Google’s exploreCSR Award 2023/2024
Google’s exploreCSR Award supports universities hosting Computer Science Research (CSR) workshops to increase the number of students pursuing computer science graduate studies and research careers. In this regard, the Department of Computer Science at the University of Jaffna and the Faculty of Engineering and IT at the University of Melbourne are proud to partner with Google Research to offer exploreCSR for a rich research experience for undergraduate students in computing.
Objectives
- To Build Confidence: Self-efficacy to understand, contribute, and succeed in computing research
- To Engage with Community: Sense of belonging among peers, mentors, and faculty in computing research
- To Develop Skills: Actionable knowledge to conduct, publish, present, and pursue computing research professionally
- To Inspire Motivation: Intention to pursue graduate school and research careers in computing
Writers of the Proposal and Recipients of the Research Grant
Prof. A. Ramanan (Department of Computer Science, University of Jaffna) and Prof. Saman Halgamuge (University of Melbourne), along with Ms. Rashindrie Divanka Perera (University of Melbourne) and Dr. Tamasha Malepathirana (University of Melbourne), collaborated to develop the above mentioned competitive research grant proposal and were successful in securing an amount of USD 24,000. The secured grant will be available from November 2023 to October 2024.
Prof. A. Ramanan
University of Jaffna
Prof. Saman Halgamuge
University of Melbourne
Ms. Rashindrie Perera
University of Melbourne
Dr. (Ms.) Tamasha Malepathirana
University of Melbourne
Proposed Activities
The grant will fund various activities, including TechTalks, research showcase workshops, practical training sessions, and a summer school in computational intelligence. These initiatives aim to help students gain insight into the research process, access mentorship opportunities from accomplished researchers at Google, prestigious academic institutions, and leading software companies, and discover opportunities for postgraduate studies. A portion of the funds is also designated for enabling students to utilise additional GPUs on Google Colab for conducting research works. Furthermore, one or possibly two exceptional students, selected based on their ongoing research achievements at the DCS, can embark on a research laboratory visit to the University of Melbourne in Australia. The exploreCSR award will offer essential financial support to organize the planned workshops, tech talks, and mentoring sessions, primarily targeting senior undergraduates in computer science. It may also extend participation to students in the same field from other state universities across the country.
Session 1: Research Methods in Computer Science: Theory and Ethics
The inaugural research session under the Google’s exploreCSR on “Research Methods in Computer Science: Theory and Ethics” held at the auditorium of the Department of Computer Science (DCS) on November 25, 2023, employing a hybrid format from 8:30 a.m. to 5:30 p.m. Distinguished speakers contributed to the success of the research session, covering crucial aspects of research methodology. The session was well attended by the final-year students from the DCS, as well as students from other universities, including University of Peradeniya’s Computer Engineering, University of Ruhuna’s Computer Science, Eastern University of Sri Lanka’s Computing, and Vavuniya University’s Computer Science & ICT. A total of 111 participants, including academic staff from DCS, engaged in the session. The speakers expressed their commitment to making the session remarkable by covering essential topics in preparing a research proposal and involving resource persons from various HEIs locally and internationally. They commended the opportunity given to final-year students from other state universities. All speakers and participants were honoured with certificates from Google Research.
Session 2: Realising Your Potential in the Early Stages and Achieving Success
The second session under the Google exploreCSR award, titled “Realising Your Potential in the Early Stages and Achieving Success,” was held at the DCS auditorium on January 4, 2024, in collaboration with the IEEE Computational Intelligence Society Student Branch Chapter of the University of Jaffna. The speaker, Dr. Sabesan Sithamparanathan, Founder and President of PervaSID, Fellow at Girton College, University of Cambridge, UK, and recipient of the British Empire honor in the King’s 2024 New Year Honours List, inspired undergraduate Computer Science students by sharing his journey of self-discovery and growth. He detailed the steps he took to realize his potential and achieve success, emphasizing the importance of embracing learning and celebrating every achievement. Dr. Sabesan provided a roadmap for personal and professional growth, offering valuable tips on entrepreneurship and innovation, and leaving a lasting impression on all attendees. The event was attended by third- and fourth-year students of the DCS, totaling around 60 participants. A token of appreciation was presented to the speaker in recognition of his contribution.
Session 3: AI Horizons: Exploring Real-world AI Applications
The second research session under the Google exploreCSR award was on “AI Horizons: Exploring Real-world AI Applications” held at the auditorium of the DCS on January 25, 2024, employing a hybrid format from 9.00 a.m. to 2.00 p.m. Distinguished speakers including the Co-Principal Investigators of the above Google’s exploreCSR award contributed to the success of the research session, covering crucial aspects of AI and its applications. Ms. Rashindrie Perera and Dr. Tamasha Malepathirana delivered their speeches in person, while the rest presented remotely. The session saw a strong turnout from third and fourth-year students of the DCS, with a total of 82 participants, including academic staff. The speakers were recognised with tokens of appreciation and participants were honoured with certificates from Google Research.
Session 4: Current Trends in Cybersecurity, Machine Learning, Big Data Analytics and Natural Language Processing
The third research session under the Google exploreCSR award was on “Current Trends in Cybersecurity, Machine Learning, Big Data Analytics, and Natural Language Processing ” held at the auditorium of the DCS on February 06, 2024, from 1.00 p.m. to 3.00 p.m. and on February 07, 2024 from 3.00 p.m. to 4.00 p.m. at the main laboratory of the DCS. Distinguished speakers from the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, India contributed to the success of the research session, covering the latest trends in computer science. The event was well-attended by third and fourth-year students of the DCS, totaling 65 participants, which also included a student from the University of Ruhuna and academic staff from the DCS. Tokens of appreciation were presented to the speakers in recognition of their contribution.
Session 5: Google exploreCSR Summer School on Machine Intelligence (GeSSoMI-2024)
The fourth research session was the Google exploreCSR Summer School on Machine Intelligence (GeSSoMI), held at the DCS from June 14-16, 2024, running from morning to evening. The summer school delved into the intricacies of Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and Cloud Computing, providing a transformative experience for the 111 registered student participants from state universities in Sri Lanka. Attendees had the unique opportunity to engage with distinguished speakers from Google (USA), the University of Melbourne (Australia), and esteemed institutions across Sri Lanka, including the Universities of Moratuwa, Colombo School of Computing, Peradeniya, Ruhuna, and Jaffna. These sessions, delivered in a hybrid format, offered a blend of theoretical insights and practical applications, ensuring a comprehensive understanding of cutting-edge advancements in the field. Additionally, participants benefited from hands-on training sessions conducted by industry leaders from renowned software companies such as 99x and WSO2. A banquet dinner with a cultural program was held on the second day of the event, providing further networking opportunities. More details can be found here
Session 6: GeSSoMI-2024: Cybersecurity Bootcamp
Session 7: Doing Postgraduate Research Degrees in AI: Opportunities and Traps
Session 8: Resilient Grids: Deep Learning and Trust Networks for Renewable Energy Security
Session 8: Resilient Grids: Deep Learning and Trust Networks for Renewable Energy Security
The sixth research session under the Google exploreCSR Award titled “Doing Postgraduate Research Degrees in AI: Opportunities and Traps,” was held on the 8th of July, 2024, at the Department of Computer Science Auditorium. Prof. Saman Halgamuge, FIEEE, FIET (AI, Optimization, and Pattern Recognition Research Group, Department of Mechanical Engineering, University of Melbourne, Australia), who is also a Co-Principal Investigator of this Google exploreCSR award, served as the speaker for this session.
In addition, a tech-talk on “Resilient Grids: Deep Learning and Trust Networks for Renewable Energy Security” was organized by the IEEE Computational Intelligence Society (CIS) Student Branch Chapter of the University of Jaffna, in collaboration with the Google exploreCSR award. Dr. (Mrs.) Malka N. Halgamuge (Senior Lecturer in Cybersecurity, RMIT University, Australia; Chair of the IEEE Computational Intelligence Society, Victorian Section, Australia) delivered the talk.
Students from the Department of Computer Science, University of Jaffna, and staff and students from SLIIT NorthernUni attended these sessions. Tokens of appreciation were presented to Prof. Saman Halgamuge by the Dean of the Faculty of Science and to Dr. Malka Halgamuge by the Head of the Department of Computer Science in recognition of their contributions.
Session 9: Creating Engaging Learning & Teaching Experiences via Digital Technologies
The seventh research session under the Google exploreCSR Award, titled “Creating Engaging Learning & Teaching Experiences via Digital Technologies,” took place on July 30, 2024, at the Department of Computer Science Auditorium in a hybrid format. The event was organized by the IEEE Computational Intelligence Society (CIS) Student Branch Chapter of the University of Jaffna in collaboration with Google Research. The session featured prominent speakers, including Professor Angela Carbone (Associate Deputy Vice-Chancellor of the Learning, Teaching, and Quality, STEM College, RMIT University, Australia), Professor James Harland (Director of the STEM Center for Digital Innovation and Professor in Computational Logic, RMIT University, Australia), Professor Michelle Spencer (Deputy Director of the STEM Center for Digital Innovation and Professor of Chemistry, RMIT University, Australia), Dr. Charu Rana (Team Lead of Learning, Teaching, and Quality Portfolio, STEM College, RMIT University, Australia), and Mr. Keith Hibbert (Virtual Experience Designer, STEM College, RMIT University). Approximately 90 participants, including students and staff from the Department of Computer Science at the University of Jaffna, attended the session. Digital tokens of appreciation were presented to the speakers.
Session 10: The Rise of Large Language Models: Transforming AI and Beyond
The eighth research session under the Google exploreCSR Award, titled ‘The Rise of Large Language Models: Transforming AI and Beyond,’ took place on August 29, 2024, at the Auditorium of the Department of Computer Science. The event was organised by the IEEE Computational Intelligence Society (CIS) Student Branch Chapter of the University of Jaffna in collaboration with Google Research. The session featured Dr. T. Uthayasanker, Head of the Department of Computer Science and Engineering at the University of Moratuwa. Approximately 100 participants, including students and staff from the Department of Computer Science at the University of Jaffna, attended the session. A token of appreciation was presented to the speaker.
Session 11: Google exploreCSR Symposium
The ninth research session under the Google exploreCSR Award, “Google exploreCSR Symposium”, themed “Cyber Shield: Strengthening Digital Security and Awareness,” took place on October 19, 2024, from 8:30 a.m. to 5:30 p.m. at DCS. This one-day event included four keynote addresses and provided a platform for emerging researchers in computer science, especially students, to showcase their work. A total of 17 posters, selected through a double-blind review by international and local experts, were featured. Four final-year undergraduates delivered oral presentations, while the remaining 13 posters had one-minute spotlight sessions. The symposium also included an engaging talk on Cybersecurity Legislation in Sri Lanka by first year computer science students, inspiring fellow first-year attendees. The event concluded with an awards ceremony to recognise the best oral presentation and poster, alongside certificate distribution for all participants.
| ID | Title | Authors | Poster |
|---|---|---|---|
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1 |
Improving Flow Rule Eviction Policy in Software Defined Networks |
K. Saanusan and S. Shriparen |
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2 |
Particle Distribution Analysis of Electron Microscopy Images Using Deep Learning in Material Science |
A.A.R.K. Adikari and M. Siyamalan |
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3 |
Predicting Players’ Performance in T20 Cricket Matches Using Machine Learning Approaches |
J.K. P.M. Thilakarathne and A. Ramanan |
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4 |
Semi-Supervised Active Learning for the Classification of Blood Cells |
T. Thanushika, M. Siyamalan, and R. Nirthika |
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5 |
Evaluation of Existing Text-to-Speech Systems for the Tamil Language |
M. Ahrane and K. Sarveswaran |
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6 |
Benchmarking Optical Character Recognition Systems for the Tamil Language |
S. Sivashanth, K. Sarveswaran and E.Y.A. Charles |
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7 |
Deep Learning Based Extractive Text Summarization |
S. Paranika and B. Mayurathan |
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8 |
Deep Learning-Based Vehicle Accident and Traffic Image Classification |
N.V.M.B. Vithanawasam and T. Kokul |
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9 |
Dual-Stage Deep Learning System for Automated Freshness Classification of Fruits |
D. Diron De Mel , M. Shajini and A. Ramanan |
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10 |
Enhanced Vegetable Classification Using Siamese Network |
T. Jashmina, M. Shajini and A. Ramanan |
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11 |
Facial Emotion Classification Using Semi-Supervised Learning |
W.A.A.J.U. Wickramaarachchi, M. Siyamalan and R. Nirthika |
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12 |
Fish Disease Detection and Classification using Computer Vision and Machine Learning Methods in Aquaculture |
S. A. Sandas Gimhana and B. Mayurathan |
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13 |
Hope Speech Identification for Tamil |
V. Mathusha and E.Y.A. Charles |
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14 |
Image Based Forest Fire Detection Using CNN |
V. Arulthas and B. Mayurathan |
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15 |
MRI-based Brain Tumour Detection Using Hybrid CNN-ANN Model |
P. Jeevaluxshy and S. Mahesan |
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16 |
Real-Time DDoS Attack Detection Using Apache Flink and AdaBoost Algorithm |
T. Jenifer and S. Shriparen |
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17 |
Sri Lankan Currency Recognition for People with Visual Impairments using CNN |
S. Laksana and S. Shriparen |