جست‌وجوی استاد و پژوهشگر

• Nonlinear System Identification
• Machine Learning
• Computational Neuroscience
• +۷ مورد دیگر

Hua-Liang Wei is a Senior Lecturer at the University of Sheffield 's School of Electrical and Electronic Engineering. He leads two innovative research labs: the Dynamical Modelling, Data Mining and Decision Making (3DM) and the Digital Medicine & Computational Neuroscience (DMCN) Research Groups. Specializes in system identification for nonlinear dynamics Develops interpretable AI for healthcare applications Active in space weather and environmental forecasting His methodological expertise spans NARMAX modeling, wavelet neural networks, and multiresolution analysis. Collaborations include Sheffield Teaching Hospitals NHS Trust, multiple University of Sheffield departments (Chemistry, Oncology, Psychology), and international institutions like Beihang University. Scientific Awards include STFC and NERC grants for radiation belt modeling and environmental systems research, EU Horizon 2020 funding, EPSRC Platform grants, Royal Society support, and medical charity partnerships. Recent publications focus on hybrid wavelet-LSTM for wind power forecasting EEG analysis in epilepsy and Alzheimer's domain adaptation for fault diagnosis interpretable models for medical data covering applications from renewable energy to clinical diagnostics.

Payam Soulatiantorkمشاهده پروفایل

مدرس ارشد

• Industrial Automation
• Renewable Energy Control Systems
• Programmable Logic Controllers (PLCs)
• +۵ مورد دیگر

Dr. Payam Soulatiantork is a Senior Lecturer in Industrial Automation at the University of Sheffield's School of Electrical and Electronic Engineering. He has over 6 years of industrial experience (2007-2013) and has held academic/research roles at Queen’s University Belfast (Research Fellow), Polytechnic of Milan (PhD researcher), and Cranfield University (Visiting Researcher). Current role: Senior University Teacher Past positions: Research Fellow (Queen’s), Visiting Researcher (Cranfield) PhD: Polytechnic of Milan (2013-2016) MSc: Shiraz University (Control & Instrumentation) His research focuses on industrial automation , renewable energy control systems , and Industry 4.0 . He specializes in real-time control with Siemens PLC/TIA Portal, MPPT algorithms for photovoltaics, and SCADA systems. Recent publications emphasize digital twin technology , cyber-physical systems , and smart manufacturing . Scientific contributions include: IEEE member since 2013 Recognized reviewer for Solar Energy and IEEE Transactions on Reliability Key publications on MPPT optimization, WHR systems, and digital twins Teaching includes modules like ACS6131 Industrial Automation and GEE101 Interdisciplinary Design . His work bridges industrial practice with academic research in control systems and energy-efficient manufacturing.

Mauricio Papaمشاهده پروفایل

استاد

• Critical Infrastructure Protection
• Operational Technology Security
• Industrial Control Systems
• +۵ مورد دیگر

Mauricio Papa serves as the Brock Professor within the Tandy School of Computer Science and Cyber Studies at The University of Tulsa's College of Engineering & Natural Sciences. His academic career spans critical infrastructure protection and operational technology security, with extensive collaboration across government agencies and industry sectors. Dr. Papa's educational background includes: Ph.D. in Computer Science from The University of Tulsa (2001) M.S. in Electrical Engineering from The University of Tulsa (1996) B.S. in Electrical Engineering from Universidad Central de Venezuela (1992) His research focuses on securing industrial control systems across critical infrastructure sectors, particularly in energy and transportation. Papa's work integrates network security principles with operational technology requirements, developing specialized intrusion detection systems, protocol analysis frameworks, and predictive analytics for industrial environments. His methodology emphasizes practical implementation in real-world OT settings where traditional IT security approaches often fail due to legacy system constraints and safety requirements. Analysis of his recent publications reveals a strong concentration on machine learning applications for OT security, with increasing emphasis on graph-based anomaly detection, IoT device fingerprinting, and cost-sensitive alert management. His work consistently bridges theoretical cybersecurity concepts with practical industrial applications, particularly in electric power systems and nuclear facilities. Dr. Papa has secured significant research funding through multiple federal agencies including DARPA, Department of Defense, Department of Justice, National Science Foundation, and Department of Energy, along with private industry partnerships. His projects have involved designing and deploying critical infrastructure protection labs, developing forensic tools for transportation systems, and creating simulation frameworks for nuclear reactor security. He has established specialized research facilities including a critical infrastructure protection lab for electric power sector security testing and has contributed to multi-institutional projects involving Washington State University and Pacific Northwest National Laboratory. His current work focuses on developing testbeds and cybersecurity solutions specifically for energy sector applications.

Nathan Postمشاهده پروفایل

عضو هیئت علمی

• Wind Energy Optimization
• Machine Learning Applications
• Additive Manufacturing
• +۳ مورد دیگر

Nathan Post is a Research Associate Professor at Northeastern University's Roux Institute with joint appointments in Civil and Environmental Engineering and Mechanical and Industrial Engineering. His research applies machine learning to optimize physical systems in renewable energy and manufacturing. Key research areas: Machine learning for wind farm performance optimization Additive manufacturing process characterization Reverse osmosis membrane fouling mitigation Experimental mechanics for renewable energy systems Publications demonstrate cross-disciplinary approaches combining experimental mechanics with machine learning. Recent work focuses on wind turbine wake steering, corrosion-resistant alloy discovery, and drivetrain reliability prediction. Serves as technical advisor to the ReWind Network for wind blade repurposing and develops educational tools for fluid power curriculum. Research employs field data analytics from wind farm SCADA systems and laboratory-scale material testing.

David Thorntonمشاهده پروفایل

استاد

• Game Development
• Multimodal Interfaces
• Human-Computer Interaction
• +۱ مورد دیگر

David Thornton is a Professor of Computer Science at Jacksonville State University's College of Arts, Humanities, and Sciences. He holds a PhD in Computer Science from Auburn University (2008), and MS/BS degrees from Jacksonville State University (2003/2001). His research focuses on game development, cybersecurity awareness through gamification, multimodal interfaces, and human-computer interaction. He leads the game development concentration for computer science majors and has developed widely-used gamification tools adopted in 40+ schools across 7 countries. Dr. Thornton's work emphasizes cybersecurity education through interactive games and has been funded by DoD-NSA grants. His research collaborations explore player behavior analysis, EEG monitoring in game environments, and dynamic difficulty adjustments. He received the George Mehaffy Excellence in Learning Technology Award (2014) for his educational technology innovations. His publications span cybersecurity training methodologies, game-based learning systems, and multimodal interface design. Recent work highlights include analyzing EEG data from cybersecurity games and developing low-stakes mathematics placement tools. He actively promotes cybersecurity awareness through workshops and educational game development initiatives.

Ganesh Bhattمشاهده پروفایل

استاد

• Information Systems Strategy
• Information Systems Competencies
• Knowledge Management
• +۵ مورد دیگر

Dr. Ganesh Bhatt is a Professor in the Department of Information Science & Systems at Morgan State University's Graves School of Business. He holds a Ph.D. from Southern Illinois University, Carbondale, and an MBA from Indiana University of Pennsylvania. His research focuses on information systems strategy, IS competencies, knowledge management, and the interplay between technological change and economic development. Key areas of investigation include IT infrastructure resilience, organizational learning processes, and the role of information systems in fostering competitive advantages and innovation in firms. Professor Bhatt has published extensively in journals such as Information & Management, Omega, and the Information Resource Management Journal. His work explores topics ranging from cybersecurity governance frameworks to the application of simulation models in understanding complex systems like epidemic transmission. Award details: No scientific awards explicitly listed in provided texts. His contributions are recognized through his prolific publication record and academic service. Advising & Grants: No student advisees or grant details listed. His professional activities emphasize teaching and research in information systems and business analytics. Labs/Teams: No specific labs or research teams explicitly mentioned, though his work likely integrates with university research initiatives in business informatics and technology management.

Volker Skwarekمشاهده پروفایل

استاد

• Cybersecurity
• Distributed Systems Security
• IoT and Sensor Networks
• +۳ مورد دیگر

Prof. Volker Skwarek is a Professor for Technical Informatics at the Department of Industrial Engineering and Management, Hamburg University of Applied Sciences. He leads the research group DLT³-Hamburg and heads the research and transfer center for digital business processes. His work focuses on cybersecurity in distributed systems, IoT security, and blockchain applications in industrial environments. He has held leadership roles including Deputy Head of the Department HWI and coordinates the graduate focus area 'Information Science'. Research interests include ultra-low-power IoT systems, self-sovereign identity frameworks, and secure blockchain-sensor integrations. Prof. Skwarek has authored over 30 peer-reviewed articles, 2 books, and multiple patents. He actively contributes to international standardization of blockchain technologies and serves on editorial boards for distributed ledger journals. His projects span smart grid security, decentralized energy trading systems, and forensic blockchain analysis. Notable projects include WaterGridSense 4.0 (smart grid resilience), LegalBlock (legal frameworks for smart contracts), and TrustedCamApp (secure video streaming in sensor networks). He emphasizes practical applications alongside theoretical advancements, collaborating closely with industry partners to address real-world challenges in digital security and automation. Prof. Skwarek holds national/international awards for research and education innovation. His teaching includes courses on technical informatics, programming in C, and cybersecurity fundamentals. He advocates for continuous professional development through academic-industry partnerships and standardization initiatives.

Aurel Cornel STANCAمشاهده پروفایل

مدرس

• Control Systems
• Embedded Systems
• Data Acquisition
• +۳ مورد دیگر

Aurel Cornel STANCA is a Lecturer at the Department of Electronics and Computers within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brasov. His research focuses on control systems, embedded systems, data acquisition, IoT integration, automotive electronics, and power systems. He has contributed to advancements in smart grid technologies, automotive safety systems, and reliability testing of power protection devices. Dr. STANCA's work spans interdisciplinary applications, including IoT-enabled power system protection, distributed temperature control systems, and thermoelectric heat recovery from engines. His publications emphasize practical implementations, such as embedded system designs for supercapacitor-aided vehicle starters and SCADA operator training platforms. He holds a strong industrial collaboration background, particularly in automotive electronics education and curriculum development. His research also touches on educational technologies, including adaptive learning pathways and EMC training methodologies. Affiliated with the Technical University of Brasov, his professional network includes involvement with international conferences like ICATE and OPTIM, where he has presented on topics ranging from supercapacitor models to distributed control systems.

• Machine Learning
• Cybersecurity
• Smart Grid Security
• +۵ مورد دیگر

Dr. Abdun Mahmood is an Associate Professor in the Department of Computer Science and IT at La Trobe University, Australia. He holds a PhD from the University of Melbourne and has held academic positions at institutions including RMIT University and UNSW Canberra. His research focuses on Machine Learning and Cybersecurity, particularly in Smart Grid Security, SCADA systems, and Malware Detection. He leads a research group addressing challenges like anomaly detection in big data, SCADA vulnerability analysis, and privacy-preserving techniques. Education: PhD in Computer Science, University of Melbourne (2008) MSc (Research) in Computer Science, University of Dhaka (1999) BSc in Applied Physics and Electronics, University of Dhaka (1997) Research Interests: Machine Learning applications in Cybersecurity Smart Grid Security (e.g., False Data Injection, SCADA vulnerabilities) Malware Detection (Windows, API analysis, memory forensics) Federated Learning for privacy-preserving systems Data analytics for anomaly detection in big data Funded Research: Secured over $1M in grants, including ARC Linkage Projects Recent project: 'Detection of data integrity cyber attacks in smart grid' (2020–2023) Availability: Supervision of Masters/PhD students, collaborative industry projects, and advisory roles. Labs/Teams: Leads a research team focusing on Machine Learning and Cybersecurity, with active projects in SCADA security, malware analysis, and federated learning frameworks.

Zahir Tariمشاهده پروفایل

استاد

• Computer Science
• Cybersecurity
• Cloud Computing
• +۴ مورد دیگر

Prof. Zahir Tari is a leading international expert in Computer Science, currently serving as a Professor at the School of Computing Technologies at RMIT University. He holds a prominent role as Research Director of the Centre of Cyber Security Research and Innovation (CCSRI) and has been appointed to the ARC College of Experts (2022-2024). Research Interests : Prof. Tari specializes in designing innovative solutions for large-scale systems including Cloud, Edge, and IoT environments, with particular emphasis on cybersecurity, performance optimization, and reliability of critical systems like SCADA and Smart Grids. His work integrates mathematical models with computational approaches to address complex security and scalability challenges. Research Trends : Recent publications highlight his leadership in blockchain-based energy trading privacy, cross-domain access control systems, IoT security frameworks, and federated learning approaches for vulnerability detection. His work combines theoretical rigor with practical implementations in domains ranging from healthcare to military applications. Scientific Recognition : Member, ARC College of Experts (2022-2024) Supervision & Funding : Prof. Tari has successfully supervised 31 PhD students to completion and secured over AUD 21 million in research funding through prestigious grants including an ARC Research Hub, CRC-P, multiple ARC Discovery Projects, and industry partnerships with organizations like Siemens. His research has produced 279 publications with an h-index of 49 and over 10,800 citations.

Olajide Funminiyiمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Digital Forensics
• Incident Response and Management
• +۳ مورد دیگر

Dr. Olajide Funminiyi is a Senior Lecturer in Cyber Security and Digital Forensics at the School of Computer Science and Engineering, University of Westminster, London. He serves as Course Leader for the MSc Cyber Security and Forensics program. With over 32 years of professional experience, his expertise spans academic leadership, research supervision, and industry collaborations. Dr. Olajide holds a PhD in Cybersecurity from the University of Portsmouth, an MSc in Forensic Information Technology, and an MBA from Edge Hill University. His research focuses on cyber security frameworks, digital forensics (including malware analysis, mobile, and cloud forensics), incident response, and enterprise security management. He is Editor-in-Chief of the International Journal of e-Healthcare Information Systems and a member of professional bodies such as the Chartered Society of Forensic Sciences and the British Computer Society. Dr. Olajide actively supervises PhD students and has successfully mentored researchers in areas like cybercrime management and SCADA forensics. Education: PhD in Cybersecurity: Digital Forensics Investigations (University of Portsmouth, UK) MSc in Forensic Information Technology (University of Portsmouth, UK) MBA with Distinction (Edge Hill University, UK) Research Interests: Cybersecurity, Digital Forensics, Incident Response, Cloud Computing, Enterprise Agility, and Information Systems Management. He emphasizes cross-disciplinary approaches to address cyber threats in business and organizational contexts. Professional Roles: Director of Studies (DoS) for PhD students at the University of Westminster Former Senior Lecturer and Course Leader at Nottingham Trent University Collaborations with Airbus on SOC and Cybersecurity Management Awards & Memberships: Senior Fellow, Higher Education Academy (SFHEA-UK) Fellow, British Computer Society (FBCS-UK) Member, Chartered Society of Forensic Sciences (CSFS-UK) Supervision & Grants: Supervised over 10 PhD candidates, including Dr. Olatorera Chidozie Williams (completed in 2023). Actively involved in mentoring and guiding doctoral researchers in cybercrime, forensics, and cloud security. Research projects include frameworks for user input analysis, SCADA forensics, and cyber-attack mitigation strategies. Labs & Teams: Member of the Cyber security Criminal Investigative and Forensic Research (CIFR) group at the University of Westminster, focusing on interdisciplinary cybersecurity solutions.

Stjepan Grošمشاهده پروفایل

دانشیار

• Cybersecurity
• Industrial Automation Systems
• Network Anomaly Detection
• +۳ مورد دیگر

Stjepan Groš is an Associate Professor at the Faculty of Electrical Engineering and Computing (FER) , University of Zagreb. His research focuses on cybersecurity , industrial automation , and network traffic analysis . Department of Electronics, Microelectronics, Computer and Intelligent Systems Expertise in machine learning applications for security and formal methods in SCADA systems Extensive work on anomaly detection , firewall logs , and reputation systems His recent publications examine usability of cybersecurity solutions in industrial settings, JavaScript obfuscation analysis , and synthetic log generation for security testing. Themes include network anomaly detection , endpoint security , and attack modeling . No scientific awards were explicitly mentioned in the provided text. His research also addresses real-time processor modeling and distributed intrusion detection , with practical implementations in Linux environments.

Burak Barutçuمشاهده پروفایل

استادیار

• Renewable Energy Forecasting
• Machine Learning Applications
• Solar Energy
• +۲ مورد دیگر

Burak Barutçu is an Assistant Professor at the Energy Institute of Istanbul Technical University, specializing in renewable energy forecasting and optimization. His research integrates machine learning and AI techniques to advance solar/wind energy applications. Research Focus: His work spans solar forecasting, wind turbine diagnostics, and energy infrastructure optimization. Key methodologies include deep learning, chaotic modeling, and hybrid feature engineering for renewable systems. Projects: ITU Historical Scientific Instruments Inventory (2024-2025) Photovoltaic Output Forecasting (2022-2024) Wind Turbine Energy Prediction Algorithms (2022-2024) Energy Production Data Systems (2010-2021) His publications emphasize practical AI applications for sustainable energy solutions, with work featured in journals like IEEE Transactions on Sustainable Energy and Journal of Renewable and Sustainable Energy .

Alireza Mousaviمشاهده پروفایل

استاد

• Digital Transformation
• Industry 4.0
• Smart Manufacturing
• +۶ مورد دیگر

Professor Alireza Mousavi is affiliated with Brunel University in the College of Engineering, Design and Physical Sciences , where he contributes to research and teaching across Mechanical and Aerospace Engineering , Computer Science , and Electronic and Electrical Engineering departments. A graduate of Tehran Azad University (BEng, 1994) and Brunel University (PhD, 2000), he has taught modules in Systems Modeling , Machine Learning , Embedded Systems , and Control Theory to international cohorts since 2002. His research focuses on Digital Transformation for Industry 4.0 Smart Manufacturing Systems Predictive Maintenance AI-Driven Automation Sustainable Supply Chains leveraging technologies like Sensors/Actuation , SCADA , and Machine Learning . Recent publications address challenges in autonomous vehicle safety , laser module assembly analytics , and PCB component recognition , reflecting his expertise in real-time industrial systems. He leads the Brunel Centre for Digital Manufacturing and has secured over £20M in grants from EU, UK, and US agencies. Scientific contributions include the Newton Advanced Fellowship (2015-2020) and collaborative projects in wastewater management , microelectronics , and photonics . His mentorship spans 15+ PhD students in areas like human network modeling and predictive industrial control .

• Predictive Maintenance
• Mixed Reality Applications
• Human-Robot Collaboration
• +۵ مورد دیگر

Bernard Schmidt is an active researcher at the University of Skövde's School of Engineering Science, specializing in Production and Automation Engineering. His work bridges cutting-edge mixed reality applications with industrial predictive maintenance systems, focusing on sustainable manufacturing solutions. Affiliated with the Virtual Systems Research Centre (closed 2017) and Virtual Engineering Research Environment, he contributes to multiple research profiles including VF-KDO and Virtual Production Development. His research interests center on predictive maintenance methodologies , human-robot collaboration interfaces , and cloud-enhanced manufacturing systems . Schmidt develops mixed reality training environments that reduce production line disruption while improving operator safety. His work integrates double ball-bar measurements with machine learning to create population-based maintenance models that achieve 40% cost reduction compared to traditional approaches. Current projects include ACCURATE (2021-2025) and VF-KDO (2019-2026), funded by Sweden's Knowledge Foundation. Analysis of Schmidt's 15 most recent publications reveals a strong trend toward real-time industrial decision support systems using mixed reality visualization. His work consistently addresses sustainable manufacturing through energy-efficient robotics and predictive maintenance frameworks that leverage cloud computing. Key subfields include virtual sensor integration, collision avoidance algorithms, and multi-objective optimization for robotic cells - demonstrating practical applications in automotive and elevator manufacturing. Research funding highlights include: Knowledge Foundation (KKS) projects: ACCURATE (2021-2025), VF-KDO (2019-2026), Virtual Factory with Knowledge-Driven Optimization (2018-2026) European Commission grant (637107) IPSI Industrial Research School collaboration with Volvo GTO and Volvo Cars Schmidt actively supervises bachelor's degree projects at ASSAR Industrial Innovation Arena in Skövde, with recent work involving Natalia Sempere Maciá and Celia Redondo Verdú. His research integrates with ABB Robotics systems through partnerships with experts like Tommy Y. Svensson. Current laboratory work focuses on HoloLens 2 implementations for robotic cell visualization and safety system development for human-robot collaborative environments.