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sujan@ru.ac.bd

R-223, DR. M. A. Wazed Miah Academic Building, Department of Computer Science and Engineering, University of Rajshahi, Rajshahi 6205, Bangladesh


SUJAN KUMAR ROY
ASSOCIATE PROFESSOR
Computer Science & Engineering


Education Summary  
Ph. D. (Griffith University, Australia), M. A. Sc. (Concordia University, Canada), M. Sc. (University of Rajshahi, Bangladesh), B. Sc. (Honours) (University of Rajshahi, Bangladesh)

Research Interest  
Design Machine/Deep learning algorithms for big data analysis, including medical image analysis, wearable sensor data analysis, Cybersecurity, and speech intelligibility enhancement.
Level Institution Year
Doctoral
(Doctor of Philosophy (Ph. D.))
Griffith University, Brisbane, Australia 2021
Masters
(Master of Applied Science (M.A.Sc.) (Research Based))
Concordia University, Montreal, Canada 2016
Masters
(Master of Science (M. Sc.) (Research Based))
University of Rajshahi, Rajshahi, Bangladesh 2010
Bachelor/Honors
(Bachelor of Science (B. Sc.) (Honours) (4 Years Integrated Honours))
University of Rajshahi, Rajshahi, Bangladesh 2008

Experience in Rajshahi University

Duration Organization/Institute Position
2022-01-17 to Computer Science & Engineering ASSOCIATE PROFESSOR
2013-03-19 to 2022-01-16 Computer Science & Engineering ASSISTANT PROFESSOR
2010-03-18 to 2013-03-18 Computer Science & Engineering LECTURER

Experience in other Organization/Institute

Duration Organization/Institute Position
2017-10-16 to 2021-07-20 School of Engineering & Built Environment, Griffith University, Australia Research Assistant
2017-10-16 to 2021-05-04 Signal Processing Laboratory, Griffith University, Brisbane, Australia Researcher leading to Ph. D.
2013-05-22 to 2015-12-22 Dept. of Electrical & Computer Engineering, Concordia University, Canada Teaching Assistant
2013-05-22 to 2016-02-29 Dept. of Electrical & Computer Engineering, Concordia University, Canada Research Assistant
2010-03-01 to 2012-03-31 Dept. of Computer Science & Engineering, University of Rajshahi, Bangladesh & Tokyo University, Japan Guest Researcher
2010-03-01 to 2013-03-31 University of Rajshahi, Bangladesh (Funded by World Bank) Technical Consultant (Part-Time) in Network Extension and Office Automation Project
2010-03-01 to 2010-12-31 University of Rajshahi, Bangladesh (Funded by: University of Rajshahi) Technical Consultant (Part-time) in Smart ID Card Development Pilot Project
2008-07-01 to 2009-12-30 Signal Processing Laboratory, University of Rajshahi, Bangladesh Researcher leading to M. Sc.

Journal

1. S. K. Roy, A. Nicolson, and K. K. Paliwal "On Supervised LPC Estimation Training Targets for Augmented Kalman Filter-based Speech Enhancement" in Speech Communication , vol. 142, pp. 49-60

Published: June 2022
2. S. K. Roy and K. K. Paliwal "A Noise PSD Estimation Algorithm using Derivative-based High-pass Filter in Non-stationary Noise Conditions" in EURASIP Journal on Audio, Speech, and Music Processing, 32 (2021)

Published: August 2021
3. S. K. Roy and K. K. Paliwal "Robustness and Sensitivity Metrics-Based Tuning of the Augmented Kalman Filter for Single-Channel Speech Enhancement" in Applied Acoustics, Vol. 185, pp.

Published: August 2021
4. S. K. Roy and K. K. Paliwal "Robustness and Sensitivity Tuning of the Kalman Filter for Speech Enhancement" in signals, vol. 2, pp. 434-455

Published: July 2021
5. S. K. Roy, A. Nicolson, and K. K. Paliwal "DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-based Speech Enhancement" in IEEE Access, vol. 9, pp. 70516-70530

Published: May 2021
6. S. K. Roy, A. Nicolson, and K. K. Paliwal "DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement" in IEEE Access, vol. 9, pp. 64524-64538, 2021

Published: April 2021
7. S. K. Roy and K. K. Paliwal "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, Vol. 7, No. 1, pp. 7-13

Published: March 2019
8. S. K. Roy, M. K. I. Molla, K. Hirose and M. K. Hasan "Harmonic modification and data adaptive filtering based approach to robust pitch estimation" International Journal of Speech Technology, Vol. 14, pp. 339-349, USA

Published: August 2011

Conference

1. S. K. Roy, K. K. Paliwal "Deep Residual Network-Based Augmented Kalman Filter for Speech Enhancement" Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC, New Zealand

Published: December 2020
2. S. K. Roy, K. K. Paliwal "Causal Convolution Encoder Decoder-Based Augmented Kalman Filter for Speech Enhancement" 14th International Conference on Signal Processing and Communication Systems, ICSPCS, Australia

Published: December 2020
3. S. K. Roy, K. K. Paliwal "Sensitivity Metric-Based Tuning of the Augmented Kalman Filter for Speech Enhancement" 14th International Conference on Signal Processing and Communication Systems, ICSPCS, Australia

Published: December 2020
4. Sujan Kumar Roy, Kuldip K. Paliwal "Causal Convolutional Neural Network-Based Kalman Filter for Speech Enhancement" 7th Asia-Pacific Conference on Computer Science and Data Engineering 2020

Published: December 2020
5. S. K. Roy, A. Nicolson, K. K. Paliwal "Deep Learning with Augmented Kalman Filter for Single-Channel Speech Enhancement" 2020 IEEE International Symposium on Circuits and Systems (ISCAS)

Published: October 2020
6. S. K. Roy, A. Nicolson, K. K. Paliwal "A Deep Learning-based Kalman Filter for Speech Enhancement" INTERSPEECH 2020

Published: October 2020
7. S. K. Roy and K. K. Paliwal "A Non-Iterative Kalman Filter for Single Channel Speech Enhancement in Non-Stationary Noise Condition" IEEE 12th International Conference on Signal Processing and Communication Systems (ICSPCS), Cairns, Australia

Published: December 2018
8. S. K Roy, W. P Zhu, and B. Champagne "Single Channel Speech Enhancement Using Subband Iterative Kalman Filter" in Proc. of IEEE Int. Conf. on ISCAS 2016, Montreal, Canada, pp. 762-765 (Won the first prize in ReSMIQ scientific poster contest 2016, Montreal, Canada).

Published: May 2016
9. S. K Roy and W. P Zhu "Pitch Estimation of Noisy Speech using Ensemble Empirical Mode Decomposition and Dominant Harmonic Modification" in Proc. of IEEE Int. Conf. on CCECE, pp. 00354-00357, Toronto, Canada.

Published: May 2014
10. S. K Roy, M. K. Hasan, K. Hirose, M. K. I Molla "Dominant Harmonic Modification and Data Adaptive Filter Based Algorithm for Robust Pitch estimation" in Proc. of IEEE Int. Conf. on ISCAS, pp. 2417-2420

Published: May 2011
11. M. K. I. Molla , K. Hirose, S. K. Roy "Data Adaptive Thresholding Approach for Robust Voiced/Unvoiced Classification" in Proc. of IEEE Int. Conf. on ISCAS, pp. 2409-2412

Published: May 2011
12. S. K Roy, M. K. I. Molla, K. Hirose, M. K. Hasan "Pitch Estimation of Noisy Speech Signals using EMD-Fourier Based Hybrid Algorithm" in Proc. of IEEE Int. Conf. on ISCAS

Published: May 2010

Report

1. S. K Roy and W. P Zhu "“Improved Single Channel Speech Enhancement in Adverse Noise Environments using Iterative Kalman Filter" Submitted to Microsemi Ltd., Ottawa, Canada

Published: February 2016
2. S. K Roy and W. P Zhu "Single Microphone Speech Enhancement using Kalman Filter with Wavelet Filter Bank as Auditory System" Submitted to Microsemi Ltd., Ottawa, Canada

Published: May 2014

Software Engineering

Description Not Provided

Digital Signal Processing

Description Not Provided

Data Mining

M. Sc. Level Course. It focuses on the following topics: 1. Data Preprocessing 2. Exploratory Data Analysis (EDA) 3. Association Rule Mining 4. Classification 5. Clustering 6. Regression Analysis 7. Dimensionality Reduction 8. Anomaly Detection

Running

Computer Networks

Description Not Provided

Operating Systems

Description Not Provided

Object Oriented Programming with C++/Java

Description Not Provided

CSE4121: Object Oriented Design and Design Patterns

This course takes Java beginners to the next level by covering object-oriented analysis and design.

Running

Cybersecurity and Laws

M. Sc. Level Course. This course outlines the Cybersecurity Concepts, Cyber Attacks, Cyber War, Cyber Crime and Laws.

Running

ORCID iD

Skills and Experiences (Deep Learning, AI, and Programming Languages)

a) Statistical Machine Learning Algorithms: I have expertise on Python/R, scikit-learn, pandas, grid searching, random searching and Bayesian Optimization techniques of machine learning algorithms, such as, Decision Tree, Random Forest, SVM, XGBoost, AdaBoost, MLP, and Different Classification and Clustering Algorithms, KNN, Baysen Methods, Cluster Analysis, Pattern Recognition, Multi-dmentional Data Analysis and Visualization.

b) Deep Learning Algorithms: DNN, CNN, Residual Network, Temporal Convolutional Network, Dense Network, Convolutional Encoder-Decoder, Multimodal Learning, Generative Adversarial Networks, Transfer Learning, Unsupervised Learning, Transformer Network, Language Model, Self-Atten Network, Vision Transformer, Reinforcement Learning, and Explainable AI.

c)     I am experienced in using Python, OpenCV, TensorFlow, PyTorch, R, and Keras on the Linux platform for above deep learning algorithm implementation.

d)    I have expertise on Python assisted GPU programming for Big Data Processing, Data Pipelining, including Data Analytics, engineering pipelines (data aggregation and processing, database management, analysis, and visualisation).

e) I have strong expertise on Java, C/C++, Java, .NET, MATLAB, SQL, and PHP.

Responses Experiences

I have 10.5 years of academic-industrial research collaboration, team work, team management in Australia, Bangladesh, Canada, and Japan as summarized below:

a)     Research Fellow in Machine Learning (Jan 2024 to Dec 2024), Queensland University of Technology, Brisbane, Australia. Design Machine Learning, Deep Learning, Transfer Learning Algorithms for Big Data processing, including other Computer Science applications.

b)    Researcher in a Multidisciplinary Collaborative Research Team, University of Rajshahi, Bangladesh [August 2021 to date]. We are doing multidisciplinary research, such as medical decision support systems, cybersecurity and information retrieval, superconductive material discovery, and computational bioinformatics.

c)     Research Assistant in Machine Learning/Signal Processing to Prof. Kuldip K. Paliwal, Griffith University, Australia (Oct 2017 to April 2021) [3.5 Years, Academic Research].

Research Title: Design Machine Learning Algorithms for Speech Enhancement.

My Role in the Research: During my candidature (3.5 years), my main research focus was investigating machine learning algorithms for signal processing and image processing applications.

d)    Research Assistant to Prof. Wei-Ping Zhu, Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Canada (May 2013 to April 2016) [3 Years, Industrial Collaborative Research Project]. I was working as a Researcher and Algorithm Developer at CRD Projects:

    i) Subtitle Failure Detection for Real-time TV Broadcasting Channel using Speech Activity Detection (May 2013-Dec 2013) for Miranda Technology (Canada).

      ii) Single and Multi-Microphone Techniques of Speech Enhancement for Reliable Voice Communications under Adverse Acoustic Conditions--Part I (Mar  2014-Mar 2015) and Part II (May 2015-Feb 2016) sponsored by Microsemi (Canada).

e) Research Assistant to Prof. M. K. I Molla, University of Rajshahi, Bangladesh, and Prof. K. Hirose, Tokyo University, Japan (Mar 2010-Mar 2012) [2 Years, Academic Collaborative Research]: I was working on a collaborative research project in the areas of Speech Enhancement, Pitch Estimation, Speech Activity Detection.

f) PhD Researcher (2017-2021), School of Engineering and Built Environment, Griffith University, Brisbane,Australia.

g) M.Sc Researcher: Dept. of Computer Science & Engineering, University of Rajshahi, Bangladesh (May, 2008 to January 2010).

h) M.A.Sc Researcher: Dept. of Electrical & Computer Engineering, Concordia University, Canada (May 2013 to September 2015).

Invited Talk

  1. S. K Roy, “Workshop on Signal Transformation Techniques,” Organized by Dept. of Statistics, University of Rajshahi, Bangladesh, May 2012.
  2. S. K Roy, “Workshop on Time Series Analysis and Outlier Detection using Data Adaptive Time-domain Filtering Techniques,” Organized by Dept. of Statistics, University of Rajshahi, Bangladesh, Dec 2012.

Reviewer Experiences

  1. IEEE Access
  2. IEEE Transaction on Audio, Speech, and Music Processing
  3. IEEE Transactions on Instrumentation & Measurement
  4. Speech Communication.
  5. Journal of the Franklin Institute.
  6. IET Journal  on Signal Processing.
  7. ETRI Journal
  8. IEEE Co-Sponsored Conferences,  namely DSP, ICAEE, IC4ME2.

Research Interests

  Design Machine/Deep learning algorithms for big data analysis, including medical image analysis, wearable sensor data analysis, Cybersecurity, and speech intelligibility       enhancement.

Supervisor Experiences

  1. Capstone Project: Human Robot Interaction through Voice Command (Jointly with Dr. Wei-Ping Zhu, Dept. of ECE, Concordia University, Canada) (Awarded as the best Capstone project 2013-14).
  2. Undergraduate Project: 9 Projects at Dept. of Computer Science & Engineering, University of Rajshahi, Bangladesh (2010-2012; 2016-2017)


Awards & Scholarships

1.      Awarded Award of Excellence in the Research Thesis from Dean, Griffith Graduate Research School, Griffith University, Australia, May 2021. This award is given to a very high standard PhD thesis according to the unanimous agreement of thesis examiners.   

2.      Considered for the Chancellor’s Medal for Excellence in the PhD Thesis 2021, Griffith University, Australia.

3.      Best Supervisor Award from Dept. of Electrical and Computer Engineering, Concordia University, Montreal, Canada for supervising capstone project for 2013-2014 entitled “Human-Robot Communication Through Voice Command”.

4.      Won the First Prize in Scientific Poster Contest for the paper entitled “Single Channel Speech Enhancement Using Subband Iterative Kalman Filter” (accepted at IEEE ISCAS 2016, Montreal, Canada) organized by ReSMIQ Quebec, Canada (May 2016).

5.      Griffith University International Postgraduate Research Scholarship (GUIPRS), Australia (Oct. 2017 to Oct. 2020 and Oct. 2020 to April 2021 (6 Month Extension)) (Cover full tuition fees for PhD study and health insurance).

6.      Griffith University Postgraduate Research Scholarship (GUPRS), Australia (Oct. 2017 to Oct. 2020 and Oct. 2020 to April 2021 (6 Month Extension)) (AUD 26, 682 per year).

7.      Griffith University Engineering (Top-Up) Scholarship, Australia, from Oct. 2017 to Oct. 2018 and Oct. 2018 to Oct. 2019 (AUD 14000 per year: renewed each year based on excellent performance in research).

8.      Griffith University Engineering LumSum Scholarship, Australia, from Oct. 2019 to Oct 2020 (AUD 14000 per year for excellent performance in research).

9.      Griffith University Engineering LumSum Scholarship, Australia, from Oct. 2020 to April 2021 (6 Month Extension) (AUD 7000 for excellent performance in research).

10.   Griffith University Engineering LumSum Scholarship, Australia, from April 2021 to June 2021 (AUD 3000 for finishing Post PhD activities after Graduation).

11.   Griffith University Conference Travel Grant, Australia, (Covers conference registration fee, return air fare, and hotel accommodations) for presenting a conference paper accepted in IEEE ICSPCS 2018, Cairns, Australia.

12.   GGRS-IEIS Conference Travel Grant, Griffith University, Australia, (AUD 1500) for presenting a conference paper accepted in IEEE ISCAS 2020, Spain.

13.   Griffith University Recreation Allowance, Australia, Oct. 2017 (AUD 1200 one-time allowance upon arrival for PhD study).

14.   Graduate Research Fellowship (GSSP) Award from Concordia University, Montreal, Canada (CAD 10, 000 per year from May 2013 to Dec 2015).

15.   International Tuition Fee Remission Award from Concordia University, Montreal, Canada (May 2013 to Dec 2015).

16.   NSERC-CRD Research Assistant Grant from Concordia University, Montreal, Canada (CAD 8, 000 per year from May 2013 to April 2016).

17.   Teaching Assistance (TA) Grant from Concordia University, Montreal, Canada (May 2015 to Dec 2015).

18.   Conference Travel Grant from Concordia University, Montreal, Canada for presenting a paper accepted in IEEE CCECE 2014, Toronto, Canada.

19. Merit Scholarship from University of Rajshahi, Bangladesh for B. Sc. (Honours) result with distinction.


Country Visited

Canada, Qatar, Australia, Singapore, Turkey.

Membership and other Community Work

  1. IEEE Membership (Signal Processing Society, Circuits and Systems Society).
  2. International Speech Communication Association (ISCA). 
  3. Asia Pacific Signal and Information Processing Association (APSIPA)
  4. Academic Committee Member, Dept. of Computer Science & Engineering, University of Rajshahi, Bangladesh (Since 2010, now on a study leave)
  5. International Speech Communication Association (ISCA) (Since 2020).
  6. Technical Consultant of Network Extension and Office Automation Project of University of Rajshahi, Bangladesh (Mar 2010-Mar 2013, Funded by: World Bank).
  7. Programming Contest, Cultural and Event Management Committee Member, Dept. of Computer Science & Engineering, University of Rajshahi, Bangladesh (Since 2010, now on a study leave).

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