جست‌وجوی استاد و پژوهشگر

Jian Liمشاهده پروفایل

استاد

• Structural Health Monitoring
• Wireless Smart Sensor Networks
• System Identification and Model Updating
• +۲ مورد دیگر

Jian Li serves as Professor and Dean R. and Florence W. Frisbie Associate Chair of Graduate Studies in the Department of Civil, Environmental and Architectural Engineering (CEAE) at the University of Kansas School of Engineering. He joined KU in 2013 after completing his doctoral studies and has established himself as a leading researcher in structural engineering and infrastructure monitoring. Education: Ph.D. in Civil Engineering, University of Illinois at Urbana-Champaign, 2013 M.S. in Civil Engineering, Harbin Institute of Technology Shenzhen Graduate School, China, 2007 B.S. in Civil Engineering, Harbin Institute of Technology, China, 2005 Professor Li's research centers on Structural Health Monitoring, Wireless Smart Sensor Networks, System Identification, and Earthquake Impact Mitigation. His work integrates cutting-edge technologies like augmented reality, computer vision, and wireless sensor networks to enhance infrastructure safety. Key innovations include sensing skin technology for fatigue crack monitoring, constrained-layer dampers for vibration control, and seismic isolation systems for bridges. Analysis of his 2023-2025 publications reveals strong emphasis on computer vision for automated crack detection, wireless sensor networks for long-term bridge monitoring, and novel damping systems for seismic/wind resilience. His research bridges civil engineering with computer science through immersive learning tools and human-centered inspection methodologies. Scientific Awards: Fellow of the American Society of Civil Engineers (ASCE) As Associate Chair of Graduate Studies, Professor Li oversees CEAE's graduate programs including MS, MCE, MCM, and PhD degrees. His research is supported by multiple grants focusing on structural health monitoring, fatigue crack detection, and seismic resilience. He leads a dedicated research group developing field-deployable sensor systems and validation methodologies. Laboratory work centers on wireless skin sensor networks, computer vision inspection systems, and full-scale testing of structural components. Current projects include field validation of sensing skin on steel bridges, galvanizing process effects on steel structures, and distortion-induced fatigue crack characterization.

Lingyu Wangمشاهده پروفایل

استاد مدعو

• Cloud Security
• Network Security
• Software Security
• +۳ مورد دیگر

Lingyu Wang is an Affiliate Professor at the Concordia Institute for Information Systems Engineering, Concordia University. He holds a Ph.D. in Information Technology from George Mason University (2006). His research focuses on cloud security, SDN/NFV security, security metrics, network security, software security, and privacy preservation. Dr. Wang has published extensively on topics including differential privacy systems, proactive security policy enforcement in containers, and cross-cluster security models for edge-core environments. His work also addresses challenges in securing industrial systems like IEC 61850 substations and 5G networks, leveraging techniques such as state auditing and event monitoring. His recent articles emphasize balancing security with performance efficiency, such as optimizing anomaly detection while preserving privacy and developing tools for real-time inconsistency detection in NFV environments. He has contributed to frameworks like ProSAS for proactive security auditing and VinciDecoder for automated forensic reporting in cloud environments. Dr. Wang’s research bridges theoretical cybersecurity principles with practical applications in cloud infrastructure, emphasizing resilience against zero-day attacks and supply chain vulnerabilities. His work frequently integrates machine learning and deep learning for enhanced security analysis and tool development.

Ognjen Marjanovicمشاهده پروفایل

مدرس ارشد

• Model Predictive Control
• Power Systems
• Multi-Energy Systems
• +۲ مورد دیگر

Ognjen Marjanovic is a Senior Lecturer in Control Systems at the University of Manchester. His research focuses on optimal control of energy systems, robotics, and industrial processes, with particular emphasis on model predictive control applications. Research domains include: Energy Systems: Control of grid-scale storage, multi-energy coordination, and renewable integration Robotics: Swarm formation, underwater navigation, and nuclear inspection systems Industrial Control: Model predictive control for pharmaceutical and chemical processes Recent publications (2023-2025) demonstrate innovations in swarm robotics coordination algorithms, real-time energy storage modeling, and decentralized control of building energy systems. His work bridges theoretical control concepts with practical applications in power engineering and autonomous systems. He leads research projects on grid-scale storage interfacing and robotic inspection systems, and received the Manchester Doctoral College Award for collaborative robotics research.

• Ecology
• Evolutionary Biology
• Ecological Applications
• +۳ مورد دیگر

David Orme is an Advanced Research Fellow at the Department of Life Sciences (Silwood Park), Imperial College London, within the Faculty of Natural Sciences. His research focuses on ecological modeling and understanding biodiversity patterns through data-driven approaches. He collaborates on projects like the SAFE Project , Virtual Ecosystem model development, and the Lemontree Project for next-generation biosphere models. He leads the pyrealm package development for biosphere modeling frameworks. His work integrates field data from tropical rainforests in Borneo with advanced computational tools, such as the MAARU acoustic monitoring system. Research interests include ecosystem resilience, habitat fragmentation impacts, and zoonotic disease dynamics in wildlife. Key affiliations include the Georgina Mace Centre for the Living Planet and Silwood Park Campus. Publications emphasize ecosystem modeling, fungal symbiosis, and acoustic ecology, reflecting his focus on bridging empirical fieldwork with theoretical models. His contributions advance global conservation strategies through interdisciplinary approaches.

Ali Zamaniمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Imaging
• Antenna Design
• +۳ مورد دیگر

Dr. Ali Zamani is an Honorary Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on biomedical engineering, medical imaging, and electromagnetic systems. He holds a PhD in frequency-based microwave medical imaging from UQ (2018). His work combines antenna design, signal processing, and machine learning to develop innovative diagnostic tools for conditions like hepatic steatosis, stroke, and pulmonary edema. Key projects include the HepNet neural network for liver disease detection and a portable electromagnetic brain scanner for acute stroke diagnosis. Research interests span microwave medical imaging, wearable sensors, and electromagnetic tomography. His contributions include over 45 peer-reviewed publications and patents on medical imaging probes and systems. Collaborations involve interdisciplinary teams in biomedical engineering, electrical engineering, and clinical medicine. His recent publications highlight advancements in AI-driven diagnostics, non-invasive imaging techniques, and hardware innovations for clinical applications. He has pioneered electromagnetic systems for 3D head imaging and torso scanning, with emphasis on real-time and portable solutions.

Sarah Keithمشاهده پروفایل

مدرس ارشد

• Music Industry Studies
• Global Popular Culture
• Technocapitalism and Technology
• +۳ مورد دیگر

Dr. Sarah Keith is a Senior Lecturer in Media and Music at Macquarie University's Faculty of Arts. She holds additional roles as Faculty Representative for Macquarie University College, Academic Integrity Officer, and member of the University's Discipline Committee. Her research focuses on creative industries disruption, global popular culture, and music-technology intersections. Notable projects include studies on K-pop fandom's role in multicultural understanding and technological disruption's impact on Australian music creators. Education: Dr. Keith earned a Fellowship from the Higher Education Academy (FHEA). She also teaches at Kyung Hee University's Global Collaborative Summer School in Seoul. Her academic leadership includes serving as Departmental Director of Education (2022–2024). Research Themes: Her work explores AI's impact on K-pop, digital platforms in global fandom, and technocapitalist trends in music production. Recent grants include Australia-Korea Foundation funding (2016) for K-pop multiculturalism research and a Macquarie-University of Groningen collaboration (2024). Awards: She is a Fellow of the Higher Education Academy (FHEA). Media Engagements: Keith frequently comments on K-pop trends for outlets like ABC News and provides expert analysis on topics like AI in music and industry ethics. Teaching & Mentoring: Supervised numerous postgraduate students on topics such as global music cultures and digital media practices. Her pedagogical focus includes academic integrity in creative disciplines and innovative teaching methodologies.

Francesco Musumeciمشاهده پروفایل

دانشیار

• Machine-Learning-assisted networking
• Converged Space-Ground network infrastructure
• Energy-efficient communication networks
• +۳ مورد دیگر

Francesco Musumeci is an Associate Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano, Italy. He holds a PhD from the same institution (2013) and is a member of the BONSAI Lab. His research focuses on advanced telecommunication networks, including machine-learning-assisted systems, energy-efficient designs, and network resilience against disasters. He has co-authored over 130 peer-reviewed publications and received three Best Paper Awards at IEEE conferences. Education: PhD in Electronics, Information, and Bioengineering (Politecnico di Milano, 2013) Research Interests: Optical networking architectures and optimization Machine learning applications in network management Converged space-ground communication systems Cybersecurity in programmable networks (P4) Energy-efficient and disaster-resilient networks Publications Trends: Recent work emphasizes optical network innovation (e.g., hollow-core fibers), failure management via AI, and cost-effective design strategies. His articles span topics like federated learning for failure detection, filterless optical networks, and quantum communication integration. Awards: Three Best Paper Awards at IEEE-sponsored conferences Advising & Grants: Served as Associate/Guest Editor and Technical Programme Committee member for IEEE/OSA/Springer journals. Active in reviewing and conference organization. Advises on optical network automation, disaster resilience, and AI-driven network solutions. Labs & Teams: Leads research within the BONSAI Lab, focusing on cutting-edge networking technologies and collaborative projects with industry partners.

Benoit Baudryمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Blockchain Technology
• +۴ مورد دیگر

Benoit Baudry is a Professor in Software Technology at KTH Royal Institute of Technology (KTH) within the Digital Futures Faculty and Division of Theoretical Computer Science. He also holds a professorship at Université de Montréal. His research focuses on software diversity, testing, and reliable web-based applications, emphasizing experimental approaches using large-scale open-source systems. He leads the CHAINS project (supported by SSF) and holds a Wallenberg AI, Autonomous Systems and Software Program (WASP) research chair. Previously, he directed the CASTOR software research center (2018–2022) and led the DiverSE group at INRIA Rennes, France. Research Interests Baudry's work spans software supply chain security, blockchain node reliability, and production monitoring for test suite improvement. He explores techniques like N-version design for blockchain nodes, binary diversification for WebAssembly, and coverage-based debloating of Java dependencies. His methods emphasize collaboration with industry and empirical validation of software systems. Grants & Projects - CHAINS project (SSF-funded) - WASP research chair - Former leadership of CASTOR and DiverSE groups. Labs & Collaborations Affiliated with Digital Futures, a cross-disciplinary center at KTH collaborating with Stockholm University and RISE. His work addresses societal challenges via digital technology innovation.

Haibo Liمشاهده پروفایل

استاد

• Media Technology
• Digital Signal Processing
• Image and Video Compression
• +۵ مورد دیگر

Haibo Li is a Full Professor of Media Technology at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and Digital Futures Faculty. His roles include leading the Media Lab in MID, directing Master’s programs in Media Technology, and teaching courses like Generative AI for Media Technology and Video Technology. He holds a Technical Doctorate from Linköping University (1993) and received the Nordic Best PhD Thesis Award (1994) and Docent title in Image Coding (1997). Research focuses on digital media technologies, including image/video compression, human-computer interaction, and AI-driven media systems. He pioneered the Digital Media Lab at Umeå University and co-founded UCIT. His work spans blind image deblurring, thermal comfort sensing, and multimodal emotion recognition. Over 250 publications and six patents highlight contributions to multimedia, AI, and signal processing. Key projects include developing contactless thermal measurement systems for smart buildings, real-time gesture recognition for wearable devices, and advanced neural networks for image restoration. Awards include the Nordic Best Thesis and leadership in EU projects. He chairs conferences and actively participates in MPEG standardization efforts.

• Teaching Chinese as a Second Language
• Language Teaching Materials Development
• Online Language Education
• +۲ مورد دیگر

Chao Li is a Lecturer of Chinese at the Georgia Institute of Technology's School of Modern Languages, part of the Ivan Allen College of Liberal Arts. He has been with Georgia Tech since 2001, focusing on teaching Chinese language at all proficiency levels and co-directing the Chinese Language for Business and Technology (LBAT) Program since 2006. His expertise includes developing online Chinese language courses, creating multimedia content, and compiling grammatical notes for effective language learning materials. Chao Li holds a Master of Arts in International Relations from Beijing Institute of Foreign Affairs and a Bachelor of Arts in Economics and Chinese from Yunnan University, China. He is a key figure in advancing online Chinese language education at Georgia Tech, emphasizing the integration of technology into language pedagogy. His work bridges language instruction with business and technology contexts, reflecting his commitment to practical, industry-relevant language training. His professional contributions include pioneering efforts in online course development, particularly in designing interactive and adaptive learning environments. While no formal awards are listed, his role in shaping Georgia Tech's Chinese language program highlights his significant impact on language education innovation. Chao Li’s teaching philosophy centers on student engagement through culturally immersive and technologically enhanced methodologies.

Antonio de la Olivaمشاهده پروفایل

استاد

• 5G Networks
• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• +۴ مورد دیگر

Antonio de la Oliva is a Professor at the University Carlos III de Madrid, affiliated with the School of Engineering. His primary research focuses on advanced networking technologies, including 5G/6G, Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and mobile edge computing. He leads and contributes to major EU-funded projects such as 5G-CORAL, 5G-Transformer, and 5G-Crosshaul, which aim to integrate and optimize transport networks for industry verticals. He has supervised PhD students like Maria Isabel Sanchez Bueno (awarded UC3M's Special PhD Award) and Sergio Gonzalez Diaz. His work spans experimental evaluations of SDN-based service provisioning, network slicing, and deterministic communications for Industry 4.0. He actively engages in standardization efforts (e.g., IEEE 802.21, IETF) and collaborates with industry partners like Ericsson, Nokia, and Telecom Italia. His research also explores edge robotics, digital twins, and AI integration in networked systems. Key projects include developing the 5G-Crosshaul architecture for integrated fronthaul/backhaul networks and the SLICES-Madrid multi-domain TSN framework. He emphasizes practical applications in healthcare, emergency response, and industrial automation, leveraging edge-fog-cloud architectures.

Francesc Wilhelmiمشاهده پروفایل

استاد

• Wi-Fi Technologies
• Network Simulation
• Machine Learning
• +۳ مورد دیگر

Francesc Wilhelmi is a Tenure-Track Professor at Universitat Pompeu Fabra (UPF) and a Research Engineer at Nokia Bell Labs . He holds a Ph.D. in Information and Communication Technologies (2020) and an M.Sc. in Intelligent and Interactive Systems (2016), both from UPF. His research focuses on Wi-Fi technologies , machine learning , decentralized learning , and blockchain applications in telecommunications . He previously served as a researcher at CTTC and taught at UPF (2015–2020) and Universitat Oberta de Catalunya (2020–2022), specializing in networking courses. Key contributions include the Komondor wireless network simulator and standardization work at ITU-T , notably editing recommendation Y.3181 on Machine Learning Sandboxes. Active in FG-ML5G , organizing problem statements for the ITU AI/ML in 5G Challenge. Explores blockchain for O-RAN sharing and AI-driven spatial reuse in 5G/6G networks. His work bridges network simulation with machine learning to address challenges in dense wireless environments, emphasizing practical implementations and open-source tools.

Esther Mondragónمشاهده پروفایل

مدرس ارشد

• Computational Cognitive Neuroscience
• Bio-inspired Artificial Intelligence
• Reinforcement Learning
• +۱۵ مورد دیگر

Dr. Esther Mondragón is a Senior Lecturer in the Department of Computer Science at City St George's, University of London, within the School of Science and Technology. She is a member of CitAI (the Artificial Intelligence Research Centre at City) and directs the virtual Centre for Computational and Animal Learning Research. Her academic leadership includes serving as Chair of the School of Science and Technology Research Degrees Committee and former Director of the MSc in Artificial Intelligence. PhD Psychology, University of the Basque Country, Spain MSc Psychology, University of the Basque Country, Spain BSc Psychology, University of the Basque Country, Spain Dr. Mondragón is a computational cognitive neuroscientist whose research lies at the intersection of artificial intelligence and cognitive neuroscience. Her primary focus is on bio-inspired AI, particularly reinforcement learning models of cognition grounded in associative learning principles. She develops computational frameworks that bridge natural and artificial cognition, including influential models like the Double Error Dynamic Asymptote (DDA) and the Rescorla-Wagner Drift-Diffusion Model (RWDDM). Her work extends to deep learning integration, Hebbian learning, representational learning, and episodic memory in AI. She has also contributed to understanding perceptual learning, rule acquisition in animals, and timing mechanisms in conditioning. The 15 most recent publications reflect a strong trend in computational modeling of learning, with increasing integration of deep learning and neuro-inspired architectures. Her work spans theoretical cognitive science, applied AI, and software development for simulation. Key themes include associative mechanisms in representation, temporal modeling, and biologically plausible neural networks. She frequently collaborates with researchers like Eduardo Alonso and others across disciplines. Member, Spanish Society for Comparative Psychology (SEPC) Member, Cognitive Science Society International Affiliate, Pavlovian Society Member, Division 6: Society for Behavioral Neuroscience and Comparative Psychology, American Psychological Association (APA) Senior member, The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) Dr. Mondragón actively supervises PhD students including Corina Cătărău-Cotuțau, Alexander Dean, and Mpagi Kironde. She has supervised several to completion, such as Esther Mulwa, André Luzardo, and Niklas Kokkola. She has secured significant research funding as PI/Co-PI on projects like 'INDUSTRIAL PhD SCHOLARSHIP, BOSCH AASS' (£140,000, Innovate UK), 'DEEPSYNC: AUTOMATED VFX FOR VIDEO DUBBING' (£143,000, Innovate UK), and 'FREE ENERGY PRINCIPLE FOR ADAPTIVE COGNITIVE ARCHITECTURES' (£98,000, DSTL). She also serves as a reviewer for the US National Science Foundation, BBSRC, NCN Poland, and numerous high-impact journals. She directs the virtual Centre for Computational and Animal Learning Research, which fosters interdisciplinary collaboration among cognitive scientists, neuroscientists, biologists, mathematicians, and computer scientists. She also leads the Knowledge Graphs Interest Group at The Alan Turing Institute.

Bo Bernhardssonمشاهده پروفایل

استاد

• Automatic Control
• Control Theory
• Modeling and Control of Uncertain Systems
• +۱۷ مورد دیگر

Bo Bernhardsson is a Professor in Automatic Control at the Department of Automatic Control, Faculty of Engineering (LTH), Lund University. He has been a full-time professor at Lund since 2010, following a decade (2001–2010) as an Expert in Mobile System Design and Optimization at Ericsson. He is affiliated with major research initiatives including ELLIIT (Excellence Center in Information Technology), LCCC (Lund Center for Control of Complex Engineering Systems), and WASP-AS (Wallenberg AI, Autonomous Systems and Software research school), where he has played a leadership role since 2016. His research focuses on modeling and control of uncertain and large-scale systems, with applications spanning industrial automation, mobile communications, particle accelerators, biomedical systems, and navigation technologies. He integrates theoretical control methods with practical implementations, particularly under constraints such as communication limitations, noise, and delays. His recent publications reveal a strong trend in networked control, communication-constrained estimation, and optimization-based control design. The works span theoretical advances in signal estimation under SNR constraints, event-based and stochastic control, and practical applications like IMU-radio fusion for navigation and RF field control in particle accelerators. Keywords include Control Theory, Communication Systems, Optimization, Signal Processing, and Networked Control , with subfields such as encoder-decoder co-design, virtual antenna arrays, and dynamic programming for time-delay systems. PhD in Control, Lund University, 1992 Professor in Automatic Control, Lund University, since 1999 Expert, Mobile Systems, Ericsson, 2001–2010 Bo Bernhardsson has supervised over 20 PhD and licentiate students, including Jacob Bergstedt (immune system modeling), Anders Mannesson (navigation and radio), and Erik Johannesson (control under communication constraints). His research has been funded by major entities such as the European Spallation Source and the Wallenberg Foundation. He teaches advanced courses in Linear Systems, Convex Optimization, and Robust Control, and has contributed significantly to both academic and industrial advancements in control engineering. He leads and collaborates on interdisciplinary projects involving real-time control, autonomous systems, and machine learning, often in partnership with industry and international research centers. His work in the RobotLab at LTH and on cloud-based control systems highlights his engagement with emerging technologies.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Renan Guarese is a Postdoctoral Researcher in Human-Computer Interaction at KTH Royal Institute of Technology , Sweden, focusing on AR/VR applications for pharmaceutical manufacturing through the SMART Industry project with AstraZeneca. He holds a Ph.D. from RMIT (Australia) and M.Sc. from UFRGS (Brazil), with expertise in assistive technologies, situated data visualization, and accessibility. His roles include teaching assistant for courses like Advanced Graphics and Multimodal Interaction, and M.Sc. thesis supervision. He has over 10 years of academic experience across institutions like RMIT, Halmstad University, and UFRGS, with projects ranging from assistive AR for visually impaired individuals to educational AR platforms. Research Interests: Human-Computer Interaction (HCI), Augmented and Virtual Reality (AR/VR), assistive technologies, situated visualization, and accessibility design. He specializes in applications like sonified AR interfaces, industrial training, and empathy-building experiences for marginalized users. Awards: Best Doctoral Thesis (SVR 2024) Finalist, Cross-Reality Systems Competition (IEEE ISMAR 2023) Nomination for Best Paper Award (IEEE VR 2023) Latin American PhD Scholarship (ATN grant) Advising & Grants: Supervising 3 current M.Sc. theses (2025) and co-authoring grants focused on conversational AI in industrial training and predictive maintenance. His work bridges HCI with real-world industry needs, emphasizing accessibility and immersive solutions. Labs/Teams: Active in KTH's Digital Futures initiative and collaborates with AstraZeneca on pharmaceutical AR/VR applications. Engages in international conferences like IEEE VR, ISMAR, and CHI through peer reviewing, workshop organizing, and panel participation.