جست‌وجوی استاد و پژوهشگر

Joshua M. Pearceمشاهده پروفایل

استاد

• Renewable Energy
• Open Source Hardware
• 3D Printing
• +۳ مورد دیگر

Dr. Joshua M. Pearce is a Professor at Western University, holding appointments in the Department of Electrical & Computer Engineering and the Ivey Business School. He is the John M. Thompson Chair in Information Technology and Innovation at the Thompson Centre for Engineering Leadership & Innovation and a Fellow of the Canadian Academy of Engineering. His research focuses on open-source appropriate technology for sustainability and poverty reduction, spanning solar photovoltaics, 3D printing, distributed recycling, and policy analysis. Ph.D. in Materials Engineering from Pennsylvania State University Former Richard Witte Professor at Michigan Tech Editor-in-Chief of HardwareX Author of multiple open-source sustainability books His work integrates engineering, economics, and policy to solve global sustainability challenges. Recent projects include agrivoltaic systems, open-source medical devices, and climate-resilient food production frameworks. He leads the Free Appropriate Sustainability Technology (FAST) research group, which has produced over 200 open-access publications cited in top-tier journals like Renewable and Sustainable Energy Reviews (IF=16.3) and HardwareX (IF=2). Dr. Pearce's scientific contributions include: Fulbright-Aalto University Distinguished Chair Top 0.06% most cited scientist (Elsevier metrics) Leading open-source hardware certification frameworks Developing low-cost scientific instruments His research team includes cross-disciplinary collaborators from Mechanical Engineering, Environmental Science, and Policy Studies. The FAST group emphasizes practical open-source solutions for energy, water, and food security in both developed and low-resource contexts.

• Network and Service Management
• Cybersecurity
• Distributed Systems
• +۵ مورد دیگر

Aiko Pras is a Professor at the University of Twente in Enschede, Netherlands. His research spans network and service management, cybersecurity, and distributed systems, with a focus on DNS security, DDoS mitigation, IPv6, and software-defined networking. Research Interests: Network and Service Management Cybersecurity and DDoS Mitigation DNS Security and IPv6 Software-Defined Networking (SDN) Internet Measurement and Performance Critical Infrastructure Protection (ICS/SCADA) Article Trends: Pras's recent work emphasizes collaborative DDoS defense, DNS security, and IPv6 vulnerabilities. His studies often involve large-scale measurements and propose practical solutions for internet resilience and security. Collaborations: He frequently collaborates with Anna Sperotto, Roland van Rijswijk-Deij, and other experts in network security and measurement.

Brian Nussbaumمشاهده پروفایل

استادیار

• State and Local Government Cybersecurity
• Cybersecurity in Smart Cities and Critical Infrastructure
• Intelligence Analysis and Communication
• +۳ مورد دیگر

Brian Nussbaum is an Assistant Professor in the College of Emergency Preparedness, Homeland Security and Cybersecurity (CEHC) at the University at Albany. He is concurrently a Fellow of the Cybersecurity Initiative at New America and an Affiliate Scholar at Stanford Law School's Center for Internet and Society (CIS). Previously, he served as a Senior Intelligence Analyst at the New York State Office of Counter Terrorism (OCT), where he established the Cyber Analysis Unit (CAU) at the New York State Intelligence Center (NYSIC). Education: Ph.D. in Political Science, University at Albany, 2009 M.A. in Political Science, University at Albany, 2007 B.A. in Political Science, Binghamton University, 2002 Nussbaum's research examines cybersecurity governance with emphasis on state/local capabilities, critical infrastructure protection, and intelligence communication. His core interests include: Policy frameworks for municipal cybersecurity resilience Threat assessment methodologies for emerging technologies Cross-jurisdictional information sharing architectures Operational challenges in smart city security His recent publications (2020-2024) demonstrate multidisciplinary analysis of cyber-physical threats, with recurring themes in: Critical infrastructure vulnerability and crisis management Evolution of financial cybercrime and regulatory responses Attribution challenges in cyber incidents Intersections of disinformation, surveillance, and democratic processes Nussbaum contributes to field-building through affiliations with New America and Stanford CIS, extending his impact beyond academia into national policy discourse. His prior operational experience at NYSIC informs applied research on public-sector cybersecurity capacity.

Adrian Filipescuمشاهده پروفایل

استاد

• Control Systems
• Robotics
• Mechatronics
• +۵ مورد دیگر

Prof. Adrian Filipescu is a full professor and PhD supervisor at the Department of Automation and Electrical Engineering, Dunărea de Jos University of Galati. He holds a PhD in Control Systems (1993) and has over 40 years of academic and research experience. His expertise spans numerical calculus, adaptive control, robotics, and Industry 4.0/5.0 applications. He has authored 12 books and over 110 indexed articles with an h-index of 11 (SCOPUS), and his work earned two UEFISCDI awards (2014, 2019). Education: Engineer diploma in Automatic Control (Polytechnic University of Bucharest, 1981) and PhD in Control Systems (Dunărea de Jos University, 1993). His research focuses on mechatronics systems integration, robotic control, digital twins, and industrial automation. Notable contributions include developing a mechatronics line with integrated autonomous robots, wheelchair systems for disabled users, and multidirectional autonomous vehicles. Research Themes: Digital twin frameworks, IoT-cloud robotics control, Industry 4.0/5.0 systems, inverse kinematics modeling, and autonomous robotic navigation. His recent work emphasizes cloud-based remote control, HIL simulation, and SCADA integration. Awards: Recipient of the 2014 and 2019 UEFISCDI 'Award for Research Results' for highly commended papers. He has led 10+ research projects, endowing labs with advanced robotic infrastructure and PLC-controlled systems. Advising & Grants: Supervised 7 completed PhD theses (including 1 international co-supervision). Projects focused on robotic-assisted manufacturing, autonomous systems, and mechatronics line optimization. Current lab facilities include mobile robots, industrial manipulators, and PLC-based control systems. Labs/Teams: Director of a research lab developing Industry 5.0-ready systems, including robotic assistants for elderly/disabled users and flexible assembly/disassembly technologies. Collaborations include NATO internships at Politecnico di Torino (Italy), INPG Grenoble (France), and ISR Coimbra (Portugal).

Nilanjan Ray Chaudhuriمشاهده پروفایل

دانشیار

• Power System Dynamics and Control
• Wide-Area Monitoring Systems
• Power Electronics in Power Systems
• +۶ مورد دیگر

Nilanjan Ray Chaudhuri is an Associate Professor of Electrical Engineering at Pennsylvania State University , affiliated with the Institute of Energy and the Environment (IEE) . His research focuses on power system dynamics and control , including wide-area monitoring systems, power electronics integration, renewable energy systems, and grid resilience. He has been recognized as an IEE Fellow and has contributed to projects like Smart Traction Systems for Weak Power Grids . Research Interests : Power system dynamics and control Wide-area monitoring systems Renewable energy integration (wind, solar) FACTS and HVDC systems Cascading failure analysis Cyber-physical security Recent Contributions : His work emphasizes grid stability in high-renewable systems, cascading failure mitigation , and frequency support from grid-forming converters. Publications (2023–2025) highlight advancements in control strategies for inverter-dominated grids, cyber-physical attack resilience, and fast simulation methods for dynamic failures. Grants & Awards : Selected grants include DOE-funded projects on grid modernization and resilience. Awards include IEE Fellow (2024) and recognition for student mentorship (e.g., 2020 Department of Energy Collegiate Wind Competition). Labs & Teams : He leads research in power grid resilience and collaborates with industry partners on MTDC grid control and wide-area monitoring solutions.

• Wireless Communication and Network Security
• Cyber Physical Systems
• Industrial Internet of Things
• +۸ مورد دیگر

Mohammad Kamrul Hasan is an Associate Professor and Head of the Network and Communication Technology Research Lab at the Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM). He holds a Ph.D. in Electrical and Communication Engineering from the International Islamic University Malaysia (IIUM) and has over a decade of prior industry experience in communication systems and network design. He has held academic positions at Universiti Malaysia Sarawak and IIUM, and is currently active in research and leadership at UKM. Ph.D. in Engineering (Electrical and Computer Engineering), International Islamic University Malaysia, 2016 M.Sc. in Communication Engineering, International Islamic University Malaysia, 2012 His research focuses on cutting-edge areas in network and communication technologies. Key interests include Wireless Communication and Network Security , Industrial Internet of Things (IIoT) , Cyber-Physical Systems , 5G and Beyond (6G) Networks , Smart Grids , and AI-driven security . He explores machine learning, federated learning, blockchain, and optimization algorithms to enhance network resilience, privacy, and efficiency in critical infrastructure and consumer electronics. His recent publications (2023–2025) demonstrate a strong trend toward intelligent and secure next-generation networks. Topics include intrusion detection in IIoT, passwordless authentication, federated learning for healthcare IoT, 6G security, and digital twins for SCADA systems. His work is frequently published in high-impact IEEE and Springer journals, reflecting a consistent and influential research output. Gold Medal for research excellence Young Scientist Award Fulbright Scholarship (Ministry of Higher Education Malaysia) Senior Member, IEEE (since 2013) Member, Institution of Engineering and Technology (IET) Member, Internet Society Dr. Hasan has served as an editorial member for prestigious journals including IEEE, IET, and Elsevier. He has led funded research projects such as the design of a two-way wireless communication system for medium-voltage electrical networks at Universiti Malaysia Sarawak. He has mentored students and collaborated widely, with co-authors from Malaysia and international institutions. He has also contributed to professional service as Chairperson of the IEEE IIUM Student Branch and as a peer reviewer for over 13 journals including Computer Networks , Internet of Things , and Soft Computing . He leads the Network and Communication Technology Research Lab at UKM, focusing on secure, intelligent, and scalable communication systems for smart cities, industry, and healthcare. His team works on AI-powered intrusion detection, blockchain for critical infrastructure, and privacy-preserving data fusion in IoT environments.

• Cryptography
• Cybersecurity
• Authentication Protocols
• +۵ مورد دیگر

Zheng Yang is a Professor at Tsinghua University's School of Software, with significant research contributions in cryptography, cybersecurity, and privacy-preserving systems. His work spans multiple institutions including collaborations with University of Helsinki's Secure System Group and Chongqing University of Technology. He maintains active research in both theoretical and applied security domains, with particular focus on industrial applications. Professor Yang's research interests center on cryptographic protocols, authentication mechanisms, and security for emerging technologies. His work addresses critical challenges in Cyber-Physical Systems security, Industrial Internet of Things protection, and privacy-preserving computation. He has made significant contributions to secure key exchange protocols, authentication systems, and defenses against sophisticated network attacks including DDoS mitigation strategies. His research bridges theoretical cryptography with practical implementations for resource-constrained environments. Analysis of Professor Yang's recent publications reveals a strong trend toward practical security solutions for industrial and embedded systems. His work increasingly focuses on balancing security with performance constraints in Cyber-Physical Systems and Industrial IoT environments. Key research themes include lightweight cryptography for resource-constrained devices, privacy-preserving location services, and novel authentication mechanisms that maintain security while minimizing computational overhead. His publications demonstrate consistent innovation in adapting cryptographic techniques to real-world security challenges. Professor Yang has established himself as a leading researcher through his extensive publication record in top security venues including IEEE Security & Privacy, USENIX Security, and ACM conferences. His work has been published consistently in high-impact journals and conferences, demonstrating sustained research productivity and influence in the security community. Professor Yang maintains active research collaborations with numerous institutions globally, evidenced by his extensive co-authorship network. His research has attracted significant funding for projects addressing critical security challenges in emerging technologies. His work on secure authentication protocols and privacy-preserving systems has practical applications across multiple industry sectors. Professor Yang leads research initiatives focused on secure Cyber-Physical Systems and Industrial IoT security. His laboratory work emphasizes practical implementations of cryptographic protocols for real-world systems, with particular attention to performance constraints in embedded environments. Current research directions include secure communication for programmable logic controllers, privacy-preserving location services, and adaptive defenses against sophisticated network attacks.

Raymond T. Albertمشاهده پروفایل

عضو هیئت علمی

• Cybersecurity
• Information Security Curriculum Development
• Online Education
• +۳ مورد دیگر

Raymond T. Albert, Ph.D., is a Professor of Practice in Mathematics and Computer Science and Director of Cybersecurity at Assumption College. He specializes in cybersecurity education, curriculum development, and interdisciplinary security initiatives. His work emphasizes practical applications of cybersecurity through collaborative learning environments and competitive training programs. Serves as Director of Cybersecurity, overseeing academic and operational security initiatives Leads research in SCADA systems security, virtual laboratory development, and K-12 cybersecurity education Active in multi-university collaborations to establish cybersecurity programs Dr. Albert has presented widely on topics including cyber defense competitions, blended learning strategies, and service-learning integration in STEM education. His publications focus on improving cybersecurity education frameworks and practical training methods.

Anne Remkeمشاهده پروفایل

استاد

• Dependability
• Security
• Critical Infrastructures
• +۵ مورد دیگر

Professor Anne Remke leads the safety-critical systems group at the Faculty of Mathematics and Computer Science at Westfälische Wilhelms-Universität Münster since October 2014. She is also affiliated with the Design and Analysis of Communication Systems group at the University of Twente, where she served as assistant professor from June 2010 and became associate professor in March 2016. Her research focuses on dependability and security in critical infrastructures, particularly electrical power systems and telecommunication networks. Her educational background includes a PhD (2008) and MSc (2004) in Computer Science from the University of Twente and RWTH Aachen respectively. Her doctoral research focused on 'Model Checking Structured Infinite Markov Chains,' for which she publicly defended her thesis in June 2008. Professor Remke's research interests center on cyber-physical systems, with particular focus on evaluation of charging strategies for local energy storage in smart homes and security of control networks (SCADA) in smart grids. Her work bridges theoretical model checking techniques with practical applications in critical infrastructure protection. She has made significant contributions to the analysis of hybrid Petri nets, stochastic models, and the development of tools for dependability evaluation. Her recent publications demonstrate a strong trend toward integrating machine learning with formal verification methods for cyber-physical systems. The research spans stochastic hybrid systems, reachability analysis, and security evaluation of smart grid infrastructures, showing consistent growth in both theoretical foundations and practical applications of dependability analysis. Veni award from Dutch Science foundation (NWO) for 'Counting on a reliable water supply' GI/ITG MMB prize for best diploma thesis in computer and communication systems Best Paper Award at Valuetools 2023 conference Best Repeatability and Artifact Evaluation Award at QEST21 Teaching award from Fachschaft FB10 (2019) Professor Remke has successfully secured multiple research grants including the DFG project 'RealyST: Reachability Analysis for Stochastic Hybrid Systems' in collaboration with RWTH Aachen. She has supervised numerous students including Katharina Sichma, Pauline Blohm, Joanna Delicaris, Verena Menzel, Mathis Niehage, Jonas Stübbe, and Lisa Willemsen. Her research group actively participates in international collaborations and standardization efforts in critical infrastructure security. The safety-critical systems group maintains several research tools including HYPEG (for simulation and analysis of hybrid Petri nets), TimeNET (a GUI for modeling hybrid Petri nets), and a Smart Neighbourhood Simulation Tool for community energy storage and trading. These tools support their research in modeling and evaluating complex critical infrastructures through both analytical methods and simulation techniques.

• Cybersecurity
• Critical Infrastructure Security
• Cyber-Physical Systems
• +۴ مورد دیگر

Aida Akbarzadeh is a Senior Researcher at the Norwegian University of Science and Technology (NTNU) , specifically within the Department of Information Security and Communication Technology under the Faculty of Information Technology and Electrical Engineering . Her work focuses on cybersecurity, critical infrastructure protection, and cyber-physical systems (CPS). Research Areas: Threat modeling, digital twins for security, dependency-based risk analysis, advanced persistent threats (APT), IT/OT integration, and industrial control system vulnerabilities. Publications: Recent work includes studies on automating threat modeling, digital twin applications, APT attacks on power grids, and protocol-specific vulnerabilities (PTP, IEC 61850, IEC 60870-5-104). Collaborations: Active in interdisciplinary research with colleagues like Laszlo Erdodi, Siv Houmb, Sokratis Katsikas, and Tore Soltvedt. Labs & Groups: Member of the Critical Infrastructure Security and Resilience Group (CISaR) . Contact: aida.akbarzadeh@ntnu.no

• Machine Learning
• Deep Learning
• Cybersecurity
• +۴ مورد دیگر

Dr. Yi Wang is an Associate Professor and Department Chairperson of the Electrical and Computer Engineering Graduate Programs at Manhattan College, New York. He also serves as Director of the Electrical & Computer Engineering Graduate Program. His research focuses on machine learning, deep learning, cybersecurity, blockchain, and their applications in cyber-physical systems. Dr. Wang is an IEEE Senior Member (since 2021) and has secured NSF grants totaling over $149,000. Education: Ph.D. Computer Engineering, University of Alabama in Huntsville M.S. Computer Science, Wuhan University of Science and Technology B.S. Information Systems, Wuhan University of Science and Technology Research Interests: Machine learning and deep learning algorithms Cybersecurity for IoT and smart grids Blockchain applications in attribute-based access control Adversarial machine learning defense mechanisms Optical fiber communication systems Recent Publications Trends: His work spans blockchain platform comparisons, adversarial attack mitigation in power systems, and AI-driven smart home solutions. He frequently publishes in IEEE journals and conferences. Awards: Best Paper Award at 2017 IEEE UEMCON Best Paper Award at 2015 ICDIP Grants and Advising: Principal Investigator for NSF-funded UIRiSCS project (2022–2025). Co-Principal on NYC DOT Loading Zone Study. Recipient of Manhattan College Faculty Summer Grants (2021, 2017). Advises graduate students in cybersecurity and IoT research. Labs/Teams: Collaborates with the University of Zaragoza, Spain on smart systems research. Leads projects on plastic optical fiber networks and AI-driven smart home systems.

• Smart-grid cyber-security
• Computer networks
• Artificial intelligence methods
• +۴ مورد دیگر

Robert Czechowski, PhD , is an Assistant Professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , Poland, stationed in the Department of Telecommunications and Teleinformatics . His office is located in building D-20, room 421, and he holds regular consultation hours on Tuesdays 14:00–15:00, Wednesdays 15:00–17:00, and Thursdays 13:00–15:00. His research portfolio is centred on securing the next generation of electrical power systems. Core interests include: Cyber-security architectures for smart grids and micro-grids Artificial-intelligence-driven intrusion detection and prevention systems (IDS/IPS) Network protocols and time-synchronisation security in SCADA environments Simulation of information flow in complex, dynamically reconfigurable networks IPv4/IPv6 network design and security policy enforcement in power-system automation Database and expert-system solutions for real-time energy-management and fraud detection Between 2014 and 2019 he authored or co-authored more than fifteen peer-reviewed works. The publications reveal a clear longitudinal trend: early work established foundational security policies and good-practice guidelines, while later studies pivot toward advanced AI/ML techniques for anomaly detection and risk quantification in smart-metering infrastructures. A recurring theme is the integration of communication-protocol security (IEC 61850, PLC, IPv4/IPv6) with higher-level cyber-physical risk governance. Scientific recognitions: None explicitly mentioned in the supplied text. Advising & Grant activities: The provided material does not list specific doctoral or master’s students, nor does it enumerate funded projects. Laboratories & Teams: He conducts research within the Department of Telecommunications and Teleinformatics, leveraging university laboratories and the wider ICT Faculty infrastructure, although no dedicated lab name is specified.

Ali Ghorbaniمشاهده پروفایل

استاد

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

Dr. Ali Ghorbani is a Professor and Tier 1 Canada Research Chair in Cybersecurity at the University of New Brunswick's Faculty of Computer Science, where he served as Dean from 2008-2017. He is the founding Director of the Canadian Institute for Cybersecurity (CIC), established in 2016. Ghorbani holds BSc (Tehran), MSc (George Washington University), and PhD (UNB) degrees. With 42+ years in academia, his research spans cybersecurity, machine learning, adaptive systems, and critical infrastructure protection. Ghorbani has co-founded three cybersecurity startups (Sentrant Security, EyesOver Technologies, Cydarien Security) and co-invented four awarded patents. He has published 300+ peer-reviewed papers and supervised 250+ researchers. Professional roles include co-founding the National Cybersecurity Consortium (NCC) and serving as co-editor-in-chief of Computational Intelligence journal. Awards & Honors: Canada Research Chair in Cybersecurity Startup Canada Senior Entrepreneur Award (2017) RBC Top 25 Canadian Immigrants (2019) CAIAC Lifetime Achievement Award (2024)

Stanko Stankovمشاهده پروفایل

پژوهشگر

• Industrial Automation
• Process Control
• SCADA Systems
• +۷ مورد دیگر

Stanko Stankov is a researcher at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Automation. His work bridges academic research and industrial application in automation, control systems, and energy-efficient industrial processes. Master's Degree, Automation, Faculty of Electronics, University of Niš, 2013 Bachelor's Degree, Automation, Faculty of Electronics, University of Niš, 1987 His research focuses on industrial automation, particularly the application of PLC and SCADA systems in mineral wool production, water treatment, HVAC, and electrical installations. His work emphasizes real-time monitoring, process optimization, and energy efficiency in industrial settings. He has contributed to the design and implementation of control systems for complex technical plants, grounding, solar power, and security installations. The recent publications reveal a consistent trend in applied control engineering, with a focus on industrial process automation, data acquisition, and system integration. His work spans chemical, water, metallurgical, and energy sectors, demonstrating interdisciplinary relevance in engineering. Stanko Stankov holds professional licenses as a responsible designer and contractor in electrical and automation systems, indicating strong industry engagement. He has been involved in over 40 major design projects and the construction of more than 20 industrial facilities. He participates in national research projects and has contributed to journals such as Facta Universitatis , Tehnika , and Chemical Industry . His expertise includes solar power plants, fire protection, video surveillance, and telecommunications infrastructure.

Shuo Yuمشاهده پروفایل

استادیار

• Health Analytics
• Interpretable Deep Learning
• Text Mining
• +۴ مورد دیگر

Shuo Yu is an Assistant Professor of Information Systems and Quantitative Sciences at the Rawls College of Business, Texas Tech University, and serves as the Wetherbe Professor in Management Information Systems. He directs the MIS Doctoral Program and teaches courses such as Big Data Security, Information Security, and Data Analytics Tools. Yu holds a PhD from the University of Arizona (Management Information Systems) and a BBA from Tsinghua University (Information Management). His research focuses on data science applications in healthcare analytics, cybersecurity, and e-commerce. Key areas include interpretable deep learning, text mining, and mobile health technologies. Notable projects include SilverLink, a smart home monitoring system for senior care using wearable sensors and machine learning. Yu’s publications span journals like MIS Quarterly and IEEE Transactions, emphasizing innovations in health profiling, fall prevention, and recommendation systems. His work integrates techniques such as Hidden Markov Models, Generative Adversarial Networks, and Bayesian networks. No scientific awards are listed. He is actively involved in advising doctoral students and contributes to the Association for Information Systems (AIS).