In the Name of God

Hoda Mashayekhi

Assistant Professor

Computer Engineering and Information Techonology department

Shahrood University

Shahrood, Iran

hmashayekhi [AT] shahroodut [dot] ac [dot] ir

mashayekhi [AT] ce [dot] sharif [dot] edu

+98 (273) 3392204



Educational Background


Research Interests

  • Distributed data mining, parallel and distributed algorithms
  • Peer-to-peer networks, semantic structures
  • Trust systems, decision making

Publications

    Journals

  • S. Goli, H. Mahjub, J. Faradmal, H. Mashayekhi, A. R. Soltanian, Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector Regression. Computational and Mathematical Methods in Medicine, 2016.

  • M. Barkhordari, Z. Nourollah, H. Mashayekhi, Y. Mashayekhi, M. S. Ahangar, Factors influencing adoption of e-payment systems: an empirical study on Iranian customers. Information Systems and e-Business Management, 1-28, 2016.

  • Z. Amiri, A. Pouyan, H. Mashayekhi, A Topology Control Algorithm for Autonomous Underwater Robots in Three-dimensional Space using PSO, Journal of AI and Data Mining, 2015.

  • H. Mashayekhi, J. Habibi, T. Khalafbeigi, S. Voulgaris, M. van Steen, GDCluster: A General Decentralized Clustering Algorithm, IEEE Transactions on Knowledge and Data Engineering, 2015.

  • R. Alizadehsani, J. Habibi, Z. Alizadeh Sani, H. Mashayekhi, R. Boghrati, A. Ghandeharioun, Diagnosing Coronary Artery Disease via Data Mining Algorithms by considering Laboratory and Echocardiography Features, Computer methods and programs in biomedicine, 2013. pdf

  • R. Alizadehsani, J. Habibi, Z. Alizadeh Sani, H. Mashayekhi, R. Boghrati, A. Ghandeharioun, F. Khozeimeh, F. Alizadeh-Sani, Diagnosing Coronary Artery Disease via Data Mining Algorithms by Considering Laboratory and Echocardiography Features, Res Cardiovasc Med J, 2013.

  • H. Mashayekhi, J. Habibi, S. Voulgaris, M. van Steen, GoSCAN: Decentralized scalable data clustering, Computing, 2013.

  • H. Mashayekhi, J. Habibi, L-overlay: A layered data management scheme for peer-to-peer computing, P2P Networking and Applications, 2013.

  • M. Ghashami, H. Mashayekhi, J. Habibi, Reducing dimension of data in a distributed environment , International Journal on Internet and Distributed Computing Systems. Vol 3, N0. 1, pp. 199-206, 2013

  • R. Alizadehsani, J. Habibi, Z. Alizadeh Sani, H. Mashayekhi, R. Boghrati, A. Ghandeharioun, B. Bahadorian, Diagnosis of Coronary Artery Disease Using Data mining based on Lab Data and Echo Features, Journal of Medical and Bioengineering, 2012. pdf

  • R. Alizadehsani, J. Habibi, B. Bahadorian, H. Mashayekhi, A. Ghandeharioun, R. Boghrati, Z. Alizadeh Sani, Diagnosis of Coronary Arteries Stenosis Using Data Mining, Journal of Medical Signals and Sensors, Vol 2, No 3, pp. 57-65, 2012. pdf

  • H. Mashayekhi, J. Habibi, Combining search and trust models in unstructured peer-to-peer networks, Journal of Supercomputing, Springer Netherlands Press, Vol. 53(1), pp. 66 - 85, 2010. pdf (The original publication is available at www.springerlink.com)

  • Conferences

  • M. Rahimi, M. Zahedi, H. Mashayekhi, A Two level Probabilistic Topic Model, Iranian Conference on Electrical Engineering (ICEE), 2016

  • M. S. Hosseini, A. Pouyan, S. Ferdowsi, H/ Mashayekhi EEG–Based Emotion Recognition using Deep Belief Network and Empirical Mode Decomposition, 3rd national conference on applied research in electrical, mechanical and mechatronic, 2016

  • Z. Amiri, A. Pouyan, H. Mashayekhi, A Decentralized Three-Dimensional Control Algorithm for Autonomous Underwater Robots in surveillance application, 3rd international conference on applied research in computer engineering and information technology, 2016

  • M. Rahimi, M. Zahedi, H. Mashayekhi, Incorporating Local Word Relationships into Probabilistic Topic Models, in proceedings of IKT2015, 2015

  • Z. S. Kalantaryan, H. Mashayekhi, A. Abdoshahi, GFCM: A Gossip-Based Fuzzy C-means Algorithm, in proceedings of IKT2014, 2014.

  • Khodaverdi, H. Mashayekhi, Analyzing the characteristics of drug addicts referred to MMT centers using data mining techniques, The 8’th international congress on addiction science, 2014 (persian).

  • H. Mashayekhi, J. Habibi, H. Rostami, TBSearch: Trust Based Search for unstructured Peer-to-Peer Networks, SKG2008, IEEE Press, pp. 227-234, December 2008. pdf

  • H. Mashayekhi, J. Habibi, H. Rostami,Efficient Semantic based Search in Unstructured Peer-to-Peer Networks, Proc. of the Second Asia International Conference on Modelling & Simulation, IEEE Press. pp.71-76, May 2008. pdf

  • H. Mashayekhi, F. Saremi, J. Habibi, H. Rostami, H. AbolHassani, An Ontology Based Routing Index in Unstructured Peer-to-Peer Networks, Proc. of the 13th International CSI Computer Conference - CSICC'08, Springer-Verlag, CCIS 6, pp. 960-663, 2008.

  • F. Saremi, H. Mashayekhi, A. Movaghar, R. Jalili, CEBAC: A Decentralized Cooperation Enforcement Based Access Control Framework in MANETs, Proc. of the 13th International CSI Computer Conference - CSICC'08, Springer-Verlag, CCIS 6, pp. 427-434, 2008.

  • F. Saremi, H. Mashayekhi, and M. Ghodsi, Fault Tolerant Broadcast in One Port Meshes of Trees with Distance Insensitive Routing. 13th National CSI Computer Conference - CSICC'08, March 9-14 2008 (in Persian) pdf

  • M. Ghashami, H. Mashayekhi, J. Habibi, DLPR: A Distributed Locality Preserving dimension Reduction algorithm, Proc. of IDCS 2012, LNCS, 2012. pdf

  • M. Bagheri, S.-H. Mirian-Hosseinabadi, H. Mashayekhi, J. Habibi, Mining Distributed Frequent Itemsets Using a Gossip based Protocol, Proc. of UFirst 2012, IEEE press, 2012. pdf

  • M. Bagheri, S-H. Mirian-Hosseinabadi, H. Mashayekhi, J. Habibi (2011) Proposing an algorithm for idendifying frequent items using a gossip based hirerachical algorithm, Proc. of IDMC'11 (in persian)

  • H. Mashayekhi, J. Habibi, K-Nearest Neighbor Search in Peer-to-Peer Systems, Proc. of The Second International Conference on Advances in P2P Systems, Oct. 25-30, Italy, 2010. pdf

  • S. Hesari, H. Mashayekhi, R. Ramsin, Towards a general framework for evaluating software development methodologies, Proc. of the 34th Annual IEEE Computer Software and Applications Conference (COMPSAC10), pp. 208-217, 2010.