Find Academic Supervisors

• K-12 Computing Education
• Social Justice in Computing
• Physical Computing
• +3 more

Gayithri Jayathirtha is an Assistant Professor in the College of Education at the University of Illinois at Urbana-Champaign, specializing in Curriculum & Instruction. Her research focuses on integrating social justice into K-12 computing education through electronic textiles and pedagogical frameworks. She holds a Ph.D. and Master's in Learning Sciences from the University of Pennsylvania, along with a B.S. in Computer Science Engineering from Bangalore University, India. Research Interests: Jayathirtha explores how electronic textiles can bridge technical and societal dimensions in computing education. Her work emphasizes critical engagement, equity, and teacher roles in reshaping curricula to include sociopolitical implications of technology. Key areas include computational thinking assessment, collaborative debugging, and justice-centered learning. Publications: Since 2017, she has published extensively in ACM and IEEE conferences, focusing on topics like teacher identity in social justice, student problem-solving with e-textiles, and portfolio assessments for computational thinking. Notable works include redesigning introductory computing programs to address colonialism and bias, as well as frameworks for politicized trust in classrooms. Scientific Contributions: Jayathirtha has co-authored studies on bugs as catalysts for peer collaboration, the invisibility of everyday computing systems, and strategies for equitable K-12 computing education. Her research often involves partnerships with educators to develop and test innovative teaching methods. Professional Impact: Through her publications and presentations at RESPECT, SIGCSE, and ICLS conferences, Jayathirtha advocates for expanding computing education beyond technical skills to include societal implications. Her work provides practical tools for teachers to integrate critical perspectives into curricula.

Jan Christof ReckerView profile

Professor

• Digital Innovation
• Digital Transformation
• Digital Entrepreneurship
• +3 more

Jan Christof Recker is Nucleus Professor and holder of the chair for Information Systems and Digital Innovation at the University of Hamburg Business School, funded through the Excellence Strategy of the Federal and State Governments. He also holds adjunct professor positions at the University of Agder (Kristiansand, Norway) since 2022 and at the QUT Business School (Brisbane, Australia) since 2018, and has previously served as Professor for Information Systems and Systems Development at the University of Cologne (2018-2021) and Full Professor for Digital Innovation at QUT Business School. Dr. Recker holds bachelor's and master's degrees in information systems from the University of Münster and a PhD in Information Systems from the Queensland University of Technology. His educational background forms the foundation for his expertise in bridging technical and organizational aspects of digital transformation. His research focuses on how organizations deal with digital innovation, digital transformation, and digital entrepreneurship. As a field researcher, he has collaborated with large organizations including Woolworths, SAP, Hilti, Commonwealth Bank, Federal Police, Lufthansa, and Ubisoft, as well as various startups. Dr. Recker employs quantitative, qualitative, and mixed field methods in his research and is also competent in design research. His current research interests include technology analysis and design in the digital age, digital entrepreneurship and new venture creation, digital innovation and transformation in large organizations, digitalization of products, services, and processes, and digital solutions for sustainable development. His work aligns with multiple UN Sustainable Development Goals including Industry, Innovation and Infrastructure (SDG 9), Responsible Consumption and Production (SDG 12), and Reduced Inequalities (SDG 10). Dr. Recker's recent publications demonstrate a sophisticated exploration of the intersection between physical and digital experiences, generative AI development methodologies, societal impacts of crises on business growth patterns, and responsible digital innovation frameworks. His work spans multiple high-impact journals across information systems, management science, and entrepreneurship disciplines, consistently addressing practical organizational challenges with theoretically grounded approaches. His notable awards and honors include: AIS Fellow Award (2018) Outstanding Associate Editor Award by MIS Quarterly (2019) SIGGreen Best Paper Award (2021) Best Paper Award by the Journal of Information Technology Theory and Application (2014) Vice Chancellor's Award for Excellence (2014) Dr. Recker has secured significant research funding for projects related to digital innovation and transformation, including the HIVESOUND start-up scholarship (2024-2025) and research on how digital products are created through hardware-software interactions (2022-2024). As Editor-in-Chief for Communications of the Association for Information Systems (2015-2020) and current Senior Editor for the MIS Quarterly, he has shaped scholarly discourse in the field. His supervision of doctoral students has been recognized with multiple awards, reflecting his commitment to developing the next generation of information systems scholars. His Management Transfer Lab at the University of Hamburg serves as a nexus for academic-industry collaboration, focusing on translating theoretical insights into practical solutions for digital transformation challenges. The lab maintains strong partnerships with major corporations and startups alike, ensuring research relevance while providing students with real-world experience in digital innovation contexts.

Cristiana BolchiniView profile

Professor

• Dependability
• Fault Tolerance
• Reliability Analysis
• +8 more

Cristiana Bolchini is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. She holds a PhD in Automation and Computer Science Engineering (1997) and a Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Her research focuses on dependable systems, fault tolerance, and embedded systems design, with recent work on ICT solutions for smart buildings and energy efficiency. She coordinates projects such as the FP7 SAVE initiative and serves on technical committees for conferences like DATE and DAC. Education: PhD in Automation & Computer Science (1997), Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Research interests span dependability (fault modeling, diagnosis), heterogeneous architectures, and sustainable smart environments. She collaborates with Prof. Giuliana Iannaccone on foresight for sustainable built environments and has led EU-funded projects like the SAVE initiative. Publications include over 150 refereed papers on dependability and context-awareness. She holds editorial roles for journals such as IEEE Transactions on Computer-Aided Design and ACM Transactions on Embedded Computing Systems. Awards include IEEE Senior Member status and two Cisco University Research Program Fund gifts (2012, 2014). Academic roles include Rector’s delegate for Southeast Asia relations and leadership of Technology Foresight workgroups. She teaches courses on computer science fundamentals and dependable systems, emphasizing problem-solving and programming in Python and C.

John C. RickettsView profile

Professor

• Agricultural Education
• Leadership Development
• Critical Thinking
• +4 more

John C. Ricketts is a Professor in the Department of Agricultural and Environmental Sciences at Tennessee State University's College of Agriculture, where he has served since 2010. His expertise spans agricultural education, leadership development, and critical thinking pedagogy for youth. His educational background includes: B.Sc in Animal Science/Education from Middle Tennessee State University M.Sc in Vocational-Technical Education/Ag Education from Middle Tennessee State University Ph.D. from the University of Florida Ricketts' research focuses on agriculture student achievement through cognitive development and leadership training. He examines how instructional methods impact critical thinking dispositions in both traditional and distance learning environments, with emphasis on youth leadership efficacy and academic performance metrics in agricultural education contexts. His publication history reveals consistent contributions to leadership education models and cognitive assessment frameworks, particularly in agricultural settings. Key themes include the interplay between leadership dispositions and academic outcomes, with methodological approaches comparing delivery systems for optimizing student development. Notable recognitions include: Outstanding Young Agricultural Educator (AAAE Southern Region, 2008) Multiple UGA Teaching Awards (2008, 2007, 2005) NAAE Teacher of Teachers Gold Award (2006) 30 Minute Club Award (NAAE, 2010-2003) Outstanding Academic Advisor Award (CAES, UGA, 2007) As an advisor, Ricketts has mentored agricultural education students while developing extension programs that train teachers and extension agents nationwide. His professional development initiatives focus on enhancing youth leadership capabilities through evidence-based academic achievement strategies. He directs extension collaborations with state and national agricultural education associations to implement leadership curricula and critical thinking frameworks across educational settings.

Gaurav NandaView profile

Assistant Professor

• Applied Machine Learning
• Natural Language Processing
• Decision Support Systems
• +4 more

Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.

Wilian Gatti Jr.View profile

Associate Professor

• Strategy
• Entrepreneurship
• Innovation
• +3 more

Wilian Gatti Jr. is an Associate Professor at the School of Business, Ambrose University. His professional background includes roles as an industry executive and entrepreneur, complementing his academic career in strategy, entrepreneurship, and innovation. He actively contributes to the academic community and is a dedicated member of St. James Anglican Church in Calgary. Wilian holds the following academic qualifications: PhD (University of Calgary) PhD (Universidade de São Paulo) MSc (Universidade de São Paulo) MBA (Universidade de São Paulo) BA (Fundação Escola de Comércio Álvares Penteado) His research focuses on leveraging design and games to enhance knowledge creation, social connections, and identity expression among students. Key areas include strategy development, entrepreneurship education, innovation processes, and game-based learning methodologies. He contextualizes design thinking to foster creative problem-solving and explores intergenerational hybrid products in dynamic business environments. His publications highlight integration of design thinking and game-based pedagogy in academic and entrepreneurial contexts. Recent works address sustainable development education through modular game approaches and adaptive product strategies during discontinuous change. Wilian has been recognized with the following awards from the Rennes School of Business (2022): Pedagogical Innovation Award Teaching Excellence Award Narrative on advising and grants: No formal advising or grant details are provided in the text. Labs/Teams: The text does not mention specific lab affiliations or research teams.

Gerhard HillmerView profile

Professor

• Engineering Education
• Leadership & Project Management
• Organizational Development
• +4 more

Gerhard Hillmer is a Professor and Program Director of the Industrial Engineering & Management Master's program at the Management Center Innsbruck. He holds a Dr.-Ing. in Chemical Engineering from Friedrich-Alexander-University Erlangen-Nuremberg (1993) and an MSc in Management from Management Center Innsbruck (2008). His career spans over 25 years in academia and industry, including leadership roles as Department Head (2009-2023) and Study Coordinator in Process Engineering. Prior to academia, he held strategic roles in ExxonMobil and Esso Italiana focusing on business planning and operations optimization. His research focuses on leadership development in engineering education, interdisciplinary competency models, and organizational change management. He has authored textbooks such as Key Competencies in Leadership and Project Work (2022) and pioneered training concepts for engineering graduates' soft skills and responsible management practices. His work emphasizes integrating non-technical competencies like conflict resolution, project management, and ethical decision-making into engineering curricula. Recent publications address global business strategies in Africa, AI-driven HR practices, and corporate ethics expectations. Hillmer has supervised over 50 theses on topics ranging from cross-cultural leadership to resilient supply chains. His presentations at international conferences highlight trends in engineering education reform and organizational transformation in VUCA environments. Notable contributions include developing the PRiME-based Responsible Management certificate and advancing qualitative research methods for change processes in manufacturing. His work bridges academic research with practical industry challenges, emphasizing sustainable career development for engineers and leadership excellence in multinational contexts.

• Transportation Safety
• Automated Vehicles
• Human Factors in Transportation
• +3 more

Rakotonirainy Andry is a Professor at Queensland University of Technology (QUT), affiliated with the Centre for Accident Research & Road Safety - Queensland (CARRS-Q). His research focuses on transportation safety, automated vehicles, human factors, and intelligent transportation systems (ITS). He leads interdisciplinary projects exploring driver behavior, connected vehicle technologies, and the societal impacts of automation. Key areas include accident prevention, human-vehicle interaction, and equity in transport systems. His work integrates machine learning, simulation studies, and behavioral analysis to address challenges in road safety. Notable contributions include studies on driver stress detection, automated vehicle acceptance, and the Australian Naturalistic Driving Study (ANDS). He collaborates with institutions globally, advancing innovations like connected vehicle pilots and multimodal AI for traffic safety. Research interests span automated driving systems, vulnerable road user protection, and policy implications of emerging technologies. His findings contribute to safer transportation policies and technologies, emphasizing both technical and human-centric perspectives.

• Computer Science
• Artificial Intelligence
• Cybernetics
• +3 more

Dilip Sarkar serves as an Associate Professor in the Department of Computer Science at the College of Arts and Sciences, University of Miami. His academic profile demonstrates a strong research focus across multiple domains of computer science with particular emphasis on theoretical foundations and practical applications. Dr. Sarkar's research interests include: Artificial Intelligence and Cybernetics Parallel Algorithms and Programming Combinatorics Image Processing and Compression Internet of Things Security Machine Learning Applications in Healthcare Quantum Computing Approaches His publication record from 2018-2024 reveals a researcher engaged with cutting-edge computational challenges. Recent work spans quantum tensor networks for time series analysis, security frameworks for single sign-on systems, efficient computation in belief theoretic models, and machine learning applications for traumatic brain injury recovery prediction. His research demonstrates consistent integration of theoretical computer science with practical problem-solving across diverse application domains. As a member of CCS (Center for Computational Science) at the University of Miami, Dr. Sarkar participates in interdisciplinary research initiatives that bridge computational methods with scientific discovery across multiple fields. His technical expertise spans both theoretical frameworks and practical implementations, with notable contributions to image compression techniques, particularly for medical applications, and security protocols for modern web and IoT environments.

• Biology Education
• Science Education
• Teaching/Learning Research
• +4 more

Prof. Dr. Annette Upmeier zu Belzen is a Professor at the Institute of Biology at Humboldt University of Berlin, where she has been serving since October 2005. She leads the working group on Biology Didactics and Teaching/Learning Research within the Department of Biology Didactics. Her academic work is situated in the Faculty of Mathematics and Natural Sciences at one of Germany's most prestigious research universities. Her educational background includes: Promotion Dr. paed. from the Institute for Biology Education at Westfälische Wilhelms-University Münster (1997) Master of Arts in School Management from Technical University of Kaiserslautern (2005) Studies in biology, education and psychology at the University of Münster, culminating in the First State Examination (1992) Prof. Upmeier zu Belzen's research primarily focuses on biology education, with special emphasis on models and modeling in science education. Her work explores how students develop scientific reasoning skills through model-based learning approaches. She investigates the cognitive processes involved in understanding biological phenomena through modeling activities and examines how these processes can be effectively supported in classroom settings. Her research has significant implications for science teacher education, as she develops frameworks for assessing and fostering model competence among pre-service teachers. Through her work, she bridges theoretical perspectives on scientific modeling with practical classroom applications, contributing to both educational theory and practice in science education. Her recent publications reveal a strong focus on model-based learning, scientific reasoning, and teacher education. She has been increasingly investigating the role of abductive reasoning in modeling biological phenomena as complex systems. Her work spans formal classroom settings, museum education environments, and teacher professional development contexts. A notable trend in her recent work is the integration of cognitive science perspectives with educational research to better understand how students and teachers engage with scientific models and practices. Prof. Upmeier zu Belzen holds several significant professional roles: Deputy spokesperson of the Interdisciplinary Center ProMINT-Kolleg Scientific Director of Humboldt Explorers Editor of Science Education Review Letters (SERL) Member of the Council of the Humboldt University of Berlin She is actively involved in educational policy and standards development, serving as a consultant for various national and international organizations including the Organisation for Economic Co-operation and Development (OECD) for the PISA Science Framework 2025. Her expertise is sought after for developing educational standards and frameworks across multiple German educational institutions. Prof. Upmeier zu Belzen leads and participates in several research teams and laboratories focused on science education. Her work with the Humboldt Explorers program creates innovative learning environments, while her involvement with the Interdisciplinary Center ProMINT-Kolleg supports STEM education initiatives across Berlin and Brandenburg.

• Landscape Performance Evaluation
• Evidence-Based Design
• Urban Agriculture
• +4 more

Dr. Hanley Chen serves as a Lecturer at Lincoln University's School of Landscape Architecture, specializing in Landscape Performance Evaluation and Evidence-Based Design to enhance landscape architecture practices and communicate project value. His work bridges peri-urban planning, urban agriculture, and ecosystem services while integrating AI into design processes. His academic credentials include: PhD from Lincoln University, Lincoln, New Zealand BLA (Hons) from Lincoln University, Lincoln, New Zealand BSc (Horticulture) from Jilin Agricultural University, Changchun, China Chen's research focuses on quantifying landscape performance through peri-urban planning, urban agriculture, and foodscapes, with strong emphasis on community gardens, healthy cities, and integrated green-grey infrastructure. His evidence-based approach examines how design impacts social equity, climate resilience, and sustainable urban development, particularly in Aotearoa New Zealand contexts like Christchurch and Canterbury. Analysis of his 21 publications reveals consistent thematic clustering around peri-urban landscapes (65%), urban agriculture (50%), and performance evaluation frameworks (45%), with recent work exploring AI's transformative potential in design workflows. Over 70% of his studies employ case-based methodologies in New Zealand, emphasizing community engagement and practical implementation. He actively supervises three PhD candidates researching community gardens' role in vulnerable communities, landscape architecture's impact on garden success, and green-grey infrastructure retrofitting. As Deputy Undergraduate Programme Coordinator (2024-present) and Lincoln University Human Ethics Committee member (2023-present), he contributes to academic governance while maintaining industry engagement through technical consulting and media appearances. Chen collaborates extensively with researchers like Davis S, Bowring J, and Charters SM on projects including 'Peri-Urban Potential,' focusing on integrated land-use solutions that balance production and community needs in transitional urban zones.

Risqi SaputraView profile

Associate Professor

• Machine Learning
• Deep Learning
• Computer Vision
• +12 more

Muhamad Risqi U. Saputra (Risqi) is Associate Professor in Data Science at Monash University, Indonesia. He is actively involved in research, teaching, and interdisciplinary projects focusing on machine learning, computer vision, cyber-physical systems, and smart cities. His work contributes to UN Sustainable Development Goals, particularly in education, sustainable cities, and climate action. Education: DPhil/PhD in Computer Science, University of Oxford MEng in Information Technology, Universitas Gadjah Mada BEng in Electrical Engineering and Information Technology, Universitas Gadjah Mada Risqi's research focuses on applying deep learning and computer vision to real-world challenges such as navigation, environmental monitoring, and disaster management. His work integrates satellite imagery, IoT, and AI to solve problems in urban resilience and sustainable development. He is particularly interested in interdisciplinary applications in health, assistive technology, and smart cities. His recent publications highlight a strong trend in using deep learning for environmental monitoring—especially flood and mining footprint detection via satellite data. The integration of cross-attention networks, semantic segmentation, and multispectral imagery demonstrates technical innovation with societal impact. His work also extends into policy and social implications of AI, as seen in studies on energy transition and big data discourse in politics. Scientific Awards: Indonesia ICT Awards (INAICTA) International ICT Innovative Services Contest (InnoServe), Taiwan Asia Pacific ICT Alliance Awards (APICTA), Brunei Darussalam Risqi is a Chief Investigator on multiple active research projects such as Open Nutrition , Citarum Action Research Program , and MUST: Enabling Multi-species Transitions . These projects involve interdisciplinary collaboration across environmental science, public policy, and data science. He also contributes to public discourse through media engagement, including commentary on the misuse of 'big data' in politics. He teaches core units in data science, algorithms, and research methods at Monash University. He is currently accepting PhD students and leads research that bridges technical innovation with societal benefit, particularly in Southeast Asia’s urban and environmental contexts.

Iza MarfisiView profile

Professor

• Educational Technology
• Serious Games for Education
• Mobile Learning
• +5 more

Iza Marfisi is a Professor at the University of Le Mans where she became a University Professor in 2024 and was appointed Head of the IEIAH (Computer Environments for Human Learning) team in 2025. She works within the Claude Chappe Institute of Computer Science, focusing on developing educational technologies that empower teachers to create their own digital learning tools. Her research bridges computer science and educational theory to enhance teaching practices through accessible technology solutions, with particular emphasis on making advanced tools usable for non-technical educators. Marfisi's research spans Educational Technology, Serious Games for Education, Mobile Learning, and Extended Reality (XR), with a consistent focus on teacher-centered design. She develops "no-code" authoring tools enabling educators to create custom digital learning experiences deployable across various hardware platforms. Her work specifically targets situated learning with mobile devices, human-computer interactions for learning, and educational applications of mixed and extended reality. This approach democratizes access to advanced educational technologies by removing technical barriers for teachers. Analysis of her recent publications reveals a clear evolution from foundational mobile learning frameworks toward increasingly sophisticated integration of mixed reality and artificial intelligence in educational contexts. Her 2024-2025 work shows particular emphasis on generative AI for educational activity design, immersive pharmacology learning, and collaborative frameworks that connect multiple learning technologies. The publications consistently emphasize practical teacher needs, with many studies conducted in authentic educational settings rather than controlled laboratory environments. Marfisi actively supervises doctoral research across multiple dimensions of educational technology. Her current advisees explore artificial intelligence for mixed reality activity creation, mixed reality for professional training, free software approaches to serious games, and innovative interaction techniques for collaborative learning. Previous students have investigated mixed reality for fraction learning, educational game indexing systems, and mobile educational game design models. Her supervision portfolio demonstrates both depth in specific technical areas and breadth across the educational technology landscape. As Head of the IEIAH team at LIUM since 2025, Marfisi leads a research group focused on computer environments for human learning. She also serves on the Board of Directors for both the Serious Game Society and the IKIGAI association (Games for citizens), and was elected Deputy Director of Research at the Claude Chappe Institute of Computer Science since 2018. Her leadership extends to communications management for the IEIAH team and participation in the LIUM Laboratory Council (2022-2024), demonstrating significant institutional impact beyond her direct research contributions.

• American Studies
• Native American subjectivity
• Identity
• +13 more

Ana Maria Costa Lopes is a Professor at the Polytechnic Institute of Viseu's School of Education (Escola Superior de Educação de Viseu), where she has been serving as a Coordinating Professor since 2020. She holds leadership positions in the Foreign Languages Department and has previously served as Coordinator of the Foreign Languages Department, Vice-President of the Technical Scientific Council, and Secretary of the Scientific Council. Her educational background includes a PhD in Letters with specialization in American Studies from the University of Beira Interior (2009), a Master's in Anglo-Portuguese Studies from NOVA University Lisbon (1995), and a Bachelor's in Modern Languages and Literatures with a focus on English and German Studies from the University of Coimbra (1981). She is fluent in English (C2 level) and has basic proficiency in French, German, and Italian. Her research spans multiple areas within Humanities, with particular focus on American Studies, Native American subjectivity, identity, oral tradition, subjective space, colonial and post-colonial spaces, borders, geocriticism, heterotopia, translation, imagination/representation, space studies, finitude, and travel literature. Her work demonstrates strong interdisciplinary connections between literature, cultural studies, spatial theory, and language education. Her recent publications reveal a growing interest in the intersection of language education, digital technologies, and pedagogical innovation, with numerous studies on foreign language learning in higher education, multimodal creativity, and storytelling as pedagogical tools. She has also maintained her foundational research in American literature, particularly focusing on spatial representation and identity formation. Active participant in multiple research projects including HARVEST (2023-2024), APSASeG (2022-2024), and others focused on language education and pedagogical innovation Regular member of academic committees including scientific and organizational committees for conferences on language teaching and literary studies Active participant in recruitment and evaluation juries for academic positions Her academic leadership extends to supervising master's theses and participating in examination committees both in Portugal and internationally, including at the Federal University of Goiás in Brazil.

Lisa R. LattucaView profile

Professor

• Higher Education
• Engineering Education
• Interdisciplinary Studies
• +5 more

Lisa R. Lattuca is a Professor in the Marsal Family School of Education and the College of Engineering at the University of Michigan, where she also serves as Director of the Center for the Study of Higher and Postsecondary Education. She holds a core faculty appointment in the Engineering Education Research doctoral program. Her administrative roles include prior positions as assistant dean for enrollment management, director of marketing, and assistant director of communications. Dr. Lattuca earned her PhD from the University of Michigan, a Master’s from Cornell University, and a Bachelor’s from Saint Peter’s University. She previously held faculty positions at Penn State University (University Park) and Loyola University Chicago, and served as a program officer at the Spencer Foundation. Her research focuses on curriculum design, interdisciplinary teaching, and equitable learning experiences in higher education. Key areas include the development of engineers’ systems thinking competencies, sociotechnical integration in engineering education, and faculty decision-making processes around curricular reforms. She employs systems perspectives to study how disciplinary cultures and organizational structures influence teaching practices and student outcomes. Her grants include the NSF-funded Creating an Engineering Equity Teaching Center (2022–2025) and The Nature of Engineering Work: Curricular Messaging and Alignment with Diverse Undergraduate Students’ Values (2021–2025). She has also led studies on contextual competence in engineering and the impact of EC2000 accreditation standards. Her work bridges theory, practice, and policy to address broadening participation and equity in STEM. Dr. Lattuca has collaborated with centers such as the Center for Socially Engaged Engineering Education and Design and the Center for Research on Learning and Teaching in Engineering. She co-authored Shaping the College Curriculum: Academic Plans in Context and authored Creating Interdisciplinarity , and has served on editorial boards for journals like Journal of Engineering Education and AERA Open .