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Nian Zhang, PhD

Assistant Professor

Department of Electrical and Computer Engineering
nzhang@udc.edu; 202.274.6615

Research Interests: Dr. Zhang's research expertise and interests include computational intelligence, machine learning and data mining, and various application fields including big data science, class imbalance problem, time series prediction, biomedical engineering, and autonomous robot navigation. Her long term goal is to advance the foundations and principles of imbalanced learning, enhance the quality of undergraduate STEM education and research, and broaden participation in the nation’s STEM workforce and STEM graduate programs.

Career in Brief: Dr. Zhang received her B.S. degree (with honor) in Electrical Engineering from Wuhan University of Technology, M.S. degree in Electrical Engineering from Huazhong University of Science and Technology, and Ph.D. in Computer Engineering from Missouri University of Science and Technology. Her Ph.D. advisor is Dr. Donald C. Wunsch II, Mary K. Finley Missouri Distinguished Professor, Missouri University of Science & Technology.

Externally Funded Projects:

Nian Zhang (Sole PI), “An Intelligent Optimization, Clustering and Classification Framework for High Dimensional, Overlapped Classes, and Imbalanced Data,” National Science Foundation. 2015 – 2017. $200K.

Lara Thompson, Nian Zhang (Co-PI), and Sasan Haghani, “Integration, Cultivation, and Exposure to Biomedical Engineering at the University of the District of Columbia,” National Science Foundation. 2015 – 2018. $400K.

Nian Zhang (PI), Esther Ososanya, and Wagdy Mahmoud, “U.S. - China Planning Visit: Collaborative Research on Computational Intelligence Systems in Renewable Energy Engineering Applications,” National Science Foundation. 2011.

Publications
Edited Book
Wen Yu, Haibo He, Nian Zhang, Editors, “Advances in Neural Networks - ISNN 2009,” Berlin: Springer, 2009. (ISBN: 9783642015069) 

Selected Journal Papers

  1. Nian Zhang and Devdas Shetty, “An Effective LS-SVM Based Approach for Surface Roughness Prediction in Machined Surfaces,” Neurocomputing. (Accepted)
  2. Nian Zhang, Tilaye Alemayehu, Pradeep Behera, “Nonlinear Autoregressive (NAR) Forecasting Model for Potomac River Stage Using Least Squares Support Vector Machines (LS-SVM)”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 4, no. 9, pp. 1-9, 2015.
  3. Nian Zhang, Roussel Kamaha, and Pradeep Behera “Prediction of Surface Water Supply Sources for the District of Columbia Using Least Squares Support Vector Machines (LS-SVM) Method,” Advances in Computer Science : an International Journal, vol. 4, no.1, pp. 1-9, 2015.
  4. Nian Zhang, Charles Williams, and Pradeep Behera, “Water Quantity Prediction Using Least Squares Support Vector Machines (LS-SVM) Method,” Journal of Systemics, Cybernetics and Informatics, vol. 12, no. 4, pp. 53-58, 2014.
  5. Kiwon Park and Nian Zhang, “Duel Fuzzy Logic Controllers Design for Autonomous Robot Navigation,” International Journal of Systems, Control and Communications (IJSCC), vol. 3, no. 3, pp. 322-329, 2011.
  6. Nian Zhang and Qian Ding, “Classification of Recorded Musical Instrument Sounds Using Neural Networks,” International Journal of Information Technology and Intelligent Computing, vol. 2, no. 3, November 2007.
  7. Xindi Cai, Nian Zhang, Ganesh Kumar Venayagamoorthy, and Donald C. Wunsch II, “Time Series Prediction with Recurrent Neural Networks Trained by a Hybrid PSO-EA Algorithm,” Neurocomputing, vol. 70, no. 13-15, pp. 2342-2353, August 2007.
  8. Nian Zhang and Donald C. Wunsch II, “Speeding up VLSI Layout Analysis and Verification Using Fuzzy Attributed Graph Approach,” IEEE Transactions on Fuzzy Systems, vol. 14, no. 6, pp. 728-737, December 2006.
  9. Nian Zhang, Donald C. Wunsch II, and Frank Harary, “Subcircuit Extraction Problem,” IEEE Potentials, vol. 22, no. 3, pp. 22-25, August/September 2003.
  10. Xin Chen, Guangjun Peng, and Nian Zhang, “Research on Non-destructive Testing Technique of Compactizing Quality in Compacted  Graphite Cast Iron,” Journal of Wuhan Automotive Polytechnic University, vol. 21, no. 2, pp. 37-39, 1999.
  11. Xin Chen, Hui Zeng, and Nian Zhang, “Testing Techniques for the Effect of Al-Si Alloy Modification in Automobiles,” Journal of Wuhan Automotive Polytechnic University, vol. 21, no. 1, pp. 92-94, 1999.
  12. Xin Chen and Nian Zhang, “The Breakdown and Its Remove of Intermediate Frequency Induction Electric Furnace for Thyristor,” Journal of Wuhan Automotive Polytechnic University, vol. 20, no. 6, pp. 26-28, 32, 1998.
  13. Nian Zhang and Rongxiu Peng, “A Method of Data Compression of ECG Signals Based on the Neural Network,” Journal of the Graduate Students of the Huazhong University of Science and Technology, vol. 17, no. 1, pp. 66-72, 1998.
  14. Nian Zhang and Nengli Zhang, “Vector Cardiograph Analysis Instrumentation Based on the Windows Platform,” Journal of Wuhan Automotive Polytechnic University, vol. 19, no. 6, pp. 71-73, 1997.

Selected Conference Papers

  1. Francisco Lourenco, Nian Zhang and Sasan Haghani, “Prediction of Surface Water Supply Sources for the District of Columbia Using Neural Networks Methods,” ASEE Zone III Meeting 2015, Springfield, MO, USA, September 23-25, 2015. (Accepted)
  2. Tilaye Alemayehu, Nian Zhang, and Pradeep K. Behera, “Water Quality Classification of Potomac River Using Principal Component Analysis Method,” National Capital Region Water Resources Symposium, Washington, D.C., April 10, 2015.
  3. Roussel Kamaha and Nian Zhang, “Amelioration of an ECG Signal Using Noise Neutralizer Adaptive Filtering Algorithms,” The 72nd Joint Meeting BKX and NIS, Jackson, Mississippi, March 11-14, 2015.
  4. Roussel Kamaha and Nian Zhang, “Performance Study of Adaptive Filtering Algorithms for Noise Cancellation of ECG Signal,” 2015 Emerging Researchers National (ERN) Conference in STEM , Washington, D.C., February 19-21, 2015.
  5. Roussel Kamaha and Nian Zhang, “Investigation of Fault-Tolerant Adaptive Filtering for Noisy ECG Signals,” 2014 Annual Biomedical Research Conference for Minority Students (ABRCMS), San Antonio, Texas, November 12-15, 2014.
  6. Nian Zhang, Charles Williams, and Pradeep Behera, “Water Quantity Prediction Using Least Squares Support Vector Machines (LS-SVM) Method,” The 18th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2014), Orlando, Florida, July 15-18, 2014.
  7. Nian Zhang, Juan F.R. Rochac, Esther T. Ososanya, Wagdy H. Mahmoud, and Samuel Lakeou, “VLSI Design and Verification of a CMOS Inverter Using the Tanner EDA: A Case Study,” The 7th International Multi-Conference on Engineering and Technological Innovation (IMETI 2014),   Orlando, Florida, July 15-18, 2014.
  8. Nian Zhang, Charles Williams, Esther Ososanya, Wagdy Mahmoud, “Streamflow Prediction Based on Least Squares Support Vector Machines,” ASEE-2013 Mid-Atlantic Fall Conference, Washington, D.C., October 11-13, 2013.
  9. Wagdy H. Mahmoud and Nian Zhang, “Software/Hardware Implementation of an Adaptive Noise Cancellation System,” 120th ASEE Annual Conference & Exposition, Atlanta, GA, June 23-26, 2013.
  10. Nian Zhang, Pradeep K. Behera, and Charles Williams, “Solar Radiation Prediction Based on Particle Swarm Optimization and Evolutionary Algorithm Using Recurrent Neural Networks,” 2013 IEEE International Systems Conference (IEEE SysCon 2013) - Special Session "Cyber-Physical Systems and Autonomic Management", Orlando, Florida, April 15-18, 2013.
  11. Lalindra Jayatilleke and Nian Zhang, “Landmark-Based Localization for Unmanned Aerial Vehicles,” 2013 IEEE International Systems Conference (IEEE SysCon 2013) - Special Session "Cyber-Physical Systems and Autonomic Management", Orlando, Florida, April 15-18, 2013.
  12. Nian Zhang, Pradeep K. Behera, and Charles Williams, “Streamflow Prediction Based on Least Squares Support Vector Machine,” National Capital Region Water Resources Symposium, Washington D.C., April 5, 2013.
  13. Charles Williams and Nian Zhang, “Streamflow Prediction Based on Least Squares Support Vector Machine,” 2013 Emerging Researchers National (ERN) Conference in STEM, Washington, D.C., February 28-March 2, 2013.
  14. Shuhua Lai and Nian Zhang, “Image Hashing via Hough Transform,” 46th Annual Conference on Information Sciences and Systems (CISS 2012), Princeton, New Jersey, March 21-23, 2012.
  15. Lalindra Jayatilleke and Nian Zhang, “Landmark-Based Localization,” 2012 Emerging Researchers National (ERN) Conference in STEM, Atlanta, Georgia, February 23-25, 2012.
  16. Nian Zhang and Pradeep Behera, “Solar Radiation Prediction Based on Recurrent Neural Networks Trained by Levenberg-Marquardt Backpropagation Learning Algorithm,” The Third IEEE PES Conference on Innovative Smart Grid Technologies (ISGT 2012), Washington, D. C., January 16-20, 2012.
  17. Nian Zhang and Shuhua Lai, “Water Quantity Prediction Based on Particle Swarm Optimization and Evolutionary Algorithm Using Recurrent Neural Networks,” 2011 International Joint Conference on Neural Networks (IJCNN), San Jose, CA, July 31-August 5, 2011.
  18. Nian Zhang and Shuhua Lai, “Runoff Quantity Analysis of Urban Catchments Based on Neural Networks Method,” The IASTED International Symposia on Imaging and Signal Processing in Healthcare and Technology (ISPHT), Washington, DC, May 16-18, 2011.
  19. Nian Zhang, “Urban Stormwater Runoff Prediction Using Recurrent Neural Networks,” The Eighth International Symposium on Neural Networks (ISNN), Guilin, China, 2011.
  20. Nian Zhang, “Prediction of Urban Stormwater Runoff in Chesapeake Bay Using Neural Networks,” The Eighth International Symposium on Neural Networks (ISNN), Guilin, China, 2011.
  21. Nian Zhang, Roland Kamdem, Esther Ososanya, Wagdy Mahmoud, and Wenxin Liu, “VHDL Implementation of the Hybrid Fuzzy Logic Controllers with FPGA,” International Conference on Intelligent Control and Information Processing (ICICIP), 2010.
  22. Nian Zhang and Kiwon Park, “A Hybrid Fuzzy Logic Controllers for Complex Environment,” IEEE Conference on Networking, Sensing and Control (ICNSC), Chicago, IL, April 10-12, 2010.
  23. Kiwon Park and Nian Zhang, “Real-Time Fuzzy Logic Controllers for Autonomous Robot Navigation with U-Shaped Obstacles,” The Midwest Instruction and Computing Symposium (MICS), Rapid City, SD, April 17-18, 2009.
  24. Li Liu, Wenxin Liu, David A. Cartes, and Nian Zhang, “Real Time Implementation of Particle Swarm Optimization Based Model Parameter Identification and an Application Example,” 2008 IEEE World Congress on Computational Intelligence (WCCI), Hong Kong, June 1-6, 2008.
  25. Wenxin Liu, Li Liu, David A. Cartes, and Nian Zhang, “Adaptive Fuzzy Logic Based Power System Stabilizing Control,” The Eleventh World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI), Orlando, FL, July 8-11, 2007.
  26. Nian Zhang, “Investigation of Fault-Tolerant Adaptive Filtering for Noisy ECG Signals,” 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP), Honolulu, HI, pp. 177-182, April 1-5, 2007.
  27. Qian Ding and Nian Zhang, “Classification of Recorded Musical Instruments Sounds Based on Neural Networks,” 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP), Honolulu, HI, pp. 157-162, April 1-5, 2007.
  28. Kiwon Park and Nian Zhang, “Behavior-Based Autonomous Robot Navigation on Challenging Terrain: A Dual Fuzzy Logic Approach,” The First IEEE Symposium on Foundations of Computational Intelligence (FOCI'07), Honolulu, HI, pp. 239-244, April 1-5, 2007.
  29. Qian Ding, Nian Zhang, and Brian T. Hemmelman, “Classification of Recorded Musical Instrument Sound Using Neural Network,” Artificial Neural Networks in Engineering (ANNIE), St. Louis, MO, vol. 16, pp. 511-515, November 5-8, 2006.
  30. Kiwon Park, Nian Zhang, and Brian T. Hemmelman, “Behavior-Based Autonomous Robot Navigation on Challenging Terrain: A Fuzzy Logic Approach,” Artificial Neural Networks in Engineering (ANNIE), St. Louis, MO, vol. 16, pp. 155-160, November 5-8, 2006.
  31. Nian Zhang, Bernt Askildsen, and Brian T. Hemmelman, “Investigation of Adaptive Filtering for Noisy ECG Signals,” 2006 IEEE Mountain Workshop on Adaptive and Learning Systems, Logan, Utah, pp. 30-35, July 24-26, 2006.
  32. Nian Zhang and Donald C. Wunsch II, “Application of Collective Robotic Search Using Neural Network Based Dual Heuristic Programming (DHP),” The Third International Symposium on Neural Networks, Chengdu, China, pp. 1140-1145, May 28-June 1, 2006.
  33. Nian Zhang, Daryl Beetner, Donald C. Wunsch II, Brian Hemmelman, and Abul Hasan, “An Embedded Real-Time Neuro-Fuzzy Controller for Mobile Robot Navigation,” The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Reno, Nevada, pp. 319-324, May 22-25, 2005.
  34. Nian Zhang and Donald C. Wunsch II, “A Switched-Resistor Approach to Hardware Implementation of Neural Networks,” The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Reno, Nevada, pp. 336-340, May 22-25, 2005.
  35. Xindi Cai, Nian Zhang, Ganesh Kumar Venayagamoorthy, and Donald C. Wunsch II, “Time Series Prediction with Recurrent Neural Networks Using a Hybrid PSO-EA Algorithm,” INNS-IEEE International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, pp. 1647-1652, July 25-29, 2004.
  36. Nian Zhang and Donald C. Wunsch II, “VLSI Layout Verification with Neural Networks,” The Eighth International Conference on Cognitive and Neural Systems (ICCNS), Boston University, Boston, Massachusetts, May 19-22, 2004.
  37. Nian Zhang and Donald C. Wunsch II, “A Decision Tree Approach for Subcircuit Extraction Problem,” Artificial Neural Networks in Engineering (ANNIE), St. Louis, MO, vol. 13, pp. 921-926, November 2-5, 2003.
  38. Nian Zhang, “Practical Motivational Strategies and New Thoughts in Computer Engineering Laboratory,” The 38th ASEE Midwest Section Meeting, Rolla, MO, September 10-12, 2003.
  39. Nian Zhang and Donald C. Wunsch II, “A Comparison of Dual Heuristic Programming (DHP) and Neural Network Based Stochastic Optimization Approach on Collective Robotic Search Problem,” INNS-IEEE International Joint Conference on Neural Networks, Portland, Oregon, pp. 248-253, July 20-24, 2003.
  40. Nian Zhang and Donald C. Wunsch II, “A Fuzzy Attributed Graph Approach to Subcircuit Extraction Problem,” The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), St. Louis, MO, pp. 1063-1067, May 25-28, 2003. (Best Paper Award)
  41. Nian Zhang and Donald C. Wunsch II, “An Extended Kalman Filter (EKF) Approach on Fuzzy System Optimization Problem,” The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), St. Louis, MO, pp. 1465-1470, May 25-28, 2003.
  42. Nian Zhang and Donald C. Wunsch II, “Fuzzy Logic in Collective Robotic Search,” The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), St. Louis, MO, pp. 1471-1475, May 25-28, 2003.
  43. Nian Zhang and Donald C. Wunsch II, “A Comparison of Decision Tree Approach and Neural Networks Based Heuristic Dynamic Programming Approach for Subcircuit Extraction Problem,” Proceeding of Intelligent Computing: Theory and Applications, AeroSense 2003, Orlando, Florida, vol. 5103, pp. 143-149, April 21-25, 2003.
  44. Nian Zhang, Frank Harary, and Donald C. Wunsch II, “CMOS IC Topology Design Verification by Heuristic Dynamic Programming (HDP),” Artificial Neural Networks in Engineering (ANNIE), St. Louis, MO, vol. 12, pp. 33-38, November 10-13, 2002.
  45. Nian Zhang and Donald C. Wunsch II, “A Novel Subcircuit Extraction Algorithm Using Heuristic Dynamic Programming,” The International Conference on VLSI, Las Vegas, pp. 38-44, June 24-27, 2002.
  46. Nian Zhang, Alexander Novokhodko, Donald C. Wunsch II, and Cihan H. Dagli, “Comparative Study of Neural Networks Based Algorithms on Robotic Search  Problems,” Applications and Science of Computational Intelligence IV, Proceedings of SPIE, vol. 4390, pp. 224-235, Orlando, Florida, April 16-20, 2001.

Honors and Awards:

  • Excellence in Teaching Award.
  • Outstanding Research Mentorship Award.
  • Myrtilla Miner Faculty Fellow.
  • ONR Summer Research Faculty Fellow.
  • Chair of ECE Department Curriculum Committee.
  • Chair of Annual Discover Innovation Day at UDC.
  • Faculty mentor in the UDC’s STEM Center (supported by NSF and NIH MARC programs).
  • Invited talks at Huazhong University of Science and Technology, 2009, 2011, and 2015.
  • Associate editor of the IEEE Transactions on Neural Networks and Learning Systems.
  • Guest editor of Computational Intelligence and Neuroscience Journal.
  • Guest editor of International Journal of Systems, Control and Communications (IJSCC).
  • NSF Review Panelist.
  • Judge at ABRCMS, BKX/NIS, and ERN Conferences.
  • Publications Chair of over 20 IEEE sponsored international conferences.
  • IEEE Senior Member.
  • Neural Networks Technical Committee Member, IEEE Computational Intelligence Society (CIS).
  • Best Paper Award recipient for the paper entitled “A Fuzzy Attributed Graph Approach to Subcircuit Extraction Problem,” Nian Zhang and Donald C. Wunsch II, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), St. Louis, MO, May 25-28, 2003.

Upcoming Conferences: