CV (PDF File)

Education

B.S. in Computer Science, FEEVALE University, 2012
M.S. in Computer Science, Unisinos University, 2014
Ph.D in Algorithms for Big Data Streams Analytics, ENS-Lyon, 2019

Work experience

2022-present: Nokia Bell Labs

Research Software Engineer

2019-2022: University of Toronto

Postdoctoral Fellow

2016-2019: École normale supérieure de Lyon

Ph.D. Student

2003-2015 Altero Design

IT Manager
Software Developer and Analyst
Assistant of the Quality Management

Skills

Machine Learning
- Reinforcement Learning
- Monte Carlo Tree Search
- Q-Learning
Queueing Theory
Graph Theory
Algorithms
Distributed Computing
High Performance Computing (HPC)
Big Data frameworks
- RabbitMQ
- Apache Kafka
- Mosquitto
- Apache Flink
- Apache Storm
- Apache Edgent
Simulation tools
- Simgrid
- OMNeT++
- iFogSim
SAP ECC 6.0
- ABAP
- Production Planning (PP)
- Warehouse Management System (WMS)
- Materials Management (MM)
- Sales and Distribution (SD)
Programming Languages
- Java
- C++
- Delphi
- Python
- Javascript

Publications

BSPonP2P: Model for Collaborative Computing at BSP Applications in P2P Desktop Grid

da Silva Veith, Alexandre; Righi, Rodrigo. R.

Collaborative Computing of BSP Applications in P2P Grids

da Silva Veith, Alexandre; da Costa, Cristiano André; da Rosa Righi, Rodrigo

Collaborative computing of parallel applications in P2P environments

da Silva Veith, Alexandre; Righi, Rodrigo. R

BSPonP2P: Towards Running Bulk-Synchronous Parallel Applications on P2P Desktop Grids

da Rosa Righi, Rodrigo; da Silva Veith, Alexandre; Rodrigues, Vinicius Facco; Rostirolla, Gustavo

Rescheduling and checkpointing as strategies to run synchronous parallel programs on P2P desktop grids

da Rosa Righi, Rodrigo; da Silva Veith, Alexandre; Rodrigues, Vinicius Facco; Rostirolla, Gustavo; da Costa, Cristiano André; Farias, Kleinner; Alberti, Antonio Marcos

Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments

da Silva Veith, Alexandre; dos Anjos, J. C.; de Freitas Pignaton, Edison; Lampoltshammer, Thomas J.; Geyer, Claudio

Assessing the Impact of Network Bandwidth and Operator Placement on Data Stream Processing for Edge Computing Environments

da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent

Distributed data stream processing and edge computing: A survey on resource elasticity and future directions

de Assunção, Marcos Dias; da Silva Veith, Alexandre; Buyya, Rajkumar

Apache Spark

da Silva Veith, Alexandre; Dias de Assunção, Marcos

Latency-Aware Strategies for Placing Data Stream Analytics onto Edge Computing

da Silva Veith, Alexandre; Dias de Assuncao, Marcos; Lefevre, Laurent

Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems

R. R. De Souza Jr, Paulo; Matteussi, Kassiano; C. S. Anjos, Julio; D. D. dos Santos, Jobe and R. Geyer, Claudio; da Silva Veith, Alexandre

Enabling Strategies for Big Data Analytics in Hybrid Infrastructures

C. S. Anjos, Julio; Matteussi, Kassiano; R. R. De Souza Jr, Paulo; da Silva Veith, Alexandre; Fedak, Gilles; Luis Victoria Barbosa, Jorge and R. Geyer, Claudio

Latency-Aware Placement of Data Stream Analytics on Edge Computing

da Silva Veith, Alexandre; de Assunção, Marcos Dias; Lefèvre, Laurent

Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources

Gibert Renart, Eduard*; da Silva Veith, Alexandre*; Balouek-Thomert, Daniel; de Assunção, Marcos Dias; Lefèvre, Laurent; Parashar, Manish

Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing

da Silva Veith, Alexandre; de Souza, Felipe Rodrigo; Dias de Assunção, Marcos; Lefèvre, Laurent; Santos dos Anjos, Julio Cesar

Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge Computing

da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent

Scalable Joint Optimization of Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Infrastructure

de Souza, Felipe Rodrigo; da Silva Veith, Alexandre; de Assunção, Marcos Dias; Caron, Eddy

An Optimal Model for Optimizing the Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Computing

de Souza, Felipe Rodrigo; Dias de Assunção, Marcos; Caron, Eddy; da Silva Veith, Alexandre

Boosting Big Data Streaming Applications in Clouds with BurstFlow

De Souza Junior, Paulo R. R.; Matteussi, Kassiano J.; da Silva Veith, Alexandre; Zanchetta, Breno F.; R. Q. Leithardt, Valderi; Lozano M., Álvaro; P. de Freitas, Edison; dos Anjos, Julio C. S.; R. Geyer, Claudio F.

Sustainable Computing on the Edge: A System Dynamics Perspective

Ramprasad, Brian; da Silva Veith, Alexandre; Gable, Moshe; de Lara, Eyal

Pain-o-vision, effortless pain management

Ramprasad, Brian; Chen, Hongkai; da Silva Veith, Alexandre; Truong, Khai; de Lara, Eyal.

Latency-Aware Strategies for Deploying Data Stream Processing Applications on Large Cloud-Edge Infrastructure

da Silva Veith, Alexandre; Dias de Assunção, Marcos; Lefèvre, Laurent.

Combining DNN partitioning and early exit

Ebrahimi, Maryam; da Silva Veith, Alexandre; Gabel, Moshe; de Lara, Eyal.

Shepherd: Seamless Stream Processing on the Edge

Ramprasad, Brian; Mishra, Pritish; Thiessen, Myles; Chen, Hongkai; da Silva Veith, Alexandre; Gable, Moshe; Balmau, Oana; Chow, Abelard; de Lara, Eyal