Engin Kirda is a researcher at the Department of Distributed Systems , Vienna University of Technology . His work focuses on Network Security , Malware Detection , and Web Security , with a particular emphasis on Malware Analysis , XSS Prevention , and Botnet Detection . He has led and contributed to projects such as WOMBAT , SECoverer , and SysSec , funded by entities like the Austrian Research Promotion Agency (FFG) and the European Commission . Research Areas : Network Security, Malware Analysis, Web Application Vulnerabilities Key Projects : WOMBAT (2008–2011), SECoverer (2008–2011), SysSec (2010–2014) His publications highlight advancements in automated malware analysis , phishing detection , and web spam mitigation . He has mentored students in topics including Android security , CSV Attack Prevention , and Malware Threat Landscapes .
Dr. Benedikt Lorch is a researcher currently affiliated with the Security and Privacy Lab at the University of Innsbruck, Austria. His professional journey includes roles as a Postdoctoral Fellow (2023–2024) and Research Assistant (2022–2023) at the same institution, preceded by research and academic roles at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, including a Ph.D. in Computer Science (2018–2023) focused on cybercrime and forensic computing. He has also held visiting researcher positions at Dartmouth College (USA) and Imperial College London (UK). His research interests center on steganography, steganalysis, multimedia forensics, and machine learning applications in digital security. Notable work includes analyzing JPEG image directionality for security implications, improving steganalysis techniques using leaked cover thumbnails, and developing reliable machine learning models for forensic image analysis. His contributions address challenges in digital forensics, such as detecting image tampering, authenticating multimedia content, and enhancing degraded license plate recognition. Key academic awards include the ASQF award for outstanding studies (2019) and a DAAD scholarship for international research (2017). His work spans projects like UNCOVER and emphasizes compliance with regulations like the Artificial Intelligence Act in forensic analysis. Beyond technical contributions, Lorch has explored medical imaging applications, including motion artifact detection in MRI and heart rate estimation using wearable sensors. His research trends reflect a focus on leveraging probabilistic methods and deep learning to enhance forensic reliability, with a particular emphasis on JPEG-based steganalysis and digital image security. Collaborations with institutions like the Pattern Recognition Lab and Biomedical Image Analysis Group highlight interdisciplinary engagement in computer science and medical imaging.
Ricardo Baeza-Yates serves as Director of Research at the Institute for Experiential AI at Northeastern University's Silicon Valley campus. He also maintains part-time professor positions at Universitat Pompeu Fabra in Barcelona and Universidad de Chile in Santiago. Previously, he was VP of Research at Yahoo Labs (2006-2016) and CTO of NTENT, a semantic search technology company. His academic career spans over three decades with significant contributions to both industry research and academia. Dr. Baeza-Yates earned his Ph.D. in Computer Science from the University of Waterloo, Canada, in 1989. His academic journey includes professorships at Universidad de Chile (1989-2004), ICREA Professor at Universitat Pompeu Fabra (2004-2005), and ongoing part-time appointments at both institutions since 2004 and 2006 respectively. His research spans algorithms, information retrieval, web search and mining, data science, with increasing emphasis on responsible AI and ethical considerations in technology. He is particularly renowned for his work on bias in search systems, algorithmic fairness, and the societal impacts of AI. His expertise uniquely bridges technical aspects of search and data mining with ethical and societal implications, making him a leading voice in the responsible AI movement globally. His recent scholarly output demonstrates a strong focus on bias detection, fairness metrics, responsible technology development, and the societal impacts of algorithms. The work spans technical machine learning and information retrieval while increasingly addressing ethical and social dimensions across diverse application areas from finance to healthcare to social media. Dr. Baeza-Yates has received numerous prestigious awards throughout his distinguished career: 2019 Corresponding Member of the Brazilian Academy of Sciences 2019 Award Salvà i Campillo to the Person of the Year 2018 National Research Award for applied research and technology transfer 2012 ASIS&T Best Information Science Book Award for Modern Information Retrieval 2011 IEEE Fellow for contributions to computer science development 2009 ACM Fellow for contributions to information retrieval algorithms 2002 Corresponding member Chilean Academy of Sciences As an educator and mentor, Dr. Baeza-Yates has advised numerous students throughout his academic career at multiple institutions. His textbook 'Modern Information Retrieval' has become a standard reference in the field, influencing generations of computer scientists. He has secured significant research funding through his leadership roles at Yahoo Labs and academic grants, demonstrating his ability to bridge theoretical research with practical applications. Dr. Baeza-Yates is actively involved with the DATA Lab at Northeastern University's Khoury College of Computer Sciences and previously founded the Web Science and Social Computing Research Group at Universitat Pompeu Fabra. He serves on multiple high-impact advisory boards including the Global AI Ethics Consortium, Global Partnership on AI, and IADB's fAIr LAC Initiative for Latin America and the Caribbean, reflecting his global influence in shaping responsible AI practices.
Petter E. Bjørstad is a Professor of Computer Science and Mathematics at the University of Bergen, Norway, where he has served as Head of the Department of Informatics since 2010. Previously, he was Director of the Bergen Center for Computational Science (2000-2010) and Professor in both the Department of Mathematics (2006-2010) and Department of Informatics (1985-2005). He also held a position as Professor of Mathematics at the University of Minnesota during 1996-1997 on unpaid leave from Bergen. Dr. Bjørstad earned his PhD in Computer Science from Stanford University in 1980, following which he completed a postdoctoral fellowship at the Courant Institute of Mathematical Sciences at New York University. Before entering academia, he worked as a Principal Engineer at Det Norske Veritas from 1981-1985. Dr. Bjørstad's research focuses on numerical analysis and high-performance computing, with particular expertise in domain decomposition methods, parallel algorithms for elliptic partial differential equations, and scientific computing. His work bridges theoretical mathematics with practical computational challenges, especially in industrial applications. He has led significant research projects including 'Multiscale Domain Decomposition: Algorithms and Analysis' (2010-2014), funded by the Research Council of Norway and the University of Bergen. His publication record demonstrates consistent contributions to the field of numerical methods and parallel computing over several decades. The research trends show a strong focus on developing efficient algorithms for solving partial differential equations through domain decomposition techniques, with applications spanning structural analysis, reservoir simulation, semiconductor device modeling, and other industrial contexts. His work increasingly emphasizes practical implementation on modern parallel architectures including SIMD and MIMD systems. Large number of research grants from Norway and the European Union Dr. Bjørstad has been actively involved in mentoring students and collaborating with industry through projects like the Europort effort, where industrial codes were ported to parallel computing platforms. His laboratory for parallel computing (Parallab) has been instrumental in advancing practical applications of high-performance computing since its establishment in 1985 with Europe's first 64-processor Intel hypercube. The lab has evolved to include multiple MIMD machines including an Intel Paragon, Parsytec GC/Power-Plus, and DEC α-cluster. As Head of the Department of Informatics, Dr. Bjørstad leads one of Norway's premier computing research units with expertise spanning theoretical computer science, numerical methods, and practical applications in various scientific domains. His leadership has helped establish Bergen as a significant center for computational science in Europe.
Austin Burt is a Professor of Evolutionary Genetics at Imperial College London , specializing in genetic mechanisms with applications in pest control and disease vectors. His career at Imperial spans since 2005, preceded by roles as Reader (2000–2005) and Governors' Lecturer (1995–2000). Research focuses on evolutionary genetics, gene drive systems, and population modeling for public health applications. Principal Investigator of Target Malaria , an international consortium developing genetically modified mosquitoes to eradicate malaria. Honors and Awards : President’s Medal for Excellence in Societal Engagement (2017) Cozzarelli Prize from PNAS (2012) Wolfson Research Merit Award (2011–2016) Institute of Zoology Science Medal (2000) His 2012 PNAS paper on music evolution demonstrates interdisciplinary work combining genetics and social sciences. Current work emphasizes self-sustaining gene drive technologies for mosquito population control.
Dr. Regino Criado is Full Professor of Applied Mathematics at Rey Juan Carlos University (URJC), where he has held academic positions since June 2000. He currently serves as Academic Director of the Data, Complex Networks and Cybersecurity Sciences Institute (since March 2017) and was elected to the Academia Europaea in May 2023. His career spans European research projects (ESPRIT II/III) and interdisciplinary collaborations at the intersection of mathematics, computer science, and cybersecurity. His research focuses on Complex Networks , including hyper-networks, multiplex networks, and mesoscale structures, with applications to cybersecurity, intentional risk management, and synchronization phenomena. Key innovations include: A game theory-based intentional risk model integrating accessibility, anonymity, and value metrics Hybrid network mining algorithms for credit card fraud detection PageRank extensions to multiplex networks Framework for discrete resilience analysis in technological systems His work on the 2014 Physics Reports monograph The structure and dynamics of multilayer networks (3,500+ citations) established foundational concepts in multilayer network theory. Current research explores linguistic pattern analysis through multilayer hypergraphs for automatic text summarization. Member of Academia Europaea (2023) Chaos Journal Best Paper Award (2011) Academic Entrepeneurs Prize (2002) EUROPA-1992 Prize (1992) As director of the DCNC Institute (2017-present) and BBVA-URJC Chair (2017-2018), he has led major academic-industry collaborations. His 180+ publications (6,500+ citations) demonstrate sustained impact across network science, applied mathematics, and cybersecurity.
Cem Ersoy is a Professor at Bogazici University 's Department of Computer Engineering, with a career spanning over 30 years. He has held visiting positions at the University of Trento, Italy, and previously served as Department Head at Bogazici University multiple times. Education : Ph.D. in Electrical Engineering (Polytechnic University, 1992), M.S. in Electrical Engineering (Bogazici University, 1986), B.S. in Electrical Engineering (Bogazici University, 1984) His research focuses on computer networks , pervasive computing , edge computing , and wireless networks . Recent work highlights AI integration in air computing, stress monitoring with wearables, and edge network optimization. Articles span applications of multi-agent DRL, probabilistic tracking, and network slicing. Scientific awards : Elected to the Academy of Sciences of Turkey (2022) Bogazici University Research Excellence Awards (Junior 2007, Senior 2014) He has supervised 24 PhD and 58 MS theses. As principal investigator, he led 35 funded research projects by agencies such as the EU, TUBITAK, and Bogazici University Research Fund. His Google Scholar profile shows 11,856 citations, h-index 43, and i10-index 130.
Javier Esparza is a Professor at the Technische Universität München, holding the Chair of Foundations of Software Reliability and Theoretical Computer Science since 2007. Prior to this, he held chairs at the University of Stuttgart (2003-2007) and the University of Edinburgh (2001-2003), along with academic positions dating back to 1990. Education: M.S. in Theoretical Physics (1987, University of Zaragoza), Ph.D. in Computer Science (1990, University of Zaragoza), and Habilitation in Computer Science (1994, University of Hildesheim). His research focuses on formal verification, distributed systems, and software reliability, particularly through algorithms for software model checking, logic and automata theory, and analysis of probabilistic systems. His work has been supported by numerous grants from the German Research Council (DFG), British Engineering and Physical Sciences Research Council (EPSRC), and the Humboldt Foundation. Scientific Awards: Doctor honoris causa from Masaryk University (2009), TeachInf Awards for best Bachelor and Master courses (2009, 2010), TU München Diploma for excellent teaching (2011), Member of Academia Europaea (2011), and Dissertation Prize from the University of Zaragoza (1990). Esparza has supervised over 15 PhD students, including Dr. Stefan Schwoon, Dr. Claus Schröter, and Dr. Michael Luttenberger, and collaborated on research projects with institutions across Europe and the UK.
Gil Isabel Capeloa is a Full Professor of Culture Studies at the Universidade Católica Portuguesa (UCP) and currently serves as its Rector. She is also President of the International Federation of Catholic Universities and Chair of the Humanities panel at the Danish Research Council. Her academic journey includes leadership roles as Vice-Rector for Research and Internationalization (2012–2016) and Dean of the School of Human Sciences (2005–2012). Education: B.A. in Modern Languages (University of Lisbon, 1987), M.A. in German Studies (University of Lisbon, 1992), PhD in German Language and Culture (UCP, 2001) Research Focus: Interdisciplinary exploration of culture, arts, and conflict; visual culture analysis; gender studies; surveillance and societal control Her work bridges cultural theory , interarts studies , and conflict analysis across over 182 publications. She founded the Research Centre for Communication and Culture (CECC) and leads its Culture, Art and Conflict (CAC) group. Recent academic output examines post-theoretical frameworks, Beyoncé's cultural impact, and visual disaster narratives. Scientific Recognition: Doctor Honoris Causa from ACU (2022), ICP (2021), Boston College (2019) Distinguished Alumni Award (University of Lisbon, 2019) Fulbright Scholar (2001), DAAD Fellow (2009), FLAD Scholarship (2008) Visiting professor at Stanford, LMU Munich, and National University of Ireland Prof. Gil actively consults for international research foundations and evaluates global educational initiatives, while maintaining extensive editorial contributions to her field.
Dr. Martin Charles Golumbic is a Professor of Computer Science and former Director of the Caesarea Edmond Benjamin de Rothschild Institute for Interdisciplinary Applications of Computer Science at the University of Haifa. He previously held positions at IBM Research, Columbia University, Bar-Ilan University, and others. His research focuses on algorithmic graph theory, combinatorial mathematics, and artificial intelligence. PhD in Mathematics (Columbia University, 1975) M.A. and B.S. in Mathematics (Pennsylvania State University, 1970) Research interests include perfect graphs, temporal reasoning, constraint scheduling, and discrete applied mathematics. He has authored influential books such as *Algorithmic Graph Theory and Perfect Graphs* and *Fighting Terror Online*. His work bridges theoretical computer science with real-world applications in AI and security. Awards include the EurAI Fellowship (2005), Lifetime Achievement Award from the Israeli AI Association (2019), and membership in Academia Europaea (2013). He has supervised 5 PhD students and 21 M.Sc. students, along with 18 postdocs. Key contributions include editorial roles at *Annals of Mathematics and Artificial Intelligence*, patents in instruction scheduling, and leadership in over 50 international conferences. His interdisciplinary work at the Caesarea Rothschild Institute integrates computer science with other fields.
Georg Gottlob is a Professor of Informatics at the University of Oxford and an Adjunct Professor at Vienna University of Technology (TU Wien). He is a Fellow of St John's College, Oxford, and focuses on algorithms and complexity in areas like database theory, constraint satisfaction, and computational logic. His work bridges theoretical foundations and practical applications, including web data extraction and quantitative finance. Education: Engineer and Ph.D. in Computer Science from TU Vienna (1979, 1981) Previous Positions: Full Professor at TU Vienna (1988-2006), Director of Christian Doppler Laboratory for Expert Systems (1989-1996), McKay Professor at UC Berkeley (1999) Research Interests: Gottlob specializes in graph/hypergraph-based problem decomposition methods for tractable instances of NP-hard problems, with applications in database query optimization, constraint satisfaction, and combinatorial auctions. His work spans database theory, AI, and computational complexity. Article Trends: Recent publications emphasize knowledge graph construction from financial data (2022), complexity analysis in logical frameworks (2021), and foundational work in guarded existential rules (2014). Themes include AI-driven data extraction, computational complexity, and logic programming. Scientific Awards: Fellow of the Royal Society (2010) Ada Lovelace Medal (2017) Wittgenstein Award (1998) Honorary Doctorates (University of Calabria, Klagenfurt) Advising and Leadership: Supervised numerous students and directed industry-funded projects like the Christian Doppler Laboratory. Co-founded Lixto Corporation and established the Oxford-Man Institute of Quantitative Finance (2006). Served as Editor-in-Chief of Artificial Intelligence Communications and on editorial boards of major journals.
Kim Guldstrand Larsen is a Full Professor in Computer Science at Aalborg University, Denmark, a position he has held since 1993. He serves as director of CISS, the Centre for Embedded Software Systems, a national center of excellence bridging industry and research since 2002, and holds leadership roles in multiple international research initiatives. His academic credentials include a Cand.Scient. in Mathematics and Computer Science from Aalborg University (1982) and a PhD in Computer Science from Edinburgh University, Scotland (1986). His career includes visiting professorships at institutions including Uppsala University, École Normale Supérieure in Cachan, and University of Twente. Professor Larsen's research centers on modeling, verification, and performance analysis of real-time and embedded systems, with foundational contributions to concurrency theory and model checking. Since 1995, he has led development of UPPAAL, a widely adopted verification tool, and co-founded UP4ALL International. His work spans theoretical foundations to practical applications in cyber-physical systems. His publication portfolio exceeds 200 peer-reviewed papers and 12 software tools, with his research showing consistent focus on formal methods for real-time systems evolving toward quantitative analysis and cyber-physical applications, as evidenced by his H-index of 58 (highest in Denmark for Computer Science). Honorary Doctor (Honoris causa), Uppsala University (1999) Danish Citation Laureates Award (2005) Thomson Scientific award as most cited Danish Computer Scientist (1990-2004) Ridder af Dannebrog (Knight of the Order of the Dannebrog) (2007) Honorary Doctor (Honoris causa), Ecole Normal Superieure De Cachan, Paris (2007) Professor Larsen currently supervises 7 PhD and 7 post-doc students, having previously guided over 20 PhD and 12 post-doc researchers to completion. His significant research funding includes leadership of the DaNES project, VKR Center of Excellence MT-LAB, national ICT Innovation Network InfinIT, and the Danish-Chinese Basic Research Center IDEA4CPS. He leads the Modeling and Validation Cluster within the EU/IST Network of Excellence ARTIST Design and directs multiple research centers focused on embedded software systems, maintaining active roles in editorial boards, conference steering committees, and national research councils.
Nenad Mladenovic is a Professor at the Faculty of Organizational Sciences, University of Belgrade, and holds concurrent roles including Reader at Brunel University-London (United Kingdom) and Research Professor at the Mathematical Institute of the Serbian Academy of Sciences. His academic journey includes senior positions in institutions across Serbia, Canada, and the UK, with extensive visiting professorships in France, Canada, Hong Kong, and Spain. Professional Background: 2007–Present: Professor, Faculty of Organizational Sciences, University of Belgrade 2005–Present: Reader, School of Mathematics, Brunel University-London 2002–Present: Research Professor (Scientific Chancellor), Serbian Academy of Sciences Research Focus: His work centers on metaheuristic methods (e.g., Variable Neighborhood Search, Tabu Search) in combinatorial and global optimization, numerical algorithms, and mathematical programming. Applications span operational research, facility location, clustering, and data mining. Key Achievements: A prolific contributor with over 69 citation index (G-index 69), he is Coeditor-in-Chief of an international journal and holds editorial roles in ~10 journals. Awards include Fellowships from the Academy of Nonlinear Sciences (2008) and Scientific Society of Serbia (2003). He led major research projects, including one funded by the Serbian Ministry of Science (2002–2005). Grants & Collaboration: Secured grants from EPSRC (UK), NSERC (Canada), and CNRS (France). Coordinated over 20 industrial projects, emphasizing applied mathematics and optimization solutions.
Professor Luiz Moutinho is a globally recognised authority in marketing and futures research, currently serving as Visiting Professor of Marketing at Suffolk Business School, University of Suffolk (UK), Marketing School (Portugal), and as Adjunct Professor of Marketing at the Graduate School of Business, University of the South Pacific (Fiji). Over a 31-year professorial career he has held the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow (1996-2015), the world’s first Chair in BioMarketing and Futures Research at Dublin City University (2015-2017) and visiting appointments at 27 universities worldwide. Education PhD, University of Sheffield, 1982 MA, BA, FCIM (Chartered Institute of Marketing) Research Interests Professor Moutinho’s work sits at the intersection of marketing, neuroscience and artificial intelligence. His current research clusters around: Futures research & marketing foresight : scenario planning, evolutionary algorithms, algorithmic self Neuro & biometric marketing : wearable emotion-detection devices, fMRI/EEG studies, eye-tracking AI & decision modelling : artificial neural networks, machine learning for consumer choice Tourism & services marketing : destination choice modelling, luxury hospitality pricing He has authored 155+ refereed journal articles and 34 books, generating 14,050+ Google Scholar citations (h-index 55, i10-index 196 as of January 2020). Scientific Awards & Recognition 2017 Professor Honoris Causa, University of Tourism and Management Skopje 2018, 2006, 2003, 2001, 1997, 1996 Emerald Literati / ANBAR Highly Commended / Outstanding Paper Awards 1998 Martin Oppermann Memorial Best Article of the Year Award 1998 Best in Research Award, Portuguese Marketing Management Institute 2015 External Member, Hellenic Open University International Research Fellowships at Neurolab (Finland) and DACC Lab (Macau) Doctoral Programmes & Editorial Leadership Professor Moutinho directed doctoral programmes at: Confederation of Scottish Business Schools (1987–1989) Cardiff Business School (1993–1996) University of Glasgow Doctoral Programme in Management (1996–2004) He is the founding editor-in-chief of the Journal of Modelling in Management (JM2) , co-editor-in-chief of the Innovative Marketing Journal , associate editor for five additional journals and serves on the editorial boards of 50 international academic journals.
Professor Johann de Bono is a world-leading clinician-scientist at The Institute of Cancer Research (ICR), an independent college of the University of London, and the Royal Marsden Hospital (RMH). He serves as Head of the Division of Clinical Studies and co-founded/leads the Royal Marsden Drug Development Unit and ICR/RMH Experimental Cancer Medicine Centre team. His research focuses on prostate cancer, with groundbreaking work in biomarker-driven clinical trials, DNA repair defects, and targeted therapies. Developed PARP inhibitors (talazoparib, niraparib, olaparib) for advanced prostate cancer Transformed international guidelines for germline testing in prostate cancer Established molecular stratification frameworks for prostate cancer treatment His clinical trials revolutionized prostate cancer care, with key contributions to abiraterone, cabazitaxel, enzalutamide, and lutetium PSMA therapies. Publications span top-tier journals including Nature, Science, Cell, NEJM, and The Lancet. 2020 - Elected Fellow of the Royal Society of Biology 2018 - AACR Joseph H. Burchenal Memorial Award 2016 - Regius Professor of Cancer Research 2012 - AACR Team Science Award 2011 - ESMO Award He founded and leads the RM Prostate Cancer Targeted Therapy Group team, with a research focus on genomic landscape mapping of advanced prostate cancer and circulating biomarker applications.
