Personal information

Websites & social links

Official Website
Linkedin
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Research Gate

Other IDs

Scopus Author ID: 55476511200

Keywords

Machine Learning, Deep Learning, Data Science, Computer Science, Big Data, AI, Medical Image Analysis, Signal Processing, Wearable Sensor Data Analysis, Speech and Audio Processing

Countries

Australia, Canada, Bangladesh

Biography

Sujan Kumar Roy earned his Ph.D. in Machine Learning and Computer Engineering with Distinction from Griffith University, Australia, in 2021, receiving the "Award of Excellence in the Research Thesis" and consideration for the "Chancellor's Medal for Excellence in Ph.D. Thesis 2021." He holds an M.A.Sc. in Electrical and Computer Engineering from Concordia University, Canada, and B.Sc. and M.Sc. degrees with Distinctions in Computer Science and Engineering from the University of Rajshahi, Bangladesh.
Dr. Roy is currently an Assistant Teaching Professor in Computer Science at Michigan Technological University, where his teaching areas focus on Computational Intelligence, Foundations of Data Science, Machine Learning, Data Mining, and Introduction to Data Science. His research addresses the applications of AI, ML, DL, and Data Science in Cybersecurity, Medical Image Analysis, Healthcare Systems, and Speech Enhancement. In his free time, he enjoys traveling, exploring cultures, watching movies, and reading.

Activities

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Employment (3)

Michigan Technological University: Houghton, US

2024-08-12 to present | Assistant Teaching Professor (Computer Science)
Employment
Source: Self-asserted source
Sujan Kumar Roy

University of Rajshahi: Rajshahi, Bangladesh, BD

2022-01-17 to 2024-07-31 | Associate Professor (Computer Science & Engineering)
Employment
Source: Self-asserted source
Sujan Kumar Roy

University of Rajshahi: Rajshahi, Bangladesh, BD

2013-03-18 to 2022-01-16 | Assistant Professor (Computer Science & Engineering)
Employment
Source: Self-asserted source
Sujan Kumar Roy

Education and qualifications (4)

Griffith University: Brisbane, QLD, AU

2017-10-16 to 2021-05-04 | Doctor of Philosophy (PhD) (School of Engineering and Built Environment)
Education
Source: Self-asserted source
Sujan Kumar Roy

Concordia University: Montreal, QC, CA

2013-05-21 to 2016-01-12 | Master of Science (M.A.Sc) (Electrical & Computer Engineering)
Education
Source: Self-asserted source
Sujan Kumar Roy

University of Rajshahi: Rajshahi, Rajshahi, BD

2008-07-01 to 2009-12-22 | Master of Science (M.Sc) (Computer Science & Engineering)
Education
Source: Self-asserted source
Sujan Kumar Roy

University of Rajshahi: Rajshahi, Rajshahi, BD

2003-03-15 to 2008-02-15 | Bachelor of Science (B.Sc) (Computer Science & Engineering)
Education
Source: Self-asserted source
Sujan Kumar Roy

Professional activities (3)

ISCA: Brisbane, QLD, AU

Membership
Source: Self-asserted source
Sujan Kumar Roy

APSIPA : Brisbane, QLD, AU

Membership
Source: Self-asserted source
Sujan Kumar Roy

IEEE: Brisbane, QLD, AU

2021-01-01 to present | Graduate Student Member
Membership
Source: Self-asserted source
Sujan Kumar Roy

Works (25)

Robustness and sensitivity metrics-based tuning of the augmented Kalman filter for single-channel speech enhancement

Applied Acoustics
2022 | Journal article
DOI: 10.1016/j.apacoust.2021.108355
EID:

2-s2.0-85116009780

Part of ISSN: 1872910X 0003682X
Contributors: Roy, S.K.; Paliwal, K.K.
Source: Self-asserted source
Sujan Kumar Roy via Scopus - Elsevier

On supervised LPC estimation training targets for augmented Kalman filter-based speech enhancement

Speech Communication
2022-06-25 | Journal article
DOI: 10.1016/j.specom.2022.06.004
Part of ISSN: 0167-6393
Source: Self-asserted source
Sujan Kumar Roy

DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-based Speech Enhancement

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2021.3077281
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2021.3075209
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

A noise PSD estimation algorithm using derivative-based high-pass filter in non-stationary noise conditions

EURASIP Journal on Audio, Speech, and Music Processing
2021-12 | Journal article
DOI: 10.1186/s13636-021-00220-9
Part of ISSN: 1687-4722
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Robustness and Sensitivity Tuning of the Kalman Filter for Speech Enhancement

Signals
2021-07-12 | Journal article
DOI: 10.3390/signals2030027
Part of ISSN: 2624-6120
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Causal Convolutional Neural Network-Based Kalman Filter for Speech Enhancement

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
2020 | Conference paper
DOI: 10.1109/CSDE50874.2020.9411565
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Deep learning with augmented Kalman filter for single-channel speech enhancement

Proceedings - IEEE International Symposium on Circuits and Systems
2020 | Conference paper
EID:

2-s2.0-85093927187

Part of ISSN: 02714310
Contributors: Roy, S.K.; Nicolson, A.; Paliwal, K.K.
Source: Self-asserted source
Sujan Kumar Roy via Scopus - Elsevier

Deep Residual Network-Based Augmented Kalman Filter for Speech Enhancement

2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
2020 | Conference paper
Source: Self-asserted source
Sujan Kumar Roy

Deep Residual Network-Based Augmented Kalman Filter for Speech Enhancement

2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings
2020 | Conference paper
EID:

2-s2.0-85100045232
Contributors: Roy, S.K.; Paliwal, K.K.
Source: Self-asserted source
Sujan Kumar Roy via Scopus - Elsevier

Sensitivity Metric-Based Tuning of the Augmented Kalman Filter for Speech Enhancement

2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)
2020 | Conference paper
DOI: 10.1109/ICSPCS50536.2020.9310005
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 3)‎

Causal Convolutional Encoder Decoder-Based Augmented Kalman Filter for Speech Enhancement

2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)
2020-12-14 | Conference paper
DOI: 10.1109/icspcs50536.2020.9310011
ISBN: 9781728199726
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 3)‎

Deep Learning with Augmented Kalman Filter for Single-Channel Speech Enhancement

2020 IEEE International Symposium on Circuits and Systems (ISCAS)
2020-10 | Conference paper
DOI: 10.1109/iscas45731.2020.9180820
Part of ISBN: 9781728133201
Source: Self-asserted source
Sujan Kumar Roy

A Deep Learning-Based Kalman Filter for Speech Enhancement

Interspeech 2020
2020-10-25 | Conference paper
DOI: 10.21437/interspeech.2020-1551
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

An Iterative Kalman Filter with Reduced-Biased Kalman Gain for Single Channel Speech Enhancement in Non-stationary Noise Condition

International Journal of Signal Processing Systems
2019-04-02 | Journal article
DOI: 10.18178/ijsps.7.1.7-13
Source: Self-asserted source
Sujan Kumar Roy

A Non-Iterative Kalman Filter for Single Channel Speech Enhancement in Non-Stationary Noise Condition

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)
2018 | Conference paper
DOI: 10.1109/ICSPCS.2018.8631732
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Single channel speech enhancement using subband iterative Kalman filter

2016 IEEE International Symposium on Circuits and Systems (ISCAS)
2016 | Conference paper
DOI: 10.1109/ISCAS.2016.7527352
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 4)‎

Single Channel Speech Enhancement using Kalman Filter

M. A. Sc. Thesis
2016-01-15 | Dissertation or Thesis
Source: Self-asserted source
Sujan Kumar Roy

Pitch estimation of noisy speech using ensemble empirical mode decomposition and dominant harmonic modification

2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)
2014 | Conference paper
DOI: 10.1109/CCECE.2014.6900972
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Robust Pitch Estimation using Ensemble Empirical Mode Decomposition

Proc. 7th International Conference on Speech Prosody 2014
2014 | Conference paper
DOI: 10.21437/SpeechProsody.2014-94
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Adaptive thresholding approach for robust voiced/unvoiced classification

2011 IEEE International Symposium of Circuits and Systems (ISCAS)
2011 | Conference paper
DOI: 10.1109/ISCAS.2011.5938089
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Dominant harmonic modification with data adaptive filter based algorithm for robust pitch estimation

2011 IEEE International Symposium of Circuits and Systems (ISCAS)
2011 | Conference paper
DOI: 10.1109/ISCAS.2011.5938091
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Harmonic modification and data adaptive filtering based approach to robust pitch estimation

International Journal of Speech Technology
2011 | Journal article
DOI: https://doi.org/10.1007/s10772-011-9112-6
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Pitch estimation of noisy speech signals using EMD-fourier based hybrid algorithm

Proceedings of 2010 IEEE International Symposium on Circuits and Systems
2010 | Conference paper
DOI: 10.1109/ISCAS.2010.5537054
Source: Self-asserted source
Sujan Kumar Roy
grade
Preferred source (of 2)‎

Robustness and Sensitivity Tuning of the Kalman Filter for Speech Enhancement
Source: check_circle
Multidisciplinary Digital Publishing Institute

Peer review (17 reviews for 6 publications/grants)

Review activity for Franklin open. (2)
Review activity for IEEE access : (3)
Review activity for IEEE signal processing letters. (2)
Review activity for IEEE/ACM transactions on audio, speech, and language processing. (7)
Review activity for IET signal processing. (2)
Review activity for SN computer science. (1)
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