جستجوی استاد راهنمای دانشگاهی

• Early Childhood Education
• STEAM Education
• Teacher Education and Professional Development
• +۷ مورد دیگر

Dr. Andrea Ng is a Lecturer in Early Childhood Education at the School of Social Sciences, Media, Film and Education, Swinburne University of Technology. Her work bridges research, teaching, and policy in early childhood and primary education, with a strong emphasis on STEAM integration and teacher development. Her research focuses on how educators integrate STEAM (Science, Technology, Engineering, Arts, and Mathematics) into early childhood and primary curricula, particularly in Australian and Southeast Asian contexts. She investigates challenges faced by pre-service and in-service teachers and explores innovative solutions, including the use of generative artificial intelligence and the World Café methodology for participatory research. Her work supports Sustainable Development Goals 4 (Quality Education) and 10 (Reduced Inequalities). Dr. Ng's recent publications reveal a strong trend in STEAM education, teacher professional development, inclusive practices, and the use of robotics for social-emotional learning in children with autism. Her work spans qualitative, integrative, and evidence synthesis methodologies, contributing significantly to early childhood pedagogy and policy. She has secured research funding from the Victorian Department of Education for a project on robotics and child social-emotional development. Her HDR supervision includes doctoral research on teacher digital competency, ecological teaching modes, and TESOL teacher development. Dr. Ng is actively involved in developing practical strategies for teacher wellbeing and student inclusion. Her research outputs include journal articles, book chapters, conference presentations, and evidence synthesis reports, reflecting a comprehensive and impactful scholarly profile.

Farhad Moeeniمشاهده پروفایل

استاد

• Operations Management
• Information Systems
• Business Analytics
• +۹ مورد دیگر

Dr. Farhad Moeeni is a Professor of Information Systems and Business Analytics at Arkansas State University, affiliated with the Neil Griffin College of Business. He is the founder of the Data Automation Laboratory and holds a Ph.D. in Operations Management and Information Systems from the University of Arizona. His research focuses on data automation technologies such as RFID, bar coding, and the Internet of Things (IoT), particularly in supply chain and service operations. He has developed computational models for RFID-based location sensing and has worked on simulating customer impatience and data collection in simulation modeling. His recent work integrates RFID with live audio/video streaming systems, resulting in a U.S. utility patent. Dr. Moeeni has published in prominent journals including Decision Sciences Journal , International Journal of Production Economics , and International Transactions in Operational Research . His publications reflect strong expertise in operations research, decision sciences, quality management, and production systems. Key themes include data-driven decision making, automation in operations, and intelligent supply chains. He serves on the Editorial Board of the International Journal of RF Technologies: Research and Applications and has been a frequent guest lecturer at the University of Caen, France. He was Co-chair of the Identity Solutions Symposium and Workshop and served as Principal Investigator on a multi-university project funded by the Arkansas Science and Technology Authority. Dr. Moeeni advises graduate students and leads the Data Automation Laboratory, where ongoing research includes modeling service operations and advancing RFID-based indoor tracking systems. His educational background includes a Ph.D. in Operations Management with an MIS minor and an M.S. in Industrial Engineering, both from the University of Arizona.

Gerard de Meloمشاهده پروفایل

استاد

• Artificial Intelligence
• Large Language Models
• Natural Language Processing
• +۹ مورد دیگر

Gerard de Melo is a Professor and Chair of Artificial Intelligence and Intelligent Systems at the Hasso Plattner Institute (University of Potsdam, Germany). He also serves as a member of the Cognitive Sciences Research Focus and ELLIS Unit Potsdam . Research Interests: AI and Machine Learning Natural Language Processing Cross-modal AI (vision-language models, knowledge graphs) Societal and philosophical aspects of AI Medical Informatics Recommendation Systems Graph Neural Networks Recent Article Trends: His work spans generative AI (Vector Grimoire), medical LLM evaluation (CliMedBench), distributed training (Efficient Parallelization), and social media analysis (WallStreetBets) with a focus on multimodal systems and ethical AI . Scientific Recognition: Rutgers CSGSS Best Professor Award (Teaching, Advising) Best Paper Awards: NeurIPS Workshop, CIKM, EACL LANTERN IEEE TCSE Distinguished Paper Award First Runner-Up ACM WebSci Advising & Grants: Mentored students like Rohan Sawahn (Better World Award) and Maximilian Schall (IEEE TCSE Award). Secured major funding including German BMBF Grant for AI Service Center Berlin-Brandenburg and DARPA SocialSim Program support.

• Computer Music
• Optical Networks
• Optimization
• +۹ مورد دیگر

Cristina Emma Margherita Rottondi is an Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . She is a member of the Photonext Interdepartmental Center and contributes to research in telecommunications, computer music, and network optimization. Her work spans privacy-preserving protocols, smart grid communication, and low-latency audio streaming. Research Interests : Networked Music Performance, Optical Networks, Smart Grid Privacy, Machine Learning. Education : Not explicitly listed. Research Areas include: Smart Grid Privacy : Developing secure protocols for data aggregation and distributed energy optimization. Optical Network Design : Investigating machine learning-driven solutions and spatial division multiplexing. Networked Music Performance : Addressing latency and inclusivity in remote musical collaboration. Publication Trends highlight interdisciplinary work at the intersection of telecommunications , machine learning , and music technology . Recent articles focus on privacy-preserving smart grids , 5G-enabled musical IoT , and UDP packet trace datasets . Scientific Awards : 2020 Charles Kao Award Best Paper Awards at IEEE Online Greencomm (2014), DRCN (2017), and others N2Women Rising Star (2020) Advising includes PhD candidates working on networked music performance , accessible musical education , and medical wearable devices . She has contributed to national patents for inclusive audio hardware.

• Artificial Intelligence
• Machine Learning
• Artificial Neural Networks
• +۱۹ مورد دیگر

Professor Stephan Chalup is a leading academic in Artificial Intelligence and Machine Learning at the University of Newcastle , affiliated with the School of Information and Physical Sciences and the Data Science and Statistics department. He leads the Interdisciplinary Machine Learning Research Group (IMLRG) and the Newcastle Robotics Lab , where his team has achieved global recognition, including two RoboCup world championships. PhD in Computing Science , Queensland University of Technology (2002) Diplom in Mathematics with Neuroscience , University of Heidelberg His research focuses on artificial neural networks , deep learning , and high-dimensional data analysis , with applications in robotics, computer vision, medical imaging, and architectural analysis. He investigates how biological neural systems inspire robust AI models, particularly in topological data analysis and 4D vision . The recent publications highlight a strong trend in topological and geometric machine learning , with a focus on 4D data analysis , multi-agent reinforcement learning , and robot perception . His work bridges theoretical AI with practical industry solutions in transport, healthcare, and robotics. RoboCup World Champion (2008, 2006) Leadership Excellence, CESE (2024) Supervision Research Excellence Award (2015) Multiple Best Student Paper Awards (2019, 2018, 2011) Chalup has supervised numerous students and led significant research projects, including the ARC Discovery Project on estimating topology of low-dimensional data. His lab fosters interdisciplinary collaboration and innovation, with alumni working in top global tech roles. He is an active keynote speaker and program committee member in major AI conferences. His labs, including the Newcastle Robotics Lab , are equipped with state-of-the-art robots and computing systems, supporting cutting-edge research in humanoid robotics, autonomous navigation, and AI-driven data analysis.

Hans van Dijkمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Clinical Neurophysiology
• Electrophysiology
• +۷ مورد دیگر

Hans van Dijk serves as a Senior Researcher in the Signal Processing Systems group within the Department of Electrical Engineering at Eindhoven University of Technology. He simultaneously holds leadership and research positions at multiple institutions, heading the Clinical Physics department at Kempenhaeghe (an institute specializing in Epileptology and Sleep medicine) and working as a Senior Researcher at the University Hospital in Ulm, Germany. His multidisciplinary career bridges engineering, clinical neurophysiology, and sleep medicine. Dr. van Dijk's research focuses on biomedical engineering applications in Clinical Neurophysiology, with particular expertise in electrophysiological techniques including EEG, EMG, and ECG. His work centers on developing and applying signal processing methods to diagnose neurological disorders, with specific emphasis on seizure detection using EEG , High-Density EMG for facial and masticatory muscles , and alternative diagnostic methods for sleep disorders . His recent publications demonstrate a strong focus on applying machine learning techniques to sleep medicine and epilepsy monitoring. Analysis of Dr. van Dijk's recent publications (2021-2025) reveals a consistent research trajectory in developing advanced signal processing methods for clinical neurophysiology. His work spans three main domains: epilepsy monitoring and seizure detection (particularly in children), sleep disorder diagnostics (using multimodal approaches beyond traditional polysomnography), and advanced EMG techniques for motor unit analysis. His research increasingly incorporates deep learning and multi-modal sensor fusion approaches to improve diagnostic accuracy while reducing the invasiveness of monitoring procedures. 2699 citations according to Scopus metrics 101 research outputs documented in institutional repository Active research collaboration with Philips Research and Kempenhaeghe Contributions to UN Sustainable Development Goals through medical diagnostics research Dr. van Dijk supervises research activities with 8 documented supervised works, collaborating extensively with clinical and engineering researchers across multiple institutions. His research program integrates signal processing expertise with clinical needs in neurology and sleep medicine, developing practical solutions for monitoring and diagnosing neurological disorders. His work at Kempenhaeghe focuses on translating engineering innovations into clinical practice for epilepsy and sleep disorder patients.

• Social Network Analysis
• Misinformation Detection
• Human Mobility Modeling
• +۴ مورد دیگر

Jussara M. Almeida is an established computer science researcher specializing in social network analysis, misinformation detection, and human mobility modeling. Her extensive publication record (1996–2025) demonstrates active research in web science, political communication on messaging platforms (WhatsApp/Telegram), and cloud systems. She frequently collaborates with Brazilian institutions and international partners on large-scale data projects. Research Focus: Her core interests include: Modeling information diffusion in encrypted messaging apps (WhatsApp/Telegram) Predicting human mobility patterns and privacy implications Analyzing political discourse and election-related coordination online Developing computational methods for misinformation detection Optimizing cloud/edge computing performance Publication Trends: Recent work (2021-2025) shows intensified focus on: Telegram's role in political mobilization and information dissemination Advanced techniques for identifying fake news websites and image-based misinformation Privacy-preserving mobility analysis and edge computing Child safety in live-streaming platforms Collaborations & Impact: Key collaborators include Marcos André Gonçalves, Fabrício Benevenuto, and Marco Mellia. Her research provides critical insights into real-world problems like election integrity, platform governance, and user privacy.

Szabolcs Iváncsyمشاهده پروفایل

دانشیار

• Audio Signal Processing
• Sound Source Separation
• Signal Processing
• +۳ مورد دیگر

Szabolcs Iváncsy is an Honorary Associate Professor at the Department of Automation and Applied Informatics, Budapest University of Technology and Economics. His research focuses on audio signal processing and computational musicology, particularly in the domain of sound source separation for polyphonic music. Department: Automation and Applied Informatics University: Budapest University of Technology and Economics His work employs techniques such as instrument prints, energy splitting, and frequency estimation to isolate individual sound sources from complex musical recordings. These methods intersect with machine learning and signal processing to address challenges in polyphonic music analysis. Available publications highlight advancements in sound source separation, instrument modeling, and computational approaches to audio engineering. While no formal awards or students are listed, his contributions are documented in the BME Publication Registry and platforms like Google Scholar. Email: Ivancsy.Szabolcs@aut.bme.hu Office: Q.B215, Budapest 1117 Phone: +36 (1) 463-2885 Fax: +36 (1) 463-2871 Homepage: https://avalon.aut.bme.hu/~ivancsy

• Feminist Economic Geography
• Social Reproduction
• Precarious Work
• +۱۲ مورد دیگر

Nancy Worth is an Associate Professor in the Department of Geography and Environmental Management at the University of Waterloo. A feminist economic geographer, her research explores precarious work, social reproduction, age and generational dynamics, and geographies of the intimate life, with a focus on how gender, class, and other social categories intersect in urban contexts. Her theoretical interests emphasize relationality and temporality, particularly futurity and intergenerationality. She has led SSHRC-funded projects on millennial freelancing (Home/work, 2019-2023) and housing co-residence (GenY at Home, 2015-2017), highlighting the spatial dimensions of economic insecurity and care work. Worth’s recent publications analyze millennial housing dependency, freelancing ambiguities, and temporalities of knowledge work, while her teaching includes courses on global economy, health, work geographies, and feminist economic geography. She was shortlisted for the Area Prize for New Research in Geography (2008).

Mariam Adedoyin-Oloweمشاهده پروفایل

مدرس

• Data Mining
• Data Science
• Artificial Intelligence
• +۳ مورد دیگر

Mariam Adedoyin-Olowe is a Lecturer and Programme Leader for the MSc Artificial Intelligence at Birmingham City University . Her research focuses on Data Mining, Data Science, and Artificial Intelligence, particularly in analyzing social media data for event detection and decision-making support. Doctorate in Computing Science from Robert Gordon University First degree from University of Portsmouth Research Interests center on applying data mining techniques to Twitter data for tracking real-world events, sentiment analysis, and customer segmentation. Her work bridges computational methods with practical applications in politics, sports, and healthcare domains. Key Publications include studies on: Transformer-based transfer learning for cross-lingual news events AI-driven mental fatigue detection systems Temporal clustering methods for social media event resolution Deep learning approaches for sound classification Rule dynamics frameworks for political event detection Academic Affiliations include membership in BCU's Data Mining Group and Data Analytics & Artificial Intelligence Research Group, as well as former involvement with RGU's Data Science and Information Retrieval groups. She regularly reviews for international conferences and journals.

Freya Björg Olafsonمشاهده پروفایل

استادیار

• Intermedia Art
• Digital Performance
• Virtual Reality Art
• +۴ مورد دیگر

Freya Björg Olafson serves as Assistant Professor at the University of Manitoba School of Art since 2021, following her Assistant Professorship in York University's Department of Dance (2017-2021). Her academic foundation includes an MFA in New Media from Transart Institute/Donau Universität (Austria) and a BA (Honors) from the University of Winnipeg. Educational background: MFA in New Media, Transart Institute/Donau Universität, Austria Bachelor of Arts (Honors), University of Winnipeg Olafson's research critically examines technology's impact on bodily perception and identity through intermedia frameworks. Her practice integrates video, audio, motion capture, and XR technologies to deconstruct digital embodiment, drawing extensively from internet-sourced narratives and ready-made digital assets. She investigates how VR/AR mediates human experience, particularly regarding altered states of consciousness and virtual identity construction, often incorporating Fluxus and Bauhaus influences within contemporary digital contexts. Her creative output demonstrates consistent thematic focus on virtual reality's destabilization of corporeal boundaries. Works like "MÆ - Motion Aftereffect" synthesize motion capture data, 3D modeling, and live processing to create immersive experiences that interrogate technological mediation of reality without requiring headsets. This trajectory reflects broader digital art movements exploring internet culture's influence on perception while maintaining rigorous technical innovation in performance frameworks. Her honors include the Buddies in Bad Times Vanguard Award (2010) and Winnipeg Arts Council Making A Mark Award (2018), alongside Sobey Art Award longlisting (2020) and Lumen Prize recognition (2021). Buddies in Bad Times Vanguard Award for Risk and Innovation (2010) Making A Mark Award, Winnipeg Arts Council (2018) Combustible Artist Residency Award (2017) Sobey Art Award Longlist (2020) Lumen Prize longlist (2021) York Research Leader (2020) Olafson secures substantial research funding from Canada Council for the Arts, Manitoba Arts Council, and international partnerships like UK-Canada Immersive Exchange. Her collaborative projects involve technologists and performers across North America and Europe, with mentorship occurring through Video Pool Media Arts Centre and núna Festival engagements. She actively contributes to Sensorium: Centre for Digital Arts & Technology (York University), FADO Performance Art Centre (Toronto), and Video Pool Media Arts Centre (Winnipeg), while leading núna Festival's Canada-Iceland cultural exchange initiatives that foster transnational artistic dialogue through contemporary media practices.

Ainslie Murrayمشاهده پروفایل

دانشیار

• Architecture
• Visual Arts
• Public Art
• +۷ مورد دیگر

Associate Professor Ainslie Murray is an interdisciplinary artist and academic at UNSW Sydney within the Faculty of Arts, Design & Architecture . Trained in Architecture at the University of Adelaide (1993-1998) and holding a PhD in Visual Arts from the University of Sydney (2011), her work bridges architecture, visual arts, and environmental practice through walking, site-specific installations, and explorations of immaterial spatial forces. Research Interests : Ainslie investigates essentiality and minimalism in architectural space, focusing on ephemeral, immaterial, and participatory forms. Her practice includes immersive installations, films, textiles, and performative works, often emphasizing ecological themes like air quality, dust, and climate adaptation. Recent projects, such as the Registry of Itinerant Architectures and A.W.E. Collective collaborations, expand architecture's disciplinary boundaries via landscape and mobile practices. Scientific Awards : Notable accolades include the 2022 National Research Award (AILA), 2022 Red Dot Design Award , and 2007 Beth Winspear Scholarship . She has been shortlisted for international events like the Venice Architecture Biennale (2017) and received grants for projects such as Breathing Buildings (2017). Teaching & Supervision : At UNSW, she leads architectural design studios informed by walking practice and supervises PhD candidates in areas like Environmental Art , Nomadic Architecture , and Landscape Anthropocene . Her supervision emphasizes practice-based research across art, architecture, and spatial practices.

• Biomedical Engineering
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

Burcu Oltu is a Researcher in the Biomedical Engineering Department at Başkent University. She holds both a Master's Degree (2020) and Bachelor's Degree (2017) from the same institution. Her work focuses on applying machine learning techniques to biomedical signal processing and medical imaging. Education: MSc & BSc in Biomedical Engineering, Başkent University Email: boltu@baskent.edu.tr Her research integrates machine learning with biomedical engineering to solve medical diagnostic challenges. Key areas include: Deep learning for pulmonary disease classification from chest X-rays EEG signal analysis for Alzheimer's disease detection Transfer learning approaches for diabetic retinopathy detection Photoplethysmography and blood pressure signal analysis for sleep apnea detection Heart sound signal processing using wavelet transforms Her publications demonstrate a strong focus on developing AI-powered diagnostic tools for various medical conditions, with recent work appearing in journals like BMC MEDICAL IMAGING and Biomedical Signal Processing and Control. She has received recognition for her work, including: Bronze Medal - Istanbul International Invention Fair (ISIF) 2021 Burcu collaborates with researchers like Prof. Dr. Berna Dengiz and Doç. Dr. Selda Güney on projects involving medical imaging analysis and physiological signal processing. Her technical expertise spans algorithm development, neural networks, and biomedical device design.

Matthew Akersمشاهده پروفایل

استاد

• Sound Design
• Immersive Reality
• Digital Media
• +۳ مورد دیگر

Matthew Akers is a Professor of Sound Design at the Savannah College of Art and Design (SCAD), where he has held roles including Chair of Sound Design (2002-2005) and Associate Chair of Immersive Reality (2023-present). He earned an M.F.A. in Film and Video from the School of the Art Institute of Chicago and a B.S. in Design from Clemson University. His research focuses on Sound Design , Immersive Reality , and Interactive Systems , with projects blending audiovisual performance, game development, and spatial audio installations. His recent works include collaborations with the Medeology Collective and interactive sound systems for corporate environments. Police Trainer coin-operated videogame award (sold over 10,000 units worldwide, top 10 in Playmeter magazine for eight months) Matthew has also contributed to academic reviews of contemporary art and media, published in outlets such as Connect Savannah and The Chronicle. His professional background includes co-owning I.V. Specialists, Inc., where he managed clinical technology education and cleanroom design.

Efren Fernandez Grandeمشاهده پروفایل

دانشیار

• Sound Field Engineering
• Acoustic Field Engineering
• Microphone Array Engineering
• +۷ مورد دیگر

Efren Fernandez Grande is an Associate Professor at the Technical University of Denmark , specializing in Acoustic Technology within the Department of Electrical and Photonics Engineering. His research focuses on advanced acoustic modeling and signal processing techniques. Key Research Areas: Sound Field Engineering, Room Acoustics, Acoustic Holography, Beamforming, Neural Networks for Acoustic Modeling Recent publications highlight his work on sound field reconstruction, acoustic rainbows, and physics-informed neural networks, emphasizing spatial and frequency limitations in acoustic modeling. He supervises multiple PhD students in projects related to noise control and acoustic space reproduction. His contact details include efgr@dtu.dk and links to his ORCID and research website .