Dr Ardhendu Behera, Reader (Associate Professor) in Computer Vision and Artificial Intelligence
Department of Computer Science, Edge Hill University
Current Modules
- CIS3156 - Intelligent Systems (Semester 1)
- CIS2147 - Programming Languages: Theory to Practice (Semester 1)
- CIS3149 - Interface Programming (Semester 2)
- CIS2171 - Foundations in Robotics and Artificial Intelligence (Semester 2)
Current Programme Leaders
I am the Programme Lead for a suite of three undergraduate Computer Science programmes: Robotics and Artificial Intelligence, Computer Engineering, Systems Automation.Previous Programme Leaders
I have acted as a Programme Lead for undergraduate Computer Science programmes: Software Engineering, Computer Science, Computer Science & Maths, Data Science, Computer Science & Artificial Intelligence.Projects
I do supevise BSc, BEng and MSc final year projects. If interested project ideas, you might find inspiration from previous projects.Previous Modules
- CIS4118 - Data Visualization
- CIS2160 - Computer Graphics and Modelling
- CIS2118 - Programming Languages: Inspiring Creativity
MSc Projects
- Improving Adversarial Attacks On Deep Learning Based Medical Systems Using Reinforcement Learning (Callum Altham, 2021)
- Analysis of Effectiveness of the Different Deep Learning and Machine Learning Algorithms in Classifying Breast Histology Images as IDC and Non-IDC (Nagendra Babu Dupati, 2021)
- Image Recognition and Classification of Human Activity using Convolutional Neural Networks (Kieran Burrell, 2021)
- A challenge response solution to a facial recognition system (Jon-Paul Fairclough, 2020)
- Social Activity Classification of Groups in a Home Environment: A Case for Robotic Home Monitoring (Zachary Wharton, 2019)
BSc Projects
- Food Image Analysis and Visualization for Modelling Calorie Intakes and Dietary Habits (Akshaya Srinivasaramesh Latha, 2021)
- A Personal Trainer Embedded on Pepper Robot (Rajakumar Srirambalaji, 2021)
- A Comparison of Weighted Distance Scaled Staleness Patrolling and Random Patrolling in a Multi-Agent Simulation (Jack Nash, 2021)
- Development of an automatic detection system of pedestrian in front of a vehicle (Daniel Murray, 2021)
- Use Machine Learning Algorithms and Image Analysis for use in Dashcam for Traffic Light Recognition (Harry McManus, 2021)
- Development of a Building Recognition System Using Smartphone Processing (Lucas Main, 2021)
- Finding the density of tumour cells from histopathological images (Mohammed Rahman Sherif, 2021 Won best thesis prize)
- Automatic Recognition of Student Engagement from their Facial Expression and Eye Gazes (Viswa Kaviyarasu, 2021)
- The Applications of Facial Recognition to Improve Privacy (Christopher Hartless, 2021)
- Developing an algorithm that can automatically evaluate breathing rate to improve a machine’s ability to understand and identify different emotions. (Sophie Connolly, 2021)
- Using Visual Recognition in the Production of Automated Car Parks (Niall Allison, 2021)
- Road and traffic signs recognition in images captured from cameras mounted in vehicles (Luke Baard, 2020)
- How Machine Learning Can Be Used to Produce Video Game Opponents (Jacob Crewe, 2020)
- Human-Robot Social Interactions – What Celebrity do you look like? (Jay Devine, 2020)
- Food image analysis and visualisation for modelling calorie intakes and dietary habits (Bradley Lloyd, 2020)
- Get out of the mess: An automated timetable planner (Adam Fairbrother, 2019)
- Build of small prototype robot for use in social care setting using machine learning algorithms to detect falls (Peter Gallant, 2019, shortlisted for best thesis award)
- Real-time road and traffic signs recognition (Jack Hudson, 2019)
- Can Machine Learning be used to predict race results? (Adam Sears, 2019)
- Robbie the robot (NAO) as a tutor to help students in programming (Shea Heatley, 2018)
- Use of stereo cameras with computer vison for distance and volume estimation with implementation in industry (Euan Denton, 2018, Best thesis award)
- Automatic monitoring of breathing patterns (Daniel Robinson, 2018)
- Human-Robot interactions through mental commands using EMOTIV neuroheadset (Catherine Arnold, 2017)
- Vehicle Collision Detection using Computer Vision (Robert Holland, 2017)
- What are the effects of infotainment systems on passenger safety? (Connie McCrudde, 2017)
- Use of the NAO Robot to recognise the activities of daily living (Ryan Turner, 2017)
- Real-time recognition of drivers’ distractions via face orientation (e.g. looking left, right, dashboard, etc.) by analysing the images from an on-board camera (Kieron Quinn, 2017)
- Vision-based Gender and Age Recognition (Ross Carter, 2016, Best thesis award)