Conference Schedule

19th November 2025

08.00 AM

Registration

08.30 AM

Inauguration and Introduction of ICTer 2025

10.00 AM

Welcome Cultural Event

10.05 AM

Address by the Platinum Partner

Saumi Kariyawasam

Cambio Software

10.30 AM

Tea Break

11.00 AM - 12.20 PM

Technical Session 01 - AI Assisted Diagnostics & Medical Imaging

11.00 AM

A Hybrid Adaptive Segmentation Pipeline with NURBS Surface Reconstruction for 3D Liver Tumor Modeling

Y. S. Windsor – University of Sri Jayewardenepura

11.15 AM

An Explainable Deep Learning Framework for Gallbladder Disease Classification on Ultrasound Images

B. K. Giridharini – Informatics institute of technology Sri Lanka

11.30 AM

Integrating U-Net Segmentation and TabNet Transfer Learning for Automated Melanoma Detection

H. Y. Weeraddana -Rajarata University of Sri Lanka

11.45 AM

Early Detection and Severity Assessment of Dysgraphia in Sinhala-Speaking Children Using a Multi-Modal Machine Learning Approach

S. Weraduwa – University of Kelaniya

12.00 PM

Machine Learning-Based System to Predict Mental Illness Using Blood Biomarkers and Demographic Factors

N. Vithanage – OUSL

12.20 PM

Lunch Break

01.20 PM

Industry Talk

Mr. Buddika Prasanna Edhireweera

Softlogic Information Technologies

01.40 PM - 02.45 PM

Industry Track

01.40 PM

Towards Responsible and Compliant AI Systems in SaaS: Transformation to Secure AI System (X-Venture)

A. I. Vidanage – X-venture

02.00 PM

ParkEase: Enterprise Grade ANPR based Access Control System. (Sri Lanka Telecom PLC)

R. Rajasegar – Sri Lanka Telecom PLC

02.20 PM

Unified Governance for Data, AI, and API in the Era of Industry 5.0 and Beyond. (X-Venture)

G. T. S. Sathindra – X-Venture

02.45 PM - 03.50 PM

Technical Session 02 - Environment and Sustainability

02.45 PM

A Real Time Decision Support System for Selected Commercial Seaweed Species in Sri Lanka: Species Identification, Quality Assessment, and an Ontology Driven Knowledge Database

Y.Milani – Uva Wellassa University of Sri Lanka

03.00 PM

Identifying Three-Band Hyperspectral Composites That Outperform RGB for Floating Plastic Detection

W. A .S Harith- University of Kelaniya

03.15 PM

Integrated Machine Learning and Ontology-Based Approach for Sustainable Weed Management in Paddy Fields

K. W. H. M. I. M.Herath – Uva Wellassa University

03.30 PM

Advanced Modeling of Inflation Dynamics in Sri Lanka: A Comparative Analysis of Statistical, Machine Learning, Deep Learning, and Hybrid Forecasting Approaches

H. N. Kudagama- University of Colombo School of Computing

03.50 PM

Tea Break

04.05 PM - 04.20 PM

Poster Session 01

04.05 PM

Deep tRF-Net: A Deep Learning Approach for Multi-Class Cancer Classification using tRNA Derived Fragments (tRF) Expression Patterns

M. M. Chathuranga – University of Ruhuna

04.08 PM

OWN-Layer Grad-CAM and PIPPC: An Occlusion-Weighted Multi-Layer Approach and a Faithfulness Metric for XAI in Medical

S. Senaratne – University of Colombo

04.11 PM

MMAD: Multi-model Adversarial Defense for Medical Images

S. Gnanapiragasam – Informatics Institute of Technology

04.14 PM

An interpretable machine learning model to predict drug addiction among children in Sri Lanka

A. N. D. S. Manathunga – University of Peradeniya

04.17 PM

PoPStat–COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19

W. M. B. S. K. Wijenayake – University of Peradeniya

04.20 PM

Q & A - Poster Session 1

04.30 PM

Day one concluding ...

Paper presentation: 10 min for the presentation , 5 min for the Q & A
Keynote: 40 min presentation , 10 min for the Q & A
Industry presentation: 10 mins for the presentation, 5 min for Demonstration and 5 mins for Q & A

20th November 2025

08.00 AM

Registration

08.30 AM - 09.25 AM

Technical Session 03 - Systems, Security & Privacy

08.30 AM

Leveraging Unintentional Electromagnetic Emissions for Radio Tomographic Imaging

W. M. O. E. Wickramasinghe- University of Colombo School of Computing

08.45 AM

Matrix-Based Forecasting and Anomaly Detection Framework for Cloud VM Resource Monitoring

W. G. C. P. B. Wattegama – Institute of Technology University of Moratuwa

09.00 AM

Balancing Privacy and Performance in Federated Learning with Adaptive Differential Privacy and Secure Multi-Party Computation

T. Attygalle – University of Colombo School of Computing

10.20 AM

Tea Break

10.40 AM - 12.15 AM

Technical Session 04 - Language, Speech, & Text Processing

10.40 AM

Adaptive Fluency and Pronunciation Assessment for Young English Learners in Sri Lanka

P.G.D.B.D. Peramuna – Sri Lanka Institute of Information Technology

10.55 AM

Unified Detection of Generated Speech: Combining Audio Spectrogram and Text Analysis

W.G.A.S Gunathilaka – University of Sri Jayewardenepura

11.10 AM

A Continual Learning Mechanism for Early Brahmi Inscription Translation with Deep Learning

J. Rathnayake – Informatics Institute of Technology

11.25 AM

Creating Digital Estampages of Stone Inscriptions using Multispectral Imaging

M. W. M. B. De Silva – University of Colombo School of Computing

11.40 AM

Authorship Identification of Sinhala Poems Using Machine Learning Techniques

P. R. S. Fernando – University of Sri Jayewardenepura

11.55 AM

Possible Distillation for Abstractive Summarization: Reducing Hallucination in Compact LLMs

V. Abishethvarman- Sabaragamuwa University of Sri Lanka

12.15 PM - 12.45 PM

Poster Session 02

12.15 PM

Dataset Sensitivity and Scalability in RNN-Based V2X Intrusion Detection

N. W. Meegammmana- Sri Lanka Institute of Information Technology

12.18 PM

Beyond Charging: How Juice Jacking Enables Data Theft and Device Compromise in Android

N. F. Minha – University of Colombo School of Computing

12.21 PM

Smart Card Vulnerabilities in Sri Lanka: A Security Assessment Across Service Providers

A. M. M. L. Alahakoon – University of Colombo School of Computing

12.24 PM

YOLOv8 for Nondestructive Black Pepper Impurity Detection

E.M.C.H.Ekanayake- University of Colombo School of Computing

12.27 PM

Work Sphere: A Multi-modal Approach to Employee Engagement Detection in Remote Work Environments with Explainable AI

K. Anbuchelvan-Institute of Informatics Technology

12.30 PM

Q & A - Poster Session 02

12.30 PM

Lunch Break

02.30 PM - 03.20 PM

Technical Session 05 - Music & Acoustic Processing

02.30 PM

Dynamic Music Harmonization via Interactive Machine Learning Methods and Genetic Algorithms

V. M. Lewangama – University of Sri Jayewardenepura

02.45 PM

Genetic Algorithm Based Deep Time Series Similarity Searching Approach for Acoustic Fingerprinting

C. Rathnayake – University of Colombo School of Computing

03.00 PM

Emotion in the Crowd: SLCSED and a MIR-Enhanced Machine Learning Pipeline

S. N. Ariyathilake – University of Moratuwa

03.20 PM

Finale and next year promo video

03.45 PM

Awards Ceremony - Best Paper

04.15 PM

Vote of Thanks and Day 2 Concluding …

04.30 PM

Tea Break

Paper presentation: 10 min for the presentation , 5 min for the Q & A
Keynote: 40 min presentation , 10 min for the Q & A

Young Outstanding Researcher


Young outstanding researchers are the future of the scientific community, and we want to recognize and celebrate their achievements. This competition is designed to identify the most outstanding young researchers and provide them with the recognition they deserve.

We'll be looking for researchers who have already demonstrated exceptional talent and promise in their field. Whether it's through groundbreaking research, innovative ideas, or a commitment to advancing the frontiers of knowledge, we want to see evidence that you're already making an impact in your field.

We're particularly interested in researchers who are working on cutting-edge topics or exploring new areas of inquiry. We're looking for individuals who are pushing the boundaries of what is currently known, and who have the potential to make significant contributions to their field in the years to come.

We'll also be evaluating the quality and impact of your research work. We'll be looking for evidence of rigorous methodology, innovative thinking, and the potential for real-world application. We'll be assessing the quality of your publications, the impact of your work, and your potential for continued success in the field.

But we're not just looking for exceptional researchers - we're also looking for individuals who have the potential to become leaders in their field. We'll be evaluating your leadership potential, communication skills, and ability to collaborate with others.

Overall, the Young Outstanding Researcher competition is an opportunity for you to showcase your exceptional talent, dedication, and promise as a young researcher. We encourage you to apply and show us why you're the most outstanding young researcher in your field.

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Most Contributing Researcher


The Most Contributing Researcher competition recognizes researchers who have made significant contributions to their field over the course of their careers. We're looking for individuals who have dedicated themselves to advancing the frontiers of knowledge, and whose work has had a meaningful impact on their field and beyond.

But we're not just looking for exceptional researchers - we're also looking for individuals who have made meaningful contributions to their community and society as a whole.

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Most Popular Researcher


This exciting competition is designed to help talented students like you showcase your research skills and connect with top professionals in academia and industry. Our focus is on selecting the most popular researcher from among the participating students, and we'll be evaluating a variety of factors to determine the winner.

One of the key factors we'll be looking at is your connection with academia and industry. We believe that strong connections and collaborative potential are essential for success in research.

We'll also be considering your communication skills, leadership abilities, and overall potential to become successful researchers. Effective communication and collaboration are critical in research, and we'll be looking for evidence that you have these skills and the potential to develop them further.

Overall, the Research Talent Event provides an excellent opportunity for you to showcase your research talents, connect with top professionals in academia and industry, and potentially win the title of most popular researcher. We encourage you to apply and show us what you've got.

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