Our faculty member, Stefania Tomasiello, lecturer of Artificial Intelligence, recently joined IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) as associate editor.
IEEE TNNLS publishes articles that deal with the theory, design, and applications of neural networks and related learning systems. It is a premier journal in the field of Neural Networks and a flagship journal of the IEEE Computational Intelligence Society (IEEE CIS). The mission of IEEE CIS is to advance nature-inspired computational paradigms in science and engineering. It is well-known that the three main traditional pillars of computational intelligence are Neural Networks, Fuzzy Systems and Evolutionary Computation.
“I felt so happy when I got the invitation to join such a prestigious journal,” described Tomasiello the news about her new appointment. She added that it was not only because of the invitation itself but because she could witness the fact that one does not need any acquaintance for such kind of appointments. The same also applies to her position in this institute, she pointed out. Like saying that not everything is a spoiled system, against what most people think.
The new appointment was announced by the Editor in Chief, Prof. Haibo He (University of Rhode Island, USA), in the IEEE TNNLS editorial published last January. Overall, 32 new associate editors have been appointed and 7 of them are with European institutions. The associate editors are carefully selected considering their areas of expertise, diversity, and the needs on the subject areas of the journal. They are responsible for a timely, fair, comprehensive, and high-quality review process. An associate editor can be appointed up to six years, which is the maximum term limitation. Thanks to its impact factor (8.793), TNNLS is no. 3 in Computer Science Theory & Methods, and no. 3 in Computer Science-Hardware & Architecture. Last year, the journal received an amazingly large number of new manuscript submissions, that is more than 2,400.
 H. He. Editorial: Staying Healthy and Strong Together. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 32, NO. 1, JANUARY 2021, pp. 2-3