جست‌وجوی استاد و پژوهشگر

Christos Kozyrakisمشاهده پروفایل

استاد

• Computer Architecture
• Computer Systems
• Cloud Computing
• +۶ مورد دیگر

Christos Kozyrakis is a Professor in the Departments of Electrical Engineering and Computer Science at Stanford University. His research focuses on computer architecture, computer systems, and cloud computing, with contributions to energy-efficient systems, machine learning infrastructure, and database-oriented operating systems. He leads the MAST research group and directs the Stanford Platform Lab. Education: Bachelor's Degree in Computer Science, University of Crete PhD in Electrical Engineering and Computer Sciences, University of California, Berkeley Research Interests: Kozyrakis explores cloud management, machine learning systems, energy-efficient architectures, and hardware-software co-design. Notable projects include DBOS (a database-oriented OS), the MAST group's work on serverless computing and storage systems, and energy-proportional data center design. Awards: ACM SIGARCH Maurice Wilkes Award ISCA Influential Paper Award NSF Career Award Okawa Foundation Research Grant ACM and IEEE Fellowships Advising & Grants: Supervised over 20 PhD and master's students, with notable alumni contributing to academia and industry. Supported by NSF, DARPA, SRC, Google, Microsoft, and other industry collaborations. Labs & Teams: Leads the MAST research group and directs the Stanford Platform Lab, focusing on cutting-edge systems research and prototyping.

Vijay Krishnaمشاهده پروفایل

استاد

• Economic Theory
• Industrial Organization
• Computer Engineering
• +۳ مورد دیگر

Vijay Krishna is a Distinguished Professor of Economics at Penn State University and serves as the Job Market Placement Director in the Department of Economics. His academic career includes a Ph.D. in Economics from Princeton University (1983), an M.A. in Economics from Delhi University (1978), and a B.A. in Mathematics from Delhi University (1976). His research focuses on Economic Theory and Industrial Organization , with recent interdisciplinary contributions in electronics and computer engineering. Notable areas include ferroelectric devices, memory storage technologies, and hardware security. He has also explored neural network architectures and energy-efficient computing systems. Recent publications (2023–2025) highlight innovations in cryogenic logic gates, nonvolatile memory systems, and hybrid neural networks. His work often bridges theoretical economics with applied engineering, reflecting cross-disciplinary collaboration. Awards and grants are not explicitly listed in the provided materials, but his extensive publication record underscores sustained academic engagement. Professor Krishna advises on job market placements for economics PhD students and maintains an active role in academic administration. His research group explores cutting-edge technologies in both traditional economic theory and emerging computational fields.

• Fault-Tolerant Computing
• Digital Circuit Design
• Embedded Systems
• +۳ مورد دیگر

Jakob Lechner is an External Lecturer in the Computer Engineering department at Vienna University of Technology. His work focuses on fault-tolerant digital circuit design, asynchronous systems, and robust hardware architectures. Education : PhD in Computer Engineering (2014), Diploma in Computer Engineering (2008) Research interests include: Fault-tolerant computing Asynchronous circuit design Transient error mitigation in FPGAs Triple Modular Redundancy (TMR) Metastability containment Single Event Transients (SET) resilience His publications (2006–2018) emphasize fault injection techniques, robust GALS circuits, and asynchronous communication protocols. Key projects include Intel CARS (2017–2019) on delay-insensitive codes. Supervision : Guided K. D. Pados' thesis on AXI4 bus systems (2013).

• Unconventional Computing
• Bio-inspired Computing
• Modeling and Simulation
• +۴ مورد دیگر

Dr. Antisthenis Tsompanas is a Senior Lecturer in Computer Science at the University of the West of England (UWE), part of the Faculty of Engineering and the Environment (FET). His research focuses on unconventional and bio-inspired computing, with expertise in modeling biological processes, cellular automata, and memristive systems. He holds degrees in Electrical and Computer Engineering from Democritus University of Thrace, Greece. Research interests span unconventional computing, bio-inspired algorithms, electronic systems design, and applications of cellular automata in computing and engineering. His work includes projects on fungal-inspired computing, neuroevolution-based medical device design, and FPGA implementations of biological models. Publications highlight trends in mycelium-based systems, memristive oscillators, and neuroevolution techniques applied to soft robotics and medical devices. Collaborative projects include EU-funded initiatives and interdisciplinary research in biomimetic engineering. He is a member of the Technical Chamber of Greece since 2009. Current contributions include advancing biohybrid actuators, developing models for engineered living materials, and exploring computational universality in biological systems.

• Soil Science
• Agricultural Engineering
• Materials Science
• +۳ مورد دیگر

Rui Machado is an academic affiliated with the University of Algarve, University of Évora, and Embrapa. His research spans diverse fields including soil science, materials science, biotechnology, and environmental science. He has published extensively on topics such as soil salinity management, FPGA-based hardware design, and hydrogel-based cancer therapies. His work on tomato root distribution and irrigation regimes has contributed to agricultural sustainability. Machado's recent studies focus on combating skin cancer using advanced biomaterials and analyzing agroforestry systems in Portugal. He has developed computational tools like StemChecker for stem cell research and databases for molecular interaction networks. His interdisciplinary approach bridges engineering, biology, and environmental science. Research Highlights: Leadership in hydrogel applications for medical treatments Pioneer in FPGA-based time-to-digital converter optimization Expertise in soil management and crop physiology Creator of UniHI database for human molecular interactions

• Software-Defined Radio (SDR)
• Wireless Networking
• FPGA-Based Systems
• +۳ مورد دیگر

Wei Liu is a postdoctoral researcher at the Department of Information Technology (EA05) , Faculty of Engineering and Architecture , Ghent University. His work focuses on advanced wireless networking technologies, particularly through Software-Defined Radio (SDR) and Field Programmable Gate Array (FPGA) implementations. Key contributions include the development of openwifi , a free and open-source IEEE802.11 SDR implementation on System-on-Chip (SoC) platforms Research expertise in Wi-Fi 6 , OFDMA , cross-technology interference , and low-latency SDR architectures Liu's publications demonstrate a strong focus on: Time synchronization (Wi-Fi and UWB integration, multi-hop networks) Spectrum sensing (heterogeneous devices, multi-fidelity data) Network virtualization for dynamic wireless environments Security and experimentation with SDR frameworks He collaborates extensively with researchers like Xianjun Jiao , Ingrid Moerman , and Muhammad Aslam , with projects spanning from 2010 to 2025.

• Wireless Communications
• Radio Frequency (RF) Engineering
• Signal Processing
• +۴ مورد دیگر

Ronan Farrell is a Professor in the Department of Electronic Engineering at Maynooth University’s Faculty of Science & Engineering and currently serves as Vice President Academic and Registrar. He earned a BE and PhD from University College Dublin (1993, 1998) and previously worked at ICI/Zeneca Chemicals (1993–1995) and Parthus Technologies (1998–2001) as a mixed-signal ASIC designer. His academic career at Maynooth spans from Lecturer to Professor (2016), with leadership roles as Head of Department (2012–2019) and Director of the Callan Institute (2008–2015). He leads SFI research initiatives in radio frequency electronics and sensor networks. Education: BE (1993), PhD (1998) – University College Dublin Leadership: Head of Electronic Engineering (2012–2019), Director of Callan Institute (2008–2015) Research Focus: Wireless system design, RF/mixed-signal electronics, technology transfer, and innovation. His work bridges theoretical advancements (e.g., MIMO capacity optimization) with practical applications (e.g., 5G transmitters, digital predistortion techniques). Publication Trends: Recent articles emphasize 5G wireless systems, power amplifier linearization, OFDM signal processing, and behavioral modeling. Collaborations span institutions in Ireland, Europe, and Asia, with a focus on hardware implementation and system optimization. Students & Collaborations: Mentions co-authors in publications but no explicit student list provided. Collaborates with researchers in Ireland, Germany, and China.

• Quantum Computing
• Cryogenics
• Data Acquisition Systems
• +۳ مورد دیگر

Oliver Sander is a researcher at the Institute for Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT) . His work focuses on advanced electronics systems for quantum computing, cryogenic sensors, and high-energy physics experiments. Academic Rank: Researcher Research Affiliation: Institute for Data Processing and Electronics (IPE), KIT Contact: oliver.sander@does-not-exist.kit.edu Dr. Sander's research spans multiple disciplines, including quantum engineering , microwave electronics , and real-time data acquisition . He has pioneered electronic solutions for superconducting qubit control, cryogenic sensor readout, and particle detector systems at the Large Hadron Collider. His recent publications highlight advancements in microwave SQUID multiplexers , RFSoC-based readout systems , and modular quantum interface controllers . These works demonstrate a strong focus on scalability, noise reduction, and integration of heterogeneous hardware for precision measurements. At IPE, Dr. Sander contributes to cutting-edge projects like the ECHo experiment for neutrino mass measurement and the QUBIC telescope for cosmic microwave background studies. His expertise in field-programmable gate arrays (FPGAs) and multi-core architectures enables robust solutions for safety-critical systems in both physics and automotive domains.

Bernd Kleinمشاهده پروفایل

استاد

• Digital Signal Processing
• Radio Astronomy
• Submillimeter Astronomy
• +۵ مورد دیگر

Prof. Dr. Bernd Klein is a Professor at the University of Applied Sciences Bonn-Rhein-Sieg (H-BRS) and Head of the Department of Digital Signal Processing and Submillimeter Technology at the Max Planck Institute for Radio Astronomy (MPIfR) . He serves as Project Manager for the APEX Telescope in Chile and Co-PI for the GREAT Receiver on NASA/ESA's SOFIA Observatory. 1989–1993: Diplom (FH) in Electrical Engineering, FH Gießen-Friedberg 1993–1996: Supplemental Studies in General Electrical Engineering, University of Siegen 1999–2004: Doctoral Researcher, MPIfR 2005: PhD in Astronomy, University of Bonn His research focuses on digital signal processing , THz/spectrometer development , and radio astronomical instrumentation . He pioneered high-resolution Fast Fourier Transform Spectrometers (FFTS) for telescopes like Effelsberg, APEX, SOFIA, and MeerKAT, with applications in submillimeter astronomy and space debris analysis . Key trends in his 15 most recent publications span terahertz heterodyne systems , quantum cascade laser phase-locking , stellar feedback mechanisms , and atomic oxygen detection in planetary atmospheres. His work bridges instrumentation development and observational astrophysics . 2018 : THz Science and Technology Best Paper Award, IEEE Microwave Theory and Techniques Society He leads instrumentation projects for radio telescopes and contributes to large-scale collaborations like the SFB 1601 (2023–present) on digital signal processing. His technical expertise includes field-programmable gate arrays (FPGAs) , heterogeneous computing architectures , and machine learning for astronomical data .

• Reconfigurable Computing
• High-Performance Computing
• Field-Programmable Gate Arrays (FPGAs)
• +۳ مورد دیگر

Carl-Johannes Johnsen is a Ph.D. student and Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in reconfigurable computing and machine learning acceleration for X-ray food inspection systems. His research integrates FPGA-based hardware acceleration with compiler design for high-performance computing, focusing on programming models for Field-Programmable Gate Arrays and optimization of machine learning pipelines. Additional interests include concurrent and distributed programming education methodologies that prioritize conceptual understanding over formal proofs. Publication analysis (2019-2022) reveals consistent contributions to FPGA acceleration of scientific workloads (molecular dynamics), novel compiler vectorization techniques, and minimalist hardware implementations. His work bridges computer architecture, parallel computing, and practical applications in food safety inspection through cross-disciplinary collaboration. No scientific awards were documented in the source material. As an active doctoral candidate, Johnsen has no advisory responsibilities. Research grant details were not specified in the provided information. He operates within the Programming Languages and Theory of Computation research environment at the Department of Computer Science, engaging in international collaborations focused on hardware-software co-design as indicated by network analysis metrics.