Profile

S. M. Mahedy Hasan

এস. এম. মেহেদী হাসান

Assistant Professor

  •  Room No:  CSE 116, Ground Floor, CSE Building, RUET.
  •  Phone:   880-1797837485 , 880-1870100318
  •  Email:   mahedy@cse.ruet.ac.bd
  • mahedyhasanruet@gmail.com
Field of Research
  •  Explainable Artificial Intelligence
  •  Pedagogy
  •  Machine Learning
  •  Deep Learning
  •  Computer Vision
Google Scholar
  •  First Joined: 05th Nov, 2019
  •      Dept. of Computer Science & Engineering

Position

Education

Book / Book Chapter
1
Journal Articles
1
Conference Papers
18
SL Authors Title Publisher Details Publication Year Type
1 SM Mahedy Hasan, Md Fazle Rabbi, Arifa Islam Champa, Md Rifat Hossain, Md Asif Zaman Machine Learning-based Models for Predicting Autism Spectrum Disorders Chapman and Hall/CRC 2023 Book Chapter
2 Nahrin Jannat, S. M. Mahedy Hasan, Anwar Hossain Efat, Md Fakrul Taraque, Mostarina Mitu, Md. Al Mamun, Md. Farukuzzaman Faruk Stacking Ensemble Technique for Multiple Medical Datasets Classification: A Generalized Prediction Model 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE) 2023 Conference
3 Tahsen Islam Sajon, Maria Chowdhury, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Abu Sayeed, A. F. M. Minhazur Rahman Recognition of Leukemia Sub-types Using Transfer Learning and Extraction of Distinguishable Features Using an Effective Machine Learning Approach 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE) 2023 Conference
4 Soumik Datta, S. M. Mahedy Hasan, Mostarina Mitu, Md Fakrul Taraque, Nahrin Jannat, Anwar Hossain Efat Hyperparameter-Tuned Machine Learning Models for Complex Medical Datasets Classification 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE) 2023 Conference
5 Anwar Hossain Efat, S. M. Mahedy Hasan, Nahrin Jannat, Mostarina Mitu, Md Fakrul Taraque, Shahriar Ferdous, Soumik Datta Inquisition of The Support Vector Machine Classifier in Association with Hyper-parameter Tuning: A Disease Prognostication Model IEEE (Accepted) 2022 Conference
6 Md Fakrul Taraque, S. M. Mahedy Hasan, Nahrin Nipun, Anwar Hossain Efat, Mostarina Mitu, Soumik Datta, Shahriar Ferdous Early Stage Prediction of Autism Spectrum Disorder: Analyzing Different Hyperparameter Tuned Machine Learning Classifier IEEE (Accepted) 2022 Conference
7 MD Shamiul Islam Shopnil, S. M. Mahedy Hasan, Md. Azmain Yakin Srizon, Md. Farukuzzaman Faruk Post-Pandemic Sentiment Analysis Based on Twitter Data Using Deep Learning IEEE-2022 25th International Conference on Computer and Information Technology (ICCIT) 2022 Conference
8 Azmain Yakin Srizon, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk , Abu Sayeed§ and Md. Ali Hossain Human Activity Recognition Utilizing Ensemble of Transfer-Learned Attention Networks and a Low-Cost Convolutional Neural Architecture IEEE-2022 25th International Conference on Computer and Information Technology (ICCIT) 2022 Conference
9 Md Fatin Faiaz Isty, S. M. Mahedy Hasan, MD Shamiul Islam Shopnil Performance Analysis of Hybrid Deep Learning Models in Sarcasm Classification IEEE-2022 25th International Conference on Computer and Information Technology (ICCIT) 2022 Conference
10 S. M. Mahedy Hasan, Md. Palash Uddin, Md. Al Mamun, Muhammad Imran Sharif, Anwaar Ulhaq, Govind Krishnamoorthy A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders IEEE Access 2022 Journal
11 M. A. Rahman, Md Rakib Hossain, S. M. Mahedy Hasan The Development of an Image Searching Method by a Content Based Image Retrieval System IEEE (Accepted) 2022 Conference
12 Fazle Rabbi, Mahedy Hasan, AI Champa, Rifat Hossain, Asif Zaman A Convolutional Neural Network Model for Screening COVID-19 Patients Based on CT Scan Images Springer-Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021 2022 Conference
13 S. M. Mahedy Hasan, Md. Fazle Rabbi, Arifa Islam Champa, Md. Asif Zaman A Comparative Study of Classification Approaches for COVID-19 Prediction IEEE-2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) 2021 Conference
14 Md. Fazle Rabbi, S. M. Mahedy Hasan, Arifa Islam Champa, Md. Asif Zaman A Convolutional Neural Network Model for Early-Stage Detection of Autism Spectrum Disorder IEEE-2021 international conference on information and communication technology for sustainable development (icict4sd) 2021 Conference
15 Arifa Islam Champa, Md Fazle Rabbi, S. M. Mahedy Hasan, Md. Asif Zaman Tree-Based Classifier for Hyperspectral Image Classification via Hybrid Technique of Feature Reduction IEEE-2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) 2021 Conference
16 Arifa Islam Champa, S. M. Mahedy Hasan, Md Atikur Rahman, Md Fazle Rabbi Hybrid Technique for Classification of Hyperspectral Image Using Quadratic Mutual Information IEEE-2020 IEEE Region 10 Symposium (TENSYMP) 2020 Conference
17 S. M. Mahedy Hasan, Md. Fazle Rabbi, Arifa Islam Champa, Md. Asif Zaman A Machine Learning-Based Model for Early Stage Detection of Diabetes IEEE-2020 23rd International Conference on Computer and Information Technology (ICCIT) 2020 Conference
18 Md. Fazle Rabbi, S. M. Mahedy Hasan, Arifa Islam Champa, Md. Asif Zaman An Effective Diabetes Prediction System Using Machine Learning Techniques IEEE-2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT) 2020 Conference
19 Md Fazle Rabbi, SM Mahedy Hasan, Arifa Islam Champa, Md AsifZaman, Md Kamrul Hasan Prediction of liver disorders using machine learning algorithms: a comparative study IEEE-2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT) 2020 Conference
20 SMM Hasan, MA Mamun, MP Uddin, MA Hossain Comparative Analysis of Classification Approaches for Heart Disease Prediction IEEE-2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2) 2018 Conference
Phd Students
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Undergraduate Students
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Activity Description