Bryan Wodi

About

I am completing my M.Sc. in Computer Science at the University of Manitoba. My interests are in the following fields:

• Data and Systems Engineering,
• DevOps, and
• Process Optimization

Recently, I have been interested in railway transportation and its ties with Data Science in the development of approximation algorithms for predicting its impact on road traffic. The type of problems that interest me the most are those whose solutions affect the social well-being of communities.

Degrees

2018 - ...    M.Sc.                   University of Manitoba   (Master of Science) [Started September 2018]

• Thesis: Intentionally left blank
• Field: Computer Science
• Branch: Data Science (and engineering)
• Concentrations:  Big Data, Hybrid databases
• Advisor: Dr. Carson Kai-Sang Leung

2018 B.Sc. (Co-Op.)             University of Manitoba   (Bachelor of Science)

• Major: Computer Science
• Minors: Statistics and Economics
• Concentrations: Software Engineering and Databases

Research Interests

At the moment, I am interested in Data Sciene and Engineering-related research topics. More specifically, I am interested in researching innovative ways of making data uniform across different entities and platforms. I believe for the world to be truly smart, data has to be very portable between entities.

Current Research

My current investigation is:

• A Geofencing-Centred Approach to Predicting the Impact of Trains on Road Traffic in Winnipeg, Manitoba.

Publications (10)                                                                                                                        

An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds.
Alfredo Cuzzocrea, Carson K. Leung, Bryan H. Wodi, Sourav, Edoardo Fadda. Procedia Computer Science 177, special issue of EUSPN (EICN) 2020: 509-515 (2020).

Fast privacy-preserving keyword search on encrypted outsourced data.
Bryan H. Wodi, Carson K. Leung, Alfredo Cuzzocrea, Sourav. IEEE BigData (PSBD) 2019.

WeFreS: weighted frequent subgraph mining in a single large graph.
Nahian Ashraf, Riddho Ridwanul Haque, Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Jiaxing Jason Mai, Bryan H. Wodi. 19th Industrial Conference on Data Mining 2019, New York, NY, USA, 2019, pp. 201-215.

Big Data Analysis and Services: Visualization on Smart Data to Support Healthcare Analytics.
Carson K. Leung, Yibin Zhang, Calvin S.H. Hoi, Joglas Souza, Bryan H. Wodi. 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta, GA, USA, 2019, pp. 1261-1268. IEEE DOI: 10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00212

A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments.
Seokjin Ahn, Stéfan V. Couture, Alfredo Cuzzocrea, Kevin Dam, Giorgio M. Grasso, Carson K. Leung, Kaleigh L. McCormick, Bryan H. Wodi. 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA, 2019, pp. 1-6. IEEE doi: 10.1109/FUZZ-IEEE.2019.8858791

Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data.
Carson K. Leung, Calvin S.H. Hoi, Adam G.M. Pazdor, Bryan H. Wodi, Alfredo Cuzzocrea. 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 5101-5110. IEEE DOI: 10.1109/BigData.2018.8622260

Visual analytics of big data: visualizing popular patterns
Carson K. Leung, Bryan H. Wodi. Submitted - BIDMA 2018.

Big Data Visualisation and Visual Analytics for Music Data Mining.
Katrina E. Barkwell, Alfredo Cuzzocrea, Carson K. Leung, Ashley A. Ocran, Jennifer M. Sanderson, James Ayrton Stewart, Bryan H. Wodi. 2018 22nd International Conference Information Visualisation (IV), Fisciano, Italy, 2018, pp. 235-240. IEEE DOI: 10.1109/iV.2018.00048

An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining.
Deyu Deng, Carson K. Leung, Bryan H. Wodi, Jialiang Yu, Hao Zhang, Alfredo Cuzzocrea. 2018 IEEE International Conference on Cognitive Computing (ICCC), San Francisco, CA, 2018, pp. 49-56. IEEE DOI: 10.1109/ICCC.2018.00014

Alternative Control for Teleoperation Robots Using A Set-and-leave Approach.
Amirhossein Hosseinmemar, Jacky Baltes, John Anderson, Meng Cheng Lau, and Henry Bryan Wodi. International Conference on Advanced Humanoid Robotics Research, Grand Epoch City, China, 2016.

Presentation(s)

An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining.
(July 2018), IEEE Services / IEEE ICCC 2018, Grand Hyatt San Francisco.

Conferences Attended

• IEEE ICCC 2018 [July 5, 2018]
  • I was a speaker in the ICCC session 3, presenting a paper I co-authored.

Teaching and T.A.'ing

Teaching History

Teaching Assistant History

Others

My mantra is, "Strive to be lazy!" I feel fulfilled for every manual task I automate using a script. So naturally, I am drawn to projects that involve a lot of interaction with the Command Line. I believe the human energy is too precious to spend it clicking on a mouse! Oh yes, I use vim, shhh!!! All in all, I care about efficiency.

Lastly, my non-nerdy interests are:

• Traveling - like every holiday that lasts longer than 2 weeks.
• Video editing - in fact, I have enough travel vlogs to start a YouTube channel. Why haven't I started one you ask? I wonder!
• Soccer - well football, but I don't want to start a fight.
• Swimming - this is more of a New Year resolution than it is an interest. I am afraid of water bodies and I need to learn how to "survive".

Back To Top of Page