Scott Hsu serves as an Associate Professor in the Department of Finance at the Walton College of Business, University of Arkansas, with his office located in WCOB 475B. His academic role centers on empirical finance research with strong institutional linkages. Dr. Hsu's research critically examines how external institutions and managerial characteristics shape corporate behavior. His primary focus areas include corporate political connections , CEO attributes (notably physical attractiveness), private equity dynamics , and venture capital investment patterns . He investigates causal mechanisms through which bankruptcy laws, political networks, and executive experiences influence firm policies, innovation outcomes, and market competition. Analysis of his 12 publications (2010-2025) reveals consistent methodological rigor in studying institutional finance. Key trends include the supply-chain externalities of political connections, CEO appearance effects on firm valuation, and private equity's employment impacts. His work bridges corporate finance with political economy and innovation studies, frequently employing large-scale empirical datasets to uncover non-market forces in corporate decision-making. The 2025 paper on political connection externalities indicates ongoing active research.
Gerald Pruckner is a Professor at the Department of Economics, Johannes Kepler University Linz (JKU), where he serves as Head of the Institute of Health Economics and Dean of the Kurt Rothschild School of Economics and Statistics (RoSES). His academic career spans over three decades with significant leadership roles including heading the Christian Doppler Laboratory for Aging, Health, and the Labor Market (2014-2021), and serving on the board of the Austrian Health Economics Association (ATHEA). He teaches multiple courses including Introductory Microeconomics, Empirical Economics, and Health Economics for the 2025W semester. Pruckner earned his PhD in Economics from the University of Linz in 1993. His academic journey began as an Assistant Professor at JKU (1989-2002), followed by a Professorship at the University of Innsbruck (2002-2006), then returning to JKU as Associate Professor (2006-2010) before his current Professorship (since 2011). He has held visiting positions at the University of Adelaide and UC Berkeley. His research focuses at the intersection of health economics, behavioral economics, and aging, examining healthcare systems, physician behavior, and the relationship between labor markets and health outcomes. Recent work investigates hospital crowding effects, gender differences in medical practice, chronic disease screening effectiveness, and child health services. His research consistently applies economic principles to understand healthcare delivery with emphasis on the Austrian context, often utilizing register data for evidence-based policy insights. Analysis of Pruckner's publication trends shows a sustained focus on practical healthcare issues with policy relevance. His work spans hospital management challenges, gender differences in medical practice, chronic disease screening effectiveness, and child health services. The research consistently bridges academic inquiry with practical health policy applications, with increasing attention to pandemic impacts and digital transformation in healthcare. Board member of Austrian Health Economics Association (ATHEA) since 2015 Member of Health Economics Committee (Verein für Socialpolitik) since 2013 Deputy head of national research network 'The Austrian Center for Labor Economics and the Analysis of the Welfare State' (2008-2013) Head of Christian Doppler Laboratory for Aging, Health, and the Labor Market (2014-2021) Pruckner actively mentors graduate students through dissertation colloquia and master's thesis supervision. His research portfolio includes 23 projects with significant funding, including current work on health services research in Upper Austria and empirical analysis of Linz healthcare provision. As Dean of RoSES and Head of the Health Economics Institute, he provides institutional leadership while maintaining an active research agenda with over 100 publications. He leads multiple research teams focused on health services research, with current projects examining healthcare provision in Linz, health indicators for the region, and broader health system analysis. His work bridges academic research and practical health policy applications through collaborations with regional health authorities and participation in professional associations.
Dr. Craig S. Levin is a Professor of Radiology at Stanford University's Molecular Imaging Program at Stanford (Nuclear Medicine), with courtesy appointments in Physics, Electrical Engineering, and Bioengineering. He also holds memberships in Bio-X, the Cardiovascular Institute, the Wu Tsai Human Performance Alliance, and the Stanford Cancer Institute. Dr. Levin received his B.S. Summa Cum Laude in Physics and Mathematics from UCLA in 1985, followed by M.S., M.Phil., and Ph.D. degrees in Physics from Yale University in 1987 and 1993. His educational achievements were recognized with multiple honors including Phi Beta Kappa, Sigma Pi Sigma, and various departmental awards at UCLA. Dr. Levin's research focuses on the development of novel instrumentation and software algorithms for molecular imaging. His work spans medical physics, biomedical engineering, and instrumentation development with specific emphasis on positron emission tomography (PET), gamma camera technology, and multimodal imaging systems. His laboratory explores new concepts in radiation detection, image reconstruction algorithms, and the application of these technologies to cancer, heart disease, and neurological disorders. A notable aspect of his research involves pushing the physical limits of sensitivity and spatial, spectral, and/or temporal resolutions in imaging systems. His recent publications demonstrate a strong focus on enhancing PET technology, particularly time-of-flight capabilities, with significant work on improving coincidence timing resolution, developing MR-compatible PET systems, and applying deep learning techniques to image reconstruction and normalization. His research shows a clear trajectory toward higher resolution imaging with improved quantitative accuracy for both clinical and preclinical applications. Dr. Levin's scientific achievements have been recognized with numerous awards: American Institute for Medical and Biological Engineering's College of Fellows Academy of Radiology Research Distinguished Investigator Recognition Award National Research Service Award from NIH (1993-5) Pilot Research Award from the Society of Nuclear Medicine (1996) Multiple honors from UCLA including Phi Beta Kappa and Sigma Pi Sigma Full Tuition and Research Fellowship and Bates Graduate Fellowship from Yale University As an educator and mentor, Dr. Levin directs the NIH-NCI funded T32 Stanford Molecular Imaging Scholars postdoctoral training program and serves as a Doctoral Dissertation Advisor for students in Bioengineering and Biophysics. He currently advises five postdoctoral scholars and three doctoral candidates. His laboratory, the Molecular Imaging Instrumentation Laboratory, comprises approximately 20 members who work on developing new imaging technologies and translating them into clinical applications. Dr. Levin has secured substantial NIH funding as Principal Investigator along with grants from other government agencies, industry partners, and private institutions to support his research program. Dr. Levin's Molecular Imaging Instrumentation Laboratory is at the forefront of developing new imaging technologies that bridge physics, engineering, and medicine. The lab focuses on creating instrumentation for in vivo imaging of cellular and molecular signatures of disease, with particular emphasis on pushing the physical limits of imaging performance. Their work spans computer modeling, sensor development, electronics design, data acquisition systems, and advanced image processing algorithms. The lab maintains strong industry partnerships to translate their innovations into products used for patient care worldwide.
Lu Yi is a Professor at the Department of Economics, Tsinghua University School of Economics and Management , holding a CITIC Chair Professor since 2022. He is also Director of multiple research centers , including the Tsinghua University China Economic and Social Data Research Center and the Center for International Economics. A doctoral supervisor , he has guided students across institutions and academic programs. Lu Yi's education includes a BA from Fudan University's School of Life Sciences (1999) , an MA from Fudan University's School of Management (2003) , and a PhD from the University of Hong Kong's Faculty of Business and Economics (2007) . His research focuses on Chinese economy, public finance, and global economic governance , with particular emphasis on trade liberalization, institutional quality, and environmental policy. Key research areas : Trade policy impacts, productivity gains from trade, environmental regulation effects, and labor market responses to technological change Leadership roles : Editorial board member of American Economic Journal: Economic Policy , Co-Editor of China & World Economy , former Deputy Editor-in-Chief of Economic Journal Policy advisory : Expert for National Healthcare Security Administration's DIP payment system, National Council Member for Social and Economic Council His scientific awards span national and provincial levels , including the First Sun Shangqing Young Scholar Award , Pushan World Economics Outstanding Paper Youth Award , and multiple provincial social science achievement awards in Shandong, Liaoning, Zhejiang, Fujian, and Sichuan. His publications in top journals like the Journal of Public Economics , Review of Economics and Statistics , and Nature Climate Change demonstrate his influence in applied economics and policy research.
Dr Shu-Ling Lu is an Associate Professor at the University of Reading , serving as Director of the MSc Project Management Programme and a Member of Senate . Her research spans Innovation Management , Quality Control , and Net Zero Transitions in construction, alongside Heritage Building Integration and Gender Dynamics in built environment sectors. Her academic journey includes a PhD , MSc in Construction Engineering , and a Diploma in Architectural Engineering , all from institutions in Taiwan and the UK, complemented by a Postgraduate Certificate in Higher Education Practice from the University of Salford. Research Interests : Innovation in construction, quality management, heritage conservation, net-zero transitions, gender equity, and system dynamics applications. Article Trends : Focus on defects analysis , heritage integration , gender dynamics , system dynamics , and net-zero strategies across 15 recent publications. Scientific Awards : Fellow of the Chartered Institute of Building (FCIOB) Fellow of Higher Education Academy (FHEA) Full member, Association for Project Management (MAPM) BSI Committee Participation (Quality Management Standards) Supervision & Grants : Mentored 7 PhD students and led/co-led projects funded by Natural Environment Research Council (NERC) , EPSRC , and COST , with total grants exceeding £500,000.
Eric Talley is the Marc and Eva Stern Professor of Law and Business at Columbia Law School , where he has served as Full-time Faculty since 2015. Prior to Columbia, he held tenured positions at the University of California, Berkeley (2006–2015) and the University of Southern California (1995–2006), and visiting appointments at Caltech, University of Chicago, ETH-Zurich, European University Institute, Georgetown, Harvard, RAND Graduate School, and Stanford. Education : J.D. and Ph.D. in Economics from Stanford University; B.A. in Economics & Political Science from UC San Diego His research and teaching focus on Corporate Law , Mergers & Acquisitions , Corporate Governance , Law and Machine Learning , and Economic Analysis of Law . He co-directs the Ira M. Millstein Center for Global Markets and Corporate Ownership , directing research on corporate governance and performance trends. Recent publications analyze topics such as valuation disputes , officer liability in Delaware , and gender dynamics in startups , reflecting his interdisciplinary approach blending law, finance, and data science. His work has been featured in top journals and media outlets like the Wall Street Journal , Bloomberg , and Harvard Law School’s Forum . Scientific Awards : Willis L.M. Reese Prize for Excellence in Teaching (2017, 2022) Elected member of the American Academy of Arts & Sciences (2024) Talley hosts the Beyond “Unprecedented” podcast, exploring economic recovery post-pandemic. He serves on the Executive Committee of the Columbia University Data Science Institute and has held leadership roles in the Society for Empirical Legal Studies and the American Law and Economics Association.
Jason Harris is a Professor in Health Sciences Education at Purdue University with a courtesy appointment in the College of Engineering, Department of Nuclear Engineering. He serves as a key researcher at the Center for Radiological and Nuclear Security (CRANS) and maintains active leadership roles in major nuclear professional organizations. His academic credentials include: Ph.D. in Health Physics from Purdue University (2007) M.S. in Nuclear Engineering from the University of Illinois at Urbana-Champaign (2002) B.S. in Biology and Chemistry from the University of Tampa (1995) Dr. Harris's research centers on Environmental and Power Reactor Health Physics , Radiation Detection , Nuclear Security , and Nuclear Science Education and Training . His work pioneers methodologies for integrating nuclear safety and security frameworks, developing quantitative risk assessment tools that address terrorism scenarios while maintaining operational safety standards in nuclear facilities. Analysis of his 2020-2024 publications reveals a dominant focus on nuclear security risk quantification, with 80% of works developing facility risk indices and safety-security integration tools. His research consistently applies advanced computational methods including Monte Carlo simulations, game theory, and analytical hierarchy processes to model adversarial behavior and optimize defense strategies against radiological threats. Professional leadership includes: ABET Program Evaluator for Health Physics Chair of Health Physics Program Directors Organization (HPPDO) Chair of Academic Education Committee (Health Physics Society) Member-at-Large, Executive Committee (Institute of Nuclear Materials Management) Former Chair, International Nuclear Security Education Network (IAEA) At CRANS, Dr. Harris directs research on practical security assessment tools, including graphical user interface implementations for risk index calculation and terrorism scenario modeling. His work bridges theoretical security frameworks with operational implementation in nuclear facilities worldwide.
William Anderson is a Professor in the School of Aeronautics and Astronautics at Purdue University since 2001. He holds a Ph.D. in Mechanical Engineering (Pennsylvania State University, 1996), M.S. in Chemical Engineering (University of Arizona, 1984), and B.S. in Chemistry (Arizona State University, 1979). His research focuses on chemical propulsion systems, combustion dynamics, and rocket engine design methodologies. Key research areas include measurement and modeling of combustion instabilities, rocket combustor stability, and liquid propulsion systems. His work spans experimental and computational studies of thermoacoustic behavior, injector design, and hypergolic reaction mechanisms. He has led projects on resonance igniters, hydrogen peroxide/kerosene combustors, and multi-fidelity modeling frameworks. Anderson has been recognized with the C.T. Sun Research Award (2005) and multiple Best Paper Awards from AIAA conferences. He served as Global Engineering Program Director (2011–2014) and is an Associate Fellow of AIAA. His expertise is showcased in invited lectures at institutions worldwide, including Technical University of Munich and Harbin Institute of Technology. He has authored/co-authored books on rocket propulsion and combustion instability, including Rocket Propulsion (Cambridge University Press, 2018) and edited volumes such as Liquid Rocket Engine Combustion Instability (AIAA, 1995). His lab collaborates internationally on advanced propulsion technologies, emphasizing design, build, and test methodologies.
Mauricio Drelichman is a Professor at the University of British Columbia's Vancouver School of Economics within the Faculty of Arts. He serves as the Director of Undergraduate Studies and holds a Ph.D. from Northwestern University. His research focuses on Economic History , particularly Early Modern Spain , with emphasis on sovereign debt, fiscal policy, and institutional development. Ph.D., Northwestern University Director of Undergraduate Studies, UBC Research: Economic History, Early Modern Spain Drelichman's work investigates historical financial mechanisms such as sovereign debt contracts under Philip II, demonstrating how risk-sharing and contingent debt allowed sustained market access despite defaults. He has also analyzed resource curses , Dutch disease effects, and social consequences of persecution in Spain. His recent article in the Proceedings of the National Academy of Sciences (2021) examines long-term impacts of the Spanish Inquisition , while earlier studies explored gender wage gaps and housing markets in Early Modern Toledo. His publications often focus on historical debt sustainability , financial repression , and institutional quality . Scientific Awards: AEHE 2021 Earl J. Hamilton Prize Explorations Prize (2005/06 and 2010/11)
Sunder Kekre is the Vasantrao Dempo Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business , where he has held academic appointments since 1984. His research focuses on manufacturing systems, global supply chains, and healthcare operations management. Research Expertise : New product development structures, strategic costing, lean innovation, knowledge sharing in enterprise networks, and business analytics for coordinated supply chains. Key Publications : Contributions to journals like Management Science , Operations Research , and Production and Operations Management , with work on LNG storage valuation, RFID logistics, and healthcare disparities. Scientific Recognition : Dempo Chair Professorship Bosch Chair Professorship Best Paper Award (1995) Teaching : Courses in Operations Management, Strategic Management of the Enterprise, and Information Systems Project. Non-Academic Experience : Prior engineering roles at Tata Steel (1974-1980) and consulting engagements with Fortune 500 firms like Bosch, Caterpillar, and IBM.
Dr. Amir Ghanbaripour is a Discipline Lead in Planning, Property, and Project Management at Bond University's Faculty of Society & Design, with a PhD in Construction Project Management (2020). He teaches postgraduate courses and leads the Project Management program. His expertise spans project management methodologies, systems thinking, organizational maturity, and gender equality in projects. He is an active member of the Project Management Institute (PMI) as Associate Director for Academic Outreach. Education: PhD in Construction Project Management (Bond University, 2020), MSc in Civil Engineering (Iran University of Science and Technology, 2012), BSc in Civil Engineering (Amirkabir University of Technology, 2009). Research focuses on project success models, agile methodologies, and technology integration in construction education. He leads research projects on megaprojects, sustainable practices, and gender diversity in the industry. Grants include the 2023 FSD Research Project Grant (focusing on construction project strategies) and the 2023 FSD Deans Award (exploring robotics in manufacturing). He supervises PhD candidates and collaborates with national/international organizations on project management innovation.
Jalaa Hoblos is an Associate Professor of Practice in the Department of Computer Science at Stony Brook University, part of the College of Engineering and Applied Sciences. She holds a B.S. from the Lebanese University in Beirut, Lebanon, and an M.S. and Ph.D. in Computer Science from Kent State University. Prior to Stony Brook, she served as an Assistant Professor at Penn State Behrend, a Visiting Assistant Professor at Hiram College, and adjunct faculty at Kent State University and the University of Akron. Her primary roles include teaching and research. Her research focuses on Data Quality Analysis, Cloud Computing (particularly load balancing and security), Wireless Networks Security, and Statistical Mathematics. She has explored topics such as fairness and throughput in multi-hop wireless networks, malicious behavior detection in clouds, and protocol modifications like the adaptive 802.11 MAC. Her work integrates statistical methodologies with network optimization and security challenges. Recent publications emphasize anomaly detection in time-series data and fairness-enhancing protocols. She has also applied techniques like Latent Semantic Analysis to educational technology. No scientific awards are explicitly mentioned in the texts. While no advising or grant details are provided, her teaching includes courses like CSE 114 (OOP), CSE 101 (Principles), CSE 310 (Computer Networks), and security-focused courses such as ISE 331 (Fundamentals of Computer Security). She has maintained consistent academic engagement across institutions and disciplines.
Prof. Margret Keuper is a Professor of Machine Learning at the University of Mannheim's School of Business Informatics and Mathematics, leading the Data and Web Science Group. She is also affiliated with the Max-Planck-Institute for Informatics and ELLIS (fellow since 2024). Her research focuses on robust deep learning, neural architecture search, and computer vision tasks like motion segmentation and adversarial defense. She holds a PhD from the University of Freiburg and previously held positions at the University of Siegen and the University of Mannheim. Her work spans projects funded by DFG and BMBF, including Climate Visions for social media analysis and TrackOpt for motion tracking. She teaches courses on computer vision, generative models, and reinforcement learning. She actively serves on program committees for top conferences like CVPR, ECCV, and NeurIPS, and is an associate editor for IEEE TPAMI and JAIR. Education: PhD in Computer Science from University of Freiburg (advisor: Thomas Brox) Research Projects: Learning to Sense (DFG), Climate Visions (BMBF), TrackOpt (BMBF) Key Roles: Head of Mannheim Master in Data Science Examination Board, Member of MSc Business Informatics Board Her research emphasizes robustness in AI systems, with contributions to adversarial attacks, domain generalization, and efficient solvers for large-scale problems. She advises over 15 PhD students across academic and industry partnerships.
Barbara A. Knuth is a Professor Emerita at Cornell University's College of Agriculture and Life Sciences, Department of Natural Resources and the Environment. She previously served as Dean of Cornell's Graduate School (over 10 years), Vice Provost/Senior Vice Provost (8 years), and Senior Associate Dean in CALS (3 years). Her academic career began with a PhD in Fisheries and Wildlife Sciences from Virginia Tech (1987), making her the first woman in tenure-track faculty at Cornell's Department of Natural Resources. Education: Ph.D., Fisheries and Wildlife Sciences (Virginia Tech) M.En., Environmental Science (Miami University) B. Phil. & A.B., Zoology/Environmental Studies (Miami University, Phi Beta Kappa) Research Interests: Focuses on ecosystem-based management in Great Lakes/marine systems, risk communication around chemical contaminants in fish, and environmental stewardship. Also studies equity/inclusion in graduate education. Key themes include: Social science integration in natural resource policy Health benefits/risk trade-offs in fish consumption Community-based conservation strategies Outreach: Advises state/tribal agencies on fishery management and public health. Led initiatives improving graduate education through professional development, mental health support, and faculty mentoring programs. Awards: Debra W. Stewart Award (2019) Fellow, American Fisheries Society (2015-) Council of Graduate Schools Recognition Multiple teaching/research awards (1999-2006) Grants & Funding: Supported by NSF, Sea Grant, EPA, Sloan Foundation, and others for projects on Great Lakes management, educational equity, and contaminant risk communication. Labs/Teams: Affiliated with Cornell's Center for Conservation Social Sciences. Collaborated with Ecologists Without Borders, Great Lakes Fishery Commission, and National Academies Ocean Studies Board.
Siyu Tang is an Assistant Professor in the Department of Computer Science at ETH Zürich, where she leads the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Her research focuses on computational models for human perception and digitalization through computer vision and machine learning. Her educational background includes: PhD in Computer Science, Max Planck Institute for Informatics (2017), supervised by Prof. Bernt Schiele Master of Science in Media Informatics, RWTH Aachen University Bachelor of Science in Computer Science, Zhejiang University, China Dr. Tang specializes in human-centric computer vision, developing statistical models for motion analysis, pose estimation, and digital human creation. Her work integrates machine learning with optimization techniques to enable machines to interpret human activities from visual data, with applications spanning virtual reality, healthcare, and human-computer interaction. Key research thrusts include generative models for content creation, egocentric vision, and human motion synthesis. Her recent publications (2024-2025) demonstrate intense focus on 3D human modeling and neural rendering, with Gaussian splatting emerging as a dominant technique for efficient avatar creation and scene reconstruction. Significant themes include text-driven motion synthesis using diffusion models, relightable avatars, surgical training applications, and egocentric multimodal pretraining. This work bridges computer vision, graphics, and machine learning to advance human digitalization. No scientific awards were mentioned in the provided text. Dr. Tang leads the VLG research group at ETH Zürich, mentoring PhD and Master's students in human-centric AI. She previously secured an early career research grant from the Max Planck Institute for Intelligent Systems to establish her independent research program. Her group actively pursues funding for projects in human motion analysis, 3D reconstruction, and generative modeling, with strong industry and clinical collaborations. The Computer Vision and Learning Group (VLG) operates within ETH's Institute of Visual Computing, maintaining dedicated facilities for motion capture, 3D scanning, and high-performance computing. The team collaborates internationally with institutions like the Max Planck Society and focuses on scalable solutions for real-world human digitalization challenges, including surgical training systems and immersive virtual environments.
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