Francis J. Flynn, known as Frank, is the Paul E. Holden Professor of Organizational Behavior at Stanford Graduate School of Business (GSB). He holds a PhD from UC Berkeley and joined Stanford in 2006 after roles at Columbia Business School. His academic focus revolves around leadership, employee cooperation, and mitigating workplace stereotypes. A renowned teacher, he employs the 'Three E’s' method: Engagement, Evidence, and Examples, emphasizing hands-on learning and real-world application. Education : PhD in Organizational Behavior, UC Berkeley (2000) MS in Business, UC Berkeley (1999) BBA, University of Notre Dame (1994) Research Interests : Frank explores why good intentions fail to produce desired outcomes in organizations, focusing on psychological barriers to cooperation. His work bridges management and social psychology, addressing topics like leadership emergence, stereotype reduction, and decision-making dynamics. Executive Education : He designs programs for companies including Google, Microsoft, and Bank of America, specializing in leadership and decision-making. His courses at Stanford include OB 206: Organizational Behavior and OB 377: The Paths to Power . Awards : Spence Faculty Fellow (2020–21) James & Doris McNamara Faculty Fellow (2013–14) Leadership Roles : Director of Executive Leadership Development at Stanford GSB, overseeing programs like the Executive Leadership Development initiative. Personal : An avid hiker and introvert-turned-public speaker, Frank advocates for deliberate practice. His book recommendations and teaching philosophy emphasize simplifying complex ideas, as seen in his推崇 of Michael Schur’s How to Be Perfect .
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۱۶-۳۰ از ۸۹۰ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Dr. Jia Zhang is the Inaugural Robert H. Dedman Jr. Endowed Department Chair and Professor of Computer Science at Southern Methodist University (SMU Lyle School of Engineering). She holds the Cruse C. and Marjorie F. Calahan Centennial Chair in Engineering and has a courtesy appointment in the Department of Operations Research and Engineering Management. Her research focuses on applying machine learning, natural language processing, and information retrieval to data science infrastructure, particularly scientific workflows, provenance mining, software discovery, knowledge graphs, cloud computing, immune AI, and applications in earth science and healthcare. Education: Ph.D. in Computer Science, University of Illinois at Chicago M.S. in Computer Science, Nanjing University B.S. in Computer Science, Nanjing University Dr. Zhang's work emphasizes data science infrastructure and machine learning for scientific workflows and knowledge graphs. Her recent publications highlight deep learning , graph neural networks , and optimization algorithms in cloud computing, cybersecurity, and environmental applications. Key trends include spatiotemporal modeling , hybrid neural architectures , and AI-driven service ecosystems . Scientific Awards: Best Paper Awards IEEE SCC (2011, 2017) Best Student Paper Awards IEEE ICWS (2014, 2018), IEEE ICCC (2018) Distinguished Paper Award ICSOC (2023) First Outstanding Service Award IEEE Technical Committee on Services Computing (2016) She has secured over $5 million in federal grants (as PI) and $11 million as PI/Co-PI from NSF, NASA, NIH, UTSW, Ericsson, SAP, and Google. Her lab (Caruth Hall 308) actively recruits research assistants. She previously served as a faculty member at Carnegie Mellon University, Northern Illinois University, and Nanjing University, and worked in industry as a software architect.
- Nanophotonics
- Plasmonics
- Metamaterials
- +۷ مورد دیگر
Jon Schuller is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), within the College of Engineering. His research focuses on nanophotonics, metamaterials, plasmonics, and their applications in energy-efficient technologies such as photovoltaics, thermal management systems, and advanced optical devices. He leads the Schuller Lab, which explores engineered metasurfaces and naturally occurring materials to control light-matter interactions at subwavelength scales. His work bridges fundamental science (e.g., quantum phenomena in hybrid perovskites) and engineering (e.g., reconfigurable semiconductor meta-optics). He is affiliated with the California NanoSystems Institute (CNSI) and actively contributes to interdisciplinary research initiatives. Contact: jonschuller@ece.ucsb.edu, Office 3221C Engineering Science Building. Research interests include directional light emission control via metasurfaces, thermal radiation tuning using phase-change materials, and the development of high-efficiency photonic devices. His lab emphasizes fabrication and characterization of nanophotonic structures, with applications ranging from space technology to exoplanet imaging systems. Recent efforts focus on electrically tunable metasurfaces and multipolar optical phenomena in layered materials. Key technical contributions involve designing reconfigurable optical antennas, optimizing metasurface-based LEDs, and exploring magnetic dipole emission in 2D perovskites. His team collaborates across disciplines to address challenges in energy, aerospace, and quantum technologies. Current opportunities include postdoctoral positions in nonlinear optics and photonics.
Niladri Banerjeeمشاهده پروفایل
مدرس ارشد
- Quantum Materials
- Spintronics
- Superconductivity
- +۴ مورد دیگر
Niladri Banerjee is a Senior Lecturer in the Department of Physics at Imperial College London, serving as Research Representative of the Matter Community in Physics. His research focuses on atomic-precision growth of materials, advanced electronic and magnetic characterisation, and modelling to develop emergent quantum phases in low-dimensional systems including thin films and van der Waals materials. Education PhD, University of Cambridge Postdoctoral Research Associate, University of Cambridge Junior Research Fellow, Wolfson College, Cambridge Research Interests His work spans critical areas in quantum technology development: Quantum Materials: Engineering emergent quantum phases through atomic-precision synthesis of low-dimensional materials. Spintronics: Investigating spin-orbit coupling effects and triplet supercurrents in superconducting hybrid structures. Superconductivity: Developing superconducting switches, diodes, and proximity-effect devices for quantum computing. Nanomaterials: Characterising thin films and van der Waals heterostructures for next-generation electronic applications. Recent Publications His 2021-2025 publications demonstrate sustained leadership in superconducting spintronics and topological quantum materials. Key contributions include realising de Gennes' superconducting switch, roadmap development for quantum technologies, and flux-pinning mediated superconducting diodes. His work consistently bridges experimental synthesis with theoretical modelling to address challenges in quantum computing and neuromorphic technologies. Scientific Awards No scientific awards were mentioned in the provided materials. Advising and Grants Details regarding student advising and research grants were not specified in the available information. Labs and Teams As an active member of Imperial's Matter Community in Physics, Dr. Banerjee collaborates on advanced characterisation techniques and quantum device engineering, focusing on spin-orbit coupled materials and topological phenomena for quantum technology applications.
- Behavioral Economics
- Behavioral Operations Management
- Supply Chain Contracts and Bargaining
- +۵ مورد دیگر
Stephen Leider is the Dale L. Dykema Professor of Business Administration and Professor of Technology and Operations at the Ross School of Business, University of Michigan. His research focuses on behavioral economics and operations, exploring contracts, bargaining in supply chains, dynamic decision-making, and technology’s role in productivity. He holds a BA from Case Western Reserve University, and MA and PhD from Harvard University. Leider’s research spans behavioral operations management, including studies on symbolic awards in buyer-supplier relations, innovation sharing in product development, and the impact of decision rights. His work integrates experimental, theoretical, and empirical methods to address operational challenges influenced by human behavior. His recent articles highlight trends in algorithmic decision-making, replication studies in operations research, and the design of enterprise social media platforms. Education: BA in Economics, Case Western Reserve University (2003) MA and PhD in Business Economics, Harvard University (2006, 2009) Leider’s research has been published in top journals like Management Science and Manufacturing & Service Operations Management . He co-authored The Handbook of Behavioral Operations (2018), emphasizing interdisciplinary approaches to operational challenges. His work often bridges theory and practice, offering insights into how behavioral factors shape organizational and supply chain dynamics. Leider’s advising and grants focus on behavioral operations and entrepreneurship. He has collaborated on studies involving field experiments in the Philippines, exploring vote-selling and its implications for institutional trust. His lab focuses on behavioral analysis of strategic interactions and dynamic resource allocation, with ongoing projects on algorithm reliance and human decision-making under uncertainty.
David A. Muller serves as the Samuel B. Eckert Professor of Engineering in the School of Applied and Engineering Physics at Cornell University and co-directs the Kavli Institute at Cornell for Nanoscale Science. His research group focuses on developing quantitative electron microscopy methods to understand materials properties at the atomic scale, with particular emphasis on sustainable energy applications and quantum materials. Muller's laboratory utilizes some of the world's highest resolution electron microscopes housed in specially designed, environmentally isolated rooms. Muller received his undergraduate education at the University of Sydney and earned his Ph.D. in Physics from Cornell University in 1996. Between 1997 and 2003, he was a member of the technical staff at Bell Laboratories, where he applied his expertise in imaging single atoms and atomic-scale spectroscopy to determine the physical limits of transistor miniaturization. In 2003, he returned to Cornell as a faculty member, where he has since established himself as a leader in advanced electron microscopy techniques. Muller's research spans multiple frontiers in materials science, with particular focus on understanding how electronic-structure changes at the atomic scale control macroscopic behavior in diverse systems like turbine blades, fuel cells, and transistors. His current work emphasizes the physics of renewable energy materials, atomic-scale control of materials to create electronic phases that cannot exist in bulk, and developing hardware and algorithms for 'big data' acquisition from high-bandwidth pixelated electron microscope detectors. His group's work bridges theoretical physics and experimental techniques, requiring researchers who can think in both real and reciprocal space while considering both fundamental principles and practical applications. Analysis of Muller's recent publications reveals a strong trend toward advancing electron ptychography and 4D-STEM techniques for atomic-scale imaging. His group has pioneered methods for 3D atomic-scale metrology, strain mapping, and imaging of radiation-sensitive materials. The research spans applications from semiconductor technology to quantum materials and energy storage systems, demonstrating the versatility of his microscopy approaches across multiple scientific domains. Top 100 Young Innovator by Tech Review Magazine (2003) Burton Medal from Microscopy Society of America (2006) Ernst Ruska Prize of German Society for Electron Microscopy (2021) John Cowley Medal from International Federation of Societies for Microscopy (2023) Fellow of American Physical Society Fellow of American Association for the Advancement of Science Fellow of Microscopy Society of America Muller has mentored an extensive group of students and postdocs who have gone on to successful careers in academia and industry. His former students hold faculty positions at institutions including Rice University, University of Southern California, Seoul National University, Colorado School of Mines, and the University of Michigan, among others. His research has been supported by substantial grants, including a $22.5M NSF grant that accelerates materials discovery. The Muller lab maintains close collaborations with the Kavli Institute at Cornell and PARADIM (Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials). The Muller lab operates at the forefront of electron microscopy, housing specialized instrumentation including high-resolution transmission electron microscopes in environmentally isolated rooms. The group collaborates extensively with other research teams at Cornell and worldwide, focusing on understanding materials atom by atom. Current research directions include applying machine learning to electron microscopy data analysis, developing cryogenic techniques for studying low-melting-point materials, and exploring quantum phenomena in engineered materials systems.
Matt Kerr is a Professor of Mathematics at Washington University in St. Louis, where he has been affiliated since 2010. He holds a doctorate in Mathematics from Princeton University (2003) and has held prior positions at UCLA, the Max Planck Institute, the University of Chicago, and Durham University. His research focuses on Algebraic Geometry, Hodge Theory, and Mathematical Physics, with notable contributions to period maps, normal functions, and the arithmetic of motives. He has been awarded the Guido L. Weiss Teaching and Service Award (2024), a Simons Foundation Travel Grant (2024-2029), and the Barry M. Goldwater Scholarship (1996-1997). Dr. Kerr has organized numerous conferences, including the Western Algebraic Geometry Symposium (2023), and co-edited volumes such as Period Domains, Algebraic Cycles, and Arithmetic . He currently supervises four Ph.D. students (Xiaojiang Cheng, RJ Acuna, Devin Akman, Rachel Wu) and has mentored postdoctoral researchers like Ivan Horozov and Patricio Gallardo. His teaching spans advanced graduate courses (e.g., Complex Analysis, Algebraic Geometry) and undergraduate programs, including contributions to the Washington University Math Circle and the National Alliance for Doctoral Studies mentorship initiative. His work bridges pure mathematics and theoretical physics, particularly through studies of Feynman integrals, Calabi-Yau varieties, and quantum curves. He is actively involved in academic service, including roles on hiring committees, grant reviewing, and mentoring programs. Recent research themes include regulators of algebraic cycles, singularities in Hodge theory, and compactifications of moduli spaces. Grants: NSF grants (2011–2024), FRG grants, Simons Foundation awards, and EPSRC funding. Awards: Multiple teaching and service recognitions, including the 2024 Weiss Award. Publications: Over 40 peer-reviewed articles and books, including collaborations with leading mathematicians like Phillip Griffiths and Spencer Bloch.
David Al-Attar is a Professor at the University of Cambridge's Department of Earth Sciences, actively involved in theoretical and computational geophysics research. He serves as a supervisor within the Cambridge NERC Doctoral Landscape Awards (Training Partnerships) program, particularly in the CREATES initiative focusing on climate and environmental science. Education: While specific educational details aren't provided in the text, his extensive publication record and professorial position at Cambridge indicate advanced training in geophysics and applied mathematics. Research Interests: Professor Al-Attar's work spans several interconnected areas within geophysics. His primary focus includes theoretical and computational problems in geophysics, with particular emphasis on continuum mechanics as applied to Earth systems. He develops new physical and mathematical theories for understanding Earth processes, including rigorous function space methods for inverse problems and uncertainty quantification. His sea level change research aims to constrain ice sheet evolution during the last glacial period to better understand modern contributions to sea level rise. Additionally, he investigates solid Earth dynamics including seismic free oscillations, body tides, and Earth rotation, contributing to our understanding of deep Earth structure and mantle dynamics. Research Themes: His publications demonstrate expertise in adjoint methods, glacial isostatic adjustment, mantle viscosity, planetary seismology, and computational methods for geophysical problems. Recent work emphasizes 3-D Earth modeling, sensitivity analysis, and the integration of satellite observations with theoretical models. Current Projects: Potential projects for students include inverse problems related to deglacial sea level change with focus on uncertainty quantification, modern sea level monitoring using satellite data, and solid Earth dynamics particularly regarding outer core viscosity in tidal and rotational dynamics. Contact: He can be reached at da380@cam.ac.uk for research inquiries and collaboration opportunities.
Kristine Andra Avramمشاهده پروفایل
پژوهشگر ارشد
Kristine Andra Avram is a Visiting Researcher at the Center for Conflict Research (ZfK) at Philipps University of Marburg, serving as a Post-doctoral fellow in the BMBF project 'Transformations of Political Violence' (2024-2025). Her work bridges peace and conflict studies, narratology, and social sciences with a focus on meaning-making in contexts of political violence and state repression. Her educational background includes a PhD in Political Science (summa cum laude, 2022) from Philipps University of Marburg, an MA in Peace and Conflict Studies (2010-2013) with study abroad at the University of Haifa, and a BA in Communication Science and Romance Studies (2007-2010) from the University of Erfurt, including Erasmus at Complutense University of Madrid. Avram's research examines how narratives shape interpretations of violence, influence reckoning with traumatic pasts, and inform transitional justice efforts. Using interdisciplinary narrative and (auto)ethnographic methods, she reveals storytelling as a site of agency and resistance—both for processing historical violence and envisioning just futures. Her work centers on concepts like responsibility, truth, and hope within post-communist contexts, particularly Romania. Her recent publications (2023-2025) demonstrate methodological innovation in narrative analysis applied to political violence, with increasing attention to researcher positionality and reparative methodologies. Articles span qualitative frameworks, courtroom narratives, postcolonial critiques of peacebuilding, and ethical dimensions of studying violence. Key scientific awards include: Dissertation Award from Südost-europagesellschaft (2023) Honorable Mention from Gert-Sommer-Award for Peace Psychology (2023) Mobility Grant from EISA (2023) Scholarships from MARA, Friedrich Ebert Foundation, and University of Haifa She has secured significant research funding including a Fritz Thyssen Foundation grant (2017-2022) as co-applicant and has taught courses on narrative reconstructions of the past at Philipps University Marburg and Goethe University Frankfurt. Her advisory work includes designing memory projects and conflict resolution initiatives with pax christi Rhein-Main. Avram actively collaborates within the Center for Conflict Research's interdisciplinary teams, focusing on political violence, transitional justice, and narrative methodologies in post-communist contexts through projects like 'Ascribing Individual Criminal Responsibility' and 'Transformations of Political Violence'.
Rizwanur Khanمشاهده پروفایل
استادیار
Rizwanur Khan is an Assistant Professor in the Department of Mathematical Sciences at the University of Texas at Dallas (UT Dallas), affiliated with the School of Natural Sciences and Mathematics. His research focuses on analytic number theory, automorphic forms, and L-functions, with notable contributions to the study of moments of L-functions and elliptic curves. Education: Ph.D. in Mathematics, University of Michigan, Ann Arbor (2007) B.A. in Mathematics, University of Cambridge (2002) Research Interests: Khan’s work bridges analytic number theory and automorphic forms, emphasizing L-functions’ properties, such as moments, subconvexity bounds, and their applications to elliptic curves and modular forms. His research explores reciprocity relations, truncation techniques, and spectral analysis in these contexts. Publications Trends: Recent publications address moment estimates of L-functions, elliptic curve ranks over cyclotomic fields, and hybrid subconvexity bounds. His work often involves collaboration with experts in automorphic forms and spectral theory, reflecting a focus on advancing computational and theoretical tools in number theory. Awards: NSF CAREER Grant (2022–2027) NSF Standard Grant (2020–2024) Simons Collaboration Grant for Mathematicians (2019–2023) NSF CBMS Conference Grant (2018–2020) NSF Postdoctoral Fellowship (2007–2010) Grants and Advising: Khan has secured significant NSF and Simons Foundation funding to support research on L-functions and subconvexity. While no students are explicitly listed, his postdoctoral and faculty roles suggest mentorship in mathematical research. He has held positions at UCLA, University of Göttingen, Texas A&M at Qatar, and the University of Mississippi before joining UT Dallas in 2023. Labs/Teams: No specific labs or teams are mentioned, though his work likely intersects with number theory groups at UT Dallas and collaborating institutions.
- Tropical Geometry
- Cluster Algebras
- Combinatorics
- +۵ مورد دیگر
David E Speyer is a Professor in the Department of Mathematics at the University of Michigan . His research focuses on algebraic problems with combinatorial flavors , particularly in tropical geometry , cluster algebras , and geometry of Lie groups . He has supervised multiple PhD students, including Shelby Cox, Will Dana, and John Wiltshire-Gordon, and collaborated on projects with undergraduates like Grant Barkley and Benjamin Branman. Education: PhD in Mathematics from UC Berkeley under Bernd Sturmfels; undergraduate at Harvard. Research: Key areas include tropical geometry , cluster algebras , and flag manifolds . His work often bridges combinatorics, algebraic geometry, and representation theory. Publications: Over 40 papers, including breakthroughs in cluster algebras , affine weak order , and braid variety cluster structures . Awards: Clay Research Fellow (2005-2010). Teaching: Coordinates courses like Math 593 (graduate algebra) and Math 214 , with a focus on inquiry-based learning .
Prof. Dr. Peter Schneider is a faculty member at the University of Münster, affiliated with the Faculty of Mathematics and Computer Science and the Department of Mathematics and Computer Science . He is a principal investigator in the CRC 1442 Geometry: Deformations and Rigidity and contributes to the Mathematics Münster cluster. University: University of Münster School: Faculty of Mathematics and Computer Science Department: Department of Mathematics and Computer Science Academic Rank: Professor His research focuses on arithmetic geometry and representation theory , particularly the p-adic Langlands program , cohomology theories in mixed characteristics, and noncommutative algebraic structures. He investigates derived categories of p-adic representations, moduli spaces of Galois representations, and geometric approaches to automorphic forms. He has supervised numerous students, including Torsten Schoeneberg (2009), Marten Bornmann (2009), and Marius Kley (2016, 2019). His collaborative works with Rachel Ollivier, Otmar Venjakob, and Marie-France Vigneras explore modular Hecke algebras, Iwasawa theory, and (phi, Gamma)-modules. Emails: pschnei@wwu.de pschnei@uni-muenster.de Workshops Organized: Noncommutative Algebras (2006) Instructional workshop on noncommutative main conjectures (2011) International workshop on K-types for p-adic groups (2003)
Eleanor Powerمشاهده پروفایل
دانشیار
Dr. Eleanor Power is an Associate Professor in the Department of Methodology at the London School of Economics and Political Science (LSE). Her research focuses on the interplay between belief, practice, identity, and social relationships, with a particular emphasis on how reputational dynamics shape social inequality and cooperation. She combines ethnographic methods with social network analysis to study these phenomena in South India and cross-culturally. Education: Eleanor holds a PhD in Anthropology from Stanford University (2015). Prior to joining LSE in 2017, she was an Omidyar Postdoctoral Fellow at the Santa Fe Institute. She is fluent in English and Tamil. Research Interests: Eleanor examines signaling theory, religious practice, and the micro-dynamics of social inequality, including the 'reputational poverty trap.' Her current projects include co-directing the ENDOW project on social and economic inequality and leading the Rep2SI project on reputational dynamics. Her work bridges anthropology, sociology, and computational social science. Publications: Her recent work explores latent network models, cooperative behavior in South Indian communities, and the role of reputation in human social networks. She also collaborates on interdisciplinary projects, such as analyzing reproductive inequality across species and the impact of art workshops on prisoners' well-being. Awards: While no specific awards are listed, her research has been highlighted in LSE's 30th Anniversary celebrations for its interdisciplinary innovation and collaborative nature. Grants and Labs: Eleanor leads the Rep2SI project and co-directs the ENDOW project, indicating active grant-funded research. She is affiliated with LSE's Department of Methodology and has collaborated with institutions like the Santa Fe Institute.
Onur Varolمشاهده پروفایل
استادیار
Onur Varol is an Assistant Professor at Sabanci University's Computer Science Department and leads the VIRAL Lab, which focuses on computational social science, network science, and machine learning. He has affiliations with the Center of Excellence for Data Analytics. His research spans social bot detection, misinformation analysis, and online behavior modeling.
Maartje Bastings is an Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL) , leading the Programmable Biomaterials Laboratory (PBL) within the School of Engineering (STI) . She holds additional affiliations with the Institute of Materials (IMX) , IBI-STI (Bioengineering), and supervises doctoral programs in Biotechnology and Biological Engineering ( EDBB-GE ) and Materials Science and Engineering ( EDMX-GE ). Her research focuses on DNA-based supramolecular materials engineered to achieve dynamic reciprocity —a two-way interaction between synthetic materials and biological systems. By leveraging DNA as a programmable scaffold, she investigates structural mechanics, valency control, and geometric constraints governing self-assembly and cell communication at bio-interfaces. Key applications include immune system modulation, diagnostics , and vaccine development . Analysis of her 15 most recent publications reveals a focus on multivalent interactions for T-cell activation, spatial patterning in immune signaling, and engineered coatings for DNA origami stability. Subfields span T cell receptor engineering , nanoscale protein dynamics , stimuli-responsive biomaterials , and bio-inspired therapeutic design . PhD Students: Chen Yuduo Hendrickx Pauline Bart M. Kononenko Artem Li Shujie Lou Yameng Meyer Pitt Narita Minako Rousseau Benjamin Bila Hale Caroprese Vincenzo Comberlato Alice Kurisinkal Eva Eugene Paloja Kaltrina Rodríguez Franco Hugo José Tekin Cem Wong Siu Ho Contact: maartje.bastings@epfl.ch