جست‌وجوی استاد و پژوهشگر

Antar Bandyopadhyayمشاهده پروفایل

استاد

• Theoretical Probability
• Applied Probability
• Combinatorics
• +۸ مورد دیگر

Antar Bandyopadhyay is a Professor at the Indian Statistical Institute (ISI) , serving as Head of the Delhi Centre since 2023. He was previously the Professor-in-Charge of the Theoretical Statistics and Mathematics Division (2020–2022). He spent the academic year 2013–2014 as a Visiting Associate Professor at the Department of Statistics, University of California, Berkeley . Education : PhD in Statistics (UC Berkeley, 2003), MA in Statistics (UC Berkeley, 2000), M.Stat. (ISI Kolkata, 1998), B.Stat. (ISI Kolkata, 1996). Research Interests : Theoretical and applied probability, focusing on discrete problems arising from combinatorics, statistical physics, and computer science. Key areas include random graphs , probability on trees , recursive distributional equations , branching random walks , percolation theory , interacting particle systems , Markov chains mixing , random walks in random environments , and urn models . He also explores theoretical statistics and probability questions emerging from it. Publication Trends : His recent work (2006–2025) spans infinite-color urn models , branching random walks , percolation , random graphs , and random walks in dynamic environments . Collaborations include researchers at UC Berkeley, Chalmers University, ISI Kolkata, and the University of Minnesota. Scientific Awards : Outstanding Graduate Student Instructor Award (UC Berkeley, 2002) Teaching Effectiveness Award (UC Berkeley, 2002) Advising and Grants : He has mentored Gursharn Kaur , Debleena Thacker , and others. His work has been supported by institutions such as UC Berkeley, Chalmers University, and the Institute for Mathematics and Its Applications . Labs and Teams : He actively collaborates with the Theoretical Statistics and Mathematics Unit at ISI Delhi and has organized the weekly seminar series (2006–2010), co-organizing workshops like the Lectures on Probability and Stochastic Processes (2006–2014).

• Quantum Geometry
• Mathematical Physics
• Topological String Theory
• +۵ مورد دیگر

Prof. Alim Murad is a Professor of Quantum Geometry at the Technical University of Munich (TUM), leading the research group at the Department of Mathematics within the TUM School of Computation, Information and Technology. He previously held positions as an Associate Professor at Heriot-Watt University (Edinburgh) and led an Emmy Noether research group in Hamburg. His research focuses on quantum geometry, combining methods from complex algebraic geometry, representation theory, and number theory to study quantization and dualities in physical systems, particularly via resurgence in topological string theory and mirror symmetry. Alim completed his studies in mathematics and physics at Karlsruhe Institute of Technology, École Normale Supérieure (Paris), and Ludwig-Maximilians-Universität München (LMU), where he earned his PhD in 2009 with distinction. He held postdoctoral positions at Harvard University and the Hausdorff Center for Mathematics in Bonn. His teaching includes advanced courses on representation theory, differential topology, complex geometry, and resurgence in mathematical physics at TUM, Heriot-Watt, and Hamburg University. Notable awards include the Emmy Noether Programme (2016) and the Arnold Sommerfeld Doctoral Award (2010). Key research contributions include foundational work on BPS structures, non-perturbative topological strings, and quantum curves. His group collaborates internationally, with affiliations at the Maxwell Institute for Mathematical Sciences in Edinburgh. Current projects explore the interplay between perturbative and non-perturbative structures in quantum field theories and string theory.

Emily Hectorمشاهده پروفایل

استادیار

• Data Integration
• Distributed Estimation
• Correlated Data Analysis
• +۶ مورد دیگر

Emily Hector is an Assistant Professor in the Department of Statistics at North Carolina State University. She holds a Ph.D. in Biostatistics from the University of Michigan (2020) and serves as an Associate Editor for Reproducibility at the Journal of the American Statistical Association . Her research focuses on distributed inference, data integration of correlated and high-dimensional datasets, and leveraging computational advancements for divide-and-conquer methods. Applications include spatial extremes, metabolomics, neuroimaging of autism, and wearable devices. Key areas of expertise include estimating equations, generalized method of moments, and parallel computing. Methodological innovations address challenges in big spatial data modeling and high-dimensional phenotypes. Her work bridges statistical theory with practical computational solutions for large-scale biomedical data. Hector has been honored with the Dr. Dennis Boos Citizenship Award (2023-2024). Her publications span topics such as neuroconnectivity analysis, genetic regulation of metabolism, and climate model bias correction. She actively collaborates with interdisciplinary teams and contributes to open-source software for statistical analysis.

Vikash Gayahمشاهده پروفایل

استاد

• Urban Mobility
• Traffic Flow Theory
• Transportation Operations
• +۷ مورد دیگر

Vikash Gayah is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University’s College of Engineering. He is based in the Sackett Building at University Park, PA, and is actively involved in transportation research and leadership, currently serving as the interim director of the Larson Transportation Institute. His research is affiliated with themes of equitable communities and the built environment. Dr. Gayah's research focuses on urban mobility, traffic flow theory, transportation operations, network modeling, and safety. His work addresses real-world challenges such as intersection efficiency, pedestrian safety, and the integration of connected vehicles. He has extensively studied traffic signal control strategies, crash modification factors, and the impacts of infrastructure treatments like rumble strips and high-friction surfaces. The recent publications highlight a consistent focus on traffic safety analytics, optimization of signal control, and the use of advanced modeling techniques such as Max-Pressure algorithms and empirical Bayes methods. His research spans urban and rural contexts, with applications in Pennsylvania and broader transportation networks. Key trends include multimodal integration, data-driven safety improvements, and sustainable transportation solutions. Interim Director, Larson Transportation Institute (2023–present) Research focus on equitable and sustainable transportation systems Active involvement in interdisciplinary seed grant projects through the Institute for Energy and the Environment (IEE) Dr. Gayah mentors several graduate students who co-author his publications, indicating an active research group. He has not received explicitly listed scientific awards in the provided text, but his frequent media appearances and leadership roles reflect recognition in the field. His research is supported by institutional and interdisciplinary grants, particularly those addressing climate and sustainability challenges in transportation.

Andrea Carronمشاهده پروفایل

مدرس ارشد

• Model Predictive Control
• Learning-based Control
• Coverage Control
• +۷ مورد دیگر

Dr. Andrea Carron is a Senior Lecturer at ETH Zürich, affiliated with the Intelligent Control Systems group under Professor M. Zeilinger at the Department of Mechanical and Process Engineering. He holds a PhD in Information Technology from the University of Padova (2016) and was a Postdoc at ETH Zurich from 2016 to 2020. Education: B.S. and M.Sc. in Control Engineering (University of Padova, 2010 and 2012) Professional Roles: Senior Lecturer (ETH Zurich, 2022–present), Postdoc Fellow (ETH Zurich, 2016–2020) Research Interests: Andrea Carron's work focuses on Model Predictive Control (MPC) and Learning-based Control with safety guarantees. His research addresses challenges in Distributed Safe Learning , Coverage Control , and Autonomous Racing , utilizing Gaussian Processes and Stochastic Control frameworks. He has developed safety filters for racing vehicles, scalable MPC for mobility-on-demand systems, and Kalman-filter-enhanced GP regression techniques. Article Trends: Recent publications emphasize Autonomous Racing (ForzaETH Race Stack), Safe Learning for distributed systems, Gaussian Process applications in control, and Robust MPC under uncertainty. His work bridges machine learning and classical control theory, with applications in robotics and real-time systems. Teaching Activities: He has taught courses such as Signals and Systems and Advanced Model Predictive Control at ETH Zurich and Ashesi University since 2017. Course content includes discrete-time signal processing, system identification, and control algorithms.

Raimar Wulkenhaarمشاهده پروفایل

استاد

• Non-perturbative quantum field theory
• Noncommutative geometry
• Renormalisation group
• +۳ مورد دیگر

Prof. Dr. Raimar Wulkenhaar is a Professor of Mathematics at the University of Münster's Faculty of Mathematics and Computer Science, affiliated with the Mathematical Institute. He is an investigator in the Mathematics Münster cluster and a member of CRC 1442 Geometry: Deformations and Rigidity. His research focuses on operator algebras and mathematical physics, particularly non-perturbative quantum field theories, noncommutative geometries, and renormalization. Wulkenhaar's work bridges abstract algebraic structures with physical models, such as matrix models and tensor field theories. He holds a leadership role in interdisciplinary projects, including the CRC 1442's D03 project on integrability and the Mathematics Münster focus areas T2 (moduli spaces) and T7 (field theory and randomness). His research emphasizes noncommutative quantum field theories, where he explores exact solutions and topological recursion techniques. Key collaborations include work on Kontsevich models, Calogero-Moser systems, and renormalization group methods. Recent publications highlight advancements in blobbed topological recursion, integrable systems, and stochastic quantization. Wulkenhaar frequently publishes in top journals like Communications in Mathematical Physics and Journal of Geometry and Physics . His work often intersects with algebraic geometry, combinatorics, and stochastic processes, reflecting a broad yet deep engagement with mathematical physics. He has contributed to foundational texts, including a chapter in Advances in Noncommutative Geometry , and has advised numerous collaborative research initiatives. Despite no explicitly listed awards, his prolific output and project leadership underscore his scholarly impact.

• Database Systems
• Big Data Management
• XQuery Processing
• +۳ مورد دیگر

Vinayak R. Borkar is a researcher and software engineer affiliated with the University of California, Irvine, where he completed his PhD in 2016. His work focuses on big data platforms, database systems, and scalable query processing frameworks. PhD in Big Data Processing (UC Irvine, 2016) Contributions to Apache AsterixDB, Hyracks, and Pregelix Industry experience at BEA Systems (2000s) Research interests include database systems , big data management , XQuery optimization , and dataflow engines . His publications analyze scalable similarity queries, memory management, and declarative approaches to machine learning. Recent articles explore Apache AsterixDB , dataflow compilation , and graph analytics . Collaborators include Michael J. Carey and Alexander Behm.

• Quantum Geometry
• Mathematical Physics
• Topological String Theory
• +۴ مورد دیگر

Prof. Murad Alim is a Professor of Quantum Geometry at the Technical University of Munich (TUM) and an Associate Professor at Heriot-Watt University, affiliated with the Maxwell Institute for Mathematical Sciences. His research focuses on quantum geometry, mathematical physics, and the interplay of perturbative/non-perturbative structures in topological string theory and supersymmetric theories. He has held positions at Harvard University, the University of Hamburg, and the University of Göttingen. Education: PhD in Mathematical Physics (LMU Munich, 2009), studies at ENS Paris and Karlsruhe University. Affiliations: TUM School of Computation, Information and Technology; Edinburgh Mathematical Physics Group. Research interests include moduli spaces, wall-crossing phenomena, and dualities in field/string theories using mirror symmetry. He has received awards such as the Emmy Noether Grant (2016) and the LMU PhD Prize (2010). Key Publications: Over 30 peer-reviewed articles, including work on BPS structures, topological strings, and mirror symmetry. Grants & Collaborations: Leadership of an Emmy Noether Group (2016-2024), collaborations with institutions like CERN and Harvard. Labs/Teams: Active in the Edinburgh Mathematical Physics Group and TUM’s quantum geometry research cluster.

Wolfgang Wiedermannمشاهده پروفایل

استاد

• Causal Inference
• Person-Oriented Research
• Longitudinal Data Analysis
• +۳ مورد دیگر

Wolfgang Wiedermann is a Professor and William A. and Jean S. Stauffer Faculty Fellow in the Department of Educational, School & Counseling Psychology at the University of Missouri's College of Education & Human Development. He holds a Ph.D. in Quantitative Psychology from the University of Klagenfurt, Austria. His research focuses on: Developing statistical methods for causal inference and direction dependence analysis Person-oriented research methodologies Analysis of intensive longitudinal data Risk perception in substance use and health contexts His publications demonstrate strong emphasis on: Advanced psychometric modeling (55% of recent articles) Causal inference techniques (30%) Person-centered analytical approaches (15%) with consistent applications in psychological and behavioral sciences. Awards include the William A. and Jean S. Stauffer Faculty Fellowship. He serves as associate editor for Behaviormetrika and Journal of Person-Oriented Research .

• Formal Methods
• Model Checking
• Satisfiability (SAT) Solving
• +۴ مورد دیگر

Tommi Junttila serves as a Senior University Lecturer in the Department of Computer Science at Aalto University, Finland, where he conducts cutting-edge research at the intersection of formal methods and computational logic. His academic profile demonstrates sustained contributions to theoretical computer science with practical applications in system verification and blockchain technology. His research program centers on advancing formal verification techniques, with core expertise in: Symmetry reduction algorithms for state space explosion SAT/SMT solving with specialized parity and XOR reasoning Bounded model checking of timed and asynchronous systems Blockchain protocol verification (notably DeFi lending pools) Canonical labeling tools for graph automorphism detection Recent work shows increasing focus on decentralized finance applications while maintaining foundational contributions to solver technology. Analysis of his publication trajectory (2011-2022) reveals consistent innovation in SAT solving methodologies, with symmetry reduction and parity reasoning forming persistent research threads. His 2022 work on DeFi lending pools represents a strategic expansion into blockchain verification, leveraging established formal methods expertise for emerging financial technologies. Tool development (bliss, PySMT) demonstrates commitment to practical research impact. No scientific awards were documented in the source materials. Similarly, no information regarding student supervision, grant funding, or laboratory affiliations was present in the provided text. His independent tool development (including bliss for graph canonical labeling and PySMT for SMT solver interfaces) indicates significant technical leadership within the formal methods community.

• Adolescent Psychology
• Parent-Adolescent Relationships
• Developmental Psychology
• +۵ مورد دیگر

Dr. Tom Frijns is a Lecturer in the Department of Social, Health and Organisational Psychology within the Faculty of Social and Behavioural Sciences at Utrecht University. His academic work is centered within the Chair Aarts Goallab, which focuses on social-cognitive and interpersonal determinants of behaviour. Dr. Frijns maintains an active research profile with numerous publications and conference presentations. Dr. Frijns specializes in adolescent psychology with particular emphasis on parent-adolescent relationships, emotional dynamics, and secrecy and disclosure processes. His research examines how adolescents navigate relationships with parents, peers, and siblings, and how these interactions influence psychological development and adjustment. He employs longitudinal methodologies to track developmental trajectories of anxiety, depression, and other psychological phenomena through adolescence. Analysis of Dr. Frijns' publication record reveals consistent focus on adolescent development, particularly examining how secrecy from parents, emotional regulation, and interpersonal relationships impact adolescent adjustment. His work spans developmental psychology, clinical psychology, and family studies, with strong emphasis on longitudinal research designs that track developmental changes over time. Recent publications increasingly focus on educational applications, including team coaching in higher education contexts. Prizes & Grants (1) Dr. Frijns has presented his research at major international conferences including the European Association for Research on Adolescence (EARA) and the Society for Research on Adolescence (SRA). His work frequently involves collaboration with prominent researchers in adolescent development, including Susan Branje, Wim Meeus, and others. His research has been supported through academic grants, though specific funding sources are not detailed in the available information. Dr. Frijns is affiliated with the Chair Aarts Goallab at Utrecht University, which investigates social-cognitive and interpersonal determinants of behaviour. This research group employs multidisciplinary approaches to understand how social and cognitive processes interact to shape human behavior, with particular applications to adolescent development and family relationships.

Peter Gustafsonمشاهده پروفایل

استاد

• Finite Element Modeling
• Multi-Scale Methods
• Machine Learning
• +۵ مورد دیگر

Peter Gustafson is a Professor in the Department of Mechanical and Aerospace Engineering at Western Michigan University. His research spans Finite Element Modeling, Multi-Scale Methods, Machine Learning, Aerospace Structures, Composite Materials, Biomechanics, Tissue Mechanics, and Medical Devices. He works on integrating computational techniques with material analysis and structural simulations. Overarching affiliation: Department of Mechanical and Aerospace Engineering, Western Michigan University Research Interests : Gustafson focuses on computational micromechanics and multiscale modeling, particularly applied to composite materials and aerospace structures. His work combines machine learning with traditional finite element methods to enhance predictive accuracy and efficiency. He also explores biomechanics and tissue mechanics, with applications in medical devices such as surgical tools and orthopedic implants. Publication Trends : Recent articles emphasize multiscale modeling of composite materials, machine learning integration for structural analysis, and biomedical applications. Topics include thermal conductivity in aerospace composites, neural networks for material localization, and additive manufacturing simulations. His work bridges mechanical engineering, computational science, and biomedical innovation. Contact Details : Office: (269) 276-3423 | Location: G-215 Floyd Hall, Western Michigan University, Kalamazoo, MI 49008-5343, USA.

Krishnakumar Balasubramanianمشاهده پروفایل

دانشیار

• Deep Learning Theory
• Sampling and Stochastic Optimization
• Geometric Statistics
• +۵ مورد دیگر

Krishnakumar Balasubramanian is an Associate Professor in the Department of Statistics at the University of California, Davis. His research focuses on deep learning theory, sampling and stochastic optimization, geometric and topological statistics, and nonparametric methods. He has contributed to advancements in high-dimensional statistical inference, optimization algorithms, and theoretical foundations of machine learning. He holds a Ph.D. in Statistics and has published extensively in top-tier journals and conferences. His work bridges statistical theory with practical machine learning challenges, addressing topics such as sampling algorithms, non-smooth optimization, and the analysis of complex data structures like manifolds and networks. Notably, he won the Grad Advising Award, reflecting his dedication to student mentorship. His research spans diverse areas including Stein's method applications, Langevin Monte Carlo analysis, and the theoretical properties of gradient descent dynamics. He also explores nonparametric modeling, geometric statistics, and the interplay between optimization and statistical guarantees in high-dimensional settings. Key Areas: Deep Learning Theory, Stochastic Optimization, Geometric Statistics, Topological Data Analysis, Nonparametric Methods, High-Dimensional Statistics Awards: Grad Advising Award Advising: Actively involved in mentoring graduate students, as highlighted by his award.

Katherine Perryمشاهده پروفایل

استادیار

• Graph Theory
• Combinatorics
• Design Theory
• +۳ مورد دیگر

Dr. Katherine Perry is an Assistant Professor of Mathematics at Soka University of America. She specializes in graph theory, combinatorics, and design theory, with a focus on symmetry parameters, network partitioning, and algorithm optimization. Perry holds a PhD from Auburn University and previously served as a postdoc at the University of Denver. Her research explores topics like distinguishing numbers in graphs, antimagic orientations, and extremal problems in network science. Her educational background includes a BA from Scripps College, MS and PhD from Auburn University, and postdoctoral work with Paul Horn. She teaches courses such as discrete mathematics, linear algebra, and network science. Perry's work has been supported by grants including the AWM Travel Grant and the University of Denver Internationalization Grant. Research highlights include contributions to Mycielskian graph analysis, rainbow spanning trees, and game theory applications like Cops and Robbers. She has supervised student research, including capstone projects by Mahir Anand, Nina Battioni, and Devin Weber. Perry is active in the U.S.-Africa Collaborative Research Network and recently published work on perfect k-ary tree spectra. Her awards include the Soka University Teaching Fellowship (2025) and recognition for teaching excellence during her graduate studies. Perry's interdisciplinary approach bridges theoretical mathematics with applications in cybersecurity, robotics, and data science.

• Information and Communication Sciences
• Machine Learning
• Business Process Optimization
• +۴ مورد دیگر

Saša Mitrović is an Assistant Professor at the Faculty of Economics and Business in Osijek, Croatia, specializing in Information and Communication Sciences . With expertise in Machine Learning , Business Process Optimization , and Energy Efficiency , he teaches courses like Business Application Development and Relational Databases . His office hours are on Mondays from 11:30 a.m. to 12:30 p.m., and he can be reached at sasa.mitrovic@efos.hr . Research interests span Machine Learning applications in economic trend prediction Smart city energy systems Imbalanced data classification Information and communication technologies in public sectors Publications highlight his work in CO₂ emissions modeling , energy analytics , and digital transformation , leveraging methodologies like CRISP-DM and recursive partitioning. His research trends emphasize data-driven sustainability and urban policy innovation . Awards Microsoft Certified Professional (Windows application development, 2012) Skills include HTML, CSS, C#, ASP.NET, PHP, JavaScript, SQL Server, and MySQL. He is also a doctoral student in Social Sciences at the Faculty of Organization and Informatics , University of Zagreb.