جست‌وجوی استاد و پژوهشگر

Yan Luمشاهده پروفایل

استادیار

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Yan Lu is an Assistant Professor of Computer Science at Christopher Newport University (CNU), part of the School of Engineering and Computing. She joined CNU in Fall 2023 and holds a Ph.D. in Computational Modeling and Simulation from Old Dominion University (2020), an M.Sc. in Computer Science from Virginia Commonwealth University (2009), an M.Sc. in Circuit and System from the Chinese Academy of Sciences (2007), and a B.A. in Computer Science from Beijing Jiaotong University (2004). Her research focuses on Deep Learning and Machine Learning applications in Remote Sensing Image Processing, Trustworthy AI, and AI robustness. Notable projects include refugee tent extraction using satellite imagery (featured in IEEE Spectrum ) and malware classification via deep residual networks. She has held roles as Research Assistant Professor at Old Dominion University’s VMASC and Research Scientist at Virginia Commonwealth Cyber Initiative (VCCI). Dr. Lu’s work has been recognized with awards such as the 2019 Gene Newman Award and the Air Force Research Lab’s VFRP award (2020–present). Her teaching spans Machine Learning, Data Science, and Image Processing. She actively contributes to IEEE and ACM’s SIGSIM.

Zahra Derakhshandehمشاهده پروفایل

دانشیار

• Distributed Computing
• Algorithm Design and Optimization
• Bio-inspired Algorithms
• +۵ مورد دیگر

Zahra Derakhshandeh is an Associate Professor in the Department of Computer Science at California State University East Bay. She holds a Ph.D. in Computer Science from Arizona State University (2017), where she worked under Professors Andrea W. Richa and Christian Scheideler. Her research focuses on distributed computing, algorithm design, bio-inspired algorithms, programmable matter, and self-organizing particle systems. Notably, her work on 'Smart Paint' for universal coating problems has received media attention from MIT Tech Review and ACM TechNews. Dr. Derakhshandeh has extensive teaching experience, including instructing courses like Foundations of Algorithms (CSE 551) at Arizona State University and serving as a faculty member at multiple institutions in Iran. Her industrial experience includes roles as a software developer at eBay/PayPal and research positions in network security and data center projects. Her research trends span theoretical computing (programmable matter, self-organization) and educational technology (online learning dynamics, active learning strategies). Recent publications explore federated learning, student engagement in online environments, and interaction design in digital education systems. Dr. Derakhshandeh’s work emphasizes cross-disciplinary applications, bridging computer science theory with real-world systems like financial eligibility services and telecommunication infrastructure.

Jonathan Cookمشاهده پروفایل

استاد

• Software Process
• Reliable Component-Based Systems
• Software Engineering Environments
• +۵ مورد دیگر

Jonathan Cook is a Professor in the Department of Computer Science at New Mexico State University (NMSU). He specializes in software process improvement, reliable component-based systems, and high-performance computing (HPC) performance analysis. His work includes developing tools and methodologies for monitoring HPC applications, optimizing memory systems, and validating proxy applications against real-world software. Education: Cook holds a Ph.D. in Computer Science from the University of Colorado at Boulder (1996), an M.S. in Computer Engineering from Case Western Reserve University (1991), and a B.S. in Computer Engineering from the same institution (1988). Research Interests: His expertise spans HPC performance analysis, runtime monitoring systems, compiler optimization, and software engineering environments. He focuses on improving the reliability and efficiency of large software systems through empirical methods and tool development. Recent Work Trends: His articles emphasize HPC monitoring (e.g., heartbeat data analysis, proxy application validation), novel memory architectures (scratchpad memory, 3D PIM NoCs), and compiler-driven performance optimization. His work bridges theoretical models with practical deployment in production environments. Grants and Advising: While specific grants or student advisees are not listed, his research actively involves experimental validation through collaborative projects with institutions like the Exascale Computing Project (ECP). Labs/Teams: His contributions align with NMSU’s broader efforts in HPC and software engineering, though no specific lab names are mentioned in the provided text.

Craig Claybaughمشاهده پروفایل

دانشیار

• Enterprise Software
• Enterprise Software Upgrades
• Information Technology Vendor-Client Relationships
• +۵ مورد دیگر

Craig Claybaugh is an Associate Professor in the Department of Information Systems, Analytics & Supply Chain at Florida Gulf Coast University (FGCU). He holds a Ph.D. in Management Science from the University of Wisconsin-Milwaukee (2010), an M.S. in Management Information Systems from University of Wisconsin-Oshkosh (2002), an MBA (2001), and a B.S. in Sociology from University of Wisconsin-Madison (1998). His research focuses on enterprise software, vendor-client relationships, online trust, social networking, and data breaches. He previously worked for 5 years in IT at Kohler Company. Claybaugh’s research interests include enterprise software upgrades, IT vendor-client dynamics, online trust mechanisms, social media abuse, and data visualization judgments. He serves as an Associate Editor for the Journal of Computer Information Systems . His work spans empirical studies in enterprise systems, cybersecurity risks, and professional social networks. Notable research areas include CRM provider assessments, ERP vendor satisfaction, and the gamification of enterprise systems. Awards: No specific awards listed. Grants/Advising: No grants or student advisees listed in the profile. Labs/Teams: No specific lab affiliations mentioned. His recent publications (2019–2023) highlight themes in enterprise software performance, IT project success, and digital trust dynamics. His work bridges academic research with practical IT management challenges in firms.

• Embedded Systems
• IoT Security
• Digital System Design
• +۳ مورد دیگر

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.

• Microelectronics
• Embedded Systems
• IoT Security
• +۵ مورد دیگر

David Guerrero Martos is an Associate Professor in the Department of Electronic Technology at the University of Seville. His primary research focuses on microelectronics, embedded systems, and hardware security solutions. He leads the 'Digital Research and Development' group and has participated in numerous national and international grants, including the 'USECHIP: Chair in Microelectronics' project (TSI-069100-2023-001) and the 'Easy-to-deploy intelligent network for independent living for our seniors (RIING)' initiative (IPT-2012-0645-300000). His academic contributions include pioneering work on FPGA-based IoT security (e.g., E-LUKS), high-precision timing systems, and low-power digital circuit design. He has published extensively in journals like IEEE Access and Electronics , and his research spans topics such as trigonometric function computation, hardware bootloaders (NanoBoot), and SoC integration frameworks (evercodeML). Guerrero Martos has over 20 years of experience in both academic and applied research, with notable contributions to teaching methodologies in electronics. He holds patents for innovative digital circuits and has collaborated on open-source hardware projects, emphasizing practical applications of embedded systems.

• Computer Architecture
• Parallel Systems
• File System Design
• +۳ مورد دیگر

Juan Piernas Canovas is an Associate Professor in the Faculty of Informatics at the University of Murcia, affiliated with the Department of Computer Engineering and Technology. He leads research in the Computer Architecture and Parallel Systems group, focusing on high-performance computing infrastructures. His doctoral work developed transactional file systems with metadata-data separation, establishing frameworks for efficient distributed storage architectures. Current projects optimize parallel processing and computational resource management.

Ricardo Gonçalves Macedoمشاهده پروفایل

استادیار

• Storage Systems
• Operating Systems
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Ricardo Gonçalves Macedo is an Invited Assistant Professor at the University of Minho and a Researcher at INESC TEC's Distributed Storage Research (DSR) team since 2016. He holds a PhD in Computer Science (2023) from the MAP-i program at Universities of Minho, Aveiro, and Porto, focusing on user-level software-defined storage data planes. His research emphasizes storage systems and operating systems, addressing performance, reliability, and energy efficiency in large-scale I/O infrastructures. Key areas include kernel-bypass storage stacks, disaggregated resources, and HPC storage challenges. Recent work includes tools like LAZYFS for fault injection and PADLL for metadata QoS control. He leads projects like DisaggregatedHPC (energy-efficient resource disaggregation) and CDMS (healthcare data management). Ricardo has supervised over 10 theses at the University of Minho and contributes to open-source projects in storage optimization. His work is published in top venues like VLDB, IEEE Cluster, and FAST.

Niusen Chenمشاهده پروفایل

عضو هیئت علمی

• Embedded System Security
• Storage Security
• Connected and Autonomous Vehicle Security
• +۴ مورد دیگر

Niusen Chen is a Research Assistant Professor at the Institute of Computing and Cybersystems (ICC) at Michigan Technological University. His research focuses on embedded system security, storage security, and connected/autonomous vehicle security. He specializes in developing robust systems to counteract ransomware, malware, and forensic attacks through techniques like plausibly deniable encryption and secure deletion. Key research interests include: Plausibly deniable encryption for mobile/wearable devices Flash translation layer and file system forensics Real-time malware detection and firmware restoration in vehicles His recent work emphasizes cross-layer security solutions and hardware-independent storage systems. Over 15 articles since 2021 reflect a strong focus on cybersecurity innovations in embedded and mobile systems. No scientific awards are listed here. Advising and grant details are currently unavailable. His lab work centers around creating specialized testbeds for flash memory research using hardware platforms like LPC-H3131.

• Reinforcement Learning
• Electric Vehicle Technology
• Optimization Algorithms
• +۴ مورد دیگر

Arnob Ghosh is an Assistant Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on reinforcement learning, optimization algorithms, and their applications in smart grid systems, electric vehicle infrastructure, and spectrum management. He has contributed significantly to areas such as multi-agent decision-making under constraints, dynamic resource allocation, and AI-driven hardware design. With an h-index of 9 and over 88 publications, his work bridges theoretical advancements with practical implementations in transportation, energy systems, and telecommunications. Research interests include developing efficient algorithms for constrained Markov decision processes, designing intelligent charging solutions for electric vehicles, and optimizing spectrum access in heterogeneous networks. His recent work explores safe reinforcement learning frameworks, dynamic routing of mobile charging stations, and leveraging large language models for AI accelerator design. Selected media engagements include patents filed with JIS College of Engineering on energy systems and contributions to studies on nonlinear science dynamics. His research emphasizes real-world applications, with projects addressing urban traffic control, renewable energy integration, and competitive market modeling in telecommunications. Collaboration networks span academia and industry, with active projects in India and the US focusing on sustainable energy, autonomous systems, and next-generation communication technologies.

• Electrical Engineering
• Energy Systems
• Plasma Physics
• +۳ مورد دیگر

Prof. Dr. Erol KURT is an Associate Professor at the Department of Electrical and Electronics Engineering, Faculty of Technology, Gazi University. He holds a Ph.D. from Bayreuth University (Germany) with research on rotating magnetic fluids and has worked at the Turkish Atomic Energy Authority. His expertise spans electrical engineering, plasma physics, nonlinear dynamics, renewable energy systems, and energy harvesting. He has pioneered conferences like ECRES and ICMECE and serves as Editor-in-Chief of the Journal of Energy Systems. His research emphasizes energy conversion, plasma engineering, and sustainable technologies. Education: M.Sc. (2001, Gazi University), Ph.D. (2004, Bayreuth University) supported by a European Graduate College Grant. His work integrates computational modeling (e.g., PIV/PTV simulations) with experimental validation, focusing on fluid dynamics, electromechanical systems, and plasma diagnostics. Research interests include: Plasma vessel design for energy applications RF/microwave energy harvesting via bioinspired rectennas Wind turbine optimization through magnet geometry and cogging torque reduction Secure communication via chaotic circuits Battery health monitoring under thermal stress He has led projects on Stirling engines, piezoelectric harvesters, and solar-thermal systems. His 18 thesis advisories and 19 intellectual properties highlight his mentorship and innovation in energy technologies. Current efforts explore hydrogen economies, thermoelectric cogeneration, and AI-driven energy system modeling.

Sian Jinمشاهده پروفایل

استادیار

• High-performance computing (HPC)
• Data reduction & lossy compression
• Parallel file system & I/O systems
• +۳ مورد دیگر

Sian Jin is an Assistant Professor in the Department of Computer & Information Sciences at Temple University. He holds a Ph.D. in Computer Engineering from Indiana University (2023) and a B.S. in Physics from Beijing Normal University (2018). His research focuses on high-performance computing (HPC), data reduction, and machine learning optimization, particularly leveraging lossy compression techniques to improve scientific data analytics and management. Key achievements include over 20 top-tier publications (SC, VLDB, EuroSys, etc.), development of frameworks like Foresight and DeepSZ, and recognition via awards such as the SC 2022 Student Grant and DGRP 2022. His work addresses challenges in parallel I/O acceleration, error-bounded compression for scientific simulations, and efficient DNN training through compression. Current research emphasizes in situ task scheduling for HPC applications and neural network-driven super-resolution techniques. He advises on Ph.D. opportunities in HPC, machine learning, and data reduction systems.

Marie-Lise Gougeonمشاهده پروفایل

استاد

• Immunology
• Virology
• HIV Research
• +۵ مورد دیگر

Marie-Lise Gougeon is a Professor and Principal Investigator (PI) at the Institut Pasteur , leading research in Antiviral Immunity, Biotherapy, and Vaccines . Her work focuses on understanding the interplay between innate and adaptive immunity in viral infections such as HIV and HPV. She explores mechanisms of viral persistence, immune evasion, and vaccine development, with a particular interest in dendritic cells, NK cells, and cytokine signaling (e.g., HMGB1, IFN-α). Key contributions include discovering HMGB1's role in HIV dissemination, identifying HPV-specific T-cell expansions in lichen planus, and developing novel antiretroviral nanoparticle therapies. She has led projects funded by ANRS, ANR, and the Institut Pasteur, with patents filed on vaccine strategies and immune modulation. Her research also addresses public health challenges like pandemic influenza, shigellosis, and vaccine safety (e.g., thimerosal effects). Collaborative efforts include the Inception Program for integrative biology and international studies on antibiotic resistance (e.g., SARA project).

Uwe M. Borghoffمشاهده پروفایل

استاد

• Information Management
• Digital Preservation
• Distributed Systems
• +۳ مورد دیگر

Prof. Uwe M. Borghoff is a full professor of Computer Science at the Universität der Bundeswehr München, within the Institute of Software Technology. He holds a diploma and doctoral degree from TU Munich, and completed his habilitation in 1993. Previously, he worked at Xerox Research Centre Europe as a Senior Scientist and group leader. He has served as Dean of the Faculty of Computer Science (2002–2004) and currently is Vice-President of the University since 2004. His research focuses on information management, digital preservation, distributed systems, and knowledge management, with contributions to AI applications like neural networks in games. He has authored/co-authored books on digital preservation and distributed systems, including *Long Term Preservation of Digital Documents* (2006) and *Computer-Supported Cooperative Work* (2000). Borghoff has supervised numerous students, including PhD, Master’s, and Bachelor’s theses across AI, neural networks, and software development. His patents span cross-lingual information retrieval and AI-driven assistive devices. He has held leadership roles in academic and industry initiatives, such as the Münchner Knowledge Management Kreis and Siemens’ Wissensmanagement projects.

Thomas Schierlمشاهده پروفایل

پژوهشگر

• Video Coding
• Wireless Communication Protocols
• Multimedia Systems
• +۳ مورد دیگر

Dr. Thomas Schierl is the Head of the Video Communication and Applications Department at Fraunhofer Heinrich Hertz Institute (HHI) in Berlin. Since 2010, he has led research groups in multimedia communications and video coding, co-developing key video coding standards such as H.264 SVC and HEVC. He currently heads the Video Coding & Analytics department since 2015, focusing on video compression, wireless transmission, and standardization. Education: Diplom-Ingenieur (Computer Engineering) from Berlin University of Technology, 2003 Dr.-Ing. in Electrical Engineering and Computer Science, Berlin University of Technology, 2010 Research interests span video over wireless networks, system integration of video codecs, and cellular network protocols. He contributed to MPEG-2 Transport Stream standards and co-authored IETF RFCs for video payload formats. In 2014, he received the Emmy Award for MPEG-2 Transport Stream development. Active in standardization bodies: JCT-VC, MPEG, IETF, 3GPP, and DVB. His work includes high-level syntax for HEVC parallelism and V2X resource pooling for 5G NR. Labs/Teams: Leads the Video Coding & Analytics team at HHI, specializing in cutting-edge video compression and communication technologies.