Find Academic Supervisors

Riad S. WahbyView profile

Assistant Professor

• Cryptography
• Blockchain Security
• Secure Hardware Systems
• +11 more

Riad S. Wahby is an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. His work focuses on designing secure hardware and software systems, with recent emphasis on cryptographic proof systems. He actively mentors PhD students and collaborates across disciplines in cybersecurity, blockchain, and formal verification. PhD in Computer Science, Stanford University MEng in Electrical Engineering, Massachusetts Institute of Technology SB in Electrical Engineering, Massachusetts Institute of Technology Wahby's research spans cryptography , blockchain security , zero-knowledge proofs , and secure hardware-software co-design . His work addresses challenges in verifiable computation, privacy-preserving protocols, and hardware subversion resistance. Recent publications reveal trends in zero-knowledge proof systems (SNARKs, MPC), blockchain security (anonymous blocklisting, decentralized auctions), and hardware-crypto integration (weird machines, verifiable ASICs). Technical focus areas include formal verification, side-channel analysis, and cryptographic compilers. Distinguished Student Paper Award, IEEE Symposium on Security and Privacy (Oakland16), 2016 Best Paper Award, USENIX Annual Technical Conference (ATC18), 2018 Wahby collaborates with researchers across institutions and industries, including Dan Boneh at Stanford, Mike Walfish at NYU, and Silicon Labs in industrial roles. His CyLab affiliations connect him to over $400K in seed funding opportunities and blockchain initiatives at CMU.

• Optimization for Machine Learning
• Collaborative Learning
• Federated Learning
• +6 more

Sebastian U. Stich is a tenured Professor at CISPA Helmholtz Center for Information Security and a member of the European Lab for Learning and Intelligent Systems (ELLIS). His research focuses on optimization for machine learning, collaborative learning (distributed, federated, and decentralized methods), efficient optimization techniques, adaptive stochastic methods, and privacy/security in machine learning. Recent appointments include ERC Consolidator Grant 2024 for the CollectiveMinds project. Key contributions in federated/decentralized learning, uncertainty estimation, and communication-efficient optimization. Active in workshop organization, including the Optimization for Machine Learning workshop at NeurIPS 2024. Teaching modern optimization methods at Saarland University (2023-2025). His work has been recognized with awards such as the Google Research Scholar Award (2023) and Meta Privacy-Enhancing Technologies Award (2022) . His research group includes postdocs Dr. Anton Rodomanov and Dr. Rotem Mulayoff, and PhD students Xiaowen Jiang and Yuan Gao.

Rachelle HoleView profile

Professor

• Critical Disability Studies
• Community-Based Participatory Research
• Social Inclusion and Equity
• +7 more

Rachelle Hole is a Professor at the School of Social Work, Faculty of Health and Social Development, University of British Columbia Okanagan. She serves as the Director of the Canadian Institute for Inclusion and Citizenship (CIIC) and leads the Social Inclusion and Equity Research Cluster at the Institute for Community Engaged Research. As an Associated Health Researcher with CREST.BD, she bridges mental health and disability studies through community-based participatory research. UBC Tier 1 Principal's Research Chair in Critical Disability Studies Director, Canadian Institute for Inclusion and Citizenship Social Inclusion and Equity Research Cluster Leader Associated Health Researcher, Collaborative RESearch Team (CREST.BD) Her research integrates critical disability studies with community-based participatory methodologies to advance social inclusion for marginalized populations, particularly focusing on individuals with intellectual/developmental disabilities, Indigenous communities, and bipolar disorder patients. She explores employment equity, self-advocacy, and digital health tools like the PolarUs app for mental health. Her work emphasizes ethical participatory theatre and policy-informing research. Recent publications and grants (2018–2025) include multi-million-dollar partnerships with Canadian Institutes for Health Research, Social Sciences and Humanities Research Council, MITACS, and Vancouver Foundation. Key projects: Tide Project (youth employment), Impact 2.0 (summer employment), and Evidence to Inform Policy (community living sector). Her 15 most recent Google Scholar articles span employment barriers, digital health, research-based theatre, and policy analysis. Scientific awards include UBC Okanagan Health Researcher of the Year (2019). She has supervised numerous graduate students and collaborated with institutions like Community Living British Columbia, Aspire, and CREST.BD.

Veronika SetteleView profile

Visiting Professor

• History of Sexuality
• Food History
• Animal History
• +5 more

Veronika Settele is a historian specializing in 19th-20th century societal transformations, currently serving as a Visiting Professor and junior research group leader at the University of Bremen since 2023. Her work bridges History of Sexuality , Food History , and Animal Studies , examining intersections between economic systems, technological shifts, and cultural norms. Education : PhD in History (2015-2020), Freie Universität Berlin MSc in European Politics and Society (2011-2014), University of Innsbruck Magister in History (2007-2012), University of Innsbruck Research Focus : Her scholarship interrogates how sexuality , animal husbandry , and food systems reflect and shape societal structures. Current projects like "Hinter der Norm" analyze sexuality's secularization through religious practice lenses, while her publications explore industrial agriculture's moral and economic dimensions. Article Trends : Spanning 2012-2024, her work traces industrial agriculture (1945-1990), animal labor dynamics , and sexuality as cultural practice , with keywords spanning Capitalism , Technological History , and Environmental Ethics . Scientific Recognition : Opus Primum Preis der Volkswagen Stiftung Deutscher Studienpreis Friedrich-Meinecke-Preis Fonds Deutscher Studienpreis der Körber-Stiftung Gerald D. Feldman-Reisebeihilfen Academic Leadership : She co-organized conferences like "Beyond Norms and Categories" , serves on the editorial board of Zeithistorische Forschungen , and has taught seminars on transnational reform movements, Holocaust studies, and capitalism history at the University of Bremen and Sorbonne Université.

Sean RenView profile

Associate Professor

• Natural Language Processing
• Commonsense Reasoning
• Graph Neural Networks
• +3 more

Sean Ren is an Associate Professor in Computer Science at the University of Southern California, where he holds the Andrew and Erna Viterbi Early Career Chair. He directs the INK Research Lab and serves as Research Team Leader at USC's Information Sciences Institute. Affiliated with the USC NLP Group and Machine Learning Center, his research focuses on developing robust NLP systems through knowledge-aware architectures and data-efficient learning. His research interests include: Evaluation methods exposing NLP limitations in reasoning tasks Augmenting models with commonsense/knowledge via novel algorithms Graph neural networks for relational inference Model robustness verification and enhancement Neural-symbolic integration for interpretable AI Recent publications demonstrate strong emphases on language model reasoning, knowledge distillation, and compositional generalization. His group's ACL/NeurIPS papers frequently address robustness gaps in state-of-the-art models. Honors include: ACL Outstanding Paper (2023) MIT TR Innovator 35 Asia Pacific (2023) NSF CAREER Award (2021) Forbes 30 Under 30 (2019) ACM SIGKDD Dissertation Award (2018) Research is supported by NSF, DARPA, IARPA, and industry partners (Google, Amazon, Meta). He leads the INK Lab with focuses on label-efficient learning and knowledge-guided NLP, while actively recruiting PhD students for projects bridging symbolic and neural paradigms.

Alessandro AliakbargolkarView profile

Professor

• Federated Satellite Systems
• CubeSat Constellations
• Spacecraft Systems Architecture
• +3 more

Alessandro Aliakbargolkar is a Professor at the Department of Space Systems Design under the School of Aerospace Engineering at Skolkovo Institute of Science and Technology (Skoltech). His research focuses on Federated Satellite Systems, CubeSat constellations, and Spacecraft Systems Architecture, with applications in Earth observation, messaging services, and networked satellite systems. He has an extensive publication record in these areas, including work on technology roadmapping and digital twin implementation. Key Research Areas: Satellite federation and resource sharing CubeSat constellation design Network performance optimization Integration of systems engineering models with AI Selected Trends: Recent work explores digital twin technologies for CubeSats, federated satellite network analysis, and large language model applications in spacecraft design. Publications often combine theoretical frameworks (e.g., network theory) with practical implementations (e.g., LoRa-based messaging services). ORCID Profile: 0000-0001-5993-2994

Geoffrey Lindsay HermanView profile

Teaching Professor

• Computer Science Education
• Engineering Education
• Learning Theories
• +4 more

Dr. Geoffrey L. Herman serves as the Severns Teaching Professor in the School of Computing and Data Science at the University of Illinois at Urbana-Champaign. He earned his Ph.D. in Electrical and Computer Engineering from UIUC as a Mavis Future Faculty Fellow and completed postdoctoral research at Purdue University's School of Engineering Education. His research focuses on understanding how students learn engineering and computing concepts and developing systemic approaches to improve teaching methods in higher education. With over $7 million in research funding and more than 120 peer-reviewed publications, his work spans educational technology, cognitive aspects of learning, and faculty development initiatives. His recent publications demonstrate a consistent focus on evidence-based instructional practices, assessment methodologies, and collaborative learning approaches, with particular emphasis on computer science education, proof writing tools like Proof Blocks, and mastery learning techniques. These works collectively advance the understanding of effective educational strategies in STEM fields. IEEE Education Society Mac Van Valkenburg Early Career Teaching Award Scott H. Fisher Computer Science Teaching Award Best paper award in the first 50 years of the ACM Special Interest Group, Computer Science Education As a mentor, Dr. Herman guides graduate students interested in engineering and computing education research, focusing on designing better instruction. He also works with undergraduates on improving educational experiences through platforms like PrairieLearn. His leadership extends to founding the Grainger College of Engineering's Strategic Instructional Innovations Program, which has secured millions in external funding. He serves on the Computer Research Association Education committee and as associate editor for the Journal of Engineering Education. Dr. Herman leads national workshops on professional development for computer science teaching faculty and has created peer mentoring networks through the Teaching Professionals Program, significantly impacting faculty development in engineering education.

• Developmental Psychology
• Child Mental Health
• Anxiety Disorders
• +5 more

Dr. Kathryn Lester is an Associate Professor in Developmental Psychology at the University of Sussex's School of Psychology. She leads internationally recognized research on childhood anxiety, focusing on intergenerational transmission, cognitive biases, and school mental health interventions. Her work includes developing evidence-based programs for emotionally-based school avoidance and evaluating whole-school approaches to mental health. She holds leadership roles in Sussex’s senior management team, including Subject Group Lead for Developmental Psychology and Deputy Director for Postgraduate Research. She co-leads the Sussex Foundation Partnership Trust School Mental Health Research Team Clinic and has secured funding from the National Institute for Health Research, ESRC, and The National Lottery Community Fund. Her academic journey includes a D.Phil. in Psychiatry from the University of Oxford (2008) and postdoctoral research at the University of Sussex and King’s College London. Key research interests include anxiety prevention, school-based interventions, and the impact of parenting behaviors on child mental health. She has collaborated with organizations like the Sussex Wildlife Trust and provided consultancy for educational content development, such as children’s book series on emotions and ITV’s ‘Planet Child’ series. Her research spans mixed-methods approaches, including participatory methods with children and caregivers. Notable projects include NIHR-funded studies on digital mental health toolkits and Kavli Trust-funded interventions to reduce anxiety transmission from parents to children. She actively engages in knowledge exchange and mentoring early-career researchers.

• Strategic Management
• Resource-Based View
• Transaction Costs
• +5 more

Joseph T. Mahoney is the Caterpillar Chair and Professor of Business Administration at the Gies College of Business, University of Illinois at Urbana-Champaign. He also serves as Associate Director of the Illinois Strategic Organizations Initiative (ISOI). His research focuses on strategic management, organizational economics, and governance theory, emphasizing topics like resource-based views, transaction costs, stakeholder management, and firm growth dynamics. Mahoney is a Fellow of the Strategic Management Society (2013) and an AOM Fellow (2012). Key research interests include Edith Penrose’s growth theory, real options analysis, and the interplay between corporate governance and stakeholder interests. His work bridges classical economic theories with modern organizational challenges, addressing topics such as firm boundaries, strategic decision-making under uncertainty, and institutional frameworks. Recent publications highlight explorations into resource redeployment, stakeholder governance frameworks, and the Penrose Effect. His contributions emphasize theoretical rigor while addressing practical managerial implications. Professional recognitions include leadership roles in academic initiatives and editorial contributions to journals like Strategy Science and Strategic Management Review . His research has been widely cited, with notable works on transaction cost economics and strategic alliances.

Monica JunejaView profile

Professor

• Global Art History
• Transcultural Studies
• South Asian Art
• +5 more

Prof. Dr. Monica Juneja is a Senior Professor of Global Art History at Heidelberg University and Co-Director of the Cluster of Excellence 'Asia and Europe in a Global Context.' Her research focuses on transcultural art history, South Asian art, and global methodologies. She holds positions at the Heidelberg Center for Transcultural Studies and has taught globally, including at Emory University and the University of Zurich. Key achievements include the Meyer-Struckmann Prize (2023) and the Opus Magnum Award (2020) for her seminal work on globalizing art history. Academic Roles: Full Professor (2009–present), former Chair of Modern European History at University of Delhi (2001–2005) Education: Doctorate in Art History (EHESS Paris, 1985), M.Phil. (University of Delhi, 1978) Research interests emphasize transcultural dynamics, decolonizing methodologies, and the intersection of art with ecology and modernism. Recent lectures include keynote addresses on 'Transcultural Art History as Radical Critique' (Berlin, 2021) and 'Art History and Ecological Imaginaries' (Vienna, 2021). Awards: Over 20 fellowships and honors, including Humboldt and DAAD fellowships Publications: Author of 10+ books and 50+ articles, including 2023's 'Can Art History Be Made Global?' She serves on editorial boards of journals like The Journal of Architecture and co-edits Visual and Media Histories (Routledge). Her work bridges art history with interdisciplinary global studies and museum futures.

David Lydon-StaleyView profile

Associate Professor

• Health Communication
• Substance Use
• Media Effects
• +7 more

David Lydon-Staley is an Associate Professor at the Annenberg School for Communication, University of Pennsylvania, where he serves as Principal Investigator of the Addiction, Health, & Adolescence (AHA!) Lab. His research integrates neuroscience with communication science to examine substance use, media effects, and curiosity using fMRI, ecological momentary assessment, and network analysis. Education includes a Ph.D. in Human Development & Family Studies from The Pennsylvania State University, an M.S. from Penn State, an M.F.A. in Creative Writing from Drexel University (2025), and a B.A. in Psychology and English Literature from Trinity College Dublin. Research focuses on three interconnected areas: curiosity in media environments and health communication, media engagement in emotion dynamics, and substance use through dynamic network perspectives. Work emphasizes intensive longitudinal measurement of brain-behavior interactions during daily life. Recent publications (2023-2025) predominantly explore tobacco behavior, neural mechanisms of addiction, curiosity modulation, and social media's emotional impacts. Articles demonstrate consistent themes: fMRI analysis of inhibitory control, real-time geospatial tracking of smoking triggers, curiosity-based health messaging, and emotion regulation networks. Research has been supported by the National Institute on Drug Abuse, Jacobs Foundation, International Society for Behavioral Development, Center for Curiosity, and Brain & Behavior Research Foundation. Leads the Addiction, Health, & Adolescence (AHA!) Lab investigating substance use through network science approaches. Collaborates with the Complex Systems Lab at Penn's Department of Bioengineering.

Anand Mohan RAMCHANDView profile

Associate Professor

• Digital Transformation
• Business Model Innovation
• Information Technologies
• +3 more

Anand Mohan RAMCHAND is an Associate Professor (Educator Track) and Assistant Dean (Industry Relations) at the School of Computing (SOC), National University of Singapore (NUS). He also holds a Senior Lecturer position. With a Ph.D., M.Sc., and B.Sc. (Honours) in Information Systems/Computer Science from NUS, his research focuses on digital transformation, business model innovation, and IT-driven social change. He has received over 10 teaching awards and maintained the NUS Teaching Excellence Honour Roll from 2011-2016. Ph.D. (Information Systems, NUS, 2012) M.Sc. (Information Systems, NUS, 2004) B.Sc. (Computer Science & IS, NUS, 2001) His research explores digital enablement of organizations and social change through case studies in healthcare, libraries, and enterprise systems. Recent work examines clinical management systems, knowledge management communities, and ubiquitous computing impacts. His publications span healthcare informatics, organizational learning, and mobile technology trends in Asia. Awards highlight his teaching excellence across NUS faculty and university levels. He coordinates Advanced Topic Academic Program (ATAP)/Student Innovation Project (SIP) initiatives. His professional roles bridge academia-industry collaboration through SOC's strategic initiatives.

Ginny SargentView profile

Researcher

• Population Health
• Health Promotion
• Implementation Science
• +3 more

Dr. Ginny Sargent is a Research Engagement Lead at The Australian National University's ANU College of Arts and Social Sciences. She holds a BSc (Hons) and PhD in relevant fields. Her work focuses on enhancing research impact through engagement, policy translation, and collaborative problem-solving in population health. Key interests include co-production methodologies, implementation science, and addressing socio-cultural determinants of chronic diseases. Education: BSc (Hons) PhD Research Interests: Dr. Sargent leads efforts to build organizational capacity for engaged research, improve evidence-to-policy translation, and address preventable chronic diseases using systems approaches. Her work spans community, government, and NGO collaborations to design health interventions and evaluate program effectiveness. Grants & Projects: She leads or collaborates on 12 projects, including initiatives on air pollution exposure reduction, policy evaluation frameworks, and workplace health promotion in Singapore. Recent projects involve developing digital evaluation tools and assessing health impacts of environmental hazards like bushfire smoke. Labs/Teams: Works with interdisciplinary teams on projects involving health communication, preventive interventions, and multi-sector collaboration. Collaborators include organizations like the Summer Foundation and global health institutions.

Helen VerranView profile

Research Professor

• Ethnography
• Indigenous Knowledge Systems
• Science and Technology Studies
• +7 more

Helen Verran is a Professorial Research Fellow at Charles Darwin University's Northern Institute within the Faculty of Arts and Society. An accomplished ethnographer with a distinguished career spanning seven universities across four continents, she has dedicated her academic life to exploring cross-cultural knowledge work, particularly with Indigenous communities. Before joining Charles Darwin University, she spent twenty-five years teaching and researching in History and Philosophy of Science at the University of Melbourne, where she collaborated extensively with Yolngu Aboriginal knowledge authorities. University of Melbourne (25 years in History and Philosophy of Science) Nigeria (8 years in the 1980s working with Yoruba teachers) Charles Darwin University (current position at the Northern Institute) Verran's research centers on ethnographic approaches to knowledge production in an era dominated by numerics, algorithms, and big data. She investigates how first-person experience and Indigenous knowledge systems can inform policy and governance, preventing crucial aspects of human experience from being lost in purely quantitative approaches. Her work spans Indigenous knowledge traditions, philosophy of science, comparative philosophy, and decolonizing practices, with particular focus on Yolngu Aboriginal Australian knowledge systems and Yoruba knowledge from Nigeria. She has developed innovative 'Ground Up' research methods that enhance Indigenous sovereignties and has made significant contributions to Science and Technology Studies (STS), especially regarding numbers and enumeration in cross-cultural contexts. Her recent publications reveal a sustained engagement with decolonizing methodologies, museum epistemology, Indigenous knowledge systems, and the philosophical implications of cross-cultural knowledge exchange. Verran's work consistently examines the tensions between different knowledge systems while developing practical approaches for working across these differences respectfully. She has made notable contributions to understanding Indigenous mathematics and the role of numbers in different cultural contexts, as evidenced by her award-winning book 'Science and an African Logic' (2001). Vice Chancellor's Award for Research Impact (2023) International prizes for 'Science and an African Logic' (2001) Referenced in Wikipedia pages Verran actively supervises postgraduate research and shares her expertise through 'Espresso Yourself!' sessions for Higher Degree by Research students. Her current projects include 'Design and evaluation as strategies/practices for exploring organisational sustainability' and 'Hope and a Decolonising Pedagogy,' reflecting her commitment to developing practical applications of her theoretical work. She has established collaborative research frameworks with Indigenous communities in Arnhem Land, particularly focused on digital technologies, environmental management, and education in remote settlements. As an active participant in academic networks, Verran organizes conferences and workshops on STS and Indigenous methodologies, including the 'Making and Doing Top End Science and Technology Studies together' event in 2024. Her work contributes significantly to Sustainable Development Goals related to quality education, reduced inequalities, and peace, justice and strong institutions.

Rainer GemullaView profile

Professor

• Machine Learning
• Data Processing
• Knowledge Graphs
• +3 more

Rainer Gemulla is a Professor of Practical Computer Science I: Data Analytics at the University of Mannheim, heading the Data and Web Science Group within the School of Business Informatics and Mathematics. He has been a W3-Professor at the University since 2014, following positions as a senior researcher at Max-Planck-Institut für Informatik (2010-2014) and postdoctoral researcher at IBM Almaden Research Center (2008-2010). His research focuses on machine learning with structured and semi-structured data, particularly knowledge graphs, and developing efficient systems for data-intensive processing. Professor Gemulla's research spans multiple areas including machine learning with structured data (relational data), machine learning with semi-structured data (multi-relational graphs), combining these approaches with unstructured knowledge (text), and developing efficient, scalable methods for data-intensive processing. His work bridges theoretical foundations with practical implementations, as evidenced by numerous open-source software projects including LibKGE, DistKGE, and AdaPM. His recent publications show a strong trend toward knowledge graph embeddings, parameter server architectures, and efficient training methods. The research demonstrates increasing focus on scalability challenges in graph learning, with particular attention to hyperparameter optimization, dynamic resource allocation, and benchmarking methodologies. His work consistently addresses the practical challenges of implementing machine learning systems at scale. Distinguished Reviewer Award at SIGMOD, 2025 Distinguished PC Member Award at EDBT, 2023 Outstanding Reviewer Award at NeurIPS, 2021 Junior-Fellow of the Gesellschaft für Informatik (GI), 2013 IBM's 2011 Pat Goldberg Memorial best paper award Best paper of NIPS 2011 Biglearn workshop Professor Gemulla actively mentors PhD students and has supervised numerous successful doctoral candidates. His leadership extends to administrative roles including Head of examination board for MSc Business Informatics since 2017, and previously serving as Study dean of the WIM faculty (2016-2019) and CIO of University of Mannheim (2022-2024). His research is supported by grants including AWS in Education Research Grant Award (2013) and Google Focused Research Award (2011). The Data and Web Science Group develops multiple open-source software projects including LibKGE (knowledge graph embedding library), DistKGE (multi-GPU training), AdaPM (adaptive parameter manager), Lapse (parameter server), and various tools for information extraction and sequence mining. The group maintains active collaborations with industry partners and academic institutions worldwide, particularly in the areas of knowledge graph research and scalable machine learning systems.