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ORCIDPaul Bogdan
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- Paul C. Bogdan
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2020 – today
- 2024
[j38]Jayson Sia
, Edmond A. Jonckheere, Laith Shalalfeh, Paul Bogdan:
Phasor Measurement Unit Change-Point Detection of Frequency Hurst Exponent Anomaly With Time-to-Event. IEEE Trans. Dependable Secur. Comput. 21(2): 819-827 (2024)- [c98]Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan:
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. ICASSP 2024: 4235-4239 - [c97]Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan:
Discovering Malicious Signatures in Software from Structural Interactions. ICASSP 2024: 4845-4849 - [c96]Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan:
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. ICLR 2024 - [i37]Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Paul Bogdan:
Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective. CoRR abs/2402.09099 (2024) - [i36]Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan:
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. CoRR abs/2404.09403 (2024) - [i35]Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan:
A structure-aware framework for learning device placements on computation graphs. CoRR abs/2405.14185 (2024) - [i34]Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin:
Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms. CoRR abs/2405.16726 (2024) - [i33]Luzhe Huang, Xiongye Xiao, Shixuan Li, Jiawen Sun, Yi Huang, Aydogan Ozcan, Paul Bogdan:
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration. CoRR abs/2407.05259 (2024) - [i32]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [j37]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
A Scalable Distributed Dynamical Systems Approach to Learn the Strongly Connected Components and Diameter of Networks. IEEE Trans. Autom. Control. 68(5): 3099-3106 (2023) - [c95]Jingyu He, Ziyang Shen, Fengshi Tian, Jinbo Chen, Jie Yang, Mohamad Sawan, Hsiang-Ting Chen, Paul Bogdan, Chi-Ying Tsui:
SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks. AICAS 2023: 1-5 - [c94]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Mitigating Epilepsy by Stabilizing Linear Fractional-Order Systems. ACC 2023: 2228-2233 - [c93]Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan:
Raising The Limit of Image Rescaling Using Auxiliary Encoding. ICASSP 2023: 1-5 - [c92]Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan:
Coupled Multiwavelet Operator Learning for Coupled Differential Equations. ICLR 2023 - [c91]Eleni Miliotou, Panagiotis Kyriakis, Jason D. Hinman, Andrei Irimia, Paul Bogdan:
Generative Decoding of Visual Stimuli. ICML 2023: 24775-24784 - [c90]Valeriu Balaban, Jayson Sia, Paul Bogdan:
Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution. ICMLA 2023: 520-527 - [i31]Junyao Zhang, Paul Bogdan, Shahin Nazarian:
C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits. CoRR abs/2301.10216 (2023) - [i30]Junyao Zhang, Paul Bogdan, Shahin Nazarian:
A Majority Logic Synthesis Framework For Single Flux Quantum Circuits. CoRR abs/2301.10695 (2023) - [i29]Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan:
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. CoRR abs/2303.02304 (2023) - [i28]Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan:
Raising The Limit Of Image Rescaling Using Auxiliary Encoding. CoRR abs/2303.06747 (2023) - [i27]Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta:
Fractional dynamics foster deep learning of COPD stage prediction. CoRR abs/2303.07537 (2023) - [i26]Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan:
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives. CoRR abs/2310.07885 (2023) - [i25]Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR abs/2312.05657 (2023) - [i24]Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan:
Discovering Malicious Signatures in Software from Structural Interactions. CoRR abs/2312.12667 (2023) - [i23]Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan:
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. CoRR abs/2312.13311 (2023) - 2022
- [j36]Emily A. Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Fractional cyber-neural systems - A brief survey. Annu. Rev. Control. 54: 386-408 (2022) - [j35]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs. Autom. 146: 110557 (2022) - [j34]Paul Bogdan, Radu Grosu, Insup Lee:
Introduction to the Special Issue on Internet-of-Medical-Things. ACM Trans. Comput. Heal. 3(3): 26e:1 (2022) - [j33]Minjeong Cha, Emine Sumeyra Turali-Emre, Xiongye Xiao, Ji-Young Kim, Paul Bogdan, J. Scott Vanepps, Angela Violi, Nicholas A. Kotov:
Unifying structural descriptors for biological and bioinspired nanoscale complexes. Nat. Comput. Sci. 2(4): 243-252 (2022) - [j32]Jingyu He, Yao Xiao, Corina Bogdan, Shahin Nazarian, Paul Bogdan:
A Design Methodology for Energy-Aware Processing in Unmanned Aerial Vehicles. ACM Trans. Design Autom. Electr. Syst. 27(1): 4:1-4:20 (2022) - [c89]Panagiotis Kyriakis, Jyotirmoy V. Deshmukh, Paul Bogdan:
Learning from Demonstrations under Stochastic Temporal Logic Constraints. ACC 2022: 2598-2603 - [c88]Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan:
Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures. CoLLAs 2022: 1086-1102 - [c87]Gaurav Gupta, Xiongye Xiao, Radu Balan, Paul Bogdan:
Non-Linear Operator Approximations for Initial Value Problems. ICLR 2022 - [c86]Panagiotis Kyriakis, Jyotirmoy Deshmukh, Paul Bogdan:
Pareto Policy Adaptation. ICLR 2022 - [c85]Valeriu Balaban, Hoda Bidkhori, Paul Bogdan:
Improving Robustness: When and How to Minimize or Maximize the Loss Variance. ICMLA 2022: 1455-1462 - [c84]Mohamed Ridha Znaidi, Gaurav Gupta, Paul Bogdan:
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System. ISIT 2022: 97-102 - [c83]Ruochen Yang, Frederic Sala, Paul Bogdan:
Efficient Representation Learning for Higher-Order Data With Simplicial Complexes. LoG 2022: 13 - [i22]Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR abs/2204.11981 (2022) - [i21]Mohamed Ridha Znaidi, Gaurav Gupta, Paul Bogdan:
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System. CoRR abs/2205.04855 (2022) - 2021
- [j31]Yao Xiao, Shahin Nazarian, Paul Bogdan:
Plasticity-on-Chip Design: Exploiting Self-Similarity for Data Communications. IEEE Trans. Computers 70(6): 950-962 (2021) - [j30]Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere:
Fractional Dynamics of PMU Data. IEEE Trans. Smart Grid 12(3): 2578-2588 (2021) - [c82]Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
A General Trust Framework for Multi-Agent Systems. AAMAS 2021: 332-340 - [c81]Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed:
Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData 2021: 1858-1866 - [c80]Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan:
Non-Markovian Reinforcement Learning using Fractional Dynamics. CDC 2021: 1542-1547 - [c79]Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan:
Learning Hyperbolic Representations of Topological Features. ICLR 2021 - [c78]Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
Trust-aware Control for Intelligent Transportation Systems. IV 2021: 377-384 - [c77]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys 2021 - [c76]Gaurav Gupta, Xiongye Xiao, Paul Bogdan:
Multiwavelet-based Operator Learning for Differential Equations. NeurIPS 2021: 24048-24062 - [i20]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. CoRR abs/2102.00816 (2021) - [i19]Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan:
Learning Hyperbolic Representations of Topological Features. CoRR abs/2103.09273 (2021) - [i18]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks. CoRR abs/2105.10229 (2021) - [i17]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs. CoRR abs/2107.13493 (2021) - [i16]Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan:
Non-Markovian Reinforcement Learning using Fractional Dynamics. CoRR abs/2107.13790 (2021) - [i15]Gaurav Gupta, Xiongye Xiao, Paul Bogdan:
Multiwavelet-based Operator Learning for Differential Equations. CoRR abs/2109.13459 (2021) - [i14]Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
Trust-aware Control for Intelligent Transportation Systems. CoRR abs/2111.04248 (2021) - [i13]Emily A. Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Fractional cyber-neural systems - a brief survey. CoRR abs/2112.08535 (2021) - 2020
- [j29]Mohamed Ridha Znaidi, Gaurav Gupta, Kamiar Asgari, Paul Bogdan:
Identifying Arguments of Space-Time Fractional Diffusion: Data-Driven Approach. Frontiers Appl. Math. Stat. 6: 14 (2020) - [j28]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks. Frontiers Artif. Intell. 3: 54 (2020) - [j27]Mingqiang Wang, Drew Vecchio, Chunyan Wang, Ahmet Emre, Xiongye Xiao, Zaixing Jiang, Paul Bogdan, Yudong Huang, Nicholas A. Kotov:
Biomorphic structural batteries for robotics. Sci. Robotics 5(45): 1912 (2020) - [j26]Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian:
H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2925-2937 (2020) - [c75]Panagiotis Kyriakis, Sérgio Pequito, Paul Bogdan:
Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory. ACC 2020: 4671-4676 - [c74]Panagiotis Kyriakis, Sérgio Pequito, Paul Bogdan:
On the Stability and Fairness of Submodular Allocations. CDC 2020: 2648-2653 - [c73]Chenzhong Yin, Gaurav Gupta, Paul Bogdan:
Discovering Laws from Observations: A Data-Driven Approach. DDDAS 2020: 302-310 - [c72]Shahin Nazarian, Paul Bogdan:
S4oC: A Self-Optimizing, Self-Adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach. ISCAS 2020: 1-8 - [c71]Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian:
An Efficient Task Mapping for Manycore Systems. ISCAS 2020: 1-4 - [c70]Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere:
PMU Visibility Graphs. ISGT 2020: 1-5 - [c69]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. WWW 2020: 2892-2898 - [i12]Shahin Nazarian, Paul Bogdan:
S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach. CoRR abs/2004.02109 (2020) - [i11]Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian:
Efficient Task Mapping for Manycore Systems. CoRR abs/2004.03462 (2020) - [i10]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR abs/2010.04414 (2020)
2010 – 2019
- 2019
- [j25]Qi Cao, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
The actuation spectrum of Spatiotemporal Networks with Power-Law Time Dependencies. Adv. Complex Syst. 22(7&8): 1950023:1-1950023:19 (2019) - [j24]Janardhan Rao Doppa, Justinian Rosca, Paul Bogdan:
Guest Editors' Introduction: Special Issue on Smart and Autonomous Systems for Sustainability. IEEE Des. Test 36(5): 5-6 (2019) - [j23]Janardhan Rao Doppa, Justinian Rosca, Paul Bogdan:
Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges. IEEE Des. Test 36(5): 35-43 (2019) - [j22]Panagiotis Kyriakis, Jyotirmoy V. Deshmukh, Paul Bogdan:
Specification Mining and Robust Design under Uncertainty: A Stochastic Temporal Logic Approach. ACM Trans. Embed. Comput. Syst. 18(5s): 96:1-96:21 (2019) - [j21]Yao Xiao, Shahin Nazarian, Paul Bogdan:
Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach. IEEE Trans. Very Large Scale Integr. Syst. 27(6): 1416-1427 (2019) - [c68]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Learning Latent Fractional dynamics with Unknown Unknowns. ACC 2019: 217-222 - [c67]Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao:
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS 2019: 21:1-21:10 - [c66]Ruochen Yang, Gaurav Gupta, Paul Bogdan:
Data-driven perception of neuron point process with unknown unknowns. ICCPS 2019: 259-269 - [e2]Paul Bogdan, Cristina Silvano:
Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2019, New York, NY, USA, October 17-18, 2019. ACM 2019, ISBN 978-1-4503-6700-4 [contents] - [i9]Jingyu He, Yao Xiao, Paul Bogdan, Corina Bogdan:
Design Methodology for Energy Efficient Unmanned Aerial Vehicles. CoRR abs/1909.11238 (2019) - [i8]Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian:
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. CoRR abs/1912.10808 (2019) - 2018
- [j20]Vasileios Tzoumas, Yuankun Xue, Sérgio Pequito, Paul Bogdan, George J. Pappas:
Selecting Sensors in Biological Fractional-Order Systems. IEEE Trans. Control. Netw. Syst. 5(2): 709-721 (2018) - [j19]Xian Li, Karthi Duraisamy, Paul Bogdan, Janardhan Rao Doppa, Partha Pratim Pande:
Scalable Network-on-Chip Architectures for Brain-Machine Interface Applications. IEEE Trans. Very Large Scale Integr. Syst. 26(10): 1895-1907 (2018) - [c65]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs. ACC 2018: 2814-2820 - [c64]Jayson Sia, Edmond A. Jonckheere, Laith Shalalfeh, Paul Bogdan:
PMU Change Point Detection of Imminent Voltage Collapse and Stealthy Attacks. CDC 2018: 6812-6817 - [c63]Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang:
Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. DATE 2018: 877-880 - [c62]Yao Xiao, Shahin Nazarian, Paul Bogdan:
Prometheus: Processing-in-memory heterogeneous architecture design from a multi-layer network theoretic strategy. DATE 2018: 1387-1392 - [c61]Jyotirmoy V. Deshmukh, Panagiotis Kyriakis, Paul Bogdan:
Stochastic Temporal Logic Abstractions: Challenges and Opportunities. FORMATS 2018: 3-16 - [c60]Fanchao Wang, Hanbin Zhu, Pranjay Popli, Yao Xiao, Paul Bogdan, Shahin Nazarian:
Accelerating Coverage Directed Test Generation for Functional Verification: A Neural Network-based Framework. ACM Great Lakes Symposium on VLSI 2018: 207-212 - [c59]Gaurav Gupta, Sérgio Daniel Pequito, Paul Bogdan:
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis. ICCPS 2018: 275-286 - [c58]Paul Bogdan, Massoud Pedram:
Toward Enabling Automated Cognition and Decision-Making in Complex Cyber-Physical Systems. ISCAS 2018: 1-4 - [e1]Zhonghai Lu, Sriram R. Vangal, Jiang Xu, Paul Bogdan:
Twelfth IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2018, Torino, Italy, October 4-5, 2018. IEEE 2018, ISBN 978-1-5386-4893-3 [contents] - [i7]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs. CoRR abs/1803.04866 (2018) - [i6]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis. CoRR abs/1803.10318 (2018) - [i5]Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang:
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators. CoRR abs/1804.01574 (2018) - [i4]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Approximate Submodular Functions and Performance Guarantees. CoRR abs/1806.06323 (2018) - [i3]Ruochen Yang, Gaurav Gupta, Paul Bogdan:
Data-driven Perception of Neuron Point Process with Unknown Unknowns. CoRR abs/1811.00688 (2018) - [i2]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Learning Latent Fractional dynamics with Unknown Unknowns. CoRR abs/1811.00703 (2018) - 2017
- [j18]Xian Li, Karthi Duraisamy, Joe Baylon, Turbo Majumder, Guopeng Wei, Paul Bogdan, Deukhyoun Heo, Partha Pratim Pande:
A Reconfigurable Wireless NoC for Large Scale Microbiome Community Analysis. IEEE Trans. Computers 66(10): 1653-1666 (2017) - [j17]Yuankun Xue, Ji Li, Shahin Nazarian, Paul Bogdan:
Fundamental Challenges Toward Making the IoT a Reachable Reality: A Model-Centric Investigation. ACM Trans. Design Autom. Electr. Syst. 22(3): 53:1-53:25 (2017) - [j16]Karthi Duraisamy, Yuankun Xue, Paul Bogdan, Partha Pratim Pande:
Multicast-Aware High-Performance Wireless Network-on-Chip Architectures. IEEE Trans. Very Large Scale Integr. Syst. 25(3): 1126-1139 (2017) - [c57]Yao Xiao, Yuankun Xue, Shahin Nazarian, Paul Bogdan:
A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach. ICCAD 2017: 217-224 - [c56]Gaurav Gupta, Paul Bogdan:
Distributed placement of power generation resources in uncertain environments. ICCPS 2017: 71-79 - [c55]Yuankun Xue, Paul Bogdan:
Constructing compact causal mathematical models for complex dynamics. ICCPS 2017: 97-107 - 2016
- [j15]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(3): 471-484 (2016) - [j14]Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu:
Performance Evaluation of NoC-Based Multicore Systems: From Traffic Analysis to NoC Latency Modeling. ACM Trans. Design Autom. Electr. Syst. 21(3): 52:1-52:38 (2016) - [j13]Xian Li, Karthi Duraisamy, Paul Bogdan, Turbo Majumder, Partha Pratim Pande:
Network-on-Chip-Enabled Multicore Platforms for Parallel Model Predictive Control. IEEE Trans. Very Large Scale Integr. Syst. 24(9): 2837-2850 (2016) - [c54]Yuankun Xue, Sérgio Pequito, Joana R. Coelho, Paul Bogdan, George J. Pappas:
Minimum number of sensors to ensure observability of physiological systems: A case study. Allerton 2016: 1181-1188 - [c53]Paul Bogdan, Partha Pratim Pande, Hussam Amrouch, Muhammad Shafique, Jörg Henkel:
Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. CASES 2016: 4:1-4:2 - [c52]Yuankun Xue, Paul Bogdan:
Scalable and realistic benchmark synthesis for efficient NoC performance evaluation: a complex network analysis approach. CODES+ISSS 2016: 2:1-2:10 - [c51]Paul Bogdan, Miroslav Pajic, Partha Pratim Pande, Vijay Raghunathan:
Making the internet-of-things a reality: from smart models, sensing and actuation to energy-efficient architectures. CODES+ISSS 2016: 25:1-25:10 - [c50]Yuankun Xue, Saul Rodriguez, Paul Bogdan:
A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces. DATE 2016: 642-647 - [c49]Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram:
Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. ICCD 2016: 241-248 - [c48]Yuankun Xue, Paul Bogdan:
Improving NoC performance under spatio-temporal variability by runtime reconfiguration: a general mathematical framework. NOCS 2016: 1-8 - [c47]Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere:
Kendall's tau of frequency Hurst exponent as blackout proximity Margin. SmartGridComm 2016: 466-471 - [c46]Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan:
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. SoCC 2016: 317-322 - 2015
- [j12]Paul Bogdan, Rahul Mangharam:
Guest Editors' Introduction: Cyber-Physical Systems for Medical Applications. IEEE Des. Test 32(5): 6-8 (2015) - [c45]Sérgio Daniel Pequito, Paul Bogdan, George J. Pappas:
Minimum number of probes for brain dynamics observability. CDC 2015: 306-311 - [c44]Paul Bogdan:
Workload Modeling and its Implications on Data-Center-on-a-Chip Optimization: From Mathematical Models to Control Algorithms. CSCS 2015: 1001 - [c43]Paul Bogdan:
A cyber-physical systems approach to personalized medicine: challenges and opportunities for noc-based multicore platforms. DATE 2015: 253-258 - [c42]Turbo Majumder, Xian Li, Paul Bogdan, Partha Pratim Pande:
NoC-enabled multicore architectures for stochastic analysis of biomolecular reactions. DATE 2015: 1102-1107 - [c41]Alireza Shafaei Bejestan, Yanzhi Wang, Srikanth Ramadurgam, Yuankun Xue, Paul Bogdan, Massoud Pedram:
Analyzing the Dark Silicon Phenomenon in a Many-Core Chip Multi-Processor under Deeply-Scaled Process Technologies. ACM Great Lakes Symposium on VLSI 2015: 127-132 - [c40]Paul Bogdan, Siddharth Garg, Ümit Y. Ogras:
Energy-efficient computing from systems-on-chip to micro-server and data centers. IGSC 2015: 1-6 - [c39]Navid Azizan Ruhi, Paul Bogdan:
Multiscale modeling of biological communication. ICC 2015: 1140-1145 - [c38]Paul Bogdan, Yuankun Xue:
Mathematical Models and Control Algorithms for Dynamic Optimization of Multicore Platforms: A Complex Dynamics Approach. ICCAD 2015: 170-175 - [c37]Xue Lin, Paul Bogdan, Naehyuck Chang, Massoud Pedram:
Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost. ICCAD 2015: 627-634 - [c36]Urbashi Mitra, Nicolò Michelusi, Sahand Pirbadian, H. Koorehdavoudi, Mohamed Y. El-Naggar, Paul Bogdan:
Queueing theory as a modeling tool for bacterial interaction: Implications for microbial fuel cells. ICNC 2015: 658-662 - [c35]Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram:
Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model. Intelligent Vehicles Symposium 2015: 718-723 - [c34]Paul Bogdan, Yuankun Xue:
Cyber-physical systems for personalized and precise medicine. MWSCAS 2015: 1-4 - [c33]Yuankun Xue, Paul Bogdan:
User Cooperation Network Coding Approach for NoC Performance Improvement. NOCS 2015: 17:1-17:8 - [c32]Paul Bogdan:
Mathematical Modeling and Control of Multifractal Workloads for Data-Center-on-a-Chip Optimization. NOCS 2015: 21:1-21:8 - [c31]Paul Bogdan, Turbo Majumder, Arvind Ramanathan, Yuankun Xue:
NoC Architectures as Enablers of Biological Discovery for Personalized and Precision Medicine. NOCS 2015: 27:1-27:11 - 2014
- [j11]Simon J. Hollis, Chris Jackson, Paul Bogdan, Radu Marculescu:
Exploiting Emergence in On-Chip Interconnects. IEEE Trans. Computers 63(3): 570-582 (2014) - [c30]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
A comprehensive and accurate latency model for Network-on-Chip performance analysis. ASP-DAC 2014: 323-328 - [c29]Shuang Chen, Mahboobeh Ghorbani, Yanzhi Wang, Paul Bogdan, Massoud Pedram:
Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique. BigData Congress 2014: 733-739 - [c28]Mahboobeh Ghorbani, Yanzhi Wang, Yuankun Xue, Massoud Pedram, Paul Bogdan:
Prediction and control of bursty cloud workloads: A fractal framework. CODES+ISSS 2014: 12:1-12:9 - [c27]Yuankun Xue, Zhiliang Qian, Paul Bogdan, Fan Ye, Chi-Ying Tsui:
Disease Diagnosis-on-a-Chip: Large Scale Networks-on-Chip based Multicore Platform for Protein Folding Analysis. DAC 2014: 104:1-104:6 - [c26]Hiroki Matsutani, Michihiro Koibuchi, Ikki Fujiwara, Takahiro Kagami, Yasuhiro Take, Tadahiro Kuroda, Paul Bogdan, Radu Marculescu, Hideharu Amano:
Low-latency wireless 3D NoCs via randomized shortcut chips. DATE 2014: 1-6 - [c25]Mahboobeh Ghorbani, Paul Bogdan:
Reducing risk of closed loop control of blood glucose in artificial pancreas using fractional calculus. EMBC 2014: 4839-4842 - [c24]Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram:
Reinforcement learning based power management for hybrid electric vehicles. ICCAD 2014: 32-38 - [c23]Mahboobeh Ghorbani, Paul Bogdan:
Challenges and Opportunities in Design of Control Algorithm for Artificial Pancreas. MCPS 2014: 49-57 - [c22]Yuankun Xue, Zhiliang Qian, Guopeng Wei, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu:
An efficient Network-on-Chip (NoC) based multicore platform for hierarchical parallel genetic algorithms. NOCS 2014: 17-24 - 2013
- [j10]Guopeng Wei, Paul Bogdan, Radu Marculescu:
Efficient Modeling and Simulation of Bacteria-Based Nanonetworks with BNSim. IEEE J. Sel. Areas Commun. 31(12-Supplement): 868-878 (2013) - [j9]Guopeng Wei, Paul Bogdan, Radu Marculescu:
Bumpy Rides: Modeling the Dynamics of Chemotactic Interacting Bacteria. IEEE J. Sel. Areas Commun. 31(12-Supplement): 879-890 (2013) - [j8]Paul Bogdan, Siddharth Jain, Radu Marculescu:
Pacemaker control of heart rate variability: A cyber physical system perspective. ACM Trans. Embed. Comput. Syst. 12(1s): 50:1-50:22 (2013) - [j7]Paul Bogdan, Radu Marculescu, Siddharth Jain:
Dynamic power management for multidomain system-on-chip platforms: An optimal control approach. ACM Trans. Design Autom. Electr. Syst. 18(4): 46:1-46:20 (2013) - [c21]Hiroki Matsutani, Paul Bogdan, Radu Marculescu, Yasuhiro Take, Daisuke Sasaki, Hao Zhang, Michihiro Koibuchi, Tadahiro Kuroda, Hideharu Amano:
A case for wireless 3D NoCs for CMPs. ASP-DAC 2013: 23-28 - [c20]Mahboobeh Ghorbani, Paul Bogdan:
A cyber-physical system approach to artificial pancreas design. CODES+ISSS 2013: 17:1-17:10 - [c19]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model. DATE 2013: 354-357 - [c18]Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu:
Performance evaluation of multicore systems: from traffic analysis to latency predictions (embedded tutorial). ICCAD 2013: 82-84 - [c17]Paul Bogdan, Thomas Sauerwald, Alexandre Stauffer, He Sun:
Balls into Bins via Local Search. SODA 2013: 16-34 - 2012
- [c16]Zhiliang Qian, Paul Bogdan, Guopeng Wei, Chi-Ying Tsui, Radu Marculescu:
A traffic-aware adaptive routing algorithm on a highly reconfigurable network-on-chip architecture. CODES+ISSS 2012: 161-170 - [c15]Paul Bogdan, Guopeng Wei, Radu Marculescu:
Modeling populations of micro-robots for biological applications. ICC 2012: 6188-6192 - [c14]Paul Bogdan, Siddharth Jain, Kartikeya Goyal, Radu Marculescu:
Implantable Pacemakers Control and Optimization via Fractional Calculus Approaches: A Cyber-Physical Systems Perspective. ICCPS 2012: 23-32 - [c13]Paul Bogdan, Radu Marculescu, Siddharth Jain, Rafael Tornero Gavilá:
An Optimal Control Approach to Power Management for Multi-Voltage and Frequency Islands Multiprocessor Platforms under Highly Variable Workloads. NOCS 2012: 35-42 - [c12]Radu David, Paul Bogdan, Radu Marculescu:
Dynamic power management for multicores: Case study using the intel SCC. VLSI-SoC 2012: 147-152 - [i1]Paul Bogdan, Thomas Sauerwald, Alexandre Stauffer, He Sun:
Balls into Bins via Local Search. CoRR abs/1207.2125 (2012) - 2011
- [b1]Paul Bogdan:
Theoretical Foundations of Multicore Systems Design: A Dynamical Systems Perspective. Carnegie Mellon University, USA, 2011 - [j6]Radu Marculescu, Paul Bogdan:
Cyberphysical Systems: Workload Modeling and Design Optimization. IEEE Des. Test Comput. 28(4): 78-87 (2011) - [j5]Paul Bogdan, Radu Marculescu:
Non-Stationary Traffic Analysis and Its Implications on Multicore Platform Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(4): 508-519 (2011) - [j4]Paul Bogdan, Radu Marculescu:
Hitting Time Analysis for Fault-Tolerant Communication at Nanoscale in Future Multiprocessor Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(8): 1197-1210 (2011) - [c11]Paul Bogdan, Radu Marculescu:
A fractional calculus approach to modeling fractal dynamic games. CDC/ECC 2011: 255-260 - [c10]Partha Pratim Pande, Fabien Clermidy, Diego Puschini, Imen Mansouri, Paul Bogdan, Radu Marculescu, Amlan Ganguly:
Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms? DATE 2011: 1656-1661 - [c9]Paul Bogdan, Radu Marculescu:
Towards a Science of Cyber-Physical Systems Design. ICCPS 2011: 99-108 - [c8]Radu David, Paul Bogdan, Radu Marculescu, Ümit Y. Ogras:
Dynamic power management of voltage-frequency island partitioned Networks-on-Chip using Intel's Single-chip Cloud Computer. NOCS 2011: 257-258 - [c7]Guopeng Wei, Paul Bogdan, Radu Marculescu:
A software framework for trace analysis targeting multicore platforms design. NOCS 2011: 259-260 - 2010
- [j3]Ümit Y. Ogras, Paul Bogdan, Radu Marculescu:
An Analytical Approach for Network-on-Chip Performance Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(12): 2001-2013 (2010) - [c6]Paul Bogdan, Radu Marculescu:
Workload characterization and its impact on multicore platform design. CODES+ISSS 2010: 231-240 - [c5]Paul Bogdan, Miray Kas, Radu Marculescu, Onur Mutlu:
QuaLe: A Quantum-Leap Inspired Model for Non-stationary Analysis of NoC Traffic in Chip Multi-processors. NOCS 2010: 241-248
2000 – 2009
- 2009
- [j2]Radu Marculescu, Paul Bogdan:
The Chip Is the Network: Toward a Science of Network-on-Chip Design. Found. Trends Electron. Des. Autom. 2(4): 371-461 (2009) - [c4]Paul Bogdan, Radu Marculescu:
Statistical physics approaches for network-on-chip traffic characterization. CODES+ISSS 2009: 461-470 - 2008
- [c3]Paul Bogdan, Radu Marculescu:
Hitting Time Analysis for Stochastic Communication. NanoNet 2008: 39-43 - 2007
- [j1]Paul Bogdan, Tudor Dumitras, Radu Marculescu:
Stochastic Communication: A New Paradigm for Fault-Tolerant Networks-on-Chip. VLSI Design 2007: 95348:1-95348:17 (2007) - [c2]Paul Bogdan, Radu Marculescu:
Quantum-Like Effects in Network-on-Chip Buffers Behavior. DAC 2007: 266-267 - 2006
- [c1]Paul Bogdan, Radu Marculescu:
A Theoretical Framework for On-chip Stochastic Communication Analysis. Nano-Net 2006: 1-5
Coauthor Index
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