جست‌وجوی استاد و پژوهشگر

Reyhaneh Safavi-Naeiniمشاهده پروفایل

استاد

• Cryptography
• Quantum-safe cryptography
• Information theoretic cryptography
• +۴ مورد دیگر

Dr. Reyhaneh Safavi-Naeini is a Professor in the Department of Computer Science at the University of Calgary, where she also serves as Assistant Head for Graduate Scholarships and Awards. She holds the NSERC/TELUS Industrial Research Chair in Information Security and is the Alberta Innovates Strategic Chair in Information Security. She co-founded the Institute for Security, Privacy and Information Assurance (SPIA) in 2009, leading it until 2019. Her academic journey includes a PhD in Electrical Engineering from the University of Waterloo (1978) and prior roles as a Professor and Director at the University of Wollongong, Australia. She has over 400 peer-reviewed publications and led major industry collaborations in Canada and Australia. Her research focuses on cryptography, information security, and privacy, emphasizing quantum-safe cryptography, information-theoretic security, network security, cloud security, and distributed ledger technologies. She has pioneered work on secure communication protocols, privacy-preserving systems, and cryptographic primitives resilient to modern and quantum threats. Key contributions include protocols for distance-bounding, secure key agreement, and privacy-enhanced authentication. Dr. Safavi-Naeini has received several accolades, including the Japan Telecom System Technology Award (2019), IEEE Senior Member distinction (2014), and multiple best paper awards. She serves on editorial boards for journals like IET Information Security and ACM Computing Surveys, and has chaired major conferences such as Privacy, Security and Trust (PST 2017) and Financial Cryptography 2014. She collaborates extensively with industry partners like Telus to advance applied security research. Her academic leadership includes directing research institutes, shaping university strategic initiatives like Human Dynamics in a Changing World (2015–2021), and teaching courses such as Information Theory and Security. Her work bridges theoretical foundations with practical applications, addressing real-world challenges in securing digital systems and privacy-sensitive technologies.

Jenny Zhouمشاهده پروفایل

مدرس ارشد

• Indoor Environmental Quality
• Life Cycle Analysis
• Climate Change Impacts
• +۶ مورد دیگر

Dr. Jenny Zhou is a Senior Lecturer in Civil and Environmental Engineering at Monash University, affiliated with the Monash Energy Institute and Monash Art, Design, and Architecture. She holds a PhD from Nanyang Technological University (NTU) and conducted postdoctoral research at the Berkeley Education Alliance for Research in Singapore (BEARS) and the University of Melbourne's Faculty of Architecture, Building, and Planning. Her research focuses on occupant-centric and resource-responsive built environments, addressing interactions between buildings, humans, and the natural environment. Key areas include indoor environmental quality, lifecycle analysis, and sustainable urban infrastructure. Education: B.Eng and M.Eng (Environmental Engineering, Harbin Institute of Technology); M.Sc (Human Computer Interaction, NTU); PhD (Environmental Engineering, NTU). Research Interests: Indoor air quality, climate change impacts on buildings, wireless sensing networks, energy-efficient building standards (e.g., Passivhaus), bioaerosol fate, and renewable energy integration. She leads projects such as the 'Improvement of School Indoor Air Quality' and contributes to initiatives like the Building 4.0 CRC. Scientific Recognition: Recipient of the Green Talents Award (Germany) and a fellowship from the Lloyd's Register Foundation. Collaborates internationally via the IEA EBC Annex 79 (Occupant-Centric Building Design) and other networks. Teaching: Courses include ENE2021 (Energy and the Environment) and ENE3031 (Building Sustainability). Supervises PhD students exploring interdisciplinary topics in sustainable built environments. Labs/Teams: Leads the Nature, Urban, and Human (NUH) Lab, advancing data-driven research in building performance and environmental health.

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.

Mohammad Naser Sabet Jahromiمشاهده پروفایل

استادیار

• Explainable Artificial Intelligence
• Biometrics
• Machine Learning
• +۴ مورد دیگر

Mohammad Naser Sabet Jahromi is an Assistant Professor at the Department of Architecture, Design and Media Technology, Aalborg University, Denmark. He is affiliated with the Visual Analysis and Perception Centre for AI Ethics, Law and Policy. His research focuses on explainable AI (XAI), biometrics, machine learning, and ethical AI applications in legal and medical domains. He actively participates in interdisciplinary projects like REPAI: Responsible AI for Value Creation (2023-2027), which explores AI ethics, computational discourse analysis, and value-driven AI systems. His educational background is not explicitly detailed in the provided text, but his research trajectory indicates strong expertise in computer science and AI systems. Key research interests include interpretable machine learning models, privacy-preserving biometric systems, and AI applications in asylum adjudication and educational assessment. Recent work emphasizes developing XAI frameworks like SIDU-TXT for NLP, verifying machine unlearning mechanisms, and automating large-classroom assessments. His projects bridge technical AI advancements with societal implications through collaborations with legal and ethical scholars. Notable contributions include datasets evaluating XAI methods in medicine and methodologies for transparent AI decision-making. He has participated in conferences such as ICPR 2024 and JURISIN 2023, showcasing interdisciplinary research impact.

Riccardo Bettatiمشاهده پروفایل

استاد

• Distributed real-time systems
• Scheduling algorithms
• Communication protocols
• +۴ مورد دیگر

Riccardo Bettati is a Professor and Associate Department Head in the Department of Computer Science & Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (1994) and a DipInf. from ETH Zurich. His research focuses on distributed real-time systems, scheduling algorithms, communication protocols, and security, particularly in privacy and anonymity. He directs the Texas A&M University Center for Information Assurance and Security. Education: Ph.D. in Computer Science (UIUC), DipInf. in Computer Science (ETH Zurich). Research Interests: Distributed real-time systems, scheduling, communication security, privacy in networks, and cyber-physical systems. Notable projects include NetCamo, RT-ARM, and VTech. He has received awards like the Chevron Faculty Fellowship (2008-2009) and Best Paper at EuroMicro (2006). Recent publications span cybersecurity, IoT security, and side-channel attack countermeasures. He teaches courses on operating systems, computer systems, and cryptocurrencies. His work emphasizes secure networked systems and resilience against modern threats.

Nitesh Saxenaمشاهده پروفایل

استاد

• Cybersecurity
• Privacy Engineering
• Applied Cryptography
• +۵ مورد دیگر

Nitesh Saxena is a Full Professor of Computer Science & Engineering at Texas A&M University, serving as Associate Director of the Texas A&M Global Cyber Research Institute (GCRI) and 2022-23 Engineering Dean’s Research Fellow. His research focuses on cybersecurity, privacy, applied cryptography, and neuro security, with interdisciplinary approaches bridging computer science, psychology, and criminal justice. He leads the SPIES Lab, exploring security in emerging systems like IoT, AR/VR, and AI. Saxena is a key figure in cybersecurity education, having directed NSF-funded programs such as CyberCorps Scholarship for Service and M.S. cybersecurity initiatives. His work has been supported by NSF, DOD, NSA, Google, and industry partners. Education: Ph.D. (UC Irvine, 2006), M.S. (UC Santa Barbara, 2002), B.S. (IIT Kharagpur, 2000) Research interests emphasize transformative cybersecurity solutions, including privacy-preserving AI, device security, and human factors. Over 20 grants total over $10M, including a 2023 MURI award for neuro security. Awards include the Mark Weiser Best Paper Award (2019) and 2025 Dean’s Excellence Award. He serves on editorial boards for IEEE TIFS and ACM TOPS. Grants include $4.5M NSF Scholarship for Service (2022), $6.2M MURI (2023), and $75K MxD grants (2021, 2023). Advises on workforce development and chairs major conferences like CNS and WiSec. SPIES Lab innovations span secure messaging, biometric authentication, and AR/VR privacy.

Ralph Gonzalesمشاهده پروفایل

استاد

• Implementation Science
• Health Care Value
• Delivery System Re-Design
• +۱۴ مورد دیگر

Ralph Gonzales, MD, MSPH , is Associate Dean for Clinical Innovation and Chief Innovation Officer for UCSF Health at the University of California, San Francisco (UCSF) School of Medicine. He is a leading figure in implementation science, health care value, and antimicrobial stewardship, with a research program that spans clinical informatics, care coordination, and health system redesign. Education: MD (1991) and Residency (1995) from UCSF; MSPH in Preventive Medicine & Biometrics (1997) from University of Colorado Health Sciences Center; completed Diversity, Equity, and Inclusion Champion Training (2019) at UCSF. His research focuses on translating evidence into practice through innovative interventions in antibiotic prescribing, eConsults, telehealth, and care pathway implementation. He has led multiple NIH-funded studies, including the Improving Antibiotic Use in Acute Care Settings and UCSF Learning Health System K12 Career Development Program . His work emphasizes the triple aim of improving quality, outcomes, and reducing costs. Dr. Gonzales’s recent publications (2020–2025) reflect a strong trend in digital health innovation, including EHR-integrated tools for pandemic response, eConsults in genetics and deprescribing, pediatric clinical pathways, and remote monitoring. These works span disciplines such as medical informatics, pediatrics, internal medicine, epidemiology, and health services research , with subfields including clinical decision support, care coordination, antimicrobial stewardship, and health equity. Scientific Awards and Recognition: Principal Investigator on multiple NIH grants, including R01 and K12 awards. Leader in national efforts to combat antimicrobial resistance. Recognized for contributions to implementation science and health system innovation. Advising and Grants: Dr. Gonzales mentors early-career researchers through training programs in implementation science and learning health systems. He has led multidisciplinary teams in community-based trials and health system interventions. His funding history includes significant NIH support for projects focused on antibiotic stewardship, care coordination, and digital health tools. Labs and Teams: He is affiliated with the Center for Health Care Value , UCSF Continuous Process Improvement Site , and the Caring Wisely Initiative . He leads project teams focused on eReferrals, team-based specialty care, and clinical pathway implementation.

Javier Gonzalez-Sanchezمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Software Engineering
• Affective Computing
• +۱۱ مورد دیگر

Javier Gonzalez-Sanchez is an Assistant Professor in the Department of Computer Science and Software Engineering at the College of Engineering, California Polytechnic State University (Cal Poly). His work bridges software engineering and human-computer interaction, focusing on creating intelligent systems capable of understanding and responding to human emotions and cognitive states. His research interests lie at the intersection of affective computing, software engineering, and interactive technologies. He aims to develop adaptive systems that enhance user experiences in education, healthcare, manufacturing, and entertainment by leveraging physiological signals such as brain activity, eye movements, and biometric data. His approach involves using cutting-edge tools including brain-computer interfaces, eye-tracking devices, and virtual/augmented reality platforms. The absence of publication data prevents detailed analysis of article trends; however, his research direction suggests strong interdisciplinary engagement with psychology, education, and health sciences. He actively involves students in hands-on research, blending teaching with innovation. Javier contributes significantly to diversity, equity, and inclusion through participation in programs such as the Learning Aligned Employment Program (LEAP), Engineering Possibilities in College (EPIC), and the Summer Undergraduate Research Program (SURP). He also supports K-12 outreach in partner schools through robotics and computational thinking initiatives funded by the Office of University Diversity and Inclusion. Additionally, he mentors Hispanic undergraduate students pursuing graduate education through the Society of Hispanic Professional Engineers (SHPE). He is involved in grant-funded projects aimed at expanding educational pipelines for underrepresented communities. While specific grants are not listed, his engagement with university diversity grants and outreach programs highlights his commitment to inclusive engineering education. Javier leads or participates in research teams focused on empathetic computing and intelligent tutoring systems, though specific lab names or team structures are not mentioned in the text.

• Networking
• Operating Systems
• Distributed Systems
• +۶ مورد دیگر

Kang Shin is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan's College of Engineering. His research spans multiple domains in computer science and engineering, focusing particularly on automotive security, wireless communications, and distributed systems.

• Human-Robot Interaction
• Explainable Robotics
• Assistive Robotics
• +۵ مورد دیگر

Dr. Maryam Banitalebi Dehkordi is a Senior Lecturer in Robotics and AI at the University of Hertfordshire, UK. She holds a PhD in Perceptual Robotics from Scuola Superiore Sant'Anna (Italy) and a master's in Mechatronics from University Technology Malaysia. Her career spans academia and industry, with roles at institutions like Technical University of Munich and NavVis GmbH, as well as industry projects such as the Innovate UK-funded AgriRobot. Her research focuses on Human-Robot Interaction (HRI) , Explainable Robotics , Assistive Robotics , and autonomous systems . Key projects include DOC (navigation aid for visually impaired individuals) and AgriRobot (precision agricultural robotics). She has expertise in activity recognition via smartphone sensors, navigation systems, and social robotics interfaces. Publications (2012–2025) emphasize explainable AI in robotics, feature selection for activity recognition, and social behavior interpretation. Her work bridges theoretical robotics with real-world applications in healthcare, agriculture, and accessibility. No awards are explicitly listed, but her extensive collaboration network (Italy, Germany, UK) reflects interdisciplinary impact. She advises on robotics projects and has contributed to both academic journals and industry collaborations.

Bronson P. Bullockمشاهده پروفایل

استاد

• Forest Management
• Biometrics
• Silviculture
• +۷ مورد دیگر

Dr. Bronson P. Bullock is a Professor at the University of Georgia's Warnell School of Forestry and Natural Resources and Director of the Plantation Management Research Cooperative (PMRC). He previously held positions at North Carolina State University. His research focuses on forest biometrics, silviculture, and quantitative timber management, with expertise in growth and yield modeling, spatial tree relationships, and Bayesian statistical methods. Education: PhD (2002), MS Biometrics (1998), MS Statistics (2000), and BS (1996) from Virginia Tech and Rutgers. His work bridges biometrics and practical forest management, emphasizing precision forestry and carbon dynamics. Research Interests: Volume equations, statistical sampling, silvicultural impacts, spatial matrix correlations, genetic homogeneity effects, diameter distributions, and carbon stock dynamics. He has published extensively in Forest Science , Forest Ecology and Management , and others. Labs/Centers: Harley Langdale Jr. Center for Forest Business and PMRC. Notable collaborations include studies on hurricane impacts and carbon sequestration in southern pine plantations.

• Smart Wireless Systems
• Internet of Things (IoT)
• Information Security
• +۸ مورد دیگر

Mohammad Derawi is a Professor in the Department of Electronic Systems at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Gjøvik campus. He leads the Smart Wireless Systems (SWS) research group and serves as the scientific leader of the IoT Lab at NTNU Gjøvik. Educational Background: PhD in Information Security from NISLab (Norway) and CASED (Germany) BSc and MSc in Informatics from DTU (Denmark) His research interests span smart wireless systems, Internet of Things (IoT), information security with a focus on biometric authentication, digital electronics, applied machine learning for activity recognition, and e-learning technologies. His work integrates cybersecurity, embedded systems, and data science to develop secure and intelligent IoT solutions for real-world applications. The recent publications highlight a strong trend in mmWave-based sensing for unmanned aerial systems, RF fingerprinting for secure identification, IoT security frameworks, and machine learning applications in education and human resource analytics. His research bridges theoretical innovation with practical implementation, particularly in smart cities, healthcare, and transportation. Scientific Awards and Recognition: Invitation to the Crown Prince and Princess's 50th birthday celebration, 2023 Study Quality Award, NTNU, 2017 Norway’s Youngest Professor Award, 2016 Denmark’s youngest M.Sc. engineering award, 2009 IEEE Commendation for Young Professionals Volunteer, 2011 Multiple best paper awards from IEEE, ACM, and Springer Mohammad Derawi has been involved in several funded research and development projects, including IoT Safetraffic (RFF Inland), Ambulance Drone (NTNU Vice-Rector), Wireless ECG (Innovation Norway), biometric handgun security (RFF Innlandet), and the EU Framework 7 TURBINE project. He mentors students and collaborates with international researchers, contributing significantly to both academic and applied domains. His leadership in the SWS group and IoT Lab fosters innovation in wireless and secure embedded systems. He is actively engaged in laboratory and team-based research, particularly through the Smart Wireless Systems group and the IoT Lab, focusing on developing secure, intelligent, and scalable solutions for next-generation wireless applications.

• Machine Learning
• Signal Processing
• Artificial Intelligence
• +۳ مورد دیگر

Andrei Catalin Coman is a Doctoral Assistant and PhD student at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Institute of Electrical Engineering. He conducts research at the Idiap Research Laboratory, a leading institution in AI and human-centered computing. His research interests lie in the domains of Machine Learning, Signal Processing, Artificial Intelligence, Biometrics, Computer Vision, and Speech Processing , aligned with the technical focus of the Idiap Lab. These fields involve developing intelligent systems for pattern recognition, multimodal interaction, and data analysis. While no publications are listed in the provided text, his work is likely associated with ongoing projects at Idiap, contributing to advancements in AI and intelligent systems. He is actively engaged in academic research and training as part of his doctoral program. Andrei has not been mentioned as receiving any scientific awards or fellowships in the available information. As a doctoral assistant, he may be involved in advising or mentoring undergraduate or master's students, though no specific advisees are listed. His role includes both research and potential teaching responsibilities within the Institute of Electrical Engineering. He is part of the research ecosystem at the Idiap Research Laboratory, a renowned center for AI and signal processing, which fosters interdisciplinary collaboration and innovation in intelligent systems.

Andreas Bernardمشاهده پروفایل

استاد

• Digital Media
• Cultural Studies
• Digital Culture
• +۵ مورد دیگر

Andreas Bernard is a Professor at the Institute of Culture and Aesthetics of Digital Media at Leuphana University of Lüneburg. His work spans digital media, cultural studies, and contemporary poetics, with particular focus on digital self-representation and the cultural implications of media technologies. He has been actively publishing since the late 1990s and continues to produce significant scholarly work into the 2020s. Bernard's research interests center on how digital technologies reshape cultural practices, particularly in the areas of self-representation, organizational structures, and contemporary discourse. His work examines the historical and philosophical dimensions of digital culture, with special attention to profiles, hashtags, and other digital phenomena that structure contemporary life. He approaches these topics through interdisciplinary lenses that combine media theory, cultural history, and philosophical analysis. His publications reveal strong trends in analyzing how media technologies mediate human experience and organization. Bernard frequently investigates the historical precursors to contemporary digital phenomena, showing how current practices emerge from longer cultural trajectories. His recent work has increasingly focused on the poetics and epistemology of digital culture, examining how knowledge is structured and represented in digital environments. Bernard has edited several significant collections including 'Non Knowledge and Digital Cultures' (2018) and 'Theodor W. Adorno 'Minima moralia' neu gelesen' (2003), demonstrating his engagement with both contemporary digital issues and foundational philosophical texts. His work bridges theoretical analysis with concrete cultural phenomena, making significant contributions to understanding digital culture. Among his notable projects are the 'Digital Cultures Research Lab (2017-2022)', 'Making Sense(s). Die Medialität der Nahsinne', and 'Zukunftslabor Gesellschaft und Arbeit'. Through these initiatives, Bernard has helped establish interdisciplinary research frameworks for studying digital culture from multiple perspectives including media history, philosophy, and organizational studies.

• Computer Vision
• Artificial Intelligence
• Robotics
• +۷ مورد دیگر

Christopher McCarthy is an Associate Professor in the Department of Computing Technologies within the School of Science, Computing and Emerging Technologies at Swinburne University of Technology. His research focuses on computer vision algorithms applied to robotics, intelligent transport systems, and assistive technologies, particularly for people with low vision. He serves as Stream Leader in Swinburne’s Innovative Planet Research Institute, leading the Intelligent Transport stream, and is a Chief Investigator in the Australian Cobotics Centre funded by the ARC. He has held research roles at CSIRO Data61, the Bionics Institute, and the University of Melbourne, contributing to bionic eye technology under the Bionic Vision Australia consortium. His research interests include: Computer Vision and AI for real-time systems Robot perception and navigation Assistive technologies for low-vision and blind users Intelligent transport systems and video analytics Human-machine interaction and cyber-human teams His recent publications reflect strong trends in deep learning, continual learning, and real-world deployment of vision systems in transport and healthcare. He has led numerous field trials and evaluations to assess system performance in real-world contexts. His work is highly interdisciplinary, combining computer science with engineering, medicine, and urban planning. Christopher McCarthy has received multiple awards, including: FSET Research Collaboration Award Excellence in Industry Engagement Special Commendation – VC Research Impact Finalist – National Disability Award in Technology Best Paper Award (IEEE) Excellence in Teaching (University of Melbourne) He has supervised over 20 HDR students in areas including robotics, AI, assistive tech, and transport analytics. He has led major research grants from ARC, Defence, SmartCrete CRC, iMOVE, and city councils. He also served as Academic Director for Work-Integrated Learning (2016–2023) and coordinated professional placements. His teaching includes core computer science units such as Computer Systems and Object-Oriented Programming. He maintains ongoing affiliations with: Bionics Institute (Honorary Member) Bionic Vision Australia (Affiliate) Data61 (Honorary Member) Royal Children's Hospital, Melbourne International Task Force for Vision Restoration Outcomes (Chair)