Department ofComputer Science& Engineering
The Department of Computer Science and Engineering at the University of Moratuwa develops future tech leaders with a strong foundation in analytical skills, innovative research, and real-world collaborations. Students are prepared to excel in fields like advanced software development, data science, AI, cybersecurity, and embedded systems, making a real impact in the tech world. With advanced facilities, industry partnerships, and a global network, the department bridges academia and industry, fostering excellence and innovation.
Specialized Study Programs in the CSE Department
The Department of Computer Science and Engineering offers four specialized streams: CSE Main, Data Science and Engineering (DSE), Integrated Computer Engineering (ICE), and Cyber Security. These programs prepare graduates with expertise in Software Engineering, Data Science, Embedded Systems, Automation, and Cyber Security, ensuring readiness to excel and innovate in key tech industries.
CSE Main Stream
The longstanding CSE (Main) program supplies the industry with premier technical talent and specialized expertise across Software Engineering, Systems Engineering, and Network Engineering. This program fosters expertise in key domains while equipping graduates with a strong understanding of emerging technologies.
Data Science and Engineering(DSE) Stream
The DSE program will supply the industry with top-tier graduates equipped with expertise in Data Science, Data Engineering, Data Analytics, and Artificial Intelligence. These professionals will be instrumental in driving innovation and data-driven decision-making across sectors.
Integrated Computer Engineering(ICE) Stream
The ICE program is designed to deliver leading technical talent to the industry, producing expert professionals in Embedded Systems Engineering, Automation Engineering, and Software Engineering. The graduates will be prepared to excel in the design and development of cutting-edge technological solutions.
Cyber Security(CyberSec) Stream
The program prepares graduates with the advanced skills and knowledge to protect computer systems and networks from malicious attacks, cultivating proficiency in the core areas of Cyber Security, including Cryptography, Network Security, and Malware Analysis.
A graduate from the Department of Computer Science and Engineering brings a strong combination of technical expertise and practical skills, capable of solving complex problems and designing innovative solutions that meet performance, safety, and efficiency standards. With experience in both hardware and software integration, as well as cross-domain design, they can tackle diverse challenges. These graduates communicate effectively with both technical and non-technical audiences, excel in teamwork, and are committed to lifelong learning and professional growth. Their independence, integrity, and ethical approach make them valuable assets to any company.
Student Projects
Computer Science and Engineering is the discipline that seeks a scientific and engineering.
Interactive Book Reader with Augmented Reality Content
A project that blends traditional reading with augmented reality. Users can explore books on web and mobile, enjoy AR experiences, and benefit from features like OCR and voice assistance. Publishers can manage collections, and readers can filter books by preference.
Fully automated Post Office MIS
This application takes care of all the tedious and error prone tasks done in postal offices to deliver maximum efficiency. It takes care of item labeling, tracking, inventory management, route planning and many other issues with its mobile and web applications.
Localized Chatbot for Bank customer Care
This project aims to develop an intelligent and interactive chatbot system designed to enhance customer support services for users in native Sri Lankan languages (Sinhala or Tamil). Built using the Rasa framework, the solution leverages Llama2 to handle complex queries effectively. .
Bus arrival time prediction and real-time updating
This project enhances bus arrival time predictions by incorporating novel features: topographical data (elevation and road geometry) and Points of Interest (tourist spots and healthcare facilities). Using XGBoost and LSTM models, we improved prediction accuracy and analyzed feature importance. The work was presented at IEEE ITSC 2024 in Edmonton.
Asia Pacific RoboCon 2023
Designed and built ‘Rabbit Robot’ and ‘Elephant Robot’ for the task of throwing flexible rings onto poles featuring dual microcontrollers on each robot for motion and arm control. Represented Sri Lanka at Asia Pacific RoboCon 2023 held in Phnom Penh, Cambodia.
Digital interfacing Rhino XR-1 mechanical robot arm
Rhino XR-1 is a full mechanical robot arm with 6 degrees of freedom. In this project, a digital interface was designed for this mechanical arm using forward kinematics so that it can be controlled remotely. This project was showcased at EXMO 2023 exhibition.
ECG Analyzer
An automated ECG analysis tool for diagnosing cardiac anomalies. It uses a ResNet model for detection, delivering results with probabilities, descriptions, and treatment insights via a user-friendly interface.
Energy Forecasting
The project tackled rising energy consumption from 5G technology by forecasting energy use to optimize network parameters and explore energy-saving methods. Using predictive models, it analyzed base station energy consumption, which accounts for over 70% of network energy use. The team also validated their models in a Zindi data science competition.
