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Yola (Georgia) Katsargyri

  • Assistant Professor of Clinical Data Sciences and Operations

Yola Katsargyri is an Assistant Professor of Clinical Data Sciences and Operations at Marshall School of Business. She teaches at Marshall School’s undergraduate, MS, and MBA programs.

Prior to joining USC, Yola worked as a data science manager, data scientist and academic researcher in a variety of fields (automotive, financial market, digital advertising, education technology, entertainment) and held both individual contributor and leadership positions. Yola earned a PhD and Master’s degree in Electrical Engineering and Computer Science from MIT and has more than 10 years of experience in operations research and data science. She is the primary inventor of 3 US patents.

Yola (Georgia) Katsargyri
Press Inquiries: COMMUNICATIONS@MARSHALL.USC.EDU

Areas of Expertise

Analytics
Artificial Intelligence (AI)
Big Data
Customer Satisfaction
Data Algorithms
Deep Learning
Dynamic Programming

Departments

Data Sciences + Operations

NEWS + EVENTS

AWARDS

  • US Patent: Apparatus and method for identifying digital gaming activity based upon anonymized keystroke data

    Patent number: 11779838Abstract: A non-transitory computer readable storage medium has instructions executed by a processor to collect keystroke data of a user for a designated time period. A number of distinct keys is derived from the keystroke data. A maximum character frequency is derived from the keystroke data. Digital gaming activity is selectively designated based upon the number of distinct keys and the maximum character frequency.

    Issuer

    United States Patent and Trademark Office (USPTO)

    Issue Date

    10.10.2023

    VISIT SOURCE

  • US Patent: Electric vehicle and method of battery set-point control

    Patent number: 9545915

    Abstract: A method includes utilizing navigation data from a navigation system to segment a route to be travelled by a travelling vehicle into segments each having a road grade different than neighboring segments. The method further includes discharging a battery of the vehicle as the vehicle travels along an initial segment of the route according to a state-of-charge (SoC) set-point based on the road grade of the initial segment and a variable representative of the road grades of at least two other segments of the route.

    Issuer

    United States Patent and Trademark Office (USPTO)

    Issue Date

    01.17.2017

    VISIT SOURCE

  • US Patent: Hybrid electric vehicle and method of path dependent receding horizon control

    Patent number: 8612077

    Abstract: A path-dependent control of a hybrid electric vehicle (HEV) includes segmenting an original route into segments. A virtual route based on the remaining portion of the original route is generated once the HEV reaches a current segment of the original route. The virtual route includes a first segment corresponding to the current segment of the original route and a last segment representing at least two other segments of the remaining portion of the original route. Battery SoC set-points for the segments of the virtual route are generated. The vehicle is controlled according to the battery SoC set-point for the first segment of the virtual route as the vehicle travels along the current segment of the original route.

    Issuer

    United States Patent and Trademark Office (USPTO)

    Issue Date

    12.17.2013

    VISIT SOURCE

COURSES

Spring 2025
  • DSO-552
    SQL Databases for Business Analysts
    SQL; relational database systems; data storage; data manipulation; data aggregation.
  • DSO-553
    NoSQL Databases in Big Data
    NoSQL; semi-structured and unstructured databases; data storage; data manipulation; distributed databases.
  • DSO-555
    Advanced SQL for Business Analysts
    Constructing complex queries and performing exploratory data analyses (EDAs) to produce actionable insights and recommendations. Experience in query optimization and data modeling.
Fall 2024
  • DSO-552
    SQL Databases for Business Analysts
    SQL; relational database systems; data storage; data manipulation; data aggregation.
  • DSO-435
    Enterprise Data Architecture
    Management of enterprise data architecture including data structures, conceptual data modeling, logical data modeling, structured query language (SQL), and physical optimization of high performance data architecture. Duplicates credit in former IOM 435.
  • DSO-552
    SQL Databases for Business Analysts
    SQL; relational database systems; data storage; data manipulation; data aggregation.
Spring 2024
  • DSO-553
    NoSQL Databases in Big Data
    NoSQL; semi-structured and unstructured databases; data storage; data manipulation; distributed databases.
  • DSO-552
    SQL Databases for Business Analysts
    SQL; relational database systems; data storage; data manipulation; data aggregation.
Fall 2023
  • BUAD-310
    Applied Business Statistics
    Statistical methods for business analysis; data exploration and description; sampling distributions; estimation; hypothesis testing, simple and multiple regression; model building. Extensive computer applications. (Duplicates credit in BUAD 312 and the former ITP 251.)