Education

Postdoc in Computer Science, University of California, Santa Barbara, Apr. 2015-Dec. 2016.

Joint postdoc in Systems Biology, Harvard University, Apr. 2015-Dec. 2016.

PhD in Industrial and Systems Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran, Dec. 2014.

MS in Industrial Engineering, Isfahan University of Technology, Iran, Jan. 2011.

BS in Industrial and Computer Systems Engineering, University of Tehran, Iran, Sep. 2008.

Research Interests

Single and Multi-Omics Data Analysis and Mining, Genomic Data Integration and Biomarker Discovery, Operations Research, Machine Learning.

 

 Publications

  1. A. Doostparast, M. H. Fazel Zarandi, Alpha-plane Based Automatic General Type-II Fuzzy Clustering Based on Simulated Annealing Meta-heuristic Algorithm for Analyzing Gene Expression Data, Computers in Biology and Medicine, vol. 64, pp. 347-359, 2015.
  2. A. Doostparast, M. H. Fazel Zarandi, A New Cluster Validity Measure Based on General Type-2 Fuzzy Sets: Application in Gene Expression Data Clustering, Knowledge-based Systems, vol. 64, pp. 81-93, 2014.
  3. A. Doostparast, M. H. Fazel Zarandi, Hierarchical Collapsing Method for Direct Defuzzi cation of General Type-2 Fuzzy Sets, Information Sciences, vol. 277, pp. 842-861, 2014.
  4. G. Thakur, B. Daigle, A. Doostparast, Y. Zhang, B. Hsu, L. Petzold, F. Doyle, "Bioinformatics, Modeling and Machine Learning Findings on Post Traumatic Stress Disorder", New York University School of Medicine, 2015.
  5. A. Doostparast, M. H. Fazel Zarandi, G. Doostparast, A Hybrid Fuzzy-Ontology Based Intelligent System to Determine Level of Severity and Treatment Recommendation for Benign Prostatic Hyperplasia, Computers Methods and Programs in Biomedicine, vol. 113, pp. 301-313, 2014.
  6. A. Doostparast, M. H. Fazel Zarandi,Pseudo Semi-Supervised General Type-2 Fuzzy Clustering using Euclidean and Manifold Distances Applied to Gene Segmentation, Scientia Iranica, accepted, 2016.
  7. A. Doostparast, M. H. Fazel Zarandi, I. B. Turksen, Computing centroid of general type-2 fuzzy sets using Constrained Centroid Algorithm, Scientia Iranica, In Press, 2014.
  8. J. Yazdi, A. Doostparast, Risk Based Optimal Design of Detention Dams Considering Uncertain Infows, Stochastic Environmental Research and Risk Assessment, Springer, 2015, in press.
  9. A. Doostparast, M. H. Fazel Zarandi, H. Zakeri, On Type-Reduction of Type-2 Fuzzy Sets: A Review, Applied Soft Computing, vol. 27, pp. 614-627, 2015.
  10. M. H. Fazel Zarandi, A. Doostparast, I. B. Turksen, B. Rezaei, A new indirect approach to the type-2 fuzzy systems modeling and design, Information Sciences, vol. 232, pp. 346-365, 2013.
  11. S. R. Hejazi., A. Doostparast, S. M. Hosseini, An Improved Fuzzy Risk Analysis based on a New Similarity Measure of Generalized Fuzzy Numbers, Expert Systems with Applications, vol. 38, no. 8, pp. 9179-9185, 2011.
  12. A. Doostparast, S. R. Hejazi. A Fuzzy Approach to Sequential Failure Analysis Using Petri nets, International Journal of Industrial Engineering & Production Research, vol. 21, no. 2, pp. 53-60, 2010.
  13. A. Doostparast, J. Parvizian, A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy Numbers, Advances in Fuzzy Systems, doi:10.1155/2012/957697, 2012.
  14. A. Doostparast, J. Parvizian., F. Tooyserkani, Novel Algorithms in Sequence Determination of Petri Nets Firing: Application in Sequential Failure Analysis, Journal of Industrial Engineering, doi: 10.1155/2013/767914, 2013.
  15. A. Doostparast, L. Petzold, M. Cohen, Direct Higher Order Fuzzy Rule-based Classifi cation System: Application in Mortality Prediction, IEEE International Conference on Bioinformatics & Biomedicine, IEEE BIBM, 2015.
  16. A. Doostparast, M. H. Fazel Zarandi, A Two-Stage Meta-heuristic Approach to General Type-II Fuzzy Clustering for Microarray Data Analysis, Proceedings of 33th North American Fuzzy Information Processing Society Meeting (NAFIPS 2014), Boston, USA, 2014.
  17. A. Doostparast, M. H. Fazel Zarandi, Pseudo Semi-Supervised General Type-II Fuzzy Clustering, Proceedings of 33th North American Fuzzy Information Processing Society Meeting (NAFIPS 2014), Boston, USA, 2014.
  18. M. Rostam Niakan, M. H. Fazel Zarandi, A. Doostparast, Utilizing Fuzzy Relations in interval type-2 Possibilistic C-Means Clustering, Proceedings of 33th North American Fuzzy Information Processing Society Meeting (NAFIPS 2014), Boston, USA, 2014.
  19. H. Zakeri, F. Moghadas Nejad, A. Doostparast, M. H. Fazel Zarandi, A New Automatic MF Generator (AMFG) for General 3D Type-II Fuzzy in the Polar Frame, Proceedings of 33th North American Fuzzy Information Processing Society Meeting (NAFIPS 2014), Boston, USA, 2014.
  20. H. Zakeri, F. Moghadas Nejad, A. Doostparast, M. H. Fazel Zarandi, A New Degree of Uncertainty for General 3D Type-II Fuzzy and Its Application in Asphalt Pavement Cracking Automatic Analysis, Proceedings of 33th North American Fuzzy Information Processing Society Meeting (NAFIPS 2014), Boston, USA, 2014.
  21. M. H. Fazel Zarandi, A. Doostparast, A New Fuzzy Risk Assessment Method in Information Systems Based on A New Similarity Measure Between Interval-valued Fuzzy Numbers, International Conference on Electrical and Computer Systems (ICECS 2012), Ottawa, Canada, 2012.
  22. A. Doostparast, M. H. Fazel Zarandi, H. Zakeri, F. Moghadas Nejad, A Multi-Stage Expert System for Classi cation of Pavement Cracking, IFSA/NAFIPS Joint Conference, Edmonton, Canada, 2013.
  23. M. H. Fazel Zarandi, A. Doostparast, A New Validation Criteria for Type-2 Fuzzy c-means and Possibilistic c-means, Proceedings of 31th North American Fuzzy Information Processing Society Meeting (NAFIPS 2012), Berkeley, USA, 2012.
  24. A. Doostparast, M. H. Fazel Zarandi, H. Zakeri, F. Moghadas Nejad, A New Output Processing Method for Type-2 Fuzzy Systems, The 8th International Symposium On Intelligent & Manufacturing Systems, Antalya, Turkey, 2012.
  25. H. Zakeri, F. Moghadas Nejad, A. Doostparast, M. H. Fazel Zarandi, A new type of membership functions and uncertainty grade in the frame of polar systems, The 8th International Symposium on Intelligent & Manufacturing Systems, Antalya, Turkey, 2012.
  26. A. Doostparast, S. Samadi. A Novel Fault Detection Method in Automated Storage Systems using First Order Hybrid Time Petri Nets. Proceedings of Irans First International Conference on Industrial Automation, Sharif University of Technology, 2009.
  27. S. R. Hejazi.,A. Doostparast, S. M. Hosseini., A Modi ed Fuzzy Risk Analysis Based on Similarity Measures between Generalized Fuzzy Numbers.10thIranian Conference on Fuzzy Systems (IFS 2010), 2010.
  28. M. Hosseini., M. H. A. Tabatabaei., A. Doostparast, S. R. Hejazi. A New Approach for Ranking Generalized Trapezoidal Fuzzy Numbers. 10thIranian Conference on Fuzzy Systems (IFS 2010), 2010.
  29. S. Samadi, A. Doostparast, A Petri net Based Fault Detection in Flexible Manufacturing Systems. Proceedings of 4th Condition Monitoring and Fault Diagnosis Conference (CMFD 2010), Sharif University of Technology, 2010.

 

Publications in Progress

  1. A. Doostparast, L. Petzold, "Sparse pathway-induced dynamic biomarker discovery for early warning signal detection in complex diseases", IEEE Transactions on Computational Biology and Bioinformatics, Under Review, 2016.
  2. A. Doostparast, L. Petzold, "Graph-based Semi-Supervised Learning with Genomic Data Integration Using Condition-Responsive Genes Applied to Phenotype Classi cation", Journal of American Medical Informatics Association, Under Review, 2016.
  3. A. Doostparast, L. Petzold, M. Cohen, "Multivariate soft repulsive system identi cation for constructing rule-based classi cation systems: Application to trauma clinical data", Neurocomputing, Under Review, 2016.
  4. A. Doostparast, R. Jiang, L. Petzold, "Epigenetic and transcriptomics whole genome network analysis to uncover molecular signatures of Post-Traumatic Stress Disorder ", In Progress, 2017.
  5. A. Doostparast, B. Misganaw, L. Petzold, F. Doyle, "Genome-Wide Molecular Characterization of Post-Traumatic Stress Disorder: From Genome to Epigenome ", In Progress, 2017.
  6. A. Doostparast, L. Petzold, M. Cohen, "Data-driven genome-wide time-course molecular functional characterization of highly traumatized patients ", In Progress, 2016.
  7. M. Abouei Ardakan, S. H. Mirmohammadi, A. Koorank Beheshti, A. Doostparast, A hybrid meta-heuristic algorithm to minimize the number of tardy jobs in a dynamic two machine flow shop problem, Knowledge-based Systems, Under Review, 2015.