Dr. Mrinal Kanti Baowaly
Associate Professor
Department of Computer Science and Engineering
Gopalganj Science and Technology University, Gopalganj-8105, Bangladesh.
Email: baowaly@gmail.com, baowaly@bsmrstu.edu.bd
Associate Professor
Department of Computer Science and Engineering
Gopalganj Science and Technology University, Gopalganj-8105, Bangladesh.
Email: baowaly@gmail.com, baowaly@bsmrstu.edu.bd
Machine Learning
Deep Learning
Data Science
Computer Vision
Natural Language Processing
Social Network Analysis
Health Informatics
[Google Scholar] [ResearchGate] [Scopus] [DBLP] [ORCID] [Web of Science]
Mrinal Kanti Baowaly, Bisnu Chandra Sarkar, Md Abul Ala Walid, Md Martuza Ahamad, et al, “Deep transfer learning-based bird species classification using mel spectrogram images”, PLoS ONE, vol. 19, no. 8, August 12, 2024.
Md. Omar Faruq, Md. Abul Ala Walid, Mrinal Kanti Baowaly, Maloy Kumar Devnath, et al, “Shielding privacy: a technique of extenuating composition attacks in various independent data publication”, Bulletin of Electrical Engineering and Informatics, vol. 13, no. 4, August 1, 2024.
Md Abul Ala Walid, Swarnali Mollick, Pintu Chandra Shill, Mrinal Kanti Baowaly, et al, “Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification”, Diagnostics, MDPI, vol. 13, no. 19, 9 October 2023.
Nilufa Yeasmin, Nosin Ibna Mahbub, Mrinal Kanti Baowaly, Bikash Chandra Singh, et al, “Analysis and Prediction of User Sentiment on COVID-19 Pandemic Using Tweets”, Big Data and Cognitive Computing, MDPI, vol. 6, no. 2, 10 June 2022.
Mrinal Kanti Baowaly, George William Kibirige, Bikash Chandra Singh, “Co-Comment Network: A Novel Approach to Construct Social Networks within Reddit”, 8th International Symposium on Language & Knowledge Engineering(LKE 2021), appears in Computación y Sistemas, vol. 26, no. 1, pp. 311-323, March 2022.
Bikash Chandra Singh, Zulfikar Alom, Haibo Hu, Mohammad Muntasir Rahman, Mrinal Kanti Baowaly, Zeyar Aung, Mohammad Abdul Azim, Mohammad Ali Moni, “COVID-19 Pandemic Outbreak in the Subcontinent: A Data Driven Analysis”, Journal of Personalized Medicine. vol. 11, no. 9, pp. 889, September 2021, https://doi.org/10.3390/jpm11090889.
Md. Protikuzzaman, Mrinal Kanti Baowaly, Maloy Kumar Devnath, Bikash Chandra Singh, “Predicting Undergraduate Admission: A Case Study in Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh”, International Journal of Advanced Computer Science and Applications(IJACSA). vol. 11, no. 12, 2020.
Mrinal Kanti Baowaly, Chao-Lin Liu, Kuan-Ta Chen, “Realistic Data Synthesis Using Enhanced Generative Adversarial Networks”, IEEE Xplore: appears in 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE'2019), Sardinia, Italy, 3-5 June 2019, pp. 289-292.
Mrinal Kanti Baowaly, Yi-Pei Tu, Kuan-Ta Chen, “Predicting the helpfulness of game reviews: a case study on the Steam store”, Journal of Intelligent & Fuzzy Systems, vol. 36, no. 5, pp. 4731-4742, May 2019.
Mrinal Kanti Baowaly, Chia-Ching Lin, Chao-Lin Liu, Kuan-Ta Chen, “Synthesizing electronic health records using improved generative adversarial networks”, Journal of the American Medical Informatics Association, vol. 26, no. 3, pp. 228–241, March 2019, https://doi.org/10.1093/jamia/ocy142.
Md. Fahim Sikder, Sajal Halder, Tanvir Hasan, Md. Jamal Uddin, Mrinal Kanti Baowaly, “Smart Disaster Notification System”, IEEE Xplore: appears in 2017 In 4th International Conference on Advances in Electrical Engineering (ICAEE), pp. 658-663, 28 September 2017.
Mrinal Kanti Baowaly, Uzzal Podder, Cheng-Te Li, “Understanding foursquare venue popularity in Taiwan and a comparative study with the USA”, IEEE Xplore: appears in 2016 19th International Conference on Computer and Information Technology (ICCIT’16), pp. 48-55, 18-20 December 2016.
Mrinal Kanti Baowaly, Moniruzzaman Bhuiyan, “Accessibility Analysis and Evaluation of Bangladesh Government Websites”, IEEE Xplore: appears in International Conference on Informatics, Electronics & Vision, pp. 46-51, 18-19 May 2012.
Ali Newaz Bahar, Mrinal Kanti Baowaly, Abhijit Chakraborty, “An Intelligent Approach of Regulating Electric-Fan Adapting to Temperature and Relative Humidity”, International Journal of Intelligent Systems and Applications, vol. 4, no. 7, pp. 61-69, June 2012.
Sajib Kumar Saha, Mrinal Kanti Baowaly, Md. Rafiqul Islam, Md. Masudur Rahman “Lossless compression of JPEG and GIF files through lexical permutation sorting with Greedy Sequential Grammar Transform based compression”, IEEE Xplore: appears in 10th International Conference on Computer and Information Technology, pp. 1-5, 27-29 December 2007.
Sajib Saha, Mrinal Kanti Baowaly, Md. Rafiqul Islam, “Application of Reflected Ordering in Burrows-Wheeler Transform for Lossless Compression of JPEG and GIF Files”, Proceedings of the 9th International Conference on Computer and Information Technology, 2006.
Sajib Saha, Mrinal Kanti Baowaly, Md. Rafiqul Islam, “A Modification of Greedy Sequential Grammar Transform based Universal Lossless Data Compression”, Proceedings of the 9th International Conference on Computer and Information Technology, 2006.
Sajib Saha, Mrinal Kanti Baowaly, Md. Rafiqul Islam, “A New Approach for Lossless Compression of JPEG and GIF Files Using Bit Reduction and Greedy Sequential Grammar Transform”, Proceedings of the 9th International Conference on Computer and Information Technology, 2006.
Realistic Data Synthesis Using Enhanced Generative Adversarial Networks [done]
To generate realistic synthetic data so that people can use it freely
The induced synthetic data would be not only statistically sound but also good enough for application purposes, e.g., machine learning tasks
Exploring Foursquare Venue Popularity and its temporal variation [done]
Which are the popular venues
What kinds of venues are popular
Finding temporal variations of popularity
Analyzing venue popularity
Sampling Social Network Structure for Efficient Influence Maximization [done]
Sometimes for a large social graph, it is very time-consuming to find out the seed set using the traditional influence maximization algorithms. The aim of this project is to find out a representative sample graph that shows nearly the same result (seeds) as the original graph.
Building Social Network from Reddit-Comment Dataset and Analysis its Social Network Properties [done]
Construct a social network
Validate the social network by analyzing its social properties
Finding communities and evaluating them
Ph.D. Thesis:
Title: “Realistic Data Synthesis Using Enhanced Generative Adversarial Networks”, Field: Synthetic Data Generation, Generative Adversarial Networks, Deep Learning
M.Sc. Thesis:
Title: “Accessibility Evaluation and Analysis of Government-Websites’ in Developing Countries: Case Study Bangladesh and Nigeria”, Field: Web Technology, Human-Computer Interaction, Web Accessibility
B.Sc. Thesis:
Title: “An Enhancement of Greedy Sequensial Grammar Transform Through Block Sorting For Lossless Data Compression”, Field: Lossless Data Compression