Multiple Research Assistant Positions Available for Students
M. H. Rahman£, L. Martinez£,$, A. Mishra*, M. Nijim, A. Goyal, D. Hicks, “AI2DS: Advanced Deep Autoencoder-Driven Method for Intelligent Network Intrusion Detection Systems”, 4th Interdisciplinary Conference on AI in Cybersecurity (ICAIC) 2025
B. K. Devisetty, A. Goyal*, A. Mishra, M. Nijim, D. Hicks, G. Toscano, “A Hybrid Regression-Based Network Model for Continuous Face Recognition and Authentication”, International Journal of Advanced Computer Science and Applications (IJACSA), 2024
V. N. K. Sykam, A. Goyal*, M. Nijim, A. Mishra, D. Hicks, “AVTAR Cyber Shield: A Forward-Looking Cybersecurity Framework for Cyber-Physical Environment”, The 2024 IEEE Conference on Circuit, System, and Communication (ICCSC 2024), 2024
M. H. Rahman£, L. Martinez£,$, A. Mishra*, M. Nijim, A. Goyal, D. Hicks, “Enhancing Intrusion Detection through Deep Learning and Generative Adversarial Network”, 4th Interdisciplinary Conference on Electrics and Computer (INTCEC), 2024
A. Palacios$, P. Acharya$, A. Peidl, M. Beck, E. Blanco, A. Mishra, T. Bawa-Khalfe, S. Pakhrin*, “SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model”, Oxford Academic, NRA Genomics and Bioinformatics Journal, 2024
M.W. Kabir, D. Alawad, A. Mishra, M.T. Hoque*, “TAFPred: Torsion Angle Fluctuation Prediction from Protein Sequences”, Biology Journal of MDPI, 2023
M.W. Kabir, D. Alawad, A. Mishra*, M.T. Hoque*, “Prediction of Phi and Psi Angles from Protein Sequence”, IEEE CIBCB 2023
D. Yadav, A. Jalal, A. Goyal, A. Mishra, K. Uprety, and N. Guragai, “COVID-19 Radiograph Prognosis Using A Deep CResNeXt Network”, Multimedia Tools and Applications Journal, Springer 2023
M. Nijim, H. Al-Bataineh, V. Kanumuri, A. Goyal, A. Mishra, D. Hicks, "Countering Cybersecurity Threats in Smart Grid Systems Using Machine Learning", Emerging Trends in Cybersecurity Applications, 2022 [Book Chapter]
M. Nijim, H. Al-Bataineh, V. Kanumuri, A. Mishra, “A New Approach for Deep Analysis and Prediction of Smart Grid Stability and Theft Using Machine Learning”, The 2022 World Congress in Computer Science, Computer Engineering, and Applied Computing, 2022 [Accepted for Presentation and Publication]
S. Lailvaux, A. Mishra, P. Pun, M. W. Kabir, R. Wilson, A. Herrel, and M.T. Hoque “Machine Learning Accurately Predicts Multivariate Phenotype from Morphology in Lizards”, PLOS One, 2022
M. Nijim, A. Goyal, A. Mishra, and D. Hicks “A Review of Artificial Intelligence and Machine Learning Methods for Cyber Security Applications”, Book Chapter, Advances in Nature-inspired Cyber Security and Resilience. Springer 2022
A. Mishra, A. Goyal, D. Hicks, H Al-Bataineh, and M. Nijim “Cyber Intelligence: A Minor Program for the Next Generation Cybersecurity Workforce”, 20th International Conference on Security and Management (SAM'21), 2021 [Accepted for presentation and publication]
M. Panta, A. Mishra, M.T. Hoque, and J. Attallah “ClassifyTE: A Stacking based Prediction of Hierarchical Classification of Transposable Elements”, Oxford Bioinformatics, 2021
A. Mishra, R. Khanal*, M.W. Kabir, and M.T. Hoque “AIRBP: Accurate Identification of RNA-binding Proteins Using Machine Learning Techniques ”, Artificial Intelligence in Medicine Journal, Elsevier 2021
A. Mishra, M.W. Kabir, and M.T. Hoque “diSBPred: A Machine Learning based Approach for Disulfide Bond Prediction ”, Computational Biology and Chemistry Journal, Elsevier 2021
M. Bhatt$, A. Mishra, M.W. Kabir, E.R. Blankenship$, R. Rajendra$, M.T. Hoque “Hierarchy based File Fragment Classification”, Machine Learning & Knowledge Extraction Journal of MDPI, 2020
D. Alawad, A. Mishra, M.T. Hoque, “AIBH: Accurate Identification of Brain Hemorrhage using Genetic Algorithm based Feature Selection and Stacking”, Machine Learning & Knowledge Extraction Journal of MDPI, 2020
S. Gattani, A. Mishra, and M.T. Hoque, “StackCBPred: A Stacking based Prediction of Protein-Carbohydrate Binding Sites from Sequence”, Carbohydrate Research Journal, Elsevier Journal, 2019
A. Mishra, M.T. Hoque, “3DIGARS-PSP: A Novel Statistical Energy Function and Effective Conformational Search Strategy based ab initio Protein Structure Prediction”, 22nd International Conference on Computer and Informational Technology (ICCIT), Dhaka, Bangladesh, 2019
M. Panta, A. Mishra, M.T. Hoque, and J. Atallah, “Machine Learning based Prediction of Hierarchical Classification of Transposable Elements”, BIOKDD Conference, Alaska, 2019
M. Flot, A. Mishra, A.S. Kuchi and M.T. Hoque, StackSSSPred: A Stacking based Prediction of Supersecondary Structure from Sequence, Book Chapter (Chapter 5, pp 101-122), Protein Supersecondary Structures, Methods in Molecular Biology, vol 1958, Humana Press, New York, NY, 2019
A. Mishra and M.T. Hoque, “Three-Dimensional Ideal Gas Reference State based Energy Function for Flexible Proteins”, The 7th Annual Conference on Computational Biology and Bioinformatics, Louisiana, 2019
D. Alawad, A. Mishra and M.T. Hoque, “Effective Brain Hemorrhage Diagnosis from Image Using Machine Learning Approach”, The 7th Annual Conference on Computational Biology and Bioinformatics, Louisiana, 2019
S. Lailvaux, A. Mishra, M.T. Hoque, and R. Wilson “A Machine Learning Approach to Predicting the Multivariate Performance Phenotype”, Annual Meeting of the Society-for-Integrative-and-Comparative-Biology (SICB), Tampa FL, 2019
P. Pun*, A. Mishra, S Lailvaux and M.T. Hoque, “A Machine Learning Approach to Functional Morphology and Performance Prediction”, The 7th Annual Conference on Computational Biology and Bioinformatics, Louisiana, 2019
A. Mishra, R. Khanal*, and M.T. Hoque, “Accurate Identification of RNA-binding Proteins (AIRBP) Using Machine Learning Techniques”, The 7th Annual Conference on Computational Biology and Bioinformatics, Louisiana, 2019
M. Panta, A. Mishra, M.T. Hoque, and J. Atallah “Prediction of Hierarchical Classification of Transposable Elements using Machine Learning Techniques”, The 7th Annual Conference on Computational Biology and Bioinformatics, Louisiana, 2019
P. Pokhrel$, A. Mishra, and M.T. Hoque, ""Prediction of DNA Binding Residues from Sequences using Machine Learning Techniques, The 7th Annual Conference on Computational Biology and Bioinformatics, Louisiana, 2019
S. Iqbal, A. Mishra, Y. Mamidi, and M.T. Hoque, “A Genetic Algorithm with Adaptive and Memory-Assisted Local Operators”, The 7th Annual Conference on Computational Biology and Bioinformatics, Louisiana, 2019
A. Mishra, M.T. Hoque, “A Novel Statistical Energy Function and Effective Conformational Search Strategy based ab initio Protein Structure Prediction”, CASP13 Proceedings, 2018, pp. 175-176.
A. Mishra, M.T. Hoque, “A Novel Statistical Energy Function and Effective Conformational Search Strategy based Protein Complex Structure Prediction”, CASP13 Proceedings, 2018, pp. 177-178.
A. Mishra, M.T. Hoque, “A Novel Statistical Energy Function and Effective Conformational Search Strategy based Refinement of Protein Structure”, CASP13 Proceedings, 2018, pp. 179-180.
A. Mishra, P. Pokhrel*, and M.T. Hoque, “StackDPPred: A Stacking based Prediction of DNA-binding Proteins from Sequence”, Oxford Bioinformatics Journal, 2018
A. Mishra, R. Khanal*, and M.T. Hoque, “Prediction of RNA-binding Protein using Machine Learning Technique”, The 6th Annual Conference on Computational Biology and Bioinformatics, Louisiana, 2018