• Ph.D, Mississippi State University, 2010
• M.Tech, Birla Institute of Technology, 2006
• B.Tech, Jawaharlal Nehru Technological University, 2003

Balakrishna Gokaraju received the B.Tech. degree in Electronics and Communication Engineering from J.N.T.U. Hyderabad, India, in 2003 and the M.Tech. degree in Remote Sensing from Birla Institute of Technology, Ranchi, India, in 2006. He also received his Ph.D. degree in Electrical and Computer Engineering at Mississippi State University, Mississippi State, MS, U.S.A. in 2010.

He is currently employed as Assistant Professor in the Department of CIS and Technology at COB, UWA. He teaches electrical and electronics courses for under graduates in industrial maintenance and industrial technology academic programs. Prior to this he worked as Post Doctoral Associate in the GeoSystems Research Institute at Mississippi State University's High Performance Computation Collaboratory. His research interests include but not only limited to pattern recognition, machine learning, spatio-temporal data mining, adaptive signal processing. His research experience describes the development of various algorithms towards automatic target detection, classification, and prediction in the application domains of Multi-spectral, Hyper-spectral and Radar remote sensing. He also developed several XML schemas for standardization of image information mining language systems via OGC Web Services Framework. Various object oriented approaches were developed by exploiting the very high-resolution satellite sensor data for their potential in urban remote sensing studies. High performance computing using hybrid CPU-GPU architectures are also investigated for scientific applications. He also published in many peer-reviewed journals and international conferences.

Dr. Gokaraju is an active reviewer for various journals and conferences, including Journal of Applied Geography by Elsevier Publications, International Journal of Image and Data Fusion by Taylor and Francis, Oxford, UK, and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), by IEEE Geoscience and Remote Sensing Society. IEEE Transactions in Geoscience and Remote Sensing, IEEE Letters in Geoscience and Remote Sensing.

TY 242 AC/DC Circuits
TY 243 Solid State /Digital Electronics
TY 244 Electric Motor Controls
TY 245 Elector Mechanical Controls
TY 246 Programmable Logic ControlsBA 371 Advanced Business Statistics

College of Business Recruitment Committee
Office of Sponsored Programs Advisory Committee

• Encourage UnderGraduate STEM related Research Practice
• Developed research based simulation tools for better understanding of Under Graduate science and technology education concepts in Turbulent Flows, Geographic Information Systems and Digital Image Processing.
   Image Processing: Image Segmentation, Automatic Feature Extraction, Automatic Feature Classification, Performance Evaluation and Optimization
• Machine Learning: Pattern Recognition, Spatio-Temporal Data Mining, Auto-regression, Modeling, Genetic Algorithms
• Remote Sensing : Automatic Image Registration, Data and Decision Fusion, Spectral Analysis, GIS Analysis
• High Performance Computing: GPU-CUDA Programming
• Digital System Design: Verilog Schematic Designs, Digital Module Programming, External Hardware Interfaces, programming PIC micro-controller(PIC 18F242), Robotic Project Designs.

• Sponsored Funding Grant by the Department of Labor for Employment Training and Administration towards STEM disciplines worth of $2.2 Million in Fall 2012 for a period of 18 months
•  Hybrid CPU/GPU  Parallelization of a Pseudo-Spectral Solver for Direct Numerical Simulations of Transitional Flows
•  Devise novel landslide detection approaches on earthen levees of Mississippi river, using airborne synthetic aperture radar data from NASA’s UAVSAR sensor. This project is funded by Southeast Region Research Initiative (SERRI)
•  Development of a Graphics User Interface (GUI) Based Research Tool for Decision Support System for Wildfire Management and Prevention
•  Development of Computational Fluid Dynamics Experiment Lab for Turbulent Flow Simulations and Analysis
•  Development of Sensor and Decision Fusion approaches for Urban Remote Sensing using Optical, SAR and LiDAR datasets.

Peer Reviewed Journal Publications:

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5701668&isnumber=5997340

[2].   Gokaraju, B.; Durbha, S.S.; King, R.L.; Younan, N.H.; , "Ensemble Methodology Using Multistage Learning for Improved Detection of Harmful Algal Blooms," Geoscience and Remote Sensing Letters, IEEE , vol.9, no.5, pp.827-831, Sept. 2012, doi: 10.1109/LGRS.2011.2182032. [Citations]: 0

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6153049&isnumber=6205680

[3].   Turlapaty, A.; Gokaraju, B.; Qian Du; Younan, N.H.; Aanstoos, J.V.; , "A Hybrid Approach for Building Extraction From Spaceborne Multi-Angular Optical Imagery," Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of , vol.5, no.1, pp.89-100, Feb. 2012, doi: 10.1109/JSTARS.2011.2179792. [Citations]: 1

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6122461&isnumber=6157671

[4].   Gokaraju, B., Nobrega, R. A. A, Prasad, S., Aanstoos, J.V., Dabbiru, L., and Mahrooghy, M., “Automatic Classification of Land Slides in the Earthen Levees of Mississippi River using Multi-Temporal High Resolution UAVSAR Sensor Data” Remote Sensing Environment, Elsevier Publications, submitted

Peer Reviewed Conference Publications:

[5].         Doss, D. A; McElreath, D; Gokaraju, B.; Henley, R and Lande, U; New Mexico: Investigating Pearson Correlation Coefficient Outcomes Concerning U.S. Border Crossing Data Versus US Reported Cybercrime Incidents During 2001-2011, “Southern Criminal Justice Association Annual Conference,” Florida, Sept. 26-29, 2012.

URL : www.scja.net/preliminary_program_2012.pdf

[6].         Gokaraju, B.; Durbha, S.S.; King, R.L.; Younan, N.H.; , "AN improved ensemble appraoch with Probabilistic Neural Network-Combinational algorithm," Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International , vol., no., pp.3430-3433, 25-30 July 2010, doi: 10.1109/IGARSS.2010.5650373. [Citations]: 1

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5650373&isnumber=5648802

[7].         Gokaraju, B., Durbha, S.S., King, R.L., Younan, N.H., , "Sensor web and data mining approaches for Harmful algal bloom detection and monitoring in the Gulf of Mexico region," Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009 , vol.3, no., pp.III-789-III-792, 12-17 July, 2009, doi: 10.1109/IGARSS.2009.5417885. [Citations]: 1

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5417885&isnumber=5417750

[8].         Dabbiru, L., Aanstoos, J.V., Mahrooghy, M., Gokaraju, B., Nobrega, R. A. A., Younan, N. H., “Characterizing Levees Using Polarimetric and Interferometric Synthetic Aperture Radar Imagery,” American Geophysical Union Fall Meeting, Sanfrancisco, California, 5-9 DEC, 2011.

URL : http://adsabs.harvard.edu/abs/2011AGUFMNH13E1431D

[9].         Gokaraju, B.; Durbha, S.S.; King, R.L.; Younan, N.H.; , "Investigation of evolutionary feature subset selection in multi-temporal datasets for harmful algal bloom detection," Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the , vol., no., pp.149-152, 12-14 July, 2011, doi: 10.1109/Multi-Temp.2011.6005070

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6005070&isnumber=6005026

[10].      Gokaraju, B.; Durbha, S.S.; King, R.L.; Younan, N.H.; , "Comprehensive performance analysis of Spatio-Temporal Data Mining approach on multi-temporal coastal remote sensing datasets," Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International , vol., no., pp.2153-2156, 24-29 July 2011, doi: 10.1109/IGARSS.2011.6049592

URL:  http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6049592&isnumber=6048881

[11].      Bhushan, S., Gokaraju, B., Kandasamy, N., and Walters, D. K., “Heterogeneous CPU/GPU  Parallelization of a Pseudo-Spectral Solver for Direct Numerical Simulations of Transitional Flows,” International Paralell Computational Fluid Dynamics Conference, Atlanta,USA,21-25th May, 2012.

[12].      Durbha, S.S., King, R.L., Gokaraju, B., Younan, N.H.,, "A Proposal for the Standardization of Image Information Mining Systems via OGC Web Services Framework," Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International , vol.3, no., pp.III-648-III-651, 7-11 July, 2008, doi: 10.1109/IGARSS.2008.4779431. [Citations]: 1

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4779431&isnumber=4779256

[13].      Palacharla, P.K., Durbha, S.S., King, R.L., Gokaraju, B., Lawrence, G.W., "A hyperspectral reflectance data based model inversion methodology to detect reniform nematodes in cotton," Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the , vol., no., pp.249-252, 12-14 July 2011,  doi: 10.1109/Multi-Temp.2011.6005095

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6005095&isnumber=6005026

[14].      Aanstoos, J.V.; Hasan, K.; O'Hara, C.G.; Prasad, S.; Dabbiru, L.; Mahrooghy, M.; Gokaraju, B.; Nobrega, R.; , "Earthen levee monitoring with Synthetic Aperture Radar," Applied Imagery Pattern Recognition Workshop (AIPR), 2011 IEEE , vol., no., pp.1-6, 11-13 Oct. 2011, doi: 10.1109/AIPR.2011.6176370

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6176370&isnumber=6176336

[15].      Gokaraju  B, Jayanthi S.C, Neelakantan K, Raghavswamy V, Bapiraju S, and Nathawat M. S, “Automatic extraction of man-made objects from high-resolution satellite data in urban areas,” Proceedings of 25th Indian Society of Remote Sensing Annual Symposium, 6-9 DEC, 2005. ISRS, India.

[16].      Gokaraju B, “Digital Watermarking Technique in protection of Map data or Rasterized data,” Proceedings of National Seminar on Role of Geoinformatics in Decentralized Planning for Better Governance. 24-26 OCT, 2004, Ranchi, India.

[17].      Mahrooghy, M., Aanstoos, J.V., Prasad, S., Gokaraju, B., and Younan, N. H., “The Land Slide Detection Using TerraSAR-X over Earthen Levees,” Xxii International Societ of Photogrammetry and Remote Sensing Congress, Melbourne, Australia, 25 Aug -1 Sep, 2012.

•  Bhushan, S., Gokaraju, B., Kandasamy, N., and Walters, D. K., “Heterogeneous CPU/GPU  Parallelization of a Pseudo-Spectral Solver for Direct Numerical Simulations of Transitional Flows,” International Paralell Computational Fluid Dynamics Conference, Atlanta,USA,21-25th May, 2012.
•  Gokaraju, B., Durbha, S. S., King, R., & Younan, N. H. (2009). Spatio-temporal Data Mining Approach for Detection of Harmful Algal Blooms in the Gulf of Mexico. Proceedings of Graduate Student Association Symposium. Starkville, MS; Mississippi State University.
• Dabbiru, L., Aanstoos, J.V., Mahrooghy, M., Gokaraju, B., Nobrega, R. A. A., Younan, N. H., “Characterizing Levees Using Polarimetric and Interferometric Synthetic Aperture Radar Imagery,” American Geophysical Union Fall Meeting, Sanfrancisco, California, 5-9 DEC, 2011.
•  Doss, D. A; McElreath, D; Gokaraju, B.; Henley, R and Lande, U; New Mexico: Investigating Pearson Correlation Coefficient Outcomes Concerning U.S. Border Crossing Data Versus US Reported Cybercrime Incidents During 2001-2011, “Southern Criminal Justice Association Annual Conference,” Florida, Sept. 26-29, 2012.

• ¹Bhushan, S., ²Gokaraju, B., ³Kandasamy, N., and ¹Walters, D. K., “Hybrid CPU/GPU  Parallelization of a Pseudo-Spectral Solver for Direct Numerical Simulations of Transitional Flows,” Director Discretionary Award from Oakridge Research National Laboratories- Oakridge Leadership Computing Facility under project title: TUR#023
• Collaborators: 1-Mississippi State University; 2- University of West Alabama; 3- Drexel University
•  Co- PI in the Sponsored Funding Grant by the Department of Labor for Employment Training and Administration of $2.2 Million in Fall 2012 for a period of 18 months.

Manuscript Reviewer:

• Journal of Applied Geography by Elsevier Publications
• International Journal of Image and Data Fusion by Taylor and Francis, Oxford, UK.
• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), by IEEE Geoscience and Remote Sensing Society.
• International Journal of  multi sensor and multi source information fusion by Elsevier Publications
• IEEE Transactions on Geoscience and Remote Sensing, by IEEE Geoscience and Remote Sensing Society.

Awards: Certificate of Appreciation from International Journal of Image and Data Fusion in recognition of dedication to the academic review process.