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Katerina Tsakiri

Katerina Tsakiri

Associate Professor, Department Chair
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Contact Info

Email: ktsakiri [at] rider.edu

Phone Number: 609-895-5593

Department: Department of Information Systems, Analytics and Supply Chain Management

Office Location: Sweigart Hall

Additional Info:

Academic Focus: Business Analytics, Management Sciences

Contact Info

Email: ktsakiri [at] rider.edu

Phone Number: 609-895-5593

Department: Department of Information Systems, Analytics and Supply Chain Management

Office Location: Sweigart Hall

Additional Info:

Academic Focus: Business Analytics, Management Sciences

Academic Background

  • Ph.D. University at Albany, SUNY, NY, Department of Mathematics and Statistics, 2010
  • M.A. University at Albany, SUNY, NY, Dept. of Mathematics and Statistics, 2006
  • B.S. and M.S., National Technical University of Athens, Greece, School of Applied Mathematics and Physical Sciences, 2004

Refereed Articles

  • Marsellos, A. E., Hantzis, K. D., & Tsakiri, K., (2020). How to remove the seasonal atmospheric effect: An application on a surface volcanic temperature at Nisyros active volcano, Hellenic Volcanic Arc., Journal of Volcanology and Geothermal Research, Vol 407. https://doi.org/10.1016/j.jvolgeores.2020.107069 
  • Plitnick, T. A., Marsellos, A. E., & Tsakiri, K. (2018).  Times Series Regression for Forecasting Flood Events in Schnenectady NY.  Geosciences, 8 (317)., doi: 10.3390/geosciences8090317.
  • Marsellow, A. E., Tsakiri, K., Kapetanakis, S., & Kyriakopoulos, K. (2018).  A Hyprid Model Using Time Series and Markov Chain for the Detection of the Main Periodicities on the Temperature Data in Nisyros Volcano, South Aegean.  Geoinformatics and Geostatistics: An Overview, 6 (1).
  • Tsakiri, K., Marsellow, A., & Kapetanakis, S. (2018).  Artificial Neural Network and Multiple Linear Regression for Flood Prediction in Mohawk River, New York.   Water, 10 (1158)., doi: 10.3390/w10091158.
  • Tsakiri, K. G., Marsellos, A. E., & Zurbenko, I. G. (2014).  An efficient prediction model for water discharge in Schoharie Creek, NY.  Journal of Climatology, 2014., doi: 10.1155/2014/284137.
  • Tsakiri, K., & Zurbenko, I. G. (2014).  Explanation of fluctuations in water use time series.  Environmental and Ecological Statistics, 20 (3), 399-412, doi: 10.1007/s10651-012-0225-0.

Refereed Proceedings

Full Paper

  • Lakeram, S., Plitnick, T., Chernoff, D., Marsellos, A. E., & Tsakiri, K. G. (2018).  Flood Forecasting of Water Discharge at Freeman's Bridge in Schenectady, NY.   Mohawk Watershed Symposium.
  • Gogos, I., Shire, K., Lakeram, S., Marsellos, A. E., & Tsakiri, K. G. (2018).  Forecasting of Water Discharge Using Atmospheric and Hydrologic Sensors to Identify Long-Term High-Risk Periods in Herkimer County, NY.   Mohawk Watershed Symposium, 10 (29), 32.
  • Marsellos, A. E., Tsakiri, K. C., & Kavalleros, A. (2016).  Data Mining for Immediate Decision Making in Flood Hazard Events: An Application at Mohawk Watership in New York.   Mohawk Watershed Symposium, 32-33.
  • Marsellos, A. E., & Tsakiri, K. G. (2015).  Flooding Prediction in a Large Watershed: An Example from Mohawk River in New York.   Mohawk Watershed Symposium, 35-38.
  • Tsakiri, K., & Marsellos, A. E. (2014).  A Numerical Model for the Prediction of Flooding in Water Rivers.   International Conference on Numerical Analysis.
  • Tsakiri, K., & Marsellos, A. E. (2014).  An approach to flooding prediction using GIS and time series decomposition: an example of flooding in Mohawk River, New York.   Geomapplica Conference, 7.

Presentation of Refereed Papers

International

  • Tsakiri, K., Marsellos, A. E., & Kapetankis, S. (2018). Artificial Neural Networks and Time Series Decomposition for the Flood Prediction in Mohawk Watershed, New York.  Symposium on Data Science and Statistics (SDSS), Reston, Virginia.
  • Tsakiri, K. (2015, January). A Time Series Model for the Prediction of Flooding in Water Rivers.  Joint Mathematics Meetings, San Antonio, Texas.
  • Tsakiri, K. G. & Marsellos, A. E. (2014). An approach to flooding prediction using GIS and time series decomposition: an example of flooding in Mohawk River, New York.  Geomapplica Conference, Athens, Greece.
  • Tsakiri, K. & Marsellos, A. E. (2014, September). A Numerical Model for the Prediction of Flooding in Water Rivers.  International Conference on Numerical Analysis, Crete, Greece.

National

  • Marsellos, A. E., Tsakiri, K., Kapetanakis, S., Jones, M., & Kyriakopoulos, K. (2017). Temperature Monitoring of a Volvanic Vent Gas Emission using Time Series Analysis and Markov Chain Approach: An Example in Nisyros Volcano, South Aegean.  Geological Society of America Annual Meeting, Seattle, Washington.
  • Marsellos, A. E., Tsakiri, K. G., & Smith, M. (2014). Prediction of River Flooding using Geospatial and Statistical Analysis in New York USA and Kent UK.  American Geophysical Union, San Francisco, California.

State

  • Kapetanakis, S., Marsellos, A., & Tsakiri, K. (2018). Artificial Neural Networks and Time Series Decomposition for the Flood Prediction in Mohawk Watershed, New York.  Mohawk Watershed Symposium, Schenectady, New York.
  • Tsakiri, K. (2018). Forecasting of Water Discharge Using Atmospheric and Hydrologic Sensors to Identify Long-Term High-Risk Periods in Herkimer County, NY.  Mohawk Watershed Symposium, Schenectady, New York.
  • Tsakiri, K. (2018). Flood Forecasting of Water Discharge at Freeman's Bridge in Schenectady, New York.  Mohawk Watershed Symposium, Schenectady, New York.
  • Tsakiri, K. (2016). Data Mining for Immediate Decision Making in Flood Hazard Events: An Application at Mohawk Watershed in New York.  Mohawk Watershed Symposium, Schenectady, New York.
  • Tsakiri, K. (2015). Flooding Prediction in a Large Watershed: An Example from Mohawk River in New York.  Mohawk Watershed Symposium, Schnedtady, New York.
  • Tsakiri, K. (2014, March). Prediction Model for the Water Discharge Time Series in Mohawk Watershed, NY.  Mohawk Watershed Symposium, Schenectady, New York.

Honors-Awards-Grants

Award

  • 2017 – 2018:  Davis Fellowship, Rider University.
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