Name of the Faculty: Tania Akter

Department: Computer Science and Engineering

Qualification: PhD (Running)

Mobile: 01717238063

Email: shilpy339cse@gmail.com

Orchid ID: [0000–0002–7404–0756]

Profile Weblink:

ResearchGate: https://www.researchgate.net/profile/Tania-Akter2

Google Scholar: https://scholar.google.com/citations?user=Q6SZ2SEAAAAJ&hl=en

LinkedIn: https://www.linkedin.com/in/tania-akter-assistant-professor-187490361/

1. Journal Publication:

    

   1. Farzana Tasnim, Shatabdee Bala, Umme Honey, Tania Akter, and Md. Karam Newaz PERFORMANCE ANALYSIS OF DIFFERENT MACHINE LEARNING ALGORITHMS TO PREDICT OBESITY, Journal of Gono Bishwabidyalay Vol.4 Issue:1 January 2023 page: 192-207
   1. Tania Akter, Ali, M.H., Khan, M., Satu, M., Uddin, M., Alyami, S.A., Ali, S., Azad, A.K.M. and Moni, M.A., 2021. Improved transfer-learning-based facial recognition framework to detect autistic children at an early stage. Brain Sciences, 11(6), p.734.
   2. W.Z. Loskor, Sharif Ahamed, Tania Akter, Farzana Tasnim “Study of Control and Autistic Brain Based on Corpus Callosum Analysis”, International Journal of Engineering Trends and Technology 70.2(2022):180-184.
   3. Tania Akter, Roena Afroze Aenney, Md. Sharif Ahamed, Lipika Barua, Study of Anatomical Structure of Corpus Callosum Differentiate Between Control and Autistic Brain, Journal of Gono Bishwabidyalay, Vol 3, and December 2020.
   4. Tania Akter, Satu, M.S., Khan, M.I., Ali, M.H., Uddin, S., Lio, P., Quinn, J.M. and Moni, M.A., 2019. Machine learning-based models for early-stage detection of autism spectrum disorders. IEEE Access, 7, pp.166509-166527.

   6.      Lipika Barua, Md. Sharif Ahamed and Tania Akter. Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier. International Journal of Computer Applications 182(46):29-33, March 2019.

    

   1. Md. Shahriare Satu, Tania Akter, Lipika Barua, Roena Afroze Aenney, Md. Julkar Nayeen Mahi. “Exploring Frequent Features of Teaching Assistant to Improve Quality of Education Applying Machine Learning Algorithms”, IJCSIS Volume 16 No. 12, December 2018.
   2. Tania Akter, Md. Shahriare Satu, Lipika Barua, Farha Farida Sathi, Mohammad Hanif Ali, Statistical Analysis of the Activation Area of Fusiform Gyrus of Human Brain to Explore Autism. International Journal of Computer Science and Information Security, 15.6(2017).
   3. Md. Shahriare Satu, Tania Akter, Md. Sadrul Arifin, Md. Raza Mia, Predicting Accidental Locations of Dhaka-Aricha Highway in Bangladesh using Different Data Mining Techniques, International Journal of Computer Applications, Volume 166, May 2017.
   4. Mousumi Bala, Tania Akter, Mohammad Hanif Ali, Study of Corpus Callosum of Human Brain to Predict Autism Spectrum Disorder. Journal of Gono Bishwabidyalay, 15. 5(2017).

   Conference Publications:

   1. Shahriar Hassan, Tania Akter, Tasnim, F., Newaz, M.K. (2023). Machine Learning Models to Identify Discriminatory Factors of Diabetes Subtypes. In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer, Cham.
   2. Shahriar Hassan, Abul K. Azad, Tania Akter and Md. Karam Newaz, “Detecting Bangladeshi Counterfeit Bank Notes using Transfer Learning Approach”, International Conference on Electronics and Informatics 2022, Atomic Energy Centre, Dhaka, Bangladesh, January 2023, pp. 49.
   3. S. Ahamed, M. A. Rahman, Shahriar Hassan, Tania Akter, M. R. Mia, L. Barua and M. K. Newaz, “Identify Discriminatory Factors of Dhaka to Banglabandha Accidental Fatal Subtypes in Bangladesh Using Machine Learning Techniques”, International Conference on Electronics and Informatics 2022, Atomic Energy Centre, Dhaka, Bangladesh, January 2023, pp. 83.
   4. Tania Akter and Ali, M.H., 2021, December. Predicting Autism Spectrum Disorder Based on Gender Using Machine Learning Techniques. In 2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) (pp. 185-188). IEEE.
   5. Tania Akter, Ali, M.H., Satu, M., Khan, M. and Mahmud, M., 2021, September. Towards Autism Subtype Detection Through Identification of Discriminatory Factors Using Machine Learning. In International Conference on Brain Informatics (pp. 401-410). Springer, Cham.
   6. Tania Akter, Khan, M.I., Ali, M.H., Satu, M.S., Uddin, M.J. and Moni, M.A., 2021, January. Improved machine learning based classification model for early autism detection. In 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 742-747). IEEE.
   7. Tania Akter, Ali, M.H., Khan, M.I., Satu, M.S. and Moni, M.A., 2021, January. Machine learning model to predict autism investigating eye-tracking dataset. In 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 383-387). IEEE.
   8. Satu, M.S., Azad, M.S., Haque, M.F., Imtiaz, S.K., Tania Akter, Barua, L., Rashid, M., Soron, T.R. and Al Mamun, K.A., 2019, December. Prottoy: a smart phone based mobile application to detect autism of children in Bangladesh. In 2019 4th International Conference on Electrical Information and Communication Technology (EICT) (pp. 1-6). IEEE.
   9. Md. Shahriare Satu, Farzana Tasnim, Tania Akter, Sajal Halder, Exploring significant heart disease factors based on semi supervised learning algorithms, in: 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), IEEE, 2018, pp. 1–4.
   10. Md. Shahriare Satu, Sharif Ahamed, Faruk Hossain, Tania Akter, Dewan Farid, Mining Traffic Accident Data of N5 National Highway in Bangladesh Employing Decision Trees, 5th IEEE R10 Humanitarian Technology Conference (HTC), BUET, Dhaka, Bangladesh, 2017.
   11. Md. Shahriare Satu, Tania Akter, Md. Jamal Uddin, Performance Analysis of Classifying Localization Sites of Protein using Data Mining Techniques and Artificial Neural Networks. International Conference on Electrical, Computer and Communication Engineering (ECCE), CUET, Chittagong, Bangladesh, 2017.

    

   Poster Presentation:

   1. Md. Shahriare Satu, Tania Akter, Lipika Barua, Md. Atikur Rahman, Building Conditional Inference Tree Model to Predict the Possibility of Diabetes. Day Long Seminar and AGM of Bangladesh Medical Physics Society (BMPS) – 2017, Institute of Nuclear Medicine and Allied Sciences (INMAS), Dhaka Medical College Campus, Dhaka, Bangladesh, 2017.
   2. Md. Shahriare Satu, Tania Akter, Lipika Barua, Khondaker Abdullah Al    Mamun, Detection of Autism to Explore Behavioral Pattern of Different Children in Bangladesh, Brain Symposium 2017, United International University, Dhaka, Bangladesh, 2017.
   3. Abul Kalam Azad, Shahriar Hassan, Tania Akter and Md. Karam Newaz, “Enhancing Counterfeit Bangladeshi Banknote Detection in real-time using Transfer Learning Approach”, Gono Bishwabidyalay (GB) 1^st Scientific Poster Presentation-2024, pp. 26.
   4. Samira Akter Tumpa, Md. Akiful Islam Fahim, Shahriar Hassan, Tania Akter and Md. Karam Newaz, “Automated Detection of Different Soil Compositions using Transfer Learning and Image Augmentation Techniques”, Gono Bishwabidyalay (GB) 1^st Scientific Poster Presentation-2024, pp. 31.