Meetings

Presentations in Meetings

AGU Fall Meeting, 9 - 13 December 2019, Dynamic Time Lag Regression: Predicting Time Lagged Effects of Solar Activity
LASP Seminar Boulder, CO February 2018 ARTIFICIAL INTELLIGENCE IN SPACE WEATHER PREDICTION: EMERGING TRENDS
Second working meeting on Use of Vector Synoptic Maps for Modeling, NSO, Boulder, CO 6-10 November 2017 HMI Synoptic Maps and Solar Wind Prediction
SEESAW Conference, NOAA, Boulder, CO 5-8 September 2017, MACHINE LEARNING APPROACH TO SPACE WEATHER PREDICTION: PRELIMINARY RESULTS (poster)
Solar Physics Division (SPD) Meeting, Boulder, CO 31 May - 4 June 2016 Controlling Influence of Magnetic Field on Solar Wind Outflow: An Investigation Using Current Sheet Source Surface Model.
Boulder Solar Day, Boulder, CO 14 March 2016 More Solar Wind Predictions Using Coronal Extrapolation Models
Boulder Solar Day 19 March 2013 Point--Spread Functions for AIA and EUVI Telescopes and Their Impact on Prominence Cavities.
AGU Spring Meeting, Baltimore, MD, USA, May 22-26, 2006, Flux Tube Expansion Factor and Solar Wind Speed: Comparison of Current Sheet Source Surface Model and Potential Field Source Surface Model.
AGU Joint Assembly, New Orleans, LA, USA, May 23-27, 2005, Comparison of Photospheric Footpoints of Open Magnetic Field Regions using CSSS and PFSS models, (Poster), Potential Field Source Surface Model and Solar Wind Prediction (Invited talk).
AGU Fall Meeting, San Francisco, CA, USA, December 13-17, 2004, A New Source of the Slow Solar Wind.
SOHO 15 Coronal Heating, University of St Andrews, Scotland, UK, September 6-9, 2004, Is the correlation between flux tube expansion factor and solar wind speed near the Earth causal?
SHINE Workshop, Maui, Hawaii, USA, July 6-12, 2003, (1) Potential Field Source Surface Models: A Comparative Study, (2) Source Regions of Broadside Coronal Mass Ejections Associated with Microwave Prominence Eruptions.
AGU Spring Meeting, Boston, MA, May 29-31, 2001, Noise in Wireless Systems Produced by Solar Radio Bursts.
SHINE Workshop, Lake Tahoe, Nevada, USA, June 14-17, 2000, On the Solar Wind Acceleration: Comparison of IPS Measurements with Models and Satellite Observations.
Chapman Conference on Space Weather: Progress and Challenges in Research and Applications, Tampa, Florida, USA, March, 20-24, 2000, On the Functional Relation of Solar Wind Velocity with Solar Longitude.
AGU Fall Meeting, San Francisco, CA, USA, December 13-17, 1999, Latitudinal Profile of the Solar Wind Velocity - A Prediction for the Coming Solar Maximum.
SHINE Workshop, Boulder, Colorado, USA, June 14-17, 1999, Slow Solar Wind and the Heliospheric Current Sheet.
ISCS Meeting, Nagoya, Japan, July 11, 1998: in connection with 32nd COSPAR Meeting, Nagoya, Japan, July 12-16, 1998, Distortion of heliospheric current sheet due to the azimuthal gradient of solar wind velocity on it - Initial results.

Seminars and Invited Talks

LASP, University of Colorado, Boulder, CO, 22 February 2018 Artificial Intelligence In Space Weather Prediction: Emerging Trends
NOAA, Boulder, CO,18 January 2018 Space Weather Prediction: Preliminary Results Using Machine Learning Techniques
NASA, Goddard Space Flight Center,Greenbelt, MD, 2 October 2017 ON THE MATHEMATICAL DEPICTION OF THE SOLAR WIND SPEED--SOLAR MAGNETIC FIELD RELATIONSHIP
NOAA,Boulder, CO, 30 June 2016 Influence of Changing Magnetic Field on Solar Wind Outflow
University of Finnland, Oulu 28 October 2014 Space Weather and the Current Sheet Source Surface (CSSS) Model
NOAA,Boulder, CO, 10 July 2014 Validating Solar Wind Prediction Using the Current Sheet Source Surface Model.
NASA, GSFC, Greenbelt, MD 1 May 2014 Validating Solar Wind Prediction Using the Current Sheet Source Surface Model.
HAO Colloquium 9 January 2013 Point--Spread Functions for AIA and EUVI Telescopes.
MIT Haystack Observatory, Westford, MA, 23 April 2008 Solar Wind Structure in the Heliosphere: A Solar Perspective of Space Weather
National Institute of Aerospace, Hampton, VA, 8 August 2007 Space Weather Prediction: Role of Potential Field Source Surface Model and Its Limitations