ADVISING
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If you want to develop a BSc, MSc or PhD project, please contact me. For BSc and MSc projects, we can discuss some ideas that I have, but if you have your own, even better. For PhD projects, well, I expect you to come with an idea, even if still raw, before we start discussing.
Just note that whatever is the level, I expect you to lead your project. I will be there to help certainly as much as possible, but you shall be the leader, otherwise how could you feel that it is "your project"?
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Also, please take this paper into consideration: link.
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You can check bellow some people and projects that I had, or I am having, the pleasure to advise.
2022-2026Â (expected)
DAVID OLIVEIRA, PHD CANDIDATE
Title TBD, but on Symbolic computing applications to Cosmology. [Co-advised 50% with António da Silva. Universidade de Lisboa, FCUL, Physics Dept.]
2022-2026Â (expected)
MIGUEL CONCEIÇÃO, PHD CANDIDATE
Title TBD, but on Machine Learning emulation for Cosmology and Gravitational Wave studies. [Co-advised 50% with António da Silva. Universidade de Lisboa, FCUL, Physics Dept.]
2021-2024Â (expected)
DAVID SWEENEY, PHD CANDIDATE
Title TBD, but on lensing at multiple scales. [Collaboration on specific topics 25% with Peter Tuthill, University of Sydney, Faculty of Sciences; 2023-2024 Fulbright Ph.D. scholarship at the University of California, Irvine]
2020-2024Â (expected)
ANA SOFIA CHAGAS CARVALHO, PHD CANDIDATE
Title TBD, but on Galaxy Clusters with Euclid and Machine Learning. [Co-advised 50% with António da Silva. Universidade de Lisboa, FCUL, Physics Dept.; 2023 Fulbright Ph.D. scholarship at the University of California, Irvine]
2019-2023
JOÃO RINO-SILVESTRE, PHD CANDIDATE
Title TBD, but on reconstruction of the line-of-sight dust towards Type Ia Supernovae. [Collaboration on specific topics 5% with Ana Mourão and Santiago González-Gaitán, Universidade de Lisboa, FCUL&IST, Physics Dept.]
2019-2023
NATAÅ A LAZAREVIC, PHD
Application of statistical and machine learning methods to health applications. [Collaboration on specific topics (10%) with Corinne Caillaud and Celine Boehm. University of Sydney, Faculty of Health Sciences, Exercise & Sport Science & Faculty of Sciences]
2023-2023 (expected)
SIYAO HE, MSWE
Title TBD, but on software engineering studies of the R language on RISC-V architecture. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
2019-2023
PEDRO GUILHERME-GARCIA, MSC STUDENT
Scalar and vector-field reconstructions of astronomical data. [Co-advised 50% with Ana Mourão, Santiago Gonzalez-Gaitán e António Amorim. Universidade de Lisboa, FCUL&IST, Physics Dept. ; Student dropped for personal reasons, but published a paper]
2020-2022
PARKER THOMAS SCOTT, MSWE
A PL/Java interface to certain virtual observatory protocols. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: Sofware Engineer at Blackberry Security Division.
2020-2021
YUE ZENG, MSC
Database tables with automatic crossmatching for the unit sphere. [Collaborative Project. University of California, Irvine, Computer Sciences Department, Donald Bren School of Information and Computer Sciences]
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Afterward: Software Engineer at Amazon.
2018-2021
MIGUEL CONCEIÇÃO, MSC
Cosmological density fields and gravitational waves: a statistical learning approach. [Co-advised 50% with António da Silva. Universidade de Lisboa, FCUL, Physics Dept.]
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Afterward: PhD candidate in Astronomy (FCUL - U. Lisboa).
2018-2019
ANA SOFIA CHAGAS CARVALHO, MSC
Exploration of unsupervised machine learning methods to study galaxy clusters. [Co-advised 50% with António da Silva. Universidade de Lisboa, FCUL, Physics Dept.]
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Afterward: PhD candidate in Astronomy (FCUL - U. Lisboa).
2017-2019
IZABELLA CAMPOLINA SILVA E HEMPRICH, MSC
Consortia optimization for ESA proposals based on cognitive computing. [Co-advised 50% with Teresa Alpuim. Universidade de Lisboa, FCUL, Statistics Dept.]
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Afterward: Senior Automation Engineer at a large steel mining conglomerate.
2019-2019
MAXIME VALEILLE-MANET, MASTER
Lensed quasar detection from resolved time series: tests with the Zwicky Transient Facility DR1. [ Co-advised 35% with Christine Ducourant. Université de Bordeaux, LAB]
2017-2019
JOÃO RINO-SILVESTRE, MSC
System Integration and control of a compressed sensing instrument for Astronomy. [Co-advised 50% with André Moitinho de Almeida. Universidade de Lisboa, FCUL, Physics Dept.]
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Afterward: PhD candidate in Astronomy (IST - U. Lisboa).
2017-2017
QUENTIN PETIT, MASTER
Le contenu extragalactique des données du satellite Gaia. [Advisor: Christine Ducourant. Collaboration in specific topics, 15%. Université de Bordeaux, LAB]
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Afterward: PhD candidate in Astronomy (U. Bordeaux).
2015-2016
JOANA PIRES, MSC
Optical and opto-mechanical design and implementation of a compressed sensing instrument for Astronomy. [Co-advised 50% with André Moitinho de Almeida. Universidade de Lisboa, FCUL, Physics Dept.]
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Afterward: Physical Engineer in a Robotic Process Automation company.
2015-2015
RAQUEL BANDARA BORGES, MSC
Electronics design and implementation of a compressed sensing instrument for Astronomy. [Co-advised 50% with André Moitinho de Almeida. Universidade de Lisboa, FCUL, Physics Dept.]
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Afterward: Physical Engineer in a leading advanced metrology company.
2013-2014
ANA AFONSO, MSC
Studying AGN galaxy hosts in the framework of Gaia mission. [Advisors: Sonia Antón & António Amorim. Collaboration in specific topics, 25%. Universidade Lisboa FCUL, Physics Dept. ]
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Afterward: PhD student at IA/FCUL, and then pos-doctoral Researcher in Astronomy (CENTRA/IST, and then IA - U. Porto).
2013-2013
ADRIEN CABIOCH, MASTER
Caractérisation des effets d’un code de débruitage appliqué à des images astronomiques. [Co-advised 25% with Christine Ducourant. Université de Bordeaux, LAB.]
2012-2012
KÉVIN BOUGIS & ERWAN CAPITAINE, MASTER
Les quasars vus par le satellite Gaia. [Advisor: Christine Ducourant. Collaboration in specific topics, 15%. Université de Bordeaux, LAB.]
2023-2023 (expected)
NATHAN NG, BSC, ICS HONORS
Title TBD, but on Query by Image Content using sparse representations. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
2023-2023 (expected)
NICHOLAS CRAIG KING, BSC, ICS HONORS
Title TBD, but on applications of machine learning to space-borne solar data. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
2023-2023 (expected)
SICHENG LIU, BSC, ICS HONORS
Title TBD, but on scientific paper recommendation systems [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
2023-2023
MEHRDOKHT NORANIAN, BSC, ICS HONORS
Data imputation using Multivariate Imputation By Chained Equations. [University of California, Irvine, Statistics Department, Donald Bren School of Information and Computer Sciences]
2023-2023
SUYEON JU, BSC, ICS HONORS
Efficient out-of-memory large catalog positional cross-match algorithms. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: MSc student in statistics and data science (Columbia University).
2022-2023
GRACE MANNING, BSC, CAMPUS WIDE HONORS
Fast-fashion / slow-fashion analyzed with webcrawlers. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences; UCI UROP Fellow, 2022-2023]
2022-2023
CONGYOU LUO, BSC, ICS HONORS
Static and dynamic software analysis to aid automatic FPGA acceleration. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences; UCI UROP Fellow, 2022-2023]
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Afterward: PhD student in Software Engineering (University of California, Irvine).
2022-2023
CHENXI HUANG, BSC
Unsupervised multispectral image denoising. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences; UCI UROP Fellow, 2022-2023]
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Afterward: China Securities Financial Investment Bank.
2022-2023
KE XU, BSC
Feature selection through solving quadratic unconstrained binary optimization problems. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences & School of Physical Sciences; UCI UROP Fellow, 2022-2023]
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Afterward: PhD student in Physics (University of Pennsylvania).
2022-2023
DANIIL TURPITKA, BSC
Sparsity-aware Autoencoders. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: Apple Inc. (2022), UC Irvine (2022-2023), MS student in Computer Sciences (CMU).
2022-2023
SCOTT EVERETT PERKEY, BSC
Gravitational lensing and unresolved time series. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences & School of Physical Sciences; UCI UROP Fellow, 2022-2023]
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Afterward: MSc student in Physics (California State University, Long Beach).
2021-2022
LILY MINGYI HE, BSC
Fourier and distribution-based features for image retrieval. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
2021-2022
WEN KANG, BSC
Video retrieval using time-tagged Wasserstein distance inspired metrics. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
Afterward: Huawei Technologies Co.
2021-2022
JODY JAMIN, BSC
Radon transforms and emulations of gravitational ray-tracing of black holes. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
2021-2022
PREM GORDE, BSC
Rare-image classification using Radon transforms and autoencoders. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: MS student in Computer Science (University of California, Davis), Lawrence Livermore National Laboratory.
2021-2022
JINLI DUAN, BSC
Adoption of holographic displays to explore scatter plots. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: MS student in Computer Science (NYU).
2021-2022
CALVIN NGUYEN, BSC
Seamlessly mapping and connecting online spreadsheets to SQL databases. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: MS student in Analytics (Georgia Tech).
2021-2022
MICHELLE CHEN, BSC
Relevance feedback in multi-criteria image retrieval. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: Microsoft Corporation.
2020-2021
KYLER PON FRAZIER, BSC, ICSÂ HONORS & PHYSICS HONORS
Stacked and ensemble methods for lensed QSO candidate selection. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences & Astronomy Department, School of Physical Sciences]
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Afterward: Boeing Corporation (2021), Roblox Corporation (2022).
2020-2021
JEFFERSON MATTHEW APUYA PEREZ, BSC
Startup management models for the 21st Century. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: Software Engineer at an educational software startup company.
2020-2021
SUSHISMARI KATAKAM, BSC
Fast image retrieval and classification based on multi-wavelength distributions. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: Microsoft Corporation.
2020-2021
NEO CHEN, BSC
Feature Selection for Software Engineering and Machine Learning. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: MS student Computer Science (CMU), Amazon (>2023)
2020-2021
TIANSHU WANG, BSC
Feature Selection for Software Engineering and Machine Learning. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: MS student in Computer Science (NYU).
2020-2021
MALEEHA IMRAN, BSC
Text-mining and sentiment analysis in the astronomical literature. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: MS student in Computer Science (Georgia Tech).
2020-2022
STUTI RANA, BSC
Irregularly-sampled time-series similarity analysis using spectral methods. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Scienced; UCI SURP Fellow]
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Afterward: Intel Corporation (2022), Amazon (>2022).
2020-2021
ALEXANDER JOHANN MULLIGAN, BSC, ICS HONORS
Astronomical image compression and anomaly detection using Autoencoders. [University of California, Irvine, Informatics Department, Donald Bren School of Information and Computer Sciences]
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Afterward: Startup for machine learning-based PCB optimization.
2017-2019
PEDRO GUILHERME-GARCIA, BSC
Can we detect acceleration terms in stellar proper-motions of stellar groups? [Co-advised 50% with André Moitinho de Almeida. Universidade de Lisboa, FCUL, Physics Dept.]
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Afterward: MSc student in Astronomy (FCUL - U. Lisboa).
2019-2019
YUN PENG LI, BSC
Tracking the origin of physics ideas through paper mining. [Collaboration on specific topics 20% with Celine Boehm and Eduardo Altmann. University of Sydney, Faculty of Sciences]
2017-2018
MIGUEL CONCEIÇÃO, BSC
Emulating n-body simulations using machine learning and sparse projections. [Co-advised 50% with António da Silva. Universidade de Lisboa, FCUL, Physics Dept.]
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Afterward: MSc in Astrophysics, and then PhD candidate in Astronomy (FCUL - U. Lisboa).
2017-2017
SANDRA GABRIELA COIMBRA MONTEIRO, BSC
Stellar Parameter Recovery from noisy spectra via embedding in very low dimensions with t-SNE and PCA. [Universidade de Lisboa, FCUL, Physics Dept.]
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Afterward: MSc student in Data Science (IST - U. Lisboa).
2017-2017
ANA SOFIA CHAGAS CARVALHO, BSC
Unsupervised galaxy clustering from photometric data with UPMASK. [Co-advised 50% with António da Silva. Universidade de Lisboa FCUL, Physics Dept. (* Best Work prize at the Encontro Nacional de Astronomia de 2017)]
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Afterward: MSc in Astrophysics, and then PhD student in Astronomy (FCUL - U. Lisboa).