A Theoretical Framework for On-chip Stochastic Communication Analysis. - Paul Bogdan; Radu Marculescu (Nano-Net, 2006)

Quantum-Like Effects in Network-on-Chip Buffers Behavior. - Paul Bogdan; Radu Marculescu (DAC, 2007)

Stochastic Communication: A New Paradigm for Fault-Tolerant Networks-on-Chip. - Paul Bogdan; Tudor Dumitras; Radu Marculescu (VLSI Design, 2007)

Hitting Time Analysis for Stochastic Communication. - Paul Bogdan; Radu Marculescu (NanoNet, 2008)

Statistical physics approaches for network-on-chip traffic characterization. - Paul Bogdan; Radu Marculescu (CODES+ISSS, 2009)

The Chip Is the Network: Toward a Science of Network-on-Chip Design. - Radu Marculescu; Paul Bogdan (Found. Trends Electron. Des. Autom., 2009)

Workload characterization and its impact on multicore platform design. - Paul Bogdan; Radu Marculescu (CODES+ISSS, 2010)

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

An Analytical Approach for Network-on-Chip Performance Analysis. - Ümit Y. Ogras; Paul Bogdan; Radu Marculescu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010)

A fractional calculus approach to modeling fractal dynamic games. - Paul Bogdan; Radu Marculescu (CDC/ECC, 2011)

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

Towards a Science of Cyber-Physical Systems Design. - Paul Bogdan; Radu Marculescu (ICCPS, 2011)

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

A software framework for trace analysis targeting multicore platforms design. - Guopeng Wei; Paul Bogdan; Radu Marculescu (NOCS, 2011)

Cyberphysical Systems: Workload Modeling and Design Optimization. - Radu Marculescu; Paul Bogdan (IEEE Des. Test Comput., 2011)

Non-Stationary Traffic Analysis and Its Implications on Multicore Platform Design. - Paul Bogdan; Radu Marculescu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2011)

Hitting Time Analysis for Fault-Tolerant Communication at Nanoscale in Future Multiprocessor Platforms. - Paul Bogdan; Radu Marculescu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2011)

Theoretical Foundations of Multicore Systems Design: A Dynamical Systems Perspective. - Paul Bogdan (2011)

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

Modeling populations of micro-robots for biological applications. - Paul Bogdan; Guopeng Wei; Radu Marculescu (ICC, 2012)

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

An Optimal Control Approach to Power Management for Multi-Voltage and Frequency Islands Multiprocessor Platforms under Highly Variable Workloads. - Paul Bogdan; Radu Marculescu; Siddharth Jain; Rafael Tornero Gavilá (NOCS, 2012)

Dynamic power management for multicores: Case study using the intel SCC. - Radu David; Paul Bogdan; Radu Marculescu (VLSI-SoC, 2012)

A case for wireless 3D NoCs for CMPs. - Hiroki Matsutani; Paul Bogdan; Radu Marculescu; Yasuhiro Take; Daisuke Sasaki; Hao Zhang 020; Michihiro Koibuchi; Tadahiro Kuroda; Hideharu Amano (ASP-DAC, 2013)

A cyber-physical system approach to artificial pancreas design. - Mahboobeh Ghorbani; Paul Bogdan (CODES+ISSS, 2013)

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

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

Balls into Bins via Local Search. - Paul Bogdan; Thomas Sauerwald; Alexandre Stauffer; He Sun 001 (SODA, 2013)

Efficient Modeling and Simulation of Bacteria-Based Nanonetworks with BNSim. - Guopeng Wei; Paul Bogdan; Radu Marculescu (IEEE J. Sel. Areas Commun., 2013)

Bumpy Rides: Modeling the Dynamics of Chemotactic Interacting Bacteria. - Guopeng Wei; Paul Bogdan; Radu Marculescu (IEEE J. Sel. Areas Commun., 2013)

Pacemaker control of heart rate variability: A cyber physical system perspective. - Paul Bogdan; Siddharth Jain; Radu Marculescu (ACM Trans. Embed. Comput. Syst., 2013)

Dynamic power management for multidomain system-on-chip platforms: An optimal control approach. - Paul Bogdan; Radu Marculescu; Siddharth Jain (ACM Trans. Design Autom. Electr. Syst., 2013)

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

Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique. - Shuang Chen 001; Mahboobeh Ghorbani; Yanzhi Wang; Paul Bogdan; Massoud Pedram (BigData Congress, 2014)

Prediction and control of bursty cloud workloads: A fractal framework. - Mahboobeh Ghorbani; Yanzhi Wang; Yuankun Xue; Massoud Pedram; Paul Bogdan (CODES+ISSS, 2014)

Disease Diagnosis-on-a-Chip: Large Scale Networks-on-Chip based Multicore Platform for Protein Folding Analysis. - Yuankun Xue; Zhiliang Qian; Paul Bogdan; Fan Ye 001; Chi-Ying Tsui (DAC, 2014)

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

Reducing risk of closed loop control of blood glucose in artificial pancreas using fractional calculus. - Mahboobeh Ghorbani; Paul Bogdan (EMBC, 2014)

Reinforcement learning based power management for hybrid electric vehicles. - Xue Lin 001; Yanzhi Wang; Paul Bogdan; Naehyuck Chang; Massoud Pedram (ICCAD, 2014)

Challenges and Opportunities in Design of Control Algorithm for Artificial Pancreas. - Mahboobeh Ghorbani; Paul Bogdan (MCPS, 2014)

An efficient Network-on-Chip (NoC) based multicore platform for hierarchical parallel genetic algorithms. - Yuankun Xue; Zhiliang Qian; Guopeng Wei; Paul Bogdan; Chi-Ying Tsui; Radu Marculescu (NOCS, 2014)

Exploiting Emergence in On-Chip Interconnects. - Simon J. Hollis; Chris Jackson; Paul Bogdan; Radu Marculescu (IEEE Trans. Computers, 2014)

Minimum number of probes for brain dynamics observability. - Sérgio Daniel Pequito; Paul Bogdan; George J. Pappas (CDC, 2015)

Workload Modeling and its Implications on Data-Center-on-a-Chip Optimization: From Mathematical Models to Control Algorithms. - Paul Bogdan (CSCS, 2015)

A cyber-physical systems approach to personalized medicine: challenges and opportunities for noc-based multicore platforms. - Paul Bogdan (DATE, 2015)

NoC-enabled multicore architectures for stochastic analysis of biomolecular reactions. - Turbo Majumder; Xian Li; Paul Bogdan; Partha Pratim Pande (DATE, 2015)

Analyzing the Dark Silicon Phenomenon in a Many-Core Chip Multi-Processor under Deeply-Scaled Process Technologies. - Alireza Shafaei Bejestan; Yanzhi Wang; Srikanth Ramadurgam; Yuankun Xue; Paul Bogdan; Massoud Pedram (ACM Great Lakes Symposium on VLSI, 2015)

Energy-efficient computing from systems-on-chip to micro-server and data centers. - Paul Bogdan; Siddharth Garg; Ümit Y. Ogras (IGSC, 2015)

Multiscale modeling of biological communication. - Navid Azizan Ruhi; Paul Bogdan (ICC, 2015)

Mathematical Models and Control Algorithms for Dynamic Optimization of Multicore Platforms: A Complex Dynamics Approach. - Paul Bogdan; Yuankun Xue (ICCAD, 2015)

Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost. - Xue Lin 001; Paul Bogdan; Naehyuck Chang; Massoud Pedram (ICCAD, 2015)

Queueing theory as a modeling tool for bacterial interaction: Implications for microbial fuel cells. - Urbashi Mitra; Nicolò Michelusi; Sahand Pirbadian; H. Koorehdavoudi; Mohamed Y. El-Naggar; Paul Bogdan (ICNC, 2015)

Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model. - Xue Lin 001; Yanzhi Wang; Paul Bogdan; Naehyuck Chang; Massoud Pedram (Intelligent Vehicles Symposium, 2015)

Cyber-physical systems for personalized and precise medicine. - Paul Bogdan; Yuankun Xue (MWSCAS, 2015)

Mathematical Modeling and Control of Multifractal Workloads for Data-Center-on-a-Chip Optimization. - Paul Bogdan (NOCS, 2015)

NoC Architectures as Enablers of Biological Discovery for Personalized and Precision Medicine. - Paul Bogdan; Turbo Majumder; Arvind Ramanathan; Yuankun Xue (NOCS, 2015)

User Cooperation Network Coding Approach for NoC Performance Improvement. - Yuankun Xue; Paul Bogdan (NOCS, 2015)

Guest Editors' Introduction: Cyber-Physical Systems for Medical Applications. - Paul Bogdan; Rahul Mangharam (IEEE Des. Test, 2015)

Minimum number of sensors to ensure observability of physiological systems: A case study. - Yuankun Xue; Sérgio Pequito; Joana R. Coelho; Paul Bogdan; George J. Pappas (Allerton, 2016)

Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. - Paul Bogdan; Partha Pratim Pande; Hussam Amrouch; Muhammad Shafique 001; Jörg Henkel (CASES, 2016)

Making the internet-of-things a reality: from smart models, sensing and actuation to energy-efficient architectures. - Paul Bogdan; Miroslav Pajic; Partha Pratim Pande; Vijay Raghunathan (CODES+ISSS, 2016)

Scalable and realistic benchmark synthesis for efficient NoC performance evaluation: a complex network analysis approach. - Yuankun Xue; Paul Bogdan (CODES+ISSS, 2016)

A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces. - Yuankun Xue; Saul Rodriguez; Paul Bogdan (DATE, 2016)

Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. - Xue Lin 001; Yuankun Xue; Paul Bogdan; Yanzhi Wang; Siddharth Garg; Massoud Pedram (ICCD, 2016)

Improving NoC performance under spatio-temporal variability by runtime reconfiguration: a general mathematical framework. - Yuankun Xue; Paul Bogdan (NOCS, 2016)

Kendall's tau of frequency Hurst exponent as blackout proximity Margin. - Laith Shalalfeh; Paul Bogdan; Edmond A. Jonckheere (SmartGridComm, 2016)

A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. - Ruizhe Cai; Ao Ren; Yanzhi Wang; Sucheta Soundarajan; Qinru Qiu; Bo Yuan 001; Paul Bogdan (SoCC, 2016)

A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures. - Zhiliang Qian; Da-Cheng Juan; Paul Bogdan; Chi-Ying Tsui; Diana Marculescu; Radu Marculescu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Performance Evaluation of NoC-Based Multicore Systems: From Traffic Analysis to NoC Latency Modeling. - Zhiliang Qian; Paul Bogdan; Chi-Ying Tsui; Radu Marculescu (ACM Trans. Design Autom. Electr. Syst., 2016)

Network-on-Chip-Enabled Multicore Platforms for Parallel Model Predictive Control. - Xian Li; Karthi Duraisamy; Paul Bogdan; Turbo Majumder; Partha Pratim Pande (IEEE Trans. Very Large Scale Integr. Syst., 2016)

A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach. - Yao Xiao; Yuankun Xue; Shahin Nazarian; Paul Bogdan (ICCAD, 2017)

Distributed placement of power generation resources in uncertain environments. - Gaurav Gupta; Paul Bogdan (ICCPS, 2017)

Constructing compact causal mathematical models for complex dynamics. - Yuankun Xue; Paul Bogdan (ICCPS, 2017)

A Reconfigurable Wireless NoC for Large Scale Microbiome Community Analysis. - Xian Li; Karthi Duraisamy; Joe Baylon; Turbo Majumder; Guopeng Wei; Paul Bogdan; Deukhyoun Heo; Partha Pratim Pande (IEEE Trans. Computers, 2017)

Fundamental Challenges Toward Making the IoT a Reachable Reality: A Model-Centric Investigation. - Yuankun Xue; Ji Li 006; Shahin Nazarian; Paul Bogdan (ACM Trans. Design Autom. Electr. Syst., 2017)

Multicast-Aware High-Performance Wireless Network-on-Chip Architectures. - Karthi Duraisamy; Yuankun Xue; Paul Bogdan; Partha Pratim Pande (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs. - Gaurav Gupta; Sérgio Pequito; Paul Bogdan (ACC, 2018)

PMU Change Point Detection of Imminent Voltage Collapse and Stealthy Attacks. - Jayson Sia; Edmond A. Jonckheere; Laith Shalalfeh; Paul Bogdan (CDC, 2018)

Prometheus: Processing-in-memory heterogeneous architecture design from a multi-layer network theoretic strategy. - Yao Xiao; Shahin Nazarian; Paul Bogdan (DATE, 2018)

Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. - Hanchen Yang; Feiyang Kang; Caiwen Ding; Ji Li 006; Jaemin Kim; Donkyu Baek; Shahin Nazarian; Xue Lin 001; Paul Bogdan; Naehyuck Chang (DATE, 2018)

Stochastic Temporal Logic Abstractions: Challenges and Opportunities. - Jyotirmoy V. Deshmukh; Panagiotis Kyriakis; Paul Bogdan (FORMATS, 2018)

Accelerating Coverage Directed Test Generation for Functional Verification: A Neural Network-based Framework. - Fanchao Wang; Hanbin Zhu; Pranjay Popli; Yao Xiao; Paul Bogdan; Shahin Nazarian (ACM Great Lakes Symposium on VLSI, 2018)

Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis. - Gaurav Gupta; Sérgio Daniel Pequito; Paul Bogdan (ICCPS, 2018)

Toward Enabling Automated Cognition and Decision-Making in Complex Cyber-Physical Systems. - Paul Bogdan; Massoud Pedram (ISCAS, 2018)

Approximate Submodular Functions and Performance Guarantees. - Gaurav Gupta; Sérgio Pequito; Paul Bogdan (CoRR, 2018)

Selecting Sensors in Biological Fractional-Order Systems. - Vasileios Tzoumas; Yuankun Xue; Sérgio Pequito; Paul Bogdan; George J. Pappas (IEEE Trans. Control. Netw. Syst., 2018)

Scalable Network-on-Chip Architectures for Brain-Machine Interface Applications. - Xian Li; Karthi Duraisamy; Paul Bogdan; Janardhan Rao Doppa; Partha Pratim Pande (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Learning Latent Fractional dynamics with Unknown Unknowns. - Gaurav Gupta; Sérgio Pequito; Paul Bogdan (ACC, 2019)

Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. - Paul Bogdan; Fan Chen 001; Aryan Deshwal; Janardhan Rao Doppa; Biresh Kumar Joardar; Hai (Helen) Li; Shahin Nazarian; Linghao Song; Yao Xiao (CODES+ISSS, 2019)

Data-driven perception of neuron point process with unknown unknowns. - Ruochen Yang; Gaurav Gupta; Paul Bogdan (ICCPS, 2019)

The actuation spectrum of Spatiotemporal Networks with Power-Law Time Dependencies. - Qi Cao; Guilherme Ramos; Paul Bogdan; Sérgio Pequito (Adv. Complex Syst., 2019)

Design Methodology for Energy Efficient Unmanned Aerial Vehicles. - Jingyu He; Yao Xiao; Paul Bogdan; Corina Bogdan (CoRR, 2019)

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. - Mingxi Cheng; Ji Li 006; Paul Bogdan; Shahin Nazarian (CoRR, 2019)

Guest Editors' Introduction: Special Issue on Smart and Autonomous Systems for Sustainability. - Janardhan Rao Doppa; Justinian Rosca; Paul Bogdan (IEEE Des. Test, 2019)

Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges. - Janardhan Rao Doppa; Justinian Rosca; Paul Bogdan (IEEE Des. Test, 2019)

Specification Mining and Robust Design under Uncertainty: A Stochastic Temporal Logic Approach. - Panagiotis Kyriakis; Jyotirmoy V. Deshmukh; Paul Bogdan (ACM Trans. Embed. Comput. Syst., 2019)

Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach. - Yao Xiao; Shahin Nazarian; Paul Bogdan (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory. - Panagiotis Kyriakis; Sérgio Pequito; Paul Bogdan (ACC, 2020)

On the Stability and Fairness of Submodular Allocations. - Panagiotis Kyriakis; Sérgio Pequito; Paul Bogdan (CDC, 2020)

Discovering Laws from Observations: A Data-Driven Approach. - Chenzhong Yin; Gaurav Gupta; Paul Bogdan (DDDAS, 2020)

S4oC: A Self-Optimizing, Self-Adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach. - Shahin Nazarian; Paul Bogdan (ISCAS, 2020)

An Efficient Task Mapping for Manycore Systems. - Xiqian Wang; Jiajin Xi; Yinghao Wang; Paul Bogdan; Shahin Nazarian (ISCAS, 2020)

PMU Visibility Graphs. - Laith Shalalfeh; Paul Bogdan; Edmond A. Jonckheere (ISGT, 2020)

VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. - Mingxi Cheng; Shahin Nazarian; Paul Bogdan (WWW, 2020)

Efficient Task Mapping for Manycore Systems. - Xiqian Wang; Jiajin Xi; Yinghao Wang; Paul Bogdan; Shahin Nazarian (CoRR, 2020)

A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. - Guixiang Ma; Yao Xiao; Theodore L. Willke; Nesreen K. Ahmed; Shahin Nazarian; Paul Bogdan (CoRR, 2020)

Identifying Arguments of Space-Time Fractional Diffusion: Data-Driven Approach. - Mohamed Ridha Znaidi; Gaurav Gupta; Kamiar Asgari; Paul Bogdan (Frontiers Appl. Math. Stat., 2020)

There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks. - Mingxi Cheng; Shahin Nazarian; Paul Bogdan (Frontiers Artif. Intell., 2020)

Biomorphic structural batteries for robotics. - Mingqiang Wang; Drew Vecchio; Chunyan Wang; Ahmet Emre; Xiongye Xiao; Zaixing Jiang; Paul Bogdan; Yudong Huang; Nicholas A. Kotov (Sci. Robotics, 2020)

H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. - Mingxi Cheng; Ji Li 006; Paul Bogdan; Shahin Nazarian (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

A General Trust Framework for Multi-Agent Systems. - Mingxi Cheng; Chenzhong Yin; Junyao Zhang; Shahin Nazarian; Jyotirmoy Deshmukh; Paul Bogdan (AAMAS, 2021)

Learning Code Representations Using Multifractal-based Graph Networks. - Guixiang Ma; Yao Xiao; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan; Nesreen K. Ahmed (IEEE BigData, 2021)

Non-Markovian Reinforcement Learning using Fractional Dynamics. - Gaurav Gupta; Chenzhong Yin; Jyotirmoy V. Deshmukh; Paul Bogdan (CDC, 2021)

Learning Hyperbolic Representations of Topological Features. - Panagiotis Kyriakis; Iordanis Fostiropoulos; Paul Bogdan (ICLR, 2021)

Trust-aware Control for Intelligent Transportation Systems. - Mingxi Cheng; Junyao Zhang; Shahin Nazarian; Jyotirmoy Deshmukh; Paul Bogdan (IV, 2021)

A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. - Guixiang Ma; Yao Xiao; Theodore L. Willke; Nesreen K. Ahmed; Shahin Nazarian; Paul Bogdan (MLSys, 2021)

Multiwavelet-based Operator Learning for Differential Equations. - Gaurav Gupta; Xiongye Xiao; Paul Bogdan (NeurIPS, 2021)

A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks. - Emily A. Reed; Guilherme Ramos; Paul Bogdan; Sérgio Pequito (CoRR, 2021)

Plasticity-on-Chip Design: Exploiting Self-Similarity for Data Communications. - Yao Xiao; Shahin Nazarian; Paul Bogdan (IEEE Trans. Computers, 2021)

Fractional Dynamics of PMU Data. - Laith Shalalfeh; Paul Bogdan; Edmond A. Jonckheere (IEEE Trans. Smart Grid, 2021)

Learning from Demonstrations under Stochastic Temporal Logic Constraints. - Panagiotis Kyriakis; Jyotirmoy V. Deshmukh; Paul Bogdan (ACC, 2022)

Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures. - Mingxi Cheng; Tingyang Sun; Shahin Nazarian; Paul Bogdan (CoLLAs, 2022)

Non-Linear Operator Approximations for Initial Value Problems. - Gaurav Gupta; Xiongye Xiao; Radu Balan; Paul Bogdan (ICLR, 2022)

Pareto Policy Adaptation. - Panagiotis Kyriakis; Jyotirmoy Deshmukh; Paul Bogdan (ICLR, 2022)

Improving Robustness: When and How to Minimize or Maximize the Loss Variance. - Valeriu Balaban; Hoda Bidkhori; Paul Bogdan (ICMLA, 2022)

Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System. - Mohamed Ridha Znaidi; Gaurav Gupta; Paul Bogdan (ISIT, 2022)

Efficient Representation Learning for Higher-Order Data With Simplicial Complexes. - Ruochen Yang; Frederic Sala; Paul Bogdan (LoG, 2022)

Fractional cyber-neural systems - A brief survey. - Emily A. Reed; Sarthak Chatterjee; Guilherme Ramos; Paul Bogdan; Sérgio Pequito (Annu. Rev. Control., 2022)

Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs. - Emily A. Reed; Guilherme Ramos; Paul Bogdan; Sérgio Pequito (Autom., 2022)

End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. - Yao Xiao; Guixiang Ma; Nesreen K. Ahmed; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan (CoRR, 2022)

Introduction to the Special Issue on Internet-of-Medical-Things. - Paul Bogdan; Radu Grosu; Insup Lee 001 (ACM Trans. Comput. Heal., 2022)

Unifying structural descriptors for biological and bioinspired nanoscale complexes. - Minjeong Cha; Emine Sumeyra Turali-Emre; Xiongye Xiao; Ji-Young Kim; Paul Bogdan; J. Scott Vanepps; Angela Violi; Nicholas A. Kotov (Nat. Comput. Sci., 2022)

A Design Methodology for Energy-Aware Processing in Unmanned Aerial Vehicles. - Jingyu He; Yao Xiao; Corina Bogdan; Shahin Nazarian; Paul Bogdan (ACM Trans. Design Autom. Electr. Syst., 2022)

SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks. - Jingyu He; Ziyang Shen; Fengshi Tian; Jinbo Chen; Jie Yang 033; Mohamad Sawan; Hsiang-Ting Chen; Paul Bogdan; Chi-Ying Tsui (AICAS, 2023)

Mitigating Epilepsy by Stabilizing Linear Fractional-Order Systems. - Emily A. Reed; Guilherme Ramos; Paul Bogdan; Sérgio Pequito (ACC, 2023)

Raising The Limit of Image Rescaling Using Auxiliary Encoding. - Chenzhong Yin; Zhihong Pan 001; Xin Zhou 017; Le Kang; Paul Bogdan (ICASSP, 2023)

Coupled Multiwavelet Operator Learning for Coupled Differential Equations. - Xiongye Xiao; Defu Cao; Ruochen Yang; Gaurav Gupta; Gengshuo Liu; Chenzhong Yin; Radu Balan; Paul Bogdan (ICLR, 2023)

Generative Decoding of Visual Stimuli. - Eleni Miliotou; Panagiotis Kyriakis; Jason D. Hinman; Andrei Irimia; Paul Bogdan (ICML, 2023)

Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution. - Valeriu Balaban; Jayson Sia; Paul Bogdan (ICMLA, 2023)

C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits. - Junyao Zhang; Paul Bogdan; Shahin Nazarian (CoRR, 2023)

A Majority Logic Synthesis Framework For Single Flux Quantum Circuits. - Junyao Zhang; Paul Bogdan; Shahin Nazarian (CoRR, 2023)

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. - Xiongye Xiao; Defu Cao; Ruochen Yang; Gaurav Gupta; Gengshuo Liu; Chenzhong Yin; Radu Balan; Paul Bogdan (CoRR, 2023)

Fractional dynamics foster deep learning of COPD stage prediction. - Chenzhong Yin; Mihai Udrescu; Gaurav Gupta; Mingxi Cheng; Andrei Lihu; Lucretia Udrescu; Paul Bogdan; David M. Mannino; Stefan Mihaicuta (CoRR, 2023)

Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives. - Chenzhong Yin; Mingxi Cheng; Xiongye Xiao; Xinghe Chen; Shahin Nazarian; Andrei Irimia; Paul Bogdan (CoRR, 2023)

Leveraging Reinforcement Learning and Large Language Models for Code Optimization. - Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Heng Ping; Chenyu Zhou; Nesreen K. Ahmed; Guixiang Ma; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan (CoRR, 2023)

A Scalable Distributed Dynamical Systems Approach to Learn the Strongly Connected Components and Diameter of Networks. - Emily A. Reed; Guilherme Ramos; Paul Bogdan; Sérgio Pequito (IEEE Trans. Autom. Control., 2023)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2023)

Analyzing Neural Network Robustness Using Graph Curvature. - Shuhang Tan; Jayson Sia; Paul Bogdan; Radoslav Ivanov (ICAA, 2024)

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. - Anzhe Cheng; Heng Ping; Zhenkun Wang 008; Xiongye Xiao; Chenzhong Yin; Shahin Nazarian; Mingxi Cheng; Paul Bogdan (ICASSP, 2024)

Discovering Malicious Signatures in Software from Structural Interactions. - Chenzhong Yin; Hantang Zhang; Mingxi Cheng; Xiongye Xiao; Xinghe Chen; Xin Ren; Paul Bogdan (ICASSP, 2024)

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. - Xiongye Xiao; Gengshuo Liu; Gaurav Gupta; Defu Cao; Shixuan Li; Yaxing Li; Tianqing Fang; Mingxi Cheng; Paul Bogdan (ICLR, 2024)

A Structure-Aware Framework for Learning Device Placements on Computation Graphs. - Shukai Duan 002; Heng Ping; Nikos Kanakaris; Xiongye Xiao; Panagiotis Kyriakis; Nesreen K. Ahmed; Peiyu Zhang 002; Guixiang Ma; Mihai Capota; Shahin Nazarian; Theodore L. Willke; Paul Bogdan (NeurIPS, 2024)

Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective. - Xiongye Xiao; Chenyu Zhou; Heng Ping; Defu Cao; Yaxing Li; Yizhuo Zhou; Shixuan Li; Paul Bogdan (CoRR, 2024)

Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms. - Fanchen Bu; Ruochen Yang; Paul Bogdan; Kijung Shin (CoRR, 2024)

Multi-scale Conditional Generative Modeling for Microscopic Image Restoration. - Luzhe Huang; Xiongye Xiao; Shixuan Li; Jiawen Sun; Yi Huang; Aydogan Ozcan; Paul Bogdan (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - 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; et al. (CoRR, 2024)

Multi-scale Generative Modeling for Fast Sampling. - Xiongye Xiao; Shixuan Li; Luzhe Huang; Gengshuo Liu; Trung-Kien Nguyen; Yi Huang; Di Chang; Mykel J. Kochenderfer; Paul Bogdan (CoRR, 2024)

Phasor Measurement Unit Change-Point Detection of Frequency Hurst Exponent Anomaly With Time-to-Event. - Jayson Sia; Edmond A. Jonckheere; Laith Shalalfeh; Paul Bogdan (IEEE Trans. Dependable Secur. Comput., 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury. - Kevin H. Guo; Nikhil N. Chaudhari; Tamara Jafar; Nahian F. Chowdhury; Paul Bogdan; Andrei Irimia (Neuroinformatics, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

A Sampling Complexity-aware Framework for Discrete-time Fractional-Order Dynamical System Identification. - Xiaole Zhang; Vijay Gupta; Paul Bogdan (ACC, 2025)

Controllable Generative Model for Brain Evolution. - Gengshuo Liu; Nikhil N. Chaudhari; Nikos Kanakaris; Chenzhong Yin; Paul Bogdan; Andrei Irimia (ICASSP, 2025)

Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. - Yao Xiao; Nikos Kanakaris; Anzhe Cheng; Chenzhong Yin; Nesreen K. Ahmed; Shahin Nazarian; Andrei Irimia; Paul Bogdan (ICASSP, 2025)

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models. - Xiongye Xiao; Heng Ping; Chenyu Zhou; Defu Cao; Yaxing Li; Yizhuo Zhou; Shixuan Li; Nikos Kanakaris; Paul Bogdan (ICLR, 2025)

Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance. - Nikos Kanakaris; Heng Ping; Xiongye Xiao; Nesreen K. Ahmed; Luca Luceri; Emilio Ferrara; Paul Bogdan (WWW (Companion Volume), 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)

End-to-End Learning Framework for Solving Non-Markovian Optimal Control. - Xiaole Zhang; Peiyu Zhang 002; Xiongye Xiao; Shixuan Li; Vasileios Tzoumas; Vijay Gupta; Paul Bogdan (CoRR, 2025)

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models. - Shixuan Li; Wei Yang; Peiyu Zhang 002; Xiongye Xiao; Defu Cao; Yuehan Qin; Xiaole Zhang; Yue Zhao 016; Paul Bogdan (CoRR, 2025)

MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation. - Anzhe Cheng; Chenzhong Yin; Yu Chang; Heng Ping; Shixuan Li; Shahin Nazarian; Paul Bogdan (CoRR, 2025)

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL. - Heng Ping; Shixuan Li; Peiyu Zhang 002; Anzhe Cheng; Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Wei Yang; Shahin Nazarian; Andrei Irimia; Paul Bogdan (CoRR, 2025)

H2GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs. - Trung-Kien Nguyen; Heng Ping; Shixuan Li; Peiyu Zhang; Nikos Kanakaris; Nicholas A. Kotov; Paul Bogdan (CoRR, 2025)

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis. - Anzhe Cheng; Chenzhong Yin; Mingxi Cheng; Shukai Duan 002; Shahin Nazarian; Paul Bogdan (CoRR, 2025)