Faculty
Faculty of Sciences and EngineeringAddress
A/2, Jahurul Islam Avenue
Jahurul Islam City, Aftabnagar
Dhaka-1212, Bangladesh
- M. Sc. in Computer Science, The University of Lethbridge, Alberta, Canada, 2017
- B. Sc. in Electrical and Electronic Engineering, East West University, Dhaka, Bangladesh, 2014
After completing M.Sc. in Computer Science in April 2017, Musharrat Khan started teaching profession as Adjunct Faculty during May -August 2017 in the CSE Department of East West University. In September 2017 she joined as a full-time Lecturer in the department. Later, in November 2019, she was promoted to Senior Lecturer.
Her research interests include multiple-valued reversible logic, data mining, and machine learning. She has in her credit two ISI-indexed journal publications and 11 conference publications in international peer reviewed conferences.
Duration
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Designation & Department
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Educational Institution
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November 2019 - Present
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Senior Lecturer, CSE Department
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East West University, Dhaka, Bangladesh
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September 2017- October 2019
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Lecturer, CSE Department
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East West University, Dhaka, Bangladesh
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Multiple-Valued Reversible Logic, Data Mining, Machine Learning, Deep Learning
- M. Khan and J. E. Rice, “Ternary Max-Min algebra for representation of reversible logic functions,” In Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1670–1673, Montreal, Canada, May 2016.
- M. Khan and J. E. Rice, “Synthesis of reversible logic functions using ternary Max-Min algebra,” In Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1674–1677, Montreal, Canada, May 2016.
- M. T. Islam, P. K. Basak, P. Bhowmik, and M. Khan, “Data clustering using hybrid Genetic Algorithm with k-Means and k-Medoids Algorithms,” In Proc. 23rd International Computer Science and Engineering Conference (ICSEC 2019), 30 Oct – 1 Nov 2019, Phuket, Thailand.
- M. S. H. Bhuiyan, N. A. Raian, S. I. Leon, and M. Khan, "Study of influence of dimension reduction of high dimensional datasets in classification problem," In Proc. 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), 11-13 March, 2020, Erode, Tamil Nadu, India.
- M. K. Dhar, S. M. N. Hasan, T. R. Otushi, and M. Khan, "Entropy-based feature selection for data clustering using k-means and k-medoids algorithms," In Proc. 2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Nov 26-27, Bangalore, India.
- S. Das, M. Z. Tazim, J. Akter, and M. Khan, “Influence of data pre-processing on genetic algorithm based clustering,” In Proc. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 19-20 March, 2021, Coimbatore, India.
- M. A. B. Siddik, M. M. I. Mazumder, R. Alam, and M. Khan, “Performance comparison between dimension reduction and feature selection approaches for data classification,” In Proc. 2021 5th Conference on Computing Methodologies and Communication (ICCMC), 8-10 April, 2021, Erode, Tamil Nadu, India.
- M. F. U. Bhuiyan, M. T. Rahman, M. A. Anik, and M. Khan, “A framework for type-II diabetes prediction using machine learning approaches,” In Proc. 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 6-8 July, 2021, Kharagpur, India.
- Z. Hossain, M. M. R. Sourov, M. Khan, and P. Rahman, “Network intrusion detection using machine learning approaches,” In Proc. 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 11-13 November, 2021, Palladam, India.
- S. A. Niloy, T. S. Bhuiyan, F. I. Leha, S. Imon, M. Khan, “Machine Learning Based Recognition of Bangla Handwritten Characters”, In Proc. 4th International Conference on Inventive Research in Computing Applications (ICIRCA 2022), 21-23 September, 2022, Coimbatore, India.
- K. Rashid, M. A. Islam, R. A. Tanzin, M. L. Labib, M. Khan, “Heart Disease Prediction Using Interquartile Range Preprocessing and Hypertuned Machine Learning”, In Proc. 4th International Conference on Inventive Research in Computing Applications (ICIRCA 2022), 21-23 September, 2022, Coimbatore, India.
- J. Paul, S. M. Raduan, S. Ghosh, S. E. Siam, and M. Khan, “Performance Analysis of Different Deep Learning Models for Bone Tumor Identification from MRI Images,” In Proc. 2025 International Conference on Inventive Computation Technologies (ICICT), 23-25 April, 2025, Kirtipur, Nepal.
- K. Shams, R. Saha, M. I. Rodela, S. R. Simran, and M. Khan, “Tuberculosis Diagnosis from Chest X-Ray Image Using Deep Learning Techniques,” In Proc. 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 9-10 January, 2025, Bhilai, India.
- P. Islam, Z. D. Ziden, S. Abdullah, M. A. Hasan, M. A. Asif, M. Khan, and T. Mittra, “Rose Disease Detection Using YOLO: A Deep Learning-Based Approach,” In: M. S. Kaiser, J. Xie, V. S. Rathore (eds) Intelligent Strategies for ICT. ICTCS 2024. Lecture Notes in Networks and Systems, vol 1381, 2025. Springer, Singapore. https://doi.org/10.1007/978-981-96-5607-3_13.
- Z. T. Nuzhat, I. A. Shohan, S. Akter, A. N. Kanta, M. F. Hossain, A. H. Siam, T. Mittra, and M. Khan, “ACNEREC: An AI Based Recognition System to Detect Acne Types,” In: A. Joshi, R. Ragel, M. Mahmud, and S. Kartik (eds) ICT: Applications and Social Interfaces. ICTCS 2024. Lecture Notes in Networks and Systems, vol 1383, 2025. Springer, Singapore. https://doi.org/10.1007/978-981-96-5754-4_15.
- M. Khan and J. E. Rice, “Hybrid-GA synthesis of ternary reversible circuits using Max-Min algebra,” J. of Multi.-Valued Logic & Soft Computing, Vol. 32, no. 1-2, pp. 27-55, 2019.
- M. Khan, “Online testing of ternary reversible multiple-controlled unary gate circuits,” J. of Multi.-Valued Logic & Soft Computing, Vol. 34, no. 1-2, pp. 105-127, 2020.
CSE209 - Electrical Circuits
CSE345 - Digital Logic Design