جستجوی استاد راهنمای دانشگاهی

• Digital Forensics
• Cybersecurity
• Network Security
• +۳ مورد دیگر

Martin Schmiedecker is an External Lecturer at the Department of Information Systems Engineering, Technische Universität Wien (TU Wien), Austria. He specializes in digital forensics, cybersecurity, and privacy technologies. His research focuses on filesystem analysis, tracker-blocking tools, real-time forensic methods, and optimizing anonymity networks like Tor. His work includes projects such as TRUDIE (Trust Relationships in Underground IT Economies) funded by the Austrian Research Promotion Agency (FFG). Key contributions include detecting manipulated timestamps on NTFS, analyzing tracker-blocking tool effectiveness, and improving forensic endpoint visibility. Schmiedecker has published extensively in conferences like ARES, Euro S&P, and USENIX Security. No scientific awards are explicitly listed in the provided texts. He collaborates with researchers such as Edgar Weippl, Stefan Huber, and Stefan Neuner. His research integrates technical innovations with practical applications in cybersecurity defense mechanisms.

Milan Tairمشاهده پروفایل

پژوهشگر

• Computer Science
• Artificial Intelligence
• Web Development
• +۳ مورد دیگر

Milan Tair is a researcher at the University of Singidunum, affiliated with the Faculty of Informatics and Computing and the Department of Postgraduate Studies . His academic work spans topics in computer science, web technologies, and optimization algorithms. Doctoral Studies : Electrical Engineering and Computing (2016–2022) Master's Studies : Contemporary Information Technologies (2012–2013) Undergraduate Studies : Programming and Design (2008–2012) His research interests focus on artificial intelligence , web development , cybersecurity , and optimization algorithms , as evidenced by his publications in journals and conference proceedings. Recent publications highlight his work on hybrid metaheuristic algorithms applied to intrusion detection, medical diagnostics, and web quality evaluation. His studies also explore adaptive web technologies, database systems, and mobile computing solutions. Milan has authored or co-authored works on topics including: Optimization of machine learning models (XGBoost tuning, swarm intelligence) Web performance and security (AES encryption, HTTP header licensing) Adaptive web formats (multi-layered image compression) Usability in multilingual web design

• Algorithms
• Big data analytics
• Blockchain
• +۱۲ مورد دیگر

Dr. Wojciech Golab is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on distributed systems, concurrency control, and persistent memory algorithms. He has received recognition for his work on shared memory algorithms from ACM Computing Reviews. His academic career includes teaching courses like ECE 252, ECE 356, and ECE 454 in the past five years. Education: PhD in Computer Science, University of Toronto (2010) M.Math in Computer Science, University of Waterloo (2004) BSc in Computer Science, University of Toronto (2002) Dr. Golab's research interests span algorithms, blockchain, distributed systems, fault tolerance, and scalable storage solutions. His work emphasizes practical applications of theoretical computer science, such as optimizing transaction processing and ensuring consistency in distributed environments. His recent publications explore topics like detectable synchronization objects for persistent memory, blockchain sharding protocols, and efficient mutual exclusion algorithms under system failures. These contributions highlight advancements in both theoretical foundations and real-world distributed system design. Awards: ACM Computing Reviews 'Notable Computing Items' recognition (2012) Dr. Golab has collaborated with industry partners like Hewlett-Packard Labs, Google, and Cisco to advance research in distributed computing and cloud systems. He currently oversees graduate studies in his department and welcomes applications from prospective students.

• Cybersecurity
• Database Forensics
• Machine Learning Applications in Security
• +۴ مورد دیگر

Peter Frühwirt is an External Lecturer in the Department of Information Systems Engineering at Vienna University of Technology (E194). His research focuses on cybersecurity, database forensics, and usable security, with a particular emphasis on tamper-proof systems, QR code vulnerabilities, and forensic-aware database solutions. Education : Dipl.-Ing. Dr.techn., BSc BSc Research Interests : Cybersecurity, Database Forensics, Machine Learning Applications in Security, QR Code Security, Web Application Security, Traffic Classification His recent publications analyze forensic-aware database protocols, QR code threats, and machine learning applications for attacker profiling. He teaches courses including Advanced Software Engineering, Software Engineering Project, and Software Quality Assurance.

• Computer Architecture
• High-Performance Computing (HPC)
• Cloud Computing
• +۴ مورد دیگر

Prof. Weikuan Yu is a Professor in the Department of Computer Science at Florida State University. His research focuses on computer architecture, high-performance computing (HPC), cloud computing, parallel file systems, and deep learning applications. He holds the role of Chair and can be contacted via yuw@cs.fsu.edu or (850) 644-5442. His expertise includes optimizing storage systems and I/O behaviors in scientific workflows, developing scalable distributed systems, and applying machine learning to improve computational efficiency. Notable projects include work on burst buffer systems (e.g., BurstFS, TRIO), persistent memory management (PHAST), and distributed deep learning frameworks (e.g., compression techniques for time-evolutionary data). Recent research trends emphasize enhancing HPC storage efficiency through novel file systems and I/O emulation, as well as leveraging machine learning for fault tolerance and configuration tuning. His work bridges hardware-software co-design to address challenges in exascale computing and big data analytics. Prof. Yu has contributed to multiple open-source projects and frameworks, including OpenSHMEM-based key-value stores and MapReduce optimizations. His publications highlight advancements in parallel processing, distributed algorithms, and energy-efficient memory architectures.

Ramalingam Sridharمشاهده پروفایل

دانشیار

• Computer Architecture
• VLSI Circuits and Systems
• Wireless Networks and Security
• +۳ مورد دیگر

Ramalingam Sridhar is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, part of the State University of New York. He holds a PhD in Computer Engineering from Washington State University. His research focuses on VLSI systems, embedded technologies, computer architecture, and wireless networks security. He leads the High Performance VLSI Systems and Architecture Laboratory, emphasizing energy-efficient designs and hardware security. Affiliations: School of Engineering and Applied Sciences, Adjunct role in Electrical Engineering. Educations: PhD (Computer Engineering, Washington State University, 1987). Research interests include low-power VLSI circuits, secure embedded systems, wireless security protocols, and energy-aware mobile systems. His work bridges cross-layer design challenges in networks and hardware reliability. He has contributed to over 100 publications, including key advancements in register file design, secure RFID systems, and intrusion detection. Recipient of the IEEE CAS Society Distinguished Lecturer (2003-2004) and Best Poster Award (2005). Advised numerous PhD and MS students in areas like network-on-chips and security. Collaborates with industry partners like IBM and NASA on projects involving FPGA architectures and space communication security.

Hartwig Anztمشاهده پروفایل

دانشیار

• Algorithm Engineering
• High Performance Computing
• Numerical Linear Algebra
• +۳ مورد دیگر

Hartwig Anzt is a Research Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, and Director of the Innovative Computing Lab (ICL). He holds a Senior Research Scientist position at the Steinbuch Centre for Computing at Karlsruhe Institute of Technology (KIT), where he previously held an Early Career Award and a Junior Professorship. He earned a Diploma in Industrial Mathematics (2009) and a PhD in Applied Mathematics (2012) from KIT, with a year of studies at the University of Ottawa. His research focuses on algorithm engineering for computational mathematics, particularly numerical linear algebra, GPU computing, and mixed-precision methods. Key areas include asynchronous algorithms, communication-avoiding techniques, and sustainable software engineering for exascale computing. He leads development of the Ginkgo library, designed for high-performance numerical linear algebra on heterogeneous architectures. Anzt's work emphasizes practical software solutions for scientific computing, including sparse linear algebra, batched solvers, and FAIR-compliant research software practices. His contributions span fusion plasma simulations, cardiac electromechanics, and scalable data compression techniques for extreme-scale systems. Education: Diploma (2009), PhD (2012) in Applied Mathematics from KIT Key Roles: ICL Director, xSDK Multiprecision Project Lead Software Contributions: Ginkgo Library, JuMonC Tool, Compressed Basis GMRES

Ali Hursonمشاهده پروفایل

استاد

• High-performance computing
• Pervasive computing
• Mobile databases
• +۱۱ مورد دیگر

Dr. Ali Hurson is a Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology. His research spans high-performance computing, pervasive computing, mobile databases, personalized education, intelligent transportation systems, and cyber-physical systems. PhD, Computer Science, University of Central Florida MS, Computer Science, University of Iowa BS, Physics, University of Tehran Dr. Hurson’s research focuses on mobile data access systems, cybersecurity for critical infrastructure, and educational technologies. His work addresses challenges in data dissemination, power management, and fault propagation in heterogeneous systems. His recent publications emphasize agent-based modeling for cyber attacks, predictive analytics in education, and fault tolerance in cyber-physical systems. Trends include integration of machine learning, security frameworks, and sustainable computing. Editor-in-Chief, Advances in Computers Editor-in-Chief, Journal of Sustainable Computing and Communication Dr. Hurson has secured over $3 million in grants from NSF, DOE, DOT, and industry partners. He has held academic roles at Penn State University and the University of Oklahoma, transitioning to Missouri S&T in 2007.

Bryson Robertsonمشاهده پروفایل

استاد

• Wave Mechanics
• Hydrodynamics of Floating Bodies
• Mooring Systems
• +۵ مورد دیگر

Bryson Robertson is a Professor and Director of the Pacific Marine Energy Center (PMEC) at Oregon State University's College of Engineering. His work focuses on marine renewable energy systems, particularly wave, tidal, and offshore wind technologies. Ph.D., University of Guelph, Canada, 2013 MASc, Queens University, Canada, 2009 BEng, University of Victoria, Canada, 2005 Dr. Robertson specializes in wave mechanics, hydrodynamics of floating bodies and mooring systems, and the co-design of offshore energy technologies. His research integrates field measurements, numerical models, and physical prototyping to advance marine energy deployment within the Blue Economy. Recent projects examine wave energy's role in decarbonizing electrical systems and its socio-political implications. His recent publications highlight advancements in wave energy converter (WEC) design, hybrid simulations for floating offshore wind turbines, and resource assessment methodologies. These works emphasize hydrodynamic optimization, energy efficiency, and integration into coastal and grid systems. Dr. Robertson has secured funding from the U.S. Department of Energy, the U.S. Navy, the State of Oregon, and the National Science and Engineering Council of Canada. He collaborates with industry partners and national laboratories to develop marine energy solutions. As Director of PMEC, he leads initiatives in marine energy research, including testing facilities and policy frameworks for sustainable deployment.

Tevfik Kosarمشاهده پروفایل

استاد

• Data Intensive Computing
• Distributed Systems
• Petascale Systems
• +۴ مورد دیگر

Prof. Tevfik Kosar is a Professor in the Department of Computer Science and Engineering at the University at Buffalo (UB), part of the School of Engineering and Applied Sciences. His research focuses on data-intensive computing, distributed systems, petascale storage, and energy-efficient data transfer optimization. He has taught numerous courses on operating systems, distributed systems, and green computing, including CSE 421/521 (Operating Systems), CSE 709 (Green Computing), and CSE 710 (Distributed File Systems). His achievements include the UB Exceptional Scholar Award (2020), SEAS Researcher of the Year (2018), and an NSF CAREER Award (2011). He leads the DIDCLAB , which develops innovative solutions for data-intensive distributed computing. Prof. Kosar holds a PhD from the University of Wisconsin-Madison (2005), MS from Rensselaer Polytechnic Institute (1999), and BS from Bogazici University (1997). His work spans academic contributions, industry collaboration, and sustainability-focused research. Teaching Highlights: Courses: Operating Systems (repeated annually since 2011), Green Computing (since 2013), and specialized seminars on distributed file systems. Grants & Projects: Collaborative NSF grants for GreenSW (2024), CloudScent (2023), and energy-aware data transfer optimization (2018–present). His research emphasizes minimizing energy consumption in cloud and HPC systems while maximizing data transfer efficiency. Recent projects include GreenABR+ for energy-aware video streaming and Greendataflow for zero-carbon data movement. He has also pioneered tools like FlowTracer for AI training cluster analysis and PhoneLab , a smartphone testbed for real-world network studies.

David Bourrieمشاهده پروفایل

دانشیار

• Big Data
• Database Management
• Diffusion and Dissemination of Innovations
• +۳ مورد دیگر

Dr. David Bourrie is an Associate Professor in the Information Systems and Technology Department at the School of Computing, University of South Alabama. He holds a Ph.D. in Business Information Systems from Auburn University (2014) and a B.A. in Hotel and Restaurant Management from Michigan State University (1994). His research focuses on Big Data, database management, diffusion of innovations, and information systems design. He has taught courses such as Management Information Systems and Big Data Analytics, emphasizing practical applications of technology in organizational contexts. Education: Ph.D. in Business Information Systems, Auburn University, 2014 B.A. in Hotel and Restaurant Management, Michigan State University, 1994 His research interests span the adoption of innovative technologies, including studies on mHealth app development, disinformation engagement on social media, and predictive weather modeling. His work bridges technical systems with human behavioral factors, such as linguistic fluency and persuasive design strategies in healthcare technologies. While his articles explore diverse topics—from graph neural networks to cybersecurity in software development—there are no notable scientific awards listed. No advising or grant-related details are provided in the text. Dr. Bourrie’s contributions include contributions to academic curricula, including integrating agile project management techniques and team-based learning methodologies.

Thomas Zeiserمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• Lattice Boltzmann Methods
• Computational Fluid Dynamics
• +۳ مورد دیگر

Dr. Thomas Zeiser serves as Head of Systems & Services and Chief Operating Officer HPC at NHR@FAU (Center for National High Performance Computing Erlangen) at Friedrich Alexander University Erlangen-Nuremberg. He leads the Systems & Services group of NHR@FAU and HPC4FAU since the end of 2020 and serves as deputy for NHR@FAU in the NHR Betreiberausschuss. His work focuses on transitioning from serving FAU only to national center operations, managing HPC systems, procuring new infrastructure, financial controlling of NHR@FAU's budgets, and supporting planning for a new data center building. Dr. Zeiser's research interests center around High-Performance Computing with specific expertise in Lattice Boltzmann Methods , large-scale simulations, evaluation of HPC hardware and software, and efficient operation of HPC systems. His work bridges the gap between theoretical computational methods and practical implementation in high-performance environments. He has implemented the first job-based job and performance monitoring for RRZE's HPC systems and has extensive experience in procurement of HPC infrastructure. Analysis of Dr. Zeiser's publication record reveals a consistent focus on practical applications of computational methods in HPC environments. His research demonstrates a progression from fundamental lattice Boltzmann method development toward increasingly complex system-level concerns including fault tolerance, performance monitoring, energy efficiency, and scalable implementations. The publications show strong collaboration patterns with researchers at FAU and other German institutions, particularly in the areas of computational fluid dynamics and parallel computing. Dr. Zeiser regularly serves as a reviewer for various journals and compute time commissions of different HPC centers. He is also one of the local organizers for the Ferienakademie of TUM, FAU, and Universität Stuttgart held in Sarntal. His work with NHR@FAU positions him at the forefront of national high-performance computing infrastructure in Germany. At NHR@FAU and RRZE (Regional Computing Center Erlangen), Dr. Zeiser leads teams responsible for operating some of Germany's most powerful academic supercomputing resources. His group plays a critical role in supporting computational research across multiple disciplines at FAU and increasingly at the national level through the NHR initiative.

• Cyber-security
• Digital Forensics
• Networks
• +۴ مورد دیگر

Rich Macfarlane is an Associate Professor at the School of Computing Engineering and the Built Environment , Edinburgh Napier University, UK. He specializes in Cyber-security , Digital Forensics , and Network Security , with extensive experience in ransomware detection, forensic tool evaluation, and cloud-based security training. Research Centres: Centre for Distributed Computing, Networking and Security Projects: Directed KTP initiatives funded by Innovate UK, Data Lab, and Scottish Enterprise Research Interests include: Ransomware attack detection and mitigation Digital forensic tool validation Cloud infrastructure security Entropy-based file analysis Deception techniques for threat identification Article Trends show technical focus on ransomware detection, entropy analysis, digital forensic datasets, and wireless network monitoring. The work combines mathematical modeling , cloud-based platforms , and machine learning applications in forensics. Education & Supervision : Second Supervisor for Matthew Thomson (2023) - Digital Media & AI Forensics Second Supervisor for Philip Penrose (2013-2017) - Large Storage Device Forensics Grants : Managed industry-funded projects totaling £874,436 including KTP with Morgan Stanley (£136,306), Fragment Finder (£228,757), and vSoC development (£119,363).

• Digital Forensics
• Cybersecurity
• Blockchain Technology
• +۳ مورد دیگر

Dr. Sean Mckeown is a Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment , specializing in digital forensics, cybersecurity, and AI applications. His research focuses on: Perceptual hashing techniques for forensic analysis Blockchain-based evidence management Incident response tools for Unix systems Forensic challenges with wearables and streaming platforms AI-generated media detection His recent publications examine: Privacy-preserving evidence management using Hyperledger Fabric Adaptive DCT-DWT watermarking for JPEG disk images GenAI dataset diversity in image inpainting detection Spatial encoding in perceptual hashes beyond Hamming distance He supervises postgraduate researchers including Matthew Thomson, and collaborates with colleagues like Bill Buchanan and Gordon Russell on projects involving digital evidence integrity, contraband detection, and forensic tool development.

• Operating systems
• Distributed systems
• Computer Science
• +۳ مورد دیگر

Professor Willy Zwaenepoel is a distinguished academic and Dean of the Faculty of Engineering at the University of Sydney. He holds Fellowships from ACM, IEEE, and ATSE. His research focuses on distributed systems, operating systems, and experimental computer science. Previously, he spent two decades at Rice University and nine years as Dean of EPFL's School of Computer and Communication Sciences before joining Sydney in 2018. Education: BS/MS, Ghent University (1979) MS/PhD, Stanford University (1980/1984) Research Interests: His work emphasizes distributed systems and operating systems, with contributions to key-value stores, transactional systems, and large-scale graph processing. Recent projects include optimizing geo-replicated systems and improving datacenter scheduling efficiency. Articles Trends: Recent publications address OS scheduling (Nest), distributed graph mining (Tesseract), and transactional systems' performance limits. He explores hardware-software co-design for multicore systems and energy-efficient data centers. Awards: Fellow of ACM (2021) Fellow of IEEE (2020) Fellow of ATSE (2019) Grants & Advising: Active grants include adaptive key-value store research (2021) and large-graph processing systems (2018). He advises PhD students and postdocs on distributed systems and storage challenges. Labs/Teams: Leads the Sydney systems research group focusing on scalable distributed systems and cloud infrastructure.