جستجوی استاد راهنمای دانشگاهی

Matteo Große-Kampmannمشاهده پروفایل

استاد

• Information Security
• Cybersecurity
• Distributed Systems
• +۱۲ مورد دیگر

Prof. Dr. Matteo Große-Kampmann is a faculty member at Hochschule Rhein-Waal, serving as Professor of Distributed Systems within the Faculty of Communication and Environment. His research and teaching are centered on building secure, resilient, and reliable digital systems, with a strong emphasis on integrating information security from the earliest stages of system design. He is based at the Kamp-Lintfort Campus and actively leads research in the Cloud Resilience Lab. His research interests span a wide range of cybersecurity domains, including information security awareness, healthcare IT security, mobile and 5G/6G network security, threat modeling, and privacy in smart devices. He advocates for a proactive, design-first approach to security, particularly in increasingly interconnected environments. His work combines technical depth with human factors, examining both system-level vulnerabilities and user behavior in cyber risk contexts. The recent publications reflect a strong focus on applied cybersecurity research, with trends in mobile network penetration testing, privacy in wearables, governmental cybersecurity communication, and security in healthcare and childcare technologies. His work frequently appears in top-tier venues such as DSN, PETS, ESORICS, and ACSAC, often in collaboration with students and international researchers. His scientific contributions have been recognized with awards including an Honorable Mention Award at the International Conference on Mobile and Ubiquitous Multimedia (2024) and a Best Paper Candidate at the ACM Web Conference 2022. He also contributes to the academic community as a reviewer and technical program committee member for major security conferences including NDSS, PETS, ESORICS, and ACSAC. Prof. Große-Kampmann actively supervises bachelor's and master's theses, encouraging students to explore topics such as post-Darknet marketplaces, AI in cybersecurity education, and flood of information challenges. He emphasizes ownership, preparedness, and learning through failure, fostering independent research skills. He collaborates with students and industry partners on practical projects, particularly in the areas of penetration testing and security analysis. He is involved in several research initiatives, most notably the Cloud Resilience Lab , where he and his team investigate real-world security and privacy issues in modern digital systems. His work bridges academic research with practical applications, often receiving media attention, such as coverage in Wired , EFF , and Die Zeit for his study on childcare app security.

• Gender Studies
• Sociology of Relationships
• Social Services
• +۹ مورد دیگر

Ignazia Maria Bartholini is a Full Professor at the University of Palermo within the School of Medicine and Surgery , specializing in Psychological, Pedagogical, Physical Exercise and Training Sciences . She holds office hours on Wednesdays from 10:00 AM to 1:00 PM at Viale delle Scienze, Building 15, 6th floor, room 09, or via Microsoft Teams upon email appointment. Email : ignazia.bartholini@unipa.it Phone : +3909123899409 Research Focus : Her work investigates gender violence , work-life balance , welfare systems , and social exclusion , with a particular emphasis on marginalized populations including women, migrants, and minors. Recent projects analyze citizenship income as a social equity tool, virtual violence against adolescents , and female empowerment through qualitative methodologies. Academic Contributions : Over 15 years, her research spans topics such as domestic violence , substance abuse , disability integration , and educational reforms . Key subfields include social innovation networks , gender gap in professions , proactive inclusion policies , and cross-cultural studies on Mediterranean/Nordic work-life dynamics. Teaching : She instructs courses on Sociology of Relationships , Gender Studies , and Work-Life Balance for Social Services and Social Policies students, with a focus on fieldwork-based learning and community engagement. Third Mission Activities : Active in public debates , book presentations , and outreach initiatives addressing violence prevention and social welfare, including collaborations with anti-violence centers and local municipalities across Sicily.

Nicola Bezzoمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Systems
• Control Barrier Functions
• +۵ مورد دیگر

Nicola Bezzo serves as an Associate Professor at the University of Virginia with dual appointments in the Department of Systems Engineering and the Department of Electrical and Computer Engineering. He leads research through the AMR Lab and is affiliated with the university's Link Lab, focusing on autonomous systems safety and resilience. His work bridges theoretical control frameworks with practical robotic implementations, particularly in constrained and uncertain environments. Bezzo's research centers on developing fundamentally new approaches for safe and resilient autonomous operations, with three core thrusts: (1) Control Barrier Functions integrated with Lyapunov stability theory for provably safe navigation; (2) Epistemic planning frameworks that enable robots to reason under uncertainty using active inference principles; (3) Sim-to-real transfer techniques leveraging conformal mapping for robust deployment. His work consistently addresses the critical challenge of maintaining system integrity when operating under sensor limitations, communication constraints, and unexpected environmental disturbances. Recent publications demonstrate increasing focus on heterogeneous multi-robot coordination for emergency response scenarios and human-robot teaming where predictability is paramount. Analysis of Bezzo's 15 most recent publications reveals a strong trend toward adaptive safety frameworks that dynamically adjust to environmental uncertainty. Over 70% of his 2024-2025 work incorporates machine learning components (particularly Gaussian Processes and reinforcement learning) within traditional control architectures, creating hybrid approaches for resilient navigation. The research spans both aerial (UAV) and ground (UGV) platforms with growing emphasis on cross-domain coordination. A distinctive pattern is the development of 'recovery-first' paradigms that prioritize system restoration after failures rather than solely preventing failures. Bezzo directs the Autonomous Mobile Robotics (AMR) Lab and collaborates extensively with UVA's Link Lab, a cross-disciplinary research center focused on cyber-physical systems. His lab develops experimental testbeds for evaluating navigation algorithms in physically realistic environments, including constrained indoor spaces and communication-denied scenarios. Current projects involve robotic triage systems for disaster response and resilient swarm operations for infrastructure inspection, often featuring heterogeneous robot teams combining aerial and ground vehicles.

Ingrid Moermanمشاهده پروفایل

استاد

• Wireless Networking
• Cognitive Radio Networks
• Internet of Things
• +۴ مورد دیگر

Ingrid Moerman is a part-time Professor at Ghent University and a staff member at the Internet Technology and Data Science Lab (IDLab), a core research group of imec embedded within Ghent University and the University of Antwerp. She coordinates mobile and wireless networking research and leads a team of over 30 researchers at Ghent University, with extensive involvement in European and national funding initiatives. She received her Electrical Engineering degree (1987) and Ph.D. (1992) from Ghent University. Her research spans collaborative networks, cognitive radio, software-defined radio, IoT, LPWAN, and high-density wireless access, emphasizing experimentally-supported development of next-generation wireless systems with practical implementations in spectrum management and real-time control. Recent publications (2024-2025) reveal a strong pivot toward AI-integrated wireless networking, featuring OFDMA scheduling innovations, Wi-Fi 6/7 interference mitigation, and time-sensitive networking for industrial applications. Key trends include 5G/6G convergence, vehicular communication enhancements, and digital twin frameworks for network observability, reflecting her focus on mission-critical industrial use cases. Her accolades include: 9 Best Paper Awards 2 FWO Prizes (Research Foundation - Flanders) IMEC Prize of Excellence 2001 MSc Thesis Award (as promoter) Best Demo/Exhibit Award at ICT 2013 DARPA Spectrum Collaboration Challenge Prize ($750,000) She has coordinated major EU projects (FP7/H2020: CREW, WiSHFUL, eWINE, ORCA) with industry partners, securing substantial funding for experimental wireless research. Her grant portfolio emphasizes collaborative innovation in spectrum sharing and neutral-host architectures for multi-operator environments. At IDLab, she directs advanced wireless testbeds supporting real-world validation of technologies like openwifi and White Rabbit, with active experimentation in time-sensitive networking and spectrum collaboration for industrial IoT deployments.

Alina Maria Dulipoviciمشاهده پروفایل

دانشیار

• Cybersecurity / Information Security
• Employee safety behaviors
• Organizational culture favorable to the protection of information assets
• +۶ مورد دیگر

Alina Maria Dulipovici is an Associate Professor in the Department of Information Technology at HEC Montréal. She also serves as Deputy Director of Training at the Multidisciplinary Institute for Cybersecurity and Cyberresilience (IMC 2 ) and is a member of the Information Systems Research Group (GReSI). Additionally, she works as an associate researcher at the French-speaking Center for the Computerization of Organizations (CEFRIO). Her educational background includes: M. Sc. (Management) from HEC Montréal PhD in Computer Information Systems from Georgia State University Professor Dulipovici's research focuses on cybersecurity and information security, with particular emphasis on employee safety behaviors, organizational culture related to information asset protection, and data protection risk management. Her work also explores knowledge sharing in organizations, ethics and privacy considerations, knowledge management systems, and strategic IT alignment. She employs qualitative research methods to investigate how organizations can better protect their information assets through understanding employee behaviors and organizational culture. Her recent publications demonstrate a strong focus on the intersection of human behavior and cybersecurity. She examines how values shape knowledge sharing practices and how age affects innovation with IT. Her work bridges theoretical frameworks with practical applications in organizational settings, particularly in the Canadian context where privacy laws like Quebec's Law 25 are shaping organizational practices. Professor Dulipovici actively supervises graduate students, having directed 3 master's theses and 17 supervised project management activities in the past five years. Her students' work covers cybersecurity governance, security posture visualization, privacy-enhancing technologies, conversion funnel development, and various aspects of cybersecurity implementation in organizational contexts. She is currently involved in a major cybersecurity research project called the "Insider Threat Alliance," which received nearly $5.4 million in funding from the Natural Sciences and Engineering Research Council of Canada and MITACS. Through the IMC 2 , she collaborates with research teams from Université de Montréal and Polytechnique Montréal on developing the Insider Threat Sentinel tool, which combines proactive access control with reactive malicious behavior detection using AI techniques. Her contribution focuses on the economic and sociotechnical dimensions of insider threat management.

• Mental Health
• Trauma Psychology
• Road Safety
• +۳ مورد دیگر

Dr Sara Liu is a Research Fellow at Monash University Accident Research Centre (MUARC) with a doctorate in clinical psychology and professional registration as a psychologist. Her research combines mental health expertise with road safety analysis, focusing on psychological outcomes post-injury trauma within compensable injury systems and road safety factors related to substance use. Research Interests: Mental health outcomes after injury trauma Impact of compensable injury settings on psychological recovery Road safety domains including drink/ drug-driving Culturally and linguistically diverse (CALD) community mental health Vehicle safety system prioritization using crash data Recent Projects: Proactive Common Law program evaluation at TAC Road safety hazards for blind/low vision Australians Safety performance analysis of Transurban road assets EDR implementation in Australian vehicles Scientific Engagement: Contributed to Transurban road safety consultations Key participant in acoustic vehicle alerting systems (AVAS) policy discussions Presented at VicRoads Older Road User Stakeholder Reference Group

• Artificial Intelligence
• Robotics
• Cognitive Robotics
• +۱۲ مورد دیگر

Sanem Sarıel Uzer is a Professor at Istanbul Technical University (ITU) in the Department of Artificial Intelligence and Data Engineering, part of the College of Computer and Informatics. She has been a faculty member at ITU since 2007, progressing from Instructor to Associate Professor in 2016 and achieving full Professor status in 2024. She is the founder and coordinator of the ITU Artificial Intelligence and Robotics Laboratory and leads multiple research initiatives in cognitive robotics, planning, and machine learning. Ph.D. in Computer Engineering, Istanbul Technical University (2002–2007) M.Sc. in Computer Engineering, Istanbul Technical University (1999–2002) B.Sc. in Control and Computer Engineering, Istanbul Technical University (1995–1999) Her research focuses on artificial intelligence, robotics, and machine learning, particularly in enabling cognitive systems and robots to reason, plan, and learn in complex environments. She investigates lifelong learning methods, multi-robot team strategies, and safe robot manipulation using deep reinforcement learning. Her recent work emphasizes failure anticipation, multimodal detection, and knowledge distillation to improve robot safety and autonomy. The trend in her recent publications (2023–2024) shows a strong focus on enhancing the safety and reliability of robotic manipulation through AI techniques such as deep reinforcement learning, adversarial learning, and multimodal perception. Her work spans both theoretical algorithm development and practical applications in service and industrial robotics. Scientific Awards: Siemens Turkey Excellence Award (2004) TÜBİTAK 13th Technology Award – Best Product (2018) TÜBİTAK 13th Technology Award – University-Industry Collaboration Mention (2018) Best Visual Presentation Award, IEEE SIU (2016) ITU Project Performance Award (2020) TÜBİTAK Ufuk 2020 (2019) Necdet Eraslan Project Competition Mention (2007) She has supervised numerous students in RoboCup competitions and led multiple funded research projects, including two TÜBİTAK projects on lifelong learning for cognitive robots and the development of the open-source Violet system for robot vision. She has also served as a consultant on AI projects with companies like Triodor, Artı Teknoloji, and Analitik Bilişim. Her grants include funding from TÜBİTAK, ITU Scientific Research Projects, and the Ministry of Science, Industry and Technology. She leads the ITU Artificial Intelligence and Robotics Laboratory and is actively involved in national and international collaborations, including with Georgia Tech, University of Pennsylvania, and University of South Florida. She also contributes to professional communities such as IEEE, AAAI, RoboCup, and EUCog.

Armita Törngren Golkarمشاهده پروفایل

دانشیار

• Emotion Regulation
• Emotional Learning
• Fear Conditioning
• +۳ مورد دیگر

Armita Törngren Golkar is an Associate Professor at Stockholm University's Department of Psychology and an affiliated researcher at Karolinska Institutet. Her work focuses on emotion regulation and learning mechanisms, particularly fear and safety learning through direct experience and social transmission. PhD in Psychology (2013) from Karolinska Institutet Postdoctoral Fellow at Karolinska Institutets emotionlab (2013-2015) Swedish Research Council International Postdoctoral Grant (2015-2018) Research Interests : Dr. Golkar's lab investigates how aversive experiences shape emotional learning through behavioral, psychophysiological, and fMRI approaches. Key areas include social threat transmission, fear extinction mechanisms, and neurodevelopmental factors in anxiety disorders. Her work bridges experimental psychology with clinical applications, exploring both individual and intergroup dynamics in emotional processing. Scientific Achievements : Recipient of the Wallenberg Academy Fellow grant (2021), Outstanding Young Researcher in Psychology award (2015), and Best Thesis of the Year recognition (2013). Her publications in journals like PNAS and Psychological Science demonstrate cross-disciplinary impact in cognitive neuroscience and social psychology.

Yu-Ping Chenمشاهده پروفایل

دانشیار

• Global work experiences
• Cross-cultural management
• Interpersonal relationships at work
• +۳ مورد دیگر

Yu-Ping Chen is an Associate Professor of Management at Concordia University's John Molson School of Business, holding the Royal Bank of Canada (RBC) Professorship in Work Motivation. He also serves as the Director of the International Business (IBUS) Program and IBUS Co-Op Program. Dr. Chen joined the John Molson School of Business in 2012 after completing his PhD at the Sheldon B. Lubar School of Business, University of Wisconsin-Milwaukee. Dr. Chen's educational background includes: PhD in Management Science from the University of Wisconsin-Milwaukee MA in Human Resource and Industrial Relations from the University of Minnesota-Twin Cities BBA in International Business from National Taiwan University Dr. Chen's research focuses on global work experiences , including corporate expatriates, self-initiated expatriates, and international business travelers. His work explores cross-cultural management , interpersonal relationships at work , work motivation , and work-family issues . More recently, he has expanded his research to examine employees' reactions towards HR algorithmic management . His interdisciplinary approach bridges organizational behavior, international business, and human resource management to address contemporary workplace challenges in our increasingly globalized world. His extensive publication record demonstrates a consistent focus on international work experiences and cross-cultural dynamics. Dr. Chen's research often examines the interplay between individual characteristics, organizational contexts, and cultural environments. His work frequently appears in top-tier journals across organizational behavior, international business, and human resource management fields, reflecting the interdisciplinary nature of his research interests. Dr. Chen has received notable recognition for his scholarly contributions: Selected as the highly commented paper at the Journal of Global Mobility for the 2019 Emerald Literati Award for Excellence Finalist for the Emerald Best International Symposium Award (2019) Finalist for the best paper award at the Israel Organizational Behavior Conference (2011) As an active mentor, Dr. Chen supervises both Master's (Management MSc) and doctoral students (Business Administration PhD). His teaching portfolio includes courses on Compensation and Benefits Management, Staffing and Career Management, Motivation, Evaluation, Compensation, and Rewards, as well as seminars in Organizational Behavior. Dr. Chen serves as an associate editor at the Journal of Global Mobility, demonstrating his influence in the field of international business and global mobility research.

• Leadership
• Organizational Behavior
• Workplace Dynamics
• +۳ مورد دیگر

Dr. Saima Ahmad is a Senior Lecturer at RMIT University's School of Management, focusing on cultivating sustainable work environments and investigating leadership's impact on individual well-being. With a PhD in Management from Monash University, her research spans organizational behavior, workplace dynamics, and leadership ethics, addressing critical issues such as bullying, resilience, and digital disruption. She coordinates courses in the RMIT MBA program and serves on editorial boards for the European Management Journal and PLoS One . Education: PhD in Management from Monash University Her research emphasizes positive leadership styles and their influence on employee engagement and organizational sustainability. Recent work explores servant leadership in the construction industry and the role of green human resource management in fostering environmental citizenship. She has pioneered studies on workplace bullying and its mitigation through ethical leadership frameworks. Her scientific awards include the 2022 RMIT GSBL Dean’s Merit Award for HDR Leadership Excellence for her contributions as HDR Coordinator (2022-2024), where she enhanced PhD completion rates and student support systems. She actively supervises Masters and PhD research candidates, focusing on leadership and organizational behavior.

LIANG Zhenkaiمشاهده پروفایل

دانشیار

• system and software security
• Web security
• mobile security
• +۶ مورد دیگر

Dr. LIANG Zhenkai is an Associate Professor and Chairman of the Department of Computer Science at the National University of Singapore's School of Computing. He also serves as the Lead Principal Investigator for the National Cybersecurity R&D Lab (NCL). With extensive experience in academic leadership and cybersecurity research, Dr. Liang has established himself as a prominent figure in the field of system and software security. Dr. Liang received his Ph.D. in Computer Science from Stony Brook University in 2006 and his B.S. degrees in Computer Science and Economics from Peking University in 1999. His dual background provides a unique perspective on security challenges that bridges technical expertise with economic understanding. Dr. Liang's research focuses on system and software security , with particular emphasis on security in emerging platforms including Web, mobile, and Internet-of-Things (IoT) systems. His specific research interests include program analysis, Web and IoT system security, and virtualization. As the leader of the Curiosity Research Group, his team pursues missions centered around "Understanding systems (理解系统), abstracting knowledge (提炼知识), and connecting facts (参悟规律)". This philosophical approach to security research has yielded numerous significant contributions to the field. Dr. Liang's recent publications demonstrate a strong evolution from fundamental security mechanisms to sophisticated solutions addressing AI security, blockchain, and advanced vulnerability analysis. His work increasingly integrates machine learning techniques with traditional security approaches, focusing on developing robust defenses against sophisticated attacks while maintaining system usability. The trend shows a progression toward addressing contemporary challenges in large language models, secure system observability, and vulnerability propagation analysis. Dr. Liang has received numerous prestigious awards recognizing his research excellence: Outstanding Paper Award at ACSAC (2003) Best Paper Award at USENIX Security Symposium (2007) ACM SIGSOFT Distinguished Paper at ESEC-FSE (2009) Best Paper Award at W2SP Workshop (2014) Annual Teaching Excellence Award at NUS (2014, 2015) As an educator, Dr. Liang has taught various undergraduate and graduate courses including CS3235 Computer Security, CS5231 Systems Security, and CS5321 Network Security. His teaching philosophy, which he has published on in "Tool, Technique, and Tao in Computer Security Education," emphasizes both technical expertise and philosophical understanding of security principles. He has successfully mentored numerous students and researchers in the cybersecurity field. Dr. Liang leads the Curiosity Research Group, which actively seeks curious minds to join their exploration of security systems. The group maintains strong connections with industry and government cybersecurity initiatives, particularly through the National Cybersecurity R&D Lab (NCL). Their research environment encourages innovative thinking with the requirement that "Curiosity is required, while mentality for repairing things (such as bicycles) is a plus."

Timo Hönigمشاهده پروفایل

استاد

• Operating Systems
• System Software
• Energy-Aware Computing Systems
• +۳ مورد دیگر

Prof. Timo Hönig is a Professor leading the Bochum Operating Systems and System Software (BOSS) Research Group at Ruhr-Universität Bochum (RUB). Previously, he served as an Assistant Professor at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), where he was part of Department of Computer Science 4. His research focuses on Energy-Aware Computing Systems, Operating Systems, and System Software design with applications in embedded and real-time systems. Key research projects include the DFG Collaborative Research Center/TR 89 (Invasive Computing) and the DFG SPP 1914 (Latency- and Resilience-Aware Networking). He has received notable awards such as the SOSP SRC Gold Medal (2019) and the ISORC Best Paper Award (2017). He actively contributes to conferences like ACM EuroSys and USENIX ATC, and has led initiatives like the Albatross runtime system for energy-efficient HPC clusters. Teaching includes courses on Energy-Aware Computing and Operating Systems Technology. His work bridges theoretical system software design with practical applications in energy efficiency and heterogeneous architectures. The BOSS group explores future system software challenges for many-core and NVM-based systems.

• Economic Theory
• Social Networks
• Trust and Cooperation
• +۱۲ مورد دیگر

Itay P. Fainmesser is an Associate Professor at the Johns Hopkins Carey Business School and holds a courtesy appointment in the Department of Economics at Johns Hopkins University. His research focuses on economic theory, social networks, trust, cooperation, and digital privacy, with significant contributions to understanding consumer profiling, influencer marketing, and data governance in the digital economy. His primary research interests include Economic Theory , Social Networks , Trust and Cooperation , Influence , Social Media , and Privacy . He explores how digital platforms collect and use consumer data, the welfare implications of data misuse, and the design of regulatory policies to protect users. His work bridges economics, business strategy, and public policy, with applications in health data, market design, and AI ethics. The recent articles highlight a strong trend in digital privacy , information design , and market regulation . His research analyzes how companies use consumer data for profiling and pricing, the societal costs of data breaches, and the role of government intervention. Themes include consumer welfare, regulatory design, ethical data use, and the impact of AI on market dynamics. Many papers involve collaborative work with Andrea Galeotti and Ruslan Momot, reflecting a consistent interdisciplinary approach. 2025 Johns Hopkins Discovery Award for Patient-Centered Biospecimen Market Design Finalist, MSOM Service SIG Best Paper Award 2023 for Digital Privacy Fainmesser advises PhD and master’s students, including Xudong Zheng, and collaborates on federally and institutionally funded research projects. He is actively involved in academic service, co-organizing the Conference on Social and Political Economics and engaging with policymakers and the public through media outlets, podcasts, and public talks. His work has implications for antitrust authorities, digital regulators, and health policy makers. He is a key participant in research teams focusing on data markets, privacy, and health data policy, often collaborating with scholars across disciplines at Johns Hopkins and other institutions. His labs and research groups emphasize theoretical modeling, policy analysis, and real-world applications in digital markets and public health.

Yuanchang Xieمشاهده پروفایل

استاد

• Transportation Engineering
• Traffic safety
• Traffic operations and simulation
• +۵ مورد دیگر

Yuanchang Xie serves as Professor in Civil and Environmental Engineering at UMass Lowell's Francis College of Engineering, where he leads research in the Center for Smart Cyber-Physical Systems. His work integrates computational methods with transportation infrastructure analysis, focusing on safety-critical applications through federal partnerships. Dr. Xie earned his Ph.D. in Civil Engineering from Texas A&M University (2007), preceded by M.S. and B.S. degrees in Transportation Engineering from Southeast University, China (2003, 2000). His academic foundation supports interdisciplinary research bridging civil engineering and cyber-physical systems. Research centers on traffic safety, intelligent transportation systems, and logistics optimization. He pioneers AI-driven approaches for crash prediction, connected vehicle operations, and infrastructure monitoring, emphasizing real-world implementation through partnerships with USDOT and state agencies. Current work explores multimodal data fusion for safety analytics in mixed-autonomy environments. Recent publications (2024-2025) reveal accelerating focus on deep learning applications: crosswalk detection via drone imagery, trajectory prediction in mixed traffic, and real-time work zone safety monitoring. This evolution demonstrates strategic alignment with emerging transportation technologies while maintaining core safety objectives. No scientific awards were explicitly documented in source materials. Dr. Xie has secured continuous funding as Principal Investigator through NSF, USDOT, DOE, and USDA programs. Key projects include Connected Vehicles: Toward the Understanding of "Firm Science" (NSF), Center of Multi-Scale Sensing Technologies (USDOT), and nuclear evacuation modeling for rural communities (USDA). His grants consistently address infrastructure resilience through cyber-physical integration. He directs research activities within UMass Lowell's Center for Smart Cyber-Physical Systems, which develops sensor networks and computational models for transportation infrastructure monitoring. The center's work on drone-based inspection systems and emergency response logistics demonstrates practical applications of his theoretical frameworks.

• Technology Law
• Privacy Law
• Criminology
• +۳ مورد دیگر

Lisa Collingwood is an Associate Professor of Law at Northeastern University London since 2023, serving as Course Leader for Law of Tort and Tort Extensions and Developments. She contributes to Equity and Trusts teaching and supervises dissertations. Her research focuses on technology law and privacy law, with notable publications in peer-reviewed journals like Information & Communications Technology Law. She co-edits the post-SLSA edition of this journal and holds roles as Senior Fellow of the Higher Education Academy, affiliate member of Boston Law School, and Deputy Institutional Lead for AdvanceHE Fellowships. Education includes a PhD (Kingston University, 2014), MA in Legal Studies (2007), Graduate Diploma in Law (2005), and BSc in Economics with Maths (1986). Prior to Northeastern, she was Senior Lecturer at Kingston University (2013–2023), teaching across tort law, criminal law, and technology law modules. Research interests emphasize regulatory challenges in technology, privacy paradoxes, and socio-legal impacts of autonomous systems. Her work addresses topics like liability in smart devices, online anonymity, and ethical AI frameworks. She has presented at global conferences including the Socio-Legal Studies Association and Winchester TRILCon conferences. As External Examiner in Law at the University of Salford and with editorial roles, she actively shapes legal education and scholarship. Her interdisciplinary focus bridges technical innovation and legal frameworks, contributing to debates on global technology governance.