Indir Jaganjac

Education: MSc.E.E., major computer engineering, 1995
Faculty of Electrical and Computer Engineering,
Zagreb, Croatia.

Personal Statement: A researcher with strong knowledge in big data, predictive modeling, technical systems diagnostics and prognostics.

Skills & Abilities:
•  Software development life cycle
•  Radio-frequency planning
•  WAN, Cisco routers, switches
•  Big data, predictive modeling
•  Technical systems diagnostics and prognostics

Work Experience:

1990-1995                                                                                                                               Participated at conferences: American Association for Artificial Intelligence (AAAI) 1990 in Boston, AAAI ’91 in Anaheim and AAAI ’92 in San Jose.  Attended workshops on machine learning and computer-aided diagnostics of technical systems.

1995 – 1998
Malaysian Embassy, Zagreb, Croatia
•  Assistant to Charge d’Affaires
•  Business continuity planning
•  Disaster recover planning

1999 – 2002
Independent Media Commission, Sarajevo
•  Radio-frequency planning in ICS telecom on digital elevation model of 10-m resolution
.
2003 – 2007
Technical High School, Zenica
Professor for informatics, computer networks

2007 – 2009
Mittal Steel, Zenica
•  SCADA, predictive maintenance

2009 – present
•  Consulting, PHP, JavaScript, MySQL
•  Consulting, ArcGIS, QGIS
•  Kaggle data science competitions
Currently solving on Kaggle:
– DSTL Satellite Imagery Feature Detection
– The Nature Conservancy Fishery Monitoring
– Two Sigma Financial Modeling Challenge
– Participating in NIJ Real-Time Crime Forecasting Challenge
– Participating in computational biometrics science projects:
•  Unconstrained facial recognition, latent fingerprint image super-resolution enhancement, voice stress analysis (prototypes in MATLAB).

Programming Languages and Applications:
•  MATLAB, LabVIEW, R, Python
•  WEKA data mining software in Java
•  RapidMiner data mining software in Java
•  SkyTree machine learning software for big data
•  BayesiaLab belief networks modeling software in Java
•  PHP, JavaScript, MySQL
•  Python TensorFlow deep learning library for big images and big data
•  NVIDIA GPUs deep learning in Linux Ubuntu 14.04, libraries: CUDA, cuDNN, DIGITS

Publications:
Computing with Cellular Automata, Reed-Muller workshop, Trier, Germany
http://www.lsi-cad.com/RM/RM2003_pro.html

Long-term prediction of nonlinear time series with recurrent least squares support
vector machines, ESTSP ’08, Helsinki, Finland
http://www.mafy.lut.fi/timeseries/ESTSP/

Radial Basis Function Networks for Classification and Prediction, ISP ’05, San Antonio, Texas, USA
http://www.forecastingprinciples.com/paperpdf/isf_2005_program.pdf

Automatic identification of causal knowledge and causal graphs in technical systems
of process ventilators
http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=231181&lang=en