جست‌وجوی استاد و پژوهشگر

Vitaveska Lanfranchiمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Social Media
• Visual Analytics
• +۳ مورد دیگر

Vitaveska Lanfranchi is a Senior Research Fellow at the University of Sheffield , School of Computer Science, focusing on Human-Computer Interaction , Social Media , and Visual Analytics . Her work addresses real-time data analysis for emergency response and knowledge management, with projects funded by EPSRC, UK/SBRI, and EU Framework 6. Research Interests : Human-Computer Interaction Social Media for Emergency Response Visual Analytics Knowledge Management Mobile Interaction Recent publications (2008–2012) explore semantic user networks, knowledge dashboards, hybrid search techniques, and AI usability, particularly in aerospace engineering and emergency response. Projects like Randms and WeKnowIt emphasize collective intelligence and web-scale data analysis. Contact : v.lanfranchi@dcs.shef.ac.uk

• Computer Architecture
• Hardware Design
• Signal Processing
• +۷ مورد دیگر

Prof. Dr.-Ing. Holger Blume serves as Vice President for Research and Transfer at Leibniz University Hannover while maintaining his academic position as Professor in the Architectures and Systems Section within the Faculty of Electrical Engineering and Computer Science. He holds multiple leadership positions including Chairperson of the Research Commission and Central Ethics Committee, Executive Board member of eNIFE (Leibniz Research Initiative for Neurosciences), and membership in both the Laboratory of Nano and Quantum Engineering and L3S Research Centre. His research interests span computer architecture, hardware design, signal processing, AI accelerators, hearing aid technology, and biomedical engineering. His work bridges theoretical computer science with practical applications in automotive systems, medical devices, and quantum engineering. Professor Blume's research demonstrates strong interdisciplinary connections between electrical engineering, computer science, and biomedical applications, with particular emphasis on hardware-oriented solutions for real-world problems. Analysis of his recent publications (2023-2025) reveals a strong focus on hardware acceleration for AI and signal processing applications, particularly in automotive radar/LiDAR systems and hearing aid technology. His work shows consistent innovation in RISC-V processor design, specialized hardware for mathematical functions, and biomedical applications of engineering principles. The research demonstrates a clear trajectory toward energy-efficient, specialized computing architectures for specific application domains. As Vice President for Research and Transfer, Professor Blume oversees significant research initiatives at Leibniz University Hannover, which hosts multiple Clusters of Excellence including PhoenixD (Photonics, Optics, and Engineering), QuantumFrontiers, and Hearing4all. The university participates in numerous collaborative research centers and junior research groups funded by DFG, BMBF, and EU programs. Professor Blume is actively involved in multiple research facilities including the Laboratory of Nano and Quantum Engineering and the L3S Research Centre. His work connects with Leibniz University's research focuses on optical technologies, quantum optics and gravitational physics, and biomedical research and technology. His leadership positions indicate strong involvement in shaping the research strategy and ethical framework of the university's scientific endeavors.

Collin F. Lynchمشاهده پروفایل

دانشیار

• Intelligent Tutoring Systems
• Adaptive Educational Technologies
• Argument Mining
• +۵ مورد دیگر

Collin F. Lynch is an Associate Professor in the Department of Computer Science at North Carolina State University, specializing in intelligent tutoring systems and adaptive educational technologies. His research addresses complex domains like scientific writing, law, and software development through AI integration. Education Ph.D. in Intelligent Systems (2014), University of Pittsburgh M.S. in Intelligent Systems (2011), University of Pittsburgh B.A. in Cognitive Science and Artificial Intelligence (2000), Hampshire College Research Focus Lynch's work combines artificial intelligence, learning science, and human-computer interaction. Key areas include: Argument mining and natural language processing Real-time classroom support for writing-to-learn Student modeling and hint generation Embodied cognitive agents in collaborative learning Social network impacts on education Grant Leadership Validating Automated Measures of Student Writing (2021-2026, $634,620, IES) RET Site: Socially Relevant Computing (2021-2025, $598,913, NSF) IGE: Learning the Entire Pipeline (2021-2024, $332,184, NSF) FLECKS: Collaborative CS Learning (2017-2023, $1,399,088, NSF) Integrated Teaching Platforms (2018-2022, $597,529, NSF) Evaluation for Actionable Change (2016-2021, $799,837, NSF) His projects often involve interdisciplinary collaboration and address challenges in blended learning environments, data-driven educational interventions, and socially relevant computing.

• mmWave Antennas
• Beam-Steering
• MMIC Design
• +۷ مورد دیگر

Artem Vilenskiy is a researcher in the Antenna Systems group at Chalmers University of Technology since 2019. His work focuses on developing active integrated array antenna concepts, 100+ GHz beam-steerable antennas and circuits, MMIC design, computational electromagnetics methods for radiation and scattering problems, and collaboration with Chalmers industrial partners. His educational background includes: MSc Degree (Specialist) in Electrical Engineering from Bauman Moscow State Technical University (BMSTU) in 2011 PhD Degree (Eng.) in "Antennas, Microwave Devices and Its Technology" from BMSTU in 2014 Dr. Vilenskiy's research spans multiple cutting-edge areas in microwave and antenna engineering, with particular emphasis on millimeter-wave and sub-THz frequency ranges. He specializes in reconfigurable intelligent surfaces (RIS), beam-steering technologies, and integrated antenna solutions for next-generation wireless communication systems. His work bridges theoretical electromagnetics with practical implementation challenges, often involving close collaboration with industry to address real-world telecommunications and radar applications. His expertise encompasses both novel antenna architecture design and associated microwave integrated circuits, with significant contributions to mmWave phased arrays and wireless power transfer systems. Analysis of his recent publications reveals a strong and consistent focus on millimeter-wave antenna systems, particularly in developing reconfigurable intelligent surfaces for 5G/6G applications, advanced beamforming techniques, and innovative antenna array architectures. His research spans frequencies from W-band (75-110 GHz) into the sub-THz range, addressing critical challenges in high-frequency wireless communication systems. The publications demonstrate a consistent emphasis on practical implementation, with many papers detailing circuit models, measurement techniques, and experimental validation of theoretical concepts across multiple application domains including satellite communications, wireless backhaul, and quantum computing interfaces. Dr. Vilenskiy has been actively involved in multiple significant research projects: Low-Thermal-Conductance and High-Density Microwave Interconnects for Cryogenic Quantum Computers (2024-2025) Energy Efficient, Beamforming Antenna-IC Integration Solutions for Future 100+GHz Telecommunication Systems (2021-2023) Antenna technologies for beyond 5G Wireless Communication (2020-2025) MyWave - Efficient Millimetre-Wave Communications for mobile users (2019-2023) Integrated Antenna Arrays (2016-2023) Prior to joining Chalmers, Dr. Vilenskiy worked at Samsung Research Institute Russia from 2011-2019 in various engineering roles including research engineer, expert engineer, and project leader. During 2015-2019, he also held a part-time Associate Professor position at BMSTU where he coordinated the MSc course "Applied Electrodynamics of Composite Media". His industry experience in mobile communication, automotive radar, robotics, and wireless power transfer provides valuable practical insights that complement his academic research in antenna systems.

Raine Viitalaمشاهده پروفایل

استادیار

• Mechanical Engineering
• Electromagnetic Analysis
• Vibration Analysis
• +۲ مورد دیگر

Raine Viitala is an Assistant Professor at Aalto University's Department of Energy and Mechanical Engineering. His research focuses on mechanical vibration analysis, electromagnetic influence in rotating systems, and sustainable energy management in industrial applications. Aalto University Department of Energy and Mechanical Engineering His work spans mechanical engineering , fluid dynamics , and machine learning applications . Recent publications address torsional vibration modeling, aerostatic bearing design, and AI integration in pulp & paper industry energy systems. Viitala's research trends include digital twin technology for collaborative design, eddy current sensing for tool monitoring, and nonlinear damping solutions for mechanical systems.

Amr Omarمشاهده پروفایل

پژوهشگر

• Solar Thermal Systems
• Desalination Processes
• Water Treatment Technologies
• +۴ مورد دیگر

Dr. Amr Omar is a researcher at the University of New South Wales , affiliated with the School of Mechanical and Manufacturing Engineering and Department of Chemical Engineering. His work focuses on integrating renewable energy systems—particularly solar thermal technology—with advanced water treatment processes to address global sustainability challenges. PhD in Solar Thermal Systems & Desalination (UNSW, 2017-2020) Postdoctoral Researcher (UNSW Chemical Engineering, 2020-2023) Omar specializes in decarbonizing water processes through solar-driven membrane distillation , multi-effect distillation , and hydrogen production cooling systems . His research bridges laboratory innovation with real-world applications, targeting United Nations' SDG6 (Clean Water) and SDG7 (Affordable Clean Energy). Recent publications emphasize techno-economic modeling of hybrid solar-desalination systems, machine learning applications for water filtration optimization, and geospatial analyses of global desalination site feasibility. Key projects include developing hollow fiber vacuum membrane distillation modules and improving flocculant strength assessment for water catchment monitoring. Scientific Recognition : 2022 Malcolm Chaikin Prize for Research Excellence 2020 UNSW Postgraduate Council Research Student Award 2020 3MT Competition Winner (School of Mechanical & Manufacturing Engineering) 2017 Australian Postgraduate Award Scholarship Omar actively supervises PhD and Master’s projects related to solar-driven water treatment and green hydrogen development. He serves as a journal reviewer and conference panel member, advocating for nanobubble technologies in agricultural irrigation systems.

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +۶ مورد دیگر

Ayşenur Akyüz Birtürk serves as a Lecturer in the Department of Computer Engineering at Middle East Technical University (METU), Ankara, where she has taught since February 1994. Her academic career spans foundational programming courses to advanced graduate seminars in AI and Computational Linguistics, reflecting 30+ years of institutional commitment. She earned all her degrees from METU, culminating in a 1998 Ph.D. focused on Turkish language computational analysis. Her educational journey includes: B.S. in Computer Engineering (1985) M.S. in Computer Engineering (1988) with thesis on “A Model for Representing Concepts: Conceptual Dependency Theory” Ph.D. in Computer Engineering (1998) with thesis on “A Computational Analysis of Turkish using the Government-Binding Approach” Dr. Birtürk’s research centers on Artificial Intelligence and Natural Language Processing , with pioneering work in Turkish language parsing evolving into modern Recommender Systems . She integrates semantic relations and multi-domain data to build hybrid engines for movies, books, and music, emphasizing user modeling through knowledge representation and data mining techniques. Analysis of her 2010-2015 publications reveals two dominant threads: adaptive recommender systems (80% of output) using semantic similarity and dynamic clustering, and renewable energy analytics (20%) applying machine learning to wind/hydrological data. This pivot from NLP to energy forecasting demonstrates methodological versatility while maintaining core AI expertise. Her scientific recognition includes: TUBITAK scholarships throughout education (1977-1988) Multiple national contest awards in high school (1979-1980) Leadership in TUBITAK-funded energy and healthcare projects Dr. Birtürk has supervised 17 Master’s theses in NLP and recommender systems while securing competitive grants including METU-ISTEC #17435 (2006-2008; 504,000 YTL) and HASAT (2010-2013; 601,637 YTL). Her industry consultancy spans medical form design (FormAnalitik), question-answering systems, and retail intelligence platforms, translating academic research into real-world tools.

Sinead O'Keeffeمشاهده پروفایل

پژوهشگر ارشد

• Radiation Dosimetry
• Optical Fiber Sensors
• Brachytherapy
• +۴ مورد دیگر

Sinead O'Keeffe is a Research Fellow at the University of Limerick in the Faculty of Science and Engineering , specifically within the Department of Electronic and Computer Engineering . Her research bridges the technical domain of optical fiber sensor development with critical applications in radiation therapy and sports medicine. Primary Research Themes Medical radiation dosimetry using optical fiber sensors Brachytherapy dose monitoring systems Sports injury prevention in Gaelic football and running Mental health literacy in rural farming communities Key Technical Contributions Development of scintillation-based dosimeters Characterization of perfluorinated polymer fibers 3D printed sensor systems for clinical and rehabilitation applications Interdisciplinary Applications Prostate cancer radiotherapy dose measurement Mental health intervention programs for athletes Work-family conflict analysis in Irish farming Email: sinead.okeeffe@ul.ie

Koray Aydinمشاهده پروفایل

دانشیار

• Nanophotonics
• Optical Metamaterials
• Plasmonics
• +۶ مورد دیگر

Koray Aydin is an Associate Professor in the Electrical and Computer Engineering department at Northwestern University 's McCormick School of Engineering. His research focuses on nanophotonics , optical metamaterials , and inverse design of photonic devices. PhD in Physics, Bilkent University MS and BS in Physics, Bilkent University The Metamaterials and Nanophotonic Devices Lab (MNDL) explores light-matter interactions at the nanoscale. Key research areas include: Plasmonic materials and devices for absorption engineering Metasurfaces for subwavelength light control Two-dimensional materials in optoelectronics 3D printing of millimeter-wave and optical metadevices Hybrid and tunable nanophotonic systems Dynamic metamaterials via self-assembly His publications highlight inverse design methodologies, DNA-assembled metasurfaces , and active nanophotonic materials . Collaborations with Chad Mirkin, Vinayak Dravid, and Prem Kumar have led to breakthroughs in scalable photonic systems and programmable metamaterials. Current efforts in MNDL aim to integrate machine learning with nanophotonic device design, enabling non-intuitive geometries and ultra-compact optical components with applications in telecommunications, defense, and consumer electronics.

Jürgen Hesserمشاهده پروفایل

استاد

• Medical Imaging
• Computational Oncology
• Inverse Problems in Science
• +۷ مورد دیگر

Jürgen Hesser is a Professor at the Mannheim Medical Faculty , Heidelberg University, specializing in Experimental Radiotherapy and Medical Imaging . His research focuses on solving inverse problems in imaging, particularly for CT reconstruction , brachytherapy planning , and low-dose imaging . Current affiliations: Clinic for Radiotherapy and Radiooncology, Mannheim University Hospital Collaborative ties: Interdisciplinary Center for Scientific Computing (IWR) and Center for Bioinformatics (ZITI) at Heidelberg University Research interests center on anisotropic total variation techniques for medical and industrial applications, including MR-guided interventions and real-time radiation therapy . His work has led to a 1000x speed improvement in brachytherapy planning algorithms. Recent publications highlight expertise in image reconstruction (CT/X-ray), noise optimization , machine learning for cancer classification, and big data management solutions. His methods are applied to both clinical and industrial imaging challenges. Additional contributions include scientific data infrastructure development and variance stabilization techniques for medical sensors. The research group maintains strong interdisciplinary links with Physics, Mathematics, and Computer Science faculties.

Florian Peinمشاهده پروفایل

مدرس

• Changepoint Regression
• Anomaly Detection
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Florian Pein is a Lecturer in Statistics at the School of Mathematical Sciences, Lancaster University . His research focuses on changepoint regression, anomaly detection, and applied projects linked to artificial intelligence, machine learning, and time series analysis. Current Position : Lecturer in Statistics Institution : Lancaster University School : School of Mathematical Sciences Florian's research addresses foundational challenges in statistical modeling of heterogeneous data, multiscale inference, and computational electrophysiology. His work bridges theoretical statistics with practical applications, particularly in analyzing ion channel recordings and developing open-source software tools like the stepR package. He has published extensively on changepoint detection, non-parametric methods, and noise modeling in time series. Notable trends in his publications include: Integration of changepoint regression with machine learning frameworks Development of robust cross-validation techniques for time series Advancements in multiscale and multiresolution analysis Applications in biophysics, including ion channel recordings and antibiotic resistance studies Focus on high-dimensional and non-parametric statistical methods Creation of computational tools for statistical inference Florian supervises PhD students in changepoint-related research and applies statistical methods to interdisciplinary challenges in data science and biophysics.

• Humanities
• Arts
• Architectural Design
• +۸ مورد دیگر

Isabel Maria Dias Cabral is a Contracted Researcher at the Centre for Textile Science and Technology (2C2T) at Universidade do Minho, Portugal. She holds a Doctorate in Textile Engineering (2018) and has academic background in Industrial Design (2004) and multiple Masters in Textile and Design fields (2009, 2011). Her research focuses on smart materials applied to textile design, particularly color change materials, shape memory textiles, and sustainable practices. Doctorate in Textile Engineering (2018) Master in Space, Product and Communication Design (2009) Licenciatura in Industrial Design (2004) Her work explores intersections between Humanities (Arts, Architectural Design) and Engineering (Materials, Textiles). Key research areas include smart textiles , interactive materials , and ecological coloration , with a focus on thermochromic , photochromic , and hydrochromic textile systems. Recent publications (2023-2025) demonstrate expertise in natural dyes (eucalyptus, weld, madder), colorimetry in design education , and functionalization of materials for specific applications. She co-supervises PhD and MSc students in projects related to sustainable fashion , smart printed textiles , and ecological coloration . Scientific recognition includes: CEECIND award (2022) Post-Doc grant (2018) FCT PhD grant (2012) Active in project coordination (Bioeconomia Têxtil e Vestuário_BE@T), educational outreach through workshops, and international collaboration with institutions in Sweden, Spain, and Belgium. Her work bridges art , science , and technology in textile innovation.

• Physics
• Nanophotonics
• Condensed Matter Physics
• +۴ مورد دیگر

Dr. Savio Fabretti is a Professor at the University of Bielefeld within the Faculty of Physics . He is affiliated with the Ultrafast Science Group and has contributed extensively to terahertz spectroscopy , nanostructured materials , and spintronics . His interdisciplinary work bridges physics and biology education , particularly in giftedness research through roles like Head of the Osthushenrich Center for Giftedness Research at the Faculty of Biology. Research Focus: Terahertz spectroscopy, plasmonic metamaterials, quantum transport in nanostructures, and giftedness diagnostics in science education. Teaching: Active in teacher training, curriculum design, and student laboratory supervision across biology, psychology, and technical disciplines. Labs & Teams: Collaborates with the Ultrafast Science Group and leads initiatives at the Osthushenrich Center for Giftedness Research . Publications highlight trends in terahertz photonics , nanoscale electronics , and interdisciplinary education . Notable projects include teutolab-robotics and Kolumbus-Kids for science outreach.

Evangelia Kalyvianakiمشاهده پروفایل

مدرس ارشد

• Cloud Computing
• Big Data Processing
• Autonomic Computing
• +۶ مورد دیگر

Evangelia (Eva) Kalyvianaki is a Senior Lecturer (equivalent to Associate Professor) in the Department of Computer Science and Technology at the University of Cambridge , where she is also a member of the Systems Research Group / netos group . Previously she held faculty positions as Lecturer at City University London and as post-doctoral researcher at Imperial College London. Education Ph.D. in Computer Science, Computer Laboratory (SRG/netos group), University of Cambridge M.Sc. in Computer Science, University of Crete, Greece B.Sc. in Computer Science, University of Crete, Greece Research Interests Her research spans the broad areas of Cloud Computing , Big Data Processing , Autonomic Computing , and Distributed Systems . A central theme is the design and management of next-generation, large-scale cloud applications, with an emphasis on applying mathematical reasoning—particularly control-theoretic techniques such as Kalman and H-infinity filtering—to address the complexity and uncertainty inherent in modern distributed infrastructures. Topics of active investigation include adaptive CPU and resource provisioning for virtualized servers, fairness and overload management in federated stream-processing systems, explicit state management for big-data frameworks, and distributed optimization algorithms for large-scale networked systems. Publications & Research Impact Across more than thirty peer-reviewed papers, her work demonstrates a consistent trajectory toward bridging rigorous control theory with practical systems challenges in the cloud. Signature contributions include the THEMIS framework for fair federated stream processing, dynamic block-sizing algorithms for data-stream engines, and robust resource-provisioning schemes based on advanced filtering techniques. Recent publications extend these ideas to fully distributed, finite-time coordination protocols that operate under quantized communications and time-varying delays, reflecting an expanding scope toward large-scale networked control systems. Scientific Awards No specific awards or fellowships are listed in the provided material. Advising & Funding While individual student names are not disclosed, her extensive publication record with numerous co-authors indicates active supervision of doctoral and master’s researchers. Funding acknowledgements in papers suggest support from UK research councils, EU projects, and industrial partnerships, although explicit grant details are not provided. Labs & Teams She is affiliated with the Systems Research Group (netos) within the Cambridge Computer Laboratory, a leading collective focused on networked and operating systems research, providing a collaborative environment for experimental cloud and distributed-systems work.

Sandra Paulettoمشاهده پروفایل

استاد

• Sound and Music Computing
• Media Production
• Sound Design
• +۵ مورد دیگر

Sandra Pauletto is a Professor in Media Technology specializing in Media Production and a Docent in Sound and Music Computing at the Division of Media Technology and Interaction Design (MID), School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. She joined KTH in 2019 after positions at the University of York and University of Huddersfield in the UK. Her work bridges the gap between artistic sound practices and technological innovation in the field of sonic interaction design. Pauletto holds a Physics degree (MPhys(Hons)) from Manchester and a Music degree in Classical Guitar from Conservatorio "G.Tartini" in Trieste, Italy. She completed her MSc and PhD in Music Technology at the University of York, UK, where her doctoral thesis focused on "Interactive non-speech auditory display of multivariate data." Her interdisciplinary background informs her approach to sound and media research. Her primary research interests focus on sound and music computing, media production, sound design, sonic interaction design, and sonification . She investigates how sound communicates both functional information (e.g., a car door shutting) and aesthetic qualities (e.g., the type of car) in interactive contexts. Her current projects apply these principles to sustainability challenges like energy consumption monitoring and environmental awareness, as well as health communication applications. She has developed methods that combine historical sound design practices with contemporary computing techniques to create more effective sonic interfaces. Analysis of her recent publications reveals a strong trend toward applying sound design to address societal challenges, particularly through projects like SonicFunc (developing sound design methods for everyday life) and SoniHED (Sonification of Health and Environmental Data). Her work increasingly incorporates interdisciplinary approaches, collaborating with experts in astronomy, environmental science, and public health to develop effective sonic interfaces for complex data. She has received funding for significant research projects including: The SonicFunc project (Principal Investigator), developing new sound design methods for the digital society The SCORe Project (Principal Investigator), using sonification to communicate public health risk data SoniHED: Conference on Sonification of Health and Environmental Data (funded by Wellcome Trust) Chronic health issues of adolescents project (funded by Centre for Chronic Diseases and Disorders) As an educator and mentor, Pauletto has served as Principal Supervisor for 5 completed PhD students and is currently Associate Supervisor for 1 PhD student. She has extensive teaching experience across all academic levels and has held management roles including Deputy Head of the MID Division at KTH and Programme Director for the MA/MSc in Postproduction with specialisation in Sound Design. She has also been a member of the Peer Review College for the UK Arts and Humanities Research Council and an expert reviewer for EU FP7 and H2020 programmes. She leads the SonicFunc research group which investigates sound function, aesthetics, and interaction in media production to create effective sonic interaction design for everyday life. Her team includes postdoctoral researchers like Rod Selfridge and PhD students working on projects related to sustainability, health communication, and innovative sound design methodologies. She has also organized multiple conferences including the SoniHED conference series and guest edited special journal issues on data sonification and sound design.