Dr Arnaud Nguembang Fadja



Profession: Head of Machine Learning

Research Department, Paragon semvox GmbH

Paragon semvox GmbH

Konrad-Zuse-Str. 19, D-66459 Limbach (Saarland), Germany

Tel: +49 (0) 6841 80 90 10 Fax: +49 (0) 6841 80 90 10

E-Mail: arnaud.fadja.n@gmail.com

Paragon semvox GmbH

Dr Arnaud Nguembang Fadja

TEACHING

COURSES

2022

Applications of Artificial Intelligence in Medicine In the academic year  2021/2022, he carried out the teaching assignment as a contract professor for the course "Applications of Artificial Intelligence in Medicine", for Master's Degree students in Medicine and Surgery, at the Department of Morphology, Surgery, and Experimental Medicine.  Number of credits: 6

2021

Introduction to artificial intelligence In the academic year (AA) 2020/2021 he carried out the teaching assignment for the course “Introduction to artificial intelligence” at the scientific high school Roiti Ferrara, Italy. Held from 10 March to 16 April 2021.  Number of hours: 12.

2021

Applications of Artificial Intelligence in Medicine In the academic year  2020/2021, he carried out the teaching assignment as a contract professor for the course "Applications of Artificial Intelligence in Medicine", for Master's Degree students in Medicine and Surgery, at the Department of Morphology, Surgery, and Experimental Medicine.  Number of credits: 6

2020

Computer Technology and Statistics for Ph.D. Students In the academic year (AA) 2020/2021 he carried out a teaching assignment for the course "Computer Technology and Statistics for Ph.D. Students", a course offered to doctoral students of the University of Ferrara. From 1/12/2020 to 4/12/2020 Number of hours: 12. University Training Credit: 5

2020

Fundamentals of Computer Science In the academic year (AA) 2019/2020 he carried out a module of the course "Fundamentals of Computer Science", a Bachelor's Degree Course in Communication Sciences and Technologies, at the Department of Humanities of the University of Ferrara. From February 2020 to May 2020. Number of hours: 24. University Training Credit: 6

2017

Deep learning course for industry In the period from 01/11/2017 to 20/11/2017 he held the position of teaching a deep learning course at  Microtec company in Bressano as part of a technology transfer project. The topics include Artificial/Convolution/Recurrent/Capsule Neural Networks, Object/Semantic/outlier detection, transfer learning, data augmentation, and Generational Adversarial Networks. Techniques such as YOLO, Mask-RNN, and fast/er Mask-RNN were taught.  Number of hours: 20

TUTORINGS

2019

Programming Languages ​​and Laboratory In the academic year 2018/2019, he received the assignment of a didactic tutor for the "Programming Languages ​​and Laboratory" course (Java, Lex, and Prolog programming), a Bachelor's Degree Course in Computer Science at the Department of Mathematics and Computer Science, University of Ferrara. Course teacher: Prof. Fabrizio Riguzzi. Number of hours: 28

2018

Fundamentals of Computer Science - module B" (Advanced C Programming and Java) In AY 2017/2018, he carried out the tutoring activity for the course "Fundamentals of Computer Science - module B" (Advanced C Programming and Java), a Bachelor's Degree Course in Electronic and Computer Engineering, at the Department of Engineering of the University of Ferrara Studies. Course teacher: Prof. Evelina Lamma. Number of hours: 58.

2018

Fundamentals of Computer Science - module A." (C Programming Language) In the AY 2017/2018, 2018/2019 he carried out the tutoring activity for the course "Fundamentals of Computer Science - module A" (Programming C), a Bachelor's Degree Course in Electronic and Computer Engineering, at the Department of Engineering of the University of the Studies of Ferrara. Course teacher: Prof. Marco Gavanelli. Number of hours: 99.

2017

Fundamentals of Computer Science - module A." (C Programming Language) In the AY 2017/2018, he carried out the tutoring activity for the course "Fundamentals of Computer Science - module A" (Programming C), a Bachelor's Degree Course in Electronic and Computer Engineering, at the Department of Engineering of the University of the Studies of Ferrara. Course teacher: Prof. Marco Gavanelli. Number of hours: 99.

2017

Databases In the 2016/2017 academic year he was appointed as a teaching tutor for the course "Databases", a Bachelor's Degree in Computer Science at the Department of Mathematics and Computer Science, University of Ferrara. Course teacher: Doctor Giacomo Piva. Number of hours: 20.

2016

Programming and Laboratory" (Programming C) In the academic year 2016/2017, he was appointed as a teaching tutor for the course "Programming and Laboratory" (Programming C), a Bachelor's Degree Course in Computer Science at the Department of Mathematics and Computer Science, University of Ferrara. Course teacher: Doctor Giacomo Piva. Number of hours: 24

2015

Programming and Laboratory" (Programming C) In the academic year 2015/2016, he was appointed as a teaching tutor for the course "Programming and Laboratory" (Programming C), a Bachelor's Degree Course in Computer Science at the Department of Mathematics and Computer Science, University of Ferrara. Course teacher: Doctor Giacomo Piva. Number of hours: 24

LABS

2019

Comparative study between different Machine Learning frameworks (Tensorflow, Keras, CaffetNet, Pytorch). CIFAR-10 dataset Students: Ndomo Kenfack Wilfried & Kenfack Tsamo Rosine.  Supervisor: Dr. Arnaud Nguembang Fadja [.pdf]

2019

Development of a convolutional neural network for recognizing and classifying meter digits Student: Michele Fraccaroli.  Supervisor: Dr. Arnaud Nguembang Fadja [.pdf]

2018

Meter Reader con Tesseract OCR Student: Andrei Jizdan.  Supervisor: Dr. Arnaud Nguembang Fadja [.pdf]

2018

Rest-Net architecture for date image recognition in Microsoft Cognitive Toolkit (CNTK) Student: Salvatore Collura.  Supervisor: Dr. Arnaud Nguembang Fadja [.pdf]

2017

VGG-Net architecture for date image recognition in Microsoft Cognitive Toolkit (CNTK) Student: Eugenio Balistri.  Supervisor: Dr. Arnaud Nguembang Fadja [.pdf]

2017

Image classification with Convolutional Neural Network Student: Baire Federico.  Supervisor: Dr. Arnaud Nguembang Fadja [.pdf]