Skip to main content

Rajeev K. Azad

Title: Professor

Department: Biological Sciences

College: College of Science

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Jawaharlal Nehru University, New Delhi, 2002
    Major: Mathematical Modeling of Nonlinear Biological and Physical Systems
    Dissertation: Symbolic Sequences as Representations of Complex Systems
  • MPhil, Jawaharlal Nehru University, New Delhi, 1998
    Major: Mathematical Modeling of Nonlinear Biological and Physical Systems
    Dissertation: "Study of Chaotic Time Signals to Determine Whether They Arise from the Same Underlying Dynamics"

Current Scheduled Teaching

BIOL 4815.001BioinformaticsSpring 2025
BIOL 5815.001BioinformaticsSpring 2025
MATH 4815.001BioinformaticsSpring 2025
MATH 6950.731Doctoral DissertationSpring 2025
MATH 5700.002Selected Topics in Contemporary MathematicsSpring 2025
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2024 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2024 SPOT
BIOC 6950.747Doctoral DissertationFall 2024
MATH 6950.708Doctoral DissertationFall 2024
BIOL 6940.747Individual ResearchFall 2024
BIOL 5910.747Special ProblemsFall 2024
MATH 6710.001Topics in Applied MathematicsFall 2024 SPOT

Previous Scheduled Teaching

BIOL 6950.747Doctoral DissertationSummer 10W 2024
BIOL 4815.001BioinformaticsSpring 2024 Syllabus SPOT
BIOL 4815.001BioinformaticsSpring 2024 Syllabus SPOT
BIOL 5815.001BioinformaticsSpring 2024 SPOT
BIOL 6950.747Doctoral DissertationSpring 2024
MATH 6950.726Doctoral DissertationSpring 2024
BIOL 6940.747Individual ResearchSpring 2024
BIOL 5900.747Special ProblemsSpring 2024
BIOL 5910.747Special ProblemsSpring 2024
CSCE 5933.004Topics in Computer Science and EngineeringSpring 2024 SPOT
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2023 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2023 SPOT
BIOL 6950.747Doctoral DissertationFall 2023
MATH 6950.710Doctoral DissertationFall 2023
BIOL 6940.747Individual ResearchFall 2023
BIOL 5910.747Special ProblemsFall 2023
BIOL 6900.747Special ProblemsFall 2023
MATH 6710.001Topics in Applied MathematicsFall 2023 SPOT
BIOL 6900.747Special ProblemsSummer 5W2 2023
BIOL 4005.005Contemporary Topics in BiologySpring 2023 Syllabus SPOT
BIOL 6950.747Doctoral DissertationSpring 2023
MATH 6950.723Doctoral DissertationSpring 2023
BIOL 6940.747Individual ResearchSpring 2023
MATH 5220.002Numerical AnalysisSpring 2023 SPOT
BIOL 5900.747Special ProblemsSpring 2023
BIOL 5005.005TOPICS IN BIOLOGYSpring 2023 SPOT
CSCE 5933.004Topics in Computer Science and EngineeringSpring 2023 SPOT
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2022 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2022 SPOT
BIOL 6950.747Doctoral DissertationFall 2022
BIOL 6940.747Individual ResearchFall 2022
BIOL 4900.747Special ProblemsFall 2022
BIOL 6900.747Special ProblemsFall 2022
MATH 5900.725Special ProblemsFall 2022
MATH 6710.001Topics in Applied MathematicsFall 2022 SPOT
BIOL 6950.747Doctoral DissertationSummer 10W 2022
BIOL 4005.005Contemporary Topics in BiologySpring 2022 Syllabus SPOT
BIOL 6950.747Doctoral DissertationSpring 2022
BIOL 6940.747Individual ResearchSpring 2022
MATH 5220.001Numerical AnalysisSpring 2022 Syllabus SPOT
BIOL 4900.747Special ProblemsSpring 2022
BIOL 5900.747Special ProblemsSpring 2022
BIOL 5910.747Special ProblemsSpring 2022
BIOL 5005.005TOPICS IN BIOLOGYSpring 2022 Syllabus SPOT
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2021 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2021 SPOT
BIOC 6950.747Doctoral DissertationFall 2021
BIOL 6950.747Doctoral DissertationFall 2021
BIOL 6940.747Individual ResearchFall 2021
BIOL 4900.747Special ProblemsFall 2021
BIOL 5910.747Special ProblemsFall 2021
BIOL 6900.747Special ProblemsFall 2021
BIOC 6950.747Doctoral DissertationSpring 2021
BIOL 6950.747Doctoral DissertationSpring 2021
BIOL 6940.747Individual ResearchSpring 2021
MATH 5220.001Numerical AnalysisSpring 2021 SPOT
BIOL 5900.747Special ProblemsSpring 2021
BIOL 5005.005TOPICS IN BIOLOGYSpring 2021 SPOT
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2020 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2020 SPOT
BIOC 6950.747Doctoral DissertationFall 2020
BIOL 6950.747Doctoral DissertationFall 2020
BIOL 6940.747Individual ResearchFall 8W2 2020
BIOL 6940.747Individual ResearchFall 2020
BIOL 6900.747Special ProblemsFall 2020
MATH 6710.001Topics in Applied MathematicsFall 2020 SPOT
BIOC 5950.747Master's ThesisSummer 10W 2020
BIOC 6950.747Doctoral DissertationSpring 2020
BIOL 6950.747Doctoral DissertationSpring 2020
BIOL 6940.747Individual ResearchSpring 2020
BIOC 5950.747Master's ThesisSpring 2020
BIOL 5950.747Master's ThesisSpring 2020
MATH 5220.001Numerical AnalysisSpring 2020
BIOL 5900.747Special ProblemsSpring 2020
BIOL 5910.747Special ProblemsSpring 2020
BIOL 5005.005TOPICS IN BIOLOGYSpring 2020
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2019 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2019 SPOT
BIOC 6950.747Doctoral DissertationFall 2019
BIOL 6950.747Doctoral DissertationFall 2019
BIOL 6940.747Individual ResearchFall 2019
BIOC 5950.747Master's ThesisFall 2019
BIOL 4900.747Special ProblemsFall 2019
BIOL 5910.747Special ProblemsFall 2019
BIOL 6900.747Special ProblemsFall 2019
BIOL 6900.747Special ProblemsFall 8W2 2019
BIOL 6950.747Doctoral DissertationSpring 2019
BIOL 6940.747Individual ResearchSpring 2019
BIOC 5950.747Master's ThesisSpring 2019
BIOL 4900.747Special ProblemsSpring 2019
BIOL 5900.747Special ProblemsSpring 2019
BIOL 6900.747Special ProblemsSpring 2019
MATH 5900.712Special ProblemsSpring 2019
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2018 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2018 SPOT
BIOL 6940.747Individual ResearchFall 2018
BIOL 5910.747Special ProblemsFall 2018
MATH 6710.001Topics in Applied MathematicsFall 2018 SPOT
BIOL 6950.747Doctoral DissertationSpring 2018
BIOL 6940.747Individual ResearchSpring 2018
MATH 5220.001Numerical AnalysisSpring 2018 SPOT
BIOL 6900.747Special ProblemsSpring 2018
MATH 4900.702Special ProblemsSpring 2018
BIOL 5005.005TOPICS IN BIOLOGYSpring 2018 SPOT
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2017 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2017 SPOT
BIOL 6950.747Doctoral DissertationFall 2017
BIOL 6940.747Individual ResearchFall 2017
BIOL 5910.747Special ProblemsFall 2017
BIOL 6900.747Special ProblemsFall 2017
BIOL 6950.747Doctoral DissertationSpring 2017
BIOL 6940.747Individual ResearchSpring 2017
BIOL 5950.747Master's ThesisSpring 2017
MATH 5700.001Selected Topics in Contemporary MathematicsSpring 2017 SPOT
BIOL 4900.747Special ProblemsSpring 2017
BIOL 5005.007TOPICS IN BIOLOGYSpring 2017 SPOT
CSCE 5933.008Topics in Computer Science and EngineeringSpring 2017 SPOT
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2016 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2016 SPOT
BIOL 4810.001BioComputingFall 2016 Syllabus SPOT
BIOL 5810.001BioComputingFall 2016 SPOT
CSCE 4810.001BioComputingFall 2016 Syllabus SPOT
CSCE 5810.001BioComputingFall 2016 SPOT
MATH 4810.001BiocomputingFall 2016 Syllabus SPOT
BIOL 6950.747Doctoral DissertationFall 2016
BIOL 6940.747Individual ResearchFall 2016
BIOL 5950.747Master's ThesisFall 2016
MATH 5700.001Selected Topics in Contemporary MathematicsFall 2016 SPOT
MATH 6710.001Topics in Applied MathematicsFall 2016 SPOT
BIOL 6950.747Doctoral DissertationSpring 2016
BIOL 6940.747Individual ResearchSpring 2016
BIOL 5950.747Master's ThesisSpring 2016
BIOL 5910.747Special ProblemsSpring 2016
MATH 5900.705Special ProblemsSpring 2016
MATH 5910.705Special ProblemsSpring 2016
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2015 SPOT
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2015 SPOT
BIOL 6950.747Doctoral DissertationFall 2015
MATH 1680.240Elementary Probability and StatisticsFall 2015 Syllabus SPOT
MATH 1680.241Elementary Probability and StatisticsFall 2015
MATH 1680.242Elementary Probability and StatisticsFall 2015
MATH 1680.244Elementary Probability and StatisticsFall 2015
BIOL 6940.747Individual ResearchFall 2015
BIOL 5910.747Special ProblemsFall 2015
MATH 5900.704Special ProblemsFall 2015
BIOL 6950.747Doctoral DissertationSpring 2015
BIOL 6940.747Individual ResearchSpring 2015
MATH 5700.001Selected Topics in Contemporary MathematicsSpring 2015
BIOL 4900.747Special ProblemsSpring 2015
BIOL 5910.747Special ProblemsSpring 2015
MATH 2900.001Special ProblemsSpring 2015
MATH 5900.705Special ProblemsSpring 2015
MATH 5910.705Special ProblemsSpring 2015
BIOL 5005.007TOPICS IN BIOLOGYSpring 2015
CSCE 5933.002Topics in Computer Science and EngineeringSpring 2015
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2014
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2014
BIOL 4810.001BioComputingFall 2014 Syllabus
BIOL 5810.001BioComputingFall 2014
CSCE 4810.001BioComputingFall 2014 Syllabus
CSCE 5810.001BioComputingFall 2014
BIOL 6950.747Doctoral DissertationFall 2014
MATH 4980.001Experimental CourseFall 2014 Syllabus
BIOL 6940.747Individual ResearchFall 2014
MATH 5700.001Selected Topics in Contemporary MathematicsFall 2014
BIOL 4930.747Special ProblemsFall 2014
BIOL 5910.747Special ProblemsFall 2014
MATH 5900.723Special ProblemsFall 2014
MATH 6710.001Topics in Applied MathematicsFall 2014
BIOL 4900.747Special ProblemsSummer 10W 2014
BIOL 6940.747Individual ResearchSpring 2014
BIOL 4900.747Special ProblemsSpring 2014
BIOL 5900.747Special ProblemsSpring 2014
BIOL 6910.747Special ProblemsSpring 2014
MATH 5900.705Special ProblemsSpring 2014
MATH 6710.001Topics in Applied MathematicsSpring 2014
BIOL 5005.007TOPICS IN BIOLOGYSpring 2014
CSCE 5933.002Topics in Computer Science and EngineeringSpring 2014
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2013
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2013
BIOL 6940.747Individual ResearchFall 2013
MATH 5700.001Selected Topics in Contemporary MathematicsFall 2013
BIOL 4930.747Special ProblemsFall 2013
BIOL 5910.747Special ProblemsFall 2013
MATH 4900.705Special ProblemsFall 2013
BIOL 4900.747Special ProblemsSummer 5W1 2013
BIOL 4900.747Special ProblemsSummer 10W 2013
BIOL 5900.747Special ProblemsSummer 5W1 2013
MATH 5900.701Special ProblemsSummer 10W 2013
BIOL 6940.747Individual ResearchSpring 2013
BIOL 4900.747Special ProblemsSpring 2013
MATH 5900.713Special ProblemsSpring 2013
MATH 6710.001Topics in Applied MathematicsSpring 2013
BIOL 5005.007TOPICS IN BIOLOGYSpring 2013
CSCE 5933.005Topics in Computer Science and EngineeringSpring 2013
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2012
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2012
BIOL 6940.747Individual ResearchFall 2012
BIOL 5910.747Special ProblemsFall 2012
MATH 4900.705Special ProblemsFall 2012
MATH 5900.723Special ProblemsFall 2012
MATH 4900.708Special ProblemsSummer 10W 2012
MATH 5900.001Special ProblemsSummer 10W 2012
BIOL 6900.747Special ProblemsSpring 2012
MATH 5900.713Special ProblemsSpring 2012
MATH 6710.001Topics in Applied MathematicsSpring 2012
BIOL 5005.007TOPICS IN BIOLOGYSpring 2012
CSCE 5933.006Topics in Computer Science and EngineeringSpring 2012
BIOL 6810.001Advanced Topics in Computational Life ScienceFall 2011
CSCE 6810.001Advanced Topics in Computational Life ScienceFall 2011
MATH 5700.001Selected Topics in Contemporary MathematicsFall 2011

Published Intellectual Contributions

    Book Chapter

  • Burks, D.J., Azad, R.K. (2020). Identifying auxin response factor genes and their co-expression networks in Medicago truncatula. The Model Legume Medicago truncatula. 802-808. Wiley/Blackwell.
  • Burks, D., Azad, R.K., Wen, J., Dickstein, R. (2018). The M. truncatula genome: genomic data availability. Medicago truncatula: Methods and Protocols. Springer.
  • Azad, R.K.. (2008). Genes in prokaryotic genomes and their computational prediction. Computational Methods for Understanding Bacterial and Archaeal Genomes. Xu, Y. and Gogarten, J.P. (eds.) Series on Advances in Bioinformatics and Computational Biology, Vol. 7. Imperial College Press, London. ISBN-13: 978-1-86094-982-1, ISBN-10: 1-86094-982-7..
  • Azad, R.K., Lawrence, J.G., Thakur, V. and Ramaswamy, R.. (2007). Segmentation of genomic DNA sequences. Advanced Computational Methods for Biocomputing and Bioimaging, Eds. Pham, T.D., Yan, H. and Crane, D.I., Nova Science Publishers, New York. ISBN: 1600212786..
  • Borodovsky, M. and Azad, R.K. (2004). Prokaryotic gene identification in silico. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics, Part 4. Bioinformatics, Sec 4.2. Gene Finding and Gene Structure, Eds. Dunn, M.J., Jorde, L.B., Little, P.F.R. and Subramaniam, S. John Wiley & Sons, Ltd., New York. ISBN: 0470849746.
  • Conference Proceeding

  • Ramaswamy, R. and Azad, R.K.. (2003). Analysis of DNA sequences through segmentation: Exploring the mosaic via statistical measures. Physica Scripta T106: 21-25. Physica Scripta T106: 21-25..
  • Journal Article

  • De , R., Whiteley, M., Azad, R.K. (2023). A gene network-driven approach to infer novel pathogenicity-associated genes: application to Pseudomonas aeruginosa PAO1.. mSystems. 8 (6) e0047323.
  • Almalki, F., Sunuwar, J., Azad, R.K. (2023). Using Machine Learning to Predict Genes Underlying Differentiation of Multipartite and Unipartite Traits in Bacteria.. Other. 11 (11)
  • Coxe, T., Azad, R.K. (2023). Silicon versus Superbug: Assessing Machine Learning's Role in the Fight against Antimicrobial Resistance.. Other. 12 (11)
  • Pusadkar, V., Azad, R.K. (2023). Benchmarking Metagenomic Classifiers on Simulated Ancient and Modern Metagenomic Data.. Other. 11 (10)
  • Ji, L., Zhang, Z., Liu, S., Zhao, L., Li , Q., Xiao, B., Suzuki, N., Burks, D.J., Azad, R.K., Xie, G. (2023). The OsTIL1 lipocalin protects cell membranes from reactive oxygen species damage and maintains the 18:3-containing glycerolipid biosynthesis under cold stress in rice.. The Plant journal : for cell and molecular biology. 117 (1) 72-91.
  • Burks, D.J., Pusadkar, V., Azad, R.K. (2023). POSMM: an efficient alignment-free metagenomic profiler that complements alignment-based profiling.. Environmental Microbiome. 18 (1) 16.
  • Fichman, Y., Xiong, H., Sengupta, S., Morrow, J., Loog, H., Azad, R.K., Hibberd, J.M., Liscum, E., Mittler, R. (2023). Phytochrome B regulates reactive oxygen signaling during abiotic and biotic stress in plants.. The New Phytologist. 237 (5) 1711-1727.
  • Almalki, F., Choudhary, M., Azad, R.K. (2023). Analysis of multipartite bacterial genomes using alignment free and alignment-based pipelines.. Archives of Microbiology. 205 (1) 25.
  • Sengupta, S., Azad, R.K. (2023). Leveraging comparative genomics to uncover alien genes in bacterial genomes.. Microbial Genomics. 9 (1)
  • De , R., Azad, R.K. (2022). Molecular signatures in the progression of COVID-19 severity.. Scientific Reports. 12 (1) 22058.
  • Sengupta, S., Azad, R.K. (2022). Reconstructing horizontal gene flow network to understand prokaryotic evolution.. Other. 12 (11) 220169.
  • Sunuwar, J., Azad, R.K. (2022). Identification of Novel Antimicrobial Resistance Genes Using Machine Learning, Homology Modeling, and Molecular Docking.. Other. 10 (11)
  • Burks, D.J., Azad, R.K. (2022). Mapping Strengths and Weaknesses of Different Clustering Approaches to Deciphering Bacterial Chimerism.. Other. 26 (8) 422-439.
  • Gore, S., Azad, R.K. (2022). CancerNet: a unified deep learning network for pan-cancer diagnostics.. BMC Bioinformatics. 23 (1) 229.
  • Pandey, R.S., Azad, R.K. (2022). Factors That Influence the Choice of Markov Model Order in Discriminating DNA Sequences from Different Sources.. Other. 26 (6) 348-355.
  • Burks, D.J., Sengupta, S., De , R., Mittler, R., Azad, R.K. (2022). The Arabidopsis gene co-expression network.. Other. 6 (4) e396. https://onlinelibrary.wiley.com/doi/10.1002/pld3.396
  • Fallatah, W., De , R., Burks, D., Azad, R.K., Jagadeeswaran, P. (2022). Analysis of transcribed sequences from young and mature zebrafish thrombocytes.. PLOS One. 17 (3) e0264776.
  • Phillippi, D., Daniel, S., Pusadkar, V., Youngblood, V., Nguyen, K., Azad, R.K., McFarlin, B.K., Lund, A.K. (2022). Inhaled diesel exhaust particles result in microbiome-related systemic inflammation and altered cardiovascular disease biomarkers in C57Bl/6 male mice.. Particle and Fibre Toxicology.
  • Pandey, R.S., Azad, R.K. (2022). A Protocol for Horizontally Acquired Metabolic Gene Detection in Algae.. Methods in molecular biology (Clifton, N.J.). 2396 61-69.
  • Sengupta, S., Azad, R.K. (2022). A Protocol for Phylogenetic Reconstruction.. Methods in molecular biology (Clifton, N.J.). 2396 35-46.
  • Dixson, J.D., Azad, R.K. (2022). A Protocol for Prion Discovery in Plants.. Methods in molecular biology (Clifton, N.J.). 2396 215-226.
  • Burks, D.J., Azad, R.K. (2022). RNA-Seq Data Analysis Pipeline for Plants: Transcriptome Assembly, Alignment, and Differential Expression Analysis.. Methods in molecular biology (Clifton, N.J.). 2396 47-60.
  • Alharbi, A., Iyer, N., Al Qaryoute, A., Raman, R., Burks, D.J., Azad, R.K., Jagadeeswaran, P. (2021). Role of ribosomal RNA released from red cells in blood coagulation in zebrafish and humans.. Blood Advances. 5 (22) 4634-4647.
  • Sunuwar, J., Azad, R.K. (2021). A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains.. Briefings in Bioinformatics. 22 (6)
  • Ibtehaz, N., Ahmed, I., Ahmed, M.S., Rahman, M.S., Azad, R.K., Bayzid, M.S. (2021). SSG-LUGIA: Single Sequence based Genome Level Unsupervised Genomic Island Prediction Algorithm.. Briefings in Bioinformatics. 22 (6)
  • Dixson, J.D., Azad, R.K. (2021). A novel predictor of ACE2-binding ability among betacoronaviruses.. Other. 9 (1) 360-373.
  • Jani, M., Azad, R.K. (2021). Discovery of mosaic genomic islands in Pseudomonas spp.. Archives of Microbiology. 203 (5) 2735-2742.
  • Zandalinas, S.I., Sengupta, S., Fritschi, F.B., Azad, R.K., Nechushtai, R., Mittler, R. (2021). The impact of multifactorial stress combination on plant growth and survival.. The New Phytologist. 230 (3) 1034-1048.
  • Cohen, I., Zandalinas, S.I., Fritschi, F.B., Sengupta, S., Fichman, Y., Azad, R.K., Mittler, R. (2021). The impact of water deficit and heat stress combination on the molecular response, physiology, and seed production of soybean.. Physiologia Plantarum. 172 (1) 41-52.
  • Daniel, S., Pusadkar, V., McDonald, J.D., Mirpuri, J., Azad, R.K., Goven, A.J., Lund, A. (2021). Traffic generated emissions alter the lung microbiota by promoting the expansion of Proteobacteria in C57Bl/6 mice placed on a high-fat diet.. Ecotoxicology and Environmental Safety.
  • Fichman, Y., Zandalinas, S.I., Sengupta, S., Burks, D., Myers, Jr, R.J., Azad, R.K., Mittler, R. (2020). MYB30 Orchestrates Systemic Reactive Oxygen Signaling and Plant Acclimation.. Plant Physiology. 184 (2) 666-675.
  • Upadhyay, R.K., Chatterjee, S., Saha, S., Azad, R.K. (2020). Age-group-targeted testing for COVID-19 as a new prevention strategy.. Other. 1-12, DOI: 10.1007/s11071-020-05879-x.
  • Yan, C., Cannon, A.E., Watkins, J., Keereetaweep, J., Khan, B.R., Jones, A.M., Blancaflor, E.B., Azad, R.K., Chapman, K.D. (2020). Seedling Chloroplast Responses Induced by N-Linolenoylethanolamine Require Intact G-Protein Complexes.. Plant Physiology. 184 (1) 459-477.
  • Burks, D.J., Azad, R.K. (2020). Higher-order Markov models for metagenomic sequence classification.. Other. 36 (14) 4130-4136.
  • Cannon, A.E., Yan, C., Burks, D.J., Rao, X., Azad, R.K., Chapman, K.D. (2020). Lipophilic signals lead to organ-specific gene expression changes in Arabidopsis seedlings.. Other. 4 (7) e00242.
  • Dixson, J.D., Azad, R.K. (2020). Prions: Roles in Development and Adaptive Evolution.. Other. 88 (5) 427-434.
  • Zandalinas, S.I., Fichman, Y., Devireddy, A.R., Sengupta, S., Azad, R.K., Mittler, R. (2020). Systemic signaling during abiotic stress combination in plants.. Proceedings of the National Academy of Sciences of the United States of America. 117 (24) 13810-13820.
  • Sturtevant, D., Lu, S., Zhou, Z.W., Shen, Y., Wang, S., Song, J., Zhong, J., Burks, D.J., Yang, Z.Q., Yang, Q., Cannon, A.E., Herrfurth, C., Feussner, I., Borisjuk, L., Munz, E., Verbeck, G.F., Wang, X., Azad, R.K., Singleton, B., Dyer, J.M., Chen, L.L., Chapman, K.D., Guo, L. (2020). The genome of jojoba (Simmondsia chinensis): A taxonomically isolated species that directs wax ester accumulation in its seeds.. Science Advances. 6 (11) eaay3240.
  • Zandalinas, S.I., Song, L., Sengupta, S., McInturf, S.A., Grant, D.G., Marjault, H.B., Castro-Guerrero, N.A., Burks, D., Azad, R.K., Mendoza-Cozatl, D.G., Nechushtai, R., Mittler, R. (2020). Expression of a dominant-negative AtNEET-H89C protein disrupts iron-sulfur metabolism and iron homeostasis in Arabidopsis.. The Plant journal : for cell and molecular biology. 101 (5) 1152-1169.
  • Balfagón, D., Sengupta, S., Gómez-Cadenas, A., Fritschi, F.B., Azad, R.K., Mittler, R., Zandalinas, S.I. (2019). Jasmonic Acid Is Required for Plant Acclimation to a Combination of High Light and Heat Stress.. Plant Physiology. 181 (4) 1668-1682.
  • Azad, R.K., Shulaev, V. (2019). Metabolomics technology and bioinformatics for precision medicine.. Briefings in Bioinformatics. 20 (6) 1957-1971.
  • Jani, M., Azad, R.K. (2019). IslandCafe: Compositional Anomaly and Feature Enrichment Assessment for Delineation of Genomic Islands.. Other. 9 (10) 3273-3285.
  • Zhuo, C., Rao, X., Azad, R.K., Pandey, R., Xiao, X., Harkelroad, A., Wang, X., Chen, F., Dixon, R. (2019). Enzymatic basis for C-lignin monomer biosynthesis in the seed coat of Cleome hassleriana.. The Plant journal : for cell and molecular biology. 99 506-520.
  • Zandalinas, S.I., Sengupta, S., Burks, D., Azad, R.K., Mittler, R. (2019). Identification and characterization of a core set of ROS wave-associated transcripts involved in the systemic acquired acclimation response of Arabidopsis to excess light.. The Plant journal : for cell and molecular biology. 98 (1) 126-141.
  • Sturtevant, D., Romsdahl, T.B., Yu, X., Burks, D.J., Azad, R.K., Shanklin, J., Chapman, K. (2019). Tissue-specific differences in metabolites and transcripts contribute to the heterogeneity of ricinoleic acid accumulation in Ricinus communis L. (castor) seeds. Metabolomics. 15 (1) https://api.elsevier.com/content/abstract/scopus_id/85059652912
  • Sengupta, S., Nechushtai, R., Jennings, P.A., Onuchic, J.N., Padilla, P.A., Azad, R., Mittler, R. (2018). Phylogenetic analysis of the CDGSH iron-sulfur binding domain reveals its ancient origin. Scientific Reports. 8
  • Choudhury, F.K., Devireddy, A.R., Azad, R.K., Shulaev, V., Mittler, R. (2018). Local and Systemic Metabolic Responses during Light-Induced Rapid Systemic Signaling.. Plant Physiology. 178 (4) 1461-1472.
  • Choudhury, F.K., Devireddy, A.R., Azad, R.K., Shulaev, V., Mittler, R. (2018). Rapid accumulation of glutathione during light stress in Arabidopsis.. Other. 59 (9) 1817–1826.
  • Azad, R.K., Shulaev, V. (2018). Metabolomics technology and bioinformatics for precision medicine.. Other. 20 (6) 1957–1971.
  • Jani, M., Sengupta, S., Hu, K., Azad, R.K. (2017). Deciphering pathogenicity and antibiotic resistance islands in methicillin-resistant Staphylococcus aureus genomes.. Other. 7 (12) pii: 170094.
  • Burks, D.J., Norris, S., Kauffman, K.M., Joy, A., Arevalo, P., Azad, R.K., Wildschutte, H. (2017). Environmental vibrios represent a source of antagonistic compounds that inhibit pathogenic Vibrio cholerae and Vibrio parahaemolyticus strains.. Other. 6 (5) e504.
  • Karmi, O., Holt, S.H., Song, L., Tamir, S., Luo, Y., Bai, F., Adenwalla, A., Darash-Yahana, M., Sohn, Y.S., Jennings, P.A., Azad, R.K., Onuchic, J.N., Morcos, F., Nechushtai, R., Mittler, R. (2017). Interactions between mitoNEET and NAF-1 in cells.. PLOS One. 12 (4) e0175796.
  • Inupakutika, M.A., Sengupta, S., Nechushtai, R., Jennings, P.A., Onuchic, J.N., Azad, R.K., Padilla, P.A., Mittler, R. (2017). Phylogenetic analysis of eukaryotic NEET proteins uncovers a link between a key gene duplication event and the evolution of vertebrates.. Scientific Reports. 7 42571.
  • Pandey, R.S., Saxena, G., Bhattacharya, D., Qiu, H., Azad, R.K. (2017). Using complementary approaches to identify trans-domain nuclear gene transfers in the extremophile Galdieria sulphuraria (Rhodophyta).. Other. 53 (1) 7-11.
  • Burks, D.J., Azad, R.K. (2016). Identification and Network-Enabled Characterization of Auxin Response Factor Genes in Medicago truncatula.. Frontiers in Plant Science. 7 1857.
  • Inupakutika, M.A., Sengupta, S., Devireddy, A.R., Azad, R.K., Mittler, R. (2016). The evolution of reactive oxygen species metabolism.. Journal of Experimental Botany. 67 (21) 5933-5943.
  • Ladage, M.L., King, S.D., Burks, D.J., Quan, D.L., Garcia, A.M., Azad, R.K., Padilla, P.A. (2016). Glucose or Altered Ceramide Biosynthesis Mediate Oxygen Deprivation Sensitivity Through Novel Pathways Revealed by Transcriptome Analysis in Caenorhabditis elegans.. G3: Genes, Genomes, Genetics. 6 (10) 3149-3160.
  • Jani, M., Mathee, K., Azad, R.K. (2016). Identification of Novel Genomic Islands in Liverpool Epidemic Strain of Pseudomonas aeruginosa Using Segmentation and Clustering.. Frontiers in Microbiology. 7 1210.
  • Pandey, R.S., Azad, R.K. (2016). Deciphering evolutionary strata on plant sex chromosomes and fungal mating-type chromosomes through compositional segmentation.. Plant Molecular Biology. 90 (4-5) 359-73.
  • Veerappan, V., Jani, M., Kadel, K., Troiani, T., Gale, R., Mayes, T., Shulaev, E., Wen, J., Mysore, K.S., Azad, R.K., Dickstein, R. (2016). Rapid identification of causative insertions underlying Medicago truncatula Tnt1 mutants defective in symbiotic nitrogen fixation from a forward genetic screen by whole genome sequencing.. BMC Genomics. 17 141.
  • Suzuki, N., Bassil, E., Hamilton, J.S., Inupakutika, M.A., Zandalinas, S.I., Tripathy, D., Luo, Y., Dion, E., Fukui, G., Kumazaki, A., Nakano, R., Rivero, R.M., Verbeck, G.F., Azad, R.K., Blumwald, E., Mittler, R. (2016). ABA Is Required for Plant Acclimation to a Combination of Salt and Heat Stress.. PLOS One. 11 (1) e0147625.
  • Holt, S.H., Darash-Yahana, M., Sohn, Y.S., Song, L., Karmi, O., Tamir, S., Michaeli, D., Luo, Y., Paddock, M.L., Jennings, P.A., Onuchic, J.N., Azad, R.K., Pikarsky, E., Cabantchik, I.Z., Nechushtai, R., Mittler, R. (2016). Activation of apoptosis in NAF-1-deficient human epithelial breast cancer cells.. Journal of Cell Science. 129 (1) 155-65.
  • Suzuki, N., Devireddy, A.R., Inupakutika, M.A., Baxter, A., Miller, G., Song, L., Shulaev, E., Azad, R.K., Shulaev, V., Mittler, R. (2015). Ultra-fast alterations in mRNA levels uncover multiple players in light stress acclimation in plants.. The Plant journal : for cell and molecular biology. 84 (4) 760-72.
  • Mittal, R., Lisi, C.V., Gerring, R., Mittal, J., Mathee, K., Narasimhan, G., Azad, R.K., Yao, Q., Grati, M., Yan, D., Eshraghi, A.A., Angeli, S.I., Telischi, F.F., Liu, X.Z. (2015). Current concepts in the pathogenesis and treatment of chronic suppurative otitis media.. Journal of Medical Microbiology. 64 (10) 1103-16.
  • Garcia, A.M., Ladage, M.L., Dumesnil, D.R., Zaman, K., Shulaev, V., Azad, R.K., Padilla, P.A. (2015). Glucose induces sensitivity to oxygen deprivation and modulates insulin/IGF-1 signaling and lipid biosynthesis in Caenorhabditis elegans.. Genetics. 200 (1) 167-84.
  • Ré, M.A., Azad, R.K. (2014). Generalization of entropy based divergence measures for symbolic sequence analysis.. PLOS One. 9 (4) e93532.
  • Azad, R.K., Li , J. (2013). Interpreting genomic data via entropic dissection.. Other. 41 (1) e23.
  • Pandey, R.S., Wilson Sayres, M.A., Azad, R.K. (2013). Detecting evolutionary strata on the human x chromosome in the absence of gametologous y-linked sequences.. Other. 5 (10) 1863-71.
  • Azad RK, Li J.. (2012). Interpreting genomic data via entropic dissection. Nucleic Acids Research 2012; Advance Access published October 3, 2012; doi:10.1093/nar/gks917. Related Links: http://nar.oxfordjournals.org/content/41/1/e23.long.
  • Azad, R.K., Lawrence, J.G. (2012). Detecting laterally transferred genes.. Methods in molecular biology (Clifton, N.J.). 855 281-308.
  • Azad, R.K., Lawrence, J.G. (2012). Detecting laterally transferred genes.. Methods in molecular biology (Clifton, N.J.). 855 281-308.
  • Azad, R.K. (2011). Towards more robust methods of alien gene detection. Azad RK, Lawrence JG. Nucleic Acids Res . 2011 May;39(9):e56. Epub 2011 Feb 4. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/21297116.
  • Azad, R.K., Lawrence, J.G. (2011). Towards more robust methods of alien gene detection.. Other. 39 (9) e56.
  • Azad, R.K. (2009). Detection of genomic islands via segmental genome heterogeneity. Arvey AJ, Azad RK, Raval A, Lawrence JG. Nucleic Acids Res . 2009 Sep;37(16):5255-66. Epub 2009 Jul 9. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/19589805.
  • Arvey, A.J., Azad, R.K., Raval, A., Lawrence, J.G. (2009). Detection of genomic islands via segmental genome heterogeneity.. Other. 37 (16) 5255-66.
  • Azad, R.K. (2007). Detecting laterally transferred genes: use of entropic clustering methods and genome position. Azad RK, Lawrence JG. Nucleic Acids Res . 2007;35(14):4629-39. Epub 2007 Jun 25. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/17591616.
  • Azad, R.K. (2007). Markov models of genome segmentation. Thakur V, Azad RK, Ramaswamy R. Phys Rev E Stat Nonlin Soft Matter Phys . 2007 Jan;75(1 Pt 1):011915. Epub 2007 Jan 17. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/17358192.
  • Azad, R.K., Lawrence, J.G. (2007). Detecting laterally transferred genes: use of entropic clustering methods and genome position.. Other. 35 (14) 4629-39.
  • Thakur, V., Azad, R.K., Ramaswamy, R. (2007). Markov models of genome segmentation.. Other. 75 (1 Pt 1) 011915.
  • Azad, R.K. (2006). The evolutionary origin of Xanthomonadales genomes and the nature of the horizontal gene transfer process. Comas I, Moya A, Azad RK, Lawrence JG, Gonzalez-Candelas F. Mol Biol Evol . 2006 Nov;23(11):2049-57. Epub 2006 Aug 1. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/16882701.
  • Comas, I., Moya, A., Azad, R.K., Lawrence, J.G., Gonzalez-Candelas, F. (2006). The evolutionary origin of Xanthomonadales genomes and the nature of the horizontal gene transfer process.. Other. 23 (11) 2049-57.
  • Azad, R.K. (2005). Use of artificial genomes in assessing methods for atypical gene detection. Azad RK, Lawrence JG. PLoS Comput Biol . 2005 Nov;1(6):e56. Epub 2005 Nov 11. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/16292353.
  • Azad, R.K., Lawrence, J.G. (2005). Use of artificial genomes in assessing methods for atypical gene detection.. PLOS Computational Biology. 1 (6) e56.
  • .. (2004). Effects of choice of DNA sequence model structure on gene identification accuracy. Azad RK, Borodovsky M. Bioinformatics . 2004 May 1;20(7):993-1005. Epub 2004 Jan 29. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/14751980.
  • Azad, R.K. (2004). Probabilistic methods of identifying genes in prokaryotic genomes: connections to the HMM theory. Azad RK, Borodovsky M. Brief Bioinform . 2004 Jun;5(2):118-30. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/15260893.
  • Azad, R.K., Rao, J.S and Ramaswamy, R.. (2004). Symbol sequence analysis of climatic time signals. Nonlinear Analysis: Real World Applications 5: 487-500. Nonlinear Analysis: Real World Applications 5: 487-500..
  • Azad, R.K., Borodovsky, M. (2004). Probabilistic methods of identifying genes in prokaryotic genomes: connections to the HMM theory.. Other. 5 (2) 118-30.
  • Azad, R.K., Borodovsky, M. (2004). Effects of choice of DNA sequence model structure on gene identification accuracy.. Other. 20 (7) 993-1005.
  • Azad, R.K., Rao, J.S and Ramaswamy, R.. (2002). Information-entropic analysis of chaotic time series: Determination of time-delays and dynamical coupling. Chaos, Solitons & Fractals 14: 633-641. Chaos, Solitons & Fractals 14: 633-641..
  • Azad, R.K. (2002). Segmentation of genomic DNA through entropic divergence: power laws and scaling. Azad RK, Bernaola-Galván P, Ramaswamy R, Rao JS. Phys Rev E Stat Nonlin Soft Matter Phys . 2002 May;65(5 Pt 1):051909. Epub 2002 May 8. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/12059595.
  • Azad, R.K. (2002). Simplifying the mosaic description of DNA sequences. Azad RK, Rao JS, Li W, Ramaswamy R. Phys Rev E Stat Nonlin Soft Matter Phys . 2002 Sep;66(3 Pt 1):031913. Epub 2002 Sep 25. Related Links: http://www.ncbi.nlm.nih.gov/pubmed/12366158.
  • Azad, R.K., Rao, J.S., Li , W., Ramaswamy, R. (2002). Simplifying the mosaic description of DNA sequences.. Other. 66 (3 Pt 1) 031913.
  • Azad, R.K., Bernaola-Galván, P., Ramaswamy, R., Rao, J.S. (2002). Segmentation of genomic DNA through entropic divergence: power laws and scaling.. Other. 65 (5 Pt 1) 051909.
  • Review

  • Jani, M., Azad, R.K. (2013). Information entropy based methods for genome comparison. Other. 3 (2) NY, USA, ACM New York.

Contracts, Grants and Sponsored Research

    Contract

  • Azad, R.K., "MBI Early Career Award: Spring 2016- Dynamics of biologically inspired networks," sponsored by Mathematical Biosciences Institute, The Ohio State University (Through NSF), Federal, $20000 Funded. (2016 - 2016).
  • Fellowship

  • Azad, R.K., "Deciphering evolutionary strata and inactivation domains on sex chromosomes," sponsored by University of North Texas (Junior Faculty Summer Research Fellowship), University of North Texas, $2500 Funded. (2013 - 2013).
  • Grant - Research

  • Azad, R.K., Padilla, P. (Principal), Burggren, W. (Co-Principal), "G-RISE at the University of North Texas," sponsored by National Institutes of Health, Federal, $2500000 Funded. (2021 - 2026).
  • Lund, A.K. (Principal), Azad, R.K. (Co-Principal), "The Renin-Angiotensin System in Air Pollution-Mediated Exacerbation of Obesity," sponsored by National Institute of Health (NIH) / National Institute of Environmental Health and Safety (NIEHS), Federal, $437496 Funded. (2023 - 2026).
  • Xiao, T. (Principal), Ding, J. (Co-Principal), Albert, M.V. (Supporting), Alam, Z.S. (Supporting), Hartmann, F. (Supporting), Wang, Y. (Supporting), Liang, L. (Supporting), Chen, H. (Supporting), Du, J. (Supporting), Azad, R.K. (Supporting), "NSF REU site: Beyond Language: Training to Create and Share Vector Embeddings across Application," sponsored by NSF, Federal, $403547 Funded. (2023 - 2025).
  • Azad, R.K. (Co-Principal), Mittler, R. (Principal), "Leaf-to-leaf communication during acclimation to multiple stresses," sponsored by National Science Foundation, Federal, $1080011 Funded. (2019 - 2024).
  • Jagadeeswaran, P. (Principal), Azad, R.K. (Co-Principal), "Regulators of von Willebrand Factor Levels," sponsored by NIH, Federal, $891000 Funded. (2021 - 2024).
  • Henard, C.A., Azad, R.K., "Characterization of the carbon dioxide starvation response in a promising greenhouse gas mitigation biocatalyst.," sponsored by BioDiscovery Institute, University of North Texas, $30000 Funded. (2023 - 2024).
  • Azad, R.K. (Other), Zhao, H. (Principal), Albert, M. (Co-Principal), "REU Site: Interdisciplinary Research Experience on Accelerated Deep Learning through A Hardware-Software Collaborative Approach," sponsored by National Science Foundation, Federal, $389725 Funded. (2021 - 2024).
  • Jagadeeswaran, P. (Principal), Azad, R.K. (Co-Principal), "Zebrafish Thrombopoiesis," sponsored by NIH, Federal, $418980 Funded. (2018 - 2021).
  • Azad, R.K. (Principal), Padilla, P.A. (Principal), "Molecular consequences of glucose diet and altered ceramide species impacting oxygen deprivation responses," sponsored by National Institutes of Health, Federal, $445343 Funded. (2016 - 2020).
  • Azad, R.K. (Co-Principal), Mittler, R. (Principal), "NSF/MCB-BSF: Integrating ROS, redox and cell metabolism across plant and animal cells," sponsored by National Science Foundation, Federal, $854627 Funded. (2016 - 2020).
  • Dixon, R. (Principal), Azad, R.K., Chen, F., Boyd, R.R., D'Souza, N.A., "Biosynthesis, regulation and engineering of C-lignin," sponsored by National Science Foundation, Federal, $833722 Funded. (2015 - 2019).
  • Azad, R.K. (Co-Principal), Mittler, R. (Principal), Shulaev, V. (Co-Principal), "Ultrafast omics reveals key players in the response of plants to abiotic stress," sponsored by National Science Foundation, Federal, $720000 Funded. (2014 - 2019).
  • Jagadeeswaran, P. (Principal), Azad, R.K. (Principal), "Regulators of von Willebrand Factor Levels," sponsored by National Institutes of Health, FED, Funded. (2021 - 2024).
  • Azad, R.K. (Principal), "Leaf-to-leaf communication during acclimation to multiple stresses," sponsored by University of Missouri-Columbia, NFP, Funded. (2019 - 2023).
  • Jagadeeswaran, P. (Principal), Azad, R.K. (Co-Principal), "Zebrafish Thrombopoiesis," sponsored by National Institutes of Health, FED, Funded. (2018 - 2022).
  • Padilla, P.A. (Principal), Azad, R.K. (Co-Principal), "Molecular Consequences of Glucose Diet and Altered Ceramide Species Impacting Oxygen Deprivation Responses," sponsored by National Institutes of Health, FED, Funded. (2016 - 2020).
  • Azad, R.K. (Principal), "MCB-BSF: Integrating ROS, redox and cell metabolism across plant and animal cells," sponsored by University of Missouri-Columbia, NFP, Funded. (2018 - 2020).
  • Chen, F. (Co-Principal), D'Souza, N.A. (Principal), Azad, R.K. (Principal), Dixon, R.A. (Principal), Boyd, R.R. (Co-Principal), "Biosynthesis, Regulation and Engineering of C-Lignin," sponsored by National Science Foundation, FED, Funded. (2015 - 2019).
  • Azad, R.K. (Principal), Mittler, R. (Principal), "NSF/MCB-BSF: Integrating ROS, redox and cell metabolism across plant and animal cells," sponsored by National Science Foundation, FED, Funded. (2016 - 2018).
  • Azad, R.K. (Principal), Mittler, R. (Principal), Shulaev, V. (Co-Principal), "Ultrafast Omics Reveals Key Players in the Response of Plants to Abiotic Stress," sponsored by National Science Foundation, FED, Funded. (2014 - 2018).
  • Azad, R.K. (Principal), "MBI Early Career Award: Spring 2016- Dynamics of Biologically Inspired Networks," sponsored by The Ohio State University, NFP, Funded. (2016 - 2016).
,
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
CLOSE