جست‌وجوی استاد و پژوهشگر

Martina Zitterbartمشاهده پروفایل

استاد

• Multimedia Communication Systems
• Mobile and Ubiquitous Communication
• Ambient Technologies
• +۷ مورد دیگر

Martina Zitterbart is a Professor of Computer Science at the Karlsruhe Institute of Technology (KIT) , with a career spanning over 30 years in telematics research. She leads the Institute of Telematics , focusing on multimedia communication systems , mobile networking , and wireless sensor networks . Current C4 Professor at KIT since 2001 PhD in Computer Science (University of Karlsruhe, 1990) Visiting scientist at IBM Research (USA/Switzerland, 1989-1992) Her research now integrates artificial intelligence into network security and 6G automation . Key projects include: KIWI : Federated machine learning for cross-domain attack detection Open6GHub : 6G infrastructure development (€66.8M BMBF grant) 6G-ANNA : Network automation for next-gen mobile systems Recent publications focus on: DDoS attack detection through machine learning QUIC protocol performance in long-term use energy packet transmission for smart grids autonomic network management She has received multiple awards including: Alcatel SEL Research Prize (2002) Best Paper Awards (EI.A 2024, NoF 2023) Teaching Excellence Recognition (2003, 2008) As a member of IEEE, ACM, and the German Society for Informatics, she actively contributes to academic discourse through conferences like SIGCOMM and workshops on blockchain technology.

Vern Paxsonمشاهده پروفایل

استاد

• Computer Science
• Network Security
• Internet Measurement
• +۳ مورد دیگر

Vern Paxson is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, and a Senior Scientist at the International Computer Science Institute (ICSI). His research focuses on network security, internet measurement, and censorship resistance, with significant contributions to malware analysis, DNS security, and large-scale cyber threat detection. Key research areas: Network Security, Internet Measurement, Cybersecurity, Censorship Studies Advises PhD students in topics including credential spearphishing, botnets, and cybercrime supply chains His publications span over two decades, including foundational work on network intrusion detection via the Bro/Zeek framework and recent studies on HTTPS interception risks and domain fronting. He has received numerous accolades, including the USENIX Test of Time Award (2022) , IEEE Internet Award (2015) , and ACM SIGCOMM Test of Time Paper Award (2006) . Paxson also co-authored the influential Bro: A system for detecting network intruders in real-time (1998), which earned a USENIX Best Paper Award . Scientific Awards : USENIX Test of Time Award (2022) IEEE Symposium on Security and Privacy Test of Time Award (2020) Internet Defense Prize (2017) IEEE Internet Award (2015) Grace Murray Hopper Award (2007) ACM Fellow (2006) His work has shaped practical tools like the Bro/Zeek network analysis framework and Netalyzr , a platform for edge network analysis. Paxson’s research on click fraud, credential breaches, and state-sponsored cyberattacks remains highly cited, reflecting his central role in advancing empirical cybersecurity research.

Stephan Thesmannمشاهده پروفایل

استاد

• Business Informatics
• E-Business
• E-Learning
• +۹ مورد دیگر

Stephan Thesmann is a Professor of Business Informatics at Pforzheim University, specializing in multimedia application systems. He holds a doctorate in business administration and has been active in academia since the 1990s. His career includes roles as a visiting professor at ESC Clermont Graduate School of Business and leadership in e-learning initiatives. Focus areas: E-Business, AI applications, human-computer interaction, and SEO/SEM Key projects: University-wide e-learning implementation (2003-2007), international Digital Enterprise Management program (2016-2019) Leadership roles: Dean of Studies for Business Informatics (2013-2020) His research explores digital business process optimization, accessible web design, and search engine strategies. He has authored textbooks including 'Interface Design' and 'Wirtschaftsinformatik für Dummies'. Scientific awards include the 2018 Teaching Award from the Faculty of Business and Law. He actively contributes to program accreditation and serves on Pforzheim University’s IT Advisory Board.

Mike Waldمشاهده پروفایل

استاد

• Accessibility Technology
• Artificial Intelligence
• Human-Computer Interaction
• +۴ مورد دیگر

Professor Mike Wald serves as a Professorial Fellow in Education at the University of Southampton's Faculty of Engineering and Physical Sciences, Department of Electronics and Computer Science. His work bridges cutting-edge technology with real-world accessibility challenges through the Web and Internet Science research group. Wald's research spans Accessibility Technology , Artificial Intelligence , and Human-Computer Interaction , with particular focus on assistive technologies for disabled communities. His work integrates natural language processing for text simplification, recommender systems for outdoor tourism, and AI-driven adaptations for augmentative communication. Current projects examine autonomous vehicle trust perception and context-aware climbing recommendation systems, demonstrating his interdisciplinary approach spanning computer science, health informatics, and social inclusion. His recent publications reveal strong trends in applied AI for social good , particularly in disability inclusion and outdoor accessibility. The research consistently combines technical innovation with user-centered evaluation , often focusing on visually impaired and communication-disabled populations. Key methodological themes include practical metric development, contextual integration in recommender systems, and real-world deployment challenges. Professor Wald actively supervises postgraduate researchers including PhD candidate Yue Zheng in Computer Science. His research is supported by major funders including EPSRC, European Union (H2020/FP7), Qatar National Research Fund, and the Alan Turing Institute through projects like SemanticNews, Net4Voice, SlideWiki, and Michelangelo. As a recognized expert, Wald has delivered keynote addresses including "Building Rating System for Indoor Navigation by Blind People" (2018) and "How AI can overcome barriers to inclusion" (2021), demonstrating his leadership in translating research into practical accessibility solutions.

Kamil Rafał Filipekمشاهده پروفایل

استادیار

• Artificial Intelligence
• Social Media
• Social Capital
• +۷ مورد دیگر

Kamil Rafał Filipek is an Assistant Professor at the Department of Economic Sociology and Social Research Methods , Faculty of Philosophy and Sociology , Maria Curie-Skłodowska University (UMCS), Lublin. He serves as Director of the Center for Artificial Intelligence and Computer Modeling and co-founded SZOP.ai, a data science initiative. His work bridges artificial intelligence , social media , and social capital theories with quantitative empirical analysis. PhD in Sociology, John Paul II Catholic University of Lublin MA in International Relations, UMCS MA in Sociology, John Paul II Catholic University of Lublin His research focuses on algorithmic bias , networked publics , and digital labor precarity . Current projects include DARIAH.PL (Digital Humanities infrastructure) and European Union studies on migrant worker rights. He co-developed methodologies for detecting AI model bias and social capital analysis in digital contexts. As a frequent speaker, he has presented at the Arctic Circle conference (2024) and co-organized panels on fake news detection using eye-tracking technology at the 2022 Internet Governance Forum . His work appears in journals like Polish Sociological Review and PLoS ONE , with over 1700 ministerial score points and h-index values across citation databases.

• Operations Research
• Supply Chain Management
• Artificial Intelligence
• +۶ مورد دیگر

Ajay Kumar is a prominent researcher and academic with extensive contributions across multiple domains including Operations Research, Artificial Intelligence, Blockchain, and Biometric Recognition. His work spans a wide range of topics, from digital transformation in supply chains to machine learning applications in healthcare and software engineering. He has collaborated with numerous scholars and published extensively in high-impact journals and conferences. Research Interests: Operations Research, AI in Healthcare, Blockchain Applications, Biometric Recognition, Software Reliability, Digital Transformation Publications: Kumar has authored numerous publications in journals like Annals of Operations Research , IEEE Transactions on Engineering Management , and SN Computer Science , as well as conferences such as CVPR and IC3I. Collaborations: Kumar has worked with leading experts like Kim Hua Tan, Shivam Gupta, Seema Bawa, and others, contributing to interdisciplinary research in supply chain, data science, and IoT. Key Contributions: His research includes innovative frameworks such as blockchain-enabled supply chains, hybrid AI models for diabetes prediction, and scalable tools for genomic data analysis. Emerging Trends: Kumar’s recent work focuses on explainable AI, fake news detection, and integrating IoT with blockchain for secure and efficient systems across health, logistics, and UAV communication.

Tim Berners-Leeمشاهده پروفایل

استاد

• Computer Science
• World Wide Web
• Data Privacy
• +۳ مورد دیگر

Sir Tim Berners-Lee is a renowned academic, inventor of the World Wide Web, and holds professorships at the University of Oxford and Massachusetts Institute of Technology (MIT). He founded the World Wide Web Consortium (W3C) and co-founded the Open Data Institute and Inrupt, advocating for decentralized data control and web openness. His work spans software development, web standards, and internet governance. Professor at University of Oxford and MIT Founder of W3C Co-founder of World Wide Web Foundation and Open Data Institute Advocate for Net Neutrality and data privacy His research focuses on advancing the web’s architecture, promoting accessibility, internationalization, and security standards. He pioneered the Solid platform to re-decentralize the web and empower users with data sovereignty. Scientific Awards: Knighted by Queen Elizabeth II (2004) Order of Merit (2007) ACM Turing Award (2017)

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +۵ مورد دیگر

Andrea Bernardini is an Associate Professor in the Department of Computer Science at the University of Udine, Italy. With a research career spanning over 15 years, Bernardini has established himself as a prominent researcher in cybersecurity, machine learning, and medical applications of AI. His work bridges theoretical computer science with practical applications in healthcare, IoT security, and wireless sensing technologies. Dr. Bernardini's research focuses on applying artificial intelligence techniques to solve complex problems in cybersecurity and medical diagnostics. His work spans several key areas including IoT security, where he develops methods for analyzing vulnerable internet-connected devices; medical AI, where he applies deep learning to diagnose conditions like sleep apnea and Parkinson's disease; and wireless sensing technologies that use Wi-Fi signals for person identification and monitoring. His approach often combines multiple technical domains to create innovative solutions for real-world problems. His recent publications demonstrate a strong trend toward interdisciplinary research that combines cybersecurity with healthcare applications. Bernardini's work on 5G network security, Wi-Fi based person identification, and EEG analysis for Parkinson's disease diagnosis shows his ability to bridge multiple technical domains. His research often involves collaboration with medical professionals and industry partners to ensure practical applicability of theoretical advances. Dr. Bernardini has been actively involved in several significant research projects focused on cybersecurity frameworks for emerging technologies. His work with the ITASEC and SERICS conferences indicates strong engagement with the European cybersecurity research community. Recent projects include developing meta-search engines for IoT device posture analysis and ontological approaches to 5G service cybersecurity, addressing critical infrastructure protection needs.

• XML Database Systems
• Cloud Computing Security
• Data Stream Mining
• +۵ مورد دیگر

Eric Pardede is a professor at the School of Computing and Mathematics of Western Sydney University . He has an extensive publication record in data management, cybersecurity, and technology-enhanced learning, often collaborating with researchers like Wenny Rahayu, David Taniar, and A. S. M. Kayes. Research Focus: XML database systems, cloud computing security, data stream mining, and educational technology Award-Winning Contributions: Notable work on IoT security frameworks, blockchain risk assessment, and adaptive learning systems Recent Publications: 15 articles from 2021-2025 address topics like concept drift adaptation, cybersecurity in multi-cloud environments, and smart education tools Key Collaborations: Frequent partnerships with researchers in Australia, Indonesia, and Austria

• Printed Electronics
• RFID Technology
• Sensor Systems
• +۳ مورد دیگر

Mikael Gulliksson serves as a University Lecturer at Mid Sweden University in Sundsvall, affiliated with the Department of Communication, Quality Technology and Information Systems (KKI) and the FSCN Research Centre. His academic role centers on teaching and research within electrical engineering and information systems, with a focus on practical applications of emerging technologies. His primary research areas include printed electronics, RFID technology, sensor systems, smart packaging, and wireless sensor networks. Gulliksson has pioneered developments in printed humidity sensors with memory functionality, incontinence alarm systems using RFID, and forest fire detection mechanisms. His work integrates engineering principles with real-world challenges in healthcare, environmental monitoring, and industrial packaging. Examining his publication record from 2003 to 2013, a clear trajectory emerges toward miniaturized, low-cost sensor solutions using printed electronics. Key themes include passive RFID integration, energy harvesting for self-powered sensors, and NFC applications in home healthcare. These innovations demonstrate a consistent effort to enhance functionality while reducing production costs through printable materials. No scientific awards or major fellowships are documented in the available records. However, Gulliksson participated in the "Development of Fish Feed within Foodtech" research project and has secured funding for multiple collaborative studies. His grant history reflects partnerships with industry stakeholders in packaging and sensor technology sectors. Gulliksson operates within Mid Sweden University's FSCN Research Centre, contributing to projects focused on printed electronics and sensor systems. His collaborative work involves interdisciplinary teams developing applications for smart packaging, healthcare monitoring, and environmental safety. Current research directions include enhancing sensor durability and reducing production costs through innovative printing techniques.

Xhemal Zenuniمشاهده پروفایل

استاد

• Computer Science
• Machine Learning
• Internet of Things (IoT)
• +۷ مورد دیگر

Xhemal Zenuni is a Full Professor and current Dean at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, North Macedonia). His academic career spans multiple roles from IT Administration Assistant (2003-2004) to progressively senior positions including Young Assistant (2004-2006), Assistant (2006-2008), Assistant Professor (2013-2018), Associate Professor (2018-2023), and now Full Professor since 2023. Education: PhD in Computer Sciences (2006-2012, Technical University of Sofia), specialization in Computer Systems, Complexes and Networks Master of Sciences in Informatics (2004-2005, New Bulgarian University), specialization in Internet Software Technologies Bachelor of Sciences in Computer Sciences (2001-2003, SEEU) With expertise in Machine Learning , IoT , Cloud Computing , and Database Systems , his research focuses on applying AI/ML techniques across multiple domains. Recent work includes predictive modeling in education, hate speech detection for Albanian social media, smart agriculture systems, and microservices architecture migration. His publications demonstrate consistent engagement with modern computational challenges, particularly around low-resource language processing , smart city infrastructure , and educational technology . While serving as Dean and Vice-Dean, he has maintained active research output through collaborations with colleagues like Mentor Hamiti, Jaumin Ajdari, and Florije Ismaili.

Bujar Raufiمشاهده پروفایل

دانشیار

• Data Mining
• Semantic Web
• Machine Learning
• +۴ مورد دیگر

Bujar Raufi is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU), working part-time since 2017. His academic career spans over 15 years at SEEU, including roles as Assistant Professor (2012-2017), Teaching Assistant (2012), Prodean for Postgraduate Studies (2008-2012), and various assistant positions since 2003. He completed his Ph.D. in Computer Science at the Technical University of Sofia (2006-2011) with a thesis on adaptive web-based systems using data mining and semantic web technologies. Doctor of Computer Science, Technical University of Sofia, Bulgaria (2011) M.Sc. in Informatics, New Bulgarian University, Bulgaria (2005) B.Sc. in Computer Sciences, South East European University, Macedonia (2003) Raufi's research focuses on data mining, semantic web technologies, machine learning, web-based systems, and database systems. His work addresses practical applications in education, mobile platforms, and smart agriculture. He has collaborated on diverse projects including hate speech detection, web personalization, and database migration. His publications (2016-2020) demonstrate expertise in natural language processing, adaptive systems, and database technologies, with a recurring interest in solving educational and ethical challenges through computational methods. While no formal awards are documented, his career shows progression from technical roles to academic leadership in computer science education and research. Raufi has contributed to curriculum development, teaching responsibilities in internet technologies and computer graphics, and active research output. He maintains proficiency in multiple languages including English, Macedonian, French, and Turkish.

Todd Sproullمشاهده پروفایل

استاد آموزشی

• Mobile Application Development
• Web Application Development
• Software Engineering
• +۳ مورد دیگر

Todd Sproull is a Teaching Professor in the Department of Computer Science & Engineering at Washington University in St. Louis. He serves as Director of Internet Technologies and Applications (ITA) within the McKelvey School of Engineering. His expertise focuses on developing mobile and web applications. Sproull has been affiliated with Washington University since 2009 and received the Department Chair Award for Outstanding Teaching in 2015. Education: PhD in Computer Science & Engineering, Washington University in St. Louis (2009) MS in Computer Science & Engineering, Washington University in St. Louis (2002) BS in Computer Science, Southern Illinois University in Edwardsville (2000) Research Interests: Specializes in application development across mobile and web platforms, emphasizing practical implementations of software engineering principles. Awards: Department Chair Award for Outstanding Teaching (2015) Advising & Leadership: Leads the Internet Technologies and Applications program, fostering innovation in digital systems education and industry-aligned curricula.

• Data Mining
• Distributed Systems
• Cloud Computing
• +۴ مورد دیگر

Professor Mohand Tahar Kechadi is a Full Professor at the School of Computer Science, University College Dublin (UCD), where he has been since 1999. His research focuses on Data Mining, Distributed Systems, Digital Forensics, and Healthcare Informatics. He has published over 260 articles and serves on editorial boards of journals like Future Generation Computer Systems and IST Transactions . He also holds roles in academic leadership, including directing UCD’s international BSc program in Sri Lanka and previously serving as Head of Teaching and Learning (2007–2012). Education: PhD and DEA (MSc) in Computer Science from the University of Lille, France; HDip in University Teaching & Learning from UCD. Research: Explores challenges in big data processing, including distributed data mining, cloud computing, and privacy-preserving techniques. Recent work addresses applications in healthcare (e.g., wearable devices, medical imaging), agriculture (precision farming), and cybersecurity (blockchain, IoT trust management). Grants: Led a grant on evaluating sugar-sweetened beverage taxes (2018–2019). Collaborates on projects like BigO, a public health decision support system for pediatric obesity. Teaching: Coordinates modules in Cloud Computing, Data Mining, and Distributed Systems. Developed a code-free cloud service for biomedical signal processing and advocates inclusive assessment strategies. Awards: None explicitly stated. Recognized for contributions to interdisciplinary research and education.

Temitope Aladeمشاهده پروفایل

دانشیار

• Software Engineering
• Web/Mobile Computing
• Internet of Things (IoT)
• +۴ مورد دیگر

Temitope Alade is an Associate Professor of Computing Sciences and Director of MSc Computing at the University of East Anglia (UEA). He previously held roles at Nottingham Trent University, University of Worcester, and University of Kent, focusing on teaching, research coordination, and post-doctoral research. His expertise spans software engineering, mobile computing, IoT, and wireless communication systems. Academic Background: Temi holds a B.Sc. in Computer Science (University of Ilorin), M.Sc. in Mobile Computing (University of Bradford), and Ph.D. in Electronic Engineering (University of Kent). He is a Fellow of the Higher Education Academy and holds a Postgraduate Certificate in Learning and Teaching from the University of Keele. Research Interests: Temi’s work focuses on modeling and evaluating computing/communication systems, including web-based systems, IoT applications, machine learning integration, and 6G wireless networks. He explores interdisciplinary applications in healthcare, finance, and smart infrastructure. External Activities: He serves as a grant reviewer for UKRI-AHRI and EU-funded projects, and is a regular reviewer for IEEE journals. He is a member of IEEE and has led collaborative projects like the EU Horizon 2020 Future Mobile Project (€195,455) and FP7 ULOOP Project (€375,000). Grants & Collaborations: His collaborations include Royal Academy of Engineering Travel Awards and EU-funded initiatives. He actively supervises PhD students and promotes interdisciplinary research in software engineering, mobile systems, and IoT.