"Renewal of Accreditation for Four Years: East West University's CSE Continues to Demonstrate Excellence”

Publications: Department of Computer Science & Engineering

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International Conference

Published

  1. M. Al-Imran, K. J. Rahaman, M. Rasel, and S. H. Ripon, “An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12832 LNAI, pp. 129–140, 2021, doi: 10.1007/978-3-030-80253-0_12/COVER.
  2. M. Al-Imran, N. N. Juthi, T. S. Mahi, and S. H. Khan, “Evaluation of Linear Imputation Based Pediatric Appendicitis Detection System Using Machine Learning Algorithm,” Communications in Computer and Information Science, vol. 1911 CCIS, pp. 437–450, 2024, doi: 10.1007/978-981-99-7240-1_35/COVER.
  3. Hridoy, Kazi Mostaq, Saiful Islam Akash, Fahmida Afrose Dipti, Mahamudul Hasan, Jesan Ahammed Ovi, M. Al-Imran, and Sarwar Jahan. "Heart Disease Prediction Using Machine Learning Algorithms." In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
  4. M. Al-Imran, S. F. Fahim, S. Simla, F. H. Shakib, T. Ahmed and S. Jahan, "Grapevine Leaf Disease Classification Using Deep Convolutional Neural Networks," 2024 5th International Conference on Big Data Analytics and Practices (IBDAP), Bangkok, Thailand, 2024, pp. 1-6, doi: 10.1109/IBDAP62940.2024.10689684.
  5. Sajid Faysal Fahim, Fahmida Afrose Dipti, Z. T. Nishat, M. M. Azim, M. Al-Imran, “MobileNetV2: A proficient convolutional neural network for the Classification of Date Fruits into Genetic Varieties,” in International Conference on Machine Learning Algorithms in Science, Technology, Engineering, Management, Medical Science, Healthcare, and Advances in Machine Learning (ICMLA), 2024.

  6. Mehrab Chowdhury, Abin Roy, Md Safayet Islam, Sanjida Simla, Md Belayet Hossain, and Md Al-Imran, “Classification of dry beans into Genetic Varieties using deep learning-based Convolutional Neural Networks (CNNs),” in Proceedings of Fifth International Conference on Computing, Communications, and Cyber-Security, IC4S’05 Volume 1, August 2024.


Accepted

  1. Ehsanul Haque, Md Al-Imran, Dr. Ahmed Wasif Reza "Credit Card Fraud Detection: Optimizing Performance with Supervised and Ensemble Learning" in 27th International Conference on Computer and Information Technology (ICCIT), IEEE. December 20-22  2024.


International Journal
  1. M. Al-Imran and S. H. Ripon, “Network Intrusion Detection: An Analytical Assessment Using Deep Learning and State-of-the-Art Machine Learning Models,” International Journal of Computational Intelligence Systems, vol. 14, no. 1, 2021, doi: 10.1007/s44196-021-00047-4.
  2. Sarwar Jahan, Md Al-Imran, Md. Imdadul Islam, M. R. Amin, "Comparison of Data Rate and Energy Per Node of Wireless Sensor Network Under Small Scale Fading,"International Journal of Computer Networks and Applications (IJCNA), vol. 11, no. 02, pp. 111-126, April 2024, DOI: 10.22247/ijcna/2024/224439.
Protecting Big Data through Microaggregation Technique for Secured Cyber-Physical Systems

S. M. Tonni, S. Parvin, A. Gawanmeh and J. Jackson, “Protecting Big Data through Microaggregation Technique for Secured Cyber-Physical Systems,” in “Cyber-Physical Systems for Next Generation Networks”, IGI Global, Hershey, PA, USA, May 2018, pp. 99-120.

Securing Big Data Efficiently through Microaggregation Technique

S. M. Tonni, M. Z. Rahman, S. Parvin and A. Gawanmeh, “Securing Big Data Efficiently through Microaggregation Technique,” 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW), Atlanta, GA, USA, 2017, pp. 125-130. doi: 10.1109/ICDCSW.2017.65,

BFM: a forward backward string matching algorithm with improved shifting for information retrieval

M. O. Al-Faruk K. M. Hussain, M. A. Shahriar and S. M. Tonni, “BFM: a forward-backwards string matching algorithm with improved shifting for information retrieval”, In International Journal of Information Technology, Oct. 2019, issn: 2511-2112, doi:10.1007/s41870-019-00371-1.

Data and model dependencies of membership inference attack

Tonni, S. M., Vatsalan, D., Farokhi, F., Kaafar, D., Lu, Z., & Tangari, G. "Data and model dependencies of membership inference attack." arXiv preprint arXiv:2002.06856 (2020).

Journal Publication
  • Sadia Nowrin, Papiya Nazneen and Lafifa Jamal, “Design of a Compact Reversible Read-Only-Memory with MOS Transistors”, International Journal of VLSI Design and Communication Systems (VLSICS), Vol. 6, No. 5, pp. 69-84, October, 2015.
Conference & Seminars

  1. Sadia Nowrin, Lafifa Jamal and Humayra Tasnim, “An Efficient Approach to Design A Reversible Signed Multiplier”, TENCON, IEEE- Region 10 Conference, Bangkok, Thailand, pp. 1-6, October, 2014.

  2.  Sadia Nowrin, Lafifa Jamal and Hafiz Md. Hasan Babu, “Design of an Optimized Reversible Bidirectional Barrel Shifter, 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, QC, pp. 730-733, May, 2016.

Journal
  • Mazharul Islam, Kowshika Sarker, Trisha Das, Rezwana Reaz, and Md. Shamsuzzoha Bayzid, STELAR: A statistically consistent coalescent-based species tree estimation method by maximizing triplet consistency, BMC Genomics, 21:136. (PDF)
Journal
  • Mostofa Rafid Uddin, Sazan Mahbub, Md Saifur Rahman, and Md Shamsuzzoha Bayzid. SAINT: Self-Attention Augmented Inception-Inside-Inception Network Improves Protein Secondary Structure Prediction. Bioinformatics, Oxford University Press. [Link]
  • Md Jakaria, Kowshika Sarker, Mostofa Rafid Uddin, Md. Mohaiminul Islam, Trisha Das, Md Shamsuzzoha Bayzid, Rameen Shakur. eMED-DNA: An in silico operating system for clinical medical data storage within the human genome. Preprint available at:  bioRxiv (2019): 814830.
M. S. Ahmed, R. J. Rony, M. M. Ashhab and N. Ahmed, "An Empirical Study to Analyze the Impact of Instagram on Students' Academic Results," 2020 IEEE Region 10 Symposium (TENSYMP), 2020, pp. 666-669, doi: 10.1109/TENSYMP50017.2020.9230945.

Instagram is very popular worldwide, however, a few studies have been conducted regarding the impact of Instagram on academic results. These studies are based on self-reported data which may provide inaccurate findings. Using actual usage data of 7 days, this paper presents a quantitative study [N=71] to examine the impact of Instagram on academic results. We also present how much Instagram is used in different time ranges (e.g. morning) and what is the impact of that on CGPA. We found that Instagram usage behaviour varies by time range. Students used it maximum in the evening and minimum in the morning. However, our correlational analysis shows that there is no correlation between Instagram usage data and CGPA. Supporting this, our comparative study also shows that high and low Instagram users have indifferent CGPA. These findings highlight the possibility that negative impact of social media can be mitigated through proper use.

J. Ahmed, M. M. Ashhab, M. A. Razzaque and M. M. Rahman, "Execution Delay-aware Task Assignment in Mobile Edge Cloud and Internet Cloud," 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), 2019, pp. 1-6, doi: 10.1109/STI4767

Mobile Edge Cloud (MEC) provides computation ability close proximate of user compared to Internet Cloud (IC), which ensures flexibility and reliability in executing codes on mobile devices. Offloading resource hungry mobile application to MEC by mobile devices for computation is challenging. On the other hand, maintaining task provisioning within delay constraint is important too. This assignment policy still requires improvement in decreasing completion time of task and thus providing better Quality of Experience (QoE) for users. In this paper, we formulated a delay-aware task assignment as an optimization problem. The optimal assignment of task is Integer Linear Problem (ILP) and NP-Complete. As optimal solution is time costly, hence we proposed a heuristic algorithm, which is done by cooperating the MEC and IC servers to provide feasible task assignment within delay constraint. Extensive performance evaluation of the proposed algorithm indicates significant improvement in successful tasks execution and better QoE can be achieved compared to existing state-of-the-art works.

CottonFabricImageBD: An image dataset characterized by the percentage of cotton in a fabric for computer vision-based garment recycling

Nishat Tasnim Niloy, Md Rayhan Ahmed, Sinthia Sarkar Ananna, Sanjida Kater, Iffat Jahan Shorna, Sadika Islam Sneha, Md Hasanul Ferdaus, Mohammad Manzurul Islam, Mohammad Rifat Ahmmad Rashid, Taskeed Jabid, Md Sawkat Ali


Book Chapters:

1. Khan, M.K.M., Rahim, M.S. and Islam, A.Z.M.T., 2021. Evaluation of Energy Efficiency of Opportunistic Network Routing Protocols. In Opportunistic Networks (pp. 207-223). CRC Press, Taylor & Francis.

2. Khan, M.K.M., Rahim, M.S. and Islam, A.Z.M.T., 2021. Evaluating Energy Efficiency and Performance of Social-Based Routing Protocols in Delay-Tolerant Networks. In Intelligent Systems and Computing (pp. 513-523). Springer, Singapore. (Springer, SCOPUS). DOI:10.1007/978-981-33-4673-4_41.

3. Khan, M.K.M., Roy, S.C., Rahim, M.S. and Islam, A.Z.M.T., 2020, February. On the energy efficiency and performance of delay-tolerant routing protocols. In Cyber Security and Computer Science (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering) (pp. 553-565). Springer, Cham. (Springer, SCOPUS).  DOI: 10.1007/978-3-030-52856-0_44.

4. Khan, M.K.M., Rahim, M.S. and Islam, A.Z.M.T., 2023. Investigating the Performance of Delay-Tolerant Routing Protocols Using Trace-Based Mobility Models. The Fourth Industrial Revolution and Beyond, Lecture Notes in Electrical Engineering (LNEE), Springer, (SCOPUS), vol. 980, pp. 319-334. DOI: https://doi.org/10.1007/978-981-19-8032-9_23.

5. Alam, M.K., Chowdhury, I., Imtiaz, A., Khan, M.K.M., 2023. Remote Health Monitoring System Using Microcontroller—Suitable for Rural and Elderly Patients. In: So-In, C., Londhe, N.D., Bhatt, N., Kitsing, M. (eds) Information Systems for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 324. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-19-7447-2_51. (Springer, SCOPUS)

6. Kankara, M.K., Imtiaz, A., Chowdhury, I., Khan, M.K.M., Ahmed, T., 2023. Arduino and NodeMCU-Based Smart Soil Moisture Balancer with IoT Integration. In: So-In, C., Londhe, N.D., Bhatt, N., Kitsing, M. (eds) Information Systems for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 324. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-19-7447-2_54. (Springer, SCOPUS)

Journals:

7. Khan, M.K.M., Kawsaruzzaman, Rahman, M.M. and Al Imtiaz, 2020. The Impact of Node Density and Buffer Size on DTN Routing Protocols with Energy Efficiency. European Journal of Engineering and Technology Research, 5(9), pp.1054-1061.  DOI: https://doi.org/10.24018/ejers.2020.5.9.2104.

8. Islam, G. Z., Hossain, M. M., Faruk, M., Nur, F. N., Hasan, N., Tumpa, Z. N., Khan, M.K.M., 2022. The IoT-Based Intelligent Gas Leakage Detection and Fire Protection System. International Journal of Interactive Mobile Technologies (iJIM), 16(21), (DBLP, SCOPUS (CS=2.9))

Conference Proceedings:

9. Khan, M.K.M. and Rahim, M.S., 2018, February. Performance analysis of social-aware routing protocols in delay tolerant networks. In 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2) (pp. 1-4). IEEE. (IEEE Xplore) DOI: 10.1109/IC4ME2.2018.8465592.

10. Khan, M.K.M., Rahim, M.S. and Islam, A.Z.M.T., 2021, November. Impact of Trace-Based Mobility Models on the Energy Consumption of Delay-Tolerant Routing Protocols. In 2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) (pp. 1-6). IEEE. (IEEE Xplore) DOI:10.1109/ICEEICT53905.2021.9667942.

11. Khan, M.K.M., Chowdhury, I., Imtiaz, A., Rahman, S., Khan, A. M. Z. H., Mollik, M. S. and Boby R. I., 2024, Performance Evaluation of DTN Routing Protocols on Trace-Based Mobility Models with Energy Efficiency. In 2024 3rd International conference on Advanced Communication and Intelligent Systems (ICACIS). (SCOPUS, Springer) (Accepted)

Amit Mandal, Mehedi Hasan, Anna Fariha, Chowdhury Farhan Ahmed: GSCS - Graph Stream Classification with Side Information. APWeb 2015: 389-400
Quazi Marufur Rahman, Anna Fariha, Amit Mandal, Chowdhury Farhan Ahmed, Carson K. Leung: A Sliding Window-Based Algorithm for Detecting Leaders from Social Network Action Streams. WI-IAT (1) 2015: 133-136
IntellCache: An Intelligent Web Caching Scheme for Multimedia Contents.

Niloy, N.T. and Islam, M.S., 2020, August. In 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (ICIVPR) (pp. 1-6). IEEE.

Impact of Label Noise and Efficacy of Noise Filters in Software Defect Prediction

Khan, S.S., Niloy, N.T., Azmain, M.A. and Kabir, A., 2020. In SEKE (pp. 347-352).
Prioritize Android App Reviews for Effective Version Release.

Rahman, M.A., Mahmud, O., Niloy, N.T. and Siddik, M.S., 2020. ASM Sci. J., 13, pp.21-30.

Predicting an effective android application release based on user reviews and ratings.

Mahmud, O., Niloy, N.T., Rahman, M.A. and Siddik, M.S., 2019, June.  In 2019 7th International Conference on Smart Computing & Communications (ICSCC) (pp. 1-5). IEEE.
ArsenicSkinImageBD: A comprehensive image dataset to classify affected and healthy skin of arsenic-affected people

Ismot Ara Emu, Nishat Tasnim Niloy, Bhuyan Md Anowarul Karim, Anindya Chowdhury, Fatema Tuj Johora, Mahamudul Hasan, Tanni Mittra, Mohammad Rifat Ahmmad Rashid, Taskeed Jabid, Maheen Islam, Md Sawkat Ali

CottonFabricImageBD: An image dataset characterized by the percentage of cotton in a fabric for computer vision-based garment recycling

Nishat Tasnim Niloy, Md Rayhan Ahmed, Sinthia Sarkar Ananna, Sanjida Kater, Iffat Jahan Shorna, Sadika Islam Sneha, Md Hasanul Ferdaus, Mohammad Manzurul Islam, Mohammad Rifat Ahmmad Rashid, Taskeed Jabid, Md Sawkat Ali

REMP: A Unique Dataset of Rare and Endangered Medicinal Plants in Bangladesh for Sustainable Healing and Biodiversity Conservation

Mohammad Manzurul Islam, Sanjida Rahman, Nahida Hoque, Md Al Mamun, Md Sultan Moheuddin, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Saleh Masum, Md Hasanul Ferdaus, Nishat Tasnim Niloy, Md Atiqur Rahman

An Extensive Photographic Dataset to Classify Laptop Components for Automating E-waste Management by Recycling Old Laptops.

Islam, M., Niloy, N.T., Hasan, I., Rupin, R.J., Chowdhury, M., Fahim, S.F., Ashhab, M.M., Islam, M.M., Ali, M.S. and Rashid, M.R.A., 2024. An Extensive Photographic Dataset to Classify Laptop Components for Automating E-waste Management by Recycling Old Laptops. Data in Brief, p.111122.

Analyzing User Sentiment in Google Play Store Reviews: A Natural Language Processing Approach

Fahim, S.F., Sounok, S.A., Shaeed, N., Orpa, M.H. and Niloy, N.T., 2024, June. Analyzing User Sentiment in Google Play Store Reviews: A Natural Language Processing Approach. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.

Ensemble Method for Predicting Student Performance and Dropout Risk

Islam, M., Islam, M.M., Ali, M.S., Niloy, N.T., Chowdhury, A. and Avik, S.C., 2023, December. Ensemble Method for Predicting Student Performance and Dropout Risk. In International Conference on Recent Advances in Artificial Intelligence & Smart Applications (pp. 269-278). Singapore: Springer Nature Singapore.

Conference Proceedings
  • Jahan, M.R., Aziz, F.I., Ema, M.B.I., Islam, A.B. and Islam, M.N., 2019, June. A wearable system for path finding to assist elderly people in an indoor environment. In Proceedings of the XX International Conference on Human Computer Interaction (pp. 1-7). [Click Here]
  • Islam, M.N., Jahan, M.R., Ali, A., Rony, S., Anannya, T.T., Aziz, F.I., Bayzed, M., Yeazdani, A. and Rabbi, M.F., 2019. Design and development of an intelligent seed germination system based on iot. In Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II: Proceedings of the 2nd International Conference of ICT for Adapting Agriculture to Climate Change (AACC'18), November 21-23, 2018, Cali, Colombia (pp. 146-161). Springer International Publishing. [Click Here]
  • Rahman, M.A., Liu, S., Li, R., Wu, H., Jahan, M.R. and Kwok, N., 2018, April. A review on brightness preserving contrast enhancement methods for digital image. In Ninth International Conference on Graphic and Image Processing (ICGIP 2017) (Vol. 10615, pp. 794-804). SPIE. [Click here]
Robin, M.T.I., Islam, M.S., Rasel, A.A.S., and Hasan, M. (2023) ‘Real-time face mask detection using deep learning’, International Journal of Applied Information Systems, 12(40), pp. 54–58.
Rasel, A.A.S., and Yousuf, M.A. (2019) ‘An efficient framework for hand gesture recognition based on histogram of oriented gradients and support vector machine’, International Journal of Information Technology and Computer Science (IJITCS), 11(12), pp. 50
Rasel, A.A.S. (2019) ‘Identification of anesthesia stages from EEG signals using wavelet entropy and back propagation neural network’, Global Journal of Computer Science and Technology: Neural and Artificial Intelligence, 19(1), pp. 17–20.
Rasel, A.A.S., Siddika, A., and Robin, M.T.I. (2018) ‘A comparison between neural network and support vector machine in classifying static and real-time images’, International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET)
Islam, M.M., Ahmed, M.J., Shafi, M.B., Das, A., Hasan, M.R., Al Rafi, A., Rashid, M.R.A., Niloy, N.T., Ali, M.S., Chowdhury, A. and Rasel, A.A.S., 2024. BDMANGO: An Image Dataset for Identifying the Variety of Mango based on the Mango Leaves. Data in Brie
Ferdaus, M.H., Prito, R.H., Rasel, A.A.S., Ahmed, M., Saykot, M.J.H., Shanta, S.S., Akter, S., Das, A.C., Islam, M.M., Hasan, M. and Ali, M.S., 2024. BananaImageBD: A Comprehensive Banana Image Dataset for Classification of Banana Varieties and Detection
Anika, T. (2022). A systematic literature review on untargeted model poisoning attacks and defense mechanisms in federated learning. Systematic Literature Review and Meta-Analysis Journal, 3(4), 117-126.
Tabassum, A., Emu, I. J., & Satter, A. Software Evolution of Next. js and Angular.
Hossain, M. I. A., Tabassum, A., & Shamszaman, Z. U. (2023). Deep edge intelligence-based solution for heart failure prediction in ambient assisted living. Discover Internet of Things, 3(1), 11.
An Augmented Reality-Based Approach for Designing Interactive Food Menu of Restaurant Using Android

Artificial Intelligence and Applications.

(2022, October 10).

https://ojs.bonviewpress.com/index.php/AIA/article/view/354

ALZHEIMER’S DISEASE DETECTION AND CLASSIFICATION USING TRANSFER LEARNING TECHNIQUES AND ENSEMBLING OPERATIONS ON CONVOLUTIONAL NEURAL NETWORKS

 IEEE SMC 2021, The Papercept

Conference Manuscript Management System

Department of Computer Science & Engineering