جست‌وجوی استاد و پژوهشگر

Larry Pileggiمشاهده پروفایل

استاد

• Secure Integrated Circuit Hardware
• Integrated Circuits Design Methodologies
• Power Systems Simulation and Optimization
• +۳ مورد دیگر

Larry Pileggi is the Coraluppi Head and Tanoto Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU). He is also the Department Head of CMU’s ECE Department and has held prior roles at Westinghouse Research and Development and the University of Texas at Austin. His work bridges academic research and industry innovation, with co-founding ventures like Fabbrix Inc., Extreme DA, and Pearl Street Technologies. Dr. Pileggi earned his Ph.D. in Electrical and Computer Engineering from CMU (1989), following an M.S. (1984) and B.S. (1983) in Electrical Engineering from the University of Pittsburgh. His research focuses on three core areas: secure integrated circuit hardware (mitigating supply-chain threats), integrated circuits design methodologies (supporting sub-20nm CMOS and heterogeneous technologies), and power systems simulation (developing robust grid analysis tools like SUGAR). He has been recognized with numerous awards, including the prestigious 2023 Phil Kaufman Award for contributions to electronic system design, and is an IEEE Fellow. His academic leadership includes fostering maker initiatives and interdisciplinary research programs to address future challenges in energy and computing systems. Pileggi’s advising record includes over 47 Ph.D. students, many of whom collaborate with him in industry ventures. Current and past grants support his work on resilient power grids and novel memory technologies, reflecting a commitment to both theoretical and applied research. His lab, the Pileggi Lab, develops cutting-edge solutions for energy and integrated systems, emphasizing scalable simulation, secure hardware design, and next-generation memory architectures. Collaborations span institutions like ETH Zurich and industry partners in EDA and semiconductor sectors.

Marco Platznerمشاهده پروفایل

استاد

• Reconfigurable Computing
• Approximate Computing
• Self-Aware Computing
• +۷ مورد دیگر

Marco Platzner is a Professor for Computer Engineering at Paderborn University , Germany. He serves as the Dean of Research for the Faculty of Computer Science, Electrical Engineering and Mathematics and heads the Department of Computer Science. Previously, he held research positions at ETH Zurich, Stanford University, GMD (now Fraunhofer IAIS), and Graz University of Technology. Education: Diploma and PhD in Telematics (Graz University of Technology, 1991 and 1996), Habilitation in Hardware-Software Co-Design (ETH Zurich, 2002) Research Interests focus on reconfigurable computing, approximate computing, self-* computing, and embedded systems. His work addresses hardware security, FPGA design, and sustainable AI in data centers. Current projects include energy-efficient AI through deep neural network approximation for FPGAs (EKI-App) and lifecycle sustainability of socio-technical systems (SAIL). Publication Trends show expertise in FPGA security, approximate circuit synthesis, robotics, and hardware acceleration. Collaborations span robotics (ROS 2 integration), AI (transformer optimization), and cybersecurity (Trojan detection). Scientific Awards: ACM SIGDA Hall of Fame (2020) Significant Paper Award (FPL 2015) Best Paper Awards at IEEE ISVLSI (2024), ARC (2018), IEEE ReConFig (2015), and others Weierstraß Prize for Teaching (2008) Leadership Roles include membership in the board of Paderborn Center for Parallel Computing (PC2) and the Jenny Aloni Centre for Early Career Researchers. He has contributed to EU FP7 FET project EPiCS and German priority programs on embedded systems and organic computing.

Wei Sunمشاهده پروفایل

دانشیار

• Power System Restoration
• Self-healing Smart Grid
• Cyber-Physical Systems
• +۵ مورد دیگر

Wei Sun is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Central Florida, where he also serves as the Director of the Siemens Digital Grid Lab. His research focuses on power system restoration, self-healing smart grids, cyber-physical security, and renewable energy integration. Dr. Sun received his Ph.D. from Iowa State University in 2011, and his M.S. and B.S. from Tianjin University in 2007 and 2004, respectively. Prior to joining UCF, he was an Assistant Professor at South Dakota State University (2013-2015), a power system engineer at Alstom Grid (2011-2012), a visiting scholar at the University of Hong Kong (2011), and an intern at California Independent System Operator (2010). His research interests include: Power System Restoration and Self-healing Smart Grid Resilient and Secure Critical Infrastructure Cyber-Physical Systems Renewable Energy and Microgrid Distributed Energy Resources Integration Dr. Sun's recent publications demonstrate strong focus on cyber-physical security in power systems, distributed energy resource integration, and resilient grid operations. His work shows increasing emphasis on AI and machine learning applications for grid security and resilience, particularly in the context of high renewable penetration. His notable scientific awards include: Microsoft Software Engineering Innovation Foundation Award (2014) Best Paper Award, 2019 IEEE PES ISGT Asia Mentor of the Year, UCF Graduate Student Association (2019) Dr. Sun has successfully secured multiple research grants totaling millions of dollars from agencies including the US Department of Energy, National Science Foundation, Florida Center for Cybersecurity, and Microsoft. He currently serves as PI or Co-PI on several major projects including "Secure and Resilient Operations Using Open-Source Distributed Systems Platform (OpenDSP)" funded by the Department of Energy. He leads the Siemens Digital Grid Laboratory at UCF, which is equipped with utility-grade software and hardware including Spectrum Power Microgrid Management System, Power System Simulator for Engineering, and Siemens Distribution Feeder Automation. The lab provides capabilities for both software modeling and hardware-in-the-loop testing of power systems.

Lorrie Faith Cranorمشاهده پروفایل

استاد

• Usable Privacy and Security
• Privacy Engineering
• Human-Computer Interaction
• +۱۸ مورد دیگر

Lorrie Faith Cranor is the Director and Bosch Distinguished Professor in Security and Privacy Technologies at the CyLab Security and Privacy Institute, and the FORE Systems University Professor of Computer Science and Engineering and Public Policy at Carnegie Mellon University. She also directs the CyLab Usable Privacy and Security Laboratory (CUPS) and co-directs the MSIT-Privacy Engineering master’s program. She previously served as Chief Technologist at the U.S. Federal Trade Commission and is a co-founder of Wombat Security Technologies. Carnegie Mellon University – CyLab Security and Privacy Institute School of Computer Science – Department of Computer Science College of Engineering – Department of Engineering and Public Policy PhD Program in Societal Computing Human-Computer Interaction Institute (affiliate) Heinz College (affiliate) Dr. Cranor’s research centers on usable privacy and security, privacy engineering, and technology policy. Her work spans authentication systems, privacy policies, IoT security, and human behavior in digital environments. She has pioneered research on password usability, privacy labels (e.g., 'nutrition labels' for privacy), and privacy decision-making. Her interdisciplinary approach integrates computer science, public policy, and behavioral science to create systems that are both secure and user-friendly. Her recent publications reflect a strong focus on privacy interfaces, consent mechanisms, IoT security labels, and user comprehension of digital privacy. Trends include evaluating the usability of privacy controls across platforms, designing tools for developers to generate accurate privacy disclosures, and understanding user behavior in online tracking and advertising contexts. Her work frequently appears in top venues such as CHI, SOUPS, and PETS. ACM CHI Academy inductee ACM Fellow IEEE Fellow 2018 ACM CHI Social Impact Award 2018 International Association of Privacy Professionals Privacy Leadership Award 2018 IEEE Cybersecurity Award for Practice Alumni Achievement Award, McKelvey School of Engineering Top 100 Innovator under 35, Technology Review Dr. Cranor has advised numerous PhD students in interdisciplinary programs including Societal Computing, Engineering and Public Policy, and Human-Computer Interaction. Her research has been supported by grants from the National Science Foundation, DARPA, and industry partners. She serves on the boards of the Computing Research Association, Center for Democracy and Technology, and Electronic Privacy Information Center. She is a frequent media commentator on privacy and security issues. She leads the CyLab Usable Privacy and Security Laboratory (CUPS), a multidisciplinary research group that includes faculty and students from computer science, policy, and HCI. The lab focuses on making privacy and security systems more intuitive, effective, and user-controlled. Key projects include the Usable Privacy Policy Project, privacy nutrition labels, and the Personalized Privacy Assistant Project.

Amin Sakzadمشاهده پروفایل

دانشیار

• Lattice-Based Cryptography
• Wireless Communications
• Post-Quantum Cryptography
• +۶ مورد دیگر

Dr. Amin Sakzad is an Associate Professor in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. His research focuses on lattice-based cryptography, wireless communications, and post-quantum security protocols. He holds a PhD in Applied Mathematics from Amirkabir University of Technology (2011) and has held academic roles at Carleton University and Monash since 2012. Dr. Sakzad’s expertise spans lattice coding theory, MIMO systems, and privacy-preserving technologies for genomic databases and blockchain applications. He leads multiple ARC-funded projects, including work on secure databases (SRDBMS) and post-quantum cryptographic primitives for FinTech and energy sectors. His research has been recognized through awards such as the FIT Dean’s Award for Teaching Excellence (2021). Key collaborations include projects on blockchain security (CollinStar Lab), genomic data privacy, and energy market cybersecurity. His work addresses UN SDGs through contributions to quality education (SDG 4) and industry innovation (SDG 9). Recent publications highlight advancements in lattice-based cryptography (e.g., CRYSTALS-Kyber variants), privacy-preserving energy trading, and secure blockchain protocols like FPPW watchtower systems. His research bridges theoretical cryptography with practical implementations in embedded systems and 5G telecommunications. Grants: 16 active/completed projects including $1.2M in ARC funding Advising: Supervising PhD projects on lattice applications in post-quantum crypto and blockchain Labs: Core member of Monash’s Software Defined Telecommunications (SDT) Lab and CollinStar Lab

Maria Badaمشاهده پروفایل

مدرس

• Cyberpsychology
• Cybersecurity
• Human-Computer Interaction
• +۳ مورد دیگر

Dr Maria Bada is a Lecturer in Cyberpsychology at the School of Biological and Behavioural Sciences, Queen Mary University of London. She is an active researcher in the field of cyberpsychology with a specific focus on the human element of cybersecurity. Dr Bada is also a member of the committee of the Artificial Intelligence, Ethics and Society Group at QMUL. Dr Bada's research spans multiple critical areas in cyberpsychology and cybersecurity. Her primary research interests include: The effectiveness of cybersecurity awareness campaigns and factors leading to their success or failure in changing information security behavior Development of prevention activities to enhance the resilience of Small and Medium Enterprises (SMEs) against cybercrime Cybersecurity awareness initiatives for school learners in South Africa and the UK Youth delinquency and interventions to prevent cybercrime, in collaboration with the National Crime Agency and Home Office Social and psychological impacts of cyber-attacks on vulnerable groups Exploration of the cybercrime ecosystem, including cybercriminal profiles, pathways, and risk perceptions Dr Bada's publication record demonstrates a consistent focus on the intersection of psychology and cybersecurity. Her recent work shows increasing specialization in SME cybersecurity challenges, ethical considerations in security behavior change, and the psychological impacts of cybercrime on individuals and organizations. She frequently collaborates with researchers from diverse disciplines including computer science, criminology, and healthcare, reflecting the interdisciplinary nature of her work. Dr Bada has secured significant research funding for her work, including: "Enhancing national cyber resilience via SME cyber security and digital responsibility" (£328,119 from EPSRC, 2023-2026) "REPHRAIN: Supporting organisations in making effective privacy related decisions" (£50,801 from EPSRC, 2022-2023) "Assessing Organisational DSbD Awareness and Readiness" (£15,554 from ESRC, 2022-2024) She works closely with research staff including Dr Matthew Rand and collaborates with various UK government agencies including the National Crime Agency and Home Office on cybercrime prevention initiatives.

Ning Nanمشاهده پروفایل

دانشیار

• Digital business strategy
• Evolvable IT infrastructure
• Online community
• +۳ مورد دیگر

Ning Nan is an Associate Professor at the University of British Columbia's Sauder School of Business, specifically within the Department of Accounting and Information Systems. With a BA from Peking University, an MA from the University of Minnesota, and a PhD from the University of Michigan, Dr. Nan focuses on digital business strategy, evolvable IT infrastructure, and complex adaptive systems. His research explores blockchain applications, agent-based modeling, and the intersection of AI with societal challenges like sustainability. Education: PhD in Information Systems, University of Michigan MA in Information Systems, University of Minnesota BA in Computer Science, Peking University Research Interests: Dr. Nan investigates how technology shapes organizational and societal systems, with a focus on AI ethics, sustainability through personalized recommendations, and blockchain's role in decentralized supply chains. He employs agent-based modeling to simulate complex phenomena like innovation diffusion and online community dynamics. Recent work addresses explainable AI in smart cities and carbon-reduction gamification strategies. Teaching: In 2024-2025, he teaches Data Management for Business Analytics , emphasizing practical applications of data-driven decision-making. Key Research Themes: His articles highlight trends in AI sustainability (e.g., carbon footprint impacts of recommendation systems), digital business strategy (blockchain governance, app update strategies), and foundational IS theory (hyperturbulence and IS strategy).

Aybars Tuncdoganمشاهده پروفایل

دانشیار

• Digital Innovation
• Information Security
• Marketing Strategy
• +۳ مورد دیگر

Aybars Tuncdogan is a Reader in Digital Innovation and Information Security at King’s Business School, King’s College London. He holds affiliations with the King’s AI Institute, King’s Cybersecurity Centre (Informatics), and King’s Cybersecurity Group (War Studies). A Fellow of the Higher Education Academy, he also serves on the editorial review board of Industrial Marketing Management . Education : PhD in Management, Rotterdam School of Management, Erasmus University MPhil in Business Research (Distinction), Erasmus University Bachelor’s in Business Management & Computer Science (Honors), Earlham College Research Interests : His work focuses on three pillars of digital innovation: generation (crowdsourcing, AI), marketing (digital brand personality, sales ambidexterity), and protection (information security, corporate espionage). He integrates psychology (individual differences, social identity) and computer science (machine learning/AI) frameworks. Publications Trends : Recent work addresses cybersecurity challenges in retail, AI ethics in healthcare, and interdisciplinary innovation. He frequently publishes in top-tier journals like Journal of Management and Scientific American , blending academic rigor with practitioner impact. Awards & Contributions : 2015 Best Paper Award (shared) Edited books including Oxford Handbook of Individual Differences and Strategic Renewal Teaching & Pedagogy : Develops innovative teaching methods like inquiry-based learning to foster student creativity. Taught modules on digital marketing, consumer behavior, and research methods. Labs/Teams : Contributes to cybersecurity initiatives at King’s, focusing on AI-driven defense mechanisms and organizational cyber resilience strategies.

Alastair Beresfordمشاهده پروفایل

استاد

• Computer Security
• Privacy
• Mobile Systems
• +۵ مورد دیگر

Alastair Beresford is Professor of Computer Security and Head of the Department of Computer Science and Technology (The Computer Laboratory) at the University of Cambridge. He is also the Robin Walker Fellow in Computer Science at Queens' College, Cambridge. His leadership spans both academic administration and research innovation within one of the world's leading computer science departments. Professor Beresford's research focuses on the security and privacy of large-scale distributed computer systems, with particular emphasis on networked mobile devices such as smartphones, tablets, and laptops. His work examines both device-level security and the privacy implications of interactions between mobile devices and cloud-based services. His methodological approach combines critical evaluation of existing products, development of novel prototype technologies, and empirical measurement of human behavior in security contexts. His recent publications reveal a strong focus on confidentiality computing, anonymity networks, mobile security, and secure group communication. Notable projects include Pudding (private user discovery in anonymity networks), CoverDrop (secure whistleblower-journalist communication), and research on the practical viability of anonymity networks on smartphones. His work consistently bridges theoretical security concepts with practical implementations that have led to real-world security improvements in iOS, Android, and OpenSSH. Scientific Awards: Andreas Pfitzmann Best Student Paper Award (PETS 2022) for work on secure initial contact between whistleblowers and journalists Professor Beresford leads several major collaborative research initiatives including the Centre for Mobile, Wearable Systems and Augmented Intelligence (co-directed with Prof Cecilia Mascolo), the Cambridge Cybercrime Centre, and the Raspberry Pi Computing Education Research Centre. He also serves as technical director for the Isaac Learning Platform, which has supported over 500,000 users making more than 120 million question attempts since 2015. His research has practical impact, with findings leading to security fixes in major commercial products including iOS 12.2 (CVE-2019-8541), watchOS 5.2, Android 11, and OpenSSH 9.8 (CVE-2024-39894).

Christopher Kruegelمشاهده پروفایل

استاد

• Systems Security
• Malware Analysis
• Web Security
• +۷ مورد دیگر

Christopher Kruegel is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), where he conducts research in systems security. He is affiliated with the International Secure Systems Lab (iSecLab) and was a co-founder of Lastline, Inc., which was acquired by VMware in 2020. His work focuses on creating practical security solutions that address real-world problems through system building and experimental validation. Professor Kruegel's research spans multiple areas of computer security including malware analysis, web security, network security, and vulnerability analysis. His work often involves developing systems that analyze programs for malicious behavior, scanning web applications for vulnerabilities, and improving privacy on social networks. He has made significant contributions to firmware security, smart contract analysis, and mobile security through his extensive publication record. His 15 most recent publications (2022-2023) demonstrate a strong focus on practical security solutions across diverse domains including firmware security (Shimware, Fuzzware), blockchain and smart contract security (Confusum Contractum, NFT security), mobile security (TEEzz, Columbus), and vulnerability detection techniques (Actor, Toss a Fault to Your Witcher). His research shows consistent innovation in security tools and methodologies with several papers receiving distinguished awards. Fellow of the Institute of Electrical and Electronics Engineers Outstanding Graduate Mentor Award, UCSB Academic Senate Distinguished Artifact Award for Fuzzware paper Distinguished Paper Award for Ramblr paper Best Student Paper Award for Detecting Spammers On Social Networks Professor Kruegel has advised numerous graduate students and collaborated extensively with researchers at UCSB and beyond. His work has been funded by various research grants supporting his security research initiatives. He is actively involved in the International Secure Systems Lab, which focuses on practical security solutions for real-world problems.

Ben Seiyon Leeمشاهده پروفایل

استادیار

• Computational Statistics
• Spatiotemporal Modeling
• Climate Change Impact Analysis
• +۳ مورد دیگر

Ben Seiyon Lee is an Assistant Professor in the Department of Statistics at George Mason University's College of Science. His work bridges computational statistics, climate modeling, and environmental risk assessment. Education: PhD in Statistics, Pennsylvania State University (2020) Lee specializes in computational methods for high-dimensional spatiotemporal data and uncertainty quantification in climate models. His research explores climate change impacts on extreme hydrological events, wildfire emissions, and medical decision-making. Recent publications focus on Bayesian spatiotemporal frameworks for extreme precipitation analysis, zero-inflated spatial models, and multisector uncertainty quantification. His work addresses challenges in flood risk assessment, agricultural yield projections, and healthcare compliance metrics.

• Computer Science
• Algorithmic Transparency
• AI Ethics
• +۷ مورد دیگر

Jeanna Matthews is a Full Professor of Computer Science at Clarkson University and an affiliate at Data and Society. She holds a PhD from UC Berkeley (1999) and teaches courses ranging from operating systems to cybersecurity. Her research focuses on algorithmic transparency, AI ethics, and societal impacts of automated systems. Matthews is a prominent ACM leader, serving on multiple committees including the Technology Policy Subcommittee on AI Accountability. She has pioneered work on forensic software analysis in criminal justice systems and delivered DEF CON presentations on virtualization security and adversarial testing. Awards include ACM Distinguished Speaker and Fulbright Specialist roles. Her work emphasizes open-source tools and critical thinking in education, extending to global service learning programs in the Dominican Republic and Brazil. Education: PhD in Computer Science (UC Berkeley, 1999), B.S. in Math/Computer Science (Ohio State, 1994), B.A. in Spanish (SUNY Potsdam, 2016). Research Interests: Cybersecurity vulnerabilities, algorithmic accountability frameworks, automated decision systems in justice contexts, and ethical AI design. Recent projects include investigating bias in DNA forensic software through a Brown Institute grant and analyzing political polarization on social platforms. Awards & Recognition: ACM Distinguished Speaker (2018-present) Fulbright Specialist (2018-present) 2018-2019 Brown Institute Magic Grant ACM SIGOPS Chair (2011-2015) ACM Special Interest Group Governing Board Chair (2016-2018) Teaching & Outreach: Designed courses integrating open-source tools and critical inquiry, including abroad programs in Mexico, Brazil, and the Dominican Republic. Advocates for lifelong learning strategies and questioning underlying assumptions in computing systems. Key Projects: Forensic Software Accountability: Examining discrepancies in DNA analysis tools Algorithmic Transparency: Frameworks for auditing automated systems Cybersecurity Education: Adversarial testing methodologies for justice software

Hyoduk Shinمشاهده پروفایل

استاد

• Supply Chain Management
• Information Technology Economics
• Cybersecurity
• +۶ مورد دیگر

Hyoduk Shin holds the Jimmy Anklesaria Presidential Chair in Innovation and Entrepreneurship as a Professor of Innovation, Information Technology, and Operations at UC San Diego's Rady School of Management. His research bridges operations management, information systems, and strategic decision-making across multiple industries. His educational background includes: Ph.D. from Stanford University M.S. in Statistics from the University of Chicago M.S. in Management Engineering from Korea Advanced Institute of Science and Technology B.S. in Industrial Engineering from Korea Advanced Institute of Science and Technology Professor Shin's research explores critical intersections of supply chain transparency , information economics , and innovation dynamics . He investigates how forecast sharing impacts supply chain coordination, how cybersecurity investments affect open source ecosystems, and how operational constraints shape competitive strategies. His work in pharmaceutical supply chains addresses drug shortages through mandated reporting systems, while his entertainment industry research analyzes release strategies amid digital disruption. This multidisciplinary approach reveals fundamental principles about information value in complex business environments. His publication portfolio (2013-2021) demonstrates consistent contributions to top-tier journals including Management Science , Operations Research , and Information Systems Research , with emerging emphasis on healthcare operations and cybersecurity. Key thematic clusters include supply chain transparency mechanisms, open source software economics, and innovation in constrained environments. His recognition includes: Best paper award at Conference on Information Systems and Technology (2012) Management Science Meritorious Service Award (2011) Lieberman Fellowship from Stanford University (2006-2007) Chairs’ Core Course Teaching Award at Kellogg School of Management While specific grant details aren't documented in available materials, Shin's research program demonstrates sustained external validation through publication in premier outlets and industry-relevant findings. His prior position as Assistant Professor at Northwestern University's Kellogg School indicates progressive academic leadership, and his current named professorship reflects institutional recognition of research impact. The absence of student listings suggests primary focus on independent or collaborative research rather than doctoral supervision.

John Hastingsمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• +۵ مورد دیگر

Dr. John Hastings is a Professor in the Department of Computer Science at Dakota State University, part of the Beacom College of Computer & Cyber Sciences. With nearly 35 years of experience, he specializes in teaching and curriculum development in computer science, combining academic rigor with industry insights from his roles as an AI/ML engineer, team leader, and business owner. Education: Ph.D., Computer Science, University of Wyoming M.S., Computer Science, University of Wyoming B.S., Computer Science, University of Wyoming Research interests include machine learning, AI applications in natural language processing (LLMs), generative AI, computer vision, ecological/environmental AI, AI in games, and gamification in education. Recent publications focus on cybersecurity challenges, AI ethics, and insider threat detection. His work has been recognized with awards such as the AAAI’s Innovative Applications of Artificial Intelligence (IAAI) Award and an International IPM Award for Excellence related to the CARMA AI tool. Teaching emphasizes active learning and practical skills, including courses on programming, data structures, AI, and cybersecurity. He advocates for gamification in education to enhance student engagement and success.

Mustafa A. Mustafaمشاهده پروفایل

مدرس ارشد

• Information Security
• Data Privacy
• Applied Cryptography
• +۷ مورد دیگر

Mustafa A. Mustafa is a Senior Lecturer (Associate Professor) in the Department of Computer Science at The University of Manchester, where he leads the Trusted Digital Systems Cluster as part of the university-wide Centre for Digital Trust and Society. His academic journey spans prestigious institutions including The University of Manchester, where he completed his PhD, and KU Leuven in Belgium, where he served as a post-doctoral research fellow. Dr. Mustafa earned his educational qualifications through an impressive academic path: a B.Sc. in communications from the Technical University of Varna, Bulgaria (2007), an M.Sc. in communications and signal processing from Newcastle University, UK (2010), and a Ph.D. in computer science from The University of Manchester, UK (2015). His doctoral research focused on "Smart Grid Security: Protecting Users' Privacy in Smart Grid Applications," laying the foundation for his subsequent research career. Dr. Mustafa's research expertise centers on information security, data privacy, and applied cryptography with particular focus on smart grid systems, smart city applications, e-health, and IoT. His work addresses critical challenges in securing peer-to-peer electricity trading markets, smart metering infrastructure, electric vehicle charging systems, and health data management. He has developed innovative solutions for keyless car sharing systems, frictionless authentication mechanisms, and privacy-preserving protocols for data collection and distribution. His scholarly contributions demonstrate a consistent trajectory toward increasingly sophisticated privacy-preserving techniques applied across multiple domains. Recent work shows a growing integration of artificial intelligence and machine learning approaches with traditional cryptographic methods, particularly in federated learning systems and large language model verification. His research bridges theoretical cryptography with practical implementations in energy systems and healthcare applications. Dr. Mustafa's scientific achievements have been recognized with several prestigious awards: Winner of the Student Video Competition at IEEE SmartGridComm 2017 for "Secure and Privacy-friendly Local Electricity Trading" Best Paper Award at SECURWARE 2017 Distinguished Achievement Award as Postgraduate Research Student of the Year nominee by the School of Computer Science of The University of Manchester (2015) Dame Kathleen Ollerenshaw Research Fellowship (2018-2023) As an academic supervisor, Dr. Mustafa has mentored numerous graduate students through their PhD and Master's research, with a particular focus on privacy and security challenges in emerging technologies. His current supervision portfolio includes research on privacy-friendly multi-agent systems for smart grids, security for IoT in e-health, vulnerability detection in IoT cryptography, and bot detection systems. He has secured significant research funding through multiple competitive grants including EnnCore: End-to-End Conceptual Guarding of Neural Architectures (EPSRC, 2020-2024), SCorCH: Secure Code for Capability Hardware (EPSRC, 2019-2023), and SNIPPET: Secure and Privacy-friendly Peer-to-peer Electricity Trading (FWO-SBO project, 2019-2023). Dr. Mustafa leads the Trusted Digital Systems Cluster within the Centre for Digital Trust and Society at The University of Manchester. His research group comprises PhD students, postdoctoral researchers, and collaborators working on cutting-edge security and privacy solutions. The team maintains strong international collaborations, particularly with KU Leuven in Belgium, and contributes to standards development as evidenced by Dr. Mustafa's role as an expert in the IEC/SYC/WG 3 "IEC Smart Energy Roadmap."