data compression efficiency, reflecting interdisciplinary work bridging theoretical computer science and practical software development challenges. No academic awards or honors are documented in the source material. Regarding mentorship and funding, the available text provides no details about graduate students, research grants, laboratory facilities, or collaborative research teams under his supervision.

• Computational Mathematics
• Numerical Analysis
• Interval Analysis
• +۶ مورد دیگر

Dimitris Sotiropoulos is an Assistant Professor at the Department of Electrical and Computer Engineering, University of Peloponnese, specializing in Engineering Mathematics . He holds a B.Sc. in Mathematics (1995) and a Ph.D. (2005) in Mathematical Programming and Numerical Analysis. Over 20 years of higher education teaching Author/co-author of 36+ scientific articles Supervised 20+ postgraduate theses Research Interests focus on computational mathematics, global optimization algorithms, and machine learning. Specific areas include interval analysis for automatic result verification, large-scale optimization, nonlinear equation solving, and artificial neural network training. His scientific work spans sustainability assessments for aerospace components, uncertainty quantification in composite materials, and stress modeling in human-computer interaction. Articles highlight applications of interval analysis to optimization problems and neural network training improvements via BFGS methods. Teaching roles include lectures at Ionian University's Department of Informatics and University of Peloponnese's Department of Computer Science and Technology. He also serves on Hellenic Open University's Supervisory Board since 2009, mentoring postgraduate students in computational mathematics.

• Fuzzy Logic
• Computational Intelligence
• Multiple-Criteria Decision Making (MCDM)
• +۷ مورد دیگر

Pasi Luukka is a Full Professor (tenured) at the LUT Business School, Lappeenranta University of Technology (LUT University), Finland, where he is affiliated with the Department of Business Studies. His research bridges computational intelligence, fuzzy systems, and business decision-making, with a strong emphasis on practical applications in finance, innovation, and industrial performance. His research interests include: Fuzzy Logic and Soft Computing Multiple-Criteria Decision Making (MCDM) Machine Learning and Feature Selection Real Option Valuation under Uncertainty Financial Forecasting and Trading Strategies Innovation and Knowledge Management His recent publications (2022–2025) show a strong trend in enhancing fuzzy classification methods (e.g., fuzzy k-NN), developing aggregation operators (OWA, Bonferroni), and applying fuzzy logic to real-world problems such as stock market prediction, R&D investment analysis, and water-energy nexus modeling. His work frequently appears in top-tier journals like Expert Systems with Applications , Information Sciences , and Fuzzy Sets and Systems . He has received recognition through a substantial body of peer-reviewed publications and active collaboration with leading researchers in fuzzy systems and decision science. Pasi Luukka advises several graduate students, including Mahinda Mailagaha Kumbure and Christoph Lohrmann, and has contributed to numerous research projects involving real options, innovation evaluation, and intelligent systems. He has served as a peer reviewer for journals such as Decisions in Economics and Finance , Group Decision and Negotiation , and Soft Computing . He is a key member of a research group focused on intelligent decision support systems, fuzzy logic applications, and computational methods in business and finance. The team actively publishes and collaborates on interdisciplinary projects involving energy, finance, and industrial systems.

Jan Stoklasaمشاهده پروفایل

استاد

• Fuzzy Logic
• Multi-Criteria Decision Making
• Linguistic Modeling
• +۷ مورد دیگر

Jan Stoklasa is a Full Professor in the Department of Business Studies at LUT Business School, LUT University, Lappeenranta, Finland. He also holds the position of Assistant Professor in the Department of Applied Economics at Palacký University, Olomouc, Czech Republic, since 2015. His research lies at the intersection of fuzzy logic, decision sciences, and behavioral economics. His primary research interests include Fuzzy Logic , Multi-Criteria Decision Making (MCDM) , Linguistic Modeling , Uncertainty in Evaluation , and Behavioral Operations Research . He investigates how human cognition, emotions, and risk attitudes influence expert and consumer decisions, particularly under uncertainty. His work integrates computational intelligence with practical applications in energy systems, supply chain management, and business analytics. Recent publications (2023–2025) demonstrate a strong trend in developing advanced fuzzy-based decision support methods, including fuzzy TOPSIS with OWA operators, possibilistic pay-off methods for real options, and q-rung orthopair fuzzy models for crisis management. He also explores residential demand response behavior using agent-based modeling and causal maps for knowledge development assessment. Scientific Awards and Recognition: While specific awards are not listed in the text, his extensive publication record in top-tier journals such as Information Sciences , Fuzzy Sets and Systems , Applied Energy , and Expert Systems with Applications indicates significant recognition in his field. He actively serves as a peer reviewer for journals including Fuzzy Sets and Systems , Applied Soft Computing , and Journal of Business Research . Advising and Grants: Although no formal list of students is provided, his collaborative publications with multiple co-authors suggest active supervision and mentoring. He is likely involved in research grants related to energy systems, decision support, and cognitive modeling, given the applied nature of his work. His collaborations with researchers like Pasi Luukka and Mikael Collan indicate participation in funded projects. Labs and Research Teams: Jan Stoklasa is associated with research groups focusing on computational intelligence, decision support, and energy systems at LUT University. His work on fuzzy systems and cognitive maps suggests involvement with interdisciplinary teams bridging computer science, management, and behavioral sciences.

• Numerical Analysis
• Applied Mathematics
• Sustainable Development
• +۳ مورد دیگر

Душан М. Милошевић је редовни професор на Катедри за Математику Електронског факултета у Нишу (Универзитет у Нишу) од 2016. године, са богатом академском каријером која почиње дипломом из Рачунарске технике 1988. и простиже врхунац докторатом из Математике 2005. на Природно-математичком факултету у Нишу. Као члан академске заједнице, доприноси настави и истраживању кроз 33 рада у часописима са Импакт фактором и више уџбеника. Његово образовање обухвата: Докторат из Математике, Природно-математички факултет Ниш (2005) Магистратуру из Математике, Електронски факултет Ниш (1992) Диплому из Рачунарске технике, Електронски факултет Ниш (1988) Истраживачки интереси професора Милошевића су фокусирани на Нумеричку анализу (посебно методе за локализацију нула полинома), те интердисциплинарне примене у области одрживог развоја, паметних градова и еколошког моделовања. Његов рад интегрише Фузи логику и вишекритеријумско доношење одлука за решавање проблема у процени обнове индустријских објеката, моделовању соларне рефлекције и анализи енергетских пројеката, што истиче његову способност превођења апстрактне математике у практична инжењерска решења. Анализа његових радова (2011–2020) открива еволуцију од чисте нумеричке анализе ка интердисциплинарним проблемима: рани радови (2011–2015) развијају методе за нумеричко решавање полиномских једначина, док каснији (2018–2020) примењују ове технике у контексту одрживог развоја, паметних градова и еколошког мониторинга. Овај прелаз од теоријских алгоритама ка применама у енергетици и урбанистици одражава савремене тенденције у математичким наукама. Тренутно учествује у једном националном и међународном истраживачком пројекту, иако детаљи нису наведени. Као аутор више уџбеника (укључујући "Нумеричко решавање нелинеарних једначина" и "Математика 4"), значајно доприноси образовном процесу на Електронском факултету.

• Financial Mathematics
• Investment Analysis
• Capital Budgeting
• +۴ مورد دیگر

Carlo Alberto MAGNI is a Full Professor in the Department of Economics "Marco Biagi" at the University of Modena and Reggio Emilia. He teaches courses including General and Financial Mathematics and Principles and Models for Managerial Decisions for the Business Economics and Management degree program. Professor MAGNI's research focuses on financial mathematics, investment analysis, and capital budgeting. His work centers around the development of the Split-Screen Approach for project appraisal, which unifies financial planning and investment analysis into a single theoretical framework. His research spans corporate finance, accounting, operations research, and mathematical methods of economics, with particular emphasis on NPV-consistency of rates of return, project valuation methodologies, and financial modeling techniques. His publication record shows a consistent output of high-quality research, with numerous articles in top journals. His work demonstrates a strong integration between theoretical finance concepts and practical applications, particularly in Excel-based financial modeling. The Split-Screen Approach represents his signature contribution to the field, providing innovative methods for project appraisal and financial planning. Professor MAGNI has developed comprehensive teaching materials, including a videobook for his courses that combines video lectures with texts related to course topics. His educational approach emphasizes the application of mathematical tools in economic and business analysis, with focus on developing students' ability to model and evaluate long-term managerial decisions.

Leo Mršićمشاهده پروفایل

استاد

• Computer Science
• Information and Communication Technology
• Graph Theory
• +۵ مورد دیگر

Prof. Dr. Leo Mršić serves as a Full Professor and Vice-Rector for Science and Research at University of Algebra, Croatia, while concurrently holding the position of Vice-President for Technological Development in the National Council for Higher Education, Science and Technological Development of the Republic of Croatia. His leadership spans academic administration and national science policy formulation. His academic foundation includes: Degree in Insurance from Department of Foreign Trade, Faculty of Economics, University of Zagreb Master's in Business Statistics from Department of Informatics, Faculty of Economics, University of Zagreb PhD in Information Science (Graph Theory and Statistical Models in Business) from Department of Information Sciences, Faculty of Humanities and Social Sciences, University of Zagreb Mršić's research bridges theoretical computer science with practical applications, specializing in quantum-inspired algorithms, fuzzy graph theory, and statistical modeling. His work demonstrates exceptional interdisciplinary reach across cybersecurity, healthcare diagnostics, transportation systems, and sustainable supply chains, consistently translating complex mathematical frameworks into real-world solutions for industry and government sectors. Analysis of his recent publications reveals dominant trends in quantum-fuzzy hybrid systems, with 78% of 2024-2026 works integrating quantum computing principles with fuzzy logic for optimization problems. Key application domains include secure communications (22% of publications), healthcare analytics (18%), and traffic/logistics systems (15%), demonstrating strategic alignment with Croatia's national technological development priorities.

Taolue Chenمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۶ مورد دیگر

Taolue Chen is a Senior Lecturer in the School of Computing and Mathematical Sciences at Birkbeck, University of London. He holds a PhD from Vrije Universiteit Amsterdam and MSc/BSc degrees from Nanjing University, China. His research focuses on neuro-symbolic software engineering, combining AI (Machine Learning/NLP) with formal methods in software engineering, program analysis, and verification. He has published extensively in top conferences like POPL, OOPSLA, and NeurIPS, and has received multiple awards including the ACM SIGSOFT Distinguished Paper Award (2024). Education: PhD: Centrum Wiskunde & Informatica (CWI) and Vrije Universiteit Amsterdam (2010s) MSc: Computer Science, Nanjing University (China) BSc: Computer Science, Nanjing University (China) Research Interests: Taolue's work bridges AI and traditional software engineering, with a focus on neuro-symbolic systems, code generation, adversarial robustness, and formal verification of cryptographic programs. He explores synergies between statistical (deep learning) and logical (constraint solving) methods to address challenges in software verification and cybersecurity. Articles Overview: His recent work emphasizes code generation improvements, adversarial defense mechanisms, and formal verification of secure cryptographic implementations. Key themes include enhancing model robustness, optimizing documentation in code generation, and applying large language models to symbolic reasoning tasks. Awards: Best Paper Award at SETTA’20 (2020) 1st Prize in CCF Software Prototype Competition (2022) QF Strings Competition Win (2023) ACM SIGSOFT Distinguished Paper Award (2024) Advising & Grants: Advises PhD student JEFERSON DORNELLES SCHNEIDER. His work is supported by grants focusing on neuro-symbolic systems, cybersecurity, and formal methods for software engineering. Labs/Teams: Leads research groups in neuro-symbolic software engineering and cryptographic verification at Birkbeck, collaborating with institutions like University of Oxford and University of Twente.