Rowan Students

1. Samira Mabtoul (September 2023 - onwards) - MSDS (Thesis)

Topic: Uncertainty Quantification using Conformal Prediction for Simulation on Mesh.

4. Lu Lin (July 2024 - onwards) - PhD DS

Topic: Privacy and Online Learning Framework

5. Izhar Ali (August 2024 - onwards) - MSDS (Thesis)

Topic: A Graph anomaly detection and explanation System (NSF-funded)

Former Students:

1. Christopher Heisler (May-August 2017) - Summer Undergraduate Research Project

2. Merry Degaga (May 2017 - May 2018)

3. Benny Chen (May 2017 - Sept 2018) - graduated Spring 2019 (RunSignUp - Software Developer)

4. Kaitlyn Myer (September 2018 - April 2019) - graduate Spring 2019 - (Joined Purdue in Fall 2019 for PhD in Applied Mathematics)

5. Wen Fei Cao (Jan 2019 onwards) - graduated Spring 2019 - (Amazon Prime Video - Software Engineer)

6. Alex Lam (May 2018 - April 2020) -graduated Spring 2021

7. Scott Zockoll (May 2018 - May 2020) - graduated Fall 2020 - (Atlassian - Software Engineer)

8. Mathew Marchiano (August 2019 - Dec 2019) - (Cooper Medical Health Care - Financial Systems Data Engineer)

9. Matthew Schofield (May 2018 - May 2021) - graduated Fall 2022 (AppFolio - Senior Machine Learning Engineer)

10. Kiefer Montenero (May 2020 - May 2021)

11. Nirav Patel (June 2021- December 2021)

12. Owen Andersons (June 2021 - December 2021)

13. Autumn Chadwick (March 2019 - May 2022) - graduated Spring 2022 (Wind River - Senior Machine Learning Software Engineer)

14. Jordan Jiosi (Jan 2022 - May 2023) - graduated Spring 2023 (Phillips & Cohen Associates, Ltd. - Software Architect)

15. Chinmai Reddy Modugula (March 2023 - December 2023) - graduated Fall 2023 with MSDS

16. Stephen Piccolo (March 2023 - May 2024) - graduated Spring 2024 with BSCS (Northeast Precast - Software Developer)

17. Gopi Krishna Patapanchala (May 2023 - May 2024) - graduated Spring 2024 with MSDS (SmartTech ProServe - Software Engineer)

18. Suraj Bitla (May 2023 - Dec 2024) - graduated Fall 2024 with MSCS (SmartTech ProServe - Software Engineer)

19. Mahender Rao, Samperboyina, (November 2023 - Dec) - graduated Fall 2024 with MSCS

Graduated Master Thesis Students:

1. Phillip DiBona (September 2017 - Jun 2018) - MS - CS - (Lockheed Martin - AI Integration Architect)

Thesis: Information foraging through the analysis of semantic network topology

2. Matthew Schofield (May 2020 - May 2021) - Accelerated MS CS (AppFolio - Senior Machine Learning Engineer)

Thesis: Rebalancing Shared Mobility Systems by User Incentive Scheme via Reinforcement Learning

3. Andrew Cuccinello (Jan 2021 - December 2021) - Accelerated MSc. (TD - Quality Engineer)

Thesis: An Empirical Study on the Efficacy of Evolutionary Algorithms for Automated Neural Architecture Search

4. Autumn Chadwick (March 2019 - May 2022) - BS-CS/MSc. CS (Wind River - Senior Machine Learning Software Engineer)

Thesis: Low Memory Continual Learning Classification Algorithms For Low Resource Hardware

5. Nicholas Michelette (July 2021 - May 2022) - Accelerated MSc. (ASRC Federal - Software Engineer)

Thesis: An Empirical Study On Sampling Approaches For 3D Image Classification Using Deep Learning

6. Voleti, Kousalya Soumya Lahari (Jan 2022 - September 2022) - MS CS

Thesis : Utilizing Federated Learning and Meta-Learning for Few-Shot Classification on Edge Devices

7. Steven Arroyo (July 2022 - May 2024) - MS CS (ASRC Federal - Software Engineer)

Thesis: Federated Learning Based Autoencoder Ensemble System for Malware Detection on Internet of Things Devices

8. Tarun Teja Kairamkonda (January 2023 - May 2024) - MS CS

Thesis: An Empirical Study on Detecting and Explaining Global Structural Change in Evolving Graph using Martingale

9. Brian Campana (November 2023 - May 2024) - Accelerated MS CS (Capital One - Associate Software Engineer)

Thesis: Reinforcement Learning for Robotic Tasks: Analyzing and Understanding the Learning Process Using Explainable Artificial Intelligence Methods

2018 Summer Undergraduate Research Program Poster Session

Research Group Lunch - 2019

End of Year Dinner (December 2021) with MSc. Students, Undergraduate Research Students and Dr Ning Wang

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