Self-Introduction

I received my B.Sc. (Hons.) Degree in Computer Science and Engineering from University of Asia Pacific, Dhaka Bangladesh. Currently I'm a Masters student at the Smart Mobile and Media Computing Laboratory, School of Electronics and Engineering, Chonnam National University, South Korea.

Research Interests

My current research interests are in Intelligent Networking Systems, Human-Computer Interaction, Computer Vision, Deep learning and Machine Learning.

Publications

2018

  1. Akm Ashiquzzaman, Linh Van Ma, Sang Woo Kim, Dongsu Lee, Jinsul Kim, “Node Pruning for Improved Neural Network Design”, 2018 한국디지털콘텐츠학회 공동학술대회, November 30, 2018, Sookmyung Women's University, Seoul, Korea
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  2. Akm Ashiquzzaman, Linh Van Ma, Sang Woo Kim, Dongsu Lee, Jinsul Kim, “Feature Selection based Neural Network Design for Improved Accuracy”, 2018 한국디지털콘텐츠학회 공동학술대회, November 30, 2018, Sookmyung Women's University, Seoul, Korea
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  3. Akm Ashiquzzaman, Abdul Kawsar Tushar, Md Rashedul Islam, Dongkoo Shon, Kichang Im, Jeong-Ho Park, Dong-Sun Lim, and Jongmyon Kim, "Reduction of overfitting in diabetes prediction using deep learning neural network". In IT Convergence and Security 2017 (pp. 35-43). Springer, Singapore.
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  4. Tushar, Abdul Kawsar, Akm Ashiquzzaman, Afia Afrin, and Md Rashedul Islam. "A novel transfer learning approach upon hindi, arabic, and bangla numerals using convolutional neural networks." In Computational Vision and Bio Inspired Computing, pp. 972-981. Springer, Cham, 2018. PDF   View

2017

  1. Ashiquzzaman, A., & Tushar, A. K. (2017). Handwritten Arabic numeral recognition using deep learning neural networks. arXiv preprint arXiv:1702.04663.
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  2. Ashiquzzaman, A., Tushar, A. K., Dutta, S., & Mohsin, F. (2017, November). An efficient method for improving classification accuracy of handwritten Bangla compound characters using DCNN with dropout and ELU. In Research in Computational Intelligence and Communication Networks (ICRCICN), 2017 Third International Conference on (pp. 147-152). IEEE.
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  3. Mahmud, M. S., Majumder, M. A., Tushar, A. K., Kamal, M. M., Ashiquzzaman, A., & Islam, M. R. (2017, December). Real-time feedback-centric nurse calling system with archive monitoring using Raspberry Pi. In Networking, Systems and Security (NSysS), 2017 4th International Conference on (pp. 1-5). IEEE.
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R&D Projects

Period Title Fund Support Status
2018.07.01 ~ 2021.12.03 Development of Autonomous Collaborative Swarm Intelligence Technologies for Disposable IoT Devices
초소형 IoT 디바이스를 위한 자율적 상호협력기반 군집지능 기술개발		 IITP, Republic of Korea In progress
2017.07.01 ~ Current Intelligent MEC(Mobile Edge Computing) based S/W Platform Technology for Providing High Quality Media Service over 4K-UHD Level
(4K UHD급 이상 고품질 미디어 서비스 제공을 위한 지능형 모바일 엣지 컴퓨팅 기반 S/W 플랫폼 기술 연구) 		NRF (National Research Foundation of Korea), Republic of Korea In Progress
2016.10.01 ~ 2017.03.31 A Study on Data Quality Improvement Technique for High Capacity Multimedia Transmission and Multiuser Sharing using Network Performance Analysis
네트워크 성능분석을 이용한 고용량 멀티미디어 전송 및 멀티유저간의 공유를 위한 데이터 품질향상 기술 연구 		ETRI, Republic of Korea Completed