Find Academic Supervisors

Zhuowen TuView profile

Professor

• Computer Vision
• Machine Learning
• Deep Learning
• +9 more

Zhuowen Tu is a Professor in the Department of Cognitive Science at the University of California, San Diego (UCSD), with an affiliate appointment in the Department of Computer Science and Engineering. He leads the Machine Learning, Perception, and Cognition Lab (mlPC), where his research lies at the intersection of computer vision, machine learning, deep learning, natural language processing, and neural computation, focusing on statistical models for structured, large-scale, and multi-modal data. He received his Ph.D. from The Ohio State University and held faculty positions at UCLA before joining UCSD in 2013. He also served as a Lead Researcher at Microsoft Research Asia (2011–2013) and was an Amazon Scholar (2021–2022). His academic trajectory includes progression from Assistant to Associate and then Full Professor at UCSD. His research interests span computer vision , deep learning , generative modeling , vision-language models , diffusion models , and structured prediction . He has made seminal contributions to image parsing, auto-context models, introspective neural networks, and holistically-nested edge detection. His recent work emphasizes Bayesian diffusion models, panoptic 3D parsing, and multimodal learning. The analysis of his recent publications shows a strong trend toward diffusion-based generative modeling , particularly in 3D vision, image restoration, and vision-language tasks. He also continues to advance work in multimodal understanding, continual learning, and efficient transformers. His lab actively publishes in top venues such as CVPR, ICCV, NeurIPS, and TPAMI. Selected Scientific Awards and Honors: IEEE Fellow David Marr Prize (2003) David Marr Prize Honorable Mention (2015) NSF CAREER Award (2009) Test-of-Time Award, AISTATS 2025 (for Deeply-Supervised Nets) First Prize, MICCAI Grand Challenge on Caudate Segmentation (2007) Talbert Abrams Award Honorable Mention (2003) Advising and Grants: He has advised numerous PhD students who are now faculty at NYU, CMU, and Stanford, or research scientists at Apple, Microsoft, Intel, and Facebook. His lab has been supported by significant grants from the National Science Foundation (NSF) , Office of Naval Research (ONR) , Intel , Qualcomm , Samsung , and Northrop Grumman . Current and recent grants include NSF IIS-2433768 on Bayesian Diffusion Models and NSF IIS-2127544 on Panoptic 3D Parsing. Laboratories and Teams: He leads the Machine Learning, Perception, and Cognition Lab (mlPC) at UCSD, which brings together students and researchers working on fundamental and applied problems in AI, vision, and cognition. The lab has strong collaborations with industry and other academic institutions.

David YoungView profile

Academic

• Rural and Remote Medicine
• General Practice
• Medical Education
• +3 more

Dr David Young is a clinical academic and experienced General Practitioner affiliated with the School of Rural Medicine at the University of New England (UNE), Faculty of Medicine and Health. He contributes significantly to medical education through Problem Based Learning (PBL) for first- and second-year students, Case Based Learning (CBL) for third-year students, and clinical skills instruction. His expertise lies in rural and remote medicine, having spent the majority of his clinical career in these settings, complemented by urban general practice experience in Brisbane. He is a Fellow of the Australian College of Rural and Remote Medicine (FACRRM) and actively supports medical student training and professional development for GPs through online teaching within the ACRRM framework. Dr Young holds an MBBS from the University of New South Wales and plays a vital role in shaping future rural medical practitioners through supervision and curriculum delivery. His work emphasizes practical, case-oriented learning and real-world clinical preparedness. He is currently active in both teaching and clinical roles, with no indication of retirement or part-time status. His contributions are integral to UNE's mission in rural medical education.

Katherine BrooksView profile

Associate Professor

• Health Disparities
• Racial Health Equity
• Clinician Bias
• +7 more

Katherine Brooks, MD, is an Associate Professor in the Department of Medicine at the University of California, San Francisco (UCSF), School of Medicine. She is clinically active as a hospitalist at Zuckerberg San Francisco General Hospital (ZSFG), a vital safety-net institution, and serves as a Clinical Lead in the San Francisco Department of Public Health's Information and Guidance Department. Dr. Brooks holds key medical education leadership roles, including Clinical Skills Mentor in the Joint Medical Program (JMP), Co-Director of the Model SFGH Program, and Co-Director of the Diagnostic Reasoning Course in the School of Medicine. MD: Alpert Medical School of Brown University, 2016 Residency: Brigham and Women's Hospital, 2019 Diversity, Equity, and Inclusion Champion Training: University of California, San Francisco, 2020 BA: Vassar College, 2008 Dr. Brooks's research and scholarly work are deeply rooted in health equity, with primary interests in racial health disparities, clinician bias in clinical decision-making, and the integration of social determinants of health into medical education. She has developed innovative curricula to help medical students critically examine the intersections of race, racism, and medicine. Her research spans diverse areas including HIV in resource-limited settings, premature mortality among African Americans, access to subspecialty cardiology care, care for incarcerated patients, and the impact of climate change on individual and public health. Her recent publications reflect a strong trend in diagnostic reasoning, the influence of social context and stigmatizing language on clinical errors, and the structural inequities in access to specialized care, particularly for heart failure and HIV treatment. Academy of Medical Educators, UCSF, 2024 Excellence in Teaching Award, Academy of Medical Educators, 2023 Division Outstanding Educator Award, Division of Hospital Medicine, ZSFG, 2023 Physician COVID-19 Clinical Service Recognition Award, ZSFG Department of Medicine, 2022 Outstanding Clinician Award, Division of Hospital Medicine, ZSFG, 2021 Inductee, Gold Humanism Honor Society, 2015 Inductee, Alpha Omega Alpha, 2015 Dr. Brooks is a prominent educator and curriculum developer, with a focus on training future physicians to recognize and address bias and inequity in healthcare. Her work has been supported by her institutional roles and recognition through prestigious awards. She collaborates extensively with colleagues at UCSF and beyond on research related to health disparities and medical education. She is affiliated with the Division of Hospital Medicine at ZSFG and contributes to public health initiatives through her role with the SF DPH.

Uwe Egbert WolterView profile

Associate Professor

• Theoretical Computer Science
• Category Theory
• Algebraic Specification
• +12 more

Uwe Egbert Wolter is an Associate Professor in the Department of Informatics at the University of Bergen, Faculty of Mathematics and Natural Sciences. He is actively engaged in research at the intersection of theoretical computer science, category theory, and formal methods in software engineering. His research interests include: Theoretical Computer Science Category Theory Algebraic Specification Graph Transformations Formal Methods Coalgebras Diagrammatic Modeling Model-Driven Engineering Multilevel Modeling Logic in Computer Science Wolter’s recent publications focus on diagrammatic specification frameworks, generalized sketches, and coalgebraic modeling. His work explores the use of categorical and algebraic structures to formalize software models, knowledge representation, and logical systems. He frequently collaborates with researchers such as Harald König, Adrian Rutle, Zinovy Diskin, and Alfio Martini. The research trends show a consistent focus on unifying logical and structural aspects of systems using category-theoretic tools. He has no listed scientific awards in the provided text. Wolter has advised or collaborated with several researchers, though formal students are not explicitly listed. His work has been supported through academic collaborations and research projects, including funding from the Research Council of Norway (e.g., project 194521). He has contributed to workshops and conferences in formal methods, algebraic development techniques, and model-driven engineering. He is involved in research groups and collaborative efforts centered on formal modeling, particularly through the Diagram Predicate Framework and multilevel typed graph transformations. His work contributes to foundational aspects of software specification and knowledge representation.

• Business Administration
• Finance
• Taxation
• +1 more

Anke Otto is a Researcher at the Faculty of Business Administration and Industrial Engineering of HTWK Leipzig. Her roles include scientific support in areas such as General Business Administration, Finance and Investments, Tax Law, and Business Law under the supervision of specific professors . Contact: Phone +49 341 3076-6525 | Office: ZU 207 | Fax: +49 341 3076-6539 Responsibilities: Organizing DATEV-Führerschein training, leading business simulation games, and providing course-specific student support. She serves as a member of the Faculty Council and acts as a first aider within the institution. Her work is integral to academic operations at HTWK Leipzig, with a focus on business and industrial engineering disciplines.

Jennie WilsonView profile

Professor

• Infection Prevention and Control
• Healthcare Epidemiology
• Surveillance of Healthcare-Associated Infections
• +12 more

Professor Jennie Wilson is a leading academic in healthcare epidemiology at the University of West London, affiliated with the College of Nursing, Midwifery and Healthcare and the Richard Wells Research Centre. She is a registered nurse with extensive experience in infection prevention and control (IPC), having worked in NHS Trusts and contributed to national surveillance programs in England. First Degree: Microbiology Master's Degree: Public Health PhD: Surveillance of Healthcare-Associated Infections (HCAI) Doctoral Thesis: The design and application of surveillance systems in improving health outcomes and identifying risk factors for HCAI Her research is centered on preventing healthcare-associated infections, with a strong focus on urinary and respiratory tract infections, dehydration in the elderly, hand hygiene, and the appropriate use of clinical gloves. She has led significant initiatives such as the Surgical Site Infection Surveillance Service and has contributed to major national guidelines, most notably as a lead author of the epic3 guidelines for preventing HCAI in NHS hospitals. Her work often applies behavior change theory and human factors to improve IPC practices. The trends in her recent publications show a sustained focus on practical interventions to prevent infections in vulnerable populations, particularly the elderly in care homes. She frequently investigates hydration, dysphagia, and catheter management as risk factors for infections like UTIs. Her research methodology includes systematic reviews, scoping reviews, realist syntheses, and the development of clinical tools and guidelines. She has also been deeply involved in responding to the COVID-19 pandemic, studying transmission, IPC measures, and pandemic planning. Professor Wilson has received significant recognition through her prolific publication record and leadership in national guideline development. Her work with the Healthcare Infection Society (HIS), Infection Prevention Society (IPS), and Public Health England underscores her influence in the field. Although specific students are not listed, her role as a professor and research leader implies she supervises and mentors postgraduate researchers. Her research is highly collaborative, involving numerous co-authors from various institutions and disciplines, and is often funded by national health bodies. She has contributed to major reports on nursing education and practice needs. She is a key member of the Richard Wells Research Centre and has led projects that bridge clinical practice, public health policy, and academic research. Her work on mobile anticoagulant therapy and healthcare worker perceptions highlights her interdisciplinary approach.

Yuima MizutaniView profile

Academic

• Counseling
• Counselor Education
• Identity Development
• +7 more

Dr. Yuima Mizutani is an Assistant Teaching Professor in the Department of Education Sciences and Professional Programs at the College of Education, University of Missouri - St. Louis. She teaches key counseling courses including Group Counseling, Multicultural Counseling, and Field Experience, and is actively involved in the MEd and PhD programs in Counseling. Her research centers on identity development, with a focus on multicultural and international populations. Key interests include: Teaching and professional identity of counselor educators with international backgrounds Bi/multi-cultural and Third Culture Kids Asian Americans, immigrants, and refugees International students and parenting She employs qualitative methods such as phenomenology, photovoice, case study, and duo-ethnography. Her recent publications highlight mental health advocacy for Asian international students and therapeutic interventions for Confucian-Asian Third Culture Kids. The research emphasizes cultural sensitivity, relational dynamics, and equity in counseling practices. Scientific awards and professional recognitions include: National Certified Counselor Licensed Professional Counselor in Missouri Member of Chi Sigma Iota (international counseling honor society) Dr. Mizutani advises graduate students in clinical mental health counseling and is involved in program development and inclusive education initiatives. She integrates her clinical experience supporting marginalized communities into both teaching and research. Her work promotes culturally responsive counseling education and advocacy in higher education settings.

ShaQuina WhiteView profile

Adjunct Professor

• Counseling in Higher Education
• Mental Health and Wellness
• Student Advocacy
• +4 more

Dr. ShaQuina White is an Adjunct Professor and Senior Academic Advisor at the College of Education, University of Missouri – St. Louis (UMSL). She earned her Ed.D in Educational Practice in Spring 2024, with dissertation research focused on counseling, therapy, and mental health in higher education institutions. Her professional roles include advising undergraduate students in Elementary Education, Secondary Education (Math, English, French, Spanish), Physical Education PK-12, and Sport Management. Bachelor of Science in Fashion Merchandising, Southeast Missouri State University (2012) Master of Education (M.Ed.) in Counseling with emphasis in Secondary Education, University of Missouri – St. Louis (2017) Doctor of Education (Ed.D) in Educational Practice, University of Missouri – St. Louis (2024) Dr. White's research and professional interests center on mental health and wellness, student advocacy, and counseling within higher education. As a first-generation college student, she brings a unique perspective to supporting students through academic and personal challenges. Her work emphasizes holistic student development and equitable access to educational success. While no formal publications are listed, her academic and professional focus suggests emerging contributions in the fields of educational counseling and student support systems in higher education. Dr. White is also preparing to become a Provisionally Licensed Professional Counselor in the State of Missouri, further aligning her clinical and academic pursuits. She advises undergraduate students and contributes to the academic mission of the College of Education through teaching and mentorship, though no formal graduate advisees or research grants are mentioned. Her service is integral to student success in multiple degree programs. Dr. White is affiliated with the advising team at UMSL's College of Education and operates from the South Campus Classroom Building, where she provides academic guidance and support to a diverse student population.

Felipe Werndl TrevizanView profile

Senior Lecturer

• Artificial Intelligence
• Automated Planning and Scheduling
• Reasoning under Uncertainty
• +9 more

Felipe Werndl Trevizan is a Senior Lecturer in the School of Computing at the Australian National University (ANU), where he conducts research at the intersection of Artificial Intelligence, Operations Research, and Machine Learning. His work focuses on automated planning and scheduling, reasoning under uncertainty, heuristic search, and machine learning for planning. He is actively involved in research projects related to uncertainty-centric pilot assistance systems and probabilistic planning. His research interests include: Automated Planning and Scheduling Probabilistic and Multi-Objective Planning Heuristic Search and Admissible Heuristics Deep Learning for Generalized Planning Constraint-Based and Risk-Aware Planning Learning Heuristics from Data His recent publications demonstrate a strong trend toward integrating machine learning with classical planning techniques, particularly in learning reliable, domain-independent heuristics using both deep and classical machine learning methods. He has developed novel algorithms for constrained and stochastic shortest path problems, multi-objective probabilistic planning, and generalized planning using neural networks. His scientific awards include: Best Paper Award at ICAPS 2016 Best Paper Award at ICAPS 2017 2016 Kikuchi-Karlaftis Best Paper Award from the Transport Research Board Felipe Werndl Trevizan is registered to supervise research students and has advised several successful projects in AI planning. He has secured research grants for projects such as 'Integrated Planning for Uncertainty-Centric Pilot Assistance Systems' and 'Chance-Constrained POMDP for Pilot Assistance Systems' at ANU. He is also organizing key community events including the 'Reliability In Planning and Learning (RIPL)' workshop and a tutorial on 'Learning for Planning' at ICAPS 2025. He is affiliated with the School of Computing at ANU and previously worked as a Senior Research Scientist at NICTA and Data61/CSIRO. His research is supported by active collaborations with leading researchers such as Sylvie Thiébaux, Hanna Kurniawati, and others.

TAN Seow YenView profile

Assistant Professor

• Emerging Infectious Diseases
• Nosocomial Infections
• Hospital Infection Prevention and Control
• +3 more

Dr TAN Seow Yen is an Adjunct Assistant Professor at the National University of Singapore (NUS) Saw Swee Hock School of Public Health, a Clinical Faculty Member at Duke-NUS Medical School and NUS Yong Loo Lin School of Medicine, and an Infectious Diseases Consultant and Head of the Department of Infection Prevention & Control at Changi General Hospital. She also leads Training & Education at the National Centre for Infectious Diseases. Education Bachelor of Medicine & Bachelor of Surgery, NUS, 2008 Member, Royal College of Physicians, United Kingdom, 2012 Master of Medicine (Internal Medicine), NUS, 2013 Fellow, Academy of Medicine Singapore, Chapter of Infectious Disease Physicians, 2017 Research Interests Her work centres on emerging infectious diseases , nosocomial infections and hospital infection prevention and control . She is especially passionate about translating field epidemiology findings into practical bedside protocols and educational curricula for healthcare professionals and students. Dr Tan’s recent publications reflect an intense focus on the COVID-19 pandemic, spanning diagnostic accuracy of self- versus health-worker-collected swabs, clinical management of cohort wards, policy evaluation of routine screening, therapeutic trials of baricitinib plus remdesivir, and comprehensive epidemiologic profiling of Singapore’s first-wave cohort. Scientific Awards & Honours SingHealth Excellence Awards 2022 – Distinguished Young Leader Award Public Administration Medal (Bronze) (COVID-19), 2022 Leadership & Grants She currently heads two key units: Department of Infection Prevention & Control, Changi General Hospital Training & Education Office, National Centre for Infectious Diseases These roles support multi-institutional grants and training programmes aimed at strengthening Singapore’s capacity in outbreak preparedness and antimicrobial stewardship. Laboratory & Team Affiliations Dr Tan’s activities are embedded within the Infectious Disease Research and Training Office of the National Centre for Infectious Diseases, enabling close collaboration with multidisciplinary teams in microbiology, epidemiology and health-services research across SingHealth and NUS.

Hamsa Sridhar BastaniView profile

Associate Professor

• Machine Learning Algorithms
• Data-Driven Social Good
• Human-AI Interface
• +8 more

Hamsa Sridhar Bastani is an Associate Professor of Operations, Information, and Decisions (OID) as well as Statistics and Data Science at the Wharton School of the University of Pennsylvania, where she co-directs the Wharton Healthcare Analytics Lab. Her academic journey includes graduating summa cum laude from Harvard in 2012 with an A.M. in physics and an A.B. in physics and mathematics, completing her PhD in Stanford's Electrical Engineering department under Mohsen Bayati, and spending a year as a Herman Goldstine postdoctoral fellow at IBM Research. Dr. Bastani's research focuses on developing novel machine learning algorithms for learning and optimization, including methods for sequential decision-making (bandits, reinforcement learning, active learning), learning from auxiliary data sources (transfer learning, meta-learning, surrogates), and designing effective human-AI interfaces (interpretability, fairness). She is passionate about applying machine learning and AI to tackle high-impact societal problems across domains like healthcare, public policy, and education. Her recent work explores how AI systems affect and augment human behavior, with the goal of designing AI tools that help humans thrive. She has collaborated with national governments to deploy algorithms at country scale for improving public health outcomes, including working with the Government of Greece to nearly double the efficacy of their national border COVID-19 screening via reinforcement learning, and with the Government of Sierra Leone to improve patient access to essential medicines by nearly 20% via decision-aware learning. She also co-led the first large field study deploying generative AI tutors in high school math classes, demonstrating critical risks for human overreliance and deskilling. Dr. Bastani's publications reveal trends in applying advanced machine learning techniques to real-world problems, particularly in healthcare and social impact domains. Her work often combines theoretical rigor with practical implementation through randomized controlled trials and field evidence. Recent publications show increasing focus on the human-AI interface, especially examining risks of generative AI in educational contexts and developing frameworks for responsible human-AI collaboration. Her research has been published in leading outlets including Nature, Management Science, Operations Research, and PNAS. Scientific Awards Wagner Prize for Excellence in Operations Research Practice (2021) INFORMS Pierskalla Award for Best Paper in Healthcare (2021, 2019, 2016) Public Sector in OR Best Paper Award (2024) INFORMS Data Mining Best Paper Award (2022) Wharton Teaching Excellence Awards (2021, 2020, 2019) George Nicholson Best Student Paper Competition (2016) MSOM Best Student Paper Competition (2016, 2020) National Science Foundation Fellow (2012-2017) As an advisor, Dr. Bastani has mentored numerous PhD students who have gone on to prestigious positions including Assistant Professors at Cornell Johnson, ASU Carey, and UC Berkeley Haas, as well as Director of Responsible AI at PwC. She has secured significant research funding through collaborations with government entities and has served as an Associate Editor for Operations Research, M&SOM, and OR Letters. Her work has been supported by partnerships with national governments and organizations like the Penn Center for Health Incentives and Behavioral Economics. She primarily teaches OIDD 321: Introduction to Management Science, for which she received multiple Wharton Teaching Excellence Awards. Dr. Bastani co-directs the Wharton Healthcare Analytics Lab, which focuses on applying data science and machine learning to healthcare challenges. She also serves on the Steering Committee for the Penn Center for Health Incentives and Behavioral Economics and on the statistics advisory committee for the AHA Food is Medicine Initiative. Outside academia, she serves on the Workday AI Advisory Board, connecting her research with industry applications.

• Mental Health
• Child and Adolescent Development
• Health Promotion
• +7 more

Dr Julia Dray is a Lecturer in Speech Pathology at the University of Technology Sydney (UTS), Faculty of Health, where she also serves as Project Manager for the NurtureNextGen project in Genetic Counselling. Her academic career spans multiple institutions including the University of Newcastle and Australian National University, with research focusing on mental health, preventive care, and lived experience research. Dr Dray completed her PhD in Psychology at the University of Newcastle Australia, where she also earned her Bachelor of Psychology with First Class Honours and the J A Keats Award. She has since augmented her expertise with an Ethical AI certification from RMIT University. Her research interests center on mental health promotion, particularly child and adolescent mental health, resilience, chronic disease prevention, and the integration of lived experience in research. Dr Dray has pioneered work in digital health, especially the application of Generative AI, AR, and VR in mental health support and speech pathology. Her research demonstrates a strong emphasis on co-design methodologies, implementation science, and community-engaged approaches to improve health outcomes for vulnerable populations. Analysis of her recent publications reveals a clear trajectory toward innovative digital health solutions, with increasing focus on Generative AI applications in mental health and speech pathology. Her work bridges implementation science with emerging technologies, examining both the potential and ethical considerations of these innovations in clinical practice. Donald J Cohen Fellowship (IACAPAP), 2016 J A Keats Award for First Class Honours International impact recognition with citations in WHO and NICE guidelines Dr Dray has supervised numerous research students across various projects related to mental health, chronic disease prevention, and consumer engagement in health research. She has secured over half a million dollars in research funding, including significant grants from the Hunter Medical Research Institute and the Health Foundation. Her collaborative approach extends to partnerships with community organizations, government bodies, and international research teams, reflecting her commitment to translating research into practice. As a member of the Faculty of Health at UTS, Dr Dray contributes to the INSIGHT: Institute for Innovative Solutions for Wellbeing and Health and the UTS Research Centre for Trustworthy Digital Society. Her work on the NurtureNextGen project demonstrates her commitment to genetic counseling and family-centered approaches to health.

Ilgin GulerView profile

Associate Professor

• Transportation Engineering
• Intelligent Transportation Systems
• Traffic Signal Control
• +8 more

Ilgin Guler is an Associate Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University’s College of Engineering. Her research focuses on intelligent transportation systems, traffic operations, infrastructure sustainability, and equitable mobility solutions. She contributes to interdisciplinary projects such as the Equitable Optimization of Transportation Systems and Services addressing climate and sustainability challenges. Her research interests span Transportation Engineering , Intelligent Transportation Systems , Traffic Signal Control , Connected Vehicles , Pavement Management , and Transit Signal Priority . She applies advanced techniques including deep learning and optimization to improve urban and rural transportation systems. Her work emphasizes safety, equity, and sustainability in infrastructure planning and operations. The recent publications highlight a strong trend in integrating machine learning with classical traffic theory, enhancing infrastructure resilience through data-driven maintenance, and evaluating shared mobility impacts on safety and equity. Her research bridges civil engineering with data science, focusing on real-world applications in Pennsylvania and beyond. Scientific Awards: No awards explicitly mentioned in the provided text. She advises graduate students in transportation engineering and has been involved in multiple research projects, including seed-funded initiatives from the Institute for Energy and the Environment (IEE). While specific grant amounts and student names are not listed, her collaborative work with faculty like Vikash Gayah and Anik Sengupta indicates active mentorship and team leadership. Her research is associated with initiatives such as the Equitable Communities and the Built Environment and leverages tools from connected vehicle technology, impact-echo testing, and generative AI for infrastructure assessment.

Jessica FriedrichsView profile

Assistant Professor

• Cultural humility
• Diversity and equity
• Professional social work education
• +4 more

Jessica Friedrichs, MSW, MPA, is an Assistant Professor and Director of BSW Field Education at Carlow University's College of Arts & Sciences, Department of Social Work. She previously served as Director of the Service-Learning & Outreach Center and contributed to the Just and Merciful Curriculum and Honors Program. Education: MSW (Community Organizing and Social Administration, 2007), MPA (Public and Non-Profit Management, 2007) from University of Pittsburgh; BA in Sociology (Pennsylvania State University) Her research focuses on cultural humility, diversity and equity, first-generation college students, and community-based global learning. She co-authored works on ethical engagement in global education and analyzed disparities in service-learning pedagogy. She has received the Max and Esther Sestili Award for Excellence in Teaching (2018), Amizade Hall of Fame Award (2024), and was nominated for the Online Teaching Innovation Award (2018). She served as a Faculty Fellow at the Center for Digital Learning and Innovation (2017). Professional Leadership: Co-founder of Cultural Humility and Equity Collaborative (CHEC); Board member of Alliance for Refugee Youth Support and Education (ARYSE); Facilitator/trainer for Interactivity Foundation Consulting: Racial equity and immigrant inclusion training for Allegheny County Department of Human Services and Pittsburgh Department of Public Safety

Ellen McHughView profile

Senior Lecturer

• Higher Education
• Student Experience
• Educational Inequalities
• +7 more

Dr. Ellen McHugh is a Senior Lecturer in the Department of Education at Brunel University London. She teaches undergraduate education programs and supervises doctoral students, with research focusing on educational inequalities and experiences of marginalized groups in higher education. PhD in Geography (University of Reading) MA in Tourism, Environment and Development (King's College London) BA in Geography and Archaeology (University of Manchester) Research Interests: Ellen’s work examines commuter students’ spatial practices, food poverty in universities, military families’ educational needs, and intersectional approaches to transnational motherhood. She emphasizes materialities of access and belonging in educational spaces. Publication Trends: Her recent articles address geographies of student engagement, intersectionality in supervision, welfare provision in academia, and military family experiences. Themes include mobility, equity, and spatial-temporal challenges in education. Awards & Grants: Fellow of Advance Higher Education British Academy/Leverhulme Small Research Grant (2023-2025): £10,000 for free food provision in universities Service Children's Progression Alliance (SCiP) collaboration Professional Roles: As Assessment Block Leader for ED1805 and ED2803, and Academic Misconduct Officer, she shapes academic governance. She also serves as External Examiner at York St John University.