جست‌وجوی استاد و پژوهشگر

Lucas Gerinمشاهده پروفایل

مدرس

• Random graphs
• Permutations
• Scaling limits
• +۳ مورد دیگر

Lucas Gerin is a Lecturer-researcher at the École Polytechnique's CMAP Probability Department. His roles include co-heading the Probability Department and supervising PhD students such as Théo Lenoir and Maxime Marivain. His research focuses on random graphs, permutations, scaling limits, and probabilistic combinatorial optimization, with notable contributions to permutation patterns and graphon limits. Education: PhD in Applied Mathematics from Université Henri Poincaré (2008), Habilitation to Supervise Research from Université Paris-Sud (2018). Grants: ANR Louccoum (2025-2029). Events: Organized PC Days 2022, designed logo for Permutation Patterns 2019, participated in conferences like European Meeting of Statisticians (2015). Labs/Teams: Active in CMAP research groups focusing on probability and combinatorial structures. Research highlights include work on the Ulam-Hammersley problem, dense graph limits, and longest increasing paths in permutations. His interdisciplinary work bridges probability theory, combinatorics, and statistical physics.

John Durodolaمشاهده پروفایل

استاد

• Predictive Modeling
• Mechanical Behavior of Materials
• Fatigue Analysis
• +۸ مورد دیگر

John Durodola is a Professor in Mechanical Engineering and Mathematical Sciences at Oxford Brookes University, affiliated with the School of Engineering, Computing and Mathematics. He teaches modules such as statics and dynamics, and serves as the Post Graduate Research Tutor for engineering and mathematics students. His academic background includes a PhD and DIC. His research focuses on predictive modeling for engineering components, mechanical behavior of materials, and applications in automotive and aerospace industries. Key interests include artificial neural networks applied to fatigue and NDE, noise vibration and harshness (NVH), lightweight vehicle structural analysis, and finite element methods. He has collaborated with automotive companies and held a Visiting Fellowship at Nanyang Technological University (2015). Professor Durodola has secured significant research grants, including an EPSRC-funded NVH project (£371k, 2003–2007) and contributions to the LIVEMAN project on adhesive bonding for lightweight vehicles. His work has been published in leading journals and he reviews articles for various academic journals. He has advised students such as Abhinav Priyardashi, whose 2022 thesis explored ultrasonic melt treatment effects on Al-based alloys. His research has influenced areas like functionally graded materials and residual stress analysis.

• Calculus of Variations
• Partial Differential Equations
• Probability Theory
• +۵ مورد دیگر

Role: Professor of Mathematics at Purdue University, Department of Mathematics. Serves as faculty in the College of Science. Specializes in applied analysis, stochastic processes, and mathematical modeling in materials science. Active in teaching graduate courses on dynamical systems and partial differential equations. Education: Bachelor of Science in Electrical Engineering, Purdue University (1991) PhD in Mathematics, Princeton University (1996) Research Interests: Focuses on calculus of variations, PDEs, probability theory, and applied mathematics with applications to materials science. Explores topics like geometric flows, stochastic differential equations, and mathematical modeling of crystal growth and dislocation dynamics. Organizes conferences on stochastic analysis and industrial mathematics applications. Awards: Recipient of Purdue's prestigious Book of Great Teachers (2018), Ruth and Joel Spira Teaching Award (2005), and Teaching for Tomorrow Award (2003). Recognized for excellence in both teaching and mentoring. Students & Mentoring: Advised PhD students in topics ranging from surface diffusion to neural networks. Notable advisees include Fang Wan (2010), Chaoqun Huang (2012), and Yuqing Li (2021). Also mentored undergraduate researchers in projects like car parking problems and random walks in random media. Recent Activities: Organized workshops like the Mathematics and Statistics in Industry Workshop (2025) and Stochastic Analysis conferences (2023, 2025). Active in interdisciplinary research, including collaborations on optical manipulation of colloids and privacy vulnerabilities in mobility data.

• Chronic Disease Management
• Patient-Centered Outcomes Research
• Nephrology
• +۴ مورد دیگر

Professor Allison Jaure is a Principal Research Fellow at the Sydney School of Public Health, The University of Sydney, and Co-Director of the Centre for Kidney Research at The Children's Hospital at Westmead. She holds an Australian NHMRC Investigator Award and a Robinson Fellowship. Her work focuses on patient-centered outcomes research in chronic kidney disease, particularly in chronic kidney disease (CKD) and transplant medicine. She co-founded the Patient-Centred Research Network (PACER) and leads the global Standardised Outcomes in Nephrology (SONG) Initiative. Research interests include research priority setting, core outcomes for clinical trials, and improving healthcare access equity. She has developed key reporting guidelines like the COREQ and ENTREQ for qualitative research. Teaching includes qualitative methods and systematic review methodologies at institutions like Stanford University and Mayo Clinic. Awards include the Ian McKenzie Prize (2019) and Kidney Health Australia Prize (2017). Her lab collaborations involve the Charles Perkins Centre and Sydney Southeast Asia Centre. Current projects address psychosocial aspects of living kidney donation and stakeholder perspectives on organ allocation. Advising focuses on mentoring PhD students like Victoria (Aboriginal health and CKD disparities). She has published over 150 peer-reviewed articles, emphasizing global health equity and patient involvement in research design and implementation.

• Operations Management
• Revenue Management
• Pricing Strategies
• +۴ مورد دیگر

Tarek Abdallah is an Associate Professor of Operations at the Kellogg School of Management, Northwestern University, since 2018. He holds a Ph.D. in Operations Management from NYU Stern School of Business, an MSc in Management Science from the University of Waterloo, and a BSc in Industrial Engineering from Middle East Technical University. His research focuses on the intersection of operations management, economics, and marketing, particularly in pricing and revenue management for traditional and innovative marketplaces. Key interests include subscription services, bundle pricing mechanisms, and demand estimation from censored sales data. He has published extensively on topics like dynamic pricing, inventory scarcity effects, and large-scale bundling strategies. Abdallah's work emphasizes practical applications of operations research, combining theoretical models with real-world data. His recent studies explore data-driven demand predictions, regime-dependent pricing approximations, and the impact of market growth on delivery systems. His research has been recognized with the Harold W. MacDowell Ph.D. Dissertation Award. He teaches courses on decision models, prescriptive analytics, and operations management, emphasizing tools like optimization and Monte Carlo simulation for strategic decision-making. His academic contributions bridge theory and practice, addressing challenges in supply chain, retail, and service industries.

Teri Odomمشاهده پروفایل

استاد

• Nanofabrication
• Plasmonic Materials
• Nano-lasers
• +۴ مورد دیگر

Teri Odom is the Charles E. and Emma H. Morrison Professor of Chemistry and a courtesy Professor of Materials Science and Engineering at Northwestern University's McCormick School of Engineering. Her research focuses on nanofabrication, plasmonic materials, nano-lasers, and bioimaging, with applications in photonics, energy, and biomedicine. Notable achievements include over 200 publications, editorship of Nano Letters , and prestigious awards such as the NIH Director’s Pioneer Award and Vannevar Bush Faculty Fellowship. She leads the Odom Group, advancing nanoscale materials for optoelectronics and biomedical diagnostics. Odom’s work spans plasmonic lattices, quantum dot lasing, and antifouling nanoelectrodes. She holds affiliations with the PhD Program in Interdisciplinary Biological Sciences and collaborates with institutions like Argonne National Laboratory. Recent recognitions include the 2025 Kirkwood Award and Phi Beta Kappa Visiting Scholar appointment.

Wesley Pegdenمشاهده پروفایل

استاد

• Discrete Mathematics
• Probabilistic Combinatorics
• Combinatorial Game Theory
• +۷ مورد دیگر

Wesley Pegden is a Professor in the Department of Mathematical Sciences at Carnegie Mellon University, affiliated with the Mellon College of Science. He holds a Ph.D. from Rutgers University. His research focuses on Discrete Mathematics, including probabilistic combinatorics, combinatorial game theory, graph theory, and discrete geometry. A central theme of his work is the Abelian sandpile model, where he has explored fractal patterns and connections to Apollonian circle packings. Collaborations with Lionel Levine and Charles Smart have advanced understanding of the sandpile's geometric properties through novel constructions of integer superharmonic functions. His work extends to applications in network science, epidemiological modeling, and statistical sampling biases (e.g., analyzing the Bangladesh mask trial). Notably, he contributed to studies on gerrymandering and congressional districting, including an expert analysis of Pennsylvania's district map. Awards include the Sloan Research Fellowship. Research Highlights: Abelian sandpile fractal geometry, algorithmic local lemma extensions, and random graph dynamics. Key Collaborations: Lionel Levine, Charles Smart, Alan Frieze.

Claudio Chamonمشاهده پروفایل

استاد

• Condensed Matter Physics
• Topological Materials
• Quantum Computing
• +۳ مورد دیگر

Claudio Chamon is a Professor at Boston University, specializing in condensed matter physics and quantum computing. His research focuses on electron fractionalization in topological systems, quantum spin liquids, and fractonic behavior. He holds a Ph.D. in Theoretical Physics from MIT, along with M.S. and B.S. degrees in Electrical Engineering and Aeronautics/Astronautics, also from MIT. His work bridges theoretical and experimental condensed matter physics, with contributions to topological materials, quantum phase transitions, and quantum information science. Key research areas include topology-driven fractionalization in graphene-like structures, non-Abelian gauge theories, and quantum computing applications such as encrypted operator computing. Chamon has pioneered studies on Majorana zero modes in nanowire networks and braiding non-Abelian anyons in photonic systems. His experimental collaborations aim to realize topological qubits and quantum spin liquids in programmable devices. He has received prestigious awards including the American Physical Society Fellowship, Alfred P. Sloan Fellowship, and NSF CAREER Award. Chamon’s recent work explores quantum circuit complexity, fracton dynamics, and secure computation on encrypted data, leveraging tensor networks and combinatorial symmetries.

Arin Connellمشاهده پروفایل

دانشیار

• Developmental Psychology
• Clinical Psychology
• Mental Health Interventions
• +۴ مورد دیگر

Dr. Arin Connell is an Associate Professor and Director of Clinical Training in the Department of Psychology at Case Western Reserve University. Their work focuses on understanding the etiology of depression and anxiety in youth, translating developmental models into prevention programs, and applying quantitative methods for intervention research. They lead the FREY Study examining emotional regulation in adolescents, and the NEF Study on brain responses to emotional stimuli. Current projects include refining family-centered interventions like the Family Check-Up to reduce depression risks and improve long-term resilience. Education: B.S., Pennsylvania State University; M.A. & Ph.D., Emory University; Postdoctoral training at University of Oregon. Research employs multi-method approaches, including psychophysiological and neurobiological measures (EEG, ERP, heart-rate variability). Collaborations with Tom Dishion, Danny Shaw, and others focus on quantitative methods like latent growth modeling and mixture models. Advises graduate students Sarah Danzo, Glen Dawson, and Kelsey Magee. Lab work emphasizes safe, comfortable recordings of autonomic and central nervous system processes in families. Studies explore links between family dynamics, emotional arousal, and psychosocial outcomes. Current projects address suicide prevention, digital health interventions, and intervention efficacy across diverse populations.

Richard Robertsمشاهده پروفایل

استاد

• Ethnic Minority Entrepreneurship
• SME Finance
• Business Demographics
• +۱ مورد دیگر

Richard Roberts is Professor and Professorial Research Fellow at Aston University's Aston Business School, affiliated with the Centre for Research in Ethnic Minority Entrepreneurship (CREME). With a background as Barclays' Chief Economist and extensive experience in SME banking policy, his research addresses ethnic minority enterprise development, business demographics, and small business finance. Research investigates: Barriers to ethnic minority entrepreneurship Longitudinal business demographics Bank-SME relationships Policy frameworks for small business support Historical trends in business formation Recent publications focus on new venture survival prediction, firm growth randomness debates, and critical analyses of entrepreneurship training efficacy. Methodological approaches blend econometric analysis with conceptual critiques of business growth theories. Honored as MBE for contributions to economic research. Serves on advisory panels including the Treasury Select Committee on SME Finance and the British Business Bank. Current projects examine sustainable funding models for Community Development Finance Institutions (CDFIs) and historical business geography.

Tom Bohmanمشاهده پروفایل

استاد

• Extremal Combinatorics
• Probabilistic Combinatorics
• Discrete Mathematics
• +۳ مورد دیگر

Tom Bohman is a Professor of Mathematical Sciences at Carnegie Mellon University, affiliated with the Mellon College of Science. His research focuses on extremal and probabilistic combinatorics, exploring discrete structures inspired by mathematics, information theory, statistical physics, and computer science. He holds a Ph.D. from Rutgers University and has held postdoctoral positions at MIT and the Mathematical Sciences Research Institute (MSRI). Bohman's work includes studies on random graph processes, such as the triangle-free process and Hamilton cycles in random graphs, as well as hypergraph coloring and Ramsey numbers. His publications span over three decades, addressing topics like coprime matchings, lonely runner conjectures, and dynamic concentration phenomena in combinatorial systems. He teaches advanced courses in combinatorics and discrete mathematics, including Graph Theory and Random Structures & Algorithms. His research has contributed to understanding phase transitions in random processes and the interplay between combinatorial structures and probabilistic methods. While no awards are explicitly listed, his extensive publication record and editorial roles (e.g., with Random Structures & Algorithms ) highlight his academic impact. Bohman's work often bridges theoretical foundations with algorithmic applications, influencing both pure and applied combinatorics.

• Quantum Mechanics
• Statistical Mechanics
• Condensed Matter Physics
• +۳ مورد دیگر

Silvia Noemi Santalla Arribas is an Associate Professor at Universidad Carlos III de Madrid, specializing in theoretical and condensed matter physics. She currently serves as Coordinator of the Final Degree Project in Science and Director of the Science Degree program. Her research focuses on quantum systems, statistical mechanics, and non-equilibrium dynamics, with notable contributions to topics such as entanglement entropy in spin chains, Kardar-Parisi-Zhang universality, and applications of statistical mechanics to epidemic modeling. Her work bridges quantum information theory, material science, and interdisciplinary systems like social networks. Her publications span over two decades, addressing phenomena ranging from Ising interface dynamics to nanowire reconstruction under magnetic fields. Notable trends include exploring universality classes in stochastic systems, quantum correlations in inhomogeneous media, and the interplay between geometry and entanglement. She has also engaged in science education outreach, such as a course on Women in Science for business students. Her advising and grants include directing academic programs and coordinating research projects, though specific student names or grant details are not publicly listed. She is affiliated with the university’s research portal, collaborating on networks and co-author maps in theoretical physics domains.

Lori Ann Vallisمشاهده پروفایل

استاد

• Biomechanics
• Motor Control
• Neurophysiology
• +۴ مورد دیگر

Dr. Lori Ann Vallis is a Professor at the University of Guelph, specializing in biomechanics, motor control, and neurophysiology. Her research focuses on locomotor control in aging populations, children's motor development, and the interplay between cognitive tasks and movement. She holds a B.Sc. in Human Kinetics from the University of Ottawa, an M.Sc. and Ph.D. in Biomechanics/Kinesiology from the University of Waterloo, and a postdoctoral fellowship at Université Laval. Her research explores how vision, cognitive load, and aging affect locomotion strategies. Notable projects include investigating dual-task interference in obstacle avoidance and the biomechanics of aging adults. She leads the Guelph Family Health Study, focusing on childhood obesity prevention. Recent work examines sleep patterns in toddlers, machine learning applications in health monitoring, and exercise interventions for Parkinson’s disease. Her grants include Ontario Neurotrauma Foundation funding and NSERC Discovery Grants. She advises multiple graduate students and collaborates on interdisciplinary projects. Labs/Teams: Guelph Family Health Study, Biomechanics Research Group.

Ümmü Seleme Nizam Bayrakمشاهده پروفایل

پژوهشگر

• Hyperuniformity
• Nonlinear dynamics
• Random matrix theory
• +۳ مورد دیگر

Ümmü Seleme Nizam Bayrak is a Researcher at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, affiliated with the Simply Complex Lab. She holds a Ph.D. in Electrical Engineering and Information Technology from Ruhr University (2019–2025), an M.Sc. in Physics from Boğaziçi University (2014–2019), and a B.Sc. in Mathematics from the same institution (2009–2014). Her research focuses on hyperuniformity , nonlinear dynamics , and complex systems , with applications in materials science, biophysics, and interdisciplinary studies. Recent work explores self-organization in dissipative systems and universality across scales, from quantum dots to biological cells. Her publications highlight advancements in laser-based synthesis techniques and nonlinear systems, reflecting a blend of experimental and theoretical approaches. She actively contributes to the Simply Complex Lab’s projects, investigating emergent phenomena in driven systems and complex networks.

• Partial Differential Equations
• Homogenization
• Calculus of Variations
• +۳ مورد دیگر

Peter S. Morfe is a Research Fellow at the Max Planck Institute in Leipzig, supervised by Felix Otto. He holds a Ph.D. from the University of Chicago (2022), advised by Panagiotis Souganidis. His research focuses on elliptic/parabolic PDEs, homogenization, calculus of variations, and stochastic processes. He was supported by the NSF Mathematical Sciences Postdoctoral Research Fellowship from 2022 to 2024. His educational background includes a Ph.D. in Mathematics (2022) from the University of Chicago and prior academic training leading to his postdoctoral appointment. Research interests span theoretical and applied analysis, with emphasis on homogenization theory, nonlinear PDEs, and stochastic methods. Key themes include phase transitions, effective properties of random media, and connections between PDEs and probability. His work bridges mathematical physics and materials science, addressing questions in continuum mechanics and stochastic processes. Publications highlight contributions to drift-diffusion equations, Gaussian free fields, and homogenization in heterogeneous media. Recent work explores scaling limits, Pareto peeling, and surface tension phenomena in periodic environments. Notable collaborations include studies with Felix Otto, Panagiotis Souganidis, and others in fluid dynamics and stochastic analysis. Morfe’s NSF fellowship (2022–2024) underscores recognition of his research potential. He has contributed to advancing techniques in viscosity solutions and variational principles, with applications to both pure and applied mathematical problems. His work often integrates analytical rigor with computational insights, reflecting interdisciplinary strengths.