Christoph Lange-Bever (publishing as Christoph Lange) is a senior researcher in computer science, specializing in data science and artificial intelligence, affiliated with the Fraunhofer Institute for Applied Information Technology FIT and the Chair for Information Systems at RWTH Aachen University since 2019. He leads the Data Science and Artificial Intelligence department at Fraunhofer FIT and previously headed the Knowledge Pipelines department from 2019–2021. His career spans roles at the University of Bonn, Fraunhofer IAIS, University of Birmingham (as an honorary research fellow until 2017), and University of Bremen. PhD from Jacobs University Bremen (2011) on semiformal mathematical knowledge collaboration Focus areas include knowledge engineering, semantic web, data infrastructures , and FAIR principles Applications span enterprise data integration , research infrastructures , and cross-organization data spaces His recent publications (2023–2025) emphasize FAIR data spaces , LLM integration , semantic interoperability , and knowledge graph tools . While no specific scientific awards are listed, he has co-supervised 10 PhD students and contributed to international standards (OMG, W3C). He teaches courses like Knowledge Graph Lab and Sovereign Data Exchange , blending research with practical applications for global enterprises.
Professor Monika Witzke serves as Professor for Childhood Education within the Department of Social Work and Health (SAG) at Emden/Leer University of Applied Sciences. She is actively engaged in research and teaching, with recent publications extending into 2024, and serves as contact person for several specialized research areas including the Children's Digital Laboratory (KiDiLab) and the Department of Children's Rights at the Institute for Psychosocial Counseling and Children's Rights. Her research interests focus primarily on childhood education, children's rights, moral development within family contexts, and child protection systems. Professor Witzke's work examines the complex interplay between moral education, family structures (particularly adoption and foster families), power dynamics, and children's rights frameworks. Her research employs both theoretical and empirical approaches to understand how children develop moral reasoning within diverse family environments and how protection systems can better serve vulnerable children. Professor Witzke's publication record demonstrates consistent scholarly output over the past fifteen years, with particular emphasis on moral education in family contexts, child protection systems, and the intersection of gender roles with family dynamics. Her research shows a clear trajectory from theoretical explorations of family dynamics toward more applied studies focused on child protection and digital environments for children. As contact person for the Children's Digital Laboratory (KiDiLab) and the Department of Children's Rights, Professor Witzke leads initiatives focused on contemporary challenges in children's development within digital environments and the ethical frameworks necessary for protecting children's rights. Her work bridges theoretical scholarship with practical applications in child welfare systems.
Foutse Khomh is a Professor of Software Engineering at Polytechnique Montréal where he leads the SWAT Lab on software development, deployment, maintenance and evolution of AI intensive and cloud based software systems. He holds prestigious positions as a Canada Research Chair Tier 1 on Trustworthy Intelligent Software Systems, a Canada CIFAR AI Chair on Trustworthy Machine Learning Software Systems at Mila - Quebec Artificial Intelligence Institute, and a FRQ-IVADO Research Chair on Software Quality Assurance for Machine Learning Applications. Dr. Khomh received his Ph.D. in Computer Science from the University of Montreal under the supervision of Yann-Gaël Guéhéneuc, with the Award of Excellence. He also holds a Master's degree in Software Engineering from the National Advanced School of Engineering (Cameroon) and a Master's degree (D.E.A) in Mathematics from the University of Yaounde I (Cameroon). Professor Khomh's research focuses on ensuring the reliability, fairness, and ethical alignment of machine learning-powered systems throughout their entire lifecycle. His work specifically addresses concepts of equity, fairness, diversity, identity, and social inclusion to enhance user confidence in AI applications. He is developing techniques and tools to ensure that AI applications comply with proposed regulations, particularly in sectors such as healthcare, transportation, security, and customer service. His groundbreaking research on software maintenance and evolution, particularly on the impact of developers' design decisions on software quality, has been cited more than 3,600 times according to Google Scholar. His extensive publication record shows a strong focus on trustworthy AI systems, with recent work concentrating on deep learning testing, quality assurance for machine learning systems, privacy protection in software logs, and the challenges of developing and maintaining reliable AI-powered applications. His research bridges software engineering principles with artificial intelligence to create more dependable and trustworthy systems. 2025 IEEE CS TCSE New Directions Award Arthur B. McDonald Fellowship Canada Research Chair Tier 1 on Trustworthy Intelligent Software Systems CS-Can/Info-Can Outstanding Young Computer Science Researcher Prize for 2019 Multiple IEEE TCSE Most Influential Paper (MIP) Awards Multiple Best Paper Awards at international conferences Canada CIFAR AI Chair Professor Khomh has supervised or co-supervised seven PhD students, eleven MSc students, and ten undergraduate students. Three of his PhD students were nominated for the Best PhD Thesis Award of Polytechnique Montréal, with one winning the prize for Best Computer Science and Software Engineering PhD Thesis. His research has drawn exceptional support, with over $2.5 million in research funding from diverse sources including NSERC Discovery, NSERC Discovery Supplement Award, FRQ-IVADO Research Chairs, and Mitacs. He leads the R3AI project, which received a $124.5M grant from the Canada First Research Excellence Fund to develop robust, reasoning, and responsible AI. As the leader of the SWAT Lab, Professor Khomh directs research on software development, deployment, maintenance and evolution of AI-intensive and cloud-based software systems. He serves on the program committees and editorial boards of several top international conferences and journals in software engineering, including the Editorial Board of IEEE Software. He has held leadership positions as General co-chair of FSE 2026 and SANER 2025, and has served as program co-chair for numerous conferences including SSBSE 2024, ICPC 2019, and ICSME 2018.
Nils Benit is a Research Fellow at the University of Hildesheim's Institute of Psychology, affiliated with the Faculty of Educational & Social Sciences. Holding a PhD in Psychology (2013) and an MSc with distinction (2009), he focuses on personnel selection, assessment centers, and psychological testing validity and acceptance. His work bridges academic research and corporate practice, particularly in personnel diagnostics and competency evaluation. Doctorate: University of Hildesheim (2013) - Dissertation: "You can't always have it all? Compatibility of validity and acceptance in aptitude diagnostic selection procedures" MSc: University of Hildesheim (2009) - Thesis: Validation of Volkswagen Coaching GmbH's management selection procedure BA: Berufsakademie Stuttgart-University of Cooperative Education (2005) His research interests center on improving personnel selection methods, including job-oriented general mental ability (GMA) tests, personality test acceptance across organizational and applicant perspectives, and mitigating scientist-practitioner gaps in psychological diagnostics. He explores frame-of-reference effects in testing and develops tools like the ANAKONDA job-oriented GMA test. Benit's publications address topics such as assessment center efficiency in German companies, test faking behavior, and health-oriented leadership. His awards include 3rd place for best teaching at the Institute of Psychology (WS 2010/11) and a nomination for outstanding teaching at the university level (WS 2009/10). He serves as a Deputy Senate Member (Scientific MA) and Data Protection Officer Commissioner, representing academic staff in the Departmental Commission of Department I Social and Educational Sciences.
Adam C. Powell, Ph.D. is a Lecturer in Operations and Technology Management at Boston University's Questrom School of Business . He is also President of Payer+Provider Syndicate , a healthcare consulting firm, and Senior Partner at SSB Solutions . His expertise spans healthcare economics , health informatics , and digital health , with extensive lecturing experience in Asia. Education: Ph.D. and M.S. in Healthcare Management/Economics from the Wharton School, B.S. in Management Science and Writing from MIT Affiliated Institutions: Boston University, Indian School of Business, MIT Sloan, Northeastern University, Thomas Jefferson University (Adjunct Professor with full professor rank) Dr. Powell’s research focuses on mHealth , mental health apps , and high-cost medicine . His 2024-2021 publications address lung cancer treatment , radiation therapy equity , pandemic healthcare trends , and privacy policies in digital mental health . Recent work explores genomic profiling and telepsychiatry economics . Scientific Awards & Affiliations: Co-founder, Society for Digital Mental Health Editorial Board, Discover Health Systems and Journal of Participatory Medicine As a consultant, Dr. Powell advises on healthcare operations , ROI modeling , and digital health integration . His 48+ peer-reviewed articles cover cardiology , oncology , and radiology , with a focus on technology-driven healthcare improvements and policy impacts .
Matthew A. Edwards is an Associate Professor at the Zicklin School of Business , Baruch College, CUNY , specializing in Law . He holds a J.D. from New York University School of Law and a B.A. in Political Science from SUNY Binghamton . Admitted to practice law in New York State, his work bridges legal theory, business ethics, and consumer protection. Education: B.A., Political Science, SUNY Binghamton (1990) J.D., New York University School of Law (1993) Professor Edwards' research explores legislative virtue ethics , legal reasoning , mortgage fraud , and consumer protection . His 2024 article on congressional expulsion examines virtue enforcement in legislative history, while his 2023 pedagogical work innovates in business law education. Key themes include behavioral economics , disclosure laws , and judicial interpretation . Recent scholarly trends show interdisciplinary focus on legal philosophy , consumer behavior , and ethical frameworks in business regulation. His 2025 conference presentations address behavioral business ethics and virtue-based legislative analysis . Scientific Awards & Grants: PSC-CUNY Grant (2007-2008) for 'The Virtue of Mandatory Disclosure' Professor Edwards actively contributes to legal education through publications in journals like the Emory Law Journal and Journal of Legal Studies Education , with a focus on pedagogical innovation and normative legal theory.
Luis Alfonso Martinez Giner is a Full Professor at the University of Alicante, holding the position of Catedrático de Universidad within the Department of Tax Law and Economics in the Faculty of Law. He currently serves as Vice Chancellor for Academic Organization and Faculty, a position he has held since December 2024. His academic career is deeply rooted at the University of Alicante, where he completed both his law degree (1997) and doctorate in law (2001), receiving extraordinary awards for both academic achievements. Doctor in Law, University of Alicante (2001) Degree in Law, University of Alicante (1997) Professor Martinez Giner's research focuses primarily on tax law and financial regulation, with special emphasis on international tax cooperation, legal certainty in tax procedures, public expenditure law, and budgetary stability. His scholarly work bridges theoretical legal analysis with practical tax administration challenges, particularly in the context of European integration and international tax transparency initiatives. He has made significant contributions to understanding the evolving landscape of automatic information exchange between tax authorities and its implications for taxpayer rights and banking secrecy. His publication record reveals a consistent focus on contemporary tax challenges, with particular attention to international tax cooperation frameworks, taxpayer rights in information exchange contexts, and the legal dimensions of budgetary stability requirements. Over the past decade, his research has increasingly addressed the implementation of BEPS measures, country-by-country reporting requirements, and the tension between tax transparency initiatives and traditional banking secrecy protections. Extraordinary Doctorate Award (2001) Extraordinary Degree Award (1997) Professor Martinez Giner has supervised approximately 40 Master's and undergraduate final year projects over the past five years, demonstrating his commitment to student mentorship. His research has been supported by multiple competitive public research projects, including those funded by the Ministry of Economy and Business and the Valencian Regional Government. His leadership extends to coordinating the research project 'Derechos y garantias del contribuyente en situaciones de fiscalidad internacional y comunitaria' (2009-2011). His academic leadership includes serving as Vice Dean of the Faculty of Law for Academic Organization and Studies (2016-2020), briefly as Acting Dean of the Faculty of Law (November-December 2016), and currently as Vice Chancellor for Academic Organization and Faculty. He has also contributed to significant institutional initiatives, including providing legal assistance for drafting the preliminary bill of the Valencian Community's Science and Research Law (2021-2022).
Lyndsay O'Hara is an Associate Professor in the Department of Epidemiology & Public Health at the University of Maryland School of Medicine. Her research focuses on hospital epidemiology, infection control, and epidemiologic methods in infectious diseases, with particular attention to multidrug-resistant organisms and healthcare worker safety. Education: B.Sc. in Cell Biology and Anatomy from University of Western Ontario (2006) M.P.H. in Global Health from University of British Columbia (2011) Certificate in Infection Prevention and Control from UBC Department of Pathology and Laboratory Medicine (2012) Ph.D. in Population and Public Health (Epidemiology) from University of British Columbia (2016) Postdoctoral Fellowship in Infectious Disease Epidemiology at University of Maryland School of Medicine (2018) Her research spans transmission dynamics of multidrug-resistant pathogens , emerging infectious diseases , and health systems interventions to improve infection control. Publications highlight environmental contamination, contact precautions, and healthcare-associated infection mitigation. Recent articles examine Acinetobacter baumannii and Candida auris prevalence in ICU settings, disinfectant efficacy, and comorbidities influencing COVID-19 readmissions . Methodologically, she explores standardization techniques for infection reporting and cluster-randomized trial designs. Scientific Recognition: Canadian Institutes for Health Research Banting Postdoctoral Fellowship Recipient She contributes to global health through tuberculosis risk assessments in South African healthcare facilities and evaluates correlations between infection control and hospital quality metrics.
Dr. Erke Arıbaş is a Lecturer at Istanbul Technical University's Faculty of Computer and Informatics , specializing in the Department of Computer Engineering . His research spans interdisciplinary domains including artificial intelligence, simulation modeling, and biophysics applications. Education: PhD in Computational Science and Engineering (2001-2013), Istanbul Technical University MA in Information Systems Design and Management (2001), Istanbul Technical University (Evening Education) BS in Physics (1992-1996), Istanbul Technical University BS in Physics (1996-2000), University of Missouri-Rolla His research focuses on generative AI applications , autonomous systems , and multi-phase flow simulations with thermal modeling. He has contributed to fields ranging from smart city cybersecurity to biomechanical modeling of blood flow. Article trends show expertise in AI-personality modeling integration , unmanned aerial vehicle design , and biofluid dynamics with specialized focus on red blood cell aggregation and arterial hemodynamics.
Serge Gutwirth is a Professor at Vrije Universiteit Brussel (VUB) in Belgium, affiliated with the Law, Science, Technology & Society research group and the Metajuridica/Fundamental Rights Centre. His academic career spans several decades with over 300 publications across diverse legal fields. His research focuses on the intersection of law with technology, human rights, and environmental issues. Key areas include: Privacy & Data Protection International Human Rights Legal Theory Criminal Law and Procedure Environmental Law and Commons Law & Technology Gutwirth's scholarly work demonstrates an evolving trajectory from traditional legal scholarship to contemporary issues at the intersection of law, technology, and ecological challenges. His recent publications show a particular interest in how legal frameworks interact with commons-based approaches to resource management, especially in the context of climate change. He has made significant contributions to understanding the balance between security and privacy, particularly in digital contexts. His notable scientific awards include: Francqui Chair 2019-2020: Ecologie(s) du droit IBM-Belgium award for computer science 1994 J. SEGERS award (1982-84) Sandersqualification 2002-2004 Gezaghebbend Panel voor de uitbouw van het Vlaams Academisch Bibliografisch Bestand Professor Gutwirth has supervised numerous doctoral students whose research spans privacy law, data protection, criminal justice, and environmental law. His current research projects extend until 2028, with significant involvement in EU-funded initiatives focused on data protection, cybersecurity, and the ethical use of emerging technologies. He maintains an active role in public discourse through op-eds in major Belgian media outlets, engaging with contemporary legal and societal challenges.
Andrés Chomczyk Penedo is a researcher specializing in data protection, cryptocurrency regulation, and digital policy. He is affiliated with Metajuridica and holds a postdoctoral position at the Institute of Law and Technology (Institut de Dret i Tecnologia). His work bridges legal frameworks with technological challenges, focusing on GDPR compliance, financial privacy, and sustainability in digital systems. Key Research Areas: Data Protection, Cryptocurrency, Cybersecurity, EU Policy, Biometrics, Disinformation Recent Article Trends: Andrés explores intersections of EU Green Objectives with GDPR, evaluates consent mechanisms in Latin American open finance, and analyzes cybersecurity-privacy trade-offs in financial systems. His work also addresses AI Act compliance and educational data governance. Scientific Awards: EDPS support to independent research projects (2024) Advisory & Public Engagement: Regularly presents at international conferences on topics like digital euros, financial privacy, and AI regulation. Provides expert commentary on cryptocurrency bans, NFTs, and blockchain impacts on traditional banking.
Hielke Hijmans is a Visiting Professor at the Institute for European Studies, affiliated with the Law, Science, Technology & Society department at Vrije Universiteit Brussel . His work focuses on data protection, privacy law, and the legal frameworks governing personal data within the European Union. Research interests include Data Protection European Union Law Privacy Regulation Personal Data Governance Charter of Fundamental Rights Law Enforcement Data Regulation Recent publications address supervisory authority frameworks under the Law Enforcement Directive and GDPR compliance, emphasizing legal structures for borderless data protection. His work explores the evolution of EU privacy rights over two decades and the practical implications of negotiated agreements. Activities include organizing public debates and conferences on data protection, such as the Meet the Author Series and workshops on privacy and data governance. He is actively engaged in translating EU legal principles into technical design and policy solutions.
Katja de Vries is a Senior Lecturer in Public Law at Uppsala University's Department of Law and affiliated with the Institute of Legal Informatics (SU). Her work bridges legal scholarship with technological innovation, focusing on the societal implications of artificial intelligence within European regulatory frameworks. Dr. de Vries holds a doctorate in law (Jur. dr.) and has developed an interdisciplinary research profile centered on the legal dimensions of emerging technologies. Her academic trajectory demonstrates consistent engagement with the evolving relationship between law and computational systems since her early work on profiling algorithms (2009-2010). Her research program critically examines AI's impact on fundamental rights, with current emphasis on AI-created data and voices. She leads the Swedish Research Council-funded VOICE project (2025-2030) investigating legal and societal perspectives of synthetic speech. Key thematic clusters include algorithmic transparency (counterfactual explanations in ADM systems), data governance (synthetic data and European data commons), and regulatory responses to AI (EU AI Act implementation, digital right to repair). Her scholarship uniquely combines doctrinal legal analysis with insights from computer science, ethics, and social theory. Analysis of her 15 most recent publications reveals intensifying focus on practical regulatory challenges in EU digital policy, particularly regarding AI-generated content and sustainable technology. Her work demonstrates methodological evolution from theoretical explorations of profiling (2010) toward solution-oriented research addressing contemporary legislative gaps, while maintaining critical theoretical engagement with legal personhood and algorithmic power structures. Scientific Awards: No awards were documented in the source materials. Dr. de Vries directs the VOICE research environment (Swedish Research Council 2025-2030), which examines legal frameworks for AI-generated voices through interdisciplinary collaboration. She previously contributed to EU projects including USEMP (User Empowerment for Enhanced Online Presence Management). Her policy impact is evidenced through formal opinions like the 2023 Uppsala Law Faculty statement on the EU repair directive, demonstrating translation of academic research into legislative discourse. She maintains active collaboration with researchers across computer science, social sciences, and humanities. The VOICE initiative represents her primary research infrastructure, assembling legal scholars, technologists, and social scientists to study AI voice synthesis implications. This environment facilitates her distinctive approach to technology regulation that prioritizes societal values alongside technical feasibility, particularly regarding embodiment in synthetic media and legal personhood questions emerging from creative AI applications.
Mario Nervi is an Associate Professor at the University of Genoa in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN). He teaches core electrical engineering courses including Electric and Magnetic Fields, Circuit Complements, Basic Numerical Methods and Optimization Techniques for Electromagnetic Systems, and Circuit Theory and Electrical Laboratory across bachelor's and master's degree programs. His research focuses on: HVDC transmission systems and sea/ground electrodes Electromagnetic interference mitigation in power infrastructure Computational methods for electromagnetic field analysis Optimization techniques for power systems Marine energy transmission challenges Electrode material selection and corrosion management Publication analysis reveals consistent focus on HVDC electrode design, with recent work (2023-2025) addressing offshore electrode efficiency, interference mitigation, and cost-benefit analysis of submarine systems. Earlier work (2012-2021) established foundations in computational electromagnetics, electrode material science, and deep-water installation techniques. No awards or student advising information was found in available sources. Contact via mario.nervi@unige.it with appointment-based office hours (remote or in-person).
Hanan Hibshi is an Assistant Teaching Professor at Carnegie Mellon University's Information Networking Institute within the College of Engineering. She serves as a core faculty member at CMU's CyLab Security and Privacy Institute and is affiliated with the Societal Computing program. Her work bridges cybersecurity education, usable security, and security requirements engineering with practical applications in mobile and IoT security. Education: Ph.D. in Societal Computing, Carnegie Mellon University (2018) M.S. in Information Security Technology & Management, Information Networking Institute, Carnegie Mellon University (2011) B.S. in Computer Science, King Abdul-Aziz University (2003) Hanan Hibshi's research focuses on the intersection of security, privacy, software engineering, and Human-Computer Interaction. Her work combines theories from psychology, decision science, computer security, information sciences, and AI. She specifically investigates security experts' decision-making processes, cybersecurity education methodologies, usable privacy systems, and applying machine learning to security challenges. Her research has practical applications in developing intelligent tools that better accommodate security experts' needs and improving security requirements engineering through empirical data-driven approaches. Analysis of Hibshi's publication history reveals consistent focus on security decision-making, requirements engineering, and human factors in cybersecurity. Her work demonstrates a progression from foundational studies on expert decision-making to applied research integrating fuzzy logic and AI for security assessment systems. Recent publications emphasize practical applications in cybersecurity education, particularly through platforms like picoCTF, and addressing emerging challenges in IoT security and privacy-enhancing technologies. Scientific Recognition: CMU Provost's Inclusive Teaching Fellows (2021-2022) Featured in prominent media outlets including History.com, WTAE-TV, and Yahoo Finance for cybersecurity expertise Regular reviewer for top security, privacy, and software engineering venues Hiban Hibshi actively contributes to cybersecurity workforce development through her role as a research investigator for CMU's picoCTF educational platform, which has engaged over 18,000 students globally. She has developed significant partnerships with organizations like Cisco to increase women's participation in cybersecurity competitions. Her teaching portfolio includes foundational courses in information security, browser security, and secure coding that have shaped hundreds of students' careers. Through CMU's designation as a National Center for Academic Excellence in Cybersecurity, she contributes to maintaining the highest standards for cybersecurity education and academic excellence. As part of CMU's Secure Blockchain Initiative and Summit, Hibshi collaborates with industry and academic experts to advance blockchain technology within enterprise ecosystems. Her work with the University of Nottingham on adaptive security decision support demonstrates international research collaboration focused on practical security solutions.
