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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Computer Science and Engineering




Mr. Faisal Muhammad Shah



Designation: Associate Professor

Email: faisal.cse@aust.edu

Office Extension: 511

Room No: 7A01/I

Google Scholar Profile

Orcid Profile



Research Interests

  • Text Mining
  • Machine Learning
  • Data Mining
  • Computer Vision
  • Deep Learning

Educational Background

  • Master of Science (MSc), (Computer Science and Engineering), United International University
  • Bachelor of Science (BSc), (Computer Science and Engineering), Ahsanullah University Of Science and Technology

Honors and Achievements

  • Best paper award in Machine Leaning session, 21st International Conference of Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2018, 2018

Publications

  • Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis, 25th International Conference on Computer and Information Technology (ICCIT), 2022
  • Urgent Text Detection in Bengali Language Based on Boosting Techniques, International Conference on Fourth Industrial Revolution and Beyond 2021, 2022
  • XTest: A Parallel Multilingual Corpus with Test Cases for Code Translation and Its Evaluation, 25th International Conference on Computer and Information Technology (ICCIT), 2022
  • A Deep Learning-Based Bengali Visual Question Answering System, 25th International Conference on Computer and Information Technology (ICCIT), 2022
  • Bornon: Bengali Image Captioning with Transformer-Based Deep Learning Approach, SN Computer Science, 2022
  • Rate Insight: A Comparative Study on Different Machine Learning and Deep Learning Approaches for Product Review Rating Prediction in Bengali Language, 25th International Conference on Computer and Information Technology (ICCIT), 2022
  • Video Captioning in Bengali With Visual Attention, 25th International Conference on Computer and Information Technology (ICCIT), 2022
  • Automated COVID‑19 Detection from Chest X‑Ray Images: A High‑Resolution Network (HRNet) Approach, Springer Nature Computer Science, 2021
  • A Comprehensive Survey of COVID-19 Detection Using Medical Images, SN Computer Science, 2021
  • A New Ensemble Model for Phishing Detection Based on Hybrid Cumulative Feature Selection, 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 2021
  • Deep Learning Based Video Captioning in Bengali, 26th International Conference on Automation and Computing (ICAC) 2021, 2021
  • An Automated Approach for the Recognition of Bengali License Plates, 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), 2021
  • Exploring Video Captioning Techniques: A Comprehensive Survey on Deep Learning Methods, SN Computer Science, 2021
  • De Novo Drug Property Prediction using Graph Convolutional Neural Networks, 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 2021
  • Hybridized Deep Learning Method for Bengali Image Captioning, International Journal of Advanced Computer Science and Applications(IJACSA), 2021
  • Bengali Image Captioning with Visual Attention, 23rd International Conference of Computer and Information Technology (ICCIT), 2020
  • A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem, Journal of Computer Science, 2020
  • An Attention-based Approach to Detect Emotion from Tweets, 2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)}, 2020
  • Early Depression Detection from Social Network Using Deep Learning Techniques, 2020 IEEE Region 10 Symposium (TENSYMP), 2020
  • A Hybridized Feature Extraction Approach To Suicidal Ideation Detection From Social Media Post, 2020 IEEE Region 10 Symposium (TENSYMP), 2020
  • EsharaGAN: An Approach to Generate Disentangle Representation of Sign Language using InfoGAN, 2020 IEEE Region 10 Symposium (TENSYMP), 2020
  • A Transformer Based Approach To Detect Suicidal Ideation Using Pre-Trained Language Models, 23rd International Conference of Computer and Information Technology (ICCIT), 2020
  • Artificial Prognosis of Cardiac Disease using an NN: A Data-scientific Approach in Outlier Handling, 2019 4th International Conference on Electrical Information and Communication Technology (EICT), 2019
  • Emotion Detection from Tweets using AIT-2018 Dataset, 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), 2019
  • A Novel Approach to Classify Bangla Sign Digits using Capsule Network, 2019 22nd International Conference on Computer and Information Technology (ICCIT), 2019
  • An Efficient Ensemble Method for Cancer Detection, 2019
  • Spam Review Detection Using Deep Learning, 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2019
  • Brain Tumor Detection Using Convolutional Neural Network, 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019
  • Using Boosting Approaches to Detect Spam Reviews, 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019
  • Bengali Handwritten Alphabet Recognition using Deep Convolutional Neural Network, 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2019
  • Brain Tumor Segmentation Techniques on Medical Images - A Review, International Journal of Scientific \& Engineering Research, 2019
  • Fake Review Detection using Principal Component Analysis and Active Learning, International Journal of Computer Applications, 2019
  • Sentiment analysis on large scale Amazon product reviews, International Conference on Innovative Research and Development (ICIRD), 2018
  • A Hybrid Under-Sampling Method (HUSBoost) to Classify Imbalanced Data, 2018 21st International Conference of Computer and Information Technology (ICCIT), 2018
  • An ensemble approach to detect review spam using hybrid machine learning technique, 2016 19th International Conference on Computer and Information Technology (ICCIT), 2016
  • Review spam detection using active learning, 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2016
  • Application of machine learning approaches in intrusion detection system: a survey, IJARAI-International Journal of Advanced Research in Artificial Intelligence, 2015
  • Application of machine learning approaches in intrusion detection system: a survey, IJARAI-International Journal of Advanced Research in Artificial Intelligence, 2015
  • Artificial neural network based system for intrusion detection using clustering on different feature selection, International Journal of Computer Applications, 2015
  • An Ensemble Framework of Anomaly Detection Using Hybridized Feature Selection Approach (HFSA), 2015 SAI Intelligent Systems Conference (IntelliSys), 2015
  • FP-ANK: An improvised intrusion detection system with hybridization of neural network and K-means clustering over feature selection by PCA, 2015 18th International Conference on Computer and Information Technology (ICCIT), 2015
  • Explore the Optimality Performances of Particle Swarm Optimization and its Variants, 3rd International Conference on Data Management, 2010
  • Solving Short Term Load Forecasting using Neural Network and Particle Swarm Optimization, 3rd International Conference on Data Management, 2010
  • Architecture and weight optimization of ann using sensitive analysis and adaptive particle swarm optimization, International Journal of Computer Science and Network Security, 2010
  • Collaborative lexicon development for Bangla, 2006
  • An ideal approach towards Integration of Bangla Computing Support in OpenOffice. org using Unicode, 2005