Dr. Iman Dehzangi

Title: 
Assistant Professor of Computer Science and Coordinator of the M.S. in Bioinformatics Program
Office Location: 
McMechen Hall 620
Phone: 
(443) 885-1730
Email: 
Abdollah.Dehzangi@morgan.edu
Education:

Ph.D. Griffith University, Brisbane, Australia, 2015
M.S. MultiMedia University, Cyberjaya, Malaysia, 2011
B.S. Shiraz University, Shiraz, Iran, 2007

Education:

Ph.D. Griffith University, Brisbane, Australia, 2015
M.S. MultiMedia University, Cyberjaya, Malaysia, 2011
B.S. Shiraz University, Shiraz, Iran, 2007

Research Interest:

Dr. Abdollah Dehzangi joined as an Assistant Professor in the Computer Science Department at Morgan State University from Fall, 2017. He received his PhD in Bioinformatics and Computational biology from the Griffith University, Brisbane, Australia in 2015. During his PhD, he also served as Research Scholar at National ICT Australia (NICTA) from 2011 to 2014. After obtaining his PhD, he served as Research scholar at Griffith University (2014-2015) and later as a Post Doctoral Research Scholar at University of Iowa (2015-2017). He is also serving as the MS in bioinformatics program coordinator at MSU.

His research focus is on machine learning, artificial intelligence, and bioinformatics & computational biology in general. He would like to work on the challenges associated with the design and development of robust, general, and accurate systems for several important problems in bioinformatics and computational biology such as, protein local and global structure prediction, genome variants analysis, cancer subtype classification, and studying the impact of somatic mutations in cancer research, in specific. His main focus is on using machine learning techniques with emphasis on deep learning architecture, support vector machines, and ensemble classifiers (homogeneous and heterogeneous).

Dr. Dehzangi has published around 60 articles in refereed journals and conference proceedings, such as Bioinformatics, Scientific Report, PloS One, IEEE Transaction on Computational Biology and Bioinformatics, BMC Bioinformatics, BMC Genomics, Journal of Computational Chemistry, IEEE Transaction on NanoBioScience, Journal of Theoretical Biology etc. He also presented his works in several conferences and workshops, such as PRIB, ICONIP, IncoB, APBC, and ACIIDS over the years.

Additional Links:

Google Scholar:
https://scholar.google.com/citations?user=RkamSRYAAAAJ&hl=en

Research Gate:
https://www.researchgate.net/profile/Iman_abdollah_Dehzangi

Selected Publications (Total: 60, h-Index = 21, I-index = 35, citations: 1251):

  • Dehzangi. A., López. Y., Lal. S. P., Taherzadeh. G., Sattar. A., Tsunoda. T., Sharma A. “Improving succinylation prediction accuracy by using secondary structure and evolutionary information.” PLOS One, Volume 13, number: 2, e0191900, 2018.
  • Islam. M. M., Saha. S., Rahman. M. M., Shatabda. S., Farid. D. M., Dehzangi. A. "iProtGly‐SS: Identifying Protein Glycation Sites Using Sequence and Structure Based Features." Proteins: Structure, Function, and Bioinformatics, Volume 86, umber 7, pages: 777-789, 2018.
  • López. Y., Sharma. A., Dehzangi. A., Lal. S. P., Taherzadeh. G., Sattar. A., Tsunoda. T. “Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.” BMC Genomics 2018, Volume 19, number: 1, Page: 923, 2018.
  • Chowdhury. S. Y., Shatabda. S., Dehzangi. A. "iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features." Scientific Reports, Volume 7, number: 14938, 2017.
  • Dehzangi, A., López, Y., Lal, S.P., Taherzadeh, G., Michaelson, J., Sattar, A., Tsunoda, T. and Sharma, A., "PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction." Journal of Theoretical Biology, 425, pp.97-102, 2017.
  • Dehzangi, A., López, Y., Lal, S.P., Taherzadeh, G., Michaelson, J., Sattar, A., Tsunoda, T. and Sharma, A., SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids. Analytical Biochemistry, 527, pp.24-32, 2017.
  • Heffernan, R., Dehzangi, A., Lyons, J., Paliwal, K., Sharma, A., Wang, J., Sattar, A., Zhou, Y. and Yang, Y., "Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins." Bioinformatics, p.btv665, 2015.
  • Dehzangi, A., Heffernan, R., Sharma, A., Lyons, J., Paliwal, K. and Sattar, A., "Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳ s general PseAAC." Journal of Theoretical Biology, 364, pp.284-294, 2015.
  • Heffernan, R., Paliwal, K., Lyons, J., Dehzangi, A., Sharma, A., Wang, J., Sattar, A., Yang, Y. and Zhou, Y., "Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning." Scientific Reports, 5, 2015.
  • Dehzangi, A., Paliwal, K., Lyons, J., Sharma, A. and Sattar, A., "Proposing a highly accurate protein structural class predictor using segmentation-based features." BMC Genomics, 15(1), p.S2, 2014.