جست‌وجوی استاد و پژوهشگر

• Multimodal Signal Processing
• Smart Systems
• Digital Transformation
• +۹ مورد دیگر

Professor Mohamed Abdel-Maguid is a Visiting Professor of Smart Systems at the University of Suffolk, affiliated with the School of Technology, Business and Arts. He has over 25 years of experience in academia and industry, focusing on innovation, enterprise, and knowledge exchange. Since 2012, he has led initiatives such as the New Anglia Digital Skills Accelerator and the Ipswich Waterfront Innovation Centre, generating over £12 million in external funding. Education: B.Eng. (Distinction) in Electronics and Telecommunications from AAST, Egypt; MSc. (Distinction) in Telecommunications Engineering from AAST, Egypt; PhD in Electronic Engineering (Image and Video Processing) from Staffordshire University. Professional qualifications include Fellowships from the Chartered Management Institute and the Institute of Innovation and Knowledge Exchange, alongside Senior Membership in the IEEE. Research interests span multimodal signal processing, smart systems for future cities, digital transformation, and technology-assisted learning. Notable projects include telemedicine advisory work for the Egyptian Ministry of Health and fraud detection systems for Tanzania’s tax authority. Awards include the UHNS Clinical Innovation Award (2010) and Lord Stafford Award (2009). Advising & Grants: Supervised over 25 postgraduate students to completion, contributed to international conferences, and advised governments and corporations on smart technologies. Key projects include the 3D Productivity Centre and STEM Centre at the University of Suffolk. Labs/Teams: Active in the New Anglia Digital Skills Accelerator (collaboration with BT Group), the Ipswich Waterfront Innovation Centre, and the STEM Centre.

Abdel-Hamid Solimanمشاهده پروفایل

استاد

• Automation (Smart Cities, Energy Management)
• Fibre Optic Communication Systems
• Data Acquisition Systems
• +۵ مورد دیگر

Abdel-Hamid Soliman is a Professor in the Department of Digital, Tech, Innovation & Business at Staffordshire University, UK. His academic roles include teaching, research leadership, and industrial collaboration. He holds a PhD in Image Processing and multiple postgraduate certifications in research supervision and methods. Education Background: PhD in Image Processing MSc in Information Systems and Data Acquisition Systems BEng (Hons) Distinction in Electronics and Communications PGC in Research Supervision PGC in Research Methods Research focuses on bridging academia and industry through automation technologies (Smart Cities, Energy Management, Safety Systems), fibre optics, IoT, and advanced signal/image processing. He leads EU-funded projects like CERES-TEMPUS, PEACE Erasmus Mundus, and WatERP-FP7. His work emphasizes community impact through innovation. Industrial Collaboration: Consultant for oil companies (VIBA, AGIP, etc.) Co-founder of ICentrica Ltd (spin-out company) Delivered projects for Sturge Industries, Universal Systems, and Direct Radio Response Grants & Partnerships: Secured EU funding via FP7 and Erasmus Mundus programs National/international partnerships in North Africa/Middle East Labs/Teams: Involved with Staffordshire's research groups and ICentrica Ltd's innovation activities. Active in training programs for industry professionals and university collaborations.

Nandana Weliweriyaمشاهده پروفایل

مدرس

• Physics Education Research
• Educational Technology
• Virtual Reality
• +۲ مورد دیگر

Nandana Weliweriya is a Lecturer in the Department of Physics & Astronomy at the University of Georgia, specializing in physics education research and technological innovation. His work focuses on enhancing student problem-solving through representations, eye-tracking studies, and virtual reality applications. Dr. Weliweriya leads the development of an astronomical VR platform featuring modules like Virtual Night Sky and Eclipses, designed to transform STEM education. His research examines how students connect representations in physics problem-solving, particularly using VR environments to visualize abstract concepts. Publications reveal consistent themes: immersive technology integration (VR/AR), STEM pedagogy innovation during COVID-19, and representational fluency in physics. Recent works emphasize astronomy education enhancements through 3D experiences and digital exam corrections.

Tim Kraskaمشاهده پروفایل

دانشیار

• Machine Learning
• Data Systems
• Database Systems
• +۳ مورد دیگر

Tim Kraska is an Associate Professor of Electrical Engineering and Computer Science at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). He co-leads the Data Systems Group and is the founding co-director of the Data System and AI Lab (DSAIL). He is also a co-founder of Einblick Analytics. His research focuses on integrating machine learning into data systems (Systems for ML) and enhancing systems using machine learning (ML for Systems). Notable projects include SageDB, which explores ML-enhanced database systems, and Northstar, aimed at democratizing data science through interactive tools. His work spans learned indexes, video processing, and instance-optimized systems. Kraska has received research funding from NSF, DARPA, the Air Force, and industry partners like Google and Microsoft. He advises graduate and undergraduate students, with Erfan Zamanian being a notable advisee who completed his PhD in 2020. Key contributions include pioneering 'learned systems' concepts, such as adaptive indexes and query optimizers. His labs and teams focus on rack-scale computing, transaction processing, and AI-driven database systems. Kraska's research bridges the gap between theoretical advancements and practical industry applications, with his work being commercialized and influencing cloud products.

• Wireless Communications
• Mobile Networking
• Internet of Things (IoT)
• +۸ مورد دیگر

Professor Abbas Jamalipour is a distinguished academic at the University of Sydney, holding the position of Professor of Ubiquitous Mobile Networking within the School of Electrical and Computer Engineering. He earned his PhD in Electrical Engineering from Nagoya University, Japan, and is a Fellow of IEEE, IEICE, and Engineers Australia. His research focuses on wireless and mobile networking, with contributions to 5G/6G, IoT security, resilient communications, and vehicular networks. Jamalipour leads the Wireless Networking Group (WiNG) and serves as President of the IEEE Vehicular Technology Society. Research interests span resilient communication systems for disaster scenarios, IoT healthcare applications, and edge computing. He has authored eight books, over 550 technical papers, and holds five patents. Notable awards include the 2010 IEEE ComSoc Harold Sobol Award and the 2010 Royal Academy of Engineering UK Distinguished Fellowship. Jamalipour has served as Editor-in-Chief of IEEE Wireless Communications and holds leadership roles in major IEEE committees and conferences. Current projects include 4G+/5G networks, wireless-powered IoT, UAV-enabled heterogeneous networks, and vehicular network security. His research students are engaged in topics like IoT security, fog computing, and autonomous driving applications. Jamalipour’s work bridges theoretical advancements with practical implementations, emphasizing technology’s role in enhancing societal resilience and quality of life.

Friso De Boerمشاهده پروفایل

استاد

• Machine Learning
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Professor Friso De Boer is a faculty member in the College of Engineering and Information Technology at Charles Darwin University (CDU). His primary research focuses on detecting abnormalities in biosignals using advanced signal processing techniques and artificial intelligence, including machine learning and neural networks. Key applications include EEG-based binaural hearing research, APG/ECG analysis for heat stress detection, and AI-driven diagnosis of diseases like breast cancer, cardiovascular disease, and kidney disease. He leads the Biomedical Engineering and Health Informatics Research Group at CDU, offering PhD opportunities in these areas. Prospective students are encouraged to contact him directly for further collaboration. His research interests span biomedical engineering, medical imaging, and health informatics. Notable projects involve developing novel AI models (e.g., ECgMLP, LungNet22) for disease diagnosis and improving diagnostic accuracy through hybrid approaches like graph theory and deep learning. He also explores ergonomic risk prediction via 3D pose analysis and gesture recognition systems for interactive displays. Publications highlight advancements in medical AI, including skin cancer detection, endometrial cancer diagnosis, and automated respiratory disease analysis using XAI principles. His work emphasizes real-world clinical applications, such as improving ICD coding accuracy and enhancing CT scan interpretation for pediatric bronchiectasis. Professor De Boer collaborates on interdisciplinary projects, blending engineering principles with healthcare challenges. His contributions span from foundational signal processing research to applied AI solutions in clinical settings, reflecting a commitment to advancing biomedical technology and patient outcomes.

Abhijit Mahalanobisمشاهده پروفایل

دانشیار

• Computational Sensing and Imaging
• Video/Image Processing
• Automatic Target Recognition (ATR)
• +۳ مورد دیگر

Dr. Abhijit Mahalanobis is an Associate Professor at the University of Central Florida (UCF), affiliated with the Center for Research in Computer Vision (CRCV). Previously, he served as a Senior Fellow at Lockheed Martin and held academic positions at the University of Arizona and the University of Maryland. He earned his B.S. from UC Santa Barbara (1984) and M.S./Ph.D. from Carnegie Mellon University (1985/1987). His research focuses on computational sensing, imaging systems, and automatic target recognition (ATR). Notable contributions include work on correlation filters, compressive sensing, and 3D imaging. He has published over 170 papers, holds four patents, and co-authored a book on pattern recognition. Dr. Mahalanobis has received prestigious awards such as the IEEE Fellow (2015), OSA Fellow (2004), and SPIE Fellow (1997). He has been honored with the Lockheed Martin NOVA Award (2005), Scientist of the Year (2006), and Innovator of the Year (1999). He has served on editorial boards for journals like Applied Optics and Pattern Recognition , and chairs for OSA and SPIE conferences. His research spans topics including infrared target detection, compressive sensing architectures, and deep learning for target recognition. The CRCV lab, under his leadership, develops advanced algorithms for defense and surveillance applications.

Fun Huمشاهده پروفایل

استاد

• Satellite Communications
• Wireless Networks
• Artificial Intelligence
• +۷ مورد دیگر

Prof. Fun Hu is the Inaugural Centre Director of the Bradford-Renduchintala Centre for Space AI at the University of Bradford. He holds a BSc and PhD from the same institution, with his doctoral research focused on personal mobile communications. His career spans satellite communication system engineering, satellite-terrestrial network integration, and aeronautical communications. He specializes in mobile, wireless, and satellite networks, emphasizing their applications and integration with emerging technologies like AI and big data. Education: BSc, University of Bradford PhD in Personal Mobile Communications, University of Bradford Research Interests: Integration of satellite and terrestrial networks SDN-based aeronautical communications AI-driven healthcare systems IoT and 5G applications in healthcare and telecommunications Energy-efficient network architectures Contributions to the Centre: Promoting Bradford's technological growth through interdisciplinary collaboration, course development (undergraduate/postgraduate/CPD), and community engagement in space technology. Active in advancing semantic interoperability, network security, and edge computing solutions. Labs/Teams: Leads the Bradford-Renduchintala Centre for Space AI, focusing on AI applications in space systems and healthcare.

• Digital Media
• Software Studies
• Archives and Historical Justice
• +۵ مورد دیگر

Fabiola Hanna is an Assistant Professor of Emerging Media at The New School's School of Media Studies within the Schools of Public Engagement. Her work bridges new media art and software theory, focusing on digital media’s intersection with historical memory archives. She holds a PhD and MFA from UC Santa Cruz and a BA from UC San Diego. Education: PhD, Film and Digital Media, UC Santa Cruz MFA, Digital Arts & New Media, UC Santa Cruz BA, Interdisciplinary Computing in the Arts, UC San Diego Research Interests: Fabiola explores how software interfaces engage with contested historical narratives, particularly in non-Western contexts. Her work emphasizes activist interactive documentaries, feminist media genealogies, and digital curation practices. Recent projects include a special issue on activist documentaries in the Global South and exhibitions at institutions like the Museum of Art and History (Santa Cruz). Professional Contributions: Developed UCSC’s coding literacy curriculum for incoming students Organized symposia on digital surveillance and war/security media Co-lead Video Vortex XI panel on interactive documentaries Awards: 2018-19 Data & Democracy Fellowship, UCSC Humanities Institute Inaugural Fellow, New School’s Institute for Critical Social Inquiry Labs/Initiatives: Active in digital humanities projects, including automated curation systems and participatory cartography. Collaborates with institutions like the MIT FabLab and the Digital Arts Research Center.

Yi Zhangمشاهده پروفایل

استادیار

• Sociolinguistics
• Discourse Analysis
• Multilingualism
• +۵ مورد دیگر

Dr. Yi Zhang is an Assistant Professor in the Department of Languages and Literatures at Delaware State University (DSU). He serves as Director of DSU’s Chinese Language and Culture Research Center and Assistant Director of the ESL Programs . His research focuses on sociolinguistics, discourse analysis, multilingualism, and translanguaging in digital contexts, with publications in prestigious journals like Social Semiotics and International Journal of Multilingualism . Education: Ph.D. in Second Language Acquisition & Instructional Technology, University of South Florida (2017) M.A. in Teaching English as a Second Language, Pennsylvania State University (2012) B.A. in English Education, Yangzhou University (China, 2010) Research Trends: Dr. Zhang’s work explores translanguaging practices in Chinese social media, gender representation in educational materials, and multilingual communication strategies. His studies often combine semiotic analysis with digital ethnography, revealing how online platforms reshape linguistic behavior and cultural identity. Labs/Teams: Oversees the Chinese Language and Culture Research Center, fostering multilingual education initiatives. Collaborates with editorial boards including Discourse, Context & Media .

Ben Morenمشاهده پروفایل

دانشیار

• Mixed Reality Art
• Digital Simulation Installations
• Human-Digital Interface Studies
• +۳ مورد دیگر

Ben Moren is an Associate Professor of Media Arts at Minneapolis College of Art and Design (MCAD), specializing in mixed reality, digital simulation, and environmental media art. His work interrogates the human relationship with nature through installations, performances, and generative systems that blend technology with ecological themes. He holds an MFA from the University of Minnesota and BFA from MCAD, with exhibitions at venues including the Beijing Film Academy, Weisman Art Museum, and IndieCade Los Angeles. Key research interests include hyperreality, pervasive gaming, AI-driven art (e.g., StyleGAN2-generated Clonal Colony), and site-specific installations responding to natural environments. His projects often involve custom electronics, such as the White Oak Listener's cordwood microphone device or Birch Transducer's birch-bark speaker systems. Recipient of McKnight Visual Artist Fellowship (2021–22), MNSAB Artist Initiative grants, and Forecast Public Art Jerome Planning Grant Developed Spatial Strategies iOS app exploring non-linear environments Collaborated with Daniel Dean on Mobile Experiential Cinema series (2010–2014) Recent works include 2024's Birch Transducer (Veery), an AI-driven sound sculpture, and 2020's Clonal Colony exploring generative adversarial networks trained on aspen imagery. His practice bridges fine art, technology, and ecological activism through immersive installations that challenge perceptions of nature and digital mediation.

• Technical and Professional Communication
• Digital Pedagogy
• Multimodal Composition
• +۴ مورد دیگر

Lisa Dusenberry is an Associate Professor of Professional Communication at Georgia Southern University’s Armstrong Campus, teaching graduate and undergraduate courses in technical writing, social media, and computational literacy. Her academic journey includes a Ph.D. in English from the University of Florida (2013) and a postdoctoral fellowship at Georgia Tech. She bridges professional communication with digital media, focusing on serious games and coding literacy. Ph.D. in English (University of Florida, 2013) MA in English (University of Florida, 2007) BA in English and Liberal Arts (Colorado State, 2005) Her research explores coding literacy , psychological safety in collaboration , and design thinking , often integrating digital tools like serious games into pedagogy. Recent articles analyze collaborative writing, multimodal learning, and game-based teaching strategies. Notable awards include the Brittain Postdoctoral Fellowship and a CCCC Research Initiative Grant . Her work spans refereed journals, book chapters, and conference proceedings in technical communication and game studies.

Peter W Kalivasمشاهده پروفایل

استاد

• Neuroscience
• Addiction
• Neurophysiology
• +۳ مورد دیگر

Peter W. Kalivas is a Professor in the Department of Neuroscience at the Medical University of South Carolina (MUSC). His academic role focuses on understanding the neural mechanisms underlying addiction and reward processing, with particular emphasis on synaptic plasticity and neuropharmacology. He holds a PhD in Neuroscience and has been a leading figure in translational research bridging basic science and clinical applications in substance use disorders. His research interests span addiction neurobiology, neurophysiology, and the development of novel therapeutic targets for psychiatric and substance use disorders. Key areas include studying synaptic adaptations in the nucleus accumbens and ventral pallidum, the role of astrocytes and extracellular matrix in drug relapse, and the impact of stress and cannabinoids on reward circuits. Dr. Kalivas has published extensively on topics such as GABAergic/glutamatergic interactions, matrix metalloproteinases, and the efficacy of N-acetylcysteine (NAC) in treating addiction and PTSD. His work integrates animal models (e.g., rodents) with preclinical trials to explore mechanisms of vulnerability/resilience in opioid and heroin use disorders. Key affiliations: College of Medicine, Neuroscience Department at MUSC Research Themes: Synaptic plasticity, addiction neurobiology, drug relapse mechanisms Notable Projects: Multi-center studies on NAC in PTSD, genome-wide association studies in rats His contributions highlight the role of non-neuronal elements (astrocytes, extracellular matrices) in addiction, challenging traditional neuron-centric views. Collaborations span neuropharmacology, computational modeling (e.g., video denoising for microscopy), and translational medicine.

• Machine Learning
• Remote Sensing
• Signal Processing
• +۳ مورد دیگر

Jianbo Liu is a prolific researcher with a focus on interdisciplinary fields spanning machine learning, remote sensing, signal processing, and computer vision. His work emphasizes developing advanced algorithms for applications in environmental monitoring, telecommunications, and data-driven decision-making. Liu collaborates frequently with institutions and researchers in China and internationally, contributing to journals like IEEE Transactions on Wireless Communications , Remote Sensing , and Pattern Recognition . Research Interests: Machine learning frameworks for computer vision tasks, remote sensing data analysis, signal processing in communication systems, and optimization of industrial processes. Key Collaborators: Fu Chen, Jimmy S. J. Ren, Ningyuan Cao, Hongsheng Li, and Boyang Cheng. Publications: Over 138 papers across venues such as CVPR, ICCV, and IEEE journals, demonstrating expertise in neural networks, sensor fusion, and spatiotemporal data analysis. His recent work highlights contributions to physics-informed machine learning, gesture recognition via hierarchical attention networks, and secure communication protocols for satellite systems. Liu’s research bridges theoretical advancements with practical applications in environmental science, healthcare, and smart infrastructure.

• VLSI Design
• Integrated Circuits
• Computer Architecture
• +۶ مورد دیگر

Xiaoyang Zeng is a Professor at Tsinghua University's School of Information Science and Technology, Institute of Microelectronics, with an extensive research portfolio in VLSI design, integrated circuits, and hardware acceleration systems. With over 429 publications spanning from 2005 to 2025, Professor Zeng maintains an exceptionally active research program, particularly evident in the high publication volume in recent years (45 papers in 2024 and 28 projected for 2025). His collaborative network includes prominent researchers such as Yibo Fan, Jun Han, Xu Cheng, and Xiaoyong Xue. Professor Zeng's research focuses on cutting-edge areas including Compute-in-Memory architectures, neuromorphic computing, low-power circuit design, and hardware acceleration for AI applications. His work bridges theoretical innovation with practical implementation, as evidenced by numerous publications in top-tier IEEE journals including the Journal of Solid-State Circuits, Transactions on Circuits and Systems, and Transactions on VLSI Systems. Recent work demonstrates particular strength in RRAM-based CIM accelerators, energy-efficient converters, and advanced signal processing techniques. The publication trends show a strategic evolution from traditional circuit design toward emerging computing paradigms, with increasing focus on AI hardware acceleration, neuromorphic systems, and energy-efficient computing solutions. His research group has developed innovative approaches to address challenges in memory-centric computing, analog circuit design, and hardware implementation of machine learning algorithms, with applications spanning consumer electronics, medical devices, and edge computing systems. Selected Scientific Awards: IEEE Journal of Solid-State Circuits Best Paper Award (2022) National Natural Science Award of China (Second Class, 2020) IEEE Asian Solid-State Circuits Conference Best Paper Award (2019) Professor Zeng has successfully advised numerous graduate students who have become active contributors in the field, with several now leading their own research projects. His research has been supported by multiple national-level grants from the National Natural Science Foundation of China and the Ministry of Science and Technology, focusing on next-generation computing architectures and advanced circuit design methodologies. The research group maintains strong industry connections with leading semiconductor companies for technology transfer and practical implementation of research outcomes.