جستجوی استاد راهنمای دانشگاهی

• Algebraic Geometry
• Hyperkähler Manifolds
• Rozansky-Witten Invariants
• +۳ مورد دیگر

Prof. Dr. Marc Nieper-Wißkirchen is a University Professor (W3) for Algebra and Number Theory at the Institute of Mathematics, University of Augsburg, since 2008. He has held visiting positions at the Max Planck Institute for Mathematics in Bonn and the University of Cambridge, and served as a Junior Professor at Johannes Gutenberg University Mainz (2004–2008). Since October 2021, he has been Vice Dean of the Faculty of Mathematics, Natural Sciences and Technology (MNTF). Education: Diploma in Mathematics (2000) from the University of Cologne, preceded by preliminary diplomas in physics (1997) and mathematics (1997). His doctoral studies (2000–2002) under Prof. Daniel Huybrechts focused on characteristic classes and Rozansky-Witten invariants of hyperkähler manifolds. His research spans algebraic geometry, differential geometry, and mathematical physics, with a focus on hyperkähler manifolds, Hilbert schemes of points, irregular singular connections, and Stokes phenomena. He has contributed to the understanding of Rozansky-Witten invariants, Chern numbers, and topological aspects of differential equations. Recent publications include works on Betti structures of hypergeometric equations (2022) and Stokes matrices for confluent hypergeometric equations (2022), reflecting his ongoing exploration of differential equations' geometric underpinnings. Earlier works address Hochschild homology, equivariant cohomology, and operads in algebraic contexts. His computational contributions include software demonstrations for elliptic curve arithmetic, Collatz sequences, and Google Matrix simulations. Technical expertise includes programming languages (TeX, PHP, HTML) and systems (Unix/Linux, Zope/Plone).

• Software Reusability
• Reverse Inheritance
• E-Learning
• +۵ مورد دیگر

Ciprian Bogdan Chirila is a Senior Lecturer at the University Politehnica of Timisoara (Faculty of Automation and Computer Science, Computing and Information Technology Department) and also teaches at Ioan Slavici University . His career spans over two decades, with roles in teaching, research, and software development. Education : PhD in Computer Science (2010, University Politehnica Timisoara & University Nice-Sophia Antipolis) Master's in Computer Science & Software Engineering (2002) Engineer Diploma in Automation & Computer Science (2001) Analyst-Programmer Diploma (1996) Research Interests : His work focuses on reverse inheritance for software reusability, generative learning objects for education, and software quality assessment using code metrics. He explores interdisciplinary applications in healthcare, mathematics education, and industrial IT services. Article Trends : Recent publications emphasize adaptive e-learning frameworks , gamification in education , and model-driven development . Key themes include automated assessment , dynamic content generation , and integration of standards like SCORM and xAPI . Scientific Awards : Microsoft Award, Student Scientific Communications Session (2001) Award, Student Scientific Communications Session (2002) Third Place, Mechanics and Robotics Contest (1998) Fourth Place, Traian Lalescu Mathematics Contest (1998) Teaching & Development : He has led laboratory sessions and lectures in Data Structures , Compiler Design , Operating Systems , and Heuristic Methods . He organizes programming contests and develops centralized materials management software as a volunteer engineer.

• Cybersecurity
• Network Security
• Automotive Cybersecurity
• +۵ مورد دیگر

Mirco Marchetti is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering 'Enzo Ferrari'. He specializes in cybersecurity, network security, and automotive systems. His teaching responsibilities include courses on cybersecurity fundamentals, computer networks, operating systems, and automotive cyber defense. Research interests focus on intrusion detection systems (IDS), vehicular networks (VANETs), machine learning applications in cybersecurity, and automotive cybersecurity. He has contributed to projects like HackCar (automotive attack/defense testbed) and RealCAN (real-time CAN bus analysis tools). His work also explores adversarial attacks on ML-based systems and secure communication protocols for industrial and vehicular systems. Recent publications emphasize automotive cybersecurity (e.g., Mercedes-Benz infotainment system analysis, CAN bus anomaly detection), ML robustness against adversarial attacks, and zero-trust architectures. He collaborates with the SECloud research group (secloud.ing.unimore.it) and uses experimental platforms like Software-Defined Radios for security evaluations. Teaching responsibilities span multiple academic programs including Master's degrees in Computer Engineering and Artificial Intelligence Engineering. Courses emphasize practical skills in Linux/Unix administration, network configuration, and embedded system security.

• Networking
• Distributed Systems
• Vehicular Ad-Hoc Networks
• +۳ مورد دیگر

Rui Manuel Pacheco Meireles is an Assistant Professor in the Computer Science Department at Vassar College since 2017. He is also a Researcher at the Instituto de Telecomunicações in Portugal. His research focuses on networking and distributed systems, particularly in Vehicular Ad-Hoc Networks (VANETs), aiming to enhance traffic safety, efficiency, and passenger entertainment through wireless vehicle communication. He holds dual PhDs from Carnegie Mellon University and the University of Porto, alongside an MS from Carnegie Mellon University. Education: PhD in Computer Science, Carnegie Mellon University PhD in Computer Science, University of Porto MS in Computer Science, Carnegie Mellon University Research Interests: Rui’s work emphasizes applied and experimental research, designing protocols, creating prototypes, and evaluating them in real-world environments. His primary focus is on vehicular networks, including Wi-Fi-based communication between vehicles and infrastructure. His contributions span network selection algorithms, throughput estimation, and geolocation-based sector selection for 802.11ad protocols. His research also touches on HTTP/2 performance analysis and testbed development like HarborNet. Publications: Rui has authored over 15 peer-reviewed articles, with recent work including Wi-Fi network diversity exploration and practical network selection protocols for vehicle-to-infrastructure communication. His 2016 paper on the LASP protocol won the Best Paper Award at IEEE VNC. Awards: Best Paper Award at IEEE Vehicular Networking Conference (VNC) 2016 Teaching: Rui teaches courses such as CMPU 203 (Software Design and Implementation) and has previously instructed data structures, algorithms, and computer networks courses at Vassar. He also shares teaching materials, including an introduction to Linux/Unix. Labs/Teams: Collaborates with the Instituto de Telecomunicações (Portugal) and has developed datasets for vehicular networks, including 802.11ad Wi-Fi datasets for infrastructure communication studies.

Diomidis Spinellisمشاهده پروفایل

استاد

• Software Engineering
• Programming Languages
• Computer Science
• +۵ مورد دیگر

Professor Diomidis Spinellis is a renowned academic in Software Technology at Athens University of Economics and Business (AUEB). He specializes in software engineering practices, code quality, AI ethics, and system architecture. His work bridges theoretical advancements with practical applications in industry, emphasizing reproducibility and empirical methods. Recipient of the IEEE Computer Society's prestigious 'Distinguished Contributor Recognition,' Spinellis is the sole Greek scientist to achieve this honor. His research spans software evolution, security, and open-source ecosystems, with a focus on methodologies like refactoring, static analysis, and debugging strategies. Key research interests include AI-generated content detection, modular data analytics, and incident management systems. His studies often leverage large-scale datasets (e.g., Unix evolution, Linux supercomputing analysis) to uncover patterns in software behavior and development practices. Publications frequently address emerging technologies' societal impacts, such as energy-efficient computing and ethical AI deployment. He advocates for reproducible research through tools like the Alexandria3k framework and contributes to open-source initiatives.

John K. Kimaniمشاهده پروفایل

استاد آموزشی

• Semiconductor Devices
• Biosensors and Bioelectronics
• Hardware/Software Design for Sensor Circuits
• +۳ مورد دیگر

John K. Kimani is a Teaching Professor in the Department of Electrical and Computer Engineering at Northeastern University's College of Engineering. He holds a Ph.D. in Electrical Engineering from the University of Wisconsin-Milwaukee. His research focuses on semiconductor devices, biosensors, and hardware/software design for sensor systems. He teaches courses in embedded computing, digital design, and numerical methods. Awards include the 2020 Ruth and Joel Spira Outstanding Teacher Award and a 2020 ASEE best paper award. Professor Kimani is affiliated with professional organizations like IEEE and the American Society for Engineering Education. Education: B.S. in Computer Engineering (Miami University, 2007), M.S. and Ph.D. in Electrical Engineering (University of Wisconsin-Milwaukee, 2009 and 2012). Professional experience includes embedded systems design for cardiac electrophysiology. His teaching portfolio includes courses like EECE2160 (Embedded Design: Robotics), EECE2310 (Digital Design & Architecture), and capstone projects. He maintains a lab with advanced equipment for electronics prototyping and testing. Research Interests: Biosensors, semiconductor devices, hardware-software integration Key Tools: Xilinx Vivado, LTspice, CADENCE PSpice, MATLAB Labs: Capstone Design Lab (Hayden Hall 009) with oscilloscopes, function generators, and FPGA prototyping tools

• Operating Systems
• Microkernel Design
• Computer Science Education
• +۱ مورد دیگر

Andrew S Tanenbaum is a distinguished Professor at Vrije Universiteit in the Netherlands, renowned for his groundbreaking contributions to operating systems education and design. His career has been defined by his commitment to making complex computer science concepts accessible to students worldwide through innovative teaching tools and authoritative textbooks. Tanenbaum's primary research focus centers on operating systems, particularly microkernel architecture and distributed systems. He pioneered the development of MINIX, a Unix-like operating system created specifically as a teaching tool that has influenced generations of computer science students. His work has significantly shaped the discourse around monolithic versus microkernel system designs, with MINIX serving as a practical demonstration of microkernel principles. The educational impact of his approach cannot be overstated, as it provided students with unprecedented access to complete operating system source code alongside detailed explanations of its design and implementation. Tanenbaum's scientific achievements have been recognized with prestigious honors including the 2023 ACM Software System Award and ACM Fellowship in 1996. These awards acknowledge not only his technical contributions but also his exceptional impact on computer science education globally. As an educator and researcher, Tanenbaum has profoundly influenced the field of operating systems. His creation of MINIX in 1987 revolutionized how operating systems are taught, making complete, working Unix-like systems available to students through standard bookstores. This approach directly inspired the development of Linux and continues to serve as a foundational learning tool in computer science curricula worldwide.

Manfred Gerstnerمشاهده پروفایل

استاد

• Software Engineering
• Mathematics
• Numerical Analysis
• +۴ مورد دیگر

Manfred Gerstner serves as Professor at Munich University of Applied Sciences within the Faculty of Electrical Engineering and Information Technology (Faculty 04). He teaches Mathematics 1, Master's Seminar in Electrical and Information Engineering, and TI3: Programming courses during winter semester 2025. His research spans critical technical domains: Software Engineering methodologies Advanced Mathematics including Numerical Analysis Statistical modeling and Stochastics Core Algorithms and Data Structures Multi-language Programming (R, Ruby, Python, JavaScript, Java, C/C++) Unix/Linux system architecture As Examination Board Chair for the Master's in Electrical and Information Engineering, he supervises external Bachelor's and Master's theses on software-intensive or mathematically rigorous topics. Students must identify thesis opportunities via company partnerships, practical semester experiences, or internal institute projects before contacting him for office hour consultations.

• Medical Microbiology
• Multiomics
• Machine Learning
• +۷ مورد دیگر

Stefanie Prast-Nielsen is an Associate Professor (Docent) in Medical Microbiology and Senior Research Specialist in Multiomics, Machine Learning and Data Integration at the Centre for Translational Microbiome Research (CTMR), MTC, Karolinska Institutet. She is part of the Department of Clinical Neuroscience, Division of Neuro Neuroepidemiology, working within Kyla McKay and Katarina Fink's research group. Dr. Prast-Nielsen earned her PhD in Medical Biochemistry from the Department of Medical Biochemistry and Biophysics (MBB), Karolinska Institutet in 2009. She subsequently completed postdoctoral training in Bioinformatics at both the Department of Cell and Molecular Biology (CMB) and Karolinska University Hospital. In 2023, she was awarded Docent status at Karolinska Institutet, equivalent to Associate Professor. Her research focuses on the gut microbiota in various diseases with emphasis on dietary interventions and the microbiota-gut-brain axis. She has extensive experience in next generation sequencing and bioinformatics analysis using LINUX/UNIX, R, Python, Biostatistics, Machine Learning and Multiomics Data Integration. Her main research project involves analyzing how the intestinal microbiota composition and function changes after three months of ketogenic diet treatment in children with severe, drug-resistant epilepsy using whole metagenomic sequencing. By combining this data with inflammation proteomics, her team has identified specific signatures of gut microbes and the immune system that may guide novel microbiota-targeted treatment strategies for epilepsy. Dr. Prast-Nielsen's recent publications demonstrate a strong interdisciplinary approach combining microbiome research with neurology, gastroenterology, and psychiatry. Her work consistently applies advanced computational methods to integrate multiomics data, revealing novel insights into microbiome-host interactions across various disease states including epilepsy, inflammatory bowel disease, schizophrenia, and atopic dermatitis. Her research has been supported by multiple funding sources: Swedish Brain Foundation Margarethahemmet Society Sunnerdahls Handikappfond Jerringfonden Linnea and Josef Carlssons Foundation Karolinska Institutets Research Funds ALF Medicin As an educator, Dr. Prast-Nielsen is co-organizer of the PhD course "Biomedical Ecology - The microbiota in health and disease" and teaches in several other courses including "Translational Physiology and Pharmacology" (International Master program), "DSM2" (Medical Program), and courses on Cellular and Molecular Infection and Infection and immunity at the bachelor level. She previously taught seminars in Biochemistry for the Medical and Biomedical Program at KI (2005-2010). Dr. Prast-Nielsen is a key member of the Centre for Translational Microbiome Research at Karolinska Institutet, where she leads data analysis for multiple projects focused on the gut microbiota in various disease contexts. Her team applies advanced computational approaches to integrate multiomics data and uncover novel insights into microbiome-host interactions, with particular emphasis on neurological conditions and gastrointestinal disorders.

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +۳ مورد دیگر

Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.

Stephen Blottمشاهده پروفایل

دانشیار

• Unix/Linux systems
• Computer networks
• Container technologies
• +۲ مورد دیگر

Stephen Blott is an Associate Professor at the School of Computing, Dublin City University. He holds a BSc in Computing Science from Glasgow University and a PhD from the same institution. Previously, he worked as a Senior Research Associate at ETH Zurich and as a Principal Investigator at Bell Labs in New Jersey. His research focuses on Unix/Linux systems, computer networks, container technologies, DevOps, and educational tools for computer science. Key areas include operating system optimization, network security protocols, container orchestration, and pedagogical innovations in computer science education. Publications show consistent focus on network security, data management, and computational efficiency. Recent work emphasizes internet infrastructure, privacy-preserving technologies, and biomedical informatics, with strong methodological foundations in simulation and algorithm design.

• Computer Science Education
• Programming Fundamentals
• Mathematics Education
• +۵ مورد دیگر

Cherie Smith is a Lecturer in the Department of Computer Science, Engineering, and Physics at the College of Innovation and Technology, The University of Michigan-Flint. With over 27 years of teaching experience, she has played a vital role in shaping undergraduate education in both Computer Science and Mathematics. Education: M.A. in Mathematics, 1997 Her research and teaching interests center on foundational computing and mathematics education. She emphasizes student empowerment and confidence-building, encapsulated in her teaching philosophy of “I CAN,” fostering an inclusive and motivating learning environment. She has taught a wide range of courses including Intro to Programming, Python, COBOL, Excel, Access, UNIX/Linux, and Problem Solving & Programming. Cherie Smith has been recognized multiple times with the Golden Apple Certificate for Excellence in Teaching, awarded by the Thompson Center for Learning and Teaching in Fall 2010, Fall 2011, Winter 2016, and Fall 2017. She advises students at the undergraduate level and has contributed significantly to curriculum delivery in both face-to-face and online formats. While no formal research grants or publications are listed, her impact lies in sustained pedagogical excellence and student mentorship across diverse skill levels.

• Mobile Computing
• Distributed Systems
• File Systems
• +۳ مورد دیگر

Dan Cojocar is a Lecturer in the Department of Computer Science at Babeș-Bolyai University, Cluj-Napoca, Romania. He serves as Lab Instructor for the Mobile Applications course (2024-2025) teaching third-year English-speaking students, and instructs multiple undergraduate courses including Operating Systems laboratories, Web Services and Middleware Technologies, IoT & Android Things, and Tutoriat sessions. His academic responsibilities span course development, laboratory instruction, and bachelor thesis supervision across both semesters of the academic year. Cojocar's research centers on distributed systems with emphasis on the BBUFs (Babeș-Bolyai University File System) framework, mobile computing architectures, and formal verification methods. His scholarly work explores replication strategies, synchronization mechanisms, IPv6-based lookup systems, and aspect-oriented programming for monitoring. The research demonstrates strong integration between theoretical computer science (π-Calculus modeling) and practical system implementation, particularly in Unix-based distributed environments and mobile network routing. Analysis of Cojocar's publication timeline (2006-2015) reveals progressive specialization from foundational web application development toward advanced distributed systems. Early work focused on model-driven approaches (2006) and session management (2007), evolving into BBUFs architecture (2008-2009) and sophisticated replication strategies (2011). The research trajectory shows increasing sophistication in formal methods application while maintaining practical relevance to file system design and mobile networking challenges, with later publications integrating mobile ambient concepts into network routing schemes (2015). Through his GitHub repository (dancojocar/ma), Cojocar maintains comprehensive Mobile Applications course materials used since 2016, featuring multi-language support (Kotlin 40.1%, Java 34.4%) and contemporary mobile development practices. His educational contributions include developing laboratory frameworks for Android, Flutter, and Firebase integration, with course infrastructure utilizing Microsoft Teams and GitHub for student collaboration. The repository's academic adoption (21 stars, 38 forks) demonstrates recognition of his pedagogical approach to mobile computing education.

• Dynamical Systems
• Topology
• Algebraic Topology
• +۵ مورد دیگر

Gioia Maria Vago is a Lecturer at the University of Burgundy , affiliated with the Institute of Mathematics of Burgundy (IMB) and the research team Geometry, Algebra, Dynamics and Topology . She holds a Habilitation à Diriger des Recherches (HDR) (2013) and a PhD in Mathematics (1998) under the supervision of Christian Bonatti. Research Focus : Topological, algebraic, combinatorial, and algorithmic aspects of discrete and continuous dynamical systems, including hyperbolic dynamics, Morse flows, cellular automata, and aperiodic tilings. Teaching : Diversified instruction in Mathematics, Computer Science, and Mathematics-Computer Science for audiences ranging from mathematicians to biologists, including courses on Discrete Mathematics, Graph Theory, Unix/Linux, programming, and statistical software (R, Maple, Statistica). Students : Co-directed PhD thesis of Abdelrazak Jmel (2013) and supervised post-doc Maria Alice Bertolim (2004-2005) under a French Ministry fellowship. Notable Collaborations : Work with Michel Boileau on three-dimensional Ogasa invariants, and with Alain Jacquemard on computational biology projects (allosteric regulation models). Software Achievements : Developed Maple programs for unstable manifold conjugacy analysis and VBA tools for biochemical data optimization. Scientific Awards : HDR in Mathematics (2013) PhD Thesis with Mention Très Honorable et Félicitations du Jury (1998) French Ministry Postdoctoral Fellowship for Maria Alice Bertolim (2004-2005) Research Trends : Her work bridges topological complexity (e.g., Ogasa invariant) with combinatorial and algorithmic methods, particularly in high-dimensional dynamics (2008 paper on diffeomorphism centralizers) and low-dimensional systems (1999-2001 papers on hyperbolic manifolds).

Timo Hönigمشاهده پروفایل

استاد

• Operating Systems
• Energy Efficiency
• Computer Security
• +۳ مورد دیگر

Timo Hönig is a Professor and Head of the Chair for Operating Systems and System Software at the Faculty of Computer Science, Ruhr-University Bochum. His research focuses on energy efficiency, persistent memory systems, computer security, and system software design. Current projects include DFG-funded SUSTAINET-inNOvAte and DOSS , with former projects like InvasIC (DFG/Transregio 89) and Antillas (BMBF/VDI). He serves on program committees for HotCarbon, DIMES, DSN, DATE, and other conferences. His recent publications address energy profiling, carbon-aware memory placement, kernel security, and persistent OS design. He has received best paper awards at SBESC'22 and ISORC'17. Scientific Awards: Best Paper at SBESC'22 Best Paper at ISORC'17 His teaching includes courses on operating systems, resource-efficient systems, and energy-aware computing. He has advised numerous research collaborations on embedded systems, concurrency, and sustainable computing.