جستجوی استاد راهنمای دانشگاهی

Kong Kian Hauمشاهده پروفایل

مدرس ارشد

• Structural Repair and Retrofitting
• Sustainable Building Materials
• Concrete Technology
• +۶ مورد دیگر

Dr. Kong Kian Hau is a Senior Lecturer at the Department of Civil and Environmental Engineering, National University of Singapore (NUS). He holds a PhD in Civil Engineering (2004) and multiple professional certifications, including Chartered Engineer (UK) and Singapore-registered Professional Engineer. His expertise spans structural engineering, sustainable materials, and seismic design. He has contributed to national codes like BC3:2013 and co-authored an IStructE book on seismic design. Dr. Kong has over 13 years of industry experience in construction projects, including roles as Project Manager and Senior Consultant for residential, commercial, and infrastructure works across Singapore and internationally. Education: PhD (Civil Engineering), NUS (2004) M.Sc. in Advanced Structural Design, NUS (2002) B.Eng. (Civil Engineering, 1st Class Honours), NUS (1999) Research Interests: Structural Repair & Retrofitting Sustainable Building Materials Seismic Design & Dynamic Analysis Precast Concrete Systems Tall Building Systems Professional Activities: Member of IStructE (UK), ACI, RILEM, and CTBUH. Served on global panels like IStructE’s Global Seismic and Dynamic Events (2016–2018, 2024–present). Awarded NUS President Graduate Fellowship (2002) and IStructE/IES Service Awards (2013–2014). Teaching: Leads M.Sc. courses in structural assessment, precast concrete technology, and advanced concrete design. Supervises capstone projects on bridges and modular systems.

David Zywinaمشاهده پروفایل

دانشیار

• Algebra
• Number Theory
• Arithmetic Geometry
• +۲ مورد دیگر

David Zywina is an Associate Professor in the Department of Mathematics at Cornell University, part of the College of Arts and Sciences. He holds a Ph.D. from the University of California, Berkeley (2008). His research focuses on number theory and arithmetic geometry, particularly studying compatible Galois representations associated with arithmetic objects like elliptic curves and Drinfeld modules. His work explores the arithmetic properties of these objects and their connections to the Inverse Galois Problem. Teaching includes advanced courses such as MATH 6370 (Algebraic Number Theory) and MATH 7370 (Topics in Number Theory) in Spring and Fall 2025. He also supervises research and reading projects (MATH 4900/4901). Publications span topics including class field theory, elliptic curves, and Galois representations. Key works include studies on splitting fields of characteristic polynomials and maximal Galois actions. Zywina’s research bridges abstract algebraic structures with concrete problems in number theory.

Theresa Windusمشاهده پروفایل

استاد

• High Performance Computing
• Computational Chemistry
• Software Interoperability
• +۳ مورد دیگر

Theresa Windus is a Distinguished Professor and Department Chair at Iowa State University's Department of Chemistry. She leads the Windus Group, which develops computational models to solve environmental and energy challenges, with research focusing on high-performance computing, software interoperability, heavy metal systems, and quantum chemistry methods. Her group specializes in massively parallel algorithms for state-of-the-art computational resources. Her research spans multiple disciplines including: Scalable ab initio Monte Carlo methods GPU implementations of quantum integrals Exascale computing development (NWChemEx project) Rare earth element extraction Aerosol nucleation modeling Her recent publications explore computational chemistry software sustainability, GPU-accelerated quantum chemistry, nanopore modeling, and rare earth element extraction. She has mentored numerous graduate students including Alex, Erin, Daniel Turley, and Zach who received prestigious scholarships.

Nikola Simidjievskiمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Biomedical Data Integration
• Neuroscience
• +۴ مورد دیگر

Dr. Nikola Simidjievski is a Research Fellow at the University of Cambridge's Department of Computer Science and Technology. His research focuses on machine learning applications in natural sciences, including oncology, neuroscience, and biomedical informatics. He specializes in multimodal data integration, dynamic systems modeling, and explainable AI techniques. Simidjievski contributes to interdisciplinary projects such as AI-driven space research and Earth observation systems (e.g., AIAtlas). His work emphasizes computational methods for small-sample biomedical data and interpretable neural networks. Education background not explicitly stated, but his research spans computational biology, aerospace telemetry analysis (e.g., Mars Express spacecraft), and environmental modeling. He collaborates on projects like GalaxAI for spacecraft data analysis and PATHS for medical imaging. Key tools developed include Healnet for biomedical data fusion and RO-FIGS for tabular ensemble methods. No scientific awards listed. Advising no listed students, but contributes to academic initiatives like the Human Brain Project's neuroscience training programs. Engages in open-source projects (e.g., AITLAS toolbox for Earth observation). Current research trends include tabular data augmentation methods (TabEBM, TabMDA) and efficient transformer-based models for medical imaging (PATHS).

Andreas Kramerمشاهده پروفایل

استاد

• Product Design
• Computer-Aided Design (CAD)
• Industrial Design
• +۳ مورد دیگر

Prof. Andreas Kramer is a Professor of Product Design/CAD at the Bremen University of the Arts (HfK Bremen), leading the discipline since 2001. He holds a degree in Industrial Design from the Bergische Universität Wuppertal and has worked in design studios such as Budde&Piltz and archeDesign. His teaching focuses on foundational CAD skills, product design collaborations with traditional craftsmanship (e.g., Silbermanufaktur Koch und Bergfeld), and mentoring BA/MA projects. He offers courses like 'Tools I - Grundlagen Produktdesign' and 'Produktdesign und Kunsthandwerk,' emphasizing sustainability and digital fabrication. His works have received international recognition, and he actively participates in initiatives like the 'Bremen Goes Sustainable' funding program and eco-design talks. Education: Industrial Design, Bergische Universität Wuppertal Professional Experience: Freelance Product Designer since 2001 Research interests include integrating traditional craftsmanship with modern technologies, sustainable product design, and computational design tools. He advises students on individual projects, modular courses, and oversees thesis work through structured workshops and peer reviews. Notable collaborations include projects with the Silbermanufaktur Koch und Bergfeld, while institutional contributions include mentoring programs addressing study organization, digital adaptation, and career planning. He participates in initiatives such as the 'madeby' platform connecting students with industries.

Daniel Albertمشاهده پروفایل

استادیار

• Strategic Management
• Organizational Design
• Innovation
• +۴ مورد دیگر

Daniel Albert is an Assistant Professor of Management at Drexel University's LeBow College of Business. He serves on the Drexel University Standing Committee on Artificial Intelligence and is a Senior Fellow at The Wharton School’s Mack Institute of Technology Management. Previously, he held a tenure-track position at the University of Wisconsin-Milwaukee. His academic journey includes a Ph.D. from the University of St. Gallen, Switzerland, and research scholar roles at the Wharton School, University of Pennsylvania. Dr. Albert's research explores strategic management, organizational design, and innovation through computational modeling and empirical analysis. His work integrates psychology and neuroscience principles to study cognition and complex decision-making, with applications in financial services and healthcare industries. Current investigations focus on generative AI in strategic contexts, organizational structure optimization, and behavioral strategy experiments using large language models. Thematic analysis of his publications reveals three dominant clusters: computational approaches to organizational design (43%), cognitive and behavioral strategy frameworks (36%), and AI applications in management/education (21%). His work exhibits increasing methodological sophistication, with recent publications leveraging large-scale data analytics and AI simulation techniques to examine strategic decision-making patterns. Notable Scientific Recognition: Sumantra Goshal Award for Research & Practice (2021) Distinguished Paper Award from Academy of Management (2022) Research Methods Paper Prize from Strategic Management Society (2024) Freddie Reisman Award for scholarly impact (2022) Innovation in Teaching Award for AI integration (2022) Dr. Albert teaches strategy and competitive advantage courses across MBA and Executive MBA programs, incorporating generative AI tools for experiential learning. He provides editorial leadership for the Journal of Organization Design and has served on review boards for Long Range Planning and Organization Science . His research collaborations involve interdisciplinary teams from Wharton's Mack Institute and Drexel's AI initiative, focusing on technology-driven organizational innovation.

Prasit Bhattacharyaمشاهده پروفایل

استادیار

• Algebraic Topology
• Algebraic Geometry
• Number Theory
• +۳ مورد دیگر

Prasit Bhattacharya is an Assistant Professor in the Department of Mathematical Sciences at New Mexico State University (NMSU), affiliated with the College of Arts & Sciences. His research expertise spans Algebraic Topology, Algebraic Geometry, and Number Theory. He can be reached at prasit@nmsu.edu . His research interests focus on advanced topics within algebraic topology, including equivariant geometry, homotopy groups of spheres, Steenrod algebra operations, and motivic homotopy theory. He explores structures such as vector bundles, spectral sequences, and cohomology modules, often addressing disconnected spaces and modular algebraic frameworks. Recent publications highlight trends in motivic homotopy theory, equivariant orientation, and the application of spectral sequences like the Adams spectral sequence. His work also addresses foundational questions in stable homotopy groups and higher associativity of spectra. No scientific awards are explicitly listed in the provided information. His advising and grant activities remain unspecified, as no students or grants are mentioned. The person’s affiliation with specific labs or research teams is not detailed in the text.

Michael Flohrمشاهده پروفایل

پژوهشگر

• Logarithmic Conformal Field Theory (LCFT)
• Conformal Field Theory (CFT)
• String Theory
• +۳ مورد دیگر

Roles & Affiliations: Michael Flohr is a Researcher at the Institute of Theoretical Physics, part of the Faculty of Mathematics and Physics at Leibniz University Hannover. He holds the title of Privatdozent (PD Dr.), indicating advanced academic standing in German academia. His role includes safety officer responsibilities within the institute. Research Interests: Flohr specializes in Logarithmic Conformal Field Theory (LCFT), studying its applications to non-compact models, boundary conditions (e.g., D-branes in WZNW models), and connections to string theory. His work explores topics like four-point functions, Jordan cell representations, and modular properties of characters. He also investigates links between LCFT and physical systems such as the fractional quantum Hall effect and Seiberg-Witten theories. Notable interests include the theoretical underpinnings of dark matter and novel conformal field theory approaches to turbulence. Recent Research Trends: Flohr’s publications emphasize LCFT’s mathematical structure (e.g., operator product expansions, null vectors) and its applications in integrable systems, topological phases, and non-compact geometries. Collaborations with students focus on extending LCFT frameworks to local theories and analyzing boundary state constraints in non-rational models. Advising & Grants: Supervised students include Nils Carqueville, Anne-Lý Do, and Hendrik Adorf, whose work spans LCFT vertex algebras, D-brane factorization, and fermionic character expressions. Grants and funding details are not explicitly mentioned but likely tied to institutional support for theoretical physics research. Labs/Teams: Active within the Institute of Theoretical Physics, contributing to collaborative projects on conformal field theory, string theory, and quantum Hall systems. His research group engages with international workshops (e.g., EUCLID network meetings) and institutions like the Max Planck Institute for Mathematics.

Peijun Guoمشاهده پروفایل

استاد

• Geotechnical Engineering
• Geomechanics
• Numerical Modeling
• +۵ مورد دیگر

Dr. Peijun Guo is a Professor in the Department of Civil Engineering at McMaster University. His research focuses on geomechanics, geotechnical engineering, and numerical modeling of complex geotechnical systems, including soil behavior under cyclic loads, granular material dynamics, and climate change impacts on infrastructure. He holds a B.Sc. and M.A.Sc. from Southwest Jiaotong University (SWJTU) and a Ph.D. from the University of Calgary. Dr. Guo is a licensed Professional Engineer (P.Eng.) in Ontario. Research interests include experimental characterization of geomaterials, multiscale modeling of geo-mechanical systems, and the application of advanced numerical methods. His work addresses challenges such as hydraulic fracturing, ground thermal pumping, and railway-induced vibrations. He teaches courses like CIV ENG 704 (Special Topics in Applied Advanced Geotechnology) and CIV ENG 743 (Fundamentals of Soil Behaviour). Dr. Guo’s contributions span over 100 peer-reviewed publications, emphasizing granular materials, soil-structure interaction, and infrastructure resilience. His academic service includes advising on geotechnical projects and collaborating on initiatives like the $1M-funded research on small modular reactors. Dr. Guo’s lab focuses on advancing resilient infrastructure systems through innovative engineering solutions and interdisciplinary approaches.

Miao Yuمشاهده پروفایل

استاد

• Chemical Engineering
• Environmental Engineering
• Materials Science
• +۴ مورد دیگر

Dr. Miao Yu is a Professor in the Department of Chemical and Biological Engineering at the State University of New York at Buffalo (SUNY Buffalo), affiliated with the School of Engineering and Applied Sciences. Previously, he served as an Associate Professor at Rensselaer Polytechnic Institute (2017–2021) and an Assistant Professor at the University of South Carolina (2012–2017). His research focuses on advanced membrane technologies for energy-efficient separations, carbon capture, and hydrogen production. B.S., Tianjin University (1998) M.S., Tianjin University (2002) Ph.D., University of Colorado Boulder (2007) Postdoctoral Researcher, CU-Boulder (2007–2010) Dr. Yu’s work spans nanostructured membranes, zeolite-based materials, and ionic liquid composites, targeting applications in CO2 capture , ammonia separation , and hydrogen production . He has pioneered catalytic membrane reactors and nano-confined liquid systems for industrial gas processing and water purification. His research integrates materials science, chemical kinetics, and process engineering to address energy and environmental challenges. The 15 most recent publications highlight advancements in CO2 capture membranes using graphene oxide and ionic liquids, hydrogen production via ammonia decomposition, and CO2 hydrogenation for liquid fuels. Key trends include interfacial engineering, nanostructure tuning, and hybrid systems for carbon utilization and water treatment. 2015 NSF Career Award 2016 University of South Carolina Breakthrough Star Award 2018 Priti and Mukesh Chatter Career Development Chair 2013 Inventevent 3rd Award Dr. Yu has secured grants for energy and environmental research, including projects on transformational membranes for carbon capture and modular reactor systems. His Yu Research Group develops scalable membrane technologies for water purification, lithium-sulfur batteries, and pharmaceutical contaminant removal, collaborating with institutions like the National Carbon Capture Center.

• Architectural Geometry
• Digital Design
• Sustainable Materials
• +۴ مورد دیگر

Milena Stavric is an Associate Professor at TU Graz's Institute for Architecture and Media. Her research focuses on architectural geometry, digital design, and sustainable materials. She integrates computational methods and digital fabrication techniques into architectural design, emphasizing eco-friendly materials like mycelium composites, alginate-based materials, and clay ceramics. Her work bridges theoretical research with practical applications, such as BIM integration for salvage materials and parametric modeling for freeform structures. She teaches courses in architectural geometry and digital design, contributing to advanced computational workflows from concept to fabrication. Her projects often explore the interplay between material properties and structural form, aiming to advance sustainable construction practices. Research interests include: sustainable building materials (e.g., mycelium-based insulation, alginate xerogels), parametric design strategies, and digital fabrication methods for lightweight ceramics. She explores novel fabrication techniques like coextrusion of clay composites and robotic fabrication of modular formwork. Her work frequently addresses environmental impacts through life cycle assessments and biogenic carbon analysis. Key projects involve material innovation (e.g., MyCera: clay-mycelium composites), digital tools development for early design phases, and educational initiatives like interactive math learning environments. Her contributions span academic publications and applied research, with a focus on integrating geometry, computation, and sustainability in architectural practice.

• Pure and Applied Mathematics
• Algebraic Geometry
• Moduli Spaces
• +۴ مورد دیگر

Dr. David Alfaya Sánchez is an Associate Professor at the Department of Applied Mathematics, ICAI-Comillas, and an Associate Researcher at the Institute for Research in Technology (IIT). He holds a PhD in Mathematics from Universidad Autónoma de Madrid (2018), with prior degrees in Mathematics and Computer Science (both First National Prizes in their respective areas). His research integrates pure and applied mathematics, focusing on moduli spaces of decorated bundles (Higgs bundles, parabolic structures), Information Geometry, and AI-Math interactions. Education: PhD in Mathematics, UAM (2018) MSc in Mathematics and Applications (2014) MSc in Research & Innovation in ICT (2015) BSc in Mathematics (2013, First National Prize) BSc in Computer Science Engineering (2013, First National Prize) Research Interests: Algebraic Geometry: Moduli spaces of bundles, Higgs bundles, parabolic structures Information Retrieval & Geometry Blockchain technologies Applications of AI to mathematics His work bridges theoretical foundations (e.g., Torelli theorems) with computational tools (e.g., SymPy implementations). Grants & Projects: ERC Synergy Grant: Mathematicae Lingua Franca (2025–2031) Computational methods for moduli spaces (2023–2026) DLT-based distributed networks (2019–2020) Teaching & Innovation: Leads the Maths Team Contest (MTC), fostering collaborative problem-solving. Authored textbooks like Matemáticas Empresariales II and Habilidades Profesionales . Recent Publications: Focus on moduli spaces (e.g., Torelli theorems), AI applications (e.g., neural network sensitivity analysis), and symbolic computation (e.g., λ-ring simplifications).

Jonathan Kirbyمشاهده پروفایل

استاد

• Model Theory
• Number Theory
• Analytic Functions
• +۵ مورد دیگر

Jonathan Kirby is a Professor of Mathematics at the University of East Anglia (UEA), where he holds roles including Deputy Director of Teaching and LMS Departmental Representative. His academic journey includes a DPhil from the University of Oxford (2002–2006) and a MSc in Mathematical Logic from the University of Manchester (2001–2002). He has held positions ranging from Lecturer (2009–2014) to Senior Lecturer (2014–2019) before becoming a Reader and Professor in 2019. Research Interests : Kirby specializes in Model Theory and its applications to complex analysis, number theory, and algebraic geometry. His work explores connections between model theory and analytic functions, including the complex exponential function, modular j-function, and elliptic curves. Key themes include Zilber’s pseudo-exponential fields, Schanuel’s conjecture, and quasiminimal excellence. Publications Overview : His recent work focuses on quasiminimal structures, closure operators, and independence relations in exponential fields. Notable contributions include studies on algebraic types in Zilber’s exponential field and a geometric approach to exponential equations. These studies reflect his deep engagement with foundational questions in logic and their interactions with algebra and analysis. Teaching & Engagement : Kirby teaches Model Theory, Mathematical Logic, and Category Theory. He authored An Invitation to Model Theory , a textbook accessible to graduate students and researchers. He also coordinates the SEEMOD network, fostering collaboration in model theory across the UK. Grants & Leadership : He has led projects funded by the EPSRC and LMS, including studies on exponentially algebraically closed fields and the Galois theory of exponential fields. His administrative roles at UEA include advising on equality and diversity and managing the MAGIC consortium for PhD-level courses.

Agnès Beaudryمشاهده پروفایل

دانشیار

• Algebraic Topology
• Stable Homotopy Theory
• Chromatic Homotopy Theory
• +۲ مورد دیگر

Agnès Beaudry is an Associate Professor in the Department of Mathematics at the University of Colorado Boulder, specializing in algebraic topology and stable homotopy theory. Her research focuses on chromatic homotopy theory, equivariant homotopy theory, and their connections to condensed matter physics. She develops mathematical frameworks to understand topological phases in quantum systems and studies interactions between homotopy theory and quantum physics. Beaudry investigates how algebraic topology techniques can be applied to analyze quantum spin systems and topological phases of matter. Her work reconstructs spectral sequences and duality resolutions to uncover fundamental structures in stable homotopy theory. Recent publications demonstrate her interdisciplinary approach combining mathematical physics with advanced topological methods. Her extensive publication record demonstrates consistent contributions to homotopy theory, with recent work focusing on K(2)-localization, Morava stabilizer groups, and parametrized quantum systems. She actively mentors graduate students and contributes to mathematical physics collaborations.

• Soft Robotics
• Mechanical Metamaterials
• Nonlinear Dynamics
• +۳ مورد دیگر

Bas Overvelde is the Group Leader of the Soft Robotic Matter Group at AMOLF in Amsterdam and an Associate Professor (part-time) at Eindhoven University of Technology (TU/e) . His research focuses on embodied intelligence in soft robotic systems, combining mechanics, metamaterials, and nonlinear dynamics to create autonomous, adaptive machines. He leads a multidisciplinary team working on applications like soft robotic hearts, grippers, and smart architectural facades. Education: BSc and MSc in Mechanical Engineering (cum laude) from TU Delft (2004–2012) PhD in Applied Mathematics from Harvard University (2016), under Prof. Katia Bertoldi Research Interests: Soft robotics and bio-inspired design Mechanical metamaterials and nonlinear dynamics Autonomous systems and environmental feedback Applications in biomedical engineering and sustainable architecture Key Achievements: Developed programmable fluidic robots using pneumatic coding blocks Designed a soft robotic artificial heart prototype Explored synchronization in modular soft robotic limbs Labs/Teams: Leading the Soft Robotic Matter Group at AMOLF Collaborates with TU/e’s Institute for Complex Molecular Systems