{"id":699,"date":"2025-05-21T14:01:04","date_gmt":"2025-05-21T08:31:04","guid":{"rendered":"https:\/\/science.cmb.ac.lk\/icds\/?page_id=699"},"modified":"2025-12-05T12:32:34","modified_gmt":"2025-12-05T07:02:34","slug":"icds-2025","status":"publish","type":"page","link":"https:\/\/science.cmb.ac.lk\/icds\/","title":{"rendered":"ICDS 2025"},"content":{"rendered":"

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Welcome to the International Conference in Data Science 2025 (ICDS-2025)<\/h3>\n

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As of today, Artificial Intelligence has been revolutionizing decision-making across many domains by the light of a solid catalyst, Data Science. This green amalgamation uplifts the capabilities of extracting deeper insights from big data, automating complex processes, and enabling proactive, intelligent actions in real-time, ultimately driving greater efficiency and innovation at a bottleneck speed. This is our third attempt in bringing together academics, researchers, data scientists, industry professionals, and undergraduate\/postgraduate students to share and discuss novel research findings, ideas, and innovations. The International Conference in Data Science (ICDS 2025) was held on 25th<\/sup><\/span>\u00a0\u2013 26th<\/sup> November 2025 as a hybrid conference with a main focus on in-person participation under the theme \u201cAutonomous AI Agents: Redefining Decision-Making in a Data-Driven World\u201d.<\/p>\n

The conference workshops were conducted on the 24th and 26th November 2025 and the inauguration ceremony was held on the 25th November 2025 at the Faculty of Science, University of Colombo, Sri Lanka<\/p>\n

The 3rd International Conference in Data Science – ICDS 2025 was organised as a milestone event in celebrating the Silver Jubilee of the Department of Statistics and the 10th Anniversary of the Center for Data Science.<\/p>\n<\/div>\n

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  1. Agentic AI in Practice<\/a><\/li>\n
  2. Applications of Gen AI<\/a><\/li>\n
  3. Accountable Autonomous Systems<\/a><\/li>\n
  4. Sustainable Innovation with AI<\/a><\/li>\n
  5. Computer Vision<\/a><\/li>\n
  6. Safe and Secure LLMs<\/a><\/li>\n
  7. Applications in Machine Learning & Deep Learning<\/a><\/li>\n
  8. Ensemble Learning with Statistics & AI<\/a><\/li>\n<\/ol>\n

    *We are not bound to the topics mentioned above and are open to exploring emerging areas of research.[\/vc_column_text][vc_single_image image=”1082″ img_size=”large”][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_custom_heading text=”Conference Timeline” font_container=”tag:h4|text_align:left|color:%23324e88″ 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text=”Abstract Submission” font_container=”tag:h4|text_align:left|color:%23324e88″ google_fonts=”font_family:Oswald%3A300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_btn title=”Abstract Submission is now closed” color=”mulled-wine” align=”center” button_block=”true” link=”url:https%3A%2F%2Fscience.cmb.ac.lk%2Ficds%2Fabstract-submission%2F|||”][vc_custom_heading text=”Registration Details” font_container=”tag:h4|text_align:left|color:%23324e88″ google_fonts=”font_family:Oswald%3A300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_btn title=”Click here” color=”mulled-wine” align=”center” button_block=”true” link=”url:https%3A%2F%2Fscience.cmb.ac.lk%2Ficds%2Ficds-2025%2Fregistration%2F|||”][vc_custom_heading text=”Mini – Hackathon 2025 – Details” font_container=”tag:h4|text_align:left|color:%23324e88″ google_fonts=”font_family:Oswald%3A300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_btn title=”Click here” color=”mulled-wine” align=”center” button_block=”true” link=”url:https%3A%2F%2Fscience.cmb.ac.lk%2Ficds%2Ficds-2025%2Fmini-hakathon%2F|||”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_custom_heading text=”Conference workshops” font_container=”tag:h4|text_align:left|color:%23324e88″ google_fonts=”font_family:Oswald%3A300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][\/vc_column_inner][\/vc_row_inner][vc_column_text]Two conference workshops were held on the 24th and 26th of November 2025 at the Faculty of Science, University of Colombo.[\/vc_column_text][vc_btn title=”Click here for more information on conference workshops” color=”mulled-wine” size=”lg” align=”center” button_block=”true” link=”url:https%3A%2F%2Fscience.cmb.ac.lk%2Ficds%2Ficds-2025%2Fworkshop%2F|||”][\/vc_tta_section][vc_tta_section title=”Keynote Speakers” tab_id=”1747820069999-80efea97-700d”][vc_row_inner][vc_column_inner width=”1\/2″][vc_single_image image=”767″ img_size=”200×200″][vc_column_text]Prof. Hiroshi Mamitsuka<\/a><\/strong>
    \nProfessor
    \nBioinformatics Center,
    \nInstitute for Chemical Research,
    \nKyoto University[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_column_text]<\/p>\n

    \n

    Professor Mamitsuka started machine learning research in 1990s, when he was working with NEC Research Laboratories in Japan. At that time, machine learning was a small but promising research community, into which reseachers with a variety of disciplines were gradually coming to satisfy their interests in realizing artificial intelligence. He developed new techniques in machine learning, motivated by a lot of real-world problems like telecom churn, campaign management and web access pattern mining. Since then, he has been in the machine learning field, although his applications have been shifted into more scientific areas, particularly in life or medical sciences, after he moved to academia. His current research focus in machine learning is on graphs, high dimensional data, such as tensors, and integrative learning of different types of data.<\/span><\/p>\n

     <\/p>\n<\/div>\n

    [\/vc_column_text][\/vc_column_inner][vc_column_inner][vc_separator color=”black”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/2″][vc_single_image image=”766″ img_size=”200×250″][vc_column_text]Dr. Saw Shier Nee<\/strong><\/a>
    \nDepartment of Artificial Intelligence
    \nFaculty of Computer Science and Information Technology
    \nUniversiti Malaya,
    \nMalaysia.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_column_text]Dr. Saw Shier Nee is a Senior Lecturer at the Faculty of Computer Science and Information Technology, Universiti Malaya.<\/span><\/p>\n

    \n

    She leads the Human-AI Lab (https:\/\/shiernee.com<\/a>),
    \nwhere her research focuses on applying artificial intelligence and machine learning in healthcare, particularly in maternal and fetal medicine.
    \nWith a Ph.D. from the National University of Singapore and prior experience as a research scientist at A*STAR, Singapore,
    \nDr. Saw has published extensively on AI-driven medical diagnostics and biomedical engineering.
    \nShe is also an active member of the Young Scientists Network\u2013Academy of Sciences Malaysia.<\/p>\n

    Title:<\/strong> AI in Healthcare: From Bench to Bedside \u2013 Translating Research into Impact<\/p>\n

    Description:<\/strong> Artificial Intelligence holds immense promise in transforming healthcare \u2014
    \nbut translating research into real-world clinical impact remains a complex journey.
    \nIn this keynote, Dr. Saw Shier Nee will share insights from her work at the intersection of machine learning,
    \nbiomedical engineering, and clinical collaboration. Drawing from case studies in pregnancy monitoring,
    \nneonatal diagnostics, and oral cancer lesion detection, she will explore how AI models can be designed,
    \nvalidated, and deployed with purpose. The talk will highlight lessons learned in navigating data challenges,
    \nmodel generalization, clinician engagement, and regulatory pathways, offering a practical perspective
    \non moving from lab innovation to bedside application.<\/p>\n<\/div>\n

    [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”Committee” tab_id=”1749797128848-88ac3454-b5eb”][vc_custom_heading text=”Advisory Committee” font_container=”tag:h4|text_align:left|color:%23165593″ google_fonts=”font_family:Oswald%3A300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”769″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Professor Indika Mahesh Karunathilake<\/a><\/strong>
    \nVice-Chancellor,
    \nUniversity of Colombo<\/p>\n

    [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_single_image image=”771″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Senior Professor Upul Sonnadara<\/a><\/strong>
    \nDean, Faculty of Science,
    \nUniversity of Colombo<\/p>\n

    [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_single_image image=”767″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Professor Hiroshi Mamitsuka<\/a><\/strong>
    \nKyoto University, Japan<\/p>\n

    [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_single_image image=”772″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Dr. Ng Choung Min<\/a><\/strong>
    \nUniversiti Malaya, Malaysia<\/p>\n

    [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”776″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Dr. Dharini Pathmanathan<\/a><\/strong>
    \nUniversiti Malaya, Malaysia<\/p>\n

    [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_single_image image=”777″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Dr. Ruvan Weerasinghe<\/strong><\/a>
    \nDean (Academic), Informatics Institute of
    \nTechnology, Colombo<\/p>\n

    [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_single_image image=”778″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Dr. Rushan Abeygunawardana<\/a><\/strong>
    \nFormer Head, Department of Statistics,
    \nUniversity of Colombo<\/p>\n

    [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_single_image image=”781″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Dr. Dilshani Tissera<\/strong><\/a><\/p>\n

    Head, Department of Statistics
    \nDirector – Center for Data Science
    \nUniversity of Colombo<\/p>\n

    [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_separator color=”black”][vc_custom_heading text=”Conference Co-chairs” font_container=”tag:h4|text_align:left|color:%23165593″ google_fonts=”font_family:Oswald%3A300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”821″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Dr. Gayan Dharmarathne<\/a><\/strong>
    \nSenior Lecturer,
    \nUniversity of Colombo, Sri Lanka<\/p>\n

    [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_single_image image=”962″ img_size=”200×200″ alignment=”center”][vc_column_text]<\/p>\n

    Dr. Khang Tsung Fei<\/strong><\/a>
    \nAssociate Professor,
    \nUniversiti Malaya, Malaysia<\/p>\n

    [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_separator color=”black”][vc_custom_heading text=”Conference Co-Secretaries” font_container=”tag:h4|text_align:left|color:%23165593″ google_fonts=”font_family:Oswald%3A300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_row_inner][vc_column_inner width=”1\/2″][vc_column_text]Dr. Deshanee Wickramarachchi<\/strong>
    \nProbationary Lecturer
    \nDepartment of Statistics[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_column_text] Ms. Shanthi Saubhagya<\/strong>
    \nProbationary Lecturer
    \nDepartment of Statistics[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_separator color=”black”][vc_custom_heading text=”Working Committee” font_container=”tag:h4|text_align:left|color:%23165593″ google_fonts=”font_family:Oswald%3A300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_column_text]<\/p>\n