About Me

I am a PhD student in the Networks Data Science Group at IMDEA Networks Institute in Madrid, Spain. I am also a student at Universidad Carlos III de Madrid, where I am enrolled in the Telematics Engineering program. Prior to my PhD studies, I completed an engineering degree at the University of Yaounde I, in Cameroon and a master's in electrical and computer engineering at Carnegie Mellon University Africa, in Rwanda. There, my research was on machine learning for energy-saving optimization in cellular networks, with a conference paper published in IEEE UEMCON 2020. I am currently involved with the European Union's Horizon 2020 project "BANYAN" which aims to bring big data analytics to radio access networks. At the moment, I am visiting Ranplan Wireless and the University of Cambridge in the United Kingdom as part of the secondments of the project. Previously, I visited the SMART team at Orange Innovation Networks for another secondment. My current research interest is in the area of in-band network intelligence, with a focus on in-network machine learning. Recent research outputs are published in top conferences like IEEE INFOCOM.

Contact Details

Aristide Tanyi-Jong Akem
Av Mar Mediterraneo 22
28918 Leganes, Madrid

aristide.akem@imdea.org

Education

Universidad Carlos III de Madrid

Doctor of Philosopy (PhD) in Telematics Engineering Mar 2021 - Present

Reearch Area: Data-Driven Management of Mobile Networks

Carnegie Mellon University

Master of Science (MS) in Electrical and Computer Engineering Aug 2019 - May 2020

Concentration: Network Technologies
Research Topic: Energy-Savings Optimization in Cellular Networks with Machine Learning

University of Yaounde I

Master of Engineering (MEng) in Telecommunications Sep 2013 - Jul 2018

Final Project: Design of a Mobile Video Surveillance Value-Added Service via the 4G LTE Network of Cameroon Telecommunications.

Work

University of Cambridge, United Kingdom

Visiting PhD Student / Lab Assistant Oct 2022 - Feb 2023 & Sep 2023 - Present

Visiting the Computer Science and Technology Department under the supervision of Dr. Ian Wassell. I also serve as a laboratory teaching assistant for the Digital Electronics course.

Ranplan Wireless, United Kingdom

Visiting Researcher Oct 2022 - Feb 2023 & Sep 2023 - Present

Visiting the company as part of the secondments of the EU H2020 ITN ”BANYAN”.

Orange Innovation Networks,France

Visiting Researcher Mar 2023 - Aug 2023

Visited the SMART Orange Innovation team as part of the secondments of the EU H2020 ITN ”BANYAN”.

IMDEA Networks Institute, Spain

Pre-Doctoral Researcher Mar 2021 - Present

I am a fellow of the EU H2020 project BANYAN within the Network Data Science Group, working on implementing machine learning algorithms in P4-programmable switches for online inference at line rate.

Carnegie Mellon University Africa, Rwanda

Graduate Teaching Assistant Sep 2020 - Mar 2021

Served in three graduate courses: Data Inference and Applied Machine Learning, Data Analytics, and Big Data Science. Graded assignments, held office hours with students, and handled course logistics.

Ministry of ICT and Innovation, Rwanda

Data Science Intern May 2020 - Aug 2020

Data extraction, cleansing, wrangling, visualization, and analysis, using Python, to generate insights that facilitate the decision-making process.

Huawei Technologies Company Cameroon Limited, Cameroon

Intelligent Video Surveillance Engineer Jan 2019 - Jul 2019

Was part of the team that installed, configured and commissioned 351 street video surveillance camera sites in the city of Yaounde, under the Safe City Project of the National Police.

Skills

My skills span the areas of mobile networking, data science, programming and academic writing. I have extensive knowledge of GSM (2G), UMTS (3G), LTE (4G) and 5G network architectures. I have also worked on intelligent video surveillance systems notably the Huawei Intelligent Video Surveillance systems (IVS). I am a data science enthusiast and most of my work begins with exploring some data and building predictive models. Below is a list of key programming languages and tools that I master and work with.

  • P4
  • Python
  • Matlab
  • Wordpress
  • CSS
  • HTML5
  • SQL

List of Publications

Showcasing In-Switch Machine Learning Inference
Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo and Marco Fiore
Proceedings of the 2023 IEEE 9th International Conference on Network Softwarization (IEEE NetSoft 2023)
Citation | PDF
Fast Detection of Cyberattacks on the Metaverse through User-plane Inference
Beyza Bütün, Aristide Tanyi-Jong Akem, Michele Gucciardo and Marco Fiore
Proceedings of the 2023 International Conference on Metaverse Computing, Networking and Applications (IEEE MetaCom 2023)
Citation | PDF
Demonstrating Flow-Level In-Switch Inference
Michele Gucciardo, Aristide Tanyi-Jong Akem, Beyza Bütün and Marco Fiore
Proceedings of the 2023 IEEE International Conference on Computer Communications (IEEE INFOCOM 2023) Workshops
Citation | PDF
Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests
Aristide Tanyi-Jong Akem, Michele Gucciardo and Marco Fiore
Proceedings of the 2023 IEEE International Conference on Computer Communications (IEEE INFOCOM 2023)
Citation | PDF
Henna: Hierarchical Machine Learning Inference in Programmable Switches
Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo and Marco Fiore
Proceedings of the 1st International Workshop on Native Network Intelligence (NativeNI’22)
Citation | PDF
A Machine Learning Approach to Temporal Traffic-Aware Energy-Efficient Cellular Networks
Aristide Tanyi-Jong Akem, and Edwin Mugume
Proceedings of the 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON 2020)
Citation | PDF

Get In Touch.

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