Conference Program

2nd International Conference on Cognitive Computing, Intelligence, and Data Science Applications

Lakehead University, Thunder Bay, Ontario, Canada
June 19-20, 2026
Program Summary
Time Zone: Eastern Time - Toronto (GMT-04:00)
Venue: Lakehead University, Thunder Bay, Ontario, Canada
Friday, June 19, 2026 Day - 1
Time: 08:00 - 08:45
Breakfast Location: The Study - Agora Building
Time: 08:45 - 09:00
Opening Ceremony Location: The Study - Agora Building
Dr. Saad B. Ahmed
Lakehead University in Thunder Bay, Canada
Time: 09:00 - 09:45
Keynote Session Location: The Study - Agora Building
Dr. Michael Beck
University of Winnipeg, Canada
Time: 09:45 - 10:30
Keynote Session Location: The Study - Agora Building
Dr. Carson K. Leung
University of Manitoba, Canada
Time: 10:30 - 11:00
Coffee Break Location: The Study - Agora Building
Time: 11:00 - 12:30
Technical Session - 1 Location: The Study - Agora Building
Session Chairs: Dr. Abedalrhman Alkhateeb
Time: 12:30 - 13:15
Panel Discussion Location: The Study - Agora Building
Responsible AI: Balancing Innovations, Ethics and Societal Impacts
Moderator:
Dr. Saad B. Ahmed, Lakehead University in Thunder Bay, Canada
Panel Members:
Dr. Viktoriia Batarchuk, Lakehead University in Thunder Bay, Canada
Dr. Abedalrhman Alkhateeb, Lakehead University in Thunder Bay, Canada
Dr. Michael Beck, University of Winnipeg, Canada
Dr. Asad Aman, Lakehead University, Canada
Time: 13:15 - 14:30
Lunch Break Location: The Study - Agora Building
Time: 14:30 - 14:40
ONE-Minute Research Talk Location: The Study - Agora Building
Dr. Saad B. Ahmed
Time: 14:40 - 15:10
Poster Presentations Location: Outpost - Agora Building
Dr. Saad B. Ahmed
Time: 15:10 - 15:55
Keynote Session Location: The Study - Agora Building
Dr. Ehsan Atoofian
Lakehead University in Thunder Bay, Canada
Time: 15:55 - 16:10
Coffee Break Location:
Time: 16:10 - 17:55
Technical Session - 2 Location: The Study - Agora Building
Session Chairs: Dr. Saad B. Ahmed
Saturday, June 20, 2026 Day - 2
Time: 09:00 - 09:30
Keynote Session Location: Virtual Room -1
Dr. T. Akilan
Lakehead University in Thunder Bay, Canada
Time: 09:30 - 10:00
Keynote Session Location: Virtual Room -1
Dr. Naqi Sayed
Lakehead University in Thunder Bay, Canada
Time: 10:00 - 12:00
Technical Session - 3
Location: Virtual Room -1
Session Chairs: Dr. T. Akilan
Technical Session - 4
Location: Virtual Room - 2
Session Chairs: Dr. Saad B. Ahmed
Technical Session - 5
Location: Virtual Room - 3
Session Chairs: Dr. Malek Alsmadi
Time: 12:00 - 12:30
Keynote Session Location: Virtual Room -1
Dr. Abedalrhman Alkhateeb
Lakehead University in Thunder Bay, Canada
Time: 12:30 - 14:30
Technical Session - 6
Location: Virtual Room -1
Session Chairs: Dr. Abedalrhman Alkhateeb
Technical Session - 7
Location: Virtual Room - 2
Session Chairs: Dr. Viktoriia Batarchuk
Technical Session - 8
Location: Virtual Room - 3
Session Chairs: Dr. Ibrahim Alhurani
Time: 14:30 - 16:30
Technical Session - 9
Location: Virtual Room -1
Session Chairs: Dr. Ehsan Atoofian
Technical Session - 10
Location: Virtual Room - 2
Session Chairs: Mohammed AbuFoul
Full Program
Time Zone: Eastern Time - Toronto (GMT-04:00)
Venue: Lakehead University, Thunder Bay, Ontario, Canada
Friday, June 19, 2026 Day - 1
Breakfast In Person Time: 08:00 - 08:45. Location: The Study - Agora Building
Opening Ceremony In Person Time: 08:45 - 09:00. Location: The Study - Agora Building
Keynote Session In Person Time: 09:00 - 09:45. Location: The Study - Agora Building
Talk: Digital Agriculture in Winnipeg, Manitoba
Abstract:At the TerraByte digital agriculture research group we are using different imaging methods to collect rich phenotypical data from plants at scale for a downstream automated analysis. Dr. Beck will present in the first part of the talk different systems that TerraByte works with and has developed in-house, such as robotic imagers and field phenocarts. The talk will further present the resulting data-structures, and how plant researchers are using this data to accelerate their research utilizing image processing and machine learning pipelines. In addition, a critical problem in deep learning model development for agriculture is the shortage of labeled datasets necessary for training accurate models. It is the challenge of generating it, that may ultimately limit the broad application of deep learning techniques across the immense variety of crop plants. In the second part of this talk recent work on using generative methods to augment datasets via synthetic images for digital agriculture deep learning model development will be presented.
Biography:

Dr. Michael Beck is a Postdoctoral Fellow at the University of Winnipeg with appointments in the Department of Physics and the Department of Applied Computer Science. He is actively engaged in interdisciplinary research that combines machine learning, deep neural networks, high-performance computing, image recognition, phenotyping, and automated agriculture. Dr. Beck leads the team Particuleye Technologies, which recently won first place in the Lake Winnipeg AquaHacking Challenge, earning $20,000 in seed funding for their innovative tool designed to improve microplastics testing and analysis. His research and innovation focus on developing advanced computational methods to address real-world environmental and technological challenges.

Keynote Session In Person Time: 09:45 - 10:30. Location: The Study - Agora Building
Talk: AI in Medicine—A Data Science Application
Abstract:In the era of big data, artificial intelligence (AI) offers unprecedented opportunities to transform pediatric healthcare. While increased healthcare utilization prior to diagnosis is well-documented in adults with rheumatic diseases, it remains unclear whether children with juvenile arthritis (JA) exhibit similar pre-diagnostic trajectories. This keynote speech introduces an AI-based data science framework designed to discover common clinical patterns within historical JA patient trajectories from birth to diagnosis. Using real-world electronic health records from a Canadian province, the framework analyzed a cohort of JA patients and their healthy peers. The system identified frequently occurring healthcare visit patterns, some of which were entirely unique to the JA cohort. Ultimately, this presentation demonstrates how these unique medical "fingerprints" can empower clinicians to identify JA earlier, paving the way for timely intervention and significantly improved long-term health outcomes for affected children. More broadly, this work highlights the transformative power of AI-driven data science in medicine, illustrating how translating complex longitudinal datasets into actionable clinical insights can revolutionize proactive patient care.
Biography:

Carson K. Leung obtained his BSc(Hons), MSc and PhD all from the University of British Columbia (UBC), Vancouver, Canada. He is currently a Professor of Computer Science, as well as the Chair of the undergraduate Data Science program, at the University of Manitoba, Canada. He has contributed more than 450 refereed publications on the topics of big data, bioinformatics, computational intelligence, cognitive computing, data analytics, data mining, data science, fuzzy systems, health informatics, information technology, machine learning, social network analysis, and visual analytics. He received Best Paper awards in IEEE SmartData 2021, IEEE IRI 2022, IEEE CBDCom 2023, and IEEE ScalCom 2025. He has also served on the Organizing Committee of many conference (e.g., Program Chair of the recent Canadian AI 2026). He is a Senior Member of the ACM and the IEEE; he is also an IEEE Computer Society Distinguished Contributor.

Coffee Break In Person Time: 10:30 - 11:00. Location: The Study - Agora Building
Technical Session - 1 In Person Time: 11:00 - 12:30. Location: The Study - Agora Building
Session Chairs: Dr. Abedalrhman Alkhateeb
11:00
11:15
Paper ID: 133
Systematic Evaluation of Large Language Models for Robust Rating and Ranked List Prediction
Ng, Yiu-Kai
11:15
11:30
Paper ID: 144
UniMath-RAG: A Unified Equation-Context Retrieval Framework for Enhancing LLM-based Mathematical Question Answering
Cihula, Connor; Ng, Yiu-Kai
11:30
11:45
Paper ID: 12
Contrastive Representation Learning for Network Flow Anomaly Detection Under Distribution Shift
Singh, Ekonkar
Presentation: Online
11:45
12:00
Paper ID: 139
Predictive Analytics for Industrial Availability: A Comparative Study of Machine Learning Models in Flexographic Printing
Dias Coelho, Raphaël ; Chaabane, Amin; Larbi, Rim
12:00
12:15
Paper ID: 14
An AI-Based Privacy-Preserving Framework for IoT Networks
Kengesbayeva, Sara; Smailov, Nurzhigit; Zhamangarin, Dusmat
12:15
12:30
Paper ID: 168
An AI-Driven Data Science Solution for Analyzing Bus Ridership Based on Clusters of Household Income
Leung, Carson
Panel Discussion In Person Time: 12:30 - 13:15. Location: The Study - Agora Building
Title: Responsible AI: Balancing Innovations, Ethics and Societal Impacts
Moderator
Panel Members
Lunch Break In Person Time: 13:15 - 14:30. Location: The Study - Agora Building
ONE-Minute Research Talk In Person Time: 14:30 - 14:40. Location: The Study - Agora Building
Dr. Saad B. Ahmed
Objectives:This short interactive session provides PhD students an opportunity to present a concise overview of their thesis work, including their research focus, methodology, and potential contribution, within one to two minutes.
Poster Presentations In Person Time: 14:40 - 15:10. Location: Outpost - Agora Building
Dr. Saad B. Ahmed
Objectives:The poster presentation session showcases participants’ research work in a visual format, encouraging interactive discussions, knowledge sharing, and constructive feedback from peers, faculty, and researchers.
Keynote Session In Person Time: 15:10 - 15:55. Location: The Study - Agora Building
Talk: Approximate Quantum Arithmetic Circuits for NISQ Devices
Abstract:Quantum computing is a promising paradigm to run challenging problems that are beyond the capability of classical computers. While quantum computers with hundreds of qubits have been built, large quantum computers with thousands of qubits are years away. One of the main barriers in building a large-scale quantum computer is vulnerability to errors. Quantum computers rely on qubits to store and process data. However, qubits are susceptible to noise and can hold quantum states for only limited periods. As a result, implementing complex arithmetic operations such as quantum multiplication and division on real quantum devices remains a major challenge. Existing quantum arithmetic circuits are often too large and too deep to execute reliably on today's noisy quantum computers.
This keynote explores how principles of approximate computing can be leveraged to address these limitations. By simplifying quantum arithmetic circuits and accepting controlled reductions in computational precision, approximate quantum multipliers and dividers can achieve substantially lower circuit complexity, reduced gate counts, and shorter execution times. These improvements directly mitigate the impact of hardware noise and enable successful execution of quantum multipliers and dividers on real quantum hardware. This work highlights approximate computing as a promising pathway toward practical quantum applications in the noisy intermediate-scale quantum (NISQ) era, enabling meaningful quantum computation today while paving the way for more sophisticated arithmetic operations on future fault-tolerant quantum systems.
Biography:

Dr. Ehsan Atoofian received his B.Sc. and M.Sc. degrees in Computer Engineering from University of Tehran, Iran, in 2000 and 2003, respectively, and his Ph.D. degree in Computer Engineering from University of Victoria, Canada, in 2008.
He is currently an Associate Professor in the Department of Electrical and Computer Engineering at Lakehead University, Thunder Bay, Canada. His research focuses on quantum computing, efficient deep-learning systems, and general-purpose graphics processing units (GPGPUs). His previous work has encompassed parallel programming models and the architecture of single-core and multi-core processors.
Dr. Atoofian's research has been supported by major Canadian funding agencies, including the Natural Sciences and Engineering Research Council of Canada (NSERC) and Mitacs. He has contributed extensively to advancing high-performance and intelligent computing technologies through both academic research and industry collaborations.

Coffee Break In Person Time: 15:55 - 16:10. Location:
Technical Session - 2 In Person Time: 16:10 - 17:55. Location: The Study - Agora Building
Session Chairs: Dr. Saad B. Ahmed
16:10
16:25
Paper ID: 11
Automated Computer Vision–Based Quantitative Morphological Analysis of Early Cerebral Organoids Using Bright-Field Microscopy
Batarchuk, Viktoriia; Dayer, Guillem; Ramirez, Janika Martikainen; Zussino, Bianca; Shepelytskyi, Yurii; Batarchuk, Serhii; Alkhateeb, Abedalrhman; Albert, Mitchell S.
16:25
16:40
Paper ID: 125
ICUTransformer: A Canadian Study on Multi-Task Transformer for Daily Prognosis in Mechanically Ventilated ICU Patients
Holt-Hindle, Andrew; Ahmed, Saad
16:40
16:55
Paper ID: 126
Case-Based Visual Retrieval-Augmented Generation Framework for Clinical Decision Support
Vinayak Naidu, Pratik; Ahmed, Saad
16:55
17:10
Paper ID: 143
Digital Harm and Mental Wellness in Digital Environments: A Multifactorial Ordinal Regression Analysis with Explainable AI
Isiaq, Sakirulai
17:10
17:25
Paper ID: 10
Edge-Intelligent IoT Framework for Multi-Level Human Stress Prediction Using Sleep Physiological Parameters
Rehman, Zia; Rehman, Ghazanfar; Muzaffar, Muneeb; Farooq, Asif; Rathore, Mazhar
17:25
17:40
Paper ID: 159
Biomarker-Based Segmentation of Fundus Diagnosis
Chaari, Islem; Luo, Xusen; Ahmed, Saad
17:40
17:55
Paper ID: 18
CNN and Vision Transformers for Stroke Classification on CT and MRI Scans
Aghasili, Hilary; Alkhateeb, Abedalrhman; Phillips, Stephon; Patel, Sankalp; Lahlouh, Amro
Saturday, June 20, 2026 Day - 2
Keynote Session Online Time: 09:00 - 09:30. Location: Virtual Room -1
Biography:

Dr. T. Akilan received his Ph.D. in Electrical and Computer Engineering from the University of Windsor, Canada. He is currently serving as an Associate Professor in the Department of Software Engineering at Lakehead University, Thunder Bay, Canada.

He joined Lakehead University in September 2019 and has since been actively involved in teaching and research. He has taught several undergraduate and graduate courses, including Large-Scale Data Analytics, Applied Computational Intelligence, Digital Signal and Image Processing, Deep Learning Theory and Models, Big Data Machine Learning Models, and Natural Language Processing under the Department of Software Engineering, as well as Deep Learning, Computer Programming I, Topics in Natural Language Processing, Graduate Project, Cloud Computing, and Mobile Computing Technology under the Department of Computer Science.

Keynote Session Online Time: 09:30 - 10:00. Location: Virtual Room -1
Talk: Business in Artificial Intelligence
Biography:

Dr. Naqi Sayed joined Lakehead University in August 2002 with an appointment to the Accounting Discipline in the Faculty of Business Administration. He holds a Masters of Business Administration from Pakistan and a Masters in Banking Management from the United Kingdom. He has gained extensive working experience in non-banking financial institutions and commercial banks in the area of small business and corporate finance. Prior to joining Lakehead University, Naqi taught Accounting and Management Accounting in Australia while working for his PhD in Accounting and Finance. Naqi received his Certified Management Accountant designation in Ontario, Canada in 2009. His teaching interests include management accounting, performance management and strategy. His management accounting publications and research interests include performance management, Balanced Scorecard and multi-criteria decision models. He has also published in the area of equity finance (especially venture capital), resource-based theory and accounting education.

Technical Session - 3 Online Time: 10:00 - 12:00. Location: Virtual Room -1
Session Chairs: Dr. T. Akilan
10:00
10:15
Paper ID: 94
Stable Multi-Signal Complement to HRV: Evaluating a Composite Physiological Wellness Index in Free-Living Conditions
M. Salman Bukhari, Syed; Evangelista, Edmund; Mohammed Ali, Sheik; Sharma, Ravishankar
Presentation: Online
10:15
10:30
Paper ID: 41
Deep Transfer Learning for Automated Brain Tumor Detection
Sasna, Shirin; Raza, Aamir ; Tariq, Noshina; Jamil, Akhtar; Ali Hameed, Alaa ; Soleimani, Faezeh
Presentation: Online
10:30
10:45
Paper ID: 26
PoseGeoNet: Efficient 3D Landmark-to-Angle Regression for Head-Pose Estimation
Mehmood, Tajwar; Waheed, Hamza; Bashir, Muhammad; Majeed, Hammad; Jamil, Akhtar; Soleimani, Faezeh
Presentation: Online
10:45
11:00
Paper ID: 120
RadiomiXAI: A Radiomics Foundation Model for Addressing Feature Importance Confounding
Namdar, Khashayar; Jaswal, Shubham; Mirjalili, Saeidehsadat; Deniffel, Dominik; Celi, Leo Anthony; Cusimano, Michael; Tyrrell, Pascal N.
Presentation: Online
11:00
11:15
Paper ID: 123
CurriculumGap-AI: A Hybrid NLP and Machine Learning Pipeline for Automated Detection of Curriculum Transition Gaps
Ghosh, Hemanta
Presentation: Online
11:15
11:30
Paper ID: 127
MedCXRFormer: Explainable Chest X-Ray Analysis with Dual-Branch Transformers
Anchan, Abhishek R.; Ahmed, Saad
Presentation: Online
11:30
11:45
Paper ID: 128
Restoring Radiomic Interpretability Following Principal Component Analysis in Prostate Magnetic Resonance Imaging-Based Cancer Risk Modeling
Namdar, Khashayar; Zakeri, Hamed; Mirjalili, Saeidehsadat; Brunt, Keith; Tyrrell, Pascal N.; Celi, Leo Anthony
Presentation: Online
11:45
12:00
Paper ID: 131
Uncertainty-Aware Retinal Disease Classification Under Domain Shift in Optical Coherence Tomography
Chen, Abigail Xi; Jafarpisheh, Noushin; Namdar, Khashayar; Tyrrell, Pascal N.
Presentation: Online
Technical Session - 4 Online Time: 10:00 - 12:00. Location: Virtual Room - 2
Session Chairs: Dr. Saad B. Ahmed
10:00
10:15
Paper ID: 35
FedSeg-DP: Differentially Private Federated Learning for Cross-Institutional Medical Image Segmentation
Soni, Mukesh
Presentation: Online
10:15
10:30
Paper ID: 86
A Hybrid Identity and Access Management Framework for Mitigating Credential-Based Cybersecurity Threats in Enterprise Environments
Mualim, Jamila; Alghamdi, Yousra ; Ben Dhaou, Imed
Presentation: Online
10:30
10:45
Paper ID: 173
Beyond the Black Box: An XAI-Driven Evaluation of Interpretability and Diagnostic Fidelity in Alzheimer’s MRI Classification
Khan, Shaiq Ahmad; Azmat, Rutaba; Khan, Faiq Ahmad; Wahab, Maryam ; Jamil, Akhtar; Hameed, Alaa Ali
Presentation: Online
10:45
11:00
Paper ID: 132
A Predictive Analytics Tool of Anopheles Mosquitoes Towards Malaria Transmission Risks and Control
Oluwagbemi, Olugbenga; Jatto, Abdulwahab; Uhomoibhi, Perpetua ; Gbode, Imoleayo ; Emebo, Onyeka
Presentation: Online
11:00
11:15
Paper ID: 137
GSTNN: A Graph Spatio-Temporal Neural Network for Traffic Network Forecasting
Ali, Sadaqat; Fatima, Dr. Ubaida
Presentation: Online
11:15
11:30
Paper ID: 138
Fuzzy Trajectory-tracking Control of a Quadrotor Vehicle with Disturbance Compensation
Morales De Jesús, César; Miranda Colorado, Roger; Garrido, Ruben
Presentation: Online
11:30
11:45
Paper ID: 110
Trustworthiness in Weighted Graphs using Fuzzy Social Network Analysis
Naz, Urooj; Fatima, Dr. Ubaida
Presentation: Online
11:45
12:00
Paper ID: 181
Uncertainty Aware Explainable and Robust Ensemble Learning for Network Trojan Detection
Afzal, Valeena; Zafar, Maryam; Saeed, Muhammad Atif; Jamil, Akhtar; M.Ead, Waleed
Technical Session - 5 Online Time: 10:00 - 12:00. Location: Virtual Room - 3
Session Chairs: Dr. Malek Alsmadi
10:00
10:15
Paper ID: 99
G-BCI: Granuloma-Inspired Boundary Correction for Instances in Geometrically Overlapping Binary Classification
Zaki, Nazar; Hamdan, Khaled
Presentation: Online
10:15
10:30
Paper ID: 81
Cognitive Insights from Media and Social Sentiment for Bitcoin Forecasting using Machine and Deep Learning Models
Aslam, Sana; Fatima, Dr. Ubaida; Batool, Komal
Presentation: Online
10:30
10:45
Paper ID: 112
WAV2VEC MEETS VIT: DECODING EMOTIONS IN SPEECH
Saumard, Matthieu; Napoleon, Thibault
Presentation: Online
10:45
11:00
Paper ID: 141
Genetic Algorithm for Automated Parameter Selection in Compressed Sensing
Shabani, Shima; Singh, Rahul; Breuß, Michael; Starke, Tim
Presentation: Online
11:00
11:15
Paper ID: 114
Parallelizing Inter-Tree Matching Step in Quad-RRT Using OpenMP
Kaur, Tashneet; Sehra, Sukhjit; Mawlood-Yunis, Abdul-Rahman ; Mohammed, Emad A.
Presentation: Online
11:15
11:30
Paper ID: 115
Trust-Weighted Federated Learning for Resilient Healthcare IoT Monitoring under Byzantine Nodes
Gana, David
Presentation: Online
11:30
11:45
Paper ID: 145
A Multi-Layer Security Framework for eHealth Systems to Reduce Data Breach Risks in London Hospitals
Lukmon , Abdul ; Oluwagbemi, Olugbenga; Onyeka, Emebo ; Dada , Emmanuel Gbenga Dada ; Azeta, Ambrose
Presentation: Online
11:45
12:00
Paper ID: 151
The Quine-Agent Pattern: A Genome-Governed Architecture for Auditable Self-Modifying Software Agents
Saghiri, Ali Mohammad
Presentation: Online
Keynote Session Online Time: 12:00 - 12:30. Location: Virtual Room -1
Biography:

Dr. Alkhateeb earned his Bachelor's degree in Computer Science from the University of Jordan, Amman, Jordan, in 2004, and obtained his MSc and Ph.D. degrees in Computer Science from the University of Windsor, Canada, in 2011 and 2018, respectively. Before joining Lakehead University, he served as an Assistant Professor at Princess Sumaya University for Technology in Amman, Jordan, from 2021 to 2023. Prior to that, he held positions as an Assistant Professor and Mitacs Accelerate Postdoctoral Fellow at the University of Windsor, Canada.

He is currently serving as a faculty member at Lakehead University, where his research focuses on developing AI-driven models to predict health outcomes related to various cancers and mental health states. His work involves integrating heterogeneous health data using embedding techniques and applying machine and deep learning approaches for analysis and prediction.

Technical Session - 6 Online Time: 12:30 - 14:30. Location: Virtual Room -1
Session Chairs: Dr. Abedalrhman Alkhateeb
12:30
12:45
Paper ID: 152
AI-Powered Automation of Ventilatory ADC Biomarkers in Diffusion-Weighed ¹²⁹Xe MRI Research
Babaeipour, Ramtin; Ryskina, Maryia; Harsh Jignesh Patel; Fox, Matthew; Ouriadov, Alexei
Presentation: Online
12:45
13:00
Paper ID: 153
Radiomics as Embeddings: A Scalable Vector Database Approach to Prostate Cancer Risk Stratification Beyond Supervised Learning
Namdar, Khashayar; Mirjalili, Saeidehsadat; Celi, Leo Anthony
Presentation: Online
13:00
13:15
Paper ID: 154
Uncertainty-Aware Routing of Large Language Models for Cost-Constrained and Risk-Sensitive Enterprise Deci-sion Support
Ersoy, Pınar; Erşahin, Mustafa
Presentation: Online
13:15
13:30
Paper ID: 155
Burst Header Packet Flooding Attack on Optical Burst Switching: Lost Bandwidth Regression Test
Farah, Nadir; Zayid, Elrasheed Ismail Mohommoud
Presentation: Online
13:30
13:45
Paper ID: 156
Machine Learning Approaches for Phishing Detection Targeting U.S. Facing Web Infrastructure: A Comparative Analysis
Imtihan, Abdullah
Presentation: Online
13:45
14:00
Paper ID: 157
Statistical Reliability of CNN-Based Medical Diagnostic Systems: A Calibrated Dual-Branch Framework for Brain-Tumour MRI Classification
Imtihan, Abdullah
Presentation: Online
14:00
14:15
Paper ID: 158
Artificial Intelligence Large Language Model (LLM)-Based Voice Assistant for Healthcare Institutions
Butt, Amir; Oluwagbemi, Olugbenga; Oyelami, Olufemi; Onyeka, Emebo
Presentation: Online
14:15
14:30
Paper ID: 119
SemDedup-K: Real-Time Semantic Stream Deduplication in Apache Kafka Using Lightweight Sentence Embeddings
Ghosh, Hemanta
Presentation: Online
Technical Session - 7 Online Time: 12:30 - 14:30. Location: Virtual Room - 2
Session Chairs: Dr. Viktoriia Batarchuk
12:30
12:45
Paper ID: 80
Offensive Punjabi-English Text Detection for Safer Digital Spaces
Kaur, Jasleen; Roy, Chanchal
12:45
13:00
Paper ID: 161
Multimodal Wearable Analytics for Participant-Level Wellness Phenotyping Under Free-Living Conditions
Mohammed Ali, Sheik; Evangelista, Edmund; M.S. Bukhari, Syed; Sharma, Ravishankar
Presentation: Online
13:00
13:15
Paper ID: 163
Privacy-Preserving Blockchain-Based Access Control for Smart Farming Using Zero-Knowledge Proofs (ZKP)
Namane, Sarra ; El Wouroud Benabed, Aridj ; Ben Dhaou, Imed
Presentation: Online
13:15
13:30
Paper ID: 164
Impact of Cloud Computing Costs on the Total Operating Costs in Smart Buildings
Maunga, Primrose; Genkin, Mikhail
Presentation: Online
13:30
13:45
Paper ID: 165
Multiscale characterization and classification of eye diseases using adaptive image enhancement and fractal dimensions
Béjar-Cruz, Valeria; Carrizales-Velazquez, Carlos; Anzueto-Rios, Alvaro; Guzman-Vargas, Lev
Presentation: Online
13:45
14:00
Paper ID: 166
Characterization of Mammographic Tissue Through Entropy–Complexity Planes
Ronquillo-Nuñez, Braulio; Carrizales-Velazquez, Carlos; Guzman-Vargas, Lev
Presentation: Online
14:00
14:15
Paper ID: 169
Hybrid Quantum--Classical LSTM for Predicting Stock Price Time Series
Montalfu, Felix; Sultana, Ajmery
Presentation: Online
14:15
14:30
Paper ID: 170
A Hybrid CNN–Quantum Neural Network Framework for Web Application Firewall Intrusion Detection
Montalfu, Felix; Rahman, Zamilur; Sultana, Ajmery
Presentation: Online
Technical Session - 8 Online Time: 12:30 - 14:30. Location: Virtual Room - 3
Session Chairs: Dr. Ibrahim Alhurani
12:30
12:45
Paper ID: 106
Feasibility of Self-Administered Knee, Elbow and Ankle Ultrasound by Untrained Individuals: Evaluating Artificial Intelligence Assistance
Nashnoush, Mohamed; Wang, Zhuohang ; Kras, Susan ; Roth, Johannes ; Eltawil, Fatma ; Tyrrell, Pascal
Presentation: Online
12:45
13:00
Paper ID: 140
Graph Density Time Series Forecasting in Email and Cybersecurity Networks Based on Hybrid HW-ARIMA Model
Ghadi, Dua
Presentation: Online
13:00
13:15
Paper ID: 105
RiskScore-Augmented Predictive Modeling for Liver Cirrhosis Stage Classification
Patel, Vandan Nimleshbhai; Anthal, Adarshan Nagara; Shiyani, Rahulkumar Govindbhai; ferdouse, lilatul; Akther, Tahmina
Presentation: Online
13:15
13:30
Paper ID: 171
Hybrid Elo-Machine Learning Models for Football Match Prediction: A Cross-League Empirical Study
Varghese, Joel Saji; Abdul-zada, Rufat; Rahman, Md Zamilur
Presentation: Online
13:30
13:45
Paper ID: 174
CGAN-Based Data Augmentation for Improving Cataract Classification
Alomari, Zainab; Abdalrada, Ahmad ; Azeez, Hasanain
Presentation: Online
13:45
14:00
Paper ID: 178
Sustainable Energy Management: A Predictive Model for Peak Electricity Consumption Times Using Hybrid AI Techniques
Abd AL-Mahdi, Ali Ibrahim Neamah, Ali Fahem
Presentation: Online
14:00
14:15
Paper ID: 179
Hybrid Multi-modal Parkinson’s Disease classification using late Fusion Strategy
Allawi, Ezzulddin; Abdalrada, Ahmad; Azeez, Hasanain
Presentation: Online
14:15
14:30
Paper ID: 34
MusicLM-Classify: Large Language Model-Driven Music Genre and Mood Classification via Audio-Text Alignment
Soni, Mukesh
Presentation: Online
Technical Session - 9 Online Time: 14:30 - 16:30. Location: Virtual Room -1
Session Chairs: Dr. Ehsan Atoofian
14:30
14:45
Paper ID: 160
A Failure-Oriented Comparison of U-Net, U-Net++, and FPN Across Biomedical Image Segmentation Datasets
Yang, Zonglin; Ramaraj, Thiruvarangan
Presentation: Online
14:45
15:00
Paper ID: 134
Benchmarking Transformer Models for Social Media Sentiment Classification: A Comparative Empirical Study of Accuracy, Latency, and Deployment Efficiency
Khan, Shahzaib
Presentation: Online
15:00
15:15
Paper ID: 13
Estimating Crypto Market Beta via Machine Learning
Aghaei, Hamed; Ekponon, Adelphe
Presentation: Online
15:15
15:30
Paper ID: 44
Integration of Blockchain and Artificial Intelligence for Sustainable Energy Consumption Management
Naserameri, Mohammad Amirmozafarisabet, Kavian Namazi, Meisam
Presentation: Online
15:30
15:45
Paper ID: 47
A Unified Sensitivity-Precision-Specificity Framework for Binary Classifier Evaluation
Ebrahimi, Mehran
Presentation: Online
15:45
16:00
Paper ID: 74
Lightweight AI Framework for Real-Time Cyberattack Detection in Smart Grid SCADA Systems Using Communication-Aware Features
Soroush, Somayeh; Abood, Samir; Annamalai, Annamalai; Chouikha, Mohamed; Sahib, Mayyadah
Presentation: Online
16:00
16:15
Paper ID: 129
A Caputo Fractional-Order Rossler Model for Chaotic Epileptic Neural Dynamics : Genetics Algorithm Estimation, Stability Analysis and EEG signal Validation
Salim, Arqam
Technical Session - 10 Online Time: 14:30 - 16:30. Location: Virtual Room - 2
Session Chairs: Mohammed AbuFoul
14:30
14:45
Paper ID: 142
Assessing the Impact of Unsupervised Clustering on Tinnitus Classification at the Population Level
Wojtarowicz, Nicolas; Tyrrell, Pascal
Presentation: Online
14:45
15:00
Paper ID: 136
Hybrid AI Framework for Malaria Risk Prediction: Integrating Bayesian Spatial Modelling and Machine Learning
Afolayan, Abimbola; Oluwagbemi, Olugbenga; Ojokoh, Bolanle ; Sarumi, Oluwafemi; Emebo, Onyeka
Presentation: Online
15:00
15:15
Paper ID: 135
Improving Regional OCT-Based Classification of Stargardt Disease Through GAN-Generated Synthetic Images
Zhao, Michael; Jafarpisheh, Noushin; Namdar, Khashayar; Safarzadeh, Mohammad Amin; Tyrrell, Pascal N.
Presentation: Online
15:15
15:30
Paper ID: 147
HEASA: Hierarchical Embedding-Aligned Semantic Aggregation for Unsupervised Job Description Clustering
Bobadilla, Dariel
15:30
15:45
Paper ID: 148
Hybrid Intelligence for Workforce Mapping: Integrating Similarity-Based and Clustering Approaches for Labor Market Analysis in the Aerospace and Defense Sector
Bobadilla, Dariel
15:45
16:00
Paper ID: 149
Using KNN to Identify Job Role Similarities in Labor Market Data
Bobadilla, Dariel
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