Find Academic Supervisors

Stephen D. ReeseView profile

Professor

• Media Sociology
• Journalism Studies
• Media Framing
• +5 more

Stephen D. Reese is the Jesse H. Jones Professor of Journalism at the University of Texas at Austin's Moody College of Communication. He has been on the faculty since 1982, serving as Director of the School of Journalism and Associate Dean for Academic Affairs. His research focuses on media framing, globalization of journalism, and the sociology of news. Reese holds a Ph.D., M.A., and B.S. from the University of Wisconsin at Madison and the University of Tennessee, respectively. Education: Ph.D. (1982), M.A. (1980), and B.S. (1976) in Communication and Journalism. Affiliations: Salzburg Academy for Media and Global Change Visiting Professor, Kurt Baschwitz Visiting Professor at the University of Amsterdam. Awards: Paul J. Deutschmann Award (2017), Harold L. Nelson Award (2015), Krieghbaum Under-40 Award (1994). Reese's research interests span media sociology, global journalism dynamics, and the interplay between news media and public perception. He has authored/co-authored seminal works like Mediating the Message and Framing Public Life . His recent work explores digital media's role in civic engagement in China and the evolving global news arena. Reese has advised numerous doctoral students and secured grants for initiatives like the High School Journalism Institute. His teaching includes courses on critical journalism issues and global media literacy. Grants: Knight Foundation grants for media education, Texas Long-Distance Telephone Use Survey funding. Labs/Teams: Involved with the Salzburg Academy on Media and Global Change, contributing to global journalism education initiatives.

McKenzie F. JohnsonView profile

Assistant Professor

• Global Environmental Politics
• Environmental Justice
• Environmental Security and Peacebuilding
• +4 more

McKenzie F. Johnson is an Assistant Professor at the University of Illinois Urbana-Champaign's Department of Natural Resources and Environmental Sciences (NRES), part of the College of Agricultural, Consumer and Environmental Sciences. She is also affiliated with the Institute for Sustainability, Energy, and Environment (ISEE). Her research focuses on global environmental politics, environmental justice, and human security, with a particular interest in how environmental governance initiatives impact marginalized communities. Education: Began with fisheries governance studies, earned a Master of Arts in Conservation Biology from Columbia University (2007), and a PhD in Environmental Policy from Duke University. Her Fulbright scholarship in West Africa (2010s) focused on extractive industries and social justice linkages. Research Interests: Explores intersections between environment, institutions, and justice through projects in South Asia, Africa, and South America. Current U.S.-focused work examines environmental impact assessments and pipeline development's effects on communities. The (in)Secure Landscapes Lab she leads investigates environmental governance's role in creating human security and justice. Key Themes in Publications: Energy infrastructure conflicts (e.g., Dakota Access Pipeline), environmental peacebuilding in post-conflict regions (Colombia, Afghanistan), carbon market equity, and invasive species governance. Her work critiques neoliberal environmental governance models and advocates for inclusive decision-making processes. Lab Activities: The IL Lab analyzes environmental governance's societal impacts, emphasizing participatory approaches. Current projects include studying soil carbon markets' equity implications and climate change adaptation strategies in conflict zones.

• Film Aesthetics
• Film Performance Analysis
• Film Criticism History
• +3 more

Professor Andrew Klevan is a leading scholar in film aesthetics and close cinematic analysis, holding a professorial position at the University of Oxford's Faculty of English and serving as a Non-tutorial Fellow at St Anne's College. His work focuses on film form, performance, critical methodology, and pedagogy, advocating for detailed close analysis as a core practice in film studies. Research interests include the interplay between film medium and narrative structure, particularly exploring 'undramatic' forms that capture mundane experiences. He has authored monographs on film performance (e.g., Barbara Stanwyck studies), aesthetic evaluation frameworks, and the philosophy of film criticism. Recent work critiques theoretical approaches in film studies and develops 'ordinary language film studies' to emphasize practical criticism over abstract theory. Publications span over two decades, with notable contributions to journals like Movie , Film-Philosophy , and Aesthetic Investigations . His edited collection The Language and Style of Film Criticism (with Alex Clayton) remains influential in critical discourse. Teaching focuses on advanced film analysis and methodology. No formal academic awards are listed, though his contributions to film scholarship are widely recognized. He supervises Master’s and DPhil students in film studies, emphasizing close textual analysis and critical writing. His academic affiliations include the St Anne's College community and the broader Oxford film studies network.

• Machine Learning & Artificial Intelligence
• Probabilistic Modelling
• Neuro-Symbolic Modelling
• +7 more

Dr. Robert Lieck is an Assistant Professor in the Department of Computer Science at Durham University. His research focuses on interdisciplinary applications of machine learning (ML) and artificial intelligence (AI), emphasizing interpretability, robustness, and ethical considerations. He explores computational models in music cognition, communication dynamics, and medical image analysis, aiming to bridge theory and practical tools for domain experts. Before Durham, he was a postdoctoral researcher at EPFL's Digital and Cognitive Musicology Lab (2018–2021) and earned his PhD from the Learning and Intelligent Systems Lab in Stuttgart/Berlin (2012–2017). His work combines probabilistic modelling, neuro-symbolic systems, and reinforcement learning to address challenges in music analysis, autonomous decision-making, and medical robotics. Key research themes include: Music structure and perception modelling Symbol emergence in multi-agent communication Ethical AI and autonomous systems governance Medical imaging applications (CT/MRI analysis) Recent projects involve developing patient-agnostic diabetes management systems using deep reinforcement learning and surgical workflow anticipation through graph learning algorithms. He actively contributes to conferences such as NeurIPS, ISMIR, and AAAI, with publications spanning music informatics, robotics, and biomedical engineering. Current supervision includes four postgraduate students focusing on AI applications in healthcare, music technology, and autonomous systems. His work bridges technical innovation with societal impact, addressing challenges in policy, legislation, and interdisciplinary collaboration.

Ning YuView profile

Professor

• Cognitive Linguistics
• Metaphor Studies
• Cultural Linguistics
• +3 more

Ning Yu is a Professor of Asian Studies and Applied Linguistics at The Pennsylvania State University, affiliated with the College of the Liberal Arts. His research focuses on cognitive linguistics, cultural metaphor studies, and the interplay between language, body, and culture. He holds editorial roles in journals like International Journal of Chinese Linguistics and book series such as Cultural Linguistics . Yu earned an M.A. from Central China Normal University (1987) and a Ph.D. from the University of Arizona (1996). His work explores embodied cognition in metaphors, cross-cultural semantics, and the cognitive foundations of figurative language. Key publications include The Moral Metaphor System (2022) and From Body to Meaning in Culture (2009). His research spans metaphor universals, moral cognition, and Chinese linguistic pragmatics. Recent articles analyze metaphors of anger in Mandarin and spatial conceptualizations of morality. Yu’s editorial contributions and international collaborations underscore his influence in cognitive and cultural linguistics.

Nick PaulView profile

Professor

• Marine Science
• Seaweed Aquaculture
• Functional Foods
• +5 more

Professor Nick Paul is a marine scientist at the University of the Sunshine Coast (UniSC), leading applied research in seaweed and algae for sustainable product development. He holds a PhD and BSc (Hons) from UNSW and a Graduate Certificate in Tertiary Education Management from the University of Melbourne. His work focuses on seaweed aquaculture innovations, including waste-to-resource biotechnology, functional foods, and environmental remediation. He leads international projects funded by organizations like ACIAR, CSIRO, and Advance Queensland. Research interests include seaweed-based solutions for livestock health, wastewater treatment, and sustainable aquaculture expansion near the Great Barrier Reef. He has pioneered commercial land-based seaweed farming and developed intellectual property in this field. Awards include the 2015 UNAA World Environment Day Award for Sustainable Water Management and the 2015 Queensland Water Innovation Forum Best Paper. He serves on the Asian Fisheries Society Council and Fiji’s National Seaweed Taskforce. Key publications span seaweed cultivation methods, marine genomics, and socio-economic impacts of aquaculture in the Pacific. Grants total over A$3.7 million for projects like diversifying Pacific Island seaweed industries and improving Indonesian seaweed production.

Kai-Yu WangView profile

Professor

• Marketing
• Consumer Behavior
• Digital Marketing
• +6 more

Kai-Yu Wang is a Professor of Marketing at the Goodman School of Business, Brock University. His research spans a wide range of topics in marketing, consumer behavior, and digital technologies, with a particular focus on service recovery, augmented reality, social media marketing, and brand management. Research Interests: Consumer behavior in digital environments Service recovery strategies in social media and chatbot contexts Augmented reality applications in marketing and consumer engagement Brand value co-creation and community building Cross-cultural consumer psychology His recent work delves into the nuances of consumer interactions with emerging technologies like chatbots and AR, examining how these tools influence customer relationships and decision-making processes. Contact Information: Email: kwang@brocku.ca Phone: 905 688 5550 x5597

Feng YeoView profile

Associate Professor

• Risk and Uncertainty Disclosures
• Disclosure Regulations
• Financial Reporting
• +4 more

Feng Yeo is an Associate Professor of Accounting at the Darla Moore School of Business, University of South Carolina. He specializes in risk and uncertainty disclosures, disclosure regulations, and their impacts on capital markets. His research bridges accounting practices with investor and managerial behaviors, focusing on how risk-related information influences decision-making. Education Ph.D. in Accounting, Nanyang Technological University (2016) – funded by Nanyang President’s Graduate Scholarship Bachelor of Accountancy (First Class Honors), Nanyang Technological University (2010) Research Focus Yeo’s work examines how risk disclosures affect managers’ accounting choices, investors’ perceptions, and regulatory outcomes. Key themes include: Impact of disclosure framing and formats on investor judgments Role of critical audit matters in shaping managerial estimates Effectiveness of regulatory regimes in guiding disclosure practices Teaching He teaches courses on consolidated financial statements, hedge accounting, and International Financial Reporting Standards (IFRS). Grants & Labs No specific grants or lab affiliations mentioned in the text.

Bhishna BajracharyaView profile

Associate Professor

• Urban Planning
• Disaster Management
• Master Planned Communities
• +5 more

Dr Bhishna Bajracharya is an Associate Professor of Urban Planning at Bond University's Faculty of Society & Design. He previously taught at Queensland University of Technology (QUT) for over 12 years and worked as a post-doctoral fellow at the Australian National University. His research focuses on urban sustainability, disaster resilience, and master-planned communities. Education: PhD in Urban Planning, University of Hawaii (200?) MURP in Urban Planning, University of Hawaii BArch in Architecture, Delhi University Research Interests: Smart cities and infrastructure Disaster management and community resilience Transit-oriented development Climate change adaptation Sustainable campus design Knowledge-based regional economies Recent Research Trends: His recent work emphasizes cross-border planning (e.g., Gold Coast Airport integration), megaproject governance, and innovative disaster management frameworks. He frequently collaborates with governments and NGOs to bridge research and policy gaps. Awards & Grants: Australian Research Council (ARC) Linkage Grant for community narratives in urban planning Emergency Queensland grant for disaster governance research Advising & Partnerships: Supervising PhD students in urban planning Collaborations with QUT's Creative Industries faculty Member of Bond University's Sustainability Committee Labs & Teams: Affiliated with the Centre for Comparative Construction Research at Bond University, focusing on global urban challenges.

Sadaf SalehkalaibarView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Generative models
• +5 more

Sadaf Salehkalaibar is an Assistant Professor in the Department of Computer Science at the University of Manitoba, Winnipeg, Canada. She holds an office in the EITC building (E2-416) and has previously held academic positions at the University of Tehran, University of Toronto as a research associate, and visiting roles at McMaster University, Telecom Paristech, and National University of Singapore. Her research focuses on explainable artificial intelligence, generative models, and information theory with an emphasis on rate-distortion-perception tradeoffs in video and image processing. Her educational background includes teaching courses such as Signals and Systems, Digital Signal Processing, and Network Security at the University of Tehran. She currently teaches COMP4190 (Artificial Intelligence) at the University of Manitoba. Research interests revolve around developing efficient algorithms for AI systems, with key contributions in learned video compression, federated learning, and privacy-preserving techniques. Notable work includes the M22 algorithm for communication-efficient federated learning and the NSERC Discovery Grant-funded project on data-driven learning efficiency. Recent publications highlight advancements in perception loss functions, Gaussian vector source analysis, and secure distributed hypothesis testing. She actively serves on editorial boards (e.g., IEEE Transactions on Communications) and conferences (ISIT, ITW). Awards include the prestigious NSERC Discovery Grant (2025). Supervision highlights 13 MSc students at the University of Tehran, focusing on topics like privacy-preserving systems and distributed learning. Labs/teams: Leads research group at University of Manitoba focusing on AI and information theory applications in multimedia systems.

Helmut H. StreyView profile

Associate Professor

• Biomedical Engineering
• Biophysics
• Microfluidics
• +6 more

Helmut H. Strey is an Associate Professor in the Department of Biomedical Engineering at Stony Brook University. His research focuses on micro- and nanotechnologies for quantitative biology , including single-cell analysis, cancer metabolism modeling, and functional MRI data analysis. He holds academic appointments since 2008 and has pioneered technologies like tumor-on-a-chip and optical decoders for translation stages. Education: PhD in Biophysics (Technical University München, 1993), postdoctoral training at NIH (1994-1998). Awards include the NSF CAREER Award (2000-2005), Dillon Medal (2003), and Weston Visiting Professorship (2020). Research interests span cell-to-cell variability , Warburg effect in cancer , and Bayesian analysis of time-series data . His lab develops tools for 3D tumor microenvironments, MRI-compatible drug delivery systems, and biomimetic neural circuit models. Teaching includes advanced numerical methods in biomedical engineering, quantitative biology, and biomolecular analysis. Active in open hardware projects, including microfluidics controllers and IoT devices for health monitoring.

Patrick SkebaView profile

Academic

• Internet Privacy
• Artificial Intelligence
• Data Ethics
• +3 more

Patrick Skeba is a Teaching Assistant Professor at the University of Pittsburgh's Department of Computer Science within the School of Computing and Information. He holds a PhD in Computer Science from Lehigh University (2022) and bachelor's degrees in Cognitive Science and Computer Science from Johns Hopkins University (2017). His research focuses on internet privacy, AI ethics, and the responsible use of data. He teaches courses in machine learning and programming. Research Interests: Skeba's work bridges technology and societal impact, emphasizing privacy risks in data systems, algorithmic fairness, and user-centric privacy frameworks. His recent studies explore informational friction in data collection, community-based privacy strategies, and lay-expert disparities in understanding privacy-enhancing technologies (PETs). Publications: His articles analyze privacy dynamics in digital spaces, from pandemic-era discourse on r/privacy to methodological approaches for categorizing technology non-use. His earlier work includes breakthroughs in sleep disorder diagnostics, particularly periodic leg movement (PLM) analysis and telemedicine applications for neurological conditions. Awards: No scientific awards listed. Grants and advising details are currently unspecified. Labs/Teams: No specific lab affiliations mentioned in provided materials. His teaching and research emphasize collaboration across computational and social domains.

• Consumer Behavior
• Marketing
• Cognitive Sciences
• +5 more

Dr. Rajesh Bhargave is an Associate Professor of Marketing at the Department of Analytics, Marketing and Operations within Imperial Business School, Imperial College London. He holds a B.B.A. from the University of Texas at Austin and a Ph.D. from the Wharton School of the University of Pennsylvania. His research focuses on consumer behavior, particularly how social contexts and digital tools influence decision-making and product evaluations. Dr. Bhargave’s academic journey includes prior faculty positions at the University of Texas at San Antonio before joining Imperial College London. He teaches across programs including MBA, Executive Education, and Pre-experience Masters, emphasizing practical application of marketing principles. His research explores two primary areas: (1) the impact of social environments on product preferences, analyzing shared versus solitary consumption experiences, and (2) how online technologies reshape consumer decision-making processes. Key topics include hedonic judgments, numerical processing in choices, and the psychological effects of digital cues like 'cloud' reminders. His publications span journals such as Journal of Consumer Research and Psychological Science , reflecting a strong focus on behavioral economics and consumer psychology. Notable themes include 'collective satiation,' 'cue-of-the-cloud effects,' and the role of round numbers in consumer perceptions of product longevity. Dr. Bhargave has advised students such as JORGE PENA-MARIN and Nicole Votolato Montgomery. While no scientific awards are explicitly listed, his work contributes significantly to marketing theory and practice. His research and teaching underscore the intersection of technology, social dynamics, and consumer behavior.

Gillian HayesView profile

Professor

• Human-Computer Interaction
• Ubiquitous Computing
• Assistive Technologies
• +4 more

Gillian Hayes is the Vice Provost for Academic Personnel and a Chancellor’s Professor at the University of California, Irvine (UCI). She holds joint appointments in the Department of Informatics (Donald Bren School of Information and Computer Sciences), School of Education, and School of Medicine. Her research focuses on human-computer interaction, assistive technologies, and digital health interventions for children with ADHD and autism. She leads the STAR Group, which designs technologies to address real-world challenges in healthcare and education. Education: PhD in Computing from Georgia Tech, and degrees from Vanderbilt University. Professional roles include Vice Provost for Graduate Education, Dean of the Graduate Division, and faculty director of multiple programs, including the Master of Human Computer Interaction and Design. Research interests include child development, health informatics, and ethical technology deployment. Notable projects include the CERES initiative and work on smartwatch interventions for ADHD. Over 100 peer-reviewed publications and 6 books/chapters highlight her contributions. Scientific awards include NSF CAREER Award, ACM SIGCHI Academy, and recognition for teaching and innovation in accessibility. Advises graduate students in informatics, computer science, and education. Active in leadership roles at UCI and the Computing Research Association (CRA Board member). Labs/Teams: STAR Group, Intel Science and Technology Center (ISTC) collaborator, and co-founder of AVIAA and Tiwahe Technology. Focuses on interdisciplinary research with global collaborators.

Maithilee KundaView profile

Associate Professor

• Artificial Intelligence
• Computational Cognitive Systems
• Visual Reasoning
• +3 more

Maithilee Kunda is an Associate Professor in the Department of Computer Science and Computer Engineering at Vanderbilt University's School of Engineering. She leads the Laboratory for Artificial Intelligence and Visual Analogical Systems and co-leads the Vanderbilt Initiative for Autism, Innovation, and the Workforce. Her research focuses on AI-driven cognitive systems, particularly visual reasoning and technology applications for neurodiverse populations, including autism spectrum disorder. Dr. Kunda holds a B.S. in Mathematics with Computer Science from MIT (2007) and a Ph.D. in Computer Science from Georgia Tech (2013). She was honored as an MIT Technology Review Innovator Under 35 in 2016 for her groundbreaking work. Her research bridges computational models of visual thinking and real-world impact, emphasizing neurodiverse cognition. Notable projects include developing AI systems for autism-related social skills interventions, designing visual analogy problem-solving frameworks, and advancing nonverbal communication understanding in AI. Her work addresses challenges in abstract reasoning tasks (e.g., Raven's Matrices), visual imagery-based learning, and ethical AI integration. She advocates for inclusive technology design, leveraging both generative AI and cognitive principles to create human-centered solutions. Key awards: MIT Technology Review Innovator Under 35 (2016) Her labs focus on practical AI applications for education, healthcare, and workforce development, emphasizing interdisciplinary collaboration between engineering, psychology, and neuroscience.