Find Academic Supervisors

Serra HakyemezView profile

Assistant Professor

• Political-Legal Anthropology
• Counterinsurgency Studies
• Decolonization
• +5 more

Serra Hakyemez is Assistant Professor of Anthropology and Global Studies at the University of Minnesota, currently on leave until January 2023. Her research examines the intersection of counterinsurgency warfare and judicial violence in Turkey's Kurdish regions, focusing on prison solidarity networks and decolonial resistance. She employs interdisciplinary methods combining political anthropology, legal studies, and ethnography to analyze state violence and resistance movements. Education includes: Ph.D. in Cultural Anthropology, Johns Hopkins University, 2016 M.A. in Sociology and Anthropology, Central European University, 2008 M.Sc. in Social Policy, London School of Economics, 2006 B.A. in Political Science & Business Administration, Bogazici University, 2005 Her research investigates the juridical and visual economies of counterinsurgent violence, with ongoing work on prison-based solidarity and insurgent justice frameworks in Kurdistan. Publications explore themes including feminist resistance in conflict zones, archival politics of state violence, and the anthropology of dissent. Awards include: ACLS Fellowship Wenner-Gren-Hunt Fellowship

Nils Ole TippenhauerView profile

Professor

• Cyber-Physical System Security
• Industrial Control Systems Security
• Physical-Layer Security
• +7 more

Nils Ole Tippenhauer is a faculty member at the CISPA Helmholtz Center for Information Security , leading the SCy-Phy research group . His academic journey includes an Assistant Professorship at the Singapore University of Technology and Design (SUTD) (2014–2018), a PhD in Computer Science from ETH Zurich (2012), and a Diploma in Computer Engineering from Hamburg University of Technology (2007). He also holds an exchange study year at the University of Waterloo (2004–2005) supported by a DAAD scholarship. Research Interests focus on practical systems security , particularly Security of Cyber-Physical Systems Industrial Control Systems (ICS) and Industrial IoT (IIoT) Physical-Layer Security and Wireless Security Privacy-Preserving Technologies (e.g., DP3T project) Embedded Systems Security Threat Detection & Defenses His work integrates both theoretical and applied approaches, addressing vulnerabilities in critical infrastructures like water systems and power grids. Recent Publications highlight trends in Anomaly detection evasion in industrial networks Microarchitectural side-channel defenses Localization techniques in cellular networks Security analysis of ICS protocols Data-driven vulnerability assessments for robotics Cyber-physical simulation for infrastructure security Scientific Awards include Best paper at DIMVA'23 Distinguished Paper at ACSAC 2022 Best paper at CPSIOTSEC 2022 Best paper at CPSS 2017 K-H Ditze Award for diploma thesis (2007) SG Mark Institution award (2016) Runner-Up at smart energy hackathon (2013) Advising and Grants feature PhD defenses of Daniele Antonioli and Hamid Reza Ghaeini (2022), co-organizing conferences like WiSec and CPSS , and leading projects such as the National Science Experiment (NSE) with 50,000 mobile sensors in Singapore. He also contributed to the DP3T project for privacy-preserving contact tracing. Labs and Teams include the SCy-Phy research group at CISPA and the development of testbeds like SWaT (Secure Water Treatment), WADI (Water Distribution), and EPIC (Electric Power and Industrial Control) at SUTD. These platforms enable hands-on security research in realistic industrial environments.

Christian RossowView profile

Professor

• Software Security
• System Security
• Network Security
• +15 more

Christian Rossow is Faculty at CISPA – Helmholtz Center for Information Security in Dortmund, Germany, where he leads the System Security research group. He holds dual academic appointments as a professor in the Computer Science department at Saarland University and as an honorary professor at TU Dortmund University. His research spans systems, software, and network security, with a focus on cyber attacks, defenses, and privacy. Research Interests: His primary research areas include software and system security (e.g., exploitation techniques, compiler-assisted defenses, AI-assisted (in)security), network security (e.g., DDoS mitigation, attack attribution, traffic analysis), and cybercrime (e.g., malware analysis, data-driven studies). He emphasizes foundational research with practical applications. Publication Trends: His recent work (2023–2025) shows a strong focus on microarchitectural attacks (e.g., cache side-channels, prefetcher analysis), browser and web security (e.g., sandbox escapes, CSS fingerprinting), network protocol vulnerabilities (e.g., TCP spoofing, infinite loops), and applied cryptography (e.g., ISA extensions for key management). His research consistently targets top-tier venues like IEEE S&P, USENIX Security, ACM CCS, and NDSS. Distinguished Paper Award at IEEE EuroS&P 2021 Best Student Paper Award at MIT Spam Conference 2010 Advising and Grants: He actively supervises PhD students and postdoctoral researchers, with alumni placed in industry (NVIDIA, Crowdstrike, Continental) and academia. His research is supported by major grants including EU H2020 SISSDEN, BMBF-funded BOB, DFG-funded anonymous communication, and RAMSES. He regularly serves in leadership roles in the community, including PC Chair for RAID 2022/2023 and USENIX WOOT 2018, and Track Chair for ACM CCS 2026. Labs and Teams: He leads the System Security research group at CISPA, a world-leading institution for security and privacy. The group comprises talented full-time researchers and focuses on cutting-edge research with strong individual supervision and worldwide collaborations.

Steven A. MillerView profile

Professor

• Personality characteristics
• Individual differences
• Emotional experiences
• +5 more

Dr. Steven A. Miller is a Professor of Psychology in the Department of Psychology at Rosalind Franklin University of Medicine and Science, within the College of Health Professions. He joined RFUMS in 2013 and serves as a statistics consultant for the university. His academic background includes a PhD in Social Psychology from Loyola University Chicago, an M.S. in Psychology from Illinois State University with specialization in Clinical Psychology, and an M.S. in Mathematics from Loyola University Chicago with specialization in Probability and Statistics. PhD in Social Psychology, Loyola University Chicago M.S. in Psychology, Illinois State University (Clinical Psychology specialization) M.S. in Mathematics, Loyola University Chicago (Probability and Statistics specialization) Dr. Miller's research focuses on the intricate relationship between personality characteristics/individual differences and emotional experiences. He investigates anxiety and emotional disorders, social cognitive models of personality, and applies quantitative methodology to psychological questions. His work examines intra-individual variability in emotional responses and how situational factors interact with personality to shape emotional experiences. He employs diverse methodologies including experience sampling studies and laboratory experiments to explore these complex dynamics. His recent publications demonstrate a strong focus on psychopathy, emotion regulation, network analysis of personality, and the tripartite model of anxiety and depression. His work spans clinical, forensic, and general populations, often employing sophisticated statistical techniques. There's a clear trajectory toward more complex modeling approaches including network analysis, longitudinal modeling, and advanced psychometric techniques across his publication history. Accredited Professional Statistician (PStat®) with the American Statistical Association Chartered Statistician (CStat) with the Royal Statistical Society Dr. Miller actively mentors graduate students, with numerous student co-authors appearing in his publications. He teaches advanced statistical courses including multivariate statistics, longitudinal models, and categorical data analysis. He is currently accepting doctoral students for the 2026/2027 academic year. His collaborative research spans multiple institutions including DePaul University and Texas A&M, focusing on emerging adults, romantic relationships, and chronic illness. His research laboratory examines the fundamental relationship between personality and emotion, exploring how situational contingencies and individual expectancies shape emotional responses. Current collaborative projects investigate daily experiences of emerging adults, psychopathy in romantic relationships, and social media use among individuals with chronic illness using diverse methodological approaches.

• Face Recognition
• Developmental Prosopagnosia
• Neurodiversity in Women
• +3 more

Dr. Anna Bobak is a Senior Lecturer in Psychology at the University of Stirling, UK. She holds a PhD from Bournemouth University (2016) and joined Stirling as a Research Assistant on an EPSRC project under Peter Hancock before transitioning to her current role. Her primary research focuses on individual differences in unfamiliar face recognition, particularly developmental prosopagnosia, and the reliability of face-processing assessments. She also investigates neurodiversity in women, emphasizing lived experiences of autism and ADHD, including camouflaging behaviors and societal awareness. Research Interests: Face Recognition: Examines perceptual strategies, diagnostic criteria (e.g., Balanced Integration Score), and technological applications in forensic contexts. Neurodiversity: Explores gender-specific manifestations of autism and ADHD, societal perceptions, and support mechanisms. Cognitive Methodology: Advances psychometric rigor in face-processing studies and critiques measurement validity. Her work bridges theoretical research and real-world applications, such as evaluating automated face recognition technology’s biases and collaborating on initiatives like #ScienceForUkraine to aid displaced academics. She is affiliated with the Cognition in Complex Environments research group and contributes to global security and resilience themes at Stirling.

Gavin OxburghView profile

Professor

• Legal Psychology
• Forensic Psychology
• Investigative Interviewing
• +4 more

Gavin Oxburgh is a Professor of Police Science at Northumbria University and an HCPC-registered Consultant Forensic Psychologist. He holds Chartered Psychologist and Chartered Scientist statuses, and serves as Assistant Director of The Northern Hub for Veteran and Military Families Research. With 22 years in the Royal Air Force Police as a senior detective specializing in child protection and sexual offenses, he now advises globally on legal psychology and human rights. His work includes collaboration with the International Criminal Court (ICC) and contributions to the UN-led Mendez Principles on Effective Interviewing. Research focuses on legal/criminological psychology, including international human rights, non-coercive interviewing, false memories, and veterans' issues. He has secured over £5M in grants from ESRC, EPSRC, and defense-related funds. Key roles include editorial positions for Journal of Investigative Psychology and Torture Journal , and Associate Investigator status with EPSRC/GCHQ's Academic Centre of Excellence in Cyber Security Research (ACE-CSR). Professional activities include founding ETICA (Global) for ethical investigative practices and co-founding the International Investigative Interviewing Research Group (iIIRG). He trains investigators worldwide, including UN agencies, European institutions, and South African law enforcement. His qualifications include a PhD in Psychology (2011), PGCLTHE (2008), and Fellow of the British Psychological Society (FBPsS). Notable projects include studies on remote forensic interviewing during the pandemic, veteran suicide prevention, and capacity-building in counter-wildlife crime. His work emphasizes ethical interviewing techniques, cross-cultural challenges, and technology's role in modern investigations.

Gail S. GoodmanView profile

Professor

• Developmental Psychology
• Eyewitness Memory
• Trauma and Memory
• +8 more

Professor Gail S. Goodman, a Distinguished Professor of Psychology at the University of California, Davis, is a pioneering scholar in developmental psychology and psychology-law intersections. She directs the Center for Public Policy Research and has established foundational research in children's eyewitness memory and child victims' experiences in legal contexts. Ph.D., M.A., B.A. in Psychology from the University of California, Los Angeles Her research focuses on memory development and children's roles as witnesses, examining trauma-memory relationships, attachment influences, emotional regulation, and forensic interview techniques. Her work has informed legal policies and been cited in U.S. Supreme Court decisions. Key trends in her recent publications include trauma's impact on memory accuracy, false memory balancing, and courtroom dynamics for child witnesses. Her studies span developmental psychology, forensic science, and trauma recovery. 2017 APSAC Handbook chapter on child interview techniques 2017 American Psychologist review on trauma memory and counseling 2016 chapters on memory development and trauma psychopathology Professor Goodman has received numerous accolades, including APA's Urie Bronfenbrenner Award, APS's James McKeen Cattell Award, and an Honorary Doctorate from the University of Oslo. She has also earned teaching and mentoring awards at UC Davis. As Director of UC Davis's Center for Public Policy Research, she consults with global agencies on child maltreatment policies and leads interdisciplinary teams studying memory, trauma, and legal systems. Her work bridges academic research with practical applications in law and child welfare.

Lorenzo CavallaroView profile

Professor

• Trustworthy AI for Systems Security
• Adversarial Machine Learning
• Malware Detection
• +6 more

Lorenzo Cavallaro is a Full Professor of Computer Science at University College London (UCL), specializing in Trustworthy AI for Systems Security. His research focuses on developing learning-based methods that are robust against adversaries by understanding the interplay between program analysis, representations, and machine learning models. His research interests span multiple critical areas in cybersecurity, including adversarial machine learning, malware detection, program analysis, and security evaluation. Cavallaro's work particularly emphasizes the challenges of concept drift in security systems and the development of robust defenses against evolving threats. His research has significant implications for Android security, binary analysis, and memory safety in embedded systems. Analysis of his recent publications (2024-2025) reveals a strong focus on addressing fundamental challenges in ML-based security systems. His work spans malware detection systems that maintain reliability under distribution shifts, adversarial attacks in the problem space, context-driven approaches using LLMs for security applications, and temporal invariance in malware detection. A recurring theme is the critical examination of whether ML-based security systems are truly robust and reliable in real-world scenarios. Cavallaro serves in significant editorial and advisory roles including the NDSS Steering Group (2023-2026), Associate Editor for Computer & Security and ACM TOPS, and Scientific Advisory Board for SERICS. He has been actively involved in program committees for top security conferences including IEEE S&P, USENIX Security, CCS, and NDSS from 2021-2025. He teaches Malware (COMP0060; 2022—ongoing), Research in Information Security (COMP0057; 2021—23), and Computer Security 2 (COMP0055; 2021—ongoing) at UCL, contributing to the next generation of security researchers and practitioners.

Stephen D. HartView profile

Professor

• clinical-forensic psychology
• violence risk assessment
• psychopathic personality disorder
• +5 more

Stephen D. Hart is a Full Professor in the Department of Psychology at Simon Fraser University, with expertise in clinical-forensic psychology. His work focuses on assessment in criminal and civil settings, particularly violence risk and psychopathic personality disorder. He has also served as a Visiting Professor at the University of Bergen since 2000 and provides violence risk assessment and management services through Protect International Risk and Safety Services. Dr. Hart completed his education at the University of British Columbia, obtaining a BA in 1984, MA in 1987, and PhD in 1993. He began teaching at Simon Fraser University in 1990 and was appointed a regular faculty member in 1994. His primary research interest is clinical-forensic assessment, with specific focus on violence risk (including intimate partner violence, sexual violence, stalking, workplace violence, and terrorism) and psychopathic personality disorder. He co-developed the Structured Professional Judgment (SPJ) approach to violence risk assessment and has co-authored numerous SPJ violence risk assessment guides including HCR-20, RSVP, SVR-20, SARA, B-SAFER, SAM, PATRIARCH, MLG, and EARLI. He also developed the Comprehensive Assessment of Psychopathic Personality (CAPP) concept map with colleagues at Glasgow Caledonian University and the University of Liverpool. His publication record shows consistent output with significant contributions to understanding violence risk assessment across cultures and settings, as evidenced by his work on cases like Ewert v. Canada. His recent publications focus on economic analysis of crime costs associated with psychopathic personality disorder, stalking recidivism, and online stalking behaviors. Distinguished Contributions Award, American Academy of Forensic Psychology (2019) Distinguished Achievement Award, Association of Threat Assessment Professionals (2009) Career Achievement Award, Section on Clinical Emergencies and Crises (Section VII) of the Society of Clinical Psychology (2003) Jerome Fisher Memorial Lecture Award (2001) Saleem Shah Award for Early Career Research Excellence (1995) Dr. Hart has supervised numerous graduate and undergraduate students at Simon Fraser University and other institutions, and has acted as external examiner for graduate students worldwide. His research has received substantial funding, enabling the development and validation of multiple assessment instruments that have become standards in forensic practice. He has also served as Editor of the Journal of Threat Assessment and Management, further demonstrating his leadership in the field. Dr. Hart leads or significantly contributes to research teams focused on violence risk assessment and psychopathy assessment, collaborating with international colleagues across multiple disciplines including psychology, psychiatry, criminology, and law. His work bridges academic research and practical application in forensic settings globally.

Elizabeth F. LoftusView profile

Professor

• Memory Psychology
• Eyewitness Testimony
• False Memory Research
• +5 more

Elizabeth F. Loftus is a Distinguished Professor at the University of California, Irvine with appointments in the Department of Psychology and Social Behavior, Department of Criminology, Law, and Society, and Department of Cognitive Sciences. She also holds affiliate professor appointments in Psychology and Law at the University of Washington. As a Fellow of the Center for the Neurobiology of Learning and Memory, she maintains active research programs across multiple disciplines. Dr. Loftus's research focuses on the malleability of human memory, particularly in legal contexts. Her pioneering work on the misinformation effect demonstrates how memories can be altered by post-event information, with profound implications for eyewitness testimony. She has extensively studied false memories, repressed memory phenomena, and the creation of memory distortions through suggestion, hypnosis, and other therapeutic techniques. Her research has challenged conventional wisdom about memory reliability and has been instrumental in legal cases involving eyewitness testimony. Analysis of her recent publications reveals consistent themes in cognitive psychology and legal applications, with particular emphasis on memory distortion mechanisms, source monitoring failures, and the creation of false memories through suggestion. Her work spans experimental psychology, legal psychology, and clinical applications, demonstrating how memory can be manipulated in predictable ways. Grawemeyer Award in Psychology (2005) American Psychological Association Award for Distinguished Scientific Applications of Psychology (2003) Member, American Academy of Arts and Sciences Member, National Academy of Sciences (U.S.) Dr. Loftus has been central to numerous high-profile legal cases involving memory reliability, including the Eileen Franklin case where she served as an expert witness. Her research has influenced legal standards for evaluating eyewitness testimony and has prompted critical examination of recovered memory therapy practices. She has been involved in litigation concerning false memory syndrome and therapeutic malpractice, with her research cited in numerous court cases. At UC Irvine, she collaborates with researchers in the Center for the Neurobiology of Learning and Memory, bridging cognitive psychology with neuroscience approaches to memory research.

Brendan Dolan-GavittView profile

Associate Professor

• Cybersecurity
• Program Analysis
• Virtualization Security
• +5 more

Brendan Dolan-Gavitt is an Associate Professor in the Computer Science and Engineering Department at NYU Tandon School of Engineering and part of the NYU Center for Cybersecurity (CCS). He holds a Ph.D. in Computer Science from Georgia Tech (2014) and a BA in Math and Computer Science from Wesleyan University (2006). His research spans cybersecurity, program analysis, virtualization security, memory forensics, and embedded/cyber-physical systems, focusing on automating the understanding of large software systems to develop novel defenses. Research interests include developing techniques for static and dynamic analyses of real-world software to reveal hidden design assumptions. His work has been presented at top security conferences like USENIX Security, ACM CCS, and IEEE Security & Privacy. He led the development of the open-source PANDA platform for dynamic analysis. His publications primarily focus on AI-driven security solutions, vulnerability discovery, and automated testing tools. Recent work explores LLMs in offensive security, fuzzing enhancements, and secure code generation, emphasizing practical applications in cybersecurity. Scientific Awards: NSF CAREER Award for improving software vulnerability testing and education He leads the OSIRIS Lab, a student-run cybersecurity group, and collaborates on interdisciplinary projects addressing emerging security challenges through grants and industry partnerships.

Melissa FergusonView profile

Professor

• Implicit Social Cognition
• Social Psychology
• Cognitive Psychology
• +3 more

Melissa J. Ferguson is a Professor of Psychology at Yale University since 2020, previously affiliated with Cornell University's Psychology Department (2002-2020). Her research focuses on implicit cognitive processes underpinning evaluation, goal-pursuit, self-control, and social behavior. She investigates impression updating, prejudice expression, and behavioral control mechanisms. Ph.D., Social Psychology, New York University (2002) As director of Yale's Implicit Social Cognition Lab, Ferguson explores how implicit evaluations evolve through reinterpretation and new evidence. Her work spans human-robot interaction, moral agency, and political bias dynamics, with funding from the National Science Foundation and National Institutes of Health. Recent publications analyze: (1) Robot competence evaluation mechanisms, (2) Implicit bias correction methods, (3) Legal decision-making patterns, and (4) Prejudice shifts during political events. She contributes to high-impact outlets like Psychological Science and PNAS . Best Paper Award, ISCON 2016

Brett HayesView profile

Professor

• Reasoning
• Concept Learning
• Memory
• +8 more

Professor Brett Hayes is a distinguished cognitive psychologist at the University of New South Wales, serving in the School of Psychology. He is the founding Director of the Sydney Thinking and Reasoning (STAR) Laboratory, which he has led for over 15 years, securing more than $4 million in competitive research funding. Professor Hayes has previously held the position of Head of the School of Psychology and served as a member of the Australian Research Council (ARC) College of Experts. His research expertise spans reasoning, concept learning, memory, and developmental changes in these cognitive processes. Professor Hayes employs both experimental investigation and computational modeling in his work, with a particular focus on applying fundamental cognitive research to practical problems in forensic and clinical decision-making, early childhood education, and climate change science communication. His research has significant interdisciplinary applications across psychology, education, and environmental science. Professor Hayes has published extensively in top cognitive science journals, with his most recent work focusing on inductive reasoning, sampling assumptions, learning traps, and consensus perception. His research demonstrates consistent innovation in understanding how people process information, make decisions under uncertainty, and develop reasoning abilities across the lifespan. His scientific contributions include numerous journal articles, book chapters, and co-authored textbooks on developmental psychology. Professor Hayes has also contributed to teaching through courses such as PSYC3341 Developmental Psychology (which he chairs), PSYC3221 Cognitive Science, and PSYC2061 Developmental and Social Psychology. Professor Hayes maintains an active research program with ongoing collaborations across multiple institutions, as evidenced by his numerous co-authored publications. His laboratory continues to advance our understanding of human cognition through rigorous experimental work and theoretical development.

Felix Xiaozhu LinView profile

Associate Professor

• Systems Software
• Operating Systems
• Computer Architecture
• +4 more

Felix Xiaozhu Lin serves as Associate Professor and William Wulf Faculty Fellow in the Department of Computer Science at the University of Virginia's School of Engineering and Applied Science, where he directs the Computer Science Ph.D. Program and MCS/MS Program. Previously a tenured Associate Professor at Purdue University's School of Electrical and Computer Engineering, Lin joined UVA Engineering in August 2020 after completing his doctoral research at Rice University. His educational credentials include: Ph.D. in Computer Science, Rice University (2014) M.S. in Computer Science, Tsinghua University (2008) B.S. in Automation, Tsinghua University (2006) Lin's research centers on systems software at the intersection of operating systems, compilers, and computer architecture, with emphasis on accelerating and safeguarding software systems. His current projects target on-device large language models and speech processing for low-cost hardware ( Analysis of his recent publications reveals a strong trajectory in edge computing and efficient AI systems. His research demonstrates increasing focus on hardware-software co-design for autonomous devices, with significant contributions in video analytics for energy-constrained cameras, kernel virtualization for heterogeneous architectures, and stream processing frameworks leveraging emerging memory technologies. The work consistently addresses real-world constraints like power limitations and network intermittency while maintaining rigorous academic standards. His scientific recognition includes: National Science Foundation CAREER Award (2019) Google Faculty Research Award (2016) NSF CISE Research Initiation Initiative Award (2015) ACM ASPLOS Best Paper Award (2014) Lin leads the XSEL research group mentoring graduate and undergraduate students in systems software development. His educational initiatives include CS4414/CS6456, a modern operating systems course featuring Arm64 baremetal kernel development, multicore systems, trusted execution environments, and filesystem forensics. The course's experiential approach has received strong student feedback for its modern content and practical relevance. His group actively recruits for projects spanning on-device AI, hardware-accelerated speech processing, and next-generation OS development. Based in Charlottesville, Virginia, Lin's research benefits from UVA's proximity to Shenandoah National Park and collaborative opportunities within the university's vibrant computing ecosystem, including the 2024 LLM Workshop he co-organized with Professor Yangfeng Ji.

Cem ZaferView profile

Researcher

• Sociology
• Religious Studies
• Social Media
• +7 more

Cem Zafer is an academic researcher affiliated with İstanbul Okan University , specifically the Faculty of Humanities and Social Sciences . His scholarly work spans interdisciplinary topics in sociology, religious studies, and technology's societal impacts. Research Focus: Digital transformation, gender dynamics, and cultural identity. Publications: 15+ peer-reviewed articles and book contributions since 2012. Key Themes: Social media ethics, religious discourse, and labor sociology. His recent publications highlight the interplay between artificial intelligence, social justice, and historical narratives in modern Turkey. While no formal awards or grants are documented in the provided text, his academic output demonstrates sustained engagement with contemporary sociocultural challenges.