Find Academic Supervisors

• Computational Making
• Indigenous Computation
• Indonesian Craft and Architecture
• +1 more

Rizal Muslimin is a Senior Lecturer at the Faculty of Architecture, Design and Planning, University of Sydney. His work bridges craft , architecture , and computational design , focusing on reinterpreting traditional Indonesian craft through digital methodologies. He holds a PhD in Design and Computation from MIT, an M.Arch from Institut Teknologi Bandung, and a B.Arch from Universitas Parahyangan. Education PhD, Design and Computation, Massachusetts Institute of Technology M.Arch, Institut Teknologi Bandung B.Arch, Universitas Parahyangan His research revolves around Computational Making , Indigenous Computation , and the intersection of shape grammar with cultural design . He explores crafting logics across scales, from component design like brick and wooden joinery systems to full building projects such as the award-winning Mesjid Raya Sumatera Barat . His publications span generative design , structural rationalization , and ethnocomputational studies of Toraja glyphs and weaving patterns. Notable projects include: Cultural Computation on the Traveling Hamlet Experience Grammar for space planning Networked Creative Processes in shell structures He has supervised research students like Seren SHI, whose work on Socio-Spatial Sentiments extends his interest in urban morphology. Rizal is a member of the Sydney Southeast Asia Centre and has secured grants from Ministry of Higher Education Malaysia and the National Science and Research Council . His teaching and research emphasize the Vitruvian balance between tradition and technology in architectural practice.

Audrey G. BennettView profile

Professor

• Graphic Design
• Interactive Aesthetics
• Cultural Studies
• +4 more

Audrey G. Bennett is a University Diversity and Social Transformation Professor at the Stamps School of Art & Design, University of Michigan. Her research focuses on cross-cultural and transdisciplinary design, interactive aesthetics, and the intersection of heritage algorithms with STEM education. Research: Studies HIV prevention through interactive aesthetics (funded by NSF) and diversifying computer science via indigenous art curricula (NSF and Google). Education: PhD in Graphic Design, with a focus on social impact. Research Interests: Bennett develops interactive aesthetics to democratize image control in society, using technology for collaborative design across cultures. Her work with heritage algorithms bridges cultural patterns and computational thinking, particularly in African and Native American traditions. Article Trends: Recent publications emphasize: Food insecurity solutions through design Inclusive museum experiences Visual knowledge dissemination Cross-cultural technical instructions Scientific Awards: 2015 Andrew W. Mellon Distinguished Scholar 1997 College Art Association Fellow Best Poster Paper at CoDesign 2000 2007 NSF Career Award Competitive AIGA grant for GLIDE conference Advising & Grants: As co-editor of the Icograda Design Education Manifesto 2011, she mentors students in design theory and cultural studies. She has secured funding from NSF, Google, and AIGA.

Oiwi Parker JonesView profile

Research Fellow

• Neural Engineering
• Machine Learning
• Robotics
• +3 more

Dr. Oiwi Parker Jones is a Hugh Price Fellow in Computer Science at Jesus College, University of Oxford, and Principal Investigator leading the Parker Jones Neural Processing Lab (PNPL) at the Oxford Robotics Institute. Their research focuses on neural speech prosthetics, combining machine learning with neuroscience to develop technologies for speech restoration. They hold an honorary fellowship in the Nuffield Department of Clinical Neurosciences and teach in Engineering Science, Computer Science, and Neuroscience, including roles as a stipendiary lecturer in neuroscience and medical teaching at St Peter’s and Oriel Colleges. Jones’ work spans robotics, neural decoding, and endangered language preservation, with a particular emphasis on Hawaiian linguistics. Their lab develops large-scale machine learning methods for neural data analysis and collaborates on interdisciplinary projects involving clinical neuroimaging and AI ethics. Jones is also engaged in cultural preservation efforts through computational linguistics and has published widely on language contact, phonology, and indigenous protocols in technology. Education: Doctoral research in NLP and machine learning at Oxford Neuroscience training at UCL and Oxford Research Interests: Neural prosthetics, speech decoding, small-data machine learning, robotics, and endangered language preservation. Current projects include non-invasive brain-to-text systems, clinical fMRI applications, and computational tools for Hawaiian linguistic analysis. Teaching Contributions: Undergraduate lectures on generative deep learning and robotics, postgraduate supervision in DPhil projects across Engineering, Computer Science, and Neuroscience. Known for interdisciplinary teaching methods integrating neuroscience and AI. Awards & Recognition: No explicit awards listed, but recognized for innovative interdisciplinary research and leadership in neural engineering. Labs & Teams: Leads PNPL, collaborates with Oxford Robotics Institute and Applied Artificial Intelligence Lab. Active in global networks for clinical neuroimaging and indigenous AI ethics.

• Applied Linguistics
• TESOL
• Discourse Analysis
• +5 more

Dr. Eleni Petraki is an Associate Professor in TESOL and Applied Linguistics, and Associate Dean (Research) for Higher Degrees by Research at the University of Canberra's Faculty of Education. She holds a PhD in Education from the University of Queensland, complemented by an MSc in Applied Linguistics from the University of Edinburgh and a BA/Bed in English Language and Literature from Aristotle University of Thessaloniki. Her research focuses on discourse analysis, intercultural communication, and the application of educational theories to machine education and AI pedagogy. She has secured significant grants, including a $580K ARC Discovery Project (2020-2024) exploring machine education for autonomous systems. Education PhD Education, University of Queensland, Australia MSc Applied Linguistics (English Language Teaching), University of Edinburgh, UK BA/Bed English Language and Literature, Aristotle University of Thessaloniki, Greece Her research interests bridge linguistics and AI, addressing topics like human-machine interaction, curriculum design for autonomous systems, and discourse analysis in healthcare and education. She has published widely in journals such as Cognitive Computation , Australian Journal of Linguistics , and ACM Transactions , with recent work focusing on swarm intelligence, generative AI in education, and autonomous learning systems. Dr. Petraki has been recognized for excellence in research supervision, including the 2015 Vice Chancellor's Excellence Award and nominations for Best Research Supervision. She actively guides HDR students exploring topics like humor in language teaching, gender dynamics in managerial communication, and Sri Lankan grammar pedagogy. Her grants and projects include collaborations on computational models of trust, red-teaming simulations, and translator stylometry. She contributes to professional bodies like the Applied Linguistics Association of Australia and the Australian Linguistic Society.

Lucretia WilliamsView profile

Researcher

• Human-computer Interaction
• Human-centered AI
• Community-Based Research
• +5 more

Dr. Lucretia Williams serves as a Senior Research Scientist at Howard University's College of Engineering and Architecture within the Human-Centered AI Institute. She directs the Lab for Advancing Technology for Education, Health, and New Ventures in AI (ATHENA), where she leads interdisciplinary research focused on human-computer interaction, human-centered AI, and health technology. Her work specifically centers on the lived experiences of underrepresented communities, exploring how emerging technologies can better serve populations initially not considered in their design. Dr. Williams received her PhD and Masters in Informatics from the University of California, Irvine, where she was affiliated with the STAR Lab, UCI ANTrepreneur Center, and DECADE. She completed her undergraduate studies in Psychology at Howard University. Her expertise spans human-computer interaction, community-based research, participatory design, health technology, and artificial intelligence, with particular emphasis on culturally responsive approaches. Her research portfolio demonstrates consistent focus on developing technology solutions for mental health, education, and community empowerment, with significant work in South African contexts and Historically Black Colleges and Universities. She has developed several notable tools including Mazi Umntanakho, a digital assessment tool for child social-emotional development in low-resource settings, and has led large-scale projects like the AAVE data collection at HBCUs. Her publications appear regularly in top-tier HCI and AI venues, showing strong interdisciplinary collaboration across computer science, psychology, and public health domains. Dr. Williams has received recognition including the Aim-Ahead Fellowship and has demonstrated entrepreneurial experience with over a decade in tech startups and innovation. She teaches CSCI 652: Special Topics in Human-Computer Interaction, guiding students through the theoretical and practical aspects of designing technology that serves diverse human needs. Her ATHENA Lab serves as a hub for interdisciplinary research, bringing together computer scientists, psychologists, educators, and community partners to develop technology solutions that address real-world challenges while centering community voices and cultural contexts. Dr. Williams frequently collaborates with international partners, particularly in South Africa, where her work addresses mental health challenges in low-income settings through co-designed digital tools.

Dan LylesView profile

Lecturer

• Ethnomathematics
• Ethnocomputing
• Indigenous Algorithms
• +3 more

Dan Lyles is a Lecturer in the Department of Mechanical, Aerospace, and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI). His work bridges cultural studies, technology, and education, focusing on topics such as ethnomathematics, ethnocomputing, and indigenous algorithms. He has contributed to interdisciplinary research, including studies on the intersection of traditional practices and contemporary digital tools. His publications highlight themes of cultural preservation, community engagement, and the application of technology in educational contexts. For instance, his 2016 work explores generative contexts between communities and educational settings, while earlier research delves into the evolution of ethnomathematical principles into computational frameworks. Lyles has one indexed publication in Social Sciences, reflecting his cross-disciplinary approach. No awards, grants, or advising roles are explicitly listed in the provided materials.

Michael LachneyView profile

Associate Professor

• Educational Technology
• Science and Technology Studies (STS)
• Cultural Studies
• +6 more

Michael Lachney is an Associate Professor in the Educational Psychology and Educational Technology program at Michigan State University (MSU), within the College of Education. He holds a Ph.D. in Science and Technology Studies from Rensselaer Polytechnic Institute (RPI). His research focuses on the cultural politics of educational technology, particularly how technology and race intersect in educational contexts. He emphasizes community-driven approaches to STEM education, collaborating with cultural experts like cosmetologists and urban gardeners to develop culturally responsive teaching strategies. Education: Ph.D. in Science and Technology Studies, Rensselaer Polytechnic Institute (2017) M.S. in Science and Technology Studies, Rensselaer Polytechnic Institute (2014) M.A. in Media and Cinema Studies, DePaul University (2011) B.A. in Film and Video, Columbia College Chicago (2009) Research Interests: Lachney's work bridges Science and Technology Studies (STS), educational technology, and cultural studies. Key themes include: Designing technology that reflects community knowledge systems Ethnocomputing and culturally situated design Addressing structural inequities in STEM education Posthumanist and decolonial approaches to education Grants & Awards: Joe L. Byers and Lucy Bates-Byers Endowment for Technology and Curriculum ($124,918, 2019) Science and Society at State Grant ($10,000, 2019) Rensselaer Polytechnic Institute Founder’s Award of Excellence (2016) Teaching: Lachney teaches courses on culturally responsive technology integration, educational research methods, and technology leadership. His courses emphasize critical engagement with sociotechnical systems. Labs & Collaborations: He collaborates with community organizations to develop generative STEM initiatives, such as projects with barbershop owners and urban gardeners to integrate computing education into their practices. His work often involves designing tools that align with community values and material practices.

Aman YadavView profile

Professor

• Computing Education
• Computational Thinking
• K-12 Education
• +4 more

Dr. Aman Yadav is a Professor at Michigan State University, holding the Lappan-Phillips Professorship of Computing Education in both the College of Education and College of Natural Science. He specializes in computing education research, focusing on integrating computational thinking (CT) and computer science (CS) into K-12 classrooms through teacher professional development. Affiliation: Department of Computational Mathematics, Science and Engineering Education: PhD in Learning, Design, and Technology; Bachelors and Masters in Electrical Engineering Yadav's research centers on preparing educators to effectively implement CT and CS in their teaching, particularly for underserved communities. His work includes NSF-funded projects like CT4EDU for elementary CT integration and initiatives supporting Detroit high school CS teachers. He emphasizes culturally responsive pedagogies, social justice, and inclusive lesson design principles. Publications: Over 50 peer-reviewed articles in journals like Communications of the ACM and Journal of Engineering Education NSF Grants: Multiple projects including "Modeling Inclusive Computational Thinking Instruction" and "Empowering Future Teachers with Generative AI Education" Yadav leads the Justice, Education, and Technology (JET) Lab, which explores how computing can address systemic inequities. He co-edited Computational Thinking in Education: A Pedagogical Perspective and actively participates in global research workshops like WiPSCE. His teaching philosophy emphasizes critical evaluation of computing's societal impact.

• Internet of Things
• Edge Computing
• Cloud Security
• +4 more

Richard Hill is a prominent researcher specializing in Internet of Things systems, edge computing architectures, and security protocols for distributed systems. His scholarly contributions span over a decade with consistent publication output through 2025, demonstrating ongoing research activity and academic leadership in computer science. His research interests focus on Industrial IoT optimization , edge intelligence , cybersecurity frameworks , and applied machine learning across industrial and educational contexts. Recent work demonstrates particular expertise in resource allocation models, authentication protocols for sensor networks, and educational applications of computing technologies. Hill's publication trends reveal strong interdisciplinary engagement, bridging computer science with industrial applications, healthcare diagnostics, and educational technology. His work frequently addresses real-world implementation challenges in IoT systems, cloud-edge architectures, and security protocols. As evidenced by his book publications including Guide to Industrial Analytics (Springer, 2021) and Edge Intelligence and the Industrial Internet of Things , Hill has established significant scholarly authority in his fields of expertise. His collaborative research network includes extensive partnerships with Hussain Al-Aqrabi, Ashiq Anjum, and other international researchers, with particular emphasis on UK-based educational applications and industrial implementations.

Jon CorbettView profile

Academic

• Indigenous Computing
• Generative Art
• Cree Language Revitalization
• +3 more

Jon Corbett is an Instructor at Simon Fraser University's School of Interactive Arts and Technology. A Métis artist and programmer, his research merges Indigenous knowledge systems with computational practices. Work includes developing acimow/Cree# , a programming language for nehiyaw (Plains Cree), and tools for syllabic text recognition. His practice explores kinship-computer interaction and decolonial digital methodologies.

Dilma Da SilvaView profile

Professor

• Cloud Computing
• Operating Systems
• Distributed Computing
• +4 more

Dilma Da Silva is a Professor in the Department of Computer Science & Engineering at Texas A&M University, holding the titles of Ford Motor Company Design Professor II and Regents Professor. She leads research in cloud computing, operating systems, and distributed computing with a focus on scalability and resource optimization. Her work extends to computer science education initiatives addressing diversity and equity in STEM, particularly for underrepresented groups in Brazil and the U.S. Education: PhD in Computer Science from Georgia Tech (1997), M.S. and B.S. from Universidade de São Paulo (1990, 1986). Her research has been recognized through awards including ACM Distinguished Scientist (2011) and an IBM Research Division Award (2011). She maintains an active Google Scholar profile and collaborates internationally on educational technology and cybersecurity pipeline development. Research emphasizes cloud infrastructure automation (e.g., Cloudbench toolchain) and pedagogical innovations like automated plagiarism detection systems and formative feedback mechanisms for introductory programming courses. Her recent work explores gender diversity in Brazilian STEM graduate programs and strategies to retain Latinx students in computing disciplines.

Richard HillView profile

Professor

• Controls
• Dynamics
• Instrumentation
• +9 more

Richard Hill is the Associate Dean for Research & External Initiatives and Professor of Mechanical Engineering at the University of Detroit Mercy's College of Engineering & Science. He holds a Ph.D. and M.S. in Mechanical Engineering from the University of Michigan, an M.S. in Applied Mathematics from the University of Michigan, an M.S. in Mechanical Engineering from the University of California, Berkeley, and a B.S. in Mechanical Engineering from the University of Southern California. His research focuses on controls, dynamics, instrumentation, mechatronic design, and numerical methods, with applications in electric vehicles, discrete-event system modeling, nonlinear control, and manufacturing systems. He also explores educational initiatives in STEM, including high-impact practices, K-12 computer science teacher development, and virtual laboratory design. Recent publications span educational technology (e.g., co-teaching models for CS teachers) and technical advancements in control systems and robotics. Prior to academia, Dr. Hill worked at Lockheed Martin on satellite control systems and served as a high school math and science teacher before joining Detroit Mercy in 2008.