Mishra, Avdesh
individual record
TEES Researcher at TAMU-Kingsville
Positions:
- Associate Professor of Computer Science, Texas A&M University - Kingsville - (Kingsville, Texas, United States)
- TEES Researcher at TAMU-Kingsville, TEES Regional Divisions, Texas A&M Engineering Experiment Station (TEES)
education and training
- Ph.D. in Computer Science, University of New Orleans - (New Orleans, Louisiana, United States) 2019
- M.S. in Computer Science, University of New Orleans - (New Orleans, Louisiana, United States) 2015
- B.S. in Computer Engineering, Tribhuvan University - (Kathmandu, Nepal) 2011
selected publications
Academic Articles14
- Kabir, M., Alawad, D. M., Mishra, A., & Hoque, M. T. (2023). TAFPred: Torsion Angle Fluctuations Prediction from Protein Sequences.. Biology. 12(7), 1020-1020.
- Lailvaux, S. P., Mishra, A., Pun, P., Ul Kabir, M. W., Wilson, R. S., Herrel, A., & Hoque, M. T. (2022). Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards.. PLoS ONE. 17(1), e0261613-e0261613.
- Panta, M., Mishra, A., Hoque, M. T., & Atallah, J. (2021). ClassifyTE: a stacking-based prediction of hierarchical classification of transposable elements.. Bioinformatics. 37(17), 2529-2536.
- Mishra, A., Kabir, M., & Hoque, M. T. (2021). diSBPred: A machine learning based approach for disulfide bond prediction.. Computational Biology and Chemistry. 91, 107436-107436.
- Mishra, A., Khanal, R., Kabir, W. U., & Hoque, T. (2021). AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques.. Artificial Intelligence in Medicine. 113, 102034-102034.
Chapters3
- Nijim, M., Albataineh, H., Kanumuri, V., Goyal, A., Mishra, A., & Hicks, D. (2023). Countering Cybersecurity Threats in Smart Grid Systems Using Machine Learning. Emerging Trends in Cybersecurity Applications. 301-322. Springer Nature.
- Nijim, M., Goyal, A., Mishra, A., & Hicks, D. (2022). A Review of Nature-Inspired Artificial Intelligence and Machine Learning Methods for Cybersecurity Applications. EAI/Springer Innovations in Communication and Computing. Advances in Nature-Inspired Cyber Security and Resilience. 109-118. Springer Nature.
- Flot, M., Mishra, A., Kuchi, A. S., & Hoque, M. T. (2019). StackSSSPred: A Stacking-Based Prediction of Supersecondary Structure from Sequence.. Methods in molecular biology (Clifton, N.J.). Protein Supersecondary Structures. 101-122. Springer Nature.
Conference Papers2
- Kabir, W. U., Alawad, D. M., Mishra, A., & Hoque, T. (2023). Prediction of Phi and Psi Angle Fluctuations from Protein Sequences. 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 00, 1-6.
- Mishra, A., & Hoque, T. (2019). 3DIGARS-PSP: A Novel Statistical Energy Function and Effective Conformational Search Strategy based ab initio Protein Structure Prediction. 2019 22nd International Conference on Computer and Information Technology (ICCIT). 00, 1-7.
Email
avdesh.mishra@tamuk.edu
First Name
Avdesh
Last Name
Mishra