2025 IEEE FMLDS Program Schedule (Continued..)

Day 03- 04 November 2025 (Tuesday)
8:00am -9:00am Registration
9:00am -9:30am Keynote Speech
Publishing Your Machine Learning and Data Science Research with Elsevier

Chris Katsaropoulos, Senior Acquisitions Editor for Computer Science, Elsevier
Chair: Professor Komalpreet Kaur, Salem State University, USA
9:30am -10:30am Parallel Session A
Session Title: Pattern Recognition
Session Chair: Professor Mohamed Mabrok, Qatar University, Qatar
An Integrated Transformer Learning Based Framework for Multi-Stage Feature Optimization in Naval Intention Detection
Md Azizul Hakim, Monica Nicolescu and Mircea Nicolescu
An Aperture-Based Spatiotemporal Metric for Mobility Intelligence
Mahdi Zarif, Jan Eric Martins-Simonsen and Jason O. Hallstrom
MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory
Pouya Shaeri, Arash Karimi and Ariane Middel
Feature-Aware Deep Learning for Maritime Intent Recognition
Md Abu Sayed, Md. Azizul Hakim, Ayesh Meepaganithage, Monica Nicolescu and Mircea Nicolescu
Robust Access Point Localization Using RSSI Fingerprinting and Pattern Similarity Filtering
Eyiara Oladipo, Ethan Scheys, Osama Najeeb and Mina Maleki
Hybrid Attention-Enhanced DenseNet201 Deep Learning Model for Eye-Disease Classification from Low-Resolution Images
Kazi Nashia, Neazmul Mowla, Fazlea Rabby, Zarin Anon, Fariah Mahzabeen
Parallel Session B
Title: Industry Track
Session Chairs: Mr Anupam Chansarkar, Amazon, California, USA
Mr Abhijeet Mukkawar, Siemens, Texas, USA
Mitigating Hallucinations in LLMs: The Efficacy of Cross-Verification in Reducing Errors
- Mr Anupam Chansarkar
Industrial AI Deployment Challenges: Beyond Academic Benchmarks
Mr Abhijeet Mukkawar
10:30am -11:00am TEA BREAK
11:00am -12:30pm Parallel Session A
Session Title: Machine Learning in Language Modelling
Session Chair: Professor Komalpreet Kaur, Salem State University, USA
Classifying Scientific Peer Reviews: Distinguishing Authentic, Generic, and AI-Generated Feedback
Khalid Mahmood Malik
Discriminative Sequence Features for DNA-Binding Protein Detection Using ML and DL Techniques
NADEEM IQBAL, Islam Uddin and Syed Ahmad Chan Bukhari
DataTransformer: Software Develpment for Named Entity Normalization Using Deep Learning: “EWUNN-NEN”
Ramiro Chavez, David Torres and Cesar Salas
Forecasting UFO Sightings with Deep Learning and Natural Language Generation
Lucas Costa and Komalpreet Kaur
Traditional RAG vs. Agentic RAG: A Comparative Study of Retrieval-Augmented Systems
FNU NEHA and Deepshikha Bhati
Parallel Session B
Session Title: Data Science and Big Data
Session Chair: Dr Rezaul Bashar, GCSTMR, Australia and
Khulan Khalzaa, Tokushima University, Japan
Soccer Team Valuation Using Random Forest Regression
Denilson Zetino, Yalong Wu and Pu Tian
Towards Fair User Modeling with Survey Guided Learning
Aman Shukla, Daniel Scantlebury and Rishabh Kumar
Identifying Proposers' Behavioral Patterns in Human-AI Economic Interactions
Debanjan Borthakur, Hamdaan Ahmad and Jason Plaks
Causal Inference with Uncertainty Quantification for Counterfactual Analysis of Injury Severity in Multi-Vehicle Collisions
Philip Balyagati, Abdul Ngereza, Emmanuel Kidando, Ntemi Masanja and Caroline Bikuba
12:30pm -1:15pm LUNCH BREAK
1:15pm -2:00pm Plenary Speech
Optimal transport for clustering and graphical neural networks in biology and medicine
Professor Roummel Marcia, University of California, Marced, USA
2:00pm -3:30pm Parallel Session A
Session Title: Data Classification and Regression
Session Chair: Professor Haiyan Qiao, California State University, San Bernardino, USA
Interpretable Machine Learning for Wine Quality Prediction
Behnaz Moradijamei and Claire Jones
Predicting Music Origin with Deep Learning
Fruzsina Ladanyi and Haiyan Qiao
Investigation of Injection Molding process Parameters in Polymethyl Methacrylate (PMMA) Injection Molding Production: A Simulation and Machine Learning-Based Regression Analysis Approach.
Sonia Pol, Bhushan Tryambak Patil and AMIT J Lopes
Sliding Window based Physical Activity Classification using Smart Wearable Data
Neha Ananthavaram, Xunfei Jiang and Nhut Ho
Morphological Characteristics of Galaxies in Studying Galaxy Evolution via Optimising Classification
Sujith Thillayampalam
Parallel Session B
Session Title: Application of Machine learning and Artificial intelligence in transportation Systems and Safety II ++ Engineering Application 2
Session Chair: Professor Deo Chimba, Tennessee State University, USA
Machine Learning-Driven Feasibility Prediction in Manufacturing Design Using Scalar and 3D Geometric Features
Md Mohsin Uddin Fahim and Amit J Lopes
Hybrid Vision–Inertial Fusion for End-to-End UAV Control in Simulation
Chen, Wenhui
Transfer Learning-based Culvert Silting Condition Classification
Hemanth Madduri, Jun Zheng, Claudia Wilson and Isabel Morris, Wesley Cook
Leveraging Game Theory for Intelligent and Adaptive Traffic Signal System
Tumaini Sakaza
Time Optimization for Traffic Signal Control Using Genetic Algorithm with Machine Learning Enhancement
Jeannine Mbabazi, Jeannine Mbabazi, Deo Chimba, Erickson Senkondo and Afia Yeboah
PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification
Anthony Dontoh and Armstrong Aboah
Virtual Presentation Session 1 - 2:00pm to 5:00pm
Session Title: FMLDS
ZoomID: 849 7071 5078 Passcode: 170012
Zoom Link: https://us06web.zoom.us/j/84970715078?pwd=nZTkWVdoOaMdhUY6WC5Ivx36X2ISRU.1
Session Chair: Professor Jocelynn Cu, De La Salle University, Philippines
Player Intention Prediction in Soccer/Football Using Multimodal Fusion of Visual and Pose Data
Mohammad Mehedi Hassan
Deep Learning for Taxol Exposure Analysis: A New Cell Image Dataset and Attention-Based Baseline Model
Sean Fletcher, Gabby Scott, Douglas Currie, Xin Zhang, Yuqi Song and Bruce MacLeod
From Naive to Advanced: Enhancing Question Answering with Retrieval-Augmented Generation
Junaid Syed
Ease and Equity of Point of Interest Accessibility via Public Transit in the U.S
Junaid Syed
X-TinyBERT: An Explainable and Lightweight BERT Framework for Intrusion Detection in IoT
Shahid Latif, Qurat-Ul-Ain Mastoi, Djamel Djenouri, Mohammed S. Alshehri and Jawad Ahmad
Towards Trustworthy Flight State Identification Using Explainable Supervised Learning
Iqbal Anam, Wild Graham and Iqbal Kanwal
Machine Learning-Based Load Forecasting for Vehicle-to-Grid Scheduling: A Case Study on the Italian Power System
Zahid Ullah, Michele De Santis and Luigi Rubino
Entropy based Intuitionistic Fuzzy Weighted Least Square Twin Support Vector Machine
Q.M. Danish Lohani, Niher Ranjan Das and NaumanAnsary
Emotion Recognition in Children Using Lightweight Deep Learning Model for Mobile Applications
Hafiz Arslan Ramzan
Novel Intuitionistic Fuzzy Hierarchical Clustering Technique Emphasizing the Fuzzy Variant
Q.M. Danish Lohani, Niher Ranjan Das and Nauman Ansary
Machine Learning-Based Early Detection of Autism Spectrum Disorder in Children: A Predictive Analytical Approach
Hafiz Arslan Ramzan
ALTARN: A Tabular Residual Neural Network for Alzheimer's Disease Classification and Prediction
Keshav Balakrishna, Aditya Baisakh, Vivan Kanna, Moemal Al-Wishah and Aaron Lee
AutoCompactionAI: A Reinforcement Learning Framework for Adaptive File Compaction in Serverless Data Lakes
Vivek Venkatesan
Evaluating the Impact of Input Format on LLM Performance: JSON vs. YAML vs. Text
Aditya Narvekar and Trisha Mukherjee
PEAF: Payload Entropy Analysis Framework for Cybersecurity Classifier Robustness Evaluation
Md Mehedi Hasan, Rafiqul Islam, Quazi Mamun, Md Zahidul Islam and Junbin Gao
Design Optimization of Analog and Digital Circuits using Artificial Intelligence
Hafiz Arslan Ramzan
LARFS: Lightweight Feature Selection Framework for Enhanced Robustness and Efficiency in Cybersecurity Systems
Md Mehedi Hasan, Rafiqul Islam, Quazi Mamun, Md Zahidul Islam and Junbin Gao
Virtual Presentation Session 1A - 2:00pm to 5:00pm
Session Title: FMLDS
ZoomID: 850 4720 993 Passcode: 403524
Zoom Link: https://us06web.zoom.us/j/85047209938?pwd=J9D8TWz1b6MGkjHw1aKJ8h5D8LLcyr.1
Session Chair: Professor Radhakrishnan Nagaratnam, Anna University, India
IMPLEMENTATION OF DEEP REINFORCEMENT LEARNING BASED AUTONOMOUS DRIVING AGENTS
Radhakrishnan Nagaratnam, Rathnakannan K and Aashique K S M
Context Dropout: A Novel Method to Reduce Contextual Reliance in Object Detection
Lynn Vonderhaar, Timothy Elvira, Tyler Procko, Alexandra Davidoff and Omar Ochoa
N-DoF Teleoperational System for 4-DoF Industrial SCARA Robot Control Using Modular CAN Bus-Based Architecture
Sardar Ali
Weather Driven Machine Learning Decision Support for Rice Cultivation Suitability in Bangladesh
Jubaer Rahman, Md. Shahjada Sajid, Feroza Naznin, Md. Julfikar Ali, Md Alamgir Hossain and Md. Zahidul Islam
A Hybrid Vision Transformer and Feature-Based Model for Mitotic Figure Classification in Glioma
Essam Rashed
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
Prediction of Hurricane Helene Using Aurora Machine Learning Model
Kristen Lou
3:30pm -3:45pm AFTERNOON TEA BREAK
3:45pm -5:30pm Parallel Session A
Session Title: Advances in Health AI and Bio informatics
Session Chair: Professor Syed Ahmed Chan Bhukari, St. John’s University, USA and
Professor Rafat Khan Farhan, Air University, Pakistan
VerseAge: A phenotypic age predictor based on a shallow random network architecture
Brandon Warner, Elliot Farmer Garcia, Edward Ratner, Christopher Douglas, Anirban Datta and Amaury Lendasse
Classifying Obstructive Sleep Apnea from 3D Facial Images Using Automated Landmark Detection and Geodesic Distances
Mehraan Chowdhury and Syed Mohammed Shamsul Islam
Advanced Machine Learning with Feature Aggregation based Detection and Classification of Cardiac Arrhythmia on Electrocardiograms
Majed Balkheer, Ashis Kumer Biswas, Reda Salama and Mahmoud Ragab
Toward Smarter Air Quality Forecasting: An Advanced Modeling Approach to PM2.5 Estimation Using GEOS-CF and Machine Learning
Long Bui
A Significance Measure for Node Splits in C4.5
Shawn Wang
Event-based Human Action Recognition: Rehabilitation Monitoring Dataset and Models
Maisha Hafiz, Sahil Hassan, Serhan Gener, Joshua Mack and Ali Akoglu
Parallel Session B
Session Title: Cyber Security II and Others
Session Chair: Brandon Warner, Verseon International Corp, USA
A New Stacking Ensemble Learning Method for Semi-supervised Anomaly Detection in Water SCADA Systems
Christopher Montoya, Trevor Smith, Ivan Hinojos, Monju Tanakajima, Patrick Duane and Jun Zheng
Minimizing Toponym Ambiguity in Geocoding Tweets by Predicting Common Ground
Sunshin Lee, Mohamed Farag, Yingyuan Yang and Goutham Alavalapati
TigerGPT: A Theory-Driven AI Chatbot for Adaptive Campus Climate Surveys
Jinwen Tang, Songxi Chen and Yi Shang
Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
Qiming Guo and Hrithvi Salian
Ayurvedic-guided Natural Product Discovery as Potential Inhibitors of HIV-1 Proteins
Muhammad Alqaaf, Ahmad Kamal Nasution, Elvian Indah Nilamsari Retno Supriyanti, Naoaki Ono and Md. Altaf-Ul-Amin
A novel graph neural network approach for predicting drug-target interactions
Brandon Warner, Avi Ruthen, Edward Ratner, Elliot Farmer Garcia and Christopher Douglas
Evaluating Lightweight Vision Transformers for Chest Disease Detection in Low-Resource Clinical Settings
Mridul Banik and Ismail Hossain
Bridging Visual and Linguistic Intelligence for Chest X-rays: A Comprehensive Review of ViTs and LLM Synergies
Mridul Banik and Ismail Hossain
5:30pm -5:45pm END DAY SESSION