DS&AI 2025

Time	Session
8.00 - 9.00	Registration and arrival of guests
9.00 - 9.30	Inauguration (Inauguration Live Broadcast)
9.30 - 10.15	Keynote: Beyond the hype: creating impact with AI - Dr. Romesh Ranawana
10.15 - 10.45	Tea
10.45 - 12.15	Paper Session: Time Series Forecasting and Predictive Modeling Spatio-Temporal Patterns of Grave Crime in Sri Lanka: A Comprehensive Analysis - Nipuni Sandunika, Oshada Senaweera & K.A.D. Deshani Short-term Solar Irradiance Forecasting Using Machine Learning: A Comprehensive Study for Sri Lanka's Tropical Climate - Paththinige Niroshan & Rajitha Nawarathna Deep Learning Models for Multimodal Demand Forecasting in Retail: A Comparative Case Study of Long Short-Term Memory and Temporal Fusion Transformers - Sehara Sooriarachchi, Gayan Hettiarachchi & Gayan Dharmarathne
12.15 - 13.15	Lunch
13.30 - 15.00	Paper Session: Computer Vision and Deep Learning Texture-Driven Siamese Networks with Vision Transformers for Offline Writer Verification - Rashmi Sandamini, Haritha Hasathcharu, Sagini Navaratnam, Gamage Upeksha Ganegoda & Shalini Upeksha Enhancing Sign Language Recognition with Video Swin Transformer and Keypoint-Based Frame Selection - Nont Arayarungsarit, Ninlawat Phuangchoke & Chantri Polprasert Advanced Data Preprocessing Pipeline for Pulmonary Embolism Detection: RSNA Challenge Dataset with Deep Learning-Based Lung Localization and Image Registration - Sandaruwan Herath, Roshan Ragel & Prabhath Gunathilake
15.00 - 15.30	Tea
15.30 - 17.00	Paper Session: Optimization, Efficiency, and Edge Computing Enhanced Adaptive Smell Agent Optimization: Leveraging Fusion Besiege Attack and Probabilistic Switching Mechanism for Constrained Optimization Tasks - Poomin Duankhan, Khamron Sunat & Chitsutha Soomlek Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices - Marcelo Ribeiro, Diogo Costa, Gonçalo Moreira, Sandro Pinto & Tiago Gomes Task-Specific Knowledge Distillation for Scalable Sentiment Classification in Low-Resource Settings - Vadivel Abishethvarman, Gobihanath Balasubramaniam, B.T.G.S Kumara, Senthan Prasanth & Banujan Kuhaneshwaran

Time	Session
9.00 - 9.45	Keynote: Towards Verifiable and Trustable AI from Multiple Perspectives - Prof. Teeradaj Racharak
9.45 - 10.15	Tea
10.45 - 12.15	Paper Session: Large Language Models and Advanced NLP Enhancing Large Language Model Collaboration Using Multi-Agent Framework with Uncertainty Quantification - Diluka Vithanage & Suvetha Suvendran Introducing a Scale for AI's Artistic Autonomy - Maarten Lamers Steering LLMs Towards Safer Shores - Victor Batenburg, Gijs Wijnholds & Olga Gadyatskaya Find a Contrary in Hotel Reviews Booking.com: A Corpus Creation for Contrary Mining Task of Assumption-based Argument Mining - Watanee Jearanaiwongkul, Teeradaj Racharak & Jiraporn Pooksook
12.15 - 13.15	Lunch
13.30 - 14.30	Keynote: Machine Learning in Bio-Medical Problem - Prof. Mahesan Niranjan
14.30 - 15.30	Paper Session: Explainable AI and Bias Detection Explainable AI for Chronic Kidney Disease Progression: Integrating Domain-Specific Cox Survival Analysis with Clinical Decision Thresholds - Malithi Abayadeera, Shamly Shanawaz, Nethmi Kavindya, Upeksha Ganegoda & Thanuja Sandanayake Enhancing Isolation Forest with Rule Based Knowledge from Association Rule Mining - Dinusha Dissanayake, Rajitha Navarathna, Shanika Karunasekara & Sameera Viswakula
15.30 - 16.00	Tea
16.00 -	Excursion and Conference Dinner

Time

Session

9.00 - 9.45

Keynote: Towards Verifiable and Trustable AI from Multiple Perspectives - Prof. Teeradaj Racharak

9.45 - 10.15

Tea

10.45 - 12.15

Paper Session: Large Language Models and Advanced NLP

Enhancing Large Language Model Collaboration Using Multi-Agent Framework with Uncertainty Quantification - Diluka Vithanage & Suvetha Suvendran
Introducing a Scale for AI's Artistic Autonomy - Maarten Lamers
Steering LLMs Towards Safer Shores - Victor Batenburg, Gijs Wijnholds & Olga Gadyatskaya
Find a Contrary in Hotel Reviews Booking.com: A Corpus Creation for Contrary Mining Task of Assumption-based Argument Mining - Watanee Jearanaiwongkul, Teeradaj Racharak & Jiraporn Pooksook

12.15 - 13.15

Lunch

13.30 - 14.30

Keynote: Machine Learning in Bio-Medical Problem - Prof. Mahesan Niranjan

14.30 - 15.30

Paper Session: Explainable AI and Bias Detection

Explainable AI for Chronic Kidney Disease Progression: Integrating Domain-Specific Cox Survival Analysis with Clinical Decision Thresholds - Malithi Abayadeera, Shamly Shanawaz, Nethmi Kavindya, Upeksha Ganegoda & Thanuja Sandanayake
Enhancing Isolation Forest with Rule Based Knowledge from Association Rule Mining - Dinusha Dissanayake, Rajitha Navarathna, Shanika Karunasekara & Sameera Viswakula

15.30 - 16.00

Tea

16.00 -

Excursion and Conference Dinner

Time	Session
9.00 - 9.45	Keynote: Human-Centered Pathways for AI and Machine Learning - Dr. Dilrukshi Gamage
9.45 - 10.15	Tea
10.45 - 12.15	Paper Session: Healthcare, Medicine, and Survival Analysis A Comparative Study on the Use of the Machine Learning Models and Traditional Survival Models for the Analysis of Pediatric Acute Lymphocytic Leukemia Data - Ravindi Perera, Abesingha Sunethra & Sanjeewa Gunasekara Advanced Analysis On The Application Of Artificial Intelligence Via Machine Learning In Predicting Preterm Human Births - Shyamali Karunadasa, Sudesh Bandara & Gimhani Dissanayake Smart Diagnosis of Anemia Subtypes Using CBC and Deep Learning - Akila Premathilaka & Chamila Walgampaya Predictive Modeling of ICU Mortality Using Supervised Machine Learning Algorithms - Malithi Upeksha & Sulanie Perera
12.15 - 13.15	Lunch
13.30 - 15.00	Paper Session: Domain-Specific Applications and Case Studies Analyzing Online User Feedback on Digital Wallets & Buy-Now-Pay-Later Services: Assessing Customer Sentiments of FinTech Solutions in Sri Lanka - Anali Fernando, Kasundi Sudusinghe & Sulanie Perera Cultural-Contextual Soulmate Prediction using a Multi Task Neural Network Approach for South Asian Com patibility Modeling - Kalindu Dissanayake, Prabodha Wishwanayana, Chamika Marasinghe & Madushika Gunawardana Extending a Geodatabase Framework for AI-Based Analysis of Digital Elevation Models to Support Earth Observation Applications - Ruiqi Liu, Paul Vincent Kuper, Berk Kıvılcım & Martin Breunig
15.00 - 15.30	Tea
15.30 - 17.00	Workshop 1: Collaborative Learning in Computer Science Higher Education: Tips, Tricks, and Tools - Dr. Alexandra Blank Steering Committee meeting
17.00 - 17.30	Best Paper Award and Closing Remarks

Time

Session

9.00 - 9.45

Keynote: Human-Centered Pathways for AI and Machine Learning - Dr. Dilrukshi Gamage

9.45 - 10.15

Tea

10.45 - 12.15

Paper Session: Healthcare, Medicine, and Survival Analysis

A Comparative Study on the Use of the Machine Learning Models and Traditional Survival Models for the Analysis of Pediatric Acute Lymphocytic Leukemia Data - Ravindi Perera, Abesingha Sunethra & Sanjeewa Gunasekara
Advanced Analysis On The Application Of Artificial Intelligence Via Machine Learning In Predicting Preterm Human Births - Shyamali Karunadasa, Sudesh Bandara & Gimhani Dissanayake
Smart Diagnosis of Anemia Subtypes Using CBC and Deep Learning - Akila Premathilaka & Chamila Walgampaya
Predictive Modeling of ICU Mortality Using Supervised Machine Learning Algorithms - Malithi Upeksha & Sulanie Perera

12.15 - 13.15

Lunch

13.30 - 15.00

Paper Session: Domain-Specific Applications and Case Studies

Analyzing Online User Feedback on Digital Wallets & Buy-Now-Pay-Later Services: Assessing Customer Sentiments of FinTech Solutions in Sri Lanka - Anali Fernando, Kasundi Sudusinghe & Sulanie Perera
Cultural-Contextual Soulmate Prediction using a Multi Task Neural Network Approach for South Asian Com patibility Modeling - Kalindu Dissanayake, Prabodha Wishwanayana, Chamika Marasinghe & Madushika Gunawardana
Extending a Geodatabase Framework for AI-Based Analysis of Digital Elevation Models to Support Earth Observation Applications - Ruiqi Liu, Paul Vincent Kuper, Berk Kıvılcım & Martin Breunig

15.00 - 15.30

Tea

15.30 - 17.00

Workshop 1: Collaborative Learning in Computer Science Higher Education: Tips, Tricks, and Tools - Dr. Alexandra Blank
Steering Committee meeting

17.00 - 17.30

Best Paper Award and Closing Remarks

Time	Session
9.00 - 16.00	Workshop 2: Computational Biology: Predicting Structure and Function of Proteins - Prof. Mahesan Niranjan and Dr. Rupika Wijesinghe

Time

Session

9.00 - 16.00

Workshop 2: Computational Biology: Predicting Structure and Function of Proteins - Prof. Mahesan Niranjan and Dr. Rupika Wijesinghe