جست‌وجوی استاد و پژوهشگر

Nathan Carterمشاهده پروفایل

استاد

• Mathematics Education
• Data Science
• Computer Graphics
• +۲ مورد دیگر

Nathan Carter is a Professor of Mathematical Sciences at Bentley University, blending computer science with mathematical education through innovative software tools and award-winning textbooks. His research focuses on visualization in abstract algebra, data science pedagogy, and educational technology development. Awards: Beckenbach Book Prize (2012, 2016) MAA Henry L. Alder Award for Distinguished Teaching Publications: Authored foundational texts including Visual Group Theory (2009), Mathematics of Computer Graphics (2016), and edited Data Science for Mathematicians (2020). These works facilitate the teaching of complex mathematical concepts through visual and computational approaches. Software Development: Creates open-source educational tools for mathematical logic and abstract algebra visualization, such as the proof-checking software Lurch. His work emphasizes bridging theoretical mathematics with practical computational skills.

Md Shirajum Munirمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Trustworthy Artificial Intelligence
• +۷ مورد دیگر

Md Shirajum Munir is an Assistant Professor of Computer Science at the School of Computing, Analytics, and Modeling, Dr. Perry College of Mathematics, Computing, and Sciences, University of West Georgia. Previously, he held roles as a Research Assistant Professor at Old Dominion University (2023–2024), Visiting Faculty at Air Force Research Lab (2024), and Postdoctoral Researcher at Virginia Modeling, Analysis, and Simulation Center (2022–2023) and Kyung Hee University (2021–2022). His research focuses on trustworthy AI, stochastic models for cyber-physical systems, edge computing, and resilient smart grids. Education: B.S., Computer Science and Engineering, Khulna University, 2010 Ph.D., Computer Engineering, Kyung Hee University, 2021 Research Interests: Machine Learning & Data Science Trustworthy AI and Explainable AI Edge/Sustainable Computing and IoT Cyber-Physical Systems Security Smart Grid and Energy Management Reinforcement Learning and Stochastic Optimization His recent articles explore topics like multi-agent reinforcement learning for urban air mobility, AI-driven cybersecurity frameworks, and energy-efficient communication systems. He serves as an Associate Editor for the IEEE Internet of Things Journal and is a member of IEEE and its societies.

Pablo Aranda Valenzuelaمشاهده پروفایل

استاد مدعو

• Water Governance
• Infrastructure and Society
• Waste Management and Circular Economy
• +۵ مورد دیگر

Pablo Aranda Valenzuela is a PhD candidate at The University of Queensland (UQ) and holds adjunct professor roles at the University of Chile. His primary academic affiliation is with UQ’s School of Social Science, where he focuses on water governance in extreme climate scenarios. He concurrently serves as a Lecturer in Environmental Law at the University of Chile’s School of Engineering and the Faculty of Physical and Mathematical Sciences. His professional roles include Principal Research Assistant at UQ’s Sustainable Infrastructure Research Hub and Director of the NGO Newenko, specializing in water governance. Education highlights include a Bachelor of Law from the University of Chile (2009), a Master of Integrated Water Management from UQ/Griffith Universities (2020), and specialized training in environmental law and Andean region governance. His research interests bridge environmental policy, infrastructure, and societal impacts, with a focus on sustainable development, climate resilience, and community-based solutions. Key professional experiences span 20+ years, including roles as a consultant for the Chilean government, a course coordinator for Environmental Law and Regulation, and contributions to international reports like the REDD+ framework for Chile’s Climate Strategy (2017-2025). His publications emphasize water security, policy coordination, and institutional frameworks for climate adaptation. Research outputs include analyses of Chilean water governance reforms, groundwater management efficacy, and the intersection of legal frameworks with climate change. He actively engages in public discourse through opinion articles in media outlets like CIPER-CHILE and CODEXVERDE, advocating for systemic policy improvements and equitable resource management.

Andreas Wallraffمشاهده پروفایل

استاد

• Quantum Optics
• Quantum Information Processing
• Superconducting Circuits
• +۳ مورد دیگر

Andreas Wallraff is a Full Professor in the Department of Physics at ETH Zurich, where he leads cutting-edge research in quantum optics and quantum information processing using superconducting electronic circuits. His work focuses on large-bandwidth microwave techniques at ultra-low temperatures, leveraging ETH's FIRST laboratory clean room facilities for device fabrication. He actively collaborates within the Quantum Systems for Information Technology (QSIT) program and teaches advanced courses such as 'Quantum Science with Superconducting Circuits' (Autumn 2025). Education: Imperial College London and RWTH Aachen (B.Sc. equivalent in Physics, 1994) RWTH Aachen (Diploma in Physics/M.Sc. equivalent, 1997) University of Erlangen-Nuremberg (Ph.D. in Physics, 2000) Wallraff's research centers on quantum-coherent phenomena in superconducting circuits, with emphasis on quantum optics implementations, qubit control, and quantum information processing. His group pioneers experimental techniques for observing quantum effects like energy level quantization and tunneling in macroscopic systems, building on his early work with Josephson vortex oscillators. Current efforts integrate microwave engineering with quantum error correction, multi-qubit architectures, and hybrid quantum systems involving semiconductors and graphene quantum dots. His recent publications reveal a strong trend toward scalable quantum computing solutions, particularly in quantum error correction (surface codes, lattice surgery), multi-module processor integration, and real-time feedback control. Work spans fundamental quantum optics (photon-qubit coupling) to engineering challenges (flux control calibration, leakage reduction), with increasing focus on practical implementations for fault-tolerant systems. Scientific Awards: Nicholas Kurti European Science Prize (2006) for 'decisive and innovative experiments on quantum mechanical effects in superconducting circuits' Wallraff leads an active research group integrated into ETH's QSIT initiative, securing substantial grants for quantum processor development and cryogenic infrastructure. His team maintains collaborations across ETH on semiconductor quantum dots, atomic cavity QED, and single-molecule spectroscopy, while developing novel fabrication techniques like polymer spacer processes for 3D-integrated circuits. Future work targets loophole-free Bell tests, quantum networks, and real-time reinforcement learning for quantum control. The group operates within ETH's Laboratorium für Festkörperphysik (HPF D 9), utilizing advanced cryogenic setups for 100-qubit-scale systems. They maintain close ties with Yale University (where Wallraff was a postdoc) and contribute to international quantum computing roadmaps through publications in high-impact journals.

• IoT
• Machine Learning
• Wireless Sensor Networks
• +۳ مورد دیگر

Qi Ang is a Postdoctoral Researcher in the Department of Economics, focusing on interdisciplinary research at the intersection of IoT, machine learning, and cybersecurity. Their work emphasizes practical applications such as smart irrigation, flood prediction systems, and secure wireless communication protocols. Key contributions include enhancing IoT device authentication, developing AI-driven environmental monitoring frameworks, and advancing physical layer security techniques. Research interests span IoT infrastructure, machine learning for environmental data analysis, wireless sensor networks, and cybersecurity solutions for constrained environments. Recent efforts include designing lightweight security protocols for IoT devices and integrating local sensor data with third-party forecasts for precision agriculture and disaster management. Publications highlight trends in sensor network modeling, anomaly detection, and energy-efficient routing. Notable projects include a smart sewage management system and a flooding alert system for municipal use. Qi Ang has also contributed to educational methodologies, as seen in their work on thesis quality assurance in academic settings.

Sophie van der Zeeمشاهده پروفایل

استادیار

• Deception Detection
• Cyber Security
• Behavioral Economics
• +۵ مورد دیگر

Dr. Sophie van der Zee is an Assistant Professor at the Erasmus School of Economics (Erasmus University Rotterdam), specializing in interdisciplinary research at the intersection of behavioral economics, cybersecurity, and deception detection. She serves as academic director of the MSc Behavioural Economics program and participates in Sectorplan SSH-Breed initiatives. Her work combines psychology, computer science, and economics to address human behavior in security contexts, including deception prevention/detection, cybercrime victimization, and sustainable healthcare practices. Education: Multi-disciplinary background in psychology, economics, and computer science Research: Focuses on automated deception detection via motion capture (AMAB system), personalized models using social media analysis, and the human factors in cybersecurity. Also investigates sustainable behavior in healthcare through the ESCH-R consortium. Leadership: Founded the Deception Research Society organizing Decepticon conferences and 'Lies & Allies' webinars. Served as associate editor for Palgrave Communications . Awards: 2020 Klokhuis Science Prize nomination Media Engagement: Regularly featured in Dutch media discussing deception patterns, cybercrime, and behavioral economics (e.g., NTR Wetenschap, Editie-NL, Argos). Her research bridges academic and practical domains, with applications in law enforcement, cybersecurity policy, and organizational behavior. Current projects explore cyber awareness questionnaire efficacy and cross-cultural deception detection methods.

Hossein Pishro-Nikمشاهده پروفایل

استاد

• Information Theoretic Privacy & Security
• Wireless Networks
• Stochastic Modeling
• +۵ مورد دیگر

Hossein Pishro-Nik is a Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst, affiliated with the Manning College of Information and Computer Sciences. He holds B.S. degrees from Sharif University of Technology and M.Sc. and Ph.D. degrees from Georgia Institute of Technology, all in Electrical and Computer Engineering. Education: B.S., Electrical and Computer Engineering, Sharif University of Technology M.Sc., Electrical and Computer Engineering, Georgia Institute of Technology Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology His research focuses on Information Theoretic Privacy & Security , Stochastic Modeling of Wireless Networks , Coding Theory , Vehicular Ad Hoc Networks , and Intelligent Transportation Systems . He has pioneered work in UAV trajectory optimization, privacy-preserving mechanisms, and cyber-physical systems integration. His recent publications address UAV path planning for coverage optimization, adversarial attack mitigation, and semantic communication for 6G. He has received prestigious awards, including the NSF CAREER Award (2009) and UMASS Outstanding Junior Faculty Award (2009). His work is supported by grants such as the CPS: Small grant for decision-making frameworks and cyber-physical networks. His research group has developed a Virtual Lab of Connected Vehicle Technology to explore vehicular safety systems and infrastructure integration. He also investigates energy-efficient UAV-IoT systems and privacy in mobile networks through obfuscation and anonymization techniques.

Claude D'Amoursمشاهده پروفایل

استاد

• Wireless Communications
• MIMO Systems
• CDMA
• +۷ مورد دیگر

Claude D'Amours is a Professor at the University of Ottawa's School of Electrical Engineering and Computer Science, serving as Vice Dean of Academic Affairs since 2007. He holds a B.A.Sc., M.A.Sc., and Ph.D. in Electrical Engineering from the University of Ottawa (1990–1995). His career includes roles at the Communications Research Centre (CRC) and the Royal Military College (RMC). Research interests focus on advanced wireless communication systems, including MIMO, CDMA, OFDM/SC-FDMA, and error control coding. Notable innovations include the parity bit selected spreading technique and permutation spreading for MIMO-CDMA systems. He has pioneered work in UAV-to-ground channel modeling, mmWave MIMO precoding, and physical-layer security against jamming attacks. Recent publications emphasize 5G/6G technologies, secure network design, and channel optimization in challenging environments. His work addresses critical challenges in network reliability, interference management, and spectrum efficiency. Teaching awards: 2006 John V Marsh Award and 2007 University Excellence in Teaching Award Leadership roles: Vice Dean overseeing academic affairs in the Faculty of Engineering His research spans theoretical advancements and practical implementations, with contributions to cognitive radio systems, RF fingerprinting, and underwater sonar-based activity detection. Current projects include AI-driven 3D drone deployment frameworks and low-complexity detection algorithms for overloaded CDMA systems.

Yong Liuمشاهده پروفایل

استاد

• Communication Networks
• Network Measurement
• Online Social Networks
• +۵ مورد دیگر

Yong Liu is a Professor in the Department of Electrical and Computer Engineering at the Tandon School of Engineering, New York University. He also serves as Director of Graduate Programs and is affiliated with the NYU Wireless and the Center for Advanced Technology in Telecommunications (CATT). Liu holds a Ph.D. in Electrical and Computer Engineering from the University of Massachusetts, Amherst (2002). His research focuses on communication networks design, complex systems modeling, and optimization, alongside topics like next-generation networks, overlay networks, and online social network analysis. Education: Ph.D., Electrical and Computer Engineering, University of Massachusetts Amherst, 2002 Research Interests: Design, analysis, and simulation of communication networks Modeling, control, and optimization of complex systems Next-generation network applications and architectures Overlay networks and network measurement Online social networks and recommender systems His work emphasizes improving network efficiency, developing adaptive streaming frameworks, and exploring edge caching strategies for multimedia applications. Awards and Recognitions: Best Paper Award at ACM/USENIX Internet Measurement Conference (IMC) 2012 NSF Career Award 2010 Best Paper Award at IEEE INFOCOM 2009 IEEE Communication Society Multimedia Communications Best Paper Award 2008 Fellow of IEEE Advising and Grants: While no students are listed, Liu’s research is supported by CATT and NYU Wireless. He has contributed to peer-to-peer streaming systems, multicast protocols, and bandwidth optimization frameworks. His grants have likely funded innovations in low-latency streaming, 360-degree video delivery, and network caching strategies. Labs and Teams: Liu is part of NYU Wireless, focused on 6G+ and terahertz research, and CATT, which drives economic impact through technology transfer. These affiliations highlight his role in advancing wireless and telecommunications infrastructure.

• Blockchain Technology
• 5G/6G Networks
• Network Slicing
• +۴ مورد دیگر

Katina Kralevska is an Associate Professor at the Department of Information Security and Communication Technology at NTNU since 2018. She previously served as Deputy Head of Department (2019-2020). Her academic background includes an MSc in Wireless and Mobile Communications from Ss. Cyril and Methodis University, Skopje (2012), and a PhD in Telematics from NTNU (2016). She has also conducted research at Imperial College London (2017). Her research focuses on blockchain technology applications in digital trust systems, 5G/6G network slicing, cybersecurity, distributed storage systems, and intent-based networking. She leads the Digital Transformation project on blockchain trust mechanisms and co-founded MemoScale AS, specializing in data protection solutions. Her publications emphasize blockchain in healthcare, network slicing optimization, and secure communication frameworks. She has advised multiple PhD and Master's students on topics like network slicing, blockchain applications, and 5G security. She holds several patents on erasure coding and network security techniques. She actively participates in academic governance, including NTNU’s Faculty Board, and serves as a program co-chair for IEEE Cyber Science Congress and committee member for global networking workshops.

Matthew Haleمشاهده پروفایل

دانشیار

• Cybersecurity
• Web Services
• Software Engineering
• +۷ مورد دیگر

Dr. Matthew Hale is an Associate Professor of Cybersecurity and Director of the School of Interdisciplinary Informatics at the University of Nebraska at Omaha (UNO) College of Information Science and Technology. With a PhD from the University of Tulsa, he specializes in the intersection of cybersecurity, software engineering, behavioral psychology, and compliance certification. Since 2014, he has secured $5.7 million in grants (including $1.4M as PI) from NSF, NSA, DARPA, USDoT, and others. Director, School of Interdisciplinary Informatics (2018–present) Co-Chair, UNO-UNMC Faculty Senate Coordination Committee (2019–2021) Chair, IS&T Advisory Committee (2017–2021, 2023–present) Research Interests: Focus on cybersecurity training platforms, phishing prevention, IoT security, cloud compliance frameworks, and behavioral analysis of trust-propensity in digital environments. Article Trends: Recent work emphasizes crowd-sourced phishing detection, wearable device security, and multimodal behavioral analysis. Earlier studies explore compliance standards (e.g., SecAgreement), software self-adaptation, and agile team dynamics. Service Summary: Active in university governance, including Faculty Senate President (2019–2020), Diversity & Inclusion Task Force, and multiple sustainability and safety committees. Personal: Interests include cooking analogies to software engineering, philosophy, and Dungeons & Dragons.

Muideen Olaiyaمشاهده پروفایل

پژوهشگر ارشد

• Cardiovascular Disease Epidemiology
• Stroke Surveillance
• Heart Disease Prevention
• +۳ مورد دیگر

Dr Muideen Olaiya is a Senior Research Fellow in the Stroke and Ageing Research Group at Monash University, specializing in cardiovascular disease epidemiology. He holds a MSc in Public Health from Taipei Medical University and a PhD in Epidemiology from Monash University. Prior to his PhD, he completed a prestigious NIH Visiting Fellowship (2017-2020), focusing on cardiometabolic risk factors in community settings. Academic Role: Senior Research Fellow (Monash University) Key Affiliations: Stroke and Ageing Research Group, Monash Health Victorian Heart Institute (VHI) His research focuses on surveillance, prevention, and management of stroke and heart disease, leveraging large datasets (e.g., Australian Stroke Clinical Registry) to inform global policy. He co-leads the Global Stroke Statistics project for the International Journal of Stroke and contributes to the World Stroke Organization-Lancet Neurology Commission. Dr Olaiya has secured over $1.8M in competitive research funding and published >35 peer-reviewed articles in journals like Stroke and Neuroepidemiology . He currently leads projects such as the Love Your Brain digital stroke prevention platform and collaborates on intergenerational heart disease prevention in Nigeria. Scientific Awards: NIH Visiting Fellowship (2017-2020). PhD Supervision: Actively accepting students via Monash Supervisor Connect .

Karen Kensekمشاهده پروفایل

استاد

• Building Information Modeling (BIM)
• Sustainable Architecture
• Digital Design
• +۴ مورد دیگر

Karen Kensek is a Professor at the University of Southern California (USC) in the School of Architecture. Her academic career spans over 20 years, focusing on computer applications in architecture, particularly Building Information Modeling (BIM), sustainability, and digital design. She previously taught at the University of California, Berkeley, where she secured numerous grants and software donations. As a former ACADIA president, she has championed BIM integration with interdisciplinary design and sustainability. Her research interests include BIM for sustainable design, virtual reconstruction of historical sites, solar envelopes, and daylight/glare analysis. Notable contributions include co-editing Building Information Modeling: BIM in Current and Future Practice (Wiley, 2014) and authoring the widely translated Building Information Modeling (Routledge, 2014). Dr. Kensek’s work bridges academia and practice, hosting annual BIM symposia at USC since 2008 and collaborating with industry leaders like Autodesk. Her awards include the 2002 Tau Sigma Delta Medal for Teaching and the 2010 AIA TAP Group Honorable Mention. She actively engages in fault detection via BIM-sensor integration, energy performance analysis, and cross-disciplinary design strategies. Her articles reflect a focus on BIM’s transformative role in architecture—from optimizing building performance and virtual reality visualization to addressing climate adaptation and community engagement. Grants and collaborations underscore her commitment to advancing both pedagogy and industry applications. As a leader in BIM education and research, Kensek’s efforts have influenced global architectural practices, emphasizing sustainability, interoperability, and technology-driven solutions for complex design challenges.

Jay W. Summetمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Robotics
• Interactive Projected Displays
• +۷ مورد دیگر

Jay W. Summet is a Senior Lecturer and OMSCS Associate Director for Academic Affairs at the Georgia Institute of Technology's College of Computing . His career spans research and teaching in computer science, robotics, and interactive display technologies. Ph.D. in Computer Science (HCI specialization), Georgia Tech (2007) MS in Computer Science (End-User Visual Programming), Oregon State (2001) BS in Computer Science (Software Design, Scientific Computing), Central Washington (1999) Dr. Summet's research focuses on Human-Computer Interaction , Interactive Projected Displays , and Robotics , particularly in educational contexts. His work includes developing the Virtual Rear Projection system and BurningWell micro-controller localization technology. Recent publications explore GPS-based urban reconstruction , projector-camera systems , and capture-resistant environments using infrared interference. His teaching impacts courses like CS 6400 (Database Systems) and CS 7638 (AI for Robotics), and he pioneered CS1 with Robots curriculum at Georgia Tech. Scientific Awards Class of 1940 & 1934 Teaching Effectiveness Awards Outstanding Instructor, Georgia Tech College of Computing (2011, 2015) Presidential & Dean's Fellowships (2001-2006) As a Institute for Personal Robots in Education research scientist, he contributed to curriculum development and evaluation. His work appears in top venues like IEEE Pervasive Computing, ACM SIGGRAPH, and CHI.

• Computer Science
• Cybersecurity
• Log Analysis
• +۴ مورد دیگر

Andreas Ekelhart is affiliated with the Faculty of Computer Science and the Research Group Security and Privacy . His work focuses on cybersecurity, log analysis, machine learning applications in security, and privacy-preserving technologies. He contributes to the UN Sustainable Development Goals related to infrastructure and innovation. He is actively involved in research projects such as Adapting Cyber Situational Awareness for Evolving Computing Environments (2023–2026) and the Christian Doppler Labor für Verbesserung der Sicherheit von Informations-prozessen in Produktionssystemen (2020–2024), collaborating with institutions across multiple countries. His recent publications address cybersecurity challenges in industrial control systems, code obfuscation detection using machine learning, and knowledge graph integration for cybersecurity tasks. He emphasizes interdisciplinary approaches combining AI, data analysis, and cybersecurity. No scientific awards or grants are explicitly listed in the provided text, but his sustained research output demonstrates active engagement in the field. He is part of collaborative networks focusing on cybersecurity solutions for evolving computing environments.