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Curriculum Vitae

Dr. W. David Pan

Senior Member of IEEE

Associate Professor Dept. of Electrical & Computer Engineering

University of Alabama in Huntsville

Huntsville, AL 35899

Email: pand@uah.edu. Tel: 256-824-6642. Web: www.ece.uah.edu/~dwpan/

Google Scholar https://scholar.google.com/citations?user=dB6JENsAAAAJ&hl=en

Scopus https://www.scopus.com/authid/detail.uri?authorId=55667419900

Research Areas: Data Compression, Pattern Recognition, Deep Learning, and Remote-Sensing and Biomedical

Data Processing.

Dr. Pan has over 100 refereed conference and journal papers, as well as book chapter

publications in the above areas.

Education:

Ph.D. in Electrical Engineering, 2002, University of Southern California, Los Angeles,

California, USA.

Master of Science in Computer Engineering, 1998, University of Louisiana at Lafayette,

Lafayette, Louisiana, USA

Master of Science in Electrical Engineering, 1993, Sun Yat-Sen University, China.

Bachelor of Engineering in Electrical Engineering, Sun Yat-Sen University, China.

Professional Experience

Associate Professor (tenured), Dept. of Electrical and Computer Engineering, Univ. of

Alabama in Huntsville (18 years), Huntsville, Alabama, USA.

Summer Researcher, 2011, AT&T Labs-Research, New Jersey, USA.

Summer Intern, 2010, STMicroelectronics, California, USA

Lecturer, 1991 – 1993, Dept. of Electronics, Sun Yat-Sen University, China.

Recent Synergistic Activities

Guest Editor, Special Issue "Intelligent Hyperspectral Image Compression Using

Machine Learning", Remote Sensing Journal.

US National Science Foundation (NSF) panelist in 2012, 2014, 2015, and 2018

Invited speaker at U.S. Naval Research Lab on

the topic of “Efficient Regions-of-Interest Data Reduction and Compression with

Machine Learning”, 2016.

Invited speaker, Dept. of Electronic Engineering, Chinese University of

Hong Kong, on the topic of “Accurate Motion Estimation Using Lie Operators”, 2007.

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Awards

2008, 2009, 2011 US Office of Naval Research (ONR) Summer Faculty Research

Fellowship The UFZIP software package (for weather data compression) I developed with the U.S. Naval

Research Laboratory (NRL) has been operational onboard more than ten navy ships.

2008 Outstanding Junior Professor Award, College of Engineering, UAH.

2006 ETRI Journal Paper of the Year award, as the first author of a research paper

published in the SCI-indexed international journal.

Recent Funding:

Office of Naval Research Grant, “Apache Spark Cluster for Fast and Scalable Machine

Learning with Big Data”.

National Science Foundation (NSF) Grant, “REU Site: Fundamental Research Topics

Related to Unmanned Systems”.

Air Force STTR Phase II Subcontract, “Selective Data Reduction and Compression

Algorithm”.

National Science Foundation (NSF) Grant, "PSP: A Novel Framework to Teach Students

Security and Privacy for Pervasive Computing Environments".

Office of Naval Research (ONR) Grant, “Efficient Data Compression Techniques for

Weather Data”.

Ph.D. Students Supervised and Graduated (9 PhD. students by Fall 2020):

Bernard Benson (Expected Fall 2020)

Yuhang Dong (Expected Fall 2020)

Dr. Zhuocheng Jiang (Spring 2020) Dr. Hongda Shen (Fall 2016, now Machine Learning Technical Lead, Chubb Insurance, New

York, New York, USA)

Dr. Amir L. Liaghati (Spring 16, now Electrical Engineer, Boeing, Huntsville, Alabama, USA)

Yi Wang (Spring 2015, now Assistant Professor, Electrical and Computer Engineering, Manhattan College, Riverdale, New York, USA)

Dr. Jing Cai (Spring 2009, now with Meteorcomm, Renton, Washington, USA)

Dr. Hussein Alzoubi (Spring 2007, now Professor, Computer Engineering Department, Yarmouk University, Irbid, Jordan)

Dr. Rami A. AL-Na'mneh (Spring 2006, now Faculty Member, Computer Engineering

Department, Jordan University of Science and Technology, Irbid, Jordan)

M.S. Thesis Students Supervised and Graduated

Reetu Hooda (Spring 2018, continuing her graduate study as a PhD student, Dept. of ECE, UAH)

Vishnu Muralidharan (Spring 2016, now Associate Software Engineer on Machine Learning & Cognitive Automation, KPMG, New York, NY, USA)

Dr. Mark DeVirgilio (Spring 2012, now Contributing Faculty, Walden University, Huntsville,

Alabama, USA) Mahesh Nalasani (Spring 2005, now Senior Application Engineer, Nike, Beaverton, Oregon,

USA)

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Full Publication List

Book Chapters 1. W. D. Pan, Y. Dong, and D. Wu, “Classification of Malaria Infected Cells Using Deep

Convolutional Neural Networks,” in Machine Learning - Advanced Techniques and Emerging

Applications, ISBN 978-953-51-5835-6 (Book chapter in Press).

2. W. D. Pan, “Efficient Transformation Estimation Using Lie Operators: Theory, Algorithms,

and Computational Efficiencies,” in Advances in Character Recognition, book edited by Xiaoqing Ding, ISBN 978-953-51-0823-8, Publisher: InTech, November 7, 2012. (As of June 1, 2016, this chapter has been accessed 1,500 times).

Refereed Journal Articles:

1. B. Benson, W. D. Pan, A. Prasad, G. A. Gary, and Q. Hu, “Forecasting Solar Cycle 25 using Deep

Neural Networks,” Solar Physics, vol. 295. no. 65, May 2020.

2. Y. Dong, W. D. Pan, and D. Wu, “Impact of Misclassification Rates on Compression Efficiency of

Red Blood Cell Images of Malaria Infection Using Deep Learning,” Entropy, Special Issue in

“Image Analysis II”, vol. 21, no. 11, pp. 1 - 16, Oct. 2019.

3. B. Benson, W. D. Pan, G. A. Gary, Q. Hu, and T. Staudinger, “Determining the Parameter for the

Linear Force-Free Magnetic Field Model with Multi-Dipolar Configurations Using Deep Neural

Networks,” Astronomy and Computing (an Elsevier Journal), vol. 26, January 2019, pp. 50 - 60.

4. H. Shen, Z. Jiang, and W. D. Pan, “Efficient Lossless Compression of Multitemporal Hyperspectral

Image Data,” Journal of Imaging, Special Issue on “The Future of Hyperspectral Imaging”, vol. 4,

no. 12, pp. 1 - 14, Dec. 2018.

5. Z. Jiang, W. D. Pan, and H. Shen, “Universal Golomb-Rice Coding Parameter Estimation Using

Deep Belief Networks For Hyperspectral Image Compression,” IEEE Journal of Selected Topics in

Applied Earth Observations and Remote Sensing (JSTARS), vol. 11, no. 10, pp. 3830 - 3840, Oct.

2018.

6. Y. Wang, J. Fu, and W. D. Pan, “Impact of Setting Margin on Margin Setting Algorithm and

Support Vector Machine,” Journal of Imaging Science and Technology, vol. 62, no. 3, pp. 30501-

1-30501-11(11), May 2018.

7. A. Liaghati, W. D. Pan, and Z. Jiang, “Biased Run-Length Coding of Bi-Level Classification Label

Maps of Hyperspectral Images,” IEEE Journal of Selected Topics in Applied Earth Observations

and Remote Sensing, vol.10, no.10, pp. 4580-4588, Oct. 2017.

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8. H. Shen, W. D. Pan, and D. Wu, “Predictive Lossless Compression of Regions of Interest in

Hyperspectral Images with No-Data Regions,” IEEE Transactions on Geoscience and Remote

Sensing, vol. 55, no. 1, Jan. 2017.

9. J. Cai and W. D. Pan, “On Fast and Accurate Block Based Motion Estimation Algorithms Using Particle Swarm Optimization,” Information Sciences, vol. 197, pp. 53-64, 2012.

10. F. T. Sheldon, J. M. Weber, S.-M. Yoo, and W. D. Pan, “Insecurity of Wireless Networks,” IEEE Security and Privacy Magazine. vol. 10, issue 4, 2012, pp. 54 – 61.

11. C.-H. Park, S.-M. Yoo, and W. D. Pan, “LSM: A Layer Subdivision Method for Deformable Object Matching,” Information Sciences, vol. 180, issue 19, Sep. 2010, pp. 3718-3727

12. W. D. Pan, and A. Ortega, “Adaptive Computation Control of Variable Complexity Fano Decoders,” IEEE Trans. on Communications, vol. 57, no. 6, pp. 1556-1559, June 2009.

13. H. Alzoubi, and W. D. Pan, “Fast Global Motion Estimation Algorithm using Pixel Subsampling,”

Elsevier Information Sciences, vol. 178, no. 17, pp. 3415-3425, September 2008.

14. H. Alzoubi, and W. D. Pan, “Reducing the complexity of MPEG-4 global motion estimation using pixel subsampling, “ IET Electronics Letters, vol. 44, no. 1, pp. 20 – 22, January 2008.

15. R. A. Al-Na'mneh and W. D. Pan, “Five-Step FFT Algorithm with Reduced Computational

Complexity,” Information Processing Letters, vol. 101, no. 6, pp. 262–267, March 2007.

16. R. A. AL-Na'mneh, W. D. Pan, and S.-M. Yoo, “Parallel Implementation of 1-D Fast Fourier Transform without Inter-Processor Communication,” International Journal of Computers and Applications, vol. 29, no. 2, 2007.

17. W. D. Pan, S.-M. Yoo, C.-H. Park, “Complexity Accuracy Tradeoffs of Lie Operators in Motion

Estimation,” Pattern Recognition Letters, vol. 28, no. 7, pp. 778-787, May 2007.

18. W. D. Pan, S.-M. Yoo, M. Nalasani, and P. Cox, “Efficient Local Transformation Estimation Using Lie Operators,” Information Sciences, vol. 177, no. 3, pp. 815-831, February 2007.

19. C.-H. Park, S.-M. Yoo, H. Choo, and W. D. Pan, "Multi-User Data Multiplexing for Digital

Multimedia Broadcasting," Computer Communications, vol. 29, no. 18, pp. 3970 – 3975, 2006. 20. Y. Kanamori, S.-M. Yoo, W. D. Pan, and F. T. Sheldon, “A Short Survey on Quantum Computers,”

International Journal of Computers and Applications, vol. 28, no. 3, pp. 227-233, 2006. 21. R. A. Al-Na'mneh, W. D. Pan, and S.-M. Yoo, “Efficient Adaptive Algorithm for Transposing Small

and Large Matrices on Symmetric Multiprocessors,” International Journal Informatica, vol. 17, no. 4, pp. 535-550, 2006.

22. R. A. Al-Na'mneh, W. D. Pan, and S.-M. Yoo, “Two Parallel 1-D FFT algorithms without All-to-All

Communication,” Parallel Processing Letters, vol. 16, no. 2, pp. 153-164, June 2006.

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23. W. D. Pan, and S.-M. Yoo, “Fano Decoding with Timeout: Queueing Analysis,” ETRI Journal, vol. 28, no. 3, pp. 301-310, June 2006.

24. A. M. Shams, A. Chidanandan, W.D. Pan, and M. A. Bayoumi, “NEDA: A Low-Power High-

Performance DCT Architecture,” IEEE Trans. on Signal Processing, vol. 54, no. 3, pp. 955 - 964, March 2006.

25. T. Davis, S.-M. Yoo, and W. D. Pan, “Dissecting a Network-Based Education System,”

Technological Horizons in Education (T.H.E.) Journal, Sep. 2005. 26. S. M. Yoo, D. Kotturi, W. D. Pan, and J. Blizzard, "An AES Crypto Chip Using A High-Speed Parallel

Pipelined Architecture," Microprocessors and Microsystems, vol. 29, no. 7, pp. 317-326, Sep. 2005.

27. W. D. Pan and M. Nalasani, “Reversible Logic,” IEEE Potentials, pp. 38-41, February / March,

2005.

Papers Delivered at Professional Meetings:

28. B. Benson, W. D. Pan, A. Prasad, G. A. Gary, and Q. Hu,“Determining the Parameter for the

Linear Force-Free Magnetic Field Model with Multi-Dipolar Configurations Using Deep Neural

Networks,” In Proc. of Machine Learning in Heliophysics, Amsterdam, September 2019.

29. R. Hooda, and W. D. Pan, “Tree Based Search Algorithm for Binary Image Compression,” in Proc.

of IEEE SoutheastCon, Huntsville, AL, April. 2019.

30. Z. Jiang, W. D. Pan, and H. Shen, “LSTM Based Adaptive Filtering for Reduced Prediction Errors

of Hyperspectral Images,” in Proc. of IEEE 2018 International Conference on Wireless for Space

and Extreme Environments (WISEE'18), Huntsville, AL, Dec. 2018.

31. B. Benson, Z. Jiang, W. D. Pan, G. A. Gary, Q. Hu, “Determination of Linear Force-Free Magnetic

Field Constant Alpha Using Deep Learning,” in Proc. of 2017 International Conference on

Computational Science and Computational Intelligence (CSCI'17), Las Vegas, NV, Dec. 2017.

32. H. Shen, W. D. Pan, Y. Dong, and Z. Jiang, “Golomb-Rice Coding Parameter Learning Using Deep

Belief Network for Hyperspectral Image Compression,” in Proc. of IEEE International Geoscience

and Remote Sensing Symposium (IGARSS), Fort Worth, TX, July 2017.

33. Y. Dong, Z. Jiang, H. Shen, W. D. Pan, “Classification Accuracies of Malaria Infected Cells Using

Deep Convolutional Neural Networks Based on Decompressed Images,” in Proc. IEEE

SoutheastCon, Charlotte, NC, March-April 2017.

34. Y. Dong, Z. Jiang, H. Shen, W. D. Pan, L. A. Williams, V. V. B. Reddy, W. H. Benjamin, Jr., A. W. Bryan, Jr., “Evaluations of Deep Convolutional Neural Networks for Automatic Identification of Malaria Infected Cells,” in Proc. of IEEE International Conference on Biomedical and Health

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Informatics (IEEE BHI’17), Orlando, FL, Feb. 2017.

35. H. Shen, W. D. Pan, Y. Dong and M. Alim, “Lossless Compression of Curated Erythrocyte Images Using Deep Autoencoders for Malaria Infection Diagnosis,” in Proc. of IEEE Picture Coding Symposium (PCS'16), Nuremberg, Germany, Dec. 2016.

36. H. Shen, and W. D. Pan, “Predictive Lossless Compression of Regions of Interest in Hyperspectral Image Via Maximum Correntropy Criterion Based Least Mean Square Learning,” in Proc. of IEEE International Conf. on Image Processing (ICIP’16), Phoenix, AZ, Sep. 2016.

37. H. Shen, W. D. Pan, and Y. Dong, “Efficient Lossless Compression of 4D Hyperspectral Image Data”, to appear in the Proc. of 3rd International Conference on Advances in Big Data Analytics (ABDA'16), Las Vegas, NV, July 2016.

38. H. Shen, W. D. Pan, D. Wu, and M. Lubna, “Fast Golomb Coding Parameter Estimation Using Partial Data and Its Application in Hyperspectal Image Compression,” in IEEE SoutheastCon, Norfolk, VA, March-April 2016.

39. L. Liaghati, and W. D. Pan, “Evaluation of Biased Run-Length coding Method on Binary Images Generated by Modified Ising model,” in IEEE SoutheastCon, Norfolk, VA, March-April 2016.

40. A. L. Liaghati, H. Shen, and W. D. Pan, “An Efficient Method for Lossless Compression of Bi-Level

ROI Maps of Hyperspectral Images,” in Proc. of IEEE Aerospace Conference 2016, Big Sky, MO,

March 2016.

41. Y. Dong, H. Shen and W. D. Pan, “An Interactive Tool for ROI Extraction and Compression on Whole Slide Images,” in IEEE International Conference on Biomedical and Health Informatics, Feb. 2016.

42. V. Muralidharan, Y. Dong and W. D. Pan, “A Comparison of Feature Selection Techniques for

Machine Learning Based Automatic Malarial Cell Recognition in Wholeslide Images,” in IEEE International Conference on Biomedical and Health Informatics, Feb. 2016.

43. A. L. Liaghati, and W. D. Pan, “Improved Distance Coding of Binary Images by Run Length Coding of the Most Probable Interval,” in Proc. of IEEE SoutheastCon 2015, Fort Lauderdale, FL, April 2015.

44. H. Shen, W. D. Pan, and Y. Wang, “A Novel Method for Lossless Compression of Arbitrarily

Shaped Regions of Interest in Hyperspectral Imagery,” in Proc. of IEEE SoutheastCon 2015, Fort Lauderdale, FL, April 2015.

45. Y. Wang, W. D. Pan, and J. Fu, “Analysis of The Margin Setting Algorithm as A Margin-based Spherical Classification Method,” in Proc. of IEEE SoutheastCon 2015, Fort Lauderdale, FL, April 2015.

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46. L. Liaghati, W. D. Pan, “An Adaptive Interval Generation Method for Efficient Distance Coding of Binary Images,” in Proc. of 3rd International Conference on Image, Vision and Computing, Paris, France, September 2014.

47. J. R. Hairston, W. D. Pan, “Lossless Compression of Weather Radar Data Using Open-Source

Software Implementations,” in Proc. of International Weather Radar and Hydrology Symposium (WRaH’2014), Washington, DC., April 2014.

48. M. DeVirgilio, W. D. Pan, L. L. Joiner, and D. Wu, “ Network Radars: Measuring Internet Delay

Statistics Using Hurst Parameters,” Proc. of Southeastern Workshop on Cognitive Sensing, Computing & Networking and Their Applications in Human-Cyber-Physical Systems (CSCN 2012), August 15, 2012, UA campus, Tuscaloosa, Alabama.

49. M. DeVirgilio, W. D. Pan, L. L. Joiner, and D. Wu, “Internet Delay Statistics: Measuring Internet Feel using a Dichotomous Hurst Parameter,” in Proc. of IEEE SoutheastCon, March, 2012. Orlando, Florida.

50. J. M. Weber, S.-M. Yoo, and W. D. Pan, “Attack Experimentation on IEEE 802.11 WPA Protocols,”

in Proc. of 7th ACM Annual Cyber Security and Information Intelligence Research Workshop, October, 2011, Oak Ridge, Tennessee.

51. W. D. Pan, P. R. Harasti, M. Frost, Q. Zhao, J. Cook, T. Maese, Lee J. Wagner, Claude P. Hattan, and Bryan T. Akagi, “A new method for compressing quality-controlled weather radar data by exploiting blankout markers due to thresholding operations,” in Proc. of AMS 27th Conference on International Interactive Information and Processing Systems (IIPS’11) for Meteorology, Oceanography, and Hydrology, Seattle, Washington, January 2011.

52. J. Cai, and W. D. Pan, “Fast Exhaustive-Search Motion Estimation Based on Accelerated Multilevel Successive Elimination Algorithm with Multiple Passes,” Proc. of the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP’10), Dallas, TX, March 2010. .

53. W. D. Pan, P. R. Harasti, M. Frost, Q. Zhao, J. Cook, T. Maese, L. J. Wagner, “Lossless differential compression of weather radar data in universal format using motion estimation and compensation,” in Proc. of AMS 26th Conference on International Interactive Information and Processing Systems (IIPS’10) for Meteorology, Oceanography, and Hydrology, Atlanta, Georgia, January 2010.

54. P. R. Harasti, W. D. Pan, M. Frost, Q. Zhao, J. Cook, T. Maese, L. J. Wagner, and R. Owens, “On the development of a weather radar data assimilation system for the US Navy,” in Proc. of AMS 34th Conference on Radar Meteorology, Williamsburg, VA, October 2009.

55. J. Cai, and W. D. Pan, “Statistical Analysis of Thresholding Errors For Adaptive Projection-Based Fast Block Matching Motion Estimation”, in Proc. of Picture Coding Symposium (PCS’09), Chicago, Illinois, May 2009.

56. W. D. Pan, P. R. Harasti, M. Frost, Q. Zhao, J. Cook, T. Maese, L. J. Wagner, “Efficient Reduction

and Compression of Weather Radar Data in Universal Format,” in Proc. of AMS 25th Conference

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on International Interactive Information and Processing Systems (IIPS’09) for Meteorology, Oceanography, and Hydrology, Phoenix, AZ, January 2009.

57. W. D. Pan, P. R. Harasti, M. Frost, Q. Zhao, J. Cook, T. Maese, L. J. Wagner, “Efficient Reduction and Compression of Weather Radar Data in Universal Format,” Littoral Battlespace Sensing (LBS) Newsletter, pp. 7-9, No. 4 – Q2FY09, March 2009.

58. H. Alzoubi, and W. D. Pan, “Fast and Accurate Global Motion Estimation by Combining Pixel Subsampling and Outlier Rejection,” Proc. of Picture Coding Symposium (PCS’07), Lisbon, Portugal, November 2007.

59. J. Cai, and W. D. Pan, “Particle Swarm Optimization Algorithm For Block Based Motion

Estimation”, Proc. of Huntsville Simulation Conference (HSC’07), Huntsville, Alabama, October 2007.

60. H. Alzoubi and W. D. Pan, “Efficient Global Motion Estimation Using Fixed and Random Subsampling Patterns,” in Proc. of IEEE International Conference on Image Processing, San Antonio, TX, September 2007.

61. H. Alzoubi, and W. D. Pan, “Very Fast Global Motion Estimation using Partial Data”, in Proc. of the 32nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Hawaii, April, 2007.

62. H. Alzoubi, and W. D. Pan, “Fast Global Motion Estimation using Partial Data”, in Proc. of Huntsville Simulation Conference (HSC’06), Huntsville, Alabama, Nov. 2006.

63. H. Alzoubi, and W. D. Pan, “Floating-Point Genetic Algorithm for Translational Motion Estimation”, in Proc. of Huntsville Simulation Conference (HSC’06), Huntsville, Alabama, Nov. 2006.

64. J. Cai, and W. D. Pan, “Simulation of Fast Motion Estimation based on a Modified Particle Swarm Optimization Method”, in Proc. of Huntsville Simulation Conference (HSC’06), Huntsville, Alabama, Nov. 2006.

65. R. Al Na’mneh and W. D. Pan, “Hybrid MPI / Pthread Implementation of 1-D FFT on SMP,” in Proc. of IEEE Southeastern Symposium on System Theory, Cookeville, TN, March 2006.

66. R. Al Na’mneh and W. D. Pan, “Two-Step 1-D Fast Fourier Transform without Inter-Processor

Communications,” in Proc. of IEEE Southeastern Symposium on System Theory, Cookeville, TN, March 2006.

67. K. Darabkh and W. D. Pan, “Stationary Queue-Size Distribution for Variable Complexity

Sequential Decoders with Large Timeouts,” in Proc. of 44th ACM Southeast Conference, Melbourne, Florida, March 2006.

68. K. Darabkh and W. D. Pan, “Queueing Simulation for Fano Decoders with Finite Buffer Capacity,”

in Proc. of 9th Communications and Networking Simulation Symposium (CNS’06), Huntsville,

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Alabama, April 2006.

69. J. Cai, W. D. Pan and P. G. Cox, “Simulation of Distributed Coset Coding of Correlated Images,” in Proc. of Huntsville Simulation Conference (HSC’05), Huntsville, Alabama, Nov. 2005.

70. K. Darabkh and W. D. Pan, “Queue-Size Distribution for Fano Decoders,” in Proc. of Huntsville Simulation Conference (HSC’05), Huntsville, Alabama, Nov. 2005.

71. K. Darabkh and W. D. Pan, “Queueing Simulation for Sequential Decoders with Timeout,” in

Proc. of Huntsville Simulation Conference (HSC’05), Huntsville, Alabama, Nov. 2005.

72. P. Paritala and W. D. Pan, “Higher Order Statistical Analysis of Steganographic Images using Wavelet Transforms,” in Proc. of Huntsville Simulation Conference (HSC’05), Huntsville, Alabama, Nov. 2005.

73. A. Watkins and W. D. Pan, “Simulation of Hidden Message Length Estimation of LSB

Steganography,” in Proc. of Huntsville Simulation Conference (HSC’05), Huntsville, Alabama, Nov. 2005.

74. M. Nalasani and W. D. Pan, “Object Transformation Estimation with Low Complexity,” Proc. of IEEE Southeastern Symposium on System Theory, Tuskegee, Alabama, March 2005. pp. 292 – 296.

75. A. G. Veeravalli, M. Nalasani and W. D. Pan, “Covariance Analysis of Non-Translational Motion-Compensated,” Proc. of IEEE Southeastern Symposium on System Theory, Tuskegee, Alabama, March 2005. pp. 462 – 465.

76. R. Al Na’mneh, W. D. Pan, and R. Adhami, “Parallel Implementation of 1-D Fast Fourier Transform without Inter-processor Communication,” Proc. of IEEE Southeastern Symposium on System Theory, Tuskegee, Alabama, March 2005. pp. 307 – 311.

77. A. G. Veeravalli, W. D. Pan, R. Adhami, and P. G. Cox, “A Tutorial on Using Hidden Markov Models for Phoneme Recognition,” Proc. of IEEE Southeastern Symposium on System Theory, Tuskegee, Alabama, March 2005. pp. 154 – 157.

78. Al Na’mneh, W. D. Pan, and R. Adhami, “Communication Efficient Adaptive Matrix Transpose Algorithms for FFT on Symmetric Multiprocessors,” Proc. of IEEE Southeastern Symposium on System Theory, Tuskegee, Alabama, March 2005. pp. 312 – 315.

79. M. Nalasani and W. D. Pan, “Performance Evaluation of MPEG-2 Codec with Accurate Motion Estimation,” Proc. of IEEE Southeastern Symposium on System Theory, Tuskegee, Alabama, March 2005. pp. 287 – 291.

80. W. D. Pan, “Computation and Buffer Analysis of Fano Decoders in Portable Mobile Computing,” in Proc. of UAH Young Faculty Research Proceedings, Dec. 2004.

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81. M. Nalasani and W. D. Pan, “Transformation Estimation with Sub-Pixel Accuracy,” in Proc. of Huntsville Simulation Conference (HSC’04), Huntsville, Alabama, Nov. 2004.

82. A. G. Veeravalli, W. D. Pan, R. Adhami and P. G. Cox, “Phoneme Recognition using Hidden Markov Models,” in Proc. of Huntsville Simulation Conference (HSC’04), Huntsville, Alabama, Nov. 2004.

83. W. D. Pan and S.-M Yoo, “Queuing Analysis of Sequential Decoders with Buffers,” in Proc. of Huntsville Simulation Conference (HSC’04), Huntsville, Alabama, Nov. 2004.

84. R. A. Al Na’mneh and W. Pan, “Performance analysis of parallel algorithms for one dimensional

FFT on symmetric multiprocessors,” Proc. International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 80 – 83, Las Vegas, Nevada, June 2004.

85. R. A. Al Na’mneh and W. Pan, “Efficient and scalable parallel processing methods for transposing

matrices on symmetric multiprocessors,” Proc. International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 84 – 89, Las Vegas, Nevada, June 2004.

86. M. Nalasani and W. Pan, “Accuracy, rate and complexity tradeoffs of transformation estimation

using Lie operators,” Proc. International Conference on Imaging Science, Systems, and Technology, pp. 210-216, Las Vegas, Nevada, June 2004.

87. Z. Pan, W. Pan, and A. Milenkovic, “Complexity-Distortion Tradeoffs in Variable Complexity 2-D

DCT,” in Proc. of the 42nd ACM Southeast Conference, pp. 460-465, Huntsville, Alabama, April 2004.

88. R. A. Al Na’mneh, W. Pan, and B. E. Wells, “Two parallel implementations for one dimensional

FFT on symmetric multiprocessors,” in Proc. of the 42nd ACM Southeast Conference, Huntsville, Alabama, April 2004.

89. M. Nalasani, W. Pan, and S.-M. Yoo, “Motion Estimation with integrated motion models,” in

Proc. of the 42nd ACM Southeast Conference, Huntsville, Alabama, April 2004.

90. W. Pan, “Quantization of Fano metrics using relative entropy in modeling channels with memory,” in Proc. of IEEE Southeastern Symposium on System Theory, Atlanta, Georgia, March 2004.

91. M. Nalasani and W. Pan, “On the complexity and accuracy of motion estimation using Lie

operators,” in Proc. of IEEE Southeastern Symposium on System Theory, Atlanta, Georgia, March 2004.

92. W. Pan, “Accurate motion estimation in very low bit-rate video coding using low-complexity linear motion models,” in Proc. of UAH Young Faculty Research Proceedings, Dec. 2003.

93. W. Pan, “Improved buffer control of Fano decoders using channel memory,” in Proc. of IEEE

Globecom Conference, San Francisco, California. Dec. 2003.

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94. W. Pan and M. Nalasani, “Accurate motion estimation with linear motion models in video compression,” in Proc. of Huntsville Simulation Conference, Huntsville, Alabama, Oct. 2003.

95. W. Pan, “Accurate metric calculation in simulating Fano decoders,” in Proc. of Huntsville

Simulation Conference, Huntsville, Alabama, Oct. 2003.

96. W. Pan and S.-M. Yoo, “Computation control of distributed image decoders in mobile computing,” in Proc. of 16th International Conference on Parallel and Distributed Computing Systems, Reno, Nevada, August 2003.

97. W. Pan, Basso and Bottou, “An iterative algorithm for accurate motion estimation under very low bit rate constraint in video coding,” in Proc. of International Signal Processing Conference (ISPC), Dallas, Texas. April 2003.

98. W. Pan, S.-M. Yoo and R. Adhami, “Prediction of Rayleigh fading channels based on hidden

Markov modeling of sequential channel decoding complexity,” in Proc. of 35th IEEE SSST, Morgantown, West Virginia, March 2003.

99. A. M. Shams, W. Pan, A. Chidanandan and M. A. Bayoumi, “A low power high performance

distributed DCT architecture,” IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2002), April 2002, Pittsburgh, Pennsylvania.

100. W. Pan and A. Ortega, "Buffer Control for Variable Complexity Fano Decoders," in proceedings

of Globecom 2001, pp.176-180, Nov. 2001, San Antonio, Texas.

101. W. Pan, A. Ortega, I. Hajj-Ahmad and R. Sannino, "Proxy-Based Approaches for IDCT Acceleration," in proceedings of IS&T and SPIE Conf. on Visual Communications and Image Processing (VCIP 2001), pp.625-636, January 2001, San Jose, California.

102. W. Pan, "A Fast 2-D DCT Algorithm via Distributed Arithmetic Optimization," in proceedings of International Conference on Image Processing (ICIP 2000), pp. 114-117, September 10-13, 2000, Vancouver, BC, Canada.

103. A. M. Shams, W. Pan, A. Chandanandan, and M. A. Bayoumi, "A High-Performance 1D-DCT Architecture," in proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2000), pp.521-524, May 28-31, 2000, Geneva, Switzerland.

104. W. Pan and Ortega, "Complexity-scalable Transform Coding using Variable Complexity Algorithms," in Proceedings of Data Compression Conference (DCC'00), pp.263-272, March 2000. Snowbird, Utah.

105. W. Pan, A. M. Shams and M. A. Bayoumi, "NEDA: A New Distributed Arithmetic Architecture and its Application to One Dimensional Discrete Cosine Transform," in proceedings of IEEE Workshop on Signal Processing Systems Design and Implementation (SiPS'99), pp.159-168, Taipei, Taiwan, Oct. 20-22, 1999.

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106. W. Pan and Z. Xiao, "Improved Motion-Compensation Coding Algorithm for an MPEG Video-Codec," in proceedings of International Conference on Neural Networks and Signal Processing (ICNNSP'94), pp.908-912, Guangzhou, China, Nov.1-3, 1994.

IV. Service Activities

Member of Electrical Engineering (EE) Group, ECE Dept, UAH

Coordinator of ABET for EE Area program, ECE Dept., UAH

Full Member of the Graduate Faculty, UAH

Invited speaker of the UAH Mathematical Sciences Colloquium

Invited speaker at Naval Research Lab, Washington, DC.

Invited speaker at Dept. of Electronic Engineering, Chinese University of Hong Kong

Senior Member of IEEE

Reviewer for o IEEE Transactions on Geoscience and Remote Sensing o IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing o IEEE Transactions on Circuits and Systems – I o IEEE Transactions on Circuits and Systems for Video Technology o IEEE Signal Processing Letters o IET Signal Processing o Image Communication o Sensors Journal o Imaging Journal o Symmetry Journal o IJMS International Journal of Molecular Science o Cytometry Part A Journal o Bioinformatics Journal o Algorithms Journal o International Journal of Remote Sensing o Applied Computing and Informatics o Computerized Medical Image and Graphics o EURASIP Journal on Advances in Signal Processing o Pattern Recognition Letters o IEEE Transactions on Signal Processing o ACM Journal of Wireless Networks o IEEE Transactions on Multimedia o IEEE Transactions on Image Processing o Multimedia System Journal o The International Journal for Computers and Their Applications o International Conference on Parallel and Distributed Computing Systems o IEEE Vehicular Technology Conference Fall 2003 o IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) o IEEE International Conference on Image Processing (ICIP) o IEEE SoutheastCon o ACMSE Conference o Picture Coding Symposium

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Technical Program Committee for International Conference on Soft Computing Techniques and Engineering Application (SCTEA 2013)

Chair of the Telecommunications session in the 35th IEEE SSST conference, held in Morgantown, West Virginia in March 2003.

Member of technical committee of the 16th International Conference on Parallel and Distributed Computing Systems (PDCS’03) held in Reno, NV in August 2003.

Member of the Technical Program Committee, IEEE International Conference on Image Processing (ICIP2004 and ICIP 2005.