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Electrical Engineering and Computer Science

Faculty and Staff

Dr. Ayush Goyal

Assistant Professor of Computer Science

Education:

  • Ph.D., Computer Science University of Oxford, Oxford, U.K. 2013
  • B.S., Electrical Engineering Boise State University (BSU), Boise, I.D., U.S.A. 2005

Awards & Grants:

  • Early Career Faculty Awardee and Co-PI, Department of Homeland Security (DHS) Scientific Leadership Award (SLA), "Building Cyber Intelligence Workforce Through AI-Based Cybersecurity Education and Training," 2021.

Professional Service:

  • Local Chair, Knowledge Graph and Semantic Web Conference (KGSWC-2021)  http://www.kgswc.org/iberoamerican-conferences/

Research interest:

  • Biomedical engineering; Biomedical signal and image processing; Bioinformatics; Computer vision; Machine learning

Courses taught:

  • Undergraduate courses: Special Problems, Web Mobile App Dev, IOS Mobile App Dev, Computer Graphics, Database Systems, Object-Oriented Programming, Introduction to Computer Science, Learning in Global Context I 
  • Graduate Courses:– Software Engineering, Computer Communication Networks, Database Systems, Thesis, Graduate Research Project, Bioinformatics Computing, Broadband Networks, Cloud Computing, Mobile App Programming, Studies on Current Research 

Selected Publications:

  • Goyal, A., Lee, J., Lamata, P., van den Wijngaard, J., van Horssen, P., Spaan, J., & Smith, N. P. “Model-based vasculature extraction from optical fluorescence cryomicrotome images.” IEEE Transactions on Medical Imaging, vol. 32, no. 1,pp. 56-72, 2013.

  • Goyal, A. “Image-based Clustering and Connected Component Labeling for Rapid Automated Left and Right Ventricular Endocardial Volume Extraction and Segmentation in Full Cardiac Cycle Multi-frame MRI Images of Cardiac Patients.” Medical & Biological Engineering & Computing, Springer, vol. 57, no. 6, pp.1213-1228, 2019.

  • Gaurav, D., Tiwari, S.M., Goyal, A., Gandhi, N. and Abraham, A. “Machine intelligence-based algorithms for spam filtering on document labeling.” Soft Computing, Springer, https://doi.org/10.1007/s00500-019-04473-7, pp.1-14, 2019.

  • Yadav, D.P., Sharma, A., Singh, M. and Goyal, A. “Feature Extraction Based Machine Learning for Human Burn Diagnosis from Burn Images.” IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, art. no. 1800507, DOI: 10.1109/JTEHM.2019.2923628, pp.1-7, 2019.

  • Michler, C., Cookson, A. N., Chabiniok, R., Hyde, E., Lee, J., Sinclair, M., Sochi, T., Goyal, A., Vigueras, G., Nordsletten, D.A., Smith, N.P. “A computationally efficient framework for the simulation of cardiac perfusion using a multicompartment Darcy porous media flow model.” International Journal for Numerical Methods in Biomedical Engineering, Wiley, vol. 29, no. 2, pp. 217-232, 2013.

  • Hyde, E.R., Cookson, A.N., Lee, J., Michler, C., Goyal, A., Sochi, T., Chabiniok, R., Sinclair, M., Nordsletten, D.A., Spaan, J., van den Wijngaard, J.P.H.M., Siebes, M., & Smith, N.P. “Multi-Scale Parameterisation of a Myocardial Perfusion Model Using Whole-Organ Arterial Networks.” Annals of Biomedical Engineering, Springer, vol. 42, no. 4, pp. 797-811, 2014.

  • Goyal, A., Tirumalasetty, S., Hossain, G., Challoo, R., Arya, M., Agrawal, R., Agrawal, D. “Development of a Standalone Independent Graphical User Interface for Neurological Disease Prediction with Automated Extraction and Segmentation of Gray and White Matter in Brain MRI Images.” Journal of Healthcare Engineering, vol. 2019, Article ID 9610212, https://doi.org/10.1155/2019/9610212, 2019.

  • Chatrati, S.P., Hossain, G., Goyal, A., Bhattacharya, S., Bhan, A., Gaurav, D. and Tiwari, S.M. “Smart Home Health Monitoring System for Predicting Type 2 Diabetes and Hypertension.” JKSU - Computer and Information Sciences, Elsevier, https://doi.org/10.1016/j.jksuci.2020.01.010 (in press), 2020.

  • Sikarwar, B.S., Roy, M.K., Ranjan, P., Goyal, A. “Automatic Disease Screening Method Using Image Processing for Dried Blood Microfluidic Drop Stain Pattern Recognition.” Journal of Medical Engineering and Technology, Taylor & Francis, vol. 40, no. 5, pp. 245-254, 2016.

  • Dubey, A., Sharma, P., Goyal, A. “Efficient Computing in Image Processing and DSPs with ASIP Based Multiplier.” Recent Patents on Engineering, Bentham Science, vol. 13, no. 2, DOI: 10.2174/187221211266618081015035, pp. 174-180, 2018.

Contact Information:

EC 306
Department of Electrical Engineering and Computer Science
MSC 192 Texas A&M University-Kingsville
Kingsville, Texas 78363-8202
voice: (361) 593-2630
fax: (361) 593-4026
email: ayush.goyal@tamuk.edu

Dr. Ayush Goyal