جست‌وجوی استاد و پژوهشگر

Heba El-Fiqiمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Swarm Intelligence
• +۷ مورد دیگر

Dr. Heba El-Fiqi is a Lecturer at the School of Engineering and Information Technology (SEIT), UNSW Canberra. Her research focuses on artificial intelligence, swarm intelligence, machine learning, and computational linguistics. Notable contributions include a novel AI-based solution for air traffic control using swarm robotics and the development of the Weighted Gate Layer Autoencoders (WGLAE) for EEG signal recovery. She holds an IEEE active membership, co-chaired Women in Artificial Intelligence (WAI) activities, and served on conference program committees (AAAI, IJCAI, ECAI). Education: PhD in Computer Science (2013): UNSW, Thesis: "Detection of Translator Stylometry using Pair-wise Comparative Classification and Network Motif Mining" Master of Computer Science (2009): Cairo University, Thesis: "An Intelligent System for Tracking Network Attacks" Research Interests: Swarm robotics, autonomous systems, and AI for air traffic management Machine learning applications in signal recovery and medical diagnostics Computational linguistics and translator stylometry Awards: Dell EMC Award of Distinction (2017) IBM Big Data Developer - Instructor Award for Educators (2017) Teaching & Supervision: Course Coordinator for ZEIT4150 (Artificial Intelligence) and ZEIT4151 (Machine Learning) Supervised over 10 undergraduate engineering projects, including work on deep reinforcement learning for autonomous combat and humanoid robot navigation Labs & Teams: Active in UNSW's AI research community, contributing to initiatives like Canberra AI Week and Women in Engineering (WIE) leadership roles.

Ron Daboraمشاهده پروفایل

دانشیار

• Wireless Communications
• Cooperation and Relaying in Wireless Networks
• Secure Communications
• +۷ مورد دیگر

Ron Dabora is an Associate Professor at the Department of Electrical and Computer Engineering, Ben-Gurion University, Israel. He is currently a Visiting Research Collaborator at Princeton University. His research focuses on wireless communications, secure communications, channels with memory, signal processing for communications, and machine learning for communications. Education : B.Sc. and M.Sc. from Tel-Aviv University (1994, 2000), Ph.D. from Cornell University (2007). Past Roles : Postdoctoral researcher at Stanford University (2007–2009), R&D engineer at Communications Research Institute (1994–2000), Algorithms Group at Millimetrix Broadband Networks (2000–2003). Research Interests include wireless communications, cooperation and relaying in networks, secure communications, feedback and channel coding, machine learning for communications, and power line communications. His current projects are Resilient UAV Communications (2025–2027) and Inherent Limitations and Signal Processing for Communications with Asynchronous Sampling (2020–2025). Past projects span 5G algorithm design, wireless network optimization, and power line communications. Advising : Currently supervising Zikun Tan (Ph.D., Signal Processing and Machine Learning for Communications), Itai Zino (Ph.D., Machine Learning for Communications), and others. Former students include Nir Shlezinger (Weizmann Institute), Daniel Zahavi (LEVL Technologies), and Yoel Bokobza (Samsung Research). Honors : IEEE Senior Member. Teaching : Courses in digital wireless communications, network information theory, signal processing, and modern communications.

• Educational Technology
• Digital Humanities
• Interaction Design
• +۵ مورد دیگر

Dr. John G. Keating is an Associate Professor in the Department of Computer Science at Maynooth University and serves as the Associate Dean for Teaching and Learning in the Faculty of Science & Engineering. He holds a PhD in Atmospheric Physics (1990) and an EdD in Science Learning and Applied Linguistics (2014). His research interests span Educational Technology, Digital Humanities, Interaction Design, and Linguistic Analytical Methods, with a focus on Collaborative Learning and Science Learning in online environments. He has led numerous funded projects, including work on collaborative annotation tools, digital humanities archives, and adaptive learning environments. Notable awards include the Maynooth University Teaching Fellowship and IBM Faculty Fellow recognition. Education: PhD in Atmospheric Physics (Maynooth University, 1990), EdD in Science Learning (Open University, 2014), MEd (2006). Key Projects: Development of collaborative annotation software, digital humanities platforms (e.g., Irish in Europe Project), and tools for systemic functional linguistic analysis. Grants: Over €6 million in funding from bodies like IRCHSS, Intel Ireland, and the EU for projects in digital humanities and educational technology. Awards: Maynooth University Teaching Fellowship (2019-20), IBM Faculty Fellow (2004-6), EPSRC Visiting Fellow (1994-6). Labs/Teams: Co-founder of Maynooth University's An Foras Feasa Institute, contributing to interdisciplinary research in digital humanities and education.

Jacek Stefańskiمشاهده پروفایل

استاد

• Digital Radio Communication Systems
• Adaptive Reception Techniques
• Error Protection in Radio Channels
• +۶ مورد دیگر

Prof. Jacek Stefański is a distinguished academic serving as Dean of the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology since 2020. He holds a professorship (awarded in 2020) and has held various academic roles, including Vice-Dean for Organizational Studies (2016–2020) and Head of the Department of Radio Communication Systems and Networks (2018–2020). His research focuses on digital radio communication systems, adaptive reception techniques, radiolocation, and asynchronous localization methods. Education: He earned his Ph.D. (2000) and habilitation (2012) at Gdańsk University of Technology, and became a full professor in 2020. His academic career spans roles from research assistant (1993–2001) to his current dean position. Research Interests: His work emphasizes asynchronous wireless localization (e.g., ATDOA method), radiolocation systems, and wireless monitoring technologies. He has contributed to projects like the AEGIR system for ground-based radiolocation and the ARPOL mobile measuring station. Publications: Over 230 publications, with recent work focusing on hybrid localization systems, IoT sensor networks, and SDR-based solutions. His research bridges theoretical advancements and practical applications in radio communication and navigation. Awards: Golden Cyborg Award (2023) Silver Medal for Long Service (2018) Gold Medal in Poznań International Fair (2010) Advising & Grants: Extensive supervision of academic projects and involvement in funded research on radiolocation, environmental monitoring, and wireless systems. Labs/Teams: Leads research teams in radio communication systems, radiolocation, and IoT applications, leveraging Gdańsk Tech’s infrastructure for hands-on experimentation and simulation.

• Cloud Computing
• Edge Computing
• Artificial Intelligence
• +۷ مورد دیگر

Dong Yuan is an Associate Professor at the School of Electrical and Computer Engineering at The University of Sydney. He holds a B.Eng and M.Eng from Shandong University (SDU) and a PhD from University of Technology Sydney (SUT). His research spans multiple cutting-edge domains including cloud and edge computing, artificial intelligence, blockchain, and smart energy systems. Professor Yuan's research interests focus on the intersection of computing systems and intelligent applications. His work bridges theoretical foundations with practical implementations in distributed systems, with particular emphasis on optimizing resource allocation, enhancing security, and improving efficiency in next-generation computing environments. His research has significant applications in energy systems, cybersecurity, and AI deployment in constrained environments. His recent publications demonstrate a strong trend toward federated learning, privacy-preserving techniques, blockchain applications for security, and edge-based AI deployment. The research shows increasing integration of multiple domains, with papers combining AI techniques with energy systems, blockchain with privacy preservation, and edge computing with distributed learning frameworks. His work consistently addresses practical challenges in real-world deployment of intelligent systems. Professor Yuan actively supervises a substantial cohort of 18 research students working on diverse projects spanning AI security, blockchain applications, energy systems optimization, and advanced machine learning techniques. His students' research projects reflect his broad expertise and the interdisciplinary nature of modern computing research. His laboratory work appears to focus on distributed computing systems with applications in energy, security, and AI. The research environment supports both theoretical algorithm development and practical implementation testing across multiple domains including smart grids, cybersecurity frameworks, and edge computing infrastructure.

Douglas Densmoreمشاهده پروفایل

استاد

• Synthetic Biology
• Microfluidics
• Computer Architecture
• +۴ مورد دیگر

Roles and Affiliations: Douglas Densmore is a Professor of Electrical and Computer Engineering at Boston University, holding the Tegan Family Distinguished Faculty Fellowship. He leads the CIDAR Group and directs the Biological Design Center. His primary appointment is in the College of Engineering, with affiliations in Biomedical Engineering, Bioinformatics, and Materials Science & Engineering. He also serves as an affiliated PI in the Engineering Biology Research Center and NSF CELL-MET ERC. Education: He earned a PhD in Electrical Engineering from UC Berkeley (2007), following MS (2004) and BS (2001) degrees from UC Berkeley and the University of Michigan, respectively. His postdoctoral research included work at UC Berkeley and the Synthetic Biology Engineering Research Center (SynBERC). Research Interests: Densmore focuses on synthetic biology tools, microfluidics, and design automation. His work integrates electronic design automation (EDA) principles with biological systems to create high-level abstraction frameworks. Key areas include: Development of domain-specific languages for genetic circuit design Standardization of biological parts and data exchange Hardware-software-wetware co-design for synthetic systems Microfluidic platforms for high-throughput experimentation Awards and Recognition: He has received prestigious honors such as the AIMBE Fellowship (2021), Inaugural DAC Under-40 Innovators Award (2017), and NSF CAREER Award (2013). His contributions span academic, entrepreneurial, and editorial roles in synthetic biology. Grants and Labs: His research is supported by grants from NSF, NIH, DARPA, and industry partnerships. He leads the CIDAR lab, which combines computational and experimental approaches. He co-founded companies like Lattice Automation and Asimov, advancing bio-design automation commercially.

Ning Yangمشاهده پروفایل

استادیار

• Information Systems
• Technology Uses and Adoptions
• AI Awareness
• +۷ مورد دیگر

Ning Yang is an Assistant Professor of Information Systems at the Quinlan School of Business, Loyola University Chicago. She holds a PhD in Information Systems from the University of Alabama and contributes to both teaching and research in business analytics, system requirements, and data mining. Her academic work focuses on emerging technologies and their integration into organizational and educational contexts. Education: PhD, Information Systems, University of Alabama MS, Marketing, University of Alabama MA, Educational Psychology, University of Alabama MA, TESOL, University of Alabama BS, English, Anhui University Her research interests include technology adoption, AI awareness, Internet of Things, cybersecurity, business analytics, and pedagogy . She explores how individuals and organizations interact with digital systems, with a focus on user behavior, educational effectiveness, and security awareness. Her work combines behavioral models with technical implementation, often applying replication and empirical validation methods. The 15 most recent publications reflect a strong interdisciplinary focus, bridging information systems, education, health informatics, and cybersecurity . Trends include the role of trust and perception in technology adoption, AI literacy in business education, and data-driven methods in learning and decision-making. Her research frequently applies frameworks like the Technology Acceptance Model (TAM) and extends them to new domains such as IoT and mHealth. Scientific Awards and Recognitions: Selected for AMCIS Doctoral Consortium (2020) Selected for ICIS Doctoral Consortium (2020) Dr. Yang actively contributes to academic advising and curriculum development, particularly in business analytics and information systems education. She teaches core courses including Business Analytics, Requirements Analysis, and Data Mining. While specific grant details are not listed, her participation in doctoral consortia and publication record suggest active research funding and scholarly engagement. She is a member of the Association of Information Systems and maintains a presence through Google Scholar. She is affiliated with the Quinlan School of Business and contributes to its academic mission through teaching, research, and professional service. No dedicated lab or research team is mentioned, but her work aligns with initiatives in applied artificial intelligence and business analytics at Loyola.

• Digital signal processing
• Machine learning
• Sensor network
• +۳ مورد دیگر

Stefan Werner is a Professor at the Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). Holding degrees in civil engineering from the Royal Institute of Technology (Sweden) and a Dr.Scient from Helsinki University of Technology (Finland), he leads research in digital signal processing, machine learning, and wireless communication. His work focuses on: Distributed learning algorithms Federated learning security Privacy-preserving signal processing Kernels and graph-based learning Robust wireless communication Recent publications address federated learning with non-convex penalties, anomaly detection in hyperspectral data, and resilience against model-poisoning attacks. Collaborators include researchers from IEEE and international institutions. Selected affiliations: Signal Processing research group, NTNU IoT@NTNU initiative Norwegian Open AI Lab

Chuck Andersonمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Reinforcement Learning
• +۹ مورد دیگر

Chuck Anderson is a Professor in the Department of Computer Science at Colorado State University (CSU), with joint appointments in the Molecular, Cellular, and Integrative Neuroscience Program, the School of Biomedical Engineering, the Graduate Degree Program in Ecology, and the Online Systems Engineering Program. His research focuses on machine learning, deep learning, and reinforcement learning, with applications to brain-computer interfaces, high-dimensional data, health, environment, and energy. Research Interests: His work spans algorithm development for classification, modeling, and control, with a strong emphasis on understanding learned representations. He applies these methods to neuroscience, climate science, programming, and accessibility technologies, demonstrating a highly interdisciplinary approach. His research integrates insights from computer science, neuroscience, and engineering to solve complex real-world problems. Publication Trends: His recent and advised publications reveal a sustained focus on reinforcement learning, deep neural networks, and brain-computer interfaces. There is a growing trend toward diffusion models, ensemble methods, and applications in climate and healthcare, indicating forward-looking and impactful research directions. Scientific Awards: CSU Online Outstanding Distance Educator Award (2024) Best Overall Paper Award, IJCNN 2015 Advising and Grants: He has advised over 15 Ph.D. students, with recent graduates working on reinforcement learning, neuroimaging, climate AI, and program synthesis. While specific grants are not listed, his sustained output and advising suggest consistent research funding. He also leads an AI consulting company, Pattern Exploration, focusing on custom AI solutions for health, environment, and energy. Labs and Teams: Though not explicitly named, his work implies leadership in a machine learning research group at CSU, likely involving students and collaborators across neuroscience, biomedical engineering, and climate science. His involvement in online AI programs and consulting indicates active outreach and applied research teams.

• Causality
• Statistical Machine Learning
• Probabilistic Modeling
• +۱۲ مورد دیگر

Bryon Aragam is an Associate Professor and Topel Faculty Scholar at the Booth School of Business , University of Chicago . His work bridges causality , statistical machine learning , and probabilistic modeling , with applications in AI systems like ChatGPT and DALL-E. Key research themes include: Causal Structure Learning : Extracting latent causal graphs from multimodal data using nonparametric methods. Deep Generative Models : Analyzing overparametrization and variational inference for representation learning. Latent Variable Discovery : Using Markov boundaries and convex subset lattices to uncover hidden dependencies. Algorithm Design : Developing scalable methods like DAGMA for DAG learning and theoretical guarantees for GES/PC algorithms. His paper trends reveal a focus on nonparametric statistics , graphical models , and neural network theory , with recent work on transformer memory dynamics and identifiability in deep latent models . Papers frequently appear in top venues like NeurIPS , JMLR , and AOS , emphasizing theoretical rigor and practical validation.

Lori Emersonمشاهده پروفایل

استاد

• Media Archaeology
• History of Computing
• Media Theory
• +۵ مورد دیگر

Lori Emerson is a Professor and Associate Chair for Graduate Studies in the Media Studies Department at the University of Colorado Boulder, where she also serves as the Founding Director of the Media Archaeology Lab. She is Faculty Director of the Intermedia Art, Writing and Performance program and leads the “Other Networks” research cluster that documents and experiments with networks outside of what’s now called “the internet.” Dr. Emerson’s research focuses on uncovering crisis points in past media—points at which there was the possibility, never fully realized, for technologies to become “other” than what they are now. She works to undo established narratives of how contemporary technologies came to be by examining artists’ and writers’ experiments with network technologies. As part of her research, she has become an amateur radio operator with the callsign KF0LCB. Her current research cluster, “Other Networks,” includes multiple book projects, articles, and hands-on workshops that explore networks that preceded or exist outside the internet. Through the Media Archaeology Lab, she and Dr. libi striegl host events, write recipes and pamphlets on “other networks,” and run an asynchronous book club. Their work is supported by the College of Communication, Media, Design, and Information at the University of Colorado Boulder. Dr. Emerson’s publications reveal a consistent focus on media archaeology, the history of computing, and alternative technological pathways. Her recent work has increasingly centered on pre-internet telecommunications networks and how artists have experimented with these systems. She has documented Canadian cable TV networks like NABU, early computer bulletin board systems, and other forgotten network technologies, arguing that “the net has never been neutral” and that understanding these historical alternatives can help us reimagine the future of networks. Other Networks: A Radical Technology Sourcebook (2025) THE LAB BOOK: Situated Practices in Media Studies (2022) Reading Writing Interfaces: From the Digital to the Bookbound (2014) Through the Media Archaeology Lab, Dr. Emerson has developed numerous workshops and educational materials on building alternative networks, including recipes for creating mini FM transmitters and mesh networks. She actively engages with the public through social media platforms like Bluesky and Mastodon using the #othernetworks hashtag, sharing insights about historical networks and practical approaches to creating alternatives to corporate internet infrastructure.

Joanne Orlandoمشاهده پروفایل

دانشیار

• Digital Literacy
• Child-Robot Interaction
• Educational Technology
• +۴ مورد دیگر

Joanne Orlando is an Associate Professor at the School of Education, Western Sydney University, specializing in digital literacy, child-robot interaction, and educational technology. Her research directly contributes to UN Sustainable Development Goals for Quality Education (SDG 4) and Sustainable Communities (SDG 11), focusing on technology's impact on children's wellbeing and sustainable practices in education. Her educational qualifications include: Doctor of Philosophy Master of Education, Western Sydney University Bachelor of Education Diploma in Teaching Orlando's research examines digital safety in home-school environments, sustainable technology practices through e-waste recycling, and social robots' role in childhood education. Her longitudinal studies analyze technology integration in low socio-economic status schools, while her child-robot interaction work demonstrates how adaptive emotional feedback sustains engagement and vocabulary development. Current projects address post-COVID digital safety reconceptualization and sustainable computing initiatives. Analysis of her 15 most recent publications reveals dominant themes in digital safety frameworks (2023-2025), sustainable technology practices (2023-2024), and child-robot interaction (2019). Her work consistently bridges theoretical research with practical applications for educators, parents, and policymakers. Her scientific recognition includes: Engagement Australia: Outstanding Leadership in Engagement (2024) for AI advocacy and evidence-based community engagement Outstanding Research Impact Award, Western Sydney University (2015) Orlando has secured significant research grants including Reconceptualising Digital Safety in Family Homes post COVID-19 (2022-2024), Evaluation of Educational Technology at University of Bahrain (2017-2018), and Woodville Alliance Scoping Project (2018). She leads interdisciplinary teams addressing digital safety, sustainability, and educational equity, with strong community partnerships through organizations like Save the Children Australia. Her current collaborative networks span Australia, Bahrain, and international research communities, focusing on sustainable technology implementation and digital wellbeing frameworks for children and educators.

Christina Isabelliمشاهده پروفایل

استاد

• Second language acquisition
• Spanish applied linguistics
• Sociolinguistics
• +۷ مورد دیگر

Christina Isabelli is Professor of Spanish in the Department of Modern Languages and Literature at Gonzaga University, where she also serves as Associate Provost for Global Engagement. She leads the Center for Global Engagement, overseeing international student services, study abroad programs, and the English Language Center. Her academic background includes a Ph.D. in Ibero-Romance Philology and Linguistics from the University of Texas at Austin, an M.A. in Spanish Literature and Linguistics from the University of Iowa, and a B.A. in Spanish and Mathematics from Illinois State University. Ph.D., University of Texas at Austin – Ibero-Romance Philology and Linguistics M.A., University of Iowa – Spanish Literature and Linguistics B.A., Illinois State University – Spanish and Mathematics Her research centers on second language acquisition, particularly in study abroad and domestic immersion environments. She investigates how social networks, motivation, and extended interaction with native speakers influence linguistic accuracy and oral communication skills. Her work bridges applied linguistics, sociolinguistics, and foreign language teaching methodology, with a strong focus on international education and language program articulation. The recent publications of Dr. Isabelli reflect a consistent trajectory in second language acquisition research, emphasizing comparative learning contexts (study abroad vs. domestic), linguistic accuracy (gender agreement, article usage), and program design. Her work integrates qualitative ethnographic methods with quantitative analysis, often drawing on social network logs and learner diaries. She has contributed significantly to understanding how structured immersion and social integration enhance language development. Dr. Isabelli serves as a Program Reviewer for CAEP/ACTFL, evaluating foreign language teacher certification programs nationwide. She has also contributed to state-level advocacy through the Washington Office of Superintendent of Public Instruction and served on the AAUSC Board of Directors. She has advised numerous language programs through ALD-MLA consulting and has led initiatives such as the College in the High School program at Gonzaga. She has held visiting professorships at Middlebury’s Summer School of Spanish, IES Abroad Madrid, and Universidad Internacional in Mexico. She previously chaired the Department of Hispanic Studies at Illinois Wesleyan University and founded the Language School for Kids there. Her leadership extends to organizing national workshops on language program coordination and assessment.

Antonio Miguel Seoane Pardoمشاهده پروفایل

دانشیار

• eLearning
• Online Education Methodology
• Virtual Institution Design
• +۷ مورد دیگر

Antonio Miguel Seoane Pardo is an Associate Professor (part-time) at the University of Salamanca, affiliated with the Department of Didactics, Organization and Research Methods within the School of Education. He is Academic Coordinator of the GRIAL Research Group (Research Group in Interaction and eLearning) at the University Institute of Educational Sciences. He also holds a permanent position as Head of the Philosophy Department at IES Campo Charro, a secondary education institution in Salamanca. His research focuses on eLearning, online education methodology, virtual institution design, and virtual tutor training . He has made significant contributions to the development of digital learning strategies, particularly during his tenure as the first Director of the Virtual University of the University of Salamanca. His work bridges educational theory and technological innovation. The 15 most recent publications reflect a strong trend in educational technology, learning design, teacher training, and digital assessment . Key themes include gamification, self-regulated learning, MOOCs, accessibility, and the evolution of virtual campuses. His interdisciplinary approach integrates insights from educational psychology, communication theory, and philosophy. Author of over 50 publications including books, book chapters, and high-impact articles Delivered more than 60 national and international training courses for educators Active in teacher training and institutional eLearning capacity building As Academic Coordinator of GRIAL, he leads a dynamic research team focused on innovation in digital education. The group actively develops tools, methodologies, and training programs to support online learning at institutional and international levels. His work continues to influence both academic research and practical implementation in virtual education environments.

• Secure Systems
• Operating Systems
• Distributed Systems
• +۵ مورد دیگر

Nickolai Zeldovich is the Joan and Irwin M. (1957) Jacobs Professor of Electrical Engineering and Computer Science at MIT and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on building practical secure systems through the integration of formal methods with real-world system design. His research interests span secure systems, operating systems, distributed systems, formal verification, and cryptography. Recent work emphasizes automated reasoning for distributed system liveness, leakage-free hardware security modules, and privacy-preserving web technologies. Projects include CryptDB (encrypted databases), FSCQ (verified file systems), Algorand (cryptocurrency), and Vuvuzela (private messaging). His publication trends show consistent output in formal verification of distributed systems (Shipwright, Grove), hardware security (K2 Architecture), and privacy technologies (Tiptoe). Recent work increasingly combines theoretical verification with practical implementation constraints. Best Paper Awards at ACM SOSP (2013, 2015, 2017) Sloan Research Fellowship (2010) NSF CAREER Award (2011) MIT EECS Jamieson Award for Excellence in Teaching (2024) ACM SIGOPS Mark Weiser Award (2017) Amazon Research Award (2023) He advises PhD students through the PDOS research group with active grants from Amazon, Google, NSF, and DARPA. His teaching includes core courses like Computer Systems Security and Operating System Engineering, emphasizing hands-on security analysis. The PDOS lab maintains strong industry connections with multiple startup spin-offs and regular technology transfer to production systems. He leads the PDOS (Parallel and Distributed Operating Systems) Research Group, which focuses on building verified, secure, and high-performance systems through close collaboration between theory and practice.