2019 - IEEE Fellow For contributions to hardware and embedded systems security and to privacy-preserving computing
Farinaz Koushanfar focuses on Embedded system, Cryptography, Physical unclonable function, Integrated circuit and Computer security. Farinaz Koushanfar is studying Field-programmable gate array, which is a component of Embedded system. His studies deal with areas such as Node and Overhead as well as Cryptography.
The Physical unclonable function study combines topics in areas such as Cryptographic protocol, Theoretical computer science and Hardware security module. Farinaz Koushanfar focuses mostly in the field of Integrated circuit, narrowing it down to topics relating to Hardware obfuscation and, in certain cases, Public-key cryptography, State, Record locking, Finite-state machine and Benchmark. His Malware study in the realm of Computer security interacts with subjects such as Physical disorder.
His primary areas of investigation include Embedded system, Artificial intelligence, Deep learning, Integrated circuit and Distributed computing. His research investigates the link between Embedded system and topics such as Physical unclonable function that cross with problems in Hardware security module. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Server.
The concepts of his Deep learning study are interwoven with issues in Software and Overhead. His study in Integrated circuit is interdisciplinary in nature, drawing from both Electronic engineering and Identification. The study incorporates disciplines such as Wireless sensor network, Scalability and Cloud computing in addition to Distributed computing.
The scientist’s investigation covers issues in Artificial intelligence, Artificial neural network, Deep learning, Inference and Scalability. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Adversary, Machine learning, Overhead and Pattern recognition. His Artificial neural network study also includes fields such as
His work carried out in the field of Deep learning brings together such families of science as Embedded system and Reliability. His research in Scalability focuses on subjects like Protocol, which are connected to Representation and Parallel computing. His Reinforcement learning study which covers Computer engineering that intersects with Field-programmable gate array.
His scientific interests lie mostly in Artificial intelligence, Deep learning, Scalability, Adversarial system and Inference. His Artificial intelligence study combines topics in areas such as Black box, Aggregate and Trojan. His work deals with themes such as Artificial neural network, Overhead and Distributed computing, which intersect with Deep learning.
His Overhead study deals with Fingerprint intersecting with Software deployment, Reliability, End-to-end principle, Embedded system and Software. His biological study spans a wide range of topics, including Resilience, Fault tolerance, Protocol, Dependability and Authentication. His studies in Adversarial system integrate themes in fields like Computer security and Speech recognition.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Coverage problems in wireless ad-hoc sensor networks
S. Meguerdichian;F. Koushanfar;M. Potkonjak;M.B. Srivastava.
international conference on computer communications (2001)
A Survey of Hardware Trojan Taxonomy and Detection
M. Tehranipoor;F. Koushanfar.
IEEE Design & Test of Computers (2010)
Exposure in wireless Ad-Hoc sensor networks
Seapahn Meguerdichian;Farinaz Koushanfar;Gang Qu;Miodrag Potkonjak.
acm/ieee international conference on mobile computing and networking (2001)
Ending Piracy of Integrated Circuits
J A Roy;F Koushanfar;I L Markov.
IEEE Computer (2010)
EPIC: ending piracy of integrated circuits
Jarrod A. Roy;Farinaz Koushanfar;Igor L. Markov.
design, automation, and test in europe (2008)
Advances and Open Problems in Federated Learning
Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet.
Foundations and Trends® in Machine Learning (2021)
Physical Unclonable Functions and Applications: A Tutorial
Charles Herder;Meng-Day Yu;Farinaz Koushanfar;Srinivas Devadas.
Proceedings of the IEEE (2014)
Advances and Open Problems in Federated Learning
Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet.
arXiv: Learning (2019)
Worst and best-case coverage in sensor networks
S. Megerian;F. Koushanfar;M. Potkonjak;M.B. Srivastava.
IEEE Transactions on Mobile Computing (2005)
A Primer on Hardware Security: Models, Methods, and Metrics
Masoud Rostami;Farinaz Koushanfar;Ramesh Karri.
Proceedings of the IEEE (2014)
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Profile was last updated on December 6th, 2021.
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The ranking d-index is inferred from publications deemed to belong to the considered discipline.
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