Faculty Profile

Parthasarathy Guturu

Title
Associate Professor
Department
Electrical Engineering
College
College of Engineering

    

Education

PhD, Indian Institute of Technology, Kharagpur, 1984.
Major: Engineering
Dissertation Title: Pattern Recognition Methods for High Dimensional Problems-Some Studies and Developments.
PGDip, Indian Institute of Technology, Kharagpur, 1975.
Major: Computer Technology
BTech, Indian Institute of Technology, Kharagpur, 1973.
Major: Electronics & Electical Communication Engineering

Current Scheduled Teaching*

EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2024
EENG 5940.600, Advanced Topics in Electrical Engineering, Spring 2024
EENG 4810.001, Computer Networks, Spring 2024
EENG 3710.001, Computer Organization, Spring 2024
EENG 5890.003, Directed Study, Spring 2024
EENG 3710.001, Computer Organization, Fall 2023 Syllabus
EENG 4850.001, Computer Vision & Image Analysis, Fall 2023 Syllabus
EENG 5640.001, Computer Vision and Image Analysis, Fall 2023 Syllabus
EENG 5640.600, Computer Vision and Image Analysis, Fall 2023 Syllabus
EENG 4310.001, Control Systems Design, Fall 2023 Syllabus
EENG 5310.001, Control Systems Design, Fall 2023 Syllabus
EENG 5310.605, Control Systems Design, Fall 2023 Syllabus
EENG 5890.004, Directed Study, Fall 2023
EENG 6950.010, Doctoral Dissertation, Fall 2023

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

EENG 5890.004, Directed Study, Summer 10W 2023
EENG 4310.001, Advanced Topics in Control Systems Design, Spring 2023 Syllabus SPOT
EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2023 Syllabus SPOT
EENG 5940.600, Advanced Topics in Electrical Engineering, Spring 2023 Syllabus SPOT
EENG 4810.001, Computer Networks, Spring 2023 Syllabus SPOT
EENG 3710.001, Computer Organization, Spring 2023 Syllabus SPOT
EENG 5310.001, Control Systems Design, Spring 2023 Syllabus SPOT
EENG 5890.003, Directed Study, Spring 2023 Syllabus
EENG 4310.001, Advanced Topics in Control Systems Design, Fall 2022 Syllabus SPOT
EENG 3710.001, Computer Organization, Fall 2022 Syllabus SPOT
EENG 5640.001, Computer Vision and Image Analysis, Fall 2022 Syllabus SPOT
EENG 5310.001, Control Systems Design, Fall 2022 Syllabus SPOT
EENG 5310.605, Control Systems Design, Fall 2022 Syllabus SPOT
EENG 5890.004, Directed Study, Fall 2022
EENG 6940.004, Individual Research, Fall 2022
EENG 4010.001, Topics in Electrical Engineering, Fall 2022 Syllabus SPOT
EENG 5890.004, Directed Study, Summer 10W 2022
EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2022 Syllabus SPOT
EENG 5940.600, Advanced Topics in Electrical Engineering, Spring 2022 Syllabus SPOT
EENG 4810.001, Computer Networks, Spring 2022 Syllabus SPOT
EENG 3710.001, Computer Organization, Spring 2022 Syllabus SPOT
EENG 6940.802, Individual Research, Spring 2022
EENG 4310.001, Advanced Topics in Control Systems Design, Fall 2021 Syllabus SPOT
EENG 3710.001, Computer Organization, Fall 2021 Syllabus SPOT
EENG 5640.001, Computer Vision and Image Analysis, Fall 2021 Syllabus SPOT
EENG 5640.600, Computer Vision and Image Analysis, Fall 2021 SPOT
EENG 5310.001, Control Systems Design, Fall 2021 Syllabus SPOT
EENG 5310.002, Control Systems Design, Fall 8W2 2021 Syllabus
EENG 5310.605, Control Systems Design, Fall 2021 Syllabus SPOT
EENG 5890.004, Directed Study, Fall 2021
EENG 6940.004, Individual Research, Fall 2021
EENG 5950.004, Master's Thesis, Fall 2021
EENG 4010.001, Topics in Electrical Engineering, Fall 2021 Syllabus SPOT
EENG 5890.004, Directed Study, Summer 10W 2021
EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2021 Syllabus SPOT
EENG 4810.001, Computer Networks, Spring 2021 Syllabus SPOT
EENG 3710.001, Computer Organization, Spring 2021 Syllabus SPOT
EENG 5890.004, Directed Study, Spring 2021
EENG 5950.001, Master's Thesis, Spring 2021
EENG 4310.001, Advanced Topics in Control Systems Design, Fall 2020 Syllabus SPOT
EENG 3710.001, Computer Organization, Fall 2020 Syllabus SPOT
EENG 5640.001, Computer Vision and Image Analysis, Fall 2020 Syllabus SPOT
EENG 5640.002, Computer Vision and Image Analysis, Fall 2020 Syllabus SPOT
EENG 5640.600, Computer Vision and Image Analysis, Fall 2020 Syllabus SPOT
EENG 5310.001, Control Systems Design, Fall 2020 Syllabus SPOT
EENG 5310.605, Control Systems Design, Fall 2020 Syllabus SPOT
EENG 5890.005, Directed Study, Fall 2020
EENG 5950.005, Master's Thesis, Fall 2020
EENG 4010.001, Topics in Electrical Engineering, Fall 2020 Syllabus SPOT
EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2020 Syllabus
EENG 4810.001, Computer Networks, Spring 2020 Syllabus
EENG 3710.001, Computer Organization, Spring 2020 Syllabus
EENG 2710.002, Digital Logic Design, Spring 2020 Syllabus
EENG 5890.004, Directed Study, Spring 2020
EENG 5950.001, Master's Thesis, Spring 2020
EENG 4310.001, Advanced Topics in Control Systems Design, Fall 2019 Syllabus SPOT
EENG 3710.001, Computer Organization, Fall 2019 Syllabus SPOT
EENG 5640.001, Computer Vision and Image Analysis, Fall 2019 Syllabus SPOT
EENG 5640.600, Computer Vision and Image Analysis, Fall 2019 Syllabus SPOT
EENG 5310.001, Control Systems Design, Fall 2019 Syllabus SPOT
EENG 5310.605, Control Systems Design, Fall 2019 SPOT
EENG 5890.004, Directed Study, Fall 2019
EENG 6950.007, Doctoral Dissertation, Fall 2019
EENG 5950.004, Master's Thesis, Fall 2019
EENG 4010.001, Topics in Electrical Engineering, Fall 2019 Syllabus SPOT
EENG 5950.004, Master's Thesis, Summer 10W 2019
EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2019 SPOT
EENG 4810.001, Computer Networks, Spring 2019 Syllabus SPOT
EENG 3710.001, Computer Organization, Spring 2019 Syllabus SPOT
EENG 2710.002, Digital Logic Design, Spring 2019 Syllabus SPOT
EENG 5890.004, Directed Study, Spring 2019
EENG 6950.004, Doctoral Dissertation, Spring 2019
EENG 5950.001, Master's Thesis, Spring 2019
EENG 4310.001, Advanced Topics in Control Systems Design, Fall 2018 Syllabus SPOT
EENG 5640.001, Computer Vision and Image Analysis, Fall 2018 SPOT
EENG 5310.001, Control Systems Design, Fall 2018 SPOT
EENG 5310.605, Control Systems Design, Fall 2018 SPOT
EENG 5890.004, Directed Study, Fall 2018
EENG 6950.007, Doctoral Dissertation, Fall 2018
EENG 1910.001, Learning to Learn Project, Fall 2018 Syllabus SPOT
EENG 5950.004, Master's Thesis, Fall 2018
EENG 4010.001, Topics in Electrical Engineering, Fall 2018 Syllabus SPOT
EENG 5950.004, Master's Thesis, Summer 10W 2018
EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2018 SPOT
EENG 4810.001, Computer Networks, Spring 2018 Syllabus SPOT
EENG 3710.001, Computer Organization, Spring 2018 Syllabus SPOT
EENG 3710.002, Computer Organization, Spring 2018 Syllabus SPOT
EENG 5890.004, Directed Study, Spring 2018
EENG 6950.004, Doctoral Dissertation, Spring 2018
EENG 4310.001, Advanced Topics in Control Systems Design, Fall 2017 Syllabus SPOT
EENG 5640.001, Computer Vision and Image Analysis, Fall 2017 SPOT
EENG 5310.001, Control Systems Design, Fall 2017 SPOT
EENG 5310.605, Control Systems Design, Fall 2017 SPOT
EENG 2710.001, Digital Logic Design, Fall 2017 Syllabus SPOT
EENG 5890.004, Directed Study, Fall 2017
EENG 2980.003, Experimental Course, Fall 2017 Syllabus SPOT
EENG 4010.001, Topics in Electrical Engineering, Fall 2017 Syllabus SPOT
EENG 5890.004, Directed Study, Summer 10W 2017
EENG 5950.004, Master's Thesis, Summer 10W 2017
EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2017 SPOT
EENG 4810.001, Computer Networks, Spring 2017 Syllabus SPOT
EENG 3710.001, Computer Organization, Spring 2017 Syllabus SPOT
EENG 2710.002, Digital Logic Design, Spring 2017 Syllabus SPOT
EENG 5890.004, Directed Study, Spring 2017
EENG 5950.001, Master's Thesis, Spring 2017
EENG 4310.001, Advanced Topics in Control Systems Design, Fall 2016 Syllabus SPOT
EENG 5640.001, Computer Vision and Image Analysis, Fall 2016 SPOT
EENG 5310.001, Control Systems Design, Fall 2016 SPOT
EENG 5310.605, Control Systems Design, Fall 2016 SPOT
EENG 2710.001, Digital Logic Design, Fall 2016 Syllabus SPOT
EENG 5890.004, Directed Study, Fall 2016
EENG 5950.004, Master's Thesis, Fall 2016
EENG 5900.004, Special Problems, Fall 2016
EENG 4010.001, Topics in Electrical Engineering, Fall 2016 Syllabus SPOT
EENG 5890.004, Directed Study, Summer 10W 2016
EENG 5900.005, Special Problems, Summer 2016
EENG 5940.004, Advanced Topics in Electrical Engineering, Spring 2016 SPOT
EENG 4810.001, Computer Networks, Spring 2016 Syllabus SPOT
EENG 3710.001, Computer Organization, Spring 2016 Syllabus SPOT
EENG 2710.002, Digital Logic Design, Spring 2016 Syllabus SPOT
EENG 5890.004, Directed Study, Spring 2016
EENG 5890.011, Directed Study, Spring 2016
EENG 5950.001, Master's Thesis, Spring 2016
EENG 5900.001, Special Problems, Spring 2016
EENG 4310.001, Advanced Topics in Control Systems Design, Fall 2015 Syllabus SPOT
EENG 5640.001, Computer Vision and Image Analysis, Fall 2015 SPOT
EENG 5310.001, Control Systems Design, Fall 2015 SPOT
EENG 5310.605, Control Systems Design, Fall 2015 SPOT
EENG 2710.001, Digital Logic Design, Fall 2015 Syllabus SPOT
EENG 5890.003, Directed Study, Fall 2015
EENG 5900.004, Special Problems, Fall 2015
EENG 4010.001, Topics in Electrical Engineering, Fall 2015 Syllabus SPOT
EENG 5890.004, Directed Study, Summer 10W 2015
EENG 4810.001, Computer Networks, Spring 2015 Syllabus
EENG 3710.001, Computer Organization, Spring 2015 Syllabus
EENG 2710.001, Digital Logic Design, Spring 2015 Syllabus
EENG 5890.004, Directed Study, Spring 2015
EENG 5890.011, Directed Study, Spring 2015
EENG 5900.001, Special Problems, Spring 2015
EENG 5640.001, Computer Vision and Image Analysis, Fall 2014
EENG 2710.001, Digital Logic Design, Fall 2014 Syllabus
EENG 5890.003, Directed Study, Fall 2014
EENG 5900.001, Special Problems, Fall 2014
EENG 4900.005, Special Problems in Electrical Engineering, Fall 2014
EENG 4010.001, Topics in Electrical Engineering, Fall 2014 Syllabus
EENG 5890.004, Directed Study, Summer 10W 2014
EENG 5900.005, Special Problems, Summer 2014
EENG 4810.001, Computer Networks, Spring 2014 Syllabus
EENG 3710.001, Computer Organization, Spring 2014 Syllabus
EENG 5890.004, Directed Study, Spring 2014
EENG 5900.001, Special Problems, Spring 2014
EENG 5640.001, Computer Vision and Image Analysis, Fall 2013
EENG 2710.001, Digital Logic Design, Fall 2013 Syllabus
EENG 5890.003, Directed Study, Fall 2013
EENG 5900.001, Special Problems, Fall 2013
EENG 4010.001, Topics in Electrical Engineering, Fall 2013 Syllabus
EENG 5890.004, Directed Study, Summer 10W 2013
EENG 4810.001, Computer Networks, Spring 2013 Syllabus
EENG 3710.001, Computer Organization, Spring 2013 Syllabus
EENG 5890.004, Directed Study, Spring 2013
EENG 5900.001, Special Problems, Spring 2013
EENG 5640.001, Computer Vision and Image Analysis, Fall 2012
EENG 2710.001, Digital Logic Design, Fall 2012
EENG 5890.003, Directed Study, Fall 2012
EENG 5932.001, Internship, Fall 2012
EENG 4010.001, Topics in Electrical Engineering, Fall 2012 Syllabus
EENG 4810.001, Computer Networks, Spring 2012 Syllabus
EENG 3710.001, Computer Organization, Spring 2012 Syllabus
EENG 5890.004, Directed Study, Spring 2012
EENG 5950.001, Master's Thesis, Spring 2012
EENG 5640.001, Computer Vision and Image Analysis, Fall 2011
EENG 2710.002, Digital Logic Design, Fall 2011
EENG 5890.003, Directed Study, Fall 2011
EENG 5950.002, Master's Thesis, Fall 2011
EENG 4010.001, Topics in Electrical Engineering, Fall 2011 Syllabus
EENG 5890.004, Directed Study, Summer 10W 2011
EENG 5890.004, Directed Study, Summer 5W2 2011
CSCE 6950.801, Doctoral Dissertation, Summer 10W 2011
EENG 4810.001, Computer Networks, Spring 2011 Syllabus
EENG 3710.001, Computer Organization, Spring 2011 Syllabus
EENG 5890.004, Directed Study, Spring 2011
CSCE 6950.801, Doctoral Dissertation, Spring 2011
EENG 5950.001, Master's Thesis, Spring 2011
EENG 5640.001, Computer Vision and Image Analysis, Fall 2010
EENG 2710.001, Digital Logic Design, Fall 2010 Syllabus
EENG 5890.003, Directed Study, Fall 2010
CSCE 6950.801, Doctoral Dissertation, Fall 2010
CSCE 6940.801, Individual Research, Fall 2010
EENG 5932.001, Internship, Fall 2010
EENG 5950.002, Master's Thesis, Fall 2010
EENG 4010.001, Topics in Electrical Engineering, Fall 2010 Syllabus
CSCE 5934.801, Directed Study, Summer 10W 2010
CSCE 6950.801, Doctoral Dissertation, Summer 10W 2010
CSCE 6940.801, Individual Research, Summer 10W 2010
EENG 5950.003, Master's Thesis, Summer 10W 2010
EENG 4810.001, Computer Networks, Spring 2010 Syllabus
EENG 5310.001, Control Systems Design, Spring 2010
CSCE 5934.801, Directed Study, Spring 2010
EENG 5890.002, Directed Study, Spring 2010
CSCE 6940.801, Individual Research, Spring 2010
EENG 4010.003, Topics in Electrical Engineering, Spring 2010 Syllabus
EENG 5640.001, Computer Vision and Image Analysis, Fall 2009
CSCE 6940.801, Individual Research, Fall 2009
EENG 4010.001, Topics in Electrical Engineering, Fall 2009
CSCE 5934.801, Directed Study, Summer 10W 2009
EENG 5890.003, Directed Study, Summer 10W 2009
CSCE 6940.801, Individual Research, Summer 10W 2009
EENG 5950.003, Master's Thesis, Summer 10W 2009
EENG 5310.001, Control Systems Design, Spring 2009
EENG 2710.002, Digital Logic Design, Spring 2009
EENG 5950.001, Master's Thesis, Spring 2009
EENG 4010.003, Technical Elective I Advanced Topics, Spring 2009
EENG 4810.001, Computer Networks, Fall 2008
EENG 5640.002, Computer Vision and Image Analysis, Fall 2008
CSCE 5934.801, Directed Study, Fall 2008
EENG 5950.002, Master's Thesis, Fall 2008
EENG 4010.002, Technical Elective I Advanced Topics, Fall 2008
EENG 3710.001, Computer Organization, Spring 2008
EENG 2710.002, Digital Logic Design, Spring 2008
EENG 5890.001, Directed Study, Spring 2008
EENG 5950.001, Master's Thesis, Spring 2008
EENG 4010.001, Advanced Topics in Electrical Engineering I, Fall 2007
EENG 4810.002, Computer Networks, Fall 2007
EENG 5640.001, Computer Vision and Image Analysis, Fall 2007
CSCE 5950.801, Master's Thesis, Fall 2007
EENG 2910.001, Project III (Circuit Design and Analysis Using SPICE), Fall 2007
CSCE 5900.801, Special Problems, Summer 10W 2007
EENG 3710.001, Computer Organization, Spring 2007
EENG 2710.001, Digital Logic Design, Spring 2007
CSCE 5950.801, Master's Thesis, Spring 2007
EENG 2920.001, Project IV (CAD Tools and Design), Spring 2007
EENG 2710.001, Digital Logic Design, Fall 2006
EENG 2920.001, Project IV (CAD Tools and Design), Fall 2006
EENG 2710.001, Digital Logic Design, Spring 2006
EENG 2920.001, Project IV (CAD Tools and Design), Spring 2006
EENG 2710.001, Digital Logic Design, Fall 2005
CSCI 4890.801, Directed Study, Spring 2005
CSCI 3780.002, Introduction to Computer Networks, Spring 2005
CSCI 5520.001, Software Development, Fall 2004

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Abstracts and Proceedings
Guturu, P. (2006). "A Novel Invisible Color Image Watermarking Scheme using Image Adaptive Watermark Creation and Robust Insertion-Extraction," www.ee.unt.edu/public/guturu/InvWaterMkngISM06.pdf or http://ieeexplore.ieee.org/iel5/4061132/4061133/04061163.pdf?tp=&arnumber=4061163&isnumber=4061133 . Related Links: http://www.ee.unt.edu/public/guturu/InvWaterMkngISM06.pdf http://ieeexplore.ieee.org/iel5/4061132/4061133/04061163.pdf?tp.
Guturu, P. (2006). "Course Remodeling by Integration of Project-based Education with L2L Principles for Enhanced Student Learning Experience," www.ee.unt.edu/public/guturu/Paper3189PresentedInICEE06.pdf . Related Links: http://www.ee.unt.edu/public/guturu/Paper3189PresentedInICEE06.pdf.
Guturu, P. (2006). "Innovative Approaches to Electrical Engineering Education,".
Guturu, P. (2006). "Work In Progress: An Innovative Electrical Engineering Program Integrating Project-oriented and Lifelong Learning Pedagogies," . www.ee.unt.edu/public/guturu/WIP-InnoEEPgmFIE06.pdf or or http://ieeexplore.ieee.org/iel5/4116829/4116830/04117079.pdf?tp=&arnumber=4117079&isnumber=4116830 . Related Links: http://www.ee.unt.edu/public/guturu/WIP-InnoEEPgmFIE06.pdf http://www.ee.unt.edu/public/guturu/WIP-InnoEEPgmFIE06.pdf or http://ieeexplore.ieee.org/iel5/4116829/4116830/04117079.pdf?tp.
Guturu, P. (2005). Architecture and Algorithm for High Performance Fault-tolerant Replication of Sensitive Military and Homeland Security C3I Database Messages," http://ieeexplore.ieee.org/iel5/10687/33743/01605994.pdf?tp=&arnumber=1605994&isnumber=33743 . Related Links: http://ieeexplore.ieee.org/iel5/10687/33743/01605994.pdf?tp.
Guturu, P. (2003). "An Efficacious Method for Dual Band Multi-carrier Traffic llocation in CDMA Wireless Systems,".
Guturu, P. (1995). "Disparity estimation from a stereo pairs using recurrent neural networks,".
Guturu, P. (1994). "Clique Finding- A Genetic Approach,".
Guturu, P. (1992). "A Hough Transform Based Approach to Poly-line Approximation of Object Boundaries,".
Guturu, P. (1992). "On Recognition of Bengali Numerals with Back-propagation Learning,".
Guturu, P. (1991). "A Stable Learning Algorithm for Recurrent Neural Networks,".
Guturu, P. (1990). "An Abductive Inferencing Scheme for Object Recognition,".
Guturu, P. (1989). "Recognition of Partial Planar Shapes using Abductive Reasoning,".
Guturu, P. (1984). "A KNN Method for Low Sample Problems,".
Book Chapter
Guturu, P. (2008). "Computational Intelligence in Multimedia Networking and Communications- Trends and Future www.ee.unt.edu/public/guturu/CIB-16SpringerVerlag07.pdf Directions," Chapter 2 in A. E. Hassanien, J. Kacprzyk, and A. Abraham (eds.) Computational Intelligence in Multimedia Processing: Recent Advances in the Series "Studies in Computational Intelligence," Related Links: http://www.ee.unt.edu/public/guturu/CIB-16SpringerVerlag07.pdf.
Guturu, P. (2004). "Recognition of Occluded Objects with Heuristic Search," Selected Papers on Automatic Object Recognition, Ed..
Guturu, P. (1991). Recognition of Occluded Objects with Heuristic Search,". SPIE Milestone Series(MS41), . Bellingham, Wash., USA : SPIE Optical Engineering Press.
Conference Proceeding
Riley, J., Williams, S., Reyna, C., Adams, E., Depoian, A. C., Bailey, C. P., Guturu, P. (2022). Classifying the Devil in the Dust: Edge AI. 2022 IEEE MetroCon. 1-3.
Cayce, G. I., Depoian, A. C., Bailey, C. P., Guturu, P. (2022). Improved Neural Network Arrhythmia Classification Through Integrated Data Augmentation. 2022 IEEE MetroCon. 1-3.
Depoian, A. C., Adams, E., Kurz, A., Bailey, C. P., Guturu, P., Namuduri, K. (2022). Recent Advances in Entropy Based Image Compression. 2022 IEEE MetroCon. 1-3.
Kurz, A., Adams, E., Depoian, A. C., Bailey, C. P., Guturu, P. (2022). WMC-ViT: Waste Multi-class Classification Using a Modified Vision Transformer. 2022 IEEE MetroCon. 1-3.
Kim, H. J., Depoian, A. C., Cayce, G., Rivera, M., Bailey, C. P., Jaques, L. E., Guturu, P. (2022). Architecture Enhancement of Convolutional Neural Networks for Arrhythmia Classification. 2022 IEEE 15th Dallas Circuit And System Conference (DCAS). 1-6.
Xie, D., Depoian, II, A. C., Bailey, C. P., Guturu, P. (2022). A novel deep learning algorithm to process COVID-19 chest x-rays. Anomaly Detection and Imaging with X-Rays (ADIX) VII. 12104, 106 -- 112. SPIE. https://doi.org/10.1117/12.2619141
Cayce, G. I., Depoian, II, A. C., Kim, H. J., Bailey, C. P., Guturu, P. (2022). Building superior heartbeat classification datasets. Big Data IV: Learning, Analytics, and Applications. 12097, 205 -- 211. SPIE. https://doi.org/10.1117/12.2619145
Kurz, A., Adams, E., Depoian, II, A. C., Kim, H. J., Bailey, C. P., Guturu, P. (2022). Improving underwater object classification: BC-ViT. Ocean Sensing and Monitoring XIV. 12118, 132 -- 138. SPIE. https://doi.org/10.1117/12.2619134
Jaques, L. E., Depoian, II, A. C., Murrell, E., Xie, D., Bailey, C. P., Guturu, P. (2022). Novel L1 PCA informed K-means color quantization. Big Data IV: Learning, Analytics, and Applications. 12097, 151 -- 157. SPIE. https://doi.org/10.1117/12.2619139
Kim, H. J., Depoian, II, A. C., Bailey, C. P., Guturu, P. (2022). Novel neural network architecture for energy prediction. Big Data IV: Learning, Analytics, and Applications. 12097, 34 -- 38. SPIE. https://doi.org/10.1117/12.2619143
Jaques, L. E., Depoian, II, A. C., Xie, D., Bailey, C. P., Guturu, P. (2021). A machine learning approach to medical data identification through principal component analysis. Big Data III: Learning, Analytics, and Applications. 11730, 7 -- 15. SPIE. https://doi.org/10.1117/12.2586038
Depoian, A. C., Jaques, L. E., Xie, D., Bailey, C. P., Guturu, P. (2021). Neural network image fusion with PCA preprocessing. Big Data III: Learning, Analytics, and Applications. 11730, 132 -- 147. SPIE. https://doi.org/10.1117/12.2588039
Xie, D., Depoian, II, A. C., Jaques, L. E., Bailey, C. P., Guturu, P. (2021). Novel technique for broadcast footage overlay text recognition. Real-Time Image Processing and Deep Learning 2021. 11736, 149 -- 155. SPIE. https://doi.org/10.1117/12.2588177
Depoian, II, A. C., Jaques, L. E., Xie, D., Bailey, C. P., Guturu, P. (2020). Computer vision learning techniques for sports video analytics: removing overlays. Big Data II: Learning, Analytics, and Applications. 11395, 61 -- 72. SPIE. https://doi.org/10.1117/12.2560888
Guturu, P. (2008). "FPGA Implementation of an 8-bit Simple Processor,".
Mohanty, S., Guturu, P., Kougianos, E., Pati, N. (2006). A novel invisible color image watermarking scheme using image adaptive watermark creation and robust insertion-extraction. Multimedia, 2006. ISM’06. Eighth IEEE International Symposium on. 153–160.
Guturu, P. (1996). "La Segmentation d'images par System la base de Connaissances (Image Segmentation by a Knowledge Based System),".
Guturu, P. (1995). "A recurrent Neural Network Approach to shortt-term load forecasting in electric power system.
Journal Article
Mohanty, S., Kougianos, E., Guturu, P. (2018). SBPG: Secure Better Portable Graphics for Trustworthy Media Communications in the IoT. IEEE Access. 6, 5939--5953. IEEE.
Mohanty, S., Sengupta, A., Guturu, P., Kougianos, E. (2017). Everything You Want to Know About Watermarking: From Paper Marks to Hardware Protection: From paper marks to hardware protection.. IEEE Consumer Electronics Magazine. 6(3), 83--91. IEEE.
Mohanty, S., Sengupta, A., Guturu, P., Kougianos, E. (2017). Everything You Wanted to Know About Watermarking. IEEE Consumer Electronics Magazine. 7(3), 83-91. IEEE.
Guturu, P. (2017). Explosive Wireless Consumer Demand for Network Bandwidth: Fifth Generation and Beyond. IEEE Consumer Electronics Magazine. 6(2), 27-31. IEEE Consumer Electronics Society.
Guturu, P. (2012). Yao Shen, Parthasarathy Guturu, and Bill P. Buckles, "Wireless Capsule Endoscopy for Video Segmentation using an Unsupervised Learning Approach based on Probabilistic Latent Semantic analysis and Scale invariant Features, IEEE Transactions on Information Technology in Biomedicine, Vol. 16, No. 1, January 2012, pp. 98-105..
Guturu, P. (2011). An Innovative Project and Design Oriented Curriculum at UNT, ASEE Journal of Engineering Education, Summer-2011, pp. 1-34.
Guturu, P. (2011). Mohamed Fazeen, Ram Dantu, and Parthasarathy Guturu, Identification of "Leaders, Lurkers, Associates and Spammers in a Social Network: Context-Dependant and Context-Independent Approaches," International Journal of Social Network Analysis and Mining, Vol. 1, No. 3, 2011, pp. 241-254..
Dantu, R., Guturu, P. (2011). Identification of leaders, lurkers, associates and spammers in a social network: context-dependent and context-independent approaches. 1(3), 241–254. Social Network Analysis and Mining. https://link.springer.com/article/10.1007/s13278-011-0017-9
Guturu, P. (2009). "Video Stabilization Using Principal Component Analysis and Scale Invariant Feature Transform in Particle Filter Framework," Vol. 55, No. 3, IEEE Trans. Consumer electronics, March 2009, pp. 1714 - 1721 ..
Guturu, P. (2009). Parthasarathy Guturu, "Industry-Strength Innovative Algorithms for Highly Available Data and Voice Networking," Recent Patents in Electrical Engineering, No.2, July 2009, pp. 168—181..
Guturu, P. (2008). "An Impatient Evolutionary Algorithm with Probabilistic Tabu Search for Unified Solution of Some NP Hard Problems in Graph and Set Theory via Clique Finding,"http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4459184&isnumber=4522590 Related Links: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber.
Guturu, P. (2008). "Particle Filter Based Object Tracking with Discriminative Feature Extraction and Fusion,".
Guturu, P. (2007). "Message Replication and Consumer Database Synchronization Algorithms and System for Highly Available High Performance Intelligent Networks," www.ee.unt.edu/public/guturu/MsgReplicationIEEEConsElectronics.pdf Related Links: http://www.ee.unt.edu/public/guturu/MsgReplicationIEEEConsElectronics.pdf.
Guturu, P. (2006). "A Class of Call-fail-safe and Distribution-Effective Multi-Band Multi-carrier Traffic Allocation Methods for Wireless Systems of Third Generation and Beyond," www.ee.unt.edu/public/guturu/MBTA-IEEETransWirCom06.pdf or or http://ieeexplore.ieee.org/iel5/7693/33837/01611088.pdf?tp=&arnumber=1611088&isnumber=33837 Related Links: http://www.ee.unt.edu/public/guturu/MBTA-IEEETransWirCom06.pdf http://www.ee.unt.edu/public/guturu/MBTA-IEEETransWirCom06.pdf or http://ieeexplore.ieee.org/iel5/7693/33837/01611088.pdf?tp.
Guturu, P. (1998). "A Recurrent Neural Network Approach for Ill-posed Problems in Computer Vision,".
Guturu, P. (1996). "An Abductive Reasoning Based Image Interpretation System".
Guturu, P. (1995). "A Neural Network Approach to Photometric Stereo Inversion of real-World Reflectance Maps for Extraction of 3-D Shapes of Objects,".
Guturu, P. (1993). "A new approach for aggregating Edge Points into Line Segments,".
Guturu, P. (1993). "An Abductive Formalism for 2-D Object Recognition,".
Guturu, P. (1992). "A Quadratic Classifier for High Dimensional/Periodic Measurement PR Problems,".
Guturu, P. (1991). "A Framework for Image Interpretation in a Distributed Problem Solving environment,".
Guturu, P. (1991). "A Heuristic Search Approach to Shape Matching in Image Sequences,".
Guturu, P. (1990). "A Class of New KNN Methods for Low Sample Problems,".
Guturu, P. (1990). "Knowledge Based Approach to Cluster Algorithm Selection,".
Guturu, P. (1990). "Recognition of Occluded Objects with Heuristic Search,".
Guturu, P. (1990). "Recognition of Partial Planar Shapes in Limited Memory Environments,".
Guturu, P. (1986). "The use of Data Windows in Feature Extraction for High Dimensional PR Problems,".
Guturu, P. (1981). "A Multistage Decision Method for Two-dimensional Data Reduction,".

Awarded Grants

Contracts, Grants and Sponsored Research

Grant - Research
Guturu, P. (Co-Principal), Dantu, R. (Principal), Kavi, K. M. (Co-Principal), "Collaborative Research: CRI: IAD: A Testbed for Research and Development of Next Generation 9-1-1 Services," Sponsored by NSF, Federal, $385000 Funded. (September 01, 2008August 31, 2014).
Guturu, P. (Co-Principal), Dantu, R. (Principal), Kavi, K. M. (Co-Principal), "MRI: Development of a Flexible Instrument and Tools for Experimental Research in Next-Generation 9-1-1 Services," Sponsored by NSF, Federal, $400000 Funded. (August 1, 2008July 31, 2013).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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