Dr Seid Miad Zandavi
Postdoctoral Fellow

Dr Seid Miad Zandavi

Science
School of Biotech & Biomolecular Science
​​​​​Professional Experience:
  • 2021 - Present: Research Fellow, Department of Pediatrics, Harvard Medical School, and Broad Institute of MIT and Harvard, Cambridge, MA, USA
  • 2021 - Present: Adjunct Lecturer, School of Biotechnology and Biomolecular Sciences (BABS), UNSW Sydney
  • 2020 - 2021: Postdoctoral Research Associate, School of Biotechnology and Biomolecular Sciences (BABS), UNSW Sydney
  • 2017 - 2020: PhD Computer Science, Artificial Intelligence (AI), University of Sydney

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Brief Bio and Research Contribution:

Seid Miad Zandavi received his Ph.D. degree in various Machine Learning and AI applications from the School of Computer Science, the University of Sydney, Sydney, Australia, in Oct 2020. He is currently a postdoctoral research fellow at Harvard Medical School, and the Division of Genetics and Genomics at Boston Children’s Hospital, and Broad Institute of MIT and Harvard. Prior to join Harvard University, Miad was a Postodctoral Research Associate in computational biology at AI-Empowered Biomedicine Laboratory (VafaeeLab). He is also an Adjunct Lecturer with the Faculty of Science, the University of New South Wales, Sydney. Miad’s current research interests are to develop a model estimating a target gene effect perturbation inferred by GWAS, and model gene networks from phenotype associations to elucidate a disease description as a collection of dysfunctional biological pathways. 

I developed an AI-model in the diagnosis of one of the world’s most pressing health problems, liver cancer in a highly collaborative environment conducted among scientists in cancer informatics and integrative computational biology as well as in close collaboration with clinicians and experimentalists. As a member of AI-enhanced Biomedicine Laboratory, I am focusig to develope advanced machine-learning methods and deep-learning models that leverage large omics data to find hidden structures within them, account for complex interactions among the measurements, integrate heterogeneous data and make accurate predictions in different biomedical applications ranging from multi-omics biomarker discovery to single-cell sequencing analytics. 

Miad has a strong track record of multidisciplinary research. His research has attracted >$4M through several projects: Medical Research Future Fund (MRFF, 2020-2021) and Cellular Genomics Future Institute (2019). He has co-authored over 30 publications (70%first/corresponding author) in prestigious venues—e.g., Nucleic Acid Research, IEEE Transaction on Cybernetics, etc., —demonstrating his substantive contribution to methodological changes. 

  • Book Chapters | 2019
    Hu Z; Chung YY; Zandavi SM; Ouyang W; He X; Gao Y, 2019, 'High-Performance Light Field Reconstruction with Channel-wise and SAI-wise Attention', in Communications in Computer and Information Science, Springer International Publishing, pp. 118 - 126, http://dx.doi.org/10.1007/978-3-030-36802-9_14
    Book Chapters | 2017
    Lu Z; Chung YY; Yeung HWF; Zandavi SM; Zhi W; Yeh WC, 2017, 'Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence', in Neural Information Processing, Springer International Publishing, pp. 21 - 30, http://dx.doi.org/10.1007/978-3-319-70093-9_3
    Book Chapters | 2017
    Zandavi SM; Sha F; Chung V; Lu Z; Zhi W, 2017, 'A Novel Ant Colony Detection Using Multi-Region Histogram for Object Tracking', in Neural Information Processing, Springer International Publishing, pp. 25 - 33, http://dx.doi.org/10.1007/978-3-319-70090-8_3
    Book Chapters | 2017
    Zhi W; Chen Z; Yueng HWF; Lu Z; Zandavi SM; Chung YY, 2017, 'Layer Removal for Transfer Learning with Deep Convolutional Neural Networks', in Neural Information Processing, Springer International Publishing, pp. 460 - 469, http://dx.doi.org/10.1007/978-3-319-70096-0_48
    Book Chapters | 2017
    Zhi W; Yueng HWF; Chen Z; Zandavi SM; Lu Z; Chung YY, 2017, 'Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images', in Neural Information Processing, Springer International Publishing, pp. 669 - 676, http://dx.doi.org/10.1007/978-3-319-70093-9_71
  • Journal articles | 2022
    Anaissi A; Zandavi SM; Suleiman B; Naji M; Braytee A, 2022, 'Multi-objective variational autoencoder: an application for smart infrastructure maintenance', Applied Intelligence, http://dx.doi.org/10.1007/s10489-022-04163-2
    Journal articles | 2022
    Zandavi SM; Chung V; Anaissi A, 2022, 'Accelerated Control Using Stochastic Dual Simplex Algorithm and Genetic Filter for Drone Application', IEEE Transactions on Aerospace and Electronic Systems, vol. 58, pp. 2180 - 2191, http://dx.doi.org/10.1109/TAES.2021.3134751
    Journal articles | 2022
    Zandavi SM; Koch FC; Vijayan A; Zanini F; Mora FV; Ortega DG; Vafaee F, 2022, 'Disentangling single-cell omics representation with a power spectral density-based feature extraction', Nucleic Acids Research, vol. 50, pp. 5482 - 5492, http://dx.doi.org/10.1093/nar/gkac436
    Journal articles | 2021
    Anaissi A; Suleiman B; Zandavi SM, 2021, 'Online Tensor-Based Learning Model for Structural Damage Detection', ACM Transactions on Knowledge Discovery from Data, vol. 15, http://dx.doi.org/10.1145/3451217
    Journal articles | 2021
    Zandavi SM; Chung V; Anaissi A, 2021, 'Multi-user Remote Lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm', ACM/IMS Transactions on Data Science, vol. 2, pp. 1 - 13, http://dx.doi.org/10.1145/3437260
    Journal articles | 2021
    Zandavi SM; Chung VYY; Anaissi A, 2021, 'Stochastic Dual Simplex Algorithm: A Novel Heuristic Optimization Algorithm', IEEE Transactions on Cybernetics, vol. 51, pp. 2725 - 2734, http://dx.doi.org/10.1109/TCYB.2019.2931288
    Journal articles | 2021
    Zandavi SM; Rashidi TH; Vafaee F, 2021, 'Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty', IEEE Transactions on Cybernetics, pp. 1 - 13, http://dx.doi.org/10.1109/TCYB.2021.3120967
    Journal articles | 2020
    Mehrgardt P; Zandavi SM; Poon SK; Kim J; Markoulli M; Khushi M, 2020, 'U-net segmented adjacent angle detection (Usaad) for automatic analysis of corneal nerve structures', Data, vol. 5, http://dx.doi.org/10.3390/data5020037
    Journal articles | 2019
    Sha F; Zandavi SM; Chung YY, 2019, 'Fast deep parallel residual network for accurate super resolution image processing', Expert Systems with Applications, vol. 128, pp. 157 - 168, http://dx.doi.org/10.1016/j.eswa.2019.03.032
    Journal articles | 2019
    Zandavi SM; Chung V, 2019, 'State estimation of nonlinear dynamic system using novel heuristic filter based on genetic algorithm', Soft Computing, vol. 23, pp. 5559 - 5570, http://dx.doi.org/10.1007/s00500-018-3213-y
    Journal articles | 2019
    Zandavi SM; Pourmirzaagha H; Sendi AY; Toosi ES; Zakariapour M, 2019, 'The Urban Path Routing Adjustable Optimization by Means of Wavelet Transform and Multistage Genetic Algorithm', Journal of Applied and Computational Mechanics, vol. 5, pp. 696 - 703, http://dx.doi.org/10.22055/jacm.2019.27219.1384
    Journal articles | 2018
    Zandavi SM; Pourtakdoust SH, 2018, 'Multidisciplinary design of a guided flying vehicle using simplex nondominated sorting genetic algorithm II', Structural and Multidisciplinary Optimization, vol. 57, pp. 705 - 720, http://dx.doi.org/10.1007/s00158-017-1776-3
    Journal articles | 2017
    Zandavi SM, 2017, 'Surface-to-air missile path planning using genetic and PSO algorithms', Journal of Theoretical and Applied Mechanics, pp. 801 - 801, http://dx.doi.org/10.15632/jtam-pl.55.3.801
    Journal articles | 2016
    Nobahari H; Zandavi SM; Mohammadkarimi H, 2016, 'Simplex filter: A novel heuristic filter for nonlinear systems state estimation', Applied Soft Computing, vol. 49, pp. 474 - 484, http://dx.doi.org/10.1016/j.asoc.2016.08.008
    Journal articles | 2016
    Pourtakdoust SH; Zandavi SM, 2016, 'A Hybrid Simplex Non-dominated Sorting Genetic Algorithm for Multi- Objective Optimization', International Journal of Swarm Intelligence and Evolutionary Computation, vol. 05, http://dx.doi.org/10.4172/2090-4908.1000138
  • Working Papers | 2021
    Vafaee F, 2021, Disentangling single-cell omics representation with a power spectral density-based feature extraction, http://dx.doi.org10.1101/2021.10.25.465657
  • Preprints | 2022
    Khazaal A; Zandavi SM; Smolnikov A; Fatima S; Vafaee F, 2022, Pan-cancer Analyses reveal functional similarities of three lncRNAs across multiple tumors, http://dx.doi.org/10.1101/2022.03.14.22272396
    Preprints | 2022
    Zandavi SM; Liu D; Chung V; Anaissi A; Vafaee F, 2022, Fotomics: Fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles, http://dx.doi.org/10.1101/2022.07.08.499309
    Preprints | 2022
    Liu D; Zandavi SM; Chung V; Anaissi A; Vafaee F, 2022, Omics Imagification: Transforming High-throughput Molecular Representation of a Cell into an Image, http://dx.doi.org/10.21203/rs.3.rs-1919175/v1
    Preprints | 2022
    Thilakanathan C; Zandavi SM; Kim C; Goodwin T; Akon AC; Majeed A; Kemp W; Chu F; Smith M; Jebeili H; Behary J; Roberts S; Vafee F; Zekry A, 2022, Artificial Intelligence Reliably Identifies Patients at Risk of HCC Recurrence 1-Year Post-Surgical Resection, http://dx.doi.org/10.2139/ssrn.4006151
    Preprints | 2021
    Anaissi A; Suleiman B; Zandavi SM, 2021, A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification, http://arxiv.org/abs/2111.02632v1
    Conference Papers | 2020
    Anaissi A; Suleiman B; Zandavi SM, 2020, 'Online Tensor Decomposition with optimized Stochastic Gradient Descent: An Application in Structural Damage Identification', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1257 - 1264, http://dx.doi.org/10.1109/SSCI47803.2020.9308310
    Preprints | 2020
    Anaissi A; Suleiman B; Zandavi SM, 2020, NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent, http://dx.doi.org/10.48550/arxiv.2003.08844
    Preprints | 2020
    Anaissi A; Suleiman B; Zandavi SM, 2020, Online Tensor-Based Learning for Multi-Way Data, http://dx.doi.org/10.48550/arxiv.2003.04497
    Preprints | 2020
    Anaissi A; Zandavi SM, 2020, Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance, http://dx.doi.org/10.48550/arxiv.2003.05070
    Preprints | 2020
    Zandavi SM; Chung V; Anaissi A, 2020, Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques, http://dx.doi.org/10.48550/arxiv.2004.12886
    Preprints | 2020
    Zandavi SM; Chung V; Anaissi A, 2020, Multi-User Remote lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm, http://dx.doi.org/10.48550/arxiv.2003.11708
    Preprints | 2020
    Zandavi SM; Chung V; Anaissi A, 2020, PIDA: Smooth and Stable Flight Using Stochastic Dual Simplex Algorithm and Genetic Filter, http://dx.doi.org/10.48550/arxiv.2006.10522
    Preprints | 2020
    Zandavi SM; Rashidi TH; Vafaee F, 2020, Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models, http://dx.doi.org/10.48550/arxiv.2005.12270
    Conference Papers | 2019
    Anaissi A; Zandavi SM, 2019, 'Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order Data', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2019 International Joint Conference on Neural Networks (IJCNN), 14 July 2019 - 19 July 2019, http://dx.doi.org/10.1109/IJCNN.2019.8852305
    Conference Papers | 2018
    Liu Z; McClung A; Yeung HWF; Chung YY; Zandavi SM, 2018, 'Top-Down Person Re-Identification with Siamese Convolutional Neural Networks', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2018 International Joint Conference on Neural Networks (IJCNN), 08 July 2018 - 13 July 2018, http://dx.doi.org/10.1109/IJCNN.2018.8489317
    Conference Papers | 2018
    Zandavi SM; Chung V, 2018, 'Augmented Reality for Remote Laboratory Improving Educational Learning: Using Elevated Particle Swarm Optimization in Object Tracking Scheme', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2018 International Joint Conference on Neural Networks (IJCNN), 08 July 2018 - 13 July 2018, http://dx.doi.org/10.1109/IJCNN.2018.8489685