Rajarajan, M. is a Professor at City, University of London , specializing in Cybersecurity , Blockchain Technology , and Internet of Things (IoT) Security . His research focuses on secure access control, privacy-preserving systems, and risk assessment in cloud and smart grid environments. Research Interests : Blockchain for IoT and IIoT Smart Grid Security and Pricing Models Privacy-Preserving Machine Learning Cloud Computing Risk Assessment DDoS Attack Mitigation Biometric and Continuous Authentication Article Trends : 2023: Blockchain for IoT access control, dynamic cloud risk models, ransomware detection 2022: Smart grid security, DDoS propagation, privacy in autonomous vehicles 2021: Post-quantum cryptography, decentralized identity frameworks 2020: Microgrid pricing, IoT message broker transparency Key Collaborators : Smith-Creasey, M. (IoT Authentication) Tahir, S. (Privacy in IoT) Acarali, D. (Smart Grid Security) Boiarkin, V. (Energy Grid Pricing)
Tracy Rogers is an Associate Professor in the Department of Anthropology at the University of Toronto Mississauga (UTM) and serves as the Director of the Forensic Science Program. She is a practicing Forensic Anthropologist with case work experience across Ontario, Manitoba, and British Columbia, most notably in the Robert Pickton serial killer investigation (2002–03). Her expertise spans skeletal identification, trauma analysis, and application of 3D technologies to forensic documentation. Education: Ph.D. in Anthropology, Simon Fraser University (2000) Dr. Rogers specializes in forensic anthropology, focusing on age-at-death estimation, sex determination, ancestry assessment, and identification of human remains. Her research also explores skeletal health factors, juvenile remains, and clandestine grave analysis using geospecific 3D data capture. She supervises graduate research in bioarchaeology, osteology, and forensic anthropology. Her contributions to forensic science education include designing courses like the Forensic Anthropology Field School and Professional Practice in Forensic Anthropology. Awards include UTM's Teaching Excellence Award and a nomination for TVOntario's Best Lecturer Award.
Kristjan Kask is an Associate Professor of Psychology of Law at Tallinn University's School of Natural Sciences and Health, with a 20-year career in forensic psychology and investigative interviewing. He holds a PhD in Forensic Psychology from the University of Leicester (2008) and MSc/BSc from the University of Tartu.
Dr. Lixin Tao is a tenured Professor and Chairperson of the Computer Science Department at Pace University's Seidenberg School of CSIS. He earned his PhD in Computer Science from the University of Pennsylvania in 1988 and has conducted research and teaching at Concordia University (1988-2001) before joining Pace University. Research Interests: Dr. Tao's work spans Internet Computing , Server Scalability , Component Technologies , Parallel Computing , Functional Simulation , and Combinatorial Optimization , with recent focus on Knowledge Graphs , Semantic Web , and Secure Mobile Cloud Systems . He has pioneered cloud computing research since the 1990s and developed industry standards like OWL extensions. Over 300 peer-reviewed publications Director of Pace University's PhD Computer Science Program (2013-2017) Developed MS in Enterprise Analytics (2015) and BS in Computer Engineering (2017) Scientific Awards: Recognized as IEEE Senior Member (2020), ABET Evaluator (2001-2012), and recipient of multiple research grants including a $12M NSERC Strategic Technology Program and NSF awards for server infrastructure. He received Pace University's Presidential Research Grant and collaborated with institutions like Stanford University on knowledge engineering projects. Professional Contributions: Directed ABET accreditation for Pace's BS-CS program (2010-2012), served as Editor-in-Chief for the Journal of Computer Science Research (2018-present), and supervised dozens of PhD/DPS students in areas ranging from Mobile Payment Protocols to Drug Side Effect Knowledge Graphs . His lab focuses on Knowledge-Empowered AI and Secure Software Development .
Nan Sun is a Lecturer at the School of Systems & Computing , University of New South Wales, Canberra , conducting interdisciplinary research at the intersection of cybersecurity and artificial intelligence. Her work focuses on data-driven cybersecurity incident prediction, cybersecurity awareness education systems, and AI applications for threat intelligence. PhD in Information Technology (Deakin University) Former Research Fellow at Deakin University's Centre for Cyber Security Research and Innovation Her research spans cybersecurity (60%), machine learning (25%), and software engineering (15%). Recent publications analyze adversarial machine learning, tropical cyclone forecasting with deep learning, and ethical AI frameworks for cyberbullying mitigation. She leads grants including the UNSW Recruitment Research Proposal Grant and CSIRO Data61 funding. Current teaching includes Big Data and Decision Analytics for Security and Digital Forensics . She offers PhD scholarships to students with high academic achievement.
Roman Ptak is a researcher at the Department of Computer Engineering, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work focuses on document analysis, handwriting recognition, and geohistorical data modeling. Research interests include: Document Analysis: Specializing in text line segmentation and handwriting recognition techniques Geohistorical Data: Addressing heterogeneity in historical information systems Image Processing: Developing algorithms for document examination and artifact analysis Roman's recent research trends show: 2024: Tensor voting applications in handwriting analysis 2023: Advanced segmentation techniques for handwritten documents 2021: Heterogenic spectral database development 2020: Hybrid approaches combining histograms and projection methods 2019: Ink spectral analysis and polymorphic microscopy 2017: Historical document authentication and GIS-based cultural geography studies Contact: roman.ptak@pwr.edu.pl
Stig Pedersen-Bjergaard is a Professor at the Department of Pharmacy, University of Oslo since 2000 and holds a 20% position at the Department of Pharmacy, University of Copenhagen since 2008. His research focuses on pharmaceutical analytical chemistry , particularly the development of microextraction techniques like electromembrane extraction (EME) and liquid-phase microextraction (LPME). Specializes in isolating/concentrating drugs, metabolites, and peptides from biological samples Develops equipment (96-well plates, microchips) and theoretical frameworks for mass transport Authored two international textbooks in pharmaceutical analytical chemistry and bioanalysis (Wiley) Research Trends include optimizing extraction windows, commercializing microextraction technologies, and evaluating green chemistry metrics for sustainable pharmaceutical analysis. Publications emphasize deep eutectic solvents , agarose membranes , and nanomaterial integration in extraction systems. Teaching covers pharmaceutical raw material analysis, drug determination in biological samples, and general analytical chemistry. He serves as Editor for Advances in Sample Preparation and Associate Editor for Journal of Pharmaceutical Analysis .
Christian Rathgeb is a Professor with the Faculty of Computer Science at Hochschule Darmstadt, Germany, serving as a Principal Investigator in the National Research Center for Applied Cybersecurity (ATHENE) and Program Chair of the International Conference of the Biometrics Special Interest Group (BIOSIG). His research bridges theoretical foundations and practical security applications in biometric systems. Rathgeb's work focuses on biometrics with expertise in iris and face recognition systems, privacy-enhancing technologies, and template protection. His research addresses critical challenges including demographic bias in biometric systems, vulnerability to morphing attacks, and privacy concerns in biometric applications. Notably, his recent work explores synthetic data generation for improving recognition systems and developing robust methods for detecting face manipulation. Analysis of his recent publications reveals a strong trajectory toward addressing emerging threats in biometric security, particularly deepfakes and digital face manipulation. His research increasingly integrates privacy considerations with system performance, reflecting the growing societal importance of ethical biometric applications. The work demonstrates both theoretical rigor and practical implementation value. Member of the European Association for Biometrics (EAB) Member of the IET Biometrics Editorial Board Developer of USIT – University of Salzburg Iris Toolkit v2.0 Author of one of the most downloaded IEEE-TIFS papers Professor Rathgeb actively supervises master's and bachelor's students, with recent successful thesis defenses by Hans Heje and Maciej Salwowski. His student Mathias Ibsen received the Best HAW Promotion Award, highlighting the quality of research conducted under his guidance. Rathgeb maintains extensive collaborations with researchers across Europe, particularly with Christoph Busch and other members of the international biometrics community. As Principal Investigator at ATHENE, Rathgeb leads research teams developing practical security tools with emphasis on privacy-preserving techniques. His group contributes to international standards in biometric security and regularly addresses real-world challenges in authentication systems.
Laura Tammenlehto is a Senior Lecturer in Commercial Law and Project Researcher at the University of Eastern Finland's Law School, part of the Faculty of Social Sciences and Business Studies. Her research focuses on intellectual property rights and criminal law, particularly copyright and trademark infringements, food fraud, and technological challenges in legal enforcement. She contributes to research groups in Commercial and Trade Law, and Civil Law. Research Interests: Intellectual Property Rights (IPR) criminalization and enforcement Cybercrime and digital technology's legal implications Comparative analysis of Nordic and international legal systems Legal ethics and professional conduct Parole supervision and penal policy Key Projects: Translation and Interpreting in the Criminal Process (2025–2026) Artificial Intelligence's impact on criminal infringement analysis Grants & Advising: No student advisees listed. Active in research projects addressing digital and transnational legal challenges. Labs/Teams: Collaborates with interdisciplinary teams in the Commercial and Trade Law Research Group and Civil Law Research Group.
Professor Craig E. Banks holds a Personal Chair in Chemistry at Manchester Metropolitan University, leading the Electrochemistry Group. His research focuses on electrochemistry, additive manufacturing, and sustainable materials, addressing global challenges like clean energy and circular economy principles. He has pioneered innovations in 3D-printed electrochemical sensors and recycled materials, contributing to over 660 publications with an h-index of 105. Education: BSc (Hons) Chemistry, DPhil (Oxford), PGCHE, FHEA, FRSC. Research interests include supercapacitors, batteries, 2D materials, electrosynthesis, and environmental sensing. Key projects include TRANSFORM-CE (plastic recycling), ShaREPAIR (electronic waste reduction), and CIRMAP (concrete waste reuse). Recipient of major awards: Royal Society of Chemistry Tilden Prize (2023), Harrison-Meldola Memorial Prize (2011), and multiple Research.com Leadership Awards. Editorial roles include Editor-in-Chief of Journal of Carbon Research and co-Editor-in-Chief of Talanta Open . Labs/Teams: Leads MMU Electrochemistry Group and collaborates internationally. Advises students like Dale Brownson (RSC Belcher Award winner). Active in PrintCity and Circular Economy Network initiatives.
Prof. Dr. Marco Oetken is Full Professor (Chair) of Chemistry and its Didactics at the University of Education Freiburg (Pädagogische Hochschule Freiburg), Germany, and serves as Head of the Chemistry Department. Since 2007 he has held a permanent W3-Professorship, having previously declined calls to Justus-Liebig-Universität Gießen, University of Oldenburg and University of Münster. He is deputy chair of the GDCh Chemistry Education Division and editor-in-chief or editorial-board member of several leading German journals for chemical education. Education 1989 – 1994: Undergraduate studies in Chemistry & Biology for secondary-school teaching, Carl von Ossietzky University Oldenburg 1994: First State Examination (1. Staatsexamen) 1997: PhD (Dr. rer. nat.), Carl von Ossietzky University Oldenburg – Chemistry Education under Prof. Dr. Walter Jansen 2000: Second State Examination (2. Staatsexamen) 2001: Habilitation in Chemistry, Carl von Ossietzky University Oldenburg Research Interests Marco Oetken’s research integrates cutting-edge electrochemistry with innovative didactic approaches. His group develops school-oriented experiments on next-generation energy-storage systems (lithium-ion, sodium-ion, redox-flow, metal-air, supercapacitors), electrochromic “smart windows”, and forensically relevant reactions. A second focus lies on conceptual change research: empirical studies on students’ particle concepts, the role of misconceptions, and the design of conflict-oriented teaching sequences. He also pioneers early-science education through the NAWIlino and NAWI-Haus projects that bring inquiry-based chemistry to kindergarten and primary school pupils. Scientific Awards Buchpreis des Fonds der Chemischen Industrie (1987) Manfred und Wolfgang Flad-Preis der GDCh (1999) Umweltfreundlicher Chemieunterricht Prize, Baden-Württemberg (2000) Lehrpreis (1st place), University of Education Freiburg – NAWIlino project (2005) 1st prize, Landesstiftung Baden-Württemberg „Exponate aus Naturwissenschaft und Technik“ (2007) Poster Prize (1st place), 2. Batterieforum Deutschland (2014) Heinz-Schmidkunz-Preis der GDCh (2017) Literature Prize 2018 – Austrian Society for Chemistry & School Grants & Collaborative Networks Oetken is spokesperson of the structured doctoral college „Experimentieren im mathematisch-naturwissenschaftlichen Unterricht“ , a joint graduate school of the Universities of Education Freiburg, Heidelberg, Ludwigsburg and Weingarten. His projects are funded by the German Federal Environmental Foundation (DBU), the Baden-Württemberg Foundation, the European Social Fund, and industry partners. Long-standing collaborations exist with Karlsruhe, Münster and Oldenburg universities on electrochemical model systems and teacher professional development. Laboratory & Outreach He directs a fully equipped research laboratory for electrochemical energy storage and chemical education at Freiburg, housing the NAWIlino-Box development workshop and the NAWI-Haus outreach centre. Annual teacher-training courses and summer schools attract hundreds of educators from across Germany.
Muhammad Mudassar Yamin serves as an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His academic work spans cybersecurity research, artificial intelligence applications, and cyber range development, with significant contributions to security exercise frameworks and adversarial machine learning. His research interests focus on Cybersecurity , particularly in cyber ranges, security assurance, and AI-driven threat detection. Key areas include Kill Chain analysis, adversarial machine learning for hate speech detection, and security exercise scenario generation. Recent work demonstrates increasing integration of large language models for cybersecurity training and multilingual threat detection systems. Yamin's publication trends show consistent output in top cybersecurity venues, with recent emphasis on AI applications for security (2022-2025). His work bridges theoretical frameworks and practical implementations, particularly in cyber range technologies and threat intelligence systems. Collaborations with researchers like Basel Katt and Ehtesham Hashmi appear frequently across publications. He teaches courses including IIK3100 - Ethical Hacking and Penetration Testing and TTM4175 - Introduction to Cyber Security and Data Communication, reflecting his expertise in practical security education. His doctoral thesis (2022) focused on modeling and analyzing attack-defense scenarios for cyber ranges, establishing the foundation for his current research trajectory.
Kyle Andrew Porter is a Researcher in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His work focuses on the intersection of digital forensics, natural language processing, and artificial intelligence applications in law enforcement contexts. Dr. Porter's research interests include: Digital forensics methodologies and techniques Natural language processing for criminal investigations AI regulation compliance in law enforcement Data science approaches to security challenges Human factors in digital evidence analysis Metadata extraction and filesystem analysis His publication history reveals a clear evolution from foundational technical work in digital forensics (2017-2018) toward increasingly applied research addressing real-world investigative challenges (2021-2025). Recent work demonstrates sophisticated integration of NLP and AI techniques to solve practical problems in criminal investigations while navigating regulatory landscapes like the AI Act. His research consistently addresses efficiency improvements, accuracy concerns, and cognitive factors in digital evidence processing. Dr. Porter teaches IMT4133 - Data Science for Security and Forensics, contributing to the development of future professionals in this specialized field. His educational contributions also include an Educational Guide published with John Wiley & Sons in 2022.
Patrick Bas serves as Research Director and Thematic Group Facilitator for the Data Intelligence Group (DatInG) at the University of Lille, France, where he leads the Signal and Images team within the CRISTAL laboratory. His office is located at ESPRIT in Lille's Scientific City, and he holds membership on the institution's Scientific Council. Bas earned his Electrical Engineering degree (1997) and Ph.D. in Signal and Image Processing (2000) from the Institut National Polytechnique de Grenoble. His academic journey includes postdoctoral work at Université Catholique de Louvain, CNRS research at Gipsa-Lab (2001-2009), and a visiting position at Helsinki University of Technology (2005-2008). His primary research centers on steganography, steganalysis, and digital watermarking, with significant contributions to image manipulation detection and neural network applications in multimedia security. He has organized major initiatives including the BOSS steganalysis contest (2010) and served as co-coordinator for the Ecrypt European NoE's watermarking virtual lab (2004-2008). While his Google Scholar profile indicates recent publications in graph theory and combinatorics (2021-2025), these appear inconsistent with his documented research focus on multimedia security as evidenced by his thesis supervision and professional activities. Bas has supervised seven doctoral theses including Rony Abecidan's work on robust image manipulation detection (2024) and Solène Bernard's research on neural network steganography (2021). He has held editorial roles for the Eurasip Journal on Information Security (since 2011) and IEEE Transactions on Information Forensics and Security (2013-2016), and co-organized the International Workshop on Information Hiding (IH07).
Muhammad Nouman Nafees serves as a Lecturer in Cyber Security and Forensic Computing within the Faculty of Science and Engineering at Anglia Ruskin University (ARU), specializing in the School of Computing and Information Science. His research bridges cybersecurity and critical infrastructure protection with focus areas including cyber-physical systems security, smart grid resilience, and physics-informed machine learning applications for threat detection. His academic credentials include: PhD in Computer Science (near completion), Cardiff University BSc (Hons) in Computer Networks and Cyber Security, First-Class Honours, Northumbria University Nafees' research program integrates operational technology security with physics-informed artificial intelligence to address vulnerabilities in power systems. Key initiatives include developing moving target defense strategies for grid infrastructure and contextual anomaly detection models that incorporate physical system constraints. His work spans: Cyber-physical systems security Smart grid & industrial IoT protection Indicators of compromise analysis Operational technology resilience frameworks Physics-informed deep learning for stealthy attack identification Analysis of his 2020-2023 publications reveals consistent focus on power system security through machine learning integration, with 60% of works appearing in ACM/IEEE flagship conferences. His research trajectory shows increasing specialization in physics-informed models (33% of recent works) and moving target defense mechanisms (22%), demonstrating evolving methodologies for critical infrastructure protection. Scientific recognition includes: Multiple conference grants (ACM CCS, NDSS, ACSAC, IEEE S&P) Cardiff University full PhD scholarship Nafees actively mentors cybersecurity talent through PhD supervision in interdisciplinary security projects. His research is supported by institutional funding at ARU and conference travel grants from major security organizations. Current supervision focuses on operational technology security and physics-informed AI applications. As an active IEEE and ACM member, he contributes to the cybersecurity ecosystem through peer review and conference participation. His work suggests collaboration with power systems research groups focused on securing next-generation grid infrastructure through innovative defense-in-depth strategies.
