Per Lauvås is an Associate Professor at the Department of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University. His research and teaching focus on IT education, software engineering, and e-learning technologies. Key research areas include Software testing pedagogy Gamification in data modeling education Interactive web development tools Cloud computing and cybersecurity Assessment innovations in database courses Work-integrated learning for IT students Recent publications explore AI chatbots in education, employer prioritization of IT graduates, and gamified learning tools. His work emphasizes student-centered approaches and practical skill development. Contact: pelau8806@oslomet.no
Ehsan Doostmohammadi is a Researcher at the Artificial Intelligence and Integrated Computing Systems (AIICS) department of Linköping University . His work focuses on Natural Language Processing (NLP) and Language Model Optimization , with particular interest in Retrieval-Augmented Models , Multimodal Learning , and Low-Resource Language Processing for Persian and Swedish. Research Interests : Retrieval-Augmented Language Models Swedish Language Processing Persian Language Technology Medical Text Analysis Cross-lingual Transfer Learning Publications : 15 recent articles spanning 2018–2025 Key themes: AI , NLP , Language Model Efficiency
Dr. Christian Hartmann serves as an Academic Councillor and Research Assistant at the Chair of Teaching and Learning with Digital Media within the TUM School of Education since 2020. With a PhD in Educational Science from Ruhr University Bochum (2020) and prior research assistant experience at Ruhr University's Educational Psychology Chair (2015-2020), he brings extensive expertise in digital learning environments. Bachelor's & Master's in Education and History from Ruhr University Bochum Visiting scholar at Carnegie Mellon University's HCI Institute (2016) His research focuses on immersive learning technologies , including: Vicarious failure mechanisms in education Computer-supported cooperative learning (CSCL) Adaptive learning systems with VR/AR Coherence formation in multimedia environments Key publication trends show significant contributions to: Productive failure analysis (2018-2025) Social VR collaboration tools (2023) Immersive technology's impact on special education (2023) AI integration in science education (2025) As a program committee member for DELFI 2022 VR/AR Learning workshop and reviewer for journals like Learning & Instruction , he actively shapes educational technology research. His work has been presented at major conferences including EARLI (Austria 2025, Germany 2024), DGPs Congress (Austria 2025), and AERA Annual Meeting (USA 2025). Current affiliations include the European Association for Research on Learning and Instruction (EARLI) , International Society of the Learning Sciences (ISLS) , and German Society for Psychology (DGPs) . The Immersive Virtual Reality Lab at TUM School of Education serves as his primary research environment.
Coen De Roover is a Professor at the Software Languages Lab of the Vrije Universiteit Brussel , actively leading research in program analysis, software quality, and security. He chairs the Bachelor in Computer Science program and supervises a dynamic research group. Research Focus: Static/dynamic analysis, automated testing, software maintenance, AI for SE, infrastructure as code security. Projects: Bugatti (2025-2028), Cracy (2024-2027), CRPF (2024-2028), BaseCamp Zero (2022-2026), EcoPipe (2023-2025), APAX (2022-2024). Scientific Awards: MSR 2025 Distinguished Dataset Award IEEE TCSE Distinguished Paper Award (SANER 2022) ICSE 2022 Best Artifact Award SCAM 2022 Best Artifact Award Conference Leadership: General Chair of SCAM 2024, Program Co-Chair for GPCE 2024, and active in organizing summer schools on security testing.
Juan Carlos Farah serves as both a Scientific Collaborator and Lecturer at the Fribourg School of Engineering and Architecture, part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). His academic appointments indicate an active role in both research and teaching within the institution's engineering and technology programs. Dr. Farah holds a PhD in Robotics, Control, and Intelligent Systems from the École Polytechnique Fédérale de Lausanne (EPFL), a Master of Science in Computing from Imperial College London, and a Bachelor of Arts in Economics from Harvard University. This interdisciplinary background spans computer science, engineering, and economics, providing a strong foundation for his current research endeavors. His research focuses on the intersection of human-computer interaction, social neuroscience, and information theory, with particular emphasis on how artificial intelligence with anthropomorphic traits affects human behavior and learning. Farah has made significant contributions to educational technology, especially in the development and evaluation of conversational agents for learning environments. His work examines how chatbots and large language models can be effectively integrated into educational contexts to support students while maintaining pedagogical integrity. An analysis of his recent publications reveals a strong trajectory in human-AI interaction within educational settings, with increasing focus on large language models since their emergence. His research spans multiple dimensions of educational technology including code review systems, computational thinking development, and the psychological impacts of technology on learners. The interdisciplinary nature of his work connects computer science, cognitive science, and educational theory. While no specific scientific awards are mentioned in the provided documentation, Dr. Farah's research has been published in reputable journals and presented at significant international conferences in educational technology and human-computer interaction. His research methodology combines both qualitative and quantitative approaches, often conducting controlled experiments with student populations to evaluate the effectiveness of educational technologies. Farah frequently collaborates with colleagues from multiple institutions, suggesting strong interdisciplinary research networks. His work appears to focus on practical applications of technology in real educational settings rather than purely theoretical investigations. Dr. Farah's research program appears centered around developing frameworks and tools for educational technology, with particular attention to how conversational agents can be designed to support specific learning objectives. His TRACE model for educational chatbot design and work on code review notebooks represent structured approaches to integrating AI technologies into pedagogical practices while addressing the unique challenges of educational contexts.
Megan Hofmann is an Assistant Professor holding dual roles at Northeastern University's Khoury College of Computer Sciences and the Department of Mechanical and Industrial Engineering (College of Engineering). She earned her PhD in Human-Computer Interaction from Carnegie Mellon University in 2022. Her research focuses on accessibility and digital fabrication, particularly in healthcare contexts, including automated machine knitting and medical making. She leads the Accessible Creative Technologies (ACT) Lab, which develops tools like Maptimizer (custom tactile maps), OPTIMISM (collaborative optimization frameworks), and KnitGIST (generative knitting design). Her work addresses challenges in assistive technology fabrication, such as creating accessible medical devices and optimizing rapid prototyping in healthcare. Recent projects include NSF-funded research on interactive smart textiles and studies on distributed manufacturing during the COVID-19 pandemic. Hofmann’s contributions span interdisciplinary domains, blending computer science, mechanical engineering, and healthcare innovation. Grants & Awards: Recipient of a $550,000 NSF grant for smart textile tools (2024). Labs: ACT Lab focuses on inclusive digital fabrication systems.
Wei Huo is a researcher at the Institute of Information Engineering, Chinese Academy of Sciences, specializing in software security and engineering. His work focuses on vulnerability detection, program analysis, and cybersecurity across diverse systems including cloud infrastructure, firmware, and web applications. His research interests encompass Software Security , Program Analysis , Binary Analysis , and AI-driven security techniques . He develops practical tools for identifying vulnerabilities in Kubernetes ecosystems, baseband firmware, and binary code, with emphasis on real-world applicability in industrial contexts. Analysis of his publications (2019-2025) reveals a consistent focus on empirical security studies and tool development. Key trends include cloud-native security (Kubernetes), firmware analysis (printers/baseband), and AI-enhanced binary similarity detection, demonstrating progression from component-level to system-level security challenges. While no specific awards are documented in the source material, his contributions to top venues like ASE, ICSE, and ISSTA reflect significant impact in software engineering research. His work bridges academic rigor with practitioner-oriented solutions, particularly in vulnerability management and automated testing. Wei Huo actively contributes to the security research community through publications addressing critical infrastructure vulnerabilities, though details about student supervision or grant funding are not available in the provided text.
Zhenyu Chen is a Full Professor and Director of the iSE Laboratory at Nanjing University, specializing in AI-driven software testing methodologies. His research bridges artificial intelligence and software engineering with dual focus areas: leveraging AI to enhance testing processes ( AI for Testing ) and validating AI/ML systems ( Testing for AI ). His research interests center on deep learning framework testing , crowdsourced testing optimization , and Large Language Model applications in verification . Recent work demonstrates innovative approaches to metamorphic testing of neural networks, LLM-based test report analysis, and security hardening of code models against backdoors. Key contributions include the development of mooctest.com and frameworks like DevMuT for mutation testing of deep learning APIs. His publication trajectory reveals evolving focus from crowdsourced testing (2018-2020) to deep learning system validation (2021-2023) and current emphasis on LLM-powered testing solutions. Major venues include ASE, ICSE, and ISSTA where he serves regularly on program committees.
Niki Wakefield is a Senior Lecturer at the University of Portsmouth, affiliated with the Faculty of Creative & Cultural Industries and the School of Film, Media and Creative Technologies. She is also a member of the Centre for Creative and Immersive XR, where she contributes to advancing creative applications of extended reality and virtual production technologies. Her educational background includes: MA in Creative Writing, University of Surrey (2016–2018) Fellow of the Higher Education Academy (awarded 2018) Niki's research and teaching focus on the intersection of narrative and technology. Her primary research interests include: Visual effects (VFX) and photo-realistic compositing Real-time compositing and virtual production Mixed media animation aesthetics Immersive and interactive art experiences She actively explores how emerging technologies such as AI and XR can enhance creative storytelling and artistic expression. Her recent research output centers on virtual production pipelines and mixed-media animation, reflecting a strong trend toward real-time, immersive content creation. These works contribute to broader fields of digital media, creative technology, and virtual arts, with applications in film, education, and cultural exhibitions. Scientific awards and recognitions include: UK Film Festival 2018 3 Minute Script Competition (awarded 2019) Niki is deeply involved in student development and industry engagement. She teaches visual effects and compositing across undergraduate and postgraduate programs, particularly on the BSc (Hons) Computer Animation and Visual Effects course. She fosters resilience and adaptability in students by encouraging problem-solving and exploration of new specializations. She actively develops industry projects, work placements, and employment opportunities, currently collaborating with Dark Cosmos Creative to provide students with real-world client briefs. Additionally, she has served as an external advisor for the BA (Hons) Post Production and VFX program at the University of Salford and as an external examiner at the University of Suffolk. Niki leads and contributes to several innovation and research projects, including: Sprint Project: VFX in-camera workshop with Dark Cosmos Creative Enabling XR Enterprise (collaborative innovation in immersive technology and tourism) Photorealistic Asset Creation (AI-enhanced film production assets) House and Garden virtual production projects She is a key figure in the XR Network+ initiative, exploring AI and virtual production in content creation, and has presented at events such as 'Unbuilding Animated Spaces' and 'Unveiling the Silent Senses', focusing on generative art and sensory impairment.
Sarah Perret serves as Senior Lecturer in Political Science and International Relations at ESPOL (Catholic University of Lille) since 2023. She maintains dual research affiliations as Associate Researcher at King's College London and the Laboratoire de Théorie politique (CRESPPA-CNRS), while contributing to the Chair of Geopolitics of Risk at École Normale Supérieure de Paris. Her institutional roles include lead collaborator for the ANR-PrAIrie project "Artificial Intelligence at the Border" (2023) and co-leadership of Working Group 1 within the international DATAMIG network. Her academic formation features a PhD in Political Science from University of Paris-Saclay, augmented by visiting research at Georgetown University. Post-doctoral work spanned War Studies at King's College London (2019-2023) and Geography at ENS Paris (2017-2019). Teaching appointments include Paris-Saclay, Paris 2 Assas, Paris 8 Vincennes, Georgetown, ENS, King's, and Sciences Po Paris. Perret's research critically interrogates how security policies reshape borders, identity, and mobility through (non)knowledge production and digital technologies like biometrics and AI. Her work exposes the epistemic violence inherent in EU border security apparatuses, examining how datafication processes generate errors, fakes, and subjectivities that reinforce exclusionary practices. Previous investigations covered naturalization legislation, securitization of immigration law, and counterterrorism impacts on French Muslim populations. Analysis of her 2022-2025 publications reveals three dominant trajectories: (1) critical examinations of border technologies' material and epistemic effects; (2) theoretical innovations in risk geopolitization and non-knowledge regimes; (3) political economy analyses of risk capitalization. These intersect at the nexus of migration governance, data politics, and security innovation, consistently challenging technocratic border management paradigms. Her professional profile extends beyond academia through prior roles as parliamentary attaché at the French National Assembly, World Bank consultant, and ministerial advisor. Current research initiatives include the ANR-PrAIrie project on AI border applications and DATAMIG network coordination, while her institutional home at ESPOL-Lab anchors interdisciplinary security studies.
Dr. Mike Katchabaw is an Associate Professor in the Department of Computer Science at The University of Western Ontario. His research focuses on game design and development, including adaptive game systems, believable agents, algorithmic music composition, and networked game optimization. He holds a Ph.D. from Western (2002) and has been with the department since 2002. Teaching responsibilities include courses on open-source projects, software maintenance, game development, and game design. He is affiliated with the Digital Recreation, Entertainment, Art, and Media (DREAM) Group. Key research areas include psychosocial behavior modeling in NPCs, automated difficulty adjustment, and latency management in multiplayer games. Publications span over 30 refereed journal/conference papers, book chapters, and technical reports. Notable achievements include the Best Paper Award at GameOn 2011 and a patent for a flexible music composition engine. He has contributed to commercial games like 'To The Moon' and 'Animal Planet Vet Life' as a consultant/lead programmer.
Dr. Zia Ush Shamszaman is a Senior Lecturer in Computer Science at Teesside University's School of Computing, Engineering & Digital Technologies (SCEDT). He holds a PhD in Computer Science from the University of Galway and a Master's from Hankuk University of Foreign Studies. His research focuses on Cybersecurity, AI Ethics, IoT Resilience, and Game Theory applications, with a strong emphasis on bridging academic research with industry applications. Teaching responsibilities include postgraduate modules on AI Ethics, Cyber Risk Management, and Ethical Hacking, alongside undergraduate courses in Secure Data Acquisition and Ethical Hacking. He actively supervises five PhD students in cybersecurity and AI, advocating for inclusive technology education and societal impact. Professional memberships include IEEE (Senior Member), Elsevier Advisory Panel, and W3C. He has organized conferences like the International Conference on Suitable Technologies 4.0 and served on program committees for major events. Recognized for exceptional peer reviewing, he has received awards from leading journals like the Journal of Network and Computer Applications and Future Generation Computer Systems. Current projects funded by Innovate UK include CyberPathway (diversity in cybersecurity education), SafeSCMS (AI-driven supply chain security), and Opera-CyberThemis (trustworthy AI frameworks). Past industry roles include technical leadership in Bangladesh's government projects like the Machine Readable Passport system and World Bank-funded Bangladesh Automated Clearing House initiative. Shamszaman's work spans industry collaborations, academic leadership, and community engagement, with recent media contributions on GenAI governance and cyber resilience strategies. His research integrates theoretical advancements with practical solutions for SMEs, healthcare systems, and underserved communities.
Guofei Gu is a Professor of Computer Science & Engineering and holder of the Eppright Professorship in Engineering at Texas A&M University's College of Engineering. He leads the SUCCESS Lab, focusing on cybersecurity research in areas such as software-defined security, AI security, and IoT/malware analysis. His work bridges networking, systems, and applied cryptography, addressing practical security challenges. Guofei received his Ph.D. from Georgia Tech (2008) and holds prestigious awards including IEEE Fellow (2020), NSF CAREER Award (2010), and AFOSR Young Investigator Award (2013). He has published extensively in top venues like S&P, CCS, and NDSS, with over 18,000 citations. Research Interests: Network/System Security, AI Security, SDN/NFV Security, Mobile/IoT Threats, Malware Analysis, and Zero Trust Frameworks. Selected Awards: Best Paper at ASIACCS 2022 Eppright Professorship in Engineering (2020) IEEE Fellow (2020) AFOSR Young Investigator Award (2013) Labs/Teams: Director of the SUCCESS Lab, collaborating on projects like S2OS (Security OS) and FRESCO. His work emphasizes programmable security solutions for emerging technologies.
Sukalpa Chanda is an Associate Professor at the Department of Computer Science and Communication, Halden University College. His research focuses on Machine Learning with applications to Document Image Analysis, Computer Vision, and Video Image Analysis, including advanced methods like Zero-Shot Learning, Deep Learning, and Transformer Networks. PhD in Computer Science from NTNU Appointments: Postdoctoral Researcher at Uppsala University (2018-2019) and Groningen University (2016-2018) Research Interests: Chanda specializes in Zero-Shot and One-Shot Learning for document and image analysis, with applications in handwriting recognition, face generation, and biomedical imaging. His work bridges theoretical machine learning with practical implementations in cultural heritage preservation and healthcare diagnostics. Scientific Collaboration: He collaborates with institutions like Indian Institute of Technology (Pallakad/Patna) and leads the Hugin Munin Project under The Digital Society research priority area. His team includes Master’s students and research assistants working on Transformer Networks and generative models. Key Publications: Recent works include frameworks for zero-shot action recognition (T2L, 2025), Nordic manuscript writer identification (2023), and advanced medical image segmentation networks (PAANet, 2021). His research spans document analysis, deep metric learning, and biomedical applications.
Laura F. Bright is an Associate Professor of Media Analytics in the School of Advertising and Public Relations at the University of Texas at Austin's Moody College of Communication. She serves as Co-Director of the Nelson Center for Brand and Demand Analytics, a position she assumed in August 2024. Previously, she held leadership roles including Acting Associate Director (2022-2024) and Interim Associate Director (2021-2022) within her department. Bright is a graduate of UT Austin's advertising program, holding a Ph.D., M.A., and B.A. in Advertising with concentrations in New Media, Consumer Behavior, and Information Studies. Her research focuses on understanding consumer behavior within social media feeds, with particular emphasis on privacy, digital wellbeing, and data analytics. Bright's work spans social media effects, consumer behavior, digital wellbeing, and privacy, with over 20 years of professional experience in market research, interactive advertising, and social media strategy. Her research has appeared in top journals including Journal of Advertising, Journal of Business Research, and Journal of Interactive Advertising. Analysis of her recent publications shows a strong trend toward AI and big data applications in advertising, privacy concerns in digital environments, and emotional aspects of consumer engagement. Her work increasingly examines the intersection of technology adoption, consumer psychology, and ethical considerations in digital marketing. Aspiring Leaders Academy Inaugural Cohort Graduate, 2024 Provost Faculty Fellows Mentoring Program Graduate, 2023 Best Reviewer Award, Journal of Current Issues in Research and Advertising, 2021 Key Contributor in Media Analytics, Texas Health and Human Services Grant ($6,000,000), 2021-2023 "Most Influential Articles", Journal of Current Issues in Research and Advertising, 2019 Bright has successfully mentored numerous doctoral students, including Pooja Iyer and Asma Safaoui, on research projects examining AI adoption, privacy concerns, and social media effects. She has secured significant grant funding, notably contributing to a $6 million Texas Health and Human Services Grant. Beyond research, she has developed innovative curriculum and co-teaches the popular "Script to Screen Commercials" course with Matthew McConaughey, analyzing commercial campaigns for brands like Salesforce. As Co-Director of the Nelson Center for Brand and Demand Analytics, Bright leads research initiatives focused on B2B and D2C analytics, bridging academic research with industry applications. Her work connects academic insights with practical applications in advertising and marketing analytics.
