Dr Peyman Moghadam
Adjunct Associate Professor
School of Electrical Engineering & Computer Science
Researcher biography
Peyman Moghadam is an Adjunct Associate Professor at the University of Queensland (UQ). He is a Principal Research Scientist at CSIRO Data61 as well as Professor (Adjunct) at the Queensland University of Technology (QUT). He leads the Embodied AI Research Cluster at CSIRO Data61, working at the intersection of Robotics and Machine learning. He is also the Spatiotemporal AI portfolio Leader at the CSIRO's Machine Learning and Artificial Intelligence (MLAI) Future Science Platform and oversees research and development of MLAI methods for scientific discovery in spatiotemporal data streams. In 2022, he served as a Visiting Professor at ETH Zürich. In 2019, he held a Visiting Scientist appointment at the University of Bonn. Peyman has led several large-scale multidisciplinary projects and won numerous awards, including CSIRO's Julius Career Award, National, and Queensland state iAward for Research and Development, CSIRO's Collaboration Medal and the Lord Mayor's Budding Entrepreneurs Award. His current research interests include self-supervised learning for robotics, embodied AI, 3D multi-modal perception (3D++), robotics, and computer vision.
Journal Articles
Pal, Shantanu, Khalifa, Sara, Miller, Dimity, Dedeoglu, Volkan, Dorri, Ali, Ramachandran, Gowri, Moghadam, Peyman, Kusy, Brano and Jurdak, Raja (2024). Uncertainty propagation in the internet of things. Discover Internet of Things, 4 (1) 32. doi: 10.1007/s43926-024-00085-2
Peng, Can, Koniusz, Piotr, Guo, Kaiyu, Lovell, Brian C. and Moghadam, Peyman (2024). Multivariate prototype representation for domain-generalized incremental learning. Computer Vision and Image Understanding, 249 104215, 104215. doi: 10.1016/j.cviu.2024.104215
Vidanapathirana, Kavisha, Knights, Joshua, Hausler, Stephen, Cox, Mark, Ramezani, Milad, Jooste, Jason, Griffiths, Ethan, Mohamed, Shaheer, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2024). WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. The International Journal of Robotics Research. doi: 10.1177/02783649241278369
Anand, Gaurangi, Koniusz, Piotr, Kumar, Anupama, Golding, Lisa A., Morgan, Matthew J. and Moghadam, Peyman (2024). Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE). Journal of Hazardous Materials, 472 134456. doi: 10.1016/j.jhazmat.2024.134456
Mohamed, Shaheer, Haghighat, Maryam, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2023). FactoFormer: factorized hyperspectral transformers with self-supervised pre-training. IEEE Transactions on Geoscience and Remote Sensing, 62 5501614, 1-1. doi: 10.1109/tgrs.2023.3343392
Ramezani, Milad, Wang, Liang, Knights, Joshua, Li, Zhibin, Pounds, Pauline and Moghadam, Peyman (2023). Pose-graph attentional graph neural network for lidar place recognition. IEEE Robotics and Automation Letters, 9 (2), 1182-1189. doi: 10.1109/lra.2023.3341766
Knights, Joshua, Hausler, Stephen, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2023). GeoAdapt: self-supervised test-time adaptation in LiDAR place recognition using geometric priors. IEEE Robotics and Automation Letters, PP (99) 3337698, 915-922. doi: 10.1109/lra.2023.3337698
Roy, Kaushik, Simon, Christian, Moghadam, Peyman and Harandi, Mehrtash (2023). CL3: generalization of contrastive loss for lifelong learning. Journal of Imaging, 9 (12) 259, 1-16. doi: 10.3390/jimaging9120259
Li, Zhibin, Koniusz, Piotr, Zhang, Lu, Pagendam, Daniel Edward and Moghadam, Peyman (2023). Exploiting field dependencies for learning on categorical data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (11), 13509-13522. doi: 10.1109/tpami.2023.3298028
Roy, Kaushik, Simon, Christian, Moghadam, Peyman and Harandi, Mehrtash (2023). Subspace distillation for continual learning. Neural Networks, 167, 65-79. doi: 10.1016/j.neunet.2023.07.047
Vidanapathirana, Kavisha, Moghadam, Peyman, Sridharan, Sridha and Fookes, Clinton (2023). Spectral geometric verification: re-ranking point cloud retrieval for metric localization. IEEE Robotics and Automation Letters, 8 (5), 2494-2501. doi: 10.1109/lra.2023.3255560
Guo, Yiqing, Mokany, Karel, Ong, Cindy, Moghadam, Peyman, Ferrier, Simon and Levick, Shaun R. (2023). Plant species richness prediction from DESIS hyperspectral data: a comparison study on feature extraction procedures and regression models. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 120-133. doi: 10.1016/j.isprsjprs.2022.12.028
Miller, Dimity, Moghadam, Peyman, Cox, Mark, Wildie, Matt and Jurdak, Raja (2022). What's in the black box? The false negative mechanisms inside object detectors. IEEE Robotics and Automation Letters, 7 (3), 1-8. doi: 10.1109/lra.2022.3187831
Borges, Paulo, Peynot, Thierry, Liang, Sisi, Arain, Bilal, Wildie, Matthew, Minareci, Melih, Lichman, Serge, Samvedi, Garima, Sa, Inkyu, Hudson, Nicolas, Milford, Michael, Moghadam, Peyman and Corke, Peter (2022). A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges. Field Robotics, 2 (1), 1567-1627. doi: 10.55417/fr.2022049
Park, Chanoh, Moghadam, Peyman, Williams, Jason, Kim, Soohwan, Sridharan, Sridha and Fookes, Clinton (2021). Elasticity meets continuous-time: map-centric dense 3D LiDAR SLAM. IEEE Transactions on Robotics, 38 (2), 978-997. doi: 10.1109/tro.2021.3096650
Lowe, Thomas, Moghadam, Peyman, Edwards, Everard and Williams, Jason (2021). Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM. Journal of Field Robotics, 38 (4) rob.22006, 598-618. doi: 10.1002/rob.22006
Ward, Daniel and Moghadam, Peyman (2020). Scalable learning for bridging the species gap in image-based plant phenotyping. Computer Vision and Image Understanding, 197-198 103009, 103009. doi: 10.1016/j.cviu.2020.103009
Park, Chanoh, Moghadam, Peyman, Kim, Soohwan, Sridharan, Sridha and Fookes, Clinton (2020). Spatiotemporal camera-LiDAR calibration: a targetless and structureless approach. IEEE Robotics and Automation Letters, 5 (2) 8968361, 1556-1563. doi: 10.1109/lra.2020.2969164
Stewart, Ian B., Moghadam, Peyman, Borg, David N., Kung, Terry, Sikka, Pavan and Minett, Geoffrey M. (2020). Thermal infrared imaging can differentiate skin temperature changes associated with intense single leg exercise, but not with delayed onset of muscle soreness. Journal of Sports Science and Medicine, 19 (3), 469-477.
Park, Chanoh, Kim, Soohwan, Moghadam, Peyman, Guo, Jiadong, Sridharan, Sridha and Fookes, Clinton (2019). Robust photogeometric localization over time for map-centric loop closure. IEEE Robotics and Automation Letters, 4 (2) 8626520, 1768-1775. doi: 10.1109/lra.2019.2895262
Moghadam, Peyman, Evans, Benjamin and Duff, Elliot (2016). SAGE: Semantic Annotation of Georeferenced Environments. Journal of Intelligent and Robotic Systems, 83 (3-4), 635-648. doi: 10.1007/s10846-015-0302-3
Vidas, Stephen, Moghadam, Peyman and Sridharan, Sridha (2015). Real-time mobile 3D temperature mapping. IEEE Sensors Journal , 15 (2), 1145-1152. doi: 10.1109/JSEN.2014.2360709
Vidas, Stephen and Moghadam, Peyman (2013). HeatWave: a handheld 3D thermography system for energy auditing. Energy and Buildings, 66, 445-460. doi: 10.1016/j.enbuild.2013.07.030
Moghadam, Peyman, Starzyk, Janusz A. and Wijesoma, W. S. (2012). Fast Vanishing-Point Detection in Unstructured Environments. IEEE Transactions On Image Processing, 21 (1), 425-430. doi: 10.1109/tip.2011.2162422
Conference Papers
Hausler, Stephen, Hall, David, Mahendren, Sutharsan and Moghadam, Peyman (2024). Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13-17 May 2024. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra57147.2024.10610982
Yang, Bin, Pfreundschuhl, Patrick, Siegwartl, Roland, Hutter, Marco, Moghadam, Peyman and Patil, Vaishakh (2024). TULIP: transformer for upsampling of LiDAR point clouds. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, United States, 16-22 June 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/CVPR52733.2024.01454
Ramezani, Milad, Griffiths, Ethan, Haghighat, Maryam, Pitt, Alex and Moghadam, Peyman (2023). Deep robust multi-robot re-localisation in natural environments. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI United States, 1 - 5 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros55552.2023.10341798
Mason, Keita, Knights, Joshua, Ramezani, Milad, Moghadam, Peyman and Miller, Dimity (2023). Uncertainty-aware lidar place recognition in novel environments. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI United States, 1 - 5 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros55552.2023.10341383
Senaratne, Hashini, Pitt, Alex, Talbot, Fletcher, Moghadam, Peyman, Sikka, Pavan, Howard, David, Williams, Jason, Kulić, Dana and Paris, Cécile (2023). Measuring situational awareness latency in human-robot teaming experiments. 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, South Korea, 28-31 August 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ro-man57019.2023.10309377
Rahman, Saimunur, Koniusz, Piotr, Wang, Lei, Zhou, Luping, Moghadam, Peyman and Sun, Changming (2023). Learning partial correlation based deep visual representation for image classification. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC Canada, 17-24 June 2023. Washington, DC United States: IEEE Computer Society. doi: 10.1109/cvpr52729.2023.00603
Knights, Joshua, Vidanapathirana, Kavisha, Ramezani, Milad, Sridharan, Sridha, Fookes, Clinton and Moghadam, Peyman (2023). Wild-places: a large-scale dataset for lidar place recognition in unstructured natural environments. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May - 2 June 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48891.2023.10160432
Roy, Kaushik, Moghadam, Peyman and Harandi, Mehrtash (2023). L3DMC: Lifelong learning using distillation via mixed-curvature space. MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, 8–12 October 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-43895-0_12
Mahmoodi, Leila, Harandi, Mehrtash and Moghadam, Peyman (2023). Flashback for continual learning. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2-6 October 2023. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICCVW60793.2023.00368
Knights, Joshua, Moghadam, Peyman, Ramezani, Milad, Sridharan, Sridha and Fookes, Clinton (2022). InCloud: incremental learning for point cloud place recognition. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros47612.2022.9981252
Li, Yang, Liu, Jiajun, Kusy, Brano, Marchant, Ross, Do, Brendan, Merz, Torsten, Crosswell, Joey, Steven, Andy, Tychsen-Smith, Lachlan, Ahmedt-Aristizabal, David, Oorloff, Jeremy, Moghadam, Peyman, Babcock, Russ, Malpani, Megha and Oerlemans, Ard (2022). A real-time edge-AI system for reef surveys. ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW Australia, 17-21 October 2022. New York, NY, USA: ACM. doi: 10.1145/3495243.3558278
Vidanapathirana, Kavisha, Ramezani, Milad, Moghadam, Peyman, Sridharan, Sridha and Fookes, Clinton (2022). LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA United States, 23-27 May 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icra46639.2022.9811753
Miller, Dimity, Goode, Georgia, Bennie, Callum, Moghadam, Peyman and Jurdak, Raja (2022). Why object detectors fail: investigating the influence of the dataset. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New Orleans, LA, United States, 19-20 June 2022. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/CVPRW56347.2022.00529
Mahendren, Sutharsan, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman and Fookes, Clinton (2021). Reduction of Feature Contamination for Hyper Spectral Image Classification. 2021 Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD Australia, 29 November - 1 December 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta52665.2021.9647153
Vidanapathirana, Kavisha, Moghadam, Peyman, Harwood, Ben, Zhao, Muming, Sridharan, Sridha and Fookes, Clinton (2021). Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 30 May - 5 June 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/icra48506.2021.9560915
Knights, Joshua, Harwood, Ben, Ward, Daniel, Vanderkop, Anthony, Mackenzie-Ross, Olivia and Moghadam, Peyman (2021). Temporally coherent embeddings for self-supervised video representation learning. International Conference on Pattern Recognition (ICPR), Milan, Italy, 10-15 January 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icpr48806.2021.9412071
Knights, Joshua, Moghadam, Peyman, Fookes, Clinton and Sridharan, Sridha (2021). Point cloud segmentation using sparse temporal local attention. Australasian Conference on Robotics and Automation (ACRA 2021), Online, 6-8 December 2021. Sydney, NSW, Australia: Australasian Robotics and Automation Association.
Raine, Scarlett, Marchant, Ross, Moghadam, Peyman, Maire, Frederic, Kettle, Brett and Kusy, Brano (2020). Multi-species Seagrass Detection and Classification from Underwater Images. 2020 Digital Image Computing: Techniques and Applications (DICTA), Melbourne, VIC Australia, 29 November - 2 December 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta51227.2020.9363371
Moghadam, Peyman, Lowe, Thomas and Edwards, Everard (2020). Digital Twin for the Future of Orchard Production Systems. The Third International Tropical Agriculture Conference TropAg 2019 , Brisbane, QLD Australia, 11-13 November 2019. Basel, Switzerland: MDPI. doi: 10.3390/proceedings2019036092
Edwards, Everard and Moghadam, Peyman (2020). Intelligent Systems for Commercial Application in Perennial Horticulture. The Third International Tropical Agriculture Conference TropAg 2019 , Brisbane, QLD Australia, 11-13 November 2019. Basel, Switzerland: MDPI. doi: 10.3390/proceedings2019036059
Ward, Daniel, Moghadam, Peyman and Hudson, Nicolas (2019). Deep leaf segmentation using synthetic data. British Machine Vision Conference 2018, BMVC 2018, Newcastle, United Kingdom, 3 - 6 September 2018. BMVA Press.
Park, Chanoh, Moghadam, Peyman, Kim, Soohwan, Elfes, Alberto, Fookes, Clinton and Sridharan, Sridha (2018). Elastic LiDAR fusion: Dense map-centric continuous-time SLAM. 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, Australia, 21-25 May 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/icra.2018.8462915
Elanattil, Shafeeq, Moghadam, Peyman, Denman, Simon, Sridharan, Sridha and Fookes, Clinton (2018). Skeleton driven non-rigid motion tracking and 3D reconstruction. 2018 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2018), Canberra, Australia, 10-13 December, 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/dicta.2018.8615797
Elanattil, Shafeeq, Moghadam, Peyman, Sridharan, Sridha, Fookes, Clinton and Cox, Mark (2018). Non-rigid reconstruction with a single moving RGB-D camera. 24th International Conference on Pattern Recognition (ICPR), Beijing, China, 20-24 August, 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/icpr.2018.8546201
Moghadam, Peyman, Ward, Daniel, Goan, Ethan, Jayawardena, Srimal, Sikka, Pavan and Hernandez, Emili (2017). Plant disease detection using hyperspectral imaging. 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW Australia, 29 November - 1 December 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2017.8227476
Moghadam, Peyman, Ward, Daniel, Goan, Ethan, Jayawardena, Srimal, Sikka, Pavan and Hernandez, Emili (2017). Plant disease detection using hyperspectral imaging. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Sydney, Australia, 29 November - 1 December 2017. New York, NY, United States: IEEE.
Park, Chanoh, Kim, Soohwan, Moghadam, Peyman, Fookes, Clinton and Sridharan, Sridha (2017). Probabilistic surfel fusion for dense LiDAR mapping. 16th IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 22-29 October 2017. New York, NY, United States: Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ICCVW.2017.285
Hoerger, Marcus, Kottege, Navinda, Bandyopadhyay, Tirthankar, Elfes, Alberto and Moghadam, Peyman (2016). Real-Time Stabilisation for Hexapod Robots. 14th International Symposium on Experimental Robotics (ISER), Morocco, 15-18 June 2014 . Heidelberg, Bermany: Springer. doi: 10.1007/978-3-319-23778-7_48
Williamson, Dylan, Kottege, Navinda and Moghadam, Peyman (2016). Terrain characterisation and gait adaptation by a hexapod robot. Australasian Conference on Robotics and Automation, ACRA, Brisbane, Australia, 5-7 December 2016. Australasian Robotics and Automation Association.
Moghadam, Peyman (2015). 3D medical thermography device. SPIE Conference on Thermosense - Thermal Infrared Applications XXXVII, Baltimore, MD, United States, 20-23 April, 2015. Bellingham, WA, United States: S P I E - International Society for Optical Engineering. doi: 10.1117/12.2177880
Kottege, Navinda, Parkinson, Callum, Moghadam, Peyman, Elfes, Alberto and Singh, Surya P.N (2015). Energetics-informed hexapod gait transitions across terrains. 2015 IEEE International Conference on Robotics and Automation, ICRA 2015, Washington State Convention Center Seattle, Washington, United States, 26-30 May 2015. Piscataway NJ United States: Institute of Electrical and Electronics Engineers ( IEEE ). doi: 10.1109/ICRA.2015.7139915
Cunningham-Nelson, Samuel, Moghadam, Peyman, Roberts, Jonathan and Elfes, Alberto (2015). Coverage-based next best view selection. Australasian Conference on Robotics and Automation, ACRA, Canberra, Australia, 2-4 December 2015. Australasian Robotics and Automation Association.
Borges, Paulo Vinicius Koerich and Moghadam, Peyman (2014). Combining motion and appearance for scene segmentation. 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, 31 May - 7 June. NEW YORK: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICRA.2014.6906980
Moghadam, Peyman, Vidas, Stephen and Lam, Obadiah (2014). Spectra: 3D multispectral fusion and visualization toolkit. Australasian Conference on Robotics and Automation, ACRA, Melbourne, Australia, 2-4 December 2014. Australasian Robotics and Automation Association.
Best, Graeme and Moghadam, Peyman (2014). An evaluation of multi-modal user interface elements for tablet-based robot teleoperation. Australasian Conference on Robotics and Automation, ACRA, Melbourne, Australia, 2-4 December 2014. Australasian Robotics and Automation Association.
Roshandel, Mehran, Munjal, Aarti, Moghadam, Peyman, Tajik, Shahin and Ketabdar, Hamed (2014). Multi-sensor finger ring for authentication based on 3D signatures. 16th International Conference on Human-Computer Interaction (HCI), Heraklion, Greece, 22 - 27 June 2014. Berlin, Germany: Springer-Verlag Berlin.
Moghadam, Peyman and Vidas, Stephen (2014). HeatWave: the next generation of thermography devices. Conference on Thermosense - Thermal Infrared Applications XXXVI, Baltimore, MD, United States, 5-7 May, 2014. Bellingham, WA, United States: S P I E - International Society for Optical Engineering. doi: 10.1117/12.2053950
Roshandel, Mehran, Munjal, Aarti, Moghadam, Peyman, Tajik, Shahin and Ketabdar, Hamed (2014). Multi-sensor based gestures recognition with a smart finger ring. 16th International Conference on Human-Computer Interaction (HCI), Heraklion, Greece, 22-27 June, 2014. Heidelberg, Germany: Springer.
Vidas, Stephen, Moghadam, Peyman and Bosse, Michael (2013). 3D thermal mapping of building interiors using an RGB-D and thermal camera. 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 6-10 May 2013. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra.2013.6630890
Best, Graeme, Moghadam, Peyman, Kottege, Navinda and Kleeman, Lindsay (2013). Terrain classification using a hexapod robot. Australasian Conference on Robotics and Automation, ACRA , Sydney, Australia, 2-4 December 2013. Australasian Robotics and Automation Association.
Moghadam, Peyman, Bosse, Michael and Zlot, Robert (2013). Line-based extrinsic calibration of range and image sensors. 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 6-10 May 2013. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra.2013.6631095
Vidas, Stephen and Moghadam, Peyman (2013). Ad hoc radiometric calibration of a thermal-infrared camera. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Hobart, Australia, 26-28 November, 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/dicta.2013.6691478
Ketabdar, Hamed, Moghadam, Peyman, Naderi, Babak and Roshandel, Mehran (2012). Magnetic signatures in air for mobile devices. 14th ACM International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '12), San Francisco, CA, United States, 21-24 September 2012. New York, NY, United States: ACM Press. doi: 10.1145/2371664.2371705
Moghadam, Peyman and Dong, Jun Feng (2012). Road direction detection based on vanishing-point tracking. 25th IEEE\RSJ International Conference on Intelligent Robots and Systems (IROS), Algarve, Portugal, 7-12 October, 2012. Piscataway, NJ, United States: IEEE. doi: 10.1109/iros.2012.6386089
Shirazi, Alireza Sahami, Moghadam, Peyman, Ketabdar, Hamed and Schmidt, Albrecht (2012). Assessing the vulnerability of magnetic gestural authentication to video-based shoulder surfing attacks. 30th ACM Conference on Human Factors in Computing Systems, CHI 2012, Austin, TX, United States, 5 - 10 May 2012. New York, NY, USA: ACM. doi: 10.1145/2207676.2208352
Ketabdar, Hamed, Chang, Hengwei, Moghadam, Peyman, Roshandel, Mehran and Naderi, Babak (2012). Magi guitar: a guitar that is played in air!. 14th ACM International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI), San Francisco, CA, United States, 21 - 24 September 2012. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2371664.2371704
Ketabdar, Hamed, Moghadam, Peyman and Roshandel, Mehran (2012). Pingu: a new miniature wearable device for ubiquitous computing environments. Sixth International Conference on Complex, Intelligent, and Software Intensive Systems , Palermo, Italy, 4-6 July 2012. doi: 10.1109/cisis.2012.123
Moghadam, Peyman, Salehi, Saba and Wijesoma, Wijerupage Sardha (2011). Computationally efficient navigation system for unmanned ground vehicles. 2011 IEEE Conference on Technologies for Practical Robot Applications, Woburn, MA, United States, 11-12 April 2011. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/tepra.2011.5753495
Moratuwage, M. D. P., Wijesoma, W. S., Kalyan, B., Patrikalakis, Nicholas M. and Moghadam, Peyman (2010). Collaborative Multi-Vehicle Localization and Mapping in High Clutter Environments. 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), Singapore Singapore, Dec 07-10, 2010. NEW YORK: IEEE.
Moghadam, Peyman, Wijesoma, Wijerupage Sardha and Moratuwage, M. D. P. (2010). Towards A Fully-Autonomous Vision-based Vehicle Navigation System in Outdoor Environments. 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), Singapore Singapore, Dec 07-10, 2010. NEW YORK: IEEE.
Moghadam, Peyman and Wijesoma, Wijerupage Sardha (2009). Online, Self-Supervised Vision-Based Terrain Classification in Unstructured Environments. IEEE International Conference on Systems, Man and Cybernetics, San Antonio Tx, Oct 11-14, 2009. NEW YORK: IEEE. doi: 10.1109/ICSMC.2009.5345942
Moghadam, Peyman, Wijesorna, Wijerupage Sardha and Feng, Dong Jun (2008). Improving Path Planning and Mapping Based on Stereo Vision and Lidar. 10th International Conference on Control, Automation, Robotics and Vision, Hanoi Vietnam, Dec 17-20, 2008. NEW YORK: IEEE. doi: 10.1109/ICARCV.2008.4795550