Skip to main content

Ali Zarei

Doctoral Researcher
Tampere University
phone number+358503447193

About me

I'm an engineer in the fields of Communications Systems, Embedded Systems, and Artifitial Intelligence.

I've received my Bachelor degree of Electronics Engineering in 2014 and my Master degree of Communications Systems Engineering in 2018.

Some of my scientific and job experiences are listed such as Embedded Programming in Niroo Research Institute (Aug 2018 - Jan 2019), RF Optimizer of 3G Network of MTN-Irancell in Huawei Technologies Co. Ltd. (Aug 2016 - Oct 2017), and Implementing Machine Learning Algorithms and Deep Learning Architectures (e.g. DNN, CNN, DBN-DNN) in post-graduate studies.

My personal hobbies can be found in aerobic sports, Playing musical instruments, scientific news reading and programming for Fun :) 


Researches on Automation of Micro-robotics platform in SD101 and SD107b at Hervanta campus.

Fields of expertise

- Image Processing and Machine Vision; image-data enhancement, object detection and recognition.

- Machine and Deep Learning; Using conventional machine learning and deep learning techniques for prediction, regression, detection and recognition problems on real-world data (e.g. sensor data, camera images, ...).

- Python and MATLAB Programming; Pogramming for data manipulation, analysis and implementing mathematical techniques such as time-domain or frequency-domain transforms, optimization problems and machine learning algorithms.

- C/C++ Programming; Programming for emmbedded devices, controllers or hardware to read and analyze data from sensors or perform an action.

Mission statement

Increasing the throughput of micro-robotic platform for micro-manipulation and mechanical tests on bio-based fibers characterization.

Research topics

- Automation

- Micro-robotics

- Image Processing, Machine Vision

- Machine Learning, Deep Learning

Research unit


Research fields

- Image Processing, Machine Vision

- Machine Learning, Deep Learning

- Data Analysis


European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764713