Find Academic Supervisors

• Computer Architecture
• Scalable System Architecture
• Low-Power Computing
• +14 more

Manolis G.H. Katevenis is a Professor at the Department of Computer Science, University of Crete, and the founder and Head of the Computer Architecture and VLSI Systems (CARV) Laboratory at the Institute of Computer Science (ICS), Foundation for Research and Technology – Hellas (FORTH) in Heraklion, Crete, Greece. He has held academic positions since 1986 and played a pivotal role in establishing the Computer Science Department at the University of Crete. His research spans computer architecture, interconnection networks, VLSI systems, and high-performance computing, with a strong focus on scalable, low-power, manycore systems and RISC-V. He has led numerous European R&D initiatives, including serving as Coordinator of the ExaNeSt project. PhD in Computer Science, University of California, Berkeley (1983) MSc in Electrical Engineering and Computer Science, University of California, Berkeley (1980) Diploma of Electrical Engineering, National Technical University of Athens (1978) Manolis Katevenis's research focuses on advancing scalable system architectures for high-performance and big data computing. His work in computer architecture includes RISC-V, exascale computing, and manycore systems. He has made foundational contributions to interprocessor communication, particularly through remote-write, remote-DMA, and remote-enqueue mechanisms, and has pioneered innovations in interconnection networks and low-latency network interfaces. His research integrates hardware and software co-design to optimize performance, energy efficiency, and scalability in large-scale computing systems. The recent publications highlight a strong trend in exascale computing, interconnection networks, and FPGA-based prototyping of manycore systems. His work emphasizes scalable, low-power architectures, with recurring themes in congestion management, fair scheduling, crossbar design, and hardware-software integration for HPC. The articles span high-impact journals such as IEEE/ACM Transactions on Networking, IEEE Micro, and Computer Networks, reflecting sustained contributions to computer architecture and networking. ACM Doctoral Dissertation Award (1984) David J. Sakrison Memorial Prize (1983) IBM PhD Fellowship (1981–1983) Greek State Fellowship (1973–1978) Stelios Pichoridis Award for Outstanding University Teaching (2015) Member of Academia Europaea (elected 2012) Award by the Secretary General of the Region of Crete (2003) IEEE Milestone recognition for the RISC Project (2015) Manolis Katevenis has supervised over 50 graduate theses and mentored many prominent Greek computer architects, including recipients of the ACM Maurice Wilkes Award. He has served as Principal Investigator or co-PI in over 30 R&D projects with a total budget exceeding 18 million euros, including major European initiatives such as ExaNeSt (which he coordinated), EuroEXA, EcoScale, SARC, ENCORE, and multiple HiPEAC Network of Excellence projects. His leadership extends to project coordination, architectural design, FPGA prototyping, and systems software development. Katevenis founded and leads the CARV Laboratory at FORTH-ICS, a major research team with 80–100 members focused on computer architecture and VLSI systems. The lab has spun off the Distributed Computing Systems (DCS) Laboratory and is central to European exascale computing efforts, including participation in the European Processor Initiative. CARV has developed large-scale prototypes such as the 768-core ExaNeSt system and the Formic FPGA platform for manycore research.

Tomo NagashimaView profile

Assistant Professor

• Technology-Enhanced Learning
• Human-Computer Interaction
• Learning Sciences
• +7 more

Tomo Nagashima is a tenure-track Assistant Professor of Technology-Enhanced Learning in the Department of Computer Science at Saarland University, Germany, and a Faculty Associate at Harvard University’s Berkman Klein Center for Internet & Society. He directs the interdisciplinary LaLa Lab (Learning to Adapt, Learning with Agency Lab), where he leads research on intelligent systems that support human learning, student agency, and self-regulated learning in STEM contexts. His educational background includes a Ph.D. in Human-Computer Interaction from Carnegie Mellon University, advised by Dr. Vincent Aleven, and a Master’s in Learning, Design, and Technology from Stanford Graduate School of Education, where he worked with Dr. Candace Thille. His research is deeply collaborative, involving co-design with educators and learners, and is grounded in school-based experimental and qualitative studies. Nagashima’s research interests span Technology-Enhanced Learning, Human-Computer Interaction, Artificial Intelligence in Education, and the learning sciences. He focuses on designing and evaluating intelligent tutoring systems, educational games, and AI-integrated learning environments that foster meaningful student engagement. His work emphasizes student choice-making, conceptual learning in mathematics, and children’s understanding of AI. His recent publications, presented at top venues like AIED, CHI, ISLS, and EC-TEL, reflect a strong trend toward understanding student agency in AI-supported learning, optimizing feedback and interface designs in intelligent tutors, and developing trustworthy AI agents through co-design with students. These works integrate cognitive, affective, and motivational dimensions of learning. Humboldt Foundation Henriette Herz Scout (2025) Busy Beaver (Outstanding Teaching) Award Nominee (2024) Best Paper Nominee, AIED25 Nagashima actively mentors PhD and postdoctoral researchers, including Man Su (Echo), Shintaro, and Mirella. He has secured internal funding for projects like AlgeSPACE in collaboration with Prof. Maria Theobald at Trier University. His lab has an active hiring pipeline for postdocs and thesis students, supported by the Humboldt Fellowship program. The LaLa Lab fosters a collaborative, interdisciplinary environment focused on co-design, school-based research, and open science. It emphasizes partnerships with international researchers and institutions, including Harvard, Stanford, and the University of Oulu, where lab members have undertaken mobility visits.

Harvey SiyView profile

Professor

• Software Engineering
• Computer Science
• Empirical Software Studies
• +2 more

Harvey Siy, Ph.D., is a Professor in the Department of Computer Science at the University of Nebraska at Omaha (UNO) since Fall 2020, after serving as Assistant Professor (2005-2011) and Associate Professor (2011-2020). He chairs the Computer Science Undergraduate Program Committee and contributes to graduate program leadership. His teaching focuses on software engineering, software evolution and maintenance, user interface design, and computational thinking. Education: Ph.D. in Computer Science from University of Maryland - College Park (1996) His research centers on empirical software engineering, mining software repositories, software product lines, knowledge management in software engineering, and software assurance. He led the externally funded NSF project SPARCS (2015-2019) aiming to enhance computer science education through strategic problem-based learning. He is affiliated with the lab in room PKI 355 at UNO.

Ann FruhlingView profile

Professor

• Human-Computer Interaction
• Health Informatics
• User Interface Design
• +7 more

Ann Fruhling is a Distinguished Professor in the College of Information Science & Technology at the University of Nebraska at Omaha, where she serves as the founding Director of the School of Interdisciplinary Informatics and Chair of the Ph.D. in Computing and Information Science program. She is also co-Director of the Nebraska University Center for Biomedical Informatics Research and Innovation and Director of the Consortium for Public Informatics (CPHI). Education: Ph.D. in Management Information Systems, Strategy, Marketing, Computer Science, and Human-Computer Interaction – University of Nebraska–Lincoln, 2003 MBA – University of Nebraska at Omaha, 1991 BS in Computer Information Systems – Colorado State University, 1983 Dr. Fruhling's research centers on human-computer interaction, usability, health and biomedical informatics, and agile system development. Her work emphasizes designing and evaluating information systems for high-stakes environments, particularly emergency response and public health laboratories. She is the Principal Investigator of STATPack™, a widely deployed bioterrorism surveillance system. Her recent publications reflect a strong focus on usability in health IT, emergency informatics, agile methodologies, and public health system design. The research spans disciplines including information systems, cognitive science, software engineering, and public policy, with recurring themes of user-centered design, system reliability, and real-world implementation challenges. Scientific Awards: Charles W. and Margre H. Durham Distinguished Professor (2017) UNO Graduation Marshal (2016) Mutual of Omaha Distinguished Professor (2011) Nebraska Navy Admiral Award (2006) Dr. Fruhling has secured over $8.5 million in research funding across more than 100 projects, supporting the training and development of over 85 students. She advises doctoral students in the CIS Ph.D. program and leads collaborative research initiatives through CPHI and the Biomedical Informatics Center. Her teaching portfolio includes Human-Computer Interaction, Health Informatics, Agile Development, and MIS Capstone courses. She leads the STATPack™ research lab in PKI 363 and collaborates with public health laboratories across the Midwest. Her team focuses on developing, evaluating, and deploying informatics solutions for emergency preparedness and response.

James WhisstockView profile

Professor

• Structural Biology
• Protein Structure
• Molecular Biology
• +4 more

Professor James Whisstock is a renowned structural biologist at Monash University, holding roles as Deputy Dean of Research in the Faculty of Medicine, Nursing and Health Sciences (since 2022). He leads research in protein structures, focusing on membrane attack complex/perforin-like proteins and blood coagulation pathways. His work contributes to UN Sustainable Development Goals related to health and innovation. He completed his PhD at the University of Cambridge and has held prestigious fellowships, including ARC Australian Laureate and NHMRC Senior Principal Research Fellowships. Key achievements include directing the ARC Centre of Excellence in Advanced Molecular Imaging (2014–2021) and leading EMBL Australia (2017–2024). Research interests span structural biology, protease inhibitors, and immunology. He has developed technologies like the Monash Ramaciotti Cryo-Electron Microscopy platform. Awards include the Gottschalk Medal (2010) and Science Minister’s Prize (2006). Over 300 publications and 10 patents highlight his impact. Collaborations span global institutions, advancing biomedical research and drug discovery.

Leonardo Magela CunhaView profile

Lecturer

• Artificial Intelligence
• Multi-agent Systems
• Agent-based Modeling
• +4 more

Leonardo Magela Cunha is a Lecturer in Computer Science at King's College London's Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD from the Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) and previously worked as a Software Engineer at Petrobras. His research focuses on Artificial Intelligence, Multi-agent Systems, Agent-based Modeling, Semantic Web technologies, and Responsible AI Education. He is affiliated with King's Computing Education Research Centre (CERC) and contributes to the Sustainability Hub, exploring Distributed Artificial Intelligence in socio-economic contexts. Key research interests include the intersection of AI ethics with education, semantic frameworks for collaborative environments, and agent-based approaches to group formation in e-learning platforms. He co-authored the influential 2023 working paper on Responsible AI Education frameworks, blending technical and pedagogical insights. Earlier work centered on semantic web applications, model-driven architecture (MDA), and collaborative learning platforms like AulaNet, leveraging agent-based approaches for group management and task allocation. His academic contributions span over 15 publications since 2001, emphasizing both foundational technical research and applied educational technology. He leads the Computing Education Research Centre's initiatives in curriculum design and pedagogical innovation, particularly in computer science education. Current projects aim to integrate sustainability metrics into distributed AI systems and address ethical challenges in AI curricula. Labs/Teams: Sustainability Hub, Computing Education Research Centre (CERC) Key Collaborations: Multi-institutional AI ethics frameworks, Agent-based learning systems Future Work: Expanding Responsible AI education programs, semantic web interoperability standards

• Emerging Technologies
• Artificial Intelligence
• Metaverse
• +7 more

Dr. Brenda Eschenbrenner is a Professor in the Department of Accounting, Finance, and Economics at the University of Nebraska at Kearney (UNK), within the College of Business & Technology. She is a Certified Public Accountant (Inactive Registrant) with extensive industry experience as a Senior Finance Manager at Gateway, Inc. and Senior Auditor at Deloitte & Touche, LLP. Her academic work bridges cutting-edge research and practical application in emerging technologies. Ph.D. in Management Information Systems, University of Nebraska - Lincoln M.B.A., University of Nebraska - Lincoln B.S. in Business Administration, University of Nebraska at Kearney Her research focuses on emerging technologies such as artificial intelligence, the metaverse, data analytics, and information systems usage, particularly in accounting and education. She explores user competency, human-computer interaction, and the integration of technology in professional training. Her work emphasizes both theoretical contributions and real-world applicability. The analysis of her recent publications reveals a strong trend in AI and fintech applications in accounting , mobile wallet adoption, blockchain auditing, and experiential learning through digital platforms. Her research spans disciplines including information systems, accounting, education technology, and cybersecurity, often applying behavioral models like TAM to understand technology adoption. Dr. Eschenbrenner has received numerous scientific honors, including: UNK CBT Outstanding Faculty Award for Teaching and Research Ron and Carol Cope Professorship Pratt-Heins Foundation Faculty Award for Scholarship/Research Faculty Member of the Year, Beta Alpha Psi (3 years) Multiple Becker Faculty Research Incentive Fund Awards In terms of advising and grants, while specific students are not listed, she has secured multiple research incentive awards supporting her work. Her professional service includes serving on the Editorial Review Board for AIS-THCI and as a Board Member of The IMA Platte Valley Chapter, reflecting her active engagement in the academic and professional accounting community. Dr. Eschenbrenner is a strong advocate for experiential learning, designing curricula that emphasize hands-on experiences to build foundational knowledge and essential skill sets. Though no formal lab or research team is mentioned, her research direction suggests leadership in technology-integrated accounting education and emerging tech applications, positioning her at the forefront of digital transformation in the field.

• Scientific Visualization
• Computer Graphics
• Virtual Reality
• +3 more

Guido Reina is a Senior Academic Councillor at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Ertl Working Group. His research focuses on scientific visualization, computer graphics, and virtual reality, with a particular emphasis on rendering techniques for particle data, foveated visualization, and reproducibility in visualization workflows. His work spans interdisciplinary applications, including porous media analysis, energy-efficient rendering, and integration of visualizations into gaming consoles. He has contributed to frameworks like MegaMol and explored adaptive resolution scaling for high-performance 2D visualization. Guido is also a co-author of the EGPGV 2023 Best Paper Award. EGPGV 2023 Best Paper Award Guido collaborates with teams at VISUS and the University of Stuttgart, advancing immersive analytics and in situ visualization methodologies. His publications highlight the evolution of visualization research toward handling large-scale datasets, optimizing rendering pipelines, and enhancing user interaction in augmented/virtual reality environments.

Gunnar TeegeView profile

Professor

• Formal Verification
• Virtualization
• Distributed Systems
• +7 more

Prof. Dr. Gunnar Teege is a faculty member at the Institute for Computer Engineering within the Faculty of Computer Science at Bundeswehr University Munich. His career spans over two decades, focusing on distributed systems, virtualization, and formal verification of operating system components. He has led numerous research projects, including collaborations with institutions like the Runder Tisch GIS eV and the Bavarian State Office for Surveying and Geoinformation. Education: Diploma in Computer Science from Technical University of Munich (1985), Doctorate in Computer Science from TUM (1991) Affiliations: Member of GI (Gesellschaft für Informatik) and ACM (Association for Computing Machinery) Research interests include formal verification of software components for secure systems, virtualization frameworks, distributed systems, military communications, geospatial data interoperability via OpenGIS standards, computer-supported cooperative work (CSCW), and E-Learning platforms. His work often bridges theoretical and applied domains, particularly in defense IT systems and education technology. He has contributed to projects like Targeteam (XML-based adaptable teaching materials), HoBIT (high-security embedded systems), and MiKscHA (microkernel applications for high-security environments). His publications emphasize modularity, tailorability, and security in software design. Teaching activities at Bundeswehr University Munich include courses on operating systems, distributed systems, virtualization, and cybersecurity. Previously, he taught problem-based learning in computer science at TU Munich and developed virtual lectures for the Virtual University of Bavaria (vhb) from 2001–2005.

Gruia-Catalin RomanView profile

Professor

• Mobile Computing
• Distributed Systems
• Software Engineering
• +12 more

Gruia-Catalin Roman is a Professor in the Department of Computer Science at the University of New Mexico, within the College of Engineering. He has maintained a long-standing and impactful career in computer science research and education, with a focus on mobile computing, distributed systems, and the Internet of Things. His work bridges theoretical foundations and real-world applications, particularly in sensor networks and smart environments. Ph.D., Computer and Information Sciences, University of Pennsylvania, 1976 M.S., Computer and Information Sciences, University of Pennsylvania, 1974 B.S., Computer Science and Engineering, University of Pennsylvania, 1973 Roman's research interests center on enabling natural, responsive, and personalized interactions between people and smart environments. He explores middleware, formal methods, and human-centered computing to support IoT, mobile systems, and distributed applications. His work emphasizes paradigm shifts in how users interact with technology, particularly through spatial characteristics, augmented reality, and context-aware automation. The recent articles reflect a strong trajectory toward intelligent, user-aware IoT systems. Themes include conflict prediction, seamless automation, AR-based control, and abstraction layers like the Space Broker. These works demonstrate a shift from device-centric to human-centric computing, leveraging machine learning, middleware, and distributed algorithms to reduce user cognitive load and enhance personalization. SenSys 2022 Test of Time Award for early efforts to introduce sensor networking technology into clinical practice Roman has supervised 19 doctoral students, many of whom have pursued academic careers. He has secured significant research funding, including an NSF grant on context-assisted interactions in IoT with UT Austin. His leadership extends to organizing flagship conferences such as ICSE 2005 and FSE 2010, and serving on editorial boards of top software engineering journals. He is known for his innovative teaching, mentoring, and advocacy for active learning and multidisciplinary collaboration. Roman leads the Mobile Computing Laboratory (MobiLab), where students and researchers prototype and evaluate IoT interaction paradigms. The lab explores smart glasses, QR-based interfaces, and spatial control algorithms. His work often involves collaborations across institutions and disciplines, reflecting his commitment to impactful, real-world computing solutions.

Frank SchwarzbachView profile

Professor

• Geoinformatics
• Geographic Information Systems (GIS)
• Spatial Data Management
• +5 more

Prof. Dr.-Ing. Frank Schwarzbach is a Professor of Geoinformatics at the Faculty of Spatial Information , HTW Dresden. He teaches core modules like Geographic Information Systems I/II , Geodatabase Systems , and GIS Applications across Geomatics, Environmental Engineering, and Archaeology programs. His role includes being Studiendekan for the Master's in Geoinformatics/Management and a member of the university Senate. Current research focuses on GIS applications, historical map georeferencing, and multimedia spatiotemporal visualization. Projects include the Bohemian-Saxonian Literature Landscape interactive map and collaborations with museums, archaeological institutes, and government agencies. He has led GIS software testing initiatives and developed educational materials for geospatial standards. His publications and workshops since 2002 emphasize GIS interoperability, WebGIS, and vector graphics. He is also involved in laboratory operations for geoinformatics and data processing.

Charles CusackView profile

Professor

• Algorithms
• Graph Theory
• Combinatorics
• +4 more

Charles Cusack is a Professor of Computer Science at Hope College, where he has taught since 2005, with a joint appointment in the Department of Mathematics & Statistics since 2016. His expertise spans theoretical and algorithmic domains, particularly in discrete mathematics, graph theory, and algorithmic art. Ph.D. in Computer Science (2000), University of Nebraska–Lincoln M.S. in Computer Science (1998), University of Nebraska–Lincoln M.S. in Discrete Mathematics (1994), Michigan Technological University B.S. in Pure Mathematics (1992), Michigan Technological University His research focuses on graph pebbling, Lemke graphs, and their connections to network optimization, number theory, and computational complexity. He has also pioneered algorithmic art creation using mathematical principles and Lego/Pix Brix since 2022, generating over 3 million unique works through custom programs. Recent publications highlight his work in graph algorithms, combinatorial design, computational complexity, and innovative applications of gaming to distributed computing. While specific scientific awards are not named, his algorithmic art has been recognized in local and international exhibitions. Outside academia, he is an active runner and disc golfer, contributing to community engagement through the Holland Running Club.

Christopher Reid BeckerView profile

Adjunct Associate Professor

• Interaction Design
• User Experience Design
• Human-Computer Interaction
• +7 more

Christopher Reid Becker is an Adjunct Associate Professor and experienced Interaction Designer, Sr. UX Designer, and Design Researcher with over 16 years of professional experience. He serves as a Lead Curriculum Architect at Trilogy Education Services (a 2U Inc Brand) and works as a Sr. UX Design Mentor with Designlab. Becker has consulted with Bttr Agency as a Product/Sr. UX Design consultant from 2021-2023 and has authored multiple publications on human-computer interaction and UX design. Becker's educational background includes: MFA in Media Design from Art Center College of Design (2008-2010) Incomplete BFA in Graphic Design from Art Center College of Design (2007-08) BFA in Graphic Design/Painting from Colorado State University (2004) Becker specializes in Human-Computer Interaction (HCI), User Experience Design, and Interaction Design with a strong focus on human-centered methodologies. His research and practice emphasize designing systems that are useful, usable, accessible, and delightful for all users. He extends the ethos of human-centered design and empathy-based software development across various platforms including web, mobile, and physical products. Becker's work bridges the gap between theoretical design principles and practical application in business contexts. His recent publications demonstrate a clear trend toward integrating emerging technologies like AI with established UX practices while maintaining a strong human-centered focus. Becker explores how generative AI can enhance ideation and scenario planning in UX design while cautioning against technology's obsession with speed at the expense of quality and craft. His work consistently emphasizes foundational HCI principles while adapting to new technological landscapes. As an educator, Becker has received positive testimonials from students who praise his well-structured curriculum and passion for teaching. He has developed design thinking workshops and created educational materials to facilitate the design thinking process. His approach to education emphasizes student-centered principles and aims to prepare learners for real-world design challenges. Becker actively contributes to the design community through speaking engagements, including a lecture on Information Architecture at World IA Day (WAID 2025) at Art Center College of Design. His recent book "Effective UX Design Strategies," published in March 2025, provides practical guidance on human-centered design and agile UX implementation for new and aspiring professionals.

• Business Information Systems
• Management Support Systems
• Business Intelligence & Analytics
• +5 more

Prof. Dr. Marco C. Meier holds the Chair of Business Information Systems and Management Support at the Faculty of Business and Economics, University of Augsburg. His work bridges business, computer science, psychology, and engineering, focusing on digital transformation and human-centered management systems. Research Areas: Business Intelligence & Analytics, Persuasive Technology, Design Thinking, and Theme-Centered Interaction (Ruth Cohn). His team explores technologies like business analytics and information visualization, methods including design science research, and collaborative frameworks for meaningful decision-making. Recent Publications highlight gamification in information security education (HICCS 2023), educational game design (AMCIS 2025), and long-term contributions to ERP systems and SAP integration. Articles emphasize cross-disciplinary approaches to data overload and adaptive management support. Scientific Recognition: Nominated for Gesellschaft für Informatik Dissertation Prize (2000) Best Paper Award at International Conference Wirtschaftsinformatik (2001) Multiple "Best Teacher" and "Lecturer of the Year" awards (2009-2020) Academic Leadership: Former Managing Director of Bavarian Business Informatics Research Network (FORWIN), Deputy Director of Finance & Information Management Competence Center (FIM), and Head of Business Intelligence Department at Fraunhofer Project Group. Supervises PhD students and research assistants like Ramona Reinelt and Raphaela Stöckl. Teaching Philosophy: Advocates active learning through inverted classroom models and blended learning approaches. Requires prior research module completion for thesis supervision. Emphasizes methodological rigor and practical relevance in exams and research projects.

• Computer Science Education
• Visual Programming Languages
• Computational Thinking
• +5 more

Alexander Repenning is a Professor in the Department of Computer Science at the University of Colorado Boulder's College of Engineering and Applied Science. He has been a leading researcher in computer science education, particularly in the areas of visual programming, computational thinking, and game-based learning for over three decades. Repenning's research focuses on making programming accessible to novices through innovative environments like AgentSheets and AgentCubes. His work emphasizes blocks-based programming, computational thinking patterns, and scalable approaches to computer science education. He has pioneered the Scalable Game Design methodology which has been implemented in schools worldwide to teach computational thinking through game design. His recent publications (2021-2024) show a continued focus on blocks-based programming environments, with emerging work integrating AI concepts into educational programming tools. His research demonstrates consistent interest in understanding how to make programming more accessible while preserving computational thinking principles, with particular attention to flow theory, scaffolding techniques, and measuring educational impact. Significant contributions to scalable game design methodology Pioneering work in blocks-based programming for education Development of AgentSheets and AgentCubes environments Repenning has mentored numerous researchers who have become leaders in computer science education themselves, including Ashok Basawapatna, Andri Ioannidou, and David Webb. His work has been supported by multiple NSF grants focused on broadening participation in computing and developing scalable approaches to computer science education. He leads the Scalable Game Design project which has created a comprehensive ecosystem for teaching computational thinking through game design. His laboratory focuses on developing and evaluating visual programming environments, with particular attention to how students engage with computational concepts through game design activities. The team has developed sophisticated analytics to measure computational thinking patterns in student projects, enabling formative assessment in programming education.