جستجوی استاد راهنمای دانشگاهی

• Business Processes
• Blockchain Technology
• Semantic Technologies
• +۵ مورد دیگر

Assoc. Prof. Julius Köpke is an Associate Professor at the University of Klagenfurt's Department of Informatics Systems. His research focuses on business processes, blockchain technology, and semantic interoperability, with particular emphasis on smart contracts, artifact-centric processes, and interorganizational systems. He is affiliated with the Information and Communication Systems research group and contributes to the Institute for Computer Science Systems. Research Interests: - Interorganizational business processes with a focus on blockchain and smart contracts - Application of semantic technologies for data interoperability - Artifact-centric process modeling and data provenance Key Contributions: - Developed SecBPMN2BC framework for secure blockchain-based process modeling - Authored methods for aligning global and local processes, optimizing data-flow implementations - Pioneered lightweight XML-Schema annotation techniques for data translation Recent Work: - Explored LLM-based conversational process modeling tools - Investigated blockchain channel storage for business process data - Published extensively on time-aware processes and temporal constraints Labs/Teams: - Member of the Information and Communication Systems team - Active contributor to the Department of Informatics Systems' research initiatives

• Human-Computer Interaction
• Gesture Recognition
• Child-Computer Interaction
• +۵ مورد دیگر

Lisa Anthony is a Professor affiliated with the University of Florida, specializing in Human-Computer Interaction (HCI) with a strong focus on gesture recognition, touchscreen interfaces, and child-computer interaction. Her research emphasizes the design of user-centered technologies for diverse populations, including children, older adults, and individuals with disabilities. Key contributions include studies on children's touchscreen interaction patterns, multimodal authentication systems, and mHealth applications for behavior change. Her work spans over two decades, with publications in top-tier venues such as CHI, ICMI, and IEEE Transactions. Notable projects include the MTAGIC initiative exploring child motion characteristics, the design of MyTrack+ for weight management, and studies on spherical interfaces. She collaborates extensively with researchers in computer science, education, and healthcare to address real-world challenges in technology accessibility and usability. Lisa's research has implications for improving educational tools, healthcare apps, and collaborative learning environments. While no grants or awards are explicitly listed, her prolific publication record underscores her sustained contributions to HCI and related fields.

• Internet of Things
• Smart Homes / Building Automation
• Embedded Systems
• +۵ مورد دیگر

Aliaksei Andrushevich is a Senior Research Associate at the Institute of Electrical Engineering IET iHomeLab within the Lucerne School of Engineering and Architecture (HSLU T&A). He holds a PhD in Information Technologies (2021–2024) and has extensive experience in IoT, smart homes, and embedded systems. He has served as a guest lecturer at the Hogeschool van Amsterdam (2015–2018) and contributed to academic memberships including IEEE and AAATE. Education highlights include an MSc in Embedded Systems from the University of Lugano (2005–2007) and a Dipl.-Math from Belarusian State University (2001–2006). His research focuses on IoT security, ambient assisted living (AAL), energy-efficient systems, and smart city technologies. Notable projects include AgeWell Companion, WorkLifeCabin, and FEEB&D (Future Energy Efficient Buildings). His recent publications emphasize edge computing for public building monitoring, conversational AI in elderly care, and semantic IoT frameworks. Awards include the Young Researcher Award (2014) and SenZations Prize (2013). He actively collaborates on projects like RecoveryFun (mental health monitoring) and Ella4Life (AAL solutions), leveraging interdisciplinary approaches to improve quality of life through technology.

• Software Engineering
• Software Defect Prediction
• Machine Learning for Software Engineering
• +۷ مورد دیگر

Akito Monden is a prolific Japanese software-engineering scholar with 171 publications recorded in dblp during 1995-2025. His recent work centres on defect prediction, online learning, bandit-based tool selection, and empirical studies of software quality and human factors. Research interests span software defect prediction, mining software repositories, effort estimation, clone detection, code generation, and the application of machine-learning techniques (notably bandit algorithms and ensemble methods) to practical software-engineering tasks. He also investigates requirements ambiguity, security-bug identification with large language models, and gaze-based human-computer interaction in programming education. Across 2022-25 articles Monden explores online learning to cope with concept drift in defect datasets, multi-armed bandit algorithms for dynamic selection of clone detectors, fault-localisation techniques and code generators, and LLM-based security-bug detection. These themes reflect a sustained focus on data-driven, adaptive approaches that improve software quality assurance processes.

Peter Dawyndtمشاهده پروفایل

استاد

• Computational Biology
• Bioinformatics
• Computer Science
• +۷ مورد دیگر

Peter Dawyndt is a Professor in the Department of Applied Mathematics, Computer Science and Statistics at Ghent University's Faculty of Sciences, where he heads the Computational Biology Lab. His research bridges computer science and life sciences through interdisciplinary work on computational applications for (meta)genomics, (meta)proteomics, and educational data mining. The lab actively develops the Unipept platform for metaproteomics biodiversity analysis and the Dodona platform for programming education, demonstrating dual expertise in biological data science and educational technology. His research interests encompass computational biology, bioinformatics, and educational data mining with specific focus on metagenomics, metaproteomics, metatranscriptomics, and data visualization for life sciences applications, alongside learning analytics and educational technology for computer science education. The Unipept platform enables taxonomic analysis of metaproteome samples through tryptic peptide biomarkers, while the Dodona ecosystem includes tools like Dolos for plagiarism detection and Blink for Scratch debugging, all supporting active learning in coding education. Analysis of his 2023-2025 publications reveals two equally prominent research thrusts: advancement of bioinformatics tools (e.g., Unipept's expansion to non-tryptic peptides and metabolic pathway visualization) and innovation in educational technology (e.g., LLM applications for CS1 education and automated code review systems). This dual trajectory highlights his commitment to both fundamental biological discovery and transformative educational practices in computing. No scientific awards were documented in the provided source materials. While specific student advising details and grant information were not explicitly stated, his leadership of the Computational Biology Lab and extensive publication record suggest active mentorship of graduate students and researchers in developing computational tools for biological and educational applications. The Computational Biology Lab operates as an integrated team developing the Unipept and Dodona platform ecosystems. Current projects include enhancing metaproteomics analysis capabilities through missed cleavage support and expanding educational tools for plagiarism detection and virtual co-teaching, reflecting the lab's commitment to open-source software development at the computer science-life sciences education interface.

Saman Zonouzمشاهده پروفایل

دانشیار

• Cyber-Physical Systems Security
• Critical Infrastructure Protection
• Embedded Systems Security
• +۷ مورد دیگر

Saman Zonouz is an Associate Professor at Georgia Institute of Technology with joint appointments in the School of Electrical and Computer Engineering and the School of Cybersecurity and Privacy. He joined Georgia Tech in 2022 after prior roles at Rutgers University and the University of Miami. His research focuses on cybersecurity and privacy in cyber-physical systems, particularly critical infrastructures such as power grids and industrial control systems. Zonouz holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (2011) and a B.Sc. from Sharif Institute of Technology (2006). His work bridges theoretical computer science with practical engineering challenges, emphasizing resilience, attack detection, and physical-layer security. His research interests include attack detection in cyber-physical systems, embedded systems security, side-channel attacks, and resilient distributed control strategies. Recent trends in his publications highlight advancements in hardware implant detection, stealthy supply chain attacks, and cross-domain resilience frameworks for modern power systems. Zonouz has received prestigious awards including the Presidential Early Career Award for Scientists and Engineers (PECASE), NSF CAREER Award, and NSA Significant Research Recognition. His work often involves collaborations with industry and government agencies to address real-world cybersecurity challenges. He has led projects funded by NSF, AFOSR, and Google, focusing on topics like trustworthy additive manufacturing, privacy-preserving IoT systems, and cyber-informed engineering education. His lab develops tools such as OpenConduit for power system simulation and Guide-Guard for bioengineering applications.

• Software Engineering
• Formal Methods
• Automatic Test Generation
• +۵ مورد دیگر

Prof. Maria Christakis is a full professor at TU Wien's Faculty of Informatics, leading the Rigorous Software Engineering Group and the Software Engineering Research Unit. Her research focuses on developing reliable software tools and improving developer productivity through formal methods, automatic test generation, and program analysis. She holds a PhD from ETH Zurich and a diploma from the National Technical University of Athens. Her work bridges verification and systematic testing, with notable contributions to fuzzing, static analysis, and neural network certification. Key projects include tools like Harvey (smart contract fuzzer), DeepSearch (neural network attack framework), and Nomos (specification language for machine learning models). Her research has received awards including the Best Presentation Award at FSE'20 and a Distinguished Paper Award at ICSE'16. She advises multiple PhD and master's students and teaches courses in advanced software engineering and formal methods. Current projects explore green fuzzer benchmarking, compositional smart contract verification, and testing code translation models. Grants: Austrian Science Fund (FWF) doctoral school on Automated Reasoning Labs/Teams: Rigorous Software Engineering Group, Software Engineering Research Unit

Hind Zantoutمشاهده پروفایل

استاد

• Cybersecurity
• Healthcare Technology
• Computer Science Education
• +۴ مورد دیگر

Hind Zantout is a Professor at Heriot-Watt University, serving as Deputy Academic Head of the School of Mathematical and Computer Sciences (Dubai) and Deputy Head of Computer Science. She leads the MSc Data Science program in Dubai and chairs key conferences like the International Conference on Applied CyberSecurity (2023). Her roles include membership in the University’s Studies Committee and external engagements such as Regional Ambassador for Women in Data Science (WiDS) and organizer of Lean and Agile ME Dubai. Her research bridges computing with societal impacts, focusing on cybersecurity, healthcare technology, and AI in education. She has supervised the first two Dubai-based PhD graduates in cybersecurity and currently guides students in healthcare tech and LLM applications. Her work aligns with UN SDGs, emphasizing innovation in education and healthcare. Education Background: Multi-cultural academic journey across British, German, Lebanese, American, and Australian institutions. Key Roles: Conference chair, reviewer for journals like 'Learning and Teaching in Higher Education: Gulf Perspectives', and PC member for multiple BCS ICT conferences. Her publications span malware detection tools, medical imaging AI, and LLMs in education. Awards include the 2017/18 Teaching Excellence Award and a 2025 Best Paper Award for capsule network research. She advocates for women in tech through initiatives like Technovation and WiDS, and her labs focus on interdisciplinary projects like smart healthcare systems and LLM-driven feedback tools.

• Cybersecurity
• Privacy
• Data management
• +۴ مورد دیگر

Dr. Wanlun Ma is a Postdoctoral Research Fellow at the School of Science, Computing and Emerging Technologies , Swinburne University of Technology . He earned a Bachelor's and Master's in Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC) in 2017 and 2020, respectively, followed by a Ph.D. in Computer Science from Swinburne University of Technology in 2024. His research focuses on Trustworthy and Responsible AI , particularly in adversarial machine learning, network security, and privacy preservation. Education B.E., M.E. in Information and Communication Engineering, UESTC (2017, 2020) Ph.D. in Computer Science, Swinburne University of Technology (2024) Research Interests Trustworthy AI systems Adversarial machine learning Network security and privacy AI ethics and accountability Grants Australian Research Council (ARC) grant (2025-2029) for AI Models for Digital Manufacturing Supervision Available to supervise Ph.D. candidates

Elena Kakoulliمشاهده پروفایل

مدرس

• Computer Architecture
• On-Chip Interconnection Networks
• Photonics
• +۵ مورد دیگر

Dr. Elena Kakoulli is a Lecturer in Information Systems and Coordinator of the MSc in Information Systems and Digital Innovation at the University of Nicosia. She holds a Ph.D. in Computer Engineering from Cyprus University of Technology (2015), following a Master’s in Computer Science (2009) and B.Sc. (2007) from the University of Cyprus. Her research focuses on computer architecture, photonics-based interconnection networks, cybersecurity, and AI-driven educational technologies. Notable contributions include work on resilient NoC architectures, distributed storage systems (OctopusFS), and silicon photonics integration for high-performance computing. Dr. Kakoulli’s research interests span network-on-chip (NoC) design, IoT security, and adaptive learning frameworks. She has collaborated on projects such as distributed tiered storage for cluster computing with Dr. Herodotou. Recognitions include awards from the University of Cyprus and Marfin Laiki Bank Foundation for academic excellence during her postgraduate studies. She has also contributed to teaching roles as a Teaching Assistant at the University of Cyprus and lecturer at Ctl Eurocollege, covering courses like computer architecture, compilers, and operating systems. Her publications highlight advancements in cybersecurity models, AI-integrated education tools, and next-generation computing architectures. She actively participates in academic conferences, including the 21st European, Mediterranean, and Middle Eastern Conference on Information Systems (EMCIS 2024), and has served as a Technical Program Committee member.

Kayvan Karimمشاهده پروفایل

استادیار

• Natural Language Processing
• Large Language Models
• Network Security
• +۷ مورد دیگر

Kayvan Karim is an Assistant Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University, Dubai. He serves as Program Director for the MSc Software Engineering and MSc IT Software Systems programs, combining over two decades of industry experience in software engineering and architecture with academic leadership. His research centers on Natural Language Processing (NLP) , Large Language Models (LLMs) , and their applications in network security , software engineering , and sustainable technology . He explores innovative intersections of AI with usability testing, music generation, fashion design, and no-code platforms, contributing to broader goals in artificial intelligence and sustainable development. The recent publications highlight a strong trend in applied AI , focusing on automated systems , multi-agent frameworks , and domain-specific fine-tuning of generative models. These works span human-computer interaction, cinematic AI, sustainable production, and enterprise solutions, demonstrating a versatile and impactful research agenda. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Kayvan Karim supervises research projects, as evidenced by co-authored papers with junior researchers and students such as Tahir Kadegaonkar, M. Sartaee, Ilham Ghori, and others. While formal advising roles or grant funding details are not explicitly stated, his leadership in research output and program direction suggests active mentorship and potential grant involvement. Labs and Research Teams: Though no specific lab or team name is mentioned, Kayvan Karim is actively involved in a collaborative research network focusing on AI applications, as reflected in co-authored works and interdisciplinary projects. His contributions align with AI innovation hubs at Heriot-Watt University, particularly in Dubai, where applied research in software systems and intelligent technologies is emphasized.

• Intelligent Transport Systems (ITS)
• Road Safety
• Human Factors Engineering
• +۴ مورد دیگر

Professor Andry Rakotonirainy is a renowned expert in road safety and Intelligent Transport Systems (ITS) at QUT's Faculty of Health, School of Psychology & Counselling. He holds a PhD in Computer Science from Sorbonne University and INRIA, France. His research focuses on human factors in ITS, leveraging computer science, engineering, and psychology to improve road safety. He leads the ITS human factors program at CARRS-Q and the Centre for Future Mobility, with over $76M in research grants. Key roles include ARC College of Experts membership and EU project advisory roles. Research Interests: Connected and Automated Vehicles (CAVs) Eco-safe driving systems Human-Machine Interaction Driver Behavior Analysis Transportation Policy Projects: EU-funded LEVITATE (€6.4M) studying societal impacts of CAVs Queensland CAVI-iMOVE CRC initiative ARC grants on AI explainability and AV safety Achievements: Over 300 publications, h-index 45, and 14 ARC grants. Established ICCAM with Université Gustave Eiffel. Advising & Grants: Supervised 6 doctoral and 2 master's students. Active in government/industry committees and grant reviews. Labs/Teams: CARRS-Q, Centre for Future Mobility, and ICCAM collaboration.

• Computer Vision
• Machine Learning
• Large-scale Image Retrieval
• +۵ مورد دیگر

Dr. Osman Tursun is a Postdoctoral Research Fellow in Computer Vision and Machine Learning at QUT’s School of Electrical Engineering & Robotics, affiliated with the Signal Processing, Artificial Intelligence and Vision Technologies (SAIVT) research group. He holds a PhD in Computer Vision from QUT. His research focuses on large-scale image retrieval, semantic segmentation, natural language processing, and machine vision applications in mining through collaboration with Orica Digital Solutions. Education: PhD in Computer Vision (QUT). Advanced Queensland Industry Research Fellow (2023) with a $240k grant for AI-driven mining software development. Current projects include real-time fragmentation analysis and ore intelligence systems. Research interests emphasize cross-domain applications of AI, particularly in trademark retrieval, scene text editing, and explainable AI via heatmap analysis. His work bridges computer vision with natural language processing, as seen in projects like TUMLU (Turkic Language Benchmark) and PDV (Prompt Directional Vectors). Publications span image retrieval (zero-shot, sketch-based), deep learning techniques (MTRNet++, attention mechanisms), and benchmark datasets (METU). His recent work explores explainability in neural networks using heatmaps and LLMs. Awards include the 2023 Advanced Queensland Fellowship. Active in supervising postgraduate research students in AI, computer vision, and machine learning.

David Cuttingمشاهده پروفایل

دانشیار

• Software Engineering
• Legacy Systems
• Computing Education
• +۳ مورد دیگر

Dr. David Cutting is a Reader (Education) / Associate Professor at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science. He holds a PhD from the University of East Anglia and is a National Teaching Fellow (2024), Eaton Fellow, and Senior Fellow of the Higher Education Academy. His research focuses on software engineering (legacy systems, mining repositories) and computing education (project-based learning, VR/AR integration). Teaching roles include modules on Cloud Computing, Parallel/Distributed Systems, and Systems Administration. Key achievements include developing tools for authentic educational experiences, early academic success prediction systems, and bridging industry-academia gaps. Awards span teaching excellence, innovation, and support, with external roles as an examiner and governor of South West College since 2023.

Zachary Tatlockمشاهده پروفایل

دانشیار

• Programming Languages
• Formal Verification
• Compiler Design
• +۴ مورد دیگر

Zachary Tatlock is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering , University of Washington , with a focus on Programming Languages . His research spans formal verification , compiler design , floating-point accuracy , and machine learning frameworks , unified by themes of making tricky code easier to write and ensuring correctness through rigorous proofs and empirical systems. His recent work includes unifying Datalog and equality saturation (PLDI 2023), exploring LLM-driven document markup (Programming with AI 2024), and advancing floating-point error analysis via interactive tools like Odyssey (UIST 2023). He leads the UW PLSE research group and co-organizes events like EGRAPHS and FPTalks . Key collaborations include verifying distributed systems in CakeML (ECOOP 2022) and developing egglog , an e-graph library with relational extensions (PLDI 2023). His teaching includes Solver-Aided Programming (CSE 507) and Grad PL (CSE 505), emphasizing both Greek (formalism) and graphs (empiricism) .