Paul Bogdan

214 papers A* 15A 14B 2C 14Misc 16Journal 100Unranked 50
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analyzing Neural Network Information Flow Using Differential Geometry.
CoRR
Shuhang Tan, Jayson Sia, Paul Bogdan, Radoslav Ivanov
2026 J jnl
Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge.
CoRR
Wei Yang, Shixuan Li, Heng Ping, Peiyu Zhang, Paul Bogdan, Jesse Thomason
2026 J jnl
EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts.
CoRR
Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Shahin Nazarian, Paul M. Thompson, Paul Bogdan
2026 J jnl
Fractional Risk Analysis of Stochastic Systems with Jumps and Memory.
CoRR
Yimeng Sun, Zhuoyuan Wang, Xiaole Zhang, Heng Ping, Jintang Xue, Paul Bogdan, Yorie Nakahira
2026 J jnl
OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization.
CoRR
Arijit Bhattacharjee, Heng Ping, Son Vu Le, Paul Bogdan, Nesreen K. Ahmed, Ali Jannesari
2026 J jnl
POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization.
CoRR
Heng Ping, Peiyu Zhang, Zhenkun Wang, Shixuan Li, Anzhe Cheng, Wei Yang, Paul Bogdan, Shahin Nazarian
2026 J jnl
Shifts in brain dynamics and drivers of consciousness state transitions.
Frontiers Comput. Neurosci.
Joseph Bodenheimer, Paul Bogdan, Sérgio Pequito, Arian Ashourvan
2026 J jnl
Structural Complexity of Brain MRI reveals age-associated patterns.
CoRR
Anzhe Cheng, Italo Ivo Lima Dias Pinto, Paul Bogdan
2026 J jnl
Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents.
CoRR
Changdae Oh, Seongheon Park, To Eun Kim, Jiatong Li, Wendi Li, Samuel Yeh, Xuefeng Du, Hamed Hassani, Paul Bogdan, Dawn Song, Sharon Li
2025 C conf
A Sampling Complexity-aware Framework for Discrete-time Fractional-Order Dynamical System Identification.
ACC
Xiaole Zhang, Vijay Gupta, Paul Bogdan
2025 J jnl
A Sampling Complexity-aware Framework for Discrete-time Fractional-Order Dynamical System Identification.
CoRR
Xiaole Zhang, Vijay Gupta, Paul Bogdan
2025 J jnl
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models.
CoRR
Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, Yue Zhao, Paul Bogdan
2025 Misc conf
Controllable Generative Model for Brain Evolution.
ICASSP
Gengshuo Liu, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, Andrei Irimia
2025 — conf
Discrete Ricci Flow for Detecting Gaps in Adiabatic Quantum Processes.
CDC
Athanasios A. Rompokos, Paul Bogdan, Edmond A. Jonckheere
2025 J jnl
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization.
CoRR
Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Heng Ping, Tamoghna Chattopadhyay, Sophia I. Thomopoulos, Shahin Nazarian, Paul M. Thompson, Paul Bogdan
2025 A* conf
Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms.
ICDM
Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin
2025 J jnl
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis.
CoRR
Anzhe Cheng, Chenzhong Yin, Mingxi Cheng, Shukai Duan, Shahin Nazarian, Paul Bogdan
2025 A* conf
End-to-End Learning Framework for Solving Non-Markovian Optimal Control.
ICML
Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan
2025 J jnl
End-to-End Learning Framework for Solving Non-Markovian Optimal Control.
CoRR
Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan
2025 Misc conf
Exploiting Application-to-Architecture Dependencies for Designing Scalable OS.
ICASSP
Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025 J jnl
Exploiting Application-to-Architecture Dependencies for Designing Scalable OS.
CoRR
Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025 J jnl
H
CoRR
Trung-Kien Nguyen, Heng Ping, Shixuan Li, Peiyu Zhang, Nikos Kanakaris, Nicholas A. Kotov, Paul Bogdan
2025 J jnl
HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.
CoRR
Heng Ping, Shixuan Li, Peiyu Zhang, Anzhe Cheng, Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Wei Yang, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025 Misc ed.
International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2025, Taipei, Taiwan, September 28 - Oct. 3, 2025
CODES+ISSS
Prabhat Mishra, Paul Bogdan
2025 — conf
IoT-Enabled Smartwatches for Secure Examinations and Healthcare Assessments.
CASE
Zhenkun Wang, Ioana Corina Bogdan, Chonghao Liu, Shahin Nazarian, Paul Bogdan
2025 J jnl
Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs.
CoRR
Wei Yang, Jiacheng Pang, Shixuan Li, Paul Bogdan, Stephen Tu, Jesse Thomason
2025 J jnl
MaskAttn-SDXL: Controllable Region-Level Text-To-Image Generation.
CoRR
Yu Chang, Jiahao Chen, Anzhe Cheng, Paul Bogdan
2025 J jnl
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation.
CoRR
Anzhe Cheng, Chenzhong Yin, Yu Chang, Heng Ping, Shixuan Li, Shahin Nazarian, Paul Bogdan
2025 — conf
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.
WWW (Companion Volume)
Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan
2025 J jnl
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.
CoRR
Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan
2025 A* conf
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models.
ICLR
Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan
2025 J jnl
VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation.
CoRR
Heng Ping, Arijit Bhattacharjee, Peiyu Zhang, Shixuan Li, Wei Yang, Anzhe Cheng, Xiaole Zhang, Jesse Thomason, Ali Jannesari, Nesreen Ahmed, Paul Bogdan
2024 A* conf
A Structure-Aware Framework for Learning Device Placements on Computation Graphs.
NeurIPS
Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
2024 J jnl
A structure-aware framework for learning device placements on computation graphs.
CoRR
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
2024 — conf
Analyzing Neural Network Robustness Using Graph Curvature.
ICAA
Shuhang Tan, Jayson Sia, Paul Bogdan, Radoslav Ivanov
2024 J jnl
Analyzing Neural Network Robustness Using Graph Curvature.
CoRR
Shuhang Tan, Jayson Sia, Paul Bogdan, Radoslav Ivanov
2024 J jnl
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury.
Neuroinformatics
Kevin H. Guo, Nikhil N. Chaudhari, Tamara Jafar, Nahian F. Chowdhury, Paul Bogdan, Andrei Irimia
2024 Misc conf
Discovering Malicious Signatures in Software from Structural Interactions.
ICASSP
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
2024 J jnl
Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms.
CoRR
Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin
2024 J jnl
Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective.
CoRR
Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Paul Bogdan
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
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 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
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
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
2024 J jnl
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration.
CoRR
Luzhe Huang, Xiongye Xiao, Shixuan Li, Jiawen Sun, Yi Huang, Aydogan Ozcan, Paul Bogdan
2024 J jnl
Multi-scale Generative Modeling for Fast Sampling.
CoRR
Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J. Kochenderfer, Paul Bogdan
2024 A* conf
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
ICLR
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024 J jnl
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
CoRR
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024 J jnl
Phasor Measurement Unit Change-Point Detection of Frequency Hurst Exponent Anomaly With Time-to-Event.
IEEE Trans. Dependable Secur. Comput.
Jayson Sia, Edmond A. Jonckheere, Laith Shalalfeh, Paul Bogdan
2024 Misc conf
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.
ICASSP
Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan
2023 J jnl
A Majority Logic Synthesis Framework For Single Flux Quantum Circuits.
CoRR
Junyao Zhang, Paul Bogdan, Shahin Nazarian
2023 J jnl
A Scalable Distributed Dynamical Systems Approach to Learn the Strongly Connected Components and Diameter of Networks.
IEEE Trans. Autom. Control.
Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito
2023 J jnl
C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits.
CoRR
Junyao Zhang, Paul Bogdan, Shahin Nazarian
2023 J jnl
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.
CoRR
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023 A* conf
Coupled Multiwavelet Operator Learning for Coupled Differential Equations.
ICLR
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023 J jnl
Discovering Malicious Signatures in Software from Structural Interactions.
CoRR
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
2023 J jnl
Fractional dynamics foster deep learning of COPD stage prediction.
CoRR
Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta
2023 A* conf
Generative Decoding of Visual Stimuli.
ICML
Eleni Miliotou, Panagiotis Kyriakis, Jason D. Hinman, Andrei Irimia, Paul Bogdan
2023 J jnl
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives.
CoRR
Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2023 J jnl
Leveraging Reinforcement Learning and Large Language Models for Code Optimization.
CoRR
Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
2023 C conf
Mitigating Epilepsy by Stabilizing Linear Fractional-Order Systems.
ACC
Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito
2023 J jnl
Raising The Limit Of Image Rescaling Using Auxiliary Encoding.
CoRR
Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan
2023 Misc conf
Raising The Limit of Image Rescaling Using Auxiliary Encoding.
ICASSP
Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan
2023 C conf
Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution.
ICMLA
Valeriu Balaban, Jayson Sia, Paul Bogdan
2023 — conf
SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks.
AICAS
Jingyu He, Ziyang Shen, Fengshi Tian, Jinbo Chen, Jie Yang, Mohamad Sawan, Hsiang-Ting Chen, Paul Bogdan, Chi-Ying Tsui
2023 J jnl
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.
CoRR
Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan
2022 J jnl
A Design Methodology for Energy-Aware Processing in Unmanned Aerial Vehicles.
ACM Trans. Design Autom. Electr. Syst.
Jingyu He, Yao Xiao, Corina Bogdan, Shahin Nazarian, Paul Bogdan
2022 — conf
Efficient Representation Learning for Higher-Order Data With Simplicial Complexes.
LoG
Ruochen Yang, Frederic Sala, Paul Bogdan
2022 J jnl
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning.
CoRR
Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
2022 J jnl
Fractional cyber-neural systems - A brief survey.
Annu. Rev. Control.
Emily A. Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito
2022 C conf
Improving Robustness: When and How to Minimize or Maximize the Loss Variance.
ICMLA
Valeriu Balaban, Hoda Bidkhori, Paul Bogdan
2022 J jnl
Introduction to the Special Issue on Internet-of-Medical-Things.
ACM Trans. Comput. Heal.
Paul Bogdan, Radu Grosu, Insup Lee
2022 C conf
Learning from Demonstrations under Stochastic Temporal Logic Constraints.
ACC
Panagiotis Kyriakis, Jyotirmoy V. Deshmukh, Paul Bogdan
2022 J jnl
Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs.
Autom.
Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito
2022 A* conf
Non-Linear Operator Approximations for Initial Value Problems.
ICLR
Gaurav Gupta, Xiongye Xiao, Radu Balan, Paul Bogdan
2022 A* conf
Pareto Policy Adaptation.
ICLR
Panagiotis Kyriakis, Jyotirmoy Deshmukh, Paul Bogdan
2022 B conf
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System.
ISIT
Mohamed Ridha Znaidi, Gaurav Gupta, Paul Bogdan
2022 J jnl
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System.
CoRR
Mohamed Ridha Znaidi, Gaurav Gupta, Paul Bogdan
2022 — conf
Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures.
CoLLAs
Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan
2022 J jnl
Unifying structural descriptors for biological and bioinspired nanoscale complexes.
Nat. Comput. Sci.
Minjeong Cha, Emine Sumeyra Turali-Emre, Xiongye Xiao, Ji-Young Kim, Paul Bogdan, J. Scott Vanepps, Angela Violi, Nicholas A. Kotov
2021 — conf
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems.
MLSys
Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
2021 A conf
A General Trust Framework for Multi-Agent Systems.
AAMAS
Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
2021 J jnl
A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks.
CoRR
Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito
2021 J jnl
Fractional Dynamics of PMU Data.
IEEE Trans. Smart Grid
Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere
2021 J jnl
Fractional cyber-neural systems - a brief survey.
CoRR
Emily A. Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito
2021 — conf
Learning Code Representations Using Multifractal-based Graph Networks.
IEEE BigData
Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed
2021 A* conf
Learning Hyperbolic Representations of Topological Features.
ICLR
Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan
2021 J jnl
Learning Hyperbolic Representations of Topological Features.
CoRR
Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan
2021 J jnl
Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs.
CoRR
Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito
2021 A* conf
Multiwavelet-based Operator Learning for Differential Equations.
NeurIPS
Gaurav Gupta, Xiongye Xiao, Paul Bogdan
2021 J jnl
Multiwavelet-based Operator Learning for Differential Equations.
CoRR
Gaurav Gupta, Xiongye Xiao, Paul Bogdan
2021 — conf
Non-Markovian Reinforcement Learning using Fractional Dynamics.
CDC
Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan
2021 J jnl
Non-Markovian Reinforcement Learning using Fractional Dynamics.
CoRR
Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan
2021 J jnl
Plasticity-on-Chip Design: Exploiting Self-Similarity for Data Communications.
IEEE Trans. Computers
Yao Xiao, Shahin Nazarian, Paul Bogdan
2021 C conf
Trust-aware Control for Intelligent Transportation Systems.
IV
Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
2021 J jnl
Trust-aware Control for Intelligent Transportation Systems.
CoRR
Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
2021 J jnl
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text.
CoRR
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
2020 J jnl
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems.
CoRR
Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
2020 C conf
Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory.
ACC
Panagiotis Kyriakis, Sérgio Pequito, Paul Bogdan
2020 C conf
An Efficient Task Mapping for Manycore Systems.
ISCAS
Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian
2020 J jnl
Biomorphic structural batteries for robotics.
Sci. Robotics
Mingqiang Wang, Drew Vecchio, Chunyan Wang, Ahmet Emre, Xiongye Xiao, Zaixing Jiang, Paul Bogdan, Yudong Huang, Nicholas A. Kotov
2020 — conf
Discovering Laws from Observations: A Data-Driven Approach.
DDDAS
Chenzhong Yin, Gaurav Gupta, Paul Bogdan
2020 J jnl
Efficient Task Mapping for Manycore Systems.
CoRR
Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian
2020 J jnl
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.
Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
2020 J jnl
Identifying Arguments of Space-Time Fractional Diffusion: Data-Driven Approach.
Frontiers Appl. Math. Stat.
Mohamed Ridha Znaidi, Gaurav Gupta, Kamiar Asgari, Paul Bogdan
2020 — conf
On the Stability and Fairness of Submodular Allocations.
CDC
Panagiotis Kyriakis, Sérgio Pequito, Paul Bogdan
2020 — conf
PMU Visibility Graphs.
ISGT
Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere
2020 C conf
S4oC: A Self-Optimizing, Self-Adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach.
ISCAS
Shahin Nazarian, Paul Bogdan
2020 J jnl
S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach.
CoRR
Shahin Nazarian, Paul Bogdan
2020 J jnl
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks.
Frontiers Artif. Intell.
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
2020 A* conf
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text.
WWW
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
2019 J jnl
Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges.
IEEE Des. Test
Janardhan Rao Doppa, Justinian Rosca, Paul Bogdan
2019 — conf
Data-driven perception of neuron point process with unknown unknowns.
ICCPS
Ruochen Yang, Gaurav Gupta, Paul Bogdan
2019 J jnl
Design Methodology for Energy Efficient Unmanned Aerial Vehicles.
CoRR
Jingyu He, Yao Xiao, Paul Bogdan, Corina Bogdan
2019 J jnl
Guest Editors' Introduction: Special Issue on Smart and Autonomous Systems for Sustainability.
IEEE Des. Test
Janardhan Rao Doppa, Justinian Rosca, Paul Bogdan
2019 J jnl
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers.
CoRR
Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
2019 C conf
Learning Latent Fractional dynamics with Unknown Unknowns.
ACC
Gaurav Gupta, Sérgio Pequito, Paul Bogdan
2019 — ed.
Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2019, New York, NY, USA, October 17-18, 2019
NOCS
Paul Bogdan, Cristina Silvano
2019 J jnl
Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach.
IEEE Trans. Very Large Scale Integr. Syst.
Yao Xiao, Shahin Nazarian, Paul Bogdan
2019 J jnl
Specification Mining and Robust Design under Uncertainty: A Stochastic Temporal Logic Approach.
ACM Trans. Embed. Comput. Syst.
Panagiotis Kyriakis, Jyotirmoy V. Deshmukh, Paul Bogdan
2019 Misc conf
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems.
CODES+ISSS
Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao
2019 J jnl
The actuation spectrum of Spatiotemporal Networks with Power-Law Time Dependencies.
Adv. Complex Syst.
Qi Cao, Guilherme Ramos, Paul Bogdan, Sérgio Pequito
2018 — conf
Accelerating Coverage Directed Test Generation for Functional Verification: A Neural Network-based Framework.
ACM Great Lakes Symposium on VLSI
Fanchao Wang, Hanbin Zhu, Pranjay Popli, Yao Xiao, Paul Bogdan, Shahin Nazarian
2018 J jnl
Approximate Submodular Functions and Performance Guarantees.
CoRR
Gaurav Gupta, Sérgio Pequito, Paul Bogdan
2018 J jnl
Data-driven Perception of Neuron Point Process with Unknown Unknowns.
CoRR
Ruochen Yang, Gaurav Gupta, Paul Bogdan
2018 C conf
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs.
ACC
Gaurav Gupta, Sérgio Pequito, Paul Bogdan
2018 J jnl
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs.
CoRR
Gaurav Gupta, Sérgio Pequito, Paul Bogdan
2018 J jnl
Learning Latent Fractional dynamics with Unknown Unknowns.
CoRR
Gaurav Gupta, Sérgio Pequito, Paul Bogdan
2018 — conf
PMU Change Point Detection of Imminent Voltage Collapse and Stealthy Attacks.
CDC
Jayson Sia, Edmond A. Jonckheere, Laith Shalalfeh, Paul Bogdan
2018 J jnl
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators.
CoRR
Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang
2018 A conf
Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators.
DATE
Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang
2018 A conf
Prometheus: Processing-in-memory heterogeneous architecture design from a multi-layer network theoretic strategy.
DATE
Yao Xiao, Shahin Nazarian, Paul Bogdan
2018 — conf
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis.
ICCPS
Gaurav Gupta, Sérgio Daniel Pequito, Paul Bogdan
2018 J jnl
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis.
CoRR
Gaurav Gupta, Sérgio Pequito, Paul Bogdan
2018 J jnl
Scalable Network-on-Chip Architectures for Brain-Machine Interface Applications.
IEEE Trans. Very Large Scale Integr. Syst.
Xian Li, Karthi Duraisamy, Paul Bogdan, Janardhan Rao Doppa, Partha Pratim Pande
2018 J jnl
Selecting Sensors in Biological Fractional-Order Systems.
IEEE Trans. Control. Netw. Syst.
Vasileios Tzoumas, Yuankun Xue, Sérgio Pequito, Paul Bogdan, George J. Pappas
2018 — conf
Stochastic Temporal Logic Abstractions: Challenges and Opportunities.
FORMATS
Jyotirmoy V. Deshmukh, Panagiotis Kyriakis, Paul Bogdan
2018 C conf
Toward Enabling Automated Cognition and Decision-Making in Complex Cyber-Physical Systems.
ISCAS
Paul Bogdan, Massoud Pedram
2018 — ed.
Twelfth IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2018, Torino, Italy, October 4-5, 2018
NOCS
Zhonghai Lu, Sriram R. Vangal, Jiang Xu, Paul Bogdan
2017 J jnl
A Reconfigurable Wireless NoC for Large Scale Microbiome Community Analysis.
IEEE Trans. Computers
Xian Li, Karthi Duraisamy, Joe Baylon, Turbo Majumder, Guopeng Wei, Paul Bogdan, Deukhyoun Heo, Partha Pratim Pande
2017 A conf
A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach.
ICCAD
Yao Xiao, Yuankun Xue, Shahin Nazarian, Paul Bogdan
2017 — conf
Constructing compact causal mathematical models for complex dynamics.
ICCPS
Yuankun Xue, Paul Bogdan
2017 — conf
Distributed placement of power generation resources in uncertain environments.
ICCPS
Gaurav Gupta, Paul Bogdan
2017 J jnl
Fundamental Challenges Toward Making the IoT a Reachable Reality: A Model-Centric Investigation.
ACM Trans. Design Autom. Electr. Syst.
Yuankun Xue, Ji Li, Shahin Nazarian, Paul Bogdan
2017 J jnl
Multicast-Aware High-Performance Wireless Network-on-Chip Architectures.
IEEE Trans. Very Large Scale Integr. Syst.
Karthi Duraisamy, Yuankun Xue, Paul Bogdan, Partha Pratim Pande
2016 J jnl
A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu
2016 — conf
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars.
SoCC
Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan
2016 A conf
A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces.
DATE
Yuankun Xue, Saul Rodriguez, Paul Bogdan
2016 — conf
Improving NoC performance under spatio-temporal variability by runtime reconfiguration: a general mathematical framework.
NOCS
Yuankun Xue, Paul Bogdan
2016 — conf
Kendall's tau of frequency Hurst exponent as blackout proximity Margin.
SmartGridComm
Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere
2016 Misc conf
Making the internet-of-things a reality: from smart models, sensing and actuation to energy-efficient architectures.
CODES+ISSS
Paul Bogdan, Miroslav Pajic, Partha Pratim Pande, Vijay Raghunathan
2016 — conf
Minimum number of sensors to ensure observability of physiological systems: A case study.
Allerton
Yuankun Xue, Sérgio Pequito, Joana R. Coelho, Paul Bogdan, George J. Pappas
2016 J jnl
Network-on-Chip-Enabled Multicore Platforms for Parallel Model Predictive Control.
IEEE Trans. Very Large Scale Integr. Syst.
Xian Li, Karthi Duraisamy, Paul Bogdan, Turbo Majumder, Partha Pratim Pande
2016 J jnl
Performance Evaluation of NoC-Based Multicore Systems: From Traffic Analysis to NoC Latency Modeling.
ACM Trans. Design Autom. Electr. Syst.
Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu
2016 Misc conf
Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation.
CASES
Paul Bogdan, Partha Pratim Pande, Hussam Amrouch, Muhammad Shafique, Jörg Henkel
2016 C conf
Power-aware virtual machine mapping in the data-center-on-a-chip paradigm.
ICCD
Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram
2016 Misc conf
Scalable and realistic benchmark synthesis for efficient NoC performance evaluation: a complex network analysis approach.
CODES+ISSS
Yuankun Xue, Paul Bogdan
2015 A conf
A cyber-physical systems approach to personalized medicine: challenges and opportunities for noc-based multicore platforms.
DATE
Paul Bogdan
2015 — conf
Analyzing the Dark Silicon Phenomenon in a Many-Core Chip Multi-Processor under Deeply-Scaled Process Technologies.
ACM Great Lakes Symposium on VLSI
Alireza Shafaei Bejestan, Yanzhi Wang, Srikanth Ramadurgam, Yuankun Xue, Paul Bogdan, Massoud Pedram
2015 — conf
Cyber-physical systems for personalized and precise medicine.
MWSCAS
Paul Bogdan, Yuankun Xue
2015 — conf
Energy-efficient computing from systems-on-chip to micro-server and data centers.
IGSC
Paul Bogdan, Siddharth Garg, Ümit Y. Ogras
2015 J jnl
Guest Editors' Introduction: Cyber-Physical Systems for Medical Applications.
IEEE Des. Test
Paul Bogdan, Rahul Mangharam
2015 A conf
Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost.
ICCAD
Xue Lin, Paul Bogdan, Naehyuck Chang, Massoud Pedram
2015 — conf
Mathematical Modeling and Control of Multifractal Workloads for Data-Center-on-a-Chip Optimization.
NOCS
Paul Bogdan
2015 A conf
Mathematical Models and Control Algorithms for Dynamic Optimization of Multicore Platforms: A Complex Dynamics Approach.
ICCAD
Paul Bogdan, Yuankun Xue
2015 — conf
Minimum number of probes for brain dynamics observability.
CDC
Sérgio Daniel Pequito, Paul Bogdan, George J. Pappas
2015 — conf
Multiscale modeling of biological communication.
ICC
Navid Azizan Ruhi, Paul Bogdan
2015 — conf
NoC Architectures as Enablers of Biological Discovery for Personalized and Precision Medicine.
NOCS
Paul Bogdan, Turbo Majumder, Arvind Ramanathan, Yuankun Xue
2015 A conf
NoC-enabled multicore architectures for stochastic analysis of biomolecular reactions.
DATE
Turbo Majumder, Xian Li, Paul Bogdan, Partha Pratim Pande
2015 B conf
Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model.
Intelligent Vehicles Symposium
Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram
2015 Misc conf
Queueing theory as a modeling tool for bacterial interaction: Implications for microbial fuel cells.
ICNC
Urbashi Mitra, Nicolò Michelusi, Sahand Pirbadian, H. Koorehdavoudi, Mohamed Y. El-Naggar, Paul Bogdan
2015 — conf
User Cooperation Network Coding Approach for NoC Performance Improvement.
NOCS
Yuankun Xue, Paul Bogdan
2015 — conf
Workload Modeling and its Implications on Data-Center-on-a-Chip Optimization: From Mathematical Models to Control Algorithms.
CSCS
Paul Bogdan
2014 — conf
A comprehensive and accurate latency model for Network-on-Chip performance analysis.
ASP-DAC
Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu
2014 — conf
An efficient Network-on-Chip (NoC) based multicore platform for hierarchical parallel genetic algorithms.
NOCS
Yuankun Xue, Zhiliang Qian, Guopeng Wei, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu
2014 — conf
Challenges and Opportunities in Design of Control Algorithm for Artificial Pancreas.
MCPS
Mahboobeh Ghorbani, Paul Bogdan
2014 A* conf
Disease Diagnosis-on-a-Chip: Large Scale Networks-on-Chip based Multicore Platform for Protein Folding Analysis.
DAC
Yuankun Xue, Zhiliang Qian, Paul Bogdan, Fan Ye, Chi-Ying Tsui
2014 J jnl
Exploiting Emergence in On-Chip Interconnects.
IEEE Trans. Computers
Simon J. Hollis, Chris Jackson, Paul Bogdan, Radu Marculescu
2014 A conf
Low-latency wireless 3D NoCs via randomized shortcut chips.
DATE
Hiroki Matsutani, Michihiro Koibuchi, Ikki Fujiwara, Takahiro Kagami, Yasuhiro Take, Tadahiro Kuroda, Paul Bogdan, Radu Marculescu, Hideharu Amano
2014 Misc conf
Prediction and control of bursty cloud workloads: A fractal framework.
CODES+ISSS
Mahboobeh Ghorbani, Yanzhi Wang, Yuankun Xue, Massoud Pedram, Paul Bogdan
2014 — conf
Reducing risk of closed loop control of blood glucose in artificial pancreas using fractional calculus.
EMBC
Mahboobeh Ghorbani, Paul Bogdan
2014 A conf
Reinforcement learning based power management for hybrid electric vehicles.
ICCAD
Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram
2014 — conf
Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique.
BigData Congress
Shuang Chen, Mahboobeh Ghorbani, Yanzhi Wang, Paul Bogdan, Massoud Pedram
2013 — conf
A case for wireless 3D NoCs for CMPs.
ASP-DAC
Hiroki Matsutani, Paul Bogdan, Radu Marculescu, Yasuhiro Take, Daisuke Sasaki, Hao Zhang, Michihiro Koibuchi, Tadahiro Kuroda, Hideharu Amano
2013 Misc conf
A cyber-physical system approach to artificial pancreas design.
CODES+ISSS
Mahboobeh Ghorbani, Paul Bogdan
2013 A* conf
Balls into Bins via Local Search.
SODA
Paul Bogdan, Thomas Sauerwald, Alexandre Stauffer, He Sun
2013 J jnl
Bumpy Rides: Modeling the Dynamics of Chemotactic Interacting Bacteria.
IEEE J. Sel. Areas Commun.
Guopeng Wei, Paul Bogdan, Radu Marculescu
2013 J jnl
Dynamic power management for multidomain system-on-chip platforms: An optimal control approach.
ACM Trans. Design Autom. Electr. Syst.
Paul Bogdan, Radu Marculescu, Siddharth Jain
2013 J jnl
Efficient Modeling and Simulation of Bacteria-Based Nanonetworks with BNSim.
IEEE J. Sel. Areas Commun.
Guopeng Wei, Paul Bogdan, Radu Marculescu
2013 J jnl
Pacemaker control of heart rate variability: A cyber physical system perspective.
ACM Trans. Embed. Comput. Syst.
Paul Bogdan, Siddharth Jain, Radu Marculescu
2013 A conf
Performance evaluation of multicore systems: from traffic analysis to latency predictions (embedded tutorial).
ICCAD
Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu
2013 A conf
SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model.
DATE
Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu
2012 Misc conf
A traffic-aware adaptive routing algorithm on a highly reconfigurable network-on-chip architecture.
CODES+ISSS
Zhiliang Qian, Paul Bogdan, Guopeng Wei, Chi-Ying Tsui, Radu Marculescu
2012 — conf
An Optimal Control Approach to Power Management for Multi-Voltage and Frequency Islands Multiprocessor Platforms under Highly Variable Workloads.
NOCS
Paul Bogdan, Radu Marculescu, Siddharth Jain, Rafael Tornero Gavilá
2012 J jnl
Balls into Bins via Local Search
CoRR
Paul Bogdan, Thomas Sauerwald, Alexandre Stauffer, He Sun
2012 C conf
Dynamic power management for multicores: Case study using the intel SCC.
VLSI-SoC
Radu David, Paul Bogdan, Radu Marculescu
2012 — conf
Implantable Pacemakers Control and Optimization via Fractional Calculus Approaches: A Cyber-Physical Systems Perspective.
ICCPS
Paul Bogdan, Siddharth Jain, Kartikeya Goyal, Radu Marculescu
2012 — conf
Modeling populations of micro-robots for biological applications.
ICC
Paul Bogdan, Guopeng Wei, Radu Marculescu
2011 — conf
A fractional calculus approach to modeling fractal dynamic games.
CDC/ECC
Paul Bogdan, Radu Marculescu
2011 — conf
A software framework for trace analysis targeting multicore platforms design.
NOCS
Guopeng Wei, Paul Bogdan, Radu Marculescu
2011 J jnl
Cyberphysical Systems: Workload Modeling and Design Optimization.
IEEE Des. Test Comput.
Radu Marculescu, Paul Bogdan
2011 — conf
Dynamic power management of voltage-frequency island partitioned Networks-on-Chip using Intel's Single-chip Cloud Computer.
NOCS
Radu David, Paul Bogdan, Radu Marculescu, Ümit Y. Ogras
2011 J jnl
Hitting Time Analysis for Fault-Tolerant Communication at Nanoscale in Future Multiprocessor Platforms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Paul Bogdan, Radu Marculescu
2011 J jnl
Non-Stationary Traffic Analysis and Its Implications on Multicore Platform Design.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Paul Bogdan, Radu Marculescu
2011 A conf
Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms?
DATE
Partha Pratim Pande, Fabien Clermidy, Diego Puschini, Imen Mansouri, Paul Bogdan, Radu Marculescu, Amlan Ganguly
2011 — —
Theoretical Foundations of Multicore Systems Design: A Dynamical Systems Perspective.
Paul Bogdan
2011 — conf
Towards a Science of Cyber-Physical Systems Design.
ICCPS
Paul Bogdan, Radu Marculescu
2010 J jnl
An Analytical Approach for Network-on-Chip Performance Analysis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ümit Y. Ogras, Paul Bogdan, Radu Marculescu
2010 — conf
QuaLe: A Quantum-Leap Inspired Model for Non-stationary Analysis of NoC Traffic in Chip Multi-processors.
NOCS
Paul Bogdan, Miray Kas, Radu Marculescu, Onur Mutlu
2010 Misc conf
Workload characterization and its impact on multicore platform design.
CODES+ISSS
Paul Bogdan, Radu Marculescu
2009 Misc conf
Statistical physics approaches for network-on-chip traffic characterization.
CODES+ISSS
Paul Bogdan, Radu Marculescu
2009 J jnl
The Chip Is the Network: Toward a Science of Network-on-Chip Design.
Found. Trends Electron. Des. Autom.
Radu Marculescu, Paul Bogdan
2008 — conf
Hitting Time Analysis for Stochastic Communication.
NanoNet
Paul Bogdan, Radu Marculescu
2007 A* conf
Quantum-Like Effects in Network-on-Chip Buffers Behavior.
DAC
Paul Bogdan, Radu Marculescu
2007 J jnl
Stochastic Communication: A New Paradigm for Fault-Tolerant Networks-on-Chip.
VLSI Design
Paul Bogdan, Tudor Dumitras, Radu Marculescu
2006 — conf
A Theoretical Framework for On-chip Stochastic Communication Analysis.
Nano-Net
Paul Bogdan, Radu Marculescu