Murtuza Jadliwala is an Associate Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), where he also serves as Graduate Advisor of Record for the Cybersecurity Science MS program. Previously, he held positions at Wichita State University and Swiss Federal Institute of Technology (EPFL). His research focuses on cybersecurity, privacy-enhancing technologies, adversarial machine learning, and distributed systems security, with funding from NSF, Air Force Research Lab, NASA, and others. He received the NSF CAREER Award in 2020. Education: Ph.D. in Computer Science, State University of New York at Buffalo (2008) M.S. in Computer Science, State University of New York at Buffalo (2004) B.E. in Computer Engineering, Mumbai University (2000) His research interests span mobile/IoT security, blockchain technology, incentive mechanisms for security, and usability of privacy-preserving systems. Notable contributions include ScooterID (user authentication via mobility scooters) and Light Ears (smart light-based privacy leaks). He has published over 60 papers in top venues like IEEE S&P, NDSS, and USENIX Security. Awards: NSF CAREER Award (2020), Dwane & Velma Wallace Excellence in Teaching Award (2017), and multiple industry and conference recognitions. Teaching: Courses include Cybersecurity Fundamentals, Practical Attack & Defense Techniques, and Bitcoins & Cryptocurrencies. He leads the Machine Learning & Deployment Thrust at UTSA's MATRIX AI Institute.
Dr. Alan Rea is a Professor of Business Information Systems at Western Michigan University (WMU), affiliated with the Haworth College of Business. He holds a Ph.D. from Bowling Green State University. His teaching focuses on Information Security, Risk Management, CyberEthics, Linux, and Digital Forensics, emphasizing free and open-source software in coursework. He co-directs WMU’s cybersecurity programs and actively participates in academic and industry security working groups. His research explores secure system development, organizational information assurance, and risk management, particularly in cloud services, IoT devices, and mobile applications. He frequently engages with media as a cybersecurity expert and has published widely in journals like the Journal of Information Systems Security and Communications of the ACM. His work also addresses legal challenges in digital forensics, privacy in virtual environments, and innovative pedagogical approaches. Rea’s contributions include developing frameworks such as the Secure Cloud Internetwork Model with Economic and Social Incentives (SCIMES) and the Layered Virtual Reality Commerce System (LaVRCS). He advocates for integrating technology with community health, exemplified by initiatives like the Smart Consumer-Empowered Diabetes Education System (SCEDES).
Yincheng Jin is an Assistant Professor at Binghamton University's School of Computing. He holds a PhD in Computer Science from the University at Buffalo (2023). His research focuses on the intersection of Human-Computer Interaction (HCI), mobile computing, and artificial intelligence, with an emphasis on health and well-being applications. His work includes developing wearable systems, machine learning algorithms, and mobile technologies for smart health monitoring and accessibility solutions like ASL recognition. Key research interests include: Wearable sensing technologies for health monitoring Gesture and emotion recognition systems Security systems based on biometric features Context-aware IoT applications Recent publications explore innovations such as earphone-based facial reconstruction, acoustic gesture interaction, and non-invasive respiratory monitoring. His work bridges hardware innovation with machine learning to create practical health and accessibility solutions. Notable contributions include: Developing VTMonitor for tidal volume estimation via earbuds Creating Signring for continuous ASL recognition Advancing acoustic-based authentication systems ( Earppg , VibPath ) Prior experience includes an internship at Samsung Research America’s Digital Health Department.
Carl Gunter is the George and Ann Fisher Distinguished Professor at the University of Illinois Siebel School of Computing and Data Science. His research focuses on computer security and privacy, particularly in IoT systems, mobile computing, and machine learning applications. Research interests include access control mechanisms, privacy-preserving technologies, and security for emerging systems like smart homes and connected vehicles. His work combines formal methods with practical system implementations. Awards include the Kenneth and Mamie Clark Award for contributions to ethnic minority graduate student development (2015). He serves as Professor in the Information Trust Institute and Coordinated Science Lab. Recent work examines IoT security challenges in residential settings, adversarial attacks on machine learning models, and privacy issues in genomic data analysis.
Emily M. Hand is an Associate Professor and Graduate Director in the Department of Computer Science & Engineering at the University of Nevada, Reno (UNR), where she directs the Machine Perception Laboratory (MPL). Her research bridges Machine Learning, Computer Vision, and Human Perception with a mission to develop wearable assistive technologies for individuals with visual impairments or on the Autism spectrum. Education Doctor of Philosophy, University of Maryland, College Park (2018) Master of Science, University of Maryland, College Park (2015) Bachelor of Science in Computer Science and Engineering, University of Nevada, Reno (2013) Bachelor of Science in Applied Mathematics, University of Nevada, Reno (2013) Research Focus Dr. Hand's work centers on explainable facial feature modeling , human-perception-inspired machine learning , and real-world assistive applications . Her MPL lab pioneers techniques for social interaction enhancement through visual and natural language processing, with emphasis on robustness in noisy environments. Key contributions include facial attribute recognition under unconstrained conditions, deep learning architectures for label noise resilience, and novel approaches to multi-task learning leveraging implicit feature relationships. Publication Trends Analysis of her 14 most recent publications (2012-2020) reveals a consistent trajectory toward socially impactful computer vision: early work focused on foundational techniques in facial recognition and neural network optimization, evolving toward assistive applications by 2017. Her research increasingly integrates temporal modeling (2018), noise-robust systems (2019), and real-world deployment challenges (2020), with 70% of recent work directly addressing accessibility needs through wearable technologies and social interaction aids. Scientific Recognition NSF CAREER-level grant for facial caricature research ($419,979) University of Maryland Future Faculty Fellow NSF Graduate Fellowship Honorable Mention Multiple conference paper acceptances at CVPR, AAAI, and ICRA Senior Scholar Mentor awards for undergraduate researchers Academic Leadership As Graduate Director and Faculty Advisor for UNR's Women in Computer Science and Engineering (WiCSE), Dr. Hand mentors students through the Senior Scholar program while securing significant external funding. Her $419,979 NSF grant develops facial verification systems using caricatures, and her SCO-funded CV-SIGHTT project advances synthetic image generation for defense applications. She actively shapes curriculum through courses in Machine Learning and Computational Linguistics. Laboratory & Outreach The Machine Perception Laboratory (MPL) operates from UNR's WPEB 415, developing wearable social interaction aids through interdisciplinary collaboration. Dr. Hand co-founded Reno's Girls Who Code chapter and participates in State Department speaker series, demonstrating commitment to broadening participation in computing through hands-on outreach and policy engagement.
Edd Salkield is a Computer Security DPhil researcher at the Department of Computer Science, University of Oxford, and a member of St Catherine's College. His work focuses on satellite communication security, examining vulnerabilities such as jamming and spoofing attacks. He has been recognized with a Best Paper Award Runner Up at the 2023 Conference on Security and Privacy in Wireless and Mobile Networks (WiSec). Edd is currently pursuing a DPhil in Computer Science at the University of Oxford. Prior academic qualifications are not detailed in the provided texts. His research interests center around cybersecurity in satellite systems , including topics like fingerprinting resilience against jamming, requirements for downlink overshadowing attacks, and securing Starlink terminals. This work contributes to mitigating emerging threats in space-based communication networks. Edd's recent publications analyze satellite security vulnerabilities, with a focus on jamming/s spoofing attacks and Denial-of-Service scenarios targeting Starlink infrastructure. These studies emphasize securing satellite communication systems against modern adversarial tactics. Best Paper Award Runner Up (WiSec 2023) He is supervised by Professor Ivan Martinovic in his doctoral research. No grants are explicitly mentioned in the provided information. He is affiliated with the Systems Security Lab at the University of Oxford, conducting applied security research in space communication technologies.
Zhichao Cao is an Assistant Professor in the Department of Computer Science and Engineering at Michigan State University's College of Engineering. His research focuses on IoT systems, edge computing, and mobile computing, with a particular emphasis on industrial applications such as OilNet—a high-speed mesh network for oil field operations. He holds a Ph.D. from Hong Kong University of Science and Technology (2013) and a B.S. from Tsinghua University (2006). His research interests include developing intelligent systems for Industry 4.0, leveraging AI and IoT to enhance industrial scenarios. Key areas include network protocols for asynchronous systems, secure mobile authentication, and energy-efficient sensor networks. Recent publications emphasize IoT security, wireless communication protocols, and network efficiency in challenging environments. No scientific awards are explicitly listed, though his work demonstrates significant contributions to networking and IoT fields. He currently has no listed advisees or grant details in the provided text.
Ashutosh Dhekne is an Assistant Professor at the Georgia Institute of Technology's School of Computer Science, specializing in wireless networking, mobile computing, IoT, and embedded systems. His research focuses on UWB localization, sustainability, and Tiny Data, with applications in robotics, security, and human-computer interaction. Education: PhD in Computer Science (UIUC, 2019), MTech (IIT Bombay, 2009), and BTech (Pune University, 2006). Professional experience includes roles at Intel and Securifi, and internships at NEC, Intel Labs, and Zendrive. Research highlights include NSF CAREER Award-winning work on UWB localization, Tiny Data initiatives, and sustainability projects. He has published over 50 papers in venues like MobiSys, IPIN, and IEEE Journals. Teaching includes the popular CS8803 course on Mobile Computing and IoT. Advised students have contributed to projects like IntruSense, PetTrack, and UWB-Auth authentication systems. Awards include NSF CAREER, Best Paper Awards, and teaching recognitions. Engages in broader impacts through art exhibits (TechMyMoves) and community projects like Internet-in-a-Box.
Koranteng Felix Nti is a Doctoral Candidate in the Industrial Engineering and Innovation Sciences Department at Eindhoven University of Technology (TU/e), affiliated with the Human Technology Interaction (HTI) group. His research focuses on persuasive technology, particularly how social media platforms can be designed with credibility features to influence positive behavioral change. Nti holds a BSc in Computer Science from Kwame Nkrumah University of Science and Technology (2015) and an MSc in Management Information Systems from Ghana Institute of Management and Public Administration (2017). He has published in top journals such as Behaviour and Information Technology and Education and Information Technology . Education Background: 2011: HND Computer Science, Kumasi Technical University 2015: BSc Computer Science, Kwame Nkrumah University of Science and Technology 2017: MSc Management Information Systems, GIMPA Research Interests: Persuasive system design Credibility in technology Social support mechanisms Survey and experimental research methods Nti’s work contributes to UN Sustainable Development Goals, particularly in advancing innovation and infrastructure. His research has been recognized with a Best Paper Award at Persuasive 2022 (shared with collaborators). Key methodologies include systematic reviews, multivariate analysis, and experimental validation of persuasive design principles.
Daniel Schulz is an active researcher in computer science with a focus on machine learning and security, publishing in venues like Neurocomputing , Sensors , and conferences such as CASE and IJCB . His work spans biometric authentication, computer vision, and software engineering applications. 2025 : Single-morphing attack detection using triplet-loss networks 2024 : Comparative optical pose estimation studies for electronics packaging 2023 : Two-stage pedestrian detection for domain generalization 2022 : Identity document quality assessment frameworks His research integrates machine learning with practical security solutions, including biometric liveness detection and ID card spoofing prevention. Recent publications emphasize synthetic data and few-shot learning techniques. Key publication trends include: Biometric security (2023-2025) Computer vision applications (2021-2024) Software engineering and agricultural tech (2009-2021)
Richard Morfuni is a Researcher at Monash University, leading roles as Chief Investigator in multiple interdisciplinary projects. His work focuses on healthcare technology, biomedical engineering, and design research, addressing challenges in mobile medical care, smart healthcare systems, and worker safety. Notable projects include a rugged X-ray CT scanner for mobile care delivery, self-service airport security checkpoints, and smart bedding systems for aged care. He has contributed to innovative medical devices like the PALM asthma treatment system and Blundstone Intelligent Footwear for healthcare workers. Education details are not explicitly stated, but his research aligns with Monash University's biomedical and engineering disciplines. Collaborations span academic and industry partners, including Blundstone and IP Australia. His work aligns with UN Sustainable Development Goals related to health and innovation. Research Projects: Rugged X-ray CT Scanner for Mobile Care Delivery (Project Manager) Self-service Airport Security Checkpoint (Chief Investigator) Sleeptite REMi Smart Bedding System (Chief Investigator) Blundstone Intelligent Footwear (Designer) Scientific Awards: 2021 Good Design Award (Hand Hygiene Management) 2022 Designers Australia Awards (Blundstone Footwear) 2023 Designers Australia Awards (PALM System) Patents: United States Patent (2024) for PALM System IP Australia Patent (2019) for Health Monitoring Tech His research outputs emphasize user-centered design and interdisciplinary collaboration, with a focus on translating innovations into practical healthcare solutions. Media coverage highlights projects like the 'intelligent boot' for healthcare workers, demonstrating real-world impact.
Aleksandar Kuzmanovic is a Professor in the Department of Computer Science at Northwestern University, leading the Northwestern Networks Group. He holds a Ph.D. from Rice University (2005) and B.S./M.S. degrees from the University of Belgrade (1996/1999). His research focuses on computer networking, including denial-of-service resiliency, protocol design, and Internet-scale systems. Notable contributions include the TCP-LP protocol adopted in Linux, Explicit Congestion Notification (ECN) as an Internet standard, and denial-of-service defenses for Akamai’s CDN. He has over 60 publications in top venues such as SIGCOMM, NSDI, and IMC. Education: Ph.D., Electrical and Computer Engineering, Rice University (2005) M.S., Electrical Engineering, University of Belgrade (1999) B.S., Electrical Engineering, University of Belgrade (1996) Research Interests: Network protocols and congestion control Security and resiliency in distributed systems CDN optimization and edge computing Privacy-preserving network architectures Internet measurement and standardization Professional Activities: Visiting Professor at University of Electronic Science and Technology of China Steering Committee Member of Measurement Lab (Measurement Lab) Co-founder of bloXroute Labs, Inc. Awards: NSF CAREER Award (2008) Microsoft Trustworthy Computing Award (2006) Searle Junior Fellowship (2006) Rice Presidential Fellowship (1999) Teaching: EECS 110: Introduction to Computer Programming EECS 397/497: IoT Networks Seminar
Dr. Daniel Hugenroth is a Post-doctoral Researcher at the University of Cambridge's Department of Computer Science and Technology. His research focuses on applied cryptography, secure protocols, anonymity, and mobile systems, with an emphasis on bridging theoretical concepts and real-world implementations. He also emphasizes software engineering best practices, including maintainability and example-driven development. His work spans cryptographic protocol design, secure communication systems, and privacy-preserving technologies for mobile devices. Notable projects include Sloth (Secure Element-based encryption) and Spectrum (cross-platform image processing). He has contributed to open-source libraries like Fresco and authored articles on topics ranging from A/B testing to linear programming in scheduling. Recent research highlights include verifiable AI safety benchmarks using trusted execution environments, privacy-preserving user discovery in anonymity networks (e.g., Pudding ), and energy-efficient anonymity protocols for mobile systems. Dr. Hugenroth teaches Cryptography and Protocol Engineering at the MPhil/Part III level. His publications address both foundational security challenges and practical software engineering solutions.
Dr. Marc Conrad is a Principal Lecturer in Computing and Information Systems at the University of Bedfordshire , affiliated with the School of Computer Science and Technology . His academic career spans over two decades, with expertise in Cybersecurity , Virtual Reality , Education Technology , and Data Science . He has supervised sixteen PhD students to completion and authored over seventy peer-reviewed publications. Research interests include cross-cultural software development, secure applications, virtual learning environments, and data governance. Notable projects include collaborations with Bedfordshire Police on cyberharassment and the EU-funded EDISON initiative for Data Science professionalization. He is a Fellow of the Higher Education Academy (FHEA) and a member of the BCS, Institute of Mathematics and Applications, and Croatian Mathematical Society. Teaching focuses on IT Project Management , Full Stack Development , and innovative pedagogical approaches like virtual reality integration. He leads undergraduate computing programs and chairs PhD supervisory committees within the Institute for Research in Applicable Computing (IRAC). External roles include grant reviewing for MRC, NSERC, and ESRC. Dr. Conrad's work bridges academia and industry, addressing challenges in cybersecurity, e-government, and digital transformation. His labs explore AI, blockchain, and forensic imaging, with recent projects tackling cybercrime in post-pandemic contexts and scam prevention in online gaming.
Steve Love is a Senior Researcher at the Digital Design Studio of The Glasgow School of Art, focusing on the impact of mobile technology and digital applications on human behavior, learning, and usability. His work spans interdisciplinary research in areas such as medtech for children, autonomous driving UX, cybersecurity, and mobile governance. He has led projects funded by the European Space Agency, ESA Digital Good Network, and industry partners like BT and Sharp Laboratories Europe. Notably, he received an Industrial Secondment Award from the Royal Academy of Engineering. Love's research explores topics including multimodal play in healthcare, ethical implications of digital tools, and user experience design for emerging technologies. He is the author of Understanding Mobile Human-Computer Interaction (2005) and editor of Handbook of Mobile Technology Research Methods (2009). His contributions include over 60 publications, emphasizing empirical studies on phishing avoidance, mobile commerce drivers, and cultural factors in technology adoption. His recent work highlights co-design methodologies in medtech (e.g., MRI preparation for children via mixed realities) and the psychological dimensions of autonomous vehicle interaction. Collaborations with institutions like the European Social Fund and Orange underscore his industry-academia partnerships. Key Projects: ESRC Digital Good Network (2025), Mixed Realities Play Kit (2023), Autonomous Driving Feedback (2021) Awards: Royal Academy of Engineering Industrial Secondment Award Labs/Teams: Digital Design Studio at GSA
