Dr Joyraj Chakraborty
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Email
joyraj.chakraborty@essex.ac.uk -
Location
Colchester Campus
Profile
Biography
Dr. Chakraborty is working as a Machine learning researcher at the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex, Colchester, United Kingdom. Current research work is associated to improve the voice codec using machine learning. He received his BSc degree from the Daffodil International University, Dhaka, Bangladesh, and his MSc degree from the Blekinge Institute of Technology, Sweden, in 2013, all in electrical engineering with an emphasis on signal processing. He received his PhD degree in Civil and Mechanical engineering from the Silesian Technical University, Poland, in 2020. He worked for KU Leuven, Belgium, and the University of Twente, Nederlands, from 2014 to 2017, where he was involved in indoor acoustic localization and FBG sensors for asphalt systems. He was involved in multiple European projects as a PI and Co-PI. His current research interests include machine learning, signal processing, intelligent control systems, and ultrasonic and acoustic SHM systems.
Qualifications
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PhD Silesian institute of technology, (2020)
Appointments
University of Essex
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Machine Learning Researcher, School of Computer Science and Electronic Engineering (CSEE), University of Essex (14/1/2022 - present)
Publications
Journal articles (9)
Chakraborty, J., Wang, X. and Stolinski, M., (2022). Analysis of Sensitivity of Distance between Embedded Ultrasonic Sensors and Signal Processing on Damage Detectability in Concrete Structures. Acoustics. 4 (1), 89-110
Chakraborty, J. and Stolinski, M., (2022). Signal-Level Fusion Approach for Embedded Ultrasonic Sensors in Damage Detection of Real RC Structures. Mathematics. 10 (5), 724-724
Chakraborty, J., Wang, X. and Stolinski, M., (2021). Damage Detection in Multiple RC Structures Based on Embedded Ultrasonic Sensors and Wavelet Transform. Buildings. 11 (2), 56-56
Wang, X., Chakraborty, J. and Niederleithinger, E., (2021). Noise Reduction for Improvement of Ultrasonic Monitoring Using Coda Wave Interferometry on a Real Bridge. Journal of Nondestructive Evaluation. 40 (1)
Wang, X., Chakraborty, J., Bassil, A. and Niederleithinger, E., (2020). Detection of Multiple Cracks in Four-Point Bending Tests Using the Coda Wave Interferometry Method. Sensors. 20 (7), 1986-1986
Chakraborty, J., Katunin, A., Salamak, M., Klikowicz, P. and Stolinski, M., (2020). Damage Detection in Four Point Bending Test on Benchmark RC Structure Using Feature based Fusion. Procedia Structural Integrity. 25, 324-333
Chakraborty, J., Katunin, A., Klikowicz, P. and Salamak, M., (2019). Early Crack Detection of Reinforced Concrete Structure Using Embedded Sensors. Sensors. 19 (18), 3879-3879
Chakraborty, J., Katunin, A., Klikowicz, P. and Salamak, M., (2019). Embedded ultrasonic transmission sensors and signal processing techniques for structural change detection in the Gliwice bridge. Procedia Structural Integrity. 17, 387-394
Chakraborty, J. and Katunin, A., (2018). Detection of structural changes in concrete using embedded ultrasonic sensors based on autoregressive model. Diagnostyka. 20 (1), 103-110
Conferences (5)
Chakraborty, J., Reed, M., Thomos, N., Pratt, G. and Wilson, N., (2023). Machine learning based noise suppression in narrow-band speech communication systems
Chakraborty, J., Stolinski, M. and Katunin, A., (2019). Addressing the detection capability for scalable energy consumption using primary data acquisition system of embedded ultrasonic sensors in SHM
Chakraborty, J., Ottoy, G., Gelaude, M., Goemaere, J-P. and De Strycker, L., (2014). Acoustic localization of unknown sources with wireless sensor nodes
Chakraborty, J., Ottoy, G., Goemaere, J-P. and De Strycker, L., (2014). Modeling acoustic localization accuracy for scalable energy consumption in wireless sensor swarms
Chakraborty, J., Varma, JVKC. and Erman, M., (2014). ANFIS based opportunistic power control for cognitive radio in spectrum sharing
