I am an associate professor in Dept of Information Science and Engineering, School of Electrical Engg and Computer Science, KTH.
My research interests are in signal procesing and machine learning. To mention some topics:
- sparse processing, compressive sensing and low dimensional models
- statistical signal processing, pattern recognition and machine learning
- speech and audio processing
- bioinformatics and medical data analytics
- statistical physics and information theory based analysis
Recently I am more involved in sparse systems and machine learning. A goal of my research is designing improved schemes for multimedia processing, and Big Data analytics.
I am currently supervisor / co-supervisor of the following students.
- Fanny Roche (Master; project with Arturia on Music Information Retrieval via informative feature extraction)
- Zhao Huang (Master: project with Sonion NL on speech enhancement using microphones and vibration sensors)
- Xavier Bush (Master; Data analytics for consulting firms, mainly fraud detection in financial transactions)
- Qi Li (Master; Urban mobility sensing for traffic using sparse processing)
- Tiphanie Deniaux (Master; Deep learning for speech recognition)
- Martin Sundin (PhD; main supervisor: Magnus Jansson)
- Ahmed Zaki (PhD; main supervisor: Lars K. Rasmussen)
- Arun Venkitaraman (PhD; main supervisor: Peter Händel)
I was supervisor/ co-supervisor of the following students who graduated.
- Dave Zachariah (PhD; main supervisor: Magnus Jansson); graduated 2013. Thesis title: Estimation for Sensor Fusion and Sparse Signal Processing
- Amirpasha Shirazinia (PhD; main supervisor: Mikael Skoglund); graduated 2014. Thesis title: Source and Channel Coding for Compressed Sensing and Control
- Dennis Sundman (PhD; main supervisor: Mikael Skoglund); graduated 2014. Thesis title: Greedy Algorithms for Distributed Compressed Sensing
- Damon Shahrivar (Master); graduated 2015. Thesis title: Accurate and fast taxonomic profiling of microbial communities
- Adria Casamitjana(Master); graduated 2015. Thesis title: New insights on speech signal modeling in a Bayesian framework approach
Master Thesis Opportunity
I am willing to supervise interesting master thesis projects within the above mentioned research topics. Interested candidates may contact either by a mail or to drop in my office for an informal discussion.
Pattern Recognition, Machine Learning and Data Analysis (FEO3274), examiner, course responsible | Course web