جست‌وجوی استاد و پژوهشگر

• High-performance computing
• Modelling of Acoustic Wave devices
• Embedded system design
• +۳ مورد دیگر

Dr. Glenn Matthews is a Senior Lecturer in the School of Engineering at RMIT University, specialising in Electrical and Computer Engineering. He holds positions in both academic and research capacities, including Principal Investigator roles at CSIRO and Smart Services CRC. His teaching responsibilities include coordinating undergraduate courses such as Introduction to Engineering Computing and Engineering Design modules. Dr. Matthews' research focuses on high-performance computing, acoustic wave device modeling using Finite Element Method (FEM), and embedded system design. Notable projects include developing FEM software for SAW device analysis and investigating asynchronous computing architectures for high-throughput systems. He has supervised numerous research projects spanning machine learning applications in clinical analysis, gas sensing technologies, and neuromorphic learning. His work integrates hardware-software co-design principles, with contributions to radar SLAM systems, mercury vapor sensors, and neural network frameworks like SwiftSpike. Dr. Matthews collaborates with industry partners through ARC Linkage Grants and maintains affiliations with IEEE and DSP/Embedded Systems groups. His research outputs include over 20 peer-reviewed articles, with impactful contributions to sensor technology, circuit design, and biomedical applications.

Xiaoyu Xiaمشاهده پروفایل

مدرس

• System Privacy and Security
• AI Privacy
• Parallel and Distributed Computing
• +۴ مورد دیگر

Dr. Xiaoyu Xia is a Lecturer (equivalent to Assistant Professor in North America) in Cybersecurity & Software Systems at RMIT University's School of Computing Technologies. He received his PhD with the prestigious Alfred Deakin Medal from Deakin University, Australia, and has established himself as a leading researcher in distributed systems and cybersecurity with over 50 peer-reviewed publications in top-tier venues including IEEE S&P, ACM WWW, and IEEE Transactions. Dr. Xia's research spans critical areas at the intersection of computing and security: System Privacy and Security Distributed Systems and Edge Computing AI Privacy and Machine Learning Systems Sustainable Computing Cybersecurity and Privacy-Preserving Technologies His recent work demonstrates a clear trajectory toward developing practical privacy-preserving frameworks for emerging technologies, particularly in edge computing environments and large language models. Dr. Xia has made significant contributions to machine unlearning, secure data management in distributed systems, and energy-efficient edge computing solutions that balance performance with sustainability concerns. Dr. Xia has received notable recognition for his scholarly impact: World's Top 2% Scientists by Stanford University (2022-2024) Alfred Deakin Medal for PhD research excellence (2021) Teaching Excellence Award from Swinburne University of Technology (2021) As an active researcher, Dr. Xia currently leads multiple funded projects including an ARC Discovery Project grant worth over $500,000 for developing privacy-aware intelligent digital twins for secure critical infrastructures. He is open to supervising motivated PhD students with interests in system security and privacy, and distributed ML systems. Dr. Xia serves the academic community through editorial roles as Associate Editor for IEEE Transactions on Dependable and Secure Computing and as a Review Board Member for IEEE Transactions on Parallel and Distributed Systems, and regularly participates in program committees for major conferences including ACM WWW and IEEE ICDCS.

Hakima CHAOUCHIمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Wireless Networks
• Mobile Computing
• +۵ مورد دیگر

Professor Hakima CHAOUCHI is affiliated with Telecom SudParis, part of the NeSS group. Her primary research focuses on Internet of Things (IoT), wireless networks, RFID technology, and cyber-physical systems. She has contributed extensively to advancements in IoT infrastructure, localization techniques, and network security. Research interests include IoT architecture, RFID-enabled systems, distributed edge computing, and energy-efficient protocols. Her work spans topics like anomaly detection in IoT data, resilient cyber-physical systems, and resource allocation in 5G networks. Key contributions include the PrIoT project for IoT prototyping, studies on dynamic resource allocation in HetNets, and frameworks for mobile cloud computing privacy. She has authored multiple books and book chapters on IoT and wireless networks, including The Internet of Things: Connecting Objects to the Web . Her publications emphasize practical applications like industrial autonomous systems, vehicular networks, and edge AI integration. She collaborates actively with industry and academia, contributing to standards like MIH-IEEE 802.21 and security protocols for mobile networks.

Bestoun S. Ahmed Al-Beywaneeمشاهده پروفایل

استاد

• Quality Assurance of Machine Learning Systems
• Software Testing
• Trustworthy AI Systems
• +۵ مورد دیگر

Bestoun S. Ahmed Al-Beywanee is a Professor in AI and Software Engineering at the Department of Mathematics and Computer Science, Karlstad University, Sweden. He joined the university as a Senior Lecturer in 2019, was promoted to Associate Professor in 2020, and to Professor in 2023. His roles include teaching advanced courses such as AI Engineering, Automated Software Engineering, and Software Testing Fundamentals. His research focuses on software quality assurance, trustworthy AI systems, and MLOps, with a strong emphasis on combinatorial testing, IoT systems, and applied optimization techniques. Education: BSc (Electrical and Electronic Engineering, University of Salahaddin-Erbil, 2004); MSc (University Putra Malaysia, 2009); PhD (Software Engineering, University Sains Malaysia, 2012). Postdoctoral research at the Swiss AI Lab IDSIA (2015) and positions at Salahaddin University and Czech Technical University further enriched his expertise. Research interests span Quality Assurance of machine learning systems, software testing methodologies, trustworthy AI, IoT system reliability, and optimization algorithms. He has pioneered frameworks like PatrIoT for IoT testing and contributed to MLOps robustness. His work integrates machine learning with anomaly detection, adaptive systems, and industrial applications. Recent articles highlight advancements in data-driven heat pump management, MLOps robustness, and edge-cloud AR/VR optimization. Collaborations include projects on digital twins, smart manufacturing, and industrial IoT. His contributions bridge theoretical research with practical industrial solutions, emphasizing system reliability and AI ethics.

Tatiana Fedykمشاهده پروفایل

استاد

• R&D Investments
• Earnings Quality
• Financial Management Tools
• +۷ مورد دیگر

Professor Tatiana Fedyk is a Full-Time Faculty member in the Department of Accounting at the University of San Francisco's School of Management. She holds a Ph.D. in Accounting from UC Berkeley (2008) and has prior academic roles at UC Berkeley, Arizona State University, and professional experience as a CFO in private equity. Her research focuses on R&D investments, earnings quality, accrual anomalies, and audit processes. She actively contributes to institutional governance through roles like Co-Chair of the SOM Strategic Planning Committee and EMBA Redesign Committee. Education: Ph.D., Accounting, UC Berkeley, 2008 C.P.A., Moscow, Russia, 1996 M.S., Mechanical Engineering, Moscow State University, 1990 B.S., Mechanics and Mathematics, Moscow State University, 1988 Her research explores topics like R&D investment decisions in IPO firms, accrual anomaly persistence, and audit quality dynamics. She has published in journals such as Review of Accounting Studies and Contemporary Accounting Research . Notable awards include the Western Decision Sciences Institute Best Paper Award (2016, 2018) and Berkeley's Teaching Effectiveness Award (2006). Her work bridges academic rigor with practical consulting experience, emphasizing STEM firms' financial reporting strategies and the impact of AI on audit processes. She advises on strategic planning at USF and remains dedicated to student professional development.

• Structural Engineering
• Civil Engineering
• Reinforced Concrete Structures
• +۷ مورد دیگر

Diego Gino is a Fixed-term Assistant Professor in the Department of Structural, Geotechnical and Building Engineering (DISEG) at Politecnico di Torino, Italy, affiliated with the College of Civil and Building Engineering. He holds a scientific disciplinary focus in Structural Analysis and Design (CEAR-07/A) within the broader area of Civil Engineering and Architecture. His research centers on the safety and reliability assessment of reinforced and prestressed concrete structures, particularly through nonlinear finite element analysis. Key areas include seismic reliability of friction-isolated structures, strain-based safety factor estimation, and experimental evaluation of aged concrete infrastructure. His work bridges theoretical research and practical application in structural engineering. Diego Gino teaches several courses including Nonlinear Finite Element Analysis for the Safety Assessment of Reinforced Concrete Structures (as course owner), Seismic Reliability and Robustness of Friction-Isolated Structures , and Design and Construction of Bridges . He has been consistently involved in teaching Structural Design and bridge-related courses since 2019, serving as lecturer and collaborator across Civil and Building Engineering programs. He also contributes to industry-linked educational initiatives such as Challenge@PoliTo. His recent publications, primarily in journals like Engineering Structures and Structural Concrete , focus on strain-based safety assessment methods, reliability evaluation using nonlinear models, and experimental studies on long-serving prestressed concrete bridge elements. These works reflect a strong trend toward practical safety evaluation of aging infrastructure using advanced computational and experimental techniques. Scientific Awards: No scientific awards mentioned in the provided text. Diego Gino supervises PhD student Gabriele Neri in the Civil and Environmental Engineering program (40th cycle, 2024–ongoing), indicating an active role in research mentorship. He is involved in a commercial research project (2025–2027) titled Collaboration to provide students with practical evidence of what is offered in the courses taught , which involves service provision and industry collaboration, enhancing educational outcomes through real-world applications. Laboratories and Research Groups: Member of a Research Group focused on commercial service provision in structural engineering education and practice. Active in research related to nonlinear numerical analysis (NLNA) and experimental structural assessment.

• Conservation Biology
• Road Ecology
• Linear Infrastructures

Marcello D'Amico holds a Researcher position at the Department of Conservation Biology, Estación Biológica de Doñana (Spanish National Research Council, CSIC), where he has been since May 2021. Previously, he held postdoctoral roles at the Universidade do Porto (2019–2021) and IDAEA-CSIC (2018–2019). He earned his PhD in Conservation Biology from Pablo de Olavide University (2015–present), receiving a distinction for his doctoral work. His research focuses on Road Ecology, Conservation Biology, and Linear Infrastructures, with a particular emphasis on understanding how roads and power lines impact wildlife populations and ecosystems. Key areas include roadkill patterns, species distribution modeling, and the development of mitigation strategies for infrastructure-related ecological disruptions. Recent work highlights include analyzing road orientation effects on wildlife, the role of roadsides in connecting habitats for butterflies, and frameworks for prioritizing species at risk of electrocution by power lines. His contributions to the IUCN CCSG Transport Working Group reflect his engagement in global conservation initiatives. He has received a distinction in his PhD award and maintains active peer-review roles for over 50 journals, including Biological Conservation and Journal of Applied Ecology . His research integrates empirical fieldwork with spatial modeling to address real-world conservation challenges.

• Next Generation Internet
• Human-centric Networking
• Ontology and Knowledge-based Management
• +۱۳ مورد دیگر

David Palma is an Associate Professor at the Department of Information Security and Communication Technology , Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His research focuses on next-generation networking paradigms, including intent-based networking , knowledge-driven management , and IoT device automation . Key research interests include: Human-centric Internet of Things (IoT) Ontology-based network management Cloud/Edge/Fog computing for IoT Arctic and satellite communication 5G integration in smart grids His recent publications (2024-2019) highlight trends in knowledge graphs for network compliance, XR applications in critical sectors, UAV-based emergency networks , and 5G-enabled smart grid protection . Articles also explore Arctic connectivity via satellite swarms and energy-efficient IoT management.

Paul Richardsonمشاهده پروفایل

استاد

• Automotive Engineering
• Computing and Networks
• Robotics

Paul Richardson is a Professor in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn’s College of Engineering and Computer Science. His research spans automotive systems, real-time networks, and robotics. PhD in Systems Engineering, Oakland University His work focuses on Automotive Engineering , Computing and Networks , and Robotics . Key contributions include innovations in intra-vehicle networks, UWB channel modeling, and real-time control systems. Recent publications highlight advancements in OFDM signal processing, PAPR reduction techniques, and adaptive scheduling for QoS in vehicular and mobile networks. Collaborations include researchers like W. Xiang and A. Elkateeb. He is affiliated with the Institute for Advanced Vehicle Systems at UM-Dearborn. Contact: richarpc@umich.edu .

Shengquan Wangمشاهده پروفایل

دانشیار

• Real-Time Systems
• Cybersecurity
• Sustainable Computing
• +۶ مورد دیگر

Dr. Shengquan Wang is an Associate Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn , affiliated with the College of Engineering and Computer Science . His career spans over a decade, with prior academic experience at Texas A&M University as a Research/Teaching Assistant. He received his Ph.D. in Computer Science from Texas A&M University in 2006, preceded by M.S. degrees in Mathematics (Texas A&M, 2000) and Applied Mathematics (Shanghai Jiao Tong University, 1998), and a B.S. in Mathematics (Anhui Normal University, 1995). Research Interests Real-Time Systems Sustainable Computing (Power/Energy/Thermal Management) Networks and Distributed Systems Security and Privacy Optimization and Machine Learning Publication Trends His work focuses on real-time systems under thermal constraints , secure overlay architectures , and energy-efficient server farms . Recent research explores statistical delay guarantees in wireless networks and nonmonotone optimization techniques . Collaborations span institutions like Texas A&M University and Karlsruhe Institute of Technology. Awards and Grants NSF CAREER Award (CNS 0746906) Rackham Faculty Research Grant Best Paper Award at ECRTS 2006 Advising and Leadership Dr. Wang advises Ph.D. and Master's students like Jun Liu and Nan Wang, fostering innovation in sustainable systems. He leads the Research Laboratory for Sustainable Systems (RLSS) , focusing on thermally constrained real-time systems and secure computing.

Tobias Leopoldمشاهده پروفایل

استاد

• Reliability Engineering
• Automotive Engineering
• Mechanical Engineering
• +۶ مورد دیگر

Prof. Dr.-Ing. Tobias Leopold is a faculty member at Hochschule Esslingen , serving as Associate Dean for Mobility and Technology , Head of Lab Service , and Academic Director of Automotive Engineering (Bachelor's Program) . His research focuses on Reliability Engineering , Design of Experiments , and Service Engineering . Research Trends : His recent publications emphasize Reliability Demonstration Testing , Uncertainty Quantification , and Robust Design Optimization in automotive systems. Teaching : He lectures on Technical Mechanics , Vehicle Technology , and Reliability Engineering at both Bachelor's and Master's levels. Contact : Email Tobias.Leopold@hs-esslingen.de

• Wood Technology
• Materials Science
• Structural Wood Materials
• +۷ مورد دیگر

Maximilian Pramreiter is a Senior Scientist at the Institute of Wood Technology and Renewable Resources , part of the University of Natural Resources and Life Sciences, Vienna (BOKU) . His work focuses on structural wood materials and bio-inspired composites , with a strong emphasis on sustainable construction and resource efficiency . He was a Visiting Research Scholar at the University of California, Berkeley (2024) and leads projects such as UniStrand and CARpenTiER . Education : HTL Kuchl (2011), BOKU MSc (2012-2018), PhD in Advanced Biorefineries (2018-2020). His research interests span wood technology , mechanical properties of hardwoods , and bio-mimetic composites . Recent projects explore adhesive bonding in engineered wood, cross-laminated timber , and non-traditional hardwood species for structural applications. His publications emphasize material testing , moisture/temperature effects , and circular biomass policies . Scientific Awards : Science goes Public 2024 Award of Excellence 2021 (BWBWF) Klaus Fischer Innovationspreis 2021 Wissenschaftlicher Förderpreis der Stadt Wien 2020 As a supervisor , he guided theses on cross-laminated timber , beech wood characterization , and viscose fiber composites . He actively contributes to community services as a reviewer for journals like Wood Material Science and Engineering and Sustainability .

Jean-Yves Le Boudecمشاهده پروفایل

استاد

• Network Calculus
• Time-Sensitive Networking
• Deterministic Networking
• +۷ مورد دیگر

Jean-Yves Le Boudec is a Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences and the Institute of Electrical Engineering. He has been a key figure in advancing the theory and application of network calculus and deterministic networking, contributing significantly to standards such as IEEE Time-Sensitive Networking (TSN) and IETF DetNet. His research focuses on network calculus , time-sensitive and deterministic networking , traffic regulation , worst-case delay analysis , and cyber-physical systems , with cross-cutting applications in smart grids , real-time communication , and network security . He has co-authored foundational texts on network calculus and developed theoretical frameworks for traffic regulators, service curves, and delay bounds in complex networked systems. The recent publications highlight a strong trend in analyzing and improving performance guarantees in deterministic networks, including scheduling mechanisms like Deficit Round-Robin and Cyclic Queuing and Forwarding, traffic shaping via interleaved regulators, and security against time-synchronization attacks in power systems. The work spans theoretical modeling using stochastic and min-plus/max-plus algebra, practical algorithm design, and application to critical infrastructure. IEEE Fellow Le Boudec has advised numerous researchers and PhD students, including Ehsan Mohammadpour, Ludovic Thomas, and Seyed Mohammadhossein Tabatabaee. His collaborative projects often involve grants related to European and Swiss research initiatives in networking and smart grid technologies. He leads a research group focused on networked systems at EPFL, contributing to both theoretical advances and real-world implementations in industrial and energy-critical networks. His lab work centers on modeling and verification of time-sensitive network behaviors, integrating formal methods with practical experimentation. The team investigates regulators, shapers, and synchronization mechanisms, aiming to ensure robustness, predictability, and security in next-generation communication infrastructures. Future work continues to explore the interplay between communication, control, and energy systems in highly reliable environments.

• Supply Chain Management
• Business Statistics
• Supply Chain Resilience
• +۳ مورد دیگر

Saban Adana is an Assistant Professor in the Department of Management, Marketing, and Supply Chain at the Boler College of Business, John Carroll University. His expertise spans Supply Chain Management and Business Statistics, leveraging 14 years of military logistics experience including international service at SHAPE Headquarters in Mons, Belgium. Originally from Eskisehir, Turkey, he integrates real-world operational insights into his academic work and is an avid soccer player. Dr. Adana's research centers on supply chain resilience, risk propensity in contract selection, performance-based contracting, and machine learning applications. His work bridges Transaction Cost Economics and Goal-Setting Theory with practical supply chain challenges, emphasizing organizational structure impacts and post-pandemic recovery strategies. He prioritizes translating theoretical frameworks into actionable industry solutions for enhanced supply chain robustness. Analysis of his publication record reveals consistent focus on decentralization's role in resilience, reliability growth in logistics contracts, and trust mechanisms in international trade. His recent work examines machine learning for predictive analytics while exploring e-waste reduction through performance-based contracting. Recurring themes include organizational adaptability during disruptions and the interplay between contractual design and supply chain robustness. Dr. Adana has not received any scientific awards as per available information. Details regarding student advising and research grants are not documented in current sources, though his military background suggests potential mentorship in operational logistics contexts. No dedicated research laboratories or specialized teams are mentioned in association with Dr. Adana's current academic role.

Emmalee Fordمشاهده پروفایل

مدرس

• Reproductive Health
• Fertility Research
• Public Health
• +۴ مورد دیگر

Dr. Emmalee Ford, a Lecturer at the School of Biomedical Sciences and Pharmacy (University of Newcastle), specializes in improving sexual and reproductive health through interdisciplinary research spanning molecular biology to public health. Her work addresses critical issues such as fertility knowledge gaps, digital health tool reliability, and equitable access to reproductive services across Australia and the Pacific. Doctor of Philosophy in Medical Biochemistry, University of Newcastle Graduate Certificate in Data Science, University of Newcastle Bachelor of Science (Honours), University of Newcastle Dr. Ford's research combines ovary development and primordial follicle activation studies with community-focused initiatives like adolescent fertility education and period tracking app analysis. Her findings on premature ovarian insufficiency were incorporated into the International Menopause Society's white paper, influencing clinical guidelines. Her publications highlight trends in digital health literacy and reproductive health policy , while her 2023-2024 grants from CSIRO and Hunter New England Local Health District funded projects like Fertile Future and Empowering Adolescents . Dr. Ford actively shapes national health policy, notably securing permanent telehealth access for sexual health services post-2024 budget. Most Valuable Postgraduate (MVP) Award, University of Newcastle Student Association (2020) Australia Day Award, National Council of Women (NCW) of NSW (2018) Oozoa Award Finalist, Australian Society for Reproductive Biology (2019) Dr. Ford's advisory group of post-high school youth ensures research remains community-driven. She advocates for demystifying menstrual cycle education, emphasizing self-awareness over app algorithms. Her collaborations with clinicians, educators, and tech companies bridge scientific discovery with real-world healthcare solutions.