Find Academic Supervisors

• Strategic International HRM
• Multinational Companies
• HRM in Central Europe
• +7 more

Prof. Marzena Stor is a Professor of Strategic International HRM and Head of the Department of Human Resources Management at Wrocław University of Economics in Poland. Her work focuses on HRM practices in multinational companies (MNCs), particularly in Central Europe, emphasizing how HR strategies influence organizational performance through factors like managerial competencies, employee development, and human-centric approaches. She leads empirical research on labor market dynamics, talent management, and the mediating roles of HR outcomes in crisis and non-crisis contexts. Research Interests: - HRM in Multinational Companies - Cross-Cultural HRM - AI & Digital Transformation in HR - Managerial Competency Development - Sustainable HR Practices - Employee Engagement & Retention Recent Work Trends: Her 2023-2025 publications highlight the mediating role of HR outcomes in linking managerial/employee development to financial and operational performance, with a focus on Central European MNCs. She also explores labor shortages in V4 countries and the impact of human-centric paradigms on organizational success. Cooperation & Grants: Open to socio-economic collaborations, she advises doctoral students in international HRM and has conducted studies funded by EU regional initiatives. Her work bridges academic research and business practice, often involving multinational corporations in Poland and CEE. Labs/Teams: Leads research teams at the Department of Human Resources Management, collaborating with international partners on large-scale HRM surveys and MNC subsidiary studies.

• Cybersecurity
• Electronic Identity
• Network Security
• +7 more

Antonio Lioy is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin. He serves as the Cyber Security Representative for the university in national and European government collaborations, is a member of the SmartData@PoliTO interdepartmental center, and acts as Scientific Advisor for the DRIVESEC partnership. His research is deeply rooted in cybersecurity, electronic identity, network and web security, and quantum-resistant systems. His research interests focus on cybersecurity , electronic identity , network security , web security , and quantum cryptography . He leads the TORSEC Security Group and conducts research in LAB 7, with a strong emphasis on trusted computing, post-quantum cryptography, IoT security, and secure network infrastructures. His work aligns with ERC sectors in computer systems and cryptology, and supports UN SDGs on innovation and sustainable cities. His recent publications show a strong trend toward post-quantum cryptography , remote attestation , trusted execution environments , and secure network virtualization . These works appear in top venues such as IEEE, ACM, and IFIP conferences, with a focus on securing future digital infrastructures against emerging threats. Themes include integrity management in softwarized networks, standard-based attestation, and quantum-resistant PKI strategies. He has supervised numerous PhD students, including Davide Colaiacomo, Francesco Vaccaro, Flavio Ciravegna, Grazia D'Onghia, Lorenzo Ferro, Francesco Settanni, Enrico Bravi, Silvia Sisinni, Luca Mannella, and Ignazio Pedone, whose research spans cybersecurity, quantum computing, and IoT. He leads multiple high-profile research projects such as Q-FENCE, QUBIP, SERICS, and FISHY, funded by Horizon Europe and national programs, demonstrating significant grant acquisition and leadership. He is actively involved in research labs and teams, primarily the TORSEC - Security Group (DAUIN) and LAB 7 - Research Laboratory (DAUIN) , which focus on applied cybersecurity research. His projects often involve collaboration with industry and government bodies, emphasizing real-world impact in secure digital identity, critical infrastructure protection, and quantum-safe transitions.

Sanjeev DewanView profile

Professor

• Information Systems
• Economics of Information Technology
• Digital Platforms
• +7 more

Sanjeev Dewan is a Professor of Information Systems and Associate Dean of Masters Programs at the Paul Merage School of Business, University of California, Irvine. He also serves as Faculty Director of the Master of Science in Business Analytics program. Prior to joining UCI in 2001, he held faculty positions at the University of Washington and George Mason University. PhD, University of Rochester MS, University of Rochester Bachelor of Technology, Indian Institute of Technology, Delhi His research focuses on the economics of digital platforms , social and mobile analytics , and the valuation of technology investments . He investigates how information technology creates business value, impacts consumer behavior, and influences firm performance. His work spans electronic markets, Web 2.0 technologies, IT productivity, and the digital divide. The most recent publications reveal a strong emphasis on empirical analysis of digital platforms , including studies on gender bias in open source communities, quality certification in the sharing economy (e.g., Airbnb), personalized ranking in app stores, and mobile health applications. His research frequently uses large-scale datasets to examine behavioral patterns, market dynamics, and the economic implications of IT innovations. Faculty Service Award for 2023-24, UCI Paul Merage School of Business Best Paper Award, INFORMS 2019 e-Business Cluster Faculty Service Award for 2016-17, UCI Paul Merage School of Business Best Paper Award, INFORMS Conference on Information Systems and Technology (2009) INFORMS Service Award (2009) INFORMS Certificate of Appreciation (2008) Beta Gamma Sigma Honor Society (1991) University of Rochester Fellowship (1985–1990) Sanjeev Dewan has advised numerous PhD students who have secured faculty positions at leading institutions such as the University of Wisconsin-Madison, HKUST, Penn State, and the University of Hong Kong. His editorial service includes senior editor roles at Information Systems Research and associate editor at Management Science . He has also chaired tracks at ICIS and served as program co-chair for PACIS. There is no indication of external grant funding in the provided text, but his sustained publication record and leadership roles suggest significant research activity and institutional support. He is actively involved in academic leadership and research dissemination, contributing to major conferences and editorial boards. His work bridges theory and practice, particularly in digital platform ecosystems and analytics-driven decision-making.

Retsef LeviView profile

Professor

• Food Supply Chain Analytics
• Supply Chain Optimization
• Health Systems
• +7 more

Retsef Levi is the J. Spencer Standish (1945) Professor of Operations Management at the MIT Sloan School of Management, affiliated with the MIT Operations Research Center. He co-directs the Leaders for Global Operations (LGO) Program. His work focuses on data-driven decision models for healthcare systems, supply chain optimization, and risk management. Levi holds a PhD in Operations Research from Cornell University and has led industry collaborations with major hospitals and organizations like the FDA and Walmart Foundation. Education: PhD in Operations Research, Cornell University, 2005 Bachelor’s in Mathematics, Tel-Aviv University, 2001 Research Interests: Levi’s research addresses complex decision-making under uncertainty in healthcare, supply chains, and logistics. Key areas include food safety analytics, risk-based sampling, and predictive modeling for zoonotic diseases. He designs algorithms for inventory control, appointment scheduling, and healthcare resource allocation. Articles Overview: Recent work spans AI-driven epidemiological models, supply chain cybersecurity, and agricultural market interventions. His articles emphasize practical applications of operations research in healthcare and public health. Awards: NSF Career Grant INFORMS Optimization Prize (2008) Wagner Prize (2013) Harold W. Kuhn Award (2016) Advising & Grants: Advised 10 PhD students and 34 master’s students. Led multi-million-dollar projects like the Walmart Foundation initiative for China’s food safety. Active in hospital process optimization and FDA risk management contracts. Labs & Teams: Runs MIT’s Food Supply Chain Analytics and Sensing Initiative, collaborating with global partners on predictive risk tools and healthcare analytics.

Wenxuan ZhangView profile

Assistant Professor

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Multilingual Language Models
• +5 more

Dr. Wenxuan Zhang is a tenure-track Assistant Professor at the Information Systems Technology and Design (ISTD) Pillar of Singapore University of Technology and Design (SUTD), supported by the prestigious SUTD Assistant Professorship (SAP) award. He holds a PhD from The Chinese University of Hong Kong and previously worked as a research scientist at Alibaba Group Singapore. His research focuses on advancing large language models (LLMs) to be both inclusive (supporting multilingual capabilities) and trustworthy (ensuring safety and robustness). Key projects include SeaLLMs (specialized for Southeast Asian languages), Babel (serving 90% of global speakers), and M3Exam (LLM evaluation framework). Education: PhD in Computer Science, The Chinese University of Hong Kong Previous roles: Research Scientist at Alibaba Singapore (2022) Research Interests: Multilingual LLMs, AI safety, model evaluation, and cross-lingual adaptation. He leads projects addressing LLM trustworthiness through safety mechanisms and fair evaluation practices. Awards & Recognition: SUTD Assistant Professorship (2025) Alibaba Star (2022) ITU Best Innovate for Impact Award (2024) Service & Leadership: Area Chair for NeurIPS 2025, ACL 2025, and multiple other top conferences. Actively contributes to program committees for conferences like ICLR and EMNLP. Current Projects: Multilingual LLMs, model compression, safety frameworks, and evaluation methodologies. Openings for PhD/Postdoc researchers in these areas.

Ning LuView profile

Professor

• Unsaturated Soil Mechanics
• Vadose Zone Hydrology
• Slope Stability
• +7 more

Ning Lu is a Professor in the Department of Civil and Environmental Engineering at the Colorado School of Mines, College of Engineering and Computational Sciences. His work focuses on fundamental soil physical processes in variably saturated porous media, with applications in geotechnical and environmental engineering. Research Interests: Dr. Lu's research spans unsaturated soil mechanics , vadose zone hydrology , slope stability , and soil-water interaction . He investigates fluid flow, chemical transport, heat transfer, stress, and deformation across scales—from atomic potentials to engineering-scale behavior. His work addresses critical problems such as expansive soil damage, nuclear waste containment, and shallow landslides induced by rainfall. His recent publications (2016–2024) reflect a cohesive research program advancing the theoretical foundations of soil physics. Key themes include re-evaluating classical concepts like pore water pressure, developing unified models for soil water retention and hydraulic conductivity, and introducing suction stress as a critical variable for slope instability prediction. These works appear in leading journals such as the Journal of Geotechnical and Geoenvironmental Engineering and Reviews of Geophysics , indicating sustained high-impact contributions to the field. Scientific Awards: Karl Terzaghi Award, American Society of Civil Engineers, 2023 Norman Medal, American Society of Civil Engineers, 2021 Maurice Biot Medal, American Society of Civil Engineers, 2017 Ralph B. Peck Medal, American Society of Civil Engineers, 2017 Practice Paper of the Year Award, GTJ, ASTM, 2016 J.J. Croes Medal, American Society of Civil Engineers, 2010 Advising and Grants: While specific students and grants are not listed, Dr. Lu has authored two influential textbooks— Unsaturated Soil Mechanics (2004) and Hillslope Hydrology and Stability (2012)—indicating significant educational leadership and mentorship. His service on the National Academies committee for Spirit Lake/Toutle River system (2016–2017) reflects engagement in national-level environmental and engineering policy. Labs and Teams: Although no specific lab or team name is provided, his research program involves experimental, theoretical, and computational approaches to soil physics, likely supported by a research group at Colorado School of Mines.

Ryan K. McBainView profile

Adjunct Professor

• Health Economics
• Mental Health and Illness
• HIV/AIDS
• +9 more

Ryan K. McBain is a Senior Policy Researcher at the RAND Corporation and an Adjunct Professor of Policy Analysis at the RAND School of Public Policy. His work focuses on designing and evaluating health policies targeting vulnerable populations, including those affected by mental health conditions, HIV/AIDS, homelessness, and poverty. He employs methodologies such as econometric analysis, cost-effectiveness modeling, and qualitative research. Internationally, he collaborates with organizations like the World Bank, WHO, and Partners In Health in sub-Saharan Africa and Haiti. McBain holds a D.Sc. and M.Sc. in Global Health (Health Economics & Policy Analysis) from Harvard University and a B.A. in Psychology from Gordon College and Oxford University. His research emphasizes telehealth trends, mental health crisis systems (e.g., 988 hotline preparedness), and the intersection of housing and healthcare access. He advocates for evidence-based solutions to address systemic inequities in healthcare delivery and advocates caution in leveraging AI for mental health interventions. Education: D.Sc. and M.Sc. in Global Health from Harvard University; B.A. in Psychology from Gordon College and Oxford University. Key Research Themes: Mental Health Policy, HIV/AIDS Programs, Telehealth Expansion, Homelessness Solutions. McBain’s recent work includes analyzing psychiatric bed shortages, evaluating permanent supportive housing programs, and assessing the competency of AI models in mental health contexts. He emphasizes interdisciplinary collaboration to bridge gaps between research and policy implementation.

Michael PyrczView profile

Professor

• Subsurface Data Analytics
• Geostatistics
• Machine Learning
• +3 more

Michael Pyrcz is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering and holds the rank of Associate Professor in the Jackson School of Geosciences at the University of Texas at Austin. He is the recipient of the B. J. Lancaster Professorship in Petroleum Engineering and the George H. Fancher Centennial Teaching Fellowship in Petroleum Engineering. His research focuses on subsurface data analytics, geostatistics, and machine learning applications in energy systems and CO2 sequestration. Pyrcz teaches widely, including through online lectures and GitHub workflows, and has authored over 50 peer-reviewed publications and a textbook on spatial data analytics. His work integrates machine learning with geoscience challenges, such as uncertainty quantification in reservoir modeling and CO2 storage site evaluation. He leads initiatives in energy data analytics through the Freshman Research Initiative and collaborates with industry on workflow development. Key research areas include generative AI for subsurface models, stochastic methods for fracture networks, and anomaly detection in geologic monitoring. Education: Background in petroleum engineering and geosciences (details not explicitly provided). Grants/Advising: Extensive industry collaboration and mentorship roles at Chevron prior to UT Austin. Labs/Teams: Maintains active GitHub repositories (GeostatsGuy), YouTube lecture series (GeostatsGuyLectures), and social media outreach (X/GeostatsGuy).

Yan ChenView profile

Professor

• Cybersecurity
• Networking
• Distributed Systems Security
• +5 more

Yan Chen is a Professor of Computer Science at Northwestern University's Robert R. McCormick School of Engineering and Applied Science. He leads the Northwestern Lab for Internet and Security Technology (LIST) and the Center for Ultra-scale Computing and Information Security. His research focuses on cybersecurity, network measurement, and distributed systems security. Chen holds a Ph.D. from UC Berkeley (2003), M.S. from SUNY Stony Brook, and B.E. from Zhejiang University. Research interests include securing networking systems, intrusion detection, cloud-native platforms, and mobile security. Notable awards include the DOE Early CAREER Award (2005), Air Force Young Investigator Award (2007), and ACM ASPLOS'18 Most Influential Paper Award. His work has been cited over 17,000 times with an h-index of 62 (2024). Key contributions include the LIST lab's advancements in APT detection, provenance tracking in microservices, and security frameworks like FlowCog. He advises numerous Ph.D. students and has graduated over 20 researchers now in academia and industry.

Kerry FangView profile

Associate Professor

• Economic Development
• Land Use Policy
• Urban Planning
• +6 more

Kerry Fang is an Associate Professor in the Department of Urban & Regional Planning at the University of Illinois Urbana-Champaign. Her research focuses on economic development, land use policy, and their socio-environmental consequences, with interdisciplinary methods spanning economics, statistics, geography, sociology, and computer science. She examines global contexts including the U.S., China, Australia, and Russia. Education: PhD, Urban and Regional Planning and Design, University of Maryland, College Park (2018) MA, Land Management, Zhejiang University (2013) BA, Land Management, Zhejiang University (2011) Research Interests: Corruption in economic development projects Land use programs for coastal resilience Text-mining of planning literature Her work bridges theory and practice, addressing questions like regional inequality and policy efficacy in job creation and innovation. Her recent articles explore topics such as communication networks in development projects, minority-owned business data utilization, and integrating urban data science into economic development curricula. These contributions highlight interdisciplinary approaches to urban challenges. No scientific awards were explicitly mentioned in the provided text. Teaching and Advising: Teaches courses like UP 545: Economic Development Policy and Land Use and Environmental Planning. She advises students on topics intersecting economic development and spatial policy, though specific advisee names are not listed. Labs/Teams: No specific lab or team affiliations were detailed, though her work likely involves collaborations with interdisciplinary research groups.

Jason RightsView profile

Associate Professor

• Quantitative Methods
• Multilevel/Hierarchical Data Analysis
• Statistical Methods
• +4 more

Dr. Jason Rights is an Associate Professor in the Department of Psychology within the Faculty of Arts at the University of British Columbia. His office is located in Kenny Room 2017 at 2136 West Mall, Vancouver, BC. He leads The Rights Lab, a quantitative methods research group dedicated to improving statistical practice in scientific research. His educational background includes: B.S. in Psychology and Mathematics from the University of North Carolina at Chapel Hill (2011) M.S. in Psychology (Quantitative Methods) from Vanderbilt University (2015) Ph.D. in Psychology (Quantitative Methods) from Vanderbilt University (2019) Dr. Rights' research focuses on addressing methodological complexities in multilevel/hierarchical data contexts where observations are nested (e.g., patients within clinicians, students within schools). His work spans several interconnected programs including developing R-squared measures for multilevel models, addressing issues with level-specific effects, exploring connections between multilevel and mixture models, and advancing latent variable model selection techniques. Analysis of his publication record reveals a consistent focus on methodological innovations in quantitative psychology, with particular emphasis on improving statistical techniques for hierarchical data structures. His work bridges theoretical statistical development with practical applications across psychology and related fields. Dr. Rights actively develops open-source software in R to implement his methodological contributions, making advanced statistical techniques accessible to researchers. The Rights Lab serves as the hub for his ongoing research program in quantitative methods development.

KHOO Siau ChengView profile

Associate Professor

• Programming Languages
• Code Analytics
• Software Engineering
• +7 more

KHOO Siau Cheng is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS) School of Computing. He also serves as Co-Director of the NUS Business Analytics Centre, established in 2013 in collaboration with the Economic Development Board of Singapore and IBM. His academic journey began with a Ph.D. in Computer Science from Yale University in 1992. Professor Khoo's research focuses on improving software developer productivity through advanced programming language theories and software engineering techniques. His work spans multiple areas including static program analysis, dynamic program optimization, code analytics, and specification mining. He has applied his expertise to develop domain-specific languages for financial data analysis and has pioneered techniques for discovering dynamic program behaviors via data-mining approaches. Research Interests: Programming Languages and Software Engineering Code Analytics and Program Analysis Specification Mining and Bug Signature Discovery Static and Dynamic Program Analysis Program Transformation and Optimization Domain-Specific Languages Professor Khoo's publications demonstrate a consistent focus on improving software quality and developer productivity. His recent work emphasizes scalable approaches to refactoring detection, bug signature mining, and specification inference, showing an evolution from theoretical foundations to practical applications in software maintenance and quality assurance. As an educator and mentor, Professor Khoo has supervised numerous graduate students to completion of their M.Sc. and Ph.D. degrees. His research projects have provided valuable training opportunities for students while addressing important challenges in software development. He has also contributed significantly to academic administration, having served as Vice Dean (Undergraduate Studies) in the School of Computing from 2005 to 2011 and currently as Co-Director of the Master of Science (Business Analytics) Programme.

Theresa BaxterView profile

Senior Lecturer

• Occupational Therapy
• Vocational Rehabilitation
• Older Adult Mental Health
• +3 more

Theresa Baxter is a Senior Lecturer at Sheffield Hallam University, where she has been since July 2007. She initially served as Programme Leader for the Practice-based Learning Occupational Therapy programme and later combined this role with that of Professional Lead for Occupational Therapy and Vocational Rehabilitation until stepping down in June 2018 to focus on supporting practice education within the Allied Health Professions (AHP) department. Prior to this, she taught at the University of Derby from 1993 to 2003 and held clinical roles in various hospitals, including the Royal London Hospital, Bethnal Green Hospital, Watford General Hospital, and Queen’s Medical Centre in Nottingham. Her educational background includes qualifying as an Occupational Therapist in 1980 from Derby School of Occupational Therapy (now the University of Derby). She has since contributed to academic and clinical advancements through her work in older adult psychiatry, general medicine and surgery, rehabilitation, and vocational healthcare. Research interests span practice learning methodologies, group work dynamics, and experiential learning in occupational therapy education. She emphasizes the integration of clinical expertise with academic programs, particularly in older adults' mental health and vocational rehabilitation. Her collaborations include studies on fracture bracing techniques and solutions to practice placement shortages in healthcare education. Theresa has presented at national conferences such as the College of Occupational Therapists National Conferences (2008–2015) and ENOTHE (2013), addressing topics like student placement experiences and strategies to enhance workforce development. Her work highlights the importance of occupationally focused practice and improving staff wellbeing through occupational functioning interventions. She currently serves as an External Examiner at the University of Brighton and a Registrant Assessor for the HCPC. Her career bridges clinical management roles and academia, with a focus on fostering practical learning environments for students and advancing educational standards in occupational therapy.

Stephanie CosnerView profile

Professor

• Social Innovation
• Social Work Education
• Technology in Social Work
• +2 more

Dr. Stephanie Cosner serves as Provost and Professor of Social Work at Simmons University. Previously she was Vice Provost and Inaugural Dean of the College of Social Sciences, Policy, and Practice. Her research focuses on social innovation, technology integration in social work, and social sector leadership. She co-leads the Grand Challenge for Social Work initiative 'Harnessing Technology for Social Good' and founded the Boston College Center for Social Innovation. Her publications include the book 'Innovation From Within: Redefining How Nonprofits Solve Problems' and numerous articles on social innovation, nonprofit management, and technology applications in social services.

Anthony Lising AntonioView profile

Associate Professor

• Higher Education
• Race and Ethnicity
• Sociology
• +5 more

Anthony Lising Antonio is an Associate Professor at the Stanford Graduate School of Education and Associate Director of the Stanford Institute for Higher Education Research . He serves as the founding faculty director of LifeWorks , an undergraduate integrative learning program. His work focuses on postsecondary access, racial diversity in education, student development, and social stratification. PhD, University of California, Los Angeles (1998) MA, University of California, Los Angeles (1994) MS, Stanford University (1992) BS, University of California, Berkeley (1988) Dr. Antonio's research spans stratification in higher education, racial and ethnic minority student development, and the impact of diversity on institutions. Recent work explores college admissions essays, synthetic text analysis, engineering equity, and social network applications in educational research. His 2024-25 courses include Diversity and Equity Issues in Higher Education and Holistic College Student Development. His publications address critical themes like racialization in STEM, gender dynamics in undergraduate applications, intersectionality in student status, and college access program partnerships. Articles frequently employ social network analysis, critical race theory, and interdisciplinary methodologies to examine educational equity and institutional change. Principal investigator for educational RCTs Co-author on large language model demography studies Contributor to affirmative action policy debates Dr. Antonio advises doctoral students in education and sociology, with affiliations to the Center for Comparative Study in Race and Ethnicity and the Asian American Studies program. He resides in EAST House, a Stanford residential fellowship focused on equity and societal issues.