Find Academic Supervisors

Aleks HučView profile

Assistant Professor

• Machine Learning
• Internet of Things (IoT)
• Computer Security
• +3 more

Aleks Huč is an Assistant Professor at the Faculty of Computer and Information Science, University of Ljubljana. His research focuses on incremental unsupervised learning , particularly anomaly detection in network data streams using incremental clustering. He also explores applications in machine learning , Internet of Things (IoT) , computer security , and data modeling . Current Projects: ARRS research program P2-0359 (Ubiquitous Computing, 2023–2027), CA 22104 (Behavioral Next Generation Wireless Networks for Cybersecurity, 2023–2027). Past Projects: Bilateral project on sulfur compounds in food cold chain (2017–2018), ARRS P2-0359 (2018–2023), and his Young Researcher project (2015–2019). Huč teaches courses such as Digital Forensics , Programming 2 , and Communications Protocols and Network Security . He is a member of the Laboratory of e-media (LEM) . His recent publications highlight trends in edge-computing security , IoT network anomaly transparency , and agricultural sensor applications . These works span subfields like incremental clustering , network security , and precision agriculture . Huč earned his BSc (2012) , MSc (2015) , and PhD (2022) from the University of Ljubljana, focusing on sensor technology, RNA-protein interactions, and computer network security anomalies.

Magnus EsmarkView profile

Associate Professor

• Legal History
• Sociology of Law
• EEA Law
• +3 more

Magnus Esmark is a Postdoctoral Fellow at the University of Oslo's Faculty of Law (2023-2027) and holds a concurrent 20% position as Associate Professor at Inland University College. He is also a Global Research Fellow at iCourts - Centre of Excellence for International Courts at the University of Copenhagen's Faculty of Law. His work bridges legal sociology, legal history, and legal dogmatics with a focus on EU/EEA law reception in national contexts. His educational background includes a cand.jur. (law degree) from the University of Copenhagen (2019) and a PhD in law from the same institution (2022). His doctoral thesis examined how Danish lawyers' understanding of EU law has been shaped by national power struggles between legal professionals rather than EU integration narratives, developing post-Bourdieuian sociology of law in a national context. Esmark's research adopts a conflict-oriented perspective where lawyers' struggles over social status and authority in determining applicable law form the foundation for understanding legal development. His current project explores the conceptual history of the scope of action in Norwegian EEA law. He has organized conferences on EU law history through the Beyond European Legal Integration project and is editing a thematic issue of European Law Open (2025). His publication record reveals consistent focus on the intersection of European law with national legal traditions, particularly examining how domestic legal communities interpret and contest EU/EEA law. His work demonstrates strong methodological diversity, combining historical-sociological analysis with computational approaches to legal research. Teaches JUS3220 Legal History, JUS4122 Sociology of Law, and HUMR5191 Human Rights Methodology Supervises master's theses in legal history, sociology of law, and EU/EEA law Active in UiO research groups: Law, Society and Historical Change; Sociology of Law; Research Group for International Law Affiliated with EURNOR project (The European Dimension of Norwegian Law) Esmark participates in collaborative research extending across Nordic and European institutions, with recent work examining Nordic legal traditions in relation to European law and developing bottom-up perspectives on European legal integration. His scholarship demonstrates the value of examining European law through national historical and sociological lenses rather than solely through EU-centered narratives.

Roland MeyerView profile

Professor

• Digital Humanities
• Visual Studies
• Media Studies
• +4 more

Roland Meyer is a DIZH Bridge Professor for Digital Cultures and the Arts at the University of Zurich and Zurich University of the Arts (ZHdK) since July 2024. His work critically examines contemporary networked image cultures, focusing on algorithmic image processing, forensic practices, synthetic media aesthetics, and virtual image archives in the context of platform capitalism. PhD in Media and Art History (Karlsruhe Academy of Art and Design, 2017) Former research positions at Ruhr University Bochum, Humboldt University Berlin, and BTU Cottbus-Senftenberg His research spans: History of operative images AI-driven image synthesis Surveillance technologies Virtual archival systems Roland's publications and lectures analyze how digital platforms reshape visual epistemology, with recent work on Platform realism Synthetic media economies Forensic image practices DALL-E and Sora AI systems He organizes interdisciplinary symposia like As We May See (UZH) and Images Under Suspicion (Essen), and contributes to debates on AI's political visual implications through interviews with major media outlets.

• Privacy and Data Protection
• Artificial Intelligence and Law
• Law and Technology
• +5 more

Dr. Cristiana Teixeira Santos is an Assistant Professor in Law and Technology at Utrecht University's Faculty of Law, Economics and Governance. She holds an International Chair Starting Career position at INRIA (2023-2026) and collaborates with computer scientists and designers on online privacy issues. Expert, Council of Europe EDPB Support Pool of Experts Co-founder, deceptive.design/cases database Her research focuses on EU data protection laws (GDPR, ePrivacy Directive, DSA, DMA) and digital harms caused by: Dark patterns and manipulative design Online tracking technologies Consent banner compliance Server-side tracking Paywalls Her work has been cited in international policy reports (OECD, European Commission, UK CMA) and received a Best of CHI Honorable Mention (2021). She has contributed to EU regulatory frameworks as a legal expert evaluator and advisor.

Federico Javier HernándezView profile

Lecturer

• Computational Chemistry
• Photochemistry
• Photophysics
• +5 more

Dr. Federico Javier Hernández serves as a Lecturer in Computational Chemistry at the Centre for Chemical Research within the School of Physical and Chemical Sciences at Queen Mary University of London. His expertise centers on computational photochemistry and photophysics, with emphasis on excited-state mechanisms in complex molecular environments including aggregates, organic crystals, and solution-phase systems. Hernández completed his undergraduate studies in Physical Chemistry at the University of Córdoba (UC), Argentina, followed by a hybrid experimental and theoretical-computational PhD in Chemistry jointly awarded by UC and the University of Quilmes under Professors Gustavo Pino and Juliana Palma. His doctoral research investigated photophysical and photochemical processes relevant to Atmospheric Chemistry and Biochemistry. His laboratory focuses on elucidating fundamental mechanisms behind phenomena such as aggregation-induced emission, radiative quenching, singlet fission, ultralong organic phosphorescence, charge/exciton transport, and thermally activated delayed fluorescence. These investigations employ advanced computational methodologies including plane-wave DFT, multiscale electronic structure methods (QM:QM' and QM:MM), nonadiabatic dynamics simulations (surface hopping and Ehrenfest dynamics), and machine learning integration for materials discovery. This work directly supports rational design of functional molecules for optoelectronic applications and energy storage/conversion technologies. Analysis of Hernández's 15 most recent publications (2022-2025) reveals consistent focus on nonadiabatic dynamics in condensed phases, excited-state mechanisms in molecular aggregates, and atmospheric reaction kinetics. Key trends include development of computational benchmarks for photochemical processes, application of machine learning to photodynamics, and investigation of polaritonic effects in vibrational spectroscopy. His work bridges theoretical chemistry with practical materials design for optoelectronics. No major scientific awards or fellowships are documented in the available information. While current PhD advisees are not listed, Hernández maintains an active research group within the Centre for Chemical Research. His collaborative network spans international institutions including University College London, University of Bristol, and University of Santiago de Chile. He contributes to academic instruction through CHE 209 – Introductory Programming for Chemists and leverages his ORCID profile (https://orcid.org/0000-0001-7497-9424) for scholarly identification. His research infrastructure integrates high-performance computing with data science approaches to tackle complex photochemical problems.

• Cognitive Neuroscience
• Experimental Psychology
• Transcranial Magnetic Stimulation
• +4 more

Dr. Jana Klaus is an Assistant Professor in the Department of Experimental Psychology at Utrecht University's Faculty of Social and Behavioural Sciences. Her office is located in the Martinus J. Langeveld Building (Room H048) at Heidelberglaan 1, Utrecht. She specializes in cognitive neuroscience with a focus on cerebellar functions and non-invasive brain stimulation techniques. Her primary research interests include: Cerebellar involvement in emotional processing and aggression Neurostimulation techniques (TMS, tDCS) for cognitive modulation Language production mechanisms and neural networks Neurodevelopmental aspects of verbal abilities in ASD Cerebello-cortical connectivity in motivation and behavior Dr. Klaus's publications demonstrate consistent focus on cerebellar functions, with recent work (2023-2025) examining aggression mechanisms, reversal learning under threat, and neurodevelopmental disorders. Her 2017-2022 research centered on language production, neurostimulation efficacy, and cerebellar mapping. Methodologically, her work combines fMRI, EEG, and brain stimulation techniques across healthy and clinical populations. She maintains active research collaborations through the Chair Schutter Helmholtz Institute Experimental Psychology. Dr. Klaus has presented her work internationally, including an invited 2020 talk on cognitive enhancement via neurostimulation.

• Social Psychology
• Motivational Psychology
• Cognitive Psychology
• +6 more

Sean McCrea is a Professor at the University of Wyoming in the Department of Psychology . His academic positions include Chair & Professor of Social Psychology since 2019, with prior roles as Associate Professor (2013–2019) and Assistant Professor (2009–2013) at the same institution, and as Assistant Professor for Motivational and Social Psychology at the University of Konstanz, Germany (2003–2009). Education: Ph.D. from Indiana University (2002) B.A. from Bucknell University (1996) Research Interests: McCrea’s work explores the interplay of motivational and cognitive processes , focusing on defensive behaviors like self-handicapping and responding to criticism . Additional interests include phases of goal-pursuit , behavior change , and counterfactual thinking . Article Trends: Recent publications emphasize intergroup sensitivity , vaccination compliance , and defensive behaviors , with cross-cultural analyses and applications in health communication and environmental psychology . Keywords frequently include social identity , behavioral consequences , and experimental psychology . Grants: McCrea contributes to collaborative grants like NSF RAISE: IHBEM (2022–present) on behavioral responses to epidemic risks. His leadership extends to grants such as Treatment noncompliance as a form of self-handicapping behavior (University of Wyoming, 2015). Labs & Teams: He leads the Motivation and Cognition Lab , which investigates how motivation and cognition intersect in shaping behavior, particularly defensive strategies in uncertain contexts.

Sima Siami-NaminiView profile

Lecturer

• macroeconomics
• monetary policy
• time series analysis
• +5 more

Sima Siami-Namini serves as a Lecturer at Johns Hopkins University, teaching in the MS in Applied Economics program with extensive experience in undergraduate and graduate instruction across economics, statistics, and finance disciplines. Her academic credentials include advanced interdisciplinary training: PhD in Applied Economics (minor: Statistics), Texas Tech University, 2020 Master's in Statistics, Texas Tech University, 2022 Master's in Artificial Intelligence (Machine Learning focus), University of North Texas, 2023 Her research program integrates macroeconomic theory with cutting-edge computational methods, specializing in monetary policy analysis, time series econometrics, and AI-driven forecasting. She bridges traditional economic modeling with machine learning applications, particularly in anomaly detection, data visualization, and large language model implementations for economic forecasting. Analysis of her publication trajectory (2020-2024) reveals three dominant research streams: (1) deep learning architectures (LSTM, TCN) for time series forecasting and anomaly detection, (2) monetary policy impacts on income inequality using FAVAR/SVECM models, and (3) natural language processing applications for Federal Reserve communication analysis. Her recent work increasingly incorporates large language models for domain-specific economic analysis and code generation. No documented scientific awards or major honors appear in the available records. She mentors students in the Applied Economics program with emphasis on quantitative research methods, though specific grant funding details remain undisclosed. Her teaching methodology incorporates experiential learning techniques adapted from digital forensics education frameworks. No dedicated research laboratories or institutional teams are referenced in the source materials.

Kevin CurranView profile

Professor

• Cyber Security
• Computer Security
• Internet Security
• +6 more

Kevin Curran is a Professor of Cyber Security at Ulster University, serving as Executive Co-Director of the Legal Innovation Centre and group leader for the Cybersecurity & Web technologies Research Group. He joined the School of Computing and Intelligent Systems in 1999 and has established himself as a leading expert in cyber security with over 800 published works. His academic home is within the School of Computing, Engineering and Intelligent Systems at Ulster University's Magee Campus in Derry~Londonderry. Professor Curran's research interests span multiple domains within cyber security, with particular expertise in location positioning within indoor environments, Internet security, and the intersection of legal technology with cybersecurity. His recent work demonstrates a strategic expansion into AI-driven security solutions, blockchain applications, and IoT security frameworks. His research shows a clear evolution from foundational networking research to contemporary applications addressing legal technology challenges and emerging security threats in connected environments. His scholarly output reveals significant trends toward interdisciplinary research, particularly at the intersection of cyber security and legal technology. Recent publications focus on applying machine learning and AI techniques to legal document classification, blockchain security for autonomous vehicles, and generative AI applications in cyber defense. His work consistently addresses practical security challenges while maintaining strong theoretical foundations. Engineering and Technology Board Visiting Lectureship for Exceptional Engineers IEEE Technical Expert for Internet/Security matters since 2008 Member of the EPSRC Peer Review College Recipient of various patents in security technologies Founding Editor in Chief of the International Journal of Ambient Computing and Intelligence Professor Curran has successfully secured and managed numerous UK and European Framework projects and Technology Transfer Schemes throughout his career. He serves as Co-Investigator on several major research projects including the Baker McKenzie Research Project (2017-2026), LFR: Legal Futures Research (2016-2026), and the Ulster Centre for Legal Innovation (2016-2026). His research group actively collaborates with industry partners and legal professionals to address real-world cybersecurity challenges. The Cybersecurity & Web technologies Research Group under his leadership focuses on practical security solutions while maintaining strong theoretical foundations. As Executive Co-Director of the Legal Innovation Centre, Professor Curran bridges the gap between legal practice and technological innovation, particularly in the realm of cybersecurity applications for legal services. His team works on developing secure platforms for legal document processing, blockchain applications for contract management, and AI-driven tools for legal professionals while maintaining rigorous security standards.

• Forensic Science
• Epigenetics
• Genetics
• +3 more

Professor Graham Williams (BSc, MSc, PhD, SFHEA, FCSFS, FRSB) is a Professor of Forensic Science and Programme Director for Forensic Science at the University of Hull since May 2022. Previously served as Head of Department at Staffordshire University (2017-2019) and held academic roles at University of Huddersfield (2007-2017). Key affiliations include Centre for Biomedicine and Chartered Society of Forensic Sciences . Core Research Areas : Forensic Epigenetics, Body Fluid Identification, Bloodstain Pattern Analysis, AI in Forensic Science, Space Forensics Scientific Awards : Fellow of the Royal Society of Biology (2014) Senior Fellow of Advance HE (2017) Fellow of Chartered Society of Forensic Sciences (2018) UKCGE Recognised Research Supervisor (2021) Teaching Leadership : Directs BSc Forensic Science programs and teaches Crime Scene to Court Room modules. Supervises 8 PhD projects exploring: AI-based bloodstain analysis Forensic strategies for sexual assault cases DNA on counterfeit banknotes Microgravity bloodstain dynamics Epigenetic hearing loss research

Justin KarlinView profile

Professor

• Artificial Intelligence in Diagnostics
• Ophthalmic Plastic and Reconstructive Surgery
• Medical Device Design
• +3 more

Justin Karlin is a Professor in the Department of Ophthalmology at the David Geffen School of Medicine, University of California, Los Angeles (UCLA) , specializing in Orbital, Lacrimal, and Oculofacial Plastic Surgery . He completed his ophthalmology residency at the University of Virginia School of Medicine (2015-2018) and the David and Randi Fett Orbital and Ophthalmic Plastic Surgery Fellowship at the UCLA Stein Eye Institute (2020). His clinical practice spans the Doheny Eye Center, UCLA Orange County and UCLA Stein Eye Institute , with hospital affiliations including Ronald Reagan UCLA Medical Center . Education: MD , Sackler School of Medicine, Tel Aviv University (2014) MS , California State University, Northridge (2010) Internship , Surgery, University of Virginia (2015) Ophthalmology Residency , University of Virginia (2018) Orbital Fellowship , UCLA Stein Eye Institute (2020) Research Interests: Dr. Karlin’s work integrates Artificial Intelligence (AI) and Deep Learning to enhance diagnostic accuracy for Orbital Diseases , with a focus on Thyroid Eye Disease (TED) . He pioneers Medical Device Design , including innovations for eyelid reconstruction using Tissue Engineering and Allograft/Xenograft Materials . His studies on Lacrimal System Imaging and Ocular Surface Disease Treatment with Autologous Serum Tears bridge translational research and clinical application. Publications & Awards: With over 15 recent publications (2025-2017), his work spans AI diagnostics, eyelid surgery outcomes, and orbital disease mechanisms. Recognized as Top Doctor by Los Angeles Magazine (2024, 2021) and recipient of the Fellow Teaching Award (UCLA, 2019) and All University Teaching Award (University of Virginia, 2018), he emphasizes education and innovation, including participation in the UCLA Faculty Innovation Fellowship (2021) .

Eugene H. SpaffordView profile

Professor

• Information Security
• Cybersecurity
• Computer Forensics
• +2 more

Dr. Eugene H. Spafford ("Spaf") is a Distinguished Professor in the Department of Computer Sciences at Purdue University, serving since 1987. He holds courtesy appointments in Philosophy, Communication, Electrical and Computer Engineering, Nuclear Engineering, and Political Science. As founder and Executive Director Emeritus of CERIAS and the COAST Laboratory, he has shaped information security research and education. His research centers on information security, computer crime investigation, and information ethics. Spafford's work in cybersecurity, computer forensics, and computing ethics has established him as a leading figure in the field. He emphasizes practical security solutions and ethical considerations in technology. Recent publications address cybersecurity myths, deception-based security techniques, and password security, alongside memorials for computing pioneers. This blend reflects his dual focus on advancing security research and preserving the field's history. Spafford has advised numerous graduate students and secured significant funding for CERIAS, fostering interdisciplinary collaboration. He currently serves as Editor-in-Chief of Computers & Security and on the board of the Computing Research Association. Leading CERIAS, Spafford built one of the world's premier academic centers for information assurance, integrating expertise from computer science, engineering, and social sciences to address complex security challenges.

Adam BatesView profile

Associate Professor

• Data Provenance
• Cybersecurity
• Computer Systems
• +7 more

Adam Bates is an Associate Professor at the University of Illinois at Urbana-Champaign, with affiliations in the Department of Computer Science and the Electrical & Computer Engineering Department. His research focuses on data provenance, cybersecurity, and secure system design. He received his PhD from the University of Florida under Professor Kevin Butler, collaborating with the Florida Institute for Cybersecurity Research. His work addresses security challenges in SSL/TLS, cloud computing, USB attack vectors, and telephony infrastructure, with notable contributions to provenance-aware systems. Education: PhD in Computer Science (University of Florida, advised by Kevin Butler) Research Interests: Secure data provenance systems Endpoint detection and response Privacy in smart homes and IoT Serverless computing security USB and cloud security Scientific Awards: NSF CISE Research Initiation Initiative (CRII) Award (2017) NSF CAREER Award (2018) Labs & Teams: Principal Investigator at the STS Lab

• Building Acoustics
• Community Noise
• Machine Noise
• +4 more

Krister Larsson is a Professor of Practice and Docent at the Department of Technical Acoustics, Chalmers University of Technology. He also serves as a senior consultant at Efterklang (AFRY) and has held previous roles at SP and RISE, where he managed acoustics labs and conducted senior research. His expertise spans building acoustics , community noise , and machine noise , with significant contributions to noise reduction in urban environments and lightweight structures. Research Interests : Larsson focuses on acoustic modeling , vibroacoustic systems , thermoacoustic devices , and noise control in transportation infrastructure . His work bridges theoretical acoustics and practical applications, including sound classification standards, noise barriers, and sustainable urban planning. Scientific Awards : While no awards are explicitly listed, his extensive publication record and leadership roles in acoustics research groups underscore his professional impact. Teaching & Affiliations : He teaches foundational and advanced courses in the ACE program and Master's program in Sound and Vibration . His career includes collaborations with research institutions (SP, RISE) and industry (AFRY).

• Information Security
• Network Security
• Peer-to-Peer Systems
• +3 more

Masato Uchida is a Professor at the School of Fundamental Science and Engineering, Waseda University, with a focus on information security and network systems. His career spans roles at Chiba Institute of Technology and Kyushu Institute of Technology, and he holds degrees in Engineering from Hokkaido University. Education: Master of Engineering (Hokkaido University, 2001), Doctor of Philosophy (Hokkaido University, 2005) His research interests include network security, peer-to-peer systems, machine learning for cybersecurity, and traffic analysis. His work addresses anomaly detection, malware classification, and resource allocation fairness in networks. Recent publications analyze adversarial machine learning, cloud service abuse, and domain parking security. Uchida's articles demonstrate expertise in cybersecurity, network modeling, and data science. He has received multiple awards for research excellence, including IEEE Outstanding Paper Awards and IEICE Communications Society honors. His leadership in committees like the Ministry of Internal Affairs and Communications' technical task forces highlights his policy influence. Scientific Awards: Outstanding Paper Award, IEEE International Conference on Teaching, Assessment, and Learning for Engineering (2020) MWS Outstanding Paper Award, Computer Security Symposium (CSS 2020) IEICE Activity Contribution Award (2016) Best Poster Award, SCIS & ISIS (2014) IEICE Network Systems Research Award (2012) He advises students in cybersecurity and collaborates on projects involving traffic load balancing, Android malware analysis, and cloud security. His professional memberships include IEEE, ACM, and the Information Processing Society of Japan.