جست‌وجوی استاد و پژوهشگر

Feng Chengمشاهده پروفایل

پژوهشگر

• Data-Driven Security Engineering
• Security Analytics
• Network Security
• +۱۹ مورد دیگر

Dr. Feng Cheng is a Senior Researcher and head of the IT Security Engineering (Sec-Eng) Team at the Hasso Plattner Institute (HPI), Germany, and serves as the Representative of the Chair "Internet Technologies and Systems" at the Digital Engineering Faculty, University of Potsdam. He holds a PhD from the University of Potsdam, an MEng from Beijing University of Technology, and a BEng from Beijing University of Aeronautics and Astronautics. His research is centered on data-driven security engineering, security analytics, network security, cloud security, firewall, IDS/IPS, attack modeling, and penetration testing. Dr. Cheng's research interests span a broad range of cybersecurity domains, with a strong emphasis on security analytics , data-driven threat detection , cloud and network security , and authentication . His work integrates advanced data engineering and machine learning techniques to enhance security operations, including intrusion detection, threat intelligence, and security information and event management (SIEM). Key application areas include IoT security, mobile security, and web security. The recent publications of Dr. Cheng and his team reflect a significant trend towards leveraging big data analytics , machine learning , and graph-based methods for cybersecurity. Their work focuses on developing frameworks for blockchain-based public key infrastructures, advanced SIEM analytics, malware detection using NLP, and chaos engineering for cloud security. This demonstrates a strong commitment to creating practical, scalable, and intelligent solutions for modern security challenges in complex, distributed environments. Dr. Cheng is actively involved in the academic community as a member of ACM and IEEE, a program committee member for numerous international conferences, and an organizer of workshops on cloud computing and cybersecurity. He has also served on editorial boards for international journals. He supervises a large group of PhD, master's, and bachelor's students, guiding research on topics such as security analytics, cyber threat intelligence, digital credentials, and behavioral authentication. He leads the Sec-Eng team, which conducts research on a diverse portfolio including the Security Analytics Lab, HPI-VDB (vulnerability database), Lock-Keeper (physical separation technology), and the Security Lab Generator for scenario-driven security training.

• Systems and Network Security
• Applied Cryptography
• Cybersecurity
• +۹ مورد دیگر

Dr. Angelos D. Keromytis is the John H. Weitnauer, Jr. Endowed Chair Professor and Georgia Research Alliance (GRA) Eminent Scholar at the School of Electrical and Computer Engineering , Georgia Institute of Technology . He is a globally recognized leader in systems and network security and applied cryptography , with over 250 publications and 67 issued US patents. He is an elected Fellow of both the IEEE and ACM, and previously served as a Program Manager at DARPA and Program Director at NSF. Education: Ph.D. in Computer Science, University of Pennsylvania (2001) M.Sc. in Computer Science, University of Pennsylvania (1997) B.Sc. in Computer Science, University of Crete, Greece (1996) Research Interests: Dr. Keromytis's research spans a broad spectrum of cybersecurity topics, including: Systems and Network Security : He has led foundational work in secure systems design, intrusion detection, and network anomaly detection. Applied Cryptography : His work includes cryptographic protocols, secure communications, and privacy-preserving systems. Hardware and Side-Channel Security : He has pioneered techniques for detecting hardware Trojans using electromagnetic side-channels. Cloud and IoT Security : He has developed novel approaches to securing cloud services and IoT devices. Software Security : His work includes defenses against malware, return-oriented programming (ROP), and automated software patching. Scientific Awards: John H. Weitnauer, Jr. Endowed Chair Georgia Research Alliance (GRA) Eminent Scholar IEEE Fellow (2018) ACM Fellow (2017) ACM Distinguished Scientist (2012) DARPA Superior Public Service Medal DARPA Results Matter Award Advising and Grants: Dr. Keromytis has advised over 30 Ph.D. students and numerous postdocs. He has secured over $35M in research funding from agencies like DARPA, NSF, IARPA, ONR, and AFRL. His recent grants include: DARPA SMOKE : $22.7M for "Antikythera" cybersecurity framework NSF SaTC : $1.2M for mobile network anti-tracking architecture DARPA CHASE : $1.7M for network abuse behavioral engine DARPA OPS-5G : $7.3M for large-scale adversary defense ONR : $4.4M for dormant hardware Trojan detection Labs and Teams: He co-founded and co-directs the Center for Cyber Operations Enquiry and Unconventional Sensing (COEUS) at Georgia Tech. Previously, he founded and directed the Network Security Lab (NSL) at Columbia University, which produced foundational research in network security, intrusion detection, and software protection.

Smita Ghoshمشاهده پروفایل

استادیار

• Social Network Analysis
• Machine Learning
• Algorithm Design
• +۳ مورد دیگر

Smita Ghosh is an Assistant Professor in the Department of Mathematics and Computer Science at Santa Clara University, part of the College of Arts and Sciences. Her research focuses on social network analysis, algorithms for information diffusion, and applications in cybersecurity, disaster management, and machine learning. She holds a B.Tech. from the West Bengal University of Technology, India, and an M.S. and Ph.D. from the University of Texas, Dallas. Her work addresses challenges in rumor containment, clickbait detection, and optimizing network models for social media content analysis. Recent publications include studies on hypergraph-based solutions for rumor blocking and stochastic models for emergency response in social networks. She also explores cross-modal topic modeling for enhancing content detection algorithms. Notable contributions include developing data-driven strategies for identifying hate speech spreaders and improving wildfire severity predictions using environmental features. Her research bridges theoretical computer science with real-world applications in public health, education, and disaster management. Her academic contributions include organizing conference proceedings like the 18th International Conference on Algorithmic Aspects in Information and Management (AAIM 2024). She actively contributes to educational initiatives such as the Classroute project, creating multilingual educational content for Punjabi and Urdu speakers.

Gunes Acarمشاهده پروفایل

استادیار

• Web Security
• Privacy
• Online Tracking
• +۳ مورد دیگر

Güneş Acar is a tenured Assistant Professor in the Digital Security group at Radboud University's Faculty of Science. He is also affiliated with iHub, Radboud's interdisciplinary research hub on digitalization and society. His research focuses on security and privacy threats from websites, mobile apps, and IoT devices, with special emphasis on online tracking mechanisms, anonymous communication networks like Tor, and deceptive design patterns. Dr. Acar completed his PhD at KU Leuven under the supervision of Claudia Diaz and Bart Preneel. Prior to joining Radboud University, he was a Postdoctoral Research Fellow at KU Leuven's COSIC group and a Postdoctoral Research Associate at Princeton University's Center for Information Technology Policy. His research spans web security, privacy, online tracking, IoT security, Tor network analysis, and dark patterns. He investigates how websites, mobile apps, and IoT devices compromise user privacy through various tracking mechanisms and deceptive interface designs. His work combines large-scale measurements with user studies to understand both technical vulnerabilities and their real-world impact on users. Dr. Acar's publications reveal an evolving research trajectory from foundational web tracking mechanisms to increasingly sophisticated privacy threats. His work has expanded from browser fingerprinting to IoT privacy, children's online safety, and manipulative design patterns in subscription interfaces. A consistent theme across his research is the examination of how third-party trackers operate and circumvent privacy protections. 2022 CNIL-Inria Award for Privacy Protection (for Leaky Forms paper) Top Reviewer Award, Privacy Enhancing Technologies Symposium (2022) Future of Privacy Forum's Annual Privacy Papers for Policymakers Award (2020) Runner-up for multiple Caspar Bowden Awards for Outstanding Research in Privacy Enhancing Technologies Dutch Research Council (NWO) Vidi Grant (2025-2030) for "A Web Security and Privacy Observatory" Dr. Acar actively supervises PhD students including Zahra Moti, Tim Vlummens, and Luqman Zagi, with Asuman Senol recently completing her PhD in 2024. He has secured significant research funding including the NWO Vidi Grant and a project grant from armasuisse for the Mobile Web Inspector project. His research has influenced policy discussions with organizations including the OECD, US Federal Trade Commission, and European consumer protection authorities. As part of the Digital Security group at Radboud University, Dr. Acar contributes to a vibrant research ecosystem focused on practical security and privacy solutions. His work bridges technical security research with human-centered perspectives, often collaborating across disciplines to address complex privacy challenges in real-world contexts.

Ross Koppelمشاهده پروفایل

استاد مدعو

• Healthcare Information Technology
• Medication Errors
• Technology in Society
• +۲ مورد دیگر

Ross Koppel is an Adjunct Professor of Sociology with expertise in healthcare information technology, medication errors, and ethics in social research. His work explores the intersection of technology and societal impacts, focusing on data governance, clinical workflows, and human factors in health IT systems. Research Interests Context-sensitive understanding of medication errors Societal implications of clinical data sharing Ethical challenges in AI and informatics Healthcare cost analysis Scientific Awards Fellow of the American College of Medical Informatics (FACMI)

• Cybersecurity
• Information Security
• Social Engineering
• +۵ مورد دیگر

Marcus Nohlberg is an Associate Professor in the Department of Information Technology at the University of Skövde, Sweden. His primary academic affiliation is with the School of Informatics where he serves as a course coordinator for multiple bachelor-level courses in information security. He maintains an active research profile with numerous publications in cybersecurity, particularly focusing on human aspects of security. His research interests center on cybersecurity training methods, social engineering, usable security, and information security management. Nohlberg has developed the Context-Based Micro-Training (CBMT) framework, which has become a significant contribution to security awareness training. His work frequently examines how cognitive factors impact security behaviors and how training can be designed to be more effective and accessible. His publication trends show a consistent focus on human-centered security approaches, with recent work expanding into automotive cybersecurity, digital inclusion for seniors, and relationship security aspects. His research demonstrates a strong interdisciplinary approach, bridging computer science with psychology, education, and organizational behavior. Nohlberg has received recognition through numerous publications in reputable journals and conferences including Information and Computer Security, Computers & Security, and various IFIP WG 11.12 symposiums. His work often appears in Human Aspects of Information Security and Assurance conferences. He has led several research projects including "Development of Decision Support for Users in Risky Online Situations" (2020-2022) and "Information Security Training with Context-Based Microtraining" (2019-2020), demonstrating his commitment to translating research into practical security solutions. His work frequently involves collaboration with Swedish municipalities, auto workshops, and other organizations to address real-world security challenges. Nohlberg maintains active engagement with the public through media appearances and popular science presentations at the University of Skövde, discussing topics like AI risks and opportunities, digital security in relationships, and BankID accessibility issues.

François Brémondمشاهده پروفایل

پژوهشگر

• Computer Vision
• Cognitive Vision
• Video Understanding
• +۲۲ مورد دیگر

François Brémond is a Research Director (DR1) at INRIA Sophia Antipolis, where he leads the STARS research team, which he founded on January 1, 2012. He was previously head of the PULSAR team starting September 2009. He is also a co-founder of the CoBTeK team at Nice University in collaboration with Nice Hospital, focusing on behavioral disorders in elderly patients with dementia. His research is centered on dynamic scene interpretation using video and sensor data, with applications in surveillance, healthcare, transportation, and ambient intelligence. Research Interests: Computer Vision: video processing, object detection and tracking, motion analysis, pattern recognition Cognitive Vision: video understanding, scene understanding, event recognition, behavior analysis, multi-sensor fusion, multimedia interpretation Machine Learning: deep learning architectures, self-attention, knowledge distillation, contrastive learning, self-learning, lifelong learning, knowledge-based systems, spatio-temporal reasoning Autonomous Systems: real-time systems, system evaluation, parameter tuning, system design, 3D visualization His work bridges low-level pixel data with high-level semantic behavior modeling, enabling systems to detect and interpret complex human and vehicle activities in real-world environments. Applications include crowd monitoring, fraud detection, airport operations, homecare for the elderly, and biological monitoring. He has authored or co-authored over 200 scientific papers and has (co-)supervised 18 PhD theses. He has participated in 12 European projects (e.g., FP6, FP7), 12 French national projects (ANR, DGE), and numerous industrial collaborations with companies such as Thales, SNCF, RATP, STMicroelectronics, and Alstom. He also serves as an expert reviewer for ANR and the European Commission. Scientific Leadership and Technology Transfer: Co-founder of Keeneo (acquired by Digital Barriers), Ekinnox, and Neosensys — startups in intelligent video monitoring and business intelligence Reviewer for top-tier journals (PAMI, CVIU, AIJ) and conferences (CVPR, ICCV, AVSS) Contributor to the ARDA workshops on video event ontology He has taught numerical classification at Nice University and video understanding at a Master’s level engineering school. His research program emphasizes generic, scalable systems for behavior modeling and long-term activity mining. Research Projects: Stress ID dataset (ECG and video for stress detection) Toyota Smarthome (Activities of Daily Living) SafEE2 (Homecare for elderly with autonomy loss) Praxis dataset (RGB-D upper-body gestures) GER'HOME, CARETAKER, RATP Project, ETISEO, AVITRACK, CASSIOPEE, ADVISOR, PASSWORDS

• Audio-Visual Interface Design
• Sound Synthesis
• Cymatics and Sound Visualization
• +۶ مورد دیگر

Dr Gregory Leplatre serves as a Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He is actively involved with two major research groups: the Centre for Interaction Design and the Centre for Algorithms, Visualisation and Evolving Systems. His work spans across multiple interdisciplinary domains where technology meets human experience. Leplatre's research interests focus on the intersection of sound, visualization, and human interaction. He has made significant contributions to audio-visual interface design, particularly in developing tools that translate sound into visual representations through cymatics. His work extends to therapeutic applications, especially in using real-time 3D graphics to enhance music therapy sessions for individuals on the autism spectrum. Leplatre also investigates speech articulation, soundscape mapping, and multimodal interfaces that create natural cross-modal mappings between visual inputs and sound synthesis. His publication record reveals a consistent trajectory exploring how visual representations of sound can enhance user experience and therapeutic outcomes. Over the past decade, his research has increasingly focused on therapeutic applications for autism spectrum disorder, while maintaining strong foundations in sound synthesis techniques and interface design principles. The work demonstrates a progression from theoretical exploration of audio-visual correspondences to practical implementations with real-world impact. As an academic supervisor, Leplatre has directed or co-supervised numerous doctoral projects, including research on sketching interfaces for sound synthesis, real-time 3D graphic augmentation of music therapy, and emotion recognition in conversational agents. His grant portfolio includes projects like 'Micro-phonics' funded by the Scottish Funding Council and 'Personalisation and the ATM' funded by Innovate UK, demonstrating his ability to secure research funding across different domains. Within the Centre for Interaction Design and the Centre for Algorithms, Visualisation and Evolving Systems, Leplatre contributes to a vibrant research ecosystem focused on creating meaningful human-computer interactions through innovative visualization and sound techniques. His work bridges artistic expression with technical innovation, creating tools that make sound visible and tangible for both therapeutic and creative purposes.

Michelle Mazurekمشاهده پروفایل

دانشیار

• Cybersecurity
• Human-Centered Security and Privacy
• Human-Computer Interaction (HCI)
• +۴ مورد دیگر

Michelle Mazurek is an Associate Professor of Computer Science and Director of the Maryland Cybersecurity Center (MC2) at the University of Maryland, College Park. She holds affiliations with UMIACS and is an Affiliate Associate Professor in Electrical and Computer Engineering (ECE). Her research focuses on human-centered security and privacy, emphasizing real-world user behavior analysis to improve security practices for professionals and end-users. Key areas include developer security education, end-user security behaviors, and encrypted messaging adoption. Education: Ph.D., Electrical and Computer Engineering, Carnegie Mellon University (2014) B.S., Computer Science, University of Maryland (2004) Research Interests: Dr. Mazurek investigates how humans interact with security systems, particularly in professional (e.g., sysadmins, developers) and everyday contexts. Her work addresses challenges like insecure code propagation from online forums, privacy implications of digital tracking, and safety needs of marginalized groups (e.g., sex workers). She leads the Security, Privacy, People (SP2) lab and collaborates with industry partners to design usable security tools. Awards: NSF CAREER Award (2020) CyLab Distinguished Alumni Award (2022) Best Paper Awards at USENIX Security (2018) and NSA (2016) Advising & Leadership: Mazurek advises multiple PhD students in computer science and oversees MC2’s postdoctoral fellowship program. Her leadership expands MC2’s interdisciplinary research in areas like blockchain security, post-quantum cryptography, and human-centered approaches. She also fosters collaborations with industry leaders such as Cisco and Northrop Grumman. Labs & Teams: Directs the SP2 lab within MC2 and participates in the Human-Computer Interaction Lab (HCIL). Past affiliations include CyLab and the Parallel Data Lab (PDL).

• Cybersecurity
• Privacy Engineering
• Usable Security
• +۳ مورد دیگر

Tara Whalen is an Adjunct Professor at the School of Computer Science, Carleton University. Her research focuses on cybersecurity, privacy engineering, usable security mechanisms, and information control systems. She has contributed to studies on password security, authentication alternatives to CAPTCHA, and mobile device privacy challenges. Her work bridges technical security practices with human factors, emphasizing how security systems interact with end-users. Notable projects include breach alerting services and empirical studies on browser security interfaces. She has published extensively since 2003, with recent work addressing modern challenges in password management and privacy-by-design frameworks. No academic awards or grants are listed, though her publications indicate active collaboration in computer security research. She maintains an affiliation with Carleton's Herzberg Laboratories and can be reached at tjwhalen@gmail.com.

• Biometrics
• Behavioral Biometrics
• Mobile Authentication
• +۱۲ مورد دیگر

Ruben Tolosana is a researcher at the Biometrics and Data Pattern Analytics Lab (BiDA Lab) in the School of Engineering at Universidad Autónoma de Madrid. His work centers on biometrics, with emphasis on behavioral and mobile authentication, face recognition, privacy-enhancing technologies, and deep learning applications in human-computer interaction. He actively contributes to major research initiatives such as the FRCSyn-onGoing challenge and the ChildCI framework. PhD in Computer Science or related field (inferred from publication volume and role) Advanced training in machine learning, computer vision, and biometrics His research interests include behavioral biometrics, mobile device security, synthetic data for AI training, privacy in biometric systems, and the application of Transformer models to user authentication. Tolosana's work often involves the development of novel datasets and benchmarking platforms to advance the field. He has co-authored influential surveys on privacy vulnerabilities in mobile sensors and privacy-preserving techniques in biometric recognition. The most recent articles highlight trends in using synthetic data for face recognition, applying Transformers to behavioral biometrics (keystroke, touchscreen, gait), and developing frameworks for child age detection via interaction patterns. His work consistently addresses real-world challenges such as privacy, bias, and system generalization. Publications in journals like Information Fusion , Pattern Recognition , and ACM Computing Surveys reflect the high impact and interdisciplinary nature of his research. Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data (2025) ChildCI framework: Analysis of motor and cognitive development in children-computer interaction for age detection (2024) FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems (2024) SwipeFormer: Transformers for mobile touchscreen biometrics (2024) An Overview of Privacy-Enhancing Technologies in Biometric Recognition (2024) Ruben Tolosana collaborates extensively with researchers in the BiDA Lab, including Rubén Vera-Rodríguez, Aythami Morales, Julian Fierrez, and others. He has contributed to the development of public databases such as mEBAL and ChildCIdb, supporting open science. His work is supported by ongoing research grants (inferred from project scope and publications), and he plays a key role in organizing workshops such as WAMWB to advance the mobile and wearable biometrics community. He is a core member of the Biometrics and Data Pattern Analytics Lab (BiDA Lab), a leading research group in biometric technologies, where he contributes to multiple projects involving mobile authentication, face recognition, and privacy-preserving AI systems.

Pavlo Antonenkoمشاهده پروفایل

دانشیار

• Educational Technology
• AI Literacy
• STEM Education
• +۴ مورد دیگر

Pavlo Antonenko is an Associate Professor of Educational Technology at the University of Florida's School of Teaching and Learning, and Director of the NeurAL Lab. His work focuses on technology integration in education, particularly AI and cybersecurity literacy. Research Interests: He develops educational technologies for scaffolding learning, with emphasis on AI literacy in K-12 education and cybersecurity education for underrepresented groups. His Shark AI curriculum uses fossil teeth and computer vision to teach paleontology and AI concepts, while the CryptoComics program introduces elementary girls to cybersecurity through narrative-based learning. Publications & Grants: Recent work includes NSF-funded projects (Grants #2147625 and #1849768) exploring technology's role in science education. Articles demonstrate his focus on accessible AI education through hands-on activities and community building. Awards & Collaborations: Funded by multiple NSF grants, he collaborates with Christine Wusylko and Kara Dawson on curriculum development. His work addresses equity in STEM education, particularly through innovative programs targeting girls of color. Community Engagement: Provides teacher training workshops for both curricula, emphasizing community building and ongoing support through regular check-ins and professional development sessions.

John Clementsمشاهده پروفایل

مدرس

• Computer Science
• Programming Languages
• Functional Programming
• +۵ مورد دیگر

John Clements is a Lecturer in the Department of Computer Science at California Polytechnic State University. He teaches undergraduate and graduate courses including CSC 430 (Programming Languages) and CSC 202 (Data Structures). His research focuses on programming languages, functional programming, and educational technology, with contributions to the Racket language ecosystem and tools like DrRacket. He emphasizes ethical computing and pedagogical innovation in introductory courses. Clements is actively involved in curriculum design, particularly in integrating test-driven development and socially responsible computing principles. His work spans educational research, compiler design, and IDE development, with a focus on making programming more accessible and inclusive. Education: While specific academic credentials are not explicitly detailed, his extensive contributions to Racket and functional programming suggest advanced training in computer science. He has been affiliated with Cal Poly since at least 2008, contributing to courses and research initiatives. Research Interests: Functional programming, language design, educational computing, test-driven development, and ethics in technology. His projects include Racket's Typed Racket extension, spectral analysis tools for music, and password generation systems using Markov models. He advocates for diverse and inclusive learning environments. Publications: Over 20 papers on topics ranging from notional machines for runtime stacks to ethics-first computing education. Recent work emphasizes integrating social responsibility into CS curricula and improving student retention through interest-based CS0 courses. Labs/Teams: Active in the Racket community, contributing to open-source projects like rust-antlr, RSound, and molis-hai. Collaborates with researchers on pedagogy and programming language theory.

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۷ مورد دیگر

Pascal Knierim is a researcher in the Department of Computer Science at Ludwig Maximilian University of Munich, Germany. He completed his PhD at the same institution in 2020 with a dissertation titled "Enhancing interaction in mixed reality: the impact of modalities and interaction techniques on the user experience in augmented and virtual reality." His research focuses on human-computer interaction, particularly in virtual and augmented reality environments, with an ORCID identifier 0000-0001-9578-9953. Knierim's research interests span virtual reality, augmented reality, mixed reality, ubiquitous computing, and extended reality systems. He has made significant contributions to understanding user interaction in immersive environments, privacy considerations in VR/AR, biometric identification using thermal imaging, and universal interaction frameworks. His work often combines technical innovation with user-centered design principles, resulting in numerous publications at top-tier venues including CHI, MUM, UbiComp, and IEEE Pervasive Computing. Recent work has explored content blocking in extended reality, social anxiety in VR proxemics, user awareness of privacy permissions, and framework development for ubiquitous research preservation. Knierim has collaborated extensively with researchers such as Thomas Kosch, Florian Alt, and Albrecht Schmidt, forming a productive research group within LMU Munich's computer science department. He has also contributed to the academic community through editorial roles for major conferences including Mensch und Computer 2023 and the 22nd International Conference on Mobile and Ubiquitous Multimedia (MUM 2023), demonstrating leadership within his research community. His research demonstrates a strong commitment to both theoretical advancement and practical applications of immersive technologies, with particular attention to user experience, privacy, and accessibility considerations.

Laine Nooneyمشاهده پروفایل

دانشیار

• Media Studies
• Digital History
• Gender Studies
• +۳ مورد دیگر

Laine Nooney is an Associate Professor in the Department of Media, Culture, and Communication at New York University's Steinhardt School of Culture, Education, and Human Development. Their work focuses on the intersections of gender, technology, and cultural history, particularly in the context of personal computing and video game development. Nooney teaches courses such as History of Computing: How the Computer Became Personal , exploring the social and cultural forces shaping digital technology. Research interests include the hidden histories of computing’s gendered labor, the material culture of early computing devices, and the socio-technical narratives surrounding personal computing’s emergence. They emphasize critical analysis of technological progress narratives and the role of marginalized contributors in tech history. Publications span topics like the Apple II’s cultural impact, the uncredited labor in video game history, and the archaeology of early software ecosystems. Their work challenges mainstream historiography to include underrepresented perspectives in tech’s evolution. Awards and grants are not explicitly listed in the provided materials. Nooney advises via their courses but no specific advisee names are provided. Their research extends to digital humanities methodologies and speculative design pedagogies, as seen in works like A ‘speculative pasts’ pedagogy . Professional presence includes a dedicated website (www.lainenooney.com) and active engagement in academic conferences like SHOT. No specific lab or team affiliations are mentioned in the text.