جستجوی استاد راهنمای دانشگاهی

Dustin Richmond is an Assistant Professor in the Department of Computer Science and Engineering at the Baskin School of Engineering, University of California, Santa Cruz. His work focuses on secure, usable hardware systems with applications in FPGA acceleration, RISC-V architectures, and side-channel analysis. Email: drichmond@ucsc Office: Engineering 2, Room 221 Research Interests: Secure hardware systems FPGA-based computing Manycore processors High-level synthesis Side-channel vulnerabilities Notable Article Trends: Recent publications emphasize cloud FPGA security, manycore design optimization, and hardware security. Earlier works focus on RISC-V acceleration, OpenCL compiler enhancements, and heterogeneous computing systems. GitHub Contributions: Maintains open-source projects like RISC-V-On-PYNQ and PYNQ-HLS, addressing FPGA programming challenges and RISC-V integration. Active in resolving community issues related to toolchain compatibility and hardware-software interfaces.

• Computer Architecture
• FPGA
• RISC-V
• +۴ مورد دیگر

Shoba Krishnan is a Professor in the Department of Electrical and Computer Engineering at Santa Clara University's School of Engineering. Her work spans analog and mixed-signal integrated circuit design, carbon nanotube interconnect modeling, and engineering education initiatives. Education: B. Tech., Jawaharlal Nehru Technological University (1987) M.S., Michigan State University (1990) Ph.D., Michigan State University (1993) Her research focuses on high-speed data communication ICs, particularly clock/data I/O circuits, and explores carbon nanotubes as interconnect materials. She's expanding into bio-engineering instrumentation and renewable energy power electronics. Publications highlight work on low-power high-speed drivers, carbon nanotube via resistance analysis, microwave frequency modeling, and BIST structures for transceivers. She advises IEEE and Engineers Without Borders chapters at SCU.

• Analog and Mixed-Signal Integrated Circuit Design
• High-Speed Data Communication Systems
• Clock and Data I/O Circuits
• +۴ مورد دیگر

Dr. Charlotte Debus serves as a junior research group leader at the Scientific Computing Center (SCC) of Karlsruhe Institute of Technology (KIT), directing her independently funded research group since 2022. Her work pioneers sustainable artificial intelligence through robustness optimization, energy efficiency improvements, and carbon footprint reduction in large-scale AI systems. Her academic foundation includes a physics degree and doctoral research focused on AI methods for medical imaging. Prior to leading her KIT group, she contributed to the Helmholtz AI program as an AI consultant, advising researchers across the Helmholtz Association on AI implementation strategies. Dr. Debus's research integrates high-performance computing (HPC) principles into AI training workflows to eliminate computational bottlenecks. She demonstrates how synchronizing data loading, forward/backward computation, and network communication across CPU/GPU architectures minimizes idle time and energy waste. Her meteorology case study proves 2D AI architectures achieve weather forecasting accuracy comparable to 3D models while drastically reducing training time and resource consumption—revealing data processing speed and volume as critical efficiency factors beyond dimensional structure. Funded by the German Federal Ministry of Education and Research, her group develops transparent benchmarking frameworks for AI energy consumption metrics. She actively advocates for industry-wide adoption of these standards to convert computational energy use into tangible CO2 emissions data, driving environmentally responsible AI development practices across research and industry sectors.

• Artificial Intelligence
• Sustainable Computing
• High-Performance Computing
• +۲ مورد دیگر

Poria Fajri is an Associate Professor at the University of Nevada, Reno . His research focuses on electric and hybrid electric vehicles, renewable energy systems, and advanced power electronics control. Electric and hybrid electric vehicles Plug-in Hybrid Electric Vehicle (PHEV) and Vehicle-to-Grid (V2G) technology Wind and solar power generation technologies Optimal control of power electronic devices utilized in renewable energy generation Automotive/aerospace power electronics and motor drives Energy management in hybrid systems Mechatronics and robotics Recent publications highlight his work on machine learning applications for power consumption modeling and motor fault detection, hybrid ML-digital twin frameworks for cyberattack differentiation, and GaN-based inverter optimization. His research spans grid resilience, autonomous vehicle energy efficiency, and cybersecurity in smart distribution systems. Key article trends include integrating machine learning with energy systems, advancing V2G technologies, and addressing cybersecurity challenges in smart grids. His work on regenerative braking optimization and power electronics for renewable energy systems demonstrates a focus on sustainable transportation and grid stability.

• Electric and hybrid electric vehicles
• Plug-in Hybrid Electric Vehicle (PHEV) and Vehicle-to-Grid (V2G) technology
• Wind and solar power generation technologies
• +۴ مورد دیگر

Jacob Karl Rosenstein is an Associate Professor of Engineering at Brown University , specializing in mixed-signal electronic design and bioelectronics . His research focuses on developing high-resolution, low-power interfaces to biological systems using integrated circuits and materials. Education : PhD (2012), MS (2009) in Electrical Engineering from Columbia University; ScB (2005) from Brown University. Research Interests : Bioelectronics, biosensor arrays, nanopore technology, electrochemical imaging, and molecular computation. Teaching : Courses include Digital Computing Systems (ENGN 0500), Electrical Circuits and Signals (ENGN 0520), Mixed-Signal Electronic Design (ENGN 2912K), and Topics in Bioelectronics (ENGN 2912L). Scientific Contributions include advancements in CMOS-integrated nanopore sensors, high-speed bioelectronic interfaces, and electrochemical imaging systems. His recent work involves machine olfaction, capacitance tomography, and ultrafast thermal cameras. Awards : Best Paper Award at BioCAS 2021, Best Paper Nomination at ISCAS 2025, Halpin Capstone Prize 2023. Students advised include Kangping Hu (PhD 2022), Steven (PhD candidate), Manar Incandela (extended paper 2024), and Yutong (Master’s thesis 2024). The Rosenstein Laboratory for Embedded Bioelectronics fosters interdisciplinary research between electronic systems and biological applications.

• Bioelectronics
• Integrated Circuit Design
• Biosensors
• +۳ مورد دیگر

Guillaume Ferre is a full Professor at ENSEIRB-MATMECA, an engineering school within Bordeaux INP. He leads the SPECTRAL team in the SIGNAL AND IMAGE PROCESSING research group at IMS laboratory (Laboratoire de l'intégration, du matériau au système), focusing on circuits and systems for digital communications. PhD from Limoges University of Technology (2006) Research areas: Signal processing, IoT applications, and digital communication systems Currently supervises 6 PhD students in industrial research projects Director of Industrial Relations at ENSEIRB-MATMECA since 2022 His recent publications demonstrate strong focus on IoT technologies, with applications in precision agriculture and social distancing monitoring. He has also contributed to advanced communication systems including LoRa technology, interference cancellation, and faster-than-Nyquist signaling. His work bridges theoretical research with practical implementations in both academic and industrial contexts.

• Digital Communications
• Signal Processing
• Circuits and Systems
• +۳ مورد دیگر

Dr. Johannes Pfau serves as a Scientific Assistant at the Institute for Information Processing Technology (ITIV) within Karlsruhe Institute of Technology (KIT), working in Prof. Becker's research group. His position combines postdoctoral research in advanced FPGA architectures with teaching responsibilities including System-on-Chip internships and academic advising for specialized engineering tracks. Education: Doctorate (Dissertation) in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, 2024 Research Interests: Pfau's work centers on reconfigurable computing with three interconnected pillars: (1) Next-generation FPGA architectures using emerging technologies like RFETs that require fundamental toolchain redesigns; (2) Digital beamforming systems for satellite Earth observation that replace analog processing with FPGA-based solutions to enable on-orbit data compression; and (3) High-throughput data acquisition systems for 6G prototyping handling multi-100Gbps streams through RFSoC platforms. His research bridges semiconductor physics, hardware architecture, and practical applications in communications and remote sensing. Publication Trends: Pfau's 15 most recent publications (2021-2024) reveal a strong focus on practical FPGA implementations addressing real-world constraints. His work increasingly integrates power management (7 papers), 6G infrastructure (5 papers), and novel semiconductor technologies (4 papers), with a clear trajectory toward hardware solutions for satellite communications and next-generation wireless systems. The research demonstrates consistent progression from architectural innovations (RFET, V-FPGAs) to applied systems (beamforming, 6G testbeds). Advising and Mentorship: Pfau maintains an active student supervision portfolio with documented guidance of 7+ Bachelor's and Master's theses since 2021. His projects emphasize hands-on hardware development, spanning power management techniques, beamforming filter design, and prosthetic control systems. The academic advising role for specializations 13 and 21 positions him at the intersection of computer science and electrical engineering education. Research Context: As a core member of Prof. Becker's group at ITIV, Pfau contributes to KIT's leadership in reconfigurable systems research. The group maintains strong industry connections through 6G initiatives and satellite technology development, with Pfau's work directly supporting German and European efforts in secure communications infrastructure and Earth observation systems.

• FPGA Architecture
• Reconfigurable Computing
• Digital Beamforming
• +۳ مورد دیگر

Dr. Robert Smyk is an Assistant Professor in the Department of Automation at Gdańsk University of Technology's Faculty of Electrical and Automation Engineering. His office is located on floor 112 of the faculty building, and he can be contacted via email at robert.smyk@pg.edu.pl or by phone at +48 58 347 1332. Dr. Smyk's research spans several interconnected domains: Hardware-focused computing : FPGA implementations, residue arithmetic systems, and high-speed digital converters Algorithm development : Novel approaches to residue number system operations and signal processing optimizations Engineering applications : Computer vision for infrastructure inspection, cryptographic systems, and sensor data processing His publications demonstrate consistent focus on improving computational efficiency through mathematical optimizations and hardware-aware designs. With 67 publications documented in institutional repositories, his recent works explore: algorithmic improvements for residue arithmetic (2023-2025), thresholding/edge detection for industrial vision systems (2018-2022), and hardware architectures for specialized converters. Teaching activities include extensive involvement with 163 documented educational engagements.

• FPGA
• Remainder Arithmetic
• Residue Number System
• +۵ مورد دیگر

Professor Ralf Boden is a faculty member at Dresden University of Applied Sciences (HTW Dresden) in the Faculty of Electrical Engineering. He holds a professorship for Signal Processing / Electronic Measurement Technology and serves as Coordinator for the Practical Study Semester. His research focuses on several key areas in communication technology: Visible Light Communications Modern wired home networking technologies (G.hn) Energy-efficient transmission methods using plastic optical fibers (POF) Improving the impulse noise immunity of DSL systems Professor Boden teaches a comprehensive range of courses including Signal Processing, Digital Signal Processing, Message Transmission, Modeling of Communication Systems, Computer Networks, Embedded Systems, and Operating Systems. His teaching approach emphasizes application-oriented learning with practical laboratory components, covering both direct and distance learning programs. His publication record from 2000-2019 shows a clear research trajectory from ADSL systems to modern home networking standards, particularly G.hn. The publications demonstrate consistent focus on practical implementations of communication technologies with real-world applications, especially in residential networking environments. Professor Boden collaborates with researchers including T. Dittrich, A. Bluschke, C. Jordan, and P. Rietzsch, indicating strong research partnerships. His work on projects like 'CoolPOF' shows engagement with industry-relevant research focused on improving energy efficiency in optical communications.

• Visible Light Communications
• Wired Home Networking Technologies
• Energy-efficient Transmission Methods
• +۳ مورد دیگر

Valerio Re is a Full Professor of Electronics at the Department of Engineering and Applied Sciences of the University of Bergamo, specializing in microelectronics for radiation detectors and sensor systems. His academic career spans over three decades with significant contributions to high-energy physics instrumentation and biomedical sensor applications. Re received his Physics degree with honors from the University of Milan in 1985 and earned his PhD in Electronic Engineering from the University of Pavia in 1990. His educational background provided the foundation for his subsequent research in advanced electronics for challenging environments. His research interests focus on analog front-end circuits for radiation detectors, noise and radiation resistance in electronic devices, development of measurement instrumentation, and nanoscale CMOS technologies for sensor signal processing. More recently, he has expanded into wearable sensor systems for wireless monitoring of physiological parameters. His work bridges fundamental electronics with practical applications in particle physics and healthcare. Analysis of his recent publications (2021-2025) reveals a strong focus on advancing pixel detector technology for high-energy physics experiments (particularly Belle II and HL-LHC), with increasing exploration of 2D materials and smart textiles for biomedical applications. His research demonstrates a consistent progression toward smaller technology nodes (65nm to 28nm CMOS) while addressing the challenges of radiation hardness and high data rates. Re has served as Scientific Director for two major Horizon 2020 projects: Advanced European Infrastructures for Detectors at Accelerators (2015-2020) and Remote Assessment of Disease and Relapse in Central Nervous System Disorders (2016-2022). From 2014-2017, he coordinated the Analog Working Group of CERN's RD53 project, and from 2015-2020 led WP4 of the AIDA-2020 project. His teaching portfolio includes Biomedical Sensors for Medical and Mechatronics Engineering programs, and Electronics and Industrial Measurements for Computer Engineering. His research group collaborates extensively with microelectronics companies, clinical research institutions, and international physics laboratories including CERN and INFN.

• Electronics
• Microelectronics
• Radiation Detectors
• +۵ مورد دیگر

Dr. Azad Siahmakoun is Professor of Physics and Optical Engineering at Rose-Hulman Institute of Technology, serving as Founding Director of Micro-Nanoscale Devices & Systems Facilities, Associate Dean of Faculty, and Director of Graduate Studies. His $6.4 million in research funding from federal/state agencies and industry supports state-of-the-art facilities including the MiNDS Cleanroom and RF Photonics Laboratory. Educational Background: PhD in Physics, University of Arkansas (1987) MS in Physics, Texas A&I University (1981) BS in Physics, Joundi Shapoor University (1978) His research integrates photonics, MEMS, and nanotechnology with emphasis on silicon photonics, optical data conversion, and beamforming systems. Work spans plasmonic nanostructures, photorefractive materials, and chaotic systems, advancing both fundamental science and practical applications in optical engineering and signal processing. Publication analysis reveals sustained focus on photonic data converters (2015-2009), with earlier work on optical beamforming (2005-2003) and nanophotonic materials (2008-2002). The corpus demonstrates consistent innovation in microwave photonics, optical signal processing, and MEMS fabrication across four decades. Key recognitions include: Board of Trustees Outstanding Scholar Award (1999) SPIE Fellow (2009) ONR Senior Fellow (2007) OSA Senior Member Dr. Siahmakoun has mentored over 100 undergraduate researchers and dozens of master's students. His $6.4 million in grants enabled establishment of critical research infrastructure at Rose-Hulman, supporting both educational and industrial collaboration initiatives. He directs three core facilities: Micro-Nano Device and Systems (MiNDS) lab for nanofabrication, Nonlinear Optics lab for fundamental photonics research, and Center for Applied Optics Studies for industry-relevant optical engineering development.

• Optics
• Photonics
• Micro-Electro-Mechanical Systems (MEMS)
• +۷ مورد دیگر