Department of Computer Science and Engineering

Department - Faculty and Staff

Anya Getman

Anya Getman Research Associate Professor
(313)478-2614
anya@cse.unr.edu

Ph.D. 1995, SUNY Watson School, Binghamton, NY
M.S. 1992, B.S. 1988, Rensselaer Polytechnic Institute

Research Interests

Developing and implementing automation, sensor fusion, nonlinear modeling, controllers and user-friendly interfaces which isolate, track, diagnose, and predict incomplete or corrupted real-time signals in uncertain environments. Tools have included statistics, neural networks, fuzzy logic, genetic algorithms, deterministic chaos, wavelets, stochastic Petri nets, frequency clustering, and intelligent agents. She has implemented solutions for semiconductors, military, plastics, aerospace, transportation, medical, energy, mining, infrastructure, and anyone with vulnerable software or hardware.

Professional Experience

  • 2009 - Pres -- Research Associate Professor
      Dept of Comp. Science and Engineering, University of Nevada, Reno, NV
  • 2006 - 2009 -- Senior Engineer/ Group Leader/ Six Sigma Blackbelt
      Caterpillar Technical Center, Mossville, IL
  • 1994 - 2006 -- Research Engineer/ Technical Specialist/ Technical Expert
      Ford Research and Innovation Center/Emissions Laboratories, Dearborn, MI
  • 1991 - 1991 -- Manufacturing and Methods Engineer
      GE Aerospace, Binghamton, NY
  • 1988 - 1990 -- Equipment Engineering Group Leader
      IBM General Technology Division, East Fishkill, NY
  • 1987 - 1987 -- Engineering Resin Design and Manufacturing Engineer (Co-op)
      GE Plastics Headquarters, Pittsfield, MA
  • 1984 - 1986 -- T.J. Watson Memorial Scholarship Summer Intern
      IBM Federal Systems, Owego and Vestal, NY

Courses Taught

  • Fall 2009: CS691S - Neural Networks

Representative Publications

A. Getman, C. Cooper, G. Key, H. Zhou and N. Frankle (2009). "Detection of Mobile Machine Damage Using Accelerometer Data and Prognostic Health Monitoring Techniques," Paper #15026 in Computational Intelligence in Vehicles and Vehicular Systems, IEEE Workshop on CIVVS/SSCI '09.

Getman, H., Zhou, and S.D. Jammalamadaka (2007). "An Automated Network for Detecting Diesel Engine Misfire," Application of Modern Machine Learning Methods to Improving Performance and Efficiency of Automotive Systems, IEEE IJCNN, page 3017-3021.

A. Tascillo (2001). "Predicting cylinder pressure for on-vehicle control," US patent 6272426, referenced by 6484694, 6553305, 6557528, 6827061, 6782737, 7063071, 7142975, 7349796, http://www.patentbuddy.com/patentdetails/1622349.

J. Cheng, S. LaCrosse, A. Tascillo, C. Newman, and G. Davis (2001). "Virtual vehicle sensors based on neural networks trained using data generated by simulation models," US Patent 6236908, http://www.patentbuddy.com/patentdetails/2023657.

A. Tascillo and M. Tascillo (1998). "System and method for distinguishing and characterizing motor vehicles for control of automatic drivers," US patent 5761626, referenced by 6014447, 6314342, 6807448, 6811515, 7054727, 7058488, http://www.freepatentsonline.com/5761626.html

P. Macneille, A. Shaffer, and A. Getman (2009). "Trailer Oscillation Detection and Compensation Method For A Vehicle And Trailer Combination," US patent 20090093928, http://www.faqs.org/patents/app/20090093928.

A. Shaffer, R. Miller, D. Raceu, G. Aulakh, A. Getman, and D. Dimeo (2007). "Centralized Image Processing For An Automobile With A Navigation System," US patent 20070233361, http://www.freepatentsonline.com/y2007/0233361.html.

R. Miller and A. Tascillo (2004). "Blind spot warning system for an automotive vehicle," US Patent 20040085196, http://www.freepatentsonline.com/y2004/0085196.html.

R. Miller, I. Salmeen, D. Dimeo, and A. Tascillo (2002). "Method and apparatus for activating a crash countermeasure in response to the road condition," US Patent 6480102, http://www.freepatentsonline.com/6480102.html.

N. Bourbakis and A. Tascillo (1997). "An SPN-Neural Planning Methodology for Coordination of two Robotic Hands with Constrained Placement," Journal of Intelligent and Robotic Systems 19(3):321-337.

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