Publications

2021

  1. CARACAL: A versatile passive acoustic monitoring tool for wildlife research and conservation
    Wijers, Matthew, Loveridge, Andrew, Macdonald, David W, and Markham, Andrew
    Bioacoustics 2021
  2. The influence of spatial features and atmospheric conditions on African lion vocal behaviour
    Wijers, Matthew, Trethowan, Paul, Preez, Byron, Chamaillé-Jammes, Simon, Loveridge, Andrew J, Macdonald, David W, and Markham, Andrew
    Animal Behaviour 2021
  3. iMag+: An Accurate and Rapidly Deployable Inertial Magneto-Inductive SLAM System
    Wei, Bo, Trigoni, Niki, and Markham, Andrew
    IEEE Transactions on Mobile Computing 2021
  4. Human tracking and identification through a millimeter wave radar
    Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Jianan, Chen, Changhao, Wang, Wei, Trigoni, Niki, and Markham, Andrew
    Ad Hoc Networks 2021

2020

  1. Robust attentional aggregation of deep feature sets for multi-view 3D reconstruction
    Yang, Bo, Wang, Sen, Markham, Andrew, and Trigoni, Niki
    International Journal of Computer Vision 2020
  2. DeepTIO: A deep thermal-inertial odometry with visual hallucination
    Saputra, Muhamad Risqi U, Gusmao, Pedro PB, Lu, Chris Xiaoxuan, Almalioglu, Yasin, Rosa, Stefano, Chen, Changhao, Wahlström, Johan, Wang, Wei, Markham, Andrew, and Trigoni, Niki
    IEEE Robotics and Automation Letters 2020
  3. FootSLAM meets adaptive thresholding
    Wahlström, Johan, Markham, Andrew, and Trigoni, Niki
    IEEE Sensors Journal 2020
  4. Deep learning for fast simulation of seismic waves in complex media
    Moseley, Ben, Nissen-Meyer, Tarje, and Markham, Andrew
    Solid Earth 2020
  5. Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference
    Chen, Changhao, Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Wei, Markham, Andrew, and Trigoni, Niki
    IEEE Internet of Things Journal 2020
  6. Learning With Stochastic Guidance for Robot Navigation
    Xie, Linhai, Miao, Yishu, Wang, Sen, Blunsom, Phil, Wang, Zhihua, Chen, Changhao, Markham, Andrew, and Trigoni, Niki
    IEEE transactions on neural networks and learning systems 2020
  7. Milli-rio: Ego-motion estimation with low-cost millimetre-wave radar
    Almalioglu, Yasin, Turan, Mehmet, Lu, Chris Xiaoxuan, Trigoni, Niki, and Markham, Andrew
    IEEE Sensors Journal 2020
  8. Wirelessly Powered Embedded Sensor Nodes for Internal Structural Health Monitoring
    Wang, Zhihua, and Markham, Andrew
    IEEE Transactions on Industrial Electronics 2020
  9. Learning distributed communication and computation in the IoT
    Abudu, Prince, and Markham, Andrew
    Computer Communications 2020
  10. Vocal discrimination of African lions and its potential for collar-free tracking
    Wijers, Matthew, Trethowan, Paul, Du Preez, Byron, Chamaillé-Jammes, Simon, Loveridge, Andrew J, Macdonald, David W, and Markham, Andrew
    Bioacoustics 2020
  11. Atloc: Attention guided camera localization
    Wang, Bing, Chen, Changhao, Lu, Chris Xiaoxuan, Zhao, Peijun, Trigoni, Niki, and Markham, Andrew
    In Proceedings of the AAAI Conference on Artificial Intelligence 2020
  12. CVPR ORAL Randla-net: Efficient semantic segmentation of large-scale point clouds
    Hu, Qingyong, Yang, Bo, Xie, Linhai, Rosa, Stefano, Guo, Yulan, Wang, Zhihua, Trigoni, Niki, and Markham, Andrew
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020
  13. SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference
    Xie, Linhai, Markham, Andrew, and Trigoni, Niki
    In 2020 IEEE International Conference on Robotics and Automation (ICRA) 2020
  14. Heart rate sensing with a robot mounted mmwave radar
    Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Bing, Chen, Changhao, Xie, Linhai, Wang, Mengyu, Trigoni, Niki, and Markham, Andrew
    In 2020 IEEE International Conference on Robotics and Automation (ICRA) 2020
  15. See through smoke: robust indoor mapping with low-cost mmWave radar
    Lu, Chris Xiaoxuan, Rosa, Stefano, Zhao, Peijun, Wang, Bing, Chen, Changhao, Stankovic, John A, Trigoni, Niki, and Markham, Andrew
    In Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services (MobiSys) 2020
  16. Deep Emergent Communication for the IoT
    Abudu, Prince, and Markham, Andrew
    In 2020 IEEE International Conference on Smart Computing (SMARTCOMP) 2020
  17. milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion
    Lu, Chris Xiaoxuan, Saputra, Muhamad Risqi U, Zhao, Peijun, Almalioglu, Yasin, Gusmao, Pedro PB, Chen, Changhao, Sun, Ke, Trigoni, Niki, and Markham, Andrew
    In Proceedings of the 18th Conference on Embedded Networked Sensor Systems (SenSys) 2020

2019

  1. Deep neural network based inertial odometry using low-cost inertial measurement units
    Chen, Changhao, Lu, Xiaoxuan, Wahlstrom, Johan, Markham, Andrew, and Trigoni, Niki
    IEEE Transactions on Mobile Computing 2019
  2. Sensor Fusion for Magneto-Inductive Navigation
    Wahlström, Johan, Kok, Manon, Gusmao, Pedro Porto Buarque, Abrudan, Traian E, Trigoni, Niki, and Markham, Andrew
    IEEE Sensors Journal 2019
  3. Zero-Velocity Detection-A Bayesian Approach to Adaptive Thresholding
    Wahlstrom, Johan, Skog, Isaac, Gustafsson, Fredrik, Markham, Andrew, and Trigoni, Niki
    IEEE Sensors Letters 2019
  4. Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data
    Lu, Chris Xiaoxuan, Xiangli, Yuanbo, Zhao, Peijun, Chen, Changhao, Trigoni, Niki, and Markham, Andrew
    IEEE Internet of Things Journal 2019
  5. Learning monocular visual odometry through geometry-aware curriculum learning
    Saputra, Muhamad Risqi U, Gusmao, Pedro PB, Wang, Sen, Markham, Andrew, and Trigoni, Niki
    In 2019 International Conference on Robotics and Automation (ICRA) 2019
  6. Map-aided navigation for emergency searches
    Wahlström, Johan, Gusmao, Pedro Porto Buarque, Markham, Andrew, and Trigoni, Niki
    In 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS) 2019
  7. mid: Tracking and identifying people with millimeter wave radar
    Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Jianan, Chen, Changhao, Wang, Wei, Trigoni, Niki, and Markham, Andrew
    In 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS) 2019
  8. Map-aided navigation for emergency searches
    Wahlström, Johan, Gusmão, Pedro Porto Buarque, Markham, Andrew, and Trigoni, Niki
    In 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS) 2019
  9. Distilling knowledge from a deep pose regressor network
    Saputra, Muhamad Risqi U, Gusmao, Pedro PB, Almalioglu, Yasin, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the IEEE International Conference on Computer Vision 2019
  10. Seismic wave propagation and inference using deep learning, numerical methods and wave physics
    Nissen-Meyer, Tarje, Szenicer, Alexandre, Moseley, Benjamin, Leng, Kuangdai, and Markham, Andrew
    In AGU Fall Meeting 2019 2019
  11. Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
    Lu, Chris Xiaoxuan, Kan, Xuan, Du, Bowen, Chen, Changhao, Wen, Hongkai, Markham, Andrew, Trigoni, Niki, and Stankovic, John
    In The World Wide Web Conference 2019
  12. Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents
    Everett, Richard, Cobb, Adam, Markham, Andrew, and Roberts, Stephen
    In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems 2019
  13. Selective sensor fusion for neural visual-inertial odometry
    Chen, Changhao, Rosa, Stefano, Miao, Yishu, Lu, Chris Xiaoxuan, Wu, Wei, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2019

2018

  1. Dense 3D object reconstruction from a single depth view
    Yang, Bo, Rosa, Stefano, Markham, Andrew, Trigoni, Niki, and Wen, Hongkai
    IEEE transactions on pattern analysis and machine intelligence 2018
  2. Listening to lions: animal-borne acoustic sensors improve bio-logger calibration and behaviour classification performance
    Wijers, Matthew, Trethowan, Paul, Markham, Andrew, Du Preez, Byron, Chamaillé-Jammes, Simon, Loveridge, Andrew, and Macdonald, David
    Frontiers in Ecology and Evolution 2018
  3. Visual SLAM and structure from motion in dynamic environments: A survey
    Saputra, Muhamad Risqi U, Markham, Andrew, and Trigoni, Niki
    ACM Computing Surveys (CSUR) 2018
  4. In situ behavioral plasticity as compensation for weather variability: implications for future climate change
    Noonan, Michael J, Newman, Chris, Markham, Andrew, Bilham, Kirstin, Buesching, Christina D, and Macdonald, David W
    Climatic change 2018
  5. Snoopy: Sniffing your smartwatch passwords via deep sequence learning
    Lu, Chris Xiaoxuan, Du, Bowen, Wen, Hongkai, Wang, Sen, Markham, Andrew, Martinovic, Ivan, Shen, Yiran, and Trigoni, Niki
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018
  6. Learning 3D scene semantics and structure from a single depth image
    Yang, Bo, Lai, Zihang, Lu, Xiaoxuan, Lin, Shuyu, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2018
  7. Learning with training wheels: speeding up training with a simple controller for deep reinforcement learning
    Xie, Linhai, Wang, Sen, Rosa, Stefano, Markham, Andrew, and Trigoni, Niki
    In 2018 IEEE International Conference on Robotics and Automation (ICRA) 2018
  8. iMag: Accurate and rapidly deployable inertial magneto-inductive localisation
    Wei, Bo, Trigoni, Niki, and Markham, Andrew
    In 2018 IEEE International Conference on Robotics and Automation (ICRA) 2018
  9. Defo-Net: Learning body deformation using generative adversarial networks
    Wang, Zhihua, Rosa, Stefano, Xie, Linhai, Yang, Bo, Wang, Sen, Trigoni, Niki, and Markham, Andrew
    In 2018 IEEE International Conference on Robotics and Automation (ICRA) 2018
  10. Learning the intuitive physics of non-rigid object deformations
    Wang, Zhihua, Rosa, Stefano, and Markham, Andrew
    In Neural Information Processing Systems (NIPS) Workshops 2018
  11. Automatic Face Recognition Adaptation via Ambient Wireless Identifiers
    Lu, Chris Xiaoxuan, Zhao, Peijun, Du, Bowen, Wen, Hongkai, Markham, Andrew, Rosa, Stefano, and Trigoni, Niki
    In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems 2018
  12. Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics
    Lu, Chris Xiaoxuan, Du, Bowen, Zhao, Peijun, Wen, Hongkai, Shen, Yiran, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the 2018 ACM International Symposium on Wearable Computers 2018
  13. Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus
    Cobb, Adam D, Everett, Richard, Markham, Andrew, and Roberts, Stephen J
    In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018
  14. IONet: Learning to cure the curse of drift in inertial odometry
    Chen, Changhao, Lu, Xiaoxuan, Markham, Andrew, and Trigoni, Niki
    In Thirty-Second AAAI Conference on Artificial Intelligence 2018
  15. Towards an enterprise architecture controlling framework
    Arriola, Lennin, and Markham, Andrew
    In Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings 2018

2017

  1. Getting to the core: Internal body temperatures help reveal the ecological function and thermal implications of the lions’ mane
    Trethowan, Paul, Fuller, Andrea, Haw, Anna, Hart, Tom, Markham, Andrew, Loveridge, Andrew, Hetem, Robyn, Preez, Byron, and Macdonald, David W
    Ecology and evolution 2017
  2. An active-radio-frequency-identification system capable of identifying co-locations and social-structure: Validation with a wild free-ranging animal
    Ellwood, Stephen A, Newman, Chris, Montgomery, Robert A, Nicosia, Vincenzo, Buesching, Christina D, Markham, Andrew, Mascolo, Cecilia, Trigoni, Niki, Pasztor, Bence, Dyo, Vladimir, and others,
    Methods in Ecology and Evolution 2017
  3. Magneto-Inductive Tracking in Underground Environments
    Abrudan, Traian E, Kypris, Orfeas, Trigoni, Niki, and Markham, Andrew
    Underground Sensing: Monitoring and Hazard Detection for Environment and Infrastructure 2017
  4. Snoopy: Sniffing Your Passwords from Motion Sensors on Smartwatches
    Lu, Chris Xiaoxuan, Du, Bowen, Wen, Hongkai, Wang, Sen, Markham, Andrew, Martinovic, Ivan, Shen, Yiran, and Trigoni, Niki
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2017
  5. 3d object reconstruction from a single depth view with adversarial learning
    Yang, Bo, Wen, Hongkai, Wang, Sen, Clark, Ronald, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the IEEE International Conference on Computer Vision 2017
  6. GraphTinker: Outlier rejection and inlier injection for pose graph SLAM
    Xie, Linhai, Wang, Sen, Markham, Andrew, and Trigoni, Niki
    In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017
  7. Evolutionary machine learning for RTS game StarCraft
    Wu, Lianlong, and Markham, Andrew
    In Thirty-First AAAI Conference on Artificial Intelligence 2017
  8. SCAN: Learning Associations between Noisy Sensor Sets
    Lu, Xiaoxuan, Wen, Hongkai, Wang, Sen, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks 2017
  9. SCAN: learning speaker identity from noisy sensor data
    Lu, Chris Xiaoxuan, Wen, Hongkai, Wang, Sen, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks 2017
  10. Towards self-supervised face labeling via cross-modality association
    Lu, Chris Xiaoxuan, Kan, Xuan, Rosa, Stefano, Du, Bowen, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems 2017
  11. VeriNet: user verification on smartwatches via behavior biometrics
    Lu, Chris Xiaoxuan, Du, Bowen, Kan, Xuan, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications 2017
  12. Interpreting lion behaviour with nonparametric probabilistic programs
    Dhir, Neil, Wood, Frank, Vákár, Matthijs, Markham, Andrew, Wijers, Matthew, Trethowan, Paul, Du Preez, Byron, Loveridge, Andrew, and Macdonald, David
    In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 2017
  13. Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem
    Clark, Ronald, Wang, Sen, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    In Thirty-First AAAI Conference on Artificial Intelligence 2017
  14. Vidloc: A deep spatio-temporal model for 6-dof video-clip relocalization
    Clark, Ronald, Wang, Sen, Markham, Andrew, Trigoni, Niki, and Wen, Hongkai
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2017
  15. Underground Sensing: Monitoring and Hazard Detection for Environment and Infrastructure
    Abrudan, Traian E, Kypris, Orfeas, Trigoni, Niki, and Markham, Andrew
    2017

2016

  1. Tracking people in highly dynamic industrial environments
    Papaioannou, Savvas, Markham, Andrew, and Trigoni, Niki
    IEEE Transactions on mobile computing 2016
  2. Use of tri-axial accelerometers to assess terrestrial mammal behaviour in the wild
    Lush, L, Ellwood, S, Markham, A, Ward, AI, and Wheeler, P
    Journal of Zoology 2016
  3. 3-D displacement measurement for structural health monitoring using low-frequency magnetic fields
    Kypris, Orfeas, and Markham, Andrew
    IEEE Sensors Journal 2016
  4. Magnetic induction-based positioning in distorted environments
    Kypris, Orfeas, Abrudan, Traian E, and Markham, Andrew
    IEEE Transactions on Geoscience and Remote Sensing 2016
  5. Underground incrementally deployed magneto-inductive 3-D positioning network
    Abrudan, Traian E, Xiao, Zhuoling, Markham, Andrew, and Trigoni, Niki
    IEEE Transactions on Geoscience and Remote Sensing 2016
  6. Impact of rocks and minerals on underground magneto-inductive communication and localization
    Abrudan, Traian E, Kypris, Orfeas, Trigoni, Niki, and Markham, Andrew
    IEEE Access 2016
  7. RePWR: Wireless Power Transfer within Reinforced Concrete
    Wang, Zhihua, Kypris, Orfeas, and Markham, Andrew
    In Proceedings of the 4th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems 2016
  8. Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data
    Clark, Ronald, Wang, Sen, Wen, Hongkai, Trigoni, Niki, and Markham, Andrew
    In 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids) 2016
  9. System for providing information and associated devices
    Markham, Andrew, Trigoni, Niki, and Ven, Jean-Paul
    2016 US Patent 9,351,106

2015

  1. Robust indoor positioning with lifelong learning
    Xiao, Zhuoling, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    IEEE Journal on Selected Areas in Communications 2015
  2. Indoor tracking using undirected graphical models
    Xiao, Zhuoling, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    IEEE Transactions on Mobile Computing 2015
  3. A new Magneto-Inductive tracking technique to uncover subterranean activity: what do animals do underground?
    Noonan, Michael J, Markham, Andrew, Newman, Chris, Trigoni, Niki, Buesching, Christina D, Ellwood, Stephen A, and Macdonald, David W
    Methods in Ecology and Evolution 2015
  4. Distortion rejecting magneto-inductive three-dimensional localization (MagLoc)
    Abrudan, Traian E, Xiao, Zhuoling, Markham, Andrew, and Trigoni, Niki
    IEEE Journal on Selected Areas in Communications 2015
  5. Accurate positioning via cross-modality training
    Papaioannou, Savvas, Wen, Hongkai, Xiao, Zhuoling, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems 2015
  6. A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned
    Lymberopoulos, Dimitrios
    In IPSN 2015 2015
  7. Reducing magneto-inductive positioning errors in a metal-rich indoor environment
    Kypris, Orfeas, Abrudan, Traian E, and Markham, Andrew
    In 2015 IEEE SENSORS 2015
  8. Robust vision-based indoor localization
    Clark, Ronald, Trigoni, Niki, and Markham, Andrew
    In Proceedings of the 14th international conference on information processing in sensor networks 2015

2014

  1. Non-line-of-sight identification and mitigation using received signal strength
    Xiao, Zhuoling, Wen, Hongkai, Markham, Andrew, Trigoni, Niki, Blunsom, Phil, and Frolik, Jeff
    IEEE Transactions on Wireless Communications 2014
  2. Accuracy estimation for sensor systems
    Wen, Hongkai, Xiao, Zhuoling, Markham, Andrew, and Trigoni, Niki
    IEEE Transactions on Mobile Computing 2014
  3. Climate and the individual: inter-annual variation in the autumnal activity of the European badger (Meles meles)
    Noonan, Michael J, Markham, Andrew, Newman, Chris, Trigoni, Niki, Buesching, Christina D, Ellwood, Stephen A, and Macdonald, David W
    PLoS One 2014
  4. Does BTLE measure up against WiFi? A comparison of indoor location performance
    Zhao, Xiaojie, Xiao, Zhuoling, Markham, Andrew, Trigoni, Niki, and Ren, Yong
    In European Wireless 2014; 20th European Wireless Conference 2014
  5. Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement
    Xiao, Zhuoling, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    In 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2014
  6. Lightweight map matching for indoor localisation using conditional random fields
    Xiao, Zhuoling, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    In Proceedings of the 13th international symposium on Information processing in sensor networks 2014
  7. Fusion of radio and camera sensor data for accurate indoor positioning
    Papaioannou, Savvas, Wen, Hongkai, Markham, Andrew, and Trigoni, Niki
    In 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems 2014
  8. Poster: Wi-Fi sensors meet visual tracking for an accurate positioning system
    Markham, A, Papaioannou, S, and others,
    In European Conference on Wireless Sensor Networks 2014
  9. A Case for Magneto-Inductive Indoor Localization
    Abrudan, Traian E, Markham, Andrew, and Trigoni, Niki
    In The 11th European Conference on Wireless Sensor Networks 2014

2013

  1. Human interactive secure key and identity exchange protocols in body sensor networks
    Huang, Xin, Chen, Bangdao, Markham, Andrew, Wang, Qinghua, Yan, Zheng, and Roscoe, Andrew William
    IET Information Security 2013
  2. Identification and mitigation of non-line-of-sight conditions using received signal strength
    Xiao, Zhuoling, Wen, Hongkai, Markham, Andrew, Trigoni, Niki, Blunsom, Phil, and Frolik, Jeff
    In 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) 2013
  3. Comparison of accuracy estimation approaches for sensor networks
    Wen, Hongkai, Xiao, Zhuoling, Symington, Andrew C, Markham, Andrew, and Trigoni, Niki
    In 2013 IEEE International Conference on Distributed Computing in Sensor Systems 2013

2012

  1. Human interactive secure ID management in body sensor networks
    Huang, Xin, Ma, Xiao, Chen, Bangdao, Markham, Andrew, Wang, Qinghua, and Roscoe, A William
    Journal of Networks 2012
  2. WILDSENSING: Design and deployment of a sustainable sensor network for wildlife monitoring
    Dyo, Vladimir, Ellwood, Stephen A, Macdonald, David W, Markham, Andrew, Trigoni, Niki, Wohlers, Ricklef, Mascolo, Cecilia, Pásztor, Bence, Scellato, Salvatore, and Yousef, Kharsim
    ACM Transactions on Sensor Networks (TOSN) 2012
  3. Magneto-inductive networked rescue system (MINERS): taking sensor networks underground
    Markham, Andrew, and Trigoni, Niki
    In Proceedings of the 11th international conference on Information Processing in Sensor Networks 2012
  4. Characterization of non-line-of-sight (NLOS) bias via analysis of clutter topology
    Hussain, Muzammil, Aytar, Yusuf, Trigoni, Niki, and Markham, Andrew
    In Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium 2012

2011

  1. Underground localization in 3-D using magneto-inductive tracking
    Markham, Andrew, Trigoni, Niki, Macdonald, David W, and Ellwood, Stephen A
    IEEE Sensors Journal 2011
  2. Body sensor network key distribution using human interactive channels
    Huang, Xin, Wang, Qinghua, Bangdao, Chen, Markham, Andrew, Jäntti, Riku, and Roscoe, AW
    In Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies 2011

2010

  1. The automatic evolution of distributed controllers to configure sensor network operation
    Markham, Andrew, and Trigoni, Niki
    The Computer Journal 2010
  2. Revealing the hidden lives of underground animals using magneto-inductive tracking
    Markham, Andrew, Trigoni, Niki, Ellwood, Stephen A, and Macdonald, David W
    In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems 2010
  3. Magneto-inductive tracking of underground animals
    Markham, Andrew, Trigoni, Niki, Ellwood, Stephen A, and Macdonald, David W
    In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems 2010
  4. Effect of rainfall on link quality in an outdoor forest deployment
    Markham, Andrew, Trigoni, Niki, and Ellwood, Stephen
    In 2010 International Conference on Wireless Information Networks and Systems (WINSYS) 2010
  5. Discrete Gene Regulatory Networks (dGRNs): A novel approach to configuring sensor networks
    Markham, Andrew, and Trigoni, Niki
    In 2010 Proceedings IEEE INFOCOM 2010
  6. Evolution and sustainability of a wildlife monitoring sensor network
    Dyo, Vladimir, Ellwood, Stephen A, Macdonald, David W, Markham, Andrew, Mascolo, Cecilia, Pásztor, Bence, Scellato, Salvatore, Trigoni, Niki, Wohlers, Ricklef, and Yousef, Kharsim
    In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems 2010

2009

  1. Wildlife and environmental monitoring using RFID and WSN technology
    Dyo, Vladimir, Ellwood, Stephen A, Macdonald, David W, Markham, Andrew, Mascolo, Cecilia, Pásztor, Bence, Trigoni, Niki, and Wohlers, Ricklef
    In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems 2009

2008

    2007

      2006

      1. The adaptive social hierarchy: A self organizing network based on naturally occurring structures
        Markham, Andrew, and Wilkinson, Andrew
        In Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems 2006