Find Academic Supervisors

• Serious Games
• Learning Analytics
• Educational Technology
• +3 more

Iván Martínez Ortiz is an academic at Complutense University of Madrid's Faculty of Computing, part of the Software Engineering and Artificial Intelligence Department. His work focuses on serious games, learning analytics, and educational technology. He has contributed to projects like Conectado , a serious game addressing bullying and cyberbullying, validated through extensive learning analytics research. His research emphasizes standards-based systems, such as IMS and xAPI-SG, to streamline serious game deployment and assessment. Notable contributions include integrating game analytics with data science to improve educational outcomes and designing infrastructure for web applications and cybersecurity training environments. He collaborates widely, publishing in journals like Journal of Learning Analytics and IEEE Transactions on Learning Technologies . His research interests span serious games , game-based learning , and data-driven educational assessment . Projects like UAdventure and Simva demonstrate his technical focus on game development tools and validation frameworks. Recent work explores automation in academic tracking systems and narrative-driven educational interventions. Key collaborations include projects on cyberbullying prevention, first aid training simulations, and cloud-based laboratory environments for web development education. His interdisciplinary approach bridges computer science with pedagogical innovation, aiming to enhance both teaching methodologies and student engagement through technology.

Cunxi YuView profile

Assistant Professor

• Systems, Networking, and Architecture
• Machine Learning and Data Science
• Hardware Design
• +3 more

Cunxi Yu is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Maryland, College Park, and an affiliated faculty member in the Department of Computer Science (CS). He holds a Ph.D. from UMass Amherst (2017) and has held postdoctoral positions at Cornell University and EPFL. His research focuses on novel algorithms, systems, and hardware designs for computing and security, with notable contributions in formal verification, logic synthesis, and optical neural networks. He has received prestigious awards including the NSF CAREER Award (2021) and Best Paper Awards at ASPLOS (2025) and DAC (2023). Dr. Yu's academic journey includes prior roles at the University of Utah and industry collaborations with IBM Research. He advises a dynamic research group with PhD students in ECE and CS, and mentors undergraduate researchers. His work bridges formal methods with machine learning, emphasizing practical tools like BoolE (Best Paper Nomination, DAC 2025) and SmoothE (Best Paper Award, ASPLOS 2025). He actively contributes to conferences such as ASAP, ICCAD, and DAC through organizing committees and TPC roles. Key research areas include: - Formal Verification: Algebraic techniques for arithmetic circuits, equivalence checking, and e-graph-based reasoning. - Optical Computing: Design frameworks like LightRidge for diffractive optical neural networks. - Hardware Automation: Reinforcement learning for logic synthesis (e.g., MapTune, Gamora) and EDA tool development. - Security: Reverse engineering of camouflaged circuits and cryptographic hardware verification. His grants include a $900K NSF grant (2024) with Prof. Zhiru Zhang (Cornell) for hardware synthesis. Recent milestones include NVIDIA Academic Research Awards (2025) and DARPA funding for combinatorial optimization.

• Theoretical Computer Science
• Complexity Analysis
• Automated Reasoning
• +4 more

Univ.-Prof. Dr. Georg Moser is a Professor in the Department of Computer Science at the University of Innsbruck. His research focuses on theoretical computer science, complexity analysis, automated reasoning, and formal methods. He leads the Theoretical Computer Science (TCS) group, with expertise in term rewriting systems, programming language semantics, and algorithmic learning theory. Key research areas include: complexity analysis of programs via rewriting techniques, automated tools for resource analysis (e.g., ATLAS), and foundational work on proof theory and logic. His work bridges theory and practice, addressing challenges in program verification and probabilistic systems. Selected publications (2021–2025) highlight advancements in reinforcement learning, quantum program analysis, and modular rule-based systems. He teaches courses like 'Discrete Mathematics' and 'Introduction to Theoretical Computer Science'.

Jose M. VidalView profile

Professor

• Multiagent Systems
• Agent-based Modeling
• Algorithmic Game Theory
• +7 more

Jose M. Vidal is a Professor and Director of Undergraduate Studies in the Computer Science and Engineering department at the Molinaroli College of Engineering and Computing, University of South Carolina . He holds a Ph.D. in Computer Science and Engineering from the University of Michigan (1998), an M.S. in Computer Science from Rensselaer Polytechnic Institute (1991), and a B.S. in Computer Science and Engineering from MIT (1990). His research focuses on multiagent systems , spanning theoretical aspects like coordination mechanisms, algorithmic game theory, and distributed algorithms, as well as implementation in agent-based simulations, web services, and mobile applications. He has authored numerous publications in fields including healthcare process optimization, traffic engineering, and sociological theory construction. 2019: Ad Hoc Vehicle Platoon Formation (Traffic Engineering) 2019: Wikitheoria for Sociological Theory Construction 2018: Email Intent Classification using Deep Learning 2017: Intelligent Transportation Systems using Mobile Data 2016: Healthcare Workflow Simulation Models 2014: Behavioral Modeling from Observational Data He has received significant funding from the NSF, Darpa, and industry partners for projects like Wikitheoria (a collaborative theory-building platform), TargetShare (resource allocation), and mobile healthcare applications. His work bridges theoretical research with practical implementations in domains ranging from traffic systems to hospital operations.

• Manufacturing Automation
• Cutting Tool Monitoring
• AI in Manufacturing
• +3 more

Tamas Szecsi is an Associate Professor at the School of Mechanical & Manufacturing Engineering at Dublin City University. With a PhD in Manufacturing Engineering from the University of Rousse, his career spans academic positions in Bulgaria and Hungary prior to joining DCU in 1999. Szecsi's research focuses on manufacturing automation, particularly cutting tool condition monitoring systems, precision machining accuracy, and industrial robotics applications. His work integrates AI techniques with traditional manufacturing processes to develop advanced monitoring and quality control systems. Recent projects include robotic systems for hospital environments, ergonomic design of industrial equipment, and precision engineering solutions for CNC machining. Collaborative research extends to healthcare robotics through the iWARD project, developing service modules for hospital automation. Publications demonstrate applied research addressing manufacturing challenges through sensor technology, error compensation algorithms, and human-centered design principles. Szecsi teaches courses in manufacturing processes, automation systems, and CAD/CAM technologies.

Maria MatheouView profile

Assistant Professor

• Kinetic Architecture
• Adaptive Structures and Envelopes
• Automated Design Systems
• +3 more

Maria Matheou is a junior professor at the Institute for Lightweight Structures and Conceptual Design (University of Stuttgart), where she leads the A07 subproject within the DFG-funded SFB1244 initiative. Her research focuses on adaptive kinetic facades, aiming to enhance urban sustainability through dynamic building envelopes that improve daylight performance and mitigate urban heat islands. She teaches design studios emphasizing transformable architecture and interdisciplinary approaches. She holds a B.Sc. (2009), Diploma (2010), and Ph.D. (2014) in Architecture from the University of Cyprus, with postdoctoral research on kinetic hybrid structures. Her work integrates robotics, automation, and environmental engineering to create responsive architectural systems. Key Research Projects : SFB1244: Adaptive skins for future built environments ADDOPTML: Optimized 3D-printed structures using machine learning Teaching : Adaptive Façade Skins (B.Sc./M.Sc., University of Stuttgart) Building Technology (University of Cyprus) Awards : Lambros & Thalia David Award for Excellence in Architectural Design (2010) University of Cyprus Scholarship for Academic Excellence (2013) Her lab collaborates globally with institutions like McGill University and the National Technical University of Athens on daylight optimization and reconfigurable mechanisms.

Eduardo Castelló FerrerView profile

Assistant Professor

• Robotics
• Blockchain Technology
• Swarm Robotics
• +3 more

Eduardo Castelló Ferrer is an Assistant Professor of Robotics & AI at IE University (Spain), affiliated with the School of Science and Technology. He holds a PhD in Robotics Engineering from Osaka University (Japan) and was a Marie Curie Fellow at MIT Media Lab (USA). His research integrates robotics with blockchain technology to enhance security, autonomy, and cooperation in robotic systems. He leads the Cyber-Physical (CyPhy) Life research group and teaches courses on robotics, blockchain, and AI. Education: PhD in Robotics Engineering, Osaka University (2016) M.Eng. in Robotics Engineering, Osaka University (2011) BSc in Intelligent Systems, University of Portsmouth (2007) Research Interests: Dr. Castelló focuses on secure decentralized robotics systems, economic autonomy for robots, and blockchain applications in swarm robotics. His work addresses challenges like Byzantine fault tolerance, trustless collaboration, and autonomous decision-making. Notable projects include Gaka-chu (a self-employed robot artist) and iTrash (decentralized waste management). Awards: Marie Curie Fellowship (MIT Media Lab, 2016–2019) Teaching: Courses include Robotics and Automation, Blockchain & Fintech, and Technology Trends in Customer Experience. He emphasizes practical skills using tools like ROS and blockchain frameworks. Labs & Projects: Active projects include urban swarm systems, robotic economic autonomy, and secure multirobot cooperation. His work is published in top journals like Science Robotics and IEEE Transactions on Robotics .

Fas LebbieView profile

Researcher

• Transition Design
• Human-Centered Design
• Social Enterprise
• +7 more

Fas Lebbie is a PhD researcher and teaching fellow at Carnegie Mellon University's School of Design , specializing in Transition Design with focus on African mineral resource systems. His transdisciplinary work bridges design theory with technology, entrepreneurship, and social justice frameworks across four continents. Current industry roles: Product Design Manager at Meta , MIT GOV/LAB mentor Academic contributions: 15+ peer-reviewed case studies in fintech, AR design, and criminal justice reform Core research areas examine: Regenerative mining practices in West Africa Design interventions for financial inclusion Digital tools in industrial knowledge transfer Systems mapping of carceral economies Post-extractive economic transitions

Shuhei MiyashitaView profile

Lecturer

• Robotics
• Microrobotics
• Self-assembling systems
• +5 more

Dr. Shuhei Miyashita is a Lecturer in Robotics at the University of Sheffield's Automatic Control and Systems Engineering Department. He holds a Ph.D. from the University of Zurich (2011) and has held positions at MIT (2011–2015), Carnegie Mellon University (2011–2015), and the University of York (2016–2018). His research focuses on microrobotics, self-assembling systems, biomedical robotics, and metamaterials, with applications in medical technology and 4D printing. He leads the Sheffield Microrobotics Lab, advancing innovations in programmable materials and robotic systems for healthcare and engineering. Dr. Miyashita's academic journey includes postdoctoral research at top institutions and teaching roles in mechatronics and robotics. His work bridges theoretical robotics with practical applications, emphasizing self-assembly, adaptive systems, and medical robotics. His lab develops cutting-edge solutions for tissue regeneration, ingestible robots, and modular robotic systems. Key research themes include magnetic actuation, origami-inspired engineering, and temperature-responsive materials. He collaborates internationally, contributing to advancements in robotic systems for surgery and environmental adaptation. His publications span journals like Science Robotics , IEEE Transactions , and Nature -affiliated journals, reflecting interdisciplinary impact. Awards and recognition are not explicitly listed in the provided texts, but his prolific publication record and leadership in robotics innovation highlight his contributions to the field. Teaching responsibilities include courses on mechatronics, emphasizing hands-on design and control systems.

Sabrina M. NeumanView profile

Assistant Professor

• Computer Architecture
• Robotics
• Domain-Specific Accelerators
• +3 more

Sabrina M. Neuman is an Assistant Professor of Computer Science at Boston University, specializing in computer architecture design informed by domain-specific insights, particularly for robotics applications. She holds a PhD in Electrical Engineering and Computer Science from MIT and was a postdoctoral NSF Computing Innovation Fellow at Harvard University. Her research focuses on closing computational gaps in robotics through domain-specific accelerators, leveraging robot morphology for hardware design. She has received honors including the 2021 EECS Rising Star and the Boston University Innovation Career Development Professorship (2023-2026). Education: PhD in Electrical Engineering and Computer Science, MIT M.Eng. in Electrical Engineering and Computer Science, MIT S.B. in Electrical Engineering and Computer Science, MIT Research Interests: Her work emphasizes domain-specific computing for robotics, including automated hardware design flows, FPGA/ASIC acceleration for motion planning, and scalable accelerator deployment across robot platforms. She develops methodologies like Robomorphic Computing, which translates robot morphology into customized hardware accelerators, achieving significant speedups in critical robotics kernels. Awards & Recognition: 2021 EECS Rising Star IEEE Micro Top Picks Honorable Mentions (2022, 2023) 2023-2026 Boston University Innovation Career Development Professorship Grants & Contributions: Developed RobotPerf, an open-source benchmarking suite for robotics computing systems Worked on Grid (GPU-accelerated rigid body dynamics) and RobotCore (ROS 2 hardware acceleration) Labs & Teams: While no specific lab name is mentioned, her work integrates closely with Boston University's robotics and computer architecture groups, emphasizing open collaboration with industry and academia.

Marek BehrView profile

Professor

• Computational Mechanics
• Fluid Dynamics
• Biomedical Engineering
• +3 more

Marek Behr is a Professor (C4/W3) and Chairholder at the Chair for Computational Analysis of Technical Systems within the Faculty of Mechanical Engineering at RWTH Aachen University since 2004. He also holds an Adjunct Professorship at Rice University’s Department of Chemical and Biomolecular Engineering since 2005. His academic leadership roles include serving as Founding Director of the Center for Simulation and Data Science (CSD) since 2018, President of the German Association for Computational Mechanics (GACM) since 2021, and Executive Council Member of the International Association for Computational Mechanics (IACM) since 2020. He coordinates the International Research Training Group 2379 Modern Inverse Problems with the University of Texas at Austin. Behr’s research focuses on computational fluid dynamics (CFD) , biomedical engineering , and finite element methods , with applications in cardiovascular modeling, multiphysics systems, and manufacturing processes. His work bridges engineering and medicine, addressing challenges like in-stent restenosis, hemolysis prediction, and advanced material processing. He has an h-index of 45 (Google Scholar) and over 3,600 citations. Teaching responsibilities include courses such as Simulation Methods in Mechanical Engineering , Parallel Computing in Computational Mechanics , and Finite Elements in Fluids . His research group actively collaborates with institutions like the Jülich-Aachen Research Alliance (JARA) and the Oden Institute . Recent publications emphasize computational models for cardiovascular devices, machine learning in structural health monitoring, and advanced manufacturing simulations, reflecting his interdisciplinary approach to solving complex engineering problems.

Edmund RobinsonView profile

Professor

• Computer Science
• Mathematical Logic
• Category Theory
• +4 more

Professor Edmund Robinson is a Professor of Computer Science and Head of the Centre for Fundamental Computer Science at Queen Mary University of London (QMUL). He holds academic qualifications including MA, MMath, and PhD, and is a Fellow of the British Computer Society (FBCS) and a Chartered IT Professional (CiTP). His primary affiliations include the School of Electronic Engineering and Computer Science, where he leads research in foundational areas of computer science. Research Interests: Robinson specializes in Logic, Category Theory, and Semantics, with a focus on proof theory, categorical semantics, and foundational programming language constructs. His work bridges theoretical computer science and mathematical logic, addressing topics such as parametricity, realizability, and logical relations. Teaching: He teaches modules like Computer Systems and Networks (undergraduate) and Functional Programming (undergraduate/postgraduate), emphasizing machine-level computing and modern functional languages like Haskell and F#. Grants and Funding: Key grants include the £322,127 OfS Data Science & AI competition (2020–2023) and the £869,078 Interface reasoning for interacting systems (IRIS) (2018–2024), both supporting foundational research in computer science and AI. Labs/Teams: As Head of the Centre for Fundamental Computer Science, he oversees interdisciplinary research in theoretical computer science, fostering collaborations across QMUL and international institutions.

Stephan HitchinsView profile

Lecturer

• Design Thinking
• Human-centered Design
• Complex Problem-Solving
• +7 more

Stephan Hitchins is an Associate Lecturer (Education Focused) in Business Administration at RMIT University's Management Department. He specializes in Design Thinking, particularly its application in problem-solving and education. His 5E Design Thinking Framework has been integrated into RMIT's EMBA/MBA programs. He is completing a PhD on Design Thinking's effectiveness in addressing 'wicked problems.' Research interests include human-centered design, innovation, AI's role in creativity, and leadership's impact on team dynamics. He has taught courses like People and Organisations, Marketing, and Design Thinking across Australian universities. His work emphasizes digital platforms for cognitive flexibility and cross-disciplinary collaboration. Key contributions include frameworks for non-linear problem-solving and articles on topics like AI in brainstorming, circular economy integration, and design thinking's role in social issues like domestic violence. His articles highlight innovation in education, healthcare, and community systems.

Mitch MarcusView profile

Professor

• Statistical natural language processing
• Cognitively plausible models
• Linguistic structure acquisition

Mitch Marcus is a Professor Emeritus in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science. He earned his Ph.D. from MIT in 1978 and joined Penn in 1987 after working at AT&T Bell Laboratories. His research focuses on statistical natural language processing and cognitively plausible models for automatic acquisition of linguistic structure. Dr. Marcus created and led the Penn Treebank Project, which revolutionized natural language parsing accuracy. He has served as PI on multiple major projects including DARPA LORELEI and GAILA AIX, focusing on unsupervised morphology acquisition and child language acquisition simulations. Awards: Fellow of American Association for Artificial Intelligence (1992) Founding Fellow of Association for Computational Linguistics (2011) Advising: His former PhD students hold positions at institutions including MIT, Johns Hopkins, Google, and Microsoft Research. Research groups: Directed the Penn Treebank Project and co-led the OntoNotes Project. Currently collaborates on natural language understanding for human-robot interaction.

Alicia Nahmad-VazquezView profile

Associate Professor

• Digital Fabrication
• Robotic Fabrication
• Architectural Geometry
• +3 more

Dr. Alicia Nahmad-Vazquez is an Associate Professor of Architecture at the University of Calgary's School of Architecture, Planning, and Landscape (SAPL), where she co-directs the Laboratory for Integrative Design. As a UCalgary Research Excellence Chair, she focuses on bridging robotics, digital fabrication, and traditional building practices to democratize advanced technologies for community empowerment. Her work emphasizes social innovation through participatory design frameworks that integrate technology, architectural geometry, and sustainable construction methods. Affiliations: University of Calgary (SAPL), Laboratory for Integrative Design Roles: Academic, Artist, Entrepreneur (founder of The Circular Factory, MI Toolbox, and Architecture Extrapolated) Her research explores topics such as decentralized manufacturing systems, robotic-assisted fabrication, and community-driven design strategies. She advocates for architecture that prioritizes humanity and sustainable growth, inspired by the vision of cities functioning as nurturing environments. Her entrepreneurial ventures aim to translate academic innovation into real-world applications, such as custom PPE solutions and timber-based micro-factories. Recent publications highlight her focus on human-robot collaboration, multi-objective optimization in facade design, and the integration of advanced materials into construction processes. While specific awards are not listed, her work has garnered international acclaim for its interdisciplinary impact. Dr. Nahmad-Vazquez’s advising and grants reflect her commitment to empowering communities through technology. Her labs and teams, like the Laboratory for Integrative Design, emphasize hands-on experimentation and cross-disciplinary collaboration. She envisions a future where architecture balances technological advancement with social and environmental responsibility.