A New Approach for Improving Coverage in Mobile Sensor Networks. - Bahareh J. Farahani; Mahmood Fathy (ICWN, 2009)

Improved Dynamic K-Coverage Algorithms in Mobile Sensor Networks. - Roghayeh Soleimanzadeh; Bahareh J. Farahani; Mahmood Fathy (Wirel. Sens. Netw., 2010)

Reliability-aware cross-layer custom instruction screening. - Bahareh J. Farahani; Ali Azarpeyvand; Saeed Safari; Seid Mehdi Fakhraie (DDECS, 2013)

An instance-based SER analysis in the presence of PVTA variations. - Bahareh J. Farahani; Saeed Safari (DFT, 2014)

A cross-layer approach to online adaptive reliability prediction of transient faults. - Bahar J. Farahani; Saeed Safari (DFTS, 2015)

A cross-layer SER analysis in the presence of PVTA variations. - Bahar J. Farahani; Seyedamin Habibi; Saeed Safari (Microelectron. Reliab., 2015)

Cross-layer custom instruction selection to address PVTA variations and soft error. - Bahareh J. Farahani; Saeed Safari (Microelectron. Reliab., 2015)

PVTA-aware approximate custom instruction extension technique: A cross-layer approach. - Bahareh J. Farahani; Saeed Safari; Nader Sehatbakhsh (Microelectron. Reliab., 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)

Cross-layer Enterprise Architecture Evaluation: An Approach to Improve the Evaluation of TO-BE Enterprise Architecture. - Hossein Ahmadi; Bahar J. Farahani; Fereidoon Shams Aliee; Masoud Azizi Motlagh (COINS, 2019)

The Evolving Enterprise Architecture: A Digital Transformation Perspective. - Fereidoon Shams Aliee; Hanieh Kashfi; Bahar J. Farahani (COINS, 2019)

Towards Collaborative Machine Learning Driven Healthcare Internet of Things. - Bahar J. Farahani; Mojtaba Barzegari; Fereidoon Shams Aliee (COINS, 2019)

Towards IoT-Driven Predictive Business Process Analytics. - Erfan Elhami; Abolfazl Ansari; Bahar J. Farahani; Fereidoon Shams Aliee (COINS, 2020)

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)

Social Internet of Things: Interoperability and Autonomous Computing Challenges. - Sarvin Memarian; Bahar J. Farahani; Eslam Nazemi (COINS, 2020)

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

Cold Start in Serverless Computing: Current Trends and Mitigation Strategies. - Parichehr Vahidinia; Bahar J. Farahani; Fereidoon Shams Aliee (COINS, 2020)

Towards collaborative intelligent IoT eHealth: From device to fog, and cloud. - Bahar J. Farahani; Mojtaba Barzegari; Fereidoon Shams Aliee; Khaja Ahmad Shaik (Microprocess. Microsystems, 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)

A hierarchical privacy-preserving IoT architecture for vision-based hand rehabilitation assessment. - Ali Nadian-Ghomsheh; Bahar J. Farahani; Mohammad Kavian (Multim. Tools Appl., 2021)

Auto-tuning HyperParameters of SGD Matrix Factorization-Based Recommender Systems Using Genetic Algorithm. - Habib Irani; Fatemeh Elahi; Mahmood Fazlali; Mahyar Shahsavari; Bahareh J. Farahani (COINS, 2022)

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)

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)

Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach. - Seyyed Saeid Cheshmi; Abtin Mahyar; Anita Soroush; Zahra Rezvani; Bahar J. Farahani (COINS, 2023)

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)

Exploiting Federated Learning for EEG-based Brain-Computer Interface System. - Mohammadnavid Ghader; Bahar J. Farahani; Zahra Rezvani; Mahyar Shahsavari; Mahmood Fazlali (COINS, 2023)

Toward a Personalized Clustered Federated Learning: A Speech Recognition Case Study. - Bahareh J. Farahani; Shima Tabibian; Hamid Ebrahimi (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)

Mitigating Cold Start Problem in Serverless Computing: A Reinforcement Learning Approach. - Parichehr Vahidinia; Bahareh J. Farahani; Fereidoon Shams Aliee (IEEE Internet Things J., 2023)

Enabling Privacy-Preserving Edge AI: Federated Learning Enhanced with Forward-Forward Algorithm. - Mohammadnavid Ghader; Saeed Reza Kheradpisheh; Bahareh J. Farahani; Mahmood Fazlali (COINS, 2024)

Decentralized and robust privacy-preserving model using blockchain-enabled Federated Deep Learning in intelligent enterprises. - Reza Fotohi; Fereidoon Shams Aliee; Bahar J. Farahani (Appl. Soft Comput., 2024)

A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises. - Reza Fotohi; Fereidoon Shams Aliee; Bahareh J. Farahani (IEEE Internet Things J., 2024)

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)

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)

Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm. - Mohammadnavid Ghader; Saeed Reza Kheradpisheh; Bahareh J. Farahani; Mahmood Fazlali (CoRR, 2025)