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My Research Team
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Post-doctoral researcher

zilong.zhao@gipsa-lab.fr​

07/2020–present
TU Delft, The Netherlands
Project: Synthetic tabular data generation via generative  adversarial networks

PhD student

b.cox@tudelft.nl

09/2020–present
TU Delft, The Netherlands
Project: Adversarial learning

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PhD student

S.Ghiassi@tudelft.nl
02/2019–present
TU Delft, The Netherlands
Project: Robust machine learning systems

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PhD student

huangjiyue@pku.edu.cn

08/2020–present
TU Delft, The Netherlands
Project: Federated learning

(Co-supervise with Stefanie Rosss)

PhD student

b.cox@tudelft.nl

09/2021–present
TU Delft, The Netherlands
Project: Federated learning

(Co-supervise with Jeremie Decouchant)

PhD student

H.Li-9@tudelft.nl

06/2021- present
TU Delft, The Netherlands
Project: Neural network based topology optimization 

(Co-supervise with Miguel Bessa)

TU Delft Master, Bachelor and Interns. 

I supervise a large number of master thesis and bachelor thesis students, covering a wide range of topics in distributed machine learning systems. I also recruit them as summer interns in my lab or startup. 

To know the cool stuffs my students do, check out the DIS  group website and Generatrix .

I am always interested in hiring motivated students!

N. Ramashan
03/201712/2017
Project: Cloud-based security service

R. Birke
01/201206/2017
Project: Datacenter discovery and cognitive threat intelligence platform

M. Ghassi
02/2019–present
TU Delft, The Netherlands
Project: Robust machine learning systems

Affiliated Postdoctoral Fellows @IBM Research

N. Ramashan
03/201712/2017
Project: Cloud-based security service

R. Birke
01/201206/2017
Project: Datacenter discovery and cognitive threat intelligence platform

PhD Student Co-Advisory Role @IBM Research

H. Zhang
09/201704/2018
Co-adviser of Dapprox
Swiss Federal Institute of Technology (ETH), Switzerland
Project: Distributed lower-precision machine learning

H. Sun
01/2016–11/2016
Co-adviser of LoadOpt
University of Lugano, Switzerland
Project: Trading-off accuracy and latency on big data processing platforms

A. Rosa
10/2013
04/2016

Co-adviser of LoadOpt
University of Lugano, Switzerland
Project: Characterizing and predicting failures of big data applications

PhD Intern Mentor @IBM Research

S. Cerf
07–11/2018
University of Grenoble, France
Project: Robust learning against noisy data

N. Ramashan
08–12/2016
KTH Royal Institute of Technology, Sweden
Project: Optimizing tail latency for in-memory data store

J. Xue
08–12/2015
College of William and Mary, USA
Project: Proactive datacenter ticket management using approximate time series prediction

S. Spicuglia
03/2014–08/2015
University of Lugano, Switzerland
Project: Resource and overload management for big data platforms

C. Wang
06–10/2014
Pennsylvania State University, USA
Project: Pricing design for co-located cloud tenants

D. Cavada
09/2013–08/2014
Bogazici University, Turkey
Project: Energy-aware scheduling design for datacenter (became her thesis dissertation)

A. Podzimek
08/2012–04/2013
Charles University, Czech Republic
Project: Partial load benchmarking (became his thesis dissertation)

D. Ansaloni
09/2010–04/2011
University of Lugano, Switzerland
Project: Consolidating workloads on multicore systems

Master Student Co-Advisory Role @IBM Research

J. Vallone
09/2014–06/2015
Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
Master thesis: Contention detection by throttling: a black-box on-line approach

Y. Yin
02–07/2014
Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
Master thesis: Optimizing energy, locality and priority in a MapReduce cluster

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