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Brian McClendonView profile

Research Professor

• machine learning
• computer vision
• autonomous vehicles
• +1 more

Brian McClendon is a Research Professor at the University of Kansas School of Engineering's Department of Electrical Engineering and Computer Science. Previously, he served as Vice President at Google, leading the Geo business unit responsible for Google Maps, Street View, and Google Earth. His work earned him the United Nations 'Champions of the Earth' award in 2013 and induction into the National Academy of Engineering in 2015. He holds an honorary doctorate in electrical engineering from KU and has over 30 patents. His research focuses on democratizing machine learning, computer vision, autonomous vehicles, and next-generation mapping technologies. Key areas include intelligent geographic information systems, autonomous vehicle navigation, and privacy-preserving geolocation solutions. His work bridges academia and industry, emphasizing scalable, user-centric systems. Notable contributions include innovations in distributed GIS architecture, encryption for transport systems, and methods for image-based location determination. His patents and publications reflect expertise in geospatial data management, sensor integration, and cybersecurity in transportation. Awards : UN Champions of the Earth (2013) National Academy of Engineering Member (2015) Honorary Doctorate in EE (KU, 2015) Grants/Political Activity : Ran for Kansas Secretary of State (2018, Democratic ticket) His lab collaborations emphasize real-world applications of mapping technology, including disaster zone mapping and indoor navigation systems. Current projects explore AI-driven mapping and ethical geospatial data practices.

Stephen BlottView profile

Associate Professor

• Unix/Linux systems
• Computer networks
• Container technologies
• +2 more

Stephen Blott is an Associate Professor at the School of Computing, Dublin City University. He holds a BSc in Computing Science from Glasgow University and a PhD from the same institution. Previously, he worked as a Senior Research Associate at ETH Zurich and as a Principal Investigator at Bell Labs in New Jersey. His research focuses on Unix/Linux systems, computer networks, container technologies, DevOps, and educational tools for computer science. Key areas include operating system optimization, network security protocols, container orchestration, and pedagogical innovations in computer science education. Publications show consistent focus on network security, data management, and computational efficiency. Recent work emphasizes internet infrastructure, privacy-preserving technologies, and biomedical informatics, with strong methodological foundations in simulation and algorithm design.

Lukas BeierliebView profile

Researcher

• Cryptography
• Cybersecurity
• Secure Communication
• +3 more

Lukas Beierlieb is a Researcher at the Chair of Software Engineering (Computer Science II) under Prof. Samuel Kounev at the University of Würzburg. He holds a Bachelor of Science in Computer Science (2018-2020) and a Master of Science in Computer Science (2020-2022) from the same institution. His research focuses on cryptography, cybersecurity, and privacy-preserving technologies, with notable contributions to homomorphic encryption, secure communication protocols, and performance analysis of cryptographic systems. Research Interests: Homomorphic Encryption and its applications Secure group communication mechanisms Privacy-preserving machine learning techniques Performance benchmarking of cryptographic algorithms He has been awarded the Würzburg Software Engineering Award 2022 for his Bachelor Thesis and holds scholarships from the Studienstiftung des deutschen Volkes. His work frequently appears in journals like the International Journal of Information Security and conferences such as ARES.

Jiawei YuanView profile

Associate Professor

• Cybersecurity
• UAV (Drone) Security
• Artificial Intelligence
• +5 more

Jiawei Yuan is an Associate Professor in the Department of Computer & Information Science at the University of Massachusetts Dartmouth, part of the College of Engineering. His research focuses on cybersecurity, UAV security, and AI-driven systems, with emphasis on privacy preservation, adversarial defense mechanisms, and practical educational frameworks. He holds a PhD from the University of Arkansas Little Rock (2015) and a BS from the University of Electronic Science and Technology of China (2011). Research Grants: NSF: $299,999 for UAV Security Platform (2023) NSF: $240,000 for Cybersecurity Education (2023) CyberCorps Scholarship: $1,218,640 for Accelerating Cybersecurity Education (2023) Teaching: Courses include Database Systems, Cybersecurity, and Data Science Thesis Supervision. His research interests span UAV cybersecurity, AI anomaly detection, privacy in 6G systems, and blockchain applications. He has developed novel platforms like UCLP for cybersecurity education and contributed to robust UAV tracking solutions in adversarial environments. His work emphasizes cross-disciplinary approaches, integrating machine learning with cybersecurity for real-world systems. Notable projects include a hybrid delay-aware UAV anomaly detection system and the Virtual Curtain privacy framework for augmented reality. He has also pioneered adversarial attack defenses for AI-assisted infrastructure inspection drones. Awards/Grants: Multiple NSF grants, including a $240K award in 2023 for cybersecurity mindset training. Labs/Teams: Leads the UMass Dartmouth UAV Cybersecurity Lab and collaborates on CyberCorps initiatives.

• Software Engineering
• Data Management Systems
• Database Architecture
• +3 more

Heber Allen is an Associate Professor in the Engineering Department at Snow College. He teaches courses such as Database Systems, Operating Systems, and Software Engineering Practicum. His expertise spans software engineering, data management, and systems design with industry experience in financial, healthcare, and technology sectors. Education: Dual Bachelor's in Computer Information Systems and Accountancy (Magna Cum Laude), Master's in Software Engineering (Cum Laude), and MBA in Software Engineering (Magna Cum Laude), all from Arizona State University. Honors: Completed an honors thesis on 'Data Encryption and Conflict with Free Speech'. His research focuses on data systems integration across industries, emphasizing data ingestion, processing, and maintenance. He holds an Oracle 10g Database Administration certification. Teaching: Specializes in database systems, operating systems, and software engineering practices.

• Networks
• Computer Architectures
• Software Systems
• +4 more

Dr. Frank Boehme is a Lecturer in the School of Computer Science and Information Technology at University College Cork (UCC). His research focuses on networks, computer architectures, software systems, interactive media, and human-computer interaction (HCI). He holds a position at the Western Gateway Building, with contact details including f.boehme@cs.ucc.ie and office G60. His work spans chaos theory applications in communication systems, nonlinear dynamics, and analog circuit design. Research Interests: Networks, computer architectures, software systems, interactive media & HCI, nonlinear systems, signal processing, and chaos-based communication technologies. His contributions include pioneering work on chaos synchronization frameworks and channel compensation techniques in nonlinear systems. Publications Highlight: Dr. Boehme has authored influential papers in chaos communication systems (1993–1996), including foundational work on chaotizer-dechaotizer channels and compensation mechanisms for nonlinear electronic systems. His conference contributions address both theoretical and applied aspects of nonlinear dynamics in electronic circuits.

Moncef TayahiView profile

Associate Professor

• High-Speed Electronics
• Photonic Devices
• Power Electronics
• +2 more

Moncef Tayahi is Associate Professor Educator in Electrical and Computer Engineering at the University of Cincinnati's College of Engineering and Applied Science. Research focuses on high-speed electronic and photonic devices, circuits, and systems. Investigates electrical, chemical and optical properties of smart materials to establish design rules independent of substrate materials or processing technology. Develops photonic, microelectronic and optoelectronic devices for power electronics and sensor applications. Previously held positions at Cleveland State University, Liverpool & Xian Tong University, Rutgers University, and University of Nevada. Former Member of Technical Staff at Bell Labs Lucent Technologies.

Raheem A BeyahView profile

Professor

• Network Security
• Cyber-Physical Systems Security
• Network Traffic Characterization
• +3 more

Raheem A Beyah is the Dean of the College of Engineering at Georgia Tech and holds the Southern Company Chair. He is a Professor in the School of Electrical and Computer Engineering, leading the Communications Assurance and Performance Group (CAP). His research focuses on network security, cyber-physical systems, and critical infrastructure protection. Education: BS in Electrical Engineering from North Carolina A&T State University (1998), MS and PhD in Electrical and Computer Engineering from Georgia Tech (1999-2003). Prior roles include Vice President for Interdisciplinary Research, Interim ECE Chair, and affiliations with the Institute for Information Security & Privacy (IISP). Research interests span network security monitoring, industrial control systems, and IoT vulnerability analysis. Notable achievements include the NSF CAREER Award (2009), ACM Distinguished Scientist (2016), and IEEE Fellow (2025). Advising and grants: Founded Fortiphyd Logic, Inc., and led initiatives like the Online Masters of Cybersecurity (OMS Cybersecurity). Community involvement includes KIPP WAYS Academy board service and leadership programs with United Way and Leadership Atlanta. Labs/Teams: CAP Group focuses on secure network infrastructure and accountable computing systems. Active in academic mentoring through programs like LSAMP and SURE.

• Innovation Management
• Business Innovation
• Global Innovation Systems
• +3 more

Praveen Gupta serves as Adjunct Faculty at San José State University's Lucas College and Graduate School of Business, teaching innovation courses. Founder of the Center for Innovation Science and Applications at Illinois Institute of Technology, he brings industry experience from Motorola, AT&T Bell Labs, and Prysm. Research spans innovation science, business applications, and technology development, with editorial leadership of the International Journal of Innovation Science. Authored works include Global Innovation Science Handbook and The Innovation Solution . Courses focus on innovation management frameworks and business transformation strategies. Recent publications address advanced cancer models and sustainable manufacturing.

Sorina DumitrescuView profile

Professor

• Multimedia Computing
• Data Compression
• Signal Processing
• +4 more

Dr. Sorina Dumitrescu is a Professor in the Department of Electrical & Computer Engineering at McMaster University, where she has held various academic and research roles since 2002. She earned her Ph.D. in Mathematics from the University of Bucharest (1997) and completed a postdoctoral fellowship at the University of Western Ontario (2000–2002). Her research focuses on multimedia coding, communications, and data compression, with particular emphasis on network-aware systems, signal quantization, and steganalysis. She has been recognized with the NSERC University Faculty Award (2007–2012). Her research interests include distributed quantization for machine learning, resource allocation in non-orthogonal multiple access systems, and robust image coding. She has authored numerous publications, including a notable book on network-aware source coding. Dr. Dumitrescu teaches courses such as COMPENG 3SM4 (Algorithm Design and Analysis) and ECE 726 (Machine Learning: An Introduction). Key achievements include pioneering work on multiple description source coding, distributed source coding, and steganalysis. Her articles span topics like optimal quantizer design, network resource allocation, and error-resilient coding strategies. Awards and grants highlight her contributions to advancing communication systems and information theory.

Stephane LemieuxView profile

Assistant Professor

• Cyber Security
• Cryptography
• Actuarial Science
• +5 more

Dr. Stephane Lemieux is an Assistant Professor in the Department of Computer Science at MacEwan University, where he joined in 2019 to pursue research in cyber insurance. His career spans seven years in academia, including roles as a postdoctoral fellow, contract assistant professor, and professor in cryptography and cyber security, alongside eight years in actuarial and financial risk management in various industries. He holds a PhD in Mathematics from the University of Alberta and dual Master’s and Bachelor’s degrees in Mathematics from Carleton University. Education: PhD in Mathematics, University of Alberta M.Sc. in Mathematics, Carleton University B.Sc. in Mathematics, Carleton University Research Interests: Dr. Lemieux specializes in cyber insurance and risk management, cryptography, agricultural insurance, actuarial science, and theoretical computing. He explores privacy-preserving data analysis techniques and abstract algebra, with a focus on group theory and its applications in security frameworks. His work bridges mathematical theory with practical risk assessment and cybersecurity solutions. Publications Trends: His scholarly output includes cryptographic methodologies (e.g., patents on encrypted data systems) and foundational mathematics research (e.g., studies on group theory). His career transition to academia has emphasized interdisciplinary applications of his expertise in cybersecurity and actuarial science. Awards: Federal Deputy Minister's (team) Award, Agriculture Agri-food Canada (2015) Advising & Grants: Though no formal advisees are listed, his research has been supported by grants such as the Brandon University Research Grant (2008), Early Commercialization Grant (2007), and Patent and Legal Fund Grant (2007). His industry experience spans roles like Senior Actuarial Analyst at Economical Insurance and Director of Financial Risk Management at Sunlife Financial. He has also contributed to risk management in Canada's agricultural sector.

Jan LiphardtView profile

Associate Professor

• Biophysics
• Bioengineering
• Single-Molecule Studies
• +5 more

Jan Liphardt is an Associate Professor of Bioengineering at Stanford University , leading the Liphardt Lab. His work bridges physics, engineering, and biology , focusing on single-molecule dynamics, non-equilibrium statistical mechanics, and privacy-preserving medical AI . He is affiliated with the Shriram Center and has pioneered tools like Secure Multiparty Computation for global health data analysis. Education : BA from Reed College (1996), PhD from Cambridge University (1999). His research spans single-molecule biophysics (e.g., RNA dynamics, nuclear pore mechanics) and applied projects in digital health , including a privacy-preserving COVID-19 symptom tracker with 3.6 million reports. Recent articles emphasize mechanogenetics , chromatin dynamics , and wearable stress sensors . Scientific awards include the Searle Scholar Sloan Research Fellowship Hellman Fellowship Mohr Davidow Innovator’s Award (2007) His lab mentors PhD students and postdocs in interdisciplinary methods, and he teaches courses on synthetic biology , AI in bioengineering , and blockchain applications . Collaborations with Lawrence Berkeley National Lab and UC Berkeley highlight his academic journey.

Arash ShaghaghiView profile

Senior Lecturer

• Cybersecurity
• Internet of Things (IoT) Security
• Zero Trust Architecture
• +4 more

Arash Shaghaghi is a Senior Lecturer in Cyber Security and Acting Director of Online Education at the School of Computer Science and Engineering (CSE) at UNSW Sydney. Previously affiliated with RMIT University, Deakin University, Data61 CSIRO, The University of Melbourne, and The University of Texas at Dallas, he holds a PhD in Computer Science and Engineering from UNSW Sydney, an MSc in Information Security from University College London, and a BSc with Distinction from Heriot-Watt University. His research spans cybersecurity with emphasis on IoT security, zero trust architecture, blockchain applications, and posthumous data management. With over 1.7 million AUD in research funding as Lead CI/CI, his work addresses critical challenges in intelligent transport systems, quantum-safe security, and digital legacy solutions. He serves as Associate Editor for the Journal of Ad Hoc Networks and reviews for top conferences including NDSS and IEEE S&P. His 15 most recent publications demonstrate expertise in IoT security frameworks, digital will solutions, encrypted traffic analysis, and vulnerability prediction models. These works appear in premier venues like IEEE TDSC, IEEE S&P, and ACM WWW, reflecting his leadership in solving practical security challenges for emerging technologies. Early Career Academic Excellence Award (Research), UNSW Engineering, 2024 Educational Excellence & Innovation Award, UNSW Engineering, 2023 Heidelberg Laureate Forum Selection (Top 200 young scientists), 2023 Best Demo Award, IEEE LCN Conference, 2020 As an award-winning educator, Shaghaghi leads UNSW's Master of Cyber Security online programs and previously directed Deakin University's Graduate Certificate in Information Technology. His research team includes postdocs, software developers, and 3 current PhD students. He actively engages with media outlets including ABC and The Guardian on cybersecurity topics, particularly digital legacy management and IoT security.

• Acoustic Signal Processing
• Speech Processing
• Robot Audition
• +5 more

Professor Patrick Naylor is a faculty member in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. His research focuses on acoustic signal processing, speech processing, and audio technology, with a particular emphasis on spatial audio, robot audition, and applications in human-robot interaction. His work spans theoretical advancements like polynomial eigenvalue decomposition (PEVD) and practical innovations in audio security, data augmentation, and assistive technologies for hearing aids. He leads the Speech and Audio Processing research group, affiliated with Imperial's Robotics Forum, Artificial Intelligence Network, and Natural and Machine Hearing initiatives. His research addresses challenges in multi-channel speech compression, secure audio transmission, and adaptive systems for dynamic acoustic environments. Notable projects include developing neural network-based methods for sound source localization and enhancing speech recognition for post-stroke aphasia patients. Prof. Naylor's work intersects electrical engineering, machine learning, and cognitive sciences. He has pioneered techniques for binaural speech enhancement using deep learning and contributed to standards in acoustic environment profiling. His lab's research is showcased at www.ee.ic.ac.uk/sap . His publications emphasize audio security (e.g., watermarking, privacy-preserving processing) and ambient cooperative intelligence systems. Current trends focus on explainable AI for acoustic neural embeddings and scalable microphone array processing for smart environments. His research frequently addresses real-world applications in healthcare, robotics, and telecommunications. Prof. Naylor collaborates across disciplines, integrating signal processing with robotics and clinical needs. His lab explores both foundational algorithms and deployable systems, reflecting Imperial's engineering ethos of bridging theory and practice.

Rachel Cardell-OliverView profile

Professor

• Sensor Networks
• Data Analytics
• Environmental Monitoring
• +7 more

Rachel Cardell-Oliver is a Professor and Head of Department in the Computer Science and Software Engineering department at the School of Physics, Maths and Computing , University of Western Australia (UWA). She is also affiliated with the UWA Data Institute and School of Social Sciences, Planning and Transport Research Centre. As President of the Computing Research and Education Association of Australasia (CORE), she leads national academic initiatives. In 2024, she became a Fellow of the Australian Computer Society . Her education includes a PhD in Computer Science (University of Cambridge) , and BSc and MSc (University of Western Australia) . She has held roles at the University of Essex, SRI Cambridge, and UWA. Her research focuses on sensor networks , distributed intelligence , and applications in environmental monitoring (e.g., soil moisture, rammed earth buildings), public transport systems, smart water meters, wastewater treatment, and privacy-preserving data analytics. Her work aligns with UN Sustainable Development Goals, particularly Education and Environment . Key achievements include pioneering smart metering systems and data-driven urban infrastructure solutions . She has authored over 90 publications and secured 28 grants, including major projects like the ARC Training Centre for Transforming Maintenance through Data Science . Grants & Projects : Smart water treatment, transport systems, stormwater management, and sensor network deployments. Labs/Teams : BuildSense (building monitoring), RailSmart (transport planning), and LoRa Underground Farm Sensor Network datasets.