A full tactile sensing suite for dextrous robot hands and use in contact force control. - David Johnston; Ping Zhang; John M. Hollerbach; Stephen C. Jacobsen (ICRA, 1996)

On Relating the Disconnectedness of a Contact Formation to the Geometric Properties of its Constituent Objects. - David Johnston; Jing Xiao 001 (ICRA, 2000)

A framework for 911 service in a PBX LAN. - Karthik Venkataraman; David Johnston; Deepankar Medhi (ICC, 2002)

Hierarchical Analysis for Determining Disconnectedness in a Contact Formation. - David Johnston; Jing Xiao 001 (ICRA, 2002)

A Model of the Hemodynamic Response and Oxygen Delivery to Brain. - Ying Zheng; John Martindale; David Johnston; Myles Jones; Jason Berwick; John E. W. Mayhew (NeuroImage, 2002)

Overview of IEEE 802.16 Security. - David Johnston; Jesse Walker (IEEE Secur. Priv., 2004)

Exploring the net impact of internet business solution adoption on SME performance. - Michael Wade; David Johnston; Ron McClean (Int. J. Electron. Bus., 2004)

Haemodynamic responses to sensory stimulation are enhanced following acute cocaine administration. - Ian M. Devonshire; Jason Berwick; Myles Jones; John Martindale; David Johnston; Paul G. Overton; John E. W. Mayhew (NeuroImage, 2004)

Retinotopy within rat primary visual cortex using optical imaging. - Carlos Gias; Nicola Hewson-Stoate; Myles Jones; David Johnston; John E. W. Mayhew; P. J. Coffey (NeuroImage, 2005)

A three-compartment model of the hemodynamic response and oxygen delivery to brain. - Ying Zheng; David Johnston; Jason Berwick; Danmei Chen; Stephen A. Billings; John E. W. Mayhew (NeuroImage, 2005)

Refinement of optical imaging spectroscopy algorithms using concurrent BOLD and CBV fMRI. - Aneurin J. Kennerley; Jason Berwick; John Martindale; David Johnston; Ying Zheng; John E. W. Mayhew (NeuroImage, 2009)

Design approach to an emergency decision support system for mass evacuation. - Yasir Javed; Tony Norris; David Johnston (ISCRAM, 2010)

A dynamic model of neurovascular coupling: Implications for blood vessel dilation and constriction. - Ying Zheng; Yi Pan 002; Samuel Harris; Stephen A. Billings; Daniel Coca; Jason Berwick; Myles Jones; Aneurin J. Kennerley; David Johnston; Chris J. Martin 001; Ian M. Devonshire; John E. W. Mayhew (NeuroImage, 2010)

Ontology-based inference to enhance team situation awareness in emergency management. - Yasir Javed; Tony Norris; David Johnston (ISCRAM, 2011)

Evaluating SAVER: Measuring shared and team situation awareness of emergency decision makers. - Yasir Javed; Tony Norris; David Johnston (ISCRAM, 2012)

Which Object Fits Best? Solving Matrix Completion Tasks with a Humanoid Robot. - Connor Schenck; Jivko Sinapov; David Johnston; Alexander Stoytchev (IEEE Trans. Auton. Ment. Dev., 2014)

μRNG: A 300-950mV 323Gbps/W all-digital full-entropy true random number generator in 14nm FinFET CMOS. - Sanu Mathew; David Johnston; Paul Newman 002; Sudhir Satpathy; Vikram B. Suresh; Mark A. Anders 001; Himanshu Kaul; Gregory K. Chen; Amit Agarwal 001; Steven Hsu; Ram Krishnamurthy 001 (ESSCIRC, 2015)

Synthesis of device-independent noise corpora for speech quality assessment. - Hannes Gamper; Lyle Corbin; David Johnston; Ivan J. Tashev (IWAENC, 2016)

µRNG: A 300-950 mV, 323 Gbps/W All-Digital Full-Entropy True Random Number Generator in 14 nm FinFET CMOS. - Sanu K. Mathew; David Johnston; Sudhir Satpathy; Vikram B. Suresh; Paul Newman 002; Mark A. Anders 001; Himanshu Kaul; Amit Agarwal 001; Steven Hsu; Gregory K. Chen; Ram K. Krishnamurthy (IEEE J. Solid State Circuits, 2016)

Interaural time delay personalisation using incomplete head scans. - Hannes Gamper; David Johnston; Ivan J. Tashev (ICASSP, 2017)

Design Principles for True Random Number Generators for Security Applications. - Milos Grujic; Vladimir Rozic; David Johnston; John Kelsey; Ingrid Verbauwhede (DAC, 2019)

Enhancing the usability of a disaster app: exploring the perspective of the public as users. - Marion Lara Tan; Raj Prasanna; Kristin Stock; Emma Hudson-Doyle; Graham Leonard; David Johnston (ISCRAM, 2019)

Decoding auditory and tactile attention for use in an EEG-based brain-computer interface. - Winko W. An; Hakim Si-Mohammed; Nicholas Huang; Hannes Gamper; Adrian K. C. Lee; Christian Holz 001; David Johnston; Mihai Jalobeanu; Dimitra Emmanouilidou; Edward Cutrell; Andrew D. Wilson; Ivan Tashev (BCI, 2020)

Traffic Flow Estimation based on Deep Learning for Emergency Traffic Management using CCTV Images. - Nilani Algiriyage; Raj Prasanna; Emma E. H. Doyle; Kristin Stock; David Johnston (ISCRAM, 2020)

Decoding Music Attention from "EEG Headphones": A User-Friendly Auditory Brain-Computer Interface. - Winko W. An; Barbara G. Shinn-Cunningham; Hannes Gamper; Dimitra Emmanouilidou; David Johnston; Mihai Jalobeanu; Edward Cutrell; Andrew D. Wilson; Kuan-Jung Chiang; Ivan Tashev (ICASSP, 2021)

Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage. - Nilani Algiriyage; Raj Prasanna; Kristin Stock; Emma Hudson-Doyle; David Johnston; Minura Punchihewa; Santhoopa Jayawardhana (ISCRAM, 2021)

Identifying Disaster-related Tweets: A Large-Scale Detection Model Comparison. - Nilani Algiriyage; Rangana Sampath; Raj Prasanna; Kristin Stock; Emma Hudson-Doyle; David Johnston (ISCRAM, 2021)

A Closed-loop Adaptive Brain-computer Interface Framework: Improving the Classifier with the Use of Error-related Potentials. - Kuan-Jung Chiang; Dimitra Emmanouilidou; Hannes Gamper; David Johnston; Mihai Jalobeanu; Edward Cutrell; Andrew D. Wilson; Winko W. An; Ivan Tashev (NER, 2021)

Investigating Visual Imagery as a BCI Control Strategy: A Pilot Study. - Justin Kilmarx; Hannes Gamper; Dimitra Emmanouilidou; David Johnston; Ed Cutrell; Andrew D. Wilson; Ivan Tashev (BCI, 2022)

PVT Tolerant Zero Bit-Error-Rate Physical Unclonable Function Exploiting Hot Carrier Injection Aging in 7nm FinFET Technology. - Jyothi Bhaskarr Velamala; Siang-jhih Sean Wu; Padma Penmatsa; Kuan-Yueh James Shen; David Johnston; Rachael J. Parker (CICC, 2022)

Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review. - Nilani Algiriyage; Raj Prasanna; Kristin Stock; Emma E. H. Doyle; David Johnston (SN Comput. Sci., 2022)

Stories, journeys and smart maps: an approach to universal access. - Xi Wang; Danny Crookes; Sue-Ann Harding; David Johnston (Univers. Access Inf. Soc., 2022)

A Physical Unclonable Function Leveraging Hot Carrier Injection Aging. - Rachael J. Parker; Jyothi Bhaskarr Velamala; Kuan-Yueh James Shen; David Johnston; Yao-Feng Chang; Stephen M. Ramey; Siang-jhih Sean Wu; Padma Penmatsa (IRPS, 2023)

DEES: a real-time system for event extraction from disaster-related web text. - Nilani Algiriyage; Raj Prasanna; Kristin Stock; Emma E. H. Doyle; David Johnston (Soc. Netw. Anal. Min., 2023)

Workload estimator using EEG and eye-tracking. - Ivan Tashev; Christine Beauchene; R. Michael Winters; Yu-Te Wang; David Johnston; Nathaniel Bridges; Justin R. Estepp (EMBC, 2024)

Online Testing Entropy and Entropy Tests with a Two State Markov Model - Invited Paper. - David Johnston (SPACE, 2024)

Functional Near-Infrared Spectroscopy Feature Extraction with Application in Workload Estimation. - Elisabeth R. M. Heremans; David Johnston; Dimitra Emmanouilidou; Andre Golard; Ivan Tashev; Ryen White (ICASSP, 2025)

Examining Two Hop Reasoning Through Information Content Scaling. - David Johnston; Nora Belrose (CoRR, 2025)

Mechanistic Anomaly Detection for "Quirky" Language Models. - David Johnston; Arkajyoti Chakraborty; Nora Belrose (CoRR, 2025)