Miguel Á. Carreira-Perpiñán Associate professor Electrical Engineering and Computer Science School of Engineering University of California, Merced Office: SE284 5200 N. Lake Road Merced, CA 95343 209-2284545 (office), 209-2284097 (SE281 lab) Fax 209-2284047 Email: mcarreira-perpinan [at] ucmerced.edu WWW: http://faculty.ucmerced.edu/mcarreira-perpinan Directions for visitors

Prospective PhD students in machine learning for Fall 2013

Research interests

My basic research interests are in machine learning. Most recently, I have been working on topics in the intersection of optimisation and machine learning, in particular in learning algorithms for deep neural nets and for nonlinear embeddings. Other topics of interest are dimensionality reduction/manifold learning, clustering, denoising and other unsupervised learning problems, and mean-shift algorithms. I often get inspiration from problems in speech processing (e.g. articulatory inversion and model adaptation), computer vision (e.g. segmentation, articulated pose tracking, image registration), sensor networks, robotics (e.g. inverse kinematics) and other application areas. In the past, I also worked on computational neuroscience, specifically on dimension reduction models of the maps of the visual cortex.

• Curriculum Vitae
• Personal information
• Papers
• Software and databases
• Research
• Teaching
• Students:
  • Weiran Wang, PhD EECS
  • Maksym Vladymyrov, PhD EECS
  • Javier López-Alberca, visiting student
• Past students:
  • Ankur Kamthe, PhD EECS 2012 (co-advisor). Now software engineer at Aruba Networks.
  • Chao Qin, PhD EECS 2011. Now research scientist at sharethis.com.
• Current professional service:
  • Associate Editor, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI).
  • Area chair, Conference on Neural Information Processing Systems (NIPS 2013).
  • Senior Program Committee Member, SIAM International Conference on Data Mining (SDM 2013).

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