جستجوی استاد راهنمای دانشگاهی

• Data Science
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Taiseer Abdalla Elfadil Eisa is a researcher actively contributing to data science, machine learning, and academic integrity. His work spans plagiarism detection in scientific figures and digital media, robotic manipulation in cluttered environments, and Arabic speech dataset development for demographic analysis. He has collaborated with scholars from institutions in Malaysia, Saudi Arabia, and Yemen. His research interests include: Text and image-based plagiarism detection Machine learning for speech and facial analysis Computer vision for academic integrity Data mining for scientific publications Recent publications focus on: Arabic speech datasets (2024) Deepfake detection (2023) Robotic manipulation (2022) Systematic literature reviews (2015-2020)

Thomas Banitzمشاهده پروفایل

پژوهشگر

• Ecological Modelling
• Biodiversity Dynamics
• Microbial Ecology
• +۷ مورد دیگر

Thomas Banitz is a Researcher in the Department of Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. His work focuses on developing computational models to study ecological systems, population dynamics, and ecosystem functions. Key research areas include grassland biodiversity responses to environmental changes, microbial ecology, and causal reasoning in social-ecological systems. He leads projects like BioDT (biodiversity digital twin) and contributed to CauSES (causation in social-ecological systems). Education: PhD in Environmental Sciences from Universität Osnabrück (2011), Dissertation: 'Modelling bacterial growth, dispersal and biodegradation'. Research Highlights: Developed individual-based models for microbial systems (e.g., McComedy tool) Investigated microbial interactions and ecosystem processes in disturbed environments Advanced causal explanation frameworks for complex systems Explored spatiotemporal dynamics of biodiversity under environmental stressors Labs/Teams: Member of FORMIND vegetation model team and EcoEpi ecological epidemiology initiative. Collaborates with interdisciplinary groups on digital twins and sustainability science.

Amar Hadzihasanovicمشاهده پروفایل

استادیار

• Category Theory
• Higher-Dimensional Algebra
• Quantum Computing
• +۳ مورد دیگر

Amar Hadzihasanovic is an Assistant Professor at Tallinn University of Technology, affiliated with the Compositional Systems and Methods group, and a Scientific Advisor at Quantinuum. He specializes in category theory, higher-dimensional algebra, and their applications in quantum computing and formal systems. His recent work includes organizing the 110th Peripatetic Seminar on Sheaves and Logic (PSSL) and completing a book on higher-categorical diagrams with Cambridge University Press. Hadzihasanovic has been awarded grants from ARIA (Safeguarded AI programme) and the Estonian Research Council, supporting his research on diagrammatic rewriting and homotopy theory. His research interests span categorical foundations, diagrammatic sets, and computational aspects of higher-dimensional structures. Key contributions include model structures for (∞, n)-categories, acyclicity conditions in pasting diagrams, and formal axiomatizations of quantum systems. He has advised PhD students Alkis Ioannidis and Clémence Chanavat, and collaborates widely with institutions like the University of Cambridge and Quantinuum. Hadzihasanovic has delivered invited talks at conferences such as Category Theory 2024, the Nordic Congress of Mathematicians, and the Geometric and Topological Methods in Computer Science (GETCO). His teaching includes a course on category theory and diagrammatic reasoning at Kyoto University. His software, including the rewalt library, supports topologically sound higher-dimensional diagram rewriting.

Volker Rothمشاهده پروفایل

استاد

• Computer Science
• Information Security
• Applied Cryptography
• +۵ مورد دیگر

Volker Roth is a Professor in Computer Science at Freie Universität Berlin, heading the Secure Identity Research Group since 2009. He has held positions as Senior Researcher at FXPAL (Palo Alto), Visiting Professor at the Peter Kiewit Institute (University of Nebraska at Omaha), CTO of OGM Laboratories (Omaha), Senior Researcher and Deputy Department Head at Fraunhofer Gesellschaft, and Postdoc at ICSI (Berkeley). He earned his Dr.-Ing. and Dipl.-Inform. from Technische Hochschule Darmstadt. Education: Dr.-Ing. (PhD), Dipl.-Inform. (M.Sc.) in Computer Science from TU Darmstadt His research focuses on privacy and security in information systems , emphasizing the psychological acceptability of security mechanisms . Key themes include applied cryptography , human-computer authentication , and usable security . He designs security mechanisms that are simple but effective and function without a common root of trust. His recent work analyzes email encryption adoption over 27 years (81M+ emails) and explores cryptocurrency wallet usability , touch authentication , and shoulder surfing defenses . He has developed privacy-preserving data collection pipelines and contributed to standards in key management, email security, and mobile authentication. Scientific awards include: Best Paper at MobileHCI 2016 Honorary Mention at CHI 2021 INI-GraphicsNet Best System Paper Award 2006 Best Student Paper at NSDI 2004 Volker Roth teaches computer science and leads research in secure identity systems. His consultation hours are Tuesdays at 18h via Webex, with contact details available on his personal page .

Olaf Spinczykمشاهده پروفایل

استاد

• Embedded Systems
• Aspect-Oriented Programming
• Operating Systems
• +۳ مورد دیگر

Olaf Spinczyk is a Professor in the Department of Computer Science 12 at Technische Universität Dortmund, leading the Embedded System Software Group. Previously, he held positions at Friedrich-Alexander-Universität Erlangen-Nürnberg and the University of Magdeburg. His research focuses on embedded systems, aspect-oriented programming, and operating system design. Affiliations: Technische Universität Dortmund: Head of Embedded System Software Group Former roles: University of Erlangen-Nürnberg (Dept. of Computer Science 4) and Magdeburg University Research Interests Spinczyk specializes in tailor-made operating systems , embedded systems , and aspect-oriented programming . His work emphasizes software product lines for embedded environments, fault tolerance, and energy-efficient system design. Key projects include: CiAO: Aspect-oriented OS product line AspectC++: AOP extension for C++ FAME-DBMS: Database management system family FAIL*: Fault-injection framework Recent Work Recent research explores energy-aware device drivers, cyber-physical system reliability, and virtualization strategies for industrial applications. He has contributed to frameworks like vGridLab for smart grid testing and PhyNetLab for IoT-based warehouses. Awards & Activities No explicit awards listed, but notable contributions include leadership roles in EuroSys and conference organization (e.g., PLOS workshops, AOSD tutorials). Active in academic service, including program committees for AOSD and MMB. Labs & Teams Leads the Embedded System Software Group at TU Dortmund, collaborating on projects involving automotive systems, real-time computing, and cloud federation strategies.

Markus Hehnمشاهده پروفایل

پژوهشگر

• Indoor Positioning Systems
• Radar Systems
• Signal Processing
• +۳ مورد دیگر

Markus Hehn is a Researcher at the Chair of High Frequency Engineering within the Department of Electrical Engineering, Electronics and Information Technology (EEI) at Friedrich-Alexander-University Erlangen-Nuremberg. He holds a Dr.-Ing. (PhD) in Electrical Engineering, awarded with 'sehr gut' in November 2021. His work focuses on hardware design and signal processing for indoor positioning systems, including radar systems, low-frequency magnetic field localization, inertial navigation, and RFID technologies. Education: 2004-2007: Training as an Electronics Technician for Automation Technology 2008-2010: State-Certified Electrical Engineering Degree from Erlangen Technical College 2011-2014: B.Sc. in Electrical Engineering, Electronics, and Information Technology (FAU) 2014-2016: M.Sc. (with distinction) in the same field (FAU) Research interests span hardware development, radar systems, and signal processing for indoor navigation. Recent work emphasizes sequential sampling impulse radar, synthetic aperture imaging, and Kalman filter-based synchronization in networked systems. Collaborations include projects on UHF-RFID localization for mobile robots and 5G/6G antenna arrays. Labs/Teams: Active in the Institute of Microwaves and Photonics (LHFT) and the Chair of High Frequency Engineering. Seeks students for theses in hardware/circuit design, signal processing, and system design.

• Artificial Intelligence
• Neural Networks
• Fuzzy Logic
• +۴ مورد دیگر

Lakhmi C. Jain is a distinguished academic affiliated with the University of South Australia. They specialize in Artificial Intelligence, Neural Networks, Fuzzy Logic, and Intelligent Systems, with a focus on applications in robotics, data mining, and biomedical engineering. Their work often bridges theoretical advancements and practical implementations, contributing to fields like computational intelligence, decision-making systems, and multi-agent frameworks. As an editor for multiple journals, including the International Journal of Intelligent Decision Technologies, Jain has significantly shaped academic discourse in AI and related domains. Roles: Editor-in-Chief for several journals, researcher in AI and computational intelligence. Affiliations: University of South Australia. Research interests include neural networks, fuzzy logic systems, and their applications in robotics, biomedical signal processing, and smart technologies. Their publications emphasize interdisciplinary approaches to solving complex problems in engineering and computer science. Articles highlight contributions to multi-agent systems, decision support systems, and risk assessment models, reflecting a commitment to both theoretical rigor and practical relevance. Despite extensive contributions, no specific awards or student advisees are explicitly documented in the provided data.

• Software Engineering
• Data Privacy
• Chatbot Design
• +۶ مورد دیگر

Edna Dias Canedo is a researcher with a focus on software engineering, data privacy, and gender dynamics in ICT. Her work explores chatbot conversational design, micro-frontend architecture, and compliance with data protection laws like Brazil's LGPD. She collaborates extensively on studies related to agile methodologies and digital transformation in public sectors.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۴ مورد دیگر

Joseph J. LaViola Jr. is a Professor at the University of Central Florida , specializing in Human-Computer Interaction , Virtual Reality , and 3D User Interface Design . With over two decades of research, his work bridges computer graphics and immersive technologies for applications in gaming, education, and engineering.

• Virtual Reality
• Augmented Reality
• Educational Technology
• +۷ مورد دیگر

Roghayeh Barmaki is a researcher with extensive publications in virtual reality, augmented reality, and educational technology. Her work spans rehabilitation systems, autism therapy, and neuroimaging analysis using fNIRS. She collaborates with institutions including Georgia Institute of Technology and University of Florida. Key Collaborators : Anjana Bhat, Jicheng Li, Shayla Sharmin, Vuthea Chheang Research Themes : Wearable sensors, LSL framework, movement synchrony, multimodal learning analytics Research Interests She focuses on immersive technologies for education and therapy, with expertise in: Functional Near-Infrared Spectroscopy (fNIRS) for cognitive engagement Wearable sensor integration in rehabilitation Gender perspectives in AR/VR education Multimodal affect analysis for autism Privacy-preserving behavioral analytics 3D visualization for anatomy training Publication Trends Recent work emphasizes fNIRS applications in gaming environments and hybrid deep learning models for cognitive analysis. Earlier studies focused on gesture recognition, movement synchrony estimation, and autism intervention datasets. Impactful Projects She developed the MMASD dataset for autism research and contributed to VR therapy systems. Her collaborations include: Georgia Tech's Autism Technology Research University of Florida's TeachLivE virtual classroom Germany's AIxVR conference contributions International collaborations on sensor systems

Stefan Taiمشاهده پروفایل

استاد

• Distributed Systems
• Decentralized Architectures
• Data Management
• +۶ مورد دیگر

Prof. Stefan Tai is a full professor and Chair of Information Systems Engineering at Technische Universität Berlin (Germany) since 2014. Previously, he held a full professorship at Karlsruhe Institute of Technology (KIT) and worked as a Research Staff Member at IBM's Thomas J. Watson Research Center. His research focuses on distributed systems, decentralized architectures, cloud service engineering, and privacy-preserving blockchain systems, emphasizing off-chain solutions and scalable technologies. Tai's work bridges academic research with industry applications, particularly in serverless computing, energy-efficient cloud-native systems, and blockchain-based solutions for supply chains and energy grids. He has authored numerous peer-reviewed publications in top-tier conferences and journals, including IEEE ICSA, Future Generation Computer Systems, and IEEE Blockchain. His contributions address challenges in software systems engineering, federated learning, and sustainable computing. Research Interests: Next-generation distributed software systems Decentralized architectures and blockchain systems Cloud and serverless computing Energy-efficient design Data management and privacy-preserving technologies Smart energy grids and IoT integration Key Publications Trends: Tai's recent work explores the intersection of blockchain and federated learning, serverless architectures for big data, and energy-efficient cloud-native applications. His 2025 paper introduced a framework for optimizing cloud-native energy efficiency, while 2024 contributions advanced verifiable decentralized systems and serverless data processing. Earlier research (2020–2021) focused on privacy in local energy grids and serverless computing scalability. Grants & Labs: While specific grants are not detailed, his leadership in TU Berlin's Information Systems Engineering group indicates involvement in EU-funded or industrial projects. Collaborations with institutions like TU Wien and KIT suggest multi-institutional efforts in distributed systems and blockchain. Labs/Teams: Leads the Information Systems Engineering research group at TU Berlin, focusing on software systems engineering, cloud architectures, and blockchain applications.

Ann-Kathrin Briemمشاهده پروفایل

پژوهشگر

• Sustainability Assessment
• Life Cycle Assessment (LCA)
• Renewable Energy Systems
• +۳ مورد دیگر

Ann-Kathrin Briem is a Researcher at the Department of Life Cycle Engineering, University of Stuttgart. Her work focuses on sustainability assessment, particularly in the context of mass personalization, renewable energy systems, and biotechnology. She specializes in Life Cycle Assessment (LCA) methodologies to evaluate environmental impacts across diverse sectors including automotive, construction, and bio-based processes. Her research integrates individual user behavior and industrial processes to inform sustainable decision-making. Key research areas include personalized LCA frameworks, ecological optimization of photovoltaic modules, and bioeconomic systems leveraging microbial biosurfactants. She collaborates with initiatives like the High-Performance Center for Mass Personalization and the Allianz-Biotenside network, advancing interdisciplinary sustainability solutions. Her teaching contributions include GaBi software tutorials and project-based learning modules on LCA and sustainability. While her publications span LCA applications from insect farming to fuel cell taxis, her work consistently bridges theoretical analysis with practical industrial challenges.

Björn Annighöferمشاهده پروفایل

استاد

• Avionics Systems
• Self-Adaptive Systems
• Cybersecurity
• +۵ مورد دیگر

Björn Annighöfer is a Professor at the Institute of Aviation Systems (ILS) at the University of Stuttgart, where he serves as Managing Director. His work focuses on complex, digital, and safety-critical avionics systems, including self-adaptive platforms, cybersecurity, and AI-supported aerospace systems. Research interests include: Self-adaptive avionics platforms Model-based cybersecurity frameworks Integrated Modular Avionics (IMA) development Virtualization and middleware for safety-critical systems AI applications in aerospace Automated development and certification processes Recent publications highlight advancements in PLUG-AND-FLY avionics, security assessment using large language models, and domain-specific modeling tools. He leads a team of ~25 scientists at ILS, which operates modern labs, flight simulators, and research aircraft for testing.

Nurefşan Sertbaş Bülbülمشاهده پروفایل

پژوهشگر

• Time Sensitive Networks (TSN)
• Software Defined Networking (SDN)
• Network Security
• +۳ مورد دیگر

Dr. Nurefşan Sertbaş Bülbül is a Research Associate/Postdoc at the University of Hamburg's Department of Informatics, part of the Faculty of Mathematics, Informatics and Natural Sciences. She completed her PhD at the University of Hamburg in 2023 under Prof. Mathias Fischer, following two Bachelor's degrees (Electronics and Communication Engineering, Computer Engineering) from Istanbul Technical University and a Master's from Boğaziçi University. Her research focuses on programmable networks, TSN (Time Sensitive Networks), and network security. Key areas include SDN (Software Defined Networking), attack detection, and reinforcement learning applications in networking. Her work addresses critical challenges like DoS attack mitigation in TSN, dynamic path reconfiguration, and P4-based solutions for network security. She has contributed to publications at IEEE GLOBECOM, IFIP Networking, and other conferences. Her research emphasizes practical implementations and resilient network designs, particularly for mission-critical systems. She is part of the Computer Networks research group, previously known as the IT-Security and Security Management group. Dr. Bülbül's recent projects include developing TSN Gatekeeper mechanisms and Transparent TSN solutions for agnostic end-hosts, leveraging SDN and reinforcement learning. Her work bridges theoretical advancements and real-world network challenges, ensuring robust and adaptable network infrastructures.

Vasileios Angelidakisمشاهده پروفایل

استاد

• Discrete Element Modeling
• Granular Materials
• Particle Dynamics
• +۳ مورد دیگر

Prof. Vasileios Angelidakis is a Professor at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), specializing in Discrete Element Method (DEM) modeling, granular materials, and particle dynamics. His research focuses on numerical simulations of particulate systems, including particle shape characterization, DEM framework comparisons, and applications in additive manufacturing, railway ballast, and material science. He has collaborated internationally, contributing to open-source DEM software like MercuryDPM and Yade, and has published extensively on topics such as clump dynamics, thermal-particle interactions, and global benchmark studies on granular behavior. He has also worked on seismic engineering, analyzing structural responses to earthquake-induced ground motion. Education: PhD in Engineering (Newcastle University, 2022), MSc in Structural Engineering (National Technical University of Athens, 2016), Diploma in Civil Engineering (National Technical University of Athens, 2014). Research Interests: DEM modeling, particle shape effects, granular flow, computational mechanics, additive manufacturing processes, and seismic structural analysis. Publications highlight his work on open-source frameworks, particle morphology analysis, and validation studies across disciplines. His contributions include algorithms for rotational motion integration and tools like CLUMP and SHAPE for particle representation.