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Samuel RussView profile

Associate Professor

• Embedded systems
• Consumer electronics
• Signal integrity
• +1 more

Samuel Russ is an Associate Professor in the Department of Electrical and Computer Engineering at the College of Engineering, University of South Alabama. His research focuses on embedded systems, consumer electronics, signal integrity, and electronics manufacturing systems. He holds a Ph.D. and B.S. in Electrical Engineering from Georgia Institute of Technology. Ph.D. Electrical Engineering, Georgia Institute of Technology, 1991 B.S. Electrical Engineering, Georgia Institute of Technology, 1986 Russ specializes in signal integrity, embedded systems, and consumer electronics. His work addresses practical challenges in electronics manufacturing, smart grid integration, and hardware optimization. Recent publications highlight collaborations in smart grid applications, wear leveling algorithms for solid-state drives, and wireless motion detection systems. His publications demonstrate expertise in signal integrity, embedded systems, and consumer electronics. He has explored solid-state disk optimization, home health monitoring architectures, and immersive simulation algorithms. Collaborations span healthcare, power systems, and digital storage technologies. No scientific awards listed. He teaches courses such as EE 263 Digital Logic Design, EE 368 Microprocessor Lab, EE 457/557 Embedded System Design, and EE 469/569 Signal Integrity.

Borut RobičView profile

Professor

• Computability Theory
• Algorithms
• Parallel Computing
• +5 more

Borut Robič is a Full Professor and Head of the Theoretical Computer Science Chair at the Faculty of Computer and Information Science, University of Ljubljana . He also serves as Head of the Laboratory for Algorithmics and President of the Faculty's Academic Assembly since 2005. His work spans computability theory, algorithms, and parallel computing, with notable contributions to foundational concepts and educational literature. University: University of Ljubljana School: Faculty of Computer and Information Science Roles: Professor, Head of Theoretical Computer Science Chair, Head of Laboratory for Algorithmics, President of Academic Assembly Robič's research interests focus on computability and complexity theory, algorithm design, and parallel computing frameworks. His publications emphasize historical context, formal methods, and modern computational paradigms like hypercomputing. Publication trends reveal a progression from foundational algorithmic theory (1999) to advanced computability research (2020), with a 2018 work bridging parallel programming and practical implementation. Projects include leadership in ARRS research programmes on parallel systems (2020-2026) and past collaborations on graph optimization and big data initiatives. Laboratory affiliations: Head of the Laboratory for Algorithmics and active member of its research team.

Dimitrios SoudrisView profile

Professor

• Computer Engineering
• Embedded Systems
• Reconfigurable Architectures
• +5 more

Dimitrios Soudris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), leading the Microprocessor and Digital Systems Lab (MicroLab). Previously, he served as Lecturer, Assistant, and Associate Professor at Democritus University of Thrace from 1995 to 2008. Diploma in Electrical Engineering (1987), University of Patras PhD in Electrical Engineering (1992), University of Patras His research focuses on Embedded Systems , Reconfigurable Architectures (FPGAs) , Hardware Accelerators for data centers/space/cloud, Edge Computing , and Low Power VLSI Design . Recent publications highlight trends in: AI/ML acceleration for edge and space applications Secure FPGA architectures for 6G networks Energy-efficient heterogeneous memory systems Approximate computing techniques Transformer optimization for low-power contexts Scientific Awards: INTEL and IBM awards (project LPGD #25256) HiPEAC, DAC, and ISCA awards (2010–2024) XILINX Open Hardware Design Contest (2017, 2019, 2021) He has coordinated >70 R&D projects funded by the European Commission, ENIAC-JU, ESA, and industry partners. As Associate Editor of ACM TODAES and conference chair (PATMOS, VLSI-SOC), he contributes to academic leadership. His lab, MicroLab, specializes in hardware-software co-design for emerging computing paradigms.

• Software Engineering
• Computer Engineering
• Formal Methods
• +4 more

Kamkin Alexander Sergeevich is an Associate Professor at the National Research University Higher School of Economics (HSE) and the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). Affiliated with the Faculty of Computer Science and the Moscow Institute of Electronics and Mathematics, he specializes in software and computer engineering with a focus on formal methods for program and microprocessor verification. Education: Candidate of Physical and Mathematical Sciences (2009), Moscow State University (2003) in Applied Mathematics and Computer Science Research Areas: Formal methods, program verification, microprocessor verification, model-based testing, static analysis His recent publications highlight the application of formal specifications in test program generation for architectures like RISC-V and ARMv8, emphasizing simulation modeling and ISA specification maintenance. Key trends include the integration of constraint-based testing, formal modeling, and automated verification tools. Kamkin supervises students in software engineering and collaborates with colleagues such as Tatarnikov A.D., Protsenko A.S., and Chupilko M.M. At HSE, he has taught courses including Software Verification (Master's, 09.04.04 Software Engineering) and High-Level and Simulation Modeling of Digital Systems (Bachelor's, 09.03.01 Computer Science and Engineering). His work is associated with the MicroTESK framework, which automates test generation for microprocessors.

Luca FanucciView profile

Professor

• Integrated Circuit Design
• Embedded Systems
• System-Level Design
• +7 more

Professor Luca Fanucci is a Full Professor of Electronics at the Department of Information Engineering , University of Pisa. He serves as Rector's Delegate for Inclusion of Students with Disabilities and leads research in integrated circuits, embedded systems, and assistive technologies . Institutional roles include membership in the National University Conference of Delegates for Disability (CNUDD) and leadership in the PhD program in Information Engineering. Born: Montecatini Terme (1965) Education: Laurea in Electronic Engineering (1992), PhD in Information Engineering (1996), University of Pisa Professional Journey: ESA research (1992-1996), CNR researcher (1996-2004), University of Pisa faculty (2004-present) His research focuses on: System-level design of integrated circuits and embedded systems Hardware-software co-design for low power consumption Spacecraft and satellite communication systems Medical devices and telemonitoring platforms Assistive technologies for disabilities Recent publications highlight AI in space applications and telemedicine systems . Key projects include the Ingeniars spin-off for satellite communications and the AsTech National Laboratory for assistive technologies. Scientific Recognition : IEEE Fellow (2019) 40+ patents H-index 34 (5000+ citations) He coordinates international conferences (DATE, HiPEAC, Spacewire) and serves as Associate Editor for Technology and Disability and Microprocessors and Microsystems journals.

Naveen VermaView profile

Associate Professor

• Advanced Sensing Systems
• Machine Learning
• Statistical Signal Processing
• +3 more

Naveen Verma is an Associate Professor at Princeton University's Department of Electrical Engineering, specializing in advanced sensing systems. His research bridges algorithm development with novel sensing and computing technologies. Education: B.A.Sc. from UBC (2003), M.S./Ph.D. from MIT (2005/2009) Key Focus: Large-area flexible sensors, energy-efficient architectures, machine-learning algorithms His work explores how systems for learning and inference can be enhanced through new hardware paradigms, particularly in thin-film electronics and analog computing. Recent publications highlight applications in imaging systems, biomedical sensors, and error-resilient machine learning. His research outputs include: Embedded thin-film classifiers for image sensing Compressive-sensing circuits using flexible electronics Error-adaptive boosting algorithms for hardware resilience Energy-scalable processor designs Scientific awards received: NSF CAREER Award (2013) AFOSR Young Investigator Award (2014) IEEE Best Paper Awards Teaching excellence awards Industry recognition from Intel and IEEE societies

• Computer Architecture
• VLSI Design
• Hardware Testing and Verification
• +3 more

Subhasish Mitra is a Professor in the Department of Electrical Engineering and by courtesy in Computer Science at Stanford University’s School of Engineering. His pioneering work focuses on creating robust, error-tolerant hardware systems through the Resilient Silicon paradigm, addressing critical challenges in modern microprocessors and memory design. Education Ph.D. in Electrical Engineering, Stanford University, 1999 B.Tech. in Electrical Engineering, Indian Institute of Technology Kharagpur, 1994 His research spans Computer Architecture , VLSI Design , and Hardware Security , with breakthroughs in defect-tolerant circuits and aging-induced error mitigation. Mitra’s work bridges theoretical innovation and industrial adoption, notably in Intel’s high-volume manufacturing processes. Key recognitions include: IEEE Fellow (2015) for “contributions to design and test of robust microprocessors” ACM Fellow (2015) for foundational reliability frameworks Phil Kaufman Award (2020), EDA’s highest honor He leads Stanford’s Robust Systems Group with sustained funding from NSF, DARPA, and semiconductor industry partners, driving next-generation secure hardware for AI accelerators and IoT devices.

• 3D bioprinting
• Artificial intelligence
• Bioinformatics
• +7 more

Stefano Di Carlo is a Full Professor at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He is the Coordinator of the Doctoral School in Artificial Intelligence and a member of the PolitoBIOMed Lab and the Doctoral School Council. His research spans Artificial Intelligence , Computer Architecture , Bioinformatics , and Cybersecurity , with a focus on 3D bioprinting , hardware security , and reliability analysis . Research Interests : Approximate computing systems Cybersecurity for connected vehicles Spiking neural networks and neuromorphic hardware Multicellular synthetic biological systems Hardware-based malware detection Biomedical simulation tools Article Trends : His recent publications address approximate computing (7/15), cybersecurity (6/15), and bioinformatics (4/15). Key subtopics include RISC-V security , gradient inversion attacks , photonic computing , and real-time fault injection . Scientific Awards : Best Paper Awards at IEEE AQTR (2010, 2012), IEEE DDECS (2013), and BIOINFORMATICS/BIOSTEC (2014) IEEE Computer Society Golden Core Award (2006), Meritorious Service Award (2010) IEEE Fellow (2011-) and Senior Member Advising & Grants : He supervises 14 PhD students and leads projects like Vitamin-V (RISC-V cloud services), APROPOS (approximate computing), and SERICS (cybersecurity). His lab, SMILIES, focuses on resilient computer architectures and bioinformatics . Labs & Teams : Lab 6 - Research Laboratory (DAUIN) SMILIES - Resilient computer architectures and life sciences PolitoBIOMed Lab - Biomedical engineering

Ben MessickView profile

Visiting Assistant Professor

• Computer Architecture
• Operating Systems

Ben Messick is a Visiting Assistant Professor of Computer Science in the Computer Science & Engineering Department at Taylor University. He holds an MS in Computer Science from Clemson University and a BS in Computer Science from Indiana Institute of Technology. His professional journey includes pioneering as Navistar's first webmaster and a 20-year tenure as a Police Officer in the Fort Wayne Police Department, where he contributed to community safety and bike patrol initiatives. Research Focus Professor Messick specializes in computer architecture and operating systems . His research explores hardware-software interactions, performance optimization in computing systems, and algorithmic solutions for complex computational problems. Publications Overview His scholarly work addresses two domains: (1) Computer Architecture , analyzing commercial workload impacts on hardware components like caches and TLBs; and (2) Computational Intelligence , employing parallel genetic algorithms to solve graph-theoretic challenges. Publications consistently emphasize practical applications in real-world systems. Awards & Honors Alpha Lambda Epsilon Honor Society IIT College of Engineering Outstanding Graduate (2005) Outstanding Contribution to the Community Justice Award (2008) Letter of Commendation for Life Saving Actions

Jan RichlingView profile

Professor

• Microprocessor systems
• Embedded systems
• Real-time systems
• +3 more

Prof. Dr.-Ing. habil. Jan Richling serves as a Professor in the Department of Electrical Engineering and Information Technology at South Westphalia University of Applied Sciences in Hagen, Germany. Based in Room H.318 at Haldener Straße 182 (58095 Hagen), he maintains active academic engagement with consultation hours by appointment and can be contacted via phone (+49 2331 9330-6219) or email (richling.jan@fh-swf.de). His research expertise spans critical domains in computer engineering, with particular focus on: Microprocessor architecture and design Embedded system optimization Real-time operating environments Network protocol implementation Energy-efficient computing solutions Fail-safe system reliability These interconnected fields address modern challenges in efficient, robust computing infrastructure. Prof. Richling's teaching portfolio includes foundational and advanced courses such as Microcontroller Systems, Computer Organization, Operating Systems, IP Networks Programming, and Fail-safe Systems (a compulsory elective), directly reflecting his research specializations. No information regarding scientific awards, graduate student supervision, research grants, or laboratory facilities was provided in the source material.

Paulo Jorge CoelhoView profile

Adjunct Professor

• Industrial Automation
• Computer Vision
• Machine Learning
• +4 more

Paulo Jorge Coelho serves as an Adjunct Professor in the Electrical Engineering Department at the School of Technology and Management, Polytechnic University of Leiria, and as an integrated researcher with the ROBiTECH (Advanced Robotics and Smart Factories) group at INESC Coimbra's Leiria delegation. With over 20 years of academic experience since 2004, he specializes in Microprocessors, Industrial Automation, and Computer Vision instruction. Education: Ph.D. in Informatics (2019), Trás-Os-Montes and Alto Douro University Specialization in Automation and Control (2007), Coimbra University Bachelor of Electrical Engineering (2004), Coimbra University Research Focus: His work bridges industrial automation and computer vision with cutting-edge machine learning applications in biomedical imaging, ambient assisted living, and assistive technologies. Current projects emphasize practical implementations for reducing physical impairments and enhancing healthcare solutions through deep learning frameworks. Publication Trends: Recent work (2024-2025) reveals strong interdisciplinary convergence between healthcare diagnostics (schizophrenia/EEG analysis, perinatal depression prediction) and industrial/computer vision systems (sports analytics, activity recognition). His research consistently leverages sensor fusion and deep learning architectures to solve real-world problems across medical and engineering domains. Professional Engagement: Active member of the Portuguese Engineers Order and Portuguese Association for Pattern Recognition, with significant editorial contributions (89+ edited articles) across AI and computer vision domains. Previously served as course director and Scientific-Pedagogical Committee member for the Master's in Electrical and Electronic Engineering. Research Infrastructure: Operates within ROBiTECH's advanced robotics ecosystem at INESC Coimbra, focusing on smart factory solutions and human-robot interaction systems. His lab environment integrates industrial automation testbeds with biomedical sensor networks for cross-domain innovation.

Krista HillView profile

Associate Professor

• Embedded Microprocessor Applications
• Field Programmable Gate Array
• Reconfigurable Hardware Applications
• +1 more

Krista Hill is an Associate Professor in the Electrical and Computer Engineering department at the University of Hartford's College of Engineering, Technology, and Architecture. Her research focuses on embedded microprocessor applications, field-programmable gate arrays, and reconfigurable hardware applications, particularly in the context of biomedical engineering applications.

Nader RaflaView profile

Associate Professor

• Embedded Systems
• Hardware Design
• Digital Image Processing
• +4 more

Nader Rafla is an Associate Professor in the Department of Electrical and Computer Engineering at Boise State University, where he has served since January 1997 after previously holding an Associate Professor position in Manufacturing Engineering at Central State University from 1991 to 1996. His academic credentials include: Ph.D. in Electrical Engineering from Case Western Reserve University (1991) MSEE from Case Western Reserve University (1984) Dr. Rafla's research centers on embedded systems design with emphasis on systems-on-programmable-chip and microprocessor-based architectures. He develops hardware implementations for digital image and signal processing algorithms applied to object recognition, industrial inspection, automation, and control systems. His industrial consulting with Micron Technology and Hewlett Packard demonstrates real-world application of these techniques. He maintains professional distinction as a Senior Member of IEEE and multiple IEEE societies. At Boise State, Dr. Rafla has supervised numerous Master's theses and senior design projects while leading the development of the MS in Computer Engineering program.