Scott C. Evans

Scott C. Evans

Adjunct Professor
College of Nanotechnology, Science, and Engineering
Department of Electrical & Computer Engineering
Education

PhD Electrical Engineering, Rensselaer Polytechnic Institute, 2003

MS Electrical Engineering, University of Connecticut, 1998

BS Electrical Engineering, Math Minor, Summa Cum Laude, Virginia Tech, 1990

Scott C. Evans
About

Dr. Scott C. Evans is a ​Principal Scientist Machine Learning​ at GE Research in Niskayuna, NY. He has 49 issued patents and over 50 publications in the areas of Machine Learning algorithms, wind analytics, cybersecurity, sequence analysis, and wireless network routing / Quality of Service (QoS). Before joining General Electric Research, Scott served as a nuclear-trained Submarine Officer in the United States Navy.

 

Research Interests

Causal Inference Based Feature Selection via Algorithmic Information Theory

Machine Learning and Analytics for Wind Power and Cyber-Security

Minimum Description Length Data Mining and Time Series Analysis

Complexity Based Intrusion Detection Systems

Route Based Network Quality of Service Technologies

Minimum Description Length DNA Sequence Analysis – MDLcompress

Low Power Multi-Hop Wireless Sensor Network Protocols

 

Publications

Goldfarb, D., and Evans, S., “​Causal Inference via Conditional Kolmogorov Complexity Using MDL Binning,” Proceedings, Machine Learning and Data Mining in Pattern Recognition, Petra Perner, Ed, 16th International Conference on Machine Learning and Data Mining, MLDM 2020.

Evans, S., Zhang, Z., Iyengar, S., Gregg, P., Jonkhof, M., “Wind Farm Performance Validation through Machine Learning: Sector-wise Honest Brokers,” IEEE Aerospace Conference, Big Sky Montana, March, 2015.   ​http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7119130

Evans, S. C., Zhang, Z., Iyengar, S., Chen, J., Hilton, J., Gregg, P., Eldridge, D., Jonkhof, M., McCulloch, C., “Towards Wind Farm Performance Optimization through Empirical Models,” 2014 IEEE Aerospace Conference, Big Sky Montana, March 3-7 2014

Evans, S. C., Mishra, P., Yan, W. and Bouchra Bouqata, “Security Prognostics: Cyber Meets PHM,” 2013 IEEE International Conference on Prognostics and Health Management, Gaithersburg, MD, June 24-27 2013

Deb, Budhaditya, Shah, Mohak, Evans, S. C., Mehta, Manoj, Gargulak, Anthony, Lasky, Tom, “Towards System Level Prognostics in the Cloud: Assuring Availability and Quality of Service of Cloud hosted Systems,” 2013 IEEE International Conference on Prognostics and Health Management, Gaithersburg, MD, June 24-27 2013

Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans, “MDL-based time series clustering,” Knowledge and Information Systems Journal, Vol 32, No. 3, September 2012

Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, and Eamonn Keogh (2011). “Discovering the Intrinsic Cardinality and Dimensionality of Time Series using MDL,” ICDM 2011

Thanawin Rakthanmanon, Eamonn Keogh, Stefano Lonardi, and Scott Evans (2011). “Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data,” ICDM 2011

Evans, S. C., Markham, T. S., Bejtlich, R., Barnett, B., Scholz, B., Mitchell, R., and Yan, W. Impson, J. and Steinbrecher, E., "Network Attack Visualization and Response Through Intelligent Icons", Proceedings of MILCOM 2009, Boston Mass, October 2009

Evans, S. C., Yan, W. Scholz, B. J., Barnett, B., Markham, T. S., Impson, J., and Steinbrecher,

“Towards Modeling and Detection of Polymorphic Network Attacks Using Grammar Based Learning with Support Vector Machines,” Proc. of MILCOM 2009, Boston, October 2009.

Markham, T. S., Evans, S. C., Impson, J. and Steinbrecher, E., “Implementation of an Incremental MDL-Based Two-Part Compression Algorithm for Model Inference,” Data Compression Conference, 2009

Eiland, E., Evans, S.C., Markham, T. S., Barnett, B., Impson, J. and Steinbrecher, E., “Network Intrusion Detection: Using MDLcompress for Deep Packet Inspection,” MILCOM 2008

Evans, S. C., Bejtlich, R., Markham, T. S., Impson, J., and Steinbrecher, E., “Towards Zero-Day Attack Detection through Intelligent Icon Visualization of MDL Model Proximity”, VizSec 2008,

Deb, B. Evans, S.C. Tomlinson, H.W. Iyer, S. Kuthethoor, G, “Quality of Service in Wireless Sensor Networks through the Connectionless Scheduling Protocol,” IEEE Aerospace Conference, Big Sky, Montana 2008​,

Evans, S. C., Kourtidis, A., Markham, T. S., Miller, J., Conklin, D, and Torres, A. “microRNA Target Detection and Analysis for Genes Related to Breast Cancer Using MDLcompress,” EUROSIP Journal on Bioinformatics and Systems Biology, Special issue on Information Theoretic Methods for Bioinformatics, Vol 2007, Article ID 43670

Evans, S. C., Eiland, E., Markham, T. S., Impson, J., and Laczo, A., “MDLcompress for Intrusion Detection: Signature Inference and Masquerade Attack,” MILCOM, October 2007

Liu, P. Evans, S. C., and Weerakoon, I., “Multimedia QoS through Content Aware Triage: An Integrated DiffServ Framework,” MILCOM 2007, Orlando, FL, October 2007

Evans, S. C​., ​Markham, T. S., Liu, P., and Weerakoon, I. “Network Quality of Service through Local Adaptive Provisioning (LAP),”​ ​MILCOM 2007, Orlando, FL, October 2007

Evans, S. C., Markham, T. S., Torres, A, Kourtidis, A., Conklin, D., “An Improved Minimum Description Length Learning Algorithm for Nucleotide Sequence Analysis,” Proceedings of Asilomar Conference on Signals, Systems and Computers, November 2006.

Evans, S. C., Liu, P., Rothe, A., Goebel, K., Yan, W., Weerakoon, I., and Egan, M.  “Adaptive Statistical QoS: Learning Parameters to Maximize End-to-End Network Goodput,” MILCOM 2006, Washington D.C., October 2006.

Van Stralen, N, Imer, O, Mitchell, R, Evans, S. C. and Iyer, S., "A Multi-Band Random Access Messaging Protocol," MILCOM 2006,

Evans, S. C., Torres, A. and Miller, J., “MicroRNA Target Motif Detection and Analysis using The Optimal Symbol Compression Ratio (OSCR) Minimum Description Length Grammar Inference Algorithm,” GE Research Technical Report 2006GRC223, March 2006.

Evans, S. C., Van Stralen, N., Hershey, J. and Tomlinson, H.  “Energy Minimization in Wireless Sensor Networks Through an Adaptive Connectionless Scheduling Protocol,” MILCOM 2005, Atlantic City, NJ, October 2005.

Evans, S. C., Liu, P., Hartman, M., Egan, M. and Weerakoon, I., “End-to-End QoS through Distress Biased Services: A Triage Approach” MILCOM 2005, Atlantic City, N.J.  Oct 2005.

Evans, S., Pearlman, M., Hartman, M., Rothe, Egan, M. and Leiva, M., “Route Based QoS and The Biased Early Drop (BED) Algorithm,” The Second International Conference on Quality of Service and Heterogeneous Wired/Wireless Networks, QSHINE 2005, Orlando, August, 2005.

Liu, P., Evans, S., and Weerakoon, I.  “Modeling and Simulation of End-to-End QoS through Distress Biased Differentiated Service in OPNET,” OPNETWORK 2005.

Abrams, M., Bonissone, P., Evans, S. C., Garbiras, M, Goebel, K., Hoebel, L. and Edwards, G. “Information Processing for Crisis Response in a Publish and Subscribe Information Environment,” GE Research Technical Report 2004GRC383, November 2004.

Evans, S. C., Barnett, B., Bush, S. F. and Saulnier, G. J., “Minimum Description Length Principles for Detection and Classification of FTP Exploits,” MILCOM, Monterrey, CA. Oct

Nov 3, 2004.

Evans, S. C., Van Stralen, N., “Energy Minimization in Wireless Sensor Networks through a Connectionless Scheduling Protocol,” GE Research Technical report 2004grc240, July 2004.

Evans, S. C. PhD Thesis, “Kolmogorov Complexity Estimation and Application for Information System Security,” Rensselaer Polytechnic Institute, Troy, NY, July 2003.

Evans, S. C., Bush, S. F., and. Saulnier, G. J.  “A New Universal Compression Algorithm and Estimator of Algorithmic Minimum Sufficient Statistic,” DIMACS workshop on Complexity and Inference, June, 2003 ​http://www.stat.ucla.edu/~cocteau/dimacs/evans.pdf

Evans, S. C., Hershey, J. E., and Saulnier, G. J. “Kolmogorov Complexity Estimation and Analysis,” SCI 2002, Orlando, FL.

Evans, S. C. Barnett, B.  “Conservation of Complexity for Network Security”, MILCOM 2002, October 7-10, 2002, Anaheim CA.

Evans, S. C. and Hershey, J. E. “A Two-Stage Complexity Estimator,” GE Research Technical Report 2002GRC197, August, 2002.

Evans, S. C, and Bush, S. F. ``Symbol Compression Ratio for String Compression and Estimation of Kolmogorov Complexity,” GE Research Technical Report 2001CRD159, November 2001.

Kulkarni, A. B., Bush, S. F. and Evans, S. C. ``Detecting Distributed Denial-of-Service Attacks using Kolmogorov Complexity Metrics," GE Research Technical Report 2001CRD176 December 2001.

Bush, S. F., and Evans, S. C., “Kolmogorov Complexity for Information Assurance.”  GE Research Technical Report 2001CRD148, October, 2001

Bush, S. F., and Evans, S. C., “Complexity Based Information Assurance.”  GE Research Technical Report 2001CRD084, October, 2001

Evans, S, Bush, S. F., and Hershey, J., “Information Assurance through Kolmogorov Complexity”, DARPA Information Survivability Conference & Exposition II, June 2001, Anaheim, CA. Proc Vol. 2, pp 322-331.

Bush, S.F, Kulkarni, A, Evans, S. C. and Hershey, J., “Active Networks for GE Businesses,” GE Research Technical Report 2000CRD052, June 2000

Evans, S. C. and Tong, L.  “On-Line Adaptive Re-initialization of the Constant Modulus Algorithm,” IEEE Transactions on Communications, vol. 48, no. 4, pp. 537-539, Apr., 2000.

Evans, S.C. and Hershey, J.E. “Regarding Some GE-owned Intellectual Property for Enabling Residential Power Line Communications Using Ground-Neutral Circuits,” GE Research Technical Report 2000CRD008, February 2000.

Bush, S. F., Kulkarni, A., Evans, S. C., and Gallup, L., “Active Jitter Control,” 7th International IS&N Conference, Intelligence in Services and Networks (ISN) '00, February 23-25, 2000, Kavouri, Athens, Greece

Evans, S. C.  M.S. Thesis, “Adaptive Re-initialization of the Constant Modulus Algorithm,” The University of Connecticut, Storrs, CT. May 1998.

Evans, S. C. and Lang Tong, “Adaptive Channel Surfing Re-initialization of the Constant Modulus Algorithm.”  31st Asilomar Conference on Signals Systems and Computers, Nov 1997.

 

Patents

Bush, S.F, Kulkarni, A, Evans, S. C. and Hershey, J., “Active Networks for GE Businesses,” GE Research Technical Report 2000CRD052, June 2000

Evans, S. C. and Tong, L.  “On-Line Adaptive Re-initialization of the Constant Modulus Algorithm,” IEEE Transactions on Communications, vol. 48, no. 4, pp. 537-539, Apr., 2000.

Evans, S.C. and Hershey, J.E. “Regarding Some GE-owned Intellectual Property for Enabling Residential Power Line Communications Using Ground-Neutral Circuits,” GE Research Technical Report 2000CRD008, February 2000.

Bush, S. F., Kulkarni, A., Evans, S. C., and Gallup, L., “Active Jitter Control,” 7th International IS&N Conference, Intelligence in Services and Networks (ISN) '00, February 23-25, 2000, Kavouri, Athens, Greece

Evans, S. C.  M.S. Thesis, “Adaptive Re-initialization of the Constant Modulus Algorithm,” The University of Connecticut, Storrs, CT. May 1998.

Evans, S. C. and Lang Tong, “Adaptive Channel Surfing Re-initialization of the Constant Modulus Algorithm.”  31st Asilomar Conference on Signals Systems and Computers, Nov 1997.

 

Awards and Honors

GE Research award for 50 publications (2018)

GE Research Dushman Team Award for GE Capital Stress Testing Analytics (2016)

GE Renewables “Best of the Best” Award for PowerUp Wind Services tenX team (2014)

GE Research Award for 25 Issued Patents (September 2013)

GE Research Technical Excellence Award (September 2010)

GE Energy Power And Water Innovation Challenge Grant (2010)

Lockheed Martin Shared Vision Excellence in Research Award (2009)

GE Research Publication award in 2006 for 25 publications

GE Technical Leadership (Edison) Program Corporate Recognition Award (December 1998)

Navy Achievement Medals: Navy Commendation Medal and NATO Medal for superior military service