Find Academic Supervisors

• Marketing Strategy
• Marketing Channels
• Digital Marketing
• +3 more

Stephen J. Carson is the David Eccles Professor of Marketing and Chair of the Marketing Department at the University of Utah's David Eccles School of Business. He joined the faculty in 2000 and holds an M.B.A. from the University of Texas-Austin and a B.A. in Economics from the University of Illinois, alongside his Ph.D. in Marketing from the University of Minnesota. His research focuses on marketing strategy, marketing channels, and digital marketing, with publications in top-tier journals such as the Journal of Marketing , Journal of Marketing Research , and Strategic Management Journal . He has been recognized with the Brady Superior Teaching Award and Faculty Research Excellence Award. Teaching responsibilities include core marketing strategy courses in the Professional MBA program, as well as specialized courses like Marketing Honors Projects and Thesis Research for Ph.D. students. His work bridges theoretical frameworks with empirical insights, addressing topics like online customer behavior, outsourced R&D governance, and the impact of diversity in media. Education: Ph.D., Marketing, University of Minnesota, 2000 M.B.A., Marketing, University of Texas-Austin, 1991 A.B., Economics, University of Illinois, 1989 His research consistently explores the intersection of strategic marketing decisions and organizational dynamics, with a focus on digital transformation and consumer-centric approaches.

Douglas W. CarterView profile

Assistant Professor

• Experimental turbulent flows
• Particle-turbulence interaction
• Noise generation of separated flows
• +7 more

Douglas W. Carter is an Assistant Professor in the Department of Mechanical, Materials, and Aerospace Engineering at the Armour College of Engineering, Illinois Institute of Technology. He leads the Experimental Turbulent Flows Lab, focusing on advanced experimental techniques for fluid dynamics research. Education: Ph.D., University of Minnesota, 2019 M.S., University of Minnesota, 2017 B.S., University of New Hampshire, 2014 Research Interests: Dr. Carter investigates experimental turbulent flows, particle-turbulence interactions, and noise generation in separated flows. His expertise spans particle tracking velocimetry, hypersonics, compressible flows, and data-driven methods for fluid systems. Research emphasizes experimental validation of turbulence models and development of novel diagnostic tools like FLEET velocimetry. Publications: Recent work explores hypersonic flow diagnostics, pressure reconstruction in stalled airfoils, and turbulence cascade dynamics. Publications demonstrate consistent focus on experimental fluid mechanics, high-speed flow measurements, and low-order modeling for aerodynamic prediction. Laboratory: The Experimental Turbulent Flows Lab (Rettaliata Engineering Center) develops cutting-edge techniques for turbulent flow analysis, including multi-scale imaging and optical diagnostics for high-speed applications.

Willy ZwaenepoelView profile

Professor

• Operating Systems
• Distributed Systems
• Database Replication
• +4 more

Willy Zwaenepoel is a Professor and Dean of the Faculty of Engineering at the University of Sydney. He holds a B.S. from the University of Gent and M.S./Ph.D. from Stanford University. Previously, he served as Dean of the School of Computer and Communication Sciences at EPFL and was a faculty member at Rice University. His expertise spans operating systems, distributed systems, and high-performance computing. Education: B.S., University of Ghent, Belgium (1979) M.S., Stanford University (1980) Ph.D., Stanford University (1984) Research Interests: Dr. Zwaenepoel focuses on distributed systems, operating systems, and their applications in database replication, virtual machine performance, and software update mechanisms. His work includes foundational contributions to distributed shared memory (e.g., Treadmarks) and startups like iMimic Networking. Awards: ACM Fellow (2000) IEEE Fellow (1998) Fellow of the Australian Academy of Technical Sciences and Engineering (2020) Recipient of the IEEE Tsutomu Kanai Award (2007) Key Contributions: His research addresses challenges in distributed systems performance, such as latency reduction in key-value stores and efficient graph processing. Current projects explore I/O optimization in virtualized environments and causal consistency for geo-replicated systems. Students/Advising: Advises Ph.D. students and postdocs, including William in database replication. His mentorship led to the Rice University Teaching Award (2000).

Filippo MalandraView profile

Assistant Professor

• Internet of Things
• Wireless Communications
• 5G/4G Cellular Networks
• +4 more

Filippo Malandra is an Assistant Professor in the Department of Electrical Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on Internet of Things (IoT), wireless communications, 5G/4G cellular networks, network performance analysis, smart grid communications, optimization, and machine learning applications. PhD in Electrical Engineering from École Polytechnique de Montréal Master of Engineering in Telecommunications Engineering from Politecnico di Milano Bachelor of Engineering in Telecommunications Engineering from Politecnico di Milano His research interests include experimental testbed development for 5G-enabled smart grids, analytical modeling of cellular network delays, and machine learning frameworks for optimizing network performance under environmental factors. He has contributed to tools like WTTool for 5G network simulation and PeRF-Mesh for RF-mesh network analysis. Recent work emphasizes 5G testbed experimentation (e.g., ExTODS), weather-based signal prediction, and CBRS spectrum analysis. He has explored synergies between federated learning and O-RAN architectures for elastic network services. Active service roles include TPC Member for IEEE SECON 2019 and reviewer for IEEE journals and conferences like DRCN. Recipient of NSF CRII grant (2021) for CNS research on IoT-aware dynamic spectrum sharing. Collaborates on projects like UBSpot (aerial-ground wireless networks) and smartDESC (distributed energy storage control).

Samuel J. RascoffView profile

Professor

• National Security Law
• Cybersecurity Law
• Intelligence Oversight
• +3 more

Samuel J. Rascoff is a Professor of Law at New York University School of Law and serves as Faculty Director of the Reiss Center on Law and Security. He holds academic appointments in national security law, cybersecurity strategy, and legal frameworks for intelligence operations. Previously, he served as Director of Intelligence Analysis at the New York City Police Department, where he led counterterrorism threat assessment teams. His research focuses on intelligence oversight, presidential authority in security matters, and the intersection of law with counterterrorism strategy. Education includes Harvard College (summa cum laude), Oxford (first-class honors), and Yale Law School. He clerked for U.S. Supreme Court Justice David H. Souter and Judge Pierre N. Leval of the Second Circuit Court of Appeals. His career also includes service in Iraq with the Coalition Provisional Authority and roles at Wachtell Lipton Rosen & Katz. He teaches courses on cybersecurity law, intelligence ethics, and the regulatory state. Rascoff’s scholarship emphasizes institutional design for intelligence oversight, new deterrence frameworks, and legal challenges in national security. His book Global Intelligence Oversight: Governing Security in the Twenty-First Century (Oxford UP, 2016) explores modern intelligence governance structures. He has received the Carnegie Scholar award (2009) for his contributions to social science research.

• Conceptual Modeling
• Ontology
• Domain Modeling
• +7 more

Tiago Prince Sales is an Assistant Professor in the field of Semantics, Cybersecurity & Services, actively contributing to foundational research in conceptual modeling, ontology, and information systems. His work bridges formal methods with practical applications in digital platforms, cybersecurity, and knowledge representation. Assistant Professor, Semantics, Cybersecurity & Services Active in international research communities (FOIS, ER, BPMDS, RCIS) Key focus: Ontology, Domain Modeling, Interoperability, Digital Platforms Recognized with multiple best paper awards His research centers on the development and application of formal conceptual models using frameworks such as OntoUML and the Unified Foundational Ontology (UFO). He investigates how domain models can enhance system design, improve interoperability, and support risk analysis in complex information systems. His work often integrates empirical insights with theoretical rigor, aiming to address real-world challenges in modeling. The recent publications highlight a strong trend toward ontological engineering in cybersecurity (e.g., phishing attack modeling), digital platform taxonomy, and FAIR data planning. These works demonstrate a consistent focus on creating reusable, semantically rich models that support both human understanding and machine processing across domains. The integration of modeling with data science and security indicates a forward-looking research agenda. Best paper award at FOIS 2023 Best paper award at ER 2022 EMMSAD 2025 Best paper award Tiago Prince Sales actively mentors and collaborates with researchers, though no formal students are listed. He has secured recognition through competitive awards and leads significant research outputs, including datasets and open models. His involvement in organizing top-tier conferences such as FOIS 2024 reflects leadership in the academic community. While specific grants are not listed, his productivity suggests external funding support. He contributes to open science through Zenodo-hosted datasets like the OntoUML Vocabulary and GO-Plan method, and participates in collaborative teams focused on knowledge graphs, FAIRification, and model-driven engineering. His role in organizing the FOIS 2024 conference underscores his integration within leading research networks in formal ontology and conceptual modeling.

• Clinical Psychology
• Methodology
• Philosophy of Science
• +12 more

Femke L. Truijens is an Assistant Professor in Clinical Psychology at the Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, where she is affiliated with the Methods & Skills department. Her work bridges clinical psychology, methodological innovation, and philosophy of science, with a focus on the validity of patient-reported outcomes and routine outcome measurement in mental health care. PhD from Ghent University, Belgium Dr. Truijens’ research centers on foundational questions in clinical research: what constitutes valid evidence, how patients interpret symptom measures, and how therapeutic change is captured. She employs qualitative and mixed methods to interrogate the assumptions behind quantitative data in psychotherapy. Her work includes longitudinal studies on children with autism during the pandemic and critical analysis of measurement validity in depression treatment. She teaches Severe Mental Illness in Urban Contexts , advocating for pluralist diagnostic approaches and recovery-oriented care. Her recent publications span topics such as autism spectrum disorder during the pandemic, response shifts in psychotherapy, and the integration of qualitative insights into quantitative research. These works reflect a consistent theme: enhancing the clinical validity and ethical integrity of mental health research through methodological reflexivity. Impact Journey Erasmus University Rotterdam (2022) Closing webinar on the impact of the COVID-19 pandemic on families with children with ASD (2021) Most Valuable Contribution to the Integration of Science and Practice in Psychology (2020) ZonMW – COVID-19 second wave focus area 2 – Bottom up Fellowship (2020) Dr. Truijens has been actively involved in advising and public engagement, particularly through webinars and media contributions on the mental health impact of the pandemic on families with children with ASD. She leads a stakeholder study on Routine Outcome Measurement in the Dutch GGZ and has initiated two key collaborative networks: the Qualitative Research Collective GGZ in the Netherlands and the international SPR interest group Evidence for Guidelines . She also maintains a private practice offering psychotherapy to gifted adults and adolescents.

Yue LiView profile

Professor

• Health Services Research
• Medicare Policy
• Healthcare Quality Assessment
• +3 more

Dr. Yue Li is a tenured Professor in the Departments of Public Health Sciences and Psychiatry at the University of Rochester School of Medicine and Dentistry (SMD). She holds leadership roles as Director of the Health Services Research and Policy (HSR&P) MS/PhD programs and Director of Research in the Division of Health Policy and Outcomes Research. She also serves as Editor-in-Chief of Health Services and Outcomes Research Methodology (HSORM) . Her research focuses on Medicare policy, healthcare quality, and disparities in long-term care and hospital settings. Current projects include analyzing nursing home patient safety culture, suicide risk prediction in older adults, and the impact of Medicare payment reforms like bundled payments. Dr. Li has received numerous awards, including the Best Student Abstract Award (2013), the James G. Zimmer New Investigator Research Award (2009), and the Aetna Susan B. Anthony Award (2007). Her work bridges clinical practice, policy, and research, addressing critical issues such as racial disparities in healthcare access and outcomes. Collaborative projects involve federal grants from AHRQ, NIMH, and other agencies, examining topics like surgical outcomes under Medicare ACOs and the effects of state regulations on assisted living facilities. Her teaching includes courses on quality of care, risk adjustment, and health economics. Dr. Li’s research has been featured in high-impact journals and media outlets like JAMA , Neurology , and Reuters Health . Key contributions include studies on post-acute care utilization, hospital readmission penalties, and the sociodemographic factors influencing healthcare disparities.

Daniel MonterescuView profile

Professor

• Urban Anthropology
• Food Studies
• Ethnic Relations
• +12 more

Daniel Monterescu is Professor of urban anthropology and food studies at the Department of Sociology and Social Anthropology at Central European University (CEU), where he has been teaching since 2005. He is currently on leave for the 2024/25 academic year. His research focuses on ethnically mixed cities, settler colonialism, urban space, food politics, and Jewish revival movements in Central Europe and Israel/Palestine. Monterescu holds a PhD in anthropology from the University of Chicago (2005). He has held prestigious fellowships including Jean Monnet and Marie Curie at the European University Institute in Florence, and was visiting professor at EHESS (Paris), the Technion (Haifa), and Kyoto University. He held the IMéRA chair on transregional studies in Marseille (2020–21). His research explores themes such as nationalist gentrification, urban ruination, terroir and territory, culinary politics, and the social life of ruins. He is particularly known for his work on Jaffa, mixed cities in Israel/Palestine, and Jewish revival movements in post-secular Europe. His current project, funded by the Gerda Henkel Stiftung, is titled 'Lost Cities' and examines urban ruins and memory in Israel/Palestine from 1882 to the present. His recent publications span interdisciplinary topics including settler colonialism and food, border wines, ethno-gentrification, and transnational Jewish identities. The articles reflect a consistent engagement with political ecology, urban anthropology, and cultural memory, often analyzing how food, wine, and urban space become sites of identity, conflict, and resistance. Finalist, Jordan Schnitzer Book Award (2015) for Jaffa Shared and Shattered Monterescu advises on urban and cultural issues through public scholarship, hosting a blog on Haaretz and contributing op-eds on Middle Eastern politics and urbanism. He teaches courses such as Cities in the Middle East, The Anthropology of Masculinity, and Food, Culture & Politics. He is a sommelier (Italy, 2010) and candidate for the WSET Diploma (level 4, Austria).

Thomas NiederkrotenthalerView profile

Associate Professor

• Suicide Prevention
• Mental Health Promotion
• Epidemiology
• +5 more

Thomas Niederkrotenthaler is an Associate Professor and Head of the Unit for Suicide Research & Mental Health Promotion at the Medical University of Vienna, Austria. He is also an Associate Faculty member at the Complexity Science Hub (CSH) since September 2019. His research centers on suicide prevention, mental health promotion, and the epidemiological impact of media on suicidal behavior. He is best known for coining the Papageno effect , which describes how responsible media reporting can have protective effects against suicide. His work integrates public health, data science, and complex systems approaches. The recent publications reflect a strong trend in using data science and machine learning to analyze media content, evaluate public health campaigns, and understand mental health trajectories during crises such as the COVID-19 pandemic. His research spans refugee mental health, antidepressant use, and the societal impact of celebrity suicides. He is a board member of the International Association for Suicide Prevention and chairman of the Wiener Werkstaette for Suicide Research. He has received multiple research grants, including funding for COVID-19-related projects from WWTF. Board Member, International Association for Suicide Prevention Chairman, Wiener Werkstaette for Suicide Research Associate Faculty, Complexity Science Hub (CSH) Thomas Niederkrotenthaler has advised numerous research projects and secured competitive grants. His team leverages large datasets, including administrative and social media data, to inform suicide prevention strategies. He leads a multidisciplinary research unit focused on translating epidemiological findings into public health action. His lab collaborates closely with the Complexity Science Hub and engages in international research networks focused on mental health, media effects, and pandemic response. The team emphasizes open science and data sharing, as demonstrated by contributions to large-scale datasets like the CSH COVID-19 Control Strategies List.

• Gender
• Human Rights
• Sociology of Sports
• +7 more

Prof. Itır Erhart is a faculty member at the School of Communication, Istanbul Bilgi University, where she teaches courses in media, gender, human rights, and sports sociology. Her research spans interdisciplinary fields including gender studies, human rights, social entrepreneurship, and the sociology of sports. She actively contributes to both academic and civil society domains. Ph.D. in Philosophy, Boğaziçi University (2006) M.Phil. in Philosophy, University of Cambridge (2000) M.A. in Philosophy, Boğaziçi University (1999) B.A. in Western Languages and Literatures and Philosophy, Boğaziçi University (1997) Her research focuses on gender and media, human rights, the intersection of sports and society, and social movements. She critically examines issues like female fandom, masculinity in cinema, and the role of media in shaping identity and resistance. Her work often bridges philosophy, sociology, and communication studies. The 15 most recent publications reflect a consistent engagement with social justice, identity politics, and cultural critique—particularly in Turkish society. Her work frequently explores gender norms, the politics of representation, and collective action in digital and physical spaces, with recurring themes in sports culture, aging, and protest movements like Gezi Park. Scientific Awards: Ashoka Fellow (2014) JCI Ten Outstanding Young Persons (2010) Sabanci Foundation, Turkey's Changemakers (2009) Prof. Erhart has advised various civil society initiatives and led socially entrepreneurial projects. She co-founded Adım Adım and Açık Açık , and serves on the boards of Ashoka Turkey and TEGV. She has been involved in fundraising and educational outreach, promoting inclusive citizenship and civic engagement. She is associated with academic and social initiatives that emphasize participatory democracy, media ethics, and gender equality. Her work integrates teaching, research, and activism, particularly through interdisciplinary collaborations in communication and social change.

Liang DongView profile

Associate Professor

• Signal Processing
• Wireless Communications
• Cyber-Physical Systems
• +12 more

Dr. Liang (Leon) Dong is an Associate Professor in the Department of Electrical and Computer Engineering at Baylor University, where he conducts research and teaches in the areas of signal processing, wireless communications, and artificial intelligence. He leads the Laboratory of Signal Processing, Communications, and Artificial Intelligence, fostering innovation in next-generation communication systems, IoT, and AI-driven applications. PhD, Electrical & Computer Engineering, The University of Texas at Austin (2002) MS, Electrical & Computer Engineering, The University of Texas at Austin (1998) BS, Applied Physics with Minor in Computer Engineering, Shanghai Jiao Tong University (1996) Dr. Dong's research focuses on advancing digital signal processing and wireless communications, with strong emphasis on artificial intelligence applications. His work spans NextG wireless systems , IoT and smart cities , cyber-physical system security , and AI in healthcare and industrial automation . He applies deep learning to domains such as autonomous driving and drug discovery, and investigates energy-efficient, secure, and reliable communication protocols. The recent publications highlight a strong trend toward integrating AI into traditional signal processing and communications. Topics include mRNA vaccine stability prediction , smart city infrastructures , secure cyber-physical systems , and deep learning for biomedical and industrial applications . His work bridges theoretical innovation with real-world impact in defense, transportation, and public health. Dr. Dong has earned recognition as a Senior Member of IEEE and a Member of the American Physical Society. He has also served as Faculty Advisor for Baylor University's InterVarsity chapter. Senior Member, Institute of Electrical and Electronics Engineers (IEEE) Member, American Physical Society (APS) He has successfully advised numerous graduate and undergraduate students, many of whom now hold academic and industry positions at institutions like Stanford, Intel, NASA, L3Harris, and Cummins. His research is generously supported by Baylor's VP for Research, the National Science Foundation, NASA, the Department of Defense (TARDEC), the Michigan Department of Transportation, and industry leaders including Intel, L3Harris, ExxonMobil, and Denso. He actively mentors students through research assistantships and senior design projects. Dr. Dong leads the Laboratory of Signal Processing, Communications, and Artificial Intelligence, which provides a collaborative environment for advancing research in signal processing, communications, and AI. The lab supports graduate and post-doctoral researchers and offers opportunities for undergraduate involvement in AI programming, circuit design, and embedded systems.

Anantaa KotalView profile

Assistant Professor

• Generative AI
• Privacy-Preserving Data Sharing
• Cybersecurity
• +2 more

Anantaa Kotal is an Assistant Professor of Computer Science at The University of Texas at El Paso (UTEP), commencing her position in Fall 2024. Previously, she completed her PhD at the University of Maryland, Baltimore County (UMBC) and gained industry experience at Amazon and IBM. Her academic credentials include: PhD in Computer Science, University of Maryland Baltimore County (UMBC), 2024 B.E. in Computer Science and Engineering, Jadavpur University, 2017 Dr. Kotal's research centers on Generative AI applications for privacy and security, with emphasis on privacy-preserving data sharing, synthetic data generation, and policy compliance verification. She integrates knowledge graphs, reinforcement learning, and neurosymbolic approaches to develop frameworks for secure data synthesis in healthcare, agriculture, and cybersecurity domains. Her work addresses critical challenges like policy ambiguity resolution and trustworthy AI code generation. Analysis of her 15 most recent publications (2021-2025) reveals a strong trajectory toward knowledge-infused generative models for privacy preservation, with increasing focus on large language models (LLMs) and real-world applications in distributed systems. Key thematic clusters include policy-aware data synthesis (12 publications), healthcare data security (7 publications), and knowledge-graph-enhanced cybersecurity (5 publications). Dr. Kotal is actively recruiting graduate students for her research lab at UTEP and currently teaches Data Mining (CS 5362/6362) in Fall 2024. She maintains active research collaborations with her doctoral advisor Dr. Anupam Joshi at UMBC and industry partners including IBM. She leads a research laboratory at UTEP focused on developing next-generation privacy-preserving AI systems, with current projects spanning healthcare data anonymization, agricultural data sharing frameworks, and policy-compliant synthetic data generation for cybersecurity applications.

• Rheumatic Heart Disease
• Public Health
• Indigenous Health
• +4 more

Marisa Gilles serves as an Adjunct Associate Professor in the School of Health and Clinical Sciences at The University of Western Australia, with research focused on public health disparities affecting vulnerable populations. Her work addresses critical gaps in Indigenous health, rheumatic heart disease management, and prison healthcare systems through interdisciplinary collaboration. Her primary research domains include rheumatic heart disease epidemiology, Indigenous health equity (particularly Aboriginal communities), prison health services, and infectious disease outbreak response. Methodologically, she specializes in mixed-methods approaches and implementation science to evaluate health interventions in real-world settings, with strong emphasis on community engagement and culturally safe practices. Analysis of her recent publications reveals a cohesive trajectory targeting health inequities through three interconnected streams: 1) Rheumatic heart disease elimination programs in Australia and Timor-Leste, 2) Maternal and child health within correctional systems, and 3) Vaccine-preventable disease surveillance. Her work consistently bridges clinical practice, public health policy, and community-led solutions, with increasing focus on implementation research since 2023. Dr. Gilles currently leads or participates in multiple funded projects including Good paths for health hearts (Department of Health, Western Australia, 2023-2026) and Good paths for healthy hearts (Medical Research Future Fund, 2023-2026), both addressing rheumatic heart disease through penicillin delivery innovations. Her historical projects span diabetes surveillance in Midwest Australia (2006), Indigenous health research leadership development (2005-2009), and national stroke unit implementation (2003). She maintains active collaborations with Timor-Leste health systems and Australian Aboriginal community organizations.

• Body Image
• Health Psychology
• Psychosocial Aspects of Cancer
• +4 more

Dr. Nicole Paraskeva is a Senior Research Fellow at the Centre for Appearance Research (CAR) within the Faculty of Health and Applied Sciences at the University of the West of England. She holds a Professional Doctorate in Health Psychology from UWE (2016) and an MSc in Health Psychology from the University of Bath (2011). Her research specializes in body image dynamics across clinical and community settings, with a focus on vulnerable populations including adolescents, cancer survivors, and individuals considering cosmetic procedures. She leads a multinational project evaluating body acceptance interventions in partnership with the World Association for Girl Guides and Girl Scouts and Unilever's Dove Self-Esteem Project. Methodologically, she employs: Randomized controlled trials Systematic reviews Qualitative analysis of patient experiences Shared decision-making tool development Her work integrates partnerships with NHS England, Breast Cancer Now, British Association of Aesthetic Plastic Surgeons, and Department of Health. She frequently presents on body image, psychosocial oncology, and cosmetic surgery ethics.