FUN Workshop, Nov. 28, 2:30-5:20pm, in ECS660 

Session 1, 2:30-3:50pm 

1. Card Shuffling Analysis, by Suraj Ryali

2. Sensor network reliability analysis, by Connor Balogh, Calen Mclean

3. Forecasting Student Graduation Rates by Faculty at UVic, by Jack Beckett, Gabriel Green and Jessica Jiang

4. Internet Subscription Sharing, by Robert Kern and Gillian Worley

5. How Many Users can Share a WiFi Router, by Grant Skeels, Micheal Brautigan

6. Queuing Theory Applied to Banks for Customer Satisfaction, by Meghashree TA, Sahil, Sargun Walia

7. Student Number Forecasting using Markov Chains, by Denzel Cheung, Peter Ogilvie, Brandon Zhou-Charles

8. Performance analysis of IEEE802.15.7,VLC, by Somayeh Roshandel

9. Vehicle to Vehicle Safety Messaging in DSRC, by Erfan Khorram, Ehsan Ghasaei

10. Reliable and energy-efficient multi-hop LEACH-based clustering protocol for wireless sensor networks, by Somayeh Abniki, Mahdi Jafar Rangchi

11. A Markov Model of Baseball, by Isaac Streight

12. The Krustal Count, by Callum Brown

13. Forecasting graduating student number of each faculty, by Pengjun Duan, Baojun Hu, Xin Li

14. Predictive Models in Elastic Cloud Resource Scaling Systems: An Overview of PRESS, CloudScale, and AGILE, by Alex Spurgeon

15. Ising Model with Markov Chain Monte Carlo method, by Chang Bi

16. Server Status Predictions using discrete-time Markov Chain model, by Gerrit van Rensburg, Grant Hames-Morgan, James Leahy

17. Analyzing Music Therapy Using Markov Chains, by Gustavo Adolfo Martinez Villarreal, Abhinandan Sharma, Bharat Karri

18. Using item-based model to recommend items, by Xin Cheng, Zhang chao

19. Investment Strategy using the Kelly Criterion, by Daniel Rhodes, Jason Poon, Xiyu Chen

Session 2, 4:00pm-5:20pm 

1. Error Analysis using Markov chains for 5G networks, by Bharath Rao Madela, Aditya Naren Yerramilli, Devang Manoj Sharma

2. Predicting the number of graduating students to some departments of Faculty of Engineering / University of Victoria using Markov Chain, by Malek Elgadi, Moneer Fakroon

3. The Kruskal Count, by Kael Kristjanson

4. HR planning with using of Budgeting Model and its extensive use, by Alan Wu, Amitkumar Bansel, Jian Wang

5. Markov chains and Queuing Analysis for Motor Applications, by Enrique Garcia, Gurdeep Sihota, Andrey Frol

6. V2V/V2I communication, by Anisha Kumar, Sruthi Ramesh

7. Card shuffling analysis, by Tony Massoud, Daksh Sharma, Anjali

8. Predictive Marketing using Content-Based Filtering, by Dallas Brooks, Nic Richardson

9. Implementation of Multi-Hop Dissemination based on AODV and IEEE 802.11p in VANET, by Wenjun Yang

10. V2V Safety messaging, by Shruthi Udhayakumar Devishree, Shashi Kiran Billa, Ridhi

11. Markov chain application on Nordic countries clothing reuse study, by Linfeng Xu, Zhilun Liu, Shiming Zhang

12. Use of Queuing Analysis to Minimize Cost and Improve Customer Experience, by Lachlan Pringle, Dylan Degroot, Nadia Bernard

13. Performance Analysis of Airport Departure Queue, by Idongesit John, Unyime Ukpeh, Jean Louise Vallester

14. Viability of Cloud Gaming, by Takuma Pimlott

15. How to get a random card, by Ziyi Feng, Yifeng Bie, Yan Zhang  

16. PageRank using Markov Analysis, by Krunal Sachdev, Dhruvil Sachdev, Shubham Peri

17. Markov queuing analysis on traffic intersections, by Mark Ballon

18. A Survey: Spectrum Occupancy Prediction Using Machine Learning Techniques, by Xiangyu Ren

19. RED Queue Analysis, by Anju Rama Krishnan, Kanika Jaisinghani

20. Truncated Cubes and The Knapsack Problem, by Benjamin Martin