جست‌وجوی استاد و پژوهشگر

Saeed Zolfaghariمشاهده پروفایل

استاد

• Operations Research
• Management Science
• Simulation Modelling and Analysis
• +۵ مورد دیگر

Saeed Zolfaghari is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also serves as Vice-President, Administration and Operations, demonstrating strong leadership in both academic and administrative domains. He holds a PhD from the University of Ottawa and is a licensed Professional Engineer (PEng). BSc: Isfahan University of Technology (1988) MSc: Iran University of Science and Technology (1991) PhD: University of Ottawa (1997) His research lies at the intersection of operations research, management science, and industrial engineering, with a focus on simulation modeling, loyalty programs, and productivity improvement. He investigates how businesses can design effective loyalty strategies and optimize operational systems using analytical and simulation-based models. His recent publications reveal a consistent trend in applying quantitative methods to real-world business problems, especially in evaluating the profitability of customer reward programs, optimizing scheduling in digital cinema, and improving supply chain decisions through multi-objective modeling. His work often employs game theory, goal programming, and efficiency analysis to solve complex industrial challenges. Scientific Awards: Fellow, Engineering Institute of Canada (2021) IIE Global Faculty Advisor Award (2012) Service Award, Canadian Operational Research Society (2011) Teaching Excellence Award, FEAS, Ryerson University (2007) Practice Prize Award, Canadian Operational Research Society (2006) Dr. Zolfaghari actively supervises graduate students and has contributed significantly to both theoretical and applied research. His work has been supported by recognition from professional societies, indicating strong impact in operations research and industrial engineering. He continues to contribute to innovation in system design and business analytics. He is affiliated with research initiatives in operations modeling and industrial optimization, likely leading or contributing to a research group focused on decision analytics and simulation. His administrative role further amplifies his influence on institutional research strategy and innovation.

Jonatan Echebarria Fernandezمشاهده پروفایل

مدرس

• Maritime Law
• Commercial Law
• European Union Law
• +۷ مورد دیگر

Dr Jonatan Echebarria Fernandez is an Honorary Lecturer at The City Law School, City, University of London. He previously held academic positions as Associate Professor of Law at BI Norwegian Business School and Lecturer in Law at City. His expertise lies in Maritime Law, Commercial Law, European Union Law, and Environmental Law, with a strong international research and teaching background across institutions in Denmark, Spain, Norway, and the UK. His educational background includes a PhD in Law from Copenhagen Business School (2019), two LLMs in EU Law and Shipping Law from Spanish universities, and a Bachelor of Laws from the University of Deusto. He has pursued advanced courses at Harvard, Columbia, the College of Europe, and the Hague Academy, and holds a PG Cert in Academic Practice and Fellowship of the Higher Education Academy (FHEA). Dr Echebarria Fernandez's research focuses on maritime disputes, conflict of laws, and the legal impacts of marine pollution, especially on vulnerable coastal communities. His recent publications analyze jurisdiction in shipping contracts, Brexit’s effect on maritime law, and the EU’s response to the COVID-19 pandemic. His forthcoming book with Routledge examines jurisdiction and arbitration in sea carriage contracts. His publications span journals such as the Journal of Maritime Law and Commerce , European Papers , and Cuadernos de Derecho Transnacional , as well as book chapters with Routledge. The works reflect a clear trend toward EU regulatory frameworks, maritime liability, and crisis-related legal adaptations, particularly in transport and trade law. Fellowship of the Higher Education Academy (FHEA) Basque Government’s Internationalisation Grant (2011) Claes Isacson Scholarship (2016, Gard AS) Accreditation as Associate Professor (ANECA, 2021) Basic Pedagogical Competence, BI Norwegian Business School (2022) His research has received funding from foundations such as Otto Mønsteds Fond, Reinholdt W. Jorck og Hustrus Fond, and Oticon fonden. He has advised on policy and trade matters for the Spanish Permanent Representation to the EU, the European Investment Bank, and the Bilbao Port Authority. He has also been active in academic networks, presenting at conferences in Gothenburg, Hamburg, and Bilbao. He is a member of the Spanish Maritime Law Association and the Spanish Association of International Law Professors (AEPDIRI).

• Clinical Pharmacology
• Geriatric Medicine
• Health Inequalities
• +۶ مورد دیگر

Professor Adam Todd is a faculty member at Newcastle University, specializing in clinical pharmacology and geriatric medicine. His research focuses on optimizing medication use in older adults, particularly deprescribing practices, polypharmacy management, and healthcare disparities. He has led studies exploring palliative care decision-making, vaccination equity, and the role of community pharmacies in public health. Todd's work frequently addresses systemic inequalities in healthcare access and outcomes, with notable contributions to understanding medication adherence and unmet needs in cancer patients. His collaborative projects span multidisciplinary teams and include randomized controlled trials evaluating interventions like smoking cessation programs and psychological support services. Todd also contributes to policy discussions on pharmacy care distribution and the impact of urban development on health equity. Education & Affiliations: While specific educational details are not provided, Todd's extensive publication record indicates a strong academic background in pharmacy and clinical research. He collaborates with multiple departments at Newcastle University and external institutions, including Public Health England and other national healthcare bodies. Research Highlights: Todd’s work bridges clinical practice and public health, with key themes including: - Deprescribing strategies in frail elderly populations - Socioeconomic factors influencing cancer treatment access - Improving medication safety in community pharmacies - Leveraging technology for public health surveillance Grants & Collaborations: Todd leads and participates in funded projects addressing polypharmacy, palliative care, and health disparities. Notable collaborations include work with Professors Clare Bambra (health inequalities) and Andy Husband (pharmacy practice). Labs/Teams: Active in Newcastle’s Institute of Health & Society and the School of Pharmacy & Biomedical Sciences, Todd contributes to interdisciplinary initiatives like the PULSE cohort study and the PharmOA osteoarthritis management project.

Wendell Gillandمشاهده پروفایل

دانشیار

• Logistics
• Operations Optimization
• Quantitative methods
• +۴ مورد دیگر

Wendell Gilland is an Associate Professor of Operations and Associate Dean overseeing the Evening Executive MBA, Weekend Executive MBA, and Charlotte Executive MBA Programs at the University of North Carolina's Kenan-Flagler Business School. He holds a PhD and MBA from Stanford University and an AB from Harvard University. His research focuses on optimizing operations through multi-channel strategies, supply chain resilience, and healthcare operations. Key areas include inventory prepositioning for humanitarian logistics, cancer screening efficiency, and hospital staffing optimization. Gilland combines academic rigor with industry experience from firms like Monitor Company and CSC Index, advising Fortune 500 clients on strategic planning and operational improvements. His work spans diverse industries including healthcare, retail, and disaster relief, emphasizing practical solutions for complex operational challenges. With over 25 publications, his recent research highlights include UNICEF supply chain strategies (2021), healthcare access optimization (2015-2019), and supply risk mitigation frameworks (2010-2011). Gilland is recognized as an award-winning teacher in operations management, specializing in supply-chain management and decision-making models. His consulting projects span global corporations like Apple, Intel, and Sony, bridging academic theory with real-world business challenges.

• Pension Law
• Family Law
• Insolvency Law
• +۳ مورد دیگر

Professor Clement Marumoagae is a Professor at the University of the Witwatersrand's School of Law, specializing in Pension Law, Family Law, Insolvency Law, Procedural Law, Competition Law, and Labour Law. He holds qualifications including LLB, LLM, PhD from the University of Cape Town, and is a practicing attorney. He lectures at both undergraduate and postgraduate levels and has held roles such as former Councillor of the Legal Practice Council and inaugural Chair of its Education Committee. Currently, he serves as an academic member of the Judicial Service Commission and advises the South African Law Reform Commission on marriage law reforms (Project 144). His research focuses on eradicating barriers to legal profession entry and improving retirement fund governance. Notable roles include membership of the Companies Tribunal (2023–2028) and acting as a High Court Judge. Education: LLB, LLM, PhD (University of Cape Town), Dip(ILP), PDCL, PDIE. Research Interests: Pension law, family law, insolvency law, procedural law, competition law, and labor law. His work addresses issues like death benefits regulation, insolvency rehabilitation, and legislative barriers in legal practice. Recent publications (2023–2025) explore topics such as pension fund governance, anticompetitive clauses, and judicial procedure reforms. Professional Contributions: Member of the Judicial Service Commission, advisory roles in legal reform, and author of The Survivor’s Guide for Candidate Attorneys . Engaged in initiatives to enhance legal accessibility for underprivileged graduates and improve retirement fund dispute resolution.

Gregary Princeمشاهده پروفایل

عضو هیئت علمی

• Electrical Engineering
• Digital Signal Processing
• RF and Microwave Systems
• +۷ مورد دیگر

Gregary Prince is an Adjunct Teaching Professor in the Department of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI). He holds a BS from WPI (2006), an MS (2009), and a PhD (2018) in Electrical Engineering from Boston University. His professional roles include Engineering Director, Chief Engineer, and Engineering Fellow, with expertise in embedded systems, RF design, cryptography, and technical leadership. Education : BS in Electrical and Computer Engineering, WPI (2006) MS in Electrical Engineering, Boston University (2009) PhD in Electrical Engineering, Boston University (2018) Prince's research focuses on digital signal processing, visible light communication (VLC) systems, RF/microwave engineering, and system architecture. His work emphasizes indoor positioning systems, latency optimization in VLC networks, and cooperative transmission strategies. He has contributed to video analytics in retail environments and developed methodologies for carrier synchronization in autonomous transmitter networks. His articles (2005–2018) explore topics such as hybrid RSS/AoA algorithms, distributed beamforming, and state estimation in VLC networks. No scientific awards are explicitly mentioned in the text. Prince has advised no formally listed students but teaches graduate courses like Stochastic Processes, Digital Communications, and Deterministic Linear System Theory. His professional experience spans technical management, proposal development, and Agile/Kanban methodologies. No lab or team affiliations are detailed in the provided text.

Neil Robinsonمشاهده پروفایل

مدرس ارشد

• Dark Tourism
• COVID-19 Impacts on Society
• Services Marketing
• +۵ مورد دیگر

Dr Neil Robinson is a Senior Lecturer in Marketing at Edge Hill University's Business School, where he has been since June 2021. He previously held academic roles at the University of Salford, focusing on marketing and business education. His research interests span dark tourism, post-pandemic societal impacts, services marketing, and the intersection of technology with tourism and hospitality. He is the programme leader for BSc (Hons) Marketing, BSc (Hons) Marketing with Advertising, and BSc (Hons) Marketing with Digital Communications. Dr Robinson earned his PhD from the University of Salford (2015), exploring motivations for visiting dark tourism sites. He is affiliated with the SustainNET Community Owned Businesses Research Group and actively contributes to academic conferences, including presentations on dark digital places and post-pandemic place marketing strategies. His research trends emphasize post-COVID recovery, dark tourism innovation, and the evolving role of technology in hospitality and retail sectors. Collaborations focus on rural tourism, charity shops' resilience, and green engagement strategies. Dr Robinson has no listed scientific awards but is recognized for his impactful case studies on tourism adaptation and community-driven initiatives. His advising and grant activities are currently unspecified. He contributes to research networks exploring urban-rural contrasts in dark tourism and digital place-making, aligning with his advocacy for sustainable and culturally aware marketing practices.

Tao Jiangمشاهده پروفایل

دانشیار

• Consumer Behaviour
• Culture and Consumption
• International Marketing
• +۴ مورد دیگر

Tao Jiang is an Associate Professor of Marketing at Leeds University Business School, University of Leeds, where he contributes significantly to teaching and research. He is based in the Department of Marketing and currently serves as Head of First/Second Year (Marketing). His academic expertise spans consumer behaviour, international marketing, and retailing, with a particular focus on cultural influences on consumption and business relationships. His educational background includes an MBA from Leeds University Business School, a BA in International Economics and Technology Co-operation from ShenYang University, and a Postgraduate Certificate in Teaching Practice from Huddersfield University. He is a Fellow of the Higher Education Academy and a member of the Chartered Institute of Marketing. Tao Jiang's research centers on consumer behaviour, especially how culture shapes individual consumption patterns, retail experiences, and business-to-business relationship dynamics. His work intersects with international marketing strategies and the evolving landscape of online and high-street retailing, reflecting both academic rigor and practical relevance drawn from his industry experience. Although no recent publications are currently listed in the available content, his research interests suggest ongoing engagement with interdisciplinary studies in marketing, cultural studies, and consumer psychology. Chartered Institute of Marketing Fellow of Higher Education Academy Tao Jiang has extensive teaching experience across undergraduate and postgraduate levels, delivering modules such as International Marketing, Consumer Behaviour, International Distribution Strategy, and Professional Skills Development. His prior industrial experience as a senior marketing manager and in various managerial roles in operations and supply chain management in Hong Kong enriches his pedagogical and research approach. There is no public mention of research grants or supervised students in the provided information. He is actively involved in academic leadership as Head of First/Second Year (Marketing), contributing to curriculum development and student education strategy within the Department of Marketing. His integration of practical industry insights with academic scholarship positions him as a key figure in marketing education at the University of Leeds.

• Statistical Learning
• Classification
• Unsupervised Learning
• +۷ مورد دیگر

Vincent Vandewalle is a Professor at Université Côte d'Azur, actively contributing to research in artificial intelligence and statistical learning. He is affiliated with the MAASAI (Models and Algorithms for Artificial Intelligence) team and the Jean Alexandre Dieudonné Laboratory, where his work bridges theoretical modeling and practical applications in domains such as healthcare and retail. His primary research focus lies in statistical learning , particularly in classification tasks using generative models . He specializes in model-based clustering for heterogeneous data , aiming to uncover multiple clustering viewpoints that enhance data understanding and decision-making. His current work involves adapting these models to deep learning frameworks, enabling more scalable and expressive representations. The research conducted by Vincent Vandewalle targets the discovery of meaningful structures in complex, multi-source data. By designing advanced generative models, he enables systems to reveal diverse patterns across varied data types and distributions. These methods are applied in collaborative projects with doctors and retailers, demonstrating real-world impact in both medical and commercial domains. Professor, Université Côte d'Azur Member, MAASAI Research Team Affiliated Researcher, J.A. Dieudonné Laboratory Vincent Vandewalle has made significant contributions to the foundational theory of clustering through probabilistic modeling. His work supports integrative computational approaches, aligning with broader initiatives in AI for medicine and smart territories. While no specific awards are listed in the provided text, his role as a Chairholder at the 3IA institute reflects recognition of his expertise and leadership in AI research. He mentors researchers within the MAASAI team and contributes to the doctoral and postdoctoral seminar programs. Although specific students and grants are not mentioned, his leadership in a major AI chair suggests involvement in guiding PhD candidates and securing research funding. His collaborative approach with external partners indicates active engagement in interdisciplinary grant projects. Vincent Vandewalle is a core member of the MAASAI research team at Université Côte d'Azur, which focuses on developing models and algorithms for artificial intelligence. The team operates within the broader ecosystem of the 3IA Côte d'Azur Institute, an Interdisciplinary Institute of Artificial Intelligence, and collaborates closely with the J.A. Dieudonné Laboratory, a joint unit between CNRS and the university, ensuring strong mathematical and computational foundations for his work.

• Marketing
• Market Research
• International Marketing
• +۵ مورد دیگر

Gloria Berenguer Contreras is a Professor in the Department of Marketing and Market Research at the Faculty of Economics, University of Valencia, Spain. She is affiliated with the Inter-university Institute of International Economics (IEI) and actively contributes to two research groups: MARKINADIS (Marketing Research, Internationalization, and Distribution Channel Management) and INNOMARK (Marketing and Innovation in Retailing and Services). Her research focuses on key areas within marketing, including market research, internationalization strategies, distribution channels, and innovation in retail and service sectors. These interests are reflected in her long-standing involvement with specialized research groups and her academic leadership at the university. Although no recent publications are listed in the provided text, her academic work spans decades, beginning with her doctoral research in social marketing. Her expertise contributes significantly to both academic and applied marketing domains. Scientific Awards: Advising and Grants: Information regarding graduate student supervision, funded research projects, or grants is not available in the current text. However, her role in leading and participating in structured research groups suggests active involvement in collaborative research initiatives. Labs and Teams: Gloria Berenguer is a core member of two prominent research groups: MARKINADIS and INNOMARK. These teams focus on advancing knowledge in marketing research, international business expansion, distribution systems, and innovation in service-oriented industries.

Asieh Abolpour Mofradمشاهده پروفایل

پژوهشگر

• Machine Learning
• Neural Networks
• Associative Memory
• +۷ مورد دیگر

Asieh Abolpour Mofrad is a researcher at the Department of Informatics, University of Bergen (UiB), with a dual PhD background in behavioral sciences and informatics. She is currently engaged in the Retail Fresh project, leveraging machine learning to reduce food waste in the retail sector in collaboration with Link Retail. Previously, she contributed to the DRONE (Drug Repurposing for Neurological Diseases) project at the Department of Global Health and Public Health, UiB, where she applied machine learning to Norwegian health registry data to investigate Parkinson's disease treatments. Her academic credentials include two doctoral theses: one from OsloMet (2021) on the integration of behavior analysis and machine learning for modeling stimulus equivalence, and another from UiB (2021) on clique-based neural associative memories. Her research bridges artificial intelligence, cognitive modeling, neural networks, and public health applications. Her research interests span machine learning, neural associative memory, reinforcement learning, cognitive modeling, health informatics, and drug repurposing. She employs computational frameworks such as projective simulation and tournament-based neural networks to model complex cognitive and biological phenomena. The analysis of her recent publications reveals a consistent focus on machine learning applications in both cognitive science and healthcare. Her work includes modeling stimulus equivalence, designing neural memory architectures, solving stochastic optimization problems, and analyzing large-scale health data for neurological disease risk. These efforts reflect interdisciplinary innovation, combining theoretical computer science with real-world applications in psychology and medicine. Scientific Contributions: Developed the Enhanced Equivalence Projective Simulation (E-EPS) framework for modeling derived relations in behavior analysis. Designed tournament-based neural networks for efficient sequence storage and bidirectional retrieval. Applied machine learning to large-scale health registries to identify drug classes associated with Parkinson’s disease risk. Contributed to adaptive learning systems based on flow theory for educational optimization. She has advised no publicly listed students but collaborates extensively with researchers across institutions. Her work is supported by interdisciplinary research projects and she actively disseminates code via GitHub, particularly in Jupyter notebooks for reproducibility. She is affiliated with research teams in informatics and global health at UiB, contributing to both theoretical and applied machine learning initiatives. Laboratories and Research Teams: Department of Informatics, University of Bergen – Machine Learning and Neural Systems group. DRONE Project – Interdisciplinary team on drug repurposing using AI and health data. Retail Fresh Project – AI for sustainable retail, in collaboration with industry partners.

• Sensory Marketing
• Consumer Neuroscience
• Brand Management
• +۵ مورد دیگر

Prof. Dr. Patrick Hehn is a faculty member at Harz University of Applied Sciences , specializing in Economics with research focuses on sensory marketing, consumer neuroscience, and fragrance effects on behavior. Professor of Economics Harz University of Applied Sciences Research on multisensory consumer experiences His research interests span brand management, sensory product research, and the application of immersive technologies in consumer studies. He investigates crossmodal interactions (e.g., color influencing taste perception), scent-based marketing strategies, and how olfactory cues affect brand evaluation and social perception. Recent research trends show a strong emphasis on multisensory integration in retail environments, fragrance marketing across sectors, and neuroscientific approaches to consumer behavior. His work explores how scents can shape product evaluations, influence time perception, and enhance brand experiences through both conscious and unconscious sensory processing. Scientific contributions include: 2024: NPS methodology for product discrimination 2022: GMO perception in dairy innovations 2021: Fragrance communication at events 2019: VR/AR in sensory testing 2014: Scent impact on product evaluations 2007: Olfactory brand reinforcement Awarded with the Förderpreis für Jungsensoriker (2017), he has pioneered olfactory priming research and developed innovative approaches for context simulation in market research. His work extends to European Sensory Network collaborations and consulting for Monell Chemical Senses Center .

• Intellectual Property Economics
• Patent Policy
• Competition Economics
• +۴ مورد دیگر

Nancy Theresa Gallini is a Professor at the Vancouver School of Economics, University of British Columbia, Vancouver, Canada. Her extensive academic career spans multiple decades with significant contributions to economic theory and policy analysis in intellectual property, competition economics, and innovation studies. Dr. Gallini's research expertise encompasses: Intellectual property rights systems and their economic implications Patent pool formation and standard-setting processes Competition policy in technology-intensive markets Economics of antibiotic resistance and pharmaceutical innovation Industrial organization theory and applications Her scholarly work demonstrates a sophisticated integration of theoretical economic modeling with practical policy applications, particularly in analyzing how intellectual property frameworks affect innovation incentives and market competition. Recent publications reveal an evolving research trajectory that increasingly addresses critical public health issues through the lens of economic analysis, especially regarding antibiotic resistance and pharmaceutical market dynamics. Dr. Gallini's academic impact is substantial, as evidenced by her recognition among the top 5% of economics authors according to multiple citation metrics including weighted citation counts, recursive impact factors, and co-authorship network analysis. Her work has been consistently featured in NEP (New Economics Papers) announcements across multiple specialized fields including Industrial Competition, Innovation, Intellectual Property Rights, and Technology and Industrial Dynamics. Her research methodology typically combines rigorous theoretical frameworks with empirical analysis, contributing significantly to both academic discourse and policy formulation in intellectual property and competition law. Gallini's collaborative work with scholars like Suzanne Scotchmer, Mukesh Eswaran, and Joseph Farrell has shaped contemporary understanding of patent systems and their relationship to market competition.

Anna Wolfمشاهده پروفایل

پژوهشگر

• Economic Analysis
• Industry Analysis
• Macroeconomic Forecasting
• +۵ مورد دیگر

Dr. Anna Wolf serves as Specialist for Industry Analyses at the ifo Center for Innovation Economics and Digital Transformation since January 2021, following her role as Specialist for Forecasts and Industry Analyses at the ifo Center for Macroeconomics and Surveys (2012-2020). Her expertise spans economic analysis, industry studies, and business climate assessment with particular focus on retail, manufacturing, and crafts sectors across the German economy. Her academic foundation includes: PhD (Dr. oec. publ.) in Economics from Ludwig-Maximilians-Universität München (2005-2009) Diploma in Statistics and Developmental Sociology (1996-2002) with thesis on "Factors Influencing Subjective Poverty in Russia" State-certified translator for Russian language from Universität Erlangen-Nürnberg Study abroad at National University of Ireland, Galway (2000-2001) Dr. Wolf's research centers on macroeconomic forecasting, industry-specific analysis, and digital transformation impacts. She has established herself as a leading expert on business climate indicators, particularly for the chemical industry, with regular commentary on economic trends. Her recent work examines blockchain adoption (rising from 6.9% to 9.7% of German companies 2023-2025) and AI implementation (13.3% of companies as of 2023), analyzing how emerging technologies reshape business processes. Analysis of her publication record reveals consistent focus on real-time economic challenges, from the global financial crisis through pandemic disruptions to current geopolitical tensions. Her research methodology combines quantitative economic analysis with sector-specific surveys, producing actionable insights for policymakers and industry stakeholders. The thematic evolution shows increasing attention to digital transformation alongside traditional macroeconomic forecasting. Her major research projects include: "Web3-Durchdringung in der deutschen Wirtschaft" (2023), commissioned by Hanseatic Blockchain Institute e.V. for Federal Ministry for Economic Affairs and Climate Action "Gemeinschaftsdiagnose 2016-2018" funded by Federal Ministry for Economic Affairs and Energy As a prominent economic commentator, Dr. Wolf regularly interprets business climate data for media outlets and policymakers, bridging academic research with practical business applications through her industry expertise and methodical analysis approach.

Hamsa Sridhar Bastaniمشاهده پروفایل

دانشیار

• Machine Learning Algorithms
• Data-Driven Social Good
• Human-AI Interface
• +۸ مورد دیگر

Hamsa Sridhar Bastani is an Associate Professor of Operations, Information, and Decisions (OID) as well as Statistics and Data Science at the Wharton School of the University of Pennsylvania, where she co-directs the Wharton Healthcare Analytics Lab. Her academic journey includes graduating summa cum laude from Harvard in 2012 with an A.M. in physics and an A.B. in physics and mathematics, completing her PhD in Stanford's Electrical Engineering department under Mohsen Bayati, and spending a year as a Herman Goldstine postdoctoral fellow at IBM Research. Dr. Bastani's research focuses on developing novel machine learning algorithms for learning and optimization, including methods for sequential decision-making (bandits, reinforcement learning, active learning), learning from auxiliary data sources (transfer learning, meta-learning, surrogates), and designing effective human-AI interfaces (interpretability, fairness). She is passionate about applying machine learning and AI to tackle high-impact societal problems across domains like healthcare, public policy, and education. Her recent work explores how AI systems affect and augment human behavior, with the goal of designing AI tools that help humans thrive. She has collaborated with national governments to deploy algorithms at country scale for improving public health outcomes, including working with the Government of Greece to nearly double the efficacy of their national border COVID-19 screening via reinforcement learning, and with the Government of Sierra Leone to improve patient access to essential medicines by nearly 20% via decision-aware learning. She also co-led the first large field study deploying generative AI tutors in high school math classes, demonstrating critical risks for human overreliance and deskilling. Dr. Bastani's publications reveal trends in applying advanced machine learning techniques to real-world problems, particularly in healthcare and social impact domains. Her work often combines theoretical rigor with practical implementation through randomized controlled trials and field evidence. Recent publications show increasing focus on the human-AI interface, especially examining risks of generative AI in educational contexts and developing frameworks for responsible human-AI collaboration. Her research has been published in leading outlets including Nature, Management Science, Operations Research, and PNAS. Scientific Awards Wagner Prize for Excellence in Operations Research Practice (2021) INFORMS Pierskalla Award for Best Paper in Healthcare (2021, 2019, 2016) Public Sector in OR Best Paper Award (2024) INFORMS Data Mining Best Paper Award (2022) Wharton Teaching Excellence Awards (2021, 2020, 2019) George Nicholson Best Student Paper Competition (2016) MSOM Best Student Paper Competition (2016, 2020) National Science Foundation Fellow (2012-2017) As an advisor, Dr. Bastani has mentored numerous PhD students who have gone on to prestigious positions including Assistant Professors at Cornell Johnson, ASU Carey, and UC Berkeley Haas, as well as Director of Responsible AI at PwC. She has secured significant research funding through collaborations with government entities and has served as an Associate Editor for Operations Research, M&SOM, and OR Letters. Her work has been supported by partnerships with national governments and organizations like the Penn Center for Health Incentives and Behavioral Economics. She primarily teaches OIDD 321: Introduction to Management Science, for which she received multiple Wharton Teaching Excellence Awards. Dr. Bastani co-directs the Wharton Healthcare Analytics Lab, which focuses on applying data science and machine learning to healthcare challenges. She also 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, connecting her research with industry applications.