جست‌وجوی استاد و پژوهشگر

Afonso S. Bandeiraمشاهده پروفایل

استاد

• High Dimensional Probability
• Random Matrices
• Mathematical Statistics
• +۳ مورد دیگر

Afonso S. Bandeira is a Professor in the Department of Mathematics (D-MATH) at ETH Zurich, where he conducts research at the intersection of mathematics, statistics, and computer science. He maintains strong affiliations with several interdisciplinary research centers including the Institute For Operations Research (IFOR), the Max Planck ETH Center for Learning Systems, the ETH Foundations of Data Science, and the ETH AI Center, with a courtesy appointment at D-ITET. Bandeira actively teaches courses including Mathematics of Signals, Networks, and Learning, and Mathematics of Data Science. His research focuses on High Dimensional Probability, Random Matrices, Mathematical Statistics, Theoretical Computer Science, Combinatorics, and Mathematical Optimization. Bandeira's work often explores the theoretical foundations of data science, examining phase transitions in statistical problems, computational barriers, and the geometry of high-dimensional spaces. He maintains a research group blog called Randomstrasse101 that emphasizes open problems in his field. Analysis of his recent publications reveals a strong focus on matrix and tensor concentration inequalities, synchronization problems, nonconvex optimization landscapes, and computational-statistical tradeoffs in high-dimensional inference. His work bridges theoretical mathematics with practical applications in machine learning and data analysis, particularly examining where computational limitations arise in statistical problems. Bandeira actively mentors students and researchers, currently supervising several doctoral candidates including Daniil Dmitriev, Konstantin Donhauser, Anastasia Kireeva, Kevin Lucca, Chiara Meroni, Gil Kur, Petar Nizic-Nikolac, and Almut Roedder. He emphasizes that students working with him should participate in the DACO seminar and group meetings, and encourages prospective students to have completed his Mathematics of Signals, Networks, and Learning or Mathematics of Data Science courses. He leads a research group focused on the mathematics of data science, with regular group meetings and seminars. Bandeira has developed comprehensive lecture notes including 'A Tour Through the Mathematics of Signals, Learning, and Networks' (2025) and 'Mathematics of Machine Learning' (2021), and previously authored 'Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science' (2015).

Oliver Diesselمشاهده پروفایل

دانشیار

• Reconfigurable Hardware
• Computer Architecture
• Digital Systems
• +۶ مورد دیگر

Associate Professor Oliver Diessel is a faculty member at the University of New South Wales (UNSW) within the School of Computer Science and Engineering. He has been actively teaching and conducting research at UNSW since at least 2000, with teaching experience spanning various computer architecture and digital systems courses. Dr. Diessel completed his education at the University of Newcastle, Australia, earning a B.E. (Computer, Hons) and B.Math. in 1991, followed by a PhD in 1998. His academic career has focused on reconfigurable computing systems and computer architecture. His primary research interests center around the design, test, and implementation of digital systems in reconfigurable logic devices called Field-Programmable Gate Arrays (FPGAs). Specifically, he focuses on dynamically reconfigurable digital systems where circuits can be modified while the system is operational. His work aims to develop architectures, design methods, and tools that enhance the benefits and reduce the costs of reconfigurable systems. Current research projects include fault-tolerant FPGA-based systems for space applications and fine-grained accelerators for heterogeneous devices. Dr. Diessel has published extensively with 2 books, 1 book chapter, 16 journal articles, 67 conference papers, 1 edited conference proceedings, and 7 conference presentations to his credit. His publications reflect a strong emphasis on reconfigurable technology, computer architecture, and electronic design automation. As a supervisor, Dr. Diessel currently mentors two MPhil students: Tong Wu working on Runtime reconfiguration and Junning Fan working on Fault-tolerance of FPGA-based applications. He has previously supervised six students to completion. His supervision interests include reconfigurable technology and systems, electronic design automation, and computer architecture. Dr. Diessel is an active member of the professional community, serving on the Editorial Board of ACM Transactions on Reconfigurable Technology and Systems and as an IEEE Member. He has taught numerous courses including Configurable Systems (COMP4601), Computer Architecture (COMP3211, COMP4211), Digital Systems (COMP3222), and FPGA Implementation of Digital Systems using Verilog.

• Systems and Network Security
• Applied Cryptography
• Cybersecurity
• +۹ مورد دیگر

Dr. Angelos D. Keromytis is the John H. Weitnauer, Jr. Endowed Chair Professor and Georgia Research Alliance (GRA) Eminent Scholar at the School of Electrical and Computer Engineering , Georgia Institute of Technology . He is a globally recognized leader in systems and network security and applied cryptography , with over 250 publications and 67 issued US patents. He is an elected Fellow of both the IEEE and ACM, and previously served as a Program Manager at DARPA and Program Director at NSF. Education: Ph.D. in Computer Science, University of Pennsylvania (2001) M.Sc. in Computer Science, University of Pennsylvania (1997) B.Sc. in Computer Science, University of Crete, Greece (1996) Research Interests: Dr. Keromytis's research spans a broad spectrum of cybersecurity topics, including: Systems and Network Security : He has led foundational work in secure systems design, intrusion detection, and network anomaly detection. Applied Cryptography : His work includes cryptographic protocols, secure communications, and privacy-preserving systems. Hardware and Side-Channel Security : He has pioneered techniques for detecting hardware Trojans using electromagnetic side-channels. Cloud and IoT Security : He has developed novel approaches to securing cloud services and IoT devices. Software Security : His work includes defenses against malware, return-oriented programming (ROP), and automated software patching. Scientific Awards: John H. Weitnauer, Jr. Endowed Chair Georgia Research Alliance (GRA) Eminent Scholar IEEE Fellow (2018) ACM Fellow (2017) ACM Distinguished Scientist (2012) DARPA Superior Public Service Medal DARPA Results Matter Award Advising and Grants: Dr. Keromytis has advised over 30 Ph.D. students and numerous postdocs. He has secured over $35M in research funding from agencies like DARPA, NSF, IARPA, ONR, and AFRL. His recent grants include: DARPA SMOKE : $22.7M for "Antikythera" cybersecurity framework NSF SaTC : $1.2M for mobile network anti-tracking architecture DARPA CHASE : $1.7M for network abuse behavioral engine DARPA OPS-5G : $7.3M for large-scale adversary defense ONR : $4.4M for dormant hardware Trojan detection Labs and Teams: He co-founded and co-directs the Center for Cyber Operations Enquiry and Unconventional Sensing (COEUS) at Georgia Tech. Previously, he founded and directed the Network Security Lab (NSL) at Columbia University, which produced foundational research in network security, intrusion detection, and software protection.

Kenneth S. Henryمشاهده پروفایل

دانشیار

• Auditory Neuroscience
• Cochlear Synaptopathy
• Neural Mechanisms of Hearing
• +۳ مورد دیگر

Dr. Kenneth S. Henry is an Associate Professor at the University of Rochester Medical Center (SMD) with joint appointments in the Departments of Otolaryngology, Biomedical Engineering, and Neuroscience. His research focuses on auditory neuroscience, cochlear synaptopathy, and neural mechanisms of hearing, using behavioral, neurophysiological, and histological approaches. Department of Otolaryngology Department of Biomedical Engineering Department of Neuroscience Research Interests: His lab investigates auditory nerve loss, hidden hearing loss, and neural bases of masked amplitude-modulation perception. Using avian and mammalian models, his work explores how cochlear neurodegeneration impacts behavioral and neural sensitivity to complex sounds in noise. Publications Trends: Recent research examines auditory nerve encoding, envelope processing in hearing loss, cochlear fluid dynamics, and neural mechanisms of speech-in-noise perception using avian models. Lab Members: Current researchers include graduate students Leslie Gonzales (Neuroscience) and Yingxuan Wang (Biomedical Engineering). Alumni include John Wilson (PhD student) and Steph Wong (ENT resident). Contact: Email kenneth_henry@urmc.rochester.edu or call (585) 275-4851 for collaboration/postdoc opportunities.

• Big Data
• Business Analytics
• Healthcare Analytics
• +۴ مورد دیگر

Haipeng Shen is a Professor of Innovation and Information Management at HKU Business School, The University of Hong Kong, serving as Associate Dean (EMBA and IMBA) and holding the Patrick S C Poon Professorship in Analytics and Innovation. He chairs the Business Analytics and Innovation program and joined HKU in 2015 after previously holding a professorship at the University of North Carolina at Chapel Hill. His academic credentials include: PhD in Statistics, The Wharton School of Business, University of Pennsylvania, 2003 MA in Statistics, The Wharton School of Business, University of Pennsylvania, 2000 BS in Mathematics, School of Mathematical Sciences, Peking University, 1998 Professor Shen's research focuses on data-driven decision making under uncertainty, with expertise spanning big data analytics, business analytics, healthcare analytics, and service engineering. He develops advanced statistical and machine learning methodologies to solve complex operational problems in call centers, optimize stroke care protocols, and enhance financial risk modeling, emphasizing real-time applications in high-stakes environments. Analysis of his recent publications reveals a consistent interdisciplinary approach bridging operations research, statistics, and domain-specific knowledge. His work demonstrates strong methodological innovation in time-series forecasting for service systems, risk assessment frameworks for medical complications, and covariance structure analysis for financial markets, with direct translational impact on business operations and clinical outcomes. His scientific contributions have been recognized with prestigious awards including: Most Influential Publication Award from China Stroke Association (2018) Fellow of the American Statistical Association (2015) Best Advisor of the Year Award from Academy of Asian Business (2018) Elected Member of International Statistical Institute (2015) Cluster Chair for Big Data Analytics at INFORMS International (2015) As an academic leader, Professor Shen has secured significant research funding from organizations including The Xerox Foundation and National Institute on Drug Abuse. He serves as Associate Editor for Management Science, Journal of the American Statistical Association, and Technometrics, while mentoring graduate students in statistical methodology and applied analytics. His current initiatives position HKU Business School at the forefront of healthcare innovation through big data analytics, driving collaborations with medical institutions to transform stroke care and hospital operations in Asia.

Halina Frydmanمشاهده پروفایل

استاد

• Survival Analysis
• Markov Processes
• Stochastic Modeling
• +۷ مورد دیگر

Halina Frydman is a Professor in the Department of Statistics and Operations Research at the Leonard N. Stern School of Business, New York University, where she has been a faculty member since 1978. Her academic work bridges statistical theory and real-world applications in finance and labor economics. Institution: New York University School: Leonard N. Stern School of Business Department: Department of Statistics and Operations Research Academic Rank: Professor Email: hf2@stern.nyu.edu Education: Ph.D. in Mathematical Statistics, Columbia University, 1978 M.A. in Mathematical Statistics, Columbia University, 1974 B.S. in Physics and Mathematics, Cooper Union, 1972 Research Interests: Professor Frydman specializes in survival analysis and Markov processes , with a strong focus on their applications in financial modeling and labor market dynamics . Her work explores mixture models of Markov chains to capture heterogeneity in longitudinal data, particularly in the context of corporate credit rating migrations and employment/unemployment transitions. She also contributes to methodological advances in stochastic modeling and statistical inference for time-to-event data. Publication Trends: Her recent research, reflected in reconstructed articles, demonstrates a consistent focus on developing and applying advanced statistical models—particularly survival models, Markov chains, and mixture models—to problems in finance and economics. There is a clear progression toward more complex, data-driven models incorporating Bayesian methods, high-dimensional estimation, and time-varying effects. Scientific Awards: No awards explicitly mentioned in the source text. Advising and Grants: While specific advisees and grant funding are not listed in the available text, Professor Frydman's long-standing research program and publications in premier journals such as the Journal of the American Statistical Association and The Journal of Finance suggest a significant scholarly impact and likely history of research sponsorship. She teaches core courses including Regression & Forecasting Models , Stochastic Processes I , and Stochastic Models in Finance , indicating active engagement in graduate education. Labs and Research Teams: No specific laboratories or research groups are mentioned in the provided content. However, her research aligns with interdisciplinary efforts in financial statistics and econometric modeling, potentially involving collaboration within NYU’s broader quantitative research community.

Peter Alvaroمشاهده پروفایل

استادیار

• Distributed Systems
• Databases
• Programming Languages
• +۷ مورد دیگر

Peter Alvaro is an Assistant Professor in the Department of Computer Science and Engineering at the Baskin School of Engineering, University of California, Santa Cruz. He joined the faculty in 2015 after earning his PhD from UC Berkeley under Professor Joe Hellerstein. His research lies at the intersection of databases, distributed systems, and programming languages , with a strong emphasis on data-centric approaches to building robust, scalable, and predictable distributed systems. He is the creator of the Dedalus language and co-creator of the Bloom language, both designed to simplify reasoning about distributed computation. Peter's recent work focuses on non-volatile memory (NVM) , computational storage , and data-centric operating systems , as seen in the Twizzler OS project. His publications span top venues such as USENIX ATC, HotNets, and Communications of the ACM, showing trends toward system resilience, efficient data management, and novel abstractions for modern hardware. Best Presentation award at USENIX ATC 2020 Peter advises graduate students, including Daniel Bittman, and is a key contributor to the Storage Systems Research Center (SSRC), now succeeded by the Center for Research in Storage Systems (CRSS). His work is supported by ongoing collaborations with researchers at UC Santa Cruz and beyond, particularly in the areas of storage, operating systems, and distributed computing.

Mor Armonyمشاهده پروفایل

استاد

• Operations Management
• Stochastic Modeling
• Service Operations
• +۷ مورد دیگر

Mor Armony is the Vice Dean for Faculty and Research, Harvey Golub Professor of Business Leadership, and Professor of Technology, Operations & Statistics at the Leonard N. Stern School of Business, New York University. She has been a key faculty member since 1999 and is a leading researcher in stochastic modeling and service operations. Ph.D. in Operations Research, Stanford University (1999) M.S. in Operations Research, Stanford University (1997) M.S. in Statistics, Hebrew University of Jerusalem (1996) B.S. in Mathematics and Statistics, Hebrew University of Jerusalem (1993) Her research focuses on large-scale service systems, particularly in healthcare and contact centers. She investigates patient flow in hospitals, optimization of customer experience, and control of stochastic processing systems using advanced queueing models and operations research techniques. Her work bridges theoretical rigor with practical applications in service operations management. The recent articles reflect a strong trend toward integrating behavioral aspects into operations models, such as customer impatience, strategic patient behavior, and the impact of online reviews on physician demand. Her research spans healthcare operations, call center optimization, and dynamic routing in heterogeneous systems, consistently published in top journals like Management Science , Operations Research , and Production and Operations Management . Scientific recognition includes being named the Harvey Golub Professor of Business Leadership, a distinguished title at NYU Stern. Harvey Golub Professor of Business Leadership She actively advises research projects and collaborates with scholars on topics including staffing, routing, and capacity management. Her work has been supported by ongoing academic engagement and publication, with recent projects addressing appointment scheduling with no-shows, strategic capacity withholding, and co-sourcing in call centers. She leads research in data-driven queueing science applied to hospital operations and is involved in empirical studies on digital health platforms. Her research group, the Operations Management Group at Stern, focuses on developing analytical models for complex service systems. She contributes to interdisciplinary efforts in healthcare operations and collaborates with medical researchers on improving critical care delivery and outpatient scheduling.

Baris Ataمشاهده پروفایل

استاد

• Operations Management
• Applied AI
• Dynamic Decision Making Under Uncertainty
• +۴ مورد دیگر

Baris Ata is the Sigmund E. Edelstone Distinguished Service Professor of Operations Management at the University of Chicago Booth School of Business. His work bridges theoretical operations management with practical applications, focusing on dynamic decision-making under uncertainty. Research Interests Ata’s research spans stochastic networks, manufacturing/service operations, healthcare delivery, and social sector innovation. Recent projects address high-dimensional stochastic control, xenotransplantation candidate selection, criminal justice logistics, and last-mile delivery challenges in Africa. Scientific Awards Best Paper in Service Science Award, INFORMS (2009) William Pierskalla Best Paper Award, INFORMS (2015) Wickham Skinner Best Paper Award, POMS (2019) Manufacturing and Service Operations Management Young Scholar Prize, INFORMS (2015) Emory Williams MBA Teaching Award (2021) Recent Publications Ata’s recent work includes topics in dynamic pricing, stochastic control, and healthcare logistics. His papers examine congestion-based pricing strategies, equilibrium analysis in queues, and policy design for organ transplantation. Broad disciplines include operations management, stochastic modeling, and healthcare analytics.

Virginia Doellgastمشاهده پروفایل

استاد

• Comparative Labor Relations
• Worker Voice
• Job Quality
• +۵ مورد دیگر

Virginia Doellgast is the Anne Evans Estabrook Professor of Employment Relations and Dispute Resolution at Cornell University's ILR School, specializing in comparative political economy of labor markets, union dynamics, and job quality in the digital economy. She serves as President of the Society for the Advancement of Socioeconomics (SASE) and Co-Editor of the ILR Review . Research Focus: Digitalization/AI’s impact on job quality, union strategies in telecommunication/call centers, labor market inequality, and workplace democracy. International Collaborations: Senior Research Fellow at Germany’s WSI-Hans Böckler Stiftung; visiting scholar at Freie Universität Berlin, University of New South Wales, and other European research institutes. Public Engagement: Interviewed by BBC, NPR, and featured in the New York Times , Der Spiegel , and Forbes . Article Trends: Recent publications analyze AI governance, algorithmic management, and union interventions in digitalized service sectors across the U.S., Germany, Norway, and France. Her work bridges institutional theory, labor policy, and comparative employment relations. Advising & Grants: Editorial roles at ILR Review and multiple journals. Funded by Fulbright, DAAD (Germany), ESRC (UK), SSHRC (Canada), and the Research Council of Norway.

• Labour Market Projections
• Cooperative Entrepreneurship
• Active Labour Market Policies
• +۲ مورد دیگر

Luc Sels has served as Rector of KU Leuven since August 1, 2017, and was re-elected for a second four-year term in May 2021. He is a full professor in the Faculty of Economics and Business (FEB), where he joined in 1996, became full professor in 2004, and served as Dean from 2008 to 2017. He concurrently holds an honorary professorship at Cardiff University and advisory roles at Friedrich-Alexander Universität Erlangen-Nürnberg, National University of Singapore, and Korea University. His research centers on labour market projections (employment, skill levels, regional forecasts), active labour market policies, and cooperative entrepreneurship. As Chairholder of the Randstand Chair on Employer Branding, VBO-FEB Chair on Belgian Business Champions, and CERA-Boerenbond Chair on Cooperative Entrepreneurship, he publishes in top journals including Journal of Management and Harvard Business Review. His work bridges academic research and policy impact through the Centre of Expertise in Labour Market Monitoring. Analysis of Sels' 2021-2025 publications reveals two dominant research streams: human resource management (particularly employer branding mechanics and line manager roles in training effectiveness) and cooperative enterprise dynamics (focusing on social capital in agri-food cooperatives). Methodological innovations in survival analysis for organizational research complement these themes, demonstrating interdisciplinary rigor across management, economics, and policy domains. Scientific Awards: No specific prizes, fellowships, or medals are mentioned in the source text. Sels actively supervises doctoral research, including S. Friedel's work on agri-food cooperative legitimacy, A. Billiet's study of member 'voice' mechanisms, K.G. Tamayo's analysis of line manager HRM involvement in Philippine call centers, and S. Ghielen's employer branding equity research. His current funded projects include Intercooperation (2024-2028) examining cross-cooperative legitimacy, Centre of Expertise for Labour Market Monitoring (2021-2025), and Relationships Matter (2019-2024) investigating social capital in agricultural cooperatives. He conducts research through KU Leuven's Department of Work and Organisation Studies and Leuven Economics of Education Research Centre (LEER), while directing the Centre of Expertise in Labour Market Monitoring for Flemish government policy advising. His cooperative entrepreneurship work operates through the CERA-Boerenbond Chair, integrating academic research with industry partnerships.

Gad Allonمشاهده پروفایل

استاد

• Operations Management
• Service Systems
• Gig Economy
• +۳ مورد دیگر

Gad Allon is the Jeffrey A. Keswin Professor and Professor of Operations, Information and Decisions at the University of Pennsylvania’s Wharton School. He directs the Management and Technology Program and teaches in the Education Entrepreneurship program. His research focuses on operations strategy, service systems, gig economy dynamics, and education technology. A co-founder of ForClass, a platform enhancing classroom engagement, he advises firms on service and operations strategy. Allon holds a Ph.D. from Columbia Business School and degrees from the Israeli Institute of Technology. Recognized as one of the ‘World’s Top 40 B-School professors under 40,’ he has pioneered work on behavioral drivers in service systems and gig economies. His recent research explores multihoming in gig work, machine learning in causal inference, and agile product development. Academic contributions span over 50 publications in top journals, emphasizing real-world applications of operations management theories. Education: Ph.D. in Management Science, Columbia Business School (New York) Bachelor’s and Master’s Degrees, Israeli Institute of Technology Research Interests: Professor Allon’s work bridges theoretical operations research with practical challenges in service systems, digital platforms, and educational technology. Key themes include optimizing customer service through behavioral insights, analyzing labor dynamics in gig economies, and leveraging machine learning for causal inference in business decisions. Notable Contributions: Co-founder of ForClass, addressing classroom engagement Leading studies on worker behavior in gig economies Groundbreaking work on call center retrials and service quality trade-offs Labs/Initiatives: Active in educational technology innovation through ForClass and advises on large-scale service marketplace design through Wharton’s Management and Technology Program.

Refik Soyerمشاهده پروفایل

استاد

• Bayesian Statistics
• Reliability Modeling
• Decision Analysis
• +۴ مورد دیگر

Refik Soyer is a Professor of Statistics at The George Washington University. His research focuses on Bayesian statistics, reliability modeling, decision analysis, and time series analysis. He has made significant contributions to the application of Bayesian methods in reliability engineering, queueing systems, and adversarial risk analysis. Education: D. Sc. in Statistics (1985), George Washington University His recent publications highlight advancements in Bayesian reliability analysis, adversarial decision frameworks, and computational methods for time series and queueing systems. Areas of emphasis include dynamic INAR processes, accelerated life testing, and software failure modeling. Soyer's work bridges theoretical statistics with practical applications in call centers, healthcare fraud detection, and risk management.

Joshua Breslauمشاهده پروفایل

استاد

• Epidemiology
• Mental Health and Illness
• Mental Health Treatment
• +۷ مورد دیگر

Joshua Breslau is a Senior Behavioral and Social Scientist at RAND and Professor of Policy Analysis at the RAND School of Public Policy. He holds a Ph.D. in anthropology from Harvard University and an Sc.D. in epidemiology from the Harvard T.H. Chan School of Public Health. With over two decades of experience, his work focuses on social and cultural influences on mental health, migration impacts, healthcare integration for serious mental illness, and policy effects on treatment disparities. Key research areas: Mental health, public health, epidemiology, health policy, substance use, military health systems Current projects: National evaluation of Certified Community Behavioral Health Centers, telehealth availability studies, 988 mental health hotline preparedness His research examines how social determinants affect health outcomes, with specific studies on Medicaid services, U.S. military healthcare, and integration of medical-social services. Recent publications analyze AI competency in suicide response, ACEs screening implementation, and post-pandemic mental health strategies. He has led NIH-funded projects on racial disparities and behavioral health care integration.

• Crisis Management
• Resilience
• Security Studies
• +۷ مورد دیگر

Guillaume DELATOUR is an Associate Professor in Risk and Crisis Management at Université de Technologie de Troyes (UTT), specializing in organizational resilience and security dynamics. He leads UTT's InSyTE laboratory's crisis/resilience/security research axis and coordinates the PRESAGES crisis simulation platform. His academic roles include directing the IMSGA Master's program in Global Security Engineering and co-developing executive certificates like DSRT (Ministry of Interior collaboration) and AMCSS (ENSP partnership). Research focuses on crisis cell coordination, community resilience post-disasters (e.g., Storm Alex studies), and temporal dynamics in crisis management. He has coordinated major projects including ANR-funded INPLIC (2018-2021) and regional initiatives on rural crisis preparedness. His educational contributions span crisis simulation pedagogy and integrating citizen participation in disaster response strategies. Published extensively in crisis management, his 2023 work on Storm Alex solidarity mechanisms and 2024 papers on crisis cell coordination exemplify his focus on real-world operational challenges. Advises PhD students Gaëtan Chevalier and Aymée Nakasato, exploring crisis simulation frameworks and collective risk behaviors. Education: PhD (2011-2015) on decision-making in high-risk environments, Research Engineer at UTT (2015-2017), UN research stint (2010). Grants: ANR, IHEMI/FIESP, regional funding for RPM project (2015-2016). Labs/Teams: InSyTE Lab, Chaire Gestion des Crises, Chaire Sécurité Globale.