"With your eyes on the sky and your feet on the ground, chase your dream relentlessly."
Christos Petridis
PhD student in CIS @ Temple
Christos Petridis
PhD student in CIS @ Temple
About Me
Hi there 👋
I am a 2nd year PhD student at Temple University in Philadelphia, PA. My PhD is in Computer and Information Sciences and my advisor is Prof. Zoran Obradovic. My research focuses on predictive modeling of imbalanced data. Current projects include 1) weather-related power outage prediction (in collaboration with Texas A&M) and 2) NBA lineup performance evaluation. I am also experimenting with LLMs on schema matching, attribute value extraction, and data harmonization.
Before my Ph.D., I got an Integrated Masters (5 years) in Electrical and Computer Engineering (ECE) from the University of Thessaly in Volos, Greece. I completed my thesis (and published a paper) in collaboration with Angelicoussis Group where I worked on estimating hull fouling* using machine learning and propulsion data. During my studies, I also interned at Angelicoussis Group (2023) and other software companies.
Currently, I am building Carlytics.
* Hull Fouling is the undesirable accumulation of marine organisms on submerged structures, increasing drag and fuel use.
Education
Ph.D. in Computer and Information Sciences
Advisor: Dr. Zoran Obradovic
GPA: 3.93/4.00
5-year Integrated Masters in Electrical and Computer Engineering (300 ECTS)
Thesis: "Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data", advised by Dr. Michael Vassilakopoulos
GPA: 8.23/10.0 (Ranked 4th in my class, Top 10% of the academic year)
Professional Experience
Graduate Research Assistant
Temple University
- •UAV Navigation: Developing methods to predict the location and eventually the trajectory of UAVs (drones) in GPS-denied environments using visual features extracted from aerial imagery.
- •Power Outage Prediction: Working with spatiotemporal data to predict weather-related power outages and their duration.
CTO & Co-Founder
Carlytics
- •Building the technological infrastructure (including the backend API service, AWS cloud architecture, and database administration) for the smartest way to analyze used cars and interact with data through natural language, enabling comprehensive, data-driven insights and confident predictions for the (used) car market in Greece.
Data Science Intern
Angelicoussis Group
- •Developed a framework to extract text from company's documents and classify them into categories using NLP tecnhiques (fine tuned pre-trained language models like DistilBERT, XLNet etc.).
- •Performed fleet performance prediction & evaluation using data related to company's ships.
- •Performed exploratory data analysis to select the best anti-fouling hull paint examining different factors for the whole fleet.
- •Worked with the R&D team on estimation of added resistance for vessels, aiming to reduce environmental impact and improve fuel management (Integrated Master's thesis collaboration).
Software Engineer Intern
DevN (Psathas Neilos Christos Software Company)
- •Assisted in development of the front-end of two mobile (Android) applications using Java.
- •Collaborated with team members using version control systems such as Git to organize modifications and updates.
- •Worked with Google Firebase to manage user inputted data across the mobile applications.
- •Assisted in the backend development of a web app (API service) utilizing Node.js and Express.js.
Software Engineer Intern
Swollet Technologies Ltd.
- •Assisted in development of the front-end of two mobile (Android) applications using Java.
- •Collaborated with team members using version control systems such as Git to organize modifications and updates.
- •Worked with Google Firebase to manage user inputted data across the mobile applications.
- •Assisted in the backend development of a web app (API service) utilizing Node.js and Express.js.
Research Papers (first author)
Papers are presented in chronological order (with the most recent appearing first).
From Prior Beliefs to Lineup Truths: Bayesian Inference for Lineup Performance
Authors: Christos Petridis, Konstantinos Pelechrinis, Zoran Obradovic
Venue: under review (preprint from Research Square)
A Cost-Aware Evaluation of Duration Predictions for Weather-Induced Forced Power Outages
Authors: Christos Petridis, Zoran Obradovic, Rashid Baembitov, Mladen Kezunovic
Venue: (in press) 22nd International Conference on Artificial Intelligence Applications and Innovations (AIAI 2026)
Lineup Regularized Adjusted Plus-Minus (L-RAPM): Basketball Lineup Ratings with Informed Priors
Authors: Christos Petridis, Konstantinos Pelechrinis
Venue: arXiv
PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments Using Image Feature Extraction and Machine Learning
Authors: Christos Petridis, Abhudaya Shrivastava, Marijana Vacic, Zoran Obradovic
Venue: 21st International Conference on Artificial Intelligence Applications and Innovations (AIAI 2025)
Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits
Won the Best Paper award in Smart Green category
Authors: Christos Petridis, Michael Vassilakopoulos
Venue: 8th International Conference on Smart Data and Smart Cities (SDSC 2024)
Teaching Experience
ECE311 Database Systems I
ECE326 Object Oriented Programming
News & Updates
Attended the North East AI Agents Day 2026 @ Jane Street's Headquaters in NYC
May 2026
ConferenceThe goal of this workshop is to offer a comprehensive overview of AI agents, bring ML, Systems, and HCI research communities together to share progress, discuss common problems and evaluation setups, and identify opportunities for collaboration.
Attended the North East Database Day 2026 @ UMass Boston
January 2026
ConferenceThe North East Database Day (NEDB Day) is an annual one-day academic and industry conference focused on database systems, data management, analytics, and related areas of data-intensive computing.
Successfully passed my PhD Qualifying Exam
January 2026
AchievementThe Qualifying Examination tests the student on the fundamentals of Computer and Information Science and the knowledge required to do research in the field. It consists of a written exam on theory and algorithms, systems, and track-specific material.
Virtually presented three papers at AIAI 2025
June 2025
Conference- •PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments Using Image Feature Extraction and Machine Learning
- •Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids
- •Autonomous Navigation in Swarm of UAVs Using Spatio Temporal Data and Constrained-Reinforcement Learning
Best Paper Award at SDSC 2024
July 2024
AwardOur paper entitled 'Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits' won the Best Paper Award in the Smart Green category at the 8th International Conference on Smart Data and Smart Cities (SDSC 2024).