جستجوی استاد راهنمای دانشگاهی

Anil Madhavapeddy serves as Professor of Planetary Computing at the University of Cambridge's Department of Computer Science and Technology and directs the Cambridge Centre for Carbon Credits (4C). A Fellow of Pembroke College, he integrates systems research with environmental conservation through the Computer Laboratory's Environment and Energy Group. His career spans industry leadership (NetApp, Citrix, Intel), academic appointments (Cambridge, Imperial, UCLA), and entrepreneurial ventures (XenSource, Unikernel Systems, Docker). Madhavapeddy earned his PhD at Cambridge's Computer Laboratory in 2006. His research bridges computational systems and planetary-scale environmental challenges, with deep expertise in open-source development (OCaml, Xen, Docker, OpenBSD) and technology strategy advising for organizations including Zededa, Tezos Foundation, and Tarides. His work centers on environmental computing and climate informatics, leveraging distributed systems and functional programming to develop sensing infrastructure for conservation. Recent projects focus on carbon credit systems, AI-driven biodiversity monitoring, and sustainable computing architectures that minimize ecological footprints while maximizing analytical capability. Analysis of his 2025 publications reveals a concentrated effort on AI-integrated conservation tools, privacy-preserving carbon accounting, and energy-efficient computing. Key themes include spatial networking for ecological data, LLM-enhanced evidence retrieval in conservation science, and novel metrics for extinction risk assessment—demonstrating computational innovation applied to urgent planetary boundaries. No scientific awards were documented in the source material. Madhavapeddy advises multiple technology firms on strategic development while leading the Cambridge Centre for Carbon Credits, though specific grant funding details remain unreported. He actively contributes to the Environment and Energy Group at Cambridge's Computer Laboratory and directs the interdisciplinary Cambridge Centre for Carbon Credits (4C). His open-source leadership spans critical infrastructure projects including OCaml, Xen, and Docker, fostering collaborative development communities that underpin modern cloud and container technologies.

• Environmental Computing
• Climate Change Informatics
• Distributed Systems
• +۵ مورد دیگر

Ludger Klein is a Professor at the Ludwig-Maximilians-Universität München (LMU Munich) and leads the Department of Immunology . He serves as Group Leader and Scientific Manager of the Flow Cytometry Facility at the Biomedical Center Munich. T cell Development Central Tolerance Regulatory T Cells T Cell Repertoire Analyses His research focuses on understanding how the thymic microenvironment orchestrates T cell fate decisions, particularly through mechanisms like deletion of self-reactive T cells and induction of regulatory T cells. Recent publications highlight studies on T cell receptor dynamics, MHCII regulation in cortical epithelial cells, and the role of thymic B cells in antigen presentation for tolerance induction. Key collaborators and advisees include doctoral researchers like Joao Teixeira de Freitas , Madlen Steinert , and Chunyan Wu , as well as former PhD students such as Tobias Haßler and Julia von Rohrscheidt . Ludger Klein's lab is based at the Biomedical Center Munich, with expertise in flow cytometry and immune tolerance mechanisms. The group has published extensively on T cell biology and autoimmune disease prevention.

• Immunology
• T Cell Development
• Central Tolerance
• +۲ مورد دیگر

Gérard Berry (born December 25, 1948) is a distinguished French computer scientist currently serving as Professor at the Collège de France, holding the permanent chair Algorithmes, machines et langages (Algorithms, Machines, and Languages) since 2012. He previously held the Informatique et sciences numériques chair (2009-2010) and the Technological Innovation Liliane Bettencourt chair (2007-2008) at the same institution. Before joining Collège de France full-time, he served as Director of Research at INRIA Sophia Antipolis (2009-2012) and at École des Mines de Paris (1977-2001). His research spans over 30 years in three main fields: lambda calculus and functional programming, parallel and real-time programming languages, and design automation for synchronous digital circuits. He is particularly renowned for developing the Esterel programming language. His work bridges theoretical computer science with practical industrial applications. Berry's research has evolved to include current work in Hop and HipHop for Web programming, formal verification of compilers, and languages for computer music. His publications demonstrate consistent contributions to programming language theory, formal methods, and their applications in hardware and software systems. Gold Medal of CNRS (2014) Chevalier de l'Ordre de la Légion d'Honneur (2012) Member of French Academy of Sciences (2002) Member of Academia Europaea (1993) Monpetit Prize of Académie des sciences (1990) Berry has advised 17 PhD students and reviewed numerous theses. His industrial experience includes serving as Chief Scientist Officer of Esterel Technologies (2000-2009), where he directed the implementation of the Esterel v7 compiler. He has also held significant leadership roles including President of the Scientific Council of IRCAM and membership on the Scientific Council of the National Education. His teaching at Collège de France has covered topics ranging from the foundations of computation to the societal impact of digital technology, with courses including The Informatics of Time and Events and Proving Programs: Why? When? How? His laboratory work has focused on developing practical applications of theoretical computer science concepts.

• Computer Science
• Lambda Calculus
• Functional Programming
• +۵ مورد دیگر

Dessislava Georgieva Petrova-Antonova is a Professor at Sofia University's Faculty of Mathematics and Informatics , specializing in the Department of Software Technologies . Her work focuses on service-oriented architectures, web services, and big data systems for smart cities. She holds a PhD in Software Technologies from Technical University of Sofia (2007) and an MSc in Computer Systems and Control (2000). PhD: Technical University of Sofia, Faculty of Computer Systems and Control (2007) MSc: Technical University of Sofia, Faculty of Computer Systems and Control (2000) Research Interests: She pioneers methodologies for testing web service compositions (e.g., TASSA ), develops big data platforms for smart governance, and explores digital twin modeling for urban environments. Her projects integrate IoT, quality of service (QoS) frameworks, and data-driven policy tools. Projects: Leads initiatives like National CogniTwin (National Science Fund, 2019–2022) and Big4Smart (NSF, 2017–2020). Collaborates in EU programs such as Digital Twin Cities Centre (2020–2025) and People Network+ (FP7, 2012–2013). Labs & Collaborations: Affiliated with the GATE Center of Excellence and contributes to international teams in big data and smart city research. Her work bridges academia and industry through tools like TESSI (Web Service Testing Tool) and faultInjector (BPEL Fault Injection Tool).

• Service-Oriented Architectures
• Web Services
• Distributed Systems
• +۲ مورد دیگر

Dr. Xiaojun Cao is a faculty member at the Andrew Young School of Policy Studies, Georgia State University, specializing in optical and wireless network architectures, protocols, and security. His research addresses challenges in bandwidth scalability, network survivability, and future Internet design through innovations in multi-granular switching, traffic grooming, and cross-layer interactions. B.S., Engineering Physics, Tsinghua University, 1996 M.S., Electrical Engineering, Chinese Academy of Sciences, 1999 Ph.D., Computer Science and Engineering, State University of New York at Buffalo, 2004 His work spans three core areas: Optical Network Optimization : Developing waveband switching frameworks for backbone networks, focusing on multi-layer architectures and performance evaluation. Network Survivability : Designing proactive and reactive strategies for protection and restoration in optical and wireless systems. Edge Network Security : Advancing secure service function chain deployment in multi-vendor and zero-trust environments. Recent research trends highlight his leadership in Network Functions Virtualization (NFV) , Edge Computing , and AI-Driven Networking , with publications on blockchain-based federated learning, prompt chain deployment, and asymmetric protection mechanisms. His work bridges theoretical rigor with practical applications in 5G/6G, UAV networks, and smart infrastructure. Dr. Cao leads a research group exploring optical-wireless convergence and has contributed to foundational studies in network virtualization and traffic management.

• Optical Networks
• Wireless Networks
• Network Security
• +۳ مورد دیگر

Dr. León Poblete serves as an Associate Professor at Uppsala University's School of Business and Economics and as a Senior Research Fellow at the University of Sydney Business School. His academic career spans multiple institutions including Chalmers University of Technology, Södertörn University, and BI Norwegian Business School. Dr. Poblete holds a Ph.D. and M.Sc. in Business and Economics from Uppsala University, with portions of his doctoral studies conducted at Harvard University's Kellogg School of Management and the University of Michigan. His research focuses on interorganizational relationships and complex industrial networks, with the aviation industry serving as a primary empirical context. His publication record demonstrates consistent contributions to leading business journals including Industrial Marketing Management, Long Range Planning, Journal of Business Research, and Harvard Business Review. His research trajectory shows a clear focus on relationship reactivation processes, beginning with his 2017 doctoral dissertation on defense industry relationships and continuing through recent publications examining business operations after disruptions and relationship reconstitution. Challenges with collaboration in infrastructure construction (2024) Value co-creation in well-being ecosystems (2023) Resuming business operations after hiatus (2022) Reconstitution of broken interfirm relations (2021) Dr. Poblete has received recognition for guiding students to win the global L'Oréal Brandstorm competition in 2021. His teaching spans multiple programs including the Master Programme in Business and Economics at Uppsala University, the Master Programme in Sociotechnical Systems Engineering, and various programs at Chalmers University of Technology and Stockholm University. Notably, Dr. Poblete also serves as Venezuela's ambassador to Sweden appointed by interim president Juan Guaidó, frequently contributing to Swedish media discussions about Venezuelan politics and re-democratization processes. This dual role creates a unique intersection between his academic expertise in relationship reactivation and his practical political work.

• Interorganizational relationships
• Complex industrial networks
• Business dynamics
• +۳ مورد دیگر

Anna Lackinger is a PreDoc Researcher and PhD student in the Distributed Systems Group at TU Wien's Faculty of Informatics. Holding a Diplom-Ingenieur (Master's) and BSc from TU Wien, she specializes in edge intelligence and distributed machine learning systems with applications in cloud infrastructure optimization. Education: Diplom-Ingenieur (Master of Science in Engineering), TU Wien, 2023 Bachelor of Science, TU Wien Her research centers on Edge Intelligence and Federated Learning architectures, developing communication-efficient orchestration frameworks for hierarchical learning systems. She pioneers time series prediction techniques for cloud workload forecasting, enabling proactive resource scaling while addressing challenges in heterogeneous IoT environments and communication-constrained distributed systems. Analysis of her publication record reveals consistent focus on adaptive federated learning systems that optimize communication costs while maintaining model accuracy. Her work bridges theoretical AI advancements with practical distributed systems implementations, particularly in edge-cloud continuum scenarios where resource constraints demand innovative orchestration solutions. Professional Service: Reviewer for IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) Reviewer for International Web Information Systems Engineering Conference (WISE) Reviewer for ACM Transactions on Internet Technology (TOIT) Reviewer for IEEE Transactions on Services Computing (TSC) Reviewer for IEEE Internet Computing (IC) Reviewer for IEEE Open Journal of the Computer Society (OJCS) Anna co-advises bachelor's and master's theses in distributed systems and machine learning. She actively contributes to major research initiatives including AloTwin (2023–2025) on reactive federated learning orchestration, INTEND (2024–2026) developing adaptive inference agents, and TEADAL (2022–2025) focused on load-aware federated learning systems. As a core member of TU Wien's Distributed Systems Group, she collaborates on cutting-edge research in edge intelligence and IoT swarm coordination, advancing the RainCloud framework for decentralized heterogeneous IoT systems while contributing to the group's leadership in distributed AI infrastructure.

• Edge Intelligence
• Distributed Inference
• Federated Learning
• +۵ مورد دیگر

Professor Heike Laman is the Head of the Department of Pathology and Professor of Cellular and Molecular Biology at the University of Cambridge , leading research on ubiquitin ligases and their roles in disease. Her work bridges molecular mechanisms to therapeutic applications, focusing on cancer, neurodegeneration, and protein homeostasis. Current affiliation: Department of Pathology, School of the Biological Sciences Resident at Clare College since 2014 (Fellow and Graduate Admissions Tutor) Research Interests: Ubiquitin ligases orchestrate diverse cellular signals beyond protein degradation, influencing activity, localization, and interactions. Key areas include: Cancer: Investigating SCF-Fbxw7 networks in epithelial cancers and cyclin E1 accumulation Neurodegeneration: Fbxo7's role in Parkinson's disease and dopaminergic neuron survival Therapeutic Innovation: Developing PROTACs and nanobodies to target ubiquitin ligases Publication Trends: Recent work spans ubiquitin signaling in cancer metabolism, neuroprotective pathways in Parkinson's, and structure-based design of degraders. Collaborations with AstraZeneca and academic experts highlight translational focus. Scientific Awards: Recognized for academic leadership, including election to Clare College Fellowship (2014) and early career Imperial Cancer Research Fund Fellowship. Advising: Mentors PhD students in projects on ubiquitin ligases, Parkinson's, cancer metabolism, and targeted protein degradation, with lab members working in 3D organoids , mouse models , and hiPSC-derived systems . Labs & Teams: Based at the Department of Pathology (Downing Site, Cambridge), the lab collaborates across Genetics , Pharmacology , and Clinical Neurosciences , with access to the Microscopy Bioscience Platform and Cambridge Stem Cell Institute .

• Ubiquitin ligases
• Cell cycle regulation
• Cancer biology
• +۵ مورد دیگر

Gabriele Costa is an Associate Professor at the SysMA Group of the IMT School for Advanced Studies Lucca. He holds a Laurea and Ph.D. in Computer Science. Previously, he was part of the cybersecurity group at CNR’s Istituto di Informatica e Telematica and served as a visiting researcher at ETH Zurich (2016-2017). He co-founded the Computer Security Laboratory (CSec) at DIBRIS and is CRO of Talos, a cybersecurity spin-off. His research focuses on formal methods for verifying and testing mobile/modular systems, including mobile software, cloud computing, and critical infrastructure security. He has led/co-founded initiatives like the MAVeriC framework for mobile app security and contributed to projects such as SPARTA (EU H2020) and FilieraSicura (CISCO-funded). Costa actively participates in conferences like EuroSP and ITASEC, serving on program committees. His work spans security protocols, penetration testing tools (e.g., MeTeOr), and educational initiatives like cybersecurity games for K-12 students. He emphasizes bridging theory and practice through frameworks like Lidite (digital twins) and tools targeting zero-day malware detection (Z-MDZS).

• Cybersecurity
• Formal Methods
• Mobile Systems Security
• +۵ مورد دیگر

Alireza Furutanpey is a University Assistant (PreDoc Researcher) at TU Wien's Distributed Systems Group within the Institute of Information Systems Engineering, holding a Master's degree with distinction. His academic role combines research in distributed systems with teaching responsibilities for core computer science courses. His educational background includes: Bachelor of Science (BSc) Master of Science (Dipl.-Ing.) with distinction Furutanpey's research centers on Edge Computing and Edge Intelligence, specializing in Distributed Inference, Neural Data Compression, and AI-Systems integration. He pioneers techniques for neural feature compression in satellite/edge environments and develops frameworks for federated learning orchestration under communication constraints. His work bridges theoretical AI with practical system implementation, focusing on resource-constrained scenarios where bandwidth and computational efficiency are critical. Analysis of his 15+ publications reveals dominant trends in neural compression for distributed systems (60%), federated learning optimization (25%), and serverless edge frameworks (15%). Key contributions include solving satellite downlink bottlenecks through feature compression and enabling adaptive inference in heterogeneous edge networks, with methodologies increasingly incorporating generative modeling and robustness against adversarial attacks. Scientific Awards: None documented in available sources. He actively supervises master's theses, guiding students on adversarial machine learning, neural compression, and image retrieval systems. His research is supported through major projects: AloTwin (2023-2025) focusing on edge intelligence, INTEND (2024-2026) on industrial IoT, and TEADAL (2022-2025) on federated learning. He serves as a reviewer for 15+ IEEE/ACM venues including IEEE Transactions on Mobile Computing and ICDCS. Furutanpey operates within TU Wien's Distributed Systems Group, which specializes in edge-cloud continuum research. The team develops tools like faas-sim for serverless edge simulation and explores quantum-classical hybrid architectures, maintaining strong industry collaborations in industrial IoT and satellite communications.

• Edge Computing
• Edge Intelligence
• Distributed Inference
• +۳ مورد دیگر

Wellington De Oliveira Junior is an Assistant Professor at the Faculty of Sciences, University of Lisbon, where he contributes to teaching and research in Computer Science. His work bridges software engineering with sustainability and digital security, with a focus on energy efficiency in computing systems. Education: PhD in Computer Science, Federal University of Pernambuco (2021) Master in Computer Science, Federal University of Pernambuco Bachelor in Computer Science, Federal University of Pernambuco Master in Management Sciences (partial), University of Liège His research interests center on sustainability in computing , energy efficiency , software quality , and security in mobile applications , particularly within Android systems. He explores topics such as energy-aware programming, software performance analysis, and secure mobile development frameworks. His work often intersects technology with sustainable development goals. The recent publications highlight a strong trend in energy-conscious software development , mobile app efficiency , and containerized system monitoring . These works span empirical studies in Java collections, Android development models, and computation offloading, reflecting a consistent focus on optimizing resource usage in software systems. Scientific Contributions: Supervised 4 master's dissertations Co-advised 2 master's students Active researcher in projects involving PhD, master's, and postdoctoral fellowships Published in high-impact journals and conferences in software engineering and systems architecture Wellington has played a significant role in advancing research at the intersection of software engineering and sustainable computing. His advising and project involvement demonstrate a commitment to nurturing academic talent and contributing to impactful technological innovation.

• Sustainability in Computing
• Energy Efficiency
• Software Engineering
• +۱۲ مورد دیگر

Professor A. Wali Karzai is a leading faculty member at Stony Brook University , where he serves as Professor and Chair of the Department of Biochemistry and Cell Biology . A 2003 Pew Scholar in the Biomedical Sciences, he heads the Karzai Lab, which investigates the molecular mechanisms governing protein and RNA homeostasis, ribosome rescue, and post-transcriptional regulation in bacteria. Research Interests: Post-transcriptional regulation of gene expression Protein homeostasis and adaptor-guided proteolysis Quality control of nascent polypeptide synthesis Quality control of mRNA decoding and decay Role of tmRNA/SmpB system in bacterial virulence His group combines classical biochemistry, structural biology, molecular genetics, functional genomics, and bioinformatics to dissect the function of RNA–protein complexes that orchestrate gene expression and protein quality control. Current projects focus on the tmRNA-mediated trans-translation process, nonstop mRNA decay, Lon protease–directed degradation, and the physiological significance of these pathways in pathogenic bacteria such as Yersinia and Francisella . Scientific Awards: Pew Scholar in the Biomedical Sciences (2003) Advising & Mentorship: The Karzai Lab has trained numerous graduate students and postdoctoral researchers. Current lab members include postdocs Thiago Rodrigues, PhD, Melanie Cragan, Javon Lo, and Nina Cheng. Alumni have secured independent positions in academia and industry. The group is actively recruiting graduate students and postdocs interested in RNA biology, proteostasis, and bacterial pathogenesis. Lab & Collaborations: The laboratory is housed within the Centers for Molecular Medicine at Stony Brook University and is equipped for high-resolution structural studies, high-throughput genetics, and quantitative biochemistry. Collaborative projects span microbiology, structural biology, and infectious disease programs across campus and with external partners.

• Post-transcriptional gene regulation
• Proteostasis
• RNA-protein interactions
• +۴ مورد دیگر

Dr. Eng. Joanna Strug is a lecturer at the Department of Automation and Computer Science within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. Her research focuses on software testing methodologies, machine learning applications in test automation, and database technologies. Specialization in mutation testing and fault injection Expertise in UML/OC validation and business process testing Active researcher in relational and non-relational database modeling Recent research trends indicate a focus on database technology performance analysis, including: Comparative benchmarking of relational vs. NoSQL databases Cost optimization in mutation testing using machine learning Structural similarity applications for test classification Validation frameworks for service-oriented architectures Model-based testing of business processes Bytecode-level mutant classification Her work appears in prominent venues including: Information Systems Architecture and Technology Artificial Intelligence and Soft Computing Journal of Engineering International Conference on Software Engineering (ENASE)

• Mutation Testing
• Model Validation
• Software Engineering
• +۹ مورد دیگر

Kirsten Hermes serves as Senior Lecturer in Music Performance Technology at the University of Westminster since 2016, merging academic research with professional practice as electronica artist Nyokee. Her work bridges psychoacoustic engineering, electronic music performance, and creative technology development. Her educational foundation includes an EPSRC-funded PhD in Sound Recording and Psychoacoustic Engineering from the University of Surrey, where her thesis focused on spectral clarity predictors in music mixes. Research centers on automatic music mixing tools and spectral clarity modeling , expanding into AI's impact on creativity, virtual artist identities, and chiptune culture. Recent work examines pandemic adaptations in online music communities and audiovisual integration in live electronic performance, emphasizing practical applications for musicians. Analysis of her 15 most recent publications (2021-2025) reveals an evolution from core psychoacoustic research toward interdisciplinary exploration of AI, virtual performance, and cultural adaptation in electronic music. Key trends include human-AI collaboration frameworks, chiptune's digital resilience, and the role of 3D avatars in artist identity construction. She currently supervises doctoral researcher Clara Colotti, whose thesis investigates audiovisual expansion of orchestral cultural scope. While specific grant details aren't provided, her EPSRC-funded PhD demonstrates research funding capability. Affiliated with the university's Music Research Group, she actively engages the electronic music community through Nyokee performances at MAGfest, Comic Con, and Hyper Japan, blending academic inquiry with stage practice.

• Automatic Music Mixing
• Spectral Clarity
• Psychoacoustics
• +۵ مورد دیگر

Pedro Jose Sousa Da Fonseca is an Assistant Professor in the Department of Computer Science at Purdue University, where he leads the Reliable and Secure Systems Lab. His research focuses on building reliable and secure systems, particularly in core software components like operating systems, hypervisors, and distributed systems. He joined Purdue in Fall 2018 and has received awards including the NSF CAREER Award and Google Faculty Research Awards. Education: PhD from Max Planck Institute for Software Systems and University of Saarland (advised by Rodrigo Rodrigues), postdoc at University of Washington (with Arvind Krishnamurthy, Hank Levy). Research interests span system reliability, security, and concurrency testing. His work includes frameworks like MultiNyx for hypervisor analysis, SKI for kernel bug detection, and KARD for data race detection. Teaching includes courses on Operating Systems (CS503), Reliable and Secure Systems (CS592), and Software Testing (CS408). Active in academic service as PC member for OSDI, EuroSys, and SOSP. Advises PhD students on topics like kernel testing, serverless computing, and confidential cloud systems. Awards: NSF CAREER Award (202?), Google Faculty Research Award, Google Research Scholar Award. Over 30 publications in top venues like SOSP, OSDI, EuroSys, and ASPLOS. Collaborations with institutions like MPI-SWS, University of Washington, and industry partnerships with Google.

• Computer Security
• Operating Systems
• Distributed Systems
• +۳ مورد دیگر