Prof. Erol Gelenbe has been elected a foreign fellow of Indian National Science Academy (INSA, New Delhi)

Indian National Science Academy (INSA, New Delhi) has announced the results of new foreign fellows elections: https://insaindia.res.in/scroll_news_pdf/f-felcit25.pdf. Prof. Erol Gelenbe has been elected effective from Jan 1st 2026.

Prof. Erol Gelenbe is a pioneering researcher in Computer Systems and Networks and in our Institute he is leading, among others, the execution of DOSS Horizon Europe project. Using Markovian and semi-Markov methods he obtained several seminal analytical results regarding the page fault rates in large classes of memory management algorithms, he derived the stability and optimal control of the ALOHA communication system, and the load dependent optimal values of checkpoints for databases. He invented new modeling and analysis methods, including the G-Network model. He invented the spiking random neural network and its deep learning, auto-associative and reinforcement algorithms. His technological contributions include a patented optimal architecture for many-to-many communications, patented reinforcement learning routing for edge networks and the Internet, and the industrial simulation tool Flexsim

Historia zmian

Data aktualizacji: 10/09/2025 - 13:22; autor zmian: Krzysztof Grochla (kil@iitis.pl)

Indian National Science Academy (INSA, New Delhi) has announced the results of new foreign fellows elections: https://insaindia.res.in/scroll_news_pdf/f-felcit25.pdf. Prof. Erol Gelenbe has been elected effective from Jan 1st 2026.

Prof. Erol Gelenbe is a pioneering researcher in Computer Systems and Networks and in our Institute he is leading, among others, the execution of DOSS Horizon Europe project. Using Markovian and semi-Markov methods he obtained several seminal analytical results regarding the page fault rates in large classes of memory management algorithms, he derived the stability and optimal control of the ALOHA communication system, and the load dependent optimal values of checkpoints for databases. He invented new modeling and analysis methods, including the G-Network model. He invented the spiking random neural network and its deep learning, auto-associative and reinforcement algorithms. His technological contributions include a patented optimal architecture for many-to-many communications, patented reinforcement learning routing for edge networks and the Internet, and the industrial simulation tool Flexsim