Welcome To My Homepage
Karim Baghery is currently a full-time PhD student in Computer Science under supervision of Prof. Helger Lipmaa in the Cryptography Research Group, Institute of Computer Science at University of Tartu. He was a graduate researcher at Information Systems and Security Laboratory (ISSL) of Electrical Engineering Department of Sharif University of Technology from June 2013-February 2016. He has received his M.Sc. degree in Electrical Engineering (Communications Systems) from Shahed University, Tehran, Iran in 2014, and the B.Sc. degree in Electrical Engineering (Telecommunications) from IAU University, Iran, in 2010.
During his master studies, he also was a researcher in the Information Theoretic Learning Systems Laboratory (ITLSL), Department of Engineering, Shahed University, Tehran. He is Member of IEEE since 2013 and he has been reviewer in several international conferences and journals including, ASIACRYPT 2018, TCC 2018, PKC 2019, Computer & Secuiry Journal, IET Information Security, IEEE Journal of Radio Frequency Identification, International Journal of Distributed Sensor Networks, Wireless Personal Communications Journal and etc. His research interests mainly include cryptography, RFID security and privacy, internet of things and optimization on wireless networks.
The cryptography group at University of Tartu conducts research into areas such as Cryptographic protocol design (e-voting, privacy-preserving data mining, secure computation, ZK), Cryptographic protocol analysis, Symbolic cryptography, Quantum cryptography, Theory of cryptography.
ISSL is combination of two research groups of brilliant professors and graduate students in Cryptography and Information Theory. The director of the lab is Prof. Mohammad Reza Aref. The lab has located in the Electrical Engineering Department of Sharif University of Technology.
Information Theoritic Learning Systems Lab (ITLSL) is a group of researchers at Shahed University which have focused on learning systems based on information theoretic criteri such as Entropy (in different forms and definations), Mutual Information, and etc. A recent result from the grope is in following URL.