جست‌وجوی استاد و پژوهشگر

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Xue Yang is a Professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University's School of Electronic Information and Electrical Engineering. With an extensive publication record spanning from 2023 to 2026, Dr. Yang has established herself as a prominent researcher in multiple interdisciplinary fields at the intersection of computer science and practical applications. Dr. Yang's research interests span a wide spectrum of cutting-edge computational fields including Artificial Intelligence , Machine Learning , Quantum Computing , Image Processing , and Healthcare Applications of AI . Her work demonstrates a remarkable ability to bridge theoretical computer science with practical applications across diverse domains such as biomedical informatics, oceanography, and e-commerce. The interdisciplinary nature of her research is evident in publications that combine computer vision with medical applications, quantum computing with image processing, and machine learning with environmental monitoring. An analysis of Dr. Yang's recent publications reveals a strong focus on developing novel algorithms and computational frameworks that address complex real-world problems. Her work shows particular strength in generative models , feature learning architectures , and data-driven optimization approaches. The consistent publication output across multiple high-impact venues demonstrates sustained research productivity and influence in her fields of expertise. Exponential stability analysis for nonlinear systems Advanced machine learning architectures for biomedical applications Quantum-classical hybrid computing models Blockchain applications for network security Computer vision techniques for specialized imaging scenarios

• Remote Sensing
• Image Processing
• Multimedia Security
• +۷ مورد دیگر

Dr. Mohammad Awrangjeb is a Senior Lecturer at the School of Information and Communication Technology , Griffith University, with over 15 years of experience in academia and research. He holds a PhD from Monash University (2008) and has held academic positions at Federation University Australia (2014-15), Monash University (2012-13), and the University of Melbourne (2008-12). Education: PhD in Computer Science, Monash University (2008) MSc in Computer Science, National University of Singapore (2004) BSc (Engineering) in Computer Science, Bangladesh University of Engineering and Technology (2001) His research focuses on remote sensing data processing , including automated 3D city modeling, power line corridor monitoring, solar potential estimation on buildings, forest biomass estimation, hyperspectral image processing, multimedia security, EEG signal processing, and medical image analysis. He has co-authored over 80 publications and secured $435,000 in research funding, including an Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA, 2012-15) and grants from CRCSI and Griffith University. His work has been applied in environmental monitoring, energy planning, and infrastructure safety. Scientific Awards: Discovery Early Career Researcher Award (DECRA Fellow) (2012-2015) The Len Curtis Award (2017) Dean’s Highly Commended Certificate, Griffith Sciences (2020, 2019) He actively supervises PhD students in areas like hyperspectral imaging , forest biomass estimation , intrusion detection , and medical image segmentation . He serves on editorial boards and committees, including IEEE and the Remote Sensing and Photogrammetry Society, and has contributed to software development at CRCSI.

Yan Yanمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Multimedia
• +۱ مورد دیگر

Yan Yan is an Associate Professor at the University of Illinois at Chicago , affiliated with the Department of Computer Science. Her research spans Computer Vision , Machine Learning , and Multimedia with a focus on model optimization, interpretability, and diffusion-based techniques.

C.-C. (Jay) Kuoمشاهده پروفایل

استاد

• Multimedia Compression and Communication
• Multimedia Content Analysis
• Computer Vision
• +۳ مورد دیگر

Dr. C.-C. (Jay) Kuo is a Dean’s Professor in Electrical Engineering at the University of Southern California (USC) Viterbi School of Engineering, where he has been affiliated since 1989. He serves as Director of the Multimedia Communication Lab and has held editorial leadership roles, including Editor-in-Chief of the IEEE Transactions on Information Forensics and Security (2012–2014) and the Journal of Visual Communication and Image Representation (1997–2011). National Taiwan University (BS, 1980) Massachusetts Institute of Technology (MS, 1985; PhD, 1987) His research focuses on multimedia compression and communication , multimedia content analysis , and computer vision , with a career spanning over 30 years in academia. His work bridges theoretical advancements with practical applications in multimedia technologies. Dr. Kuo has received numerous accolades, including the Edward J. McCluskey Technical Achievement Award (2019) and the Taylor L. Booth Award (2016). He is recognized for excellence in teaching and research, with additional awards such as the Northrop Grumman Excellence in Teaching Award (2014) and the Okawa Foundation Research Award (2007). Edward J. McCluskey Technical Achievement Award (2019) Taylor L. Booth Award (2016) Northrop Junior Faculty Research Award (1994) Okawa Foundation Research Award (2007) Electronic Imaging Scientist of the Year Award (2010) As an educator, Dr. Kuo has guided 134 PhD students and supervised 25 postdoctoral research fellows. His contributions extend to professional communities, including serving as President of the Asia-Pacific Signal and Information Processing Association (APSIPA) in 2013–2014.

• Particle Physics
• Neutrino Physics
• Detector Development
• +۵ مورد دیگر

Dr. Marcin Ziembicki serves as an Assistant Professor at the Institute of Radioelectronics and Multimedia Technology within the Faculty of Electronics and Information Technology at Warsaw University of Technology. His research integrates experimental particle physics with advanced detector development, focusing on neutrino interactions and nuclear phenomena through major international collaborations. His primary research interests include: Neutrino oscillation physics and cross-section measurements Development of photomultiplier-based detection systems for water Cherenkov experiments Analysis of hadronic final states in deep-inelastic scattering Spin-dependent asymmetries in polarized targets Real-time FPGA-based data acquisition systems Recent publications demonstrate concentrated activity in T2K and Hyper-Kamiokande neutrino experiments, with significant contributions to oscillation parameter measurements, neutron capture studies in oxygen targets, and detector calibration techniques. His work spans theoretical modeling and hands-on hardware implementation, particularly in FPGA-based readout systems for particle detectors. With 168 publications and an h-index of 49 (Scopus), his experimental work has advanced precision measurements in neutrino physics. He has supervised 7 promoted theses and participated in 14 research projects, including the T2K Near Detector upgrade and Hyper-Kamiokande photosensor development. Dr. Ziembicki maintains active roles in the COMPASS spin physics collaboration and the AMBER experiment, where he develops specialized electronics for hadron spectroscopy. His technical expertise bridges particle physics with electrical engineering, particularly in signal processing and detector electronics design for high-radiation environments.

• 5G and 6G
• Network services chain
• SDN
• +۷ مورد دیگر

Jordi Mongay Batalla serves as Associate Professor in the Department of Computer Network and Services at Warsaw University of Technology's Faculty of Electronics and Information Technology, while concurrently holding the position of Deputy Director of Research at Poland's National Institute of Telecommunications. His professional influence extends to critical national and international advisory roles including technical membership in the European Blockchain Services Infrastructure, Polish Government adviser for 5G cybersecurity legislation, and technical adviser to the Ministry of Infrastructure for autonomous automotive systems. M.Sc. in Telecommunications Engineering (2000, Universitat Politecnica de Valencia) Ph.D. in Telecommunications (2009, Warsaw University of Technology) Habilitation in Telecommunications (2017, Warsaw University of Technology) His research program centers on next-generation network technologies with dual focus on infrastructure (5G/6G radio systems, O-RAN architectures, SDN/NFV) and applications (IoT ecosystems, Smart Cities, multimedia services). Recent work demonstrates expanding interdisciplinary reach into human-centric domains including metaverse applications for elderly populations and psychological aspects of technology adoption, reflecting his completion of postgraduate studies in psychology and social sciences. Methodologically, he integrates artificial intelligence techniques across wireless networking domains with particular emphasis on security and reliability. Analysis of recent publications (2023-2025) reveals three dominant research trajectories: (1) O-RAN optimization through machine learning-enhanced beamforming and security validation, (2) resilient UAV network architectures for disaster scenarios featuring novel clustering algorithms, and (3) IoT-cloud integration for healthcare and smart city applications. His work consistently addresses practical implementation challenges while maintaining strong connections to standardization efforts through ITU-T SG-12 and European regulatory frameworks. Dr. Mongay Batalla leads the Next Generation Mobile Networks Team at Warsaw University of Technology and has coordinated over 30 national/international research projects including four EU ICT Programme initiatives. His technology transfer activities span two patents (Polish and European) and active participation in the vINCI platform for clinically-validated assisted living solutions. As an IEEE Member since 2010, he maintains strong industry connections through roles in Polish normalization committees and international technical groups.

Takebumi Itagakiمشاهده پروفایل

مدرس ارشد

• Digital TV systems
• Digital Signal Processing
• Parallel Processing
• +۶ مورد دیگر

Dr. Takebumi Itagaki serves as a Senior Lecturer in Communications and Computer Technologies within the Electronic and Electrical Engineering Department at Brunel University London's College of Engineering, Design and Physical Sciences. He holds the position of Programme Manager for the Brunel-CQUPT Transnational Education program and serves as TNE-CQUPT Manager. His international research leadership is exemplified by his role as coordinator of the ITU-T Focus Group on Audio Visual Accessibility – Working Group D. Dr. Itagaki earned his academic credentials through a BEng from Waseda University (Japan), a Postgraduate Diploma from City University London, and a PhD in Engineering/Music from Durham University (UK) in 1998. His professional affiliations include membership in IEEE, IET, and the Audio Engineering Society. His research program spans digital television systems (DVB, ISDB), digital signal processing, parallel processing architectures, computer music, and computer architecture. Recent work demonstrates significant expansion into IoT applications for disaster management and healthcare analytics. His research methodology consistently bridges theoretical signal processing with practical implementation in broadcast and communication systems. Analysis of his publication record reveals an evolution from foundational work on transputer networks and granular synthesis in the 1990s to contemporary applications in digital television accessibility, mobile broadcast technologies, and IoT systems. His work maintains consistent focus on multimedia systems while adapting to emerging technological landscapes and societal needs. Dr. Itagaki has secured significant research funding through multiple EU projects including SAVANT (as prime contractor and administrative coordinator), INSTINCT (as project manager), and DTV4All (as coordinator). His current research portfolio includes ICT collaboration between China and Europe, with particular emphasis on IoT techniques for disaster prediction and climate change mitigation. His research group IEHS (Integrated Electronic Health Systems) works at the intersection of communication technologies and healthcare applications, developing systems for emergency response and medical diagnostics. The group's work on the Emergency TeleOrthoPaedics m-health system demonstrates practical implementation of wireless communication links for specialized medical care.

• Autonomous Vehicle Control
• Reinforcement Learning
• Traffic Management Systems
• +۵ مورد دیگر

Bécsi Tamás is an Associate Professor at the Department of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering, Budapest University of Technology and Economics. His academic career spans from PhD student (2002-2005) to Professor's Assistant (2005-2009), Senior Lecturer (2009-2014), and finally Associate Professor (2014-present). His research primarily focuses on autonomous vehicle control systems, reinforcement learning applications, and transportation automation across road, rail, and air domains. His research interests center on Autonomous Vehicle Control and Reinforcement Learning methodologies for transportation systems. Key areas include sensor fusion for automotive perception, motion planning algorithms, particle filtering techniques, and multi-agent traffic control systems. His work bridges theoretical control theory with practical implementations in vehicle mechatronics and transportation infrastructure. Analysis of his 15 most recent publications reveals a dominant focus on reinforcement learning applications (80% of works), particularly in autonomous driving (path planning, lane keeping) and traffic management (signal control, highway platooning). Recent trends show increasing integration of Rapidly-exploring Random Trees (RRT) with RL, particle filtering innovations for localization, and multi-object tracking advancements for automotive perception systems. His research maintains strong connections to real-world validation through field tests and industrial collaborations. His academic journey includes an MSc in Transportation Engineering (2002) and PhD (2008) from BUTE. Teaching responsibilities cover Computing Science I-II and Control Theory I-II courses, alongside specialized Erasmus programs in Intelligent Solutions in Transportation and Transportation Automation Research Techniques.

Holger Meyerمشاهده پروفایل

استاد

• Databases
• Digital Libraries
• Information Retrieval
• +۵ مورد دیگر

Dr. Holger Meyer is a faculty member at the University of Rostock's Faculty of Computer Science and Electrical Engineering, specifically in the Institute of Computer Science. He is based at the Konrad Zuse House on Albert-Einstein-Straße 22, Room 332, and can be reached at phone number 0381-498 7597 or via email at hme@informatik.uni-rostock.de. Dr. Meyer teaches a variety of database-related courses including Database Application Programming (Bachelor), Databases for Users (Bachelor), Databases III (Master), and Digital Libraries and Multimedia Information Retrieval (Master). He also supervises projects under KSWS/Project/NEidI. His research focuses on database systems, digital libraries, information retrieval, data science, and XML database technologies. Dr. Meyer has made significant contributions to the development of digital archive systems, particularly through the Hydra.PowerGraph System, which enables building digital archives with directed and typed hypergraphs. His work also extends to applying crowdsourcing techniques in cultural heritage projects like the Mecklenburg Field Name Archive and developing SQL-based approaches for machine learning and signal processing tasks. Dr. Meyer's recent publications (2017-2019) demonstrate a strong emphasis on practical applications of database technologies across diverse domains including environmental monitoring (particulate matter analysis), automotive engineering, digital humanities, and historical geography. His work bridges theoretical database concepts with real-world applications, particularly through SQL-based implementations of machine learning operations and signal processing techniques. Throughout his career, Dr. Meyer has collaborated extensively with colleagues at the University of Rostock, particularly with Professor Andreas Heuer, Meike Klettke, and other researchers in the database and information systems group. These collaborations have resulted in numerous publications in prestigious venues including Datenbank-Spektrum, LNI proceedings, and international conferences.

• Electromagnetic Fields
• Antenna Design and Diagnosis
• Microwave Imaging
• +۶ مورد دیگر

Andrea Randazzo is a Full Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. Specializing in Electromagnetic Fields (IINF-02/A), he teaches multiple courses including Antennas, Electromagnetic Fields, and Electromagnetic Monitoring Techniques across various engineering programs such as Internet and Multimedia Engineering, Electronic Engineering, and Engineering for Natural Risk Management. Professor Randazzo's research spans several interconnected domains within electromagnetic theory and applications: Antenna Systems : Specializing in antenna array diagnosis, fault detection, and advanced antenna engineering Medical Applications : Developing microwave-based techniques for stroke detection and monitoring, particularly for pediatric patients Remote Sensing : Applying FMCW radar technology for sea wave dynamics, coastal monitoring, and hydrological sensing Nondestructive Testing : Creating microwave imaging methods for plant diagnostics and structural monitoring Mathematical Methods : Innovating in inverse scattering problems using Lebesgue-space approaches and data-driven inversion techniques His publication record demonstrates a clear trajectory toward increasingly sophisticated data-driven approaches to electromagnetic imaging, with recent work emphasizing machine learning integration, particularly CNNs for antenna array diagnosis. A significant portion of his research focuses on medical applications, especially stroke detection using microwave technologies, showing consistent development from theoretical approaches to practical implementations and numerical assessments. His work bridges theoretical electromagnetic theory with practical applications across healthcare, environmental monitoring, and industrial processes. Professor Randazzo has supervised numerous academic projects reflected in his extensive teaching portfolio across multiple engineering programs. His research likely involves collaboration with medical institutions given the healthcare-focused applications of his work, though specific grant information is not provided in the available materials. His laboratory work appears to focus on electromagnetic sensing and imaging systems, with particular emphasis on developing practical implementations of theoretical approaches, as evidenced by projects involving low-cost FMCW radar sensors and microwave moisture content sensors for food industry applications.

Reemt Hinrichsمشاهده پروفایل

پژوهشگر

• Signal Coding
• Cochlear Implants
• Digital Signal Processing
• +۳ مورد دیگر

Reemt Hinrichs is a researcher at the Institute for Information Processing (TNT) at Leibniz University Hannover, where he focuses on signal processing applications across biomedical engineering, audio technology, and structural health monitoring. He completed his Dr.-Ing. (PhD) at TNT in 2023 after working as a research assistant since January 2018. Dr. Hinrichs earned his Master's Degree in Mechatronics from Leibniz University Hannover in May 2017, completing his thesis on "System-theoretical modeling of a structural sound signal path" at the Institute for Information Processing. His academic journey reflects a consistent focus on signal processing theory applied to practical engineering challenges. His primary research interests center around Signal Coding , particularly for Cochlear Implants , along with broader expertise in Digital Signal Processing and Nonlinear System Theory . His work spans multiple application domains including biomedical engineering (cochlear implants), audio processing (guitar effects modeling), and structural health monitoring (acoustic emissions analysis for infrastructure). Dr. Hinrichs' publication record demonstrates a strong focus on compression algorithms for cochlear implants, with numerous papers on neural network-based approaches for zero-delay compression of electrical stimulation patterns. He has also made significant contributions to guitar effects modeling using convolutional neural networks and structural health monitoring through acoustic emission analysis. His research bridges theoretical signal processing with practical applications across diverse domains, showing particular strength in applying deep learning techniques to specialized signal processing challenges. With approximately 60 theses supervised, Dr. Hinrichs has been actively involved in mentoring students across various research topics including cochlear implant technology, structural modeling, and audio signal processing. His supervision portfolio includes work on nonlinear prediction of electrode excitation patterns, geometry-dependent modeling of transfer functions, and automatic extraction of guitar effects. His current research focuses on "deep learning models for the compression of electrode excitation patterns of cochlear implants," continuing his long-standing expertise in this specialized area of biomedical signal processing while expanding into new applications of neural network architectures for real-time signal compression.

• Digital Communications
• Wireless Communications
• Satellite Communications
• +۵ مورد دیگر

Amina Piemontese is an Associate Professor at the Department of Engineering and Architecture, University of Parma, Italy. She teaches courses in Communication Engineering across multiple programs including Master's Degree in Communication Engineering, Bachelor's Degree in Computer, Electronics and Telecommunications Engineering, and Management Engineering for academic years spanning from 2020/2021 through 2025/2026. Professor Piemontese's research focuses on advanced communication theory and signal processing with particular expertise in phase noise channels , non-terrestrial networks , and advanced modulation techniques . Her work bridges theoretical communication principles with practical implementations for next-generation wireless systems, especially in satellite communications and 5G/6G networks. She has made significant contributions to expectation propagation algorithms for channel detection and spiral constellation design for nonlinear channels, with numerous publications exploring these topics in depth. Analysis of Professor Piemontese's recent publications reveals a strong and evolving research trajectory focused on non-terrestrial networks and satellite communications for 6G applications. Her work increasingly explores OTFS modulation as a solution for multi-satellite systems and addresses critical challenges in spectrum sharing between terrestrial and satellite networks. A consistent thread throughout her research is the application of statistical signal processing techniques, particularly expectation propagation , to solve complex communication problems in challenging channel conditions where traditional approaches fail. Professor Piemontese serves as a reference teacher for the Master's Degree in Communication Engineering across multiple academic years and teaches specialized courses including Communication Fundamentals, Elements of Digital Communications, and Internet and Multimedia. While specific grant information isn't provided in the available text, her extensive research output suggests involvement in European or national research projects focused on next-generation wireless communications and satellite systems. Her work on unified software-defined radio frameworks for flexible waveform design indicates leadership in developing practical implementations for emerging communication standards.

• Haptics
• Culinary Arts
• Industrial Design
• +۷ مورد دیگر

Cheryl Akner-Koler is a Researcher at Konstfack University of Arts, Craft and Design , specializing in interdisciplinary design research that bridges Industrial Design , Culinary Arts , and Haptic Perception . She collaborates with institutions like Örebro University's School of Hospitality, Culinary Arts & Meal Science to explore sensory design applications. Key research areas: Haptics , Multi-sensory Design , Culinary Aesthetics , and Inclusive Technology . Co-developed the HAPTICA project (funded by the Swedish Research Council 2016–2019) to integrate tactile, taste, and somatic experiences across disciplines. Invented tactile aids (Distime, Monitor, Ready-Ride) for deafblind individuals, focusing on environmental perception and mobility. Recent work includes haptic attribute modeling for hybrid food design communities and anticipative co-creation methods for sustainable futures. Her publications span journals like The International Journal of Food Design and conferences such as E&PDE.

• Artificial intelligence
• Computer vision and pattern recognition
• Deep learning
• +۵ مورد دیگر

Diego Valsesia is a Fixed-Term Researcher at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. His work focuses on deep learning and artificial intelligence, particularly in image and signal processing applications. Research Interests: Computer vision, remote sensing, generative models, neural radiance fields, and satellite image super-resolution Teaching: Course instructor for adversarial training of neural networks and collaborator in machine learning courses across Electrical, Electronics, and Communications Engineering programs His research has led to competitive projects like LICAM (AI-powered LiDAR fusion for smartphone cameras) and national PRIN grants. He supervises PhD students in multi-modal image processing and onboard satellite AI. Recent publications highlight trends in neural implicit representations, multi-image super-resolution, and self-supervised learning for satellite systems. His work bridges theoretical advancements with practical applications in remote sensing and 3D vision. Scientific Recognitions: Outstanding Editorial Board Member, IEEE Transactions on Image Processing (2023) Best Paper Awards at IEEE ICIP 2019, IEEE Multimedia (2020) Proba-V Superresolution Challenge (2019), MMSP Workshop (2013) He co-developed multiple international patents for camera identification and image processing, and serves as Associate Editor for IEEE Transactions on Image Processing.

Michał Janochaمشاهده پروفایل

استادیار

• Composition
• Electroacoustic Music
• Algorithmic Composition
• +۵ مورد دیگر

Michał Janocha serves as an Assistant Professor at the Institute of Composition and Music Theory, I.J. Paderewski Academy of Music in Poznań. He is actively engaged with the Electroacoustic Music Studio (SMEAMuz Poznań), the Polish Society for Electroacoustic Music, and the Polish Composers’ Union. As co-founder of both the Poznań Laptop Orchestra λ-ensemble and the Trans-for-Matha Ensemble, he drives innovation in contemporary music performance and creation across Europe and the United States. He earned his doctorate from the I.J. Paderewski Academy of Music in Poznań in 2019, establishing his foundation in advanced compositional techniques and music theory. Janocha's creative research centers on electroacoustic and algorithmic composition , where he pioneers the integration of live electronics , spatial audio , and everyday technology (smartphones, sensors) into musical practice. His work explores 5-dimensional sound geometry and domestic music-making through laptops, bridging traditional composition with cutting-edge digital interfaces. This manifests in diverse output—from chamber orchestral works to interactive installations—characterized by real-time processing, audience participation, and hybrid acoustic-electronic textures that redefine contemporary music boundaries. His publication trends reveal a decisive shift toward interactive spatial audio systems and algorithmic processes since 2019, with increasing focus on smartphone-based performance ( Five roots ), tactile interfaces ( Tactile thresholds ), and political multimedia narratives ( POLSKA 2020 ). The fusion of Polish musical identity with global new music practices remains a consistent thread across his electroacoustic tape works, laptop orchestra compositions, and video-operas. Janocha leads significant creative collectives including the Poznań Laptop Orchestra λ-ensemble—which specializes in networked computer music—and the Trans-for-Matha Ensemble dedicated to premiering new works. Through SMEAMuz Poznań, he contributes to Poland’s electroacoustic music infrastructure while collaborating with major institutions like the Poznań Philharmonic and international festivals including Warsaw Autumn and CAFe Budapest.