ǿ޴ý

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Ying Bai

Professor
College Of Science, Technology, Engineering And Mathematics
ybai@jcsu.edu
704.877.1918

Curriculum Vitae

Ying Bai, Ph.D.

Professor Telephone: 704.378.1148

Computer Science & Engineering Fax: 704.378.3523

ǿ޴ý E-mail: ybai@jcsu.edu

Charlotte, NC 28216

EDUCATION:

Ph.D. Electrical Engineering, Florida Atlantic University (2000)

M.E. Optical & Electronics Engineering, Beijing Institute of Technology, China (1987)

B.E. Electronics Technology, Tsinghua Branch University, China (1983)

PROFESSIONAL EXPERIENCE:

Jul 2011 – Present Professor, Computer Science and Engineering, ǿ޴ý.

Jan 2011– May 2011 Adjunct Professor, Graduate School of Information & Management Systems, University of Maryland University College, Maryland.

Jul 2007 – Jun 2011 Associate Professor, Computer Science and Engineering, ǿ޴ý

Aug 2001 – Jun 2007 Assistant Professor, Computer Science and Engineering, ǿ޴ý

Jul 2000 – Jul 2001 Senior Software Engineer, Lam Research Corp., Fremont, California

May 1999 – Jun 2000 Senior Software Engineer, Immix TeleCom Inc., Coral Spring, Florida

Apr 1997- Oct 1998 Software Engineer, Schlumberger Automated Testing Equipment Inc., Westerville, Ohio

May 1995 - Aug 1995 Contract Engineer, Motorola Manufacturing System--MMS, Boynton Beach, Florida

RESEARCH INTERESTS:

My research includes a wide spectrum of directions and special fields, which include but not limits to: Robots and intelligent controls, robots calibrations, fuzzy logic controls, soft-computing, fuzzy interpolations, mix-language and database programming. The main focus of my work includes analyses of the kinematic and dynamic models of robots and manipulators.

PUBLICATIONS IN BOOKS:

1. Ying Bai, AI Foundations and Applications with MATLAB, under the contract with Springer Nature and will be published in 2025.

2. Ying Bai, SQL Server Database Programming with Visual C#, CRC Press LLC, (ISBN-13: 978-1032334776), October 2023.

3. Ying Bai, SQL Server Database Programming with Java, Springer Nature, (ISBN-13: 978-3030926861), November 2022.

4. Ying Bai, Oracle Database Programming with Java, CRC Press LLC, (ISBN: 978-3-030-01382-0), 578 pages, August 8, 2022.

5. Ying Bai, Oracle Database Programming with Visual Basic.NET, Wiley IEEE Press, (ISBN: 978-1119734390), 672 pages, May 11, 2021.

6. Ying Bai, SQL Server Database Programming with Visual Basic.NET, Wiley IEEE Press, (ISBN-13:978-1119608509), 663 pages, July 15, 2020.

7. Ying Bai & Zvi. S. Roth, Classical and Modern Controls with Microcontrollers, (ISBN: 978-3-030-01382-0), Springer Nature, 621 pages, December 15, 2018.

8. Ying Bai, Microcontroller Engineering with MSP432: Fundamentals and Applications, (ISBN-13:978-1498772983), CRC Press LLC, 817 pages, November 10, 2016.

9. Ying Bai, Practical Microcontroller Engineering with ARM Technologies, Wiley IEEE Press, 987 pages, (ISBN-13: 978-1119052371), December 29, 2015.

10. Ying Bai, Practical Microcontroller Engineering with M68HC11, John Wiley & Sons, 575 pages, (ISBN: 978-1-119-92772-3), July 2013.

11. Ying Bai, the 2nd edition of Practical Database Programming with Visual Basic.NET, Wiley IEEE Press, 890 pages, (ISBN: 978-1-118-16205-7), June 2012.

12. Ying Bai, Chinese Translation for Practical Database Programming with Visual C#.NET, Tsinghua University Press, Beijing, China, (ISBN: 978-7-302-26349-4), December 2011.

13. Ying Bai, Practical Database Programming with Java, (ISBN: 978-0-470-88940-4), 918 pages, Wiley IEEE Press, October 2011.

14. Ying Bai, Practical Database Programming with Visual C#.NET, (ISBN: 978-0-470-46727-5), 902 pages, Wiley IEEE Press, March 2010.

15. Ying Bai, Design and Implementation of a Controller for a Laser Tracking System,

(ISBN: 978-3639192414), 368 pages, VDM Publishing House Ltd., August 2009.

16. Ying Bai, Practical Database Programming with Visual Basic.NET,

(ISBN: 978-0521712354), 796 pages, Cambridge University Press, October 2008.

17. Ying Bai, Hanqi Zhuang and Dali Wang, “Advanced Fuzzy Logic Technologies in Industrial Applications”, (ISBN: 978-1-84628-468-7), 320 pages, Springer, October 2006.

18. Ying Bai, Russian Translation for “Applications Interface Programming Using Multiple Languages – A Windows Programmer’s Guide”, (ISBN: 5-8459-0861-2), 868 pages, Prentice Hall, October 2005.

19. Ying Bai, “Windows Serial Port Programming Handbook”, (ISBN: 0-8493-2213-8), 801 pages, CRC Press LLC, November 2004.

20. Ying Bai, “Mastering Electronics Via Labs”, (ISBN: 1-4107-6908-9), 203 pages, AuthorHouse, September 2003.

21. Ying Bai, “Applications Interface Programming Using Multiple Languages – A Windows Programmer’s Guide”, (ISBN: 0131003135), 864 pages, Prentice Hall, March 2003.

PUBLICATIONS IN SELECTED REFEREED JOURNALS:

1. Dali Wang & Ying Bai, “Data processing, information retrieval and classification of atmospheric measurements”, Journal of Data, Information and Management, , Jan. 2024.

2. Ying Bai, “Estimate and Predict Flooding Height Using ANFIS and ANN Algorithms”, Eng Technol Open Acc. 2023; 5(1): 555655. DOI: 10.19080/ETOAJ.2023.05.555655.

3. Ying Bai and Dali Wang, “Estimate and Predict Fire Weather Index Using ANFIS and ANN Algorithms “, Trans on Computational Science & Computational Intelligence, Springer Nature, to be published in April, 2022.

4. Ying Bai & Dali Wang, “Detect Fraud Bank Checks with a Simplified Image Multi-threshold Decision Processing Algorithm”, Book Chapter- Advances in Decision Science and Management, Springer, August 2021, pp.459-470.

5. Ying Bai and Dali Wang, “Detect Fraud Bank Checks with Convolutional Neural Network Processing Algorithm”, Journal of Image Processing & Pattern Recognition Progress, ISSN: 2394-1995, Vol. 7, Issue 3, December, 2020, pp.18 - 29.

6. Dali Wang, Ying Bai, and David Hamblin, “A Hybrid Learning Algorithm in Automated Text Categorization of Legacy Data”, International Journal of Artificial Intelligence & Applications (IJAIA) Vol.10, No.5, September 2019.

7. Ying Bai & Dali Wang, “Using Shallow Neural Network Fitting Technique to Improve Calibration Accuracy of Modeless Robots”, Book chapter, Artificial Intelligence Applications and Innovations, John MacIntype et al., ISBN 978-3-030-19823-7, Springer, 2019, pp. 623-631.

8. Ying Bai & Dali Wang, “Improve Calibration Accuracy of Modeless Robots by Using a Shallow Neural Network”, Robotics Research Journal, Vol. 1, No. 1, 2018, pp. 21-34.

9. Ying Bai & Dali Wang, “Calibrate Parallel Machine Tools by Using Interval Type-2 Fuzzy Interpolation Method”, The International Journal of Advanced Manufacturing Technology, Vol. 91, Issue. 5-8, 2017, Springer, pp. 553-560, DOI: 10.1007/s00170-017-0781-4.

10. Ying Bai & Dali Wang, “Using A 3D IntervalType-2 Fuzzy Interpolation System to Improve Modeless Robots Measurementand Calibration Accuracy”, Journal of Control Science and Engineering 4 (2016) 71-81, DOI: 10.17265/2328-2231/2016.02.03.

11. Ying Bai & Dali Wang, “Using a Dynamic Interval Type-2 Fuzzy Interpolation Method to Improve Modeless Robots Calibrations”, Journal of Control Science and Engineering, Vol. 3, No. 3, May-June 2015, p.109-117. DOI:10.17265/2328-2231/2015.03.001.

12. Ying Bai, Dali Wang and Sunil Gupta, “Reduce Nuclear Radiations in Pediatric Nuclear Medicines by Selecting the Optimized Effective Dose”, Journal of Applied Science & Research, Vol.1, Issue 1, 2014, pp. 28-35.

13. Ying Bai & Dali Wang, “Select the Optimized Effective Dose to Reduce Nuclear Radiations in Pediatric Nuclear Medicine”, World Journal of Nuclear Medicine, Vol. 13, Issue 1, January, 2014.

14. Ying Bai, Dali Wang and Sunil Gupta, “Estimate the Minimized Effective Dose and Critical Organ in Pediatric Nuclear Medicine”, American Journal of Medical Case Reports, No.1 (2014): pp. 4-9, doi: 10.12691/ajmcr-2-1-2.

15. Ying Bai, Sunil Gupta, Xue Bai & Dali Wang, “Develop Optimal Tube Voltage and Tube Current Chart for Radiation Reduction in Pediatric CT Examinations”, Journal of Biology, Vol.2, No.2, May 2013, pp 45-49.

16. Ying Bai & Dali Wang, “Select the Optimal Robots and Manipulators Using the Fuzzy Multi-Criteria Decision Making”, Research Journal of Computation and Mathematics, 1(1): 1-7, 2013, DIO: 10.12966/rjcm.5.1.2013.

17. Ying Bai & Dali Wang, “Select Optimal Chemical Detection Equipments using Fuzzy Decision Making Method”, International Journal on Soft Computing, Artificial Intelligence and Applications, Vol. 2, No.1, February 2013, pp. 1-12.

18. Dali Wang & Ying Bai, “Fuzzy Logic Control Implementation Considerations and Complexity Analysiss”, Journal of Intelligent & Fuzzy Systems, 24 (2013) 677-683, DOI: 10.3233/ifs-2012-0587.

19. Ying Bai, Nailong Guo and , “Fuzzy Interpolation and Other Interpolation Methods Used in Robot Calibrations”, Journal of Robotics, Vol. 2012 (2012), Article ID 376293, DOI:10.1155/2012/376293.

20. Ying Bai, Hanqi Zhuang and Dali Wang, “Apply Fuzzy Interpolation Method to Calibrate Parallel Machine Tools”, International Journal of Advanced Manufacturing Technology, Vol. 60, No. 5-8, 2012, Springer, pp. 553-560.

21. Dali Wang, Ying Bai and Jiying Zhao, “Robot Manipulator Calibration Using Neural Network and a Camera-Based Measurement System”, Transactions of the Institute of

Measurement and Control, 34, 1 (2012), pp. 105-121.

22. Ying Bai & Dali Wang, “Dynamic Modeling of the Laser Tracking Gimbal Used in a Laser Tracking System”, International Journal of Modeling, Identification and Control, Vol. 12, Issue 1/2, 2011, pp. 149 - 159.

23. Ying Bai & Dali Wang, “On the Comparison of Trilinear, Cubic Spline and Fuzzy Interpolation Methods in the High Accuracy Measurements”, IEEE Trans. on Fuzzy Systems,

Vol. 18, No. 5, October 2010, pp.1016-1022.

24. Ying Bai & Hanqi Zhuang (Guest editor), International Journal of Intelligent Systems Technologies and Applications – Automated Biometric Technology and Its Applications, Inderscience Enterprises Ltd., Vol. 7, No.3, 2009.

25. Ying Bai, “On the Comparison of Model-Based and Modeless Robotic Calibration Based on a Fuzzy Interpolation Method”, International Journal of Advanced Manufacturing Technology, Springer, Vol.31, No.11-12, February 2007, pp.1243-1250.

26. Ying Bai and Hanqi Zhuang, “On the Comparison of Bilinear, Cubic Spline and Fuzzy Interpolation Techniques for Robotic Position Measurements”, IEEE Trans. on Instrumentation and Measurement, Vol. 54, No. 6, December 2005, pp.2281-2288.

27. Dali Wang and Ying Bai, “An Algorithm for Balanced Approximation and Model Reduction of 2-D Separable-in-Denominator Filters”, Journal of Multidimensional Systems and Signal Processing, Vol. 16, No. 4, October 2005, pp. 439-461.

28. Ying Bai, Hanqi Zhuang and Zvi. S Roth, “Fuzzy Logic Control to Suppress Noises and Coupling Effects in a Laser Tracking System”, IEEE Trans on Control Systems Technology, Vol.13, No.1, January 2005, pp.113-121.

29. Ying Bai and Dali Wang, “Improve the Robot Calibration Accuracy Using a Dynamic On-Line Fuzzy Error Mapping System”, IEEE Trans. on Systems, Man and Cybernetics – Part B, Vol.34, No.2, April, 2004, pp.1155-1160.

30. Hanqi Zhuang, Shui H. Motaghedi, Zvi S. Roth, and Ying Bai, “Calibration of Multi-Beam Laser Tracking Systems”, Journal of Robotics and Computer and Integrated Manufacturing, Vol.19, Issue 4, 2003, pp. 308-315.* indicates undergraduate student involved in the research project and publication.

PUBLICATIONS IN SELECTED INTERNATIONAL CONFERENCES:

1. Ying Bai & Dali Wang, “Estimate and Predict the Foreign Currency Exchanging Rates by Using Adaptive Neuro Fuzzy Inference System and Deep Learning Algorithms”, 2024 4th International Conference on Information Communications and Software Engineering (ICICSE2024), May 10-12, Beijing, China, pp.65-69.

2. Ying Bai & Dali Wang, “Using Multi Adaptive Neuro Fuzzy Inference Systems to Identify Fraud Bank Checks”, 2023 International Conferences on Big Data Analytics, Data Mining and Computational Intelligence, Jul. 2023, Porto, Portugal.

3. Ying Bai & Dali Wang, “Using an Adaptive Neuro Fuzzy Inference System to Improve the Calibration Accuracy of Modeless Robots”, 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Sorrento, Italy, June 22-24, 2022.

4. Dali Wang & Ying Bai, “Data Processing and Information Retrieval of Atmospheric Measurements”, 2022 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Chemnitz, Germany, June 15-17, 2022.

5. Ying Bai and Dali Wang, “Estimate and Predict Fire Weather Index Using ANFIS and ANN Algorithms “, The 23rd International Conference on Artificial Intelligence (ICAI'21), July 26-29, 2021, USA, pp .

6. Ying Bai & Dali Wang, “Detect Fraud Bank Checks with a Simplified Image Multi-threshold Decision Processing Algorithm”, Proceedings of the Third International Conference on Decision Science and Management (ICDSM-2021), Jan 8-10, Hong Kong, China, 2021, pp.459-470.

7. Ying Bai & Dali Wang, “Improve Performances of a Laser Tracking System by Adopting a Modified Fuzzy Neural Network Controller”, Proceedings of 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), Nov. 9-13, 2020, Kirstiansand, Norway, pp. 68-72.

8. Ying Bai & Dali Wang, “Improve 3D Modeless Robots Calibration Accuracy Using A Shallow Neural Network Technique”, Proceedings of the 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM-2020), June 24-26, 2020, Remote, Italy, pp.552-557.

9. Dali Wang, Ying Bai and David Hamblin, “A Machine Learning Algorithm in Automated Text Categorization of Legacy Archives”, Proceedings of8thInternational Conference on Soft Computing, Artificial Intelligence and Applications,June 29-30, 2019, Copenhagen, Denmark, pp. 1-8.

10. Ying Bai & Dali Wang, “On The Comparison of Fuzzy Interpolations and Neural Network Fitting Functions in Modeless Robot Calibrations”, Proceedings of the 2019 IEEE International Conference on Fuzzy System (FUZZ-2019), June 23-26, New Orleans, USA, 2019, pp.1089-1094.

11. Ying Bai & Dali Wang, “Using Shallow Neural Network Fitting Technique to Improve Calibration Accuracy of Modeless Robots”, Proceedings of 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2019), May 24-26, Crete, Greece, 2019, pp. 623-631.

12. Ying Bai & Hang Chen, “Build an Optimal Evacuation Contraflow Model for Natural Disasters by Using Fuzzy Inference System”, Proceedings of the 2018 IEEE International Conference on Fuzzy System, July 8-13, Rio de Janeiro, Brazil, 2018, pp.375-380.

13. Ying Bai & Dali Wang, “On the Comparison of Type 1 and Interval Type 2 Fuzzy Logic
Controllers Used in a Laser Tracking System”, Proceedings of the16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018), June 10-13, Bergamo, Italy, 2018, pp.1548-1553.

14. David Hamblin, Dali Wang, Gao Chen and Ying Bai, “Investigation of Machine Learning Algorithms for the Classification of Atmospheric Measurements”, Proceedings of The 2017 International Conference on Artificial Intelligence, July 17-20, 2017, Las Vegas, Nevada, USA, pp.115-119.

15. Ying Baiand Dali Wang, “Using Interval Type-2 Fuzzy Interpolation Method to Calibrate Parallel Machine Tools”, Proceedings of The 26th IEEE International Symposium on Industrial Electronics, June 19-21, 2017, Edinburgh, Scotland, UK, pp.1159-1166.

16. Ying Baiand Dali Wang, "Using A 3D Interval Type-2 Fuzzy Interpolation System to Improve Robots Calibration Accuracy",Proceedings of 2016 International Conference on Artificial Intelligence, July 25 - 28, 2016, Las Vegas, USA, pp.10 - 16.

17. Ying Bai and Dali Wang, "On the Comparison of an Interval Type-2 Fuzzy Interpolation System and Other Interpolation Methods Used in Industrial Modeless Robotic Calibrations", 2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), June 27 - 29, 2016, Budapest, Hungary, Hotel Novotel Budapest Centrum, pp.88 - 93.

18. Ying Bai and Dali Wang, "Improve Robots Calibration Accuracy Using A Dynamic Online Interval Type-2 Fuzzy Interpolation System", Proceedings of 2015 International Conference on Artificial Intelligence, July 26 - 30, 2015, Las Vegas, USA, pp.16 - 21.

19. Dali Wang, Ying Bai and Ali Zilouchian, “Quantization Error Calculation of Various Realizations of 2-D Separable-in-Denominator Recursive Filters”, Proceedings of 2015 IEEE International Symposium on Circuits and Systems, May 24-27, 2015, Lisbon, Portugal, pp.2189 - 2192.

20. Ying Bai & Dali Wang, "Using Fuzzy Inference System to Estimate the Minimized Effective Dose and Critical Organ in Pediatric Nuclear Medicine", Proceedings of Future Computing 2014: The Sixth International Conference on Future Computational Technologies and Applications, Venice, Italy, May 25-29, 2014, pp.21-25.

21. Ying Bai, Dali Wang & Sunil Gupta, “Select the Optimal Effective Dose to Reduce Nuclear Radiations in Pediatric Nuclear Medicine”, Proceedings of 2014 International Conference on Energy, Environment and Materials Engineering, February 20-22, 2014, Shenzhen, China, pp. 991-996.

22. Ying Bai, Sunil Gupta, Xue Bai & Dali Wang, “Using Fuzzy Inference System to Develop an Optimal Tube Voltage and Tube Current Chart for Radiation Reduction in Pediatric CT Examinations”, Proceedings of 2013 2nd International Conference on Advances in Computer Science and Engineering, July 1-2, 2013, Los Angeles, CA, USA, pp.196-199.

23. Ying Bai & Dali Wang, “Design and Implement Nested Fuzzy Controllers to Reduce the Effects of Nuclear Radiations on Rescuing Robots and Manipulators”, Proceedings of 2012 IEEE International Conference on Fuzzy Systems, June 11-15, 2012, Brisbane, Australia, pp. 110-115.

24. Ying Bai & Dali Wang, “Implementation of Nested Fuzzy Controllers to Reduce the Effects of Electromagnetic Fields on Robots and Manipulators”, Proceedings of 2012 International Conference on Systems and Informatics, May 18-21, 2012, Yantai, China, pp. 730-734.

25. Dali Wang and Ying Bai, “Calibration of Stewart Platforms Using Neural Networks”, Proceedings of 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, Madrid, Spain, May 17-18, 2012, pp. 186-191.

26. Ying Bai & Dali Wang, “Evaluate and Identify Optimal Weapon Systems Using Fuzzy Multiple Criteria Decision Making”, Proceedings of 2011 IEEE International Conference on Fuzzy Systems, June 27-30, 2011, Taipei, Taiwan, pp. 1510-1515.

27. Ying Bai & Dali Wang, “Applying Fuzzy Multiple Criteria Decision Making to Evaluate and Identify Optimal Explosive Detection Equipments”, (ICEIS 2011) Proceedings of 13th International Conference on Enterprise Information Systems, Beijing, China, June 8-11, 2011, pp.118 – 124.

28. Gerald Agbegha, Nailong Guo and Ying Bai, “Compare Fuzzy Interpolation Algorithm with Other Interpolation Methods Used in Industrial Applications”, Proceedings of 2011 Hawaii University Engineering and Mathematics International Conference, Ala Moana Hotel, Honolulu, Hawaii, June 13 – 15, 2011.

29. Dali Wang and Ying Bai, “Calibration of Stewart Platforms Using a Modeless Technique”, Proceedings of the IASTED International Conference on Robotics and Applications (RA 2011), June 1 - 3, 2011, Vancouver, BC Canada, pp. 86-91.

30. Ying Bai and Dali Wang, "On the Comparison of Fuzzy Interpolation and Other Interpolation Methods in High Accuracy Measurements", Proceedings of the WCCI 2010 IEEE World Congress on Computational Intelligence, CCIB, Barcelona, Spain, July 18-23, 2010, pp. 2443-2449.

31. Dali Wang and Ying Bai, "Implementation Considerations of Fuzzy Logic Control Algorithms", Proceedings of the WCCI 2010 IEEE World Congress on Computational Intelligence, CCIB, Barcelona, Spain, July 18-23, 2010, pp. 1925-1930.

32. Ying Bai and Dali Wang, "Applying Fuzzy Multi-Criteria Decision Making for Optimal Robots and Manipulators Selection", Proceedings of the 2010 IEEE International Symposium On Industrial Electronics, Bari, Italy, July 4-7, 2010, pp. 1803-1808.

33. Ying Bai, Hanqi Zhuang and Dali Wang, "Apply Fuzzy Interpolation Method to Calibrate Parallel Machine Tools", 2009 IEEE International Symposium on Industrial Electronics, Seoul Olympic Parktel, Seoul, Korea, July 5-8, 2009, pp. 1178-1183.

34. Ying Bai, Hanqi Zhuang and Dali Wang, "Calibration of Parallel Machine Tools Using Fuzzy Interpolation Method", 2008 IEEE International Conference on Technologies for Practical Robot Applications, Holiday Inn Select Hotel, Woburn, MA, USA, November 10 - 11, 2008, pp. 56-61.

35. Ying Bai & Dali Wang, “Dynamic Modeling of the Laser Tracking Gimbal Used In a Laser Tracking System”, 2008 Intl Conf on Modeling, Identification and Control, Shanghai, China, June 29-July 2, 2008.

36. Dali Wang and Ying Bai, “Computational Techniques for the Modeling of Robot Position Error”, Proceedings of the 3rd IASTED International Conference on Computational Intelligence, July 2-4, 2007, Banff, Alberta, Canada.

37. Ying Bai and Dali Wang, “Recent Advances in Robotic Calibrations”, Proceedings of The 9th World Multi-Conference On Systemics, Cybernetics and Informatics, July 10-13, 2005, Orlando, Florida USA, pp. 347 – 353.

38. Dali Wang and Ying Bai, “Improving Position Accuracy of Robot Manipulators Using Neural Networks”, Proceedings of 2005 IEEE Instrumentation & Measurement Technology Conference, May 16-19, 2005, Fairmont Chateau Laurier Hotel, Ottawa, Canada, pp. 1524-1526.

39. Ying Bai and Hanqi Zhuang, “Modeless Robots Calibration in 3D Workspace with An On-Line Fuzzy Interpolation Technique”, Proceedings of 2004 IEEE International Conference on Systems, Man and Cybernetics, October 10-13, 2004, Hague, Netherlands (Invited paper by the Robotics and Sensing Section), pp.5233-5239.

40. Ying Bai and Hanqi Zhuang, “On the Comparison of Model-Based and Modeless Robotic Calibration Based on the Fuzzy Interpolation Technique”, Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, December 1-3, 2004, Traders Hotel, Singapore, pp. 892 - 897.

41. Ying Bai and Dali Wang, “On the Comparison of Interpolation Techniques for Robotic Position Compensation”, 2003 IEEE International Conference on Systems, Man and Cybernetics, October 5-8, 2003, Washington DC, pp. 3384 – 3389.

42. Ying Bai and Dali Wang, “Improve the Position Measurement Accuracy Using a Fuzzy Error Interpolation Technique”, Proceedings of the IEEE 2003 International Symposium On Computational Intelligence For Measurement Systems and Applications. July 29-31, 2003, Lugano, Switzerland, pp. 227 – 232.

43. Ying Bai, Hanqi Zhuang and Zvi S. Roth, “Experiment Study of PUMA Robot Calibration Using a Laser Tracking System”, Proceedings of the 2003 IEEE International Workshop on Soft Computing in Industrial Applications, Binghamton University, Binghamton, New York, June 23-25, 2003, pp. 139-144.

AWARDS and HONORS:

1. 2023-2024 PAR Excellent Teaching Award, ǿ޴ý

2. 2019 GrantsPerson of the Year Award, ǿ޴ý

3. 2018-2019 CATO PAR Excellent Teaching Award, ǿ޴ý

4. 2017-2018 SIT LUX Research Achievement Award, ǿ޴ý

5. Grantsperson of the Year Award, ǿ޴ý, 2009

6. 2006-2007 Rising Star Grantsmanship Award, ǿ޴ý

7. 2006-2007 SIT LUX Research Achievement Award, ǿ޴ý

8. 2005-2006 PAR Excellent Teaching Award, ǿ޴ý

9. 2003-2004 SIT LUX Research Achievement Award, ǿ޴ý

FUNDED PROPOSALS

1. PI, 2024 Google TensorFlow College Award - Machine Learning Courses, October 2024 ($10,000).

2. PI, 2022 Google TensorFlow College Award for Machine Learning Courses, August 2022 ($10,000).

3. PI, 2019 DoD Research Program for HBCU/MI (W911NF-1910455), “Intelligent Mobile Robots System for Designing and Implementing Nested Fuzzy Controllers to Reduce the Effects of Electromagnetic and Environmental Radiations on Military Robots and Manipulators”, ($227,862).

4. PI, 2007 DoD Infrastructure Funding for HBCU, “Establishing a Robotics Lab in JCSU for – Automatic Controls, Wireless/Network Controls and Robotics Calibrations”, ($12,325).

5. Mini-Grant: $1,000 from ǿ޴ý, 2003.

PROFESSIONAL AFFILIATIONS:

1. Editor-in-Chief for International Journal of Speech and Language Processing, Bioinfo Publications Journals.

2. Editorial Board Member for International Journal of Intelligent Information Systems in Science Publishing Group.

3. Editorial Board Member for Journal of Advanced Manufacturing Research in Columbia International Publishing.

4. Editorial Board Member for the Journal of Current Advances in Artificial Intelligence in American V-King Scientific Publishing, LTD.

5. IEEE Senior Member

6. ACM Professional Member

PROFESSIONAL ACTIVITIES:

1. Session Chair for 2012 International Conference on Systems and Informatics, May 18-21, 2012, Yantai, China.

2. Co-Chair for Robots Session, 2008 Intl Conf on Modeling, Identification and Control, Shanghai, China, June 29-July 2, 2008.

3. Member of Faculty Development Grant Committee in JCSU, 2003 – 2004

4. Chair of Faculty Development Grant Committee in JCSU, 2005 – 2006

5. Assistant Editor of Undergraduate Research Journal in JCSU, 2004 - Present

6. Member of Freshman Academy Project in JCSU, block 14, 2004 – 2005

7. Participate the Strategy For Success project and advised more than 10 ungraduate students to develop research projects such as

  • Designing an interface between the database and Visual Basic.NET
  • Automatic measurements and testing using LabVIEW 7.0
  • Digital signal processing with MATLAB Signal Toolbox
  • Micro-controller programming with Motorola MC68000 microprocessor
  • Web site development with HTML, Front page and Dreamwave
  • Signal detection system design and implementation with thermo-sensor, operational amplifier, A/D converter and 7-segment LED units
  • Robotics design and implementations using LEGO robots

8. Paper Reviewer:

  • IEEE 2010 International Conference on Fuzzy Systems
  • IEEE 2011 International Conference on Fuzzy Systems
  • IEEE 2012 International Conference on Fuzzy Systems
  • IEEE 2013 International Conference on Fuzzy Systems
  • IEEE Trans on Robotics and Automations
  • IEEE Trans on Systems, Man and Cybernetics
  • IEEE Trans on Measurements and Instruments
  • IEEE Trans on Industrial Electronics