ADVISING
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"?
Also, please take this paper into consideration: link.
You can check bellow some people and projects that I had, or I am having, the pleasure to advise.
2022-2026 (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.]
2022-2026 (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.]
2021-2024 (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]
2020-2024 (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
NATAŠA 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]
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]
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.]
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.]
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.]
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.]
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]
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.]
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.]
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. ]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
Afterward: Microsoft Corporation.
2020-2021
KYLER PON FRAZIER, BSC, ICS 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]
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]
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]
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]
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]
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]
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]
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]
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.]
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.]
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.]
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)]
Afterward: MSc in Astrophysics, and then PhD student in Astronomy (FCUL - U. Lisboa).