Michele Sasdelli
Postdoctoral Research Fellow
Australian Institute for Machine Learning - Projects
Faculty of Sciences, Engineering and Technology
My research focus is quantum computing for machine learning and computer vision and learning theory for deep
learning. Over the years I explored a number of different fields. I have expertise in computer vision, machine
learning, deep learning, MC simulations, astrophysics, spectroscopy, radiative transfer. My last years
have been devoted to quantum machine learning.
Please visit the homepage of QML research lab for more information.
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Journals
Year Citation 2023 Yang, F. F., Sasdelli, M., & Chin, T. -J. (2023). Training Multilayer Perceptrons by Sampling with Quantum Annealers. 2022 Chng, C. -K., Sasdelli, M., & Chin, T. -J. (2022). Globally optimal shape and spin pole determination with lightcurve inversion. Monthly Notices of the Royal Astronomical Society, 513(1), 311-332.
2021 Du, A., Law, Y. W., Sasdelli, M., Chen, B., Clarke, K., Brown, M., & Chin, T. -J. (2021). Adversarial Attacks against a Satellite-borne Multispectral Cloud
Detector.2021 Santiago, C., Barata, C., Sasdelli, M., Carneiro, G., & Nascimento, J. C. (2021). LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognition, 110, 1-12.
Scopus23 WoS112021 Barna, B., Pereira, T., Taubenberger, S., Magee, M., Kromer, M., Kerzendorf, W., . . . Hillebrandt, W. (2021). ASASSN-14lp: two possible solutions for the observed ultraviolet suppression. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 506(1), 415-431.
Scopus4 WoS12020 Osborn, H. P., Ansdell, M., Ioannou, Y., Sasdelli, M., Angerhausen, D., Caldwell, D., . . . Smith, J. C. (2020). Rapid classification of TESS planet candidates with convolutional neural networks. Astronomy and Astrophysics, 633, A53-1-A53-11.
Scopus34 WoS262019 Felix, R., Harwood, B., Sasdelli, M., & Carneiro, G. (2019). Generalised zero-shot learning with a classifier ensemble over multi-modal embedding spaces. arXiv, abs/1908.02013, 1-9. 2019 Felix, R., Sasdelli, M., Reid, I. D., & Carneiro, G. (2019). Multi-modal Ensemble Classification for Generalized Zero Shot Learning.. CoRR, abs/1901.04623. 2018 Zakizadeh, R., Qian, Y., Sasdelli, M., & Vazquez, E. (2018). Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition.. CoRR, abs/1811.02949. 2018 Ansdell, M., Ioannou, Y., Osborn, H. P., Sasdelli, M., Smith, J. C., Caldwell, D., . . . Angerhausen, D. (2018). Scientific domain knowledge improves exoplanet transit classification with deep learning. Astrophysical Journal Letters, 869(1), L7-1-L7-7.
Scopus54 WoS452018 Zakizadeh, R., Sasdelli, M., Qian, Y., & Vazquez, E. (2018). FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images.. CoRR, abs/1806.07124. 2018 Zakizadeh, R., Sasdelli, M., Qian, Y., & Vazquez, E. (2018). Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition.. CoRR, abs/1807.11674. 2018 Bay, A., Sidiropoulos, P., Vazquez, E., & Sasdelli, M. (2018). Hide and Seek tracker: Real-time recovery from target loss.. CoRR, abs/1806.07844. 2017 Sengupta, B., Vazquez, E., Sasdelli, M., Qian, Y., Peniak, M., Netherton, L., & Delfino, G. (2017). Large-scale image analysis using docker sandboxing.. CoRR, abs/1703.02898. 2017 Qian, Y., Giaccone, P., Sasdelli, M., Vasquez, E., & Sengupta, B. (2017). Algorithmic clothing: hybrid recommendation, from street-style-to-shop.. CoRR, abs/1705.09451. 2017 Sasdelli, M., Hillebrandt, W., Kromer, M., Ishida, E., Röpke, F., Sim, S., . . . Fink, M. (2017). A metric space for type Ia supernova spectra: A new method to assess explosion scenarios. Monthly Notices of the Royal Astronomical Society, 464(4), 3784-3809.
Scopus3 WoS42016 Zhang, J. J., Wang, X. F., Sasdelli, M., Zhang, T. M., Liu, Z. W., Mazzali, P. A., . . . Bai, J. M. (2016). A luminous peculiar Type Ia supernova SN 2011hr: more like SN 1991T or SN 2007if?. Astrophysical Journal, 817(2), 114-1-114-13.
Scopus18 WoS72016 Ashall, C., Mazzali, P., Sasdelli, M., & Prentice, S. (2016). Luminosity distributions of Type Ia supernovae. Monthly Notices of the Royal Astronomical Society, 460(4), 3529-3544.
Scopus41 WoS352016 Sasdelli, M., Ishida, E. E. O., Hillebrandt, W., Ashall, C., Mazzali, P. A., & Prentice, S. J. (2016). Breaking the colour-reddening degeneracy in type Ia supernovae. Monthly Notices of the Royal Astronomical Society, 460(1), 373-382.
Scopus12 WoS112016 Sasdelli, M., Ishida, E. E. O., Vilalta, R., Aguena, M., Busti, V. C., Camacho, H., . . . Mazzali, P. A. (2016). Exploring the spectroscopic diversity of Type Ia supernovae with dracula: A machine learning approach. Monthly Notices of the Royal Astronomical Society, 461(2), 2044-2059.
Scopus25 WoS232015 Sasdelli, M., Hillebrandt, W., Aldering, G., Antilogus, P., Aragon, C., Bailey, S., . . . Weaver, B. (2015). A metric space for Type Ia supernova spectra. Monthly Notices of the Royal Astronomical Society, 447(2), 1247-1266.
Scopus18 WoS162014 Sasdelli, M., Mazzali, P., Pian, E., Nomoto, K., Hachinger, S., Cappellaro, E., & Benetti, S. (2014). Abundance stratification in type Ia supernovae - IV. The luminous, peculiar SN 1991T. Monthly Notices of the Royal Astronomical Society, 445(1), 711-725.
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Book Chapters
Year Citation 2025 Yang, F. F., Sasdelli, M., & Chin, T. J. (2025). Robust Fitting on a Gate Quantum Computer. In S. Roth, O. Russakovsky, T. Sattler, G. Varol, A. Leonardis, & E. Ricci (Eds.), Lecture Notes in Computer Science (Vol. 15059 LNCS, pp. 120-138). SPRINGER INTERNATIONAL PUBLISHING AG.
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Conference Papers
Year Citation 2022 Snaauw, G., Sasdelli, M., Maicas, G., Lau, S., Verjans, J., Jenkinson, M., & Carneiro, G. (2022). Mutual information neural estimation for unsupervised multi-modal registration of brain images. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Vol. 2022-July (pp. 3510-3513). Online: IEEE.
DOI Scopus32022 Doan, A. D., Sasdelli, M., Suter, D., & Chin, T. J. (2022). A Hybrid Quantum-Classical Algorithm for Robust Fitting. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2022) Vol. 2022-June (pp. 417-427). Online: IEEE.
DOI Scopus21 WoS12022 Du, A., Chen, B., Chin, T. J., Law, Y. W., Sasdelli, M., Raja Segaran, R., & Campbell, D. (2022). Physical Adversarial Attacks on an Aerial Imagery Object Detector. In Proceedings 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022) (pp. 3798-3808). Online: IEEE.
DOI Scopus40 WoS62022 McLeod, C. R., & Sasdelli, M. (2022). Benchmarking D-Wave Quantum Annealers: Spectral Gap Scaling of Maximum Cardinality Matching Problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13353 LNCS (pp. 150-163). Online: Springer International Publishing.
DOI Scopus32021 Sasdelli, M., Ajanthan, T., Chin, T. J., & Carneiro, G. (2021). A Chaos Theory Approach to Understand Neural Network Optimization. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2021) (pp. 1-10). online: IEEE.
DOI Scopus12021 Sasdelli, M., & Chin, T. J. (2021). Quantum Annealing Formulation for Binary Neural Networks. In 2021 Digital Image Computing: Techniques and Applications (DICTA) Vol. abs/2107.02751 (pp. 1-10). online: IEEE.
DOI Scopus9 WoS12020 Felix Alves, R., Sasdelli, M., Reid, I. D., & Carneiro, G. (2020). Augmentation network for generalised zero-shot learning. In H. Ishikawa, C. -L. Liu, T. Pajdla, & J. Shi (Eds.), Proceedings of the 15th Asian Conference on Computer Vision (ACCV 2020), as published in Lecture Notes in Computer Science Vol. 12625 (pp. 442-458). Cham, Switzerland: Springer.
DOI Scopus12020 Felix, R., Sasdelli, M., Harwood, B., & Carneiro, G. (2020). Generalised Zero-shot Learning with Multi-modal Embedding Spaces. In Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2020) (pp. 1-8). online: IEEE.
DOI2019 Ansdell, M., Ioannou, Y., Osborn, H., Sasdelli, M., Smith, J., Caldwell, D., . . . Angerhausen, D. (2019). Automatic Classification of Transiting Planet Candidates using Deep Learning. In P. Teuben, M. Pound, B. Thomas, & E. Warner (Eds.), ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS XXVIII Vol. 523 (pp. 59-62). online: Astronomical Soc Pacific. 2019 Felix Alves, R., Harwood, B., Sasdelli, M., & Carneiro, G. (2019). Generalised zero-shot learning with domain classification in a joint semantic and visual space. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2019) (pp. 1-8). online: IEEE.
DOI Scopus8 WoS72019 Zakizadeh, R., Qian, Y., Sasdelli, M., & Vazquez, E. (2019). Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition. In Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018 (pp. 442-448). online: IEEE.
DOI2019 Bay, A., Sidiropoulos, P., Vazquez, E., & Sasdelli, M. (2019). Real-time tracker with fast recovery from target loss. In Proceedings of the IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP 2019) Vol. 2019-May (pp. 1932-1936). Piscataway, NJ: IEEE.
DOI Scopus1 WoS12016 Ishida, E., Sasdelli, M., Vilalta, R., Aguena, M., Busti, V., Camacho, H., . . . Mazzali, P. (2016). Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. In M. Brescia, S. G. Djorgovski, E. D. Feigelson, G. Longo, & S. Cavuoti (Eds.), Proceedings of the International Astronomical Union Vol. 12 (pp. 247-252). Online: Cambridge University Press.
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2022 Principal Supervisor Optimizing binary classification over entangled states by quantum machine learning Master of Philosophy Master Full Time Mr Sicheng Jian 2021 Principal Supervisor Realisation of Deep Learning Algorithms and Computer Vision on Quantum Computers Doctor of Philosophy Doctorate Full Time Ms Fengyi Yang -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2019 - 2019 Co-Supervisor Efficient Deep Learning Models with Autoencoder Regularization and Information Bottleneck Compression Master of Philosophy Master Full Time Mr Jerome Oskar Williams 2018 - 2020 Co-Supervisor Data Augmentation for Multi-domain and Multi-model Generalised Zero-shot Learning Doctor of Philosophy Doctorate Full Time Dr Rafael Felix Alves
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