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Yonah WilamowskyView profile

Professor

• Statistics
• Operations Research
• Quantitative Methods in Law
• +3 more

Dr. Yonah Wilamowsky is a Professor of Computing and Decision Sciences at Seton Hall University, specializing in Statistics and Operations Management. He holds a PhD in Operations Research from New York University (1975), an MS in Operations Research (1970), and a BA in Mathematics (1968) from Brooklyn College. Dr. Wilamowsky teaches courses such as Business Statistics, Quantitative Methods in Business, and Database Management Systems. His research focuses on applying statistics and quantitative methods to law, business processes, biblical studies, and higher education. Notable contributions include work on pooled testing optimization, healthcare reimbursement auditing, and historical mathematical analysis. He has published in journals like European Journal of Business and Management Research , Naval Research Logistics , and Hakirah . Dr. Wilamowsky has received academic honors including Phi Beta Kappa, Pi Mu Epsilon, and Sigma Xi (all 1968). He has also contributed to professional development through consulting in statistics and operations research, and has presented at conferences like the Decision Sciences Institute Annual Meeting. His teaching spans both undergraduate and graduate levels, emphasizing practical applications of quantitative techniques. Current research interests include statistical methodologies for legal and biblical studies, as well as operational efficiency in higher education administration.

• Parallel Computing
• Distributed Systems
• Multiprocessor Operating Systems
• +5 more

Vasilios Mamalis is a Professor at the Department of Informatics and Computer Engineering, University of West Attica, and a member of the Collaborating Scientific Staff at the Hellenic Open University's Informatics program. His academic career spans decades with significant contributions to parallel and distributed computing, wireless sensor networks, and cloud technologies. Education: Diploma in Computer Engineering and Informatics, University of Patras (1993) PhD in Computer Engineering and Informatics, University of Patras (1998) Research Interests focus on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. His work addresses energy efficiency in ad-hoc networks, optimization techniques, and educational technology applications. Publication Trends show extensive work on WSN clustering, cloud task scheduling, parallel simplex methods, and fog computing applications in education and urban systems. He combines metaheuristics with infrastructure optimization in large-scale networks. Scientific Contributions include editorial roles in the Journal of Balkan Libraries Union and program committee memberships in international conferences. He actively reviews for journals and conferences in computing. Teaching Expertise covers operating systems, parallel computing, distributed systems, and cloud technologies at both undergraduate and postgraduate levels. His Research Leadership involves EU/Greek-funded projects on communication protocols, parallel content-based retrieval, and wireless sensor networks.

• Semantic Web Technologies
• Distributed Systems
• E-Learning Systems
• +3 more

Милорад Б. Тошић is a Full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. He earned all his academic degrees (BSc 1989, MSc 1992, PhD 1998) from the same institution in Electrical Engineering and Computer Science. His research spans Semantic Web Technologies, Distributed Systems, and E-Learning Systems, with notable contributions in federated testbeds, trust-based peer assessment, and collaborative wiki tagging. His work bridges theoretical computer science with practical applications in education and embedded systems. His publication trends show consistent contributions from 1991 to 2014, with recent focus shifting from hardware design (1990s) to semantic technologies and e-learning systems (2000s-2010s), demonstrating adaptability across evolving technological domains. US Patent Application No. 09/636,552 for Internet-Enabled Embedded Device Technology validated by Motorola, Microchip, Philips, and Delphi As former Science and Technology Advisor to the Serbian Minister (2002-2003), he contributed to national science policy. His current research involves 4 national and 3 international projects totaling 7 impact-factor journal publications. His patented embedded device technology has achieved commercial validation through major global electronics firms.

Nasser AsgariView profile

Senior Lecturer

• Robotics
• Embedded Systems
• Computer Vision
• +3 more

Nasser Asgari is a Senior Lecturer in the College of Science and Engineering at Flinders University, Australia. He holds adjunct roles in the Medical Device Research Institute and serves as Teaching Program Director (TPD) for Engineering and Design. His key responsibilities include coordinating Electrical & Electronic Engineering and Robotics Engineering programs. Dr. Asgari's academic background includes a PhD in Computer Engineering from the University of Adelaide, an MSc in Communication Systems Engineering, and a BSc in Electronic Engineering. His research focuses on robotics, embedded systems, and computer vision applications in assistive technologies and disaster response. Specific interests include interprocessor communication, mobile robot navigation, and people detection using thermal/color cameras. His work spans multidisciplinary projects such as designing rescue robots with real-time vision systems and developing algorithms for thermal image analysis in disaster zones. He has published in journals like the International Journal of Mechanical Engineering and Robotics Research, and authored books on robotics applications. Teaching responsibilities include coordinating topics like ENGR2712 (Automation & Industrial Control), ENGR7851 (Advanced Electronic Design), and ENGR3771 (Robotic Systems). He actively contributes to curriculum development in cyber-physical systems, sensors/actuators, and advanced robotic systems.

Yossi BukchinView profile

Professor

• Assembly systems design
• Assembly line balancing
• Facility design
• +5 more

Prof. Yossi Bukchin is a Professor in the Department of Industrial Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. His research focuses on manufacturing systems, production engineering, and operations research with particular expertise in assembly line design and optimization. His primary research interests include: Assembly systems design Assembly line balancing Facility design Operational scheduling Human factors engineering Warehouse and storage systems Prof. Bukchin's recent work demonstrates a strong focus on puzzle-based storage systems, assembly line optimization, and operations management. His research spans both theoretical developments in scheduling algorithms and practical applications in manufacturing and logistics systems. He has made significant contributions to the understanding of Bucket Brigade systems, puzzle-based storage optimization, and assembly line balancing with mixed-model production. His scholarly output shows evolution from early work on robotic assembly lines to contemporary research on machine learning applications in warehouse systems and advanced optimization techniques for modern manufacturing challenges. Contact information: Email: bukchin@tau.ac.il Phone: 03-6407941 Fax: 03-6407669 Office: Wolfson - Engineering

Tal RavivView profile

Associate Professor

• Operations Research
• Transportation
• Logistics
• +2 more

Prof. Tal Raviv is an Associate Professor in the Department of Industrial Engineering at the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. He serves as head of the Shlomo Shmeltzer Institute for Smart Transportation and co-heads the Transportation and Logistics Lab. His educational background includes: BA in Economics from Tel Aviv University (1993) MBA from Recanati School of Business, Tel Aviv University (1997) PhD in Operations Research from Technion (2003) Postdoctoral fellowship at Sauder School of Business, University of British Columbia (2004-2006) Prof. Raviv's research focuses on operations research with emphasis on transportation and logistics, particularly smart transportation and sustainable logistics. His work develops optimization models for bike-sharing systems, vehicle routing, and urban mobility to enhance efficiency and user satisfaction while addressing sustainability challenges. Recent publications reveal a strong trend in shared mobility systems optimization, including inventory control and repositioning strategies for bike-sharing networks, analysis of user dissatisfaction due to unusable vehicles, and flexible delivery solutions using parcel lockers. His research bridges theoretical operations research with practical industry applications in transportation networks. Prof. Raviv has advised startup companies, applying his expertise to real-world business challenges. While specific grant details are not provided, his work demonstrates significant industry relevance through practical implementations. He leads the Transportation and Logistics Lab and the Shlomo Shmeltzer Institute for Smart Transportation, where his team develops innovative solutions for modern transportation challenges including data-driven routing, sustainable logistics, and smart infrastructure optimization.

• Distributed Systems
• Blockchain
• Concurrency
• +2 more

Maurice Herlihy serves as the An Wang Professor of Computer Science at Brown University, where he leads research in distributed systems and blockchain technology. His academic career spans decades with continuous contributions to concurrency theory and practical distributed system design. Education: PhD in Computer Science from Massachusetts Institute of Technology (1984) MS in Computer Science from Massachusetts Institute of Technology (1980) BA from Harvard University (1975) His research focuses on fundamental problems in distributed computing, particularly transactional memory systems and blockchain scalability. Recent work centers on overcoming concurrency limitations in blockchain execution through sharding techniques, optimized transaction scheduling, and cross-chain protocols. He investigates how hardware features like trusted monotonic counters can enhance Byzantine fault tolerance in asynchronous networks. Analysis of his 2020-2025 publications reveals a dominant focus on blockchain systems, with 85% of recent work addressing scalability, concurrency, and security challenges. Key trends include sharded permissioned ledgers for enterprise applications, concurrent execution models for Ethereum, and formal verification of cross-chain protocols. His work bridges theoretical distributed computing with practical cryptocurrency system design. He has secured significant research funding including NSF SHF grants for run-time support in concurrent programming. While specific advisees aren't listed in source materials, his teaching of advanced courses like CSCI 1760 (Multiprocessor Synchronization) indicates active graduate mentorship in distributed systems.

Dirk MüllerView profile

Professor

• Real-time systems
• Scheduling
• Software Engineering
• +5 more

Dirk Müller is a Professor of Software Technology/Operating Systems at the Faculty of Computer Science/Mathematics, Dresden University of Applied Sciences (HTW Dresden). He has been in this position since 2016 and is an active member of the Faculty Council since June 2021. He was awarded IEEE Senior Member status in April 2023. His academic journey includes a doctorate in Engineering from the University of Kassel in 2006, habilitation at Chemnitz University of Technology in 2014, and prior research positions at Philipps University of Marburg and Florida State University. 1995-2002: Studies in Medical Informatics at University of Leipzig 2003-2006: Research Assistant/Doctoral Student at University of Kassel 2006-2008: Research Associate at Philipps University of Marburg 2008-2014: Academic Councillor at Chemnitz University of Technology 2014-2016: Private Lecturer at TU Chemnitz 2016-present: Professor at HTW Dresden Professor Müller's research focuses on real-time systems and scheduling, model-driven software development, digitalization in companies and administration, and the concept of information. His work particularly emphasizes Rust language applications in software engineering. He has published extensively on real-time scheduling algorithms, mixed-criticality systems, and embedded systems. His teaching responsibilities include Operating Systems I, Software Engineering I & II, Model-Driven Software Development, and Programming in Rust. His publication record shows a consistent focus on real-time systems, with a clear progression from theoretical scheduling algorithms to practical implementations. His recent work has expanded into public administration digitization and biometric conference systems, while maintaining his core expertise in scheduling theory. The publications demonstrate strong international collaboration, particularly with researchers like Matthias Werner, Alejandro Masrur, and Robert Baumgartl. IEEE Senior Member (2023) Erdős number: max. 4 Strict Erdős number: max. 5 Professor Müller actively supervises student theses, with over a dozen bachelor's and diploma theses completed between 2023-2025. His students work on diverse topics including Rust programming, workflow automation, user experience optimization, and real-time event processing. He serves as a reviewer for multiple prestigious journals including IEEE Transactions on Parallel and Distributed Systems, Real-Time Systems, and The Computer Journal. He also acts as Senior Editor for Computer Science Books at Versita. His laboratory work focuses on practical implementations of real-time systems, often using Raspberry Pi as a platform for traffic analysis and other embedded applications. His research group maintains strong connections with industry, as evidenced by the applied nature of student projects at companies like IntraConnect GmbH.

• Computer Architecture
• Parallel Computing
• Multicore Processors
• +3 more

Oyekunle Olukotun is a Professor at Stanford University, internationally recognized for transformative contributions to computer architecture and parallel systems. His pioneering work established foundational principles for modern processor design that bridge academic research and industrial implementation. His research centers on parallel computing systems with emphasis on multicore and multithreaded processor architectures. Key innovations include chip multiprocessor (CMP) technology that became the industry standard for modern CPUs, fine-grained multithreading techniques for CPU efficiency optimization, and the Transactional Coherence and Consistency (TCC) framework for simplifying parallel programming. These contributions address critical challenges in performance scaling and energy efficiency for contemporary computing systems. Olukotun's publications reveal a consistent focus on hardware-software co-design for parallel systems, with significant impact across computer architecture and high-performance computing domains. His work demonstrates evolutionary progression from theoretical frameworks to industry adoption, particularly in server processor design. Scientific awards include: ACM-IEEE CS Eckert-Mauchly Award (2023) for contributions to parallel systems development ACM Fellow (2006) for multiprocessor and multithreaded processor design ASPLOS Most Influential Paper Award (2011) for the 1996 landmark paper ISCA Most Influential Paper Award (2019) for the 2004 transactional memory paper While the provided text lacks specific details about student advising or grant funding, Olukotun's entrepreneurial impact is evident through Afara WebSystems, which advanced server technology prior to its acquisition by Sun Microsystems. His research directly enabled Oracle's Niagara chip family used in SPARC-based servers. Industrial collaboration represents a critical dimension of his work, with designs transitioning from academic concepts to commercial implementations that shaped server processor evolution. The TCC framework co-developed with Christos Kozyrakis remains influential in parallel programming research.

• Algorithm Engineering
• Parallel Computing
• Graph Algorithms
• +3 more

Julian Shun is a researcher affiliated with the Massachusetts Institute of Technology . His work focuses on Algorithm Engineering , Parallel Computing , and Shared-Memory Systems , with significant contributions to large-scale graph processing frameworks like Ligra, GBBS, and Aspen. His research has demonstrated that shared-memory multiprocessors can outperform distributed systems in graph analysis while being cost- and energy-efficient. Shun's work introduces the Ligra parallel programming abstraction, which simplifies graph algorithm implementation through high-level primitives. ACM Paris Kanellakis Theory and Practice Award (2023) : Recognizing his role in developing frameworks that revolutionized graph processing on shared-memory machines. ACM Doctoral Dissertation Award (2015) : For his thesis on making shared-memory parallelism simple, fast, and scalable. Previously, he was a post-doctoral researcher at the University of California, Berkeley, under a Miller Research Fellowship, and earned his PhD from Carnegie Mellon University. He completed his undergraduate studies at UC Berkeley, graduating first in his class in 2008.

Kunle OlukotunView profile

Professor

• Computer Architecture
• Parallel Programming
• Chip Multiprocessors
• +4 more

Kunle Olukotun is a Professor of Electrical Engineering and Computer Science at Stanford University's School of Engineering, where he has been faculty since 1991. He directs the Stanford Pervasive Parallelism Lab (PPL) and co-leads the Transactional Coherence and Consistency (TCC) project. His research focuses on computer architecture, parallel programming environments, and scalable parallel systems. Key areas include chip multiprocessors (CMPs), transactional memory systems, domain-specific languages (DSLs) for heterogeneous computing, and hardware-software co-design for machine learning workloads. His work bridges theoretical foundations with practical systems implementation. Notable contributions include the Stanford Hydra research project (one of the first chip multiprocessors with thread-level speculation), founding Afara Websystems (acquired by Sun Microsystems), and developing the Niagara processor architecture. His DSL frameworks like Green-Marl and Spatial enable efficient graph analysis and hardware acceleration. His publications reveal strong trends in parallel systems evolution: from foundational CMP research (2000s) to transactional memory (2004-2010), then DSLs for heterogeneous computing (2010-2015), and currently foundation model systems (2023-2025). Subfield analysis shows consistent focus on hardware-software co-design, sparse computation, and compiler techniques across decades. ACM Fellow (2006) for contributions to multiprocessors on a chip and multi-threaded processor design Best Paper Award at IEEE International Symposium on Workload Characteristics (IISWC '10) for EigenBench Olukotun actively mentors researchers through the Stanford Pervasive Parallelism Lab (PPL), which seeks to proliferate parallelism across application domains. His projects have secured significant industry partnerships, including the acquisition of his startup Afara Websystems by Sun Microsystems. Current research focuses on compiler frameworks for foundation model systems and hardware acceleration for sparse machine learning workloads, supported by collaborations with major tech companies. He leads the Stanford Pervasive Parallelism Lab (PPL), which develops compiler and runtime systems for heterogeneous architectures. The lab's work spans DSLs, hardware acceleration, and parallel programming models, with strong industry ties to companies like NVIDIA and Google. Current initiatives include the Mosaic compiler framework and Stardust architecture for sparse tensor computation.

Michael KalogerakisView profile

Associate Professor

• usability engineering
• human-machine interaction
• agile software development methods
• +1 more

Michael Kalogerakis serves as an Associate Professor in the Department of Electrical and Computer Engineering, School of Engineering, at the Hellenic Mediterranean University (HMU). He concurrently holds research positions at HMU's Laboratory of Artificial Intelligence and Systems Engineering and Institute of Energy, Environment and Climate Change, and collaborates with IACM/FORTH's Wave Propagation Group. His academic background includes: B.Sc. in Mathematics, University of Crete M.Sc. and Ph.D. in Mathematics and Computer Science, Clarkson University, USA (dissertation 'Linear Solvers on Multiprocessor Machines' archived by U.S. DOE) Research focuses on usability engineering , human-machine interaction , agile development , and wave propagation , with applied outcomes like the Hellenic Navy's underwater acoustic detection system for frigates/submarines. His work bridges theoretical computational methods and defense applications. Over 25 years, he participated in major programs (DAMOCLES-IP, ESPRIT, FP6, MAST, Archimedes), authored class notes for Patras/Crete/HMU courses, and supervised student projects in computational mathematics and software engineering. He actively contributes to HMU's Laboratory of Artificial Intelligence and Systems Engineering, the Institute of Energy/Environment/Climate Change, and IACM/FORTH's Wave Propagation Group, driving interdisciplinary research in energy systems and computational mathematics.

• Real-Time Scheduling
• Model-Based Systems Engineering
• Unmanned Aerial Vehicles
• +3 more

Emmanuel Grolleau is a Full Professor at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique) specializing in real-time systems. He is affiliated with the LIAS laboratory (Laboratoire d'Ingénierie des Applications de la Sensorique) where he leads the Real Time Team. His work bridges theoretical scheduling principles with practical embedded system implementations across multiple domains. Professor Grolleau's primary research interests include: Real-Time Scheduling: uniprocessor, multiprocessor, and distributed scheduling with practical considerations like transactions and precedence constraints Model-Based Systems Engineering (MBSE): developing bridges between UML-MARTE and AADL to real-time scheduling tools Unmanned Aerial Vehicles (UAVs): autopilot architecture design and optimization Energy Systems: co-heading the LabCom ANR Laboratoire d'Insertion des Énergies Nouvelles et d'Optimisation des Réseaux (LIENOR) His publication record demonstrates a clear progression from fundamental scheduling theory to applied work spanning avionics, drone technology, and power systems. Recent work shows strong focus on UAV autopilot architectures, model-based frameworks for real-time systems, and energy management in power distribution networks. Professor Grolleau serves on multiple prestigious program committees including Real-Time Networks & Systems (RTNS) since 2012, ACM/SIGAPP Symposium On Applied Computing (SAC) since 2015, DETECT since 2018, and DroneSE in 2023. He has led significant research projects such as PIA CORAC Panda and FUI WARUNA, which developed the Time4Sys pivot meta-model to connect theoretical scheduling with practical implementation. His collaborative work extends across multiple institutions and industries, with publications spanning real-time scheduling theory, UAV systems, energy management, and avionic architectures. The consistent thread through his work is the practical application of real-time scheduling principles to solve complex engineering problems in safety-critical systems.