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Ken SodaView profile

Associate Professor

• Electrical Engineering
• Semiconductor Materials
• VLSI Circuits Design
• +6 more

Ken Soda is a Part-Time Associate Professor of Engineering at the University of Southern Maine, affiliated with the Department of Engineering and the College of Science, Technology, & Health. Previously, he served for nearly 18 years as an Associate Professor of Electrical Engineering at the United States Air Force Academy, where he developed student design capabilities in VLSI Circuits and contributed to the implementation of the MOSIS IC manufacturing program. He integrated OrCAD/Cadence PSPICE tools into coursework and Senior Design projects, modernized the hardware electronics laboratory, and helped establish the Academy’s Systems Engineering Major. Education: PhD Electrical Engineering, University of Illinois, Urbana-Champaign (1982) MS Electrical Engineering, University of California, Berkeley (1974) BS Electrical Engineering, USAF Academy (1973) Research Interests: Dr. Soda’s work centers on semiconductor materials and processing, compound semiconductor devices, radiation effects on electronic systems, and the design of Application-Specific Integrated Circuits (ASICs). He emphasizes practical applications of engineering principles, including curriculum development that incorporates ethics and systems engineering methodologies. His contributions to microelectronics manufacturing include advancing industry practices through his involvement with SEMATECH. Advising/Grants: While no specific grants or student advisees are listed, Dr. Soda has been a key advisor in curriculum design and laboratory infrastructure at the Air Force Academy. His efforts included fostering student engagement in IC fabrication and ethics integration within engineering education. Labs/Teams: He modernized the hardware electronics laboratory at the Air Force Academy and contributed to the Systems Engineering program’s establishment. In industry, he collaborated with DoD research facilities and SEMATECH to advance semiconductor technologies.

Paraskevas KitsosView profile

Professor

• Hardware Security
• Cryptography
• Machine Learning Acceleration
• +7 more

Paraskevas (Paris) Kitsos is a Professor in the Department of Electrical and Computer Engineering at the University of Peloponnese. He holds a Physics degree and a PhD in Electrical Engineering and Computer Technology from the University of Patras. His expertise spans hardware security, cryptography, and FPGA/ASIC design. He collaborates with the Industrial Systems Institute of the ATHINA research center and has extensive teaching experience across multiple institutions, including the University of Patras and the Hellenic Open University. Research interests include hardware Trojan detection, cryptographic algorithm implementations, hardware acceleration of machine learning, and VLSI design. He has participated in over 15 European and national research projects, published over 120 articles, and received 1 grant with 1700+ citations. He reviews for prestigious journals and conferences and serves on program committees. His work focuses on secure hardware architectures, embedded systems, and IoT security. He advises on research projects and contributes to academic and industrial collaborations in telecommunications and network technologies.

• Embedded Systems
• IoT Security
• Digital System Design
• +3 more

Paulino Ruiz de Clavijo Vázquez is a Professor in the Department of Electronic Technology at the University of Seville. His primary research focuses on embedded systems, IoT security, digital system design, FPGA implementation, and hardware security. He leads and collaborates on numerous research projects, including advanced IoT boot systems, secure embedded communication, and high-precision timing synchronization for IoT devices. Key projects include the IRIS secure boot framework for IoT and the E-LUKS hardware encryption solution. His work spans both theoretical contributions (e.g., novel trigonometric computation algorithms) and applied hardware-software co-design (e.g., NanoFS file system). He has advised doctoral theses such as 'LILA: Low-level IoT Lightweight Applications.' His research also involves FPGA-based systems for real-time applications, including time servers and FFT modules. Projects like HAVOC (hardware audio codec) and HardTIME (high-precision timing) highlight his focus on practical hardware implementations. He has contributed to over 50 peer-reviewed publications, conference presentations, and patents related to embedded systems, digital circuit design, and IoT security solutions.

Dan NICULAView profile

Professor

• Digital Systems
• Hardware Description Languages
• Electronics Design
• +4 more

Professor Dan NICULA is a faculty member at the University of Transilvania in Brașov, Romania. He holds a Doctorate in Engineering (2017) from the same institution and a Master's degree in Applied Electronics Engineering from the Polytechnic University of Bucharest (1990). His academic roles include teaching courses such as Digital Electronics, Hardware Description Languages, and Digital Media Communication across undergraduate and graduate programs in Electrical Engineering and Computer Science. His research focuses on digital systems, hardware description languages (Verilog/VHDL), and electronic circuit design. Key contributions include textbooks like 'Digital Electronics: Emergency Textbook' (2020) and 'Verilog Textbook' (2019), which are foundational resources for students and professionals. He has supervised over 150 student theses, with recent topics spanning FPGA-based AI accelerators, UVM verification methodologies, and embedded system implementations. Professional experience includes roles at Intel (1999-2015) and Fotonation (2015-present), alongside his academic career. He is affiliated with the Faculty of Electrical Engineering and Computer Science and contributes to research initiatives in VLSI design, digital signal processing, and hardware-software co-design.

Mihai IVANOVICIView profile

Professor

• Image Processing
• Remote Sensing
• Fractal Analysis
• +3 more

Professor Mihai IVANOVICI is affiliated with the University of Transilvania in Brasov, Romania, serving in the Department of Electronic and Computers within the Faculty of Electrical Engineering and Computer Science . His research focuses on image processing, remote sensing, fractal analysis, and texture characterization , with applications in agriculture, biomedical engineering, and space technology. He leads projects integrating artificial intelligence into FPGA-based systems for cosmic radiation sensing and agricultural monitoring. Notable contributions include the DACIA5 dataset for crop identification and studies on vegetation indices using hyperspectral data. His work bridges theoretical analysis with practical implementations in domains like precision agriculture and satellite technology. Research Highlights: Developed fractal analysis models for soil roughness estimation and image segmentation Designed hardware accelerators for AI applications in gaming and space systems Explored EEG-based brain signal complexity linked to visual stimuli Awards: No awards explicitly listed in the provided texts. Grants & Collaboration: Active in EU-funded educational initiatives like InnEO’Space PhD for training young Earth Observation researchers. Collaborates with institutions on projects like the ATLAS New Small Wheel read-out controller ASIC. Contact: Located at Str. Institutului 10 (Corp L3) and Str. Politehnicii 1 (Corp N) in Brașov.

Traian TULBUREView profile

Lecturer

• Very Large Scale Integrated Circuits
• Digital Electronics
• Microelectronics
• +4 more

Traian TULBURE is a Lecturer at the Department of Electronics and Computers within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brașov. His research focuses on Very Large Scale Integrated Circuits, Digital Electronics, and reconfigurable architectures for structured ASIC technology. He has contributed to significant projects including the ATLAS experiment at CERN, particularly in developing readout controllers for muon spectrometers. Key research interests include optimizing testability in dynamic reconfigurable CPLD architectures and advancing structured ASIC applications. His work bridges microelectronics innovation with high-energy physics instrumentation, demonstrated through collaborations on particle detector systems. Publications emphasize both theoretical advancements (e.g., dynamic reconfiguration methodologies) and applied contributions to large-scale physics experiments. No scientific awards are explicitly mentioned, though his involvement in international collaborations like ATLAS highlights his professional standing. Advising activities and grant details are not detailed in the provided text. He has contributed to detector hardware development for the ATLAS New Small Wheel upgrade, reflecting his role in experimental physics instrumentation.

Ralf SchaeferView profile

Researcher

• Digital Video Coding
• Image Processing
• Video Analytics
• +4 more

Ralf Schaefer is a renowned academic and Division Director at the Fraunhofer Heinrich Hertz Institute (HHI) in Berlin, where he leads the Video Division with 90 researchers and oversees 50 undergraduate students. His career spans decades of innovation in video and imaging technologies. Education: Electrical Engineering at Technical University Berlin (TUB), earned doctorate (Dr.-Ing.) in 1984 for work on digital video coding of TV signals. Research Interests: Focus on end-to-end video technologies, including digital video coding , image acquisition/display systems , algorithm development , and ASIC implementation . His work bridges theoretical research and industrial applications in vision technologies and smart data solutions . Leadership Roles: Founded three technology centers: CINIQ Center for Data and Information Intelligence , Innovation Center for Immersive Imaging Technologies (3IT) , and the Tomorrow's immersive Media Experience (TiME) Lab . Active member of the German Society for Information Technology (ITG) and Society for Television and Motion Picture Technology (FKTG) , leading ITG’s “Digital Coding” expert group for over 20 years. Scientific Recognition: Honored with prestigious awards including the ITG Paper Award and the Richard Theile Medal , reflecting his influence in video coding and media technologies.

• Control Engineering
• System Identification
• Bayesian Estimation
• +5 more

Adrian Wills is an Associate Professor in the School of Engineering (Mechatronics) at the University of Newcastle, Australia. He leads the Mechatronics Engineering program and holds academic appointments since July 2015. His research focuses on Bayesian estimation, system identification, and control engineering, with applications in robotics and mechatronics. Wills has collaborated with institutions globally, including Linköping University, Uppsala University, and the University of British Columbia. He earned his B.E. (Elec.) and Ph.D. from the University of Newcastle in 1999 and 2003, respectively. Teaching expertise includes delivering advanced courses in estimation and optimization within the Mechatronics Engineering program. Administrative roles include program convenor for Mechatronics Engineering. Research highlights include contributions to state-space models, nonlinear system identification, and model predictive control. His work bridges theoretical advancements with practical applications in engineering systems and healthcare. Key collaborations involve Professors Lennart Ljung, Thomas Schön, and Bhushan Gopaluni, among others. His technical contributions span MATLAB toolboxes (e.g., UNIT), FPGA/ASIC implementations for control systems, and interdisciplinary projects in strain measurement using neutron diffraction.

• Wireless Communication
• Machine Learning
• Digital Signal Processing
• +6 more

Prof. Christoph Studer is a Full Professor of Integrated Information Processing at ETH Zurich's Department of Information Technology and Electrical Engineering. He leads the Integrated Systems Laboratory and directs SwissChips. His research focuses on wireless communication, machine learning, signal processing, and hardware-efficient algorithms, with applications in B5G systems, sensing-communication integration, and low-power signal processing. He holds a Ph.D. and M.S. from ETH Zurich (2009 and 2006) and has held academic positions at Cornell University before returning to ETH in 2020. Notable honors include the NSF CAREER Award (2017), ETH Medal for Doctoral Dissertation (2011), and multiple teaching awards. Education: M.S. and Ph.D. in Information Technology and Electrical Engineering, ETH Zurich (2006, 2009) Visiting Researcher, Stanford University (2005) Research Interests: Develops algorithms and hardware for high-throughput, low-power wireless systems. Key areas include: B5G multi-antenna systems and simultaneous sensing-communication (SISCO) Analog-to-feature (A2F) conversion for low-power signal classification Hardware-software co-design for efficient microchip integration Publications: Focus on channel charting, jammer mitigation, and deep learning for communication. Recent work includes CSI2Vec, jammer-resilient synchronization, and distributed MIMO systems. Awards: US NSF CAREER Award (2017) Michael Tien Teaching Award (2016) ETH Medal for Doctoral Thesis (2011) Labs/Teams: Leads the Integrated Systems Laboratory at ETH and directs SwissChips, a national initiative for integrated circuit development.

Feng WangView profile

Assistant Professor

• Next Generation Internet
• Network Performance Measurement
• Big Data Verification
• +6 more

Dr. Feng Wang is an Assistant Professor in the School of Engineering at Liberty University, specializing in network reliability, interdomain routing, and software-defined networking. His research addresses challenges in next-generation internet architectures, network performance measurement, and secure IoT device management. Education: B.E. in Electrical and Computer Engineering from Zhejiang University (China) M.S. in Electrical and Computer Engineering from Yanshan University (China) Ph.D. in Electrical and Computer Engineering from the University of Massachusetts, Amherst Research focuses on: - Detecting transient routing failures and improving network performance through real-time diagnostic systems (e.g., collaboration with AT&T). - Designing scalable addressing schemes for IoT and wireless sensor networks. - Developing intrusion detection systems (e.g., MOCA framework) and network anomaly mitigation techniques. His publications (2015-2023) emphasize network security, routing protocol optimization, and scalable internet architectures. Notable work includes BGP rerouting solutions, real-time routing failure diagnosis, and variable-length addressing for 6LoWPAN. No scientific awards were explicitly listed in the provided texts. Collaborations include Agilent, AT&T, and Intel, focusing on practical network reliability and security solutions. Dr. Wang has advised no listed students or managed grants in the provided texts. His research extends to lab implementations of lightweight routers (SoC-based) and stability-aware protocols for RPL networks.

Selçuk KöseView profile

Professor

• Hardware Security
• On-Chip Power Delivery
• Cryogenic Electronics
• +3 more

Selçuk Köse is a Full Professor in the Department of Electrical and Computer Engineering at the University of Rochester. Previously, he held positions at the University of South Florida as an Assistant Professor (2012-2018) and Associate Professor (2018-2019). He earned his B.Sc. from Bilkent University (2006), M.S. and Ph.D. from the University of Rochester (2008 and 2012, respectively). His research focuses on hardware security (side-channel attacks, fault injection, PUFs), on-chip power delivery, cryogenic electronics, graphene nanoribbon transistors, and nature-inspired computing (e.g., Ising machines). He has received prestigious awards including the NSF CAREER Award (2014) and Cisco Research Awards (2015–2017). His recent work emphasizes security in quantum computing interfaces, power delivery networks, and covert channel mitigation. Research funding comes from NSF, DARPA, DoE, and industry partners. He serves as an associate editor for IEEE and Springer journals.

Dustin RichmondView profile

Assistant Professor

• Computer Architecture
• FPGA
• RISC-V
• +4 more

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.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +7 more

Joao Pedro Leal Abalada de Matos Carvalho is a researcher at Lusofona University 's School of Communication, Architecture, Arts and Technologies , focusing on Artificial Intelligence, Machine Learning, and Unmanned Aerial Vehicle systems. He contributes to projects like ANTIDOTE (AI Attack & Defense) and REMARKABLE (Rural Environmental Monitoring). Active in AI-driven environmental monitoring and cyber-physical systems Collaborates with Horizon Europe and Marie Skłodowska-Curie Actions Key research areas: Deep Learning, Federated Learning, High-Energy Physics His work involves LoRaWAN engineering , satellite data processing , and hydroelectric forecasting models , with 55 scientific publications and 382 h-index citations. Current collaborations span Europe and Brazil , with active projects in smart healthcare , AI literacy , and radiation-hardened electronics for CERN experiments.

• Wireless Communications
• Radio Frequency (RF) Engineering
• Signal Processing
• +4 more

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.

• text processing algorithms
• classification of texts
• data processing and analysis
• +3 more

Голуб Тетяна Василівна serves as an Associate Professor in the Department of Computer Systems and Networks at Zaporizhzhia National Technical University's Faculty of Computer Science and Technologies. With over 12 years of academic experience since joining the university in 2011, she specializes in computer electronics, computer circuitry, signal and image processing, and reliability of computer systems. Dr. Golub's research focuses on text processing algorithms, text classification, and data processing with particular emphasis on hardware acceleration using FPGA technologies. Her work bridges theoretical computer science with practical engineering applications, developing efficient methods for natural language processing tasks through specialized hardware implementations. She has pioneered approaches to optimize text classification speed while maintaining accuracy through innovative vector space modeling and stemming algorithms. Her publication record shows a strong trajectory from foundational work on text classification methods (2019) through hardware acceleration techniques (2020-2021) to current research on AI applications in education and neural network-based classification systems (2023-2025). The research demonstrates consistent focus on improving computational efficiency of text processing systems while expanding into educational technology applications. Dr. Golub maintains active scholarly presence with verified profiles on Scopus (ID: 57189328111), Web of Science (Researcher ID: G-9688-2019), Google Scholar, and ORCID (0000-0001-6024-008X), reflecting her commitment to academic transparency and international scholarly communication. She teaches core computer engineering subjects while conducting research that combines theoretical computer science with practical hardware implementation. Her laboratory work in computer electronics provides students with hands-on experience in circuit design and digital systems. Fluent in English, Ukrainian, and Russian, Dr. Golub operates from room 53b at the university's Zaporizhzhia campus (69063, Ukraine, Zhukovsky Street, 64).