ד"ר תום טריגנו

Dr. Tom Trigano

מוסד עיקרי

המכללה האקדמית להנדסה על שם סמי שמעון

Shamoon College of Engineering

טלפון

054-6427316

דוא״ל

thomast@sce.ac.il

קורות חייםCV

דיסציפלינות ראשיותMain Disciplines

Computer Sciences, Engineering, Electrical and Systems

דיסציפלינות משניותSecondary Disciplines

Artificial Intelligence, Electrical Engineering, Machine Learning, Natural Language Processing, Signal Processing

תחומי מחקר / מילות מפתחKeywords

Signal and Image Processing, Sparse Reconstruction

פרסומים ויצירות עיקריים / עדכנייםMain / Recent Publications

T. Trigano, S. Talala and D. Luengo, "Adaptive Trend Filtering for ECG Denoising and Delineation," in IEEE Journal of Biomedical and Health Informatics,
Chen, Z., Kong, X., Zheng, X., Zhu, Y., Trigano, T. (2023). Parallel Pileup Correction for Nuclear Spectrometric Data on Many-Core Accelerators. In: Qiu, M., Lu, Z., Zhang, C. (eds) Smart Computing and Communication. SmartCom 2022. Lecture Notes in Computer Science, vol 13828. Springer, Cham.
Tom Trigano, David Luengo, Intracardiac ECG pulse localization using overlapping block sparse reconstruction, Biomedical Signal Processing and Control, Volume 79, Part 1, 2023, 103921
D. Luengo et al., "Improving Quality of Life Through Engineering Education. A Case Study," 2022 IEEE European Technology and Engineering Management Summit (E-TEMS), Bilbao, Spain, 2022, pp. 190-195,
Maayan Khayat, Shani Deri, David Wolf, Tom Trigano, Ohad Medalia, Kfir Ben-Harush, Biomimetic nuclear lamin fibers with remarkable toughness and stiffness, International Journal of Biological Macromolecules, Volume 163, 2020
T. Trigano, S. Vaknin and D. Luengo, “Fast Proximal Optimization for Sparse Reconstruction with Dictionaries Based on Translated Waveforms”, in Signal Processing, Vol 169(4), paper 107379
T. Trigano and Y. Bechor, “Fast Background Removal of JPEG Images Based on HSV Polygonal Cuts for a Foot Scanner Device”, Journal of Real-Time Image Processing,
D. Luengo, D. Meltzer and T. Trigano, “An Efficient Method to Learn Overcomplete Multi-Scale Dictionaries of ECG Signals”, Applied Science, 8(12)
Tom Trigano, Yann Sepulcre, Data-driven parameter selection for activity estimation in nuclear spectroscopy, Signal Processing, Volume 151, 2018, Pages 99-106
T. Trigano and J. Cohen, "Intensity Estimation of Spectroscopic Signals With an Improved Sparse Reconstruction Algorithm," in IEEE Signal Processing Letters, vol. 24, no. 5, pp. 530-534, May 2017,
T. Trigano, I. Shevtsov and D. Luengo, « CoSA : an Accelerated ISTA Algorithm for Dictionaries Based on Translated Waveforms », Signal Processing, 139, 131-135, Oct. 2017.
T. Trigano, Y. Sepulcre and Y. Ritov, “Sparse Reconstruction Algorithm for Nonhomogeneous Counting Rate Estimation”, IEEE Transactions in Signal Processing, Vol. 65(2), pp 372-385