جست‌وجوی استاد و پژوهشگر

Nada Damljanovićمشاهده پروفایل

استاد

• Mathematics
• Automata Theory
• Fuzzy Systems
• +۴ مورد دیگر

Nada Damljanović is a Full Professor at the Department of Mathematics within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. Her academic progression includes positions as Junior Teaching Assistant (2003-2007), Teaching Assistant (2007-2012), Assistant Professor (2012-2017), Associate Professor (2017-2022), and Full Professor (2022-present). Education includes: BSc in Mathematics (2002) from University of Belgrade MSc in Mathematics (2007) from University of Niš PhD in Mathematics (2012) from University of Niš Her research focuses on automata theory , fuzzy systems , semiring structures , and multi-criteria decision-making methods . She investigates mathematical foundations of weighted automata, lattice-based algebraic structures, and applications in engineering decision models. Recent work explores fuzzy relation inequalities and computational methods for automata equivalence. Publications predominantly address mathematical modeling in computer science and decision theory. Most articles focus on automata bisimulations (2010-2014), shifting toward multi-criteria analysis and applied mathematical methods in engineering (2015-2020). Recent works integrate mathematical frameworks with signal processing and electrical engineering applications. She leads/participates in key research projects: Quantitative automata models (QUAM, 2022-2024) Computation methods development (174013, 2011-present) Weighted pushdown automata (DFG-funded, 2019-2020) Algebraic structures in information processing (144011, 2006-2010) Editorial activities include Co-Editor-in-Chief of Mathematica Moravica and Associate Editor for Kragujevac Journal of Mathematics . Teaches undergraduate courses in Mathematics, Discrete Mathematics, and Quantitative Methods, plus graduate courses in Mathematical Modeling and Fuzzy Systems.

• Integrable Systems
• Poisson Geometry
• Discrete Geometry
• +۱۲ مورد دیگر

Gloria Marí Beffa is a Professor of Mathematics and Associate Dean for Research in the College of Letters and Science at the University of Wisconsin–Madison. She has held significant leadership roles, including Chair of the Mathematics Department (2014–2018) and Interim Associate Dean for Research (2020–2023). Her academic home is the Department of Mathematics, where she conducts research and contributes to academic governance. Ph.D. in Mathematics, University of Minnesota–Twin Cities, 1991 Licenciatura, Universidad de Málaga, Spain, 1985 Her research lies at the intersection of geometry and integrable systems, focusing on discrete and continuous geometric flows, Poisson structures, differential invariants, and moving frames. She investigates the algebraic and geometric foundations of integrable systems, especially through the lens of Lie group actions and invariant theory. Her work connects abstract mathematical structures to concrete geometric evolutions, such as the pentagram map and its generalizations. The recent publications highlight a consistent focus on discrete integrable systems, particularly lattice W-algebras, twisted polygons, and discrete moving frames. These works reveal deep connections between algebraic structures (like Adler-Gel'fand-Dikii brackets) and geometric configurations (like centro-affine polygons). The trend shows increasing sophistication in discrete geometry and its application to soliton theory and Hamiltonian systems. Letters and Science Academic Staff Excellence Mid-Career Award, 2006 Letters and Science Faculty Advising Award, 2007–08 Philip R. Certain Award, 2011–12 Simons Fellowship, 2012–13 Gloria Marí Beffa has advised numerous students and collaborated widely, including with Elizabeth Mansfield and Anton Izosimov. She has secured prestigious recognition and funding, such as the Simons Fellowship, supporting her research in integrable systems and geometric invariants. Her leadership roles reflect her significant contributions to both research and academic service. She leads or participates in interdisciplinary initiatives connecting geometry, algebra, and computational mathematics. She is actively involved in research groups and seminars focused on symmetry, integrability, and geometric methods. Her collaborations span institutions in the U.S., Europe, and Mexico. She frequently presents at international conferences and workshops on integrable systems and differential geometry. Her work contributes to foundational developments in discrete differential geometry and its applications.

• Integrable Systems
• Discrete Geometry
• Poisson Geometry
• +۴ مورد دیگر

Gloria Marí Beffa is a Professor of Mathematics and Associate Dean for Research in the College of Letters and Science at the University of Wisconsin-Madison. She has served on the faculty since 1997, progressing from Assistant Faculty Associate to Professor (2010-present), while holding significant administrative roles including Mathematics Department Chair (2014-2018) and current Associate Dean for Research since 2023. Her educational background includes a Ph.D. in Mathematics from the University of Minnesota (1991) supervised by Jack F. Conn, and dual Licenciatura degrees from the University of Málaga, Spain (1985). Marí Beffa's research centers on geometric foundations of integrable systems , with pioneering work on discrete moving frames, pentagram map generalizations, and Poisson structures. Her investigations bridge continuous and discrete geometries, focusing on differential invariants, projective/parabolic geometries, and applications to image processing. This interdisciplinary approach reveals deep connections between algebraic structures and geometric evolution equations. Analysis of her recent publications (2011-2024) shows consistent innovation in discrete integrable systems, particularly through geometric realizations of W-algebras and Hamiltonian structures for polygon evolutions. Her work demonstrates how discrete moving frames generate novel integrable hierarchies while maintaining geometric invariance. Her scientific recognition includes: Letters and Science Academic Staff Excellence Mid-Career Award (2006) Letters and Science Faculty Advising Award (2007-08) Philip R. Certain Award for research/teaching/service (2011-12) Simons Fellowship (2012-13) As an educator, Marí Beffa has mentored numerous students (evidenced by her advising award) and secured significant research support including the Simons Fellowship. Her administrative leadership spans departmental chairmanship and current oversight of college-wide research initiatives as Associate Dean. She maintains active collaborations with international researchers including Anton Izosimov and Elizabeth Mansfield. While not explicitly detailing dedicated labs, her extensive collaborative publication record indicates leadership in research groups focused on geometric methods in mathematical physics, particularly through her work on discrete integrable systems and moving frame theory.

• Enzymology
• Natural Products Biosynthesis
• Antimicrobial Compound Synthesis
• +۵ مورد دیگر

Dr. Joel Loveridge serves as an Associate Professor in the Department of Chemistry within Swansea University's Faculty of Science and Engineering. Previously a Senior Lecturer since joining Swansea in 2016, he established himself as part of the university's new Chemistry Department initiative after transitioning from Cardiff University where he held a Lectureship in NMR Spectroscopy since 2012. His academic journey began with an MSci in Chemistry with Industrial Experience and PhD in Biological Chemistry from the University of Bristol. His research spans enzymology, natural products biosynthesis, and antimicrobial compound synthesis, with particular expertise in NMR spectroscopy and enzyme dynamics. Early career work focused on dihydrofolate reductase mechanisms and protein dynamics, evolving toward applied research in fungal volatile organic compounds for agricultural applications. His publication record reveals a strategic shift from fundamental enzymology toward biocontrol solutions, particularly investigating Metarhizium species as sources of biostimulants and pest control agents. His 15 most recent publications demonstrate increasing collaboration with agricultural scientists, reflecting expansion into microbial pest management. The research trajectory shows progression from pure biochemical studies to field applications, with recent work examining VOC-based molluscicides, wireworm repellents, and slug management systems. This evolution highlights his commitment to translating biochemical insights into practical agricultural solutions. Fellow of the Higher Education Academy Organizer of Royal Society of Chemistry South Wales West Local Section's Science and Energy demonstration series Coordinator of Swansea University's Spectroscopy in a Suitcase program As an active supervisor, he currently mentors multiple PhD candidates investigating Metarhizium applications, plant protection mechanisms, and semiochemical-based pest control strategies. His teaching portfolio includes advanced organic chemistry, biological and medicinal chemistry, and analytical chemistry modules, reflecting his commitment to developing innovative chemistry curricula that integrate subject knowledge with professional skills. His public engagement efforts include chemistry carnivals at science festivals and extensive outreach through the Royal Society of Chemistry.

• Machine Learning Theory
• Game Theory
• Information Theory
• +۹ مورد دیگر

Wouter M. Koolen is a Professor of Mathematical Machine Learning at the University of Twente and a Senior Researcher in the Machine Learning group at Centrum Wiskunde & Informatica (CWI) in Amsterdam. Appointed to his professorship on June 1, 2022, he delivers his expertise across both institutions with offices in Enschede and Amsterdam. He is actively engaged in academic leadership through his organization of the Machine Learning Theory Research Semester Programme at CWI in Spring 2023 and serves as an ELLIS Scholar since December 2020. Dr. Koolen's research spans machine learning theory with particular focus on pure exploration in multi-armed bandit models , game tree search algorithms , and provably accelerated learning in both statistical and individual-sequence settings, which he characterizes as 'learning faster from easy data.' His work bridges theoretical foundations with practical applications, especially in safe statistical testing using e-values. He maintains active collaborations through INRIA-CWI associate teams 6PAC with Inria Lille and 4TUNE with Inria Paris and Grenoble. His recent publications reveal a strong emphasis on developing theoretically sound methods for statistical inference that maintain validity under optional stopping and continuation, representing a significant shift from traditional p-value based approaches. This work has important implications for fields requiring rigorous statistical guarantees in adaptive experimental settings. NWO VENI grant recipient QUT Vice-Chancellor's postdoctoral research fellowship awardee ELLIS Scholar (elected December 2, 2020) Member of ACM Future of Computing Academy Professor Koolen has supervised numerous PhD students to completion, including Hongwei Wen, Clément Lezane, and Tyron Lardy in 2025, and formerly Rianne de Heide who won the VVSOR Willem R. van Zwet award. He has served on program committees for major conferences including COLT, ICML, and ALT, and actively organizes workshops on cutting-edge topics in machine learning theory. His research group at CWI hosts regular reading groups and seminar series, fostering a vibrant theoretical machine learning community in the Netherlands.

Philip Dyerمشاهده پروفایل

استاد

• Synthetic Inorganic Chemistry
• Organometallic Chemistry
• Organophosphorus Chemistry
• +۱۱ مورد دیگر

Professor Philip Dyer is a leading figure in synthetic inorganic and organometallic chemistry at Durham University's Department of Chemistry. His work focuses on the development of industrial catalysts for small molecule activation and sustainable chemical processes. Professor, Department of Chemistry, Durham University Royal Society Industry Fellow Director of the MacroBioCrude consortium Research interests span: Organometallic and coordination chemistry Homogeneous/heterogeneous catalysis Organophosphorus ligand design Biomass and macroalgae-based feedstocks Recent research trends emphasize: Development of solid-state molecular catalysts Flow reactor systems for gas/liquid reactions Algae-derived biofuels Multi-metallic cluster characterization Key affiliations : Centre for Sustainable Process Chemistry (CSCP) EPSRC UK Catalysis Hub MacroBioCrude consortium (EPSRC £2.3M grant) Collaborations with Oxford, Leeds, UCL, and Australian/Rennes institutions Research facilities include: Inert atmosphere glove-boxes and Schlenk lines High-pressure catalysis systems Bespoke pyrolysis GC-MS equipment Integrated Chemical Reaction Facility (ICRF)

Berkay Anahtarcıمشاهده پروفایل

استادیار

• Game Theory
• Mean-Field Games
• Machine Learning
• +۵ مورد دیگر

Berkay Anahtarcı is an Assistant Professor in the Department of Mathematical Engineering at Özyeğin University. He received his B.Sc. from Boğaziçi University in 2008, followed by his M.Sc. and Ph.D. from Sabancı University in 2011 and 2015, respectively, under the supervision of Professor Plamen Djakov. His educational background includes: B.Sc. in Mathematics, Boğaziçi University, 2008 M.Sc. in Mathematics, Sabancı University, 2011 Ph.D. in Mathematics, Sabancı University, 2015 Dr. Anahtarcı's research spans both theoretical mathematics and applied interdisciplinary fields. His early work focused on Functional Analysis and Spectral Theory of Differential Operators, particularly spectral gaps of Dirac and Mathieu operators. More recently, his research has evolved toward Game Theory with a focus on Mean-Field Games and Machine Learning, especially Reinforcement Learning. This transition demonstrates his ability to bridge pure mathematics with cutting-edge applications in artificial intelligence. His publication record shows a clear progression from theoretical mathematics (2012-2018) to increasingly applied work in game theory and machine learning (2020-2025). The majority of his recent publications center on learning algorithms for mean-field games, inverse reinforcement learning, and related computational frameworks. Among his notable achievements is the Faculty Teaching and Learning Excellence Award from Özyeğin University in 2024. He is also the principal investigator for the TUBITAK 1001 research grant "Inverse Reinforcement Learning for Mean-Field Games" (2024-2027), one of Turkey's most competitive research funding programs. Dr. Anahtarcı has been teaching courses in both Mathematics and Industrial Engineering departments at Özyeğin University and Sabancı University since 2014, demonstrating his interdisciplinary approach to education and research. His work has been published in prestigious venues including the Journal of Machine Learning Research, Dynamic Games and Applications, and IEEE Conference on Decision and Control.

Marcus Greferathمشاهده پروفایل

استاد مدعو

• Algebra
• Coding Theory
• Combinatorics
• +۵ مورد دیگر

Dr. Marcus Greferath is an Adjunct Professor at the Department of Mathematics and Systems Analysis, Aalto University, School of Science. He holds dual roles as a Visiting Professor in both the Department of Mathematics and Systems Analysis and the Algebra and Discrete Mathematics division. His research focuses on algebraic coding theory, combinatorics, and applications of finite rings in coding and cryptology. Greferath has contributed significantly to areas such as rank metric codes, network coding, and error-correcting codes over finite structures. Research Interests: Greferath's work bridges pure mathematics and applied coding theory. Key areas include the study of codes over finite rings and modules, applications of combinatorial designs, and the development of decoding algorithms. His recent projects address adversarial error correction in distributed storage systems and privacy-preserving information retrieval using finite geometries. Publications: His most recent works include advancements in MacWilliams duality for rank metric codes (2025), adversarial error correction frameworks (2024), and combinatorial design mosaics (2018). These reflect a strong emphasis on algebraic foundations and their practical implications in modern communication systems. Patents: He co-invented encoding schemes for LDPC codes (US2010199142, 2010) and magnetic resonance methods using phase-modulated pulses (US2011241667, 2011), showcasing his translational research impact. Labs/Teams: Active in the Algebra and Discrete Mathematics research group at Aalto University, contributing to projects on subspace codes and network security. Collaborates internationally on topics like finite quasi-Frobenius modules and linear code structures.

• Mathematics Education
• History of Mathematics
• Special Matrices
• +۷ مورد دیگر

Sandra Ricardo is an Assistant Professor at the University of Trás-os-Montes and Alto Douro (UTAD), Portugal, with a strong academic foundation in Mathematics, holding a PhD from the University of Rouen, France, and a Master’s from the University of Coimbra, Portugal. She is actively engaged in research and educational projects with international impact. PhD in Mathematics, National Institute of Applied Sciences of Rouen, University of Rouen, France (2008) Master's in Mathematics, University of Coimbra, Portugal (2000) Her research interests include Mathematics Education, History of Mathematics, Special Matrices, k-Bronze Fibonacci Numbers, and Mechanical Control Systems. She emphasizes innovative teaching strategies and the integration of historical context into mathematical instruction. Her work bridges theoretical mathematics with practical applications in education and biomedical signal analysis. The most recent publications reflect a dual focus: one stream on advanced algebraic structures such as quaternion Gaussian Bronze Fibonacci numbers and matrix theory, and another on pedagogical innovations in teaching fractions, statistics, and problem-solving in early education. These works highlight her commitment to both pure mathematical research and transformative educational practices. Sandra is involved in significant international projects: TeachersMOD (Erasmus+, EACEA): Modernizing elementary school teacher training in Kurdistan (2023–2025) Mais Conhecimento Melhor Futuro (Calouste Gulbenkian Foundation): Enhancing math, Portuguese, and digital literacy in Guinea-Bissau (2022–2023) These initiatives aim to improve educational access and quality in underserved regions, focusing on curriculum development and teacher capacity building. Sandra has advised and collaborated on numerous research projects, particularly in mathematics education reform and control theory. While no formal list of advisees is provided, her publications indicate strong mentorship and collaborative leadership. She has not received publicly listed scientific awards in the provided text. She contributes to academic outreach through the CIIE (Center for Research in Educational Innovation) and LabDERE (Laboratory of Digital Experimentation and Research in Education), promoting digital tools and innovative pedagogies in educational settings.

Gyanendra Pokharelمشاهده پروفایل

دانشیار

• Biostatistics
• Cancer epidemiology
• Bayesian & computational statistics
• +۴ مورد دیگر

Dr. Gyanendra Pokharel serves as an Associate Professor in the Department of Mathematics and Statistics at the University of Winnipeg. He concurrently holds an adjunct appointment as Assistant Professor in the Department of Community Health Sciences at the University of Manitoba. His educational qualifications include: Ph.D. in Applied Statistics from the University of Guelph, Canada M.Sc. in Applied Mathematics from Wilfrid Laurier University, Canada M.Sc. in Pure Mathematics from Tribhuvan University, Nepal B.Sc. in Mathematics from Tribhuvan University, Nepal Dr. Pokharel's research spans Biostatistics , Cancer Epidemiology , Bayesian & Computational Statistics , and Infectious Disease Modeling . He develops advanced methodologies for spatial infectious disease surveillance, including emulation-based inference and ensemble learning techniques. His cancer epidemiology work focuses on breast cancer stage-shifting through simulation studies, while his rheumatology research employs network meta-analysis to evaluate treatment effectiveness. His expertise in Statistical Learning enables innovative classification and clustering approaches for complex health data. Analysis of his 15 most recent publications (2014-2024) reveals a dominant focus on infectious disease modeling (60% of articles), particularly spatial-temporal methods and machine learning applications. Biostatistics contributions (40%) center on cancer epidemiology and rheumatology, featuring network meta-analyses and discrete-choice experiments for patient preference studies. His work consistently integrates computational statistics with real-world health challenges. No specific scientific awards are documented in the provided materials, though his research is competitively funded. Dr. Pokharel actively mentors students through his NSERC Discovery Grant-funded projects. He teaches advanced statistical computing courses (STAT 2903/3904) and core statistics courses (STAT 1301/1302), with past instruction in statistical learning (STAT 4103). Prospective graduate students in biostatistics, spatial statistics, or machine learning applications are encouraged to contact him for research opportunities.

• Robotics
• Control Systems
• Environmental Monitoring
• +۵ مورد دیگر

Shafiqul Islam serves as Assistant Professor of Robotics & Mechatronics and Director of Dual Degree Engineering Programs at Xavier University of Louisiana (XULA). His academic home resides within the College of Engineering, where he leads initiatives bridging undergraduate education with partner engineering institutions. His research spans Robotics, Control Systems, and Environmental Monitoring , with recent work shifting toward climate-related applications in Gulf Coast communities. Key interests include: Machine learning for environmental prediction (greenhouse gases, precipitation, air quality) Advanced control systems for robotics and power grids Community-based air quality monitoring using sensor networks Teleoperation and multi-agent coordination protocols Analysis of his 15 most recent publications (2023-2025) reveals a strategic pivot from pure robotics toward environmental applications , particularly Gulf Coast climate challenges. While earlier work focused on quadrotor control and teleoperation, recent papers emphasize deep learning models for pollution monitoring, aerosol analysis, and community engagement in environmental science. This evolution demonstrates interdisciplinary adaptation to regional ecological concerns. No scientific awards or student advisement records are publicly documented. His engineering leadership role drives XULA's dual-degree initiatives, though specific grant details remain undisclosed in available materials. Islam directs the XULA Surface-Based Measurement Initiative , deploying sensor networks for real-time environmental monitoring across New Orleans communities. This program integrates student researchers and local residents in climate data collection, emphasizing environmental justice in Gulf Coast urban settings.

• Cost Accounting
• Activity-Based Costing
• Management Accounting
• +۴ مورد دیگر

Burçin Tutcu , Associate Professor at Akdeniz University ’s Korkuteli Vocational School , has served since 2020 in the Department of Accounting and Tax Applications , after joining as Lecturer in 2017. Between 2021-2024 she also acted as Head of Department. Education Doctorate (2019) – Yildiz Technical University, Graduate School of Social Sciences, Accounting & Finance Master’s (2007) – Beykent University, Institute of Social Sciences, Business Administration Bachelor’s (2003) – Bursa Uludağ University, Faculty of Economics & Administrative Sciences, Econometrics Research Focus Her scholarship lies at the intersection of cost accounting , management accounting and digital transformation . Early work concentrated on activity-based costing (ABC) and time-driven ABC models for higher-education institutions, leading to a doctoral dissertation proposing a process-based ABC framework for universities. More recent investigations apply machine-learning techniques to financial performance forecasting in sectors such as IT, iron & steel, renewable energy and automotive. A parallel stream explores tax policy , sustainability reporting and green taxation , reflecting an expanding agenda towards environmental and regulatory issues. Publication Trends Across 40 WoS-indexed articles since 2017, three dominant patterns emerge: (1) empirical cost-system implementations in specific industries, (2) predictive analytics utilising AI/ML for financial ratios and energy variables, and (3) cross-country comparative studies on accounting standards and tax compliance. The temporal shift from pure cost accounting to data-driven and sustainability-oriented research illustrates an adaptive scholarly trajectory. Scientific Awards & Recognition Google Scholar h-index: 29 Scopus h-index: 15 Extensive peer-review service for national journals and academic appointment juries Advising, Grants & Professional Service While no specific PhD or Master’s students are listed, she has mentored numerous vocational-level projects and actively participates in thesis juries at other universities. External funding details are not provided in the text, yet her prolific publication record and conference engagements suggest sustained grant support or institutional research allocations. Laboratories & Teams She leads the Accounting and Tax Applications teaching team at Korkuteli Vocational School and coordinates curriculum development for cost-accounting courses across associate-degree programmes. Outside academia, she continues to practise as a certified freelance accountant (SMMM) under TÜRMOB, providing a practical feedback loop between scholarship and professional application.

Lillian J. Ratliffمشاهده پروفایل

دانشیار

• Game Theory
• Economics
• Optimization
• +۴ مورد دیگر

Lillian J. Ratliff is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Washington, with adjunct appointments in the Paul G. Allen School of Computer Science & Engineering and the Department of Aeronautics and Astronautics. Her research bridges theoretical foundations with practical applications in intelligent systems, focusing on strategic decision-making in complex environments. Dr. Ratliff earned her PhD in Electrical Engineering and Computer Sciences from UC Berkeley in 2015. She completed dual Bachelor of Science degrees in Electrical Engineering and Mathematics from the University of Nevada, Las Vegas (UNLV) in 2008, followed by a Master of Science in Electrical Engineering from UNLV in 2010. Her research expertise spans the intersection of game theory , economics , optimization , machine learning , and control theory . She develops theoretical frameworks for decision-making in intelligent systems with learning-enabled components and strategic agents. Her work addresses fundamental questions about convergence properties of learning algorithms in game-theoretic settings, equilibrium analysis in complex multi-agent systems, and the development of efficient algorithms for strategic decision-making. Her theoretical contributions have significant practical implications for understanding strategic interactions in systems ranging from transportation networks to human-AI collaboration. Dr. Ratliff's recent publications reveal a strong focus on matrix games, Stackelberg games, and performative prediction, with applications spanning from human-computer interaction to multi-agent reinforcement learning. Her work demonstrates increasing sophistication in handling decision-dependent distributions and analyzing convergence properties of learning dynamics in complex strategic environments. Her scientific achievements have been recognized with prestigious awards including: NSF Graduate Research Fellowship (2009) NSF CISE Research Initiation Initiative award (2017) NSF CAREER award (2019) ONR Young Investigator award (2020) UW College of Engineering Junior Faculty Award (2021) Dhanani Endowed Faculty Fellowship (2020) Invited speaker at the National Academy of Engineering China-America Frontiers of Engineering Symposium (2019) Dr. Ratliff leads a research program funded by multiple National Science Foundation grants (CNS-1736582, CNS-1836819, CNS-1931718, CNS-1907907, CNS-1844729, CNS-1952011, CNS-1634136, CNS-1646912, CNS-1656873) and the Office of Naval Research Young Investigator Program. Her research group investigates theoretical foundations for strategic decision-making with applications to intelligent transportation systems, human-machine interaction, and multi-agent reinforcement learning. Her work is organized around theoretical foundations for decision-making in strategic environments, with applications to intelligent transportation systems, human-AI collaboration, and network congestion management. She maintains active collaborations across disciplines, including with researchers in computer science, aeronautics, control theory, and economics, demonstrating the interdisciplinary nature of her research program.

• Queueing Theory
• Stochastic Processes
• Probability Theory
• +۱ مورد دیگر

Dr. Stasys Steišūnas serves as an Affiliated Scientist at the Smart Technologies Research Group within Vilnius University Institute of Data Science and Digital Technologies (VU DMSTI), formerly known as the Institute of Mathematics and Informatics (MII), located at Akademijos St. 4, Vilnius. His academic profile centers on theoretical research in probability and stochastic modeling without indication of teaching responsibilities. His primary research domains include Queueing Theory , Stochastic Processes , and Mathematical Modeling , with specialized contributions to open/multiphase queueing networks, Brownian motion dynamics, and message switching systems. Collaborative work with Saulius Minkevičius constitutes the majority of his publications, demonstrating sustained focus on deriving limit theorems and performance metrics for complex stochastic systems. Publication analysis reveals concentrated output between 1999-2012 across journals like Nonlinear Analysis: Modelling and Control and International Journal of Pure and Applied Mathematics , with recurring themes in heavy traffic approximations, sojourn time analysis, and departure process modeling. The absence of recent publications suggests potential shift in professional focus while maintaining institutional affiliation. As part of VU DMSTI's research infrastructure, Steišūnas contributes to Lithuania's mathematical research ecosystem through rigorous theoretical work in stochastic network analysis, though no laboratory-specific affiliations or grant details are documented in available sources.

• Sampling Theory
• Fourier Analysis
• Functional Analysis
• +۳ مورد دیگر

Gert Tamberg is a Senior Lecturer at Tallinn University of Technology, School of Science, Department of Cybernetics, where he has been employed since September 2019. Previously, he served as a Senior Research Fellow (2017-2019) and held various academic positions including Chair Holder of the Chair of Mathematical Analysis (2012-2016) within the Faculty of Science at Tallinn University of Technology. His academic career spans nearly two decades at this institution, demonstrating deep commitment to mathematical research and education in Estonia. Tamberg earned his PhD in Natural and Exact Sciences from Tallinn University of Technology in 2004, with a dissertation titled "On sampling operators defined by Rogosinski, Hann and Blackman windows," supervised by Andi Kivinukk. He previously obtained a Research Master's Degree from the same institution in 2000, with thesis "Approximation by generalized and by the Rogosinski-type sampling series." His educational background includes doctor's studies (2000-2004), master's studies (1996-2000), and graduate studies (1991-1996) in technical physics at Tallinn University of Technology. Dr. Tamberg's research focuses primarily on sampling theory, Fourier analysis, and functional analysis. His work bridges pure mathematics with practical applications in signal processing, image analysis, and biomedical engineering. He has made significant contributions to understanding sampling operators, particularly those involving window functions like Rogosinski, Hann, and Blackman windows. His research has evolved to include applications in wireless sensor networks and medical signal processing, demonstrating the interdisciplinary nature of modern mathematical research. Tamberg's publication record shows a clear progression from theoretical mathematics to applied research. His early work focused on pure sampling theory and approximation methods, while more recent publications demonstrate applications in biomedical engineering (particularly impedance cardiography) and wireless sensor networks. This trajectory reflects both the versatility of sampling theory and Tamberg's ability to apply mathematical concepts to solve real-world engineering problems. His work spans multiple disciplines including mathematics, electrical engineering, computer science, and biomedical engineering. Among his honors and awards, Tamberg received the II Prize in the Estonian National Contest for Young Scientists at university level in 2004 and the III Prize in the same competition in 2000, recognizing his early contributions to mathematical research. As an academic supervisor, Tamberg has guided multiple students to completion of their degrees, including Olga Orlova (Master's), Olga Graf (Master's), and Faisal Ahmed (PhD). His administrative roles are extensive, including serving as Vice President of the Estonian Mathematical Society (2022-present), IEEE SP/CAS/SSC Joint Societies Chapter Chair (2021-present), and coordinator of the Estonian Doctoral School in Mathematics and Statistics. He has also been involved in numerous research projects, with principal investigator roles in projects like "Weighted means" and "Functional transformations." Tamberg is an active participant in the international mathematical community, serving as a guest editor for the "Applied and Numerical Harmonic Analysis" series and "Sampling Theory in Signal and Image Processing." He has been instrumental in organizing major conferences including the 12th International Conference on Sampling Theory and Applications (SampTA2017) and the 17th International Conference on Mathematical Modelling and Analysis (MMA2012), demonstrating leadership in his field.