Quick Links

https://people.ibu.edu.ba/jkevric/
Assist. Prof. Dr.

Jasmin Kevrić


Education

  • PhD, International Burch University, Electrical and Electronics Engineering, 2015, Sarajevo - BiH
  • MS, International Burch University, Information Technologies, 2012, Sarajevo, BiH
  • BS, University of Sarajevo, Faculty of Electrical and Electronics Engineering, Automatic Control and Electronics, 2010, Sarajevo, BiH


Experiences

  • International Burch University, OTHER:Deputy Dean of Faculty of Engineering and ITNov. 2016,
  • International Burch University, OTHER:Head of Electrical and Electronics Engineering DepartmentJul. 2016,
  • International Burch University, Assist. Prof. Dr.- Nov. 2015, Sep. 2020
  • International Burch University, OTHER:Editorial Assistant for Journal of Science and TechnologyDec. 2014, Oct. 2016
  • International Burch University, EEE Website CoordinatorSep. 2014, Sep. 2015
  • International Burch University, Internship CoordinatorSep. 2012, Sep. 2015
  • International Burch University, Research AssistantSep. 2012, Oct. 2015
  • International Burch University, Graduation Project CoordinatorSep. 2012, Sep. 2015
  • International Burch University, Systems EngineerAug. 2010, Sep. 2012


Research Topics

  • Pattern Recognition
  • Computer and Network Security
  • Biomedical Signal Processing
  • Machine Learning
  • Data Mining


Academic Journals

(The Journals appeared in SCI, SCI Exp.,SSCI and AHCI are shown with *)

  • *Jasmin Kevric, Abdulhamit Subasi; Comparison of Signal Decomposition Methods in Classification of EEG Signals for Motor-imagery BCI System, Biomedical Signal Processing and Control, Vol. 31, Sep. 2016
  • *Jasmin Kevric, Samed Jukic, and Abdulhamit SUbasi; An effective combining classifier approach using tree algorithms for network intrusion detection, Neural Computing and Applications, Jun. 2016
  • *Mirza Šarić, Jasna Hivziefendić, and Jasmin Kevric; CLASSIFICATION AND COMPARISON OF UNCERTAINTY MODELLING METHODS IN POWER SYSTEMS, Bosanskohercegovačka elektrotehnika, Vol. 10, Dec. 2016
  • *Dino Keco, Abdulhamit Subasi, Jasmin Kevric; Cloud computing-based parallel genetic algorithm for gene selection in cancer classification, Neural Computing and Applications, Dec. 2016
  • Jasmin Kevric, Abdulhamit Subasi; The Impact of MSPCA Signal De-noising In Real-Time Wireless Brain Computer Interface System, Southeast Europe Journal of Soft Computing, Vol. 4, No. 1, Mar. 2015
  • Samed Jukic, Jasmin Azemovic, Dino Keco, Jasmin Kevric; Comparison of Machine Learning Techniques in Spam E-mail Classification, Southeast Europe Journal of Soft Computing, Vol. 4, No. 1, Mar. 2015
  • *Jasmin Kevric & Abdulhamit SUbasi; The Effect of Multiscale PCA De-noising in Epileptic Seizure Detection, Journal of Medical Systems, Vol. 38/10, Aug. 2014


Proceedings

  • Emir Džaferović, Sabahudin Vrtagić, Lejla Bandić, Jasmin Kevric, Abdulhamit Subasi, Saeed Mian Qaisar; Cloud-based mobile platform for EEG signal analysis, 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA 2016), School of Engineering, American University of Ras Al Khaimah, Ras Al Khaimah, UAE, Dec. 2016, Page 1-4
  • Emir Salihagic, Jasmin Kevric, Nejdet Dogru; Classification of ON-OFF states of Appliance Consumption Signatures, XI International Symposium on Telecommunications – BIHTEL 2016, Sarajevo, BiH, Oct. 2016
  • Adnan Hodzic, Jasmin Kevric, Ahmed Karadag; COMPARISON OF MACHINE LEARNING TECHNIQUES IN PHISHING WEBSITE CLASSIFICATION, International Conference on Economic and Social Studies (ICESoS), Sarajevo, BiH, Apr. 2016, Vol. 3, Page 249 - 256
  • Jasmin Kevric & Abdulhamit Subasi; Classification of EEG signals for epileptic seizure prediction using ANN, Third International Symposium on Sustainable Development ISSD2012, Sarajevo, BiH, May. 2012, Vol. 2, Page 491-499


Books

  • Abdulhamit Subasi, Emina Alickovic, Jasmin Kevric. Hakan Sahin; Analysis of biomedical signals using machine learning methods, Menekse Yayınları