جست‌وجوی استاد و پژوهشگر

• Medical Imaging Analysis
• Deep Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Laith Alzubaidi is a postdoctoral researcher at the School of Mechanical, Medical and Process Engineering , Queensland University of Technology (QUT) , Australia. He earned his Ph.D. in 2022 in medical imaging analysis with deep learning from QUT and a master’s degree in computer science from the University of Missouri (2016), USA. His research interests span medical imaging analysis , deep learning , artificial intelligence , and computational mechanics . He has contributed to advancements in bone fracture detection , skin cancer classification , IoT security frameworks , and physics-informed neural networks , with a focus on data fusion , adversarial attack detection , and real-time diagnostic systems . Dr. Alzubaidi has published over 53 refereed papers, garnered more than 3,700 citations, and led two special issues in reputed journals. His work involves global collaborations and grants for deep learning in medical applications . He reviews for 53+ journals, including IEEE Transactions on Medical Imaging and Information Fusion . Scientific Awards : Scholarship during master’s degree (University of Missouri) QUT scholarship for Ph.D. His recent publications highlight trends in AI-driven medical imaging , secure IoT networks , and physics-informed computational models . He has also explored trustworthy AI , reinforcement learning in healthcare , and explainable machine learning frameworks .

Christophoros Christophorouمشاهده پروفایل

استادیار

• 6G Mobile Networks
• Edge and Far-Edge Computing
• Distributed Artificial Intelligence (DAI)
• +۳ مورد دیگر

Dr. Christophoros Christophorou is an Assistant Professor in Computing at University of Central Lancashire Cyprus (UCLan Cyprus), holding a PhD in Mobile Cellular Networks from the University of Cyprus (2011). He specializes in 6G network architectures, edge computing, and distributed AI applications in wireless networks. His research focuses on next-generation communication systems, including security protocols, dynamic resource allocation, and AI-driven optimization frameworks. Dr. Christophorou has held roles as Senior Researcher at CYENS – Center of Excellence, Invited Assistant Professor at the University of Cyprus, and Postdoc Researcher (2017–2023). He has contributed to major EU-funded projects such as ADROIT6G (Horizon Europe), METACITIES, and ENDORSE, focusing on AI-driven networks, smart cities, and healthcare robotics. His publications emphasize machine learning for network security, 6G architecture innovations, and distributed AI frameworks for D2D communication. He teaches advanced programming and system analysis courses at UCLan Cyprus.

Sergio Salinas Monroyمشاهده پروفایل

دانشیار

• Cyberphysical Systems
• Network Security
• Additive Manufacturing Security
• +۶ مورد دیگر

Sergio Salinas Monroy is an Associate Professor at Wichita State University's College of Engineering, School of Computing. His research focuses on cyberphysical systems, network security, and privacy enhancement in critical infrastructures like additive manufacturing, power grids, and edge computing networks. He currently leads the Graduate Certificate in Information Assurance and Cybersecurity program and spearheaded the NSA/DHS CAE-CD designation for WSU. Academic Rank: Associate Professor Department: School of Computing University: Wichita State University Email: sergio.salinasmonroy@wichita.edu His research spans secure resource allocation in supply chains, cyberfraud investigation, and federated deep learning systems. Recent publications emphasize adversarial machine learning, intrusion detection, blockchain applications in manufacturing, and privacy-preserving algorithms. His work integrates deep learning, anomaly detection, and cryptographic protocols for industrial cybersecurity. Research trends in his articles include cyberphysical systems security (4 entries), privacy preservation in distributed networks (3 entries), and machine learning optimization for threat detection (5 entries). He also explores blockchain integration, edge computing economics, and energy-based attack detection in IoT-enabled systems. Professor Salinas Monroy actively contributes to academic service as an organizer and technical program committee member for IEEE conferences. His office hours are held in Jabara Hall (239) on Wednesdays from 3:30–5:00 PM.

Gabriele Costaمشاهده پروفایل

دانشیار

• Cybersecurity
• Formal Methods
• Mobile Systems Security
• +۵ مورد دیگر

Gabriele Costa is an Associate Professor at the SysMA Group of the IMT School for Advanced Studies Lucca. He holds a Laurea and Ph.D. in Computer Science. Previously, he was part of the cybersecurity group at CNR’s Istituto di Informatica e Telematica and served as a visiting researcher at ETH Zurich (2016-2017). He co-founded the Computer Security Laboratory (CSec) at DIBRIS and is CRO of Talos, a cybersecurity spin-off. His research focuses on formal methods for verifying and testing mobile/modular systems, including mobile software, cloud computing, and critical infrastructure security. He has led/co-founded initiatives like the MAVeriC framework for mobile app security and contributed to projects such as SPARTA (EU H2020) and FilieraSicura (CISCO-funded). Costa actively participates in conferences like EuroSP and ITASEC, serving on program committees. His work spans security protocols, penetration testing tools (e.g., MeTeOr), and educational initiatives like cybersecurity games for K-12 students. He emphasizes bridging theory and practice through frameworks like Lidite (digital twins) and tools targeting zero-day malware detection (Z-MDZS).

Alireza Furutanpeyمشاهده پروفایل

پژوهشگر

• Edge Computing
• Edge Intelligence
• Distributed Inference
• +۳ مورد دیگر

Alireza Furutanpey is a University Assistant (PreDoc Researcher) at TU Wien's Distributed Systems Group within the Institute of Information Systems Engineering, holding a Master's degree with distinction. His academic role combines research in distributed systems with teaching responsibilities for core computer science courses. His educational background includes: Bachelor of Science (BSc) Master of Science (Dipl.-Ing.) with distinction Furutanpey's research centers on Edge Computing and Edge Intelligence, specializing in Distributed Inference, Neural Data Compression, and AI-Systems integration. He pioneers techniques for neural feature compression in satellite/edge environments and develops frameworks for federated learning orchestration under communication constraints. His work bridges theoretical AI with practical system implementation, focusing on resource-constrained scenarios where bandwidth and computational efficiency are critical. Analysis of his 15+ publications reveals dominant trends in neural compression for distributed systems (60%), federated learning optimization (25%), and serverless edge frameworks (15%). Key contributions include solving satellite downlink bottlenecks through feature compression and enabling adaptive inference in heterogeneous edge networks, with methodologies increasingly incorporating generative modeling and robustness against adversarial attacks. Scientific Awards: None documented in available sources. He actively supervises master's theses, guiding students on adversarial machine learning, neural compression, and image retrieval systems. His research is supported through major projects: AloTwin (2023-2025) focusing on edge intelligence, INTEND (2024-2026) on industrial IoT, and TEADAL (2022-2025) on federated learning. He serves as a reviewer for 15+ IEEE/ACM venues including IEEE Transactions on Mobile Computing and ICDCS. Furutanpey operates within TU Wien's Distributed Systems Group, which specializes in edge-cloud continuum research. The team develops tools like faas-sim for serverless edge simulation and explores quantum-classical hybrid architectures, maintaining strong industry collaborations in industrial IoT and satellite communications.

• Virology
• Immunology
• Infectious Diseases
• +۳ مورد دیگر

Penghua Wang is an Adjunct Assistant Professor in the Department of Infectious Diseases at Yale School of Medicine. He holds a PhD from the National University of Singapore (2006) and a BA from ZhongShan Medical University (1992). His research focuses on host-pathogen interactions, particularly RNA viruses, and explores mechanisms of viral pathogenesis and immune evasion. Key interests include innate immunity, antiviral immune responses, and viral life cycles. Education: PhD, National University of Singapore (2006) BA, ZhongShan Medical University (1992) His research investigates viral pathogens such as West Nile virus, Dengue virus, and Hepatitis C virus. Recent work includes identifying host factors influencing viral pathogenesis, such as NLRs and UBXNs, and elucidating mechanisms of immune evasion. Collaborations with researchers like Erol Fikrig and Ruth R. Montgomery have yielded studies on antiviral signaling, symbiotic bacteria’s role in flavivirus transmission, and SARS-CoV-2 evolution. Publications highlight advancements in understanding cGAS-STING signaling in kidney inflammation, integrin clustering, and mosquito-borne pathogen transmission dynamics. His lab is located at The Anlyan Center, 300 Cedar Street, Ste S410, New Haven, CT 06519.

James Batchelorمشاهده پروفایل

استاد

• Public Health
• Health Systems
• Clinical Informatics
• +۳ مورد دیگر

Professor James Batchelor is the University of Southampton's Professorial Fellow of Clinical Informatics and Healthcare Innovation, serving as Director of the Clinical Informatics Research Unit (CIRU) and leading the £16M EDGE Programme. He oversees a global network of hospitals and research organizations, supporting over 150,000 research projects and managing 7 million patients. His research focuses on digital health strategies, data science-driven health system strengthening, and blast injury research through the International Blast Injury Research Network (IBRN). He advises governments and international bodies like the WHO and US Department of Defense. Key roles include Chair of the Commonwealth Centre for Digital Health and participation in global initiatives like the International Forum on Blast Injury Countermeasures. His work spans public health systems, clinical informatics, and conflict-related health challenges. Notable collaborations extend to Brazil, South Africa, India, and New Zealand. Professor Batchelor has received recognition such as the 2021 Vice-Chancellor's Award for his pandemic response efforts and the 2019 University Award for International Collaboration. He supervises four PhD students and leads over 50 professionals in CIRU. His grants total ~£6.1M, with partnerships in over ten countries.

Irene J. Beyerleinمشاهده پروفایل

استاد

• Advanced Materials Design
• Solid Mechanics
• Computational Materials Science
• +۶ مورد دیگر

Irene J. Beyerlein is a Distinguished Professor and Mehrabian Interdisciplinary Endowed Chair in Mechanical Engineering and Materials at the University of California, Santa Barbara (UCSB). Her research focuses on advanced materials design, particularly lightweight alloys and nanolaminates, to enhance structural performance under extreme conditions. She leads a group integrating computational modeling, experimentation, and theory to address challenges in dislocation dynamics, interface engineering, and microstructure-property relationships. Education: Ph.D. in Theoretical and Applied Mechanics, Cornell University B.S. in Mechanical Engineering, Clemson University Research Interests: Her work emphasizes multiscale modeling of deformation mechanisms in metals and alloys, including nanolaminates, high-entropy alloys, and refractory materials. Key areas include interface effects on strength, dislocation-defect interactions, and fatigue irreversibilities in superalloys. Recent studies highlight novel lightweight Mg and Ti alloys, 3D full-field mechanical modeling, and atomic-scale bridging to macroscale behavior. Publications: Recent work explores 3D interface engineering for nanolaminate strength, dislocation dynamics in refractory alloys, and phase-field modeling of detwinning. Themes include optimizing microstructural interfaces, understanding temperature-dependent glide mechanisms, and leveraging machine learning for texture design. Awards & Honors: Elected to the National Academy of Engineering (2024) Fellowships from MRS, TMS, and the American Academy of Arts and Sciences Recipient of the Brimacombe Medal, TMS/AIME Mathewson Award, and multiple early-career awards Advising & Grants: Supervises a diverse team of graduate students and postdocs focusing on topics like dislocation dynamics in nanolaminates, intermetallic materials, and fatigue mechanisms. Active in securing grants for projects such as DOE-sponsored work on multiprincipal element alloys and NSF initiatives in computational materials science. Labs & Teams: Leads the Beyerlein Research Group at UCSB, collaborating with industry and national labs on advanced materials development for aerospace, energy, and defense applications.

• Machine Learning
• Cybersecurity
• IoT Security
• +۳ مورد دیگر

Idris Zakariyya is a Researcher at the School of Computing Science , University of Glasgow, based at Room 409, 18 Lilybank Gardens, Glasgow, Scotland (G12 8RZ). His contact email is Idris.Zakariyya@glasgow.ac.uk . His research interests span: Machine Learning applications in healthcare technology and IoT security Privacy-Preserving Techniques such as differential privacy in neural networks Adversarial Defense mechanisms for robust AI systems Resource-Efficient Algorithms for medical data digitization and activity recognition Zakariyya’s publications reflect interdisciplinary work in healthcare informatics, radar-based activity monitoring with privacy guarantees, and cybersecurity for IoT systems. Recent trends include integrating biomedical data digitization with computational methods and advancing neural network robustness against adversarial inputs. No scientific awards or honours are listed. Collaborative research grants or advising roles are not explicitly mentioned in the text. Lab or team affiliations remain unspecified.

Tao Wangمشاهده پروفایل

استادیار

• Anonymity networks
• Traffic analysis
• Privacy enhancing technologies
• +۴ مورد دیگر

Tao Wang is an Assistant Professor in the School of Computing Science at Simon Fraser University. His research focuses on anonymity networks, traffic analysis, privacy-enhancing technologies, and cybersecurity. He holds a PhD from the University of Waterloo (2016) and previously served as an Assistant Professor at the Hong Kong University of Science and Technology (2016-2020). Education: BSc (HKUST, 2010), MMath/PhD (Waterloo, 2012/2016) Teaching: Computer security, privacy, discrete mathematics, and machine learning Research emphasizes defending against website fingerprinting attacks and improving Tor network anonymity. His work includes developing defenses like Walkie-Talkie and Surakav, and analyzing traffic patterns in open-world scenarios. Current students include Alireza Akhbari (MSc), Rajat Biswas (MSc), and others.

Alaeddin Burak İrezمشاهده پروفایل

استادیار

• Composite Materials
• Reinforced Composites
• Thermal Conductivity
• +۵ مورد دیگر

Alaeddin Burak İrez is an Assistant Professor in the Department of Mechanical Engineering at Istanbul Technical University (ITU), specializing in composite materials, structural optimization, and advanced manufacturing. His research focuses on developing novel composites for applications in aerospace, automotive, biomedical, and renewable energy sectors. He leads multiple projects funded by BAP (Scientific and Technological Research Council of Turkey) and has authored over 44 research outputs, including articles in prestigious journals like Defense Technology , Journal of Power Sources , and Polymers . Research Interests: Composite materials design and characterization Thermal and mechanical performance optimization Additive manufacturing of biomedical implants Self-healing materials for wind turbine applications Battery case structural integrity analysis Recent Research Trends: His 2024-2025 work emphasizes hybrid composites for electric vehicle batteries, biohybrid actuators, and tribologically enhanced wind turbine laminates. He has pioneered methods for hierarchical composite design using pellet extrusion additive manufacturing and numerical optimization frameworks for UAV wings. Awards: Best Presentation Award at an international conference (June 2022) Grants & Projects (as PI): Machine Learning for Wind Turbine Blade Damage Analysis (2023-2025) Thermal Conductive Hexagonal Boron Nitride Composites for EV Batteries (2022-2023) Self-Healing Multifunctional Composites for Offshore Wind Turbines (2022-2023) PEEK-based Spinal Implant Additive Manufacturing (2022-2023) Labs/Teams: Leads ITU's Composite Materials & Structural Optimization Lab, collaborating with industry partners on automotive and aerospace projects.

• Climate Change
• Disaster Risk Management
• Environmental Sciences
• +۳ مورد دیگر

Jaroslav MYSIAK is an Adjunct Professor at the Department of Environmental Sciences, Informatics and Statistics (DEIS) at Ca' Foscari University of Venice. His research focuses on climate risk management, disaster resilience, and environmental policy, with particular emphasis on flood modeling, nature-based solutions, and decision support systems for sustainable resource management. He holds an academic appointment in the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice. His teaching activities include advanced courses on climate risk modeling and assessment at the master's and doctoral levels. His key research contributions span climate adaptation pathways, flood damage assessment frameworks, and the integration of Bayesian networks for multi-sectoral risk analysis. MYSIAK has extensively engaged in developing policy-oriented tools such as the MULINO-DSS decision support system and the INFORM vulnerability framework. Recent work explores nature-based solutions for climate resilience and the governance mechanisms enabling their implementation. His publications demonstrate expertise in cross-disciplinary research, bridging hydrology, economics, and policy. Current research themes include: Climate services evaluation and socio-economic impact analysis Resilience assessment frameworks for coastal and urban areas Cost-benefit analysis of flood defense infrastructure Integration of machine learning in disaster risk reduction His work frequently addresses European and Mediterranean contexts, with studies on Adriatic coastal systems and Italian agricultural water management. MYSIAK's research has been applied in policy contexts including the EU's climate adaptation strategy and international disaster risk reduction frameworks.

Gonzalo De La Torre Parraمشاهده پروفایل

استادیار

• Artificial Intelligence
• Cyber Security
• Cloud Computing
• +۳ مورد دیگر

Gonzalo De La Torre Parra is an Assistant Professor in the Department of Engineering, Computing, and Cybersecurity at the University of the Incarnate Word (UIW). He holds a Ph.D. in Electrical Engineering from the University of Texas at San Antonio (2021), an M.S. in Electrical Engineering from UTSA (2015), and a B.S. in Electrical Engineering from Texas A&M University-Kingsville (2009). His research focuses on applying artificial intelligence to cybersecurity challenges in cloud computing, edge computing, and IoT systems. Prior to UIW, he served as a Research Fellow at UTSA’s Secure AI and Autonomy Lab (2017–2021) and Open Cloud Institute (2016–2017). He has industry experience in quality engineering and Lean Six Sigma roles at companies like Rheem and Sony. He teaches courses such as Cloud Computing, Intrusion Detection Systems, and Cyber Security Systems. His work emphasizes developing interpretable AI methods for intrusion detection and has collaborated with industry partners like CPS Energy and CISCO. He actively mentors students and contributes to cybersecurity education and research.

Eric Muhatiمشاهده پروفایل

مدرس

• Network Security
• Cyber-Physical Systems
• Secure IoT Systems
• +۵ مورد دیگر

Eric Muhati is an Instructor in the Department of Electrical Engineering and Computer Science at Oregon State University's College of Engineering. With a Ph.D. in Computer Science from Howard University (2021), his professional journey includes founding a software company and transitioning into academia. His research focuses on applying machine learning to cybersecurity challenges, including secure IoT systems, cyber-physical systems, and autonomous vehicular networks. Education: Ph.D. in Computer Science, Howard University, 2021 Research Interests: Muhati’s work addresses critical areas such as network security through machine learning, AI-driven threat prediction, and visualization of cyber-attack dynamics. His recent projects include anti-spoofing protocols, blockchain-IoT alliances, and geographically referenced cyber-defense simulations. He also explores cybersecurity challenges in industries like autonomous vehicles and small-to-medium enterprises in Kenya. Grants & Awards: No specific grants or awards listed. Labs & Collaborations: Active in Oregon State’s cybersecurity research groups, with ongoing projects on cyber agility prediction and secure edge computing frameworks.

Dennis Alveringhمشاهده پروفایل

استادیار

• MEMS (Micro-Electromechanical Systems)
• Sensor Engineering
• Thermal Anemometry
• +۷ مورد دیگر

Dennis Alveringh is an Assistant Professor in the Integrated Devices and Systems group at the University of Twente, Faculty of Engineering Technology. His work bridges academic research and industrial R&D, with an external role as R&D Scientist at Salland Engineering (Europe) B.V. since 2018. Research Interests: MEMS and sensor engineering Thermal anemometry and flow sensing Capacitive and pressure sensors Machine learning integration in sensor systems Low-drift and directional sensor design for horticultural applications CMOS-MEMS integration and fabrication His recent publications (2024–2025) highlight a strong trend toward intelligent, multi-parameter MEMS sensors enhanced with machine learning for improved accuracy in flow, angle of attack, and environmental condition detection. These works emphasize system-level design, data collection frameworks, and real-world applications in agriculture and microfluidics. Scientific Awards: Best Poster Presentation 1st Place (Contributor), 23 Feb 2024 Best Presentation - SAFE (Contributor), 28 Jun 2024 Best Presenter Award (Contributor), 19 Sept 2024 Advising and Grants: While no direct funding is listed, Dennis plays a key advisory role in multiple student-led projects, particularly guiding T.L. Hackett in advanced MEMS anemometry research. His contributions to PhD theses, conference organization (e.g., MFHS 2017), and journal peer-review (e.g., Microelectronic Engineering) reflect strong academic service and mentorship. Labs and Teams: He is part of the Integrated Devices and Systems group at the University of Twente, collaborating closely with Prof. J. Schmitz and other researchers in MEMS design and sensor development. The team focuses on innovative, application-driven microsystems with an emphasis on sustainability and precision in agricultural and industrial contexts.