Paul Bogdan

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Radu MarculescuThe University of Texas at AustinPatvirtintas el. paštas utexas.edu
Shahin NazarianUniversity of Southern California, Professor of Electrical and Computer Engineering PracticePatvirtintas el. paštas usc.edu
Xiongye XiaoPhD Candidate, University of Southern CaliforniaPatvirtintas el. paštas usc.edu
Yuankun XueUniversity of Southern CaliforniaPatvirtintas el. paštas usc.edu
Mingxi ChengUniversity of Southern CaliforniaPatvirtintas el. paštas usc.edu
Gaurav GuptaSenior Scientist, AWS-AIPatvirtintas el. paštas usc.edu
Sérgio PequitoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaPatvirtintas el. paštas tecnico.ulisboa.pt
Yao XiaoUniversity of Southern CaliforniaPatvirtintas el. paštas usc.edu
Chenzhong YinPhD at University of Southern CaliforniaPatvirtintas el. paštas usc.edu
Edmond JonckheereProfessor of Electrical and Computer Engineering, University of Southern CaliforniaPatvirtintas el. paštas usc.edu
Guopeng WeiGezhi GenomicsPatvirtintas el. paštas gezhigene.com
Chi Ying TsuiHong Kong University of Science and TechnologyPatvirtintas el. paštas ece.ust.hk
Massoud PedramCharles Lee Powell Professor of Electrical Engineering & Computer Science, Univ of SouthernPatvirtintas el. paštas usc.edu
Siddharth JainResearcherPatvirtintas el. paštas caltech.edu
Jayson SiaPhD candidate in EE, University of Southern CaliforniaPatvirtintas el. paštas usc.edu
Yanzhi WangNortheastern UniversityPatvirtintas el. paštas northeastern.edu
Nicholas A. KotovUniversity of MichiganPatvirtintas el. paštas umich.edu
Partha PandeWashington State UniversityPatvirtintas el. paštas wsu.edu
Panagiotis KyriakisUniversity of Southern CaliforniaPatvirtintas el. paštas usc.edu
Ruochen YangPhD @ University of Southern CaliforniaPatvirtintas el. paštas usc.edu

Stebėti

Paul Bogdan

Associate Professor, University of Southern California

Patvirtintas el. paštas usc.edu - Pagrindinis puslapis

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


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	240	2021
Multiwavelet-based operator learning for differential equations G Gupta, X Xiao, P Bogdan Advances in neural information processing systems 34, 24048-24062, 2021	211	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	165	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	116	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	96	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
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	90	2021
Reliable multi-fractal characterization of weighted complex networks: algorithms and implications Y Xue, P Bogdan Scientific reports 7 (1), 7487, 2017	87	2017
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	87	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	72	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	70	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
Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment C Yin, P Imms, M Cheng, A Amgalan, NF Chowdhury, RJ Massett, ... Proceedings of the National Academy of Sciences 120 (2), e2214634120, 2023	68	2023
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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