Instruction reliability analysis for embedded processors. - Ali Azarpeyvand; Mostafa E. Salehi; Farshad Firouzi; Amir Yazdanbakhsh; Sied Mehdi Fakhraie (DDECS, 2010)

Reliability-Aware Dynamic Voltage and Frequency Scaling. - Farshad Firouzi; Mostafa E. Salehi; Fan Wang; Sied Mehdi Fakhraie; Saeed Safari (ISVLSI, 2010)

Dynamic Soft Error Hardening via Joint Body Biasing and Dynamic Voltage Scaling. - Farshad Firouzi; Amir Yazdanbakhsh; Hamed Dorosti; Sied Mehdi Fakhraie (DSD, 2011)

A linear programming approach for minimum NBTI vector selection. - Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori (ACM Great Lakes Symposium on VLSI, 2011)

Modeling and estimation of power supply noise using linear programming. - Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori (ICCAD, 2011)

An accurate model for soft error rate estimation considering dynamic voltage and frequency scaling effects. - Farshad Firouzi; Mostafa E. Salehi; Fan Wang; Sied Mehdi Fakhraie (Microelectron. Reliab., 2011)

Reducing NBTI-induced processor wearout by exploiting the timing slack of instructions. - Fabian Oboril; Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori (CODES+ISSS, 2012)

NBTI mitigation by optimized NOP assignment and insertion. - Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori (DATE, 2012)

Input and transistor reordering for NBTI and HCI reduction in complex CMOS gates. - Saman Kiamehr; Farshad Firouzi; Mehdi Baradaran Tahoori (ACM Great Lakes Symposium on VLSI, 2012)

Adaptive fault-tolerant DVFS with dynamic online AVF prediction. - Farshad Firouzi; Ali Azarpeyvand; Mostafa E. Salehi; Sied Mehdi Fakhraie (Microelectron. Reliab., 2012)

Statistical analysis of BTI in the presence of process-induced voltage and temperature variations. - Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori (ASP-DAC, 2013)

Incorporating the impacts of workload-dependent runtime variations into timing analysis. - Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori; Sani R. Nassif (DATE, 2013)

Instruction-set extension under process variation and aging effects. - Yuko Hara-Azumi; Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori (DATE, 2013)

A layout-aware x-filling approach for dynamic power supply noise reduction in at-speed scan testing. - Saman Kiamehr; Farshad Firouzi; Mehdi Baradaran Tahoori (ETS, 2013)

Aging-aware timing analysis considering combined effects of NBTI and PBTI. - Saman Kiamehr; Farshad Firouzi; Mehdi Baradaran Tahoori (ISQED, 2013)

Representative critical-path selection for aging-induced delay monitoring. - Farshad Firouzi; Fangming Ye; Krishnendu Chakrabarty; Mehdi Baradaran Tahoori (ITC, 2013)

Chip-level modeling and analysis of electrical masking of soft errors. - Saman Kiamehr; Mojtaba Ebrahimi; Farshad Firouzi; Mehdi Baradaran Tahoori (VTS, 2013)

Negative Bias Temperature Instability-Aware Instruction Scheduling: A Cross-Layer Approach. - Fabian Oboril; Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori (J. Low Power Electron., 2013)

Power-Aware Minimum NBTI Vector Selection Using a Linear Programming Approach. - Farshad Firouzi; Saman Kiamehr; Mehdi Baradaran Tahoori (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013)

Adaptive Mitigation of Parameter Variations. - Farshad Firouzi; Fangming Ye; Saman Kiamehr; Krishnendu Chakrabarty; Mehdi Baradaran Tahoori (ATS, 2014)

Aging-aware standard cell library design. - Saman Kiamehr; Farshad Firouzi; Mojtaba Ebrahimi; Mehdi Baradaran Tahoori (DATE, 2014)

P/G TSV planning for IR-drop reduction in 3D-ICs. - Shengcheng Wang; Farshad Firouzi; Fabian Oboril; Mehdi Baradaran Tahoori (DATE, 2014)

Chip Health Monitoring Using Machine Learning. - Farshad Firouzi; Fangming Ye; Krishnendu Chakrabarty; Mehdi Baradaran Tahoori (ISVLSI, 2014)

On-chip voltage-droop prediction using support-vector machines. - Fangming Ye; Farshad Firouzi; Yang Yang; Krishnendu Chakrabarty; Mehdi Baradaran Tahoori (VTS, 2014)

Stress-aware P/G TSV planning in 3D-ICs. - Shengcheng Wang; Farshad Firouzi; Fabian Oboril; Mehdi Baradaran Tahoori (ASP-DAC, 2015)

On-line prediction of NBTI-induced aging rates. - Rafal Baranowski; Farshad Firouzi; Saman Kiamehr; Chang Liu 010; Mehdi Baradaran Tahoori; Hans-Joachim Wunderlich (DATE, 2015)

Re-using BIST for circuit aging monitoring. - Farshad Firouzi; Fangming Ye; Arunkumar Vijayan; Abhishek Koneru; Krishnendu Chakrabarty; Mehdi Baradaran Tahoori (ETS, 2015)

Deadspace-aware Power/Ground TSV planning in 3D floorplanning. - Shengcheng Wang; Farshad Firouzi; Fabian Oboril; Mehdi Baradaran Tahoori (ICICDT, 2015)

Extending standard cell library for aging mitigation. - Saman Kiamehr; Mojtaba Ebrahimi; Farshad Firouzi; Mehdi Baradaran Tahoori (IET Comput. Digit. Tech., 2015)

Aging- and Variation-Aware Delay Monitoring Using Representative Critical Path Selection. - Farshad Firouzi; Fangming Ye; Krishnendu Chakrabarty; Mehdi Baradaran Tahoori (ACM Trans. Design Autom. Electr. Syst., 2015)

Resilient Design for Process and Runtime Variations. - Farshad Firouzi (2015)

On-Chip Droop-Induced Circuit Delay Prediction Based on Support-Vector Machines. - Fangming Ye; Farshad Firouzi; Yang Yang; Krishnendu Chakrabarty; Mehdi Baradaran Tahoori (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Guest Editorial: Alternative Computing and Machine Learning for Internet of Things. - Farshad Firouzi; Bahar J. Farahani; Andrew B. Kahng; Jan M. Rabaey; Natasha Balac (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. - Bahar J. Farahani; Farshad Firouzi; Victor I. Chang 001; Mustafa Badaroglu; Nicholas Constant; Kunal Mankodiya (Future Gener. Comput. Syst., 2018)

Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics. - Farshad Firouzi; Amir M. Rahmani; Kunal Mankodiya; Mustafa Badaroglu; Geoff V. Merrett; P. Wong; Bahar J. Farahani (Future Gener. Comput. Syst., 2018)

Keynote Paper: From EDA to IoT eHealth: Promises, Challenges, and Solutions. - Farshad Firouzi; Bahar J. Farahani; Mohamed Ibrahim 002; Krishnendu Chakrabarty (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Human Activity Recognition: From Sensors to Applications. - Faeghe Fereidoonian; Farshad Firouzi; Bahar J. Farahani (COINS, 2020)

Towards Safer Roads: A Deep Learning-Based Multimodal Fatigue Monitoring System. - Maryam Hashemi; Bahar J. Farahani; Farshad Firouzi (COINS, 2020)

Towards IoT-enabled Multimodal Mental Stress Monitoring. - Mohsen Mozafari; Farshad Firouzi; Bahar J. Farahani (COINS, 2020)

Task Offloading for Edge-Fog-Cloud Interplay in the Healthcare Internet of Things (IoT). - Farshad Firouzi; Bahar J. Farahani; Ehsan Panahi; Mojtaba Barzegari (COINS, 2021)

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. - Farshad Firouzi; Bahareh J. Farahani; Mahmoud Daneshmand; Kathy Grise; Jaeseung Song; Roberto Saracco; Lucy Lu Wang; Kyle Lo; Plamen Angelov 001; Eduardo A. Soares 001; Po-Shen Loh; Zeynab Talebpour; et al. (IEEE Internet Things J., 2021)

The convergence of IoT and distributed ledger technologies (DLT): Opportunities, challenges, and solutions. - Bahar J. Farahani; Farshad Firouzi; Markus Lücking (J. Netw. Comput. Appl., 2021)

AI-Driven Data Monetization: The Other Face of Data in IoT-Based Smart and Connected Health. - Farshad Firouzi; Bahareh J. Farahani; Mojtaba Barzegari; Mahmoud Daneshmand (IEEE Internet Things J., 2022)

Guest Editorial Special Issue on AI-Driven IoT Data Monetization: A Transition From Value Islands to Value Ecosystems. - Farshad Firouzi; Bahareh J. Farahani; Mahmoud Daneshmand; Cesare Pautasso (IEEE Internet Things J., 2022)

A Resilient and Hierarchical IoT-Based Solution for Stress Monitoring in Everyday Settings. - Shiyi Jiang; Farshad Firouzi; Krishnendu Chakrabarty; Eric B. Elbogen (IEEE Internet Things J., 2022)

The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT). - Farshad Firouzi; Bahareh J. Farahani; Alexander Marinsek (Inf. Syst., 2022)

Welcome Message from the Chairs. - Farshad Firouzi; Krishnendu Chakrabarty; Naghmeh Karimi; Bahareh J. Farahani; Diana Goehringer; Aurora Gil de Castro; Marc Reichenbach; Kun-Chih Chen (COINS, 2023)

Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. - Peter Domanski; Aritra Ray; Farshad Firouzi; Kyle Lafata; Krishnendu Chakrabarty; Dirk Pflüger (ICDH, 2023)

Guest Editorial Special Issue on Empowering the Future Generation Systems: Opportunities by the Convergence of Cloud, Edge, AI, and IoT. - Farshad Firouzi; Mahmoud Daneshmand; Jaeseung Song; Kunal Mankodiya (IEEE Internet Things J., 2023)

Fusion of IoT, AI, Edge-Fog-Cloud, and Blockchain: Challenges, Solutions, and a Case Study in Healthcare and Medicine. - Farshad Firouzi; Shiyi Jiang; Krishnendu Chakrabarty; Bahareh J. Farahani; Mahmoud Daneshmand; Jaeseung Song; Kunal Mankodiya (IEEE Internet Things J., 2023)

Neural Architecture Search for Blood Glucose Prediction in Type-1 Diabetics. - Anthony Liardo; Aritra Ray; Farshad Firouzi; Kyle Lafata; Krishnendu Chakrabarty (BSN, 2024)

LLM-AID: Leveraging Large Language Models for Rapid Domain-Specific Accelerator Development. - Farshad Firouzi; Sri Sai Rakesh Nakkilla; Chenghao Fu; Sanmitra Banerjee; Jonti Talukdar; Krishnendu Chakrabarty (ICCAD, 2024)

KG-Infused LLM for Virtual Health Assistant: Accelerated Inference and Enhanced Performance. - Siva Kumar Katta; Aritra Ray; Farshad Firouzi; Krishnendu Chakrabarty (ICMLA, 2024)

Preserving Accuracy While Stealing Watermarked Deep Neural Networks. - Aritra Ray; Farshad Firouzi; Kyle Lafata; Krishnendu Chakrabarty (ICMLA, 2024)

SEC-CiM: Selective Error Compensation for ReRAM-based Compute-in-Memory*. - Ashish Reddy Bommana; Farshad Firouzi; Chukwufumnanya Ogbogu; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (ITC, 2024)

SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection. - Jayeeta Chaudhuri; Dhruv Thapar; Arjun Chaudhuri; Farshad Firouzi; Krishnendu Chakrabarty (CoRR, 2024)

Low-Overhead Clustered Federated Learning for Personalized Stress Monitoring. - Shiyi Jiang; Farshad Firouzi; Krishnendu Chakrabarty (IEEE Internet Things J., 2024)

Silicon Whisperers: Improving Test Quality and Cost in the Age of Generative AI. - Sanmitra Banerjee; Jonti Talukdar; Farshad Firouzi (COINS, 2025)

REACT: REinforcement Learning-Based Adaptive ECG Anonymization and Privacy Threat Mitigation*. - Aniruddha Datta; Tamonash Bhattacharyya; Elahe Khatibi; Agasthya Seth; Ziyu Wang; Sanaz R. Mousavi; Amir M. Rahmani; Farshad Firouzi; Krishnendu Chakrabarty (COINS, 2025)

O2-RAN: Orbital Open RAN for Non-Terrestrial Networks and Space-Based Edge Computing. - Farshad Firouzi; Nathaniel Bleier; Bahar J. Farahani; Tolunay Seyfi; Fatemeh Afghah (COINS, 2025)

LiM Pruner: Efficient Pruning for Large Language-in-Memory Models. - Sri Sai Rakesh Nakkilla; Aniruddha Datta; Ashish Reddy Bommana; Jeff Zhang 001; Farshad Firouzi; Krishnendu Chakrabarty (COINS, 2025)

LLM-Sec: Closing the Security Loop using LLMs for Hardware Design. - Jonti Talukdar; Sanmitra Banerjee; Farshad Firouzi (COINS, 2025)

DEAR: Dependable 3D Architecture for Robust DNN Training. - Ashish Reddy Bommana; Farshad Firouzi; Chukwufumnanya Ogbogu; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (DATE, 2025)

Silent Data Corruption: Advancing Detection, Diagnosis, and Mitigation Strategies. - Peter Domanski; Mukarram Ali Faridi; Gabriel Kaunang; Wilson Pradeep; Adit D. Singh; Muhammad Alfian Amrizal; Yanjing Li; Farshad Firouzi; Krishnendu Chakrabarty (VTS, 2025)

ChipMnd: LLMs for Agile Chip Design. - Farshad Firouzi; David Z. Pan; Jiaqi Gu 002; Bahar J. Farahani; Jayeeta Chaudhuri; Ziang Yin; Pingchuan Ma 012; Peter Domanski; Krishnendu Chakrabarty (VTS, 2025)

Edge-based freezing of gait recognition in Parkinson's disease. - Luigi Borzì; Luis Sigcha; Farshad Firouzi; Gabriella Olmo; Florenc Demrozi (Comput. Electr. Eng., 2025)

H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures. - Ziang Yin; Aashish Poonia; Ashish Reddy Bommana; Xinyu Zhao; Zahra Hojati; Tianlong Chen 001; Krishnendu Chakrabarty; Farshad Firouzi; Jeff Zhang 001; Jiaqi Gu 002 (CoRR, 2025)

Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation. - Shiyi Jiang; Farshad Firouzi; Krishnendu Chakrabarty (CoRR, 2025)

SPICED+: Syntactical Bug Pattern Identification and Correction of Trojans in A/MS Circuits Using LLM-Enhanced Detection. - Jayeeta Chaudhuri; Dhruv Thapar; Arjun Chaudhuri; Farshad Firouzi; Krishnendu Chakrabarty (IEEE Trans. Very Large Scale Integr. Syst., 2025)