About

Seeking a position to utilize the potentialities with the help of educational knowledge, developed skills, imagination, creativity and abilities in a prospective organization that offers professional growth while being resourceful and innovative.

Qualification

1. Master of Science in Computer Science & Engineering from CUET, June 2021

2. Bachelor of Science in Computer Science & Engineering from CUET, November 2014

Experience

1. Position: Assistant Professor

Organization: Department of Computer Science and Engineering, Premier University

Duration: From April 10, 2022 to present

2. Position: Lecturer

Organization: Department of Computer Science and Engineering, Premier University

Duration: From October 07, 2018 to April 10, 2022

3. Position: Chief Technology Officer

Organization: Invert Emo Tech

Duration: 3 years

4. Position: Assistant Software Engineer

Organization: Spectrum IT Solutions Limited

Duration: 6 months

5. Position: Software Engineer

Organization: Royex Technologies

Duration: 8 months

Research

Journals

1. Anik Sen, Kaushik Deb, Pranab Kumar Dhar, and Takeshi Koshiba. Cricshotclassify: an approach to classifying batting shots from cricket videos using a convolutional neural network and gated recurrent unit. Sensors (Q2), SCIE, volume 21, page 2846. MDPI, 2021, (Impact Factor: 3.847).

2. Anik Sen and Kaushik Deb. Categorization of actions in soccer videos using a combination of transfer learning and gated recurrent unit. ICT Express (Q1), SCIE, volume 8, pages 65–71. Elsevier, 2021, (Impact Factor: 4.754).

Conference Proceedings:

3. Anik Sen, Syed Md Minhaz Hossain, Russo Mohammad Ashraf Uddin, Kaushik Deb, and Kang-Hyun Jo. Sequence recognition of indoor tennis actions using transfer learning and long short-term memory. In International Workshop on Frontiers of Computer Vision (IW-FCV), Hiroshima, Japan, pages 312–324. Springer, 2022.

4. Anik Sen, Syed Md Minhaz Hossain, Mohammad Ashraf Russo, Kaushik Deb, and Kang-Hyun Jo. Fine-grained soccer actions classification using deep neural network. In 2022 15th International Conference on Human System Interaction (HSI), Melbourne, Australia, pages 1–6. IEEE, 2022.

5. Syed Md. Minhaz Hossain, Anik Sen, and Kaushik Deb. Detecting spam sms using self attention mechanism. In Intelligent Computing & Optimization, Thailand, pages 175–184. Springer International Publishing, 2022.

6. Dhrubajyoti Das, Anik Sen, Syed Md. Minhaz Hossain, and Kaushik Deb. Trash image classification using transfer learning based deep neural network. In Intelligent Computing & Optimization, Thailand, pages 561–571. Springer International Publishing, 2022.

7. Saadman Sakib, Anik Sen, and Kaushik Deb. A Transfer Learning Approach to Recognize Pedestrian Attributes., In Proc. of BIM 2021, Book Chapter - Applied Intelligence for Industry 4.0, Taylor and Francis (2021). (Accepted)

8. Syed Md. Minhaz Hossain, Khaleque Md. Aashiq Kamal, Anik Sen, and Iqbal H. Sarkar. TF-IDF Feature-based Spam Filtering of Mobile SMS using Machine Learning Approach., In Proc. of BIM 2021, Book Chapter - Applied Intelligence for Industry 4.0, Taylor and Francis (2021). (Accepted)

9. Syed Md. Minhaz Hossain, Khaleque Md. Aashiq Kamal, Anik Sen, and Kaushik Deb. Tomato Leaf Disease Recognition using Depthwise Separable Convolution., In Proc. of ICO 2021, Book Chapter - Advances in Intelligent Systems and Computing, Springer (2021). (Accepted)

10. Syed Md. Minhaz Hossain, Jayed Akbar Sumon, Anik Sen, Md. Iftaker Alam, Khaleque Md. Aashiq Kamal, and Iqbal H. Sarkar. Spam Filtering of Mobile SMS using CNN-LSTM based model., In Proc. of Hybrid Intelligent Systems. (Accepted)