Program

WIDECOM 2024 Program

Wednesday - October 16, 2024

9:00-9:15 am: Welcome address
Dr. Wei Lu, Keene State College, USA

9:15 - 10:30 am: Keynote I (Chaired by Dr. Wei Lu, Keene State College, USA
Dr. Olutayo Oyeyemi Oyerinde 
School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
Title: Journey From Reconfigurable Intelligent Surface (RIS) to Beyond Diagonal (BD)- RIS for Beyond 5G Wireless Communication: Challenges and Opportunities

10:30 - 10:45 am: TEA/COFFEE BREAK

10:45 – 1:00 pm: Session I (3 Papers)
Chaired by: Dr. Qiaoyan Yu, University of New Hampshire, USA

10:45 – 11:30 pm: Paper I 
Implicit Test Case Identification/Selection for Test Case Prioritisation using Natural Language Processing
Siqabukile Ndlovu and Ernest Mnkandla

11:30 – 12:15 pm: Paper II 
Feasibility of Adversarial Attacks Against Machine Learning Models
Kimia Tahayori, Sherif Saad, Mohammad Mamun and Saeed Samet

12:15 – 1:00 pm: Paper III
Enhanced Public Safety: Real-Time Crime Detection with CNN-LSTM in Video Surveillance
Chandana Thirunagari and Lilatul Ferdouse

01:00 - 2:00 pm LUNCH BREAK

2:00 - 3:15pm Keynote II (Chaired by Dr. Qiaoyan Yu, University of New Hampshire, USA)
Dr. Sherif Saad 
School of Computer Science, University of Windsor, Canada
Title: Unleashing the Power of AI in IoT Security

3:15 - 3:30 pm: TEA/COFFEE BREAK

3:30 - 5:00 pm: Tutorial 1 (Chaired by Dr. Glaucio H.S. Carvalho, Brock University, Canada)
Dr Ajmery Sultana 
School of Computer Science and Technology, Algoma University, Brampton Campus, Ontario, Canada
Title: Integrating Blockchain Technology in Electric Vehicle Operations: Prospects for a Decentralized and Sustainable Mobility Future

Thursday - October 17, 2024

8:50 - 10:30 am: Keynote III (Chaired by Dr. Wei Lu, Keene State College, USA)
Dr. Sudeep Tanwar 
Department of Computer Science and Engineering, Nirma University, India.
Title: Amalgamation of Blockchain and AI for 5G and Beyond Applications: Opportunities and Challenges

10:30 - 10:45 am: TEA/COFFEE BREAK

10:45 – 1:00 pm: Session II (3 Papers)
Chaired by: Dr. Sherif Saad, University of Windsor, Canada

10:45 – 11:30 pm: Paper I 
Deep Reinforcement Learning-Based Open and Hybrid Switching-Driven Software-Defined Networking: Adaptability and Comparison
Lateef Adesola Akinyemi1, Jelil Olatunbosun Agbo-Ajala, Donatien Koulla Moulla, David Attipoe, Sree Gaanesh Thotempudi, Ernest Mnkandla, and Mbuyu Sumbwanyambe

11:30 – 12:15 pm: Paper II
Machine Learning Algorithms for Energy Consumption Prediction in Smart Homes: A Comparative Study
Donatien Koulla Moulla, David Attipoe, Lateef Adesola Akinyemi, Sree Ganesh Thottempudi, Jelil Olatunbosun Agbo-Ajala, Ernest Mnkandla, and Alain Abran

12:15 – 1:00 pm: Paper III
IoT Device Fingerprinting for Anomaly Detection
Justice Owusu Agyemang, Sylvester Junior Ampomah, Awumee Gabriel Selorm, Richard Somda Vinkpedomeh, and Patience Berko

1:00 - 2:00 pm LUNCH BREAK

2:00 - 3:30 pm: Tutorial 2 (Chaired by Sherif Saad, University of Windsor, Canada)
Amir Mohammad Bagha 
PhD Candidate, Department of Computer Science, Toronto Metropolitan University, Canada
Title: A Graph Clustering-Based Network Anomaly Detection System

3:30 - 3:40 pm TEA/COFFEE BREAK

3:40 – 5:40 pm: Session III (4 Papers)
Chaired by: Dr. Isaac Woungang, Toronto Metropolitan University, Canada

3:40 – 4:10 pm: Paper I
Anomaly detection in PD-NOMA Cognitive Radio IoT Networks
Gilbert Machani, Simon Chege and Tom Walingo

4:10 – 4:40 pm: Paper II
Optimizing Wearable Sensors with Multi-Feature Approximate Computing
Nishanth Chennagouni and Qiaoyan Yu

4:40 – 5:10 pm: Paper III
Survey-Based Machine Learning Models for Early Detection of Diabetes
Eric Brown and Wei Lu

5:10 – 5:40 pm: Paper IV
Real-Time Baseline Estimation of Ground Magnetometer Data Using iBUG Development Board: A TinyML Approach
Talha Siddique, Faishal Yousuf and Md Shaad Mahmud

Friday - October 18, 2024

9:00 - 10:30 am: Keynote IV (Chaired by Dr. Wei Lu, Keene State College, USA)
Dr. Simon K. Chege
Department of Electrical and Communication Engineering, Moi University, Kenya
Title: Multi-Radio Access Technologies with Artificial Intelligence on Internet of Things (IoT)

10:30 - 10:45 am: TEA/COFFEE BREAK

10:45 am - 12:45 pm:: Session IV (3 papers)
Chaired by: Dr. Sherif Saad, University of Windsor, Canada

10:45 – 11:30 pm: Paper I
Breast Cancer Histology Images Segmentation Using Connected Component Analysis
Vincent Majanga and Ernest Mnkandla

11:30 – 12:15 pm: Paper II
Optimized Smart Insole Design for Temporal Gait Parameters Measurement
Femi Olugbon, Nozhan Ghoreishi, Dain LaRoche, Ming-Chun Huang, and Diliang Chen

12:15 – 12:45 pm: Paper III
Transforming Agriculture: Disease and Pest Management through CNN-Based Image Classification in Computer Vision
Sree Ganesh Thottempudi, Donatien Koulla Moulla, Jelil Olatunbosun Agbo-Ajala, David Attipoe, Lateef Adesola Akinyemi1, Ernest Mnkandla

12:15 - 1:45 pm: TEA/COFFEE BREAK

1:45 - 3:05 pm: Tutorial 3 (Chaired by Dr. Wei Lu, Keene State College, USA)
Dr. Robson E. De Grande and Mubashir Murshed (PhD Candidate) 
Department of Computer Science, Brock University, Canada
Title: Simulation-based Design and Evaluation of Multi-Radio Access Technologies for Highly Mobile Vehicular Networks

3:05 – 3:25 pm CLOSING REMARKS

3:25 – 4:00 pm: WIDECOM 2024 Steering Committee Meeting