Find Academic Supervisors

Til WykesView profile

Clinical Professor

• Clinical Psychology
• Rehabilitation Psychology
• Schizophrenia Research
• +5 more

Dame Til Wykes is a Clinical Professor at King’s College London, leading the School of Mental Health & Psychological Sciences and the Service User Research Enterprise (SURE) . Her work focuses on psychological treatments for schizophrenia , cognitive remediation therapy , and digital mental health services , with international impact on research strategies through projects like European ROAMER and UK Mental Health Research Goals . Education : PhD (University of Sussex), MPhil (King’s College London), BSc (University of Nottingham) Leadership : Head of School (2020–present), Co-Director of SURE, NIHR Maudsley BRC Cluster Lead Research Themes : • Cognitive Remediation Therapy for schizophrenia and psychosis • Digital Mental Health Tools (RADAR-CNS, CIRCuiTS™ software) • Service User Involvement in research design and implementation • Ward Design and Therapeutic Environments in psychiatric inpatient care Selected Scientific Awards : British Psychological Society (2014) GUINNESS WORLD RECORD for Largest Mental Health Lesson Damehood from the Queen (2016) EPA Outstanding Achievement Award SIRS Lifetime Achievement Award (2024) Leadership and Collaborations : President of the Schizophrenia International Research Society (SIRS), Fellow of multiple academies (Medical Sciences, Social Sciences), and Trustee of Weight Concern. She co-leads projects like ECLIPSE and MEMReD , and has contributed to 17 Pharmacological and Psychosocial Treatments in Schizophrenia (3rd ed.).

Randy HarrisView profile

Professor

• Rhetoric
• Computational Rhetoric
• Cognitive Linguistics
• +8 more

Randy Harris is a Professor in the Department of English Language and Literature at the University of Waterloo, with a cross-appointment to the David Cheriton School of Computer Science. His career spans over three decades, focusing on the intersection of rhetoric , cognitive science , and computational linguistics . He holds a PhD in Communication and Rhetoric from Rensselaer Polytechnic Institute, with postdoctoral experience at the University of Alberta. Education : PhD (Rensselaer), MSc (Rensselaer, Alberta), MA (Dalhousie), BA (Queen's) Research Interests : Cognitive Rhetoric, Computational Rhetoric, Rhetorical Figures, Construction Grammar, Rhetoric of Science, and Neurocognitive Stylistics. His work explores how rhetorical figures like chiasmus and antimetabole reflect brain structure and cognitive processing. Recent projects involve building the Rhetoricon , a collocational database of rhetorical figures, and investigating their role in large language models . He has received numerous awards, including the University of Waterloo Arts Award for Excellence in Research (2023) and Fellow of the Royal Society of Canada (2022) . Harris has supervised graduate students in professional communication , linguistics , and science writing . His grants include NSERC Discovery Horizon (2024-2029) and multiple SSHRC grants for Computational Rhetoric and Rhetorical Figure Ontology . He actively organizes interdisciplinary workshops like Computing Figures and contributes to media discussions on language, AI, and rhetoric.

Derek DuncanView profile

Professor

• Transnational Italian Studies
• Migration and Mobility Studies
• Queer Theory
• +3 more

Derek Duncan serves as Professor of Italian at the University of St Andrews' School of Modern Languages, specializing in Italian Cultural Studies. Previously holding a professorship at the University of Bristol, he directs the Italian Centre for Contemporary Art and contributes significantly to transnational humanities research. His educational background includes French and Italian studies at Aberdeen University followed by doctoral work at Edinburgh. Duncan's research centers on intersections of sexuality/gender and race/ethnicity in modern Italian culture through queer and critical race theory frameworks, with notable courses including 'Black Italians,' 'Fascist Italy,' and 'Cultures of Migration.' Analysis of his recent publications reveals consistent focus on Mediterranean migration narratives, transnational identity formation, and creative humanities methodologies. His work frequently connects historical events like the Arandora Star sinking with contemporary migration crises, emphasizing transcolonial continuities. Leverhulme Major Research Fellowship (2019-2022) Multiple AHRC-funded projects including Transnationalizing Modern Languages Founding editor of Liverpool University Press series: Transnational Italian Cultures and Transnational Modern Languages Duncan actively supervises research and collaborates with artists like Davide D'Elia on projects such as Tiepido Cool. His work with the Centre for Poetic Innovation demonstrates commitment to bridging academic research and artistic practice, while his global challenges project in Namibia reflects international engagement. Current research examines Mediterranean migration through the lens of the Arandora Star disaster and its contemporary resonances.

Jingrui HeView profile

Professor

• heterogeneous machine learning
• active learning
• neural bandits
• +9 more

Jingrui He is a Professor and MSIM Program Director at the School of Information Sciences, University of Illinois Urbana-Champaign. She holds multiple faculty affiliate positions including with the Department of Computer Science, National Center for Supercomputing Applications (NCSA), Illinois Informatics, Center for Digital Agriculture (CDA), and Mayo Clinic Arizona. Her research spans machine learning with applications in diverse domains including healthcare, agriculture, security, and finance. Dr. He received her PhD in Machine Learning from Carnegie Mellon University in 2010. Her research focuses on heterogeneous machine learning, active learning, neural bandits, and self-supervised learning. She addresses complex data challenges where multiple types of heterogeneity coexist, developing methods for exploring, understanding, characterizing, and predicting real-world data through statistical machine learning techniques. Her recent publications demonstrate a strong focus on graph learning, federated learning, fairness in AI, and neural bandit algorithms. She has developed innovative approaches for class-imbalanced graph learning, Byzantine-robust federated learning, and privacy-preserving graph machine learning. Her work bridges theoretical foundations with practical applications across multiple domains. Her scientific awards include the Amazon Research Award (2025), ACM Distinguished Member (2023), AAAI Senior Member (2023), FAccT Distinguished Paper Award (2022), NSF CAREER award (2016), and multiple IBM Faculty Awards. She has been recognized as an excellent teacher and received Best Paper awards at major conferences including ICDM and SDM. Dr. He directs the iSAIL Lab and leads several major research projects including the AI Institute for Future Agricultural Resilience Management and Sustainability (AIFARMS). She has successfully mentored numerous doctoral students who have become co-authors on her publications. Her research has been funded through prestigious grants including the NSF CAREER award and IBM Faculty Awards.

Jason HartlineView profile

Professor

• Mechanism Design
• Auction Theory
• Algorithmic Game Theory
• +4 more

Jason Hartline is a Professor of Computer Science at the McCormick School of Engineering, Northwestern University, with a courtesy appointment in Managerial Economics & Decision Sciences. His research bridges computer science and economics, focusing on mechanism design, auction theory, and approximation algorithms. Ph.D. in Computer Science from the University of Washington (2003) Postdoctoral Fellow at Carnegie Mellon University (2003-2004) Researcher at Microsoft Research (2004-2007) His work develops methodologies to analyze and design economic systems using computational theory, particularly in auction mechanisms and non-truthful settings. Key contributions include the textbook Mechanism Design and Approximation and frameworks for Bayesian and prior-independent mechanism design. Recent publications (2018-2023) span topics like non-truthful mechanism learning, multi-dimensional agent modeling, and computational law. Collaborations include researchers from Harvard, Microsoft, and institutions across economics and theoretical computer science. Grants include multiple NSF awards (CCF, ECCS, HDR TRIPODS) for projects in data economics, machine learning integration, and peer grading systems. Former advisees hold academic positions at Stanford, Yale, and Penn State.

• Machine Learning
• Data Science
• Network Science
• +5 more

Luca Luceri is a Research Assistant Professor at the Thomas Lord Department of Computer Science at the University of Southern California (USC) and serves as a Lead Scientist at the USC Information Sciences Institute (ISI) . His work bridges machine learning , data science , and network science to address online harms like misinformation and social media manipulation . Education: Ph.D. in Computer Science, University of Bern, Switzerland M.Sc. in Telecommunications Engineering, Polytechnic University of Milan, Italy B.S. in Telecommunications Engineering, Polytechnic University of Bari, Italy Luca’s research focuses on computational social science and AI for social good , particularly analyzing malicious behaviors and social influence in socio-technical systems. He designs algorithms to detect influence campaigns and online harms , emphasizing actionable mitigation strategies. His recent publications (e.g., Contextualizing Internet Memes Across Social Media Platforms , Leveraging Large Language Models for Influence Campaign Detection ) reflect interdisciplinary trends in network science , NLP , and behavioral modeling applied to real-world socio-political challenges. Scientific Awards: Young Investigator Award for AI research (Embassy of Italy) Best Presentation & Paper Awards (Web Conference 2024) Best Paper Award (BeyondFacts’24) Luca co-leads the DARPA INCAS program and the Swiss NSF-funded CARISMA project , collaborating with policymakers to create scalable tools for combating geopolitical influence campaigns and online harms .

• Consumer Behaviour
• Social Media
• Entrepreneurship
• +3 more

Dr. Valeria Noguti is a Lecturer in the Marketing Discipline Group at the University of Technology Sydney (UTS) Business School. She holds a PhD in Management/Decision Sciences from INSEAD (France), alongside undergraduate degrees in IT (FATEC-SP) and Management (FEA-USP), and a Master’s in Management (FEA-USP). Her research focuses on consumer behavior, social media, entrepreneurship, and communications, employing methodologies like quantitative and qualitative analysis, particularly automated-text analysis. She coordinates post-graduate courses in Marketing, including Buyer Behaviour and Digital Consumer Behaviour, and serves as Undergraduate Director for the Bachelor of Business (Marketing Major). Education: PhD in Management/Decision Sciences, INSEAD, France Master’s in Management, FEA-USP, Brazil Bachelor’s in Management, FEA-USP, Brazil Bachelor’s in IT, FATEC-SP, Brazil Dr. Noguti’s research explores how social media usage patterns influence consumer behavior, with a focus on advertising effectiveness, gender differences, and startup funding dynamics. Her work bridges behavioral economics and marketing, emphasizing practical implications for businesses and social media platforms. She has received grants for studies on opinion impacts on product preferences and has contributed to funded research on technological startups. Her teaching emphasizes contemporary marketing challenges, including digital consumer insights. She is available for supervision of Master’s and PhD students. Languages: English (fluent), Portuguese (fluent), French (fluent).

Elizabeth Simmons-O'NeillView profile

Senior Lecturer

• collaborative learning
• Community-engaged learning
• Education
• +8 more

Elizabeth Simmons-O'Neill is a Principal Lecturer Emerita in the Department of English at the University of Washington, College of Arts & Sciences. She holds roles including Associate Director of the Expository Writing Program, Community Literacy Program Director, English 121 Faculty Mentor, and UW in the High School English Faculty Coordinator. Her education includes a B.A. in English and American Literature from the University of Montana (1978), an M.A. (1982), and a Ph.D. (1988) in English Language and Literature from the University of Washington. Her research focuses on writing pedagogy, interdisciplinary writing, community-engaged learning, and multilingual/global teaching strategies. She emphasizes collaborative learning, student retention, and K-20 educational partnerships. She teaches courses in expository and interdisciplinary writing and has led initiatives such as the Community Literacy Program and UW in the High School program.

Nerissa BrownView profile

Professor

• Accounting
• Financial Reporting
• Audit Practices
• +3 more

Nerissa Brown is the Associate Dean of Graduate Programs , Professor of Accountancy , and Chief Learning Innovation Officer at the Gies College of Business , University of Illinois Urbana-Champaign. She holds the Josef and Margot Lakonishok Faculty Fellow and PwC Faculty Fellow titles. Her work bridges auditing, financial reporting, and technology, with a focus on investor behavior, non-GAAP disclosures, and AI-driven financial practices. Located at 515 Gregory Dr, Champaign, she is accessible via nerissab@illinois.edu. Research interests include auditing ethics, cross-border reporting requirements, SEC enforcement impacts, and AI applications in earnings forecasting. Recent studies highlight topics like corruption detection via Google Document analysis and investor responsiveness to non-GAAP metrics. Key Awards: Lakonishok and PwC Faculty Fellowships. Labs/Teams: Leads innovation initiatives as Chief Learning Innovation Officer, integrating educational technology advancements.

Zhiyu QuanView profile

Assistant Professor

• Actuarial Science
• Data Science
• Computational Statistics
• +3 more

Zhiyu (Frank) Quan is an Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC), holding positions in the Department of Mathematics, Department of Statistics, and National Center for Supercomputing Applications (NCSA). He is also an affiliate faculty member at Discovery Partners Institute as InsurTech Lead and serves as an ORMI Faculty Fellow in Finance. His research focuses on data science applications in actuarial science, including tree-based models, natural language processing, and deep learning for insurance risk modeling, predictive analytics, and InsurTech innovation. Education: Ph.D. in Actuarial Science (University of Connecticut, 2019), MS in Applied Statistics (Michigan State University, 2014), and BS in Mathematics and Applied Mathematics (Xiamen University, 2012). Research interests include computational statistics, insurance analytics, and leveraging machine learning for actuarial challenges such as claim prediction, rate-making, and cyber risk modeling. He leads the Illinois Risk Lab, bridging academic research with industry needs, and has pioneered hybrid tree-based models to address imbalanced data in insurance. Notable achievements include the Arnold O. Beckman Research Award and Society of Actuaries Research Institute recognition. He advises two doctoral students and teaches advanced predictive analytics courses, emphasizing practical applications in actuarial science and data ethics. Key collaborations involve InsurTech companies and NCSA, focusing on NLP-driven academic paper repositories (CyLit) and federated learning for privacy-preserving insurance data sharing. His work addresses real-world challenges in cyber insurance and automated machine learning systems.

Becky HuangView profile

Professor

• Multilingual Education
• Language Assessment
• Child and Adolescent Development
• +3 more

Becky Huang is a Professor in the Department of Teaching and Learning at The Ohio State University, housed within the College of Arts and Sciences. She holds affiliations with the Center for Languages, Literatures and Cultures and serves on multiple editorial boards, including Language Assessment Quarterly and Language Testing. Additionally, she co-founded the International Language Testing Association’s (ILTA) Language Assessment for Young Learners special interest group and participates in award committees for the American Educational Research Association (AERA). Dr. Huang earned a PhD and MA in Educational Psychology from UCLA (2009 and 2006), an MEd from Harvard University (2002), followed by postdoctoral fellowships at Educational Testing Service (2010–2012) and Harvard University (2009–2010). Her research focuses on promoting language and literacy outcomes for multilingual students, spanning applied linguistics, psychology, and education. Key areas include assessing multilingual learners’ language proficiency, examining socioeconomic factors influencing language development, and designing equitable educational interventions. Her grants include leadership roles in projects such as the NIH-funded study on pandemic impacts on young dual language learners (2021–2022) and the Institute of Education Sciences-supported inquiry-based reading intervention (2020–2024). Notably, she contributed to the U.S. Department of Education Title VI grant for Chinese immersion teacher training (2022–2026) and co-led the ILTA’s Language Assessment for Young Learners initiative. She also advocates for education equity through collaborations with non-profit organizations. Her work emphasizes bridging theory and practice, particularly in creating assessments that fairly evaluate multilingual students’ abilities and addressing disparities faced by minoritized learners. She explores how language skills influence content-area learning (e.g., math, science) and the role of teachers in bilingual students’ outcomes.

David GarlanView profile

Professor

• Software Engineering
• Software Architecture
• Self-Adaptive Systems
• +4 more

David Garlan is a Professor at the Software and Societal Systems Department within the School of Computer Science at Carnegie Mellon University , where he also serves as Associate Dean for Master’s Programs . He received his Ph.D. from Carnegie Mellon in 1987 after working in industry as a software architect. His research focuses on controlling complexity in large software systems through formalized architectural design, self-adaptive systems, and cyber-physical systems. He developed AcmeStudio , a widely used architecture design environment, and pioneered formal representation and analysis of software architecture. Education : Ph.D. in Computer Science (Carnegie Mellon, 1987) Research Interests include: Software Architecture: Formal methods for architectural design, end-user composition, and architectural styles Self-Adaptive Systems: Stochastic planning, model checking, security adaptation, and uncertainty reduction Cyber-Physical Systems: Multi-view design methods, consistency checking, and automotive systems Recent Article Trends address microservice resiliency, hybrid planning (combining formal methods and ML), simulation-augmented robotics, and sustainable machine translation. Themes include stochastic modeling , probabilistic verification , and adaptive decision-making . Scientific Awards : Stevens Award Citation (2005) ACM SIGSOFT Outstanding Research Award (2011) Allen Newell Award for Research Excellence (2016) IEEE TCSE Distinguished Education Award (2017) Nancy Mead Award (2017) Fellow of IEEE and ACM Advising and Grants : He has advised 25+ graduate students and collaborated on projects with Toyota and the Software Engineering Institute. His work includes model-based adaptation, automated planning, and formal verification of adaptive systems. Labs & Teams : Affiliated with the Institute for Software Research and works on tools like AcmeStudio, Rainbow, and IPL for architectural modeling and self-adaptation.

Michelle EllefsonView profile

Professor

• Cognitive Science
• Educational Neuroscience
• Child Development
• +6 more

Professor Michelle Ellefson is a Professor of Cognitive Science at the University of Cambridge's Faculty of Education, where she serves as Director of CAM-DTP and as Undergraduate Tutor for Gonville and Caius College. She convenes the INSTRUCT Research Group (Implementing New Student Thinking Resources Using Cognitive Theory) and is affiliated with multiple interdisciplinary initiatives including Cambridge Neuroscience, Cambridge Big Data, and Cambridge Language Sciences. Her educational background includes a PhD and MA in Brain and Cognitive Sciences from Southern Illinois University and a BA in Psychology, summa cum laude, from the University of Minnesota. She is a member of several professional organizations including the Psychonomic Society, Cognitive Science Society, Women in Cognitive Science, and SPARK Society. Professor Ellefson's research integrates cognition, neuroscience, child development, and education into a multi-disciplinary program aimed at improving math and science education. Her work focuses on executive functions in school achievement, children's causal reasoning about scientific phenomena, and applying cognitive principles like simplicity and desirable difficulties to classroom learning. Her research spans laboratory-based studies paired with classroom applications to understand cognitive development mechanisms and improve educational practice. Her recent publications reveal strong trends in executive function research across cultural contexts, particularly examining East-West contrasts and the relationship between executive functions and academic achievement. Her work increasingly focuses on developing and validating assessment tools like the Zoo Task for metacognitive problem-solving, and she is committed to open science practices including registered reports and pre-registration of studies. Psychonomic Society Cognitive Science Society (CogSci) Women in Cognitive Science (WiCS) SPARK Society Professor Ellefson actively supervises PhD students through the Psychology, Education & Learning Studies program and teaches cognitive psychology and educational neuroscience in the PGCE program. She emphasizes quantitative methods and R programming for data analysis, requiring doctoral students to develop strong statistical skills. Her lab follows Cambridge's inquiry-based learning model and maintains a commitment to diversity and inclusion, welcoming researchers from varied socioeconomic, national, and cultural backgrounds. The INSTRUCT Lab also focuses on open science practices, sharing data and materials through OSF and publishing preprints in Psych-Archive.

Ibrar BhattView profile

Senior Lecturer

• Digital Literacy
• Linguistics
• Higher Education
• +6 more

Ibrar Bhatt is a Senior Lecturer at Queen's University Belfast's School of Social Sciences, Education and Social Work. His research focuses on the intersections of linguistics and higher education, with particular emphasis on digital literacy, epistemology, heritage literacy, and Sino-Muslim communities. He has held prestigious fellowships, including the Leverhulme Research Fellowship (2021–2023), and led projects such as 'Literacy & Harmony: A Study of Sino-Muslim Literacies in Modern China.' Bhatt has authored/co-authored influential books like A Semiotics of Muslimness in China and Assignments as Controversies . He actively contributes to academic governance and editorial roles, including serving as Executive Editor of Teaching in Higher Education . His teaching includes modules like Digital Literacy & Communication (EDU7273). Bhatt's awards include the British Academy Grant and a Best Concise Paper Award. His work explores how digital literacies transform marginalized communities and address epistemological challenges in the postdigital era. Education: PhD from University of Leeds (ESRC-funded). Prior affiliations: Lancaster University, University of Bradford. Research Interests: Digital literacy as a social practice, heritage literacy in religious contexts, sociolinguistics of Islam, and postdigital epistemology. Recent projects include studies on Hong Kong SAR and the Greater Bay Area. His work bridges theory and practice, emphasizing literacy's role in empowerment and identity. Articles Overview: Recent publications focus on semiotic ideologies in social media, postdigital citizen science, and epistemology of deceit. His work highlights interdisciplinary approaches, blending linguistics, education, and sociology. Awards: Leverhulme Fellowship, British Academy Grant, Fellow of the Higher Education Academy. Advising & Grants: Supervises PhD projects on literacy, language education, and digital epistemology. Active in securing grants and fellowships, including a 2025–2027 Leverhulme Research Project Grant. Labs/Teams: Leads initiatives on heritage literacy and collaborates internationally, including visits to Jilin University (China) and King AbdulAziz University (Saudi Arabia).

• Digital Writing
• Generative AI in Education
• Digital Media Studies
• +4 more

Robert E. Cummings is a Professor of Writing and Rhetoric and Executive Director of Academic Innovation at the University of Mississippi. He directs the Interdisciplinary Minor in Digital Media Studies and leads the Academic Innovations Group (AIG) and Center for Excellence in Teaching and Learning (CETL), focusing on evidence-based teaching strategies and professional development for faculty. His academic roles emphasize bridging technology and pedagogy, particularly in digital writing instruction. Education: B.A. in English, University of Tennessee-Knoxville (1990) M.A. and Ph.D. in English, University of Mississippi (1999, 2006) Research Interests: Cummings explores the intersection of digital tools and writing pedagogy, including generative AI’s impact on writing, Wikipedia’s role in education, and post-pandemic digital instruction. He collaborates with computer science researchers to study AI-human dynamics in writing processes. His work emphasizes open educational practices, resilience in teaching, and inclusive digital platforms. Publications Trends: His articles analyze AI writing tools, pandemic-era pedagogy shifts, and long-term trends in digital writing instruction. Recent work focuses on frameworks for integrating AI into first-year writing programs while addressing ethical and practical challenges. Awards: No scientific awards explicitly mentioned in the provided materials. Advising & Grants: No student advising records or grant details are listed. Current responsibilities include curriculum development and institutional innovation initiatives. Labs/Teams: Leads the Academic Innovations Group and collaborates with CETL to advance teaching strategies across the University of Mississippi campus.