
Hello, I'm
My
Thesis: Learning Neural Surface Representation from
Prominent Objects in Video Sequences
Thesis: Cellular Automaton Based Motion Planning
for Mobile Wireless Sensor Network
My
Working on openable part detection and motion estimation techniques under the supervision a current PhD student from the Georgia Institute of Technology
Conducting lectures on the topics ‘Deep Learning’ and ‘Artificial Intelligence’
Experimented with the application of deep learning-based video super-resolution techniques for video encoding
Worked under the chair of Information Systems to develop a business modeling tool using Java.
Worked under the supervision of Dr. Salimur Choudhury in the field of Mobile Sensor Networks (MWSN) and Radio Frequency Identification (RFID) networks which resulted in 1 journal paper and 1 conference paper.
Dealt with front-end and back-end development and optimization of the in-house developed project management tool of the company.
My
Tasnim Ahmed, Shahriar Ivan, Ahnaf Munir, Sabbir Ahmed
Under Review
Tasnim Ahmed, Ahnaf Munir, Sabbir Ahmed, Md. Bakhtiar Hasan, Md. Taslim Reza, Md. Hasanul Kabir
International Conference on Machine Vision and Application, ICMVA 2023
Ahnaf Munir, Md. Tahmid Rahman Laskar, Md. Sakhawat Hossen Salimur Choudhury
Journal of Ambient Intelligence and Humanized Computing, 2018
Ahnaf Munir, Md. Sakhawat Hossen and Salimur Choudhury
International Conference on the Theory and Practice of Natural Computing, TPNC 2016
Ahnaf Munir, Shihabuzzaman, Md. Sakhawat Hossen, Salimur Choudhury, Muhammad Mahbub Alam
International Journal of Unconventional Computing, 2016
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Browse My Recent
A fast and accurate estimation of the smartphone camera trajectory using the IMU sensor data and camera RGB data of the smartphone.
An AR-based multiplayer android game that takes inspiration from traditional tower defense and football games.
A Tetris game developed for Virtual Reality (VR). The game was developed to collect data for Advanced Realtime Tracking (ART) sensors which were fitted to the VR controller.
Application of popular machine learning-based business analysis tools on real-world data to predict whether physicians have interest in different pharmaceutical companies.
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