Education

Ph.D., Statistics, University of Groningen (The Netherlands),1999
M.A., Mathematics, Oregon State University, 1994
M.S., Statistics, Mathematical Research Institute (The Netherlands), 1993
B.S., Mathematics, University of Groningen (The Netherlands), 1992

Biography

2017 – Present Professor at University of Alaska Anchorage

2011 – 2017 Associate Professor at University of Alaska Anchorage

2007 – 2011 Assistant Professor at University of Alaska Anchorage

2004 – 2007 Visiting Professor at Idaho State University

2000 – 2004 Assistant Professor at Boise State University

1999 – 2000 Visiting Professor at Boise State University

Teaching Responsibilities

• STAT A200: Elementary Statistics
• STAT A253: Applied Statistics for the Sciences
• STAT A307: Probability and Statistics
• STAT A308: Intermediate Statistics for the Sciences
• STAT A402: Scientific Sampling
• STAT A403: Regression Analysis
• STAT A404: Analysis of Variance
• STAT A407: Time Series Analysis
• STAT A411: General Statistics and Regression
• STAT A602: Advanced Scientific Sampling
• STAT A603: Advanced Regression Analysis
• STAT A604: Advanced Analysis of Variance
• STAT A607: Advanced Time Series Analysis
• STAT A611: General Statistics for Data Science

Professional & Department Service

Statistical Consultant at UAA

- Collaborated in research projects with:

• UAA Alaska Justice Information Center
• UAA Center for Human Development
• UAA Department of Anthropology
• UAA Department of Biological Sciences
• UAA Department of Civil Engineering
• UAA Department of Computer Science and Engineering
• UAA Department of English
• UAA Department of Geography and Environmental Studies
• UAA Department of Health Sciences
• UAA Department of Physics and Astronomy
• UAA Resilience and Adaptive Management Group

Statistical Consultant outside UAA

- Statistics expert witness in several court cases in Alaska

- Worked on consulting projects with:

• Alaska Bar Association
• Alaska Center for Conservation Science
• Alaska Children’s Services Inc.
• Alaska Department of Transportation & Public Facilities
• Alaska Dispatch News
• Alaska Division of Elections
• Alaska Division of Public Health
• Alaska Experimental Program to Stimulate Competitive Research
• Alaska Native Epidemiology Center
• Alaska Native Medical Center
• Alaska Native Tribal Health Consortium
• Alaska Public Defender Agency
• Aleut International Association
• Anchorage Centers for Disease Control and Prevention
• Arc of Anchorage
• Arctic Domain Awareness Center
• Chancy Croft Law Offices
• Chickaloon Village Traditional Council
• ConocoPhillips
• Crowther Associates
• Eagle River Nature Center
• Goff Law LLC
• International Arctic Research Center
• Law Firm Schwabe, Williamson & Wyatt
• Mat-Su Borough School District
• Northern Justice Project
• Providence Alaska Medical Center
• State of Alaska - Attorney General Office
• United Parcel Service, Inc.
• U.S. Attorney’s Office Anchorage
• Wild North Resources LLC

Editorial board member for:

• Advances in Probability, Stochastic Processes and Applied Statistics
• American Journal of Theoretical and Applied Statistics
• Austin Journal of Mathematics
• International Journal of Management Statistics, Control and Applications
• JP Journal of Biostatistics
• Sci. Med. - Mathematics and Statistics

Reviewer for:

• Sci. Med. - Mathematics and Statistics
• Neural Processing Letters
• Publishers Wiley, McGraw-Hill, and Chapman & Hall/CRC Press

Served on:

• UAA Engineering/Mathematics Undergraduate Research Grant Panel
• UAA Faculty Grants and Leaves Committee
• UAA Faculty Senate
• UAA Library Advisory Committee
• UAA University Technology Council
• Peer-Review Committees, Scholarships Committees, and Search Committees

Member of the American Mathematical Society and American Statistical Association

Research Interests

• Applied Statistics
• Probability Theory
• Neural Networks
• Stochastic Processes
• Time Series Prediction
• Regression Analysis

Publications

[1] R.S. Venema. Sufficient conditions for ergodicity of the single-layer perceptron weight sequence in infinite non-separable classification problems. Advances and Applications in Statistics, Vol. 87, No. 2 (pp. 237-254), 2023

[2] H. Jamil, T. Minckley, C. Xu, N. Hassan, R.S. Venema, L. Sheneman, B. Robison, J.T. Abatzoglou, L. Boschetti, A. Smith, A. Kliskey, M. Overton, and K. Lee. Computational modeling of public policy debates over socio-economic implications of wildfires using autonomous big data analytics. Concept paper to apply to the NSF EPSCoR RII Track 2 Grant Program, October 2018

[3] P. Williams, L. Alessa, J.T. Abatzoglou, A. Kliskey, F. Witmer, O. Lee, E.J. Trammell, G. Beaujean, and R.S. Venema. Community-based observing networks and systems in the Arctic: Human perceptions of environmental change and instrument-derived data. Regional Environmental Change, Vol. 18, No. 2 (pp. 547-559), 2018 (https://doi.org/ 10.1007/s10113-017-1220-7)

[4] S. Raza, G.H. Bham, and R.S. Venema. The effect of passing lanes on drivers’ choice of speed: A seemingly unrelated regression approach. Road Safety and Simulation International Conference RSS’17. The Hague, The Netherlands, October 2017

[5] P. Williams, E.J. Trammell, F. Witmer, R.S. Venema, A. Kliskey, G. Beaujean, and L. Alessa. Understanding observations of selected environmental changes in communities surrounding the Bering Sea. Third Arctic Observing Summit AOS’16 (White Paper - Theme VI, pp. 1-21). Fairbanks, AK, March 2016

[6] R.S. Venema. Geometric ergodicity of the normalized perceptron algorithm for the classification of non-separable Gaussian input vectors. Advances and Applications in Statistics, Vol. 46, No. 1 (pp. 37-55), 2015

[7] P.M. Lang, A. Gironella, and R.S. Venema. Invariant subspaces and regression. Communications in Statistics – Theory and Methods, Vol. 42, No. 3 (pp. 491-504), 2013

[8] P.M. Lang, A. Gironella, and R.S. Venema. Properties of cyclic subspace regression. Journal of Multivariate Analysis, Vol. 98, No. 3 (pp. 625-637), 2007

[9] R.S. Venema, L. Spaanenburg, C.H. Slump, and B.J. van der Zwaag. Structuring techniques in neural networks for knowledge extraction. Artificial Neural Networks in Engineering ANNIE'03. St.Louis, MO, 2003

[10] R.S. Venema. Perceptron algorithms for the classification of non-separable populations. Hawaii International Conference on Statistics HICS'03 (ISSN # 1539-7211). Honolulu, HI, 2003

[11] R.S. Venema. Statistical techniques for training modular neural networks. Hawaii International Conference on Statistics HICS'03 (ISSN # 1539-7211). Honolulu, HI, 2003

[12] L. Spaanenburg, C.H. Slump, R.S. Venema, and B.J. van der Zwaag. Preparing for knowledge extraction in modular neural networks. 3rd IEEE Signal Processing Symposium SPS'02 (pp. 121-124). Leuven, Belgium, 2002

[13] R.S. Venema and L. Spaanenburg. Learning feed-forward multi-nets. 5^th International Conference on Artificial Neural Networks and Genetic Algorithms ICANNGA'01 (pp. 102-105). Prague, Czech Republic, 2001

[14] R.S. Venema. A time series forecasting methodology for neural networks. V-Annals (pp. 127-146). Shaker Publishing. Stuttgart, Germany, 2001

[15] R.S. Venema. Aspects of an integrated neural prediction system. Ph.D. Thesis, University of Groningen, ISBN 90-367-1082-0 (309 pages), 1999

[16] R.S. Venema, J. Bron, R.M. Zijlstra, J.A.G. Nijhuis, and L. Spaanenburg. Using neural networks for wastewater purification. Computer Science for Environmental Protection'98: Networked Structures in Information Technology, the Environment and Business (pp. 317-330). Metropolis-Verlag. Marburg, Germany, 1998

[17] M. Diepenhorst, H. ter Haseborg, R.S. Venema, J.A.G. Nijhuis, and L. Spaanenburg. Flexible core generation for neural signal processing. IEEE International Joint Conference on Neural Networks IJCNN'98 (pp. 603-608). Anchorage, AK, 1998

[18] R.S. Venema, M. Diepenhorst, J.A.G. Nijhuis, and L. Spaanenburg. Designing ANN forecasting architectures from data conflict plots. IEEE International Joint Conference on Neural Networks IJCNN'98 (pp. 2519-2524). Anchorage, AK, 1998

[19] R.M. Burton, H.G. Dehling, and R.S. Venema. Perceptron algorithms for the classification of non-separable populations. Communications in Statistics - Stochastic Models, Vol. 13, No. 2 (pp. 205-222), 1997

[20] M. Diepenhorst, J.A.G. Nijhuis, R.S. Venema, and L. Spaanenburg. Growing filters for finite impulse response networks. Applications in Artificial Intelligence, Advanced Manufacturing Forum 1 (pp. 281-291). Scitec Publications. Zurich, Switzerland, 1996

[21] J.A.G. Nijhuis, M.H. ter Brugge, K.A. Helmholt, J.P.W. Pluim, L. Spaanenburg, R.S. Venema, and M.A. Westenberg. Car license plate recognition with neural networks and fuzzy logic. Applications in Artificial Intelligence, Advanced Manufacturing Forum 1 (pp. 229-236). Scitec Publications. Zurich, Switzerland, 1996

[22] R.S. Venema, A. Ypma, J.A.G. Nijhuis, and L. Spaanenburg. Time series prediction using neural networks and its application to artificial human walking. European Symposium on Artificial Neural Networks ESANN'96 (pp. 323-328). Bruges, Belgium, 1996

[23] R.S. Venema, A. Ypma, J.A.G. Nijhuis, and L. Spaanenburg. Neural control of artificial human walking: a structured approach. International Information Technology Conference Gronics '96 (pp. 55-60). Groningen, The Netherlands, 1996

[24] R.S. Venema, J.A.G. Nijhuis, and L. Spaanenburg. Designing neural networks for time series prediction with an application to artificial human walking. IEEE Workshop on Circuits, Systems and Signal Processing CSSP'96 (pp. 361-366). Mierlo, The Netherlands, 1996

[25] R.S. Venema, A. Ypma, J.A.G. Nijhuis, and L. Spaanenburg. On the use of neural networks in time series prediction with an application to artificial human walking. World Congress on Neural Networks WCNN'96 (pp. 451-454). San Diego, CA, 1996

[26] R.M. Burton, H.G. Dehling, and R.S. Venema. Perceptron algorithms for the classification of non-separable populations. Technical Report W-9608, University of Groningen, 1996

[27] W.J. Jansen, R.S. Venema, M.H. ter Brugge, M. Diepenhorst, J.A.G. Nijhuis, and L. Spaanenburg. Stability properties of fuzzy controllers. Journal A, Vol. 36, No. 3 (pp. 27-37), 1995

[28] W.J. Jansen, R.S. Venema, M.H. ter Brugge, M. Diepenhorst, J.A.G. Nijhuis, and L. Spaanenburg. Stabiliteit van fuzzy regelaars. Nieuwsbrief Fuzzy Logic Nederland Vol. 1, No. 4 (pp. 34-40), 1995

[29] M. Diepenhorst, J.A.G. Nijhuis, R.S. Venema, and L. Spaanenburg. Growing filters for finite impulse response networks. International Conference on Neural Networks ICNN'95 (pp. 854-859). Perth, Australia, 1995

[30] J.A.G. Nijhuis, M.H. ter Brugge, K.A. Helmholt, J.P.W. Pluim, L. Spaanenburg, R.S. Venema, and M.A. Westenberg. Car license plate recognition with neural networks and fuzzy logic. International Conference on Neural Networks ICNN'95 (pp. 2232-2236). Perth, Australia, 1995

[31] M. Diepenhorst, J.A.G. Nijhuis, R.S. Venema, and L. Spaanenburg. Growing filters for finite impulse response networks. 4th Portuguese Conference on Artificial Intelligence EPIA'95 (pp. 89-100). Madeira, Portugal, 1995

[32] J.A.G. Nijhuis, M.H. ter Brugge, K.A. Helmholt, J.P.W. Pluim, L. Spaanenburg, R.S. Venema, and M.A. Westenberg. Car license plate recognition with neural networks and fuzzy logic. 4th Portuguese Conference on Artificial Intelligence EPIA'95 (pp. 25-34). Madeira, Portugal, 1995