جست‌وجوی استاد و پژوهشگر

Zhongwei Zhangمشاهده پروفایل

مدرس ارشد

• IoT Applications
• Network Security
• Data Analytics
• +۵ مورد دیگر

Dr. Zhongwei Zhang is a Senior Lecturer at the University of Southern Queensland's School of Mathematics, Physics and Computing. He holds a BSc from Harbin Institute of Technology (1986), MSc from Vrije Universiteit Amsterdam (1993), and PhD from Monash University (1998). His research focuses on IoT applications in healthcare and agriculture, network security, data analytics, and ethics in emerging technologies. He has published over 67 articles in journals like IEEE Communications and Journal of Applied Animal Nutrition. He teaches courses such as CSC1310 Interworking and CSC8470 Network Security Management, integrating industry skills like project management and ethical decision-making. His supervisions include doctoral studies on IoT security and healthcare systems. He has contributed to grants like the Australian Research Council’s 2016 project on poultry nutrition and sensor networks in structural health monitoring. His research interests bridge theoretical and practical aspects of IoT, emphasizing cybersecurity, data privacy, and ethical technology use. Notable works include developing frameworks for healthcare IoT systems and secure authentication protocols for electronic health records.

Jiangang Maمشاهده پروفایل

مدرس ارشد

• Data Science
• Algorithms Design
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Jiangang (Mike) Ma is a Senior Lecturer in Information Technology at Federation University Australia's Institute of Innovation, Science and Sustainability (IISS). Previously, he held academic positions at James Cook University and Victoria University, focusing on data science and IoT research. He earned his PhD in Computer Science from Victoria University and a Master's in Information Technology from Queensland University of Technology. His research interests include data science, algorithms design, artificial intelligence, image/video processing, IoT, and health informatics. He has published over 40 papers in top-tier conferences/journals such as IEEE ICDM and IEEE ICDE. Current research projects involve anomaly detection in healthcare, real-time IoT activity identification, and big data similarity search. Dr. Ma's work spans cloud service selection frameworks, medical data stream analysis, and deep learning applications. He supervises PhD students and collaborates on grants related to healthcare IoT and data mining. His contributions include frameworks like WS-Finder and Cloud-FuSeR, addressing challenges in service discovery and SLA assurance. Labs/Teams: Active participant in the IISS's interdisciplinary research groups, contributing to projects in health informatics and IoT applications.

Jennifer Tankمشاهده پروفایل

استاد

• Aquatic ecology
• Biogeochemistry of streams and rivers
• Nutrient cycling and transport
• +۴ مورد دیگر

Jennifer Tank is the Ludmilla F., Stephen J., and Robert T. Galla Professor of Biological Sciences at the University of Notre Dame and Director of the Notre Dame Environmental Change Initiative (ND-ECI). She leads the Tank Lab, focusing on aquatic ecology and biogeochemistry, particularly nitrogen and carbon cycling in streams impacted by agricultural and urban land use. Her work bridges scientific research with policy outreach to improve freshwater management. Education: Ph.D., Virginia Tech (Biological Sciences) Postdoctoral Research: Virginia Tech and Oak Ridge National Laboratory Research Themes: Role of streams in mitigating nutrient pollution (nitrogen/phosphorus) Efficacy of agricultural conservation practices like cover crops Floodplain restoration via 'two-stage ditch' systems Environmental DNA (eDNA) dynamics in flowing waters Climate change impacts on Arctic and Midwestern ecosystems Awards: 2013 Leopold Leadership Fellow 2020 AAAS Fellow SFS Fellow (Society for Freshwater Science) Labs/Teams: Directs ND-ECI and oversees the Notre Dame Linked Experimental Ecosystem Facility (ND-LEEF), a unique replicated watershed research site. Her Stream Team includes graduate students (e.g., Abagael Pruitt, Emma Thrift) and postdocs (e.g., Moh Aboelnour) studying agricultural biogeochemistry and translational ecology.

• Mobile Cloud Computing
• Mobile Middleware
• Mobile Ad-hoc Networks (MANET)
• +۴ مورد دیگر

Dan Emanoil Grigoras is a Senior Lecturer in the Department of Computer Science at University College Cork (UCC), Ireland. He holds a PhD from Politehnica University of Bucharest and previously served as a Professor at Technical University Iasi (2000-2001). His research focuses on mobile cloud computing, middleware systems, mobile ad-hoc networks (MANET), and smart city applications. He leads the Mobile and Cluster Computing Group at UCC, coordinating research on mobile middleware, cloud services, and sensing technologies for urban environments. Education: PhD in Computer Science, Politehnica University of Bucharest (1994) MSc in Electrical Engineering, Technical University Iasi (1981) BSc in Electrical Engineering, Technical University Iasi (1981) Research Interests: Mobile cloud architecture, context-aware systems, MANET protocols, smart city sensing, middleware frameworks, and distributed computing systems. Grigoras has led multiple research grants, including a €72,000 IRCSET-funded project on mobile cloud user experience (2012–2016) and an Enterprise Ireland-funded healthcare project. He initiated UCC's MSc in Software and Systems for Mobile Networks (2005–2011) and currently teaches advanced modules in middleware, mobile systems, and operating systems. Awards: Best Paper Award, CloudTech 2018 Cloud Challenge Award, IEEE/ACM Utility and Cloud Computing 2015 Grants & Advising: Current advising: 1 PhD student and 3 MSc students Research streams include MANET management via cloud services and context-aware middleware Labs & Affiliations: Member of the Mobile and Internet Systems Laboratory (MISL) Member of the Boole Centre for Research in Informatics (BCRI)

• Wireless Networks
• Ad Hoc Networks
• Media Streaming
• +۳ مورد دیگر

Marwan M. Krunz is a Professor of Electrical and Computer Engineering at the University of Arizona and serves as the UA site director of Connection One, an NSF/state/industry research center focused on RF and wireless systems. His research expertise includes wireless ad hoc networks, media streaming technologies, packet scheduling, buffer management, and QoS provisioning. With over 150 publications and three US patents, Krunz has made significant contributions to wireless network security, cognitive radio systems, and resource management in wireless communications. His work develops solutions for spectrum sharing, secure data collection in sensor networks, and defense against jamming attacks. Professor Krunz is an IEEE Fellow and NSF CAREER Award recipient. He has held visiting positions at INRIA (France), HP Labs, and Paris VI University, maintaining international research collaborations.

• Wireless Communications
• Network Optimization
• Quality of Service (QoS)
• +۳ مورد دیگر

Francisco M. Delicado Martínez is an academic researcher specializing in telecommunications, wireless networks, and IoT applications. His work focuses on Quality of Service (QoS) mechanisms, Software Defined Networks (SDN), and blockchain integration in fog computing environments. He has contributed to optimizing resource allocation in OFDMA and IEEE 802.16 networks, and developed IoT-based systems for environmental monitoring (e.g., glyphosate detection, agrochemical spray drifts, and Aedes aegypti surveillance). His recent research emphasizes low-cost IoT ecosystems and blockchain-driven e-government services for public administration and construction management. Research interests span across wireless communications, network optimization, and distributed computing architectures. His publications address challenges in contention resolution, bandwidth request mechanisms, and machine learning integration for disease vector monitoring. Collaborations include projects on fog computing orchestration, SDN-based network enhancements, and multimedia transmission over TDMA/TDD wireless networks. Key contributions include the S-HIDRA architecture (blockchain & SDN for fog computing), DriftGLY and SpectroGLY IoT systems, and the MosquIoT framework for mosquito population monitoring. His work bridges theoretical network protocols with practical applications in agriculture, public health, and smart infrastructure.

Adam Kennedyمشاهده پروفایل

پژوهشگر

• Data Management
• Ecosystem Ecology
• Wireless Communication
• +۴ مورد دیگر

Adam Kennedy serves as a Cyberinfrastructure Architect within the Department of Forest Ecosystems & Society at Oregon State University's College of Forestry. His role focuses on developing robust data systems to support environmental research, particularly in forest hydrology and ecosystem monitoring. His educational foundation includes: B.S. in Environmental Sciences and Resources (2004) from Portland State University with a Biology minor M.S. in Environmental Sciences and Resources (2006) from Portland State University with a Hydrology certificate Completed PhD coursework and comprehensive exams in Environmental Sciences (2012) alongside an Ecosystem Informatics Certificate through the IGERT program Dr. Kennedy's research integrates data engineering with ecological science, specializing in real-time environmental monitoring systems. His primary interests encompass Data Management, Ecosystem Ecology, Long-range Wireless Communication, Quality Control Algorithms for Streaming Data, and Sensor Network Best Practices. This interdisciplinary approach enables advanced studies of forest canopy processes and hydrological dynamics through innovative technological solutions. Analysis of his publication trajectory reveals consistent focus on canopy hydrology and sensor technology applications. His recent work (2019-2022) demonstrates sophisticated modeling of dewfall dynamics using machine learning, while earlier research pioneered distributed temperature sensing for stream ecosystems and explored climate-streamflow relationships through teleconnection indices. The body of work shows progressive technical refinement in environmental data acquisition and analysis. No scientific awards are documented in the available sources, though his contributions to environmental data infrastructure are substantiated through technical publications and system development. Information regarding graduate student advising or research grants is not publicly accessible in the provided materials. Dr. Kennedy contributes to the Ecosystem Informatics initiative through his development of real-time data systems, as evidenced by his work on provisional data graphs and sensor network infrastructure. His technical expertise supports long-term ecological research at facilities like the HJ Andrews Experimental Forest, enabling high-resolution environmental monitoring across complex forest landscapes.

Nadia Kanwalمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Machine Learning
• Data Privacy and Security
• +۹ مورد دیگر

Nadia Kanwal is a Senior Lecturer in Computing at Keele University’s School of Computer Science and Mathematics. She holds a PhD in Computer Science from the University of Essex (2013) and a Marie Skłodowska-Curie Research Fellowship (2018–2022). As Program Director of the Data Science Apprenticeship Degree Program, she focuses on bridging academic and industry needs in computing education. Her research spans Computer Vision , Machine Learning , and Data Security , with emphasis on privacy-preserving surveillance systems, healthcare applications, and ethical AI. Notable projects include: Developing secure video storage systems with EU-funded grants (€256,200) Leading projects on federated learning for emotion recognition via smart clothing (€77,000 grant) Designing encryption frameworks for CCTV systems compliant with GDPR Her work has been published in top-tier venues like IEEE Access , Applied Sciences , and Security and Communication Networks . She has supervised multiple PhD students through grants from Enterprise Ireland and the President Doctoral Scholarship program. Recognition includes Senior Fellow status from Advance HE (2022) and IEEE Senior Membership (2019). Her recent research trends focus on: privacy-aware video analytics , AI ethics in healthcare , and edge computing for real-time surveillance . Current grants include a £29,548 MDUK study on motor skill assessment in muscle-wasting conditions (2022) and a €15,000 feasibility grant for secured video storage systems (2020).

• Artificial Intelligence in Industry
• Machine Learning
• Forecasting
• +۴ مورد دیگر

Symone Gomes Soares Alcalá is a Professor at the Federal University of Goiás (Brazil) and a former postdoctoral researcher at the IIT Connected Industry Chair (Madrid, Spain). She holds a Ph.D. in Electrical and Computer Engineering from the University of Coimbra (Portugal) and a B.Sc. in Computer Engineering from PUC-GO (Brazil). Her research focuses on applying Artificial Intelligence, Machine Learning, and Vision Systems to industrial contexts, including predictive maintenance, additive manufacturing, and supply chain optimization. Education : Ph.D. in Electrical and Computer Engineering, University of Coimbra (2015) B.Sc. in Computer Engineering, Pontifical Catholic University of Goiás (2009) Research Interests : Symone’s work integrates computational intelligence with industrial processes. Key areas include: AI-driven defect detection in additive manufacturing Machine learning for demand forecasting and inventory management Low-Code platforms for digital transformation Optimization of distributed production systems Predictive maintenance algorithms Her methodologies often involve ensemble learning, neural networks, and vision systems. Publications : Her articles span journals like IEEE Transactions on Industrial Informatics and Production Engineering , focusing on applications like defect detection, supply chain design, and adaptive learning systems. Recent work emphasizes AI in manufacturing and industrial IoT integration. Awards : Recipient of the CAPES Elsevier 2024 Award for impactful research in Exact Sciences in Brazil’s Central-West region. Grants & Collaboration : Her research has been supported by collaborations with institutions like the Portuguese Institute of Systems and Robotics (ISR-Coimbra) and industry partnerships. Projects include developing digital twin systems and optimizing additive manufacturing supply chains. Labs & Teams : She leads interdisciplinary teams at the Federal University of Goiás, focusing on AI applications in industry and collaborative R&D with the IIT’s Connected Industry group.

Anton Dignösمشاهده پروفایل

دانشیار

• Temporal Databases
• Time Series Data
• Data Analytics
• +۳ مورد دیگر

Anton Dignös is a tenured Associate Professor at the Free University of Bozen-Bolzano, Faculty of Engineering, where he leads the Database Systems Research Group. He holds a PhD from the University of Zurich (2014) and has been a faculty member since 2014. His research focuses on temporal databases, time series data, and data analytics, with contributions to indexing, query optimization, and benchmarking tools like TSM-Bench and SEER. Education : BSc and MSc (Computer Science) - Free University of Bozen-Bolzano (2008, 2010) PhD (Dr. sc. in Computer Science) - University of Zurich (2014) Research Interests : Dignös specializes in temporal database systems, time series management, and efficient query processing. He develops novel indexing techniques (e.g., RD-INDEX) and tools for benchmarking time series systems (SEER, TSM-Bench). His work addresses challenges like anomaly detection, sparse data summarization, and parallel join algorithms. Awards : Best Paper Award at SSDBM 2023 Best Paper Award at ADBIS 2022 ACM Computing Reviews Best of Computing (2017) Teaching & Advising : Teaches Data Management and Applied Informatics courses at both BSc and MSc levels. Advises ~25 students (PhD/MSc/BSc) on topics like temporal databases and machine learning applications. Active in thesis supervision and course development. Labs/Teams : Leads the Database Systems Research Group, collaborating on projects like the Period Index for temporal data and VISOR for data visualization tools.

Sergio Rodriguezمشاهده پروفایل

استاد پژوهشی

• Sustainable Construction
• Building Information Modeling (BIM)
• Circular Economy
• +۷ مورد دیگر

Sergio Rodriguez is a Research Professor at Teesside University's Engineering Centre for Sustainable Engineering within the School of Computing, Engineering and Digital Technologies. His work focuses on the intersection of digital technologies and sustainable construction practices, with particular expertise in Building Information Modeling (BIM), semantic web technologies, and circular economy principles applied to the built environment. Rodriguez actively supervises PhD students and maintains a robust research profile with numerous publications in high-impact journals. Professor Rodriguez's research centers on sustainable construction methodologies, with significant contributions to construction waste management, smart city technologies, and energy efficiency in buildings. His work bridges theoretical frameworks with practical applications, developing ontological models for circularity assessment, frameworks for interoperability in smart cities, and machine learning approaches for energy prediction. He has pioneered BIM-integrated semantic frameworks that enable more accurate waste quantification and optimization in construction projects, addressing critical sustainability challenges in the industry. Rodriguez's publication record demonstrates a clear evolution from foundational BIM research toward more sophisticated applications involving semantic interoperability, digital twins, and circular economy principles. His recent work shows increasing integration of machine learning techniques with traditional engineering approaches, particularly in energy management and waste reduction. The research consistently addresses real-world challenges in construction sustainability while maintaining strong theoretical underpinnings in semantic technologies and information modeling. As an active supervisor accepting PhD students, Rodriguez contributes to the next generation of sustainable engineering researchers. His collaborative approach is evident through extensive co-authorship with colleagues across Teesside University and international institutions, reflecting the interdisciplinary nature of sustainable construction research that spans engineering, computer science, and environmental studies.

Naseer Al-Jawadمشاهده پروفایل

مدرس ارشد

• Image Processing
• Medical Imaging
• Video Processing
• +۴ مورد دیگر

Dr. Naseer Al-Jawad is a Senior Lecturer in Computing at the School of Computing, part of the Faculty of Computing, Law and Psychology at the University of Buckingham. He holds a BSc from Basrah University (Iraq), an MSc from Baghdad University (Iraq), and a PhD in Computer Science from the University of Buckingham (UK). His teaching spans foundational computing courses, including Data Structures, Object-Oriented Programming, and Research Methods for Postgraduates, alongside project supervision at both undergraduate and postgraduate levels. His research interests focus on image and video processing, medical imaging (e.g., breast cancer and melanoma detection), biometric systems (face/gait recognition, Arabic handwriting analysis), and IoT-driven Smart Home systems. He has pioneered work in deep learning for video compression, fusion of audio-visual data for authentication, and steganography techniques. Recent projects include developing adaptive multi-user Smart Home frameworks and enhancing content-based video indexing with wavelet transforms. Dr. Al-Jawad’s publications span topics like facial expression recognition using 3D Kinect data, indoor localization via smartphone networks, and secure real-time video transmission. His work emphasizes practical applications in healthcare, cybersecurity, and disaster management networks. His academic contributions include overseeing student projects and collaborating on interdisciplinary initiatives such as UNILS (indoor localization) and sosMesh (disaster communication frameworks). He actively contributes to conferences like SPIE and MIUA, addressing challenges in multimedia processing and biomedical image analysis.

Urban Lienertمشاهده پروفایل

مدرس

• Jazz Performance
• Music Technology
• Software Development for Music
• +۳ مورد دیگر

Urban Lienert is a Lecturer at the Lucerne School of Music within Lucerne University of Applied Sciences and Arts. His primary affiliations include the Institute of New Music, Composition and Theory. He holds a background in Jazz bass performance and music technology, having studied at Hochschule Luzern – Musik under Heiri Känzig and Herbie Kopf until 1997. Research focuses on the intersection of music performance and technology, including development of software applications for iOS/macOS, musical interface design, and sound installations. Notable projects include MIDI Touch Bar integration (miditouchbar.ch), Pd Blocks external for Roli Blocks, and sound art installations like 'Space Friction' (2022) and 'Sonic Umbrellas' (2022). Teaching responsibilities include Computer Courses, Jazz Theory, and Jazz Ensemble instruction in non-degree programs. Active in open-source communities, maintaining repositories on GitHub including 'blocks' for Roli Blocks integration and 'squeezelite-esp32' for music streaming solutions. Collaborates with artists in Switzerland and internationally through jazz formations like Manufactur and Gilbert Paeffgen Trio.

Alessandro D'Innocenzoمشاهده پروفایل

مدرس

• Control Systems
• Communication Networks
• Wireless Sensor Networks
• +۳ مورد دیگر

Alessandro D'Innocenzo is a Lecturer at the Department of Information Engineering, Computer Science and Mathematics at the University of L'Aquila. He has been actively involved in teaching courses such as 'Modelling and control of communication networks' and 'Control Systems' since 2009, contributing to both undergraduate and graduate education. His academic role also includes co-lecturing PhD courses like 'Modeling, analysis and design of wireless sensor and actuator networks' in collaboration with Prof. Carlo Fischione (KTH). His research focuses extensively on control systems, wireless communication networks, and stochastic systems. Key areas include optimal control over Markovian channels, model predictive control (MPC) for power electronics, and data-driven modeling using regression trees and neural networks. He explores interdisciplinary topics such as energy retrofit of buildings and cybersecurity in cyber-physical systems, demonstrating a strong commitment to both theoretical and applied research. Alessandro has published extensively on networked control systems, Markov jump systems, and machine learning applications in control. His work emphasizes the co-design of control and communication protocols, stability analysis under uncertainty, and real-time implementations using FPGA and embedded systems. Notable contributions include frameworks for secure state estimation over wireless channels and efficient MPC solutions for cascaded inverters. Despite his prolific publication record, there are no awards explicitly mentioned in the provided texts. His teaching and research have been consistently active across multiple academic years, reflecting a dedicated academic career in systems and control engineering.

Sabrina Senatorمشاهده پروفایل

استاد

• Computational Intelligence
• Fuzzy Logic Systems
• Machine Learning
• +۷ مورد دیگر

Sabrina Senator is a Full Professor at the University of Salerno, based in the Department of Information and Electrical Engineering and Applied Mathematics (DIEM). She is stationed at the Fisciano Campus in Room 035 of Building F, Fourth Floor. Her office hours are Monday 11:00–13:00 and Friday 15:00–17:00, with appointments outside these hours available upon request. Research Interests: Her work focuses on computational intelligence, fuzzy logic systems, and their applications across diverse domains. Key areas include knowledge engineering, machine learning, IoT-driven environmental monitoring, emotion-based classification from social media streams, and semantic sensor networks for quality control. She also explores interdisciplinary topics such as disaster risk assessment, agricultural systems modeling, and medical informatics, leveraging fuzzy clustering and formal concept analysis techniques. Dr. Senator has contributed to numerous conferences and journals, including the ICDSMLA series (e.g., 2022 and 2021 editions). Her research projects involve multi-agent systems, semantic web services, and agent-based modeling for precision agriculture and UAV applications. She maintains active participation in laboratory activities (as indicated by the 'Laboratori' section), though specific lab details are not provided. No academic awards or formal student advisees are listed in the available information.