Dr. Joao Mota

Dr. Joao Mota is Assistant Professor in Signal and Image Processing at Heriot-Watt University. He holds a dual PhD degree from Carnegie Mellon University, US, and the Technical University of Lisbon, Portugal. From 2013 to 2016, he was a post-doctoral researcher at University College London, UK. His research focuses on the theoretical and practical aspects of high-dimensional data processing, machine learning, multimodal signal processing, inverse problems, optimization theory and algorithms, data science, and distributed information processing and control. He was the recipient of the IEEE Signal Processing Society Young Author Best Paper Award for the paper "Distributed Basis Pursuit", published in IEEE Transactions on Signal Processing.

Research keywords: 
Optimization Algorithms and Theory, Machine Learning, Multimodal Signal Processing, Network Science