Faculty Board

EDUCATION
- Ph.D. in Statistics, Department of Statistics, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran
- M.S. in Statistics , Department of Statistics, Faculty of Mathematical Sciences, Univer- sity of Tehran, Tehran, Iran
- B.A. in Statistics, Department of Statistics, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran
PROFESSIONAL EXPERIENCE
- Member of the organizing committee, Scientific Committee for the First Event on Play with Real Data, with support from International Statistical Institute (2020-2021)
- Member of the organizing committee, The third Frontiers in Biological Sciences sympo- sium at the School of Biological Sciences, Institute for research in fundamental sciences (IPM), Iran (2019)
- Member of the organizing committee, Workshop on Advanced Statistical Methods in Cognitive Science (SDAT Team) (2018)
- Member of the organizing committee, Second Frontiers in Biological Sciences sympo- sium at School of Biological Sciences, part of the Institute for research in fundamental sciences (IPM) in Iran (2018)
- Member of the organizing committee, Systems Biology Seminar at School of Biological Sciences, part of the Institute for research in fundamental sciences (IPM) in Iran (2018)
- Member of the organizing committee, NGS workshop at School of Biological Sciences, Institute for research in fundamental sciences (IPM) in Iran (2018)
- Member of the organizing committee, The First Frontiers in Biological Sciences sym- posium at School of Biological Sciences, Institute for research in fundamental sciences (IPM) in Iran (2017)
- Member of the organizing committee, Workshop on Advanced Statistical Methods (SDAT Team) (2016)
- Member of the organizing committee, Summer School in Bioinformatics at School of Biological Sciences, Institute for research in fundamental sciences (IPM) in Iran (2015)
- Reviewer for Bioinformatics Journal (5 reviews) (2016)
- Reviewer for IEEE Access Journal (9 reviews) (2018)
- Reviewer for Wiley Interdisciplinary Reviews: Systems Biology and Medicine Journal (2 reviews) (2020)
- Reviewer for BMC Bioinformatic Journal (2 reviews) (2020)
- Reviewer for BMC Genomics Journal (2 reviews) (2020)
- Reviewer for Pattern Recognition Letters Journal (1 reviews) (2016)
- Reviewer for Pattern Recognition Journal (1 reviews) (2015)
- Reviewer for Computational and Mathematical Methods in Medicine Journal (1 reviews) (2019)
- Reviewer for Iranian Journal of Biotechnology Journal (1 reviews) (2015)
- Reviewer for Journal of the Iranian Statistical Society (1 reviews) (2016)
- Reviewer for INFS Proposals (reviewed 1 proposal) (2019)
ARTICLES
- Rosa Aghdam, Mahnaz Habibi, and Golnaz Taheri. Using informative features in ma- chine learning based method for covid-19 drug repurposing. Journal of Cheminformatics, 13(70), 2021.
- Raziyeh Masumshah, Rosa Aghdam, and Changiz Eslahchi. A neural network-based method for polypharmacy side effects prediction. BMC bioinformatics, 22(1):1–17, 2021.
- Sayyed Hadi Mahmoodi, Rosa Aghdam, and Changiz Eslahchi. An order independent algorithm for inferring gene regulatory network using quantile value for conditional independence tests. Scientific Reports, 11(1):1–15, 2021.
- Mahnaz Habibi, Golnaz Taheri, and Rosa Aghdam. A SARS-CoV-2 (COVID-19) biolog- ical network to find targets for drug repurposing. Scientific Reports, 11(1):1–15, 2021.
- Elnaz Saberi Ansar, Changiz Eslahchi, Mahsa Rahimi, Lobat Geranpayeh, Marzieh Ebrahimi, Rosa Aghdam, and Gwenneg Kerdivel. Significant random signatures reveals new biomarker for breast cancer. BMC Medical Genomics, 12(1):160, 2019.
- Rosa Aghdam, Vahid Rezaei Tabar, and Hamid Pezeshk. Some node ordering methods for the K2 algorithm. Computational Intelligence, 35(1):42–58, 2019.
- Rosa Aghdam, Taban Baghfalaki, Pegah Khosravi, and Elnaz Saberi Ansari. The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer. Genomics, proteomics & bioinformatics, 15(6):396–404, 2017.
- Rosa Aghdam, Mojtaba Ganjali, Parisa Niloofar, and Changiz Eslahchi. Inferring gene regulatory networks by an order independent algorithm using incomplete data sets. Journal of Applied Statistics, 43(5):893–913, 2016.
- Rosa Aghdam, Taban Baghfalaki, Pegah Khosravi, and Elnaz Saberi Ansari. Compar- ative Analysis of Gene Regulatory Networks Concepts in Normal and Cancer Groups. Bioinformatics & Biocomputational Research, 1(1), 2016.
- Rosa Aghdam, Mohsen Alijanpour, Mehrdad Azadi, Ali Ebrahimi, Changiz Eslahchi, and Abolfazl Rezvan. Inferring gene regulatory networks by PCA-CMI using Hill climbing algorithm based on MIT score and SORDER method. International Journal of Biomathematics, 9(03):1650040, 2016.
- Mahnaz Habibi, Pooneh Khoda Bakhshi, and Rosa Aghdam. LRC: A new algorithm for prediction of conformational B-cell epitopes using statistical approach and clustering method. Journal of immunological methods, 427:51–57, 2015.
- Rosa Aghdam, Mojtaba Ganjali, Xiujun Zhang, and Changiz Eslahchi. CN: a consensus algorithm for inferring gene regulatory networks using the SORDER algorithm and conditional mutual information test. Molecular BioSystems, 11(3):942–949, 2015.
- Rosa Aghdam, Mojtaba Ganjali, and Changiz Eslahchi. IPCA-CMI: an algorithm for inferring gene regulatory networks based on a combination of PCA-CMI and MIT score. PloS one, 9(4):e92600, 2014.
- Sattar Soltani, Hossein Askari, Nasim Ejlali, and Rosa Aghdam. The structural prop- erties of DNA regulate gene expression. Molecular BioSystems, 10(2):273–280, 2014.
- Rosa Aghdam, Hamid Pezeshk, Seyed Amir Malekpour, Soudabeh Shemehsavar, and Changiz Eslahchi. A clustering approach for estimating parameters of a profile hidden Markov model. International journal of data mining and bioinformatics, 8(1):66–82, 2013.
- Ali Ebrahimi, Rosa Aghdam, Parisa Niloofar, Mojtaba Ganjali, and Changiz Eslahchi. LSPC: An algorithm for inference of gene networks using Bayesian network. Journal of Emerging Trends in Computing and Information Sciences, 3(5), 2012.
- Rosa Aghdam, Hamid Pezeshk, Seyed Amir Malekpour, Mehdi Sadeghi Shemehsavar, Soudabeh, and Changiz Eslahchi. A Bidirectional Bayesian Monte Carlo Approach for Estimating Parameters of A Profile Hidden Markov Model. Applied Science Segment, 1(2):1–10, 2011.
- Rosa Aghdam, Nasim Ejlali, and Hamid Pezeshk. A New Method for Estimating Pa- rameters of a Profile Hidden Markov Model. Biostatistics, Bioinformatics and Biomathe- matics, 2(1):33–42, 2010.
CONFERENCE PAPERS
- Rosa Aghdam, Mojtaba Ganjali, and Changiz Eslahchi. A Hybrid Algorithm for Infer- ring Gene Regulatory Networks. Twelfth Iranian Statistical Conference. Kermanshah, Iran, 2014.
- Rosa Aghdam, Mohsen Alijanpour, Mehrdad Azadi, and Ali Ebrahimim. Applying a Hybrid Method based on PC algorithm-based approach and MIT Score to Infer Gene Regulatory Networks. 5th Iranian Conference on Bioinformatics. Tehran, Iran, 2013.
- Rosa Aghdam, Hamid Pezeshk, and Mojtaba Ganjali. A new method for estimating pa- rameters of a profile hidden Markov model based on phylogenetic tree. 11th conference of Statistics.Tehran, Iran, 2012.
TALKS AND DEMONSTRATION
- Talk & Demo: “MISSL: Multiple Instance Semi Supervised Learning”. 23rd International Conference on Machine Learning (Pittsburgh, Pennsylvania) (2006)
- Talk & Demo: “Accio! Localized Content Based Image Retrieval”. Waseda University (Tokyo, Japan) (2005). University of ElectroCommunications (Tokyo, Japan) (2005). National University of Singapore (Singapore) (2005). 7th ACM SIGMM International Workshop on Multimedia (Singapore) (2005)
PROFESSIONAL ACTIVITIES
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Reviewer for article submitted for publication.
- IEEE Transactions on Knowledge and Data Engineering (2009)
-Reviewer for article submitted for publication.
- Journal of Pattern Recognition (2009)
-Reviewer for article submitted for publication.
- Journal of Machine Learning Research (2005)
-Coreviewed 2 articles submitted for publication.
- IEEE Transactions on Neural Networks (2005)
-Coreviewed article submitted for publication.
GRANT PROPOSALS (COAUTHOR)
- Improving CBIR Accuracy through SemiSupervised Learning (2007)
-Principle Investigators: Sally Goldman
-Proposal, National Science Foundation (recommended for funding)
- KnowledgeBased Image Segmentation through Machine Learning (2007)
-Principle Investigators: Sally Goldman, Jason Fritts
-Proposal, National Science Foundation (recommended for funding)
- Applying MultipleInstance Learning to ContentBased Image Retrieval (2005)
-Principle Investigator: Sally Goldman
-Annual Report 0329241, National Science Foundation
TEACHING EXPERIENCE
- Technical Writing in English, School of Electrical & Computer Engineering, (2008)
– Master and Doctoral level course
– Challenging course – the goal was to teach writing excellence in English to foreign language students.
-Developed course material set and taught 3 hours/week
-Received excellent reviews from students and colleagues - Advanced Algorithms, Department of Computer Science,Washington University, St. Louis, Missouri (2006)
– Graduate level course.
– Prepared and taught weekly recitation section 3 hours/week class time
– Held weekly office hours and helped run grading sessions
– Received high evaluation scores from students - Engineering and Scientific Computing, Department of Computer Science, Washington University, St. Louis, Missouri(2007)
-Conducted weekly MATLAB laboratory section – 1.5 hours/week.
– Held weekly office hours and helped run grading sessions - Beginning Persian I, Department of Near Eastern Languages,Washington University, St. Louis, Missouri (2005)
– Prepared and taught cultural section on Persian culture and language 1 hour/week class time
– Received high evaluation scores from students
REWARDS AND HONORS
- Dean’s Honorary Scholarship
- E. & Goldie G. Millstone Scholarship
- Dean’s List
- Bausch and Lomb Award
- AP Scholar with Honors