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Pedro Abranches
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Leello Tadesse Dadi
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Dr Grigorios Chrysos
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Dr Armin Eftekhari
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Alumni PhD students
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Igor Krawczuk (2024)
Fabian Latorre (2023)
Ali Kavis (2023)
Mehmet Fatih Sahin (2022)
Paul Rolland (2022)
Thomas Sanchez (2022)
Ahmet Alacaoglu (2021)
Arda Uran (2021)
Ya Ping Hsieh (2020)
Baran Gözcü (2019)
Ilija Bogunovic (2019)
Alp Yurtsever (2019)
Marwa El Halabi (2018)
Cosimo Aprile (2018)
Yen-Huan Li (2018)
Anastasios Kyrillidis (2014)
Afsaneh Asaei (co-advised; 2013)
Alumni interns/visiting students
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Ioannis Mavrothalassitis (2023)
Artem Agafonov (visiting PhD student 2023)
Anh Duc Nguyen (2023)
Wanyun Xie (2023)
Mohammadamin Sharifi (2022)
Artem Zholus (2022)
Yongtao Wu (2022)
Rayan Harfouche (2022)
Daria Kotova (2021)
Prateek Varshney (2021)
Hlib Tsyntseus (2021)
Jonathan Sauder (2020)
Zhaodong Sun (2020)
Cheng Shi (2020)
Pedro Abranches (2020)
Dadi Leelo Tadesse (2020)
Pai-An Wang (2019)
Bora Dogan (2019)
Mehmet Fatih Sahin (2018)
Thomas Sanchez (2018)
Clément Lalanne (2018)
Tianzong Zhang (2018)
Ehsan Asadi (2017)
Junyao Zhao (2017)
Renbo Zhao (2017)
Yu-Chun Kao (2016)
Alban Pierre (2016)
Behrooz Azarkharlili (2016)
Gergery Odor (2015)
Siddartha Satpathi (2015 & 2013)
Vipul Gupta (2015)
Nissim Zerbib (2015)
Amirhossein Hadavi (2014)
Rajshekar Das (2014)
Prateek Vashishtha (2014)
Roozbeh Hasheminezhad (2014)
Gizem Tabak (2013)
Ender Tinkir (2013)
Rabeeh Karimi Mahabadi (2013)
Ehsan Abbasi (2013)
Hemant Tyagi (2012)
Nirav Bhan (2012)
Sajal Jain (2012)
Shayan Dashmiz (2011)
Mohammad Hossein Shafinia (2011)
Research
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European Research Council Projects
FNSNF Projects
HaslerStiftung
ONR Global
Army Research Office (ARO)
Swiss Data Science Center (SDSC)
The Enterprise for Society Center (E4S)
SV Interdisciplinary PhD fellowship (iPhD)
Zeiss Projects
Google project
Microsoft Research
EC-REA Marie Curie Projects
DARPA Projects
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Software
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DECOPT – DEcomposition Convex OPTimization
SCOPT: Self-Concordant OPTimization
CLASH: Combinatorial selection and Least Absolute SHrinkage
ALPS: ALgebraic PursuitS
MATRIX ALPS
TV-Normed Pursuit
Nys-SKETCH – Nyström Sketching Toolbox
LB-CSMRI: Learning-Based Compressive MRI
Courses
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Current Courses
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EE-556 Mathematics of Data: From Theory to Computation
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Slides 2023
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EE-568 Reinforcement Learning
EE-618 Theory and Methods for Reinforcement Learning (spring 2023)
EE-735 Online learning in games
Past courses
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EE-204 Circuits and Systems I
EE-614 Theory and Methods for Linear Inverse Problems
EE-717 Graphical Models
EE-731 Advanced Topics in Data Sciences
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Completed Master Projects @ LIONS
Completed semester projects @ LIONS
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