جست‌وجوی استاد و پژوهشگر

Kheng Cher Yeoمشاهده پروفایل

مدرس ارشد

• Security
• Networking
• Image Processing
• +۲ مورد دیگر

Dr. Kheng Cher Yeo is a Senior Lecturer in Information Technology at the Faculty of Science and Technology. His research focuses on interdisciplinary areas including cybersecurity, networking, image processing, control systems, and machine learning. He explores innovative solutions for IoT security frameworks, healthcare technology, and privacy-preserving systems. His work integrates machine learning with healthcare diagnostics, cybersecurity forensics, and smart city accessibility. Key research interests include: IoT Security & SDN Integration Medical Imaging & AI-Driven Diagnostics Privacy in Healthcare Systems Malware Analysis & Forensic Techniques Bio-inspired Authentication Systems Recent publications highlight advancements in: Automated respiratory disease diagnosis via lung ultrasound Cybersecurity frameworks for IoT and DDoS mitigation Privacy-by-design healthcare record management Smart city accessibility through crowdsourcing His research demonstrates a strong focus on practical applications of AI and cybersecurity in healthcare, smart infrastructure, and data protection. No scientific awards are noted in the provided texts.

Ralf Tönjesمشاهده پروفایل

استاد

• Mobile Communication Networks
• Internet of Things (IoT)
• Data Security
• +۴ مورد دیگر

Ralf Tönjes is a Professor of Mobile Communications and Project Management at Osnabrück University of Applied Sciences , leading the Mobile Communications Working Group . His affiliation is under the Faculty of Engineering and Computer Science . Previously, he held roles at Ericsson Corporate Research and earned a doctorate summa cum laude in Electrical Engineering from the University of Hanover (1998). He holds dual degrees: a Dipl.-Ing. in Electrical Engineering/Communications (University of Hanover, 1989) and an M.Phil. in Biomedical Engineering (University of Strathclyde, Glasgow, 1990). Research Focus: Mobile communication networks, IoT applications in Industry 4.0/smart cities, data security, and service platforms. Key areas include 5G networks, network synchronization, and secure IoT device configurations. He chairs conferences like the VDE/ITG Mobile Communications Conference (since 2005) and contributes to standardization bodies such as the ITG Technical Committee 5.2. Patents & Innovation: Holds patents on cellular radio network design, multicast transmission protocols, and IoT broadcast systems. Notable projects include OPeRAte (IoT-based cooperative farming) and CityPulse (smart city data analytics). Awards & Leadership: Recognized for his doctoral achievement and as a founding member of the Lower Saxony Data Protection Center (NDZ) . Active in industry partnerships, including the Agricultural Industry Electronics Foundation (AEF) and the iuk Business Network Osnabrück . Teaching: Offers courses on mobile communications, IoT, telematics, and project management across B.Sc./M.Sc. programs in Electrical Engineering and Computer Science. Future Work: Focused on advancing 5G/6G networks, secure IoT deployments, and resilient agricultural process management using BPMN and blockchain technologies.

Michael Coreyمشاهده پروفایل

استاد مهمان

• Responsible AI
• Privacy-Preserving Technologies
• Blockchain Applications
• +۷ مورد دیگر

Michael Corey is a Visiting Professor at Bennington College, specializing in ethical AI, privacy, blockchain, and user-centered technology development. With a background in sociology, he bridges technical innovation with social science principles. Previously, he co-founded Facebook's Demography and Survey Science team and held roles in ads, responsible AI, and diversity hiring. He holds patents in blockchain privacy and automated advertising optimization. Corey emphasizes foundational technical skills paired with critical analysis of technology's societal impact in his teaching. Education: Graduate studies at University of Chicago, London School of Economics, and Oxford University Undergraduate degree designed by Corey at Ithaca College His research focuses on: Responsible AI frameworks and fairness in machine learning systems Blockchain applications for privacy preservation in data sharing Social science methodologies including time-diary data and work-life balance studies Addressing algorithmic bias in advertising delivery systems Professional contributions include: Patented blockchain systems for secure data collaboration Mechanisms for automated ad quality prediction Teaching roles at Cornell Tech and DePaul University Consulting on Responsible AI practices Corey's work balances technical innovation with rigorous social analysis, advocating for human-centered technology development.

Zhixiong Chenمشاهده پروفایل

استاد

• Cybersecurity
• Cryptography
• Blockchain Technology
• +۶ مورد دیگر

Zhixiong Chen is a Professor in the Department of Mathematics and Computer Science at Mercy College, where he also serves as Director of the Mercy Cybersecurity Education Center and the primary Point of Contact (PoC) for the NSA Center of Academic Excellence (CAE). He pioneered Mercy’s Cybersecurity degree programs in 2007 and established the Cybersecurity Education Center in 2010. His academic leadership roles include Department Chair and Program Director for undergraduate and graduate Cybersecurity programs. Dr. Chen holds a PhD in Mathematics and MS in Computer Science from the University of Pittsburgh, along with MS and BS degrees in Mathematics from Shanghai Jiao Tong University. His research focuses on cybersecurity, cryptography, blockchain technology, AI-powered bot security, and network security, with over 50 peer-reviewed publications. He has directed NSF, DHS, DoD, and NIH-funded projects, emphasizing blockchain-based trust mechanisms and cybersecurity education innovations. His teaching spans cybersecurity, computer science, and mathematics, including cryptography, AI/ML, database systems, and calculus. He also serves as an IBM-certified instructor in blockchain and data science. Professional affiliations include senior membership in IEEE and ACM, and roles as NSF grant reviewer and New York State Cyber Security Advisory Board expert. His research trends reflect a strong emphasis on emerging technologies like AI and blockchain, with recent work addressing cybersecurity education, privacy-preserving systems, and secure ID management. He actively contributes to academic conferences as program chair and committee member, furthering interdisciplinary collaboration in computing and security fields.

Rhonda Sylerمشاهده پروفایل

دانشیار

• Cybersecurity
• Data Analytics
• Business Analytics
• +۸ مورد دیگر

Rhonda Syler is an Associate Professor and R. Jarl Bliss Faculty Fellow in the Department of Computer Information Systems and Business Analytics at James Madison University's College of Business. She holds a Ph.D. in Management of Information Technology and Innovation from Auburn University (2003), an M.B.A. from Columbus State University (1997), and two master's degrees in Mass Communications from Kansas State University (1994) and Middle Tennessee State University (1988). Her research focuses on cybersecurity, data analytics, blockchain, IoT, and emerging technologies. Notable areas include phishing defense mechanisms, IoT security, and blockchain curriculum integration. She has held leadership roles such as Program Coordinator for Data & Cybersecurity Management at the University of Arkansas (2016–2022) and served as a visiting professor at the University of Memphis (2010–2011). Dr. Syler's work emphasizes bridging theoretical and practical gaps in IT systems, with contributions to pedagogy, global education initiatives, and industry partnerships. Her articles explore topics like cybersecurity messaging strategies, analytics-security trade-offs, and the impact of geopolitical factors on ICT4D. Awards: Association of Information Systems (AIS) Distinguished Member Award (2019) Walton College Faculty Service Award Nominee (2018) Decision Science Journal of Innovation Education Paper of the Year (2006) Grants & Advising: While no student advisees are listed, her research collaborations include industry partnerships in blockchain and cybersecurity. Her recent publications highlight interdisciplinary approaches to technology adoption, emphasizing ethical and practical dimensions of emerging systems.

• IoT
• WSN Security
• Optimization
• +۴ مورد دیگر

BRAHMIA Amine is a Researcher-Lecturer at CESI LINEACT, specializing in Engineering and Numerical Tools. He holds a PhD in Computer Science from France Telecom & University of Haute Alsace (2012), a Master's from University of Versailles Saint-Quentin-en-Yvelines (2008), and an Engineering degree from University of Guelma (2006). His research focuses on IoT, WSN Security, Optimization, Smart Buildings, and Blockchain technologies. He has supervised multiple PhD students on topics like federated learning, edge computing, and smart city applications. Teaching responsibilities include Systems & Protocols, Cybersecurity, and Operational Research across engineering curricula. He managed CESI's Fablab (2016-2018) and is a certified CISCO instructor since 2015. His work spans over 30 publications in conferences like IEEE CEC, ICC, and journals like IEEE Access, focusing on optimization algorithms, federated learning, and network security. Key research contributions include hybrid metaheuristics for WSN deployment, federated learning frameworks for smart buildings, and consensus protocols for private blockchains. His publications emphasize cross-disciplinary approaches blending machine learning, optimization, and IoT integration.

Alberto Ballesteros Rodríguezمشاهده پروفایل

استاد

• Cybersecurity
• Blockchain Technology
• Data Privacy
• +۳ مورد دیگر

Alberto Ballesteros Rodríguez is a Professor at Universidad Camilo José Cela (UCJC), where he teaches courses in the Bachelor's Degree in Computer Engineering and Master's Degree in Cybersecurity . He also holds teaching roles at the Open University of Catalonia (UOC) and the University of Alcalá (UAH), focusing on blockchain, security, and privacy. Currently a PhD candidate in Information and Knowledge Engineering at UAH, his research explores privacy, security, and self-sovereign identity in Distributed Ledger Technologies (DLTs) and IoT devices. Education: PhD Candidate: Information and Knowledge Engineering, University of Alcalá (2020–present) Master's Degree: Interuniversity Master's in Information and Communication Technology Security (MISTIC), UOC-UAB-URV (2020) Bachelor's Degree: Telecommunications Engineering, Universidad Politécnica de Madrid (2017) Research & Teaching: His work bridges academia and industry, with projects funded by both public and private sectors. He has designed courses on blockchain, IoT security, and cybersecurity deployment in cloud environments. He also mentors students in Master's theses and contributes to expert courses via COIT and IUTA-IMF. Professional Experience: Researcher at University of Alcalá (2019–present) Previous roles at BBVA and Iberdrola in tech and cybersecurity (2016–2017)

Adnan Qureshiمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Adnan Qureshi is a Senior Lecturer in Computer Science at Newman University. Previously, he held academic leadership roles including Associate Professor and Head of Department (Computer Science) at the University of Central Punjab, Lahore, Pakistan (2016–2023), and Assistant Professor roles at other Pakistani institutions. He holds a PhD from the University of Bedfordshire, UK, with research focused on medical image analysis, adaptive learning systems, optimization techniques, and artificial intelligence. His administrative roles include leading departments and establishing research collaborations in healthcare informatics, adaptive learning, and AI. He has supervised numerous PhD, M.Phil., and undergraduate students in areas like medical image segmentation, deep learning, and computer vision. Qureshi is a Fellow of the Higher Education Academy (FHEA) and holds a patent for a hypermedia-based learning system (2022). Research interests span AI applications in healthcare, including medical image analysis (e.g., MRI, X-ray), adversarial robustness of neural networks, and adaptive educational hypermedia. He has led projects funded by the EU and The Punjab Group, and his work appears in top journals like IEEE Access, Springer series, and CMC-Computers & Materials Continua. Key contributions include developing AI frameworks for disease diagnosis (e.g., lung nodules, breast cancer), federated learning for medical data privacy, and blockchain-based secure cloud computing. He directs the Centre for Applied Data Analytics (CADA) and has published over 50 peer-reviewed articles.

Daniel Estradaمشاهده پروفایل

مدرس

• AI Ethics
• Engineering Ethics
• Philosophy of Mind
• +۳ مورد دیگر

Daniel Estrada is a University Lecturer in the Department of Humanities & Social Sciences at New Jersey Institute of Technology (NJIT). He holds a Ph.D. in Philosophy from the University of Illinois at Urbana-Champaign, complemented by dual undergraduate degrees in Philosophy and Computer Science from the University of California, Riverside. Education: Ph.D. in Philosophy, University of Illinois at Urbana-Champaign (2014) M.A. in Philosophy, University of Illinois at Urbana-Champaign (2005) B.A./B.S. in Philosophy and Computer Science, University of California-Riverside (2003) His research focuses on AI ethics, engineering ethics, and the philosophical implications of technology. Key areas include ethical frameworks for artificial intelligence, posthuman ethics, and the intersection of cognitive science with machine consciousness. Recent work examines value alignment in robotics and societal risks associated with posthumanism. Estrada teaches courses such as Engineering Ethics , AI Ethics Seminars , and Minds and Machines , integrating technical and philosophical perspectives. His publications span topics from decentralized social networks to the ethics of attention economies, reflecting his interdisciplinary approach to technology studies. While no formal awards are listed, his academic contributions emphasize applied ethics in emerging technologies. He has advised no students in listed records but actively engages NJIT students through course instruction and research mentorship.

Bamidele Adebisiمشاهده پروفایل

استاد

• Smart Grids
• Internet of Things (IoT)
• Smart Cities
• +۳ مورد دیگر

Professor Bamidele Adebisi is a Professor in Intelligent Infrastructure Systems and Head of the Smart Infrastructure and Industry Research (SIIR) Group at Manchester Metropolitan University's Department of Engineering. He has a PhD in Communication Systems from Lancaster University and holds roles such as Director of the African Hydrogen Partnership Trade Association and member of the Manchester Fuel Cell Innovation Centre. His research focuses on integrating sensing, communication, and data analytics into critical infrastructure like energy systems, transport, and smart cities. Awardees include the MBE for services to Knowledge Transfer and multiple industry collaboration awards. Education: B.Sc. Electrical Engineering (Ahmadu Bello University), M.Sc. and Ph.D. in Communication Systems (Lancaster University). Notable projects include leading the £29M EU-funded Triangulum smart cities project and the £10M CityVerve initiative. He has secured grants exceeding £45M across multi-country collaborations. Research interests span IoT, smart grids, peer-to-peer energy trading, and hydrogen energy. Board Member, African Hydrogen Partnership Visiting Professorships at University of Johannesburg and Afe Babalola University Editorial roles in IET Smart Cities, IEEE journals, and others Key contributions include innovations in cybersecurity for IoT, KTP award-winning projects, and academic leadership in smart infrastructure. His work bridges academia and industry, emphasizing sustainable energy and infrastructure solutions.

S. Andrew Gadsdenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cognitive Systems
• Control Systems
• +۹ مورد دیگر

Dr. S. Andrew Gadsden is an Associate Professor and Associate Chair (Graduate Studies) in the Department of Mechanical Engineering at McMaster University, where he leads the Intelligent and Cognitive Engineering (ICE) Laboratory. He holds a BEng/Mgt and PhD from McMaster University, with postdoctoral experience at the Centre for Mechatronics and Hybrid Technology. His research focuses on cognitive systems, control theory, and machine learning applications in smart systems. He has held academic roles at the University of Guelph and the University of Maryland, and collaborates with NASA, the US Army Research Laboratory, and other institutions. His research aims to enhance public trust in cognitive systems through robust estimation strategies and physics-based machine learning integration. He has received prestigious awards, including the NASA Robert H. Goddard Award (2021), SPIE Rising Researcher Award (2019), and Ontario Early Researcher Award (2018). He is a Fellow of ASME and Senior Member of IEEE. Dr. Gadsden teaches courses such as Smart Systems (MECH ENG 4SS3) and supervises graduate students. His lab hosts over 300 peer-reviewed publications and actively engages with industry via startups and advisory roles. Current research includes aerospace instrumentation (air-LUSI project), energy systems, and cognitive robotics.

Eleonora Stanchevaمشاهده پروفایل

مدرس

• Accounting Theory
• Financial Accounting
• International Financial Reporting Standards (IFRS)
• +۵ مورد دیگر

Prof. Eleonora Stancheva is a lecturer at the Department of Finance and Accounting, Faculty of Economics and Business Administration, Sofia University. She holds a PhD in Accounting and has expertise in macroeconomic analysis and infrastructure asset management. She leads the master's programs in accounting and teaches courses on international financial reporting standards (IFRS), financial accounting, and insurance enterprise accounting. Her research focuses on accounting theory, IFRS implementation, sustainability reporting, and the impact of technology on accounting practices. Education: Bachelor’s Degree in Economics, Sofia University Master’s Degree in Macroeconomic Analysis, Sofia University PhD in Accounting (2007) Professional Experience: Head of Master’s Programs in Accounting Former Manager, Accounting and Payroll Processing Department at AFA Ltd. Member of Audit Committees for Groupama Insurance SSC and Groupama Life Insurance SSC Her research explores modern challenges in accounting education, digital transformation (e.g., AI, blockchain), and sustainability integration. She actively contributes to curriculum development, emphasizing interdisciplinary approaches and technology adoption. Her work addresses ethical considerations in professional accounting and the evolving role of accountants in the digital economy. Notable contributions include studies on IFRS convergence, blockchain applications in accounting, and AI-driven decision-making tools. She advocates for stronger collaboration between academia and professional organizations to align education with industry needs.

• Cybersecurity
• Information Security
• Software Systems Engineering
• +۴ مورد دیگر

Carlos Serrão is a Professor at Iscte-Iul in the Sciences and Information Technology Department, specializing in Information Security. He holds a PhD from Universitat Politécnica de Catalunya and coordinates the Software Systems Engineering (SSE) Group while being an integrated researcher at ISTAR-IUL. His expertise spans cybersecurity, IoT security, blockchain applications, and automated vulnerability detection. He teaches courses related to information security and has contributed to interdisciplinary research in healthcare cybersecurity and digital procurement models. **Education**: Bachelor's: Informatics and Corporate Management (Iscte-Iul) Master's: Information System Management (specializing in Information Security) PhD: Computational Architecture and Distributed Systems (Universitat Politécnica de Catalunya) **Research Interests**: Focuses on automated security systems, blockchain-based solutions for privacy, IoT security frameworks, and leveraging machine learning for threat detection. His work emphasizes practical applications in healthcare, mobile ecosystems, and enterprise digital transformation. **Publications Trends**: His recent articles highlight advancements in automated vulnerability detection platforms (web/android), blockchain for data integrity, and IoT security through user-centric models. He also explores cybersecurity education's role in interdisciplinary sectors like healthcare and construction. **Labs/Teams**: Coordinates the SSE Group and contributes to ISTAR-IUL, focusing on applied research in software engineering and cybersecurity. Active in developing tools for secure mobile development and enterprise cloud migration assessments.

• mHealth
• Blockchain
• Distributed Ledger Technologies
• +۳ مورد دیگر

Catarina I. Reis is a Professor at the Polytechnic of Leiria's Escola Superior de Tecnologia e Gestão (ESTG) since 2002, teaching advanced topics in software engineering, agile methodologies, software quality, and object-oriented programming. She is actively engaged in IEEE, holding roles such as Senior Member of IEEE, Counselor of the IEEE Student Branch at Polytechnic of Leiria, Chair of the IEEE Blockchain Working Group (Portugal), and Co-Chair for Community Development/Outreach at the IEEE Blockchain Initiative. PhD in Computer Science from Universitat Politècnica de Catalunya Postgraduate in Strategic Management Her research focuses on mHealth, Blockchain, and Distributed Ledger Technologies, alongside mobile development (Android and iOS) and Agile Software Development Practices. She coordinates technological innovation projects using Java, Android, iOS, and Web platforms, emphasizing practical applications in software quality and agile methodologies. She holds certifications as a Professional Scrum Master and ISTQB Foundation Level, and contributes extensively as a reviewer and author in academic conferences and journals. IEEE roles highlight her leadership in blockchain initiatives and student mentorship at the institutional level. Senior Member of IEEE

Antonio Ruiz Martinezمشاهده پروفایل

استاد

• Telematics Engineering
• Intelligent Systems
• Electronic Payment Systems
• +۳ مورد دیگر

Antonio Ruiz Martinez serves as a Professor in the Department of Information and Communication Engineering at the Faculty of Informatics, University of Murcia. His academic career centers on Telematics Engineering within the Intelligent Systems and Telematics research group, with prior involvement in the Sistemas Inteligentes research collective. Education: Doctorate from University of Murcia (2009) with thesis "Sistemas y entornos de pago para la adquisición de contenidos y servicios electrónicos en red" (Payment Systems and Environments for Electronic Content and Services Acquisition Over Networks), supervised by Dr. Oscar Cánovas Reverte and Dr. Antonio Skarmeta Gómez. Ruiz Martinez's research integrates telematics infrastructure with intelligent systems to develop secure electronic payment frameworks for digital services. His work emphasizes cryptographic protocols for network-based transactions, e-commerce security architectures, and distributed ledger applications in service provisioning, addressing vulnerabilities in mobile payment ecosystems through adaptive authentication mechanisms. No scientific awards were documented in the source material. As a doctoral supervisor, Ruiz Martinez contributes to academic mentorship within telematics engineering, though specific current advisees aren't listed. His funding activities likely support research in secure networked payment systems through national and European technology initiatives. He actively collaborates within the Intelligent Systems and Telematics research group, focusing on next-generation authentication protocols and blockchain-integrated service delivery frameworks for telecommunications infrastructure.