جست‌وجوی استاد و پژوهشگر

• Computer Science Education
• Programming Education
• Computer Architecture
• +۴ مورد دیگر

Sohum Sohoni is a Professor in the School of Computing and Augmented Intelligence within the Ira A. Fulton Schools of Engineering at Arizona State University. His research spans computer science education, programming pedagogy, computer architecture, and image quality assessment with GPU acceleration. He has developed innovative educational approaches for computer architecture courses using the PLP instruction set architecture and has contributed significantly to understanding programming education through analysis of error messages and embedded questions. His research interests focus on Computer Science Education , particularly programming education techniques, computer architecture pedagogy, and engineering education methods. He has made substantial contributions to understanding how students learn programming concepts, develop effective debugging skills, and comprehend computer architecture principles. His work bridges theoretical computer science concepts with practical educational applications, emphasizing hands-on learning experiences and innovative assessment methods. His publication trends reveal a strong focus on computer science education research with particular emphasis on programming education (2015-2018), computer architecture education using PLP (2014-2017), and image quality assessment with GPU acceleration (2012-2018). His work consistently combines theoretical computer science concepts with practical educational applications, demonstrating his commitment to improving how computing concepts are taught and learned. His advising work includes mentoring students like Christopher Mar, Harsha B. M. Kadekar, Shaowen Lu, Thien D. Phan, and Vignesh Kannan, who have co-authored publications with him across various computing education topics. His research has been supported through various educational technology projects focused on online learning environments, software engineering education, and computer architecture instruction. He has been actively involved in developing virtualized learning environments for IoT education, creating innovative approaches for software engineering education, and designing effective methods for teaching computer architecture concepts. His work demonstrates a consistent commitment to improving computing education through evidence-based pedagogical approaches and technological innovation.

Jeremy Hollemanمشاهده پروفایل

دانشیار

• Low-power Circuits
• Analog/Mixed-Signal Design
• Neuromorphic Computing
• +۳ مورد دیگر

Dr. Jeremy Holleman is an Associate Professor and Program Coordinator of Electrical Engineering at the University of North Carolina at Charlotte. He directs the assessment efforts within the Electrical and Computer Engineering department. His research focuses on low-power analog/mixed-signal circuits, biomedical interface design, neuromorphic computation, and machine learning hardware for resource-constrained systems. He holds a Ph.D. (2009) and M.S. (2006) from the University of Washington and a B.S. (1997) from Georgia Institute of Technology. Dr. Holleman's work emphasizes energy-efficient computing architectures and hardware implementations of machine learning, including contributions to MLPerf Power benchmarks and TinyML standards. His academic background includes over 20 years of experience in analog circuit design, neuromorphic systems, and biomedical signal processing. Notable projects include a 1 Tera-OPS/Watt analog deep learning engine and ultra-low-power neural amplifiers for bio-potential recording. He has published extensively across IEEE journals and conferences, with over 50 peer-reviewed articles. His research has been applied in medical implants, wireless neural interfaces, and energy-harvesting systems. Current initiatives include advancing analog deep learning architectures and sustainable AI hardware optimization. Dr. Holleman’s lab collaborates on hardware-software co-design for embedded machine learning and neuromorphic systems.

• Computer Security
• Cryptography
• Authentication Systems
• +۴ مورد دیگر

Paul C. van Oorschot is a **Professor** at **Carleton University**, specializing in **Computer Security and Cryptography**. His research focuses on authentication systems, network security, privacy, and cybersecurity education. He has authored influential works on TLS interception mechanisms, password authentication schemes, and IoT security best practices. His contributions include cryptographic protocols like Owl PAKE, analyses of authentication systems (e.g., OAuth, SSO), and critiques of cybersecurity education curricula. Key areas of research include: **Privacy in Authentication Systems** (e.g., web SSO privacy differences) **Memory Safety** (e.g., vulnerabilities in C programming) **TLS/SSL Security** (interception mechanisms, protocol analysis) **IoT Security** (critical analysis of best practices) **Cryptographic Protocols** (PAKE, DNSSEC improvements) Publications span top venues like IEEE Security & Privacy, ACM Transactions, and **over 200 peer-reviewed articles** since 1988. He is an active contributor to security education and standardization efforts, emphasizing practical applications and interdisciplinary approaches.

• High-Performance Computing
• LiDAR Technology
• Computer Vision
• +۵ مورد دیگر

David López Vilariño is a Lecturer at the University of Santiago de Compostela, affiliated with the Department of Electronics. His research focuses on LiDAR data processing, FPGA acceleration for high-performance computing (HPC), and embedded systems. He teaches courses such as Fundaments of Electronic Instrumentation , Heterogenous Programming , and The Physics of Computing , contributing to bachelor’s and master’s programs in Physics, Informatics Engineering, and High Performance Computing. His research interests span LiDAR-based applications in urban planning, infrastructure monitoring, and medical imaging. He has developed algorithms for LiDAR data analysis, FPGA-based motion estimation, and GPU-accelerated medical image processing. Notable contributions include tools like the Open Lidar Visualizer and Analyser for 3D point cloud visualization. Dr. Vilariño’s work bridges computer architecture, signal processing, and geomatics. His recent publications emphasize optimizing HPC workloads using FPGAs and Intel OneAPI, as well as automated LiDAR-based detection of power lines, road points, and pedestrian zones. He collaborates on interdisciplinary projects involving parallel computing, embedded vision systems, and real-time surveillance applications. Teaching responsibilities include coordinating courses for the Máster Universitario en Computación de Altas Prestaciones, a joint program with the University of A Coruña. No academic awards are listed, but his active role in teaching and research grants underscores his contributions to the field.

• Digital Circuit Design
• Embedded Systems
• Microelectronics
• +۳ مورد دیگر

Manuel Jesús Bellido Díaz is a Full Professor at the University of Seville's Department of Electronic Technology. His research focuses on digital circuit design, embedded systems, microelectronics, and FPGA implementations. He leads the 'Investigación y Desarrollo Digital' (Digital Research and Development) group and has been involved in numerous projects, including the SEPIC project on embedded systems for critical infrastructure and the USECHIP microelectronics chair. He has advised doctoral students such as Germán Cano (2022), David Guerrero (2012), and Alejandro Millán (2008). Education: Doctorate in Electronic Engineering (University of Seville). His research interests span power optimization, timing models, and hardware/software co-design. Recent projects include secure IoT boot mechanisms (IRIS), FPGA-based time synchronization cores, and energy-efficient CMOS gate implementations. He has authored over 100 publications, including books and journal articles on topics like trigonometric computation algorithms and embedded file systems. Grants and projects include funding from TSI-020100-2008, SOL2024-31823, and OTRI/08-FCIE13. His work also involves patents for trigonometric function calculators and FPGA-oriented file systems. Labs/Teams: Active in the Digital Technology Research Group, collaborating on hardware-oriented solutions for IoT and embedded systems.

• Microelectronics
• Embedded Systems
• IoT (Internet of Things)
• +۴ مورد دیگر

Enrique Ostúa Arangüena is an Associate Professor in the Department of Electronic Technology at the University of Seville. He is part of the Digital Research and Development group and has been involved in numerous research projects focused on microelectronics, embedded systems, and FPGA-based solutions. His work includes contributions to IoT security, real-time systems, and hardware-oriented file systems. He has led or participated in projects such as USECHIP (Microelectronics Chair), Advanced Initiation Systems for IoT, and Hardware Vorbis CODEC development. His research spans digital circuit design, low-power electronics, and FPGA implementation, with emphasis on applications like time synchronization (SNTP), cryptographic hardware (E-LUKS), and embedded system optimization. He has authored chapters in books such as Grid Computing and Program of Teaching Teams for the Training of Novice Teachers , and has presented at conferences like the IBERCHIP Workshop and IEEE Symposium on Industrial Embedded Systems. Key contributions include patents on trigonometric function calculators and hardware security modules. He has collaborated extensively with researchers like David Guerrero Martos and Julián Viejo Cortés, focusing on methodologies for teaching digital electronics and FPGA-based SOC design. His work emphasizes open-source technologies, hardware-software co-design, and practical applications in industrial control systems.

Atieh Taheriمشاهده پروفایل

پژوهشگر

• Accessibility and Assistive Technology
• Human-Computer Interaction
• User-Centered Design
• +۳ مورد دیگر

Atieh Taheri is a Presidential Postdoctoral Fellow at Carnegie Mellon University's Human-Computer Interaction Institute (HCII), working with Professors Jeffrey Bigham and Patrick Carrington. She holds a PhD in Electrical and Computer Engineering from UC Santa Barbara, advised by Misha Sra. Her research focuses on accessibility and assistive technologies, particularly in immersive environments like AR/VR, emphasizing participatory design involving disabled users. She has pioneered solutions such as hands-free gaming controllers and tactile feedback systems for individuals with motor impairments. Education: PhD in Electrical & Computer Engineering, UC Santa Barbara (2024) MSc in Electrical & Computer Engineering, UC Santa Barbara (2019) BSc in Computer Engineering, Sharif University of Technology (2011) Research Interests: Accessibility, inclusive design, assistive technologies, AR/VR/XR, user-centered approaches, and human-computer interaction. Her work bridges assistive technology with cutting-edge interfaces, prioritizing holistic experiences that address both functional and sensory needs. Key Contributions: Developed facial expression-based gaming controllers, tactile feedback devices (e.g., MouseClicker), and accessible conversational AI (Virtual Buddy). Her research has been recognized through awards like the UIST 2023 People's Choice Award and CHI 2021 Student Game Competition victory. Professional Experience: Student Researcher at Google (2022-2023) Associate roles at Apple (2016-2017) Software Engineer Intern at Magic Leap (2015) Service & Advocacy: Organized workshops like EC3V (CVPR 2023), served on committees for NeurIPS WiML (2019), and contributed to fundraising for Spinal Muscular Atrophy (SMA) research. She actively promotes accessibility in technology through interdisciplinary collaboration.

Dan Centeaمشاهده پروفایل

استاد

• Automotive Engineering
• Electric and Hybrid Vehicles
• Industry 4.0 Technologies
• +۳ مورد دیگر

Dr. Dan Centea is a Professor at the W Booth School of Engineering Practice and Technology, McMaster University. He holds an associate membership in Mechanical Engineering. His expertise lies in automotive and vehicle engineering technology, with a focus on electric/hybrid vehicles, Industry 4.0 integration, and experiential learning frameworks. He teaches courses such as AUTOTECH 4AE3 (Internal Combustion Engines), AUTOTECH 4AT3 (Electric/Hybrid Vehicle Design), and MECH ENG 760 (Electric Drive Vehicles). Dr. Centea leads initiatives in the SEPT Learning Factory, integrating IoT, IIoT, and cyber-physical systems for Industry 4.0 education. His research emphasizes tracking/traceability technologies, automated indoor gardens, and autonomous vehicle education frameworks. He has developed innovative teaching strategies including problem-based learning (PBL) for finite element analysis and collaborative industry projects. His work spans over 25 years, with notable contributions to curriculum design for Industry 4.0 and smart systems. He actively collaborates with SMEs to implement Industry 4.0 technologies in manufacturing environments. His educational innovations include blended learning approaches and distance lab infrastructure using IoT boards.

PAOLO CRIPPAمشاهده پروفایل

دانشیار

• Biomedical Signal Processing
• Embedded Systems
• Neural Networks
• +۵ مورد دیگر

Prof. Paolo Crippa is an Associate Professor at the Department of Information Engineering (DII) of the University of Ancona (Università Politecnica delle Marche), Italy. His research focuses on biomedical signal processing, embedded systems, and wearable technology for healthcare applications. He specializes in neural networks, sensor design, and nanoelectronics, with notable contributions to graphene-based biosensors and real-time gesture recognition systems. His work bridges electronics, machine learning, and healthcare, addressing challenges in disease diagnosis, activity monitoring, and assistive living technologies. Prof. Crippa’s publications emphasize the development of low-power, high-accuracy systems for applications such as EEG-based disease classification, wearable sensors for activity recognition, and SARS-CoV-2 detection using advanced materials. His recent work includes optimizing LSTM neural networks for embedded platforms and integrating multimodal sensors (PPG, IMU, sEMG) for health monitoring. His research trends reveal a strong emphasis on applying machine learning to biomedical signals, improving sensor synchronization, and leveraging nanotechnology for diagnostic tools. He also explores open-source hardware/software co-design frameworks for system-on-chip (SoC) development. Prof. Crippa’s contributions extend to international collaborations and interdisciplinary projects, reflecting his role in advancing both theoretical and applied aspects of information engineering.

• Assistive Technologies
• Biomedical Engineering
• Computational Intelligence
• +۵ مورد دیگر

Dr Jon Cobb is a Professor in Electronics at Bournemouth University's Department of Electronics. His career spans over three decades, combining expertise in microelectronics, biomedical engineering, and assistive technologies. He holds Chartered Engineer status and has collaborated with hospitals, audio companies (e.g., Naim Audio), and sports science departments on interdisciplinary projects. Education includes a PhD in Biomedical Engineering (BU, 2000), MSc in Microelectronics (University of Southampton, 1991), and a BTEC Higher National Diploma in Electronic Engineering (1990). He also completed a MRES in Music Technology (University of York, 2012). Research focuses on assistive technologies for neurological disorders (e.g., stroke rehabilitation via FES systems), sports performance analysis using accelerometers, and low-noise power supplies for high-fidelity audio. Current projects include collaborations with Salisbury District Hospital (stroke rehabilitation), BU Sports Science (swimmer performance), and Naim Audio (audio power solutions). Publications emphasize biomedical engineering applications, such as FES devices, wireless sensor networks, and thermal imaging for diabetic foot assessment. Supervised four doctoral students, including work on FES systems and swimming biomechanics. Grants include EPSRC funding for blood flow sensor development and industry partnerships (e.g., Odstock Medical Limited). His work balances clinical impact, engineering innovation, and cross-disciplinary collaboration.

Graham Finlaysonمشاهده پروفایل

استاد

• Color Science
• Computer Vision
• Image Processing
• +۳ مورد دیگر

Graham Finlayson is a Professor of Computing Science at the University of East Anglia (UEA), leading the Vision Group within the School of Computing Sciences. He is a member of the Colour and Imaging Lab, renowned for pioneering research in color science and imaging. Finlayson holds a unique distinction as the youngest professorial appointment in UEA's history, awarded at age 30 in 1999. His academic journey includes a BSc from the University of Strathclyde, followed by MSc and PhD degrees from Simon Fraser University, where he received the prestigious 'Dean’s Medal' for his doctoral work. Finlayson's research spans computer science, engineering, and psychophysics, with a focus on color imaging, computational geometry, and embedded systems. His work has resulted in over 200 conference papers, 50+ journal articles, and 25+ patents, many integrated into commercial products like photo software, ASICs, and camera systems. Notable collaborations include partnerships with Apple, Sony, and Unilever. Recognition includes the Philip Leverhulme Prize (2002), Royal Society-Wolfson Merit Award (2008), and Royal Photographic Society’s Davies Medal (2009). He is a Fellow of the Royal Photographic Society, Society for Imaging Science and Technology, and the Institute of Engineering Technology. His achievements also extend to entrepreneurship: founding Imsense Ltd, a spin-out company sold to a major industry player in 2010, marking UEA’s first venture capital-backed exit. Recent research focuses on spectral reconstruction, underwater imaging enhancement, and computational color constancy. Key projects include collaborations with Cefas on remote sensing applications and EPSRC initiatives in agricultural robotics. Finlayson’s work bridges academic rigor with industrial impact, driving innovation in imaging technologies.

Ann Eisenbergمشاهده پروفایل

استادیار مدعو

• Educational Computing
• Tangible Interaction
• E-textiles
• +۳ مورد دیگر

Ann Eisenberg is an Adjunct Assistant Professor at the University of Colorado Boulder and Senior Research Associate at the Institute of Cognitive Science. She directs the Craft Technology Lab, focusing on blending computation with craft materials to create educational tools. Her research emphasizes tangible interaction, e-textiles, and maker education. Education: PhD in Computer Science (CU Boulder), BS in Mathematics (University of Hawai'i). She co-teaches 'Things that Think' with Mike Eisenberg, integrating computation with physical objects. She also teaches creative engineering in K-12 schools and workshops at museums like the Denver Art Museum. Her lab's projects include Arduino-controlled art, e-textile prototyping systems like ThreadBoard, and sensory-based interactive simulations. These emphasize playful design for educational impact across ages. Publications focus on tangible computing interfaces, e-textile debugging tools, and maker education frameworks, appearing in TEI conferences and FabLearn. Lab: Craft Technology Lab explores intersections of art, engineering, and education through hands-on projects.

Kevin Cookمشاهده پروفایل

مدرس

• User Experience (UX) Design
• Human-Computer Interaction
• Software as a Service (SaaS)
• +۳ مورد دیگر

Kevin Cook is a Lecturer at the University of Colorado Boulder, affiliated with the College of Engineering. He has over a decade of experience in user experience (UX) design, spanning industries such as videogames, e-commerce, SaaS, and mobile device hardware. Alongside his academic role, he works full-time as a UX designer in Amazon’s consumer electronics technology division in Denver. His research interests focus on advancing UX design principles across diverse technological domains, emphasizing practical applications in software, hardware, and digital platforms. While no specific articles or grants are listed, his professional background reflects a commitment to bridging academic teaching with industry innovation. Kevin’s career began at Lego as a user interface artist and designer, further solidifying his expertise in interactive design. His dual role at CU Boulder and Amazon underscores a unique blend of academic and industry perspectives in the field of UX.

Nick Bottenusمشاهده پروفایل

استادیار

• Biomedical Ultrasound
• Medical Imaging Technology
• Diagnostic Imaging Quality
• +۳ مورد دیگر

Nick Bottenus is an Assistant Professor in the Department of Biomedical Engineering at the University of Colorado. His research focuses on improving diagnostic ultrasound imaging through system-level solutions, addressing challenges like acoustic clutter and patient variability. His work integrates transducer design, signal processing, and image interpretation to enhance clinical utility. His research interests include biomedical ultrasound, medical image quality optimization, and ultrasound system design. Key projects involve swept synthetic aperture imaging, transmit encoding optimization, and multi-pulse transmission techniques. His lab emphasizes pushing the boundaries of image quality in challenging clinical environments. Notable achievements include the 2017 Duke BME Award for Outstanding Dissertation and multiple SPIE awards. His work has societal impact through advancing reliable medical imaging technologies for clinical decision-making and AI integration. Lab locations include ECME 277 (office) and ECNW 1B50 (lab). Research collaborations span acoustics, optics, and biomedical fields. Current opportunities for students and postdocs are available in Biomedical and Mechanical Engineering programs.

• Automation
• Robotics
• Control Systems
• +۳ مورد دیگر

Darko Todorovic is an Assistant Professor at the Department of Automation, Faculty of Electronics, University of Niš. His academic career began with his appointment in 2014. He holds a doctoral degree and has conducted research in automation, robotics, control systems, and mechatronics. His work focuses on topics such as mobile robot localization, sensor calibration, and algorithm design for mechatronic systems. Research interests include robotics, control systems, and embedded systems applications. Notable projects involve developing methods for mobile robot navigation, sensor error correction, and human-machine interface prototyping. His contributions to collaborative software development and UML modeling in PLC systems highlight his interdisciplinary approach. He has participated in 1 national and 2 international projects, demonstrating engagement in both academic and applied research. His publications span conferences like ETRAN and INFOTEH®-JAHORINA, with a focus on practical engineering solutions and simulation techniques. Currently affiliated with the Faculty’s automation department, Todorovic contributes to teaching and research activities without explicitly listed awards or grants. His work bridges theoretical control systems with real-world applications in robotics and medical devices.