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Alexander Iliev

Phone: (415) 717-6838
Office: SCI B241

  • Patented research led to commercially sold licenses
  • Research experience in Data Analytics, Digital Speech, Audio and Signal Processing, Psychoacoustics
  • Well versed in working with Machine Learning, Neural Networks, Classification and Pattern Recognition
  • Teaching and Research at:
    • UW-Stevens Point (current)
    • UC Berkeley Extension(current)
    • Bulgarian Academy of Sciences (current)
    • University of Miami (past)
    • Committee member at UW-Stevens Point (current), University of Miami (past)
    • Experienced in Python (NumPy, SciPy, Matplotlib, TensorFlow), Matlab, Unix/Linux environment, Android, Java

University of Miami, Coral Gables FL, USA
     Ph.D. in Electrical and Computer Engineering, 2009, Area: Emotion Recognition in Speech
     M.S. in Music Engineering Technology, 1999, Area: Audio Watermarking for DRM and Data Hiding
Ivan Rilski University, Sofia, Bulgaria
     M.S. in Electrical Engineering, 1996
Technical University, Sofia, Bulgaria
     Associate Degree in Multimedia Technologies, 1996

  • “Coding a Masked Data Channel in a Radio Signal” Inventors: A.I. Iliev, M. S. Scordilis and H. Leventhal, U.S. Patent No. 7,079,633 B2, awarded on July 18, 2006 
  • “Auxiliary channel masking in an audio signal”, U.S. Patent No. 6,996,521 B2, Inventors: A.I. Iliev and M. S. Scordilis, Assignee: University of Miami, awarded on February 07, 2006
  • Personalization, Enhanced User Experience And Behavioral Patterns For Smart Digital Content Ecosystems
  • Emotion Recognition In Speech Using Glottal Information And Prosodic Features
  • Watermarking And Data Hiding Using Speech And Audio Signals Based On Psychoacoustic Modeling
  • Machine Learning, Classification, Data Analysis, Signal Processing, Psychoacoustics, Speech And Audio Signals
  • Iliev, A.I. 2018. “Content Discovery Using Perceptual Automation”, In Proceedings of the 10th International Conference on Management of Digital EcoSystems (MEDES ’18), September 25–28, 2018, Tokyo, Japan. ACM, New York, NY, USA, 6 pages.
  • Iliev, A.I., Stanchev, L.P., Glottal Attributes Extracted from Speech with Application to Emotion Driven Smart Systems, 10th International Conference on Knowledge Discovery and Information Retrieval (KDIR’18), indexed in Thomson Reuters, Sept.18-20, 2018 Seville, Spain
  • Iliev, A.I., Stanchev, L.P., Information Retrieval and Recommendation Using Emotion from Speech Signal, In: 2018 IEEE Conference on Multimedia Information Processing and Retrieval, Miami, FL, USA, April 10-12, 2018, pp. 222-225, DOI:10.1109/MIPR.2018.00054
  • Marinova, D.P., Iliev, A.I., Pavlov, R.D., Zlatkov, L.Ch., “Towards Increasing and Personalizing of User Experience in the Digital Culture Ecosystem”, International Journal of Applied Engineering Research, ISSN 0973-4562 Volume 13, Number 6 (2018) pp. 4227-4231
  • Stanchev, P.L., Marinova, D.P., Iliev, A.I., “Enhanced User Experience and Behavioral Patterns for Digital Cultural Ecosystems”, The 9th International Conference on Management of Digital EcoSystems (MEDES’17), ACM, Bangkok, Thailand, 7-10.Nov.2017
  • Iliev, A.I., Stanchev, P., “Smart multifunctional digital content ecosystem using emotion analysis of voice”, International Conference on Computer Systems and Technologies CompSysTech’17, ACM, Ruse, Bulgaria – June.22-24.2017
  • Iliev, A.I., Stanchev, P., “Personalizing content using voice in a digital asset ecosystem”, IJIRSET International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 12, pp. 20260-20267, December 2016
  • Iliev, A.I., “Emotion Recognition in Speech using Inter-Sentence Time-Domain Statistics”, IJIRSET International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 3, pp. 3245-3254, March 2016
  • Iliev, A.I., “Feature vectors for emotion recognition in speech”, National Informatics Conference, Sofia, Bulgaria, 2016, pp. 225-238
  • Iliev, A.I., “Emotion Recognition From Speech”, Monograph, Lambert Academic Publishing, 2012
  • Iliev, A.I., Scordilis, M.S., “Spoken Emotion Recognition Using Glottal Symmetry”, EURASIP Journal on Advances in Signal Processing, Volume 2011, Article ID 624575
  • Iliev, A.I., Scordilis, M.S., Papa J.P., Falcão A.X., “Spoken emotion recognition through optimum-path forest classification using glottal features”, Journal on Computer Speech and Language, ELSEVIER, Vol. 24, Issue 3, 2010, pp. 445-460
  • Iliev, A.I., Scordilis, M.S., “Emotion Recognition in Speech using Inter-Sentence Glottal Statistics”, Proceedings of the 15th International Conference on systems, Signals and Image Processing, IEEE-IWSSIP 2008, Bratislava, Slovakia, June 25-28, 2008, pp. 465-468
  • ordilis, M.S., “Spoken Emotion Classification Using ToBI Features and GMM”, Proceedings of the 14th International Workshop on Signals and Image Processing 2007 and the 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. IEEE-IWSSIP 2007, Maribor, Slovenia, June 27-30, 2007, pp. 495-498
  • Iliev, A.I., He, X., Scordilis, M.S., “A High Capacity Watermarking Technique for Stereo Audio”, Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP2004, Montreal, Canada, 17-24 May 2004, Vol. 5, pp. 393-396
  • Iliev, A.I., Scordilis, M.S., “Multi level High Capacity Data Hiding Technique for Stereo Audio”, Proceedings of the 2004 IEEE-Asilomar Conference, Pacific Grove, California, November 7-10, 2004, pp. 1793-1797
  • Jin, W., Scordilis, M.S., Iliev., A.I., “Comparison and implementation of a 16-bit fixed point audio resampler”, Proceedings of the 2004 IEEE-Asilomar Conference, Pacific Grove, California, November 7-10, 2004, pp. 1798-1800
  • Iliev, A.I., Scordilis, M.S., “Binaural Phase Masking Experiments in Stereo Audio”, Proceedings of the First Pan-American/Iberian Meeting on Acoustics, Cancun, Mexico, The Journal of the Acoustical Society of America, Nov.01.2002, Vol.112, Issue 5, pp. 2273-2274


  • IEEE Signal Processing Letters: Speech Coding, Synthesis and Analysis; Speech Processing “Characterization of Glottal Activity from Speech Signals”, Volume: 16, Issue: 6, pages: 469 – 472, ISSN: 1070-9908, June 2009
  • EURASIP Journal on Advances in Signal Processing, “Recognition of Non-Prototypical Emotions in Reverberated and Noisy Speech by Non-Negative Matrix Factorization”, 16 pages, Article ID 838790, January 23, Volume 2011
  • APESM Australasian Physical & Engineering Sciences in Medicine, “Study of Bispectral features and Mean shift clustering for stress and emotion classification from natural speech”, Manuscript APES-D-15-00271, 39 pages, 2016
  • JITR Journal of Information Technology Research, “Factors for the management of scarce human resources and highly skilled employees”, 22 pages, January 2016

Assistant Professor, Computing and New Media Technologies, University of Wisconsin-Stevens Point WI, USA, Sep.2017 – current
  • Introduction to Data Analytics (DAC-101) 
  • Programming for Data Analytics (DAC-111)
  • Data Analytics Seminar (DAC-299)
  • Data Mining (DAC-310) 
  • Android Development (CIS/HTI-345)
  • Object Oriented Programming (CNMT-110)
  • Deep Learning (CIS/DAC-345)
Lecturer, UC Berkeley Extension
  • Introduction to Matlab (EL-ENG-X446.7), Sep.2012, June.2014, March.2015
  • Python for Data Analysis and Scientific Programming (EL-ENG-X446.7), 2015 – current
  • TensorFlow, May.2018 - current
Lecturer, College of Engineering, University of Miami, 2006
  • Architectural Acoustics (CAE380)
Lecturer, School of Communication, University of Miami, 2002 – 2005
  • Advanced Audio Production for Film and Video (CMP594)
  • Advised, coordinated, and supervised graduate and undergraduate level students as thesis committee member
  • Best Paper Award at the International Conference on Computer Systems and Technologies CompSysTech’17, Ruse, Bulgaria, June.22-24.2017
  • Fellowship from the Provost at University of Miami, May.2006
  • Honor Society “Eta Kappa Nu”, Nov.2006
  • Senator of the Graduate Student Association, 2007-2009
  • Best Attendance Award at UM, 1st: Jun-Dec.2003; 2nd: Jan-Jun.2004
  • AES Educational Foundation Stipend, Jul.1998-1999

University of Miami, 2002 – 2005
  • Thesis Committee at School of Communication
University of Wisconsin-Stevens Point, Sep.2017 – current
  • Department Committee at CNMT
  • Curriculum Committee at CNMT
  • Marketing, Library, Seminar Committee at CNMT
  • IEEE (2008)
  • Acoustical Society of America (2002)
  • Audio Engineering Society (1997)
  • Project Management Institute (2007)
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