Farahnaz Golrooy Motlagh

Visiting Assistant Professor of Data Science - Data Science Program - Natural Sciences

Farahnaz Golrooy Motlagh
  • Phone: (941) 487-4519
  • Email: fgolroo@ncf.edu
  • Office Location: HNS253
  • Mail Location: HNS E172C

Farahnaz Golrooy joined New College of Florida in January 2020 as a Visiting Assistant Professor. In 2013 she started her career as a researcher at Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis Center). She was the lead, coordinator, developer, researcher, and mentor for four projects: Twitris, eDrugTrends, PREDOSE, DAO. In 2014 she received a 5 years Ph.D. Scholarship in Computer Science to pursue her doctoral degree. She has over 17 research publications and two book chapters to her credit.

During her career at WSU she organized Women in Data Science seminars and events behalf of Stanford University. Golrooy’s research areas are: ML, AI, NLP, Ontology, and Knowledge Extraction, Data Mining. Dr. Golrooy was an Instructor (2013-2014) in the Electrical and Computer Engineering Department at the University of Dayton, and Researcher and developer at the University of Dayton Research Institute (UDIR) for Neural Network related project, taught Computer Architecture and Computer Design, and mentored several student projects. She was an Instructor and researcher at Maniple University (2007-2012) and at Eastern Mediterranean University (2002-2006). Golrooy served as IT Manager Director Assistant at Welcare Hospital (1998-2001) where she received the best employee award (out of 850 staff) in 2001.

Golrooy received MS and B.Sc. degrees in Computer Engineering from Near East University (NEU), Nicosia, Cyprus.

About Me
I teach undergraduate and graduate level in the Computer Science program and Data Science program at New College of Florida. My research Interests are Data Mining, Machine/Deep Learning, Artificial Intelligence, Predictive Analysis,   Ontology, Natural Language Processing, and Computational Social Science. My recent research has been in Multi-Pattern Recognition aided Relationship Prediction Models, using advanced data mining and deep learning techniques.

Previous Taught Courses Selected.

  • Embedded Systems
  • Computer Architecture
  • Computer Design
  • Artificial Intelligent
  • Database
  • Machine Learning
  • System Dynamic
  • Cyber Security
  • Research Methodology and Seminars
  • Computer Programming (Java, Python)
  • Data Mining
  • Computer Graphic
  • Data Structures
  • Information System Management

Courses at NCF

Spring 2020:

  • Data Mining and Artificial Intelligence
  • Databases and Web Applications

Fall 2020:

  • Special Topic in Data Science (Deep Learning and It’s Extensions)
  • Python Tutorial

Selected Publications
1. DsOn: Ontology-driven Model for Symptom and Drug Knowledge Extraction on Social media (IEEE 2020).
2. Developing Machine Learning Model for Disambiguate Pattern Recognition on Social Media (IEEE 2020).
3. Predicting Public Opinion on Drug Legalization: Social Media Analysis and Consumption Trends, (ASONAM 2019).
4. To Develop Lean System in Electronic Automotive Parts Manufacturing Industry: A System Dynamics Modeling Approach (ICACTM 2019).
5. Development of Integrated Knowledge and Technology Management Model for the higher education. (ICACTM 2019).
6. Knowledge Management Technology, Knowledge Sharing and Learning – A Case Study (ICACTM 2019).
7. Trending: Social media analysis to monitor cannabis and synthetic cannabinoid use. NIH (Poster2017).
8. “Time for dabs”: Analyzing Twitter data on butane hash oil use. In College on Problems of Drug Dependence CPDD 2016. Phoenix, Arizona.
9. “Time for dabs: Analyzing Twitter data on marijuana concentrates across the U.S.”, Drug and Alcohol Dependence.2015
10. System Dynamics Model for Remanufacturing in Closed-Loop Supply Chain, the 30th International Conference of the System Dynamics Society, St. Gallen, Switzerland 2013.
11. System Dynamics Based Perspective to Responsibility Centered Maintenance, the 30th International Conference of the System Dynamics Society, St. Gallen, Switzerland 2013.
12. “Vehicle Fuel Consumption Modeling: A System Dynamics Approach”, World Congress in Engineering (WCE – 2011), International Association of Engineers, Imperial College London.
13. “Identifying the Optimum Warehouse Capacity Requirement: A System Dynamics Approach”, UK Sim 5th European Modeling Symposium on Mathematical Modeling and Computer Simulation, Madrid, 2011.
14. “Comparison of SERVQUAL and SERVPER Metrics: An Empirical Study”, Emerald Insight TQM Journal, 2011, London, UK.