Omid Askarisichani

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Mahdi JaliliProfessor at RMIT University, Melbourne, AustraliaVerified email at rmit.edu.au
Francesco BulloProfessor of Mechanical Engineering, UC Santa BarbaraVerified email at ucsb.edu
Noah E. FriedkinProfessor of Sociology, University of California, Santa BarbaraVerified email at soc.ucsb.edu
Xinghuo YuFAA, HonFIEAust, FIEEE, Distinguished Professor @ RMIT UniversityVerified email at rmit.edu.au
Brian UzziProfessor, Northwestern UniversityVerified email at northwestern.edu
Jacqueline Ng LaneAssistant Professor, Harvard Business SchoolVerified email at hbs.edu
Thomas MalonePatrick J. McGovern Professor of Management, MIT Sloan School of Mgmt.Verified email at mit.edu
Victor AmelkinResearch Scientist, amazon.comVerified email at seas.upenn.edu
Young Ji KimUniversity of California Santa BarbaraVerified email at comm.ucsb.edu
Mohsen ShahriariRWTH Aachen UniversityVerified email at dbis.rwth-aachen.de
Joobin GharibshaheBay Inc.Verified email at ucr.edu
Naser NematbakhshAsst. Professor of Computer Eng. , University of shahid Ashrafi EsfahaniVerified email at eng.ui.ac.ir
Xuan-Hong DangIBM Thomas J. Watson Research Center, NY, USAVerified email at ibm.com
Amin GharipourProspa, Data AnalyticsVerified email at griffithuni.edu.au
Ali Yousefian-JaziKorea Institute of Science and TechnologyVerified email at kist.re.kr

Omid Askarisichani

Other namesOmid Askari Sichani, Omid Askari

Senior Machine Learning Engineer, Google. PhD in Computer Science from UC Santa Barbara

Verified email at cs.ucsb.edu - Homepage

Machine Learning Computational Social Science Reinforcement Learning Opinion Formation


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Inferring causal molecular networks: empirical assessment through a community-based effort et al. Hill, Steven M., Laura M. Heiser, Thomas Cokelaer, Michael Unger ... Nature Methods, http://dx.doi.org/10.1038/nmeth.3773, 2016	258*	2016
Optimal pinning controllability of complex networks: Dependence on network structure M Jalili, O Askari Sichani, X Yu Physical Review E 91 (1), 012803, 2015	57	2015
Influence Maximization of Informed Agents in Social Networks O AskariSichani, M Jalili Journal of Applied Mathematics and Computation, 2015	50	2015
Structural balance emerges and explains performance in risky decision-making. O Askarisichani, JN Lane, F Bullo, NE Friedkin, AK Singh, B Uzzi Nature communications 10 (1), 2648, 2019	38	2019
Large-scale global optimization through consensus of opinions over complex networks O Askari-Sichani, M Jalili Complex Adaptive Systems Modeling 1, 1-18, 2013	28	2013
Dynamics of collective performance in collaboration networks V Amelkin, O Askarisichani, YJ Kim, TW Malone, AK Singh PloS one 13 (10), e0204547, 2018	24	2018
Inference of hidden social power through opinion formation in complex networks OA Sichani, M Jalili IEEE Transactions on Network Science and Engineering 4 (3), 154-164, 2017	23	2017
Sign prediction in social networks based on users reputation and optimism M Shahriari, OA Sichani, J Gharibshah, M Jalili Social Network Analysis and Mining 6, 1-16, 2016	22	2016
Predictive models for human–AI nexus in group decision making O Askarisichani, F Bullo, NE Friedkin, AK Singh Annals of the New York Academy of Sciences 1514 (1), 70-81, 2022	10	2022
Learning deep graph representations via convolutional neural networks W Ye, O Askarisichani, A Jones, A Singh IEEE Transactions on Knowledge and Data Engineering 34 (5), 2268-2279, 2020	10	2020
The 1995-2018 global evolution of the network of amicable and hostile relations among nation-states O Askarisichani, AK Singh, F Bullo, NE Friedkin Communications Physics 3 (1), 215, 2020	5	2020
Expertise and confidence explain how social influence evolves along intellective tasks O Askarisichani, EY Huang, KS Sato, NE Friedkin, F Bullo, AK Singh arXiv preprint arXiv:2011.07168, 2020	4	2020
Deepmap: Learning deep representations for graph classification W Ye, O Askarisichani, A Jones, A Singh arXiv preprint arXiv:2004.02131, 2020	4	2020
A Team-based Organizational Model for Adaptive Multi-agent Systems OA Afsaneh Fatemi, Kamran Zamanifar, Naser ICAART 2011 - Proceedings of the 3rd International Conference on Agents and …, 2011	4*	2011
Learning multiclassifiers with predictive features that vary with data distribution XH Dang, O Askarisichani, AK Singh 2018 IEEE International Conference on Big Data (Big Data), 673-682, 2018	1	2018
Explainable Models of Performance on Networks O Askarisichani University of California, Santa Barbara, 2020		2020
Dynamics of Collective Performance in Collaboration Networks V. Amelkin, O. Askarisichani, Y.J. Kim, A.K. Singh, T.W. Malone Internation Network for Social Network Analysis (INSNA) Sunbelt, Newport …, 2016		2016
Clustering Based on Fuzzy Rules and Genetic Algorithms for α–Reliability Decision of Asset Classification and Portfolio Selection A Gharipour, AY Jazi, O Askarisichani The Asian economic review: journal of the Indian Institute of Economics 55 (1), 2013		2013

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