جست‌وجوی استاد و پژوهشگر

Douglas D. Hodsonمشاهده پروفایل

استاد

• Computer Engineering
• Software Engineering
• Real-Time Distributed Simulation
• +۷ مورد دیگر

Douglas D. Hodson is a Professor of Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson AFB, Ohio, affiliated with the Department of Systems and Engineering Management within the Graduate School of Engineering and Management. He holds a PhD in Computer Engineering from AFIT (2009), an MBA and MS in Electro-Optics from the University of Dayton, and a BS in Physics from Wright State University. His research focuses on computer engineering, software engineering, real-time distributed simulation, and quantum communications , with a strong emphasis on Quantum Key Distribution (QKD) systems, modeling and simulation (M&S), and Live-Virtual-Constructive (LVC) environments. His work integrates cybersecurity, network performance, and advanced simulation frameworks such as AFSIM and SwarmSim. His recent publications (2021–2022) reflect a trend toward secure distributed systems, AI-driven classification, fog modeling in military simulations, and opinion dynamics in social systems. These works span disciplines including cybersecurity, artificial intelligence, defense modeling, and environmental effects in multi-domain operations. Scientific Awards and Honors: IEEE Senior Member (2021) Outstanding Achievement Award, World Congress in CSCE (2018) SOCHE Faculty Excellence Award (2017) Harold Brown Award (2015) Multiple AFIT Civilian Category III Awards (2014, 2013) Dayton Area Graduate Studies Institute Scholar (2003–2007) Rev. Raymond A. Roesch, S.M., Award of Excellence, University of Dayton MBA (1998) Advising and Grants: Dr. Hodson has advised numerous graduate students, many of whom are co-authors on his publications. His research has been supported by AFIT, AETC, and collaborative defense-focused grants, particularly in quantum communications and simulation technologies. He has led or contributed to teams receiving Air Force Modeling and Simulation Team Awards and QKD Research Team Awards. Labs and Teams: He is a key contributor to the AFIT Quantum Communications and Modeling & Simulation research teams, working on projects involving AFSIM, QKD system modeling, decoy state protocols, and swarm UAV simulation. His lab environment fosters interdisciplinary collaboration in cybersecurity, physics, and software engineering.

Darren Mundyمشاهده پروفایل

استاد

• Educational Technology
• Social media
• eGovernment communications and web-based channel shift
• +۹ مورد دیگر

Darren Mundy is Professor and Dean of the Faculty of Arts, Cultures and Education at the University of Hull, where he has been a faculty member since 2003. He has previously served as Head of School, Associate Principal, and Associate Dean, demonstrating sustained academic leadership. His work is centered in the Department of Screen within the Faculty of Arts, Cultures and Education. University: University of Hull School: Faculty of Arts, Cultures and Education Department: Screen Role: Dean and Professor Darren Mundy’s research focuses on the transformative role of technology in education and digital society. His early work explored engagement-enhancing technologies such as The Wild Thing and PAM-PAM, evolved into designing learning environments through the Euroversity project, and has matured into advancing critical digital literacies via the DETECT project. His interdisciplinary interests span educational technology, social media, eGovernment, information security, privacy, and eHealth. He has played a foundational role in establishing the Games Design program at Hull and has taught across web design, games art, and development for two decades. His recent publications reflect a strong trend in digital representation, technology acceptance models, and digital transformation, particularly in educational and governmental contexts. Articles such as 'An Analysis of Middle Eastern Female Athletes Visual Self-Presentation Strategies on Instagram' and 'Critical digital literacies at school level: A systematic review' highlight his focus on equity, representation, and critical engagement in digital spaces. His work often involves international collaboration and EU-funded initiatives. Darren has received recognition through multiple external examiner roles at institutions including the University of Bedfordshire, Coventry University, Ulster University, and the University of Bolton, underscoring his academic standing. He has led externally funded projects such as 'Who moved my block?' (AHRC) and 'DETECT' (European Commission), demonstrating his ability to secure research support. He has supervised over a dozen postgraduate students to completion, including eight PhDs and four MSc by Research students, and currently supervises a part-time PhD candidate exploring mixed reality applications for dementia care. His advisory work emphasizes real-world impact in technology-enabled learning and digital inclusion. Darren is also co-manager of the EU-funded Euroversity Network, promoting transnational educational collaboration. His leadership extends beyond research and teaching into institutional development and international academic service, making him a key figure in shaping digital education policy and practice.

Elizabeth Langranمشاهده پروفایل

استاد

• Digital Equity
• Educational Technology
• Teacher Education
• +۶ مورد دیگر

Dr. Elizabeth Langran is a Professor in the Department of Education Studies at Marymount University , specializing in educational technology and teacher education. With teaching experience in the U.S., Morocco (as a Peace Corps volunteer), and Switzerland, she brings a global perspective to her work. Ph.D. in Instructional Technology from the University of Virginia President of the Society for Information Technology & Teacher Education (SITE) Co-authored Navigating Place-Based Learning: Mapping for a Better World (2020) Her research focuses on digital equity , geospatial technology integration , and global citizenship education . She has collaborated on international projects in Nicaragua, India, Senegal, China, and other countries, emphasizing technology’s role in inclusive learning environments. Recent publications examine AI in educator preparation , augmented reality in STEM , and geospatial tools for critical inquiry . Her work bridges theoretical frameworks with practical applications for K-16 education.

Mitra Baratchiمشاهده پروفایل

دانشیار

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +۵ مورد دیگر

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.

• Digital Archiving
• Conventional Archiving
• Digital Preservation
• +۳ مورد دیگر

Christian Keitel is an Honorary Professor for Archival Science and Digital Archiving at the University of Applied Sciences Potsdam. He works at the Landesarchiv Baden-Württemberg, where he has served since 2000, currently as Deputy Head of Department 2 (Specialized Programs and Educational Work). His research focuses on conceptual principles of conventional and digital archiving, DIMAG systems, certification of digital archives, authenticity of digital records, and cooperative learning processes in digital archiving. University of Applied Sciences Potsdam – Honorary Professor (2015–) Landesarchiv Baden-Württemberg – Deputy Head of Department (2011–), Senior Archivist (2000–) Keitel’s scholarly work emphasizes digital preservation, metadata standards, and long-term archive certification. His publications address challenges in trustworthiness of digital repositories, significant properties of electronic records, and collaborative digital archiving frameworks. He co-authored DIN standards 31644 and 31645 for trustworthy digital archives. Recent articles highlight his contributions to digital ingest workflows, metadata extraction, and municipal archive solutions. His work explores intersections between traditional archival principles and modern digital challenges, including authenticity verification, system development, and cross-institutional cooperation.

Gabriel Lopez Millanمشاهده پروفایل

استاد

• Network Security
• Software-Defined Networking (SDN)
• Identity Management
• +۵ مورد دیگر

Gabriel Lopez Millan is a Professor in the Department of Information and Communication Engineering at the Faculty of Informatics, University of Murcia. His work focuses on network security, identity management, and software-defined networking (SDN) systems. PhD in Information and Communication Engineering University of Murcia, 2006 Research interests include network access control , AAA infrastructure , and IPsec management , with a strong emphasis on SDN and IETF standards . Recent work explores EDHOC protocol integration for IoT security and automated rekeying in IPsec associations. His publications from 2019–2025 highlight trends in SDN-based security , TLS configuration standards , and YANG modeling for network security. He has contributed to RFCs and educational accreditation frameworks like Euro-Inf. Gabriel Lopez Millan serves as a key researcher in the Intelligent Systems and Telematics group and has collaborated with projects such as DAMe and CLASSe for secure network federations.

Marika Apostolova Trpkovskaمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +۴ مورد دیگر

Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.

Yixuan Zouمشاهده پروفایل

مدرس

• Artificial Intelligence
• Wireless Communications
• Machine Learning
• +۷ مورد دیگر

Dr. Yixuan Zou is a Lecturer in Digital Signal Processing at the School of Electronic Engineering and Computer Science, Queen Mary University of London (QMUL). She co-teaches QMUL's Joint Programme with Beijing University of Posts and Telecommunications (BUPT). B.Sc. in Mathematics M.Sc. from Imperial College London Ph.D. in Computer Science, QMUL (2022) Her research focuses on applying artificial intelligence to wireless communications, specifically non-orthogonal multiple access (NOMA), IRSs/RISs-aided systems, and resource allocation for 6G networks. She integrates machine learning, deep reinforcement learning, and meta-learning techniques to optimize network performance. Recent publications highlight advancements in secure IoT node identification, UAV-assisted RIS-NOMA networks, STAR-RIS beamforming, and wideband near-field communication optimization. She contributes to IEEE conferences as a Technical Program Committee member and session chair. Academic Fellow at Digital Environment Research Institute (DERI) Dr. Zou supervises PhD students researching next-generation multiple access, AI-driven near-field communication, and human action recognition, while also serving as a reviewer for top-tier journals like IEEE TWC and IoT-J.

Michael Beverlandمشاهده پروفایل

استاد

• Brand Management
• Consumer Culture
• Marketplace Authenticity
• +۷ مورد دیگر

Michael Beverland is a Professor of Brand Strategy at the University of Sussex Business School, specializing in consumer culture and brand management. His research explores marketplace authenticity, digital person brands, and consumer work dynamics. Institution: University of Sussex Business School Key Focus: Authenticity, Consumer Agency, Digital Influence His work examines: Authenticity in brand-consumer relationships Digital influencers' emotional labor Design thinking in crisis response Cultural heritage and postcolonial branding Consumer journeys in educational contexts Recent publications address analog technology revival, sustainability tensions in sharing economy branding, and digital exploitation of influencers. He contributes to the ESRC Centre for Digital Futures at Work and blogs about social media influencer challenges. Scientific contributions include: Associate Fellow recognition Over 20 years of research on brand equity evolution Foundational work on brand authenticity measurement Pioneering studies on consumer fanaticism Policy briefs on manufacturing revitalization

• Machine Learning
• Statistics
• Model-Based Clustering
• +۵ مورد دیگر

Brendan Murphy is a Full Professor in the School of Mathematical Sciences at University College Dublin since 2015, previously holding a Professor role at the same institution (2007-2015) and a Lecturer position at Trinity College Dublin (1999-2007). He is a Principal Investigator at the Insight Centre for Data Analytics and actively works in Machine Learning & Statistics. Research Focus: His work centers on Model-based clustering Mixture models Applications in sports analytics, food science, microbiome studies, and public health Bayesian statistical methods High-dimensional data analysis Article Trends: Murphy's recent publications (2024-2025) emphasize soft clustering techniques, Bayesian mixture models, and their applications across diverse domains including metabolomics, political science, and oceanography. His work addresses challenges in variable selection, robust classification, and multi-omics integration.

Andrea Vitalettiمشاهده پروفایل

دانشیار

• Blockchain Technologies
• Internet of Things (IoT)
• Smart Environments
• +۷ مورد دیگر

Andrea Vitaletti is an Associate Professor at Sapienza University of Rome , affiliated with the Department of Computer Engineering, Automatics and Management Antonio Ruberti (DIAG) in the College of Engineering. His academic career spans over two decades of research in networking and algorithmic topics. PhD in Computer Science, Sapienza University of Rome (1998–2002) Assistant Professor (Ricercatore) at Sapienza (2007–2019) Co-founder of spin-offs WSENSE (2012–2019) and WLAB (2002–2016) Research Interests focus on decentralized systems , particularly blockchain technologies , Internet of Things (IoT) , federated machine learning , and data privacy . His work bridges theoretical algorithmic research with practical implementations in wireless sensor networks and distributed ledger systems. Scientific Contributions include over 90 publications, 2 patents, and leadership in the EU FET OPEN project PLEASED. His applied research has been recognized with multiple awards: 2000: Wonderland Contest - Media and Communication 2002: Simagine Innovation Prize 2004: Simagine Bronze Award 2007: Premio Perotto Top Prize 2012: Italiacamp Winner He leads the Wireless Sensor Networks lab at DIAG, supervising 2 PhD students, 1 post-doc, and 5 master students. His teaching portfolio includes courses on IoT, blockchain, cybersecurity, and digital entrepreneurship since 2000.

Mian M. Hamayunمشاهده پروفایل

دانشیار

• Computer Science
• Transaction Level Modeling (TLM)
• MPSoC Simulation
• +۱۵ مورد دیگر

Mian M. Hamayun is an Associate Professor of Computer Science and Head of Subject Group at the University of Birmingham Dubai campus, part of the College of Engineering and Physical Sciences. He holds a PhD in System Modelling, Simulation & Virtualization from the University of Grenoble Alpes, France, and has academic qualifications from Joseph Fourier University and COMSATS Institute of Information Technology, Pakistan. PhD in System Modelling, Simulation & Virtualization, University of Grenoble Alpes, 2013 MS in Informatics (Parallel & Distributed Systems), Joseph Fourier University, 2009 MSE in Software Engineering (Gold Medalist), COMSATS, 2005 PGCHE, University of Birmingham, 2021 FHEA and SFHEA, University of Birmingham (2021, 2024) His research spans Transaction Level Modeling (TLM) , MPSoC simulation , cloud computing , virtualization , Internet of Things/Vehicles , edge AI , and TinyML . He focuses on performance estimation, binary translation, and system-level simulation for embedded and distributed systems. The recent publications reflect a strong trend in IoT and vehicular networks , secure telemedicine , cloud orchestration , and embedded system simulation . His work integrates virtualization with security, real-time constraints, and machine learning on edge devices. Senior Fellow of the Higher Education Academy (SFHEA), 2024 Fellow of the Higher Education Academy (FHEA), 2021 Dr. Hamayun has supervised multiple research students and contributed to projects involving fatigue detection, person re-identification, retinal image analysis, and secure surgery frameworks. He has taught core computer science courses including Operating Systems, Networks, Data Structures, Algorithms, and Functional Programming at both undergraduate and postgraduate levels. His prior roles include Assistant Professor at NUST SEECS, R&D Engineer in France, and Lecturer at IUT1. He leads research in virtual prototyping and edge intelligence at the Dubai campus, contributing to smart city and cognitive systems initiatives. His lab work involves hybrid simulation environments, secure automotive platforms, and distributed IoT systems.

Raghav Sampangiمشاهده پروفایل

مدرس ارشد

• Usable Security and Privacy
• Computer Science Education
• Context-Aware Authentication
• +۹ مورد دیگر

Raghav Sampangi is a Senior Instructor in the Faculty of Computer Science at Dalhousie University, where he teaches courses in web development, server-side scripting, and usable security and privacy. He is also a Faculty Associate at the Centre for Learning and Teaching and actively contributes to pedagogical innovation and inclusive academic practices. Education: PhD, Dalhousie University, Canada (2015) M.Tech, University of Mysore, India (2011) B.Engg, VTU, Belgaum, India (2007) Raghav's research focuses on usable security and privacy , context-aware authentication , and innovations in computer science education , particularly compassionate teaching, ungrading, and student support. He is deeply committed to equity, diversity, and inclusion in computing and advocates for mental health and belonging in academia. His recent publications center on security in resource-constrained systems, including IoT, RFID, and wireless body area networks, often using bio-inspired cryptographic techniques. The work demonstrates a strong trend toward lightweight, adaptive, and context-sensitive security solutions. Scientific Awards: The Srini Award for Teaching Excellence (2021, 2018) Best Paper Award at Q2SWinet 2014 Best Paper in General Conference Program at SoftCOM 2014 Dalhousie Impact Leadership Award (2014) Faculty Appreciation Award (2015) Parvathamma Subbaraya Gold Medal (University of Mysore) Raghav advises students through community outreach courses and research projects. He leads multiple educational initiatives, including ungrading research and first-year student support. He is co-lead of the D-LITE Belong Cluster and the Halifax Chapter of Canada Learning Code, and is a Cultural Competence in Computing (3C) Fellow at Duke University. His service includes advocacy with Dragonfly Mental Health and the READI Group, promoting compassionate and inclusive academia. He is actively involved in lab and team-based research on usable security and CS education, collaborating with industry, alumni, and students to revise curricula and develop inclusive learning environments.

• Cybersecurity
• Internet of Things (IoT)
• Artificial Intelligence (AI)
• +۱۲ مورد دیگر

Jawad Ahmad is a Lecturer in the School of Computing, Engineering and the Built Environment at Edinburgh Napier University . His work is closely associated with the Centre for Cybersecurity, IoT and Cyberphysical Systems and the Centre for Distributed Computing, Networking and Security , where he contributes to cutting-edge research in secure and intelligent systems. His research interests are centered on cybersecurity , artificial intelligence , and Internet of Things (IoT) technologies. He focuses on developing advanced intrusion detection systems, privacy-preserving frameworks using federated learning and homomorphic encryption, and secure data transmission mechanisms leveraging chaos-based and quantum-inspired encryption. His interdisciplinary work extends to healthcare, smart agriculture, and environmental monitoring, demonstrating the broad applicability of his research. The analysis of his recent publications reveals a strong trend toward AI-driven security solutions, particularly using deep learning models like transformers and attention mechanisms for network intrusion detection. He also explores the integration of machine learning with blockchain and distributed ledgers for trusted threat intelligence sharing. His work consistently emphasizes real-world deployment, performance optimization, and resilience against cyber threats in industrial and healthcare settings. Funded Research Projects: Data Sharing in Highly Secure Environments (Innovate UK, £273,181) PhD Studentship on Homomorphic Encryption (6G Health Institute GmbH, £35,082) TrustShare: Privacy-Preserving Threat Intelligence Sharing (Innovate UK, £31,386) Cyber Hunt: Automated Cyberthreat Hunting (Norway Research Council, £37,500) AI Dashboard for COVID-19 Sentiment Analysis (Chief Scientists Office, £135,104) Dr Ahmad actively supervises postgraduate research, currently serving as Director of Studies for Hisham Ali and as second supervisor for other PhD candidates. He is involved in multiple collaborative research teams focusing on cybersecurity, AI, and IoT, often working with Prof Bill Buchanan and other leading researchers in the field. His research is published in high-impact journals such as IEEE Access , Frontiers in Computational Neuroscience , and Sensors , and presented at international conferences.

• Computer Systems
• Cybersecurity
• Systems Security
• +۱۲ مورد دیگر

Jingjie Li is a Lecturer (Assistant Professor) in the School of Informatics at the University of Edinburgh, where he conducts interdisciplinary research at the intersection of computer systems, cybersecurity, and human-computer interaction. He is a member of the Institute for Computing Systems Architecture and the School of Informatics Ethics Committee. Ph.D. in Computer Engineering, University of Wisconsin-Madison (2017–2023) B.Eng. (R&D) with First-Class Honours, Australian National University (2015–2017) B.Sc., Beijing Institute of Technology (2013–2015) His research focuses on user-centric security and privacy , measuring human behavior in digital systems , and efficient human-machine interfaces . He investigates risks in emerging technologies such as smart homes, AR/VR, and AI systems, aiming to make them safer and more human-centric. His work combines technical innovation with behavioral insights to design practical privacy controls, measure digital risks, and build efficient computing platforms. The recent publications highlight a strong trend in privacy transparency , AI explainability , smart home and AR/VR security , and hardware-software co-design . His work frequently appears in top-tier venues including IEEE S&P, USENIX Security, ACM CHI, and ISCA, reflecting a consistent focus on both technical depth and human factors. Notable scientific awards include: ACM CHI Best Paper Award (2019) Facebook Trustworthy Products in AR, VR, and Smart Devices Award (2021) CPS Rising Star, NSF (2022) Generative AI Laboratory Seedcorn Award, University of Edinburgh (2024) Qualcomm Innovation Fellowship Finalist (2019, 2021) Jingjie Li actively supervises PhD students including Jiuming Jiang and Karen Jiamin Zheng, and co-supervises Lawrence Piao and Temima Hrle. He has received research support through fellowships such as the UW–Madison Chancellor’s Opportunity Fellowship and has collaborated globally with institutions including Max Planck Institute, Visa Research, and CSIRO. He serves on the program committees of major conferences like ACM CCS, USENIX Security, and ACM CHI. He leads a dynamic research team focused on systems security and human-centered computing, hosting undergraduate researchers and mentoring students through projects in privacy, AI transparency, and hardware security. His lab fosters interdisciplinary collaboration and real-world impact through community engagement, such as the 'Hack Your Age' workshop with intergenerational participants.