Nazneen Akhter

Nazneen Akhter

Lecturer

Department of Computer Science and Engineering
Faculty of Science & Technology (FST)

nazneen.akhter@bup.edu.bd


BANGLADESH UNIVERSITY OF PROFESSIONALS
Mirpur Cantonment, Dhaka-1216

Biography

She completed her BSc in Information and Communication Engineering and MSc in Information and Communication Engineering from the Department of Information and Communication Technology of Bangladesh University of Professionals, besides several professional skills. She joined the Department of Information and Communication Technology as a lecturer in 2021. She is currently serving as a lecturer in the Department of Computer Science and Engineering at Bangladesh University of Professionals, Dhaka, Bangladesh. Her research areas of interest include Software Engineering, Artificial intelligence and applications, and Natural Language Processing. She is currently appointed as an advisor of IEEE BUP SB WIE Affinity and moderator of the BUP Computer Programming Club.

Last Updated: 20 Mar 2025

Education
S.S.C, B A F Shaheen College Kurmitola, Dhaka
H.S.C, Shaheed Bir Uttam Lt Anwar Girls’ College
Bachelor of Science (BSc), Bangladesh University of Professionals (BUP)
Master of Science (Tech), Bangladesh University of Professionals (BUP)

Last Updated: 20 Mar 2025

Journal Publication

1. Investigation of Depression Using Context Analysis SA Asma, S Hasan, N Akhter, M Afrin, A Khatun, KA Taher Journal of FST 1 (01), 47

2. Analysis of Duplicate Bug Report Detection Techniques A Khatun, SFM Al Gabid, N Akhter, KA Taher, T Karim Journal of FST 1 (01), 1

3. Metu, M.A., Akhter, N., Nasrin, S., Anzum, T., Khatun, A. and Mazumder, R., 2024. Hybrid SVM-Bidirectional Long Short-Term Memory Model for Fine-Grained Software Requirement Classification. Journal of Advances in Information Technology, 15(8).

4.

Asma, S.A., Akhter, N., Sharmin, S., Rahman, M.S., Hosen, A.S., Lee, O.S. and Ra, I.H., 2024. Hierarchical Explainable Network for Investigating Depression from Multilingual Textual Data. IEEE Access.

5.

Akhter, N., Khatun, A., Rahman, M.S., Hosen, A.S, and Islam, M.S, 2024. A systematic analysis on machine learning classifiers with data pre-processing to detect anti-pattern from source code. International Journal of Artificial Intelligence (IJ-AI). Available: https://ijai.iaescore.com/index.php/IJAI/article/view/25013

6. Akhter, N, Shiraj, T.B, Tabassum, M. A, 2024. Text Feature-Based CNN Approach to Detect Fake News. Journal of FST, 2(01).

Last Updated: 20 Mar 2025

Conference Papers

1. Akhter, N., Rahman, S. and Taher, K.A., 2021, February. An Anti-Pattern Detection Technique Using Machine Learning to Improve Code Quality. In 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 356-360). IEEE.

2. Afrin, M., Asma, S.A., Akhter, N., Ridoy, J.H., Sauda, S.S. and Taher, K.A., 2022, December. A Hybrid Approach to Investigate Anti-pattern from Source Code. In 2022 25th International Conference on Computer and Information Technology (ICCIT) (pp. 888-892). IEEE.

3.

Asma, S.A., Akhter, N., Afrin, M., Hasan, S., Mia, M.S. and Ali, K.A., 2023, May. Hybrid HAN Model to Investigate Depression from Twitter Posts. In International Conference on Information, Communication and Computing Technology (pp. 104-116). Cham: Springer Nature Switzerland.

4. Zaman, A., Ferdous, S.S., Akhter, N., Ena, T.I., Nabi, M.M. and Asma, S.A., 2023, September. A Multilevel Depression Detection from Twitter using Fine-Tuned RoBERTa. In 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 280-284). IEEE.

5. Tasnim, A., Akhter, N., Khanam, M., Rimi, N.J., 2023. An Attention Based LSTM Model: Automated Requirement Classification from User Story. In: Proceedings of the 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 21-23 September 2023. 

6. Puja, R.S., Fatema, T., Akhter, N. and Khatun, A., 2023, September. Prediction of Code Smell from Source Code: A Hybrid Approach. In 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 315-319). IEEE.

7. Zaman, A., Ferdous, S.S., Akhter, N., Tagore, T., Nabi, M.M. and Ali, K.A., 2023, December. DARN: Dual-Attention RoBERTa Network for Depression Severity Detection from Twitter. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

8. Tasnim, A., Akhter, N. and Ali, K.A., 2023, December. A Fine Tuned Ensemble Approach to Classify Requirement from User Story. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

9. Shiraj, T.B., Dipta, M.S.I. and Akhter, N., 2023, December. A Hybrid Transfer Learning Approach to Detect Parkinson's Disease. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

Last Updated: 20 Mar 2025

Researchs

1. Software Engineering

2. AI in Healthcare

3. Machine Learning

4. Deep Learning

5. Natural Language Processing

6. Federated Learning 

Last Updated: 20 Mar 2025

Awards

1. 𝐖𝐈𝐄 𝐎𝐮𝐭𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐕𝐨𝐥𝐮𝐧𝐭𝐞𝐞𝐫 awarded by IEEE Bangladesh Section 

2.  𝟮𝟬𝟮𝟰 𝗜𝗘𝗘𝗘 𝗪𝗜𝗘 𝗦𝗧𝗨𝗗𝗘𝗡𝗧 𝗕𝗥𝗔𝗡𝗖𝗛 𝗔𝗙𝗙𝗜𝗡𝗜𝗧𝗬 𝗚𝗥𝗢𝗨𝗣 𝗢𝗙 𝗧𝗛𝗘 𝗬𝗘𝗔𝗥 𝗔𝗪𝗔𝗥𝗗 by the IEEE Women in Engineering Committee (WIEC)

Last Updated: 20 Mar 2025

Courses

1. Advanced Operation System Theory (Masters)

2. Software and Requirement Engineering Theory and Lab

3. Operating System Theory and Lab

4. Electrical Circuit Analysis Theory and Lab

5. Digital Logic Design Theory and Lab

Last Updated: 20 Mar 2025

S.S.C, B A F Shaheen College Kurmitola, Dhaka
H.S.C, Shaheed Bir Uttam Lt Anwar Girls’ College
Bachelor of Science (BSc), Bangladesh University of Professionals (BUP)
Master of Science (Tech), Bangladesh University of Professionals (BUP)

Last Updated: 20 Mar 2025

1. Investigation of Depression Using Context Analysis SA Asma, S Hasan, N Akhter, M Afrin, A Khatun, KA Taher Journal of FST 1 (01), 47

2. Analysis of Duplicate Bug Report Detection Techniques A Khatun, SFM Al Gabid, N Akhter, KA Taher, T Karim Journal of FST 1 (01), 1

3. Metu, M.A., Akhter, N., Nasrin, S., Anzum, T., Khatun, A. and Mazumder, R., 2024. Hybrid SVM-Bidirectional Long Short-Term Memory Model for Fine-Grained Software Requirement Classification. Journal of Advances in Information Technology, 15(8).

4.

Asma, S.A., Akhter, N., Sharmin, S., Rahman, M.S., Hosen, A.S., Lee, O.S. and Ra, I.H., 2024. Hierarchical Explainable Network for Investigating Depression from Multilingual Textual Data. IEEE Access.

5.

Akhter, N., Khatun, A., Rahman, M.S., Hosen, A.S, and Islam, M.S, 2024. A systematic analysis on machine learning classifiers with data pre-processing to detect anti-pattern from source code. International Journal of Artificial Intelligence (IJ-AI). Available: https://ijai.iaescore.com/index.php/IJAI/article/view/25013

6. Akhter, N, Shiraj, T.B, Tabassum, M. A, 2024. Text Feature-Based CNN Approach to Detect Fake News. Journal of FST, 2(01).

Last Updated: 20 Mar 2025

1. Akhter, N., Rahman, S. and Taher, K.A., 2021, February. An Anti-Pattern Detection Technique Using Machine Learning to Improve Code Quality. In 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 356-360). IEEE.

2. Afrin, M., Asma, S.A., Akhter, N., Ridoy, J.H., Sauda, S.S. and Taher, K.A., 2022, December. A Hybrid Approach to Investigate Anti-pattern from Source Code. In 2022 25th International Conference on Computer and Information Technology (ICCIT) (pp. 888-892). IEEE.

3.

Asma, S.A., Akhter, N., Afrin, M., Hasan, S., Mia, M.S. and Ali, K.A., 2023, May. Hybrid HAN Model to Investigate Depression from Twitter Posts. In International Conference on Information, Communication and Computing Technology (pp. 104-116). Cham: Springer Nature Switzerland.

4. Zaman, A., Ferdous, S.S., Akhter, N., Ena, T.I., Nabi, M.M. and Asma, S.A., 2023, September. A Multilevel Depression Detection from Twitter using Fine-Tuned RoBERTa. In 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 280-284). IEEE.

5. Tasnim, A., Akhter, N., Khanam, M., Rimi, N.J., 2023. An Attention Based LSTM Model: Automated Requirement Classification from User Story. In: Proceedings of the 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 21-23 September 2023. 

6. Puja, R.S., Fatema, T., Akhter, N. and Khatun, A., 2023, September. Prediction of Code Smell from Source Code: A Hybrid Approach. In 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 315-319). IEEE.

7. Zaman, A., Ferdous, S.S., Akhter, N., Tagore, T., Nabi, M.M. and Ali, K.A., 2023, December. DARN: Dual-Attention RoBERTa Network for Depression Severity Detection from Twitter. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

8. Tasnim, A., Akhter, N. and Ali, K.A., 2023, December. A Fine Tuned Ensemble Approach to Classify Requirement from User Story. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

9. Shiraj, T.B., Dipta, M.S.I. and Akhter, N., 2023, December. A Hybrid Transfer Learning Approach to Detect Parkinson's Disease. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

Last Updated: 20 Mar 2025

Last Updated: 20 Mar 2025

Software Engineering AI in Healthcare Machine Learning Deep Learning Natural Language Processing Federated Learning 

Last Updated: 20 Mar 2025

𝐖𝐈𝐄 𝐎𝐮𝐭𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐕𝐨𝐥𝐮𝐧𝐭𝐞𝐞𝐫 awarded by IEEE Bangladesh Section   𝟮𝟬𝟮𝟰 𝗜𝗘𝗘𝗘 𝗪𝗜𝗘 𝗦𝗧𝗨𝗗𝗘𝗡𝗧 𝗕𝗥𝗔𝗡𝗖𝗛 𝗔𝗙𝗙𝗜𝗡𝗜𝗧𝗬 𝗚𝗥𝗢𝗨𝗣 𝗢𝗙 𝗧𝗛𝗘 𝗬𝗘𝗔𝗥 𝗔𝗪𝗔𝗥𝗗 by the IEEE Women in Engineering Committee (WIEC)

Last Updated: 20 Mar 2025

Advanced Operation System Theory (Masters) Software and Requirement Engineering Theory and Lab Operating System Theory and Lab Electrical Circuit Analysis Theory and Lab Digital Logic Design Theory and Lab

Last Updated: 20 Mar 2025