Faculty

1. Tawhid, Md Nurul Ahad, Siuly Siuly, Kate Wang, and Hua Wang. "Brain data mining framework involving entropy topography and deep learning." In Australasian Database Conference, pp. 161-168. Cham: Springer International Publishing, 2022.

2. Tawhid, Md Nurul Ahad, Siuly Siuly, Kate Wang, and Hua Wang. "Data mining based artificial intelligent technique for identifying abnormalities from brain signal data." In Web Information Systems Engineering–WISE 2021: 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26–29, 2021, Proceedings, Part I 22, pp. 198-206. Springer International Publishing, 2021.

3. Asad, Moumita, Rafed Muhammad Yasir, Shihab Shahriar Khan, Nadia Nahar, and Md Nurul Ahad Tawhid. "Analyzing Program Comprehensibility of Go Projects." In SEKE, pp. 255-260. 2021.

4. Huq, Syed Fatiul, Md Aquib Azmain, Nadia Nahar, and Md Nurul Ahad Tawhid. "On the Evolutionary Properties of Fix Inducing Changes." In QuASoQ@ APSEC, pp. 13-20. 2020.

5. Rahman, Md Abdur, Md Ariful Haque, Md Nurul Ahad Tawhid, and Md Saeed Siddik. "Classifying non-functional requirements using RNN variants for quality software development." In Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, pp. 25-30. 2019.

6. Akash, Pritom Saha, Md Eusha Kadir, Amin Ahsan Ali, Md Nurul Ahad Tawhid, and Mohammad Shoyaib. "Introducing confidence as a weight in random forest." In 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), pp. 611-616. IEEE, 2019.

7. Laskar, Md Nasir Uddin, Md Nurul Ahad Tawhid, and TaeChoong Chung. "Extended Kalman Filter (EKF) and K-means clustering approach for state space decomposition of autonomous mobile robots." In Electrical & Computer Engineering (ICECE), 2012 7th International Conference on, pp. 113-116. IEEE, 2012.

8. Sabrin, Kaeser Md, Tao Zhang, Song Chen, Md Nurul Ahad Tawhid, Md Hasanuzzaman, Md Haider Ali, and Haruki Ueno. "An intensity and size invariant real time face recognition approach." In International Conference Image Analysis and Recognition, pp. 502-511. Springer, Berlin, Heidelberg, 2009.

1. Tawhid, Md Nurul Ahad, Siuly Siuly, Kate Wang, and Hua Wang. "GENet: A Generic Neural Network for Detecting Various Neurological Disorders from EEG." IEEE Transactions on Cognitive and Developmental Systems, vol. 16, no. 5, pp. 1829-1842, Oct. 2024, doi: 10.1109/TCDS.2024.3386364.

2. Tawhid, Md Nurul Ahad, Siuly Siuly, Enamul Kabir, and Yan Li. "Exploring frequency band-based biomarkers of EEG signals for mild cognitive impairment detection." IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 189-199, 2024, doi: 10.1109/TNSRE.2023.3347032.

3. Tawhid, Md Nurul Ahad, Siuly Siuly, Kate Wang, and Hua Wang. "Automatic and efficient framework for identifying multiple neurological disorders from EEG signals." IEEE Transactions on Technology and Society 4, no. 1 (2023): 76-86.

4. Tawhid, Md Nurul Ahad, Siuly Siuly, Kate Wang, and Hua Wang. "Textural feature based intelligent approach for neurological abnormality detection from brain signal data." Plos one 17, no. 11 (2022): e0277555.

5. Tawhid, Md Nurul Ahad, Siuly Siuly, and Tianning Li. "A convolutional long short-term memory-based neural network for epilepsy detection from EEG." IEEE Transactions on Instrumentation and Measurement 71 (2022): 1-11.

6. Tawhid, Md Nurul Ahad, Siuly Siuly, Hua Wang, Frank Whittaker, Kate Wang, and Yanchun Zhang. "A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG." Plos one 16, no. 6 (2021): e0253094.

7. Tawhid, Md Nurul Ahad, Siuly Siuly, and Hua Wang. "Diagnosis of autism spectrum disorder from EEG using a time–frequency spectrogram image?based approach." Electronics Letters 56, no. 25 (2020): 1372-1375.

8. Md. Nurul Ahad Tawhid and Emon Kumar Dey. “A Gender Recognition System from Facial Image.” International Journal of Computer Applications 180, no. 23 (2018): 5-14.

9. Tahmid, Ahmad, Md Nurul Ahad Tawhid, Sumon Ahmed, and Kazi Sakib. "Code sniffer: a risk based smell detection framework to enhance code quality using static code analysis." International Journal of Software Engineering, Technology and Applications 2, no. 1 (2017): 41-63.

10. Islam, SM Sofiqul, Emon Kumar Dey, Md Nurul Ahad Tawhid, and BM Mainul Hossain. "A CNN Based Approach for Garments Texture Design Classification." Advances in Technology Innovation 2, no. 4 (2017): 119-125.

11. Nahar, Nadia, Sujon Ali, and Md Nurul Ahad Tawhid. "An Improved Code Clone Tracking Approach in Evolving Software." International Journal of Advanced Research in Computer Science 7, no. 7 (2016).

12. Dey, Emon Kumar, Md Nurul Ahad Tawhid, and Mohammad Shoyaib. "An automated system for garment texture design class identification." Computers 4, no. 3 (2015): 265-282.

13. Sumon Ahmed, Md. Nurul Ahad Tawhid, Kazi Sakib, Md. Mustafizur Rahman. "A multi-objective evolutionary approach to reconstruct gene regulatory network using recurrent neural network model", Biojournal of Science and Technology. Vol:2, 2015

14. Tawhid, Nurul Ahad, Nasir Uddin Laskar, and Haider Ali. "A Vision-based Facial Expression Recognition and Adaptation System from Video Stream." International Journal of Machine Learning and Computing 2, no. 5 (2012): 535.