Find Academic Supervisors

Florian PeinView profile

Lecturer

• Changepoint Regression
• Anomaly Detection
• Artificial Intelligence
• +4 more

Dr. Florian Pein is a Lecturer in Statistics at the School of Mathematical Sciences, Lancaster University . His research focuses on changepoint regression, anomaly detection, and applied projects linked to artificial intelligence, machine learning, and time series analysis. Current Position : Lecturer in Statistics Institution : Lancaster University School : School of Mathematical Sciences Florian's research addresses foundational challenges in statistical modeling of heterogeneous data, multiscale inference, and computational electrophysiology. His work bridges theoretical statistics with practical applications, particularly in analyzing ion channel recordings and developing open-source software tools like the stepR package. He has published extensively on changepoint detection, non-parametric methods, and noise modeling in time series. Notable trends in his publications include: Integration of changepoint regression with machine learning frameworks Development of robust cross-validation techniques for time series Advancements in multiscale and multiresolution analysis Applications in biophysics, including ion channel recordings and antibiotic resistance studies Focus on high-dimensional and non-parametric statistical methods Creation of computational tools for statistical inference Florian supervises PhD students in changepoint-related research and applies statistical methods to interdisciplinary challenges in data science and biophysics.

Johanna UllrichView profile

Professor

• Network Security
• Critical Infrastructure Security
• IPv6 Security
• +4 more

Johanna Ullrich is a Professor at the University of Vienna's Faculty of Computer Science and a Key Researcher at SBA Research in Vienna. She leads the Research Group Communication Technologies and serves as Head of the Networks and Critical Infrastructures Security Group at SBA Research. Her academic journey includes positions as Principal Investigator & Manager of Third Party Funded Projects at the University of Vienna and Post-Doctoral Researcher at the Christian Doppler Laboratory for Security and Quality Improvement in the Production System Lifecycle. Her educational background includes a PhD sub auspiciis praesidentis in Computer Science from TU Wien (2013-2016), an MSc in Automation Engineering from TU Wien (2010-2013), and a BSc in Electrical Engineering from TU Wien (2007-2010). She also holds a Venia Docendi for Computer Engineering from the University of Vienna. Ullrich's research focuses on the intersection of computer science and classical engineering, with particular emphasis on network security, IPv6 measurement experiments, and critical infrastructure protection. Her groundbreaking work demonstrated vulnerabilities in the IPv6 Privacy Extension that led to modifications in major client operating systems, protecting millions of users. She is renowned for her research on cyber-physical attacks against power grids, showing how coordinated load attacks can destabilize electrical infrastructure. Her work spans both theoretical security frameworks and practical implementations with significant real-world impact. Her publication record reveals a consistent trajectory from fundamental network security research toward increasingly complex interdisciplinary investigations at the boundary of computer science and physical infrastructure. Recent work emphasizes AI/ML applications for network security, power grid resilience, and socio-technical approaches to cybersecurity. Her research demonstrates a progression from protocol-level security (IPv6) to system-level security (cloud, IoT) and now to infrastructure-level security (power grids, critical national infrastructure). 2nd in the Faculty of Computer Science's Best-of-the-Best Ranking 2024 Category Third Party Funding Nomination for the Hedy Lamarr Prize 2019 and 2020 Scholarship of Excellence 2018 Research Prize of the Dr. Maria Schaumayer Foundation 2018 Promotio Sub Auspiciis Praesidentis 2017 Diploma Thesis Award of the City of Vienna 2013 Ullrich actively contributes to the academic community through extensive grant acquisition and service. She has secured numerous research projects including SPyCoDe (Semantic and Cryptographic Foundations of Security and Privacy by Compositional Design), DynAISEC (Adaptive AI/ML for Dynamic Cybersecurity Systems), and Q-Crit (Quantum-Safe Critical Infrastructure for Austria). Her leadership extends to committee roles including Program Committee Member of IEEE Symposium on Security and Privacy (S&P) 2024 and Technical Program Chair of Network Traffic Measurement and Analysis Conference (TMA) 2023. At SBA Research, she leads the Networks and Critical Infrastructures Security Group, which investigates security challenges at the intersection of digital networks and physical infrastructure. The group conducts both theoretical research on security frameworks and practical measurements of real-world systems. Their work combines network measurement techniques with power systems engineering to develop comprehensive security approaches for critical infrastructure.

Jignesh M. PatelView profile

Professor

• Database Systems
• Query Optimization
• Data Analytics
• +3 more

Jignesh M. Patel is a Professor in the Computer Science Department at Carnegie Mellon University, where he leads research on efficient data analysis methods. His work focuses on improving both system efficiency (e.g., high-performance data algorithms) and human efficiency (e.g., user productivity with data systems). Research Focus: Patel's group specializes in database systems, query optimization, hardware acceleration, and human-data interaction. Their interdisciplinary work spans: Transactional processing and real-time analytics Query optimization techniques Hardware-algorithm co-design Natural language interfaces for data systems Memory-efficient data processing Professional Activities: Co-founded four technology companies (Paradise, Locomatix, Quickstep, DataChat). Serves on program committees for premier conferences including SIGMOD and CIDR (as co-chair). Teaches database systems courses at CMU. Awards: Received Best Paper Award at DaMoN 2010 for work on cluster efficiency.

Ana LucicView profile

Assistant Professor

• Interpretable Machine Learning
• Artificial Intelligence
• Earth System Science
• +3 more

Ana Lucic is an Assistant Professor in Artificial Intelligence at the University of Amsterdam , with a joint appointment between the Institute for Logic, Language and Computation and the Informatics Institute . Her research focuses on interpretable machine learning applications for scientific discovery and societal impact. Formerly at Microsoft Research AI for Science and Partnership on AI PhD in Explainable Machine Learning from University of Amsterdam (2022) BSc/MSc in Mathematics from McMaster University Research Highlights: Develops mechanistic interpretability methods for deep learning architectures. Created Aurora , a foundation model for Earth system forecasting outperforming traditional operational models in air quality prediction and tropical cyclone tracking. Pioneers Clifford-Steerable CNNs for geophysical data analysis. Actively hiring PhD students for AI transparency research . Collaborative Networks: Contributions to ELLIS Summer School and ICML workshops . Collaborates with Microsoft Research AI for Science team on climate-related ML projects. Involved in organizing TerraBytes workshop at ICML 2025. Recent Advancements: Key role in publishing Aurora model in Nature (2025), demonstrating superior performance in Earth system forecasting. Supervises Ege Erdogan , new PhD student focused on mechanistic interpretability. Actively contributes to open-source AI development through GitHub repositories and technical discussions.

Marcus NorrgårdView profile

Professor

• Intellectual Property Law
• Copyright Law
• Design Law
• +3 more

Marcus Norrgård is a Professor of Law at the University of Helsinki , leading the Vaasa Unit of Legal Studies within the Faculty of Law. His expertise spans intellectual property law , copyright , design law , and the ethical implications of AI and 3D printing on legal frameworks. He actively contributes to Nordic legal research and EU copyright harmonization , with recent projects focusing on AI-generated content and virtue ethics in private law . His 15 most recent articles analyze topics such as Nordic copyright legislation , AI training data protection , and design law harmonization , reflecting his work with foundations like Harry Schaumans Stiftelse and Vaasan Aktiasäätiö . Norrgård serves on doctoral committees and as an opponent in thesis defenses , while advising Finnish parliamentary committees on copyright and telecommunications reforms . He has held leadership roles including Chairman of the Finnish Copyright Council (2008–2020) and Director of the IPR University Center (2018–2021).

Rafael SebastianView profile

Professor

• Cardiac Computational Modeling
• Artificial Intelligence in Medicine
• Medical Imaging
• +4 more

Rafael Sebastian is a Full Professor at Universitat de Valencia and General Director for Science and Research of the Generalitat Valenciana. He leads the Computational Multiscale Simulation Lab (CoMMLab) and collaborates with institutions like Oxford University and Yale University. Department of Computer Science, Universitat de Valencia CoMMLab Founder Spanish Network of Excellence in Cardiac Modeling His research focuses on multi-scale computational models and artificial intelligence for patient-specific cardiac simulations , aiming to improve arrhythmia risk stratification and therapy planning . Key topics include cardiac conduction system modeling , scar-related ventricular tachycardia , and machine learning pipelines for clinical applications. Recent publications emphasize automata-based simulations for atrial arrhythmias, machine learning in arrhythmia localization, and 3D geometric characterization of aortic diseases. Trends show integration of computational modeling with clinical data and medical imaging . Scientific Awards: Best Poster Award, Functional Imaging and Modeling of the Heart (2021) Cum Laude Award, SPIE Medical Imaging (2009) Student Presentation Award (2011) He has supervised 7 PhD/Master students and led grants exceeding €1 million, including projects like iSARC-GENETICS and iCardioTwins , focusing on digital twin technology and cardiac disease stratification .

• Accessibility
• Human-Computer Interaction
• Assistive Technologies
• +5 more

Kyle Montague is an Associate Professor in the School of Computing at Newcastle University, specializing in Human-Computer Interaction with a strong emphasis on accessibility, inclusive design, and community-centered technology development. His research bridges theoretical frameworks with practical applications to create more equitable technology experiences for marginalized communities. Montague completed his PhD at the University of Dundee in 2013 with research on 'SUM: an exploration of Shared User Models and interface adaptations to improve accessibility of mobile touchscreen interactions.' His academic trajectory shows a clear evolution from foundational work on accessibility technologies to more recent explorations of feminist ethics in community-based design. His research interests span multiple critical areas in contemporary HCI: developing accessible mobile interfaces for blind and visually impaired users, creating tools for citizen-led personalization of user interfaces, exploring digital civics and community engagement through technology, and investigating ethical frameworks for community-led design. Montague's work consistently emphasizes participatory approaches, centering marginalized communities in the design process to create technologies that truly serve their needs. An analysis of his recent publications reveals an evolving research trajectory from technical accessibility solutions toward more socially conscious design frameworks. While early work focused on practical accessibility tools (like non-visual text entry methods), his recent research engages with feminist care ethics, digital citizenship, and community-led technology development. This evolution reflects a growing emphasis on ethical considerations and social justice in HCI research, with increasing attention to AI's role in community engagement and ethical design practices. Montague has established significant collaborations with researchers across institutions, particularly with Hugo Nicolau, Tiago João Vieira Guerreiro, and Reem Talhouk. His work appears consistently in top-tier venues including CHI, ASSETS, and CSCW, demonstrating recognition by the HCI community for both technical innovation and socially impactful research. His lab at Newcastle University focuses on developing practical tools for community engagement while advancing theoretical frameworks for ethical technology design. Current projects include AI-generated tools for academic conferences, frameworks for feminist community-led ethics, and platforms for citizen-led interface personalization, all reflecting his commitment to democratizing technology development and ensuring it serves diverse community needs.

Daphne YaoView profile

Professor

• Cybersecurity
• Program Analysis
• Machine Learning Algorithms
• +3 more

Daphne Yao is a Professor in the Department of Computer Science at Virginia Tech , part of the College of Engineering. She holds the Elizabeth and James E. Turner Jr. '56 Faculty Fellowship and CACI Faculty Fellowship. Her research focuses on cybersecurity, program analysis, machine learning algorithms, and applied cryptography. Yao has contributed to advancing secure coding practices, vulnerability detection in software, and privacy-preserving technologies. Education includes a Ph.D. in Computer Science from Brown University (2007), an M.S. in Computer Science from Indiana University (2002), and earlier degrees in Chemistry from Princeton University (M.A., 2000) and Peking University (B.S., 1998). Her work bridges theoretical computer science with practical applications, emphasizing real-world cybersecurity challenges. Recent research trends include combating ransomware via API profiling, improving privacy in voice assistants, and developing resilient network routing systems. Yao collaborates across disciplines, integrating machine learning into healthcare cybersecurity and epigenomic analysis. Her publications reflect a commitment to measurable, deployable security solutions and ethical AI practices. Key contributions include the CryptoGuard tool for detecting cryptographic vulnerabilities and frameworks like Madeline for low-cost cyber threat monitoring. She has also explored challenges in deploying intrusion detection systems and mitigating data-oriented attacks in cyber-physical systems.

Aline NormoyleView profile

Assistant Professor

• Digital Humans
• Character Animation
• Video Games
• +4 more

Aline Normoyle is an Assistant Professor of Computer Science at Bryn Mawr College, where she leads the MOVR (Motion Capture and Virtual Reality) lab. Her research focuses on character animation, video game design, and analyzing human motion from video. She holds a B.Sc. from McGill University, and a M.Sc. and Ph.D. from the University of Pennsylvania. Prior to academia, she worked as a software engineer for 10 years, specializing in networking, graphics, and behavioral modeling. Her work bridges computational methods with experimental approaches to study non-player characters, avatars, and game mechanics. Normoyle’s contributions include open-source tools for sign language analysis and VR experiments, and she actively collaborates across disciplines including linguistics and psychology. She has been recognized with the Best Student Presentation Award at the 2013 Symposium on Applied Perception. Her teaching spans foundational computer science courses and specialized topics in game programming and animation. Education: B.Sc. in Computer Science, McGill University (1999) M.Sc./Ph.D. in Computer Science, University of Pennsylvania (2015) Research Interests: Procedural character animation and behavior Motion capture and analysis techniques Immersive VR/AR applications Game-based experimental platforms Accessibility in digital human modeling Recent Work Trends: Normoyle’s recent publications explore gesture-based user identification, controller effects in AR games, and the role of hand motions in virtual communication. Her work emphasizes interdisciplinary approaches, combining AI with traditional animation techniques to create more expressive and interactive virtual characters. Awards: Best Student Presentation Award, Symposium on Applied Perception (2013) Advising & Grants: Normoyle advises students in animation, VR, and game design, requiring foundational coursework in computer graphics and systems programming. She has received support for her research through collaborations with institutions like Clemson University and New York University. Labs & Teams: Director of the MOVR lab at Bryn Mawr, focusing on motion capture, VR experiments, and open-source tools for sign language analysis.

Andrei L. BadescuView profile

Professor

• Risk and Ruin Theory
• Matrix Analytic Methods
• Stochastic Claim Reserving
• +6 more

Andrei L. Badescu is a Professor of Actuarial Science and Director of the Master of Financial Insurance in the Department of Statistical Sciences at the University of Toronto. His academic leadership spans editorial roles at Insurance: Mathematics and Economics and program direction for graduate actuarial programs. His educational foundation includes: BSc in Mathematics and Economics from Bucharest University of Economic Studies (1998) MSc in Mathematics and Economics from Bucharest University of Economic Studies (2000) PhD in Actuarial Science from Western University (2004) He completed postdoctoral training at the University of Waterloo (2006) before joining the University of Toronto faculty in 2006. Research interests evolved from foundational work in Risk and Ruin Theory using Matrix Analytic Methods to contemporary applications in Stochastic Claim Reserving, Dependence Modelling, and Predictive Analytics. Current emphases include Telematics risk assessment and Insurance Data Science, leveraging advanced statistical techniques for real-world insurance challenges. Recent publications (2021-2025) reveal a strategic shift toward data-driven insurance solutions. Key trends include micro-level claim reserving via inverse probability weighting, telematics-based driving risk modeling using unsupervised learning, and mixture-of-experts frameworks for portfolio ratemaking. These works bridge traditional actuarial science with machine learning, particularly in handling censored data and operational risk. Professor Badescu mentors five doctoral students (Spark Tseung, Sebastian Calcetero, Ian Weng, Sophia Chan, Hassan Abdelrahman) and two master's students (Kaihua Sun, Yifeng Ge). His administrative leadership includes directing the Master of Financial Insurance program and previously overseeing the Data Science concentration in the Master of Applied Computing. His research group develops practical tools like the LRMoE.jl software package for actuarial loss modeling, while future work targets telematics integration and insurance-specific artificial intelligence applications.

Pierluigi PerriView profile

Professor

• Privacy and Data Protection
• Data Governance
• Information Security
• +4 more

Pierluigi Perri is a Professor of Advanced Computer Law at the University of Milan's Law School and Vice Coordinator of the Information Society Law Center (ISLC). He is also an Affiliate Fellow at Yale Law School and has held roles such as Non-residential Fellow at Stanford Law School’s Center for Internet and Society and Visiting Researcher at Microsoft. His expertise spans privacy law, data governance, cybersecurity, computer crimes, and digital forensics. Perri holds a PhD in Legal Informatics and IT Law from the University of Bologna and a specialization in Legal Informatics and New Technologies Law. Education: PhD in Legal Informatics and IT Law, University of Bologna Specialization in Legal Informatics and New Technologies Law His research focuses on balancing technological advancements with legal safeguards, including data protection compliance, AI ethics, and cybersecurity legislation. Recent work addresses AI-driven hate speech detection, algorithmic transparency, and the ethical use of open-source intelligence (OSINT). Perri has authored two books on data protection and IT law, alongside numerous scientific publications. Perri’s articles analyze legal frameworks for digital crimes, surveillance ethics, and privacy challenges in emerging technologies. His affiliations include leadership roles in interdisciplinary legal-tech initiatives aimed at addressing global cybersecurity and privacy dilemmas. No scientific awards or grants are explicitly mentioned. He is affiliated with the ISLC, fostering collaboration between legal, technical, and policy experts to tackle digital society challenges.

Marinko SarunicView profile

Adjunct Professor

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +2 more

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

• Wireless Communications
• MIMO Systems
• Neuromorphic Computing
• +4 more

Dr. Juan Carlos De Luna Ducoing is a Research Fellow at the University of Surrey, specializing in advanced wireless communication systems with a focus on MIMO (Multiple-Input Multiple-Output) technologies. His work integrates neuromorphic computing, quantum annealing, and non-linear processing to enhance the efficiency and scalability of next-generation wireless networks. Research Interests: MU-MIMO detection and precoding Neuromorphic computing applications Quantum computing in wireless systems 6G network architectures Non-linear signal processing Hardware-software co-design (e.g., SWORD platform) Key Publications: His recent work includes NeuroMIMO (2024), which explores neuromorphic principles for power-efficient MU-MIMO detection, and Scalable MU-MIMO User Scheduling (2023), addressing resource allocation in dense networks. He also contributed to quantum annealing-based detection (2022) and Gyre Precoding (2021), achieving significant SNR gains. Collaborations: Works closely with Konstantinos Nikitopoulos and the SWORD research team to develop open-source platforms for rapid prototyping of advanced communication systems.

Marjan FirouzniaView profile

Researcher

• Medical Imaging
• Machine Learning
• Deep Learning
• +3 more

Marjan Firouznia is a Principal Research Engineer at Linköping University , affiliated with the Division of Diagnostics and Specialist Medicine (DISP) under the Faculty of Medicine and Health Sciences . With a PhD in Electrical Engineering from Amirkabir University of Technology and postdoctoral experience at institutions like Case Western Reserve University, she specializes in advancing machine learning models for precise segmentation of cardiac structures including the left atrium , epicardial fat , and fibrosis using CT and MRI scans. Her work aims to improve diagnostic accuracy and treatment planning in cardiovascular care. Marjan's research focuses on medical imaging , deep learning , and computational anatomy , with recent publications on FractalRG , FK-means , and Poincare-guided UNet for cardiac structure segmentation. Her academic contributions span 15 recent publications , emphasizing fractal geometry , chaos theory , and optimization algorithms in biomedical applications. She actively develops open-source datasets and tools, such as the FK-means codebase , to support reproducibility in medical AI research.

Benjamin C. M. FungView profile

Professor

• Data Mining
• Artificial Intelligence
• Cybersecurity
• +6 more

Benjamin C. M. Fung is a Full Professor at McGill University's School of Information Studies and holds the Canada Research Chair in Data Mining for Cybersecurity. He is also an Associate Member at the School of Computer Science and affiliated with MILA and the McGill Digital Humanities Initiatives. His research focuses on data mining, AI, cybersecurity, privacy protection, and their applications in crime investigation, health informatics, and smart cities. Education: Ph.D. in Computing Science, Simon Fraser University (2007) M.Sc. and B.Sc. in Computing Science, Simon Fraser University Professional Engineer (P.Eng.) in Software Engineering, Ontario Research Interests: Data mining techniques for cybersecurity, AI ethics, privacy-preserving technologies, malware analysis, and foreign interference detection. His work has been supported by NSERC, SSHRC, DRDC, and FRQNT. Key Contributions: Developed the Kam1n0 tool for malware analysis, featured in Montreal's technological innovations. Co-founded the McGill Data Mining and Security (DMaS) Lab. Authored over 180 refereed publications with an h-index of 62. Awards & Recognition: 2022 IEEE CSR Best Research Paper Award ACM & IEEE Senior Member (2013) Top 2% Global Scientists (2021–present) Media & Public Engagement: Frequently comments on cybersecurity, disinformation, and foreign interference for CBC, CBC Radio, OMNI TV, and international outlets. His op-eds address topics like AI ethics and national security.