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Jaume Anguera Peris

Profile picture of Jaume Anguera Peris





About me

I am currently a PhD student in the Information Science and Engineering Division under the supervision of Prof. Joakim Jaldén and Prof. Mats Bengtsson. I am also affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP) under a research project between KTH and SciLifeLab. My research interests are drawn to engineering problems that require interdisciplinary mathematics, including the modelling of stochastic networks, modelling nanopore DNA base-calling, or automating tasks based on super-resolution imaging.

I received my master's degree in Information and Network Engineering '19 from KTH - Royal Institute of Technology, and my bachelor's degree in Telecommunications Systems Engineering '16 from UPC - ETSETB TelecomBCN. During my undergraduate studies, I had the opportunity to be a visiting scholar in the Department of Electrical and Computer Engineering at Northeastern University, and participate in several research projects, including,

  • Deep learning for differential privacy and density estimation (2019, pdf)
  • Deep learning-based decoding algorithms for identification systems (2018)
  • Distributed multi-target tracking in a Wireless Sensor Network using diffusion strategies and adaptive combiners (2016)
  • Image recognition for avoiding collisions in a swarm of nanosatellites (2016)

Upon completing my bachelor's thesis, I worked as a software developer and test automation engineer at Roche Diagnostics.

My current research focuses on (1) modelling multi-cellular systems supporting edge video analytics and (2) modelling base-calling algorithms for DNA sequencing using the tools of convex optimization, stochastic geometry, queuing theory, and deep learning.

As part of my teaching activities during my PhD, I served as a teaching assistant each spring semester for the Introduction to Computing Systems Engineering and Digital Signal Processing courses. Besides, I supervise master thesis students on a variety of topics related to my research interests, including,

  • Ayush Bhat, Implementation and Evaluation of Audio Repeater Nodes using Bluetooth LE Audio (Ongoing)
  • Asawari Joshi, Selecting a service mesh implementation for managing microservices, October 2022
  • Tatiana Barrios Montenegro, Congestion Control with Service Mesh for Edge Cloud Traffic, October 2022
  • Beatrice Lovely, Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning, June 2022
  • Zihan Wang, Performance Evaluation of Serverless Edge Computing for AI Applications, June 2022
  • Jing Xia, Network simulation for the monitoring of water distribution infrastructure, December 2021
  • Nicola Fiorello, A Cloud-based Business Process Automation Platform for Customer Interaction, August 2021


Digital Signal Processing (EQ2300), assistant | Course web

Introduction to Computing Systems Engineering (EP1200), assistant | Course web