Computer Vision

Automated Attendance System using One Shot Learning Technique in Siamese Neural Networks (Spring 2018)

Through this project, we are aiming to develop an automated attendance system that could count the attendance of all the students from a particular class using Siamese neural network and one-shot learning technique.

Students:

• Mr. Shaik Saurab
• Mr. Ashik Khan

Rice Disease Classification and Prevention: A Tool for Smart-Agriculture (Fall 2018)

Through this project, we are planning to build a convolutional neural network that can classify several types of diseases found in Rice and provide solutions of those diseases. Once completed, we are planning to deploy this on Android Platform as an APP and release this in Bengali for the Farmers.

Students:

• Mst. Abida Sultana
• Md. Rokonuzzaman
• Ms. Farjana Akhter

Sports Event Classification Using Convolutional Neural Networks (Fall 2017)

Through this project, we are aiming to develop an automated visual system that could classify different sports events using Convolutional Neural Networks.

Students:

• Ms. Shahana Shultana Shomi
• Mr. Shakil Moharram

Neuroevolution

Self-configuring Neural Networks using Evolutionary Algorithms (Fall 2018)

We are developing Self-Configuring Neural Networks using Particle Swarm Optimization, Evolutionary Strategies, Genetic Algorithm etc.

Students:

• Mr. Hafizur Rahman Arfin
• Mr. Majedul Islam
• Mr. PK Pranto Das
• Mr. Raihanur Rahman

Applied Machine Learning

Runtime Optimization of Identification Event in ECG Based Biometric Authentication using K-Means Clustering and PCA (Fall 2017)

We are working on reducing the access time of identification event in ECG Based Biometric Authentication using K-Means Clustering and PCA

Students:

• Mr. Borhan Uddin Talukdar
• Mr. Hasanul Ferdous

Robotics

Autonomous Self-Driving Agents Developed using Deep Neural Networks deployed on Raspberry Pi

This will be our first attempt to build a mini car-bot with Raspberry Pi inside it and with the help of Deep Neural Networks it will be able to avoid obstacles, recognize places, simulate traffic rules and so on.

Students:

• Mr. Devjoyti Aich
• Ms. Antora Deb Nath
• Mr. Abdulla Al Zubair

Games and AI

Autonomous AI Powered Virtual Cars using Reinforcement Learning

This will be our first attempt to build a 2D Game where there will be AI Agents who will be able to avoid obstacles using Reinforcement Learning

Students:

• Mr. Sadman Saumik Islam
• Ms. Samia Binta Alam