Osama Bin Tariq

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 33^rd cycle (2017-2020)

Ph.D. obtained in 2021

Profile

Research topic

Neural network-based indoor tag-less localization using capacitive sensors

Research interests

Big Data, Machine Learning, Neural Networks and Data Science

Biomedical devices and applications

Geo-positioning, Navigation Systems and Remote sensing

Systems, Automation and Control

Biography

Osama Bin Tariq currently works at the Department of Electronics and Telecommunications, Politecnico di Torino. Osama does research in Long Range Capacitive Sensors and Artificial Intelligence. Their most recent publication is 'Neural network-based indoor tag-less localization using capacitive sensors'.
Long Range Capacitive Sensors together with Artificial Intelligence are aimed to produce device-free localization for health care of elderly, living independently.
Osama also does research in resolving congestion issues in FPGA implementations using High Level Synthesis tools.

Teaching

Teachings

Bachelor of Science

Elettronica applicata. A.A. 2018/19, INGEGNERIA INFORMATICA. Collaboratore del corso

MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in Porto@Iris

BIN TARIQ, Osama; Shan, Junnan; Floros, Georgios; Sotiriou, Christos P.; Casu, Mario R.; ... (2021)
High-Level Annotation of Routing Congestion for Xilinx Vivado HLS Designs. In: IEEE ACCESS, vol. 9, pp. 54286-54297. ISSN 2169-3536
Contributo su Rivista
Bin Tariq, O.; Lazarescu, M. T.; Lavagno, L. (2021)
Neural Networks for Indoor Person Tracking With Infrared Sensors. In: IEEE SENSORS LETTERS, vol. 5, pp. 1-4. ISSN 2475-1472
Contributo su Rivista
BIN TARIQ, Osama (2021)
Machine Learning Techniques for Device-Free Indoor Person Tracking. relatore: LAZARESCU, MIHAI TEODOR; , 33. XXXIII Ciclo, P.: 111
Doctoral Thesis
Bin Tariq, Osama; Lazarescu, Mihai Teodor; Lavagno, Luciano (2020)
Neural Networks for Indoor Human Activity Reconstructions. In: IEEE SENSORS JOURNAL, vol. 20, pp. 13571-13584. ISSN 1530-437X
Contributo su Rivista
Tariq, Osama Bin; Lazarescu, Mihai Teodor; Lavagno, Luciano (2019)
Neural network-based indoor tag-less localization using capacitive sensors. In: 21st International Conference on Ubiquitous and Pervasive Computing (Ubicomp) 2019 and the International Symposium on Wearable Computing (ISWC) 2019, London, United Kingdom, September 09 - 13, 2019, pp. 9-12. ISBN: 9781450368698
Contributo in Atti di Convegno (Proceeding)
Iqbal, Javed; Lazarescu, MIHAI TEODOR; BIN TARIQ, Osama; Arif, Arslan; Lavagno, Luciano (2018)
Capacitive sensor for tagless remote human identification using body frequency absorption signatures. In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 67, pp. 789-797. ISSN 0018-9456
Contributo su Rivista
Iqbal, Javed; Arif, Arslan; BIN TARIQ, Osama; Lazarescu, MIHAI TEODOR; Lavagno, Luciano (2017)
A Contactless Sensor for Human Body Identification using RF Absorption Signatures. In: 2017 IEEE Sensors applications symposium (SAS), Glassboro, NJ, USA, 13-15 marzo 2017, pp. 1-6. ISBN: 978-1-5090-3202-0
Contributo in Atti di Convegno (Proceeding)
Iqbal, Javed; Lazarescu, MIHAI TEODOR; BIN TARIQ, Osama; Lavagno, Luciano (2017)
Long range, high sensitivity, low noise capacitive sensor for tagless indoor human localization. In: 2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI), Vieste, Italia, 15-16 giugno 2017, pp. 189-194. ISBN: 978-1-5090-6707-7
Contributo in Atti di Convegno (Proceeding)
BIN TARIQ, Osama; Lazarescu, MIHAI TEODOR; Iqbal, Javed; Lavagno, Luciano (2017)
Performance of machine learning classifiers for indoor person localization with capacitive sensors. In: IEEE ACCESS, vol. 5, pp. 12913-12926. ISSN 2169-3536
Contributo su Rivista

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