Shafkat Kibria

Shafkat Kibria

Assistant Professor
Computer Science & Engineering

Contact Information

Cell Phone: 01972601050

Biography

I was born in Howapara, Sylhet, Bangladesh in 1978. I received the B.Sc. degree in Computer Science from East-West University, Dhaka, in 2001 and the M.Sc. degree in Computer Science from Umeå University, Umeå, Sweden in 2005. I am currently working as an Assistant Professor in the Dept. of CSE, Leading University, Sylhet. Besides that, I am pursuing a Ph.D. degree in computer science at Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh.
I started my career as a Software Engineer; after completing my Bachelor degree, I worked as a Software developer in Beximco Computers Ltd., Dhaka, Bangladesh from June 2002 to August 2004 and in Aero-Syn Infotech Ltd., Dhaka from May 2001 to May 2002. From September 2006 to October 2007, I was a Lecturer in Sylhet International University, Sylhet, Bangladesh. From 2007 to 2008, I worked as Research Assistant at an EU project (DustBot) in AASS Research Center, Örebro, Sweden. From November 2008 to December 2010, I was working as a Software Engineering Consultant in a software company named System Resources Ltd. in Dhaka. In 2011, I joined Manarat International University (MIU), Dhaka as a Lecturer; from 2016 to Feb’2020, I had been an Assistant Professor with the Dept. of CSE, MIU, Dhaka; that time, I was in study leave. From 2016 to date, I am working as Ph.D. Research Fellow in HEQEP project - “Development of Multi-Platform Speech and Language Processing Software for Bangla” (CP3888 – https://sustbanglaresearch.org/) at Dept. of CSE, SUST. My research interests include Speech Recognition, Accent Analysis, Bangla Speech to Text, Bangla Natural Language Processing, Human-Robot Interaction (HRI), Machine Learning systems (behavior-based robotics), Mobile robotics (path planning, outdoor robotics), Human-Computer Interaction (HCI), Financial Computation & Analysis for Decision Making, Embedded System based smart & Ubiquitous Environment.
I have also reviewed several journal papers as a peer reviewer. Here is my "Publons" profile https://publons.com/researcher/3032649/shafkat-kibira/

Publications

Performance Analysis of Convolutional Neural Network Architectures for the Identification of COVID-19 from Chest X-ray Images

Citation: Tanvir Anjum, Tanzil Ebad, Shadman Sakib, Shafkat Kibria “Performance Analysis of Convolutional Neural Network Architectures for the Identification of COVID-19 from Chest X-ray Images”, in proceedings of 2022 IEEE 12th Annual Computing and Communication Workshop and Conference(CCWC), March 2022, pp. 0446-0452, doi: 10.1109/CCWC54503.2022.9720862. URL: https://ieeexplore.ieee.org/document/9720862 Abstract: The 2019 Novel Coronavirus (COVID-19) has spread quickly […]

Read More...

Bangladeshi Bangla Speech Corpus for Automatic Speech Recognition Research

Citation: S. Kibria, A. M. Samin, M. H. Kobir, M. S. Rahman, M. R. Selim, and M. Z. Iqbal “Bangladeshi Bangla Speech Corpus for Automatic Speech Recognition Research,” in Speech Communication, Volume 136(January 2022): Pages 84-97, doi:10.1016/j.specom.2021.12.004 URL: https://doi.org/10.1016/j.specom.2021.12.004, Speech Communication is a publication of the European Association for Signal Processing (EURASIP)(http://www.eurasip.org) and the International […]

Read More...

Deep learning based large vocabulary continuous speech recognition of an under-resourced language Bangladeshi Bangla

Citation: A. M. Samin, M. H. Kobir, S. Kibria, and M. S. Rahman, “Deep learning based large vocabulary continuous speech recognition of an under-resourced language Bangladeshi Bangla,” in Acoust. Sci. & Tech., the Acoustical Society of Japan, vol. 45, Issue 5, pp. 252-260, 2021, doi:10.1250/ast.42.252 URL: https://doi.org/10.1250/ast.42.252 Abstract: Research in corpus-driven Automatic Speech Recognition (ASR) […]

Read More...

Acoustic Analysis of the Speakers’ Variability for Regional Accent-Affected Pronunciation in Bangladeshi Bangla: A Study on Sylheti Accent

Citation: S. Kibria, M. S. Rahman, M. R. Selim and M. Z. Iqbal, “Acoustic Analysis of the Speakers’ Variability for Regional Accent-Affected Pronunciation in Bangladeshi Bangla: A Study on Sylheti Accent,” in IEEE Access, vol. 8, pp. 35200-35221, 2020, doi: 10.1109/ACCESS.2020.2974799. URL: https://ieeexplore.ieee.org/document/9001082 Abstract: Accented pronunciation variability is one of the key elements that deteriorate […]

Read More...

Towards Lexicon-free Bangla Automatic Speech Recognition System

Citation: M. M. Hasan, M. A. Islam, S. Kibria and M. S. Rahman, “Towards Lexicon-free Bangla Automatic Speech Recognition System,” 2019 International Conference on Bangla Speech and Language Processing (ICBSLP), Sylhet, Bangladesh, 2019, pp. 1-6, doi: 10.1109/ICBSLP47725.2019.201544. URL: https://ieeexplore.ieee.org/document/9084037 Abstract: This article presents a lexicon-free Automatic Speech Recognition (ASR) system for the Bangla language and […]

Read More...

Continuous Bengali Speech Recognition Based On Deep Neural Network

Citation: M. A. A. Amin, M. T. Islam, S. Kibria and M. S. Rahman, “Continuous Bengali Speech Recognition Based On Deep Neural Network,” 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox’sBazar, Bangladesh, 2019, pp. 1-6, doi: 10.1109/ECACE.2019.8679341. URL: https://ieeexplore.ieee.org/document/8679341 Abstract: Nowadays, deep learning is the most reliable approaches in the field of […]

Read More...

Acoustic Analysis of Accent-Specific Pronunciation Effect on Bangladeshi Bangla: A Study on Sylheti Accent

Citation: S. Kibria, M. Shahidur Rahman, M. Reza Selim and M. Zafar Iqbal, “Acoustic Analysis of Accent-Specific Pronunciation Effect on Bangladeshi Bangla: A Study on Sylheti Accent,” 2018 International Conference on Bangla Speech and Language Processing (ICBSLP), Sylhet, 2018, pp. 1-4, doi: 10.1109/ICBSLP.2018.8554609. URL: https://ieeexplore.ieee.org/document/8554609 Abstract: The speakers’ variability caused by accent is one of […]

Read More...

Bangla Speech Recognition for Voice Search

Citation:J. Rahman Saurav, S. Amin, S. Kibria and M. Shahidur Rahman, “Bangla Speech Recognition for Voice Search,” 2018 International Conference on Bangla Speech and Language Processing (ICBSLP), Sylhet, 2018, pp. 1-4, doi: 10.1109/ICBSLP.2018.8554944. URL:https://ieeexplore.ieee.org/document/8554944 Abstract: In this work, different Gaussian Mixture Model-Hidden Markov Model(GMM-HMM) based and Deep Neural Network (DNN-HMM) based models have been analyzed […]

Read More...

VOICE USER INTERFACE IN ROBOTICS – COMMON ISSUES AND PROBLEMS

Citation: Shafkat Kibria and Thomas Hellström, Voice User Interface in Robotics? Common Issues and Problems. Proceedings of IEEE Systems, Man and Cybernetics Society United Kingdom & Republic of Ireland Chapter 6th Conference on Cybernetic Systems, September 6-7, 2007 University College Dublin, Ireland, pp. 69 – 73 URL: http://130.243.105.49/Research/Learning/publications/2007/Kibria_Hellstrom_2007-CS07-Voice_User_Interface_in_Robotics_Common_Issues_and_Problems.pdf Abstract: The area of human machine interaction […]

Read More...

Speech Recognition for Robotic Control

Citation: Shafkat Kibria, Speech Recognition for Robotic Control. M.Sc. Thesis, Umeå University, 2005. URL: http://www8.cs.umu.se/education/examina/Rapporter/ShafkatKibria.pdf Abstract: The term “robot” generally connotes some anthropomorphic (human-like) appearance [24]. Brooks [5] research coined some research issues for developing humanoid robot and one of the significant research issues is to develop machine that have human-like perception. What is human-like […]

Read More...