جست‌وجوی استاد و پژوهشگر

Jean-Louis Gutzwillerمشاهده پروفایل

پژوهشگر

• Image Processing
• Signal Processing
• Computer Vision
• +۳ مورد دیگر

Jean-Louis Gutzwiller is a Researcher at the Lorrain Laboratory for Research in Computer Science and its Applications (LORIA), a joint research unit of CNRS, Inria, and the University of Lorraine, focusing on advanced image processing and compression techniques for hyperspectral data and transportation systems. His work bridges theoretical signal processing with practical applications in remote sensing and intelligent infrastructure. His research spans hyperspectral image compression, wavelet transforms, vehicle-to-road communication systems, and speaker diarization algorithms. Key contributions include developing exogenous quasi-optimal spectral transforms for MERIS satellite data, optimizing SPIHT coders for hyperspectral imaging, and pioneering electromagnetic loop-based vehicle detection systems. His methodology emphasizes low-complexity solutions suitable for onboard satellite processing and real-time applications. Analysis of his 11 publications (2022-2025) reveals a dominant focus on hyperspectral compression techniques, particularly using exogenous transforms and zero-tree coding for remote sensing data. Secondary themes include vehicle infrastructure communication systems and neural gas algorithms for audio processing. His work consistently addresses computational efficiency challenges in resource-constrained environments like satellite platforms. Gutzwiller operates within LORIA's collaborative framework, contributing to France's national research ecosystem through partnerships with CNRS and Inria. His laboratory affiliation enables interdisciplinary work spanning computer science, aerospace engineering, and transportation technology, with practical implementations in earth observation and smart mobility systems.

Patrick LESERFمشاهده پروفایل

دانشیار

• Embedded Systems Engineering
• Model-Based Systems Engineering (MBSE)
• Automotive Software Architecture
• +۴ مورد دیگر

Patrick LESERF is an Associate Professor at ESTACA, a French engineering school specializing in transport systems, where he serves as a Teacher-researcher in ESTACA'Lab. Since joining in 2005, he has founded the embedded systems laboratory, developed academic programs including a specialized master's degree in Embedded Lighting Systems (with IOGS, Renault, and PSA), and led research collaborations with CEA-LIST on transport systems reliability using model-based approaches. His research centers on Model-Based Systems Engineering (MBSE) for embedded automotive systems, with expertise in SysML modeling, safety-security co-optimization, and AUTOSAR methodology. Key contributions include architecture optimization for critical systems, real-time communication networks (CAN/LIN/FlexRay), and embedded OS design. Recent work expands into intelligent transportation systems and electric vehicle powertrain optimization. Analysis of his 2023-2024 publications reveals a strategic shift toward AI-integrated solutions: neural architecture search for efficient deep learning models, predictive analytics for urban traffic optimization using Eclipse MOSAIC, and multi-objective optimization of battery/motor systems in electric vehicles. This evolution demonstrates integration of traditional embedded systems engineering with data-driven approaches. Scientific Awards: No major awards documented in source materials. Advising and Grants: Co-supervises PhD candidate Léo Pouy on MBSE for autonomous decision-making systems. Led the European Matelo project (statistical testing for embedded software) during industrial tenure and established ESTACA's joint research team with CEA-LIST. Directs curriculum development for embedded systems education across multiple specialized master's tracks. Labs and Teams: Founded ESTACA'Lab's embedded systems research group in 2005, scaling it to four teacher-researchers. The lab focuses on model engineering, transport communication networks, and software architecture optimization, supported by a 350-hour teaching program covering embedded networks, OS, and microcontrollers. Current activities include steer-by-wire systems and IoV applications.

Nicu N. Gogaمشاهده پروفایل

پژوهشگر

• Computer Simulation
• Molecular Dynamics
• Robotics
• +۵ مورد دیگر

Nicu N. Goga is an external researcher at the University of Groningen's Faculty of Science and Engineering, specializing in computational methods with applications spanning transportation systems, robotics, and renewable energy. His work integrates advanced simulation techniques across multiple engineering disciplines to solve complex real-world problems. Dr. Goga's research demonstrates exceptional interdisciplinary breadth, with core expertise in computer simulation and molecular dynamics. He has pioneered adaptive route optimization solutions for commercial fleets, developed affordable humanoid robotics platforms like Miha, and engineered EEG-based brain-computer interfaces for consumer electronics. His molecular dynamics work focuses on photoelectrochemical water splitting for sustainable hydrogen production, directly contributing to UN Sustainable Development Goals in clean energy and industry innovation. Analysis of his 2021-2025 publications reveals a strategic evolution from fundamental computational chemistry toward applied engineering solutions. While maintaining molecular dynamics as a foundational methodology, his recent work increasingly targets transportation logistics and human-robot interaction, showcasing a deliberate shift toward high-impact applications in commercial and assistive technologies. Affiliated with the Molecular Dynamics research group at Groningen, Dr. Goga operates within a robust collaborative network evidenced by international co-authorship patterns. His technical fingerprint spans computer simulation engineering, model checking, multiscale modeling, and distributed systems architecture, reflecting a versatile computational toolkit applied across diverse problem domains.

Melike Erol Kantarciمشاهده پروفایل

دانشیار

• 5G and 6G Networks
• Artificial Intelligence (AI)
• Tactile Internet
• +۹ مورد دیگر

Dr. Melike Erol-Kantarci is an Associate Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, and a Canada Research Chair in AI-enabled Next-Generation Wireless Networks. She founded the Networked Systems and Communications Research (NETCORE) Laboratory and holds a courtesy appointment as Assistant Professor at Clarkson University's Electrical and Computer Engineering Department. With over 6,000 citations and an h-index of 40, she contributes to IEEE as a Senior Member, chairs the Green Smart Grid Communications special interest group, and serves as Editor for IEEE Communications Letters and IEEE Access . Research Focus: 5G/6G wireless networks AI/ML-driven network optimization Smart grid communications Cyber-physical system security Edge computing and IoT Reconfigurable Intelligent Surfaces (RIS) Scientific Contributions: Her recent publications highlight generative AI integration in 6G, intent-driven network management using hierarchical reinforcement learning, physical layer security for connected vehicles, and explainable AI frameworks in communications. The 15 most recent works (2024-2025) span topics like beamforming optimization, federated learning security, UAV-assisted networks, and semantic communication systems. Leadership: As director of the NETCORE Laboratory, she leads cutting-edge research in networked systems, bridging wireless communication paradigms with energy sustainability and security requirements for next-generation networks.

Michalis Zervakisمشاهده پروفایل

استاد

• Digital Image Processing
• Signal Processing
• Biomedical Applications
• +۳ مورد دیگر

Michalis Zervakis is a Professor at the Technical University of Crete , affiliated with the School of Electronic and Computer Engineering and its Department of Electronic and Computer Engineering. He serves as a laboratory director at the Digital Signal and Image Processing Laboratory since 1990 and teaches courses on Digital Signal Processing and Digital Image Processing. Education Ph.D. in Electrical Engineering, University of Toronto (1990) M.Sc. in Electrical Engineering, University of Toronto (1985) B.Sc. in Electrical Engineering, Aristotle University of Thessaloniki (1983) His research focuses on digital image and signal processing , with applications in biomedicine and telecommunications. He explores pattern recognition , neural networks , and machine learning for medical diagnostics (EEG, ECG, MRI), industrial monitoring, and aerial surveillance systems. Recent publications reveal trends in biomedical signal processing (EEG/MEG/MRI), medical AI , and computer vision for UAV applications . Key subfields include seizure detection, traumatic brain injury analysis, cardiovascular monitoring, and interpretable machine learning frameworks. Leadership Roles Former Laboratory Director (University of Minnesota, Technical University of Crete) Associate Editor for IEEE Transactions on Signal Processing Collaborations Participation in Greek/European/international scientific programs Conference organization (e.g., IEEE IMS Technical Committees)

• Civil Engineering
• Smart Mobility
• Transport Policy
• +۳ مورد دیگر

Dr. Kathryn Stewart is a transportation researcher at the Transport Research Innovation Centre within the School of Engineering and The Built Environment at Edinburgh Napier University. Her work focuses on Civil Engineering , Smart Mobility , and Transport Policy , with particular emphasis on cycling safety, congestion charging, and sustainable urban planning. Key research themes in her work include: Quantifying cycling risk through meso-level spatial modeling Analyzing boundary effects in dynamic congestion pricing systems Investigating driver behavior around cycling infrastructure Assessing ICT measures for carbon reduction in transportation Studying urban freight policies and their implementation frameworks She has contributed to major projects like the CHAMP initiative funded by Intelligent Energy Europe and served as Director of Studies for PhD candidates such as Suzanne Meade. Her methodological expertise spans traffic simulation, statistical analysis of accident data, and policy evaluation frameworks.

• urban transport systems
• traffic management
• information technology in transport

Raida Igor Mykhailovych is a Senior Lecturer at the Transport Technologies Department of Zaporizhzhia Polytechnic National University's Transport Faculty. With over 25 years of academic experience since 1995, he has established himself as a specialist in urban transport systems and traffic management, with particular expertise in applying information technologies to transportation problems. His educational background includes a degree from Zaporizhia State Technical University's Faculty of Transport (1995), where he specialized in 'Organization of transportation and management in transport.' He has taught courses including 'Information systems and technologies in transport,' 'Integrated transportation systems,' 'Geographic information systems,' and 'Special methods of traffic management.' Raida's research focuses on urban transport systems, traffic management, and information technology applications in transportation. His work has examined epidemic impacts on transport infrastructure, passenger contact networks, bus transportation organization, and the environmental impact of road transport. His research demonstrates a consistent commitment to improving urban mobility through technological innovation and evidence-based analysis. Among his professional recognitions are multiple Honorary Certificates from Zaporizhzhia National Technical University for his contributions to student research guidance and scientific work, including awards in 2019, 2018, 2016, 2014, and 2013. He also received recognition from the Zaporizhzhia City Council's October District Administration in 2012 for preparing highly qualified specialists for Ukraine's transport sector. From 2005 to 2015, Raida participated in the state examination commission for the specialty 'Organization and regulation of road traffic.' His ORCID identifier is 0000-0003-3925-4692, and his Google Scholar profile is available online. Fluent in both Ukrainian and Russian, he maintains an active research profile with publications spanning over two decades.

Alexander Beetzمشاهده پروفایل

استاد

• Engineering Geodesy
• Construction Machine Guidance
• Indoor Positioning Systems
• +۵ مورد دیگر

Alexander Beetz serves as Professor of Applied Geodesy and Engineering Geodesy at Stuttgart University of Applied Sciences since 2023, following industry roles as Software Development Lead (2016-2023) and Development Engineer (2013-2016) at MTS Schrode AG. His academic foundation includes a Dr.-Ing. in Geodesy and Geoinformatics from the University of Stuttgart (2012) and prior service as academic staff at the Institute of Engineering Geodesy (2006-2013). Education: Dipl.-Ing. in Geodesy and Geoinformatics, University of Stuttgart (1997) Dr.-Ing. in Geodesy and Geoinformatics, University of Stuttgart (2012) Referendariat for higher surveying technical administrative service, completed as Vermessungsassessor (2003) Professor Beetz's research centers on Engineering Geodesy applications in construction automation, with emphasis on machine guidance systems, indoor positioning, and BIM integration. His work develops precision control solutions for construction machinery through sensor integration and real-time positioning, addressing critical challenges in measurement accuracy and control quality separation. Key innovations include hardware-in-the-loop simulators for dozer lateral control and signal-matching techniques for mobile positioning. His publication trajectory (2010-2017) reveals consistent focus on geodetic engineering for construction automation, evolving from machine simulator calibration to BIM implementation in excavation modeling. Core themes include real-time sensor integration, precision guidance algorithms, and quality control frameworks for construction machinery, demonstrating practical translation of geodetic principles into industrial applications. Professional leadership includes membership in FG13 BIM at the Association of German Surveying Engineers (VDV) and chairmanship of Cluster 5 (Machine Assistance Interface) within MIC4.0's System Control Working Group, driving standards for machine control interfaces in construction technology.

Haodong Wangمشاهده پروفایل

دانشیار

• Wireless and mobile computing
• Security and privacy in pervasive computing
• Information retrieval
• +۵ مورد دیگر

Haodong Wang is an Associate Professor in the Department of Electrical Engineering and Computer Science at Cleveland State University, where he maintains his office in FH 219. He previously served as an Assistant Professor in the Department of Math and Computer Science at Virginia State University before joining Cleveland State. Wang received his educational foundation through a Bachelor of Engineering in Electronic Engineering from Tsinghua University in Beijing, China, followed by a Master of Science in Electrical Engineering from Penn State University, culminating in a Ph.D. in Computer Science from the College of William and Mary in August 2009. His research primarily focuses on wireless and mobile computing security, with particular expertise in cryptographic implementations for resource-constrained sensor networks. Wang's WM-ECC project represents one of the most efficient publicly available ECC implementations for wireless sensor motes, adopted by numerous institutions including USC, UCLA, and Siemens Research Corporation. His work bridges theoretical security concepts with practical implementations for pervasive computing environments. Analysis of his 15 most recent publications reveals a progression from foundational wireless sensor network security work toward broader applications in cloud computing, virtualization, and web security, while maintaining his core expertise in wireless communications. His research consistently demonstrates a practical engineering approach to solving real-world security and performance challenges. Wang has served on technical program committees for major conferences including GLOBECOM 2014 and ICCCN 2014, reflecting his standing in the networking research community. He teaches a comprehensive range of courses at Cleveland State University from foundational programming and data structures to advanced topics in information security, blockchain, and artificial intelligence, demonstrating both breadth and depth in computer science education.

Dinesh Acharya Uمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Image Processing
• +۴ مورد دیگر

Dinesh Acharya U serves as a Professor in the Department of Computer Science and Engineering at Manipal Institute of Technology, Manipal University. His academic leadership spans both foundational computer engineering and interdisciplinary medical applications, with research output consistently growing since 2006. Current affiliations include active roles at the School of Computer Engineering with verified ORCID profile (0000-0002-0304-4725) and institutional webpage. Research interests prominently feature Machine Learning (68% fingerprint weight), Data Mining (40%), and Medical Informatics applications. His work bridges computer science with healthcare challenges, particularly in neonatal sepsis detection, diabetic complications, and low-resource language processing. The research fingerprint shows strong emphasis on prediction (52%), algorithms (53%), and India -specific healthcare contexts (40%). Publication trends reveal accelerating output since 2018, with 12 papers in 2022 and continued productivity through 2025. Recent work demonstrates interdisciplinary convergence, particularly in Medical AI (neonatal sepsis, diabetic kidney disease) Natural language processing for low-resource languages Transformer-based architectures across domains Notable patterns include increasing clinical collaborations and emphasis on practical implementation tools. Professional recognition includes an h-index of 13 with 596 citations across 71 research outputs. Key distinctions: Scopus profile verification ORCID registration Multi-institutional collaborations evident in co-authorship Academic supervision and grant activity cannot be confirmed from available data, though 15+ recent publications suggest active research teams. Current projects appear focused on Medical diagnostic tool development Low-resource language technology Clinical decision support systems with evident laboratory infrastructure supporting computational healthcare research.

Farshid Agharebparastمشاهده پروفایل

دانشیار

• Data Communications
• Mobile Computing
• Wireless Networks
• +۳ مورد دیگر

Farshid Agharebparast serves as an Associate Professor Teaching in the Department of Electrical and Computer Engineering at the University of British Columbia's Faculty of Applied Science. His academic career is anchored in data communications networks and mobile computing, with active contributions to the Communication Systems Research Group specializing in Data Communications. Education: BSc, University of British Columbia MASc, University of British Columbia PhD, University of British Columbia Dr. Agharebparast's research explores stochastic network calculus applications for wireless performance evaluation, cross-layer design in fading channels, and QoS provisioning. His work bridges theoretical frameworks like min-plus algebra with practical challenges in 4G handover privacy, bandwidth allocation in WiMAX, and traffic shaping for unreliable channels. These investigations address critical needs in next-generation mobile infrastructure where latency guarantees and resource efficiency are paramount. His teaching encompasses core engineering subjects including Circuit Analysis (ELEC 201), Operating Systems (CPEN 331), Computer Networking (ELEC 331, CPEN 400N), and multiple design studio courses (ELEC 291, CPEN 291). This portfolio demonstrates deep engagement with both foundational theory and hands-on implementation across electrical and computer engineering curricula. Scientific Awards: No awards documented in source materials Through design studio courses and undergraduate teaching assistantships, Dr. Agharebparast mentors emerging engineers in practical system development. His publication trajectory from 2001-2022 indicates sustained research activity in network performance modeling, though specific grant funding details remain unreported. His work consistently targets real-world wireless challenges including video streaming optimization and privacy-preserving mobility management. Affiliated with UBC's Communication Systems Research Group, he contributes to a collaborative ecosystem focused on data communications innovation. Current investigations appear centered on stochastic performance bounds for modern wireless architectures, extending his two decades of scholarship in network calculus applications.

• Artificial Intelligence
• IT Security
• Cyber-Physical Systems
• +۹ مورد دیگر

Dipl.-Ing. Oliver Eigner BSc is a Researcher in IT Security and Coordinator for AI & Digital Transformation at St. Pölten University of Applied Sciences' Department of Computer Science and Security. He holds a Master's degree in Information Security and Bachelor's degree in IT Security from the same institution. Master Information Security (2014-2016), St. Pölten University of Applied Sciences Bachelor IT Security (2011-2014), St. Pölten University of Applied Sciences HTL Ybbs a.d. Donau, Network Technology (2011) His research focuses on Trustworthy AI , Cyber-Physical Systems Security , and Resilient Artificial Intelligence . He leads projects like TrustAI (2026), FAIRAI, and Secure Supply Chains for Critical Systems (SSCCS). His work bridges AI ethics , security in multimodal logistics , and cybersecurity education . Recent publications demonstrate his expertise in AI security frameworks (2024), active learning applications (2024), and environmental monitoring via microwave links (2022). He contributes to conferences like Machine Learning Prague and IEEE COINS. Contact: oliver.eigner@fhstp.ac.at

Erik I. Verriestمشاهده پروفایل

استاد

• Mathematical system theory
• Control systems
• Delay-differential systems
• +۴ مورد دیگر

Erik I. Verriest is a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology , where he has been a faculty member since 1980. He also served as a visiting professor at Georgia Tech Lorraine during the 1991–92, 1993–94, and 1994–95 academic years. His research focuses on mathematical system theory, control systems, delay-differential systems, and their applications in robotics and autonomy. Education: 1973 – Burgerlijk Electrotechnisch Ingenieur , State University of Ghent, Belgium 1975 – M.Sc., Stanford University 1980 – Ph.D., Stanford University Research Interests: Professor Verriest's work spans a wide range of theoretical and applied areas in control and system theory. He has made significant contributions to the algebraic theory of time-varying linear systems , balancing techniques , and array algorithms . His more recent work includes periodic and hybrid systems , delay-differential systems , model reduction for nonlinear systems , and control under communication constraints . He has also explored applications in cryptography , data compression , and optical computing . His research is deeply rooted in mathematical system theory , with a focus on nonlinear dynamics , optimal control , and stability analysis of complex systems. His work often bridges theoretical insights with practical applications in robotics and autonomous systems . Publications Trend: From 2020 to 2025, Professor Verriest has published extensively on optimal control methods , delay systems , and nonlinear dynamics . His recent work emphasizes model-free control strategies , state-dependent delays , and energy-efficient control in autonomous systems . He has also contributed to the theoretical foundations of generalized functions and operator differential equations with applications in signal processing and system modeling. Scientific Awards & Honors: While specific awards are not listed in the provided text, Professor Verriest is noted to be a member of the IFAC Committee on Linear Systems and has served on numerous International Program Committees (IPCs) , indicating recognition and leadership in his field. Contact & Affiliation: Email: erik.verriest@ece.gatech.edu Office: VL 492, Georgia Institute of Technology Phone: 404.894.2949 He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech, where he is a Core Faculty member in Robotics .

Anupam Dasمشاهده پروفایل

دانشیار

• Security and Privacy
• Cyber Security
• Internet of Things (IoT)
• +۶ مورد دیگر

Anupam Das is an Associate Professor in the Department of Computer Science at North Carolina State University and a member of the Wolfpack Security and Privacy Research (WSPR) lab. He serves as the director of the IoT Smarthome Lab and holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC), with prior postdoctoral experience at Carnegie Mellon University (CMU). Education: Ph.D. in Computer Science (UIUC, 2016) Das conducts interdisciplinary research in security and privacy, focusing on designing secure and privacy-preserving technologies for the Internet of Things (IoT) era. His work explores privacy-preserving IoT analytics, network traffic analysis for device fingerprinting, and frameworks for controlling information sharing in data analytics. Key areas include cybersecurity, human-computer interaction (HCI), machine learning, signal processing, and public policy. His recent publications address challenges in IoT security, web tracking, and voice assistant privacy. Notable awards include the 12th Annual Privacy Papers for Policymakers (PPPM) Award and two Meta Research Awards. Das actively collaborates with students in the IoT Smarthome Lab and mentors graduate and undergraduate researchers. Scientific Awards 12th Annual PPPM Award winner Meta Research Award for social VR privacy studies Meta Research Award for voice assistant security Das has secured significant grants from the National Science Foundation (NSF) and the Center for Accelerated Real-Time Analytics (CARTA) for projects like collaborative IoT analytics and defense against web tracking. His lab serves as a testbed for IoT device analysis, network traffic studies, and emerging communication protocols.

• Communication Technologies
• Electronics
• Internet of Things (IoT)
• +۵ مورد دیگر

Jon Legarda Macon serves as a Lecturer and researcher at the University of Deusto's Faculty of Engineering within the Department of Computing, Electronics and Communication Technologies. Holding a PhD in Engineering from the University of Navarra (2004), he leads research initiatives focused on industrial communication technologies and sustainable systems. His research spans communication technologies, electronics, and IoT systems with specialization in energy harvesting, data spaces, and environmental impact reduction. Current work emphasizes data spaces applied to improving environmental and social impacts across industrial, energy, and governance environments, with significant contributions to textile antennas, RF energy harvesting, and sustainable supply chain solutions. His publication portfolio shows strong emphasis on wireless communication systems (35%), energy harvesting technologies (25%), and sustainable applications (20%), with recent work pivoting toward blockchain applications in energy markets and computational intelligence for agrifood systems. Dr. Legarda has supervised 10 doctoral theses across topics including textile rectennas, energy harvesting optimization, and wireless sensor networks. His research is supported by numerous competitive grants including EU Horizon projects (PARITY, FOODRUS), Spanish national programs, and regional Basque initiatives totaling over €15 million in funding since 2012. He actively contributes to the Deusto Sustainable Research Group and leads multiple industrial collaborations through projects like URETIK (energy-efficient greenhouse platforms) and SIONIA (real-time bird identification systems), focusing on practical implementations of sustainable IoT solutions.