Find Academic Supervisors

• Compilers
• Computer Architecture
• High-Level Synthesis
• +6 more

Scott Mahlke is a Professor and Associate Chair in the Electrical Engineering and Computer Science Department at the University of Michigan. He is affiliated with both the Advanced Computer Architecture Laboratory and the Software Systems Laboratory. He joined the University of Michigan in 2001 after receiving his Ph.D. from the University of Illinois and working at HP Laboratories for six years. Dr. Mahlke received his Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign in January 1997, with Wen-mei Hwu as his advisor. His thesis title was "Exploiting Instruction-level Parallelism in the Presence of Conditional Branches." He also holds an M.S. (1992) and B.S. (1988) in Electrical and Computer Engineering from the University of Illinois. Professor Mahlke's research focuses on compilers, computer architecture, and high-level synthesis. His work centers on designing next-generation computer systems that overcome challenges in performance, power consumption, and reliability. His research group, Compilers Creating Custom Processors (CCCP), designs customized processors and accelerators by customizing hardware to the software that will run on the system. His publications demonstrate significant contributions to compiler technology, instruction-level parallelism, predicated execution, and custom processor design, spanning from fundamental compiler optimizations to practical applications in embedded systems and high-performance computing. Professor Mahlke has received numerous awards including: National Science Foundation CAREER Award (2003) Morris Wellman Faculty Development Assistant Professorship (2004) ISCA Most Influential Paper Award (2006) 2007 Young Alumni Award from the ECE Department at the University of Illinois Multiple best paper awards at MICRO, SAMOS, and CASES conferences He has advised several PhD students to completion and his research group receives funding from the National Science Foundation, Gigascale Systems Research Center, ARM Ltd., Motorola, and Samsung Advanced Institute of Technology. Professor Mahlke has been actively involved in the computer architecture and compiler research communities, serving on program committees for major conferences including ISCA, MICRO, HPCA, PLDI, and CGO, and holding editorial positions for ACM Transactions on Architecture and Code Optimization and the Journal of Instruction Level Parallelism.

• Network-on-Chip (NoC)
• Embedded Systems
• Fault Tolerant Design
• +4 more

Martin Radetzki is a full Professor at the Institute for Computer Architecture and Parallel Systems (University of Stuttgart) , specializing in Embedded Systems . His work focuses on network-on-chip (NoC) design, fault tolerance, memory optimization, and simulation frameworks. Key research areas: NoC synthesis, deadlock-free routing, performability analysis, and power-efficient memory subsystems Recent publications emphasize integer linear programming frameworks for co-designing floorplanning and routing, chiplet-based systems , and machine learning-enabled performance evaluation His methodologies address cross-layer challenges in NoC design, combining formal optimization with practical implementation for heterogeneous processing elements. Collaborative projects include fault resilience analysis, parallel simulation techniques, and memory allocation strategies for SoCs. Dr. Radetzki supervises research with students like Shuang Liu and Manuel Strobel , contributing to IEEE Transactions on Computers , ACM TECS , and conferences such as DATE and MCSoC . Current work explores optimal routing topologies for emerging chip architectures.

Eddie KohlerView profile

Professor

• Computer Science
• Systems
• Networks
• +5 more

Eddie Kohler is the Microsoft Professor of Computer Science at Harvard University's Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), where he also serves as Director of Undergraduate Studies in Computer Science. His research focuses on high-performance systems, networks, and databases with an emphasis on concurrency control, data privacy, and scalable software design for multicore processors. He has contributed to foundational work in transactional systems, web application backends (e.g., Noria), and privacy-preserving technologies (e.g., Edna). His research spans theoretical frameworks like the Scalable Commutativity Rule and practical implementations such as the Alto lightweight virtualization system. Kohler's work often bridges theory and practice, addressing challenges in distributed systems, sensor networks, and regulatory compliance (e.g., GDPR). Notable contributions include innovations in in-memory database concurrency, optimistic transaction processing, and network congestion control protocols (e.g., TFRC-SP). His projects frequently emphasize system correctness through formal verification and empirical evaluation. His articles reflect a trajectory from foundational concurrency research to applied systems engineering, with recent focus on privacy in web applications and optimizing modern multicore architectures. No specific grants or advisees are listed in the provided information. Kohler leads research initiatives in scalable systems and maintains active collaboration with industry through his academic leadership roles.

Colin MacCreeryView profile

Lecturer

• Embedded Programming
• Programming Language Design
• Web Frameworks
• +2 more

Colin MacCreery is a Faculty Specialist II (academic rank: Lecturer) in the Department of Computer Science at Western Michigan University. His office is located at Parkview Campus B-257, and his mailing address is Department of Computer Science, Western Michigan University, 1903 W Michigan Ave, Kalamazoo MI 49008-5466 USA. He completed his Master of Science in Computer Science at Western Michigan University in 2017. Research and Teaching Interests: Colin's expertise spans embedded systems, programming language theory, and web technologies. His primary interests include developing embedded programming solutions, designing new programming languages, exploring modern web frameworks, and building scalable server backend applications. He maintains active engagement with emerging programming paradigms and tools. Awards and Honors: Outstanding Service Award from WMU's Computer Science Department (2017) Graduate Teaching Effectiveness Award (2016-2017 academic year) Additional Contributions: As a lifetime member of WMU's Computer Club, he served two terms as Vice President. He significantly redesigned the CS2230 curriculum under Dr. Robert Trenary's guidance, adapting it for contemporary microcontroller architectures.

• Cloud Computing
• Serverless Computing
• Distributed Systems
• +5 more

Ass.-Prof. Dr. Sashko Ristov is an Assistant Professor at the Department of Computer Science, University of Innsbruck. His research focuses on serverless computing, distributed systems, and workflow orchestration, with applications in cloud computing, healthcare informatics, and high-performance computing. He leads research on federated serverless infrastructures, resilient function choreographies, and digital twins in construction engineering. His work addresses challenges in cross-cloud resource management, workflow scheduling, and anomaly detection in microservices. Recent contributions include frameworks like StoreLess for federated storage orchestration and CODE for cross-platform serverless deployment. Research trends in his publications emphasize bi-objective optimization for batch workflows, GPU-accelerated document processing, and disaster-resilient cloud systems. He actively participates in workflows community summits to advance scientific workflow standards and interoperability. Dr. Ristov has collaborated on projects like the Montage workflow analysis and ECG monitoring systems using serverless architectures. His work bridges theoretical computing models with practical implementations in healthcare and civil engineering domains.

• Web Applications
• Software Engineering
• Programming Education

Hazel Campbell is an Assistant Lecturer in Computing Science at the University of Alberta's Faculty of Science. She teaches courses on web applications, architecture, and programming fundamentals. Her educational focus includes software engineering best practices and modern development frameworks. Courses taught: CMPUT 404A/B: Web Applications and Architecture

Martin VechevView profile

Professor

• Artificial Intelligence
• Programming Languages
• Cybersecurity
• +7 more

Martin Vechev is a Full Professor of Computer Science at ETH Zurich, leading the Secure, Reliable, and Intelligent Systems Lab. He is also the Founder and Architect of INSAIT, a pioneering research center in computer science and AI in Eastern Europe. Previously, he worked at IBM T.J. Watson Research Center and earned his PhD from the University of Cambridge and B.Sc. from Simon Fraser University. His research focuses on AI and programming languages, with contributions to quantum programming (e.g., Silq), AI-driven code analysis (DeepCode), and security for decentralized systems (ChainSecurity). He has co-founded three deep-tech startups and received numerous awards, including the ACM SIGPLAN Robin Milner Award. His work spans theoretical foundations and practical systems, emphasizing formal methods and security guarantees. Education: PhD in Computer Science, University of Cambridge (2003-2008) B.Sc. in Computer Science, Simon Fraser University (1996-2001) Research Interests: His work bridges AI and programming languages, addressing challenges in secure AI, quantum computing, and automated reasoning. Key areas include: AI for code analysis and security Formal verification of decentralized systems Quantum programming languages Data privacy and adversarial machine learning Key Contributions: His group built widely used systems like Silq (first high-level quantum language) and developed AI-driven tools for detecting security vulnerabilities (DeepCode). His research on watermarking and federated learning privacy has been influential in both academia and industry. Awards: ACM SIGPLAN Robin Milner Young Researcher Award ERC Starting and Consolidator Grants Google/Facebook Faculty Awards IBM Research Excellence Awards Advising & Grants: He leads the SRI Lab at ETH, supervises PhD students in AI and programming languages, and manages grants from ERC, industry partners, and Swiss national initiatives. His startups (DeepCode, ChainSecurity, LatticeFlow) address real-world challenges in AI security, blockchain, and robust machine learning. Labs & Teams: The Secure, Reliable, and Intelligent Systems (SRI) Lab at ETH Zurich focuses on safe AI, programming languages, and security. Collaborations include INSAIT, a joint venture with ETH and EPFL.

• Science and Technology Studies
• Digital Humanities
• Critical Data Studies
• +5 more

Semion Sidorenko is a PhD student and academic assistant at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Laboratory for the History of Science and Technology (LHST) in the Department of Humanities and Social Sciences within the College of Humanities. He holds a Master of Science in Computer Science from EPFL and a Bachelor of Arts in Social Sciences from the University of Lausanne (UNIL). His research lies at the intersection of science and technology studies, digital humanities, and critical data studies. Trained as a machine learning and data engineer, he now conducts ethnographic studies on digital data practices within public administrations, exploring how data systems are designed, implemented, and governed in governmental contexts. Semion has contributed to teaching as a teaching assistant for the Critical Data Studies course and has professional experience as a Lead Data Engineer at Le Temps, a project manager for the Vaud canton’s COVID-19 contact tracing system, and as an independent consultant in data science and backend development. His interdisciplinary background enables a unique socio-technical perspective on digital transformation in public institutions. He is actively engaged in academic and cultural initiatives, including co-founding Radio 40, performing as a DJ/producer, and participating in digital culture collectives. His work reflects a strong commitment to critically examining the societal implications of data and technology.

Marten TeitsmaView profile

Lecturer

• Quantum Computing
• Ontology
• Situation Awareness
• +5 more

Marten Teitsma is a Lecturer and Researcher specializing in Applied Quantum Computing. He is affiliated with CREATE-IT Applied Research. His work bridges quantum technology with practical applications in infrastructure detection, bookkeeping systems, and crisis situation awareness. Active in research areas: Quantum Computing, Ontology, Bookkeeping, Crisis Management, and Database Systems. Notable contributions include quantum sensing technologies (2025), a bookkeeping application for ALICE (2020), and a situation-awareness question generator for crisis scenarios (2014). He has participated in educational initiatives like the European Quantum Technology Summer School (2024) and organized workshops on quantum computing. His research outputs emphasize interdisciplinary applications of quantum technology and computational modeling.

Corrado GioanniniView profile

Researcher

• Computational Epidemiology
• Epidemic Modeling
• Complex Networks
• +4 more

Corrado Gioannini is a Senior Research Scientist at ISI Foundation in Turin, Italy, specializing in computational epidemiology and epidemic forecasting systems. With a physics background, he bridges theoretical modeling and public health applications through software development. His research focuses on computational epidemiology , complex networks , and data-driven forecasting . Key interests include global disease spread modeling, real-time surveillance systems, and visualization tools for public health decision-making. He designs software frameworks like GLEAMviz to translate complex epidemic dynamics into actionable insights for researchers and policymakers. Gioannini's publication record (2010-2025) shows consistent contributions to epidemic modeling, particularly in influenza and COVID-19. His work combines mobility data, network science, and computational tools to analyze intervention strategies, with high-impact publications in Nature and Science demonstrating practical applications for pandemic response. He secures significant funding through EU projects including STAMINA, Epydemix, Influcast, and RespiCast. These initiatives develop open-source forecasting systems for respiratory diseases and pandemic management, emphasizing technical coordination across national and European health agencies. Gioannini leads the GLEAM Project team responsible for the GLEAMviz simulator, an open platform used globally for epidemic scenario testing. His work prioritizes practical software solutions that enable real-time modeling of disease spread through intuitive interfaces and robust computational backends.

Wolfram WingerathView profile

Researcher

• Real-Time Databases
• Stream Processing
• NoSQL Data Stores
• +5 more

Wolfram Wingerath is a Professor for Data Science at the University of Oldenburg (since 2022) and previously served as Head of Data Engineering & Research at Baqend GmbH (2018-2022). He earned his PhD in Computer Science (2019) from the University of Hamburg, focusing on scalable push-based real-time query systems (InvaliDB). His research interests include: Real-time databases and stream processing NoSQL and polystore systems Web performance optimization Probabilistic data management Cloud computing and distributed systems Key publication trends show expertise in real-time data architectures, caching mechanisms, and performance engineering. Notable collaborations include Benjamin Wollmer and Felix Gessert . He has advised 49+ student theses and served on PC committees for ICDE, VLDB, and EDBT. His editorial roles include membership on Datenbank-Spektrum and organizing the BTW 2025 Data Science Challenge .

Slaven BrumecView profile

Associate Professor

• Business Process Modeling
• Cloud Computing Economics
• Information Systems Design
• +2 more

Slaven Brumec is an Associate Professor at Algebra University, concurrently serving as a Development Manager and IT/BPM consultant at Koris. He holds a B.Sc. in Computer Science from the Faculty of Electrical Engineering and Computing (Zagreb), and M.Sc./Ph.D. degrees from the Faculty of Organization and Informatics (Varaždin). His expertise includes business process modeling, cloud computing economics, and mobile information systems. Research Focus: Brumec's work centers on optimizing IT infrastructure through: Business process automation and modeling Cost-benefit analysis of cloud computing Design of mobile/web applications Public information system interoperability Publications: His 15+ publications (2004-2019) demonstrate consistent focus on cloud economics, BPM methodologies, and mobile systems, with recent work exploring Angular/Django frameworks for public infrastructure. Industry Projects: Has developed document management systems for Croatian public institutions including healthcare (HZZO), employment services (CES), and maritime transport regulatory frameworks.

Kevin FurjanView profile

Lecturer

• Computer Engineering
• Data Science
• Backend Systems Development
• +4 more

Kevin Furjan serves as a lecturer at Algebra University, bringing substantial industry experience from his concurrent role as Software Development Engineer at Ericsson Nikola Tesla. His expertise bridges academic computer science with practical telecommunications applications. His educational foundation includes a specialist graduate degree in Computer Science with Data Science specialization from University of Algebra. Professional experience encompasses: Backend systems architecture for data-intensive applications Mobile application development lifecycle management Telecommunications network analytics System optimization for carrier-grade infrastructure Kevin actively mentors emerging engineers, connecting academic concepts with real-world industry challenges. His teaching focuses on implementable knowledge in data science and software engineering, drawing directly from current projects at Ericsson Nikola Tesla where he contributes to next-generation telecommunications solutions.

Ozren Tkalčec KrznarićView profile

Senior Lecturer

• Software Engineering
• Web Development
• Backend Systems
• +4 more

Ozren Tkalčec Krznarić is a Senior Lecturer at Algebra University, with a background in Telecommunications and Informatics from the Faculty of Electrical Engineering and Computer Science at the University of Zagreb. Over 20 years of professional experience in the IT industry, he has developed Microsoft .NET business solutions, including notable web-oriented systems like Erecruit (employment management), Teuta (cultural heritage repository), and applications for Croatian Post and energy product management. His expertise extends to backend development for diverse domains such as weather monitoring for meteoropathy, video conferencing, healthcare services, fleet management, and financial reporting. Ozren has also implemented integrations with systems like Siemens HiPath 4000, Croatian Post sorting machines, and Aviva Polyclinic.

• Database Systems
• Cloud Computing
• Data Science
• +2 more

Michael Mior is an Assistant Professor at the Rochester Institute of Technology (RIT) and director of the Data Unity Lab . He holds a PhD from the University of Waterloo's David R. Cheriton School of Computer Science and a Master's degree in database scalability in the cloud from the University of Toronto. Current academic affiliation: Assistant Professor, RIT Computer Science Department Research interests: Database systems, cloud computing, data science, software engineering, and web development Professional experience: Former web developer at Bunch (frontend/backend development, iOS apps) His work focuses on data systems and scalable database solutions, bridging academic research with practical software engineering applications.