Faramarz Fekri is affiliated with the Georgia Institute of Technology in the United States. Their research primarily lies within the field of Computer Science, with a significant focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Mechanics, and Information Systems.
The scientist's work covers a range of topics, notably Semantic Web and Ontologies, Reinforcement Learning in Robotics, Sparse and Compressive Sensing Techniques, Bayesian Modeling and Causal Inference, Logic, Reasoning, and Knowledge, Adversarial Robustness in Machine Learning, and Stochastic Gradient Optimization Techniques.
Frequent co-authors contributing extensively alongside Fekri include Siheng Xiong, Afshin Abdi, Duo Xu, Ali Payani, and Yuan Yang.
Publication venues where Fekri has contributed multiple works include:
Recent representative publications demonstrate the diverse scope of Fekri's research:
The body of work reflects a multidisciplinary approach integrating machine learning, signal processing, and knowledge representation. The scientist's publications emphasize both theoretical advancements and practical implementations within these domains.
N. Rahnavard;B.N. Vellambi;F. Fekri
H. Pishro-Nik;N. Rahnavard;F. Fekri
H. Pishro-Nik;F. Fekri
I. Akyildiz;Y. Altunbasak;F. Fekri;R. Sivakumar
Ian F. Akyildiz;Faramarz Fekri;Raghupathy Sivakumar;Craig R. Forest
H. Pishro-Nik;F. Fekri
Ramanan Subramanian;Faramarz Fekri
M. Sartipi;F. Fekri
F. Fekri;R.M. Mersereau;R.W. Schafer
Arash Einolghozati;Mohsen Sardari;Ahmad Beirami;Faramarz Fekri
Erman Ayday;Faramarz Fekri
Arash Einolghozati;Mohsen Sardari;Faramarz Fekri
Arash Einolghozati;Mohsen Sardari;Faramarz Fekri
E. Ayday;F. Fekri
N. Rahnavard;H. Pishro-Nik;F. Fekri
M. Sartipi;F. Fekri
Arash Einolghozati;Mohsen Sardari;Faramarz Fekri
Hossein Pishro-Nik;Kevin Chan;Faramarz Fekri
B.N. Vellambi;F. Fekri
M. Sartipi;F. Fekri
If you think any of the details on this page are incorrect, let us know.
For those interested in expanding their expertise in Electronics and Electrical Engineering, pursuing an accelerated online bachelor degree programs accredited can be a practical option. These programs are designed to help working adults complete their degrees faster without compromising quality, allowing for a quicker transition into advanced roles in the industry.
In addition to engineering-focused degrees, professionals looking to diversify their skillset may consider exploring the best online teaching master's programs. These programs equip students with instructional design skills, bridging technology and education—a valuable intersection for engineers interested in training and development roles.
Many online programs now incorporate competency based degree models. These focus on mastering specific skills rather than credit hours, allowing students to learn at their own pace and demonstrate real-world capabilities relevant to the evolving electrical and electronics fields.
For military spouses and dependents pursuing careers in engineering, choosing from military spouse friendly online colleges ensures access to flexible, supportive learning environments that accommodate unique lifestyle challenges while advancing educational goals.
National Institute for Materials Science
Swinburne University of Technology
Brigham and Women's Hospital
IBM (United States)
Korea Advanced Institute of Science and Technology
German Center for Neurodegenerative Diseases
KU Leuven
Kodak (France)
General Electric (United States)
National Research Council (CNR)
Harvard University
California Pacific Medical Center
University of Freiburg
Vrije Universiteit Brussel
Natural Resources Institute Finland
New South Wales Department of Primary Industries
