Program Schedule
2025 IEEE FMLDS Program Schedule
If your paper is registered but does not appear on the schedule, please contact us at rezaul.bashar@ieee.org.| First Day - 02 November 2025 (Sunday) | |
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| 4:00 pm -6:00pm | Registration |
| 4:30pm -5:30pm | Greetings and Networking |
| 5:30pm -6:00pm | Women in Engineering - Professor Virginia De Sa, UC San Diego, USA - Dr Fariah Mahzabeen, North South University, Bangladesh |
| Second Day - 03 November 2025 (Monday) | |
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| 8:30am -9:00am | Registration |
| 9:00am -9:20am | Opening Ceremony Chair: Professor Haiyan Qiao, California State University, San Bernardino, USA |
| 9:20am -10:00am | Plenary Speech Advancing radiology with AI: The rise of vision-language models for report generation Professor Essam Rashed, University of Hyogo, Japan |
| 10:00am -10:30am | What makes Cognitive Radio Networks Cognitive Professor Manish Wadha, Salem State University, USA |
| 10:30am -11:00am | TEA BREAK |
| 11:00am -12:30pm | Session A Title: Advancement of Machine Learning Session Chair: Professor Tetsuya Saito, Globiz Professional University, Japan |
| Adaptive Gradient-Based Weighting in Physics-Informed Neural Networks for Two-Phase Deep-Water Wave Propagation
Peng Shu Ng, Elisa Ang, Peng Cheng Wang and Teng Yong Ng |
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| Towards a Universal Model for Denoising Computed Tomography via Iterative Fine-Tuning
Austin Yunker, Peter Kenesei, Andrew Chuang, Hemant Sharma, Jun-Sang Park, Antonino Miceli and Rajkumar Kettimuthu |
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| Online Class Incremental Learning of Acoustic Events Using Acoustic Pre-trained Models
Yao Houkpati and Darsana Josyula |
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| TIOLI-GAN with Wasserstein-1 Distance and Adaptive Gradient Penalty Tetsuya Saito |
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| Adaptive Frame Extraction and Deep CNN-Based Classification of Salt Crystallization Videos Srinivasa Kolachina, Ruth Agada, Jie Yan, Beni Dangi and Oliver Steinbock |
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| AIChessCoach: Software development aimed at competitive level chess players using Generative AI Pietro Minaya, Lucas Moreno and Cesar Salas |
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| Prediction of Mangrove Species Distribution in Sri Lanka Using Unsupervised
Machine Learning Techniques Dilini Tharangi Uyanahewage, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, Ruminda J. Wimalasiri and Somaratne Seneviratnage |
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| Mechanics-Informed Autoencoders for Synthetic Data in Structural Health Monitoring
Zy Li and Jooa Lee |
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| Parallel Session B Session Title: Cyber Security Session Chair: Jeffrey Yu, George Washington University, USA |
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| Evaluating Privacy and Utility of Synthetic Tabular Data with Membership Inference Attacks Brandon Ismalej, Xiaojun Ruan and Xunfei Jiang |
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| On Robustness of Vision-Language Models Under Adversarial Perturbations
Pu Tian, Yalong Wu, Sudheera Balagam, Kaushik Kona, Bhuvanya Sirigineedi, Tanmai Bhashyam, Manideep Nalumachu, Varshini Kotha and Justyn Pibil |
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| Machine Learning Using Interpretable Indicators of Trust for Industrial Internet of Things Security Jeffrey Yu |
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| LIMA: Leveraging Large Language Models and MCP Servers for Initial Machine Access
Mohammad Ibrahim Saleem, Sohan Simha Prabhakar, Abhinav Harsha, Devayani Nagabhushan,William Arthur Conklin, Kyu In Lee and Tania Banerjee |
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| A Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthcare Data Environments
Mohammed Omer Shakeel Ahmed |
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| ReForge: A Customizable AI-Driven Framework for End-to-End Exploit Generation and Analysis
Sohan Simha Prabhakar, Danindu Gammanpilage, Abhinav Harsha, Maalavika Sudhakar, Samarth Bhaskar Bhat and Tania Banerjee |
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| Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise
Utsab Saha, Tanvir Muntakim Tonoy and Hafiz Imtiaz |
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| Quantum-Resilient Trigonometric-Arithmetic Lossless Unified Compression with Encryption KHAN FARHAN RAFAT |
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| 12:30pm -1:30pm | LUNCH BREAK |
| 1:30pm -2:00pm | Keynote Speech Machine Learning for Reading Humans Professor Virginia De Sa, UC San Diego, USA Chair: Dr Syed Shamsul Islam, Edith Cowan University, Australia |
| 2:00pm -3:30pm | Parallel Session A Session Title: Future Machine Learning Session Chair: Professor Zahidul Islam, Islamic University, Bangladesh |
| Bayesian Belief Networks for Predicting Ecosystem Collapse Using Climate and Satellite Data
Hrithvi Salian |
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| An ML-driven Adaptive TGTCT-2SRU-Based Security Framework With Polymorphic Shellcode Analysis For Multi-Layered Cloud Environment
Abhijeet Mukkawar and Ravichandra Kulkarni |
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| Causal Intervention Sequence Analysis for Fault Tracking in Radio Access Networks
Chenhua Shi, Jayanta Choudhury, Joji Philip and Subhadip Bandyopadhyay |
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| Time-Resolved Monitoring of Ethanol and VOC Emissions in Strawberry Spoilage Using Low-Cost Gas Sensors Nana Amankwatia Tuffour-KWarteng |
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| A Hybrid Vision Transformer and Feature-Based Model for Mitotic Figure Classification in Glioma Essam Rashed | |
| RPKT: Learning What You Don’t Know - Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Jinwen Tang, Qiming Guo and Zhicheng Tang |
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| An Intelligent Video Surveillance System with Temporal-Enhanced YOLOv8 for Real-Time Fire, Accident, and License Plate Detection in Public Safety Monitoring
Md Zahidul Islam, Md Rashed, Md Imran Hossain and Feroza Naznin |
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| Parallel Session B Session Title: Machine Learning in Engineering Applications Session Chair: Professor Emmanuel Kidando, Cleveland State University, USA |
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| PREFIL: Preference-Ranked Imitation Learning from Suboptimal Demonstrations Ketan Anand | |
| Spectral Graph Filtering for Long-Term Multivariate Time Series Forecasting Zongyao Feng and Konstantin Markov | |
| Low-Cost Sensor Fusion Framework for Organic Substance Classification and Quality Control Using Classification Methods Borhan Uddin Chowdhury, Damian Valles and MD Raf E Ul Shougat | |
| Deep Learning Models for Speech Dereverberation: Dual-Label LSTMs Compared with Transformers Hao Zhang | |
| Mitigating Congestion with Physics-Informed Neural Networks and Adaptive Traffic Signal Control
Ntemi Masanja, Abdul Ngereza, Tumaini Sakaza, Philip Balyagati and Emmanuel Kidando | |
| Unified Predictive Maintenance with Generative Anomaly Injection, RL Scheduling in Data-Driven Digital Twins
RAJ KUMAR MYAKALA, Sampath Lavudya, vinithya reddy podduturi, AKHIL REDDY JAGIRAPU, sanjeev kumar pedhapally and praveen kumar nagata | |
| 3:30pm -3:45pm | AFTERNOON TEA BREAK |
| 3:45pm -5:45pm | Parallel Session A Session Title: Computer Vision Session Chair: Dr Syed Shamsul Islam, Edith Cowan University, Australia |
| Policy-Driven Transfer Learning in Resource-Limited Animal Monitoring Nisha Pilla, Aditi Virupakshaiah, Harrison W. Smith, Amanda J. Ashworth, Prasanna, Phillip R. Owens, Adam R. Rivers, Bindu Nanduri and Mahalingam Ramkumar | |
| A Jetson TX2-Based License Plate Recognition and GPS Tracking System for Vehicular Surveillance
Jared Jan Abayan, Leonard Ambata, Argel Bandala, Rae Elise Dalangin, Ivan Alexis Duaqui, Joshua Vincent Saavedra, Mikaylo Junell Veloria and Ronnel Agulto | |
| Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation
Osama Hardan, Omar Elshenhabi, Tamer Khattab and Mohamed Mabrok | |
| A Data-Driven RetinaNet Model for Small Object Detection in Aerial Images Zhicheng Tang | |
| HESS: Height-Aware Benchmarking of Monocular Depth Estimation Using Synthetic and Real Datasets
Khulan Khalzaa | |
| Evaluating LLM Reasoning for Suicide Screening with the Columbia-Suicide Severity Rating Scale
Avinash Patil | |
| Parallel Session B Session Title: Application of Machine learning and Artificial intelligence in transportation Systems and Safetyn Session Chair: Professor Deo Chimba, Tennessee State University, USA |
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| Machine Learning-Based Aggregation of Contributing Factors Influencing Traffic Safety at Rural Intersections
Senkondo, Erickson, Chimba, Deo, Madalo, Masanja; Blue, Shala | |
| LSTM Based Deep Learning for Delay Prediction at Railroad Highway Grade Crossings Using Synthetic Data
Madalo, Masanja, Chimba, Deo; Matongo, Therezia; Blue, Shala | |
| Last-Mile Route Optimization Using Genetic Algorithm, Integer Programming, and Machine Learning-Based Clustering and Cost Estimation Models
Yeboah, Afia; Chimba, Deo; Mbabazi, Jeannine; Bist, Sandeep | |
| An Enhanced Lightweight Model for Real-time Pavement Condition Index Prediction
Anthony Dontoh | |
| Predicting Likelihood of Multiple Secondary
Ngereza, Abdul; Kidando, Emmanuel;Bikuba,Caroline;Kitali,Angela and Kutela, Boniphace | |
| Comparative Analysis of Machine Learning Algorithms with Feature Selection for Predicting AADT
Chimba, Deo; Gupta, Subash; Matongo, Therezia; Lee, David | |
| Shape Prior Fusion for Efficient 3D Reconstruction
Kamanuru, Vamsidhar Reddy; Tawade, Hrishikesh Gopal; Dekkata, Sai Charan and Bheri, Sam Prakash | |
| Automated Synthetic Dataset Creation for Vehicle Classification and Counting
Ambata, Leonard*; Dadios, Elmer | |
| A Spatiotemporal Neural Network for Short-Term Traffic Flow Prediction Krishnaveni Katta | |
| A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments
Anthony Dontoh | |
| 6:00pm -9:30pm | CONFERENCE DINNER (Registered Participants Only) |
Please click here to view the detailed schedule.