Associate Professor Jitkomut Songsiri, Ph.D.

รศ. ดร.จิตโกมุท ส่งศิริ

Education

  • Ph.D.    Electrical Engineering, University of California, Los Angeles, U.S.A, 2010
  • M.Eng.  Electrical Engineering, Chulalongkorn University, Thailand, 2002
  • B.Eng.   Electrical Engineering, Chulalongkorn University, Thailand, 1999

Email: Jitkomut.s@chula.ac.th

Research Interest

  • system modelling
  • statistical learning
  • non-smooth optimization
  • sparse system identification
  • sparse optimization
  • solar power forecasting
  • brain connectivity
  • Granger causality
  • causality learning in time series

Research Cluster

Link to

1.

Boonyakitanont, P; Lek-uthai, A; Chomtho, K; Songsiri, J

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG Journal Article

In: Biomedical Signal Processing and Control, 57 , 2020, ISSN: 17468094, (cited By 26).

Abstract | Links

2.

Pruttiakaravanich, A; Songsiri, J

Convex formulation for regularized estimation of structural equation models Journal Article

In: Signal Processing, 166 , 2020, ISSN: 01651684, (cited By 3).

Abstract | Links

3.

Pipattanasomporn, M; Chitalia, G; Songsiri, J; Aswakul, C; Pora, W; Suwankawin, S; Audomvongseree, K; Hoonchareon, N

CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets Journal Article

In: Scientific Data, 7 (1), 2020, ISSN: 20524463, (cited By 2).

Abstract | Links

4.

de Steen, F Van; Faes, L; Karahan, E; Songsiri, J; Valdes-Sosa, P A; Marinazzo, D

Critical Comments on EEG Sensor Space Dynamical Connectivity Analysis Journal Article

In: Brain Topography, 32 (4), pp. 643-654, 2019, ISSN: 08960267, (cited By 38).

Abstract | Links

5.

Raksasri, N; Songsiri, J

Guaranteed stability of autoregressive models with granger causality learned from Wald tests Journal Article

In: Engineering Journal, 21 (6 Special Issue), pp. 23-36, 2017, ISSN: 01258281, (cited By 2).

Abstract | Links

6.

Pruttiakaravanich, A; Songsiri, J

A review on dependence measures in exploring brain networks from fMRI data Journal Article

In: Engineering Journal, 20 (3), pp. 208-233, 2016, ISSN: 01258281, (cited By 1).

Abstract | Links