Dr. Shafkat Kibria

Dr. 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 have recently completed my Ph.D. degree (i.e. the degree was awarded on 23rd March, 23) in computer science and engineering at Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh. Since March 2020, I have been serving as an Assistant Professor at the Dept. of CSE, Leading University, 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 Feb, 2023, I was 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/ and “ResearchGate” profile https://www.researchgate.net/profile/Shafkat-Kibria

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 […]

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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 […]

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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) […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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