جستجوی استاد راهنمای دانشگاهی

Zvonimir Šipušمشاهده پروفایل

استاد

• Electromagnetic Engineering
• Antenna Design
• Metamaterials
• +۷ مورد دیگر

Zvonimir Šipuš is a Full Professor at the Department of Communication and Space Technologies, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on advanced antenna design, metamaterials, electromagnetic engineering, and biomedical applications. He leads projects on wearable and implantable antennas, metamaterial-based systems, and optical fiber sensors. He has authored numerous papers and contributed to international conferences such as ICECom 2023. Current work emphasizes medical device integration, robotic sensor systems, and high-frequency communication technologies. His team develops solutions for on-body communication, implantable antennas, and smart textile applications. Education details are not explicitly stated but inferred through his academic role. Research areas include antenna modeling, dielectric material characterization, and electromagnetic simulations. Recent projects involve glide-symmetric metasurfaces, spherical human phantoms for antenna testing, and 3D-printed sensor systems. Collaborations span biomedical engineering, robotics, and optical communication networks. No specific awards are listed, but his extensive publication record reflects recognition in the field. Key Projects: Implantable antenna design, wearable waveguide systems, metamaterial-based lens antennas. Grants & Funding: Not explicitly mentioned in the text. Labs/Teams: Department of Communication and Space Technologies research groups.

Harry F. Hemondمشاهده پروفایل

استاد

• Biogeochemistry
• Environmental Chemistry
• Wetland Geochemistry
• +۵ مورد دیگر

Professor Harry F. Hemond is a distinguished faculty member at the Massachusetts Institute of Technology (MIT) in the Civil and Environmental Engineering department. With a career spanning decades, his research focuses on the biogeochemical cycling of chemicals in aquatic and wetland systems, environmental instrumentation development, and sustainable energy solutions . He has received multiple awards, including the MIT Bose Award for Excellence in Teaching (2007) and the CEE Maseeh Graduate Teaching Award (2010), highlighting his dual expertise in research and education. B.S., Worcester Polytechnic Institute M.A., Connecticut College Ph.D. 1977, MIT His research interests include: Biogeochemistry of inland and coastal waters, emphasizing trace metals and methane dynamics Development of in-situ chemical instrumentation like the NEREUS mass spectrometer and optical sensors Renewable energy applications, particularly solar organic Rankine cycle engines Recent publications emphasize methane venting mechanisms , trace metal deposition , and low-cost sensor systems for environmental monitoring. His lab has pioneered techniques for real-time water chemistry analysis and studies of metal cycling in contaminated sediments. Awards and honors include: MIT Irwin Sizer Award (1991) CEE Departmental Service Award (2003) CEE Departmental Appreciation Award (2005) MIT Bose Award (2007) CEE Maseeh Teaching Award (2010) Students under his mentorship include PhD candidates studying methane cycling , water quality sensors , and trace metal geochemistry . The Hemond Lab develops in-situ observational systems to study Earth's biochemical cycles in challenging environments.

Brian Plancherمشاهده پروفایل

استادیار

• Robotics
• Embedded Systems
• Machine Learning
• +۳ مورد دیگر

Brian Plancher is an Assistant Professor of Computer Science at Barnard College, Columbia University, and will transition to Dartmouth College in Fall 2025. He leads the Accessible and Accelerated Robotics Lab (A²R Lab), focusing on optimizing robotic systems through algorithm-hardware-software co-design. His research spans Robotics, Embedded Systems, and Machine Learning, with an emphasis on accessibility in STEM education and global TinyML initiatives. He co-chairs the TinyMLedu Open Education Initiative and serves on the IEEE RAS Technical Committee. Education: PhD (2022), MEng (2018), and BA (2013) in Computer Science from Harvard University. Research Interests: Developing open-source algorithms for dynamic motion planning, GPU-accelerated optimization, and education initiatives to lower barriers in robotics and embedded ML. Recent efforts include TinyMPC (microcontroller optimization) and MPCGPU (real-time NMPC on GPUs). Grants & Awards: NSF CSSI Grant (2024), Toyota Research Institute Grant (2025), and best paper/poster awards at IEEE ICRA and robotics conferences. His work emphasizes sustainability, ethics, and global accessibility in AI and robotics. Lab & Teaching: Teaches Parallel Optimization for Robotics at Barnard and organizes the Optimization for Robotics Summer School. Collaborates internationally on TinyML4D to scale education in developing countries.

Yahong Rosa Zhengمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Underwater Wireless Networks
• +۳ مورد دیگر

Yahong Rosa Zheng is a Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology. She holds a Ph.D. from Carleton University (2002), an M.S. from Tsinghua University (1989), and a B.E. from the University of Electronic Science and Technology of China (1987). Her research focuses on array signal processing, wireless communications, underwater acoustic networks, and cyber-physical systems. She has served as Technical Program Committee member for IEEE conferences like VTC, GlobeCom, and ICC, and held roles such as Tutorials co-chair for Globecom 2016 and ICC 2018. Recognitions include the NSF CAREER Award (2009) and IEEE Fellow (2015). Her work emphasizes underwater communication technologies, including MIMO systems, acoustic signal processing, and hardware implementations. Recent projects include FPGA-based acceleration for interference cancellation and MAC protocol design for underwater sensor networks. She also contributed to educational initiatives like the F1TENTH autonomous systems competition platform. Awards include the NSF Early-Career Award for innovative research in underwater networks and the IEEE Fellow distinction for contributions to signal processing and wireless communications. Her lab explores cutting-edge topics like OTFS modulation for mobile underwater acoustic communication, deep reinforcement learning for network optimization, and low-power magneto-inductive sensor networks.

• French Language Practice
• Romance Studies
• Computer Vision
• +۳ مورد دیگر

Viridiane Fay is a researcher in the Institute of Modern Languages and Romance Studies at the University of Würzburg , specializing in French language practice and applied computational methods. During lecture periods, she holds office hours every Tuesday from 1 p.m. to 2 p.m., with appointments available during semester breaks. Role: French Editor, Language Practice Location: Am Hubland, 97074 Würzburg Contact: viridiane.fay@uni-wuerzburg.de Her research spans two distinct domains: French language pedagogy and computer vision/AI . While her institutional affiliation focuses on Romance Studies, her publication record reveals expertise in: Medical and underwater image processing Transformer-based architectures Federated learning and network optimization Watermarking and security algorithms Multi-modal AI applications Neuroscience signal analysis Recent work includes lightweight segmentation models (e.g., ContextFormer), drone/aerial imagery detection frameworks (CH-YOLO-Lite), and privacy-preserving AI systems (Find). Despite limited biographical details in the scrape, her 30+ publications since 2017 suggest significant technical contributions.

• Resource-efficient machine learning
• Data-efficient machine learning
• On-device learning
• +۵ مورد دیگر

Olga Saukh is an Associate Professor at TU Graz's Institute of Computer Engineering, leading the Embedded Learning and Sensing Systems (ELSS) group. Her research focuses on resource-efficient AI, on-device learning, and robust sensing systems for IoT and environmental monitoring applications. She holds a Dr.rer.nat. and MSc in Computer Science, with expertise in embedded systems and wireless sensor networks. Her work integrates machine learning with hardware constraints, addressing challenges in energy efficiency, real-time adaptation, and adversarial robustness. Notable projects include PCDCNet for air quality forecasting and SensorFormer for sensor calibration. She has contributed to OpenSense Zurich's air pollution monitoring and automated pollen sensing systems. Her research spans over 50 publications since 2006, emphasizing practical deployments in structural health monitoring, smart agriculture, and urban environmental sensing. She leads interdisciplinary projects combining AI, embedded hardware, and data-driven decision-making.

• Parallel and Distributed Computing
• High Performance Computing
• Edge-Cloud Computing
• +۳ مورد دیگر

Overview Dr. Jean-François DOLLINGER is a Researcher-Lecturer at CESI LINEACT (Strasbourg campus), affiliated with the Engineering and Numerical Tools research team. His academic roles include teaching Computer Science courses (undergraduate/graduate) and supervising student projects in algorithmics, programming, databases, and networks. Education: PhD in Computer Science (2011-2015), University of Strasbourg - ICube Lab MSc in Computer Science (2009-2011), University of Strasbourg (Highest Honors) BSc in Computer Science (2008-2009), University of Strasbourg (Honors) Research Interests: Focuses on edge-cloud computing, high-performance distributed systems, combinatorial optimization in IoT networks, and smart city infrastructure. Specializes in optimizing federated learning, WSN deployment strategies, and hybrid CPU/GPU execution frameworks. Advising & Collaboration: Supervises PhD/Master’s students (e.g., A. BAAHMED on federated learning, K. BOUHOUCH on OpenStack edge deployment) Collaborated with Indonesian universities (Mercu Buana) on RPL protocol extensions Research Team: Leads the Engineering and Numerical Tools group, developing frameworks for edge-cloud infrastructures and BIM-based WSN deployments in smart buildings.

Cesar Ortega-Sanchezمشاهده پروفایل

دانشیار

• Embedded Systems
• Bio-inspired Architectures
• Engineering Education
• +۶ مورد دیگر

Associate Professor Cesar Ortega-Sanchez is affiliated with Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), where he holds the role of Associate Professor since 2005. He has served in leadership roles including Academic Lead of the Engineering Foundation Year (2015-2022), Associate Dean of Teaching and Learning (2013-2014), and Chair of IEEE WA Section (2016-2017). His expertise spans bio-inspired systems, embedded systems, robotics, and engineering education. Education: BEng (Hons) from the Metropolitan Autonomous University (Mexico), MSc from Brunel University (UK), and PhD from the University of York (UK). Specializes in curriculum design, assessment methodologies, and promoting student employability. Mentor of Curtin Robotics Club and IEEE Curtin Student Branch since 2009. Research Interests: Embedded systems, bio-inspired architectures, educational pedagogy, and indigenous content integration in engineering curricula. Over 60 publications in areas like FPGA-based assistive technologies, smart home systems, and energy storage monitoring. Awards include the 2015 Australian Office of Learning and Teaching Citation and M.K. Stott Prize (2000). Teaching roles include leading ELEN1000 (Electrical Systems) and ENGR1000 (Engineering Connections), with a focus on innovative teaching methods like project-based learning (e.g., 'Crazy Machine' lab projects). Active in educational committees at university and national levels.

Wesley Da Silva Costaمشاهده پروفایل

مدرس

• Visible Light Communication
• Internet of Things (IoT)
• Genetic Algorithm Optimization
• +۴ مورد دیگر

Wesley Da Silva Costa is a Lecturer-Researcher at the Research Centre Biobased Economy, University of Groningen. His research focuses on Visible Light Communication (VLC), IoT systems, and optimization techniques such as genetic algorithms. He holds a PhD in Electrical and Electronic Engineering from the Federal University of Espirito Santo (2023). Key research areas include improving spectral and power efficiencies in VLC systems, optimizing mesh networks, and applying AI to communication frameworks. His work addresses challenges in low-power wireless networks, handover protocols, and hybrid IoT resource allocation. Recent publications (2021–2025) emphasize VLC system enhancements, IoT integration, and AI-driven solutions for industrial and healthcare applications. Collaborations span topics like chronobiological monitoring in extreme environments and sustainable communication technologies aligned with UN SDGs. Notable contributions include low-cost IoT diagnostic tools for tropical/Antarctic environments and optimized OFDM-VLC systems using multi-objective algorithms. His research bridges theoretical advancements with practical implementation in smart grids and medical monitoring.

• Wireless Communication Networks
• Information Security
• Signal Processing
• +۴ مورد دیگر

Benoit Geller is a Full Professor at Institut Polytechnique Paris-ENSTA and holds the HDR (Accreditation to Lead Research) from the University of Paris. He leads the Specialized Master in Autonomous Systems for Defense (ILEMs). Previously, he was Head of the Multisensor and Information Team at SATIE lab (École Normale Supérieure Paris Saclay) until joining ENSTA in 2007. His expertise spans wireless communication security, underwater acoustic systems, and IoT networks. Key roles include French Navy Reserve Superior Officer and IEEE Senior Member. Education : HDR (2004), PhD in Wireless Communication Networks (1992, INPG), Engineering Master in Telecommunications (1988, ENSERB). Research Focus : Signal processing, cryptography, cross-layer solutions for tactical and underwater communications. Over 100 international papers and 4 pending patents. Awards : Knight of Academic Palms (2018), IEEE Senior Member (2010). Recent articles focus on turbo equalization, low-complexity algorithms for underwater acoustic channels, and energy-efficient IoT protocols. He has led projects in EU initiatives (e.g., Mast AIDA, MarTERA Bioglider) and DGA collaborations.

Carlo Patronoمشاهده پروفایل

استاد

• Nonsteroidal antiinflammatory drugs
• Antiplatelet drugs
• Clinical pharmacology
• +۱ مورد دیگر

Carlo Patrono is a distinguished Professor and Chair of Pharmacology at the Catholic University School of Medicine in Rome, a position he has held since 2007. Previously, he served as Professor of Pharmacology at University of Rome 'La Sapienza' 2nd School of Medicine (2001-2006) and University of Chieti 'G. d'Annunzio' School of Medicine (1991-2001). His academic journey began as Assistant Professor at Catholic University School of Medicine (1972-1982), progressing to Associate Professor (1983-1985). Dr. Patrono earned his M.D. Cum Laude from Catholic University School of Medicine, Rome in 1968, following a B.S. in Arts from Liceo Classico Nazareno in 1962. He completed postdoctoral training at Bronx Veterans Administration Hospital and Mount Sinai School of Medicine, New York (1969-1971). His research focuses on nonsteroidal antiinflammatory drugs , antiplatelet drugs , clinical pharmacology , and arachidonic acid metabolism , with significant contributions to understanding cardiovascular pharmacology and platelet function. His work has particular relevance to aspirin therapy and antithrombotic agents. Dr. Patrono has received numerous prestigious awards including the Grand Prize from Fondation Lefoulon-Delalande (2013), the John Vane Award from University of London (2007), and the International Aspirin® Senior Award from Bayer AG (1998). His scholarly impact is reflected in his editorial roles with major journals including Circulation and Arteriosclerosis, Thrombosis and Vascular Biology. As an active researcher, he serves as Principal Investigator for multiple funded projects including studies on antiplatelet effects of aspirin in diabetes patients, funded by Bayer HealthCare AG. He also contributes to European Commission initiatives like the EICOSANOX program investigating eicosanoids and nitric oxide in cardiovascular diseases. Within his institution, Dr. Patrono chairs the Drug Therapy Committee and serves on the Ethics Committee at Catholic University School of Medicine, Rome. He is also a member of the Board of Directors for the Center for Aging Sciences at G. d'Annunzio University Foundation.

• Wireless Networks
• Telecommunications
• Stochastic Analysis
• +۳ مورد دیگر

Udo Schilcher is a researcher affiliated with the University of Klagenfurt’s Institute for Networked and Embedded Systems, part of the Faculty of Technical Sciences. His primary research focuses on wireless networks, telecommunications, and stochastic analysis, with particular emphasis on swarmalator systems, pulse-coupled oscillators, and network performance optimization. He contributes to the Information Technology Curricular Commission, shaping academic standards in his field. His work explores topics like LoRa network energy efficiency, interference dynamics in wireless systems, and self-organizing synchronization mechanisms. Schilcher’s publications span over a decade, addressing theoretical and applied challenges in IoT, network reliability, and adaptive systems. His research often bridges mathematical modeling with real-world applications in communication systems and smart infrastructure. Recent projects involve collaborative efforts on IoT applications, including LoRa network enhancements and cooperative relaying strategies. His interdisciplinary approach combines stochastic processes with engineering principles to address complex network challenges. Schilcher’s contributions to academic curricula and technical research highlight his role as both an educator and innovator in networked systems.

Henryk Richterمشاهده پروفایل

پژوهشگر

• Data Compression
• Image and Video Coding
• Real-Time Video Codecs
• +۳ مورد دیگر

Dr.-Ing. Henryk Richter is a postdoctoral scientific assistant at the University of Rostock, affiliated with the Communications Engineering research group. His work spans multimedia engineering, focusing on video coding and real-time systems. Education : PhD in Electrical Engineering from University of Rostock (2006), thesis on cross-standard video decoding concepts. Research Interests : Data compression, image/video coding, multistandard video decompression, and real-time signal processing. Publications : 15 most recent articles (2005–2024) highlight advancements in video codecs, biomedical signal processing, and hardware optimization. Contact : henryk.richter@uni-rostock.de

Adam Maricelمشاهده پروفایل

استاد

• Electrical Engineering
• Power Systems
• Power Electronics
• +۷ مورد دیگر

Prof. Adam Maricel is a Professor at the Department of Electrical Engineering, Faculty of Electrical Engineering, Technical University of Iasi. His research focuses on electrical equipment monitoring, power electronics applications (e.g., FACTS devices), thermal stress analysis, and railway electric traction systems. He specializes in infrared thermography, condition monitoring, and smart grid technologies. His work addresses challenges in circuit breaker diagnostics, renewable energy integration, and fault detection in power systems. He has pioneered methods for non-intrusive load monitoring, wireless communication in electrical equipment, and vibration analysis for mechanical health assessment. Recent publications (2023–2024) highlight innovations in BLDC motor optimization, SAW sensor networks, and biomedical applications of nanostructured devices. His research bridges electrical engineering with biomedical engineering through interdisciplinary projects like protein filtration for neurodegenerative disease treatment. No scientific awards are listed, though his extensive publication record reflects sustained contributions to the field. He coordinates research projects involving railway infrastructure, substation automation, and renewable energy systems integration.

• Cloud Computing
• Internet of Things (IoT)
• Semantic Web
• +۳ مورد دیگر

Euripides Petrakis is a Professor at the School of Electrical and Computer Engineering of the Technical University of Crete (TUC), serving as Director of the Intelligent Systems Laboratory since 2006. He holds a B.Sc. in Physics from National University of Athens (1985) and a Ph.D. in Computer Science from University of Crete (1993). His research focuses on cloud computing, IoT, semantic web technologies, and image databases. Notable achievements include over 175 publications with a Google Scholar citation count exceeding 4000, attracting €2.5M in EU and Greek Government funding. Education: B.Sc. Physics (1985), Ph.D. Computer Science (1993) Research interests span: - Cloud computing and microservices orchestration - IoT security and interoperability - Semantic web ontologies for service descriptions - Edge computing architectures Recent work emphasizes Kubernetes scheduling optimizations, real-time video processing, and GDPR-compliant IoT frameworks. His group developed systems like TWIST, DeFog, and CLONE, addressing challenges in distributed systems and semantic interoperability. Awards: TUC Excellence Award (2022), AINA 2024 Best Paper Advising over 30 graduate students, Prof. Petrakis has coordinated 15+ research projects. His lab explores next-generation cloud-edge architectures and semantic web of things standards.