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: 21 Nov 2024

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

Last Updated: 21 Nov 2024

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 comprehensive study on machine learning classifiers to detect anti-pattern from source code. International
Journal of Artificial Intelligence (IJ-AI). (In press)

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: 21 Nov 2024

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.ย 

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: 21 Nov 2024

Researchs

1. Software Engineering

2. AI in Healthcare

3. Machine Learning

4. Deep Learning

5. Natural Language Processing

6. Federated Learningย 

Last Updated: 21 Nov 2024

Awards

1. ๐–๐ˆ๐„ ๐Ž๐ฎ๐ญ๐ฌ๐ญ๐š๐ง๐๐ข๐ง๐  ๐๐ซ๐จ๐Ÿ๐ž๐ฌ๐ฌ๐ข๐จ๐ง๐š๐ฅ ๐•๐จ๐ฅ๐ฎ๐ง๐ญ๐ž๐ž๐ซ awarded by IEEE Bangladesh Sectionย 

2. ย ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฐ ๐—œ๐—˜๐—˜๐—˜ ๐—ช๐—œ๐—˜ ๐—ฆ๐—ง๐—จ๐——๐—˜๐—ก๐—ง ๐—•๐—ฅ๐—”๐—ก๐—–๐—› ๐—”๐—™๐—™๐—œ๐—ก๐—œ๐—ง๐—ฌ ๐—š๐—ฅ๐—ข๐—จ๐—ฃ ๐—ข๐—™ ๐—ง๐—›๐—˜ ๐—ฌ๐—˜๐—”๐—ฅ ๐—”๐—ช๐—”๐—ฅ๐—— by the IEEE Women in Engineering Committee (WIEC)

Last Updated: 21 Nov 2024

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: 21 Nov 2024

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

Last Updated: 21 Nov 2024

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 comprehensive study on machine learning classifiers to detect anti-pattern from source code. International
Journal of Artificial Intelligence (IJ-AI). (In press)

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: 21 Nov 2024

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.ย 

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: 21 Nov 2024

Last Updated: 21 Nov 2024

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

Last Updated: 21 Nov 2024

๐–๐ˆ๐„ ๐Ž๐ฎ๐ญ๐ฌ๐ญ๐š๐ง๐๐ข๐ง๐  ๐๐ซ๐จ๐Ÿ๐ž๐ฌ๐ฌ๐ข๐จ๐ง๐š๐ฅ ๐•๐จ๐ฅ๐ฎ๐ง๐ญ๐ž๐ž๐ซ awarded by IEEE Bangladesh Sectionย  ย ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฐ ๐—œ๐—˜๐—˜๐—˜ ๐—ช๐—œ๐—˜ ๐—ฆ๐—ง๐—จ๐——๐—˜๐—ก๐—ง ๐—•๐—ฅ๐—”๐—ก๐—–๐—› ๐—”๐—™๐—™๐—œ๐—ก๐—œ๐—ง๐—ฌ ๐—š๐—ฅ๐—ข๐—จ๐—ฃ ๐—ข๐—™ ๐—ง๐—›๐—˜ ๐—ฌ๐—˜๐—”๐—ฅ ๐—”๐—ช๐—”๐—ฅ๐—— by the IEEE Women in Engineering Committee (WIEC)

Last Updated: 21 Nov 2024

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: 21 Nov 2024