جست‌وجوی استاد و پژوهشگر

Linda Baumbachمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Medical Informatics
• Federated Learning
• +۵ مورد دیگر

Dr. Linda Baumbach is a Researcher at the University of Hamburg's Center for Bioinformatics (ZBH), affiliated with the Genome Informatics department. Her work focuses on bioinformatics applications in healthcare, particularly federated learning, privacy-preserving technologies, and osteoarthritis management. She investigates personalized medicine, physical activity impacts on chronic conditions, and healthcare system improvements. Research Interests Her interdisciplinary research spans federated machine learning for biomedical data, predictive modeling in osteoarthritis treatment outcomes, and leveraging AI for systematic literature analysis. She explores innovative approaches to data privacy in genomic studies and evaluates cost-effectiveness of physiotherapy interventions. Key Contributions Dr. Baumbach co-developed the FeatureCloud platform for federated learning, enabling collaborative research while adhering to data protection laws. Her studies on GLA:D® programs highlight exercise therapy benefits for knee osteoarthritis patients. She also addresses challenges in implementing personalized predictive models and advancing LLM-driven literature screening. Professional Activities She contributes to academic committees at the Center for Bioinformatics and collaborates internationally on projects like the GLA:D initiative and JIGSAW-E quality improvement program. Her work bridges computational methods with clinical needs, emphasizing translational research.

Julian Adametzمشاهده پروفایل

پژوهشگر

• Millimeter-Wave Imaging
• Radar Systems
• Polarimetric Techniques
• +۴ مورد دیگر

Julian Adametz is a Researcher at the Department of Electrical Engineering, Electronics and Information Technology (EEI) at Friedrich Alexander University of Erlangen-Nuremberg, affiliated with the Chair of High Frequency Engineering and the Institute of Microwaves and Photonics (LHFT). His research focuses on millimeter-wave imaging, radar systems, polarimetric techniques, and security scanning. He holds a Diplomingenieur (Dipl.-Ing.) from FAU, awarded in 2009. Notable achievements include the 2010 Argus Award from EADS/Cassidian and the 2011 Best Paper Award at the German Microwave Conference (GeMiC). Education: Began studying electrical engineering, electronics, and information technology (EEI) at FAU in 2003, graduating in 2009. Research emphasizes millimeter-wave imaging, security scanning technologies, and non-destructive evaluation of materials. Key research interests include polarimetric decomposition techniques, MIMO radar systems, and applications in security and industrial automation. His work bridges theoretical advancements with practical implementations in imaging systems and sensor technologies. Publications highlight contributions to radar-based threat detection, calibration methods for imaging systems, and novel approaches to non-destructive evaluation using SAR and millimeter-wave techniques. Awards underscore his impact in microwave and radar engineering. Labs/Teams: Active in the Institute of Microwaves and Photonics (LHFT), collaborating on projects involving radar imaging, sensor systems, and polarimetric innovations.

• Data Mining
• Database Systems
• Temporal Databases
• +۴ مورد دیگر

John F. Roddick is a Professor affiliated with Flinders University in South Australia. His research focuses on data mining, database systems, and temporal databases, with significant contributions to association rule mining, schema evolution, and privacy-preserving techniques. He has collaborated extensively with researchers like Shu-Chuan Chu and Jeng-Shyang Pan, producing over 138 publications across journals and conferences. Key contributions include work on schema versioning, temporal vacuuming in databases, and algorithms for wireless sensor networks. His research extends to image processing, biometrics, and swarm intelligence, with notable applications in traffic prediction and secure communication systems. He has edited conference proceedings and contributed to encyclopedic entries on database systems and data warehousing. Roddick's work often bridges theoretical foundations with practical applications, emphasizing interdisciplinary approaches to data management challenges. His publications span venues such as IEEE Transactions on Knowledge and Data Engineering, Data & Knowledge Engineering, and the Journal of Network and Intelligence.

• Machine Learning
• Control Systems
• Computer Vision
• +۳ مورد دیگر

Jian Sun is a researcher affiliated with the Chinese Academy of Sciences' Institute of Computing Technology. His work spans interdisciplinary fields including machine learning, control systems, robotics, and signal processing. He collaborates with institutions globally to advance theoretical and applied research in computational methods and their real-world applications. Research interests focus on machine learning for healthcare diagnostics, optimization algorithms for complex systems, and sensor fusion technologies for autonomous systems. Recent work emphasizes applications in cognitive impairment detection, UAV-based communication systems, and crystal structure prediction. Publications highlight advancements in adaptive control methodologies, cybersecurity in control systems, and 3D reconstruction techniques. His contributions bridge theoretical foundations with practical implementations in robotics, aerospace, and environmental monitoring.

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۷ مورد دیگر

Professor Yi-Ping Hung is a distinguished faculty member in the Department of Computer Science and Information Engineering at National Taiwan University's College of Electrical Engineering and Computer Science. With a prolific publication record spanning over three decades from 1988 to 2025, Professor Hung leads research at the intersection of virtual reality, human-computer interaction, and computer vision. Their work bridges theoretical innovation with practical applications in health monitoring, biomechanics, and immersive technologies. Professor Hung's research interests focus on creating novel interaction paradigms for virtual and augmented reality environments, with particular emphasis on multisensory feedback systems. Their lab has pioneered approaches for haptic feedback, gaze-based interaction, and physiological response integration in immersive environments. Recent work explores breathing-integrated relaxation techniques, wind simulation for VR, and personalized biofeedback systems that demonstrate the translational impact of their research. Analysis of publication trends reveals a consistent focus on making virtual experiences more natural and embodied, with increasing integration of machine learning techniques in recent years. Professor Hung's team has developed innovative systems for Tai Chi training, archaeological simulation, and mental wellness applications that showcase practical implementations of their research. Professor Hung has mentored numerous graduate students who have become first authors on significant publications, including Ping-Hsuan Han, Yang-Sheng Chen, and Kuan-Wei Tseng. The research group maintains strong collaborations across disciplines and has secured funding for projects spanning VR hardware development, health monitoring systems, and cultural heritage applications. Current research directions include blockchain applications for environmental stewardship, advanced avatar creation techniques using generative models, and sophisticated sensor fusion approaches for precise indoor localization. The lab continues to push boundaries in creating more immersive, natural, and beneficial human-computer interaction experiences.

Sebastian Faustمشاهده پروفایل

استاد

• Cryptography
• Applied Cryptography
• Side-Channel Attacks
• +۵ مورد دیگر

Professor Sebastian Faust is a faculty member in the Department of Computer Science at Technical University of Darmstadt, where he heads the Applied Cryptography department. He has been at TU Darmstadt since 2017, holding a full professorship. His research focuses on applied cryptography with applications in blockchain security, side-channel resistance, and secure multi-party computation. Professor Faust's educational background includes: Doctorate from KU Leuven, Belgium (2010) Postdoctoral fellowship at Aarhus University, Denmark Marie Curie IEF scholarship at EPFL, Switzerland Assistant professor position at Ruhr University Bochum Professor Faust's research interests span multiple areas of cryptography and security. He specializes in developing practical cryptographic solutions that are resilient against real-world attacks, particularly side-channel attacks and implementation-level vulnerabilities. His work bridges theoretical cryptography with practical implementation concerns, focusing on making cryptographic systems secure against both passive observation and active fault injection. He has made significant contributions to masking schemes, threshold cryptography, and blockchain security protocols. His research often addresses the gap between theoretical security guarantees and practical implementation challenges. Analysis of Professor Faust's recent publications (2023-2025) reveals a strong focus on practical cryptographic applications, particularly in blockchain and cryptocurrency security. His work addresses critical challenges like MEV (Miner Extractable Value) prevention, secure wallet implementations, and threshold cryptography for decentralized systems. He continues to advance fundamental cryptographic techniques like secret sharing and masking schemes, with a particular emphasis on making these techniques practical for real-world implementation. His research demonstrates a consistent trajectory from theoretical foundations to practical applications. Professor Faust has received numerous prestigious awards: Copernicus Award (2020) 2nd place with Perun in the category scientists at the TU Ideas Competition (2019) DFG Emmy Noether Programme for project "Cryptography beyond the black-box model" (2015) Best paper award at Eurocrypt 2014 for "Unifying leakage models: from probing attacks to noisy leakage" (2014) Marie Curie Fellowship (2013) Microsoft Research PhD Scholarship (2007) Professor Faust leads an active research group focusing on applied cryptography. His research has been supported by prestigious grants including the DFG Emmy Noether Programme, which provides exceptional early-career researchers with the opportunity to qualify for professorship by leading an independent junior research group. His work on the Shutter Network represents a significant practical application of his research in threshold cryptography for real-world blockchain systems. He has advised numerous PhD and Master's students who have gone on to contribute to both academia and industry. Professor Faust heads the Applied Cryptography research group at TU Darmstadt. This group focuses on bridging the gap between theoretical cryptography and practical implementation security. Their work encompasses side-channel resistance, secure multi-party computation, blockchain security, and cryptographic protocol design. The group maintains strong collaborations with both academic institutions and industry partners to ensure their research addresses real-world security challenges.

Prathibha Mahanamahewaمشاهده پروفایل

مدرس ارشد

• IT Law
• Data Protection Law
• Human Rights
• +۴ مورد دیگر

Dr. Prathibha Mahanamahewa serves as the Rector of the Sri Palee Campus, University of Colombo, and is a Senior Fellow at the Centre for Advanced Study (since 2024). He holds a Ph.D. in Law (University of Queensland, 2006), LL.M. (University of Melbourne, 2000), and LL.B. (University of Colombo, 1993). His research focuses on IT law, data protection, human rights, and privacy. He has held roles as a Senior Lecturer in Law at the University of Colombo, Commissioner of the Human Rights Commission of Sri Lanka (2015), and has contributed to international bodies like the UN Human Rights Council. His work bridges legal frameworks with digital transformation, emphasizing ethical governance in technology. Education: Ph.D. in Law, University of Queensland, Australia (2006) LL.M. (Honours) in Commercial Law, University of Melbourne, Australia (2000) LL.B. (Honours), University of Colombo, Sri Lanka (1993) Key Roles: Rector, Sri Palee Campus, University of Colombo (2021–present) Senior Fellow, Centre for Advanced Study (2024–present) Former Human Rights Commissioner, Sri Lanka (2015) Founder Dean, Sir John Kothelawala Defence University (2011–2015) His research explores intersections between technology and law, including privacy in digital spaces, cyber governance, and human rights advocacy. He has authored over 55 publications, including peer-reviewed articles and book chapters. Awards include the Best Research Paper 2014 at the Kotelawala Defence University Conference. He advises graduate students in law, computer science, and international studies across multiple universities in Sri Lanka, Nepal, and the UK. Dr. Mahanamahewa actively engages in policy-making through roles like Chairman of the Sri Lanka Bar Association’s IT Law Committee and membership in EQUAL GROUNDS’ advisory board. He lectures widely, including at the University of Moratuwa’s Engineering department and the Sri Lanka Police Academy.

Laura Ulrichمشاهده پروفایل

پژوهشگر

• European Integration
• International Organizations
• Climate Change Policy & Sustainability
• +۳ مورد دیگر

Laura Ulrich is a Researcher at the Chair of International Politics, Institute of Political Science at Johannes Gutenberg University Mainz. She holds a Master of Arts in Political Economy & International Relations from the same institution. Currently on maternity/parental leave since December 2024, her work focuses on European integration, climate policy, and digital teaching innovation. Education highlights include: MA in Political Economy & International Relations (2023, Mainz) BA in Political Science & Hispanic Studies (2020, Mainz) BA in International Culture and Management (2014, Cologne Business School) Her research explores: Climate change mitigation strategies and energy cooperatives EU-US relations post-Brexit Neofunctionalist theories of European integration Political economy of Latin America Collaboration projects include: FORTHEM Lab Experiencing Europe ModeLL-M (digitally enhanced teaching) Professional memberships include the German Political Science Association (DVPW) and Cologne Forum for International Relations and Security Policy (KFIBS).

Anum Talpurمشاهده پروفایل

پژوهشگر ارشد

• Network Security
• Cybersecurity
• Intrusion Detection and Prevention
• +۳ مورد دیگر

Dr. Anum Talpur is a Research Fellow at the University of Hamburg's Department of Computer Networks under Prof. Dr. Mathias Fischer. Her work focuses on Network Security, AI-driven cybersecurity solutions, and resilient infrastructure protection. She is affiliated with the Faculty of Mathematics, Informatics and Natural Sciences and contributes to projects like SOVEREIGN, a critical infrastructure security initiative. Research interests include intrusion detection systems, QUIC protocol security, and vehicular network security. Recent publications explore load balancing vulnerabilities, holistic infrastructure defense frameworks, and ML applications in vehicular networks. She collaborates with researchers such as Liliana Kistenmacher and Prof. Fischer on projects addressing cutting-edge cybersecurity challenges. Her work integrates theoretical advancements with practical implementations for modern networked systems.

Eveline M.F.W Compaoreمشاهده پروفایل

پژوهشگر

• Agricultural Innovation Systems
• Climate Change Adaptation
• Gender and Diversity Studies
• +۳ مورد دیگر

Dr. Eveline M.F.W Compaore is a prominent researcher and academic affiliated with the University Joseph Ki-Zerbo and the Institut de l'Environnement et de Recherches Agricoles (INERA) in Burkina Faso. She holds a PhD in Sociology from the University of Nottingham and leads the Socio-Economy Unit at INERA. Her roles include coordinating the Gender and Diversity Office at the African Cluster Centres (ACC) since 2021 and teaching modules on innovation and sustainable development at the University Joseph Ki-Zerbo. Her research focuses on agricultural innovation systems, climate change adaptation, gender equity, and public policy. Notable contributions include analyzing biotechnology controversies in cotton production, seed system governance, and intersectionality in agricultural practices. She actively participates in national climate change adaptation initiatives and international projects funded by EU and German institutions. Eveline has authored over 20 peer-reviewed publications and policy briefs, including works on cowpea production dynamics, millet value chains, and agro-ecological transitions. She received the AWARD laureate and Best Performance in Agricultural Research awards, recognizing her impactful contributions to development-oriented research.

Jesko Hirschfeldمشاهده پروفایل

استاد مهمان

• Ecological-Economic Valuation of Ecosystem Services
• Economics of Climate Change
• Policy Simulation Models
• +۳ مورد دیگر

Prof. Dr. Jesko Hirschfeld holds Visiting Professorships in Environmental Economics at Humboldt University of Berlin (since 2022) and Landscape Economics at Technical University of Berlin (since 2002). He previously conducted research at the Institute for Ecological Economy Research (IÖW), Berlin, and earned his PhD in Economics from the University of Göttingen (2001–2002). His research focuses on ecological-economic valuation of ecosystem services, climate change economics, policy simulation models, and sustainable management of land/water resources, coastal zones, and urban areas. He has authored/co-authored over 50 publications since 1999, including influential works on groundwater sustainability, urban green space valuation, and climate adaptation strategies. His teaching includes environmental policy courses at TU Berlin and supervising student theses. He currently advises on climate resilience and resource economics at the Albrecht Daniel Thaer Institute of Agricultural and Horticultural Sciences. Academic Career Highlights: Visiting Professorships since 2002+2022 PhD in Economics from University of Göttingen Research experience in policy analysis, environmental modeling, and sustainability science Research Interests His work bridges economics and ecology to address global challenges: Quantifying ecosystem services to inform land-use policies Evaluating climate change impacts on water resources and urban environments Developing policy tools for sustainable resource management Recent Research Trends Publications since 2019 reflect growing focus on: Urban green infrastructure valuation Groundwater security under climate change Multi-criteria decision modeling for river basins Teaching & Mentorship Supervised bachelor/master theses on sustainability topics at TU Berlin and Berlin School of Economics. Contributed to interdisciplinary courses on environmental policy and climate adaptation strategies.

Vladislav Mladenovمشاهده پروفایل

پژوهشگر

• Information & Data Security
• Authentication & Authorization
• Data Format Security
• +۵ مورد دیگر

Vladislav Mladenov is a PostDoc at Ruhr University Bochum (Faculty of Computer Science) , affiliated with the Chair for Network and Data Security . He serves as Project Coordinator for the North Rhine-Westphalian Experts on Research in Digitalization (NERD II) and an Associated Principal Investigator at the Cluster of Excellence CASA (Cyber Security in the Age of Large-Scale Adversaries). Academic Background: Dipl.-Ing in IT-Security (Ruhr University Bochum, 2004–2012) Ph.D. in Network and Data Security (2012–2017) Research Interests span Information & Data Security , Authentication & Authorization Protocols , Data Format Security (JSON, XML, PostScript), and Network Protocols Security . His work focuses on vulnerability discovery in enterprise systems, IoT, and web standards. Scientific Contributions include analyses of PDF document security, 3D printing protocols, and Single Sign-On implementations. He has contributed to international standards via ISO/DIN working groups and the PDF Association . Scientific Awards: Excellent Teaching Award (2024) DFG Project Grant (2022) CSAW Best Paper Awards (2019, 2022) Eurobits Excellence Award (2019) CAST IT-Security Award (2017)

• Semantic Communication
• Resource Allocation Mechanisms
• 6G Networks
• +۳ مورد دیگر

Alexander Griessel is a Researcher and PhD candidate at the Chair of Communication Networks (Prof. Wolfgang Kellerer) at the Technical University of Munich (TUM). He holds a B.Sc. (June 2020) and M.Sc. (December 2021) in Electrical and Computer Engineering from TUM. His research focuses on Resource Allocation Mechanisms in Semantic Communication , particularly addressing resilience and efficiency in 6G channels. He contributes to the Semantic Communication project and serves as a teaching associate for the Internet Kommunikation course. His work spans semantic resilience strategies , real-time video/image communication , and 6G network design . Recent research includes lossy coding techniques for semantic images, adaptive systems for challenging 6G environments, and non-invasive sensor solutions for infrastructure monitoring. His publications also explore cybersecurity (website fingerprinting) and reinforcement learning for network trace generation. Alexander actively supervises master's theses on topics like semantic symbol prioritization and reliability analysis in 5G/6G channels. He collaborates on TUM's 6G testbed initiatives and contributes to the 6G-life and Flexibility research networks. His interdisciplinary approach bridges communication theory with practical network implementations.

• Networked Control Systems
• Software-Defined Networking
• Cybersecurity
• +۳ مورد دیگر

Hasan Yagiz Özkan is a Scientific Staff member at the Chair of Communication Networks at Technische Universität München. His research focuses on networked control systems, software-defined networking, cybersecurity, and real-time communication protocols. He contributes to projects such as the ERC Network Flexibility initiative and the 6G Future Lab Bavaria. Recent work includes advancements in task-oriented scheduling for networked control systems and intrusion detection using machine learning. His publications span topics like bug resolution prediction in softwarized networks and age-of-information-aware frameworks. He has collaborated on papers addressing network reliability, software-defined radio implementations, and contrastive pretraining for cybersecurity. His inactive status may pertain to a specific role, but he remains active in academic research and publications.

• Federated Learning
• Edge Computing
• Mobile Computing
• +۴ مورد دیگر

Zimu Zhou is an Assistant Professor at Tsinghua University's School of Software, Department of Computer Science and Technology, specializing in federated learning, edge computing, and mobile systems. With an extensive publication record spanning from 2018 to 2025, Dr. Zhou has established themselves as a leading researcher in distributed machine learning systems. Dr. Zhou's research focuses on federated learning systems , mobile AI optimization , and spatial data processing . Their work addresses critical challenges in distributed machine learning including data heterogeneity, communication efficiency, privacy preservation, and practical deployment constraints. Recent research has expanded into federated large language models and advanced personalization techniques for mobile environments. Analysis of Dr. Zhou's publication trends reveals a strong emphasis on practical deployment of federated learning systems, with increasing focus on real-world applications in mobility, urban computing, and AIoT. Their work bridges theoretical advances with practical implementations, as evidenced by multiple publications in top-tier systems and AI conferences. Best Paper Award, MobiCom 2024 ACM SIGSPATIAL Best Paper Honorable Mention, 2022 Dr. Zhou has supervised several PhD students who have become active contributors in the field, including Xiaochen Li, Sicong Liu, and Yexuan Shi. Their research has been supported by multiple grants focused on edge intelligence and privacy-preserving distributed learning. Current projects include federated reasoning with large language models and resource-efficient AIoT systems. Dr. Zhou leads the Distributed Intelligence Lab at Tsinghua University, which focuses on building practical frameworks for decentralized machine learning across mobile and edge environments. The lab collaborates with industry partners to deploy federated learning solutions in real-world settings.