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Eric T. Anderson is the Polk Bros. Chair in Retailing and Professor of Marketing at Northwestern University's Kellogg School of Management. He serves as Chair of the Marketing Department and Director of the Kellogg-McCormick MBAi Program. Anderson holds a Ph.D. from MIT Sloan School of Management and has held academic positions at the University of Chicago and University of Rochester. His research focuses on pricing strategies, retail analytics, AI/ML applications, customer loyalty, and channel management. He teaches courses in pricing, retail analytics, and marketing strategy at Kellogg. Education: PhD in Management Science, MIT Sloan School of Management (1995) MS in Engineering-Economic Systems, Stanford University (1989) BS in Electrical Engineering, Northwestern University (1988) Research Interests: Anderson's work bridges quantitative and behavioral marketing. He explores pricing dynamics, retail innovation, and the impact of digital tools on consumer decisions. His recent studies analyze alternative data for credit scoring, backorder effects, and AI-driven analytics. His research has appeared in top journals like Management Science and Marketing Science . Teaching & Recognition: A four-time winner of the Sydney Levy Award for teaching excellence, Anderson is known for courses like Pricing and Retail Analytics. He advises Canadian Tire and LiftLab, and serves on editorial boards for Management Science and Journal of Marketing Research . His work often collaborates with industry, yielding practical insights for firms like FTD and NASCAR. Grants & Labs: Leads the Center for Global Marketing Practice at Kellogg. His research has been funded by the Marketing Science Institute and industry partnerships. Active in doctoral training, Anderson coordinates the Marketing Ph.D. program and mentors emerging scholars.

• Pricing Strategy
• Retail Analytics
• Customer Loyalty
• +5 more

Dr. Michael S. Matthews is a Professor and Interim Department Chair in the Department of Special Education and Child Development at the University of North Carolina at Charlotte (UNC Charlotte). He also serves as Director of the Academically/Intellectually Gifted M.Ed. Program. His primary roles include teaching, research, and leadership in gifted education policy, program development, and equity initiatives. He is co-editor of the Gifted Child Quarterly and a board member of the National Association for Gifted Children. Education: Ph.D. in Educational Psychology (Gifted & Creative Education), University of Georgia (2002) M.A. in Anthropology (Archaeology), University of Wisconsin (1991) B.A. in Chemistry, magna cum laude, University of Tennessee at Chattanooga (1989) Research focuses on: Gifted education policy and equity Assessment and identification of advanced learners Parental influence on gifted children Underachievement prevention Science education for gifted learners Homeschooling dynamics Publications highlight methodological rigor, transparency in research, and addressing disparities in gifted program access. He advocates for open science practices and has led initiatives to improve identification rates for underrepresented groups. His work bridges academia and policy, emphasizing real-world applications for diverse learners. Awards include the NAGC Early Scholar Award (2014), AERA Pyryt Collaboration Award (2017), and the Texas AGT Legacy Book Award (2019). He has advised numerous graduate students and contributed to national education reforms through board memberships and advisory roles.

• Gifted Education Policy
• Diversity in Gifted Education
• Assessment and Identification of Advanced Abilities
• +4 more

Jean Walrand is a Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. His research focuses on communication networks, performance evaluation, game theory, and stochastic networks. He has authored several influential books, including Communication Networks: A Concise Introduction and Probability in Electrical Engineering and Computer Science , and holds numerous patents in network resource management. Ph.D. in EECS from UC Berkeley IEEE Fellow and recipient of the Stephen O. Rice Prize INFORMS Lanchester Prize for operations research contributions His research interests span communication networks, queueing theory, congestion control, wireless network scheduling, and economic models for network resource allocation. Walrand's work has significantly impacted network design and optimization, particularly in distributed algorithms and game-theoretic approaches. His recent publications emphasize network architecture, delay variability reduction, and distributed optimization algorithms. Walrand has mentored over 20 Ph.D. students, including notable contributors to wireless networks and network economics. IEEE Koji Kobayashi Award (2012) ACM Sigmetrics Achievement Award (2013) INFORMS Lanchester Prize for Communication Networks book As advisor to students like Libin Jiang and Hoi-Sheung Wilson So, Walrand has shaped research in wireless MAC protocols, bandwidth trading, and network security. His technical reports and patents address practical challenges in switch fabric design, bandwidth allocation, and power management.

• Communication Networks
• Network Congestion Control
• Game Theory
• +5 more

Lori Sisk is an Associate Professor of Teaching in Global Supply Chain Management at the Mike Ilitch School of Business, Wayne State University. She brings over 28 years of industry and consulting experience in supply management to her academic role, where she teaches strategic procurement, operations, and supply chain courses. She also serves as Program Coordinator for the WSU/AIAG Supply Chain Certificate Program, Advisor to student organizations, and member of multiple academic and industry committees. Education: MBA, Bowling Green State University BSBA, Bowling Green State University (Major: Procurement) CPSM, Institute of Supply Management Six Sigma Green Belt Certified, Delphi Corporation Lori's teaching and research focus on applied, experiential learning in supply chain and procurement. Her courses emphasize solving real-world business problems, and she integrates industry challenges into classroom learning. Her research interests include applied decision-making tools for supply chain executives, strategic sourcing, risk management, and lean operations. She is passionate about preparing students for careers in supply chain through hands-on education and mentorship. Her publications reflect a practitioner-oriented approach, covering topics such as crisis recovery, strategic sourcing, and total cost of ownership. The articles show a consistent focus on operational resilience, cost optimization, and strategic procurement across manufacturing and global supply chains. Scientific Awards: Inspirational Teacher of the Year Award, Wayne State University (2019) Service Award, Wayne State University Mike Ilitch School of Business (2020) Teacher of the Year Award, Denver Transportation Club (2018) Leadership District Person of the Year, ISM Public Relations District Person of the Year, ISM Troy Volunteer of the Year Award (nominated, 2020) Lori is deeply involved in academic and industry service. She advises student organizations including the Global Supply Chain Management Association (GSCMA) and Warrior Consulting Group (WCG). She co-leads the Supply Chain Advisory Council and is a member of the AIAG SC Steering Committee. She has delivered over 200 training sessions for professionals at global automotive OEMs and aerospace firms and has presented at international conferences including ISM, APICS, and PMAC. She has also developed and delivered curriculum for the AIAG/WSU Automotive Supply Chain Certificate Program since 2013. Lori leads initiatives that bridge academia and industry, particularly through the WSU/AIAG partnership. She has designed and facilitated workshops for suppliers and corporate teams on JIT, cost reduction, and risk management. Her work enhances workforce development and strengthens industry-academic collaboration in supply chain education.

• Supply Chain Management
• Strategic Procurement
• Lean Six Sigma
• +7 more

George M. Cohen is a Professor of Law at the University of Virginia School of Law, where he joined the faculty in 1993 as an associate professor and was promoted to full professor in 1995. He serves as a prominent scholar in legal ethics, contract law, and law and economics, teaching courses in contracts, professional responsibility, agency and partnership, and previously teaching antitrust and law and economics. Cohen earned his undergraduate degree summa cum laude and Phi Beta Kappa from Yale University. He went on to earn his J.D. in 1986 and a Ph.D. in economics in 1992, both from the University of Pennsylvania. During law school, he served as articles editor of the University of Pennsylvania Law Review. Prior to joining UVA, Cohen clerked for Judge Walter K. Stapleton of the U.S. Court of Appeals for the Third Circuit and taught at the University of Pittsburgh School of Law starting in 1988. Professor Cohen's research spans several interconnected areas of legal scholarship with a particular focus on the intersection of law, economics, and professional ethics. His work examines contract law through economic analysis, explores ethical dilemmas in legal practice, and investigates the theoretical foundations of agency and partnership law. He has made significant contributions to understanding how fault concepts shape contract law, the ethical responsibilities of lawyers in corporate settings, and the application of economic principles to traditional legal doctrines. His scholarship often bridges theoretical frameworks with practical applications in legal practice. Analysis of Cohen's recent publications reveals a consistent scholarly trajectory focusing on the evolving landscape of legal ethics in contemporary practice, particularly examining how traditional ethical frameworks respond to modern challenges like political interference in legal practice and the aftermath of financial crises. His work demonstrates a sophisticated integration of economic analysis with doctrinal legal scholarship, maintaining relevance across both theoretical and practical dimensions of law. Cohen has held significant leadership roles within the academic community, serving as chair of the UVA Faculty Senate from 2012-13. He has also contributed extensively to legal discourse through his role as an ethics consultant and expert for several law firms, demonstrating the practical impact of his scholarly work. His scholarship has appeared in prestigious law reviews including the Virginia Law Review, Fordham Law Review, and Michigan Law Review. Professor Cohen maintains an active scholarly presence with recent publications addressing contemporary legal challenges, including his 2024 analysis of Rudy Giuliani's disciplinary proceedings related to the 2020 election. His work continues to shape discussions on professional responsibility and the application of legal ethics in politically charged environments.

• Contract Law
• Professional Responsibility
• Agency and Partnership
• +4 more

Karthik Dantu is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York, within the School of Engineering and Applied Sciences. His research focuses on mobile sensor networks, robot networks, networked embedded systems, mobile computing, wireless networks, and embedded operating systems. He leads the Distributed Robotics and Networked Embedded Sensing (DRONES) Lab and has received significant funding including an NSF CAREER Award. Dr. Dantu's educational background includes: PhD in Computer Science from University of Southern California (2009) BE in Computer Science from Sri Jayachamarajendra College of Engineering (1999) His research interests center on algorithmic and systems challenges in Edge Computing Systems, with particular focus on enabling seamless vision sensing in cloud-edge environments. Dantu's work bridges mobile systems and robotics, developing novel approaches for UAV software, visual SLAM, and distributed sensing. His research addresses critical challenges in resource-constrained environments, security, and real-time performance for mobile and robotic systems, with emphasis on practical implementations that solve real-world problems in autonomous systems. Dr. Dantu's publication record shows a strong trajectory in mobile systems and robotics research, with increasing focus on edge computing applications for visual sensing. His recent work demonstrates expertise in adapting visual SLAM to edge environments, securing mobile systems through technologies like Rushmore, and developing novel approaches for UAV software reliability and depth sensing. The research spans theoretical algorithms and practical system implementations, with particular strength in bringing academic research to practical applications in robotics and mobile computing. Dr. Dantu has received several scientific honors: NSF CAREER Award on Enabling Seamless Vision Sensing in Cloud-Edge Systems Outstanding service award from the Office of International Services NSF Travel Grant for SenSys 2005 Conference Travel Grant for SIGCOMM 2002 As an advisor, Dr. Dantu has mentored numerous PhD students to completion, with graduates now working at companies like Samsung Research and Zoox Inc., or continuing academic careers as Assistant Professors. His research is supported by substantial grants including a DARPA OFFSET Sprint 4 award ($470k), an NSF CAREER award ($550k), and multiple NSF collaborative grants totaling over $1.5 million. He serves on numerous conference committees including Mobicom, MobiSys, and ICRA, demonstrating leadership in the mobile systems and robotics research communities. Dr. Dantu leads the Distributed Robotics and Networked Embedded Sensing (DRONES) Lab at UB, which focuses on developing algorithms and systems for mobile sensor networks, robot networks, and embedded sensing applications. The lab's work spans theoretical foundations to practical implementations, with particular expertise in UAV systems, visual SLAM, and edge computing for robotics, maintaining strong collaborations with industry partners and other academic institutions to advance the state of the art in mobile and robotic systems.

• Mobile Sensor Networks
• Robot Networks
• Networked Embedded Systems
• +8 more

Brenton Faber is a Humanities & Arts Professor affiliated with the Department of Biomedical Engineering at Worcester Polytechnic Institute (WPI) . He holds a B.A. in Political Science & English from the University of Waterloo (1992), an M.A. in English from Simon Fraser University (1993), and a Ph.D. in English from the University of Utah (1998). His research focuses on healthcare delivery for uninsured populations, medical writing, and the application of allostasis theory to healthcare systems. He volunteers as a practicing paramedic with rural ambulance squads and urban clinics. Education: B.A. (University of Waterloo), M.A. (Simon Fraser), Ph.D. (University of Utah) Faber’s lab investigates human factors in medical diagnosis and patient care, emphasizing pre-hospital care and clinical report analysis. His work integrates allostasis concepts to address chronic health conditions and patient decision-making. Current projects include a free urban clinic’s electronic database initiative and a 'food is medicine' program targeting hypertension/diabetes patients. He advises an undergraduate research team and co-founded the 'Medical Mystery' series in WPI’s student newspaper. His recent publications span healthcare logistics, emergency medicine, and discourse analysis. Notable works include The End of Genre (2022) and studies on community paramedicine optimization (2023). While no formal awards are listed, his contributions to medical communication and patient advocacy are central to his scholarly identity. Advising focuses on interdisciplinary teams addressing public health challenges. Collaborative grants are not explicitly mentioned, but his work with free clinics and paramedic squads highlights community-oriented engagement. His lab’s activities emphasize translational research bridging humanities and biomedical engineering disciplines.

• Healthcare Delivery Systems
• Medical Communication
• Pre-Hospital Care
• +3 more

Eli Bartov is a Professor of Accounting at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 1992. He holds a Ph.D. in Accounting from the University of California, Berkeley, and a B.A. in Accounting and Economics from Tel Aviv University, along with a CPA designation. Ph.D., Accounting, University of California, Berkeley, 1989 B.A., Accounting and Economics, Tel Aviv University, 1977 CPA, 1979 His research focuses on financial reporting, executive compensation, forensic accounting, earnings management, equity valuation, and the role of social media in capital markets. He has published extensively in top-tier journals, exploring topics such as the predictive power of Twitter on earnings, post-earnings announcement drift, and the economic implications of executive stock options. His work bridges theoretical and empirical perspectives in accounting and finance. His recent publications show a strong trend in leveraging alternative data sources like social media to understand investor behavior and market efficiency, while maintaining a deep engagement with core accounting issues such as disclosure quality, fraud detection, and valuation. His interdisciplinary approach combines accounting, finance, and information systems. AAA/AICPA Notable Contributions to Accounting Literature Award (2022) Stern's Executive MBA Great Professor Award (2014–2019) Stern's Executive MBA Excellence in Teaching Award (2010) Professor Bartov has served as the coordinator of the Accounting Ph.D. Program (2001–2010) and teaches courses at the MBA, EMBA, and Ph.D. levels, including financial statement analysis and empirical research in financial accounting. He has advised doctoral students and contributed to academic leadership. He has also been an expert witness in high-profile legal cases, including the New York civil fraud trial against Donald Trump, where he testified on accounting standards and the absence of fraud. His research has practical implications for regulatory bodies (SEC, FASB, PCAOB) and corporate governance. He has collaborated with researchers across institutions and has contributed to both academic literature and public discourse on accounting integrity and market efficiency.

• Financial Reporting
• Executive Compensation
• Social Media in Capital Markets
• +10 more

Tommaso Denti is an Assistant Professor of Economics at the Leonard N. Stern School of Business, New York University, joining in 2023. Prior to NYU, he held academic positions at Cornell University as an Assistant Professor and was a Postdoctoral Research Associate at Princeton University, reflecting a strong academic trajectory in economic theory. His educational background includes a PhD in Economics from the Massachusetts Institute of Technology, and both an MSc and BA in Economics and Social Sciences from Bocconi University. Tommaso Denti's research focuses on information economics and decision-making under uncertainty . His work explores how agents acquire, process, and use information in complex environments, particularly motivated by challenges in the digital economy. Key areas include rational inattention models in strategic settings, with applications to labor market discrimination, online advertising, and communication. His theoretical research intersects decision theory, game theory, and microeconomic theory. His recent work trends toward formal modeling of information acquisition and strategic behavior, suggesting deep engagement with theoretical and behavioral aspects of economics. Though no specific publications are listed, the described research directions indicate contributions to foundational economic theory with real-world implications in digital markets and organizational communication. PhD, Economics – Massachusetts Institute of Technology MSc, Economics and Social Sciences – Bocconi University BA, Economics and Social Sciences – Bocconi University Tommaso Denti has built his academic career across top-tier institutions, including Princeton, Cornell, and NYU. His research is supported by his postdoctoral and faculty appointments, suggesting active grant or institutional funding, though specific grants are not mentioned. He has not listed any advisees in the provided material, but as a junior faculty member, he is likely beginning to supervise students. His interdisciplinary expertise spans economics, decision science, and information systems. He is affiliated with the Department of Economics at NYU Stern, which emphasizes theoretical and applied research in microeconomic theory, game theory, and information economics—aligning closely with his research profile. No specific labs or research teams are mentioned, but his work likely involves collaboration within the economics and operations research groups at Stern and beyond.

• Information Economics
• Decision Theory
• Game Theory
• +6 more

Chris Volinsky is a Clinical Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, joining in September 2023. His work bridges industry-scale data science and academic research, focusing on practical applications of machine learning and statistical modeling in business contexts. Education: PhD in Statistics, University of Washington BA in Statistics and Mathematics, University of Buffalo His research interests lie at the intersection of data science and business operations, with a focus on recommender systems , personalization , social network analysis , and mitigating bias in machine learning models . He also emphasizes data visualization and the ethical implications of data usage, particularly in balancing innovation with privacy concerns and regulatory compliance. While no specific publications are listed in the provided text, his career has been defined by high-impact, real-world applications of data science, particularly in telecommunications and entertainment industries. Scientific Awards: $1M Netflix Prize (2009) as member of BellKor's Pragmatic Chaos team Volinsky has extensive experience in advising and leading data science teams. He led a team of 40 data scientists at AT&T, where he oversaw projects with significant business impact, including fraud detection, customer complaint prediction, and computer vision applications. Although formal student advising is not detailed, his leadership roles imply substantial mentorship and team development. He has not disclosed specific grants, but his work at AT&T and NYU suggests engagement with large-scale, industry-funded research initiatives. He was instrumental in pioneering work on large-scale recommender systems and continues to contribute to the evolution of data-driven decision-making in enterprise settings.

• Data Science
• Machine Learning
• Recommender Systems
• +12 more

Michael J. Spivey is a Professor of Cognitive Science at the University of California, Merced, affiliated with the School of Social Sciences, Humanities and Arts. His research focuses on understanding human cognition through embodied and dynamic systems approaches, with particular expertise in eye-tracking methodologies and real-time language processing. As a faculty member in the Cognitive and Information Sciences department, he contributes to interdisciplinary research that bridges psychology, linguistics, and neuroscience. Dr. Spivey's educational background includes: Ph.D. in Brain and Cognitive Sciences from the University of Rochester (1996) M.A. in Brain and Cognitive Sciences from the University of Rochester (1995) B.A. from the University of California, Santa Cruz (1991) His research interests span psycholinguistics, visual perception, sensorimotor processing, embodied cognition, and dynamical systems theory. Dr. Spivey investigates how cognitive processes unfold in real-time through eye movements and other behavioral measures, challenging traditional modular views of cognition. His work emphasizes the continuous interaction between perception, action, and cognition, demonstrating how language processing is deeply embedded in our sensorimotor experiences. He has made significant contributions to understanding the time course of language comprehension, the role of visual context in linguistic processing, and the dynamic nature of cognitive representations. Analysis of Dr. Spivey's recent publications reveals a strong focus on embodied and dynamic approaches to cognition. His work spans diverse areas including eye-tracking and mouse-tracking methodologies, team cognition, creativity research, bilingual language processing, and the application of foraging theory to cognitive processes. A recurring theme across these publications is the investigation of real-time cognitive dynamics using continuous behavioral measures. His research increasingly incorporates ecological approaches, examining cognition in more naturalistic contexts while maintaining experimental rigor. The interdisciplinary nature of his work is evident in collaborations across psychology, linguistics, neuroscience, and even music cognition. Dr. Spivey is affiliated with the Center for Human Adaptive Systems and Environments and collaborates with researchers at Western University, Northwestern University, Brown University, and UCLA. His work with students likely focuses on training in advanced methodologies for measuring real-time cognitive processes.

• Psycholinguistics
• Visual Perception
• Sensorimotor Processing
• +5 more

Christine Cheng serves as Assistant Professor of Accountancy at the University of Mississippi's Patterson School of Accountancy, specializing in Tax and Data Analytics. She previously held a visiting scholar position at the Securities and Exchange Commission Division of Economic and Risk Analysis (2020-2022) and currently contributes to the Financial Accounting Standards Board Taxonomy Advisory Group. Her academic credentials include: Ph.D. in Business Administration from Pennsylvania State University (2011) M.B.A. in Business Administration from Pennsylvania State University Harrisburg (2003) Dr. Cheng's research examines machine-readable financial reporting determinants, tax-influenced decision making, and the intersection of tax analytics with corporate strategy. Her work bridges theoretical accounting frameworks with practical data science applications, particularly in post-Wayfair e-commerce taxation and marriage tax policy analysis. She employs advanced tools like Alteryx and robotic process automation to model complex tax scenarios. Publication trends reveal a strategic shift toward data-driven tax education and regulatory compliance, with 60% of recent work integrating analytics into financial reporting. Her articles frequently address real-world policy impacts, such as same-sex marriage tax implications and hail damage fraud detection, demonstrating applied relevance to both academic and practitioner audiences. Major recognitions include: 2023 Public Interest Section Best Paper Award (American Taxation Association) 2023 Graduate Teacher Award (American Accounting Association) Three ATA/Deloitte Teaching Innovation Awards (2019-2022) 2019 Best Article Award from The Tax Adviser As an educator, she pioneered Ole Miss's Master's of Taxation and Data Analytics program and maintains a YouTube channel with 200+ instructional videos. Her advising includes master's student Taylor, J. (lead author on a 2015 publication), and she has secured multiple curriculum development grants through Deloitte partnerships. Current projects focus on SEC disclosure analytics and blockchain-based tax compliance systems.

• Taxation
• Data Analytics
• Financial Reporting
• +1 more

Ayesha Bell Hardaway is a Professor of Law at Case Western Reserve University School of Law, where she also serves as Director of the Social Justice Law Center and Director of the Social Justice Institute. Her work focuses on criminal law, policing, and the intersection of race and the law, including legal remedies for police misconduct through federal intervention and community oversight. She has been featured in media outlets such as CNN, USA Today, and the New York Times for her expertise on civil rights and police reform. Education: Juris Doctor (Case Western Reserve University, 2004), Bachelor of Arts (The College of Wooster, 1997) Her research examines structural issues in policing, including how police associations and collective bargaining rights can perpetuate systemic racism and impede reform efforts. She also investigates reparations, the 13th Amendment, and the socio-economic conditions that enable police abuses. Her scholarship bridges labor law, constitutional law, and social justice advocacy. Analysis of her publications highlights a focus on criminal justice reform, police accountability, and racial equity. Her work often addresses the historical roots of police unions, legal mechanisms for oversight, and the tensions between collective bargaining rights and police reform. She contributes to academic discourse through interdisciplinary lenses, integrating critical race theory and public policy analysis. As Director of the Criminal Clinic, she supervises law students in handling misdemeanor cases, emphasizing client-centered pedagogy. Her leadership roles at the Social Justice Law Center and Social Justice Institute facilitate research, community dialogue, and curricular innovation on pressing social justice issues.

• Criminal Law
• Policing
• Race and the Law
• +11 more

Erhan Bayraktar is a Professor of Mathematics at the University of Michigan, holding the Susan Smith Chair. He serves as Director of the Quantitative Finance and Risk Management Masters Program, which he established in 2015. His academic career at the University of Michigan spans since 2004, progressing from T. H. Hildebrandt Research Assistant Professor to his current full professorship. Professor Bayraktar earned his Ph.D. from Princeton University in 2004, following dual Bachelor's degrees in Electrical Engineering and Mathematics from Middle East Technical University in Turkey. His academic journey reflects a strong foundation in both theoretical and applied mathematical disciplines. Bayraktar's research focuses on mathematical finance, applied probability, machine learning, mean field games, stochastic analysis, stochastic control, and optimal stopping. His work bridges theoretical mathematics with practical applications in finance and risk management. He has developed sophisticated mathematical frameworks for analyzing complex financial systems, market behaviors, and optimal decision-making under uncertainty. His contributions to mean field games have provided new insights into large-scale interacting systems, while his work on stochastic control has advanced methodologies for optimal decision processes. His publication record demonstrates a consistent trajectory of high-impact research, with recent work focusing on Wasserstein space analysis, graphon particle systems, and applications of machine learning to financial mathematics. His research shows increasing interdisciplinary connections between traditional mathematical finance and modern computational approaches. Susan M. Smith Professorship (2010-present) National Science Foundation CAREER Grant (2010-2016) SIAM Activity Group on Financial Mathematics and Engineering Early Career Prize (2010) Professor Bayraktar has mentored 14 Ph.D. students (13 graduated) and approximately 40 post-doctoral researchers. His students hold prestigious positions in academia and industry, including tenure-track positions at Boston University, University of Colorado, University of Sydney, and University of Toronto. He has secured continuous funding from the National Science Foundation, including the current grant DMS-2507940 (2025-2028) and previous grants totaling over 15 years of continuous NSF support. As Director of the Quantitative Finance and Risk Management Masters Program, Bayraktar has built a robust academic community through the Financial/Actuarial Math seminar series, which hosts about 10 outside speakers annually, and by organizing international workshops in stochastic analysis for finance and insurance in Ann Arbor.

• Mathematical finance
• applied probability
• machine learning
• +4 more

Ross Koppel is an Adjunct Professor of Sociology with expertise in healthcare information technology, medication errors, and ethics in social research. His work explores the intersection of technology and societal impacts, focusing on data governance, clinical workflows, and human factors in health IT systems. Research Interests Context-sensitive understanding of medication errors Societal implications of clinical data sharing Ethical challenges in AI and informatics Healthcare cost analysis Scientific Awards Fellow of the American College of Medical Informatics (FACMI)

• Healthcare Information Technology
• Medication Errors
• Technology in Society
• +2 more