جست‌وجوی استاد و پژوهشگر

• Formal Methods
• Verification of Critical Systems
• Specification of Systems
• +۹ مورد دیگر

Dr. Antonio Cau is a Senior Research Fellow at the School of Computer Science and Informatics, De Montfort University, United Kingdom, where he conducts research in the Software Technology Research Laboratory (STRL). He is actively engaged in formal methods for system specification and verification, with applications in security and critical systems. PhD, Christian Albrechts University of Kiel, Germany MSc, Eindhoven University of Technology, The Netherlands Dr. Cau's research centers on the application of formal methods—particularly interval temporal logic (ITL)—to verify and specify critical software systems. He has developed practical tools such as AnaTempura and FLCheck to support compositional verification. His work spans domains including access control, transactional memory, SQL injection prevention, and behavioral malware detection. The recent publications reflect a strong trend in applying formal logic to cybersecurity challenges, especially in runtime monitoring, policy enforcement, and industrial systems. These works demonstrate interdisciplinary integration of theoretical computer science with practical security solutions. Dr. Cau has served as a reviewer for top-tier journals such as Transactions on Computational Logic , Formal Methods in System Design , and Journal of Systems and Software , as well as conferences including TIME, CSL, and SEFM. He is a member of IEEE, ACM, and KIVI. He currently supervises several PhD students, acting as first supervisor for six and second supervisor for seven. He previously led the externally funded project Trust Management in Collaborative Systems (aToMICS) , supported by the Defence Technology Centre in Data and Information Fusion (MoD, QinetiQ), collaborating with institutions including Imperial College, BT, and QinetiQ. Dr. Cau teaches courses in rigorous systems and formal methods engineering, emphasizing mathematical precision in software development.

Michael Kirschمشاهده پروفایل

استاد

• International Taxation
• Estate & Gift Taxation
• Tax Law & Policy

Michael Kirsch is a Professor of Law at the University of Notre Dame's Notre Dame Law School, specializing in federal taxation with a focus on international issues. He has been a faculty member since 2001 and has held roles such as Associate Dean. His teaching includes courses like International Taxation and Tax Policy Seminar. Prior to academia, he practiced law in Los Angeles, clerked for the U.S. Tax Court, and served in the IRS and U.S. Treasury Department, where he contributed to international tax treaty negotiations. Education: J.D. cum laude, Harvard Law School (1988) LL.M. in Taxation, New York University (1989) A.B. summa cum laude in Economics, Cornell University (1985) His research emphasizes international tax policy, citizenship taxation, and cross-border tax issues. Key themes include the intersection of tax law with global economic integration, digital taxation, and compliance mechanisms. His work frequently addresses principles of fairness and jurisdictional challenges in a globalized economy. His scholarship spans over two decades, with notable contributions to debates on citizenship-based taxation, tax treaty interpretation, and the role of technology in tax administration. His articles highlight trends such as the evolving nature of tax compliance in the digital age and the need for coordinated international tax frameworks. Awards: 2004 and 2010 Distinguished Professor of the Year by graduating law classes He has advised on numerous international tax policy matters and has been a visiting professor at Northwestern University and Tel Aviv University. His professional experience bridges academia, government, and private practice, reflecting a deep engagement with real-world tax challenges.

Malvina Nissimمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing (NLP)
• AI Ethics
• +۳ مورد دیگر

Malvina Nissim is a Professor of Computational Linguistics and Society at the University of Groningen's Faculty of Arts, affiliated with the Center for Language and Cognition Groningen (CLCG). Her research focuses on NLP applications to societal challenges, ethics in AI, and science communication. She is actively involved in initiatives like the Sectorplan's Humane AI theme and the ACL Ethics Committee. Education: Not explicitly listed in provided texts, but her career path suggests doctoral training in linguistics/comp. ling. Research interests include multilingual NLP, bias mitigation in AI, ancient language processing (e.g., AGALMA project), and responsible tech communication. She has co-authored a popular introductory book on Computational Linguistics (in Italian). Publications span topics like dialogue systems, model uncertainty in ed tech, and cross-lingual NLP. Key awards include the 2016 UG Lecturer of the Year. Awards: 2016 Lecturer of the Year, multiple grants (e.g., CLICK-NL 800K for PAGINA project with Dagblad van het Noorden).

• Applied Linguistics
• TESOL (Teaching English to Speakers of Other Languages)
• Second Language Acquisition
• +۷ مورد دیگر

Dr. John P. Lesko is a Professor and Program Director for TESOL Programs at Colorado Christian University (CCU), within the College of Adult and Graduate Studies – School of Education Professions. He joined CCU in 2019, bringing over two decades of international and interdisciplinary experience in applied linguistics, teacher education, and workforce training. Educational Background: Ph.D. in Applied Linguistics, University of Edinburgh, Scotland M.A. in Teaching English as a Second/Foreign Language, Bowling Green State University B.S. in Communications, Pensacola Christian College B.A. in English, Pensacola Christian College Dr. Lesko's research and professional work focus on TESOL, cross-cultural communication, educational assessment, e-learning, and refugee and immigrant education . His career spans academic institutions, military training centers, and corporate environments across the U.S., Canada, South Korea, France, UAE, Oman, and Saudi Arabia. As a Fulbright Scholar and educational consultant, he has contributed to teacher development, program evaluation, and curriculum design. His recent publications reflect a strong trend toward alternative assessment methods, digital learning tools, and sociocultural dimensions of language education . Topics include portfolio assessment, e-learning platforms, cross-cultural impoliteness, and the use of Special English podcasts for independent learning. He has also contributed to major reference works on global education systems and academic integrity. Professional Service and Recognition: Fulbright Scholar Active presenter at national and international TESOL and applied linguistics conferences Conducted teacher training workshops and program evaluations across diverse educational contexts Contributor to academic encyclopedias including World Education Encyclopedia and International Encyclopedia of Education Dr. Lesko has advised on educational partnerships, corporate training programs, and policy development. His consulting work includes performance analysis, accreditation reviews, and TVET benchmarking studies. He has led initiatives in teacher training through programs such as the ESL Endorsement and TESOL Certification at Saginaw Valley State University. While no formal lab or research team is mentioned, his collaborative projects—such as the SVSU-Flint partnership and co-authored entries on Gulf education systems—demonstrate a commitment to team-based educational research and development.

• Computer Science
• Computational Linguistics
• Environmental Science
• +۳ مورد دیگر

Weihong Zhong is an active researcher with dual expertise in Computer Science (particularly large language models and controllable text generation) and Environmental Science (focusing on biodegradation of industrial pollutants like phthalate esters and plastic waste). Their work includes methodological innovations in ACL and EMNLP venues, as well as biochemical studies in Applied and Environmental Microbiology and Synthetic and Systems Biotechnology . Key collaborators include Xiaocheng Feng , Lei Huang , and Bing Qin , with whom they co-author multiple papers across NLP and environmental research. Weihong Zhong’s computational research addresses LLM hallucinations (via frameworks like RHIO, Seal, and FRONT), context window extension (through positional encoding optimization), and controllable generation (using latent space probability density estimation). In environmental science, their work focuses on degrading phthalate esters (PAEs) and plastic pollutants using bacterial consortia and enzymatic engineering. Papers like the 2024 GroundBench study and 2023 MMHalSnowball framework highlight their contributions to multimodal hallucination mitigation. Scientific awards or honors are not explicitly documented in the provided materials. Their interdisciplinary approach bridges technical innovation in AI/ML with applied biological solutions for environmental remediation, as evidenced by publications in both top-tier computational conferences and environmental journals .

• Industrial Engineering
• Supply Chain Management
• Logistics and Transportation
• +۹ مورد دیگر

Professor Eren Ozceylan is a faculty member at Gaziantep University, Faculty of Engineering, Industrial Engineering Department . He holds a PhD in Computer Engineering from Selcuk University (2013), an MSc in Industrial Engineering (2010), and a BSc in Industrial Engineering (2007). His research focuses span Supply Chain Management , Logistics and Transportation , Modeling and Optimization , and Humanitarian Logistics , with a strong emphasis on GIS-based spatial analysis , Fuzzy Logic , and Industry 4.0 technologies. Education: PhD (2013) in Computer Engineering, Selcuk University MSc (2010) in Industrial Engineering, Selcuk University BSc (2007) in Industrial Engineering, Selcuk University His work integrates Multicriteria Decision Analysis (MCDM) with Mathematical Programming , addressing challenges in Sustainable Supply Chains , Refugee Camp Location Planning , and Smart Manufacturing . Recent publications highlight applications of Blockchain for supplier selection, AI-assisted translation in logistics, and Drone-based inventory management . He has authored 25 book chapters and 125 peer-reviewed journal articles, often collaborating with researchers like Ibrahim Mirac Eliguzel, Suleyman Mete, and Cihan Cetinkaya. Scientific contributions include pioneering studies on Disassembly Line Balancing for end-of-life products, GIS-based Maximum Coverage Models for humanitarian depots, and Fuzzy AHP-WASPAS frameworks for electric vehicle charging stations. His work appears in high-impact journals such as Expert Systems with Applications , IEEE Transactions on Engineering Management , and Journal of Cleaner Production , with a focus on Q1/Q2 quartile journals and SCI/SSCI indexing . Professor Ozceylan's methodological toolkit includes Hybrid Metaheuristics (e.g., Discrete Crow Search, Beam Search), Entropy Weighting , and Spherical Fuzzy Sets . He has presented at 218 international/national conferences, addressing topics like Autonomous Systems , ERP Integration for Industry 4.0 , and AI in Last-Mile Delivery . His research bridges theoretical innovation with real-world applications in sectors ranging from Textiles to Public Transportation in Turkey-Syria border regions.

• School Psychology
• Child and Adolescent Development
• Bullying in Schools
• +۳ مورد دیگر

Karlien Demol serves as a Researcher at KU Leuven within the Faculty of Psychology and Educational Sciences, specifically affiliated with the School Psychology and Development in Context unit. She concurrently holds the leadership position of Institute Coordinator for the KU Leuven Institute for Child and Youth (LC&Y), directing interdisciplinary research on developmental processes. Her research program centers on the complex interplay between school-based bullying dynamics, teacher-student relational quality, and adolescent socioemotional outcomes. Current investigations examine identity-related bullying in primary schools through longitudinal and experimental designs, with particular focus on how teacher attributions and response patterns mediate victimization consequences. This work consistently bridges theoretical developmental frameworks with practical classroom applications. Analysis of her 15 most recent publications (2021-2025) reveals strong methodological diversity including person-centered analyses of teacher response typologies, cross-cultural validation studies, and multi-wave longitudinal tracking of victimization trajectories. Her scholarship demonstrates consistent emphasis on how teacher-student relationships buffer peer victimization effects while identifying critical windows for intervention during early adolescence. Demol actively contributes to academic infrastructure as co-promoter of the 2023-2027 project 'Beyond prejudice: Research into the role of teachers in identity-related bullying in primary school' and through membership on both the Bachelor and Master Psychology Program Committees. Her LC&Y leadership role involves coordinating research teams across developmental, clinical, and educational psychology subfields to address child welfare challenges through evidence-based approaches.

Marko Robnik Šikonjaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۷ مورد دیگر

Prof. Marko Robnik Šikonja is a Full Professor at the Faculty of Computer and Information Science , University of Ljubljana . As head of the Machine Learning and Language Technologies Laboratory , he leads research in artificial intelligence, machine learning, data mining, natural language processing, and network analytics. He has authored over 150 publications with more than 5000 citations on Google Scholar. Research Focus: Deep neural networks, model explanation, embeddings, ensemble learning, and interdisciplinary applications in healthcare (e.g., STRATIFYHF for heart failure detection) and digital humanities (e.g., Language Resources for Slovene ). Scientific Awards: ECML/PKDD 2019 Journal Track Reviewer Award 2018 Outstanding Research Achievement at University of Ljubljana 2015 Golden Medal for contributions to the university Key Projects: STRATIFYHF (2023-2027): AI for heart failure risk stratification EMBEDDIA (2019-2021): Cross-lingual embeddings for European news KAUČ (2016-2022): Slovene textbook quality improvement

• Sustainable Tourism Development
• Ecotourism
• Community-based Tourism
• +۵ مورد دیگر

Dr. Irhanida Abdul Kadir is a Senior Lecturer and Postgraduate Program Leader at UOW Malaysia KDU Penang University College, School of Hospitality, Tourism and Culinary Arts since 2009. She holds a PhD in Tourism from Universiti Sains Malaysia (2010-2014), a Master of Science in Tourism Planning from Universiti Teknologi Malaysia (2006-2008), and a Bachelor of Urban and Regional Planning (Hons) from Universiti Islam Antarabangsa (1998-2004). Her academic appointments include: Malaysia Qualification Assurance (MQA) Assessment Panel (2024-present) Internal Auditor for Ministry of Higher Education for Malaysia Research Assessment (MyRA), 2018-present UOW Malaysia KDU Penang UC Penang Research, Innovation and Entrepreneur Committee Member (2016-present) Teaching and Learning committee member (2016-present) External Assessor for SEGi College Penang, 2014-2020 Dr. Irhanida's research focuses on sustainable tourism development, with particular emphasis on: Integration of Sustainable Tourism Principles with Sustainable Development Goals (SDGs) Community-based tourism models for rural development Tourism Area Life Cycle modeling Event tourism quality and visitor experience Economic opportunities for B40 communities through tourism Her recent publications demonstrate a consistent focus on sustainable tourism development, particularly examining how tourism can contribute to poverty alleviation, environmental conservation, and community empowerment. Her work spans both theoretical frameworks and practical applications in Malaysian and international contexts, with numerous publications in high-impact journals and conference proceedings. Dr. Irhanida has received multiple awards for her work: Collaboration Award (Team/Individual) for UOW 2024 Staff Awards Research Excellent Award for UOW 2023 Staff Awards Collaboration Award for UOW 2023 Staff Awards Teaching Excellent Award for UOW 2022 Staff Awards Passion Award for UOW 2021 Staff Awards As a supervisor, Dr. Irhanida currently advises multiple Master's and PhD students in Tourism and Hospitality Management, with a focus on sustainable tourism development, rural tourism, and community-based approaches. She has secured several research grants including the UOW Advancement and Equity Grant Scheme for Research 2023 (AUD20,000.00), UOW Malaysia Internal Research Grant 2023 (RM 5,200.00), and the Fundamental Research Grant Scheme 2022 (FRGS) from the Ministry of Higher Education Malaysia (RM80,000.00). Dr. Irhanida actively collaborates with government bodies, local authorities, and stakeholders including ThinkCity, Penang Green Council, and the Penang State Legislative Assembly to develop tourism strategies that align with sustainable development principles.

• Italian Literature
• Renaissance Novella
• Translation Theory
• +۳ مورد دیگر

Petya Petkova-Staleva is an Assistant Professor in the Department of Foreign Languages and Cultures at New Bulgarian University (NBU), specializing in Italian literature and language pedagogy. With over three decades at NBU, she has taught courses spanning Italian literature history, translation practice, lexicology, and language didactics across bachelor's and master's programs including Romanistics , Italian Studies , and Linguodidactics . Her administrative roles include former directorship of Romance Studies programs and consultancy for multiple language programs. Research Focus: Her scholarship centers on Italian Renaissance novellas, examining narrative techniques in works from the 13th-17th centuries. She investigates authors like Boccaccio, Sercambi, and Parabosco, alongside studies in literary translation pedagogy and cross-cultural language acquisition. Key interests include: Evolution of the novella genre and its intersection with folklore Narratological structures in frame tales Pedagogical applications of literary texts Lexical interference in Italian-Bulgarian translation Publications: Her 40+ publications demonstrate consistent focus on Renaissance narrative forms, with recent works analyzing Counter-Reformation anthologies, didactic tales, and genre hybridity. She frequently explores how historical contexts shape storytelling conventions, using philological and comparative approaches. Professional Engagement: She has organized translation schools (TRAD NBU), led Italian Cinema Club film analyses (2018-2019), and conducted seminars for the Italian Cultural Institute. As a sworn translator, she handles specialized legal/technical texts and develops translator training methodologies.

Jingyue Liمشاهده پروفایل

استاد

• Software Engineering
• Software Security
• Software Engineering and AI
• +۲ مورد دیگر

Jingyue Li is a Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. She earned her Ph.D. in Software Engineering from NTNU in 2006 and has extensive industrial experience including positions at IBM and DNV Research and Innovation. Her educational background includes: Ph.D. in Software Engineering from NTNU (2006) Professor Li's research spans several key areas in software engineering with a focus on both theoretical and practical applications. Her work bridges traditional software engineering practices with emerging technologies, particularly in the domain of security and blockchain systems. She has conducted extensive empirical research and applied design science methodologies to develop innovative tools and approaches. Her recent publications demonstrate a strong trend toward blockchain technologies, software security, and the intersection of AI with software engineering. The research shows increasing focus on practical applications of blockchain in decentralized autonomous organizations, consensus protocols, and security vulnerabilities in smart contracts. There's also significant work on integrating security practices into DevOps (DevSecOps) and applying machine learning techniques to software engineering problems. Professor Li has received recognition through her leadership roles in major conferences: General Chair for FSE 2025 (The ACM International Conference on Foundations of Software Engineering) Member of the EASE (International Conference on Evaluation and Assessment in Software Engineering) steering committee In terms of research leadership, Professor Li has served as Principal Investigator (PI) or Key Scientist on numerous research projects including TRACE4EU (2023-2025), PaaSforChain (2020-2023), CyberSmart (2017-2020), and several others focused on blockchain, security, and software engineering. She has also conducted research visits to institutions including University College London, University of Washington, Hiroshima University, and Peking University. Her research group appears to be actively engaged in both theoretical and applied research, with strong industry connections through projects like CyberSmart and SecureCyber that address real-world challenges in cybersecurity and smart city infrastructure.

Yun Linمشاهده پروفایل

دانشیار

• Automatic programming
• Software debugging
• Software testing
• +۸ مورد دیگر

Yun Lin is an Associate Professor and Deputy Head of the Department of Computer Science and Technology at Shanghai Jiao Tong University's School of Computer Science. Prior to joining SJTU, Lin served as a Research Assistant Professor at the National University of Singapore working with Prof. Dong Jin Song. Lin leads the CoPhi ("Code Philia") research group, which focuses on the intersection of Software Engineering, AI, and Security. Lin's research spans three major areas: Automatic Programming (including code editing, software testing, and debugging), Explainable AI (focusing on representation interpretation and training data attribution), and Web Misinformation (particularly phishing and scam detection). The research has resulted in numerous tools including CoEdPilot for code editing recommendation, DeepDebugger for interactive debugging of deep classifiers, and Phishpedia for phishing webpage detection. Lin's recent publications demonstrate a strong trend toward integrating AI techniques, particularly large language models and vision language models, with traditional software engineering and security tasks. The work shows increasing sophistication in understanding project context, handling interactive nature of programming tasks, and addressing security challenges in the age of generative AI. Key themes include consistency-based approaches for anomaly detection, agent-based frameworks for complex tasks, and hybrid models that combine symbolic reasoning with neural approaches. ACM Distinguished Paper Award in ICSE'18 for "Towards Optimal Concolic Testing" Distinguished Reviewer Award in FSE'25 2nd prize Research Prototype Award in ChinaSoft'24 Lin advises a large team of PhD, Master's, and undergraduate students, with several publications co-authored with students appearing in top venues. Current research is supported by collaborations with National University of Singapore, particularly with Prof. Dong Jin Song, and includes projects on code editing, GUI testing, and phishing detection. The CoPhi group maintains active development of multiple research tools and datasets. The CoPhi research group under Lin's leadership focuses on building practical tools that bridge the gap between theoretical advances and real-world programming and security challenges. The group's work spans from fundamental program analysis techniques to applied security solutions, with an increasing emphasis on leveraging AI capabilities while maintaining explainability and reliability.

• Neuro-Fuzzy Systems
• Fuzzy Logic
• Neural Networks
• +۵ مورد دیگر

Dr. Detlef D. Nauck is a Chief Research Scientist and Technical Group Leader at BT Group's Intelligent Systems Research Centre, and a Visiting Senior Lecturer at Otto-von-Guericke University of Magdeburg's Faculty of Computer Science. His career spans both academic and industrial research environments, with significant contributions to Neuro-Fuzzy Systems and interpretable artificial intelligence. His academic foundation includes: Master's degree in Computer Science (1990) from Technical University of Braunschweig Ph.D. in Computer Science (1994) from Technical University of Braunschweig Habilitation in Computer Science (2000) from Otto-von-Guericke University of Magdeburg Dr. Nauck's research focuses on creating transparent AI systems that combine neural networks' learning capabilities with fuzzy logic's interpretability. His work addresses critical challenges in data analysis, particularly in handling mixed data types, missing values, and symbolic attributes while maintaining model transparency. He has developed practical applications across various domains where understanding decision processes is as important as the decisions themselves. His publication record shows consistent evolution from foundational work on neuro-fuzzy controllers to advanced applications in data mining and knowledge discovery. The research demonstrates a clear progression toward increasingly complex data analysis challenges while maintaining the core principle of model interpretability. Professional recognition includes: Author of the influential book 'Foundations of Neuro-Fuzzy Systems' (Wiley, 1997) Development of NEFCLASS, a widely recognized framework for interpretable classification Extensive contributions to both theoretical and applied aspects of soft computing Significant impact on the field through numerous tutorials and conference presentations Dr. Nauck maintains an active research program that bridges academic theory and industrial application. His dual affiliation allows him to contribute to practical implementations of intelligent systems at BT Group while mentoring the next generation of researchers through his academic position. He leads research in the Neural Networks and Fuzzy Systems group at Otto-von-Guericke University, accessible through their website at http://fuzzy.cs.uni-magdeburg.de, continuing to advance the field of interpretable artificial intelligence with practical relevance.

Kimberly Smirlesمشاهده پروفایل

استاد

• Gender Psychology
• Social Psychology
• Body Image
• +۵ مورد دیگر

Kimberly Smirles is Professor of Psychology at Emmanuel College, where she prioritizes student learning through active engagement, critical thinking, and community-based research. Her teaching philosophy centers on creating meaningful knowledge that prepares students for personal and professional success across coursework, faculty-student research, internships, and co-curricular activities. Her educational background includes: Ph.D. and M.A. in Psychology from the University of New Hampshire B.A. in Psychology from Boston College As an experimental social psychologist, Smirles investigates how sociocultural expectations shape self-perception and behavior, with specialized focus on gender roles, women's body image, and cross-cultural leadership perceptions. Her research examines mindfulness interventions for body image improvement, Japanese women's leadership self-efficacy, and bicultural identity among American Indian adolescents, consistently applying findings to develop real-world educational solutions. Analysis of her 15 most recent publications reveals consistent exploration of gender dynamics across diverse contexts—from intimate partner violence perceptions to transgender student experiences—while demonstrating methodological versatility through qualitative analyses, experimental designs, and cross-cultural comparisons. Her work consistently bridges academic research with community impact through service learning. Her scholarly contributions have been recognized with: Faculty Excellence in Service to the Community Award (2021) Marion and Jasper Whiting Foundation Fellowship (2017) Faculty Excellence Award in Teaching (2003) Smirles actively mentors students through hands-on research participation, resulting in numerous co-authored publications and presentations. She has secured substantial funding including Faculty Travel Grants (2004-2019), Faculty Research Grants (2011-2016), and Faculty-Student Research Grants (2004, 2006, 2011, 2013) to support collaborative investigations into gender, identity, and social justice. She directs an active research laboratory where students engage in all research phases from design to publication. Currently co-authoring the textbook Psychology of Women: A Psychobiosocial Perspective with Dr. Joan Rollins, she continues expanding her lab's focus to develop interventions improving body image and leadership efficacy for women over 40.

• Cybersecurity
• Data Protection
• Security Requirements Engineering
• +۳ مورد دیگر

Nicola Zannone serves as Associate Professor and Chair of the Data Protection research group within the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He holds a PhD in Computer Science from the University of Trento (2007), where his dissertation focused on security requirements engineering during a research visit to the Center for ... Research Focus: His work centers on cybersecurity with emphasis on data protection, phishing defense mechanisms, and access control systems. Recent investigations explore emerging threats like quishing and LLM-generated phishing attacks, autonomous navigation security, and industrial control system vulnerabilities. His research uniquely bridges technical security solutions with human behavioral factors in organizational contexts. Publication Trends: Between 2024-2025, Zannone's output demonstrates growing attention to AI-powered threats and automated vulnerability mitigation. His systematic reviews and empirical studies consistently address practical security challenges in critical infrastructure and software supply chains, reflecting industry relevance through collaborations with security practitioners. Leadership Roles: As Chief Editor for Computer Security (Frontiers in Computer Science) and Associate Editor for Cybersecurity and Privacy (Frontiers in Big Data), he shapes discourse in security research. His editorial work on topics like "Generative AI for Cybersecurity" highlights forward-looking engagement with evolving threat landscapes.