جست‌وجوی استاد و پژوهشگر

• Operating Systems
• Parallel Computing
• Scheduling in Parallel Systems
• +۳ مورد دیگر

Venetis Ioannis is an Assistant Professor at the Department of Informatics, School of Information and Communication Technologies, University of Piraeus. His research focuses on operating systems, parallel computing, and high-performance computing applications in seismology and computational neuroscience. His research interests include: Operating Systems Parallel Computing Models Scheduling in Parallel Systems Real-Time Parallel Applications Seismology and Computational Neuroscience GPU and Many-Core Optimization Recent publications highlight his work on heterogeneous cluster scheduling, GPU-based neuronal modeling, and seismic event detection using grid search algorithms. Venetis has participated in European and national research programs related to parallel computing and high-performance applications. He teaches courses such as Operating Systems, Parallel Processing, and Assembly Language Programming, with a focus on practical implementations in high-performance environments.

Christos Ttofiمشاهده پروفایل

مدرس

• Computer Vision and Image Processing
• Real-Time Software Algorithms
• FPGA Design
• +۹ مورد دیگر

Dr. Christos Ttofi is an Associate Lecturer at the Department of Electrical and Electronic Engineering, UCLan Cyprus. He holds a PhD in Computer Engineering (University of Cyprus, 2014), an MSc in Computer Engineering (2011), and a BSc in Computer Engineering (2009). His research focuses on embedded systems, FPGA design, real-time algorithms, and computer vision. He has contributed to over 10 peer-reviewed publications and has received multiple awards, including the Best Paper Award at the IEEE International Conference on Microelectronic Systems Education (2009). Education: PhD in Computer Engineering, University of Cyprus (2009–2014) MSc in Computer Engineering, University of Cyprus (2009–2011) BSc in Computer Engineering, University of Cyprus (2005–2009) Research Interests: Computer Vision and Image Processing Hardware/Software Co-design Embedded Systems & Microcontrollers FPGA Design and Real-Time Algorithms Networks-on-Chip (NoC) and MPSoC Architectures Publications: His work spans embedded vision systems, FPGA-based computing, and real-time algorithm optimization, with notable contributions to IEEE Transactions and ACM conferences. Awards: Best Paper Award (IEEE Microelectronic Systems Education, 2009) Distinction as Best Senior Student in Computer Engineering (2008–2009) Full Scholarship for Doctoral Studies (2011–2014) Teaching & Grants: He leads the 'Digital Systems' module and contributed to research grants such as the EUROSTARS-funded 'RUNNER' project (2011–2013) and the Research Promotion Foundation's MPSoC initiative (2009–2011).

Muhammad Yahyaمشاهده پروفایل

پژوهشگر

• Optical Network-on-Chip (ONoC)
• Cybersecurity
• Heuristic Optimization Algorithms
• +۲ مورد دیگر

Muhammad Yahya is a researcher at Nanjing University of Aeronautics and Astronautics with affiliations to institutions like Universiti Malaysia Terengganu and Norwegian University of Life Sciences. His work bridges optical network-on-chip (ONoC) and cybersecurity domains. H-index: 21 Total citations: 1,400+ Research Interests: Focus on photonic interconnects for manycore processors, heuristic optimization algorithms for crosstalk reduction, and security vulnerabilities in optical networks. Key projects include: Designing non-blocking optical switches with reduced power consumption Developing DPA-resistant cryptographic architectures for lightweight ciphers Creating heuristic fusion mapping algorithms combining PSO and SA Publication Trends: Recent articles (2018-2023) demonstrate expertise in optical router design , fault analysis of encryption protocols, and machine learning applications to network optimization. Technical Contributions: Invented the PSO_SA algorithm for crosstalk optimization, HoneyComb ROS reconfigurable switches, and two-domain MATLAB frameworks for computational mathematics.

Hartwig Anztمشاهده پروفایل

استاد

• High-Performance Computing
• Sparse Linear Algebra
• Iterative Methods
• +۶ مورد دیگر

Prof. Hartwig Anzt is a Professor at TU Munich, leading the Chair of Computational Mathematics within the TUM School of Computation, Information, and Technology. He also holds a professorship at the University of Tennessee and directs the Innovative Computing Lab (ICL). His research focuses on high-performance computing, particularly in sparse linear algebra, iterative methods, Krylov solvers, and preconditioning. He emphasizes sustainable software development and leads the Ginkgo open-source library for scientific computing. Academically, Anzt earned his PhD in 2012 from the Karlsruhe Institute of Technology (KIT) and led a Helmholtz junior research group there. He has extensive collaborations with institutions like Sandia National Laboratories, Argonne National Laboratory, and the University of Tennessee. His software projects include Ginkgo and MAGMA-sparse, both part of the xSDK ecosystem. Recent talks highlight his work on exascale computing, GPU optimization, and software sustainability. He advocates for platform-portable numerical libraries and has contributed to the Exascale Computing Project (ECP). His research addresses challenges in energy efficiency, fault tolerance, and algorithm design for multi/manycore architectures.

Sebastian Altmeyerمشاهده پروفایل

استاد

• Real-time systems
• Embedded systems
• Multi-core architectures
• +۴ مورد دیگر

Sebastian Altmeyer is a Professor holding the Chair for Embedded Systems at the Institute of Computer Science within the Faculty of Applied Computer Science at the University of Augsburg. He has been in this position since August 2019, following his role as Assistant Professor at the University of Amsterdam from September 2017 to July 2019. Professor Altmeyer's research focuses on real-time systems and embedded computing, with particular expertise in multi-core architectures, cache analysis, scheduling algorithms, and response time analysis. His work bridges theoretical computer science with practical applications in safety-critical systems. He leads research projects including ADMORPH EU H2020, Multi-Core Response Time Analysis (MRTA), Design of Hardware Transactional Memory for Embedded Systems, and several others focused on manycore architectures and embedded system design. His extensive publication record demonstrates consistent contributions to the field of real-time systems, with recent work focusing on systematic evaluation techniques for real-time systems, multicore interference analysis, safety-critical edge robotics, and hardware transactional memory. His research shows a clear trajectory toward addressing the challenges of modern embedded systems with increasingly complex hardware architectures while maintaining real-time guarantees. Professor Altmeyer leads the Chair for Embedded Systems team at the University of Augsburg, which includes Prof. Dr. Theo Ungerer, Petra Zettl, Dr.-Ing. Martin Frieb, and several other researchers. The team conducts research in areas including hardware transactional memory, manycore architectures, and real-time system analysis. Their work has practical applications in safety-critical systems where timing guarantees are essential.

Yufei Dingمشاهده پروفایل

دانشیار

• Quantum Computing
• Machine Learning
• Compiler Optimization
• +۳ مورد دیگر

Yufei Ding is an Associate Professor in the Computer Science & Engineering Department at the University of California, San Diego (UCSD), and founder of the PICASSO Lab. She earned a Ph.D. in Computer Science from North Carolina State University and a B.S. in Physics from the University of Science and Technology of China. Research Interests: Quantum Computing Machine Learning Domain-Specific Languages Compiler Optimization Hardware Acceleration High-Performance Computing Her recent publications focus on quantum compilation, error correction, and machine learning systems, with a particular emphasis on hardware-aware optimizations. She has received multiple prestigious awards, including the NSF CAREER Award (2020) and the IEEE TCHPC Early Career Researchers Award (2019). Scientific Awards: NSF CAREER Award (2020) IEEE Computer Society TCHPC Early Career Researchers Award (2019) Yufei actively advises Ph.D. students and postdoctoral researchers in quantum computing and machine learning systems. Her lab offers openings for both quantum computing and machine learning research.

Adrian Sampsonمشاهده پروفایل

دانشیار

• computer architecture
• programming languages
• compilers
• +۴ مورد دیگر

Adrian Sampson is an Associate Professor in the Department of Computer Science at Cornell University's Bowers College of Computing and Information Science. He leads the Capra research group, focusing on breaking down abstraction barriers and rethinking the hardware-software interface. Prior to his current position, he served as an Assistant Professor at Cornell University from 2016 to 2022 and completed his Ph.D. at the University of Washington in 2015 under advisors Luis Ceze and Dan Grossman. His research spans computer architecture, programming languages, and compilers, with a notable focus on approximate computing—the concept that computers can be more efficient if allowed to make controlled mistakes. Sampson has made significant contributions to hardware acceleration, FPGA programming, and type systems for heterogeneous computing. His work bridges the gap between software abstractions and hardware realities, particularly in the realm of accelerator design languages. The publications reveal a consistent trajectory in hardware-software co-design, with recent work focusing on predictable accelerator design, timeline types for hardware description, and geometry types for graphics programming. His research group has produced influential work on tools like Dahlia, a programming language that uses type systems to restrict high-level synthesis programs to subsets with predictable semantics and performance. Cornell Bowers CIS Ann S. Bowers Research Excellence Award (2024) Cornell Bowers CIS Computer Science Faculty of the Year (2024) Distinguished Artifact Awards (ASPLOS 2023, 2024) IEEE TCCA Young Computer Architect Award (2021) NSF CAREER award (2019) Google Faculty Research Award (2016) Sampson has advised numerous Ph.D. students whose dissertations cover topics like geometry types for graphics programming, lightweight formal methods, and compiler-driven autovectorization. His research has been supported by prestigious organizations including NSF, Google, and Microsoft Research. He serves on numerous program committees and has held leadership roles in the computer architecture and programming languages communities, including serving on the ACM SIGARCH Board of Directors.

Mary Lai Salvanaمشاهده پروفایل

استادیار

• Extreme Events Modeling
• Spatio-Temporal Statistics
• High Performance Computing
• +۲ مورد دیگر

Mary Lai Salvana is an Assistant Professor in the Department of Statistics at the University of Connecticut's College of Liberal Arts and Sciences. She holds a PhD in Statistics from King Abdullah University of Science and Technology and completed postdoctoral training at the University of Houston. Her research develops statistical frameworks for extreme events, risks, and disasters using spatio-temporal modeling, high-performance computing, and machine learning. Dr. Salvana's work focuses on climate change impacts, critical infrastructure vulnerability, and cascading disaster prediction. She leads research on self-organized criticality models for infrastructure resilience and develops computational tools for large-scale spatial data analysis. Her methodological innovations include MPCR (Multi-Precision Computations in R) and distributed computing approaches for environmental statistics. Dr. Salvana received the Al-Kindi Statistics Research Student Award in 2021 and serves as instructor for the Large-Scale Spatial Data Science course at Joint Statistical Meetings.

Sudeep Pasrichaمشاهده پروفایل

استاد

• Embedded Systems
• Internet of Things (IoT)
• Machine Learning
• +۱۲ مورد دیگر

Dr. Sudeep Pasricha is a Professor at the Walter Scott Jr. College of Engineering, Colorado State University, with joint appointments in the Departments of Computer Science and Systems Engineering. His research spans energy-efficient, secure, fault-tolerant, and real-time computing systems, focusing on embedded systems, IoT, machine learning, and high-performance computing. B.E. in Electronics and Communication Engineering, Delhi Institute of Technology (2000) Ph.D. in Computer Science, University of California, Irvine (2008) His work addresses hardware-software co-design for automotive, medical, and mobile applications, with innovations in silicon photonic architectures, processing-in-memory, and 3D integrated circuits. He has authored seven books, over 300 peer-reviewed publications, and secured patents in these domains. Dr. Pasricha's research is funded by NSF, SRC, AFOSR, DOE, ORNL, DoD, Fiat-Chrysler, HPE, and NASA. He has delivered keynotes on optical computing, AI acceleration, and sustainable datacenters at IEEE and ACM conferences. 2022 ACM Distinguished Speaker 2019 George T. Abell Outstanding Research Faculty Award 2016-2018 University Distinguished Monfort Professorship 2016-2019 Rockwell-Anderson Professorship IEEE-CS/TCVLSI Mid-Career Achievement Award (2018) AFOSR Young Investigator Award (2013) He serves on editorial boards of leading journals, including ACM Journal of Emerging Technologies in Computing and IEEE Transactions on Computers , and has chaired IEEE and ACM conferences.

• Computer Architecture
• Reconfigurable Computing
• Application Acceleration
• +۵ مورد دیگر

Professor Dionisios Pnevmatikatos holds the position of Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), where he leads research in Computer Architecture and Reconfigurable Computing. He previously served as a Professor at the Technical University of Crete (TUC) from 2000 to 2019, directing the Microprocessor and Hardware Laboratory (MHL) and chairing the department. His academic journey includes a B.Sc. from the University of Crete (1989), M.Sc. and Ph.D. from the University of Wisconsin-Madison (1991 and 1995). Research Interests: Focuses on Computer Architecture, Reconfigurable Computing, Application Acceleration, Custom Architectures, and Hardware Acceleration of Bioinformatics Algorithms. His work spans FPGA-based systems, parallel computing, and energy-efficient designs. Key Projects: Coordinator of FASTER (EU FP7), Principal Investigator in DeSyRe, AXIOM, dRedBox, and EDRAH2020 projects. Active in EU initiatives like H2020 OPTIMA and Vitamin-V for RISC-V ecosystems. Leadership roles in conferences include SAMOS 2018 and FPL 2011 program chairs. Teaching: Courses include Computer Architecture, Digital Systems Design, and Parallel Processing Systems at NTUA. Former roles include teaching at University of Crete and TUC. Labs: Affiliated with Computing Systems Laboratory (CSLab) at NTUA and FORTH-ICS since 1997. Involved in prototyping manycore architectures and network processors.

Artur Podobasمشاهده پروفایل

دانشیار

• Computer Architecture
• Embedded Systems
• Edge Computing
• +۳ مورد دیگر

Artur Podobas is an Associate Professor at the Division of Software and Computer Systems (SCS) within the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. He specializes in computer hardware engineering and embedded systems, with active involvement in research projects such as the Lego-inspired design framework for Edge AI systems. His teaching roles include course responsibilities for undergraduate and graduate courses in computer engineering, systems architecture, and embedded systems. Research Interests: His work focuses on portable and predictable performance in heterogeneous embedded systems, as evidenced by projects like PaPP (Portable and Predictable Performance) and ENCORE (ENabling technologies for a programmable many-CORE). These initiatives aim to improve scalability and efficiency in embedded manycore architectures. Advising & Grants: While specific student advisees are not listed, he oversees multiple degree projects in computer science, electrical engineering, and information technology at both undergraduate and graduate levels. His current project (2024–2026) on Edge AI systems highlights collaborative research efforts in accessible automated design frameworks. Labs/Teams: His research is tied to the PaPP and ENCORE initiatives, which likely involve interdisciplinary teams focused on embedded systems optimization and hardware/software co-design methodologies.

Alina Lazarمشاهده پروفایل

استاد

• Machine Learning
• Data Science
• Database Systems
• +۵ مورد دیگر

Dr. Alina Lazar is a Professor in the Department of Computer Science & Information Systems at Youngstown State University (YSU), part of the STEM College. She holds a Ph.D. in Computer Science from Wayne State University (2002) and a BS from Western University of Timisoara, Romania (1995). Her research focuses on Machine Learning, Data Science, and High Energy Physics applications, including Graph Neural Networks for particle tracking and traffic modeling using probe vehicle data. She has received multiple awards, including YSU Distinguish Professorships for Teaching (2025), Research (2022), and Service (2017). Lazar has secured a $600k grant from the DOE’s FAIR initiative for her work on large-scale models in HEP pattern recognition. Her teaching includes advanced courses like Deep Learning and Data Science. She has advised numerous master's theses and projects, with students focusing on topics like bug detection, database systems, and code readability. Lazar serves on NSF and DOE review panels and chairs conferences like OCWiC. Her interdisciplinary collaborations span physics (Lawrence Berkeley Lab), transportation, and software engineering.

Wendy Chenمشاهده پروفایل

مدرس ارشد

• AI Acceleration with Photonic Computing and Communication
• Resource Optimization in Computer Systems/Networks/Architectures
• Parallel and Distributed Computing
• +۵ مورد دیگر

Dr. Yawen (Wendy) Chen is a Senior Lecturer at the University of New South Wales (UNSW Canberra campus) , affiliated with the School of Systems & Computing . She holds a PhD in Computer Science from the University of Adelaide and focuses on interdisciplinary research at the intersection of photonic computing, AI acceleration, and network optimization. Education: PhD in Computer Science (University of Adelaide) Her research spans computer networks/systems , parallel/distributed computing , photonic computing/communication , and AI-related education . Recent publications highlight advancements in optical network-on-chips (ONoC), energy-efficient protocols for WBANs, and hybrid electrical-photonic computing architectures. Dr. Chen actively recruits PhD and Master’s students with expertise in photonic computing, AI accelerators, and network optimization. She offers scholarships of $37,684 (AUD) for eligible candidates.

Md Farhadur Rezaمشاهده پروفایل

استادیار

• Resource Management
• Networks-on-Chip
• Interconnection Networks
• +۵ مورد دیگر

Md Farhadur Reza serves as an Assistant Professor in the Department of Mathematics and Computer Science at Eastern Illinois University (EIU). His expertise spans resource management, interconnection networks, multi-core architectures, and machine learning/artificial intelligence, with active research and teaching in computer science courses including Machine Learning and Operating Systems. Dr. Reza's research focuses on optimizing Networks-on-Chip (NoC) architectures through innovative application mapping techniques. He develops energy-efficient solutions for deep neural network acceleration using reinforcement learning, convolutional neural networks, and nature-inspired algorithms like the Dragonfly Algorithm. His work bridges computer architecture and AI to solve performance bottlenecks in manycore systems. Recent publications (2023-2025) reveal a strong trend in AI-driven hardware optimization, particularly for healthcare applications like dementia prediction and energy-aware NoC designs. Key contributions include robust CNN frameworks for medical diagnostics and adaptive multi-objective mapping strategies for DNN workloads. Scientific Awards and Grants Achievement and Contribution Award (ACA) in Balanced category (2024) CLAS Travel Award (2022, 2023, 2024) EIU Council on Faculty Research Grants (Summer 2022, Fall 2023, Summer 2024, Fall 2024) Dr. Reza actively contributes to academic service as General Co-Chair and Technical Program Co-Chair for the IEEE/ACM International Workshop on Network-on-Chip Architectures (NoCArc) 2023-2024. He maintains professional affiliations with IEEE, ACM, and IEEE Young Professionals, and has delivered invited talks internationally including at National Yang Ming Chiao Tung University, Taiwan (April 2024).

Steven Lumettaمشاهده پروفایل

دانشیار

• Computational Genomics
• Smartphone-Based Bioassays
• Optical Network Architecture
• +۷ مورد دیگر

Steven Lumetta is an Associate Professor at the University of Illinois at Urbana-Champaign, affiliated with the College of Engineering's Department of Electrical and Computer Engineering, the Coordinated Science Laboratory, and holds an adjunct appointment in Computer Science. His research spans computational genomics, high-performance computing, network architecture, and reliability validation. Education: Ph.D. in Computer Science, University of California at Berkeley (1998) Research Interests: Computational genomics applications Smartphone-based bioassays Optical and computer network architecture Cluster and parallel computing systems User-level communication frameworks System validation and robustness Scientific Awards: NSF Faculty Early Career Development Award (2000) Best Student Paper Award at SC97 (1997) NSF Graduate Fellowship (1991-1995) Collins Fellow (2000-2002) GE Scholar distinction (1999) Professional Affiliations: Research Associate Professor, Coordinated Science Laboratory Faculty Fellow at National Center for Supercomputing Applications (historical) Member, Center for Excellence in Education's Chicago Board of Directors Teaching Contributions: Instructor for courses covering computer systems engineering, parallel programming, and manycore algorithms Multiple appearances on 'Incomplete List of Teachers Ranked as Excellent' Creator of satirical public speaking guide 'How to Give a Bad Talk'