جست‌وجوی استاد و پژوهشگر

Liz Baconمشاهده پروفایل

استاد

• Technology Enhanced Learning
• Smart Systems
• Cybersecurity
• +۳ مورد دیگر

Professor Liz Bacon serves as Principal and Vice-Chancellor of Abertay University. She holds a PhD in Artificial Intelligence and is a Chartered Engineer, Chartered Scientist, and Fellow of the BCS. Leadership: President of EQANIE (European Quality Assurance Network for Informatics Education), former President of BCS (The Chartered Institute for IT), and Trustee of Bletchley Park Trust. Contributed to national computing education reforms and international accreditation standards. Research Focus: Develops technology-enhanced learning environments with applications in crisis management and eHealth. Specializes in smart games-based learning, adaptive educational systems, and AI applications for immersive learning. Publications: Recent work addresses e-commerce metrics, gender equity in technology, and inclusive game-based learning approaches. Maintains interdisciplinary focus combining technical innovation with educational applications.

Nitin Aggarwalمشاهده پروفایل

استاد

• Technology Standardization
• Intellectual Property Issues
• Economics of Standards
• +۳ مورد دیگر

Nitin Aggarwal is a Professor in the School of Information Systems and Technology at the Lucas College and Graduate School of Business, San José State University. He holds a Ph.D. in Business Administration (MIS) from Texas Tech University, an MBA in Marketing, and an undergraduate degree in Physics from Delhi, India. His research focuses on technology standardization, intellectual property governance, and transaction cost analysis in technology development. He teaches courses in networking, data communications, and business systems policy. Education: Ph.D., Business Administration (MIS), Texas Tech University, 2007 MBA, Marketing, [Institution Not Specified] Bachelor of Science, Physics, Delhi, India Research interests include the economics of technology standards, IP bundle theory, and the impact of coalition size on standard-setting initiatives. His work explores how governance structures influence innovation and market outcomes in IT sectors. Recent studies address IoT adoption barriers, AI in education, and MOOC subscription behaviors. Teaching responsibilities include multiple sections of Networking and Data Communications (BUS4 111), Introduction to Business Programming (BUS4 092), and Business Systems and Policy (BUS4 188), with courses offered across semesters from 2018 to present. Office hours are maintained for student consultations.

• Evolutionary Computation
• Multi- and Many-Objective Optimization
• High-Dimensional Visualization
• +۳ مورد دیگر

Dr. Amin Ibrahim is an Associate Teaching Professor in the Faculty of Business and Information Technology at Ontario Tech University, specializing in evolutionary computation, optimization, and machine learning. He holds a PhD and MASc in Computer Engineering from Ontario Tech University and a BASc in Computer Engineering from the University of Toronto. His research focuses on multi- and many-objective evolutionary algorithms, high-dimensional visualization, and applying optimization techniques to big data challenges. He has won two Teaching Excellence Awards at Ontario Tech University (2008 and 2018) and contributed to peer-reviewed journals, book chapters, and conferences. Education: PhD in Computer Engineering, Ontario Tech University MASc in Computer Engineering, Ontario Tech University BASc in Computer Engineering, University of Toronto Research interests span evolutionary algorithms, machine learning applications, and optimization-driven solutions for complex systems. Recent work includes electric vehicle infrastructure planning and resilient supply chain design. His articles address multi-objective optimization, risk management, and sustainable transportation. Awards and Honors: Teaching Excellence Award (2008, 2018) Graduate Continuing Scholarship (2008) Graduate Entrance Scholarship (2007) Professional Involvement: Session chair at IEEE World Congress on Computational Intelligence (2016), workshops on cybersecurity and supply chain management, and contributions to IBM CASCON (2008). Active in the Business Analytics & AI Research Group, focusing on transforming data into actionable insights for business decision-making. Teaches courses ranging from cryptography to discrete mathematics and business analytics.

• Criminology
• Criminal Law
• Forensic Science
• +۴ مورد دیگر

Dr Emily Finch is a Senior Lecturer in Law at the University of Surrey's Surrey Law School. Her research focuses on criminology, criminal law, and forensic science, with specializations in stalking, drug-assisted rape, identity fraud, and jury decision-making. She has advised organizations on fraud prevention and offender profiling, and her work has influenced domestic and international legal policies. Her research has been recognized with prestigious awards, including the Cavendish Book Prize (2001) for her book The Criminalisation of Stalking and the Joseph Lister Award (2005) for contributions to identity fraud research. Her studies on drug-assisted rape were rated 'outstanding' by the ESRC and cited in landmark legal cases like R v. Sturm (2005, New Zealand Court of Appeal). Dr Finch's academic contributions include edited collections on criminological topics such as stalking, digital identity theft, and cybercrime. She has engaged with policy-makers globally and maintains active collaborations in forensic legal studies.

Melike Erol-Kantarciمشاهده پروفایل

دانشیار

• AI-enabled wireless networks
• 5G and 6G communications
• Smart grids
• +۷ مورد دیگر

Melike Erol-Kantarci is an Associate Professor and Tier 2 Canada Research Chair in AI-enabled Next-Generation Wireless Networks at the School of Electrical Engineering and Computer Science, University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She holds a PhD and has over 140 peer-reviewed publications, with an h-index of 37. Her research focuses on AI-driven wireless networks, 5G/6G communication systems, smart grids, and cybersecurity. Education: PhD in Electrical Engineering (not explicitly stated, inferred from profile). Research interests include AI-enabled wireless networks, smart grids, IoT, and underwater sensor networks. She has received awards such as the 2019 N2Women recognition and IEEE Best Tutorial Paper Award (2017). She serves on editorial boards of IEEE journals and has organized international conferences. Her recent articles emphasize AI applications in 6G networks, secure communications, federated learning, and resource allocation. Key trends include leveraging LLMs for network orchestration, combating adversarial attacks, and optimizing next-gen wireless architectures. Her work on beam selection, ISAC, and RIS-assisted systems addresses critical challenges in 5G/6G. Awards include the Canada Research Chair and best paper recognitions. She actively contributes to open RAN standards and has co-edited books on smart grids and intelligent transportation. Her lab, NETCORE, drives innovation in networked systems.

Anirudh Sivaramanمشاهده پروفایل

استادیار

• Computer Networks
• Network Programmability
• Distributed Systems
• +۳ مورد دیگر

Anirudh Sivaraman is an Assistant Professor of Computer Science at New York University's Courant Institute, specializing in computer networks and programmability. He holds a PhD from MIT (2017) and a BTech from IIT Madras (2010). His research focuses on enabling ubiquitous network programmability through hardware-software systems, including compilers, runtimes, and applications like distributed consensus and financial exchanges. Education: Ph.D. in Computer Science, MIT (2012–2017) S.M. in Computer Science, MIT (2010–2012) B.Tech in CSE, IIT Madras (2006–2010) Research Interests: Network programmability (e.g., P4, Barefoot Networks) High-speed packet processing and compiler optimization Distributed systems and consensus protocols Cybersecurity in programmable networks Cloud computing and microservice autoscaling Notable Articles Trends: Focus on programmable networks (P4, NIC design) Hardware-software co-design for performance Security and isolation in multi-tenant environments Compiler-based solutions for bug detection Awards: ACM SIGCOMM Doctoral Dissertation (2017), SIGCOMM Best Paper (2017), and multiple teaching awards. Advising & Grants: PI on grants totaling $900K+ (Google, Amazon, NSF). Advises 8+ PhD/Master’s students. Serves on committees for SIGCOMM, NSDI, and HotNets. Labs/Teams: Technical advisor at Clockwork. Co-organizes workshops on programmable networks and P4 standards.

Ming Xiaoمشاهده پروفایل

دانشیار

• Wireless Communications
• Network Coding
• Machine Learning
• +۱۰ مورد دیگر

Ming Xiao is an Associate Professor in the Division of Information Science and Engineering at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science (EECS). He is affiliated with the Digital Futures Faculty and leads research in wireless communications, machine learning, and network coding. His work focuses on 6G networks, distributed learning, and secure communications. Affiliations: KTH EECS, Digital Futures, Swedish Research Council, EU Horizon Europe projects Roles: Editor for IEEE Transactions on Wireless Communications, TPC Co-Chair for VTC Fall Research Interests: Dr. Xiao's expertise spans wireless communication systems (e.g., mmWave, NOMA), network coding, machine learning applications in communications, and energy-efficient distributed systems. He has pioneered work on intelligent reconfigurable surfaces (RIS), federated learning in edge computing, and integrated sensing-communications (ISAC). Projects: Ongoing EU-funded projects include ASCENT (autonomous vehicular networks) and COVER (unmanned aerial vehicles for emergency response). Past projects include 6G channel coding and intelligent energy management in smart communities. Grants: Over 12 active grants from VR, EU Horizon Europe, FORMAS, STINT, and VINNOVA Awards: IEEE Vehicular Technologies Society Best Paper Award (2023), World Top 2% Researcher (2020–2023), Highly Cited Researcher in Computer Science/Engineering. Labs/Teams: Leads the KTH Digital Futures initiative, collaborates with RISE Research Institutes, and manages a team of 12 PhD students/postdocs focusing on 6G, distributed ML, and secure IoT.

Wong Kok Sheikمشاهده پروفایل

دانشیار

• Multimedia Signal Processing
• Cybersecurity
• Digital Health
• +۳ مورد دیگر

Associate Professor Wong Kok Sheik is the Deputy Head (Research) at the School of Information Technology, Monash University Malaysia. He holds a Doctor of Engineering from Shinshu University (Japan) and advanced degrees in Computer Science and Mathematics from Utah State University (USA). His research focuses on multimedia signal processing, cybersecurity, and digital health, with contributions to data hiding, encryption, and smart grid security. He leads a EU-funded WAge project on post-pandemic workplace health interventions. Education: PhD in Engineering, Shinshu University, Japan (2009) Masters in Computer Science & Mathematics, Utah State University, USA (2005-2004) Bachelor of Science, Utah State University, USA (2002) Professional Roles: Associate Editor, IEEE Signal Processing Letters Member, IEEE Signal Processing Society’s IFS Technical Committee Board Member, APSIPA Multimedia Security and Forensics (MSF) Committee His research interests span multimedia forensics, encrypted domain processing, and cybersecurity frameworks. Notable projects include recovery of missing coefficients in compression standards and HDR imaging enhancement. Recent work integrates digital health, addressing workplace mental/physical health in post-pandemic environments. Publications reflect expertise in watermarking, encryption, and biometric security. Key contributions include encryption-resistant data embedding and secure smart grid analytics. Awards include IEEE CES Service Awards (2015, 2016) and Best Paper recognitions. He supervises over 20 PhD/MSc students, focusing on topics like biometric recognition, data hiding, and anomaly detection. Grants include a €2M EU Horizon 2020 project (IDENTITY) and a RM146k smart grid initiative. His teaching emphasizes foundational IT research methods and theoretical computer science.

Georgios Kavallieratosمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Maritime Cybersecurity
• Cyber-Physical Systems
• +۴ مورد دیگر

Georgios Kavallieratos is a Researcher at the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering at NTNU. His work focuses on cybersecurity challenges in maritime systems, cyber-physical systems, and critical infrastructure. He is affiliated with the Critical Infrastructure Security and Resilience research group. Key research areas include maritime cybersecurity, attack path analysis, risk assessment for cyber-physical systems, and safety-critical system protections. He has co-authored over 30 publications since 2019, addressing topics like cybersecurity in autonomous ships, satellite systems, smart homes, and dairy farming automation. His work emphasizes interdisciplinary solutions combining technical defenses with human factors and regulatory compliance. Recent publications highlight trends in maritime cybersecurity trends, cyber risk propagation in complex systems, and threat modeling for emerging technologies. He collaborates frequently with Sokratis Katsikas and other experts in the field. His research often bridges theoretical frameworks with practical case studies (e.g., supply chain tracking systems, MilliAmpere2 autonomous ship). Labs/Teams: Active in the Critical Infrastructure Security and Resilience group at NTNU, contributing to projects like CRASH (Cyber Risk Assessment For Ships) and SafeSec Tropos requirements engineering frameworks.

Siraj Shaikhمشاهده پروفایل

استاد

• Cybersecurity
• Systems Engineering
• Cyber-Physical Systems
• +۲ مورد دیگر

Professor Siraj Shaikh is a Professor in Systems Security at Swansea University (UK) with joint appointment as Visiting Professor at Nebrija University (Spain). His research specializes in cybersecurity for automotive and transport systems, focusing on cyber-physical systems security. He co-founded CyberOwl, a maritime security analytics company. His research explores the intersection of cybersecurity, systems engineering and computer science, particularly addressing security challenges in connected vehicles and transportation infrastructure. Current work examines threat modeling, risk assessment frameworks, and security validation methods for automotive systems. Professor Shaikh's publications demonstrate consistent focus on automotive cybersecurity, evolving from fundamental security frameworks to specialized applications in vehicular networks and hardware security. Recent work shows increased emphasis on practical implementations and supply chain security. Honors include: Royal Academy of Engineering Industry Fellowship (hosted at HORIBA MIRA) His research has been funded by EPSRC, ESRC, Lloyds Register Foundation, DSTL, British Council and Royal Academy of Engineering. He has authored the book Formal Methods for Software Engineering (Springer, 2022) and leads the Systems Security research group.

• Functional Safety
• Safety Instrumented Systems (SIS)
• Cybersecurity in Industrial Systems
• +۵ مورد دیگر

Mary Ann Lundteigen is a Professor in instrumentation systems and safety at NTNU’s Department of Engineering Cybernetics, part of the Faculty of Information Technology and Electrical Engineering. She holds an MSc (1993) and PhD (2009) in Engineering Cybernetics from NTNU, with 15+ years of industry experience across Phillips Petroleum, Nidar AS, DNV, and SINTEF. She has led major research initiatives including SFI SUBPRO (2014–2023) and SFI Autoship (2019–2022), focusing on subsea production, autonomous ships, and cybersecurity for safety-critical systems. Her research emphasizes functional safety of industrial control systems, cybersecurity compliance with standards like IEC 62443, and the integration of AI in safety-critical environments. She leads projects such as APOS 2.0 (digital lifecycle management) and CyberBarrier Management, while supervising multiple PhD students and postdocs. Lundteigen co-authored over 100 publications and received the ExxonMobil Doctoral Prize (2009) for her thesis on SIS reliability. Professional roles include: Co-director of SFI SUBPRO Director of SFI Autoship’s initial phase Adjunct Professor at NTNU (2013) Member of IEC 61511 maintenance team and PDS forum organizing committee Current research focuses on: Cybersecurity threats to SIS AI applications in safety systems Digital twins for safety demonstration Industry 4.0 frameworks like OPC UA Her work bridges academia and industry, with active projects funded by the Norwegian Research Council and industrial partners like Equinor and DNV.

Bent Ole Gram Mortensenمشاهده پروفایل

استاد

• Public Law
• Energy Law
• Supply Law
• +۱۳ مورد دیگر

Bent Ole Gram Mortensen is a Professor of Public Law in the Department of Law at the University of Southern Denmark, Faculty of Social Sciences. He is an active academic with extensive research, teaching, and public engagement, particularly in energy, environmental, and marketing law. His work bridges legal scholarship with policy and public discourse. His research interests include: Energy and supply law (district heating, electricity, renewables) Greenlandic resource and environmental law Environmental law related to energy use Marketing law, including greenwashing and climate labeling Data protection and cybersecurity in the energy sector Standardization and public procurement His recent articles reflect a strong focus on climate law, energy regulation, data protection, and consumer rights in the energy market. Themes include legal responses to greenwashing, cybersecurity in energy systems, utility bankruptcies, and climate legislation. His work combines public law with environmental and economic regulation, emphasizing accountability, sustainability, and consumer protection. Scientific awards received: Det Samfundsvidenskabelige Fakultets undervisningspris, Syddansk (2003) Årets forskerpris 2001 (2001) Årets juridiske underviser 2000 (2000) Mortensen has supervised students and led significant research projects such as the 4DH Strategic Research Centre. He teaches courses including Digital Governance, Market Regulation (including a part-time offering), Environmental Law, and Public Procurement Law. His public engagement is extensive, with over 600 media appearances, where he provides expert commentary on legal and policy issues in energy and environmental law.

• Power System Protection
• Smart Grid Interoperability
• Wide Area Measurements
• +۳ مورد دیگر

Ibrahim Faiek Abdulhadi is affiliated with the Power Networks Demonstration Centre at the University of Strathclyde. His roles include Co-investigator and Principal Investigator in 16 active and completed projects focusing on smart grid technologies and power system protection. His research interests span power system protection, smart grid interoperability, wide area measurement systems, real-time simulation, and experimental validation of controls. He has contributed to major initiatives like the System Frequency Response (SFR) Demonstrator dataset (2017). Recent research outputs include studies on EV charging infrastructure deployment and cybersecurity protocols for IEC 61850-90-5 standards. His work aligns with UN Sustainable Development Goals related to affordable and clean energy. Abdulhadi has organized the PNDC Knowledge Exchange Forum (2025) and delivered invited talks on wide area monitoring systems (2020). His expertise combines theoretical research with practical implementation through collaborative industry projects.

Kinfe Yilmaمشاهده پروفایل

مدرس ارشد

• Law and Technology
• Privacy and Data Protection Law
• AI Governance
• +۳ مورد دیگر

Dr. Kinfe Yilma is a Senior Lecturer at the School of Law, University of Leeds (since 2024). He previously served as Associate Professor of Law and Technology at the University of Addis Ababa and Teaching Fellow at the University of Melbourne Law School. His expertise spans law and technology, with a focus on privacy/data protection law, AI governance, platform governance, and cybersecurity law. He holds advanced degrees including a PhD from the University of Melbourne and has authored multiple monographs, including 'Privacy and the Role of International Law in the Digital Age' (Oxford UP, 2023). Education: PhD in Law (University of Melbourne) MPhil in Ethics of AI, Data & Algorithms (University of Cambridge) LLM in International Law (Brunel University London) LLM in IT Law (University of Oslo) LLB (University of Addis Ababa) Research Interests: He explores intersections between technology and law, particularly in digital governance frameworks. His work critiques regulatory gaps in areas like AI ethics, platform accountability, and cross-border data flows. Active in policy advisory roles, he has consulted for the African Union, Intergovernmental Authority on Development, and governments of Lesotho and Ethiopia. Professional Contributions: He co-founded the Platform Governance Research Network and Digital Constitutionalism Network. Current projects include a monograph on 'The Global Governance of Artificial Intelligence' (Routledge, 2025).

Elaine O. Nsoesieمشاهده پروفایل

دانشیار

• Data Science in Public Health
• Machine Learning & AI for Global Health
• Epidemiology
• +۵ مورد دیگر

Elaine O. Nsoesie is an Associate Professor at Boston University's School of Public Health, Department of Global Health, with affiliations in Biomedical Engineering and Computing & Data Sciences. Her work bridges computational methods with public health challenges, focusing on AI-driven solutions for global health equity. Key roles include leading the AIM-AHEAD consortium and advising on Sierra Leone's national data initiatives. Education: PhD in Computational Epidemiology, Virginia Tech MS from Virginia Tech Her research integrates non-traditional data sources (social media, satellite imagery) with machine learning to address issues like disease forecasting, health equity, and algorithmic bias. Notable projects include dengue outbreak prediction in Colombia and analyzing racial disparities in healthcare AI. Awards: 2024 Health Innovators to Watch 2024 Mozilla Rise25 Award NIH Director’s Award (2023) Junior Faculty Fellow (Hariri Institute, 2020–2023) Grants and initiatives include $2.4M NIH funding for AIM-AHEAD and leadership in Africa's AMedRA alliance. She co-directs Boston University's Evans Center projects and teaches courses on computational epidemiology. Labs/Teams: Active in Hariri Institute's data science group and Evans Center's interdisciplinary teams focused on global health technology solutions.