What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Algorithm
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 most cited work include:
- Coverage problems in wireless ad-hoc sensor networks (1636 citations)
- A Survey of Hardware Trojan Taxonomy and Detection (921 citations)
- Exposure in wireless Ad-Hoc sensor networks (628 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Embedded system (25.16%)
- Artificial intelligence (19.75%)
- Deep learning (12.10%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (19.75%)
- Artificial neural network (9.55%)
- Deep learning (12.10%)
In recent papers he was focusing on the following fields of study:
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
- Distributed computing and related Network topology,
- Compiler that intertwine with fields like Computer architecture, Python and Adaptation.
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.
Between 2018 and 2021, his most popular works were:
- Advances and Open Problems in Federated Learning (571 citations)
- DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks (71 citations)
- XONN: XNOR-based oblivious deep neural network inference (63 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Programming language
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.
