Ali Taylan Cemgil's Home Page

Ali Taylan Cemgil, Prof. Dept. of Computer Engineering Bogazici University, Istanbul, Turkey

Academic Interests

• Bayesian statistics, Machine Learning,

• Monte Carlo methods and Optimization

• Matrix and Tensor decompositions

• Applications in: audio and music processing, anomaly detection, time series, bioinformatics, tracking, sensor fusion, recommendation systems, customer analytics

• Google Scholar Profile

• ORCID

• github

• CV (August 2018)

Brief Biography

I am a Professor and vice chair at Bogazici University, Dept. of Computer Engineering. Istanbul, TR. I obtained my PhD in Radboud University Nijmegen, the Netherlands and did postdoc work in Amsterdam, NL and Cambridge, UK before moving back to Istanbul in 2008. I am interested into basic machine learning methodologies, in particular Bayesian modelling and inference, Monte Carlo, optimization and Matrix and Tensor decomposition methods. I lead the research group PILab-sigma, that receives both local, national and EU fundig. Our group works and collaborates with industry on several applications such as audio and music processing, anomaly detection, time series, bioinformatics, tracking, sensor fusion, recommendation systems, customer analytics; and has spawned a spin-off company, Algosis, that is focusing on financial applications.

News

I will be able to give a consent only to 45 students for cmpe547, and 5 non-CMPE students for CmpE250.

Teaching

Machine Learning in Bosphorus - Ismail Ari Summer School 2018

CMPE Undergraduate

• CMPE 250, Data Structures and Algorithms,

• CMPE 462, Machine Learning,

• CMPE 482, Numerical Linear Algebra and Its Applications,

• CMPE 491/492, Final Year Project Ideas

CMPE Graduate

• CMPE 700, Graduate Seminar (Academic Writing)

• CMPE 547, Bayesian Statistics and Machine Learning

• CMPE 548, Monte Carlo Methods

SWE and FE programs

• FE 587, C++ Programming for Finance

• FE 588, Python Programming for Finance

• SWE 501, Object Oriented Programming,

• SWE 546, Data Mining,

• SWE 582, Machine Learning for Data Analytics

• Past courses in Bogazici

Contact:

• Email:
  

• Phone (Prefer sending an email)
  Office: 0090 212 3594731
  Fax (cmpe secretary): 0090 212 2872461

• Adress:
  Department of Computer Engineering, Bogazici University,
  34342 Bebek Istanbul, TURKEY

• Office Location
  ETA 19, Kuzey Kampus (North Campus), Computer Eng. Building, 1st floor