APL Machine Learning will feature research addressing how machine learning (ML) and artificial intelligence (AI) can aid physicists, material scientists, engineers, chemists, and biologists in advancing scientific discovery — and how insights from these disciplines can pave the way for the development of better AI systems.
Adnan Mehonic, an assistant professor and Royal Academy of Engineering Research fellow at the University College London (UCL), will lead the journal as its editor-in-chief when it begins accepting submissions in mid-2022 with a target to publish in January 2023.
Mehonic brings a wealth of knowledge in machine learning and novel hardware technologies for AI. He has authored more than 100 journal publications and international conference proceedings on memristive materials and devices as well as neuromorphic and energy-efficient AI technologies. He is a recipient of multiple awards, including the MIT Technology Review’s “35 Innovators under 35,” Wiley’s Advanced Science “Rising Star,” and “One to Watch” award for UCL’s most innovative and entrepreneurial staff.
Mehonic will build a diverse, highly motivated, and experienced editorial team with complementing expertise to establish APL Machine Learning as a leading journal that will provide a unique platform for disseminating vibrant and timely research. The journal will waive article processing charges (APCs) in the first year of publication.Click here to read the original press release.