جست‌وجوی استاد و پژوهشگر

• Ethnic-Racial Identity Development
• Educational Psychology
• Developmental Psychology
• +۳ مورد دیگر

Kristia Wantchekon is an Assistant Professor in the Department of Psychology at Georgetown University's College. She holds a Ph.D. from Harvard University and a B.A. from Yale University. Her research focuses on ethnic-racial identity development, particularly among adolescents, and its intersection with academic adjustment, discrimination experiences, and intergroup contact. She explores how identity processes and contextual factors influence youth mental health and educational outcomes, with a special emphasis on designing school-based interventions to foster inclusive environments. Her work analyzes how teachers and educators navigate race-related conversations, curriculum design, and professional development to address systemic inequities. Recent studies investigate Colombian adolescents' academic adjustment through an ethnic-racial lens and contextual moderators of identity interventions, including family socialization and ethnic background. Key themes in her publications include the role of ethnic-racial identity in mitigating discrimination impacts, the psychometric validation of identity measures for marginalized groups, and the moderating effects of identity centrality on intervention efficacy. Her research consistently bridges developmental, social, and educational psychology to promote equity in academic settings. No scientific awards or grant details are listed in the provided materials. She has not yet disclosed advising relationships or lab affiliations.

Leia Stirlingمشاهده پروفایل

دانشیار

• Robotics
• Biomechanics
• Human Factors
• +۵ مورد دیگر

Leia Stirling is an Associate Professor in Robotics and Industrial Operations Engineering at the University of Michigan, serving as Associate Chair of Undergraduate Studies in Robotics. She is Core Faculty at the Center for Ergonomics and Affiliate Faculty at the Space Institute. Her research focuses on human-system interactions in robotics, biomechanics, and decision support systems. Key areas include wearable motion sensing for decision-making, co-adaptive exoskeleton algorithms, and space mission operations tools. Her group blends human factors, biomechanics, and robotics to design technology that enhances human performance in complex tasks. She leads the Stirling Group, which develops metrics for injury risk assessment, exoskeleton usability, and space crew readiness evaluation. Her lab’s work has applications in industrial safety, healthcare rehabilitation, and astronaut training. Research Thrusts: Wearable Motion Sensing: Creates metrics for musculoskeletal injury risk, balance rehabilitation, and quantitative assessment of agility/coordination. Exoskeleton Usability: Develops co-adaptive control algorithms and studies trust dynamics between users and wearable robots. Space Operations: Designs tools for astronaut readiness, human-aware robotics, and extravehicular activity planning. Recent work includes studies on neonatal ventilation systems, space inspection trajectory optimization, and augmented reality for sensorimotor assessments. She teaches robotics courses including ROB 204: Introduction to Human-Robot Systems. Her work has been featured at IROS 2023 and NASA-related initiatives. Lab Website: stirlinglab.org

Cornelia Richterمشاهده پروفایل

استاد

• Systematic Theology
• Hermeneutics
• Philosophy of Religion
• +۳ مورد دیگر

Prof. Cornelia Richter is a Professor of Systematic Theology and Hermeneutics at the Protestant Theological Faculty of the University of Bonn since 2012. She serves as Chair of the Senate of the University of Bonn since 2024 and has held leadership roles such as Dean of the Faculty of Protestant Theology (2020–2024). Born in 1970, she earned her doctorate (summa cum laude) from the University of Marburg in 2002 and habilitation in 2010. Her research focuses on Philosophy of Religion, Hermeneutics, and Resilience in Religion and Spirituality, notably leading the DFG-funded project FOR 2686. She has held visiting professorships in Zurich and Giessen and contributed to theology through editorial roles in journals like International Journal of Philosophy and Theology . Her work bridges theology with interdisciplinary studies, addressing modern challenges like pandemic resilience and interfaith dialogue. Education: PhD (2002), Habilitation (2010) – University of Marburg Studies in Protestant Theology and Philosophy – Universities of Vienna and Munich Research Fellowship – Center for Subjectivity Research, Copenhagen (2003–2005) Research Interests: Her work explores hermeneutical approaches to religious meaning, resilience in crises, and the interplay between theology and modern challenges. Key areas include: - Critical analysis of resilience frameworks in theology and philosophy - Theological engagement with modern existential issues (e.g., hope, fear, powerlessness) - Interdisciplinary dialogue on religion’s role in human sciences. - Resilience studies in healthcare and pandemic contexts. Grants & Projects: DFG-FOR 2686 “Resilience in Religion and Spirituality” (2019–2022) Editorial leadership in multiple theological journals and book series Co-director of the Bonn Institute of Hermeneutics Labs/Teams: Department of Systematic Theology, University of Bonn; interdisciplinary research groups on resilience and theology.

• Generative AI
• Information Theory
• Machine Learning
• +۴ مورد دیگر

Alexandros G. Dimakis is a Professor at the University of California, Berkeley's Department of Electrical Engineering and Computer Sciences (EECS), College of Engineering. He is also Co-Director of the National AI Institute for Foundations of Machine Learning and Co-Founder of BespokeLabs.ai. PhD (2008) and Diploma (2003) in Electrical Engineering His research focuses on Generative AI , Information Theory , and Machine Learning . Recent work includes advancements in diffusion models, compressed sensing, and causal inference. His publications (150+) emphasize inverse problems, neural network verification, and generative model optimization. Recent publications highlight trends in Diffusion Models for inverse problems, Language Model Scaling , and 3D-Aware Generative Systems . Collaborative projects span biomedical applications, large-scale dataset curation (Datacomp-LM), and parameter-efficient model fine-tuning. Scientific Awards : IEEE Fellow (2022) James Massey Award (2018) NSF CAREER Award (2011) Google Research Faculty Award Best Paper awards at UAI workshops Eli Jury Dissertation Award (UC Berkeley) He advises PhD students in generative modeling, compressed sensing, and information theory. His research group collaborates with institutions like MIT, NYU, and IBM Research. Former students hold positions at Google, Amazon, and academic institutions like Purdue University.

• Machine Learning
• Artificial Intelligence
• Computer Science
• +۵ مورد دیگر

Gordon Geoffrey J. is a Professor at Carnegie Mellon University, specializing in Machine Learning , Artificial Intelligence , and Computer Science . His research spans Reinforcement Learning , Domain Adaptation , Graph-based Planning , and Relational Learning , with significant contributions to Adversarial Learning , Deep Learning Dynamics , and Mobile Sensor Networks . He has pioneered algorithms like ARA* and Anytime Dynamic A* for efficient planning under constraints. Key research areas: Transfer Learning , Bayesian Knowledge Tracing , Multi-agent Systems , Database Optimization His work has been cited thousands of times across foundational topics in AI and robotics, demonstrating sustained impact in algorithm design and applications to complex systems.

• Jewish History
• Early Modern History
• Modern Jewish History
• +۶ مورد دیگر

Bart Wallet is Professor of Jewish Studies specializing in Early Modern and Modern Jewish History at the University of Amsterdam's Faculty of Humanities, where he is affiliated with the Department of Semitic Languages and Cultures. His academic work focuses on the intricate relationship between Jewish communities and Dutch society throughout history, with particular emphasis on the connections between the Dutch Royal House and Jewish communities. Wallet's research interests span Dutch Jewish history from the early modern period to the contemporary era, with special attention to Yiddish studies, religious history, cultural integration, and the development of Jewish identity in the Netherlands. His scholarly output reveals a consistent focus on how Jewish communities navigated their position as a religious minority within Dutch society, particularly examining the complex dynamics between Jewish citizens and the Dutch state and monarchy. His work often explores the tension between religious tradition and modernization, and how Jewish communities maintained their identity while integrating into broader Dutch society. Analysis of his recent publications shows a strong thematic concentration on Orange-Jewish relations throughout Dutch history, Jewish military service, religious education, and the material culture of Jewish communities. His scholarship demonstrates a methodological approach that combines cultural history with religious studies, often revealing how seemingly mundane aspects of daily life reflect broader societal patterns of integration and identity formation. The geographic focus remains predominantly on the Netherlands, though with comparative perspectives on Jewish communities in other European contexts. Professor Wallet has been active in public scholarship through media appearances, radio programs, and contributions to encyclopedias. His work has appeared in both academic journals and public-facing media outlets, demonstrating his commitment to making Jewish history accessible to broader audiences. He has contributed to numerous radio programs on Jewish history for Dutch Jewish radio stations and has written for newspapers including the Reformatorisch Dagblad. His academic contributions include extensive work on Dutch-Jewish relations, particularly focusing on the relationship between Jewish communities and the Dutch Royal House throughout history. He has also produced significant scholarship on Jewish integration in Dutch society, religious education, and the development of Jewish identity in the Netherlands from the early modern period to the present day. His work often examines how Jewish communities maintained religious traditions while adapting to changing social and political contexts.

Ashley Braganzaمشاهده پروفایل

استاد

• Artificial Intelligence
• Change Management
• Strategy Implementation
• +۴ مورد دیگر

Professor Ashley Braganza serves as Dean of Brunel Business School at Brunel University London and holds the Chair in Business Transformation. He founded and co-directs Brunel's interdisciplinary Research Centre for Artificial Intelligence (established 2018), which includes a dedicated AI Lab and forms part of Brunel's broader AI Ecosystem. His leadership secured £3.5 million in grants during the 2022/23 academic year and a recent €5.8 million ELOQUENCE EU project (2024-2027). His academic qualifications include a PhD in Organisational Change and Information Systems from Cranfield University and an MBA in Strategic Management Responsibility from the University of Strathclyde. Professor Braganza's research centers on artificial intelligence, big data, change management, strategy implementation, process and knowledge management, and transformation-enabled information systems . His practice-based approach stems from over 40 major consultancy projects with global organizations including BT, Microsoft, McDonald's, Astra Zeneca, and UN agencies. He champions interdisciplinary experiential learning and rigorous academic research with real-world applications. Analysis of his 15 most recent publications reveals dominant trends in applying AI and digital technologies to healthcare supply chains, blockchain governance, and socioeconomic challenges like digital poverty. His work consistently bridges operations management, information systems, and social sciences while examining human-organizational impacts of technological transformation. His distinguished recognition includes: Election to the British Academy of Management College of Fellows for 25+ years of scholarly contribution and community service Professor Braganza has directed significant research initiatives including the British Academy-funded digital poverty study in Margate, UK-India collaborative projects on AI in healthcare productivity, and curriculum development for special needs trainers. His consultancy assignments with major corporations have co-created practical frameworks for implementing complex organizational change programs. He founded and chairs the British Academy of Management Special Interest Group in Transformation, Change and Development, and directs Brunel's AI: Social and Digital Innovation Research Centre, fostering cross-disciplinary collaboration through the Operations and Information Systems Management Research Group (OISM).

Michael J. Freedmanمشاهده پروفایل

استاد

• Distributed Systems
• Networking
• Security
• +۴ مورد دیگر

Michael J. Freedman is the Robert E. Kahn Professor of Computer Science at Princeton University and co-founder/CTO of Timescale. He received his Ph.D. from NYU’s Courant Institute and degrees from MIT. Current roles: Professor, Co-founder & CTO Affiliations: Princeton University, SNS Group, CITP Associate Education: Ph.D. (NYU), S.B./M.Eng. (MIT) His research spans distributed systems, networking, and security, with innovations like CoralCDN, DONAR, and Ethane. His work impacts decentralized content delivery, software-defined networking, and privacy-enhancing technologies. His recent publications address scalable fusion algorithms, GPU acceleration for data systems, and distributed GPU resource management. These works intersect with cloud infrastructure, network optimization, and security. Scientific honors include: Presidential Early Career Award for Scientists and Engineers (PECASE) Sloan Fellowship NSF CAREER Award Office of Naval Research Young Investigator Award Test of Time Award (Theory of Crypto Conference) ACM SIGOPS Mark Weiser Award He advises graduate students like Sam Ginzburg and Ashwini Raina, who joined Meta AI and Timescale post-PhD. His projects have secured substantial grants, including $110M Series C funding for Timescale. Key labs/teams: Princeton SNS Group Co-founder, Timescale (enterprise data platform) Co-founder, iobeam (IoT analytics, acquired by Timescale) Collaboration with FCC on Consumer Broadband Test Contributions to OpenFlow/SDN standardization

• Machine Learning
• Dynamical Systems
• Optimization
• +۳ مورد دیگر

Michael Muehlebach leads the independent Learning and Dynamical Systems research group at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany. His interdisciplinary work bridges machine learning, dynamical systems theory, and control engineering to develop algorithms for cyber-physical systems with theoretical guarantees and practical implementations. Dr. Muehlebach received his B.Sc. and M.Sc. in Mechanical Engineering from ETH Zurich in 2010 and 2013, specializing in robotics and control systems. He completed his Ph.D. at ETH's Institute for Dynamic Systems and Control under Prof. R. D'Andrea in 2018, followed by postdoctoral research with Prof. Michael I. Jordan at UC Berkeley. His research focuses on constrained optimization, reinforcement learning, and control theory with applications in robotics. He pioneered approaches that express constraints in terms of velocities rather than positions, enabling more efficient optimization algorithms. His work spans theoretical foundations to physical implementations, including the One-Wheel Cubli balancing robot and electromagnetic navigation systems. Recent publications reveal a strong trend toward physics-informed machine learning, particularly for robotics applications requiring real-time performance and safety guarantees. Dr. Muehlebach has received numerous prestigious awards: Outstanding D-MAVT Bachelor Award Willi-Studer prize for best Master's degree ETH Medal and HILTI prize for doctoral thesis Branco Weiss Fellowship (2018) Emmy Noether Fellowship (2020) Amazon Fellowship (2024) He actively mentors doctoral researchers including Hao Ma, Melis Ilayda Bal, and Onno Eberhard, with research supported by multiple grants. His group maintains strong collaborations with Bernhard Schölkopf's Empirical Inference group at the Max Planck Institute. The Learning and Dynamical Systems group develops innovative hardware and software platforms, including Floaty (a wind-harnessing flying robot), advanced electromagnetic navigation systems, and data-efficient learning methods for robotic table tennis. Their approach combines rigorous theoretical analysis with practical validation on physical systems, emphasizing the integration of known physical structure into machine learning algorithms to improve sample efficiency and ensure generalization.

Mark J. Loewensteinمشاهده پروفایل

استاد

• Business Law
• Corporate Governance
• Securities Regulation
• +۳ مورد دیگر

Mark J. Loewenstein is the Monfort Professor of Commercial Law at the University of Colorado Law School, where he has been a faculty member since 1979. He teaches courses in Business Associations, Securities Law, and Contracts, and has established himself as a leading scholar in business law. Professor Loewenstein previously practiced business law at a Chicago law firm before joining academia and has maintained strong connections with the legal profession throughout his career. Professor Loewenstein's educational background includes: JD from the University of Illinois, Champaign-Urbana BA from the University of Illinois, Champaign-Urbana Professor Loewenstein's research focuses on business associations, agency law, and securities law, with particular expertise in corporate governance. His scholarly work examines the legal structures of business organizations, fiduciary duties in unincorporated entities, and the evolving landscape of corporate law. He has made significant contributions to understanding LLC governance, veil piercing doctrines, and the application of good faith principles in business contexts. His comparative work on stakeholder protection in Germany and Japan demonstrates his international perspective on corporate governance issues. Analysis of Professor Loewenstein's publications reveals a consistent focus on the intersection of business organization law and corporate governance. His work spans theoretical examinations of agency principles, practical analyses of LLC structures, and historical perspectives on corporate law developments. A notable trend in his scholarship is the examination of how traditional corporate law concepts apply to newer business forms, particularly limited liability companies. His publications also demonstrate a strong interest in the balance between state and federal regulation of business entities. Professor Loewenstein has received significant professional recognition: Monfort Professor of Commercial Law (endowed chair) Fulbright Scholar at Hokkaido University, Japan (1990-91) Visiting Professor at University of Michigan Law School (1999) Throughout his career, Professor Loewenstein has demonstrated exceptional service to both the University of Colorado Law School and the broader legal community. He served as associate dean for academic affairs for nine years and associate dean for research for four years. He was a member of Colorado's Securities Board from 1995 to 2000 and contributed to the drafting of the 1994 Colorado Business Corporation Act. As a delegate to the ABA House of Delegates (1999-2005) and active member of the ABA's business law committee, he has influenced business law development at the national level. His service extends to editorial roles for legal publications and frequent presentations at professional conferences. Professor Loewenstein maintains strong connections with the legal practice community through his ongoing service on the Colorado Bar Association's Corporate Law Revision Committee and his contributions to continuing legal education programs. His work bridges academic scholarship and practical legal application, making him a valued resource for both students and practitioners.

Jay David Bolterمشاهده پروفایل

استاد

• Augmented Reality
• Digital Culture
• History of Media
• +۳ مورد دیگر

Jay David Bolter holds the Wesley Chair of New Media and serves as Professor and Director of Computational Media at the Georgia Institute of Technology, where he is affiliated with the School of Literature, Media, and Communication within the Ivan Allen College of Liberal Arts. A foundational figure in digital media studies, he is renowned for his influential theoretical works and practical contributions to new media forms. His research spans Augmented Reality , Virtual Reality , Digital Culture , and the History of Media , with particular emphasis on remediation theory (developed with Richard Grusin) and the evolution of digital writing. As an active member of the Augmented Environments Lab, Bolter creates narrative-driven AR applications for cultural heritage sites and educational contexts, blending theoretical rigor with experimental design. His work consistently examines how new media technologies reshape human perception and cultural practices. Recent publications reveal a concentrated exploration of reality media (AR/VR) as narrative spaces, with articles addressing biofeedback integration in VR fitness, agency-driven interactive storytelling, and theoretical frameworks for understanding immersive experiences. His scholarship bridges historical media analysis with cutting-edge technical implementation, demonstrating how remediation processes continue to evolve in mixed reality environments. This trajectory reflects his lifelong investigation into the interplay between technological capabilities and human expression. Bolter maintains significant collaborative partnerships, including co-authoring seminal texts like Remediation and developing the Storyspace hypertext system with Michael Joyce. His leadership in the Augmented Environments Lab drives interdisciplinary projects that merge humanities perspectives with technological innovation, particularly in creating culturally resonant AR experiences. Teaching responsibilities include advanced courses in mixed reality design, computational media, and digital media theory, shaping the next generation of media scholars and practitioners.

Suman Dattaمشاهده پروفایل

استاد

• Semiconductor Devices
• Nanotechnology
• VLSI Systems
• +۷ مورد دیگر

Suman Datta is a Professor at the Georgia Institute of Technology , holding the Joseph M. Pettit Chair in Advanced Computing and Georgia Research Alliance Eminent Scholar titles. He has a joint appointment with the School of Materials Science and Engineering. Education : B.Tech in Electrical Engineering from IIT Kanpur; Ph.D. in Electrical and Computer Engineering from the University of Cincinnati. Prior Appointments : Stinson Endowed Chair Professor of Nanotechnology at University of Notre Dame (2015–2022); Professor at Penn State (2007–2015); Intel Corporation (1999–2007) in Advanced Transistor Group. Research Interests : His work focuses on high-performance heterogeneous computing using advanced CMOS and beyond-CMOS semiconductors. Key areas include ferroelectric field-effect transistors (FeFETs) , cryogenic computing , in-memory computing , and brain-inspired computing . He explores materials like ferroelectric gate stacks , insulator-to-metal phase transition oxides , and high-mobility oxides for next-generation compute architectures. Recent Article Trends : His group’s publications emphasize BEOL-compatible oxide transistors , negative capacitance , radiation-resilient devices , and machine learning-aided modeling . Subfields include low-voltage memory , 3D Ising machines , dynamic logic at cryogenic temperatures , and monolithic integration of power delivery systems. Scientific Awards : IEEE Fellow (2013) for contributions to transistor technologies NAI Fellow (2016) for societal impact via patents Intel Achievement Award (2003) for high-k/metal gate CMOS Intel Logic Technology Quality Award (2002) for Tri-gate transistors SEMI Award (2012) for high-k dielectrics Penn State Outstanding/ Premier Research Awards (2012, 2015) Advising & Grants : He has mentored students like Wriddhi Chakraborty , Khandker Akif Aabrar , and Sourav Dutta . His research is funded by SRC , DARPA , and NSF , including leadership of the ASCENT and EXCEL centers. Labs & Collaborations : Datta directs the STAR Lab at Georgia Tech, which specializes in atomistic modeling , nanofabrication , and compact model development . The lab collaborates with industry giants like Intel , Micron , and IBM through the ASCENT center.

Marilyn J Smithمشاهده پروفایل

استاد

• Unsteady Aerodynamics
• Computational Aeroelasticity
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Marilyn J Smith is the David S. Lewis Professor and Director of the Vertical Lift Research Center of Excellence (VLRCOE) at the Georgia Institute of Technology's Daniel Guggenheim School of Aerospace Engineering. She leads a seven-university consortium conducting vertical lift research for the U.S. Army, Navy, and NASA, and has secured over $200 million in collaborative research funding. Computational Nonlinear Computational Aeroelasticity Lab Director NASA FUN3D development team contributor Aerospace Systems Design Lab (ASDL) affiliate Her research spans unsteady aerodynamics, computational aeroelasticity, and sustainable energy applications across rotary-wing, fixed-wing, and launch vehicles. She serves on the Vertical Lift Consortium (VLC) Board of Directors and Vertical Flight Society (VFS) Board, while acting as VFS Deputy Technical Director for Aeromechanics and leading international NATO AVT panels on UAV aerodynamics. Recent publications focus on galaxy cluster cosmology, ship-helicopter dynamic interface modeling, and Type Ia supernova analysis. She has won prestigious awards including the AIAA Aerodynamics Award and multiple American Helicopter Society honors for research, mentoring, and service. 2022 AIAA Aerodynamics Award 2015 Best Paper Awards at AHS Forum 2014 & 2012 AHS Agusta-Westland International Fellowships Her laboratory work integrates high-performance computing with aerospace design and develops advanced turbulence models through partnerships with Georgia Tech Research Institute (GTRI). She contributes to public science communication with appearances on National Geographic, PBS, NPR, and local media.

Qing Caoمشاهده پروفایل

دانشیار

• Nanomaterials
• Electronic Devices
• Optoelectronic Devices
• +۵ مورد دیگر

Qing Cao is an Associate Professor of Materials Science and Engineering at the University of Illinois at Urbana-Champaign, with courtesy appointments in Chemistry and Electrical Engineering. He leads the Cao Research Group within the Grainger College of Engineering and serves as Deputy Editor of Science Advances. Dr. Cao received his B.S. in Chemistry from Nanjing University in 2004 and his Ph.D. in Materials Chemistry from the University of Illinois at Urbana-Champaign in 2009. After working for 9 years as a research scientist at IBM Thomas J. Watson Research Center, he returned to UIUC in 2018 as a faculty member. His research focuses on developing functional nanomaterials for unconventional electronic systems, high-performance logic devices, and low-cost energy harvesting. The Cao Research Group specifically works on: nanoelectronic devices based on novel nanomaterials; next-generation memory devices for neuromorphic and in-memory computing; monolithic 3D integration for high performance electronics; high-performance printable electronic materials; and bioelectronics for healthcare applications. His work bridges materials science, chemistry, electrical engineering, and device physics. Analysis of Dr. Cao's recent publications reveals a strong focus on electrochemical memory devices for neuromorphic computing, with significant work on carbon nanotube-based electronics and novel nanomaterials. His 2023 Nature Electronics paper on CMOS-compatible electrochemical synaptic transistors demonstrates his leadership in developing hardware solutions for deep learning acceleration. His research trajectory shows a progression from fundamental carbon nanotube device physics to more applied systems for computing and sensing applications. IBM Pat Goldberg Memorial Best Paper Award (2017) IBM Master Inventor Award (2016) MIT Technology Review TR35 (2016) Forbes '30 Under 30' (2012) and 'Most Influential All-Star Alumni' (2016) Atlantic Council Millennium Fellow (2017) US Frontiers of Engineering by National Academy of Engineering (2016, 2019) 17 IBM Invention Achievement Awards (2011-2018) Dr. Cao has secured significant research funding including NSF grants 1950182 and 2139185. His research group actively recruits graduate students and postdoctoral researchers to work on cutting-edge materials and device projects. His work has resulted in over thirty research papers and fifty patents and patent applications. He teaches graduate courses including MSE 403 (Synthesis of Materials), MSE 460 (Electronic Materials I), and MSE 488 (Optical Materials). The Cao Research Group operates within the University of Illinois' world-class facilities including the Frederick Seitz Materials Research Laboratory and Holonyak Micro and Nanotechnology Laboratory. His research has received support from NSF, DoD, DOE, and industry partners including TSMC. The group's recent $2 million project focuses on developing technology to help mobile devices learn and adapt to their surroundings.

• Decision Analysis
• Operations
• Information Systems
• +۷ مورد دیگر

John C. Butler is a Clinical Associate Professor in the Finance Department at the McCombs School of Business, University of Texas at Austin. He holds leadership roles as Academic Director of the Kay Bailey Hutchison Energy Center, Director of the MS Finance Program, and Director of the Energy Management Minor. His academic journey includes a PhD in Management Science and Information Systems from UT Austin (1998) and a BBA from Texas A&M University (1991). His research focuses on applications of decision analysis across domains including operations, finance, and information systems. Key areas include risk analysis, optimization, multi-attribute utility theory, and energy finance. His work integrates theoretical modeling with empirical validation to address complex decision-making challenges in both public and private sectors. Butler's publications demonstrate a consistent focus on decision modeling methodologies, with recent work emphasizing risk quantification and utility theory applications. His articles frequently intersect operations research, behavioral economics, and systems optimization, reflecting interdisciplinary approaches to solving managerial and policy problems. Awards and Honors: MBA Applause Award (2008, 2011) Finalist, INFORMS Franz Edelman Award (2004) INFORMS Decision Analysis Society Practice Award (2000) Fred Moore Teaching Award Dean's Research Fellowship, Ohio State University (2004) Leadership & Advising: Butler has supervised 11 PhD students to completion and secured significant grants including DOE funding for nuclear terrorism risk analysis. He directs multiple energy finance initiatives and serves on editorial boards for Decision Analysis and previously Decision Support Systems . Centers & Programs: As Academic Director of the Kay Bailey Hutchison Energy Center, he leads interdisciplinary energy research. He also developed the Energy Finance concentration and redesigned the MS Finance curriculum to incorporate quantitative energy market analysis.