جست‌وجوی استاد و پژوهشگر

• Accountable AI Systems
• Internet of Things (IoT)
• Data Provenance
• +۱۲ مورد دیگر

Dr. Milan Markovic is an Interdisciplinary Fellow at the School of Natural and Computing Sciences, University of Aberdeen, where he conducts research at the intersection of computing, sustainability, and societal impact. He is actively involved in teaching, supervising PhD students, and leading interdisciplinary research projects focused on transparency, accountability, and trust in intelligent systems. His research spans several key domains, including accountable AI, data provenance, IoT governance, and sustainable agri-food systems. He investigates how technologies like AI, blockchains, and semantic web can support transparent and ethical digital infrastructures. His work emphasizes real-world applications in healthcare data governance, smart cities, and environmental sustainability. The recent publications highlight a strong trend toward developing tools and frameworks for transparency and accountability, such as the Transparent Emissions Calculation (TEC) Toolkit, Farm Explorer, and semi-automated provenance tracking in Trusted Research Environments. These works integrate knowledge graphs, federated learning, and blockchain to ensure verifiable, auditable, and sustainable digital systems. Dr. Markovic has contributed to numerous collaborative research initiatives, including EATS (Enhancing Agri-Food Transparent Sustainability) and SARA (Semi-Automated Risk Assessment), which aim to improve data governance and sustainability in complex socio-technical systems. He supervises PhD students in computing science and collaborates with interdisciplinary teams across academia and industry. His leadership in projects like RAInS, TrustLens, and PROoFD-IT demonstrates a long-standing commitment to building trustworthy IoT and AI ecosystems. These projects explore user empowerment, data transparency, and compliance in digital systems, particularly in food safety, healthcare, and urban environments. He is affiliated with the Department of Computing Science and contributes to both theoretical and applied research, with a strong emphasis on open, reproducible, and socially responsible computing.

Martin Paul Eveمشاهده پروفایل

استاد

• Contemporary American Fiction
• Histories and Philosophies of Technology
• Scholarly Publishing Technology
• +۳ مورد دیگر

Professor Martin Paul Eve holds the position of Professor of Literature, Technology & Publishing at Birkbeck, University of London, where he also serves as Strategic Lead for Digital Education and Disability Lead for English, Theatre, and Creative Writing. He previously lectured at the University of Lincoln and the University of Sussex, completing his PhD there in 2013. Education: PhD (University of Sussex, 2013), MA (Queen Mary, 2009), BA (Queen Mary, 2008) Visiting roles: Visiting Professor of Digital Humanities at Sheffield Hallam University His research focuses on contemporary American fiction (Pynchon, DeLillo, Egan), technology's role in scholarly publishing, and open access policies. He has pioneered initiatives like the Open Library of Humanities and advised numerous organizations including the UK Parliament and Jisc. Key contributions include critical works on disability advocacy, digital preservation, and publishing ethics. Recent publications analyze AI's impact on academia, shadow libraries, and sustainable funding models for open access. His work bridges literary criticism and technical infrastructure, emphasizing equity and accessibility. Awards: Philip Leverhulme Prize (2019), KU Leuven Medal (2018), Shaw Trust Disability Power 100 (2021) Grants and leadership: Over £2M secured for Open Access initiatives; steering roles in OAPEN-UK, SCONUL, and the Open Knowledge Foundation. Active in policy-making through House of Commons evidence submissions and global advisory boards. Technical leadership at MESH Research (Knowledge Commons) drives infrastructural innovation. Collaborative projects include the COPIM collective and Humanities Book Infrastructure advisory work.

Rory Fitzgeraldمشاهده پروفایل

استاد

• Survey Methodology
• Cross-national Survey Research
• Questionnaire Design
• +۷ مورد دیگر

Professor Rory Fitzgerald is a leading academic and the founding Director of the European Social Survey European Research Infrastructure Consortium (ESS ERIC), hosted at City, University of London , where he is affiliated with the School of Health & Psychological Sciences and the Centre for Comparative Social Surveys . He has played a pivotal role in establishing ESS as a landmark social science infrastructure in Europe. Education: DPhil in Sociology, City, University of London (2016) MSc (Econ) in European Politics, University of Wales (1996) BSc (Econ) in Politics, University of Wales (1995) Research Interests: Professor Fitzgerald specializes in cross-national survey methodology , with deep expertise in questionnaire design, pre-testing, non-response issues, and the integration of web-based survey panels. His work emphasizes methodological rigor and cross-cultural comparability in large-scale social surveys. He has pioneered innovations in probability-based online panels and mixed-mode data collection across Europe. Publications & Research Trends: His recent publications reflect a strong focus on measurement quality , error source typology , health inequalities , democratic attitudes , and data harmonization . The ESS, under his leadership, supports over 185,000 data users and has generated nearly 4,500 scholarly publications, making it one of the most impactful social science infrastructures in Europe. Scientific Awards: Descartes Prize (2005) for excellence in collaborative scientific research ESS recognized as a landmark research infrastructure by ESFRI (2016) Grants and Enterprise: Fitzgerald coordinated two Horizon 2020 grants totaling over €10 million in 2015 and secured a €5 million grant in 2019 to support ESS sustainability and launch a 12-country harmonized web panel (CRONOS). ESS ERIC operates with an annual central budget of €2.4 million. He also co-organizes a Methods Seminar Series with NatCen, fostering collaboration between academics and practitioners in survey research. Labs and Teams: He leads the ESS Core Scientific Team (CST) and the ESS National Coordinators Forum , working closely with the General Assembly and scientific advisory boards. The ESS infrastructure spans 27 member countries and conducts biennial surveys across up to 34 European nations.

Tillman Weydeمشاهده پروفایل

عضو هیئت علمی

• Machine Learning
• Signal Processing
• Data Analysis
• +۵ مورد دیگر

Dr. Tillman Weyde is a Reader in the Department of Computer Science at City, University of London , where he has been employed since 2021. He leads the Machine Intelligence and Media Informatics Research Group and is a member of the Machine Learning Group . Prior to this, he served as Senior Lecturer (2009–2021) and Lecturer (2005–2009) at City, and worked as a researcher at the University of Osnabrück (2001–2005), coordinating the MUSITECH project. His academic background includes PhD in Music Technology (2002), MSc in Computer Science (1999), and MSc in Mathematics, Music, Philosophy & Pedagogy (1994), all from the University of Osnabrück. Research Focus: Machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security, and education. His recent work emphasizes inductive biases in neural networks for rule-learning, extrapolation, generalization, and interpretability. Grants & Projects: Principal Investigator for the AHRC-funded Digital Music Lab (2012–2017) and Integrated Audio-Symbolic Model of Music Similarity (2017–present). Co-investigator in Innovate UK and EPSRC projects on safer gambling ( Advancing Consumer Protection , 2015–2018) and Raven (2012–2021). Collaborations: Affiliated with the Institute of Cognitive Science (Osnabrück), Intelligent Systems Research Laboratory (Reading), and the MPEG Ad-Hoc Group on Symbolic Music Representation. Awards: Co-author of the 2000 Comenius Medal-winning educational software Computer Courses in Music Ear Training and co-editor of the Osnabrück Series on Music and Computation . Publications: Over 150 peer-reviewed works including conference papers, journal articles, and book chapters, focusing on interdisciplinary applications of machine learning in music, health, and finance. Students: Supervised 13 PhD students across topics like grammar bias in neural networks, emotion recognition from audio, extrapolation behavior in neural networks, relation-based patterns, legal text parsing, and more.

• Business Process Management
• Information Systems
• Petri Net Modeling
• +۳ مورد دیگر

Andreas Oberweis is a Professor at the Karlsruhe Institute of Technology (KIT), Germany, with a distinguished career in business process management, information systems, and process modeling. His work spans interdisciplinary collaborations, focusing on integrating formal methods like Petri nets with practical applications in digital identity, privacy, and educational technology. Key research areas include Business Process Management, Information Systems, Petri Net Modeling, Semantic Web, and Process Mining. He has contributed to methodologies like MEUSec for enhancing user experience and security in digital identity wallets, and frameworks for automated assessment of modeling competencies. Publications highlight innovations in process model similarity, social network coordination, and 3D business process visualization. His recent work emphasizes user-centric security and multimodal mobility optimization. Collaborations involve institutions like KIT, University of Rome, and Queensland University of Technology, with co-authors such as Peter Loos, Ralf Reussner, and Agnes Koschmider. He has developed tools like INCOME2010 for process-oriented systems and contributed to open models for enterprise systems. Despite no explicit awards listed, his 18+ years of continuous publication in top venues (BPM, EMISA, Modellierung) underscore his academic impact.

• Requirements Engineering
• Agile Software Development
• Security Requirements
• +۳ مورد دیگر

Maya Daneva is a Professor at the University of Twente , Netherlands, specializing in Requirements Engineering , Agile Software Development , and Software Security . She has extensive contributions to empirical studies on quality requirements in distributed agile projects, security risk frameworks for cyber-physical systems, and crowdsourced requirements engineering. Key Research Areas: Agile quality requirements, security ontology modeling, DevOps architecture, user feedback analysis for mobile apps Recent Article Trends: Focus on domain modeling pain points, phishing attack ontologies, personality-driven security perceptions, and empirical validation of requirements checklists Leadership: Organizer of EmpiRE workshops, CreaRE workshops, and REFSQ doctoral symposia

Boyan Paskalev Bontchevمشاهده پروفایل

استاد

• Software Architecture
• E-Learning Systems
• Adaptive Hypermedia
• +۵ مورد دیگر

Boyan Paskalev Bontchev is a Professor in the Department of Software Technologies at Sofia University's Faculty of Informatics. With a PhD in Computer Science from the Center of Informatics and Computer Technology - Bulgarian Academy of Sciences, he has established himself as a prominent academic in software engineering and educational technology fields. His academic career includes teaching Java Server/Side Programming and OOAD-UML courses at Sofia University and New Bulgarian University since 2000. Professor Bontchev's research focuses on e-learning systems, adaptive hypermedia, and software architecture. His work centers around developing self-adaptive educational platforms, with significant contributions to the ARCADE e-learning platform that complies with IEEE LTSA standards. He has published extensively on topics including courseware composition, learning content interoperability, and assessment frameworks, demonstrating a consistent research trajectory in educational technology systems. His publications reveal a strong emphasis on practical applications of educational technology, particularly in self-adaptive hypermedia navigation, e-learning courseware delivery, and assessment interoperability. The research shows progression from foundational work on software architecture to increasingly sophisticated adaptive learning systems that incorporate learner modeling and personalized educational experiences. Professor Bontchev maintains active industry connections, having worked as a software engineer and project manager at companies including Rila Solutions, ESDI Ltd., and OBLOG Software Ltd. His international experience includes research stays at the University of Vienna and Technical University of Aachen, contributing to his broad perspective on educational technology development. With proficiency in multiple programming languages and environments including Java, JSP, Oracle, and web technologies, he bridges theoretical computer science with practical educational applications. His multilingual capabilities (English, Portuguese, German, Russian, Spanish) further enhance his international research collaborations and academic contributions.

Daniel Barbaráمشاهده پروفایل

استاد

• Data Mining
• Machine Learning
• Databases
• +۳ مورد دیگر

Daniel Barbará is a Professor in the Department of Information and Software Engineering at George Mason University since 1997. He holds a PhD and MS in Computer Science from Princeton University, and a BS in Electrical Engineering from Universidad Metropolitana. Research Interests: Data mining, machine learning, cybersecurity, mobile computing, and fractal-based data analysis. His work focuses on clustering algorithms, intrusion detection, data compression, and handling high-dimensional datasets. Grants: Multiple NSF and Air Force grants including "Clustering by Impact" (2002-2005) and "Data Mining Support for NIAC" (1999-2000). Scientific Awards: Outstanding Researcher, CS Department, George Mason University Best Paper Finalist at WWW 2002 Projects: Developed ADAM (Intrusion Detection), COOLCAT (Categorical Clustering), Fractal Mining, and Quasi-Cubes (Approximate Query Processing).

• Computer and networked systems security
• Systems security and privacy
• Trusted execution environments
• +۶ مورد دیگر

Nuno Santos is an Associate Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico (IST), University of Lisbon, and a senior researcher at INESC-ID Lisbon, where he leads the SysSec team within the Distributed, Parallel and Secure Systems (DPSS) group. He is an active member of the international security community, serving as Program Vice Co-Chair for USENIX Security 2025 and on program committees for top venues such as IEEE S&P, CCS, and USENIX Security. Education: Ph.D. in Computer Science, 2013 – Max Planck Institute for Software Systems (MPI-SWS) & Saarland University Research internships at Microsoft Research Redmond (2010), Vrije Universiteit Amsterdam (2018), and Technical University of Munich (2024) Research Interests Nuno Santos’s research centers on the security and privacy of computer and networked systems, with particular emphasis on trusted execution environments, secure systems design, and the intersection of machine learning with security. His group investigates vulnerabilities and defenses in widely deployed platforms, including TrustZone, JavaScript runtimes, and cloud infrastructures. Additional themes include censorship-resistant communication, privacy-preserving analytics, and automated exploit generation. Recent Publication Trends Over the past five years, his work has increasingly targeted emerging threat models in confidential computing (AMD SEV-SNP, Intel TDX), large-language-model integration into web applications, and automated security analysis of JavaScript ecosystems. These publications consistently appear in the most selective venues (PLDI, SIGMETRICS, ICSE, NDSS, S&P, USENIX Security), evidencing strong empirical evaluation and real-world impact. Awards & Honors IST Outstanding Teaching Award (2019/2020) ISOC.PT Best Portuguese Internet Research Award (2024) Prémio Científico Universidade de Lisboa / Caixa Geral de Depósitos (2024) Multiple IST Teaching Excellence Awards Advising & Service Nuno Santos has supervised numerous MSc and PhD students whose theses span secure systems, network privacy, and trustworthy computing. Recent defenses include Bernardo Ribeiro, Cristi Savin, Hugo Mantinhas, João Aragonez, João Sá, and Tomás Tavares. He actively participates in doctoral committees and mentors junior researchers within the DPSS group. Labs, Teams & Collaborations He leads the SysSec team inside the Distributed, Parallel and Secure Systems (DPSS) group at INESC-ID Lisbon. The team maintains strong collaborative ties with MPI-SWS, VUSec at VU Amsterdam, the Systems Research Group at TU Munich, and multiple industry partners including Microsoft Research.

Marika Apostolova Trpkovskaمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +۴ مورد دیگر

Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.

André Nitzeمشاهده پروفایل

استاد

• Internet of Things
• Digital Business Models
• Software Engineering
• +۹ مورد دیگر

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

• Civil Engineering
• Mechanics of Loose Materials
• Fiber-Reinforced Polymer (FRP) Applications
• +۷ مورد دیگر

Professor Chen Jianfei is a Chair Professor at the Department of Marine Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. He previously held academic positions at Queen’s University Belfast (2013-2019), University of Edinburgh (2002-2013), and Zhejiang University (1987-1992). His leadership roles include serving as President of the International Institute for FRP in Construction (IIFC) from 2014 to 2018. PhD in Civil Engineering, University of Edinburgh (1996) MSc in Structural Engineering, Zhejiang University (1987) BEng in Structural Engineering, Zhejiang University (1984) Professor Chen’s research spans civil engineering and mechanics of bulk materials , focusing on: Application of high-performance FRP composites in civil infrastructure Development of advanced discrete/finite element methods for structural analysis Mechanics of granular solids and bulk material flow in silos Seawater sea-sand concrete and high-performance concrete systems Hybrid floating structures and subsea pipelines His publications include the foundational monograph FRP-Strengthened RC Structures (translated into Chinese, Korean, Persian) and over 300 papers. Google Scholar cites exceed 7,664 (Web of Science), with an h-index of 30. His work has been adopted into international standards. Honors include: 2021 IIFC Medal (highest award in FRP composites) 2016 Howard Medal (oldest ICE award, since 1872) 2016 Elsevier Highly Cited Researcher in Civil Engineering 2015 Frederick Palmer Prize (ICE journal best paper) 2006 President’s Award (IIFC) He has secured major grants for projects like Re-use of Wind Turbine Blades (US-Ireland partnership, $1.3m) and FRP Confined Seawater Concrete (NSFC, RMB747,000).

Kathrin Figlمشاهده پروفایل

استاد

• Human-Centric Information Systems Design
• Human-AI Interaction
• Algorithmic Management
• +۷ مورد دیگر

Kathrin Figl is a Full Professor (Tenured) for Human-centric Information Systems Design at the Department of Information Systems, Production and Logistics Management at the University of Innsbruck. Previously, she held positions as an Assistant Professor at WU Vienna University of Economics and Business and as a research associate at the University of Vienna. Her educational background includes a doctoral degree in Information Systems (2008, with honors, awarded the Dr. Maria Schaumayer Prize) and dual master's degrees in Information Systems (2004) and Psychology (2006), all from the University of Vienna. This interdisciplinary foundation bridges technical and psychological perspectives in her research approach. Professor Figl's research centers on human-centered information systems with particular emphasis on cognitive aspects of digital interaction: Human-AI interaction and algorithmic management systems Digital nudging techniques and online manipulation Eye-tracking methodologies in user research Cognitive biases and heuristics in digital environments Fake news perception and detection mechanisms Webpage prototypicality and its effects on user attitudes Business process modeling as cognitive tools Her publication trajectory demonstrates a sophisticated evolution from foundational work on business process modeling to cutting-edge research on device-specific cognitive effects and misinformation perception. A hallmark of her methodology is the rigorous application of empirical approaches, particularly eye-tracking studies, to investigate how screen design, device type, and interface elements influence human cognition and decision-making across digital platforms. Professor Figl has earned significant recognition for her scholarly contributions: Dr. Maria Schaumayer Prize for doctoral excellence Three Best Paper Awards at major international conferences Excellent Teaching Award from WU Vienna Recognition as a top reviewer for Software & Systems Modeling journal Outstanding service awards as associate editor and track chair She has secured substantial research funding including an FWF Lisa Meitner Programme grant (€145,260) on Web Design Prototypicality and an Austrian Nationalbank Research Grant (€55,000) on Cognitive Effectiveness in Business Process Modeling. While specific advisees aren't documented in the provided materials, her extensive publication record with numerous co-authors indicates active mentorship of graduate researchers. Her work with eye-tracking technology suggests leadership of a specialized laboratory environment for studying human-computer interaction, with established collaborations including the Technical University of Denmark and Queensland University of Technology.

Edgar Vadimovich Vatamanitsaمشاهده پروفایل

استادیار

• Client-server programming
• Java and Android pattern development
• Application information systems
• +۶ مورد دیگر

Edgar Vadimovich Vatamanitsa serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University, specializing in cross-platform software development and cloud computing applications. His work bridges academic research with industry practice through active engagement in both university teaching and commercial software development. Education: Yuriy Fedkovych Chernivtsi National University (2013): Systems Software, Software Engineer Dr. Vatamanitsa's research centers on Java/Android pattern development, client-server architectures, and distributed systems. He pioneers practical implementations of design patterns in cloud environments, with significant contributions to optical field simulation, semiconductor modeling, and intelligent transportation systems. His methodology emphasizes cross-platform efficiency and real-world applicability of theoretical computing concepts. Analysis of his 2022-2024 publications reveals dominant themes in cloud-based optical computation (AWS infrastructure), Java pattern implementation for Android, and cross-platform solutions for traffic management and semiconductor physics. His work consistently integrates distributed systems with domain-specific challenges in optics, printing technology, and educational analytics, demonstrating exceptional versatility across engineering disciplines. Professional Activities: Member of Bukovina Information Technology Cluster (since 2022) Senior Software Developer at EPAM SYSTEMS Certificate in Cross-platform Programming and Information Security (Ternopil National Technical University, 2023) Tech Summer Bootcamp for Teachers participant (2023)

Shuhita Bhattacharjeeمشاهده پروفایل

استادیار

• Nineteenth-century literature and culture
• Post-secular theory
• Religion and secularism
• +۱۲ مورد دیگر

Shuhita Bhattacharjee is Assistant Professor of English Literature and Gender & Sexuality Studies in the Department of Liberal Arts and an Affiliated Professor in the Department of Design at the Indian Institute of Technology Hyderabad, where she has held academic appointments since 2018. Previously she served as Assistant Professor at Presidency University, Kolkata (2013–2018) and as Lecturer/Adjunct faculty at the University of Iowa and HMM College. Education: PhD English Literature, University of Iowa, USA (2015) MPhil, MA, BA English Literature, Jadavpur University, India (2008, 2006, 2004) Her research ranges across Victorian literature and culture, post-secular theory, religion and secularism, gender and queer studies, postcolonial studies, graphic novels, diaspora cultural production, thing theory, and heritage studies . She interrogates the intersections of faith, gender, empire, and material culture, particularly through fin-de-siècle British and Anglo-Indian fiction. Her publications map a trajectory from Victorian gothic and mesmerism to contemporary South Asian diasporic cinema and web-series, with recurring attention to gendered violence, post-secular identities, and subaltern humor. A second monograph on Colonial Idols in British and Anglo-Indian Literature is forthcoming from Routledge, extending her inquiry into the non-human agency of colonial religious objects. Scientific Awards & Fellowships: Charles Wallace Grant for International Archival Research (2020) Marcus Bach Fellowship (2015) Frederick P. W. McDowell Dissertation Award (2014) Robert L. Platzman Fellowship, University of Chicago (2013) Stanley Award for International Research, University of Iowa (2013) Summer Dissertation Fellowship, University of Iowa (2013) AAUW Fellowship Alternate (2014) She currently leads two ICSSR-funded projects on adolescent sexuality education through picture books and on queer dating-app violence in India, and heads the South Asia chapter of the UKRI AHRC-funded Nineteenth-Century Diversities Research Network (NCDRN) . She founded the Public Humanities Initiative (PHI) at IIT Hyderabad to foster socially-engaged research across disciplines. Beyond academia, Bhattacharjee has extensive social-sector experience on HIV and violence against women, sex education, and anti-sexual harassment policy, informing her gender-sensitisation workshops and classroom praxis.