About Me
Hi, I’m Amutheezan Sivagnanam. I’m currently in my fifth year as a Ph.D. student.
In Fall 2019, I joined the Resilient Networks and Systems (RNS) Lab as a Ph.D. student.
My research interests are in the fields of Artificial Intelligence, Machine Learning, and Data Mining.
Work Experience
Lab: Resilient Networks and Systems (RNSLab)
Supervisor: Dr. Aron Laszka
Lab: Resilient Networks and Systems (RNSLab)
Supervisor: Dr. Aron Laszka
Research Projects:
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Minimizing Energy Usage in Transit Agencies Operating with Mixed-Fleet of Vehicles (Published in AAAI-21)
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Offline Vehicle Routing with Online Bookings (Published in IJCAI-22)
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Benefits of Bug Bounty Programs
LESG Technology (previously MillenniumIT)
Software Engineer
Jan 2018 - Jul 2019
https://www.lseg.com/markets-products-and-services/technology/lseg-technology
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Working experience with languages such as Java, Python, and C++.
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Introduce Unit Testing for Libraries in Post Trade C++ Code.
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Worked on Making changes in DB and Tested with BDD based Testing.
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Completed the Code Integration works related to Back-End Regression.
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Participated in Code Integration and Code Deployment Plans.
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Worked on Front-End Development for both Product and Solution which consists of Enhancement, Bug Fixing, Merging and Introducing new features.
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Alerting critical issues in the medical industry by evaluating the HL7Message.
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Analysis of the Message flow through out the organization.
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Enhancing the Query capabilities for Message with a highly complex combination of attribute.
Education
Pennsylvania State University
Ph.D. in Informatics
2022 Fall | CGPA 4.00/4.00
Course Works:
- Data Mining
University of Houston
M.Sc. in Computer and Information Sciences
2019 Fall - 2022 Summer | CGPA 4.00/4.00
Course Works:
- Machine Learning
- Artificial Intelligence
- Advance Numerical Analysis
- Computer Architecture
- Operating Systems
- Cloud Computing
University of Moratuwa
B.Sc. in Engineering (Computer Science and Engineering)
2014 Jan - 2018 Jan | CGPA 3.81/4.20
Course Works:
- Data Mining
- Intelligent Systems
- Operational Research