Message 1 IEEE/ACIS32nd AnnualInternational Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2025)PROGRAMConference Sponsors
2 332ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYMESSAGE FROM THE PRESIDENTOn behalf of Algoma University, I’m delighted to welcome you to our Brampton campus for the 32nd annual Institute of Electrical and Electronics Engineers (IEEE)/International Association for Computer and Information Science(ACIS) International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2025). We are honoured to host this prestigious international gathering that brings together leading scholars, researchers, and industry professionals from around the world. This conference reflects our commitment to cross-cultural education, academic excellence, research innovation, and meaningful global engagement. SNPD 2025 offers invaluable opportunities for our students and faculty to engage with emerging ideas and connect with global thought leaders in the field. Your presence here also strengthens our growing reputation as a centre for inclusive excellence and innovation in computer science and technology. Algoma University would like to extend our gratitude to the organizing committee, the Faculty of Computer Science and Technology, and our partners at IEEE and ACIS for making this groundbreaking event possible. I wish you an enriching and inspiring experience over the days ahead. Biindigen, Bienvenue and Welcome to Algoma University—and to SNPD 2025! Sincerely, Dr. Sheila Embleton, FRSC (she/her) Interim President and Vice-Chancellor, Algoma University
2 332ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYMESSAGE FROM THE PRESIDENTOn behalf of Algoma University, I’m delighted to welcome you to our Brampton campus for the 32nd annual Institute of Electrical and Electronics Engineers (IEEE)/International Association for Computer and Information Science(ACIS) International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2025). We are honoured to host this prestigious international gathering that brings together leading scholars, researchers, and industry professionals from around the world. This conference reflects our commitment to cross-cultural education, academic excellence, research innovation, and meaningful global engagement. SNPD 2025 offers invaluable opportunities for our students and faculty to engage with emerging ideas and connect with global thought leaders in the field. Your presence here also strengthens our growing reputation as a centre for inclusive excellence and innovation in computer science and technology. Algoma University would like to extend our gratitude to the organizing committee, the Faculty of Computer Science and Technology, and our partners at IEEE and ACIS for making this groundbreaking event possible. I wish you an enriching and inspiring experience over the days ahead. Biindigen, Bienvenue and Welcome to Algoma University—and to SNPD 2025! Sincerely, Dr. Sheila Embleton, FRSC (she/her) Interim President and Vice-Chancellor, Algoma University
4 532ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYCONFERENCE SCHEDULEDay 1 - Wednesday, July 23, 2025 (Full-Day) Morning Session8:00 a.m. - 12:00 p.m.Registration9:00 a.m. - 9:40 a.m.Opening Ceremony 9:40a.m. -10:40 a.m.Keynote Speaker 110:40 a.m. - 11:00 a.m.Coffee/Tea Break (social networking)11:00am - 12:00 p.m.Keynote Speaker 212:00 p.m. - 1:20 p.m.Lunch on your ownAfternoon Session1:20 p.m. - 5:00 p.m. Registration 1:20 p.m. - 3:00 p.m.2 Parallel Sessions (researchers and authors will present their papers)3:00 p.m. - 3:20 p.m.Coffee/Tea Break (social networking)3:20 p.m. - 5:00 p.m.2 Parallel Sessions / Workshops 6:00 p.m. - 9:00 p.m.Welcome Reception (social networking)Day 2 - Thursday, July 24, 2025 (Full-Day) Morning Session8:00 a.m. - 5:00 p.m.Registration8:20 a.m. - 10:00 a.m.2 Parallel Sessions 10:00 a.m. - 10:20 a.m.Coffee/Tea Break (social networking)10:20 a.m. - 12:00 p.m.2 Parallel Sessions 12:00 p.m. - 1:20 p.m.Lunch on your ownAfternoon Session1:20 p.m. - 3:00 p.m. Special Sessions & Workshops3:00 p.m. - 3:20 p.m.Coffee/Tea Break (social networking)3:20 p.m. - 5:00 p.m.2 Parallel Sessions or Workshops 6:30 p.m. - 9:30 p.m.Banquet Dinner & Awards: Best Paper and Best Student Paper
4 532ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYCONFERENCE SCHEDULEDay 1 - Wednesday, July 23, 2025 (Full-Day) Morning Session8:00 a.m. - 12:00 p.m.Registration9:00 a.m. - 9:40 a.m.Opening Ceremony 9:40a.m. -10:40 a.m.Keynote Speaker 110:40 a.m. - 11:00 a.m.Coffee/Tea Break (social networking)11:00am - 12:00 p.m.Keynote Speaker 212:00 p.m. - 1:20 p.m.Lunch on your ownAfternoon Session1:20 p.m. - 5:00 p.m. Registration 1:20 p.m. - 3:00 p.m.2 Parallel Sessions (researchers and authors will present their papers)3:00 p.m. - 3:20 p.m.Coffee/Tea Break (social networking)3:20 p.m. - 5:00 p.m.2 Parallel Sessions / Workshops 6:00 p.m. - 9:00 p.m.Welcome Reception (social networking)Day 2 - Thursday, July 24, 2025 (Full-Day) Morning Session8:00 a.m. - 5:00 p.m.Registration8:20 a.m. - 10:00 a.m.2 Parallel Sessions 10:00 a.m. - 10:20 a.m.Coffee/Tea Break (social networking)10:20 a.m. - 12:00 p.m.2 Parallel Sessions 12:00 p.m. - 1:20 p.m.Lunch on your ownAfternoon Session1:20 p.m. - 3:00 p.m. Special Sessions & Workshops3:00 p.m. - 3:20 p.m.Coffee/Tea Break (social networking)3:20 p.m. - 5:00 p.m.2 Parallel Sessions or Workshops 6:30 p.m. - 9:30 p.m.Banquet Dinner & Awards: Best Paper and Best Student Paper
6 732ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYWELCOME TO SNPD 202532nd IEEE/ACIS International Summer Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed ComputingAlgoma University, Brampton: (GTA) Greater Toronto Area, Canada: July 23–25, 2025About the Conference The SNPD conference brings together researchers, practitioners, and educators to present and discuss the latest innovations, trends, and challenges in the fields of software engineering, AI, networking, and parallel/distributed computing. Sponsored by IEEE, ACIS, and Algoma University, SNPD 2025 promises to be a dynamic and forward-thinking event set in the vibrant Greater Toronto Area. Key Topics of Interest Include: • Advances in software engineering and DevOps practices●• AI-driven software design, testing, and maintenance●• Deep learning for software defect prediction●• Microservices architecture & cloud software reliability• Quantum software engineering●• High-performance computing and parallel systems●• Cybersecurity, IoT, blockchain in software systems●• Ethics and responsible AI developmentSee full list in the conference program or websiteBest Paper & Student Awards Conference officers will recognize excellence through the Best Paper Award and Best Student Paper Awards. To be eligible, papers must be presented in person at the conference.Day 3 - Friday, July 25, 2025 (Half-Day) Morning Session9:00 a.m. - 10:20 a.m.2 Parallel Sessions10:20 a.m. - 11:00 a.m.Coffee/Tea Break (social networking)11:00 a.m. - 12:00 p.m.Conference Chairs Discussion & Closing Remarks
6 732ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYWELCOME TO SNPD 202532nd IEEE/ACIS International Summer Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed ComputingAlgoma University, Brampton: (GTA) Greater Toronto Area, Canada: July 23–25, 2025About the Conference The SNPD conference brings together researchers, practitioners, and educators to present and discuss the latest innovations, trends, and challenges in the fields of software engineering, AI, networking, and parallel/distributed computing. Sponsored by IEEE, ACIS, and Algoma University, SNPD 2025 promises to be a dynamic and forward-thinking event set in the vibrant Greater Toronto Area. Key Topics of Interest Include: • Advances in software engineering and DevOps practices●• AI-driven software design, testing, and maintenance●• Deep learning for software defect prediction●• Microservices architecture & cloud software reliability• Quantum software engineering●• High-performance computing and parallel systems●• Cybersecurity, IoT, blockchain in software systems●• Ethics and responsible AI developmentSee full list in the conference program or websiteBest Paper & Student Awards Conference officers will recognize excellence through the Best Paper Award and Best Student Paper Awards. To be eligible, papers must be presented in person at the conference.Day 3 - Friday, July 25, 2025 (Half-Day) Morning Session9:00 a.m. - 10:20 a.m.2 Parallel Sessions10:20 a.m. - 11:00 a.m.Coffee/Tea Break (social networking)11:00 a.m. - 12:00 p.m.Conference Chairs Discussion & Closing Remarks
8 932ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYKEYNOTE SPEAKERS Two Decades of Applied AI: A Research Journey Through Security, Networks, and LanguageMiguel Vargas Martin Professor of Computer Science, Ontario Tech University Miguel.VargasMartin@ontariotechu.caThis keynote traces a two-decade research journey at the intersection of machine learning, cybersecurity, human interaction, and natural language processing, shaped by the evolution of AI methods and their application to real-world challenges. While rooted in Dr. Vargas Martin’s research, the talk reflects more broadly on how AI has matured as a powerful enabler of scientific inquiry and system design across domains. The journey began in 2006 with statistical learning techniques for detecting child sexual abuse material in network traffic, an early demonstration of AI in support of digital safety. In 2011, neural networks were applied to predict learner behaviour in digital environments, paving the way for future user modeling efforts. By 2015, the focus shifted to detecting covert side-channel communication in wireless and mobile ad hoc networks, where machine learning uncovered hidden signaling patterns within low-level protocols. From 2018 to 2022, the research moved increasingly toward human-centered security, investigating password memorability and later generating resilient authentication data using adversarial learning and pre-trained language models. In parallel, new directions emerged in affective computing, including the modeling of artificial empathy in clinical companion robots with privacy-by-design principles (2021), and the development of emotion recognition systems for social robots (2022). Most recently, the work has returned to foundational NLP problems, including enhanced sentence-wise text segmentation using transformer models (2024) and the application of large language models to detect cryptographic misuse in software systems (2025). Throughout this arc, machine learning has remained a constant, not merely as a method, but as a lens through which to interpret, model, and shape intelligent, secure, and human-aware systems. This talk will explore that continuum, situating past projects within the evolving landscape of AI and drawing lessons for future interdisciplinary research in the spirit of the SNPD community.Biography Miguel Vargas Martin is a Professor of Computer Science at Ontario Tech University. He holds a PhD in Computer Science from Carleton University, a Master’s in Electrical Engineering from CINVESTAV-IPN, and a Bachelor’s in Computer Science from UAA. A licensed Professional Engineer in Ontario, he has led over two decades of interdisciplinary research at the intersection of cybersecurity, machine learning, and human-computer interaction. His work has addressed challenges ranging from the detection of covert communication in wireless networks to password usability, AI-generated authentication artifacts, affective computing for social robots, and large language model applications in software security. Unifying these efforts is a long-standing focus on the responsible use of AI to build secure, intelligent, and human-aware systems.
8 932ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYKEYNOTE SPEAKERS Two Decades of Applied AI: A Research Journey Through Security, Networks, and LanguageMiguel Vargas Martin Professor of Computer Science, Ontario Tech University Miguel.VargasMartin@ontariotechu.caThis keynote traces a two-decade research journey at the intersection of machine learning, cybersecurity, human interaction, and natural language processing, shaped by the evolution of AI methods and their application to real-world challenges. While rooted in Dr. Vargas Martin’s research, the talk reflects more broadly on how AI has matured as a powerful enabler of scientific inquiry and system design across domains. The journey began in 2006 with statistical learning techniques for detecting child sexual abuse material in network traffic, an early demonstration of AI in support of digital safety. In 2011, neural networks were applied to predict learner behaviour in digital environments, paving the way for future user modeling efforts. By 2015, the focus shifted to detecting covert side-channel communication in wireless and mobile ad hoc networks, where machine learning uncovered hidden signaling patterns within low-level protocols. From 2018 to 2022, the research moved increasingly toward human-centered security, investigating password memorability and later generating resilient authentication data using adversarial learning and pre-trained language models. In parallel, new directions emerged in affective computing, including the modeling of artificial empathy in clinical companion robots with privacy-by-design principles (2021), and the development of emotion recognition systems for social robots (2022). Most recently, the work has returned to foundational NLP problems, including enhanced sentence-wise text segmentation using transformer models (2024) and the application of large language models to detect cryptographic misuse in software systems (2025). Throughout this arc, machine learning has remained a constant, not merely as a method, but as a lens through which to interpret, model, and shape intelligent, secure, and human-aware systems. This talk will explore that continuum, situating past projects within the evolving landscape of AI and drawing lessons for future interdisciplinary research in the spirit of the SNPD community.Biography Miguel Vargas Martin is a Professor of Computer Science at Ontario Tech University. He holds a PhD in Computer Science from Carleton University, a Master’s in Electrical Engineering from CINVESTAV-IPN, and a Bachelor’s in Computer Science from UAA. A licensed Professional Engineer in Ontario, he has led over two decades of interdisciplinary research at the intersection of cybersecurity, machine learning, and human-computer interaction. His work has addressed challenges ranging from the detection of covert communication in wireless networks to password usability, AI-generated authentication artifacts, affective computing for social robots, and large language model applications in software security. Unifying these efforts is a long-standing focus on the responsible use of AI to build secure, intelligent, and human-aware systems.
10 1132ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYCybersecurity Analysis and Detection of Advanced Cyber Threats John (Junghwan) Rhee, Ph. D. Associate Professor, University of Central Oklahoma jrhee2@uco.eduThe frequency and sophistication of cybersecurity attacks targeting critical infrastructure, businesses, educational institutions, and government agencies continue to grow each year. Many of these attacks, such as ransomware and data breaches, are carefully orchestrated to remain stealthy and undetected over extended periods. These characteristics make detection and prevention particularly challenging, as malicious behavior is often obscured by legitimate system activity.In this talk, Dr. Rhee will present a series of research projects focused on system-wide monitoring, behavioral analysis, and advanced threat detection. His work explores data-driven methods that trace causal chains of complex attack behaviors, as well as approaches that leverage domain knowledge of operating systems to identify anomalous states indicative of cyber threats. The talk will conclude with an overview of new cybersecurity programs being developed at the University of Central Oklahoma, which aim to provide students with practical, hands-on experience and foundational skills in cybersecurity.Biography Dr. Junghwan (John) Rhee is an Associate Professor in the Department of Computer Science at the University of Central Oklahoma. He earned his Ph.D. in Computer Science from Purdue University. Before joining UCO, he served for nine years as a senior researcher and security team leader at NEC Laboratories America in Princeton, New Jersey.Dr. Rhee’s research lies at the intersection of system security and reliability, with a focus on system diagnosis, end-host security, system provenance, and cyber-physical systems. His work is grounded in data-driven methodologies, program analysis, and operating systems techniques, aiming to enhance the detection and understanding of complex cyber threats. He has published 63 peer-reviewed conference papers, 5 journal articles, and holds 29 U.S. patents.
10 1132ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYCybersecurity Analysis and Detection of Advanced Cyber Threats John (Junghwan) Rhee, Ph. D. Associate Professor, University of Central Oklahoma jrhee2@uco.eduThe frequency and sophistication of cybersecurity attacks targeting critical infrastructure, businesses, educational institutions, and government agencies continue to grow each year. Many of these attacks, such as ransomware and data breaches, are carefully orchestrated to remain stealthy and undetected over extended periods. These characteristics make detection and prevention particularly challenging, as malicious behavior is often obscured by legitimate system activity.In this talk, Dr. Rhee will present a series of research projects focused on system-wide monitoring, behavioral analysis, and advanced threat detection. His work explores data-driven methods that trace causal chains of complex attack behaviors, as well as approaches that leverage domain knowledge of operating systems to identify anomalous states indicative of cyber threats. The talk will conclude with an overview of new cybersecurity programs being developed at the University of Central Oklahoma, which aim to provide students with practical, hands-on experience and foundational skills in cybersecurity.Biography Dr. Junghwan (John) Rhee is an Associate Professor in the Department of Computer Science at the University of Central Oklahoma. He earned his Ph.D. in Computer Science from Purdue University. Before joining UCO, he served for nine years as a senior researcher and security team leader at NEC Laboratories America in Princeton, New Jersey.Dr. Rhee’s research lies at the intersection of system security and reliability, with a focus on system diagnosis, end-host security, system provenance, and cyber-physical systems. His work is grounded in data-driven methodologies, program analysis, and operating systems techniques, aiming to enhance the detection and understanding of complex cyber threats. He has published 63 peer-reviewed conference papers, 5 journal articles, and holds 29 U.S. patents.
12 1332ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYCONFERENCE IN DETAIL Wednesday, July 23, 20258:00 a.m. – 12:00 p.m. Registration: Rose Theatre Foyer9:00 a.m. – 9:40 a.m. Opening Ceremony: Rose Theatre Mainstage9:00 a.m. - 9:15 a.m. Welcoming Remarks:: Dr. Sheila Embleton, President and Vice-Chancellor, Algoma University, Canada9:15 a.m. – 9:25 a.m. Opening Remarks: Dr. Simon Xu, General Chair and Acting Dean, Faculty of Computer Science and Technology, Algoma University, Canada9:25 a.m. - 9:30 a.m. Remarks: Dr. Miguel Garcia-Ruiz, Conference Co-Chair, Algoma University, Canada9:30 a.m. - 9:35 a.m. Introduction to the Conference Program: Dr. A B M Bodrul Alam, Program Co-Chair, Algoma University, Canada9:40 a.m. – 10:40 a.m. Keynote 1, Rose Theatre Mainstage: Session Chair, Dr. Wenyin Feng, Trent University, Canada Keynote Speech 1: Dr. Miguel Vargas Martin, Ontario Technology University, Canada10:40 a.m. – 11:00 a.m. Coffee/Tea Break & Networking: Rose Theatre Foyer11:00 a.m. – 12:00 p.m. Keynote 2, Rose Theatre Mainstage Session Chair, Dr. Ajmery, Algoma University, CanadaKeynote Speech 2: Dr. John (Junghwan) Rhee, University of Central Oklahoma, USA 12:00 p.m. – 1:20 p.m. Lunch Break on your own1:20 p.m. - 5:00 p.m. Registration, Outside Room 301 (56 Queen Street East)1:20 p.m. – 3:00 p.m. Parallel Sessions, Room 301/305 (56 Queen Street East)Session I: AI Applications Room 301 Chair: Dr. Jongyeop Kim, Georgia Southern University, USAEmpirical Study of BERt: Based Models for Sentiment Analysis Bo Huang, Fei SongUsing Synthetic Aperture Radar and Optical Satellite Data for Wildfire Detection: A Case Study Lilatul Ferdouse, Ank Zaman, Aryan Patel, Pranshu Patel, Aryan VaghelaCrime Pattern Detection in Toronto: A Focus on Theft from Motor Vehicles Tahmina Akhter, Lilatul FerdouseEvaluating One-Shot and Multi-Shot Prompting Strategies in a Transparent Educational Chatbot Abdulrazaq Mamud, Jongyeop KimModeling and Forecasting Train Delays Using Spatiotemporal Lord CoffieSession II: Deep Learning Room 305 Chair: Dr. Randy Lin, Algoma University, CanadaA Content Based E-Commerce Dataset Recommendation System Using BERT and Named Entity Recognition Ayomide E. Oduba, C.I. Ezeife, Mahreen NasirA Hybrid Approach for Real-Time Sports Analysis Madhulika Akumalla, Keerthana Bantu, Sayan Banerjee, Shoieb Ur Rahman ThayalReinforcement Learning-Driven Energy Optimization of Industrial Induction Motors under Dynamic Load Conditions Maryam Sepehrinour, Alireza Siadatan, Seham Al Abdul Wahid, Farah Mohammadi, Arghavan Asad Comparative Analysis of Machine Learning, Deep Learning, and Ensemble Models for Stroke Prediction Using Electronic Health Records Lord Coffie, Mary Dufie Afrane, Kwabena Opoku Frempong-Kore, Jongyeop Kim
12 1332ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYCONFERENCE IN DETAIL Wednesday, July 23, 20258:00 a.m. – 12:00 p.m. Registration: Rose Theatre Foyer9:00 a.m. – 9:40 a.m. Opening Ceremony: Rose Theatre Mainstage9:00 a.m. - 9:15 a.m. Welcoming Remarks:: Dr. Sheila Embleton, President and Vice-Chancellor, Algoma University, Canada9:15 a.m. – 9:25 a.m. Opening Remarks: Dr. Simon Xu, General Chair and Acting Dean, Faculty of Computer Science and Technology, Algoma University, Canada9:25 a.m. - 9:30 a.m. Remarks: Dr. Miguel Garcia-Ruiz, Conference Co-Chair, Algoma University, Canada9:30 a.m. - 9:35 a.m. Introduction to the Conference Program: Dr. A B M Bodrul Alam, Program Co-Chair, Algoma University, Canada9:40 a.m. – 10:40 a.m. Keynote 1, Rose Theatre Mainstage: Session Chair, Dr. Wenyin Feng, Trent University, Canada Keynote Speech 1: Dr. Miguel Vargas Martin, Ontario Technology University, Canada10:40 a.m. – 11:00 a.m. Coffee/Tea Break & Networking: Rose Theatre Foyer11:00 a.m. – 12:00 p.m. Keynote 2, Rose Theatre Mainstage Session Chair, Dr. Ajmery, Algoma University, CanadaKeynote Speech 2: Dr. John (Junghwan) Rhee, University of Central Oklahoma, USA 12:00 p.m. – 1:20 p.m. Lunch Break on your own1:20 p.m. - 5:00 p.m. Registration, Outside Room 301 (56 Queen Street East)1:20 p.m. – 3:00 p.m. Parallel Sessions, Room 301/305 (56 Queen Street East)Session I: AI Applications Room 301 Chair: Dr. Jongyeop Kim, Georgia Southern University, USAEmpirical Study of BERt: Based Models for Sentiment Analysis Bo Huang, Fei SongUsing Synthetic Aperture Radar and Optical Satellite Data for Wildfire Detection: A Case Study Lilatul Ferdouse, Ank Zaman, Aryan Patel, Pranshu Patel, Aryan VaghelaCrime Pattern Detection in Toronto: A Focus on Theft from Motor Vehicles Tahmina Akhter, Lilatul FerdouseEvaluating One-Shot and Multi-Shot Prompting Strategies in a Transparent Educational Chatbot Abdulrazaq Mamud, Jongyeop KimModeling and Forecasting Train Delays Using Spatiotemporal Lord CoffieSession II: Deep Learning Room 305 Chair: Dr. Randy Lin, Algoma University, CanadaA Content Based E-Commerce Dataset Recommendation System Using BERT and Named Entity Recognition Ayomide E. Oduba, C.I. Ezeife, Mahreen NasirA Hybrid Approach for Real-Time Sports Analysis Madhulika Akumalla, Keerthana Bantu, Sayan Banerjee, Shoieb Ur Rahman ThayalReinforcement Learning-Driven Energy Optimization of Industrial Induction Motors under Dynamic Load Conditions Maryam Sepehrinour, Alireza Siadatan, Seham Al Abdul Wahid, Farah Mohammadi, Arghavan Asad Comparative Analysis of Machine Learning, Deep Learning, and Ensemble Models for Stroke Prediction Using Electronic Health Records Lord Coffie, Mary Dufie Afrane, Kwabena Opoku Frempong-Kore, Jongyeop Kim
14 1532ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYModeling and Forecasting Train Delays Using Spatiotemporal Graph Neural Networks Lord Coffie3:00 p.m. –3:20pm Networking Break (coffee/tea) Outside of Rooms 3013:20 p.m. – 5:00 p.m. Parallel Sessions, Rooms 301/305 (56 Queen Street East)Session III: LLM-Based Applications Room 301 Chair: Dr. Lilatul Ferdouse, Wilfrid Laurier University, CanadaBenchmarking Large Language Models: A Comparative Study of DeepSeek and ChatGPT Across Diverse Domains Vishwa Bhatt, Zhixin Yu, Divya Thakar, Jerry Cervantes-Fernandez, Mira Kim, Daniel Jin, Khalil Dajani, Jennifer JinLLM-Powered SQL Querying: Transforming Natural Language into Database Insights Aanya Goel, Wenjun Lin, Rashid Hussain KhokharMaking the Case for LLM-Generated Automated Program Repair Benchmarks Yasser EbrahimSession IV: AI-Driven Requirements Room 305 Chair: Dr. Syed Muhammad Danish, Algoma University, CanadaChatbots as Turing Machines Sathaporn HuDesigning an AI-Driven Mobile Charging Station Network: Requirements and Opportunities Sabiya Masthanali, Syed Muhammad Danish, Ajmery Sultana, Mahreen Nasir, Md Nashid Anjum, A B M Bodrul Alam, Faria KhandakerEntropy Regularization and Trade-off Strategies for Policy Gradient Agent Recommendation in Dhaka Stock Exchange Market Mohammad Rashedur Rahman6:00 p.m. – 9:00 p.m. Welcome Reception: The Alderlea (40 Elizabeth Street S)Thursday, July 24, 20258:00 a.m. – 5:00 p.m.: Registration: Outside of Room 301, 56 Queen Street8:20 a.m. – 10:00 a.m. Parallel Sessions, Room 301/305 (56 Queen Street East)Session I: Quantum Computing Applications Room 301 Chair: Dr. Jennifer Jin, California State University, USAPeer-to-Peer Energy Trading in a Local Energy Market Using Quantum Reinforcement Learning Md Moniruzzaman, Ajmery Sultana, Georges KaddoumQuantum-Enhanced Data Analytics For Crime Prediction Abraham Ighalo, Ajmery SultanaPost-Quantum Secure Protocol for Confidential and Auditable Data Transmission Ankush Choudhary, Ajmery Sultana, Thirumurugan Shanmugam,Rajakumar Arul, Arunkumar SivaramanSession II: Security & Privacy Room 305 Chair: Md Nashid Anjum, Algoma University, CanadaPrivacy Preserving A-Priori and ECLAT with Local Differential Privacy Christine Wong, Abdulrauf Gidado, Kayode AdewoleAI-Enabled Phishing Links Detection Using Machine Learning Models Isha Lad, Rutisha Patel,Ekta Patel, Rupinder Kaur, Arghavan Asad, Mahreen Nasir, Farah MohammadiEfficiency in Chat Application Encryption: A Comparative Review with Proposed Enhancements Jikesh Thapa, Rashid Khokhar, Md Nashid AnjumAn NFT-based Blockchain Solution for Employee Skill Enhancement and Development Fairouz Fakhfakh, Saoussen Cheikhrouhou, Slim Kallel, Oumayma JarrayInternet of Things Privacy Preserving Selected Encryption Framework Ala’ Khalifeh and Dhiah El Diehn I. Abou-Tair
14 1532ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYModeling and Forecasting Train Delays Using Spatiotemporal Graph Neural Networks Lord Coffie3:00 p.m. –3:20pm Networking Break (coffee/tea) Outside of Rooms 3013:20 p.m. – 5:00 p.m. Parallel Sessions, Rooms 301/305 (56 Queen Street East)Session III: LLM-Based Applications Room 301 Chair: Dr. Lilatul Ferdouse, Wilfrid Laurier University, CanadaBenchmarking Large Language Models: A Comparative Study of DeepSeek and ChatGPT Across Diverse Domains Vishwa Bhatt, Zhixin Yu, Divya Thakar, Jerry Cervantes-Fernandez, Mira Kim, Daniel Jin, Khalil Dajani, Jennifer JinLLM-Powered SQL Querying: Transforming Natural Language into Database Insights Aanya Goel, Wenjun Lin, Rashid Hussain KhokharMaking the Case for LLM-Generated Automated Program Repair Benchmarks Yasser EbrahimSession IV: AI-Driven Requirements Room 305 Chair: Dr. Syed Muhammad Danish, Algoma University, CanadaChatbots as Turing Machines Sathaporn HuDesigning an AI-Driven Mobile Charging Station Network: Requirements and Opportunities Sabiya Masthanali, Syed Muhammad Danish, Ajmery Sultana, Mahreen Nasir, Md Nashid Anjum, A B M Bodrul Alam, Faria KhandakerEntropy Regularization and Trade-off Strategies for Policy Gradient Agent Recommendation in Dhaka Stock Exchange Market Mohammad Rashedur Rahman6:00 p.m. – 9:00 p.m. Welcome Reception: The Alderlea (40 Elizabeth Street S)Thursday, July 24, 20258:00 a.m. – 5:00 p.m.: Registration: Outside of Room 301, 56 Queen Street8:20 a.m. – 10:00 a.m. Parallel Sessions, Room 301/305 (56 Queen Street East)Session I: Quantum Computing Applications Room 301 Chair: Dr. Jennifer Jin, California State University, USAPeer-to-Peer Energy Trading in a Local Energy Market Using Quantum Reinforcement Learning Md Moniruzzaman, Ajmery Sultana, Georges KaddoumQuantum-Enhanced Data Analytics For Crime Prediction Abraham Ighalo, Ajmery SultanaPost-Quantum Secure Protocol for Confidential and Auditable Data Transmission Ankush Choudhary, Ajmery Sultana, Thirumurugan Shanmugam,Rajakumar Arul, Arunkumar SivaramanSession II: Security & Privacy Room 305 Chair: Md Nashid Anjum, Algoma University, CanadaPrivacy Preserving A-Priori and ECLAT with Local Differential Privacy Christine Wong, Abdulrauf Gidado, Kayode AdewoleAI-Enabled Phishing Links Detection Using Machine Learning Models Isha Lad, Rutisha Patel,Ekta Patel, Rupinder Kaur, Arghavan Asad, Mahreen Nasir, Farah MohammadiEfficiency in Chat Application Encryption: A Comparative Review with Proposed Enhancements Jikesh Thapa, Rashid Khokhar, Md Nashid AnjumAn NFT-based Blockchain Solution for Employee Skill Enhancement and Development Fairouz Fakhfakh, Saoussen Cheikhrouhou, Slim Kallel, Oumayma JarrayInternet of Things Privacy Preserving Selected Encryption Framework Ala’ Khalifeh and Dhiah El Diehn I. Abou-Tair
16 1732ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYPrivacy-Preserving Machine Learning for Mental Health Prediction Using Homomorphic Encryption Shahroz Abbas, Ajmery Sultana, Mahreen Nasir, Miguel Garcia-Ruiz, Wenjun Lin10:00 a.m. – 10:20 a.m. Coffee/Tea Break with light snacks – Outside room 30110:20 a.m. – 12:00 p.m. Parallel Sessions, Rooms 301/305 (56 Queen Street East)Session III: Cloud & Edge Computing Room 301 Chair: Dr. Faria Khandaker, Algoma University, CanadaOptimizing Cloud Pricing Strategies Using AWS Simulations and Dockerization Preyas Patel, Mohaisin Shahadu, Matthew Del, A B M Bodrul AlamUninterrupted Internet Access: A Peer-to-Peer Alternative for Outage-Proof and Censorship-Resistant Communication Arita Paneri, Md Nashid Anjum, Wafi Danesh, Syed Muhammad DanishPEmpowering IoT with Large Language Models: A Survey of Applications, Challenges, and Future Directions Ali Shahraeeni, Abbas Koochari, Arghavan AsadA Comparative Study of Task Offloading Approaches in the Edge-Cloud Paradigm Gurman Kaur, Faria KhandakerResource Balancing and Energy Efficient Client Selection in Federated Learning for Mobile Edge Computing Ubaid Abbasi, Usama Mir, Zeeshan Ali KhanCogniroot Edge: A Quest for A Fair AI Grader Md Nashid Anjum, Shamim Ahmed, Mahmudul Hasan, Wenjun LinSession-IV: Ethics in Computing Systems Room 305 Chair : Dr. Xiaofan Wang, Lakehead University, CanadaEthical Challenges in AI-based Clinical Decision Support System Thi Thuy Tien Tran, Xiaofan WangTowards Safer Online Platforms: Explainable and Adversarial-Resistant Toxic Comment Detection Sujani Chandrashekar, Yang LiuTowards Designing User Interfaces for Optimized Human-AI Communication and Supervisory Control in Software Engineering Somang Nam, Christopher Chun Ki Chan12:00 p.m. - 1:20 p.m. Lunch Break on your own1:20 p.m. - 3:00 p.m. Special Sessions & Workshops:Special Session I: Generative AI in IoT Enhancing Intelligence and Scalability in Connected Systems Room 301 Chair: Dr. Yazan Otoum, Algoma University, CanadaPhishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models Jikesh Thapa, Gurrehmat Chahal, Serban Voinea Gabreanu, Yazan OtoumEmpowering IoT with Large Language Models: A Survey of Applications, Challenges, and Future Directions Ali Shahraeeni , Seham Al Abdul Wahid , Abbas Koochari , Farah Mohammadi , Arghavan Asad A Heterogeneous Scheduling Approach for Efficient Memory Management in IoT Systems Rupinder Kaur , Arghavan Asad , Farah Mohammadi Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks Mohammad F. Al-Hammouri, Yazan Otoum , Rasha Atwah, Amiya NayakSpecial Session II: Room 305 Chair: Dr. Mahreen Nasir, Algoma University, Canada DeepNRSfPP: Learning-Based Real-Time Non-Rigid Structure-from-Perspective Projection Maryam Sepehrinour
16 1732ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYPrivacy-Preserving Machine Learning for Mental Health Prediction Using Homomorphic Encryption Shahroz Abbas, Ajmery Sultana, Mahreen Nasir, Miguel Garcia-Ruiz, Wenjun Lin10:00 a.m. – 10:20 a.m. Coffee/Tea Break with light snacks – Outside room 30110:20 a.m. – 12:00 p.m. Parallel Sessions, Rooms 301/305 (56 Queen Street East)Session III: Cloud & Edge Computing Room 301 Chair: Dr. Faria Khandaker, Algoma University, CanadaOptimizing Cloud Pricing Strategies Using AWS Simulations and Dockerization Preyas Patel, Mohaisin Shahadu, Matthew Del, A B M Bodrul AlamUninterrupted Internet Access: A Peer-to-Peer Alternative for Outage-Proof and Censorship-Resistant Communication Arita Paneri, Md Nashid Anjum, Wafi Danesh, Syed Muhammad DanishPEmpowering IoT with Large Language Models: A Survey of Applications, Challenges, and Future Directions Ali Shahraeeni, Abbas Koochari, Arghavan AsadA Comparative Study of Task Offloading Approaches in the Edge-Cloud Paradigm Gurman Kaur, Faria KhandakerResource Balancing and Energy Efficient Client Selection in Federated Learning for Mobile Edge Computing Ubaid Abbasi, Usama Mir, Zeeshan Ali KhanCogniroot Edge: A Quest for A Fair AI Grader Md Nashid Anjum, Shamim Ahmed, Mahmudul Hasan, Wenjun LinSession-IV: Ethics in Computing Systems Room 305 Chair : Dr. Xiaofan Wang, Lakehead University, CanadaEthical Challenges in AI-based Clinical Decision Support System Thi Thuy Tien Tran, Xiaofan WangTowards Safer Online Platforms: Explainable and Adversarial-Resistant Toxic Comment Detection Sujani Chandrashekar, Yang LiuTowards Designing User Interfaces for Optimized Human-AI Communication and Supervisory Control in Software Engineering Somang Nam, Christopher Chun Ki Chan12:00 p.m. - 1:20 p.m. Lunch Break on your own1:20 p.m. - 3:00 p.m. Special Sessions & Workshops:Special Session I: Generative AI in IoT Enhancing Intelligence and Scalability in Connected Systems Room 301 Chair: Dr. Yazan Otoum, Algoma University, CanadaPhishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models Jikesh Thapa, Gurrehmat Chahal, Serban Voinea Gabreanu, Yazan OtoumEmpowering IoT with Large Language Models: A Survey of Applications, Challenges, and Future Directions Ali Shahraeeni , Seham Al Abdul Wahid , Abbas Koochari , Farah Mohammadi , Arghavan Asad A Heterogeneous Scheduling Approach for Efficient Memory Management in IoT Systems Rupinder Kaur , Arghavan Asad , Farah Mohammadi Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks Mohammad F. Al-Hammouri, Yazan Otoum , Rasha Atwah, Amiya NayakSpecial Session II: Room 305 Chair: Dr. Mahreen Nasir, Algoma University, Canada DeepNRSfPP: Learning-Based Real-Time Non-Rigid Structure-from-Perspective Projection Maryam Sepehrinour
18 1932ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYIntegrating Matrix Factorization with Fair Re-Ranking for Improved Personalization in Recommender Systems Amir Javad, Mostafavi Nejad, Rupinder Kaur, Abbas Koochari, Farah Mohammadi, Arghavan AsadSchizophrenia Detection using Non othogonal Adaptive Constrained Independent Vector Analysis with Multivaraite Distrbution Ali Algumaeia, Muhammad Azamb, Nizar BouguilaaPersonalizing E-Commerce by Optimizing LLMs for Tailored Product Recommendations James Gu, Mahreen Nasir,Syed Muhammad Danish3:00 p.m. - 3:20 p.m. Coffee/Tea Break with light snacks - Outside room 3013:20 p.m. - 5:00 p.m. Parallel Sessions, Room 301/305 (56 Queen Street East)Special Session IV: Emerging Frontiers in Security: Innovations Across Diverse Technological Domains Room 301 Chair: Dr. Ajmery Sultana, Algoma University, CanadaDeep Learning-based Binary Analysis for Vulnerability Detection in x86-64 Machine Code Mitchell PetingolaMultivariate Bounded Support Kotz Mixture Model: Addressing Financial Fraud and Network Security Challenges Tsega Weldu ArayaDesign and Implementation of a Controlled Ransomware Framework for Educational Purposes Using Flutter Cryptographic APIs on Desktop PCs and Android Devices James GuThe Passwordless Authentication with Passkey Technology from an Implementation Perspective Lien TranAutonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation Jenifer PulrajAdvancing Zero Trust Security in Industrial IoT (IIoT): A Machine Learning Perspective Syed Muhammad DanishSession V: Room 305 Chair: Dr. Wenying Feng, Trent University, CanadaReducing Financial Debt and Illiteracy in Canadian Populations Using Machine Learning Prediction Models Mariam Merza, Uchechukwu Obinwanne, Wenying FengIntraday Stock Price Prediction using Machine Learning: A Case Study on YFinance Stock Data Dikshith Reddy MacHerla, Uchechukwu Obinwanne, Wenying FengChess Game Outcome Prediction Using Machine Learning Noah Giacchetta, Uchechukwu Obinwanne, Wenying FengStinger: An Asynchronous Multiplayer Serious Game for Dengue Awareness Ashedur RahmanFramework to Support Over-The-Air Updates for Autonomous Driving Software David Shen, Wuwei Shen, Ioannis Nearchou6:30 p.m. - 9:30 p.m. Banquet Dinner: The Alderlea (40 Elizabeth Street S)
18 1932ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYIntegrating Matrix Factorization with Fair Re-Ranking for Improved Personalization in Recommender Systems Amir Javad, Mostafavi Nejad, Rupinder Kaur, Abbas Koochari, Farah Mohammadi, Arghavan AsadSchizophrenia Detection using Non othogonal Adaptive Constrained Independent Vector Analysis with Multivaraite Distrbution Ali Algumaeia, Muhammad Azamb, Nizar BouguilaaPersonalizing E-Commerce by Optimizing LLMs for Tailored Product Recommendations James Gu, Mahreen Nasir,Syed Muhammad Danish3:00 p.m. - 3:20 p.m. Coffee/Tea Break with light snacks - Outside room 3013:20 p.m. - 5:00 p.m. Parallel Sessions, Room 301/305 (56 Queen Street East)Special Session IV: Emerging Frontiers in Security: Innovations Across Diverse Technological Domains Room 301 Chair: Dr. Ajmery Sultana, Algoma University, CanadaDeep Learning-based Binary Analysis for Vulnerability Detection in x86-64 Machine Code Mitchell PetingolaMultivariate Bounded Support Kotz Mixture Model: Addressing Financial Fraud and Network Security Challenges Tsega Weldu ArayaDesign and Implementation of a Controlled Ransomware Framework for Educational Purposes Using Flutter Cryptographic APIs on Desktop PCs and Android Devices James GuThe Passwordless Authentication with Passkey Technology from an Implementation Perspective Lien TranAutonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation Jenifer PulrajAdvancing Zero Trust Security in Industrial IoT (IIoT): A Machine Learning Perspective Syed Muhammad DanishSession V: Room 305 Chair: Dr. Wenying Feng, Trent University, CanadaReducing Financial Debt and Illiteracy in Canadian Populations Using Machine Learning Prediction Models Mariam Merza, Uchechukwu Obinwanne, Wenying FengIntraday Stock Price Prediction using Machine Learning: A Case Study on YFinance Stock Data Dikshith Reddy MacHerla, Uchechukwu Obinwanne, Wenying FengChess Game Outcome Prediction Using Machine Learning Noah Giacchetta, Uchechukwu Obinwanne, Wenying FengStinger: An Asynchronous Multiplayer Serious Game for Dengue Awareness Ashedur RahmanFramework to Support Over-The-Air Updates for Autonomous Driving Software David Shen, Wuwei Shen, Ioannis Nearchou6:30 p.m. - 9:30 p.m. Banquet Dinner: The Alderlea (40 Elizabeth Street S)
20 2132ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYFriday, July 25, 20259:00 a.m. - 10:20 a.m. Parallel Sessions, Room 301/305 (56 Queen Street East)Workshops: The 6th International Workshop on Smart Media Theory and Application (SMTA 2025) Room 301 Chair: Dr. Xin Zhang, Communication University of China, ChinaDAHG-A Heterogeneous Graph-Based Dual-Attention Mechanism for Emotion Recognition in Conversation Yao Fu, Junpeng Gong, Pengzhou Zhang, Zhanxin Yang, Juan CaoFigure Mural Restoration Based on Dual-branch Diffusion Model Hui Ren, Xian Zhu, Chengya Zhang, Zhen LiOptimization of Neural Radiance Fields Rendering Quality via Hybrid Attention and Weighted Feature Distillation Xinyi QiClick-Through Rate Prediction via Graph-Augmented Behavioral Path Modeling Qian Liu, Jing Zhou, Xin ZhangDEG-Sum●Discourse-aware Event Graph Summarization for News Texts Qiyi Wei, Xin Zhang, Wenqian ShangSpecial Sessions: Virtual Presentations/ papers with ‘will Register Status’ Room 305 Dr. Miguel Garcia-Ruiz, Algoma University, CanadaEvaluating One-Shot and Multi-Shot Prompting Strategies in a Transparent Educational Chatbot Abdulrazaq Mamud, Jongyeop KimUnderstanding Depression and Suicide Through Words: Analyzing Reddit Posts with Topic Modelling Shayaree Subba, Muskan Girhotra, Md Zamilur RahmanPost-Quantum Secure Protocol for Confidential and Auditable Data Transmission Ankush Choudhary, Ajmery Sultana, Thirumurugan Shanmugam, Rajakumar Arul, Arunkumar SivaramanEntropy Regularization and Trade-off Strategies for Policy Gradient Agent Recommendation in Dhaka Stock Exchange Market Mohammad Rashedur RahmanCAAC: Integrating Contrastive Learning and Autoencoders for Enhanced Unsupervised Representation Learning Muhammad Hassan10:20 a.m. - 11:00 a.m. Coffee/Tea Break with light snacks - Outside room 30111:00 a.m. - 12:00 p.m. Conference Chairs Discussion & Closing Remarks Room 305
20 2132ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYFriday, July 25, 20259:00 a.m. - 10:20 a.m. Parallel Sessions, Room 301/305 (56 Queen Street East)Workshops: The 6th International Workshop on Smart Media Theory and Application (SMTA 2025) Room 301 Chair: Dr. Xin Zhang, Communication University of China, ChinaDAHG-A Heterogeneous Graph-Based Dual-Attention Mechanism for Emotion Recognition in Conversation Yao Fu, Junpeng Gong, Pengzhou Zhang, Zhanxin Yang, Juan CaoFigure Mural Restoration Based on Dual-branch Diffusion Model Hui Ren, Xian Zhu, Chengya Zhang, Zhen LiOptimization of Neural Radiance Fields Rendering Quality via Hybrid Attention and Weighted Feature Distillation Xinyi QiClick-Through Rate Prediction via Graph-Augmented Behavioral Path Modeling Qian Liu, Jing Zhou, Xin ZhangDEG-Sum●Discourse-aware Event Graph Summarization for News Texts Qiyi Wei, Xin Zhang, Wenqian ShangSpecial Sessions: Virtual Presentations/ papers with ‘will Register Status’ Room 305 Dr. Miguel Garcia-Ruiz, Algoma University, CanadaEvaluating One-Shot and Multi-Shot Prompting Strategies in a Transparent Educational Chatbot Abdulrazaq Mamud, Jongyeop KimUnderstanding Depression and Suicide Through Words: Analyzing Reddit Posts with Topic Modelling Shayaree Subba, Muskan Girhotra, Md Zamilur RahmanPost-Quantum Secure Protocol for Confidential and Auditable Data Transmission Ankush Choudhary, Ajmery Sultana, Thirumurugan Shanmugam, Rajakumar Arul, Arunkumar SivaramanEntropy Regularization and Trade-off Strategies for Policy Gradient Agent Recommendation in Dhaka Stock Exchange Market Mohammad Rashedur RahmanCAAC: Integrating Contrastive Learning and Autoencoders for Enhanced Unsupervised Representation Learning Muhammad Hassan10:20 a.m. - 11:00 a.m. Coffee/Tea Break with light snacks - Outside room 30111:00 a.m. - 12:00 p.m. Conference Chairs Discussion & Closing Remarks Room 305
22 2332ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYMAIN ST SDENISON AVEMARKET STCHURCH ST WGEORGE STMILL ST NQUEEN ST WNELSON STDIXIE CUPSITEFLETCHER’SCREEKORANGEVILLELINEMILL STCROSSINGOLD TRAIN STATIONMETROLINX SITE3rd TRACKEXPANSIONHERTAGE THEATREYMCAGARDEN SQUAREALGOMAUNIVERSITYLIBRARYGAGE PARKALDERLEACITYHALLFUTURE STREETEXTENSIONMARKET STREDEVELOPMENTSECONDARY SCHOOLFUTURE TRANSIT HUBWEST TOWERHERITAGELANDMARKHERITAGELANDMARKHERITAGELANDMARKLANEWAYSCFISHOE FACTORYBRAMPTON GOALEXNADER STKEN WHILLANS DRUNION STCHAPEL STPARK ST1ABCDEFGHJK23456 7 89101112RAILROAD STAlgoma University campus, The Alderlea, Garden Square (Rose Theatre)MTSA BoundarySpecial Policy Area 3Future Rapid TransitKey Sites / View CorridorsRed Itinerary - Approx 3.0 km (40min)Blue Itinerary - Approx 3.5 km (45min)ROSE THEATREMAPS
22 2332ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYMAIN ST SDENISON AVEMARKET STCHURCH ST WGEORGE STMILL ST NQUEEN ST WNELSON STDIXIE CUPSITEFLETCHER’SCREEKORANGEVILLELINEMILL STCROSSINGOLD TRAIN STATIONMETROLINX SITE3rd TRACKEXPANSIONHERTAGE THEATREYMCAGARDEN SQUAREALGOMAUNIVERSITYLIBRARYGAGE PARKALDERLEACITYHALLFUTURE STREETEXTENSIONMARKET STREDEVELOPMENTSECONDARY SCHOOLFUTURE TRANSIT HUBWEST TOWERHERITAGELANDMARKHERITAGELANDMARKHERITAGELANDMARKLANEWAYSCFISHOE FACTORYBRAMPTON GOALEXNADER STKEN WHILLANS DRUNION STCHAPEL STPARK ST1ABCDEFGHJK23456 7 89101112RAILROAD STAlgoma University campus, The Alderlea, Garden Square (Rose Theatre)MTSA BoundarySpecial Policy Area 3Future Rapid TransitKey Sites / View CorridorsRed Itinerary - Approx 3.0 km (40min)Blue Itinerary - Approx 3.5 km (45min)ROSE THEATREMAPS
24 2532ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITY56 Queen Street ROSE THEATRERose Theatre - Garden Square
24 2532ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITY56 Queen Street ROSE THEATRERose Theatre - Garden Square
26 2732ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYHonourary Chair Dr. Roger Lee, Central Michigan University, USAGeneral Chair Dr. Simon Xu, Algoma University, CanadaConference Chairs Dr. Miguel Garcia-Ruiz, Algoma University, Canada Dr. Wenyin Feng, Trent University, CanadaConference Industry Track Chair Mr. Vinay Paramanand, Algoma University, Canada Dr. Mahreen Nasir, Algoma University, CanadaProgram Chairs Dr. A B M Bodrul Alam, Algoma University, Canada Dr. Randy Lin, Algoma University, Canada Dr. Ajmery Sultana, Algoma University, CanadaRegistration Chairs Dr. Randy Lin, Algoma University, Canada Dr. Ajmery Sultana, Algoma University, CanadaPublicity Chairs Dr. Faria Khandaker, Algoma University, Canada Dr. Wenqian Shang, Communication University of China, China Dr. Kailong Zhang, Northwestern Polytechnical University, China Dr. Morshed Chowdhury, Deakin University, Australia Dr. Yukihiro Shintani, Chiba Institute of Technology, Japan Dr. Mahreen Nasir, Algoma University, CanadaLocal Arrangements Chair Dr. A B M Bodrul Alam, Algoma University, Canada Dr. Faria Khandaker, Algoma University, CanadaTHANK YOU!CONFERENCE ORGANIZING COMMITTEE MEMBERS:LEARN MORE ABOUT OUR COMPUTER SCIENCE PROGRAMSLAND ACKNOWLEDGEMENTAlgoma University acknowledges that its three campuses are located on the traditional, treaty, and inherent lands of Indigenous peoples. Our Sault Ste. Marie campus sits on the territory of the Anishinabek Nation, specifically the Garden River and Batchewana First Nations, within the Robinson-Huron Treaty. The Timmins campus is on Treaty 9 territory, home to the Mushkegowuk Cree and Anishinabek Peoples. The Brampton campus lies within the territory of the Mississaugas of the Credit, the Haudenosaunee, and the Huron-Wendat, under the Dish With One Spoon Wampum, land that is home to the Métis. We are grateful to live, learn, and work on these lands in the spirit of respect, reciprocity, and reconciliation.It is the Special Mission of the University to• Be a teaching-oriented university that provides programs in liberal arts and sciences and professional programs, primarily at the undergraduate level, with a particular focus on the needs of Northern Ontario; and●• Cultivate cross-cultural learning between Indigenous communities and other communities, in keeping with the history of Algoma University College and its geo graphic site.SPECIAL MISSION
26 2732ND ANNUAL IEEE/ACIS ALGOMA UNIVERSITYHonourary Chair Dr. Roger Lee, Central Michigan University, USAGeneral Chair Dr. Simon Xu, Algoma University, CanadaConference Chairs Dr. Miguel Garcia-Ruiz, Algoma University, Canada Dr. Wenyin Feng, Trent University, CanadaConference Industry Track Chair Mr. Vinay Paramanand, Algoma University, Canada Dr. Mahreen Nasir, Algoma University, CanadaProgram Chairs Dr. A B M Bodrul Alam, Algoma University, Canada Dr. Randy Lin, Algoma University, Canada Dr. Ajmery Sultana, Algoma University, CanadaRegistration Chairs Dr. Randy Lin, Algoma University, Canada Dr. Ajmery Sultana, Algoma University, CanadaPublicity Chairs Dr. Faria Khandaker, Algoma University, Canada Dr. Wenqian Shang, Communication University of China, China Dr. Kailong Zhang, Northwestern Polytechnical University, China Dr. Morshed Chowdhury, Deakin University, Australia Dr. Yukihiro Shintani, Chiba Institute of Technology, Japan Dr. Mahreen Nasir, Algoma University, CanadaLocal Arrangements Chair Dr. A B M Bodrul Alam, Algoma University, Canada Dr. Faria Khandaker, Algoma University, CanadaTHANK YOU!CONFERENCE ORGANIZING COMMITTEE MEMBERS:LEARN MORE ABOUT OUR COMPUTER SCIENCE PROGRAMSLAND ACKNOWLEDGEMENTAlgoma University acknowledges that its three campuses are located on the traditional, treaty, and inherent lands of Indigenous peoples. Our Sault Ste. Marie campus sits on the territory of the Anishinabek Nation, specifically the Garden River and Batchewana First Nations, within the Robinson-Huron Treaty. The Timmins campus is on Treaty 9 territory, home to the Mushkegowuk Cree and Anishinabek Peoples. The Brampton campus lies within the territory of the Mississaugas of the Credit, the Haudenosaunee, and the Huron-Wendat, under the Dish With One Spoon Wampum, land that is home to the Métis. We are grateful to live, learn, and work on these lands in the spirit of respect, reciprocity, and reconciliation.It is the Special Mission of the University to• Be a teaching-oriented university that provides programs in liberal arts and sciences and professional programs, primarily at the undergraduate level, with a particular focus on the needs of Northern Ontario; and●• Cultivate cross-cultural learning between Indigenous communities and other communities, in keeping with the history of Algoma University College and its geo graphic site.SPECIAL MISSION
28 IEEE/ACIS32nd AnnualInternational Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2025)PROGRAMConference Sponsors