Ahmed K. Farahat

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	All	Since 2016
Citations	867	697
h-index	14	14
i10-index	18	17

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2010201120122013201420152016201720182019202020213 7 10 31 34 74 100 65 113 173 235 8

Co-authors

Chetan K GuptaHitachiVerified email at hal.hitachi.com
Mohamed S. KamelProfessor of Electrical and Computer Engineering, University of WaterlooVerified email at uwaterloo.ca
Ali GhodsiProfessor of Statistics and Computer Science, University of WaterlooVerified email at uwaterloo.ca
Ahmed ElgoharyUniversity of MarylandVerified email at cs.umd.edu
Chi ZhangUniversity of Tennessee, Hitachi America Ltd.Verified email at hal.hitachi.com
Fakhreddine (Fakhri) KarrayIEEE Fellow, University Research Chair, University of WaterlooVerified email at uwaterloo.ca
Hamed KhorasganiHitachi AmericaVerified email at hal.hitachi.com
Yun-Qian MiaoGeneral MotorsVerified email at uwaterloo.ca
Dipanjan Ghosh, PhDSenior Research Scientist, Industrial AI Labs (Hitachi America Ltd.)Verified email at buffalo.edu
Hany Hassan AwadallaMicrosoft ResearchVerified email at microsoft.com
Mehrdad J. GangehSenior AI Scientist, EY Global Technology InnovationVerified email at ey.com
Onur AtanUniversity of California, Los AngelesVerified email at ucla.edu
Sepideh SeifzadehUniversity of WaterlooVerified email at uwaterloo.ca
Ahmed ElbagouryPhD Student, Purdue UniversityVerified email at purdue.edu
Karan AggarwalGraduate Student, University of MinnesotaVerified email at umn.edu
Wei HuangNortheastern UniversityVerified email at coe.neu.edu
Marcos R. VieiraIndustrial AI Lab, Hitachi America Ltd - R&DVerified email at cs.ucr.edu
Arman HasanzadehPhD Student, Texas A&M UniversityVerified email at tamu.edu
Huijuan ShaoVirginia TechVerified email at vt.edu
Xinwei DengAssociate of Professor of Statistics, Virginia TechVerified email at vt.edu

Ahmed K. Farahat

Principal Research Scientist, Hitachi America, Ltd. R&D

Verified email at uwaterloo.ca - Homepage

Machine Learning Data Mining Industrial AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Long short-term memory network for remaining useful life estimation S Zheng, K Ristovski, A Farahat, C Gupta 2017 IEEE International Conference on Prognostics and Health Management …, 2017	216	2017
Efficient greedy feature selection for unsupervised learning AK Farahat, A Ghodsi, MS Kamel Knowledge and Information Systems 35 (2), 285-310, 2013	80	2013
An efficient greedy method for unsupervised feature selection AK Farahat, A Ghodsi, MS Kamel Data Mining (ICDM), 2011 IEEE 11th International Conference on, 161-170, 2011	79	2011
Supervised Dictionary Learning and Sparse Representation-A Review MJ Gangeh, AK Farahat, A Ghodsi, MS Kamel arXiv preprint arXiv:1502.05928, 2015	48	2015
Greedy column subset selection for large-scale data sets AK Farahat, A Elgohary, A Ghodsi, MS Kamel Knowledge and Information Systems, 2015	48	2015
Statistical semantics for enhancing document clustering AK Farahat, MS Kamel Knowledge and Information Systems 28 (2), 365-393, 2011	43	2011
Distributed column subset selection on MapReduce AK Farahat, A Elgohary, A Ghodsi, MS Kamel Data Mining (ICDM), 2013 IEEE 13th International Conference on, 2013	41	2013
A novel greedy algorithm for Nyström approximation AK Farahat, A Ghodsi, MS Kamel The Fourteenth International Conference on Artificial Intelligence and …, 2011	37	2011
Short-Text Clustering using Statistical Semantics S Seifzadeh, AK Farahat, MS Kamel, F Karray International World Wide Web Conference Workshops, 2015	31	2015
Detecting anomalous process behavior SM El-rafei, AK Farahat, HM Hassan, TA Mahfouz US Patent 8,719,190, 2014	27	2014
Embed and conquer: Scalable embeddings for kernel k-means on MapReduce A Elgohary, AK Farahat, MS Kamel, F Karray The SIAM International Conference on Data Mining (SDM'14), 2014	21	2014
Remaining Useful Life Estimation Using Functional Data Analysis Q Wang, S Zheng, A Farahat, S Serita, C Gupta 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019	18	2019
Equipment Health Indicator Learning using Deep Reinforcement Learning C Zhang, C Gupta, A Farahat, K Ristovski, D Ghosh Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018	17	2018
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling K Aggarwal, O Atan, AK Farahat, C Zhang, K Ristovski, C Gupta 2018 IEEE International Conference on Big Data (Big Data), 1308-1317, 2018	14	2018
Exemplar-based topic detection in twitter streams A Elbagoury, R Ibrahim, A Farahat, M Kamel, F Karray Ninth International AAAI Conference on Web and Social Media, 2015	14	2015
A Framework for Unifying Model-based and Data-driven Fault Diagnosis H Khorasgani, A Farahat, K Ristovski, C Gupta, G Biswas Proceedings of the Annual Conference of the PHM Society 10 (1), 2018	11	2018
Document clustering using semantic kernels based on term-term correlations AK Farahat, MS Kamel Data Mining Workshops, ICDMW'09. IEEE International Conference on, 459-464, 2009	11	2009
Collaborative creation with customers for predictive maintenance solutions on hitachi iot platform C Gupta, A Farahat, T Hiruta, K Ristovski, U Dayal Hitachi Review 65 (9), 403-409, 2016	10	2016
Remaining Useful Life Estimation for Systems with Abrupt Failures W Huang, H Khorasgani, C Gupta, A Farahat, S Zheng Proceedings of the Annual Conference of the PHM Society 10 (1), 2018	9	2018
Ensemble kernel mean matching YQ Miao, AK Farahat, MS Kamel 2015 IEEE International Conference on Data Mining, 330-338, 2015	9	2015

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