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Preet SinghView profile

Professor

• Corrosion Science
• Electrochemistry
• Metals and Alloys
• +5 more

Preet Singh is a Professor and Associate Chair for Graduate Studies in the School of Materials Science and Engineering at Georgia Tech, with affiliations to the College of Engineering. His research focuses on corrosion science, electrochemistry, and environmental degradation of materials, particularly metals and alloys. Prior to joining Georgia Tech in 2003, he was a faculty member at the Institute of Paper Science and Technology (IPST), where he investigated corrosion issues in the pulp and paper industry. Professor Singh's work explores fundamental mechanisms of material degradation in industrial environments, aiming to develop mitigation strategies against environment-induced failures. Key research areas include corrosion fatigue, hydrogen embrittlement, stress corrosion cracking, and oxidation behavior. His group employs experimental approaches to study material reliability under varying chemical and mechanical conditions. Recent publications demonstrate interdisciplinary collaboration across oncology, agriculture, and energy systems, reflecting broad applications of materials science principles. Research trends show increased focus on biomedical materials and sustainable technologies alongside core corrosion studies. Professor Singh advises graduate students including Abdullah Alzubail, Yousif Al Rabie, Sai Shreeya, Yara, and Sean Li. He directs the Corrosion and Materials Reliability Laboratory (CMCRL), which partners with industry to solve practical engineering challenges related to material performance.

Hau-Tieng WuView profile

Professor

• Biomedical Signal Processing
• Applied Mathematics
• Machine Learning
• +5 more

Hau-Tieng Wu is a Professor in the Department of Mathematics at the Courant Institute of Mathematical Sciences, New York University. Originally from Kaohsiung, Taiwan, he holds an MD from National Yang-Ming University (2003) and a PhD in Mathematics from Princeton University (2011). His research focuses on developing mathematical foundations for biomedical signal analysis, particularly in high-frequency and heterogeneous physiological signals such as ECG, EEG, and PPG. He leads the MISTA Lab, which bridges theoretical advancements with clinical applications in areas like sleep dynamics, surgical monitoring, and wearable device data analysis. Key academic roles include tenured positions at Duke University (2017–2023) and the University of Toronto (2014–2017). Notable awards include the Sloan Research Fellowship (2015) and PIMS Early Career Award (2017). His lab actively collaborates with physicians and engineers to advance interpretable medical AI systems. Research interests span nonlinear time-frequency analysis, manifold learning, and spatiotemporal data processing. Over 100+ journal publications and 10 conference proceedings highlight contributions to signal processing theory and clinical applications. The lab is recruiting PhD students/postdocs with backgrounds in applied math, statistics, or biomedical engineering.

Anandadeep MandalView profile

Associate Professor

• Digital Finance
• Financial Technology
• Artificial Intelligence in Finance
• +12 more

Dr Anandadeep Mandal is an Associate Professor in Finance and the Scotcoin Distinguished Chair of Digital Finance at the University of Birmingham , within the Birmingham Business School and the Department of Finance . He is the founding director of the MSc Financial Technology programme and the Programme Director for the MBA (Distance Learning), demonstrating significant leadership in academic program development. Education: PhD in Probability Distribution Fitting, Cranfield University (2016) MRes in Management Science, Cranfield University (2012) MSc in Finance and Investments, Durham University (2008) Bachelor’s in Electronics Engineering Research Interests: Dr Mandal’s interdisciplinary research lies at the intersection of mathematical modelling, artificial intelligence, finance, and digital innovation . His work focuses on AI-enabled investment strategies , blockchain for financial transparency , ESG performance measurement , and the development of the Sustainable Efficiency Index (SEI) . He also pioneers AI applications in digital education , including a patent-pending platform for automated grading of multi-modal student submissions using ensemble AI methods. Publication Trends: His recent scholarly output spans high-impact journals and conferences, reflecting a strong focus on digital finance , climate and social media analytics , cryptocurrency regulation , and AI in financial forecasting . His work combines advanced data science techniques with real-world policy and financial applications, particularly in sustainability and public health. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr Mandal has secured over £2 million in research funding from sources including UKRI, UoB QR Funding, and industry partners. While specific students are not listed, his role as programme director and research leader suggests active mentorship. His research has direct policy impact through collaborations with the NHS Trusts , NIHR , and the UK Government . Labs, Teams, and Impact: Dr Mandal leads a research agenda that bridges academia and public policy. His work extends beyond the university through public engagement at science festivals, outreach for young learners, and expert contributions to UK Parliamentary consultations on AI, sustainability, and financial innovation. He is a key figure in advancing digital finance education and research at the University of Birmingham.

• Corporate Finance
• Initial Public Offerings (IPOs)
• Corporate Governance
• +7 more

Abhinav Goyal is a Professor of Finance and Director of Global Engagement at Birmingham Business School, University of Birmingham. He is affiliated with the Department of Finance and plays a leadership role in shaping the school's international strategy. His research is widely published in premier finance journals, and he serves on editorial boards including as Associate Editor for British Accounting Review . Education: PhD in Banking and Finance, University College Dublin, Ireland (2013) MA in Financial Risk Management, Simon Fraser University, Canada (2007) BE (Hons) in Computer Science, India (2006) His research focuses on corporate finance , particularly IPOs, corporate governance, privatization, and dividend policy, with a strong emphasis on institutional and emerging market contexts. His work explores how legal, political, cultural, and media factors influence corporate financial decisions, especially in initial public offerings and payout policies. Using empirical methods, he investigates global patterns in financial markets, often drawing on cross-country datasets to assess the impact of governance reforms, ownership structures, and socio-political events. The recent articles reflect a consistent focus on IPO pricing dynamics, influenced by democracy, media, terrorism, board reforms, and legal frameworks. His research integrates insights from political economy, behavioral finance, and institutional theory, demonstrating a multidisciplinary approach to understanding financial markets. A recurring theme is the role of transparency, governance, and external shocks in shaping corporate financial behavior. Scientific Awards and Editorial Roles: Associate Editor, British Accounting Review Area Editor (Frontier Markets), Research in International Business and Finance Dr. Goyal has advised doctoral and postdoctoral researchers in finance, though specific names are not listed. He has secured research funding through collaborative projects reflected in his co-authored publications with international scholars. His past academic appointments include positions at University College Cork and the University of Liverpool, along with visiting roles at Monash University, Xi’an Jiaotong-Liverpool University, and Manipal University, indicating a strong global academic network. He teaches advanced courses such as Contemporary Topics in Banking and Finance (MBA) and Private Equity and Venture Finance (MSc), contributing significantly to graduate education. He leads no named research lab or center in the provided text, but his editorial roles and global engagement position suggest active participation in research communities and international academic collaborations.

Kürşat AydoğanView profile

Professor

• Corporate Finance
• Asset Pricing
• Emerging Markets
• +4 more

Kürşat Aydoğan is a Professor of Finance and currently serves as the Rector of Bilkent University. He holds a B.S. in Management from Middle East Technical University (1979), an MBA (1980), and a Ph.D. in Finance from Syracuse University (1986). His career includes teaching positions at Ball State University, Middle East Technical University, and Michigan State University, alongside a 13-year tenure as Dean of Bilkent’s Faculty of Business Administration (1991–2004). He has also consulted for the Central Bank of Turkey’s Research Department (1988–1993). His research focuses on corporate finance, asset pricing, and emerging markets, with notable contributions to banking sector analysis, market efficiency, and financial intermediation. His work bridges theoretical finance and practical market dynamics, particularly in Turkish and OECD contexts. His publications span topics such as stock market reactions to corporate actions, cross-sectional stock returns, and the interplay between banking and real sectors. His articles often address emerging markets’ unique challenges, offering insights into policy and institutional frameworks. His career reflects a blend of academic leadership, administrative roles, and impactful empirical research.

• Operations Research
• Mathematical Modeling
• Statistics
• +6 more

Edward H. Kaplan is the William N. and Marie A. Beach Professor of Management Sciences at the Yale School of Management, Professor of Public Health at the Yale School of Medicine, and Professor of Engineering at the Yale School of Engineering and Applied Sciences. He holds secondary appointments in Chemical and Environmental Engineering, Health Policy & Management, the Institution for Social and Policy Studies, and Statistics. Education: PhD in Urban Studies, Massachusetts Institute of Technology (1984) SM in Mathematics, Massachusetts Institute of Technology (1982) SM in Operations Research and City Planning, Massachusetts Institute of Technology (1979) BA in Urban/Economic Geography, McGill University (1977) Kaplan is an expert in operations research, mathematical modeling, and statistics, focusing on public policy and management. His research spans counterterrorism, HIV prevention, bioterrorism, and public health modeling. He has developed models for suicide bomber detection, smallpox response logistics, needle exchange program effectiveness, and wastewater-based disease surveillance. His work has been recognized with numerous awards, including the Koopman Prize (2003, 2005), INFORMS President’s Award (2002), Charles C. Shepard Science Award (2009), and INFORMS Fellow (2005). He has also served as President of INFORMS (2016) and co-directs the Daniel Rose Technion-Yale Initiative in Homeland Security.

Alain BonnevilleView profile

Professor

• Geothermal Energy
• Geological CO2 Storage
• Geophysical Methods
• +3 more

Dr. Alain Bonneville is a Lab Fellow and Geophysicist at Pacific Northwest National Laboratory (PNNL) and holds a Courtesy Professor appointment at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences. With extensive experience in geological storage of CO2, geothermal energy, and geophysical monitoring techniques, Dr. Bonneville leads diverse research projects that bridge fundamental science and practical applications for energy and environmental challenges. Dr. Bonneville's educational background includes: PhD in Geophysics from the University of Montpellier, France MS in Petroleum Geophysics from IFP-School, Paris, France BS in Geology from the University of Lyon, France Dr. Bonneville's research spans several critical areas in Earth sciences and energy systems. His work on geothermal energy focuses on super-hot enhanced geothermal systems (EGS), site characterization, monitoring, and stimulation fluids. In geological CO2 storage, he investigates project management, site characterization, numerical modeling, and monitoring methods using potential fields and remote sensing. His expertise in geophysical methods includes heat flow measurements, gravity surveys, muon tomography development for borehole deployment, and remote sensing applications. Additional research areas encompass marine heat flow instrumentation development, thermal monitoring of active volcanoes, and intraplate volcanism studies in the Indian and Pacific Oceans. Dr. Bonneville has received significant recognition for his contributions to science, including: Membership in the Washington State Academy of Sciences Lab Fellow position at Pacific Northwest National Laboratory Executive Committee membership on the U.S. National Risk Assessment Partnership Scientific Committee membership at IFP-Energies Nouvelles, France He also holds two U.S. patents related to electrophilic acid gas-reactive fluids for enhanced fracturing and recovery of energy producing materials. Throughout his career, Dr. Bonneville has led significant research initiatives, including the PNNL Carbon Sequestration Initiative (2009-2013) and the European Marie Curie Research Training Network on Greenhouse Gas Removal (GRASP), which involved 14 academic and industrial institutions across 7 countries and supported 35 PhD students and post-docs. His work on the FutureGen 2.0 project demonstrates his leadership in large-scale carbon storage site characterization and monitoring program design. Dr. Bonneville maintains active collaborations with research teams at PNNL's Environmental Molecular Sciences Laboratory and works closely with Oregon State University's geoscience researchers. His laboratory work focuses on developing novel instrumentation for geophysical monitoring, particularly in the areas of muon tomography for subsurface characterization and thermal monitoring systems for geothermal and carbon storage applications.

Stefan SchalteggerView profile

Professor

• Sustainability Management
• Corporate Sustainability
• Environmental Accounting
• +5 more

Stefan Schaltegger is Professor for Sustainability Management at the Centre for Sustainability Management (CSM) at Leuphana University Lüneburg. With over two decades of research experience, he is a globally recognized scholar in sustainability management, corporate sustainability, and environmental accounting. His work bridges academic research with practical business applications, influencing sustainability practices across multiple industries. Professor for Sustainability Management at Leuphana University Lüneburg Director of the Centre for Sustainability Management (CSM) Extensive publication record in top sustainability journals Regular contributor to policy discussions on sustainability Professor Schaltegger's research focuses on sustainability management systems, corporate sustainability strategy, environmental accounting, sustainable business models, and sustainability transitions. His work examines how organizations can effectively integrate sustainability into core operations, emphasizing stakeholder engagement, sustainability performance measurement, and the development of compelling business cases for sustainability. He has pioneered research on sustainability management accounting, rebound effects in sustainability initiatives, and the role of change agents in corporate sustainability transformations. His research spans both theoretical development and practical application, making significant contributions to how businesses understand and implement sustainability. His recent publications reveal an evolving research trajectory with increasing focus on systemic sustainability challenges. Schaltegger has shifted from foundational work on sustainability management accounting toward more complex issues like environmental rebound effects, sustainability transformations, and regenerative business practices. His 2023-2025 publications show growing attention to climate change responses, biodiversity conservation, and the role of service innovation in sustainability transformations. The interdisciplinary nature of his work is evident in publications spanning business strategy, environmental science, accounting, and policy journals. Ranked among the world's top 2% scientists in the Stanford study (2020) Best Young Researcher of the Year at Leuphana University Lüneburg (2010) IFAC PAIB Committee Research award for "article of merit" (2003) Professor Schaltegger actively mentors doctoral students and early-career researchers, though specific student names aren't listed in the provided materials. His research is supported by numerous projects including "TrICo Subproject: Community Sustainable Production," "Account4GreenEco," and "Hochschulen in Gesellschaft – Realexperimente transformativer Lern- und Forschungsprozesse für eine Kultur der Nachhaltigkeit an Hochschulen." His work demonstrates strong industry engagement through collaborations with businesses implementing sustainability practices. The Centre for Sustainability Management (CSM), which Schaltegger leads, serves as a hub for interdisciplinary sustainability research, education, and practice. The CSM coordinates multiple research projects including the Innovation Network aiming at Sustainable Smartphones (INaS) and works closely with industry partners to develop practical sustainability solutions. The center's activities span research, education, and transfer, reflecting Schaltegger's commitment to bridging the gap between academic theory and business practice in sustainability.

Maria J. RedondoView profile

Professor

• Type 1 Diabetes
• Genetics of Autoimmune Diseases
• Diabetes Heterogeneity
• +3 more

Maria J. Redondo is a Professor at Baylor College of Medicine and leads the Maria J. Redondo Lab at Texas Children’s Hospital, focusing on Type 1 Diabetes across four core areas: Genetics for prediction models and trial candidate selection Heterogeneity in diabetes pathogenesis Prevention through clinical trials Atypical Diabetes and Racial/Ethnic Influences Research Trends: Her recent articles emphasize genetic risk modeling, BMI correlations in pediatric diabetes, and HLA studies. The work integrates autoimmunity , metabolic research , and epidemiological analysis . Scientific Awards: Elected to the Society for Pediatric Research (2014) JDRF Early Career Development Award (2002) JDRF Postdoctoral Fellowship (2000) Immunology of Diabetes Society Junior Investigator Award (1998) Mentoring: Dr. Redondo mentors fellows and students in projects like COVID-19 and Diabetes and Racial Differences in Insulin Pump Uptake , with grants from NIH , Medtronic , and Hemsley Charitable Trust .

Susana MouratoView profile

Professor

• Environmental Economics
• Environmental Valuation
• Ecosystem Services
• +5 more

Susana Mourato is Professor of Environmental Economics at the Department of Geography and Environment at the London School of Economics and Political Science (LSE). She joined LSE in 2008 after ten years at Imperial College London. In 2021, she became the Vice President and Pro-Vice Chancellor (Research) at LSE. She also holds positions as Visiting Reader at Imperial College London and Honorary Senior Fellow at CSERGE (University of East Anglia). Professor Mourato is an expert in environmental economics and the application of economic valuation techniques to measure environmental change and social value. Professor Mourato's research focuses on valuing natural wealth and creating markets for ecosystem services, perceptions and preferences for low-carbon energy technologies, environmental valuation methods and applications, and the relationship between life satisfaction and the environment. Her work spans the fields of environmental economics, wellbeing economics, and behavioral environmental economics. She has conducted extensive research on ecosystem services, wildlife conservation, air and water pollution, chemicals, climate change, low carbon technologies, and cultural heritage, testing and applying economic valuation techniques to these diverse areas. Her recent publications show a strong trend toward integrating behavioral economics with traditional environmental valuation techniques. She has published extensively on the links between subjective wellbeing and environmental quality, as well as the application of economic valuation methods to inform environmental policy. Her work often involves interdisciplinary collaborations across economics, ecology, and social sciences, with significant policy impact through government advisory roles and international organizations. Member of Culture & Heritage Capital Advisory Board (UK Department for Digital, Culture, Media & Sport) Associate of the Grantham Research Institute on Climate Change and the Environment Former Academic Director of LSE Summer School Former Head of Department (2017-2020) Professor Mourato has worked on more than 45 research projects and consultancies for research councils, government, industry, charities, and international organizations. She currently leads projects for the OECD evaluating the impact of chemicals on IQ, for LSE Middle East Centre estimating preferences for climate change policies in the Gulf Region, and for water conservation in Kuwait. Her research has informed policy development in multiple countries and international contexts.

Mohammad ModarresView profile

Professor

• Probabilistic risk assessment
• Uncertainty analysis
• Probabilistic Physics of Failure
• +5 more

Mohammad Modarres is the Nicole J. Kim Eminent Professor at the University of Maryland within the A.J. Clark School of Engineering. He serves as Director of the Center for Risk and Reliability (CRR) and is a Professor of Nuclear Engineering in the Department of Mechanical Engineering. Dr. Modarres co-founded the world's first degree-granting graduate curriculum in reliability engineering at the University of Maryland and has established himself as an international expert in reliability and risk analysis. Dr. Modarres received his educational credentials from prestigious institutions: B.S. in Mechanical Engineering from Tehran Polytechnic M.S. in Mechanical Engineering from MIT M.S. and Ph.D. in Nuclear Engineering from MIT Dr. Modarres' research spans multiple critical areas in engineering risk and reliability. His primary interests include probabilistic risk assessment, uncertainty analysis, probabilistic physics of failure, and probabilistic fracture mechanics. His work encompasses both experimental investigations and sophisticated probabilistic model development. He has made significant contributions to materials degradation science, prognosis and health management systems, and nuclear safety analysis. His research bridges theoretical developments with practical applications in complex engineering systems, particularly in nuclear power and aerospace sectors. Analysis of Dr. Modarres' recent publications reveals a strong trend toward integrating advanced data science techniques with traditional reliability engineering. His work increasingly incorporates machine learning, deep learning, and entropy-based approaches to solve complex problems in prognostics and health management. There's a clear focus on multi-unit systems, particularly in nuclear power applications, and a growing emphasis on data-driven methodologies for remaining useful life estimation and failure prediction. His research maintains a strong foundation in probabilistic methods while embracing cutting-edge computational approaches. Dr. Modarres has received numerous prestigious honors and awards throughout his distinguished career: Nicole Y. Kim Eminent Professorship in Engineering Minta Martin Professorship in A.J. Clark School of Engineering University of Maryland Distinguished Scholar-Teacher (2019) Tommy Thompson Award for outstanding lifetime contributions to nuclear safety (American Nuclear Society) Fellow, American Nuclear Society Fellow, Institute of Electrical and Electronics Engineers (IEEE) Life Fellow of IEEE 1996 Maryland Inventor of the Year Award (in Information Sciences) FDA Commissioner Special Citation for Contributions to Risk Assessment Methods (2004) 2008 International Research Leadership Award (Society for Reliability Engineering, Quality and Operations Management) Honorary Doctorate from Universidad Da Vinci de Guatemala As the founding director of the Center for Risk and Reliability, Dr. Modarres has built a world-renowned program that has awarded over 500 Ph.D. and master's degrees. His research has been supported by significant grants from government agencies and industry partners, particularly in nuclear safety, aerospace reliability, and critical infrastructure protection. He has mentored numerous students who have gone on to become leaders in reliability engineering across various industries. His center collaborates extensively with the International Atomic Energy Agency (IAEA) and other international organizations on risk assessment methodologies. The Center for Risk and Reliability (CRR), which Dr. Modarres directs, serves as a hub for multidisciplinary research in risk and reliability engineering. The center has recently renovated its facilities to enhance collaboration among researchers from different engineering disciplines. CRR maintains strong partnerships with industry leaders including Amazon Lab126 (as evidenced by their collaboration on device durability research) and has been instrumental in advancing probabilistic risk assessment tools used in nuclear power plant safety analysis. The center hosts regular seminars, workshops, and international conferences, positioning itself at the forefront of risk and reliability research globally.

• Climate Change
• Social-Ecological Systems
• Rangeland Management
• +4 more

Nick Abel is an Honorary Associate Professor at the Fenner School of Environment & Society, Australian National University. With a distinguished international career spanning Africa and Australia, he has worked in Zimbabwe, Kenya, Ethiopia, Botswana, Somalia, Swaziland, Zambia, and Australia. His academic credentials include a Ph.D., M.Sc., and B.Sc.(Hons.), reflecting a strong foundation in environmental sciences and complex systems thinking. Abel's research program centers on the critical challenge of human adaptation to climate change, with particular focus on why adaptation efforts are insufficient to prevent environmental and social tipping points. He critically examines Australia's role as the world's third largest exporter of fossil fuels while facing escalating climate impacts, investigating how fossil fuel companies have maintained influence over public policy. His work integrates social-ecological systems theory, resilience thinking, and practical governance frameworks to address climate adaptation challenges. His publication record demonstrates a clear evolution from foundational work in rangeland management and complex adaptive systems toward urgent climate policy interventions. Early research established theoretical frameworks for understanding resilience in dryland ecosystems, while recent work focuses on transformation pathways, Indigenous engagement, and community-based adaptation strategies. A consistent thread throughout his career is the integration of diverse knowledge systems and the development of practical approaches for environmental governance in rapidly changing conditions. Abel has registered to supervise research students at ANU and participates in significant collaborative projects, including the current 'Partnering with local communities in regional Australia to increase resilience to flood events' (2022-2025). His high-impact publications, including the highly cited 'Resilience management in social-ecological systems' (1,120 Scopus citations) and 'From Metaphor to Measurement: Resilience of What to What?' (2,596 Scopus citations), demonstrate his foundational contributions to the field. Through his work with various research groups and projects, Abel has helped establish frameworks for understanding social-ecological systems and climate adaptation. His contributions to the Fenner School include advancing methodologies for integrating scientific and Indigenous knowledge systems, developing practical approaches to environmental governance, and critically examining the political economy of climate policy in Australia.

Michael LepechView profile

Professor

• Sustainable Infrastructure Design
• Civil Engineering
• Environmental Engineering
• +4 more

Michael Lepech is a Professor of Civil and Environmental Engineering and Senior Fellow at the Woods Institute for the Environment at Stanford University. His research focuses on integrating sustainability into civil engineering through quantitative assessment and multi-scale modeling, particularly via the Sustainable Integrated Materials, Structures, Systems (SIMSS) framework. He also leads the Stanford Center at the Incheon Global Campus (SCIGC) in South Korea, exploring smart city technologies for urban sustainability. Education : PhD in Civil and Environmental Engineering (2006), MBA in Finance and Strategy (2008) from the University of Michigan. Research Areas : Sustainable infrastructure design, biopolymer composites, life cycle assessment, digital twinning, smart city technologies, and multi-physics deterioration modeling. Leadership : Director of SCIGC, advancing research on smart and sustainable urban environments in Songdo, South Korea. His recent publications focus on biopolymer-bound composites, traffic signal optimization, and life cycle sustainability analysis. He has received recognition as a Senior Fellow at Stanford’s Woods Institute for environmental research.

Hamsa BastaniView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Healthcare Operations
• +5 more

Hamsa Bastani is an Associate Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania, with a secondary appointment in Statistics and Data Science. She co-directs the Wharton Healthcare Analytics Lab and serves as an Associate Editor for Operations Research, M&SOM and OR Letters. Her academic journey began with summa cum laude graduation from Harvard in 2012 with an A.M. in physics and A.B. in physics and mathematics. She completed her PhD in Stanford's Electrical Engineering department under Mohsen Bayati, followed by a Herman Goldstine postdoctoral fellowship at IBM Research. Professor Bastani's research focuses on developing novel machine learning algorithms for data-driven decision-making, with applications spanning healthcare operations, social good, and revenue management. Her work demonstrates particular expertise in sequential decision-making (bandits, reinforcement learning), learning from auxiliary data sources (transfer learning, meta-learning), and designing effective human-AI interfaces (interpretability, fairness). She has made significant contributions to understanding how AI systems affect and augment human behavior, with the goal of designing AI tools that help humans thrive. Her publications reveal a strong trend toward high-impact applications of machine learning in critical societal domains. A significant portion of her recent work focuses on healthcare applications, including optimizing health supply chains in low- and middle-income countries, designing clinical trial protocols, and creating targeted public health interventions. Another major theme examines the complex relationship between humans and AI systems, particularly how AI affects learning outcomes and decision-making processes. Her work frequently bridges theoretical advances with practical implementation, as evidenced by country-scale deployments in Greece and Sierra Leone. Wagner Prize for Excellence in Operations Research Practice (2021) Pierskalla Award for Best Paper in Healthcare (2021, 2019, 2016) Behavioral OM Best Paper Award (2021) Public Sector in OR Best Paper Award (2024) INFORMS Data Mining Best Paper Award (2022) Wharton Teaching Excellence Award (2019, 2020, 2021) Professor Bastani has advised numerous PhD students who have gone on to prominent positions, including Pia Ramchandani (Director of Responsible AI at PwC), Arielle Anderer (Assistant Professor at Cornell Johnson), and Kan Xu (Assistant Professor at ASU Carey). Her research has been supported by collaborations with national governments, including the Greek government where she co-designed Eva, the national-scale reinforcement learning system for targeted COVID-19 testing, and the Government of Sierra Leone where she improved patient access to essential medicines by nearly 20% via decision-aware learning. She has also conducted the first large field study deploying generative AI tutors in high school math classes. She leads the Wharton Healthcare Analytics Lab and serves on the Steering Committee for the Penn Center for Health Incentives and Behavioral Economics and on the statistics advisory committee for the AHA Food is Medicine Initiative. Outside academia, she serves on the Workday AI Advisory Board, demonstrating her commitment to translating academic research into practical applications.

J.D. JansenView profile

Professor

• Systems and Control Theory
• Subsurface Flow Mechanics
• Geothermal Energy
• +4 more

J.D. Jansen is a full Professor at Delft University of Technology (TU Delft) in the School of Civil Engineering & Geosciences, specializing in the Reservoir Engineering department. His research focuses on systems and control theory applied to subsurface flow mechanics, with applications in oil and gas production, geothermal energy, and induced seismicity. He actively contributes to academic networks through editorial roles, keynote presentations, and international collaborations. Active in computational geosciences (modeling, simulation, data analysis) Member of the Dutch Mining Council since 2016 Recipient of two Society of Petroleum Engineers awards in 2018 His work emphasizes optimization of subsurface processes, numerical modeling of porous materials, and seismicity mitigation. Recent publications highlight fault slip mechanics, benchmarking simulations, and stress pattern analysis in geothermal systems. Collaborations span geomechanics, reservoir engineering, and data assimilation domains. Scientific awards include: Distinguished Membership of the Society of Petroleum Engineers (2018) SPE Distinguished Achievement Award for Petroleum Engineering Faculty (2018) He leads research initiatives in induced seismicity, particularly in the Groningen Field, and contributes to model-based production optimization. Media engagements since 2020 demonstrate public outreach in energy transition topics.