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***Armin*** · 15 April 2011، 08:01 AM

SCHOOL OF : Electrical and Computer Engineering

TEL. No. : 0098 711 6133544

FAX No. : 0098 711 6474605

E-MAIL : دیدن لینک ها برای شما امکان پذیر نیست. لطفا ثبت نام کنید یا وارد حساب خود شوید تا بتوانید لینک ها را ببینید.

RANK : Assistant Professor

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Education:

BS: Computer Hardware, Isfahan University of Technology

MSc: Artificial Intelligence, Iran University of Science and Technology

PhD:
Artificial Intelligence, Iran University of Science and Technology & Monash University Australia

• Email Address : s_hashemi[at]shirazu.ac.ir
• Phone : (+98) 711 613 3544
• Fax : (+98) 711 647 4605

Professional Experiences:

• Reviewer of IEEE Transaction on Data and Knowledge Engineering
• Reviewer of Journal of Knowledge and Data Engineering
• Reviewer of International Journal of Software Engineering and Data Engineering
• Reviewer of Journal of Supercomputing

• Reviewer for Conference of Knowledge Discovery and Data Mining (KDD)
• Reviewer for European Conference of Machine Learning (ECML)
• Reviewer for Australian Conference on Artificial Intelligence (AUAI)
• Reviewer for Conference of Computer Society of Iran

Research Areas:

• Machine Learning & Data Mining
• Data Stream and Time Series Mining
• Intelligent Malware Detection
• Game Theory & Adversarial Learning
• Web Mining & Fraud Detention
• Social Network & Community Formation
• Privacy Preserving Machine Learning

List of Publications:

• Sattar Hashemi, Ying Yang, Zahra Mirzamomen, Mohammadreza Kangavari. Adapted One-vs-All Decision Trees for Data Stream Classification. IEEE Transaction on Knowledge and Data Engineering, VOL. 21, NO. 4, APRIL 2009

• Sattar Hashemi, Ying Yang. Flexible Decision Trees for Mining High Speed Data Streams at Presence of Noise and Uncertainty. Data Mining and Knowledge Discovery, volume 19 no.1, p.95-131, August 2009.

• Ali Hamzeh, Sattar Hashemi, Ashkan Sami, Adel Rahmani: A Recursive Classifier System for Partially Observable Environments. Fundam. Inform. 97(1-2): 15-40, 2009

• Mohsen Rahmani, Sattar Hashemi, Ali Hamzeh, Ashkan Sami: Agent Based Decision Tree Learning: a Novel Approach. International Journal of Software Engineering and Knowledge Engineering 19(7): 1015-1022, 2009

• Sattar Hashemi, Mohammadreza Kangavari, Ying Yang. Class Specific Fuzzy Decision Trees for Mining data Streams. Fundamenta Informaticae, volume 88 no. 1-2, p.135-160, December 2008

• Sattar Hashemi, Ying Yang, Davoud Zabihzadeh, Mohammadreza Kangavari. Detecting Intrusion Transactions in Databases Using Data Item Dependencies and Anomaly Analysis. Journal of Expert Systems, volume 25, 2008.

• Farzad Firouzi, Marjan Rashidi, Sattar Hashemi, Mohammadreza Kangavari. A decision tree-based approach for determining low bone mineral density in inflammatory bowel disease using WEKA software, European Journal of Gastroenterology & Hepatology. 19(12):1065-1081, December 2007.

Presentation in Conferences:

• Z. Khorshidpour, S. Hashemi, A. Hamzeh, “Distance Learning for Categorical Attribute based on Context Information”, in Proc. Of IEEE international Conference on Software Technology and Engineering, ICSTE, USA, 2010.

• H. Homayouni, S. Hashemi, A. Hamzeh, “Instance-based Ensemble Learning Algorithm with Stacking Framework”, in 2nd International Conference on Software Technology and Engineering (ICSTE 2010), USA

• F. Shoeleh, A. Hamzeh and S. Hashemi, " To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition ", In Proceeding of Seal Conference, Springer, 2010.

• M. Majd, F. Shoeleh, A. Hamzeh and S. Hashemi, "Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme", In Proceeding of Seal Conference, Springer, 2010.

• A. Sami, H. Rahimi, A. Yadegari, S. Hashemi, A. Hamzeh, Malware Detection Based on Mining API Calls, To be Appeared in the Proceedings of ACM SAC'10 March 22-26, 2010, Sierre, Switzerland.

• N. Mozafari, M. A. Nikouei, S. Hashemi, “A Framework for Distributed Clustering with Ability to Detect and Remove Outliers Using Fuzzy Rough Set Theory”, CSICC 2010.

• M. Alibeigi, S. Hashemi, A. Hamzeh, “A Novel Feature Ranking Approach for Imbalanced Data Sets”,.in 3rd International Conference on Computer and Electrical Engineering, 2010.

• N. Mozafari, M. A. Nikouei, S. Hashemi , “A New Method for Clustering in Unsupervised Distributed Environments using Fuzzy Rough set Theory”, The 10th Iranian Conference on Fuzzy Systems, Tehran, Iran, 13-15 July, 2010

• A. Naeimi Sadigh, S. Hashemi, A. Hamzeh, A. Sami, “A Game Theory Approach for Linearity Support Vector Machines and Comparison of Methods for Multi-Class”, The 3rd Iranian Data Mining Conference (IDMC'09), Tehran, Iran, 15-16 December, 2009

• A. Naeimi Sadigh, S. Hashemi, A. Hamzeh, “Using Fuzzy Game Theory for SVM”, The 10th Iranian Conference on Fuzzy System, Tehran, Iran, 13-15 July, 2010

• E. Ahmadi, M. Taheri, N. Mirshekari, S. Hashemi, A. Hamzeh, A. Sami, Cooperative Fuzzy Rulebase Construction based on a Novel Fuzzy Decision Tree, 2009, IEEE Innovations 2009, pp. , Dubai, UAE.

• N. Mozafari, M. Alibeigi, S. Hashemi, A. Hamzeh, A. Sami, “Toward Robust Privacy Preserving Clustering: A Weighted Ensemble Approach”, The 3rd Iranian Data Mining Conference (IDMC'09), Tehran, Iran, 15-16 December, 2009

• Sattar Hashemi, Mohammadreza Kangavari. To Better Handle Concept Change and Noise: A Cellular Automata Approach to Data Stream Classification. Australian conference on Artificial Intelligence. LNAI, 2007. 669-674

• Mashall Aryan, Sattar Hashemi, Morteza Analoui: Flexible Classifier Selection for Accuracy-Based Classi-fier Systems. IMECS 2007: 162-165

• Zahra FarzanYar, Mohammadreza Kangavari, Sattar Hashemi. Effect of Similar Behaving Attributes in Mining of Fuzzy Association Rules in the Large Databases. ICCSA (1) 2006: 1100-1109, LNCS

• Zahra FarzanYar, Mohammadreza Kangavari, Sattar Hashemi. A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology. ICDM Workshops 2006: 65-69

• Zahra FarzanYar, Mohammadreza Kangavari, Sattar Hashemi. An Efficient Distributed Algorithm for Mining Association Rules. ISPA 2006: 383-393, LNCS.

• Bagher Fathi, Sattar Hashemi, M.R. Kangavari. A Distributed Algorithm for Association Rule Mining in Very Large Datasets. 11th conference of Computer society of Iran , Tehran Iran. 2005. PP 243-253.

• Sattar Hashemi, M.R. Kangavari. A Novel distributed clustering algorithm on voluminous and noisy data. 11th conference of Computer society of Iran , Tehran Iran. 2005. PP 315-321.

• Sattar Hashemi, M.R. Kangavari. Multi Agent Decision tree Learning. 6th conference of Artificial intelligence of Iran , Kerman Iran. 2004.

• Sattar Hashemi, M.R. Kangavari, Caro Locus. Fuzzy Decision trees, Challenges and opportunities. 5th an-nual fuzzy conference, PP 152-160,Tehran Iran. 2003.

• Sattar Hashemi, M.R. Kangavari. Parallel learning of Decision Trees, A Novel Approach. 10th international conference of Computer society of Iran , Tehran Iran. 2002. PP 112-120.

• Sattar Hashemi, M.R. Kangavari. A Comparative Study of Decision Tree Growing and Pruning methods. 10th annual international power conference, Tabriz Iran. 2001. PP 207-126.

Research Projects:

• Australian Research Council (ARC) Discovery Project
• Malware Detection and Analysis Based on Machine Learning Techniques, APA Research Center
• AI Based Determination of Low Bone Mineral Density in Inflammatory Bowel Disease
• Design and Implementation of a Hardware Board to Capture Humidity Using 8751 Microcontroller Series
• Design and Implementation of a Peer to Peer System Using Universal Serial Bus of Computer
• Persian Speech Recognition Using Time Delay Neural Networks (TDNN) Design and Implementation
• Persian Speech Tagging using Neural Network
• Using Domain Knowledge for Transforming of Gray Level Pictures to Colored Pictures
• Design and Implementation of a Data Acquisition Board

Given Seminars:

• Towards Better Discretization of Numeric Attributes: An Information Theoretic Approach
• Data Mining in Medical Data Set Using WEKA: A Case Study

Honors and Awards:

• Iranian Entrance Examination for Bachelors Degree, 1994
• Accepted in National Computer Science Graduate Studies Entrance Exam in Iran, April 2000
• Ranked First in Artificial Intelligence and Robotics Field, Department of Computer Engineering, Iran University of Science and Technology
• Honorary Academic Staff at Faculty of Information Technology, Monash University, Australia 2006-2008

Courses Taught:

Graduate Courses

• Machine Learning and Data Mining
• Advanced Artificial Intelligence
• Advanced Topics in Learning Theory
• Reinforcement Learning
• Game Theory

Undergraduate Courses

• Operating Systems Concepts and Techniques
• Data Structures and algorithms
• Artificial Intelligence
• Advanced Programming
• Machine Language and Assembly Programming

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