IEEE Summer School
On

Computational Intelligence: Theory and Application

Department of Computer Science, University of Jaffna

12-14 July 2023

Introduction

The three days summer school aims to provide participants with a comprehensive understanding of the principles and applications of computational intelligence. The target group for this program comprises individuals who are enthusiastic about exploring and expanding their knowledge in this field. Whether you have a basic understanding or a solid background in computer science, mathematics, or related disciplines, this summer school offers valuable insights and hands-on experience. At this summer school, we take pride in assembling a faculty of experienced academics renowned for their contributions to computational intelligence theories and applications, as well as industry personnel with hands-on experience in real-world applications. This unique combination of academic rigor and industry-driven training guarantees an exceptional learning opportunity for all participants. Participants specializing in computational intelligence, artificial intelligence, machine learning, or related fields can benefit from this summer school. The programme also provides an opportunity to explore the latest advancements, engage in interdisciplinary discussions, and collaborate with experts and fellow researchers.

Target Group

The target group for the summer school on computational intelligence includes undergraduate and postgraduate students, researchers, academics, industry professionals, as well as enthusiasts who want to expand their knowledge and skills in this rapidly evolving field. Regardless of your background or level of expertise, this programme offers a valuable learning experience and an opportunity to engage with experts and peers in the computational intelligence community

Important Dates
Flyer
Registration
Programme

Keynote Speakers

Day 1 : Artificial Intelligence, Machine Learning and Deep Learning

Fairness in AI: AI for Disadvantaged Communities

Prof. Saman Halgamuge

University of Melbourne,

Australia

Dr. Rajith Vidanaarachchi

University of Melbourne,

Australia

Dr. Maneesha Perera

University of Melbourne,

Australia

Introduction to Machine Learning & Deep Learning

Prof. M. Siyamalan

University of Jaffna,

Sri Lanka.

Practicing Artificial Intelligence in Finance

Dr. Subha Fernando

University of Moratuwa,

Sri Lanka

Preparing for the Future of Work: Navigating GPT and Automation in Industrial Professions

Mr. Samudra Kanankearachchi

Director of Technology,

99x


Day 2 : Natural Language Processing

Building Computational Resources for Sri Lankan National Languages

Prof. Gihan Dias

University of Moratuwa,

Sri Lanka.

Open Issues in Audio AI Privacy and Security

Prof. Jennifer Williams

University of Southampton,

United Kingdom

Hands-on Training : Developing Language Tools & Models

Dr. E. Y. A. Charles

University of Jaffna,

Sri Lanka

Dr. K. Sarveswaran

University of Jaffna,

Sri Lanka

Democratizing LLMs with h2oGPT and H2O LLM Studio

Mr. Sanjeepan Sivapiran

Machine Learning Engineer,

H2O.ai

Mr. Praveen Sivakumar

Data Scientist,

H2O.ai

Dive into Automatic Machine Learning
with H2O AutoML

Mr. Mathanraj Sharma

Machine Learning Engineer,

H2O.ai


Day 3 : IoT and Robotics

Emerging Trends in IoT

Prof. Roshan G. Ragel

University of Peradeniya,

Sri Lanka

Introduction to Robotics

Prof. Thrishantha Nanayakkara

Imperial College London,

United Kingdom

Hands on Training: IoT Devices

Dr. A. Kaneswaran

University of Jaffna,

Sri Lanka

Mr. R. Valluvan

University of Jaffna,

Sri Lanka

Mr. S. Suthakar

University of Jaffna,

Sri Lanka

Industrial Norm on IoT and its Advancement in Healthcare, Agriculture and Manufacturing Ecosystems

Mr. Miller Alexander Rajendran

CEO

SenzAgro Solution

Mr. Arunn Balasundram

AIoT Architect

Senzmate IoT Intelligence