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Bayesian Computational Statistics and Modeling
BAYESCOMP
Bayesian Computational Statistics and Modeling
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Adaptive Optics

Gyan Deep Verma

Postdoctoral Research Fellow, Electrical and Computer Engineering

FSO/RF Systems Adaptive Optics intelligent reflecting surfaces Chaos Shift Keying

Gyan Deep verma works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Gyan Deep Verma received his B.Tech. degree in Electronics Engineering from Harcourt Butler Technological Institute, Kanpur, Uttar Pradesh, India, in 2015, and his M.Tech. degree in Communication Systems Engineering from the Indian Institute of Technology (IIT) Patna, Bihar, India, in

Bayesian Computational Statistics and Modeling (BAYESCOMP)

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