I. Tabus

Ioan Tăbuş received the M.S. degree in electrical engineering in 1982, the Ph.D. degree from the “Politehnica” University of Bucharest, Romania, in 1993, and the Ph.D. degree (with honors) from Tampere University of Technology (TUT), Finland, in 1995. He was a Teaching Assistant from 1984 to 1990, Lecturer from 1990 to 1993, and Associate Professor from 1994 to 1995 with the Department of Control and Computers, “Politehnica” University of Bucharest. From 1996 to 1999, he was a Senior Researcher at TUT. Since January 2000, he has been a Professor with the Institute of Signal Processing at TUT. His research interests include genomic signal processing, speech, audio, image and data compression, joint source and channel coding, nonlinear signal processing, and image processing. He is a coauthor of two books and more than 90 publications in the fields of signal compression, image processing, and system identification. He is a Senior Member of IEEE and Associate Editor for IEEE Transactions on Signal Processing. He was a Chair of IEEE SP/CAS Chapter of Finland Section. Dr. Tăbuş is a corecipient of 1991 “Traian Vuia” Award of the Romanian Academy and corecipient of the NSIP 2001 Best Paper Award and Norsig 2004 Best Paper Award.

Biography Updated on 26 October 2004

Articles in Scholarly Journals [Incomplete List]

  1. Pathway alterations during glioma progression revealed by reverse phase protein lysate arrays
    PROTEOMICS, vol. 6, no. 10, pp. 2964–2971, 2006
  2. Nonlinear Modeling of Protein Expressions in Protein Arrays
    IEEE Transactions on Signal Processing, vol. 54, no. 6, pp. 2394–2407, 2006
  3. An efficient normalized maximum likelihood algorithm for DNA sequence compression
    ACM Transactions on Information Systems, vol. 23, no. 1, pp. 3–34, 2005
  4. Clustering Time Series Gene Expression Data Based on Sum-of-Exponentials Fitting
    EURASIP Journal on Applied Signal Processing, vol. 2005, no. 8, pp. 1159–1173, 2005
  5. Robust estimation of protein expression ratios with lysate microarray technology
    Bioinformatics, vol. 21, no. 9, pp. 1935–1942, 2005
  6. Fast Iterative Gene Clustering Based on Information Theoretic Criteria for Selecting the Cluster Structure
    Journal of Computational Biology, vol. 11, no. 4, pp. 660–682, 2004
  7. Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 1, pp. 64–80, 2004
  8. Robust indexing of lattices and permutation codes over binary symmetric channels
    Signal Processing, vol. 83, no. 7, pp. 1467–1486, 2003
  9. Classification and feature gene selection using the normalized maximum likelihood model for discrete regression
    Signal Processing, vol. 83, no. 4, pp. 713–727, 2003
  10. Genomic signal processing
    Signal Processing, vol. 83, no. 4, pp. 691–694, 2003
  11. SDP design procedures for near-optimum IIR compaction filters
    Signal Processing, vol. 82, no. 6, pp. 911–924, 2002
  12. Multiple-scale leader-lattice VQ with application to LSF quantization
    Signal Processing, vol. 82, no. 4, pp. 563–586, 2002
  13. Robust Index Assignment Using Hadamard Transform for Vector Quantization Transmission over Finite-Memory Contagion Channels
    Circuits, Systems & Signal Processing, vol. 21, no. 5, pp. 485–509, 2002
  14. Asymptotics of greedy algorithms for variable-to-fixed length coding of Markov sources
    IEEE Transactions on Information Theory, vol. 48, no. 7, pp. 2022–2035, 2002
  15. Journal of Mathematical Imaging and Vision, vol. 16, no. 3, pp. 251–268, 2002
  16. Using contexts and R–R interval estimation in lossless ECG compression
    Computer Methods and Programs in Biomedicine, vol. 67, no. 3, pp. 177–186, 2002
  17. On the parameterization of positive real sequences and MA parameter estimation
    IEEE Transactions on Signal Processing, vol. 49, no. 11, pp. 2630–2639, 2001
  18. On the Use of MDL Principle in Gene Expression Prediction
    EURASIP Journal on Applied Signal Processing, vol. 2001, no. 4, pp. 297–303, 2001
  19. Adaptive context-based sequential prediction for lossless audio compression
    Signal Processing, vol. 80, no. 11, pp. 2283–2294, 2000
  20. L-M-S filters for image restoration applications
    IEEE Transactions on Image Processing, vol. 8, no. 9, pp. 1299–1305, 1999
  21. Multidimensional Systems and Signal Processing, vol. 10, no. 2, pp. 161–187, 1999
  22. A fast algorithm for adaptive polynomial filtering
    Signal Processing, vol. 70, no. 2, pp. 147–151, 1998
  23. A training framework for stack and Boolean filtering-fast optimal design procedures and robustness case study
    IEEE Transactions on Image Processing, vol. 5, no. 6, pp. 809–826, 1996