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
Currently pursuing PhD in Computer
Science &Engineering from CUET
Master of Science in Computer Science
& Engineering from CUET
Bachelor of Science in Computer
Science & Engineering from CUET
Experience
Position: Lecturer
Organization: Department of Computer Science and Engineering, Premier
University
Duration: From October 07, 2018 to
present
Position:Chief Technology Officer
Organization: Invert Emo Tech
Duration: 3 years
Position: Assistant Software Engineer
Organization: Spectrum IT Solutions Limited
Duration: 6months
Position: Software Engineer
Organization: Royex Technologies
Duration: 8 months
Research
Journals
- 1.
Anik Sen, and Kaushik Deb. “Categorization
of actions in soccer videos using a combination of transfer learning and Gated
Recurrent Unit.”, ICT Express, Elsevier (2021), Impact Factor: 4.317,
SCIE, Q1. (Accepted)
- 2.
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 21.8 (2021): 2846, MDPI, Impact Factor: 3.576,
SCIE, Q2.
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 Proc. of IW-FCV 2022, Hiroshima, Japan, Book
Chapter - Springer
Communications in Computer and Information Science (CCIS). (Accepted)
- 4. 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)
- 5.
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)
- 6.
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)
- 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)