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HOSSEIN RAHMANI

Assistant Professor


Office No:304

Phone:021-73225317

Email: h_rahmani@iust.ac.ir

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Background

Sep 2015 - Now

Assistant Professor

  • Iran University of Science and Technology, Tehran, Iran
  • Department of Computer Engineering
  •  

Sep 2015 - Mar 2019

Research Fellow

  • Maastricht University, Maastricht, Netherlands
  • Department of Knowledge Engineering
  • Project: Mining Social Structures from Genealogical Data

Aug 2012- Aug 2014

Post-Doctoral Researcher

  • Maastricht University, Maastricht, Netherlands
  • Department of Knowledge Engineering
  • Project 1: Mining Social Structures from Genealogical Data
  • Project 2: Databases on Political Responsiveness

Nov 2008 – Aug 2012

PhD

  • Leiden University, Leiden, Netherlands
  • Leiden Institute of Advanced Computer Science
  • Thesis: Mining Annotated Graphs

Fall 2006 - Fall 2008

Master of Science

  • Sharif University of Technology, Tehran, Iran
  • Artificial Intelligence Department
  • Thesis: Web Service Composition using AI planning methods

Fall 2001 - Fall 2006

Bachelor of Science

  • University of Tehran, Tehran, Iran
  • Electrical and Computer Engineering Department
  • Thesis: Model Driven Architecture (MDA)

Executive Positions

June 2019 - Now

Graduate Manager

  • Iran University of Science and Technology, Tehran, Iran
  • Department of Computer Engineering

Dec 2016 - June 2019

Cultural Manager

  • Iran University of Science and Technology, Tehran, Iran
  • Department of Computer Engineering

Publication



  • J. Efremova, B. Ranjbar-Sahraei, H. Rahmani, F.A. Oliehoek, T. Calders, K. Tuyls, and G. Weiss: Multi-Source Entity Resolution for Genealogical Data. In Hermann Winner; Stephan Hakuli; Felix Lotz & Christina Singer, ed., 'Population Reconstruction' , Springer, pp. 129-154.
  • R. Mahdavi, S. Fatehi and H. Rahmani: Predicting the Infertility Treatment Method Using Ensemble Methods and Outlier Analysis. In: Journal of Health Information Management (HIM 2019). Tehran Iran.
  • B. Ranjbar-Sahraeia, H. Rahmani, G. Weiss and K. Tuyls: Distant Supervision of Relation Extraction in Sparse Data . Intelligent Data Analysis journal. To be appeared on Volume 23(5), 2019.
  • V. Bashiri, H. Rahmani, and H. Bashiri: Discovering Important Nodes in Social Networks Using Entropy Measure. In: International Journal on Web Research, Vol. 1, No. 1, October-December 2018.
  • H. Rahmani, G. Weiss, O. Mendez-Luciob and A. Bender:ARWAR: a Network Approach for Predicting Adverse Drug Reactions. Computers in Biology and Medicine, Volume 68, 2016, 101-108.
  • H. Rahmani, B. Ranjbar-Sahraeia, G. Weiss and K. Tuyls: Entity Resolution in Disjoint Graphs with Application on Genealogical Data. Intelligent Data Analysis journal. Volume 1, 2016, 1-21.
  • H. Rahmani, H. Blockeel and A. Bender: Using a Human Drug Network for Generating Novel Hypothesis about Drugs. Intelligent Data Analysis journal. Volume 20, 2016, 183-197.
  • H. Rahmani, H. Blockeel and A. Bender: Using a Human Disease Network for Augmenting Prior Knowledge about Diseases. Intelligent Data Analysis Volume 19(4), 2015, 897-916
  • H. Rahmani, H. Blockeel and A. Bender: Predicting genes involved in human cancer using network contextual information. In: Journal of Integrative Bioinformatics, 9(1):210, 2012.
  • H. Rahmani, H. Blockeel and A. Bender: Predicting the functions of proteins in protein-protein interaction networks from global information. In: Journal of Machine Learning Research, JMLR 8: 82-97 (2010).
  • A. Zare, H. Rahmani: The Sentiment Analysis of Word Association and its comparison with Twitter Hashtags. In: Sixth Iranian Congress on Electrical and Computer Engineering (2019). Tehran Iran.
  • D. Javdani, H. Rahmani, M. Allahgholi, F. Karimkhani: DEEP BLOCK: A Novel Approach for Entity Resolution using Deep Learning. In: Fifth International Conference on Web Research (ICWR 2019). Tehran Iran.
  • H. Kamali, H. Rahmani, and H. Shah-Hosseini: DINGA: Discovery of Important Nodes in social networks using Genetic Algorithms. In: Third International Conference on Web Research (ICWR 2017). Tehran Iran.
  • V. Bashiri, H. Rahmani, and H. Bashiri: Finding Important Nodes in Social Networks. Third International Conference on Web Research (ICWR 2017). Tehran Iran. (In Press)
  • B. Ranjbar-Sahraei, J. Efremova, H. Rahmani, T. Calders, K. Tuyls and G. Weiss: HiDER: Query-Driven Entity Resolution for Historical Data. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. (ECML PKDD, Demo Track).Porto, portugal. September 7-11, 2015.
  • J. Efremova, B. Ranjbar-Sahraei, H. Rahmani, F. Oliehoek, T. Calders, K. Tuyls and G. Weiss: Multi-source entity resolution for genealogical data. In Population Reconstruction. Springer, 2015 (to appear).
  • H. Rahmani, B. Ranjbar-Sahraei, G. Weiss and K. Tuyls: Contextual Entity Resolution Approach for Genealogical Data. In: Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML-2014). In Press, Aachen, Germany.
  • H. Rahmani and C. Arnold: Policy Clusters: Government’s Agenda Across Policies and Time. In: The 10th International conference on Beyond Databases Architectures and Structures (BDAS 2014).
  • H. Rahmani and C. Arnold: Policy Miner: From Oysters to Pearls. In: The 6th Annual conference of the Comparative Agendas Project (CAP 2013).
  • C. Arnold and H. Rahmani: Legislative dynamics in Ireland: The influence of public opinion and European legislation. In The 6th Annual conference of the Comparative Agendas Project (CAP 2013).
  • H. Rahmani, H. Blockeel and A. Bender: Collaboration-based function prediction in protein-proein interaction networks. In: Proceedings of the 10th International Symposium on Advances in Intelligent Data Analysis: 318-327, Lecture Notes in Computer Science 7014 Springer (2011)
  • H. Rahmani, H. Blockeel and A. Bender: Interaction-Based Feature Selection for Predicting Cancer-Related Proteins in Protein-Protein Interaction Networks. In: Proceedings of the fifth International Workshop on Machine Learning in Systems Biology (MLSB 2011): 68-72, Vienna, Austria, July 20-21 (2011)
  • H. Rahmani, B. Piccart, H. Blockeel and D. Fierens: Three complementary approaches to context aware movie recommendation. In: Proceedings of the Workshop on Context-Aware Movie Recommendation: 57-60, ACM (2010)
  • H. Blockeel, H. Rahmani and M. Witsenburg: On the importance of similarity measures for planning to learn. In: P. Brazdil, A. Bernstein & J. Kietz (Eds.), 19th European Conference on Artificial Intelligence, 3rd Planning to Learn workshop (PlanLeH.arn-2010): 69-74 (2010)
  • H. Rahmani, H. Blockeel and A. Bender: Collaboration based function prediction in protein-protein interaction networks. In: Proceedings of the 7th International Symposium on Networks in Bioinformatics (2010)
  • H. Rahmani, H. Blockeel and A. Bender: Collaboration-based function prediction in protein-protein interaction networks. In: European Conference on Computational Biology (2010)
  • H. Rahmani, H. Blockeel and A. Bender: Collaboration-based function prediction in protein-protein interaction networks. In: Machine Learning in Systems Biology: Proceedings of the Fourth International Workshop: 55-58 (2010)
  • H. Rahmani, B.Nobakht and H. Blockeel: Collaboration-based social tag prediction in the graph of annotated web pages DyNaK 2010: Dynamic Networks and Knowledge Discovery. In: DyNaK 2010: Dynamic Networks and Knowledge Discovery: 1-12 (2010)
  • S. Aliakbary, H. Abolhassani, H. Rahmani and B. Nobakht: Web Page Classification Using Social Tags. In: IEEE 2009 International Conference on Computational Science and Engineering: 588-593 (2009)
  • H. Rahmani, H. Blockeel and A. Bender: Predicting the functions of proteins in PPI networks from global information. In: Proceedings of the Third International Workshop on Machine Learning in Systems Biology: 85-94, Helsinki University Printing House (2009)
  • H. Rahmani, H. Abolhassani: Composite Web Service Failure Recovery Considering User Non-Functional Requirements. In: 4th International Conference on Next Generation Web Services Practice. pp. 39-45 (2008)
  • H. Rahmani, G. R. Sani and H. Abolhassani: Automatic Web Service Composition considering User Non-Functional Preferences. In: 4th International Conference on Next Generation Web Services Practice,Seoul, Oct. 2008, pp. 33-38 (2008)
  • H. Rahmani: AI Planning Search Time and Space Reduction Technique for the Problem of Web Service Composition. In: First International symposium on search techniques in 
Artificial intelligence and robotics, (AAAI 2008)

Teaching

Graduate

Dynamic Complex Network

Main Resource: Newman, Mark. Networks: an introduction. Oxford university press, 2010.

Data Mining

Main Resource: Data Mining: Concepts and Techniques by Jiawei Han


Undergraduate

DataBases

Main Resource: Fundamentals of Database Systems by Ramez Elmasri and Shamkant B. Navathe

Introduction to Formal Language and Automata

Main Resource: An Introduction to Formal Languages and Automata by Peter Linz

Introduction to Data Structures and Algorithms

Main Resource: Introduction to Algorithms by Charles E. Leiserson, Clifford Stein, Ronald Rivest, and Thomas H. Cormen

Data Analysis Skills

Main Resource: Statistics at Square One by Michael J. Campbell and T. D. V. Swinscow

ABDAL

Advanced Big Data Analysis Laboratory


Milad Allahgholi

Master Student


Thesis Title:
Text mining using deep learning

Amirreza Farahani

Master Student


Thesis Title:
Detection and discovery of risk and suspected of fraud person in financial interactions network using automated methods based on graph mining

Paria Golshan-Rad

Master Student


Thesis Title:
An Intelligent Ensemble Classification based System for Identifying Risk Factors of Refractive Errors

Hamed Zangooei

Master Student


Thesis Title:
Annotated graphs classification based on topological attributes

Rana Mahdavi

Master Student


Thesis Title:
Prediction of the best methodology to treat infertile couple using data mining algorithms

Hasti Kamali

Master Student


Thesis Title:
Discovery of important nodes in the graph data of social networks using graph mining algorithms

Delaram Javdani

Master Student


Thesis Title:
Examining a variety of blocking methods in Entity Resolution

Arezoo Zare

Master Student


Thesis Title:
Social network semantic analysis with cognitive science approach

MohammadReza Jafari

Master Student


Thesis Title:
Discovering hidden relationships among drug side effect using graph mining algorithms

Elham Ashraf

Master Student


Thesis Title:
Credit scoring of bank customers by datamining algorithms

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