جست‌وجوی استاد و پژوهشگر

• Network Security
• Cybersecurity
• Cloud Computing Security
• +۴ مورد دیگر

Martine Bellaïche is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. With a B.Sc., M.Sc., and Ph.D. from Montreal, she has established herself as a leading researcher in network security and cybersecurity. She is affiliated with the Mobile Computing and Networking Research Laboratory (LARIM), where she contributes to cutting-edge research in communications systems, networks, and algorithms. Dr. Bellaïche's research spans multiple critical areas of modern cybersecurity, with particular focus on network security, prevention and detection of attacks, performance evaluation of defense systems, and defense against Denial of Service (DDoS) attacks. Her work extends to specialized domains including sensor network security, vehicular network security, cloud computing security, and Internet of Things security. Her research approach often combines theoretical foundations with practical applications, addressing real-world security challenges across various technological domains. Analysis of her recent publications reveals a strong trend toward AI-driven security solutions, particularly using deep learning and federated learning approaches for intrusion detection in IoT environments. Her work increasingly addresses emerging security challenges in blockchain technology, metaverse applications, and industrial IoT systems, demonstrating adaptability to evolving technological landscapes while maintaining focus on fundamental security principles. Supervised 5 PhD students to completion, including Alfalqi (2022), Alghamdi (2022), Abusitta (2018), Halabi (2018), and Benbrahim (2016) Mentored 6 Master's students, with research spanning DDoS detection, VANET security, and graph coloring algorithms Active participant in multiple research grants, including Discovery Grants from Polytechnique Montréal Dr. Bellaïche teaches several foundational computer science courses including procedural programming, object-oriented programming, microcomputer architecture, and data structures and algorithms, bridging theoretical knowledge with practical security applications in her teaching.

Gabriela Nicolescuمشاهده پروفایل

استاد

• Cybersecurity for Avionics
• Security by Design for Cyber-Physical Systems
• Advanced Programming Models for Avionic Multi and Many-Core Systems
• +۱۱ مورد دیگر

Gabriela Nicolescu is a Professor at Polytechnique Montréal , affiliated with the Department of Computer Engineering and Software Engineering and the LAMA-WeST (Web, Semantics and Text) research group. Her work focuses on design methodologies , programming , and security for advanced systems integrating 3D SoCs , optical networks , and heterogeneous technologies . Education: B.Sc. and M.Sc., Politehnica Bucharest Ph.D., Institut National Polytechnique de Grenoble (2002), awarded Best Thesis in Microelectronics Research Interests include cybersecurity for avionics , security by design for cyber-physical systems , advanced programming models for multi-core systems , and modeling/simulation of heterogeneous systems . She has contributed to fields like optical networks on chip , real-time embedded systems , and edge computing security . Recent Publications highlight her leadership in all-optical neural networks , formal verification , and security for avionic systems . Her work spans machine learning-driven intrusion detection , photonic integrated circuits , and ontology-based cybersecurity frameworks . Scientific Awards: Best Thesis in Microelectronics, Institut National Polytechnique de Grenoble (2002) Student Supervision encompasses doctoral and master’s theses in areas such as multi-core RTOS , security in autonomous systems , AI-based penetration testing , and performance optimization in avionics . Current advisees include Felipe Magalhaes , Julien Carayol , and Kacem Khaled , while completed supervision includes A. S. Shahnejat Bushehri and Rami Zrelli . She is actively involved in collaborative research projects addressing national cybersecurity priorities and safer aircraft design , as highlighted in media outlets like The Globe and Mail and Science-Presse .

Eun G. Parkمشاهده پروفایل

دانشیار

• Cloud Computing Trust
• Enterprise Content Management
• Ontology Modeling
• +۵ مورد دیگر

Eun G. Park is an Associate Professor at McGill University's School of Information Studies. She holds a PhD in Information Studies from UCLA, an MBA from the University of Pittsburgh, an MS in Library and Information Science from the University of Illinois, and a BA in English Literature from Pusan National University. Her research focuses on cloud computing trust, enterprise content management (ECM), ontology modeling, and organizational trust dynamics. She has advised four graduate students and contributes to interdisciplinary projects in digital humanities and cultural heritage preservation. Her research explores the intersection of technology and trust in organizational and governmental contexts, with notable work on open government data analytics and privacy-preserving cloud solutions. She has collaborated on data rescue initiatives for historical climate records and developed ontology models for cultural heritage collections. Park teaches courses in ECM systems, digital preservation, and electronic records management. Her work bridges technical and policy domains, addressing challenges in legal compliance for sensitive data protection and ICT-driven trust enhancement. She participates in international conferences on digital preservation (InterPARES Trust) and contributes to research labs including the Accessible Computing Technology Research Group and Data Mining & Security Lab. Notable collaborations include the DRAW project (historical climate data digitization) and SafePath (privacy-preserving transportation data publishing). Her research has been applied to policy evaluation in Ghana's e-government initiatives and economic impact analyses of digital repositories.

• Microbiome Therapeutics
• Antibiotic Resistance
• Metabolomics
• +۳ مورد دیگر

Dr. Victoria Horrocks is a Research Associate at Imperial College London's Department of Life Sciences (Faculty of Natural Sciences). Her work focuses on microbiome dynamics, antibiotic resistance, and metabolomics, particularly in vaginal and gut ecosystems. She investigates how antibiotics reshape microbial communities and explores therapeutic strategies to counteract negative impacts. Her research employs advanced techniques like NMR metabolomics to study bacterial interactions and symbiosis. Her publications highlight antibiotic-driven shifts in microbial niches, nutrient competition, and the emergence of resistant pathogens. She also develops antimicrobial therapeutics targeting bacterial and mycobacterial pathogens. Dr. Horrocks is affiliated with the Sir Alexander Fleming Building and collaborates across disciplines to advance microbiome-related research. While no formal awards or grants are explicitly listed, her contributions to understanding microbiota ecology and antibiotic resistance mechanisms are significant. Her work aims to bridge fundamental research with clinical applications in microbial therapy and infection control.

Yisong Yueمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Neurosymbolic AI
• +۶ مورد دیگر

Yisong Yue is a Professor of Computing and Mathematical Sciences at the California Institute of Technology (Caltech). He holds a B.S. from the University of Illinois (2005) and a Ph.D. from Cornell University (2010). His research focuses on machine learning, neurosymbolic AI, autonomous systems, and applications in robotics, science, and healthcare. Key affiliations include advisory roles at Asari AI and CaineX, and leadership roles in ICLR (Board Member, 2024–present; General Chair, ICLR 2025). Yisong's work bridges theory and practice, emphasizing deployable AI solutions. Notable contributions include Neurosymbolic Programming, AI-driven protein optimization, and safety-critical control systems. His research has led to impactful applications in robotics, medical coding automation, and molecular engineering. He has advised numerous students, including Jennifer Sun (Ph.D., Cornell), Yujia Huang (Citadel Securities), and Guanya Shi (CMU faculty). Awards include the Best Paper Award at ICRA 2020 and Okawa Foundation Grant recognition. His lab explores frontiers in adaptive experiment design and human-AI collaboration. Yisong has collaborated with institutions like NASA (MLNav for Martian navigation) and Disney Research (behavior modeling). His work appears in top venues like NeurIPS, ICML, and Science Robotics.

Steve Kingمشاهده پروفایل

استاد

• Formal Methods
• System Specification
• Safety-Critical Systems
• +۳ مورد دیگر

Prof Steve King is a Professor (Teaching and Scholarship) at the University of York's Department of Computer Science, part of the Faculty of Sciences. He has held roles including Associate PVC for Teaching, Learning and Students, and has been involved in academic leadership positions such as Deputy Head of Department and Associate Dean. His research focuses on formal methods for system specification and development, with applications to safety-critical systems. King holds degrees from Oxford University: MA in Maths, MSc in Computation, and DPhil in Computation. He has contributed to over 30 publications in areas like formal verification, model transformation, and software safety assurance. His work emphasizes practical applications of formal methods in industry, particularly in ensuring safety-critical systems' reliability. Prof King has also served as an external examiner for multiple PhD theses, demonstrating his engagement in academic governance and quality assurance. Key professional roles include membership in the Standing Committee on Assessment and QAA HE Review activities. His research interests span formal specification techniques, model-driven engineering, and the application of rigorous methodologies to complex software systems. Recent publications highlight contributions to test data generation, UML model simulation, and compliance notations for concurrent systems.

• Privacy Engineering
• Privacy-by-Design
• Constructive Alignment
• +۳ مورد دیگر

Shan Chen is a Lecturer (Teaching and Leadership) at the School of Computing, Macquarie University , affiliated with the Future Communications Research Centre and the Ethics and Agency Research Centre . Their work bridges privacy engineering principles with information systems design, focusing on machine learning applications in cybersecurity, educational technology, and privacy-by-design frameworks. Research Interests : Privacy Engineering and Privacy-by-Design methodologies Constructive Alignment in educational systems Cybersecurity solutions leveraging machine learning Data analysis for crowd anomaly detection Information systems for expansive learning and mobile collaboration Ontology-driven privacy policy enforcement Awards : Winner of the Faculty of Science and Engineering Award for Inter-School Collaboration (2023) Research Contributions : Recent work includes advancing crowd anomaly detection techniques (2024), evaluating machine learning for cybersecurity threats (2020), and designing privacy-aware systems for social networks (2010–2013). Their interdisciplinary approach spans disaster alert systems, cloud ERP implementations, and privacy requirements engineering. Labs/Teams : Active contributor to the Future Communications Research Centre (exploring communication technologies) and Ethics and Agency Research Centre (ethical frameworks for information systems).

• Applied Microeconomics
• Agricultural Economics
• Risk Management
• +۶ مورد دیگر

Tor N. Tolhurst is an Assistant Professor in the Department of Agricultural, Food, and Resource Economics at Michigan State University (MSU), affiliated with the College of Agriculture & Natural Resources. He holds a PhD from the University of California, Davis (2020). His research focuses on applied microeconomics, particularly tail events—rare but impactful occurrences affecting agricultural systems. Key areas include risk analysis, resilience strategies, and policy implications of extreme weather and market disruptions. His work bridges theoretical econometrics with practical applications in agriculture and environmental policy. Education: PhD in Agricultural Economics, University of California, Davis (2020) Research Interests: Quantitative analysis of rare events (e.g., extreme weather, market shocks) Risk management strategies in agricultural systems Economic impacts of technological adoption (e.g., genetically engineered seeds) Pesticide regulation and environmental justice Market bubbles and speculative behavior in commodities/wine Recent Work Trends: Recent publications (2020–2025) emphasize econometric methods applied to agricultural policy, pesticide regulation, and climate resilience. His 2025 studies on Canadian crop yields and NFL pass rates highlight interdisciplinary approaches. California-focused analyses (pesticide regulations, commodity markets) reflect regional policy relevance. Advising & Grants: No formal advisee list is provided, but his role as faculty implies graduate student mentorship. No grant details are explicitly listed in the text. Affiliations: Active in MSU’s Department of Agricultural, Food, and Resource Economics, contributing to academic and extension programs.

• Teaching Chinese as a Second Language
• Language Teaching Materials Development
• Online Language Education
• +۲ مورد دیگر

Chao Li is a Lecturer of Chinese at the Georgia Institute of Technology's School of Modern Languages, part of the Ivan Allen College of Liberal Arts. He has been with Georgia Tech since 2001, focusing on teaching Chinese language at all proficiency levels and co-directing the Chinese Language for Business and Technology (LBAT) Program since 2006. His expertise includes developing online Chinese language courses, creating multimedia content, and compiling grammatical notes for effective language learning materials. Chao Li holds a Master of Arts in International Relations from Beijing Institute of Foreign Affairs and a Bachelor of Arts in Economics and Chinese from Yunnan University, China. He is a key figure in advancing online Chinese language education at Georgia Tech, emphasizing the integration of technology into language pedagogy. His work bridges language instruction with business and technology contexts, reflecting his commitment to practical, industry-relevant language training. His professional contributions include pioneering efforts in online course development, particularly in designing interactive and adaptive learning environments. While no formal awards are listed, his role in shaping Georgia Tech's Chinese language program highlights his significant impact on language education innovation. Chao Li’s teaching philosophy centers on student engagement through culturally immersive and technologically enhanced methodologies.

Aakash Tyagiمشاهده پروفایل

استاد

• Hardware Verification
• Secure Computing
• High Performance Computing Architectures
• +۳ مورد دیگر

Aakash Tyagi is a Professor of Practice in Computer Science & Engineering at Texas A&M University, affiliated with the Multidisciplinary Engineering program. His roles include academic leadership, teaching, and industry collaboration. He holds a Ph.D. in Computer Engineering from the University of Louisiana (1993), an M.S. in Electrical and Computer Engineering (1989), and a B.S. in Electronics & Communication from Kamla Nehru Institute of Technology, India (1987). His research focuses on hardware verification, secure computing, and high-performance computing architectures. He has over two decades of industry experience at Intel, contributing to CPU design and managing projects like the Knights Landing processor. Teaching interests include computer architecture, data structures, and project management. His publications emphasize innovative applications of machine learning in hardware verification, formal methods for processor security, and optimization techniques for EDA tools. Notable works include HyPFuzz (2023), MinBLoG (2024), and Spec2Assertion (2025), advancing automated verification and vulnerability detection. Tyagi has received over 15 teaching and service awards from Texas A&M, including multiple Distinguished Achievement Awards (2015–2024) and grants for instructional innovation. He actively bridges academia and industry through research partnerships and mentorship.

Judson Brewerمشاهده پروفایل

استاد

• Behavior Change
• Mindfulness
• Addiction
• +۳ مورد دیگر

Dr. Judson Brewer is a Professor of Behavioral and Social Sciences and an Associate Professor of Psychiatry and Human Behavior at Brown University. He serves as Director of Research and Innovation at Brown University’s Mindfulness Center. His work focuses on habit formation, addiction, and behavior change science, integrating mindfulness with neuroscience to develop clinical tools and digital therapeutics. Education: B.A. in Chemistry from Princeton University M.D./Ph.D. from Washington University in St. Louis (thesis: molecular mechanisms of stress hormone regulation of the immune system) Psychiatry residency at Yale University Research Interests: Dr. Brewer’s research explores how mindfulness training disrupts addictive processes by targeting neural reward pathways. Key areas include anxiety management, emotional eating, and smoking cessation interventions. He employs EEG neurofeedback, fMRI, and experience sampling to bridge basic neuroscience with real-world applications, emphasizing mobile health (mHealth) solutions for scalable behavior change. Recent Articles Trends: His latest work focuses on app-based interventions for healthcare professional burnout, feasibility trials in vulnerable populations (e.g., low-income HIV patients), and socio-ecological barriers to dementia prevention. He also validates mindfulness teaching criteria and investigates wearable technology for real-time habit disruption. Scientific Awards: While no formal awards are listed, Dr. Brewer’s TED talk on habit change was the 4th most viewed in 2016 with over 20 million views. His work has been featured on 60 Minutes , The New York Times , and Forbes . Advising and Grants: Dr. Brewer’s clinical trials and programs suggest active grant-funded research, though specific grants or advisees are not listed. His interventions target smoking cessation, anxiety, and eating behaviors, often involving interdisciplinary teams at Brown’s Mindfulness Center. Labs and Teams: He leads the Mindfulness Center’s research team and collaborates globally through the ENIGMA-Meditation consortium. His lab develops app-based programs, such as Craving to Quit (C2Q), and employs innovative methods like sensor reduction in EEG devices to improve neurofeedback applications.

• Machine Learning
• Cloud Computing
• Internet of Things (IoT)
• +۷ مورد دیگر

Dr. Mohamed E. ElAraby is a faculty member at Beni-Suef University's Faculty of Computer and Information, Egypt, with prior affiliation at Mansoura University. His academic work centers on cutting-edge technologies in computer science, particularly machine learning, cloud computing, and IoT, applied to healthcare and information systems. His research focuses on developing intelligent systems for real-world challenges, especially in pandemic prediction and data retrieval. Using advanced machine learning models and cloud-based architectures, he has pioneered innovative solutions such as IoT-driven COVID-19 prediction frameworks and elastic web crawlers for multimedia and facial data retrieval. The recent publications demonstrate a strong trend in leveraging internet-sourced data and cloud infrastructure to build robust, scalable health informatics and intelligent systems. His work bridges theoretical AI advancements with practical applications in public health and information access. Scientific Sponsorships: GlaxoSmithKline M.J. Murdock Charitable Trust Dr. ElAraby has secured research funding from prominent organizations, indicating strong industry-academia collaboration. While no formal students are listed, his publication record suggests active mentorship and research leadership. He contributes significantly to journals like Biomedical Signal Processing and Control and Multimedia Tools and Applications , reflecting high academic engagement. His work is supported by advanced computing labs focused on AI, IoT, and cloud systems, though specific lab names are not mentioned. These teams likely focus on developing next-generation intelligent systems for healthcare and data science applications.

Alfredo Perezمشاهده پروفایل

دانشیار

• Computer Science
• Artificial Intelligence
• Cybersecurity
• +۴ مورد دیگر

Alfredo Perez, Ph.D., is an Associate Professor and Graduate Program Chair for MS CS Education in the College of Information Science & Technology at the University of Nebraska at Omaha. He holds a doctorate and M.Sc. in Computer Science from the University of South Florida (2011, 2009) and a B.Sc. in Systems Engineering from Universidad del Norte, Barranquilla (2006). Education: Ph.D., Computer Science & Engineering, University of South Florida (2011) M.Sc., Computer Science & Engineering, University of South Florida (2009) B.Sc., Systems Engineering, Universidad del Norte, Barranquilla (2006) Dr. Perez's research focuses on privacy, mobile/ubiquitous computing, and computer science education. His recent work explores blockchain security, IoT privacy frameworks, and machine learning for malware detection. He also investigates formal modeling techniques for secure systems and wearables' facial privacy solutions. His publications reveal trends in privacy-preserving IoT architectures , blockchain applications , machine learning security , and formal verification methods . Research spans from technical implementations to societal impacts of privacy technologies. Scientific Recognition: IEEE Senior Member Member, U.S. National Academy of Inventors Dr. Perez has served on technical committees for journals/conferences like Elsevier Computer Communications and reviewed grants for the National Science Foundation. His teaching expertise covers computer programming, machine learning, and CS teacher education.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Renan Guarese is a Postdoctoral Researcher in Human-Computer Interaction at KTH Royal Institute of Technology , Sweden, focusing on AR/VR applications for pharmaceutical manufacturing through the SMART Industry project with AstraZeneca. He holds a Ph.D. from RMIT (Australia) and M.Sc. from UFRGS (Brazil), with expertise in assistive technologies, situated data visualization, and accessibility. His roles include teaching assistant for courses like Advanced Graphics and Multimodal Interaction, and M.Sc. thesis supervision. He has over 10 years of academic experience across institutions like RMIT, Halmstad University, and UFRGS, with projects ranging from assistive AR for visually impaired individuals to educational AR platforms. Research Interests: Human-Computer Interaction (HCI), Augmented and Virtual Reality (AR/VR), assistive technologies, situated visualization, and accessibility design. He specializes in applications like sonified AR interfaces, industrial training, and empathy-building experiences for marginalized users. Awards: Best Doctoral Thesis (SVR 2024) Finalist, Cross-Reality Systems Competition (IEEE ISMAR 2023) Nomination for Best Paper Award (IEEE VR 2023) Latin American PhD Scholarship (ATN grant) Advising & Grants: Supervising 3 current M.Sc. theses (2025) and co-authoring grants focused on conversational AI in industrial training and predictive maintenance. His work bridges HCI with real-world industry needs, emphasizing accessibility and immersive solutions. Labs/Teams: Active in KTH's Digital Futures initiative and collaborates with AstraZeneca on pharmaceutical AR/VR applications. Engages in international conferences like IEEE VR, ISMAR, and CHI through peer reviewing, workshop organizing, and panel participation.

Risto Hotulainenمشاهده پروفایل

استاد

• Educational Sciences
• Educational Assessment
• Adolescent Learning
• +۵ مورد دیگر

Risto Hotulainen is a Professor at the University of Helsinki, affiliated with the Department of Education Leadership in Educational Contexts and the LeadEd Centre for Educational Assessment. His work focuses on educational assessment, adolescent learning, school transitions, and special educational needs. He has led major projects like the KAARO initiative to enhance assessment literacy and the RELE study on adolescent learning trajectories. Key research interests include digitalization in education, student well-being, and policy impacts. Over 150 publications span topics like technology-enhanced feedback, pandemic education, and equity in special education. He has supervised doctoral students and actively engages in academic activities, including conferences and media discussions on education reform. Notable contributions include reports on school attendance, immigrant student support, and policy frameworks for educational equity.