جست‌وجوی استاد و پژوهشگر

• Digital Media
• Gender and Sexuality
• Social Media
• +۴ مورد دیگر

Ben Light is Professor at the University of Salford's School of Health & Society, where he researches digital media's impact on gender, sexuality, and social interactions. He directs research at the Centre for Research on Inclusive Society and Centre for Applied Health Research. His research examines: Digital intimacy and dating/hookup app cultures Algorithmic governance of sexual content Social media ethics and platform politics Digital methods for studying online behavior LGBTQ+ experiences in digital spaces Publication trends show consistent focus on: Sexuality and digital platforms (55% of recent works) Algorithmic content moderation (30%) Digital health communication (15%) Awards include: Nancy Baym Book Award for NSFW: Sex, Humor and Risk (2020) Claudio Ciborra Award for Most Provocative Paper (2011) Finalist for KTP Awards (2003) Supervises doctoral students in digital society studies and directs interdisciplinary projects with NHS Cancer Screening Programme, LGBT Foundation, and Imperial War Museums.

Mohsen Sarrafمشاهده پروفایل

مدرس ارشد

• Wireless Communications
• Signal Processing
• Network Security
• +۲ مورد دیگر

Mohsen Sarraf is a Senior Lecturer and Visiting Assistant Professor in Electrical Engineering at the Tagliatela College of Engineering, University of New Haven. He holds a Ph.D. in Electrical Engineering from the University of Southern California, specializing in Computer Networks and Communications, along with M.S. and B.S. degrees from the same institution. His research focuses on wireless communications, signal processing, network security, multimedia systems, and embedded technologies. With extensive industry experience at Bell Labs and Telcordia, Sarraf possesses deep expertise in real-time system design, RF planning, and hardware implementation. Sarraf holds 22 US patents and 3 European patents covering innovations in OFDM transmission, error correction, watermarking, and wireless systems. His publications demonstrate consistent focus on optimizing network performance in wireless sensor networks, with recent work emphasizing collision detection algorithms, power efficiency, and IoT applications. He co-authored 'W-CDMA, cdma2000 and 3G Mobile Networks' (McGraw Hill, 2002), which was translated into Chinese. Professional skills include MATLAB simulation, C/C++ programming, RF planning, and project management.

• Pervasive Computing
• Internet of Things (IoT)
• Semantic Web
• +۵ مورد دیگر

Dr. Diego López-de-Ipiña is a Full Professor and Principal Researcher at the DEUSTEK/MORElab – ICT for Good group (University of Deusto, Spain). His roles include leading the Faculty of Engineering’s PhD program (2013–2018) and teaching modules in software engineering, web development, and internet technologies. His research focuses on pervasive computing, IoT, semantic middleware, smart cities, and sustainable computing, emphasizing ICT’s role in addressing societal challenges. He has supervised 17 PhD theses and directed over 100 final-year projects. Education: PhD in Computer Science from the University of Cambridge (2002). Research Interests: Pervasive computing and IoT for smart communities Knowledge graphs and semantic web technologies Human-AI collaboration and ethical computing Sustainable computing and environmental citizen science Projects: Principal investigator in EU projects like SOCIO-BEE, AURORAL, and CITY4AGE, focusing on smart cities, citizen engagement, and environmental sustainability. He has led over 20 research projects, blending IoT, blockchain, and AI for real-world applications. Awards: ATLAS Elsevier Research Prize (social impact of scientific papers) Corresponding Member of JAKIUNDE – Basque Science and Arts Academy Advising & Grants: Supervisor of 17 PhD students and mentor for over 100 theses. Secured funding through European and Spanish grants, emphasizing collaborative, community-driven research. Labs & Teams: Founder of DEUSTEK/MORElab, a hub for ICT innovations in sustainability, smart environments, and human-centric technologies.

Didem Özkulمشاهده پروفایل

استادیار

• Mobile Communication
• Digital Privacy
• Algorithms
• +۶ مورد دیگر

Didem Özkul is an Assistant Professor in the Department of Communication and Design (COMD) at Bilkent University, Ankara, Turkey. She holds a Ph.D. from the Communication and Media Research Institute at the University of Westminster, London. Previously, she held academic positions at institutions including University College London (UCL), the University of the Arts London, and the London School of Economics (LSE). Her research focuses on emerging technologies, particularly mobile and locative media, geolocation systems, big data, algorithms, and their societal implications. She is affiliated with the Alan Turing Institute and contributes to UK Government Science and Innovation Network robotics/AI collaborations. Education : Ph.D., Communication and Media Research Institute, University of Westminster, 2014 M.A., Communication and Design, Bilkent University, 2007 B.Sc., Business Administration and Management, Bilkent University, 2004 Research & Projects : She is writing a monograph, The Politics of Location Tracking and Profiling (Routledge), and editing a Journal of Computer-Mediated Communication special issue on sensor-mediated communication. Her work addresses ethical and societal challenges of data practices and automation. Collaborations : Editorial board member of Mobile Media & Communication and Online Media and Global Communication . Policy advisor to the Alan Turing Institute’s responses on data ethics and algorithmic bias. Personal : Enjoys cycling, hiking, and spending time with her pets.

• Geodesy
• GPS Technology
• Atmospheric Science
• +۳ مورد دیگر

Anna Jensen is a Professor of Geodesy at KTH Royal Institute of Technology, specializing in atmospheric effects on Global Navigation Satellite Systems (GNSS). Her research focuses on modeling ionospheric and tropospheric influences on GPS signals, particularly how weather parameters and electric currents impact signal transmission. Applications of her work include precision surveying, aviation navigation, and construction site monitoring. She has contributed to projects such as the Fehmarnbelt Fixed Link positioning system and Arctic navigation challenges. Her research interests span geodesy, satellite navigation, and remote sensing, with a strong emphasis on improving GNSS accuracy in challenging environments like urban areas and polar regions. Jensen’s studies address issues like ionospheric scintillation, RFI geolocation with smartphones, and robust positioning in jamming conditions. Jensen has published extensively on topics including network RTK data screening, GNSS network optimization, and ionospheric modeling. Her work often integrates statistical methods and geostatistical techniques to enhance positioning reliability. No scientific awards or grants are explicitly mentioned in the provided texts. She has advised no formal students, though her involvement in the Fehmarnbelt project and other large-scale infrastructure initiatives highlights her role in applied geodetic engineering. No specific labs or teams are detailed, but her collaborations likely involve KTH’s geomatics and geophysics groups.

Morris B Cohenمشاهده پروفایل

استاد

• Low Frequency Radio
• Electromagnetics
• Atmospheric Electricity
• +۵ مورد دیگر

Morris B Cohen is a Professor in the School of Electrical and Computer Engineering at Georgia Tech. He holds a B.S. and Ph.D. in Electrical Engineering from Stanford University (2003, 2010) and served as a research scientist until 2013. His roles include AAAS Science and Technology Policy Fellow at NSF (2012-2013) and Associate Editor of Radio Science since 2013. Research focuses on Earth's natural electricity, including lightning, upper atmosphere dynamics, and space environment interactions. Techniques include low-frequency radio wave analysis and novel antenna designs. Key areas are lightning geolocation, ionospheric remote sensing via VLF signals, and machine learning applications for ionospheric modeling. Distinctions: NSF CAREER Award (2017) ONR Young Investigator Award (2015) Santimay Basu Prize (2014, URSI) CTL/BP Teaching Excellence Award (2018) Grants & Projects: ALOFT airborne campaign studying thunderstorm gamma rays Development of low-frequency radio instrumentation Machine learning for ionospheric electron density prediction Labs/Teams: Low Frequency Radio Group at Georgia Tech AGU Atmospheric and Space Electricity Focus Group Executive Committee Teaching: Employs flipped classroom models in courses to enhance student engagement.

Frederic Maireمشاهده پروفایل

مدرس ارشد

• Robotics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Dr. Frederic Maire is a Senior Lecturer at the QUT Centre for Robotics, Queensland University of Technology. His research focuses on robotics, computer vision, and machine learning, with applications in environmental monitoring, autonomous systems, and driver safety. He holds a PhD from Université de Paris VI and has been at QUT since 1995. Key projects include the Dugong Detector for seagrass health monitoring, textile recycling robotics, and rail safety systems. Expertise spans soft robotics, environmental robotics, and AI-driven solutions for complex real-world challenges. Research interests include underwater imagery segmentation, UAV navigation, and multimodal driver stress detection. He has supervised numerous PhD and Master’s students on topics like autonomous decision-making and vision-based robotics. Publications span over 118 articles in top venues like IEEE/CVF WACV and IROS, focusing on robotics, computer vision, and environmental applications.

• Artificial Intelligence
• Machine Learning
• Neuroscience
• +۳ مورد دیگر

Zahra Babaiee is a PreDoc Researcher at the Department of Cyber-Physical Systems at Vienna University of Technology, actively contributing to interdisciplinary research at the intersection of artificial intelligence, neuroscience, and medical imaging. She is involved in projects such as MATTO-GBM (2024–2027), funded by the Austrian Science Fund (FWF), and Efficient Visual Intelligence for Autonomous Driving and Mobility (2025–2026), supported by the Austrian Research Promotion Agency (FFG). Research Focus : Her work spans Artificial intelligence and machine learning Neuroscience-inspired neural network architectures Medical imaging and radiation treatment optimization Autonomous driving and mobility analytics Depthwise convolutional filters and biological receptive fields Robust image classification techniques Collaborative Projects : Key collaborations include publications in leading conferences like AAMAS, ICLR, and WACV, with applications in tourism flow prediction, prostate segmentation, and autonomous systems. Her research demonstrates a strong emphasis on scalable AI solutions and multimodal data analysis. Laboratory Affiliation : She works within the Cyber-Physical Systems research group at Vienna University of Technology, focusing on practical implementations of AI in real-world scenarios.

Esteban González Guardiaمشاهده پروفایل

پژوهشگر

• Citizen Science
• Gamification
• Social Networks
• +۳ مورد دیگر

Esteban González Guardia is a Researcher affiliated with the Ontology Engineering Group (OEG) at the School of Computer Engineering, Polytechnic University of Madrid. He holds a degree in Computer Science from UPM. His work focuses on citizen science, gamification, and social networks, particularly in addressing environmental challenges like light pollution through projects such as STARS4ALL. Before joining OEG, he interned at EADS and worked at DEIMOS-SPACE, contributing to software development. He participated in the GLORIA project, an open robotic telescope network. Currently, he contributes to STARS4ALL, a platform combating light pollution. His research intersects technology and public engagement, leveraging collaborative tools and data-driven approaches. As part of the OEG, he collaborates on ontology engineering, semantic web, and linked data projects. The group’s achievements include methodologies like the NeOn Methodology and tools such as Morph and SPARQL-DQP. Their work spans domains like geolocation, bibliographic data, and R&D project management, with partnerships involving institutions like the National Geographic Institute and AEMET.

• Information Retrieval
• Neural Correlates of Cognition
• Urban Informatics
• +۳ مورد دیگر

Dr. Yashar Moshfeghi is an Honorary Senior Research Fellow at the University of Glasgow's School of Computing Science. He holds a Ph.D. in Information Retrieval and specializes in neuropsychological models of information need, geolocalisation of social media data, and neural correlates of cognitive processes. His research bridges cognitive neuroscience with information science. His work investigates how brain signals can predict information needs, the neural basis of search behavior, and fine-grained geolocalisation techniques for urban informatics. He develops models that connect cognitive processes with information retrieval systems. Moshfeghi's publications demonstrate innovative interdisciplinary approaches combining fMRI studies with information retrieval, geospatial analysis of social media, and cognitive modeling of search behavior. His research has practical applications in urban planning, traffic management, and adaptive information systems.

Jennifer Fisherمشاهده پروفایل

استاد

• Contemporary Art
• Curatorial Studies
• Exhibition Practices
• +۴ مورد دیگر

Jennifer Fisher is a Professor in the Department of Visual Art and Art History at York University's School of the Arts, Media, Performance & Design (AMPD). She holds a BFA from NSCAD University, and MA and PhD degrees from Concordia University. Her academic work integrates curatorial practice with research in contemporary art, sensory aesthetics, and feminist theory. Research Focus Fisher's research explores interdisciplinary intersections including: Exhibition studies and archival reinterpretation Affect theory and non-visual sensory aesthetics Feminist performance and display practices Curatorial methodologies and artist archives Professional Recognition Contemporary Art Fellow at the National Gallery of Canada Research affiliations at Cornell University and NYU Tisch School of the Arts Co-founder of the Journal of Curatorial Studies Founding member of DisplayCult curatorial collective Notable Projects Fisher co-curated 'Archives by Artists' (2024) at the Archives of Ontario, featuring 18 international artists who reconceptualize archival practice through interactive multiples. The exhibition engaged AMPD students in hands-on curation and will travel to Québec in 2025. Her work frequently integrates academic research with public-facing curation.

Rob Procterمشاهده پروفایل

استاد

• Social Informatics
• Data Science
• Trustworthy AI
• +۱۸ مورد دیگر

Rob Procter is Professor of Social Informatics in the Department of Computer Science at the University of Warwick. He is Co-director of the AI and Human-Centred Computing Theme, a Faculty Fellow at the Alan Turing Institute, Visiting Professor at the University of Edinburgh’s School of Informatics, and Visiting Scholar at the Blavatnik School of Government, Oxford University. He is a member of the OECD AI expert group on AI incidents and lead rapporteur for the Forum for Information Democracy. His research interests include social informatics, data science methodologies, trustworthy and ethical AI, social media analytics, health informatics, computer-supported cooperative work (CSCW), participatory design, and science and technology studies (STS). He applies these to domains such as public policy, healthcare, and humanitarian response. His work emphasizes responsible innovation and the societal implications of AI and digital technologies. Recent publications highlight his focus on ethical AI in healthcare, misinformation detection, peacebuilding with machine learning, and youth digital wellbeing. He has led and collaborated on numerous projects funded by ESRC, EPSRC, EU Framework 7, JISC, and UK RAI, including Reading the Riots and Digital Wildfires. Notable scientific awards include best paper awards at ACM Web Science Conference and CHI, as well as the Data Journalism Award and Online Media Award for Best Use of Social Media. These reflect his impactful interdisciplinary work bridging computing, social science, and policy. Rob Procter has supervised and collaborated with numerous researchers across disciplines. He has been involved in major grants such as MEDI@4SEC, Petras IoT Hub, and SCALS. His work often involves co-production with stakeholders from government, industry, and civil society to ensure real-world relevance and impact. He is affiliated with several research groups including the Human-Centred Computing Division, Warwick Institute for the Science of Cities, Collaborative Online Social Media Observatory, and Centre for Interdisciplinary Methodologies.

Shangqing Zhaoمشاهده پروفایل

استادیار

• Novel mobile system design
• Network science
• Mobile and network security
• +۲ مورد دیگر

Dr. Shangqing Zhao is an Assistant Professor in the School of Computer Science at the University of Oklahoma, with campuses in Norman and Tulsa. He earned his Ph.D. in Systems and Security from the University of South Florida in 2021. His research focuses on novel mobile system design, network security, and machine learning applications in security. He has published in top-tier venues like MobiCom, NSDI, and IEEE Transactions. Awards include the IEEE ICCCN 2023 Best Paper Award and an NSF grant for adversarial-driven physical layer security. Education Ph.D., Systems and Security, University of South Florida (2021) M.S., Communication and Information Systems, Henan Polytechnic University B.A., Business Administration, Fujan Agriculture and Forestry University Research Interests Dr. Zhao’s work spans mobile system design , network security , and machine learning for security . He explores data-driven approaches to improve system resilience against adversarial attacks, including spectrum attacks, wireless authentication vulnerabilities, and AI-driven security solutions. His research bridges theory and practice, with impactful contributions to IEEE conferences and journals. Publication Trends His articles emphasize adversarial machine learning , wireless security protocols , and AI applications in healthcare . Recent work tackles quantum ML security, breath inference defenses, and mmWave network optimization. The 2023 Best Paper Award highlights his innovation in dynamic routing protocols against network inference attacks. Grants & Awards NSF SaTC Grant (Adversarial-Driven Physical Layer Security) OU DISC Grant (Capsule Forensics) IEEE ICCCN 2023 Best Paper Award Advising & Students He currently advises Ph.D. students Jinmiao Chen, Xinyu Cao, Yu Cai, and Reza Babaei (co-advised), along with master’s student Yanyan Luo. His lab focuses on practical security solutions for emerging technologies like mmWave and IoT.

Darren Hayesمشاهده پروفایل

دانشیار

• Cybersecurity
• Digital Forensics
• Machine Learning
• +۳ مورد دیگر

Darren Hayes , Associate Professor at Pace University 's Seidenberg School of Computer Science and Information Systems, specializes in Information Technology with a focus on Cybersecurity and Digital Forensics . As Director of the Cybersecurity Program, he bridges academic research with industry needs through grants like the National Science Foundation award (2021-2026). Education : PhD in Industrial Engineering (Sapienza Università di Roma, 2019), DPS (Pace University, 2008), MS in Information Systems (Pace University, 2001), H.D.B.S in Banking & Finance (University College Dublin, 1993) His research explores machine learning applications in forensic analysis , mobile payment security , and cybersecurity education frameworks . Recent publications span digital artifact detection and optical sensor development . Awards include the 2024 Homeland Security International Digital Investigation Award and recognition as one of the Top 10 Computer Forensics Professors (2013). 2024: Finding Forensic Artefacts... (Digital Forensics, Machine Learning) 2023: Optimizing Reward-Based Crowdfunding (FinTech, AI) As High Technology Crime Investigation Association First Vice President and FBI Academic Alliance Program Coordinator, he actively shapes professional standards. His 2022 Compliance Week presentations address ransomware mitigation and third-party risk management .

• Automatic Speech Recognition
• Swiss German Speech Translation
• Dialect Identification
• +۳ مورد دیگر

Manuela Hürlimann is a researcher at the Zurich University of Applied Sciences (ZHAW), affiliated with the Centre for Artificial Intelligence (CAI) and the InIT lab. Her work focuses on automatic speech recognition (ASR), Swiss German speech translation, and reproducibility in NLP evaluations. University: Zurich University of Applied Sciences Academic Rank: Researcher Her research spans dialect diversity challenges in Swiss German speech translation, error-preserving ASR for language learners, and corpus development for low-resource languages. She contributes to shared tasks like GermEval and VarDial, emphasizing speech technology for accessibility and dialect regions. Recent publications include the CEASR corpus for ASR evaluation, SDS-200 speech-to-text datasets, and investigations into reproducibility flaws in NLP human evaluations. She also explores ensemble methods for speech translation and social media geolocation studies. Scientific Awards First Place in GermEval 2020 Task 4 Third Place in SwissText 2021 Shared Task Hürlimann collaborates extensively with Swiss institutions like FHNW and ZHAW, driving advancements in speech technology through public corpora and standardized methodologies.