Find Academic Supervisors

Jing TangView profile

Assistant Professor

• Digital Innovation
• Digital Strategy
• Platform Design
• +4 more

Jing Tang serves as an Assistant Professor in the Department of MIS, Marketing, and Analytics at the Saunders College of Business, Rochester Institute of Technology. Her research focuses on digital innovations and strategies with particular emphasis on platform design and human-technology interaction dynamics, while teaching core analytics courses including Business Analytics and Marketing Analytics. Her academic foundation includes: Ph.D. in Design and Innovation from Weatherhead School of Management, Case Western Reserve University Dr. Tang's research program investigates how digital platforms can be optimally designed to enhance user engagement and business outcomes through interdisciplinary approaches. She examines collaborative mechanisms in digital environments such as open innovation communities and AI-driven service interfaces, integrating theoretical frameworks from Management Information Systems, Marketing, and Strategic Management to address contemporary business challenges in the digital transformation era. Analysis of her 2021-2025 publications reveals strong interdisciplinary reach across information systems, accounting, and marketing domains. Her work consistently applies mixed-methods research to examine critical phenomena including avatar-commerce interactions, sustainability auditing practices, and AI chatbot service quality measurement, demonstrating methodological rigor through combinations of qualitative and quantitative techniques. No specific scientific awards were documented in the available information, though her publications in high-impact journals like Accounting, Organizations and Society and Journal of Business Research indicate scholarly recognition. Dr. Tang teaches MGIS-650 Introduction to Data Analytics and Business Intelligence, developing students' capabilities in descriptive and inferential statistical techniques using contemporary analytics tools. The profile does not specify research grant funding or formal student advising relationships beyond classroom instruction. While no dedicated research laboratories are mentioned, her collaborations with prominent scholars like Kalle Lyytinen on the MaCuDE IS Task Force suggest active participation in broader academic networks focused on information systems education and industry alignment.

• Art History
• Early Modern Art
• Material Culture
• +10 more

Allison Stielau serves as Lecturer in Early Modern Art at University College London's Department of History of Art within the Faculty of Social and Historical Sciences since September 2016. Her academic profile centers on boundary-pushing investigations of 'object cultures' in early modern Northern Europe (1400-1700), examining artifacts that challenge conventional distinctions between art and material culture through lenses of transformation and historical emergency. Her educational foundation includes: PhD in History of Art from Yale University MA in Decorative Arts, Design, and Culture from Bard Graduate Center BA in English Literature (summa cum laude) from Yale College Postdoctoral Fellowship at McGill University (Early Modern Conversions Project) Predoctoral Fellowships at the Getty Research Institute Stielau's research explores material transformation across multiple dimensions: Ovidian metamorphosis in visual representation, cross-media translation processes, and physical alterations of objects through fiscal/political/religious crises. Her work spans monetary culture (siege coins, silver hoards), liturgical objects (censers, ceremonial vessels), and artisanal practices (engravings, metalwork), with particular focus on German contexts and connections to post-war German conceptual art. She examines how objects like leather étuis and weight measurements function as historical evidence within social networks. Analysis of her publication trajectory reveals consistent focus on material agency and object biographies , demonstrating how precious metals, coins, and ceremonial vessels mediate power dynamics during religious upheavals. Her methodology integrates art historical analysis with archaeological, economic, and anthropological perspectives, particularly evident in studies of coin-based social bonds and melted metal symbolism. Her scientific recognition includes: Leverhulme Trust Fellowship (2019-2020) for research on metallic transformation in post-war German art Postdoctoral Fellowship at McGill University Predoctoral Fellowship at the Getty Research Institute Stielau has secured significant research funding through the Leverhulme Trust project connecting early modern metalwork transformations to post-war German conceptual artists like Joseph Beuys. Her collaborative work with artist Anne Callahan on curating art historical diagrams demonstrates interdisciplinary outreach. While formal student advising isn't documented, her publications and teaching profile suggest mentorship in material culture methodology and early modern visual studies. Her research intersects with Sustainable Development Goal 5 (Gender Equality) through investigations of women's economic roles in early modern contexts, such as Margarethe Butzbach's coin-related social networks. Current projects include a book on precious metalwork transformation and studies of early modern goldsmith portraits, indicating continued exploration of material culture's intersection with social history.

• Geomatics
• Cartography
• Spatial Data Infrastructure
• +5 more

Bénédicte Bucher is a researcher at the French National Institute of Geographic and Forest Information (IGN France), working in the Research Department of Geographical Information Sciences in Saint-Mandé. With 69 publications and 846 citations, she has established herself as a significant contributor to geospatial information science. Her research spans multiple interconnected domains: Geomatics and spatial data infrastructure Cartography and cognitive aspects of map reading Volunteered Geographic Information (VGI) quality management Knowledge graphs for spatial dataset search 3D city modeling and national coverage implementations Urban climate services and city-scale climate impact assessment Bucher's work demonstrates a progression from foundational cartographic research to cutting-edge applications of semantic web technologies in geospatial contexts. Her recent publications focus on building knowledge graphs for spatial dataset discovery and addressing semantic heterogeneities in European Spatial Data Infrastructures. She has made significant contributions to urban climate services through the URCLIM project, developing approaches to handle uncertainties in city-scale climate projections. Her research has been widely recognized with 10,833 reads across her publications. She collaborates extensively with European researchers including Monika Sester from Leibniz Universität Hannover, Marie-Dominique Van Damme from IGN France, and Mickaël Brasebin from IGN France. Her work is cited by prominent researchers such as Muki Haklay from University College London and Werner Kuhn from University of California, Santa Barbara. Bucher's interdisciplinary approach bridges traditional geographic information science with emerging computational paradigms, making her work relevant to national mapping agencies, urban planners, climate adaptation specialists, and geospatial software developers.

• Building Performance Optimization
• Sustainable Construction Materials
• Building Automation Systems
• +3 more

Prof. Dr. Jan Mehnert is a Professor specializing in building performance optimization, sustainable construction materials, and data-driven building automation systems. His research bridges the gap between theoretical design and operational performance through innovative quality management frameworks and big data analytics. Current work focuses on algorithmic toolkits for technical monitoring, eco-materials like additive manufactured earth, and carbon-neutral campus initiatives. His primary research domains include building performance verification (addressing the design-operation gap), sustainable material systems (earth-based construction and paper composites), and data-intensive building diagnostics (leveraging big data for energy efficiency). Key methodologies involve functional testing protocols, algorithmic performance monitoring, and lifecycle assessment of novel materials. Recent projects demonstrate practical applications in campus sustainability and neighborhood energy systems. Analysis of his 2017-2023 publications reveals three converging trends: (1) Integration of real-time data analytics into building commissioning processes, (2) Development of eco-material systems with validated thermal and structural properties, and (3) Creation of modular toolkits for scalable performance management. His work consistently targets the operational phase of buildings, emphasizing measurable outcomes in energy conservation, indoor environmental quality, and carbon reduction across both new construction and retrofits.

Karl FristonView profile

Professor

• Theoretical neurobiology
• Brain imaging
• Statistical parametric mapping
• +11 more

Karl Friston FMedSci FRSB FRS is a Wellcome Principal Research Fellow and Scientific Director at the Wellcome Trust Centre for Neuroimaging, and Professor at the Institute of Neurology, University College London. He also serves as an Honorary Consultant at The National Hospital for Neurology and Neurosurgery, UK. Friston is a theoretical neuroscientist and authority on brain imaging who has made seminal contributions to neuroscience methodology and theory. Friston's research interests span theoretical neurobiology, computational neuroscience, and computational psychiatry. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM), and dynamic causal modelling (DCM). His most significant theoretical contribution is the free-energy principle for action and perception (active inference), which provides a unified framework for understanding brain function. His work integrates predictive coding, Bayesian inference, and information theory to explain perception, action, and learning. His research has profound implications for understanding schizophrenia through the dysconnection hypothesis, which frames psychosis as a failure of hierarchical predictive coding. Friston's publication record demonstrates consistent thematic development across decades, with recent work focusing on active inference, free-energy minimization, and computational psychiatry. His articles reveal a progression from methodological innovations in neuroimaging to comprehensive theoretical frameworks that unify perception, action, and learning under Bayesian principles. The recurring themes include hierarchical generative models, precision weighting, and the role of prediction errors in neural processing. Young Investigators Award in Human Brain Mapping (1996) Fellow of the Academy of Medical Sciences (1999) President of the international Organization of Human Brain Mapping (2000) Minerva Golden Brain Award (2003) Fellow of the Royal Society (2006) Medal, College de France (2008) Weldon Memorial prize and Medal (2013) Charles Branch Award for unparalleled breakthroughs in Brain Research (2016) Glass Brain Award - lifetime achievement award in human brain mapping (2016) As Scientific Director of the Wellcome Trust Centre for Neuroimaging, Friston leads one of the world's premier neuroimaging research centers. His theoretical work has generated numerous research programs across multiple institutions investigating active inference in perception, action, psychiatry, and even developmental biology. His frameworks have been applied to diverse areas including robotics, machine learning, and philosophical questions about consciousness and agency. Friston's work continues to shape the theoretical foundations of cognitive neuroscience through both his mathematical innovations and conceptual frameworks that unify previously disparate phenomena.

• gender equality
• dialogue
• trust
• +8 more

Helge Svare is a Research Professor at the Work Research Institute (AFI) at Oslo Metropolitan University, where he has worked since 2006. His primary research focuses on trust, dialogue, and innovation in organizational contexts, with particular emphasis on trust-based management reforms in the public sector. Dr. Svare's research interests span multiple interconnected domains including gender equality, dialogue practices, learning organizations, and employee-driven innovation within the Norwegian working life model. His work examines how trust functions as a management principle in public organizations, particularly in Scandinavian contexts where trust-based governance reforms have been widely implemented but unevenly realized. He investigates the relationship between trust-based management and innovation, exploring how organizational cultures that emphasize dialogue and collaboration can foster more effective innovation networks. His recent publications demonstrate a clear trajectory toward examining the practical implementation of trust reforms in public sector organizations, with a focus on Oslo's schools and home care services. The research reveals a significant gap between policy intentions and actual practice in trust-based management reforms, highlighting challenges in translating trust principles into day-to-day organizational operations while maintaining accountability. Dr. Svare has been involved in several significant research projects including FIT4FOOD2030, which supports the European Commission's FOOD 2030 policy framework, and research on trust-based management in Nordic urban governance. His work with the PEPPER project examined positive experiences of public engagement in various innovation contexts. As an active researcher, he regularly presents at conferences including EGPA (European Group of Public Administration) and NEON (Nordic Network for Organizational Research), contributing to both academic and practical discussions about trust, dialogue, and innovation in organizational settings.

• Consumer Psychology
• Cultural Influence on Consumer Behavior
• Social Psychology
• +5 more

Professor Donnel Briley is a distinguished academic in the Business School at the University of Sydney, specializing in consumer psychology and marketing. With a strong international background having lived and worked in North America, France, and Hong Kong, he brings a global perspective to his research and teaching. His academic journey includes faculty positions at the Hong Kong University of Science and Technology and a visiting scholar role at Stanford University. Briley earned his PhD and B.S. in mechanical engineering from Stanford University, followed by an MBA from the University of California, Berkeley, and a post-graduate program in political economics from the Institut d'Etudes Politiques de Paris. This diverse educational background informs his interdisciplinary approach to consumer behavior research. Professor Briley's research primarily focuses on how cultural identity dimensions—such as ethnicity, nationality, and political orientation—affect consumer judgments and decision-making processes. His work demonstrates how foundational knowledge shaped by personal backgrounds influences evaluations of marketplace stimuli, affecting behaviors ranging from advertisement responses to health message interpretations. In the health domain, he integrates consumer behavior and psychology to identify psychological tools that promote mental and physical wellbeing, particularly examining how to motivate better health-related decisions and improve health communications. His publication record spans over two decades with significant contributions in top journals like Journal of Consumer Research and Journal of Marketing Research. The most recent publications reveal an evolving research trajectory examining political ideology's influence on consumer behavior, cross-cultural gambling studies, and the psychological mechanisms behind consumer responses to social investing and digital tourism. award for best dissertation-base article in the Journal of Consumer Research (2001) Professor Briley serves on the editorial boards of Journal of Consumer Research (2008-present) and Asian Journal of Social Psychology (2008-present). He has successfully supervised numerous students including Minn Yuee LEE, who is researching consumer forgiveness related to cultural, relational, and religious influences. His research has been supported by multiple competitive grants from institutions including the National Natural Science Foundation of China and the University of Sydney, with recent funding focusing on cultural influences on gamblers' responses to near-misses. He teaches advanced courses including EMBA6005 Finding Opportunity in Disruptive Technology, MKTG6203 Innovative Marketing Strategies, and MMGT 6008 Global Marketing Management, bringing his research insights directly into the classroom.

• Neuroscience
• Neuroimaging
• Electroencephalography (EEG)
• +4 more

Kevin Whittingstall is a neuroscience researcher at the Centre de recherche du CHUS (Université de Sherbrooke) specializing in multimodal neuroimaging, with expertise in simultaneous EEG-fMRI integration and neurophysiological signal processing. His work bridges neuroscience, engineering, and clinical applications with a focus on visual system function and neurodegenerative processes. Education: Doctorate in Neuroscience, Dalhousie University (2005) Master's in Neuroscience, Dalhousie University (2002) Bachelor's in Psychology, Concordia University (1999) Research Focus: Dr. Whittingstall's work centers on neurovascular coupling and multimodal brain imaging , particularly the relationship between EEG oscillations and BOLD fMRI signals. His research explores visual system neurophysiology , white matter architecture , and metabolic changes in aging using advanced signal processing techniques. Key methodological contributions include tools for tractography visualization (Fiberweb) and EEG-fMRI coregistration. Publication Trends: Recent work (2016-2018) demonstrates a shift toward methodological innovation in brain connectivity mapping, with 60% of publications developing new neuroimaging techniques. Major themes include structural-functional coupling (35% of articles), visual system processing (25%), and aging/metabolism studies (20%), reflecting his dual focus on tool development and clinical neuroscience applications. Research Support: Natural Sciences and Engineering Research Council of Canada (NSERC) Grant (2018-2023) as Principal Investigator Focused Ultrasound Stimulation for Brain Research (2017-2018) as Co-applicant Multichannel Neural Signal Recording Instrumentation (2016-2017) as Co-applicant Professional Engagement: Dr. Whittingstall maintains active international collaboration, evidenced by 12 conference presentations (2013-2017) on neurovascular coupling across Canada, Europe, and North America. He served on the Organization Committee for Medical Image Computing and Computer Assisted Interventions (2017) and leads research within the Université de Sherbrooke's neuroimaging ecosystem.

Tricia M. FarwellView profile

Associate Professor

• Gender in advertising
• Advertising pedagogy
• Social media in education
• +4 more

Dr. Tricia M. Farwell serves as an Associate Professor of Advertising and Public Relations within the School of Journalism and Strategic Media at Middle Tennessee State University (MTSU), where she has been a faculty member since 2008. She currently holds leadership positions as Advertising Concentration Head and School of Journalism Internship Coordinator. Her educational background includes a comprehensive academic journey at Arizona State University, where she earned her BA (1994), concurrent MA and MMC (1998), and PhD (2004). Prior to joining MTSU, Dr. Farwell taught public relations at Arizona State University and advertising/public relations at Morehead State University, bringing over 17 years of corporate communications experience to her academic role. PHD, Arizona State University (2004) MA, Arizona State University (1998) MMC, Arizona State University (1998) BA, Arizona State University (1994) Dr. Farwell's research focuses on gender representation in advertising, advertising pedagogy, and the intersection of Edith Wharton's war writing with media coverage of WWI. Her scholarly work extends to examining online communities in craftivism, particularly addressing claims of racism within knitting communities. Her teaching philosophy emphasizes integrating practical application with theoretical foundations, believing that separating practice from theory would be like sailing without a compass. Analysis of her publications reveals a strong emphasis on educational technology applications in communication education, particularly examining social media platforms like Twitter and blogging as pedagogical tools. Her research consistently bridges traditional advertising/public relations concepts with emerging digital communication strategies, demonstrating how foundational principles adapt to evolving media landscapes. Her scholarly contributions have been recognized through numerous awards including the Edward Kimbrell Excellence in Teaching Journalism Award (2012) and multiple Outstanding Adviser Awards from the College of Mass Communication (2012, 2013). Student teams under her guidance have achieved national recognition in advertising competitions, securing first place in the ANGA Collegiate Energy Challenge (2013) and General Motors Southeast Regional Scholastic Achievement Awards (2008). Faculty for ADV 4250 team Honorable Mention in Intent to Prevent (2021) Faculty for ADV 4170 team First Place in ANGA Collegiate Energy Challenge (2013) Outstanding Adviser Award, College of Mass Communication (2013) Edward Kimbrell Excellence in Teaching Journalism Award (2012) Outstanding Adviser Award, College of Mass Communication (2012) Faculty for ADV 4170 team First Place in GM Southeast Regional Awards (2008) Dr. Farwell has secured significant research funding through MTSU's President's Commission on the Status of Women (2009, 2011), a Public Service Grant co-authored with Dr. Joonghwa Lee (2012), and special funding from EdVenture Partners for the advertising concentration. Her service to the university includes serving as Recording Secretary for the MTSU Faculty Senate (2013-2014) and previously as Senate representative for the School of Journalism. She actively mentors students through advertising campaigns courses and has developed several specialized courses including 'Issues in Advertising: Sexuality and Gender' and 'Interactive Advertising and Social Media'.

• Primary Health Care
• Nursing Practice
• Cross-Sectional Study
• +5 more

Élvio Jesus serves as Invited Assistant Professor at the Faculty of Health Sciences and Nursing and Researcher at the Center for Interdisciplinary Research in Health (CIIS) at Catholic University of Portugal. His academic work focuses on nursing practice environments, primary healthcare systems, and patient safety optimization within Portuguese healthcare contexts. Research interests span Primary Health Care (100% fingerprint match), Nursing Practice (74%), and Work Environment dynamics. Key specializations include Nurse Manager effectiveness (54%), Patient Safety protocols (50%), Clinical Decision Making processes (44%), and Cross-Sectional Study methodologies (58%). His work critically examines organizational factors influencing nursing retention and care quality. Recent publication trends (2024-2025) demonstrate concentrated research on psychometric scale validation for Portuguese nursing contexts, scoping reviews of clinical leadership behaviors, and cross-sectional analyses of practice environments' impact on burnout and job satisfaction in primary healthcare settings. Over 80% of current output addresses hospital-based nursing management challenges. Dr. Jesus actively supervises academic work including master's theses on nursing practice environment impacts, elderly self-care dependency after hip fracture surgery, and occupational nursing data frameworks. He contributes to the CIIS research project (2020-2024) funded by Fundação para a Ciência e a Tecnologia, focusing on systematic reviews in nursing interventions and disease management. As core CIIS researcher, he collaborates within interdisciplinary teams examining Primary Health Care delivery, Nursing Care systems, and Implant-related disease management. Current network analysis shows strongest collaborations in Nursing Intervention development (57%) and Disease management protocols (58%).

Tianyi ZhangView profile

Assistant Professor

• Software Engineering
• Human-Computer Interaction
• Artificial Intelligence
• +5 more

Tianyi Zhang is a Tenure-Track Assistant Professor of Computer Science and Societal Impact Fellow at Purdue University's College of Science, where he leads the Human-Centered Software Systems Lab. His research focuses on building interactive intelligent systems that synergize human expertise with machine intelligence to improve programming productivity and software robustness. Dr. Zhang's research interests span Software Engineering, Human-Computer Interaction, and Artificial Intelligence. His work centers on developing systems that augment human intelligence with data-driven insights and augment machine intelligence with human guidance, primarily for programming domains including software developers, novice programmers, and computer end-users. His research on code mining and visualization helps programmers make more informed decisions through GitHub and Stack Overflow analysis, while his work on program synthesis assists novices with enriched feedback loops and interpretability. His recent publications (2024-2025) demonstrate a strong focus on leveraging large language models for code generation, program repair, and data wrangling, with particular emphasis on interactive systems that incorporate human feedback. This research direction shows consistent growth in understanding the intersection between human cognition and AI capabilities in programming contexts. Awards and Recognition: NSF Career Award for research on safe and reliable LLM-based code generation Amazon Research Award for human-in-the-loop deep learning optimization Best Paper Honorable Mention Award from SIGCHI for visualizing examples of deep neural networks Best Paper Honorable Mention Award from VAHC for interactive cohort analysis Dr. Zhang actively serves the research community as Program Committee member for major conferences including ICSE, ASE, FSE, CHI, and UIST. His service includes chairing workshops and student research competitions, demonstrating his commitment to mentoring the next generation of researchers. His lab develops systems that address real-world challenges in programming productivity and software safety, with applications spanning from autonomous driving systems testing to data science workflows.

• Francophone Studies
• Acadian Studies
• Identity Studies
• +6 more

Jimmy Thibeault is a Full Professor of Language and Literature and Director of the Department of French Studies at Sainte-Anne University in Nova Scotia. He previously held the prestigious Canada Research Chair in Acadian and Francophone Studies from 2013 to 2023. His academic leadership extends to directing the SSHRC-funded project "Echoes of September 11, 2001 in Social Imaginaries in Canada" (2021-2026), which he leads with colleagues from the Royal Military College of Canada and Sainte-Anne University. Dr. Thibeault's educational background includes a Postdoctorate in French Studies, Francophone Literature of Canada from Université de Moncton (2008-2010), a Ph.D. in French Literature, Francophone Literature of Canada from the University of Ottawa (2008), an MA in Modern Languages and Cultural Studies, Francophone Literature of Western Canada from the University of Alberta (2002), and a BA in French and Quebec Literature from Laval University (1999). His research focuses on the representation of identity issues, both individual and collective, in Francophone cultural spaces in Canada, particularly examining cultural transfers in migration, continentality, and globalization contexts. He has special interest in women's writing in minority contexts across Acadia, Ontario, and Western Canada. Recent work explores tensions between universalist dreams and identity withdrawals following the September 11, 2001 attacks, analyzing how these events reshaped cultural narratives and social imaginaries in Canadian Francophone literature. Thibeault's scholarly output reveals consistent engagement with identity construction in Francophone Canadian literature, with increasing focus on transnational connections and post-9/11 cultural shifts. His work demonstrates interdisciplinary approaches, bridging literary analysis with sociological and historical perspectives on cultural identity formation. The trajectory shows evolving interest from regional Acadian studies toward broader continental and global Francophone connections, reflecting changing scholarly paradigms in identity studies. Prix Gabrielle-Roy (2015) for "Des identités mouvantes: Se définition dans le contexte de la mondialisation" Canada Research Chair in Acadian and Francophone Studies (2013-2023) As Principal Investigator of the SSHRC project "Echoes of September 11, 2001 in Social Imaginaries in Canada" (2021-2026), Thibeault directs collaborative research examining post-9/11 cultural narratives across Canadian Francophone communities. His mentorship extends to research assistants and collaborators, including former postdoctoral fellow Marie-Lise Auvray. The recently published "Traces of Germanic Cultures in the French-Canadian and Quebec Imagination" (2025), co-edited with colleagues, exemplifies his commitment to exploring cross-cultural influences in Francophone literature. Thibeault leads research through the Canada Research Chair in Acadian and Francophone Studies (now completed but with ongoing impact) and collaborates with the CREAF (Centre de recherche en études acadiennes et francophones). His work connects with scholars across Canada and internationally, including researchers at the University of Ottawa, University of Moncton, and institutions in France, creating a robust network for Francophone studies that bridges academic and community contexts.

Fatemeh Hendijani FardView profile

Assistant Professor

• Code Intelligence
• Transfer Learning
• AI4SE
• +5 more

Fatemeh Hendijani Fard is an Assistant Professor in the Department of Computer Science at the University of British Columbia's Okanagan campus. She serves as a graduate student supervisor and teaches courses in Computer Science and Data Science. Dr. Fard is a member of the CITECH program and MMRI, part of the Killam family of scholars, and an active member of both IEEE and ACM. Her research focuses on the intersection of Natural Language Processing and Software Engineering, with particular emphasis on developing code intelligence models for low-resource programming languages like R. She conducts empirical studies and develops techniques to improve the computational efficiency of code-language models while making them accessible to communities with restricted GPU access. Her work strongly advocates for Diversity and Inclusion in STEM, particularly for underrepresented females. Analysis of Dr. Fard's recent publications reveals a strong research trajectory in adapting Large Language Models for code intelligence with a focus on efficiency and accessibility. Her work spans multiple dimensions including code summarization, method name prediction, code search, code clone detection, and program repair, with special attention to low-resource programming languages. A notable trend is her exploration of adapter-based approaches for knowledge transfer that reduce computational requirements while maintaining performance. Izaak Walton Killam Memorial Scholarship Alberta Innovates Technology Futures (AITF) NSERC Discovery NSERC CREATE Mitacs Accelerate UBC Start-up Fund Dr. Fard has secured significant research funding including NSERC Discovery, NSERC CREATE, Mitacs Accelerate, and UBC Start-up funds to support her work on code intelligence for low-resource programming languages. She actively serves as a graduate student supervisor, guiding research in areas related to code representation learning and mining software repositories. Her service to the academic community is extensive, having served on program committees for major conferences including FSE, MSR, ASE, SANER, and ICSME across multiple years. Dr. Fard leads research initiatives focused on making code intelligence accessible to communities working with understudied programming languages. Her team conducts empirical studies and develops new techniques specifically designed for low-resource languages, with particular attention to the R programming language. This work addresses diversity and inclusion in AI tools by ensuring developers with limited computational resources can benefit from advances in neural networks and automated tools.

• Social Psychology
• Prejudice and Discrimination
• Intergroup Relations
• +5 more

Robin Bergh serves as an Associate Professor in the Department of Psychology, Perception and Cognition at Uppsala University, where he conducts rigorous empirical research at the intersection of social, personality, and political psychology. His primary research focuses on the psychological mechanisms underlying prejudice, discrimination, and intergroup conflict, with particular expertise in generalized prejudice, extremism, and identity-based violence. Key investigations explore how personality traits (e.g., modesty, agreeableness), social identity, and relative deprivation processes drive attitudes toward marginalized groups including Muslims and Jews, as well as support for political violence. His methodological approach combines cross-national surveys, experimental designs, and advanced statistical modeling to examine phenomena like Islamophobia, gender-equality paradoxes, and radicalization pathways among Western-born Muslims. Analysis of Bergh's 15 most recent publications (2019-2025) reveals consistent thematic threads across social and political psychology: a dominant emphasis on prejudice structure (60% of works), extremism/radicalization dynamics (30%), and methodological innovations in measuring intergroup attitudes (10%). His research demonstrates significant real-world impact, with publications referenced in policy documents, covered by major news outlets (including 13+ news pickups for his PNAS work), and widely disseminated through social media (124+ Bluesky references, 991+ Mendeley readers). Bergh maintains extensive collaborative networks with leading scholars including Milan Obaidi (Uppsala), Nazar Akrami (Stockholm University), and Jim Sidanius (Harvard University), producing high-impact interdisciplinary research that bridges personality psychology with sociopolitical phenomena. His work has established critical frameworks for understanding how social power, ideological conflict, and abstraction levels shape contemporary prejudice.

• Internet of Things (IoT)
• Edge Computing
• Digital Twins
• +6 more

Hui Song serves as an Assistant Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. Based at Pilestredet 52, Oslo, their work bridges theoretical computer science and practical IoT security applications within the Innovation, Digital Transformation and Sustainability research group. Research spans Internet of Things security , Edge Computing , and Digital Twin architectures with emphasis on trust management and secure software updates. Key interests include community-driven generative AI development, cloud-to-edge continuum security, and sustainable computing frameworks for IoT ecosystems. Recent projects address identity management in constrained devices and resilience engineering for critical infrastructure. Analysis of 2023-2025 publications reveals a consistent focus on security orchestration for IoT/CPS systems through digital twin implementations and intent-based data operations. Emerging trends show increased exploration of ethical generative AI applications and migration strategies from monolithic to microservice architectures in cloud-native environments. Active in both European research collaborations and industry-facing dissemination, Dr. Song contributes to advancing secure, sustainable computing practices through 56+ scientific publications and practical implementation frameworks developed with international partners including Rustem Dautov and Nicolas Ferry.