Paul Bogdan

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Coauteurs

Radu MarculescuThe University of Texas at AustinAdresse e-mail validée de utexas.edu
Shahin NazarianUniversity of Southern California, Professor of Electrical and Computer Engineering PracticeAdresse e-mail validée de usc.edu
Xiongye XiaoPhD Candidate, University of Southern CaliforniaAdresse e-mail validée de usc.edu
Yuankun XueUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu
Mingxi ChengUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu
Gaurav GuptaSenior Scientist, AWS-AIAdresse e-mail validée de usc.edu
Sérgio PequitoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaAdresse e-mail validée de tecnico.ulisboa.pt
Yao XiaoUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu
Chenzhong YinPhD at University of Southern CaliforniaAdresse e-mail validée de usc.edu
Edmond JonckheereProfessor of Electrical and Computer Engineering, University of Southern CaliforniaAdresse e-mail validée de usc.edu
Guopeng WeiGezhi GenomicsAdresse e-mail validée de gezhigene.com
Chi Ying TsuiHong Kong University of Science and TechnologyAdresse e-mail validée de ece.ust.hk
Massoud PedramCharles Lee Powell Professor of Electrical Engineering & Computer Science, Univ of SouthernAdresse e-mail validée de usc.edu
Siddharth JainResearcherAdresse e-mail validée de caltech.edu
Jayson SiaPhD candidate in EE, University of Southern CaliforniaAdresse e-mail validée de usc.edu
Nicholas A. KotovUniversity of MichiganAdresse e-mail validée de umich.edu
Yanzhi WangNortheastern UniversityAdresse e-mail validée de northeastern.edu
Partha PandeWashington State UniversityAdresse e-mail validée de wsu.edu
Ruochen YangPhD @ University of Southern CaliforniaAdresse e-mail validée de usc.edu
Panagiotis KyriakisUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu

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Paul Bogdan

Associate Professor, University of Southern California

Adresse e-mail validée de usc.edu - Page d'accueil

Network Physiology Cyber-Physical Systems Brain & data science Computational Science Networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study Z Yang, P Bogdan, S Nazarian Scientific reports 11 (1), 3238, 2021	239	2021
Multiwavelet-based operator learning for differential equations G Gupta, X Xiao, P Bogdan Advances in neural information processing systems 34, 24048-24062, 2021	204	2021
An analytical approach for network-on-chip performance analysis UY Ogras, P Bogdan, R Marculescu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2010	164	2010
Ollivier-ricci curvature-based method to community detection in complex networks J Sia, E Jonckheere, P Bogdan Scientific reports 9 (1), 9800, 2019	130	2019
The chip is the network: Toward a science of network-on-chip design R Marculescu, P Bogdan Foundations and Trends® in Electronic Design Automation 2 (4), 371-461, 2009	127	2009
Stochastic Communication: A New Paradigm for Fault‐Tolerant Networks‐on‐Chip P Bogdan, T Dumitraş, R Marculescu VLSI design 2007 (1), 095348, 2007	119	2007
Biomorphic structural batteries for robotics M Wang, D Vecchio, C Wang, A Emre, X Xiao, Z Jiang, P Bogdan, ... Science robotics 5 (45), eaba1912, 2020	102	2020
Non-stationary traffic analysis and its implications on multicore platform design P Bogdan, R Marculescu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2011	101	2011
Reinforcement learning based power management for hybrid electric vehicles X Lin, Y Wang, P Bogdan, N Chang, M Pedram 2014 IEEE/ACM international conference on computer-aided design (ICCAD), 33-38, 2014	100	2014
Vroc: Variational autoencoder-aided multi-task rumor classifier based on text M Cheng, S Nazarian, P Bogdan Proceedings of the web conference 2020, 2892-2898, 2020	95	2020
Self-optimizing and self-programming computing systems: A combined compiler, complex networks, and machine learning approach Y Xiao, S Nazarian, P Bogdan IEEE transactions on very large scale integration (VLSI) systems 27 (6 …, 2019	94	2019
Reliable multi-fractal characterization of weighted complex networks: algorithms and implications Y Xue, P Bogdan Scientific reports 7 (1), 7487, 2017	89	2017
A COVID-19 rumor dataset M Cheng, S Wang, X Yan, T Yang, W Wang, Z Huang, X Xiao, S Nazarian, ... Frontiers in Psychology 12, 644801, 2021	87	2021
Efficient modeling and simulation of bacteria-based nanonetworks with BNSim G Wei, P Bogdan, R Marculescu IEEE Journal on Selected Areas in Communications 31 (12), 868-878, 2013	85	2013
An optimal control approach to power management for multi-voltage and frequency islands multiprocessor platforms under highly variable workloads P Bogdan, R Marculescu, S Jain, RT Gavila 2012 IEEE/ACM Sixth international symposium on networks-on-chip, 35-42, 2012	78	2012
Svr-noc: A performance analysis tool for network-on-chips using learning-based support vector regression model Z Qian, DC Juan, P Bogdan, CY Tsui, D Marculescu, R Marculescu 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 354-357, 2013	73	2013
Machine learning-based energy management in a hybrid electric vehicle to minimize total operating cost X Lin, P Bogdan, N Chang, M Pedram 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 627-634, 2015	69	2015
Towards a science of cyber-physical systems design P Bogdan, R Marculescu 2011 IEEE/ACM Second international conference on cyber-physical systems, 99-108, 2011	69	2011
Multicast-aware high-performance wireless network-on-chip architectures K Duraisamy, Y Xue, P Bogdan, PP Pande IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (3 …, 2016	66	2016
A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces Y Xue, S Rodriguez, P Bogdan 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 642-647, 2016	66	2016

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