Conference Proceedings

Eleni Miliotou*, Panagiotis Kyriakis*, Andrei Irimia and Paul Bogdan. Generative Decoding of Visual Stimuli. ICML 2023. June 15, 2023.

Chenzhong Yin and Paul Bogdan. Raising The Limit of Image Rescaling Using Auxiliary Encoding. ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). June 6, 2023.

Emily A Reed and Paul Bogdan. Mitigating Epilepsy by Stabilizing Linear Fractional-Order Systems. 2023 American Control Conference (ACC). May 31, 2023.

J. Sia and Paul Bogdan. Phasor Measurement Unit Change-Point Detection of Frequency Hurst Exponent Anomaly with Time-to-Event. IEEE Transactions on Dependable and Secure Computing. March 29, 2023.

Xiongye Xiao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin and Paul Bogdan. Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. ICLR 2023. March 4, 2023.

Mingxi Cheng, Tingyang Sun, Shahin Nazarian, and Paul Bogdan. Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures. Conference on Lifelong Learning Agents. August 22, 2022.

Gaurav Gupta, Xiongye Xiao, Radu Balan, and Paul Bogdan. Non-Linear Operator Approximatorions for Initial Value Problems. International Conference on Learning Representations. March 14, 2022.

Panagiotis Kyriakis, Jyotirmoy Deshmukh, and Paul Bogdan. Pareto Policy Adaptation. International Conference on Learning Representations. March 15, 2022.

Panagiotis Kyriakis, Jyotirmoy Deshmukh, and Paul Bogdan. Learning from Demonstrations under Stochastic Temporal Logic Constraints. In Proceedings of the IEEE American Control Conference 2022. p. 2598-2603. June 8, 2022.

Mohamed Ridha Znaidi, Gaurav Gupta, and Paul Bogdan. Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System. In Proceedings of the IEEE International Symposium on Information Theory. June 26, 2022.

Gaurav Gupta, Xiongye Xiao, Paul Bogdan, Multiwavelet-based operator learning for differential equations, Advances in Neural Information Processing Systems, vol. 34, December 6, 2021. Spotlight

Gaurav Gupta, Chenzhong Yin, Jyotirmoy Deshmukh, and Paul Bogdan, Non-Markovian Reinforcement Learning using Fractional Dynamics, accepted in the Proceedings of IEEE Conference on Decision and Control (CDC) 2021.

Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan, Learning Hyperbolic Representations of Topological Features, in ICLR 2021.

Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, and Paul Bogdan, A General Trust Framework for Multi-Agent Systems, in the Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems.

Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan, Trust-aware Control for Intelligent Transportation Systems, 2021 IEEE Intelligent Vehicles Symposium (IV), Pages 377-384, July 11, 2021.

Panagiotis Kyriakis, Sergio Pequito and Paul Bogdan, On the Stability and Fairness of Submodular Allocations, to appear in Proceedings of the 59th Conference on Decision and Control (CDC), Jeju Island, Republic of Korea, December, 2020

Chenzhong Yin, Gaurav Gupta, and Paul Bogdan, Discovering laws from the Observations: A Data-driven Approach, in the Proceedings of the Dynamic Data Driven Applications Systems (DDDAS) October 2020

Mingxi Cheng, Shahin Nazarian, and Paul Bogdan, VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text, in TheWeb Conference (WWW’20), 2020

Panagiotis Kyriakis, Sergio Pequito and Paul Bogdan, Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory, Proceedings of the 2020 American Control Conference (ACC), Denver, USA July 2020

Gaurav Gupta, Sergio Pequito, and Paul Bogdan, Learning latent Fractional dynamics with Unknown Unknowns, Proceedings of the 2019 American Control Conference

Ruochen Yang*, Gaurav Gupta*, and Paul Bogdan, Data-driven Perception of Neuron Point Process with Unknown Unknowns, Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Cyber-Physical Systems Week, Montreal, Quebec, Canada — April 16 - 18, 2019
(* equal contribution authors)

Jayson Sia, Edmond Jonckheere, Laith Shalalfeh, and Paul Bogdan, PMU Change Point Detection of Imminent Voltage Collapse and Stealthy Attacks, in the Proceedings of the 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL, USA, December 2018

Paul Bogdan and Massoud Pedram, Toward Enabling Automated Cognition and Decision-Making in Complex Cyber-Physical Systems, 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 2018, pp. 1-4

Gaurav Gupta, Sergio Pequito, and Paul Bogdan, Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs, ACC, 2018

Gaurav Gupta, Sergio Pequito, and Paul Bogdan, Re-thinking EEG-based Non-Invasive Brain Interfaces: Modeling and Analysis, in the Proceedings of the 2018 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Porto, Portugal, April 2018

Fanchao Wang, Hanbin Zhu, Pranjay Popli, Yao Xiao, Shahin Nazarian, and Paul Bodgan, Accelerating Coverage Directed Test Generation for Functional Verification: A Neural Network-based Framework, Proceedings of the 28th ACM Great Lakes Symposium on VLSI (GLSVLSI), Chicago, USA, May 2018

Yao Xiao, Shahin Nazarian, and Paul Bogdan, Prometheus: Processing-in-memory Heterogeneous Architecture Design From a Multi-layer Network Theoretic Strategy, in the Proceedings of the Design, Automation & Test in Europe Conference & Exhibition (DATE), Dresden, Germany, March 2018

Yao Xiao, Yuankun Xue, Shahin Nazarian,and Paul Bogdan, A Load Balancing Inspired Parallel Execution Optimization Framework for Many-core Systems, Proceedings of the 2017 ACM/IEEE International Conference on Computer Aided Design (ICCAD), November 2017

Gaurav Gupta and Paul Bogdan, Distributed Placement of Power Generation Resources in Uncertain Environments, in Proceedings of 8th ACM/IEEE International Conference on Cyber-Physical System (ICCPS), 2017

Yuankun Xue and Paul Bogdan, Constructing Compact Causal Mathematical Models for Complex Dynamics, in Proceedings of 8th ACM/IEEE International Conference on Cyber-Physical System (ICCPS), 2017

Yuankun Xue, Sergio Pequito, Joana Maria Rosado Coelho, Paul Bogdan, and George Pappas, Minimum Number of Sensors to Ensure Observability of Physiological Systems: a Case Study, in Proceedings of 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016

Xue Lin, Yuankun Xue, Paul Bogdan, Massoud Pedram, Yanzhi Wang, and Siddarth Garg, Power-aware virtual machine mapping in the data-center-on-a-chip paradigm, Proc. of the 34nd IEEE International Conference on Computer Design (ICCD), Oct, 2016

Yuankun Xue and Paul Bogdan, Scalable and Realistic Benchmark Synthesis for Efficient NoC Performance Evaluation: A Complex Network Analysis Approach, (accepted in) Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2016

Paul Bogdan, Miroslav Pajic, Partha Pratim Pande, and Vijay Raghunathan, Making the Internet-of-Things a Reality: from Smart Models, Sensing and Actuation to Energy-Efficient Architectures, Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016

Paul Bogdan, Partha Partim Pande, Hussam Amrouch, Muhammad Shafique, and Jorg Henkel, Power and Thermal Management in Massive Multicore Chips: Theoretical Foundation Meets Architectural Innovation and Resource Allocation, Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems, ACM, 2016

Yuankun Xue and Paul Bogdan, Scalable and Realistic Benchmark Synthesis for Efficient NoC Performance Evaluation: A Complex Network Analysis Approach, Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016

Yuankun Xue and Paul Bogdan, Improving NoC Performance Under Spatio-Temporal Variability by Runtime Reconfiguration: A General Mathematical Framework, IEEE/ACM tenth International Symposium on Networks-on-Chip (NOCS), 2016

Yuankun Xue, Saul Rodriguez, and Paul Bogdan, A Spatio-Temporal Fractal Model for a CPS Approach to Brain-Machine-Body Interfaces, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2016

L. Shalalfeh, Paul Bogdan, and E. Johnckeere, Evidence of Long-range Dependence in Power Grid, IEEE Power and Energy Society General Meeting (PESGM), 2016

Paul Bogdan, Siddharth Garg, and Umit Y Ogras, Energy-Efficient Computing from Systems-on-Chip to Micro-Server and Data Centers, Green Computing Conference and Sustainable Computing Conference (IGSC), 2015 Sixth International IEEE, 2016

Paul Bogdan and Yuankun Xue, Mathematical Models and Control Algorithms for Dynamic Optimization of Multicore Platforms: A Complex Dynamics Approach, Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, IEEE Press, 2015

Xue Lin, Paul Bogdan, Naehyuck Chang, and Massoud Pedram, Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost, Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Yuankun Xue and Paul Bogdan, User Cooperation Network Coding Approach for NoC Performance Improvement, Proceedings of the 9th International Symposium on Networks-on-Chip ACM, 2015

Paul Bogdan, Mathematical modeling and control of multifractal workloads for data-center-on-a-chip optimization, Proceedings of the 9th International Symposium on Networks-on-Chip ACM, 2015

Paul Bogdan, Tubro Majumder, Arvind Ramanathan, and Yaunkun Xue, NoC Architectures as Enablers of Biological Discovery for Personalized and Precision Medicine, Proceedings of the 9th International Symposium on Networks-on-Chip. ACM, 2015

Paul Bogdan, A cyber-physical systems approach to personalized medicine: challenges and opportunities for noc-based multicore platforms, Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition. EDA Consortium, 2015

Navid Azizan Ruhi and Paul Bogdan, Multiscale modeling of biological communication, IEEE International Conference on Communications (ICC), 2015

Yuankun Xue, Zhiliang Qian, Guopeng Wei, Paul Bogdan, Chi-Ying Tsui, and Radu Marculescu, Efficient Network-on-chip(NoC) based Multicore platform for Hierarchical Parallel Genetic Algorithms, NOCS, 2014

Yuankun Xue, Zhiliang Qian, Paul Bogdan, Fan Ye, and Chi-Ying Tsui, Disease diagnosis-on-a-chip: Large scale networks-on-chip based multicore platform for protein folding analysis, DAC, 2014

Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, and Radu Marculescu, A comprehensive and accurate latency model for Network-on-Chip performance analysis, ASP-DAC, 323-328, 2014

Hiroki Matsutani, Michihiro Koibuchi, Ikki Fujiwara, Takahiro Kagami, Yasuhiro Take, Tadahiro Kuroda, Paul Bogdan, Radu Marculescu, and Hideharu Amano, Low-latency wireless 3D NoCs via randomized shortcut chips, DATE, 1-6, 2014

M Ghorbani, Y Wang, Paul Bogdan, and Massoud Pedram, and Control of Bursty Cloud Workloads: A Fractal Framework, Proceedings of the 12th IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), New Delhi, India, October 2014

M Ghorbani and P Bogdan, Challenges and Opportunities in Design of Control Algorithm for Artificial Pancreas, in Proc. of Medical Cyber Physical Systems (MCPS), 2014

M Ghorbani and P Bogdan, Risk of Closed Loop Control of Blood Glucose in Artificial Pancreas Using Fractional Calculus, Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, Illinois, U.S.A., August 26-30, 2014

S Chen, M Ghorbani, P Bogdan, and M Pedram, Trace-Based Analysis and Prediction of CloudComputing User Behavior Using the Fractal Modeling Technique, in Proc. of International congress on Big Data (BigData), 2014

Hiroki Matsutani, Paul Bogdan, Radu Marculescu, Yasuhiro Take, Daisuke Sasaki, Hao Zhang, Michihiro Koibuchi, Tadahiro Kuroda, and Hideharu Amano, A case for wireless 3D NoCs for CMPs, ASP-DAC, 23-28, 2013

Mahboobeh Ghorbani and Paul Bogdan, A cyber-physical system approach to artificial pancreas design, CODES+ISSS, 1-10, 2013

Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, and Radu Marculescu, SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model, DATE, 354-357, 2013

Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, and Radu Marculescu, Performance evaluation of multicore systems: from traffic analysis to latency predictions (embedded tutorial), ICCAD, 82-84, 2013

Paul Bogdan, Thomas Sauerwald, Alexandre Stauffer, and He Sun, Balls into Bins via Local Search, SODA, 16-34, 2013

Zhiliang Qian, Paul Bogdan, Guopeng Wei, Chi-Ying Tsui, and Radu Marculescu, A traffic-aware adaptive routing algorithm on a highly reconfigurable network-on-chip architecture, CODES+ISSS, 161-170, 2012

Paul Bogdan, Guopeng Wei, and Radu Marculescu, Modeling populations of micro-robots for biological applications, ICC, 6188-6192, 2012

Paul Bogdan, Siddharth Jain, Kartikeya Goyal, and Radu Marculescu, Implantable Pacemakers Control and Optimization via Fractional Calculus Approaches: A Cyber-Physical Systems Perspective, ICCPS, 23-32, 2012

Paul Bogdan, Radu Marculescu, Siddharth Jain, and Rafael Tornero Gavila, An Optimal Control Approach to Power Management for Multi-Voltage and Frequency Islands Multiprocessor Platforms under Highly Variable Workloads, NOCS, 35-42, 2012

Radu David, Paul Bogdan, and Radu Marculescu, Dynamic power management for multicores: Case study using the intel SCC, VLSI-SoC, 147-152, 2012

Paul Bogdan and Radu Marculescu, A fractional calculus approach to modeling fractal dynamic games, CDC-ECE, 255-260, 2011

Partha Pratim Pande, Fabien Clermidy, Diego Puschini, Imen Mansouri, Paul Bogdan, Radu Marculescu, and Amlan Ganguly, Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms?, DATE, 1656-1661, 2011

Paul Bogdan and Radu Marculescu, Towards a Science of Cyber-Physical Systems Design, ICCPS, 99-108, 2011

Radu David, Paul Bogdan, Radu Marculescu, and Ümit Y. Ogras, Dynamic power management of voltage-frequency island partitioned Networks-on-Chip using Intel's Single-chip Cloud Computer, NOCS, 257-258, 2011

Guopeng Wei, Paul Bogdan, and Radu Marculescu, A software framework for trace analysis targeting multicore platforms design, NOCS, 259-260, 2011

Paul Bogdan and Radu Marculescu, Workload characterization and its impact on multicore platform design, CODES+ISSS, 231-240, 2010

Paul Bogdan, Miray Kas, Radu Marculescu, and Onur Mutlu, QuaLe: A Quantum-Leap Inspired Model for Non-stationary Analysis of NoC Traffic in Chip Multi-processors, NOCS, 241-248, 2010

Paul Bogdan and Radu Marculescu, Statistical physics approaches for network-on-chip traffic characterization, CODES+ISSS, 461-470, 2009

Paul Bogdan and Radu Marculescu, Hitting Time Analysis for Stochastic Communication, NanoNet, 39-43, 2008

Paul Bogdan and Radu Marculescu, Quantum-Like Effects in Network-on-Chip Buffers Behavior, DAC, 266-267, 2007