Find Academic Supervisors

• Accessibility
• Human-Computer Interaction
• Assistive Technologies
• +6 more

Patrick A. Carrington is an Associate Professor in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University's School of Computer Science. His research focuses on accessibility, wearable technology, and assistive technologies, exploring how technology can understand human ability and support empowerment, independence, and improved quality of life for people with diverse abilities. His research interests span multiple areas of accessibility and human-computer interaction. He investigates user needs and designs technology systems that enhance and leverage the full potential of users with diverse abilities, with particular focus on non-visual interfaces, wheelchair computing (which he terms "chairables"), and social media accessibility. His work combines technical innovation with deep user understanding to create meaningful assistive technologies. Dr. Carrington's publication record demonstrates consistent contributions to the field of accessibility research. His work shows a clear trajectory from foundational studies on wheelchair computing and chairables to more recent explorations of non-visual cooking interfaces, social media accessibility, and the application of large language models for communication assistance. His research consistently addresses real-world accessibility challenges through carefully designed user studies and novel technological interventions. Scientific recognition for his work includes: Best Paper Award (Top 1%) at CHI 2019 for "Occupational Therapy is Making" Best Student Paper at ASSETS 2024 for "WheelPoser" Multiple Best Paper Honorable Mentions (Top 5%) across CHI and ASSETS conferences Recognition for innovative work in Twitter accessibility, wheelchair sports technology, and non-visual interfaces As an educator, Dr. Carrington teaches courses including "Designing Human-Centered Software" (FA2022-FA2024, SP2025), "Special Topics: Accessibility" (SP2021, FA2021, SP2022, FA2024), and "Programming Usable Interfaces" (SP2020, FA2020). He leads the AXLE Lab, mentoring numerous students including Franklin Mingzhe Li, Yunzhi Li, and others who have become co-authors on his publications. His lab focuses on designing human-centered software that addresses real accessibility challenges through innovative technical solutions combined with deep user understanding.

• Retirement Security
• Labor Economics
• Pension Policy
• +3 more

Teresa Ghilarducci is the Irene and Bernard L. Schwartz Professor of Economics and Policy Analysis at The New School for Social Research, serving as department chair during the 2024-2025 academic year. She directs the Schwartz Center for Economic Policy Analysis (SCEPA), focusing on policy research and outreach. Previously, she spent 25 years at the University of Notre Dame before joining The New School in 2008. Her PhD in Economics (1984) is from the University of California, Berkeley. Ghilarducci specializes in retirement security, labor economics, and pension policy, authoring influential books like Rescuing Retirement (2016) and When I’m Sixty Four (2008). Her research addresses systemic retirement crises, pension reform, and economic disparities affecting older workers. Recent work includes analyzing monopsony power’s impact on wages (2022), debunking 'working longer' retirement advice (2022), and evaluating EITC expansion benefits (2021). She has received awards including the 1992 Association of American Publishers award for Labor's Capital . Ghilarducci advises graduate students through directed dissertation studies and mentors research projects. Her policy work informs national debates on retirement security, Social Security reforms, and income support for older workers through SCEPA publications and congressional testimony.

Olga LitvyakView profile

Researcher

• E-Governance
• Cybersecurity
• Political Communication
• +4 more

Olga Litvyak serves as a Senior Researcher at the Center for E-Governance, University for Continuing Education Krems, Austria. Her work bridges e-governance, cybersecurity, and data-driven political communication analysis, with active contributions to Austrian federal/state-funded research initiatives focused on digital public administration. Dr. Litvyak's research centers on computational analysis of political discourse, media framing, and digital transformation in governance. She employs advanced NLP techniques (including BERTopic) to study election campaigns, parliamentary debates, and crisis communication patterns. Her expertise spans open data initiatives, cybersecurity education models, and digital product passports for sustainable industry practices, emphasizing practical applications for public sector innovation. Analysis of her 15 most recent publications (2022-2024) reveals three dominant trajectories: (1) Cybersecurity education frameworks using micro-credentials and active learning; (2) AI-driven analysis of political discourse in forestry management, election campaigns, and crisis response; (3) Digital transformation case studies in open data implementation and product passport systems. These streams consistently integrate machine learning with policy analysis across Austrian and European contexts. No scientific awards were documented in the source materials. Dr. Litvyak leads the project 'Evaluierung der Wirkung der Open Data Initiative der Stadt Wien' (funded by Austrian Bundesländer) and contributes to seven additional grants including 'Vinepredict' (mildew forecasting AI) and 'Future Skills 3'. Her collaborative projects with Gregor Eibl, Peter Parycek, and Thomas Lampoltshammer involve FFG, federal ministries, and state entities, focusing on cybersecurity, timber industry data sovereignty, and cyber-physical systems. While no formal students are listed, her principal investigator roles imply mentorship of junior researchers. As a core member of the Center for E-Governance, she operates within a multidisciplinary team advancing digital public services through partnerships with government agencies and industry stakeholders. The center serves as Austria's hub for e-governance innovation, particularly in data-driven policy evaluation and secure digital infrastructure development.

• Microgrids
• Energy Management Systems
• IoT Integration in SmartGrid
• +5 more

Juan C. Vasquez is a Professor and Co-Director of the Center for Research on Microgrids (CROM) at Aalborg University, Denmark. He holds a B.S. in Electronics Engineering from the Autonomous University of Manizales (2004) and a Ph.D. in Automatic Control, Robotics, and Computer Vision from the Technical University of Catalonia (2009). His academic career includes roles as Assistant Professor (2011–2014) and Associate Professor (2014–2019) before becoming a full Professor. He has held visiting positions at Virginia Tech’s CPES and Ritsumeikan University, Japan. His research focuses on microgrid operation, advanced control strategies, energy management systems, IoT integration in smart grids, and maritime microgrids. He has authored over 649 publications and secured significant grants, including the EU-funded projects EU-DREAM (2024–2027) and NEST (2024–2026). He is an IEEE Senior Member and serves as an Associate Editor for journals like IET Power Electronics and IEEE Access. Research Highlights: Microgrid control, distributed energy resources, and digital twins for energy systems. Awards: Young Investigator Award (2019), Clarivate Highly Cited Researcher (since 2017). Grants: Led 49 projects, including EU-DREAM (€ funding) and NEST (national infrastructure roadmap). Prof. Vasquez contributes to UN Sustainable Development Goals, particularly in affordable and clean energy (SDG 7). His work bridges academia and industry through collaborations on resilient energy systems and smart grid innovations.

Cristina StoicaView profile

Professor

• Ensemble state estimation for uncertain systems
• Predictive control
• Robust control
• +7 more

Cristina Stoica is a Professor at CentraleSupélec/L2S, Université Paris-Saclay, specializing in control systems and robotics. She leads the SYCOMORE research team (since 2020) and co-heads the 'Pedagogical Innovation and EdTech' projects cluster. Her research focuses on ensemble state estimation, robust control, multi-agent systems, and control education. She has received awards including the 2024 Bozenna Pasik-Duncan Award and the 2023 Best Paper Award in Control Engineering Practice. Education: PhD in Automatic Control (2008, Supélec/Paris Sud 11) and HDR (2014, Université Paris-Saclay). She holds a B.Sc. and M.Sc. in Electrical Engineering from the Polytechnic University of Bucharest. Teaching: Teaches core modules in Control Theory, Automatic Control, and Dynamical Multi-Agent Systems at CentraleSupélec. Develops innovative courses integrating robotics and hands-on projects. Research Highlights: Contributions to distributed estimation, fault-tolerant control, and UAV coordination. Notable projects include radar imaging applications and pedagogical tools like the DroPong game and Drone Arenas-based teaching. Administrative Roles: Head of SYCOMORE team, Deputy Head of Research Professional Track (2017–2022). Memberships: IEEE Senior Member, IFAC Technical Committees on Control Education and Societal Impact. Labs/Teams: Leads SYCOMORE (Robust Control of Complex Systems) and contributes to MODESTY and COMEDY research groups.

Caroline ChanelView profile

Professor

• Autonomous Systems
• Decision-Making Algorithms
• Robotics
• +3 more

Caroline Chanel is a Professor at ISAE-SUPAERO (DCAS), holding the CASAC Chair since 2022. She has extensive experience in research and teaching, with roles including Associate Professor (2019-2024), Research Engineer (2013-2019), and HDR accreditation (2023). Her research focuses on embedded decision-making for autonomous systems, including proactive architectures, multi-robot cooperation, and human-machine interaction. She leads and participates in high-profile projects like SAMURAI (AID), CHIP-GT (ANR-DFG), and HAICO (CASAC Chair). She has supervised numerous PhD students and post-doctoral researchers, collaborating with institutions like ONERA, INRAe, and international partners. Education: PhD in Control and Embedded Systems (University of Toulouse 2013), Master's in Automatic Systems (Université Paul Sabatier 2008-2009), and Engineer Diploma from PUCRS (2002-2008). Awards include the Amelia Earhart Fellowship (2011) and ISAE-SUPAERO Foundation PhD Fellowship (2013). Research interests span decision-making algorithms, multi-agent systems, and neuroergonomics. Key projects address UAV navigation, blockchain integration for autonomous systems, and physiological computing for human-robot interaction. Teaching responsibilities include modules on autonomous systems, control systems, and neuroergonomics at ISAE-SUPAERO's engineering and master's programs. She co-leads the DECISIO doctoral team (ISAE-ONERA) and is involved in executive roles for conferences like EDSYS'.

Philipp RehnerView profile

Lecturer

• Classical Density Functional Theory
• Thermodynamic Modeling
• Computer-Aided Molecular Design
• +5 more

Dr. Philipp Rehner is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich. He holds a master’s degree in process engineering from the University of Stuttgart and completed his Ph.D. there under Professor Joachim Gross, focusing on classical density functional theory and interfacial properties of nanodroplets. Since 2021, he has been a postdoctoral researcher and group leader of the Molecular Design Group at ETH Zürich’s Energy and Process Systems Engineering (EPSE) Group. Research Interests: Development and application of classical density functional theory (DFT) for interfacial systems and adsorption modeling Thermodynamic modeling using equations of state (e.g., PC-SAFT, PCP-SAFT) Computer-aided molecular and process design GPU-accelerated computational methods for large-scale simulations Automated parameter prediction for molecular models using machine learning and SMILES representation Key Contributions: Developed the open-source FeOs framework for equations of state and DFT Advanced group-contribution methods for binary interaction parameters in thermodynamic models Pioneered GPU-accelerated DFT calculations for adsorption in porous materials Recognition: Recipient of the Walter Benjamin Fellowship (German Research Foundation) Labs/Teams: Leader of the Molecular Design Group at ETH Zürich’s EPSE Group Collaborator on interdisciplinary projects involving chemical engineering, computational chemistry, and materials science

Hazin İNCİView profile

Researcher

• Control Systems
• Robotics
• Embedded Systems
• +3 more

Hazin İNCİ is a Researcher at Adıyaman University's Department of Electrical and Electronics Engineering within the Faculty of Engineering. He holds a PhD from Ege University and has been affiliated with Adıyaman University since 2014. His academic journey includes a BSc from Mersin University (2008-2013) and participation in the Erasmus exchange program at Fontys University of Applied Sciences (2011-2012). Research interests focus on advanced control systems, robotics, embedded systems, and nonlinear system analysis. Key projects include developing high-performance maintenance systems, control laboratory setups, and collaborative robotic applications. He has contributed to international conferences such as the IFAC Workshop on Cyber-Physical Human Systems and the National Conference on Automatic Control. Professionally, he teaches courses like Algorithms and Computer Programming, Linear Algebra, and Embedded Systems. He currently holds administrative roles including Bologna Program Coordination and Project Development Office Management at Adıyaman University.

• Grid federation
• Utility and Cloud Computing
• Distributed Virtualization Management
• +3 more

Constantino Vázquez Blanco is a Researcher in Grid & Virtualization Technology at the Distributed Systems Architecture Group, affiliated with the Department of Computer Architecture and Automatic Control at Universidad Complutense de Madrid. He holds a PhD in Distributed Computing Architecture and has extensive experience in Grid computing, cloud infrastructure, and open-source projects like OpenNebula and GridWay. His work focuses on distributed systems, virtualization, and resource management. He has contributed to major EU projects such as RESERVOIR and BEinGRID, advancing cloud and grid technologies. Education: M.E. in Computer Science (2002, UCM), MSc in Computing & Internet Systems (2003, King's College London), PhD in Distributed Computing Architecture (2012, UCM). Professional experience includes roles at Altien Solutions, British Telecom, and leadership in academic research projects. Research interests include Grid federation, cloud computing, utility computing, and distributed virtualization management. He has published on grid benchmarking, workflow execution, and middleware integration. His work emphasizes scalable resource provisioning and interoperability in distributed systems. Grants and Projects: Involved in EU-funded initiatives like RESERVOIR (cloud computing), BEinGRID (Grid experiments), and OpenNebula development. His contributions span academic-industry collaborations and open-source tool development. Contact: Located at the Facultad de Informática in Madrid, reachable via email tinova@fdi.ucm.es.

Stefan ThiemannView profile

Researcher

• Research data management
• Digital humanities
• Open science
• +4 more

Dr. Stefan Thiemann is a faculty-level researcher at the University of Hamburg, serving since 2017 as head of the Center for Sustainable Research Data Management and since 2016 as the university’s Open-Access officer. He represents Hamburg in the National Research-Data Infrastructure (NFDI) and is a principal investigator in the Cluster of Excellence "Understanding Written Artefacts" (Research Field F: Data Linking). Education: Diplom in Meteorology & Computer Science, University of Hamburg (1990) Dr. rer. nat. in Geosciences, University of Hamburg (1996, dissertation on Arctic boundary-layer convection) Research interests: Thiemann’s work sits at the intersection of digital infrastructure and the humanities. He designs sustainable research-data repositories, federated information systems and on-demand transformer models that allow scholars to re-use humanities data at scale. Current themes include FAIR data implementation, AI-assisted transcription & annotation of manuscripts, and open-science policy development. His recent articles (2023-2025) cluster around two trajectories: building reusable, AI-ready data infrastructures (federated repositories, sustainable viewers, chatbots fine-tuned for humanities queries) and fostering humanities-centred AI workflows (automatic linking of manuscript metadata, large-scale text mining, and user-friendly annotation tools such as the TAMAR platform). Service & awards: Member, University of Hamburg Research Infrastructure Council (2020-) Member, Steering Group on Digitalisation in Research (2020-) Open-Access Officer, University of Hamburg (2016-) Former Faculty Information Officer, Faculty of Humanities (2012-2017) Teaching & grants: He regularly teaches Bachelor seminars on digital research-data management and Internet competence. He leads or co-leads major third-party projects including the DFG-funded SFB 950 “Manuscript Cultures”, the Hamburg Open Science initiative, and infrastructure grants that established the university’s research-data repository and DOI services. Labs & teams: Thiemann heads the Center for Sustainable Research Data Management and is a core member of the Data Linking Research Unit within the UWA Cluster of Excellence. He coordinates interdisciplinary teams developing the UHH research-data repository, FUNDus! collection portal, and manuscript-culture databases hosted at the CSMC.

Luke SchaefferView profile

Assistant Professor

• Quantum Computing
• Theoretical Computer Science
• Combinatorial Game Theory
• +4 more

Luke Schaeffer is an Assistant Professor at the University of Waterloo, affiliated with the Cheriton School of Computer Science and the Institute for Quantum Computing (IQC). His academic journey includes a BMath and MMath from Waterloo, a PhD from MIT under Scott Aaronson, and postdoctoral positions at Waterloo and UMD. His research bridges quantum computing and theoretical computer science, with focuses on quantum circuit complexity, classical simulation of quantum systems, and combinatorics on words. Notable projects include studying the Clifford group's structure, low-depth quantum vs. classical circuits, query complexity of regular languages, and fermion-to-qubit encodings. He also explores non-quantum areas like combinatorial game theory and cellular automata. His work on interactive quantum advantage protocols demonstrated separations between quantum and classical circuit models, including results against AC⁰[p] and NC¹ classes. He co-developed sample-optimal classical shadow algorithms for pure states and classified Clifford gates over qubits into 57 distinct classes. Education: BMath and MMath, University of Waterloo PhD in Computer Science, MIT (advisor: Scott Aaronson) Key Research Themes: Quantum advantage and circuit complexity Automata and combinatorics on words Classical simulation techniques for quantum systems Algorithmic foundations of quantum computing He advises students in the Cheriton School of Computer Science, emphasizing quantum computing and theoretical computer science. His contributions include foundational results in quantum-classical separations and decidability of word properties via first-order logic.

Maria Domenica Di BenedettoView profile

Professor

• Nonlinear control
• Hybrid systems
• Networked embedded control systems
• +4 more

Maria Domenica Di Benedetto is a full Professor of Control Theory at the University of L'Aquila, Italy, leading the Department of Electrical and Information Engineering. She holds a Dr. Ing. (summa cum laude) from Sapienza University of Rome (1976), a Docteur-Ingenieur (1981), and a Doctorat d'Etat Sciences (1987) from Université de Paris-Sud. Her academic journey includes roles as Assistant Professor at Sapienza (1983–1987), Associate Professor at Istituto Universitario Navale (1987–1990) and Sapienza (1990–1993), and Adjunct Professor at UC Berkeley (1995–2002). She has held visiting roles at MIT, University of Michigan, and others. Her research focuses on nonlinear control, hybrid systems, and networked embedded systems, with applications in automotive and air traffic control. She pioneered the DEWS Center of Excellence, addressing embedded controllers and wireless systems, and co-founded WEST Aquila S.r.L. for industrial collaboration. Key roles include IEEE Fellow (2002), editorships for major journals (e.g., IEEE Transactions on Automatic Control, International Journal of Robust and Nonlinear Control), and leadership in global research initiatives like HYCON and iFly projects. Notable contributions include fault-tolerant control of wireless networks, symbolic control for nonlinear systems, and safety-critical analysis of air traffic systems. Her work bridges theory and practice, addressing real-world challenges in control engineering and cybersecurity. Over 150 peer-reviewed publications and 10+ patents reflect her prolific output. Awards: IEEE Fellow (2002), multiple editorial roles, and leadership in international research consortia. Labs/Teams: Director of DEWS Center, Scientific Committee member of CETEMPS, and collaborator with industry partners like Volvo Technology and BlueCrest Capital.

• Speech Processing
• Educational Technology
• Automatic Speech Recognition
• +3 more

David Escudero Mancebo is a Professor at the University of Alcalá, specializing in speech technology and educational tools. His research bridges computational linguistics, assistive technology, and pedagogy, with a focus on accessibility for marginalized groups like individuals with Down syndrome and second-language learners. Research Interests: His work spans: Automatic speech recognition (ASR) adaptation for clinical populations Prosodic analysis in developmental disorders Computer-assisted pronunciation training (CAPT) systems Web accessibility compliance Educational game design for climate change awareness Virtual learning environments Publication Trends: Recent articles (2020-2025) demonstrate interdisciplinary convergence in: Clinical speech analysis (Down syndrome prosody, diagnostic tools) Language education technology (L2 pronunciation trainers, autonomous learning systems) Inclusive design (accessibility standards, disability-focused games) Educational modeling (competency frameworks, virtual lesson planning)

Ari KorhonenView profile

Senior Lecturer

• Computing Education Research
• Educational Technology
• Algorithm Visualization
• +6 more

Ari Korhonen is a Senior University Lecturer in the Department of Computer Science at Aalto University's School of Science. His academic career spans over two decades with a focus on computing education research and educational technology. Korhonen leads research in algorithm visualization, automatic assessment systems, and learning analytics within computer science education. Education: Doctoral degree in Engineering and Technology, Helsinki University of Technology (2003) Licentiate degree in Engineering and Technology, Helsinki University of Technology (2000) Master's degree in Engineering and Technology, Helsinki University of Technology (1997) Research Interests: Korhonen specializes in computing education research with particular expertise in algorithm visualization and automatic assessment systems . His work explores how visual representations of algorithms impact student learning, with significant contributions to tools like TRAKLA2 for data structures education. He investigates learning analytics approaches to understand programming misconceptions and develop targeted interventions. His recent research focuses on prerequisite skill assessment and differentiated learning pathways in computer science education, examining how fragile knowledge in foundational concepts affects advanced topic mastery. Publication Trends: Analysis of Korhonen's recent publications (2017-2025) reveals a strong focus on algorithm education, particularly Dijkstra's algorithm and data structures. His work increasingly incorporates learning analytics to identify student misconceptions, with growing emphasis on automated assessment systems that provide personalized feedback. The research demonstrates a progression from tool development (TRAKLA2) to sophisticated analysis of student learning patterns and prerequisite knowledge gaps, with recent work exploring JSON-based algorithm animation languages and the cognitive aspects of visualization. Awards and Recognition: Docentship at University of Turku (2012-present) Academic Service and Mentorship: Korhonen has supervised 8 theses and collaborates extensively with researchers across Finland and internationally. He serves on editorial boards for key journals including Computer Science Education and ACM Transactions on Computing Education. His service includes program committee memberships for major conferences like ICER (International Computing Education Research). Korhonen actively contributes to building educator networks, particularly through the Finland-US Network for the Study of Engagement and Learning in Games (FUN) and software engineering teacher networks in Finland. Research Groups: Korhonen leads the LeTech Learning Technology Group at Aalto University, focusing on educational technology development and evaluation. His fingerprint analysis shows strong activity in Data Structures (100%), Early Research in Computer Science (37%), Dijkstra Algorithms (37%), Learning Analytics (37%), and Case Studies (37%). He's deeply involved with the Computing Education Research community in Finland, contributing to national initiatives that strengthen computer science pedagogy across institutions.

Blair T. JohnsonView profile

Professor

• Health Promotion
• Social Psychology
• Data Science
• +5 more

Blair T. Johnson is a Board of Trustees Distinguished Professor at the University of Connecticut in the Psychological Sciences Department . His work bridges health promotion , social structure , and advanced data science , with a focus on spatiotemporal methods and meta-analysis. Education : Ph.D. in Psychological Sciences from Purdue University (1988) Research Interests span multiple domains: Health promotion through exercise , mindfulness , and music performance anxiety Social structure analysis, emphasizing community attitudes and stigma Methodological innovations in spatiotemporal modeling and big data strategies Publication Trends since 2020 reveal consistent contributions to health psychology , particularly meta-analytic reviews of behavioral interventions for HIV prevention, exercise efficacy, and mindfulness implementation. His work integrates social epidemiology , behavioral health , and data science to address systemic health challenges. Scientific Awards : Board of Trustees Distinguished Professor Teaching and Leadership include courses like PSYC 3105 and PSYC 5133 , with collaborative research through the SHARP Research Lab . His methodological expertise in meta-analysis and spatiotemporal modeling has shaped evidence synthesis standards in public health.