CV

Education

Ph.D in Electrical & Computer Engineering, University of Southern California, 2022 (expected)
M.S. in Electrical & Computer Engineering, University of Southern California, 2019
B.S. in Electrical & Computer Engineering, University of Patras, 2016

Work experience

Facebook Inc.
May 2021 - Aug 2021 : Menlo Park, CA, USA
Software Engineer Intern (Machine Learning Track)
- Incoming intern at the Marketplace team
Fujitsu Laboratories of America Inc.
May 2019 - Aug 2019 : Sunnyvale, CA, USA
Machine Learning Research Intern
- Developed a software tool in Python for designing rule-based classification algorithms using Bayesian model selection techniques for XGBoost
- Optimized the software tool to handle multi-class classification and class-imbalanced problems
- Evaluated the proposed algorithm and compared it with the state-of-the-art Deep Learning explanation models (LIME, SHAP, Anchors) published in top AI conferences (NIPS, AAAI)
- Supervisor: Dr. Kanji Uchino

Research experience

University of Southern California
Aug 2018 - Present : Los Angeles, CA, USA
Research Assistant
- Developed OECC, an algorithm for Anomaly and Out-of-Distribution detection that outperformed the previous state-of-the-art by 6% (Paper) and (Code)
- Detecting hateful users on Twitter combining tweet content embeddings and graph neural networks based on a retweet graph
- Authored a research proposal that was awarded $5,000 Google Cloud credits by Google
Center for Advanced Transportation Technologies
Aug 2016 - Present : Los Angeles, CA, USA
Graduate Research Assistant
- Led the development of a microscopic traffic simulator for the LAX airport using data provided by Los Angeles World Airports that is currently used by the LAX traffic agency (Paper)
- Designing machine learning and optimization algorithms for personalized routing of truck drivers with data provided from more than 50 trucking companies
- Developed an optimization algorithm for optimum traffic assignment combined with a game-theoretic pricing strategy and reduced traffic congestion by 9%
- Published results in 3 peer-reviewed journals and 2 international conferences (1st author)
- Supervisors: Prof. Petros Ioannou and Prof. Maged Dessouky
Power Systems, Renewable and Distributed Generation Laboratory
Dec 2014 - May 2016 : Patras, Greece
Undergraduate Research Assistant
- Designed a control algorithm to reduce oscillations in convey-crane systems
- Developed a novel control algorithm for inverted pendulum system stabilization
- Published results in 2 international conferences in IEEE Xplore (1st author)

Skills

Programming Languages:
- Python
- C
- Matlab
Machine Learning Tools:
- PyTorch, Keras, TensorFlow
- Numpy, Pandas, Matplotlib, Scipy, Scikit-learn, Seaborn
Other:
- SQL
- Git
- Linux

Selected Publications

Personalized Pareto-Improving Pricing-and-Routing Schemes for Near-Optimum Freight Routing: An Alternative Approach to Congestion Pricing

A-A. Papadopoulos, I. Kordonis, M. Dessouky, P. Ioannou. (2021). "Personalized Pareto-Improving Pricing-and-Routing Schemes for Near-Optimum Freight Routing: An Alternative Approach to Congestion Pricing." Transportation Research Part C: Emerging Technologies. vol. 125.

Outlier Exposure with Confidence Control for Out-of-Distribution Detection

A-A. Papadopoulos, M.R. Rajati, N. Shaikh, J. Wang. (2021). "Outlier Exposure with Confidence Control for Out-of-Distribution Detection." Neurocomputing. 441, 138-150.

Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network

Y. Zhang, A-A. Papadopoulos, P. Chen, F. Alasiri, T. Yuan, J. Zhou, P. A. Ioannou. (2021). "Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network." IEEE Transactions on Inteligent Transportation Systems. (under review).

Memberships and Service

MENSA - The High IQ Society (Top 1%) More info
Hellenic Students Association of USC (Vice President)

Aristotelis-Angelos Papadopoulos

CV