UCL Electronic and Electrical Engineering (EEE) are pleased to announce that Dr Adnan Mehonic, EEE Lecturer and Royal Academy of Engineering (RAEng) research fellow, has been appointed as the founding editor-in-chief of AIP Publishing’s new open access scientific journal, APL Machine Learning.
Adnan will bring 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.
On being appointed, Adnan stated:
There are two natural ways to connect machine learning, or more broadly, AI and applied physical science. The first involves applying ML techniques to physical systems to accelerate scientific discovery, leading to new insights in materials science, engineering, chemistry, biology, and applied physics. The second is to use domain knowledge from these disciplines to develop more efficient and more functional AI systems. I am thrilled to lead APL Machine Learning, which will capture both approaches to serve researchers working in all facets of AI and ML.
About AIP Publishing
AIP Publishing's mission is to advance, promote, and serve the physical sciences for the benefit of humanity by breaking barriers to open, equitable research communication and empowering researchers to accelerate global progress. AIP Publishing is a wholly owned not-for-profit subsidiary of the American Institute of Physics (AIP) and supports the charitable, scientific, and educational purposes of AIP through scholarly publishing activities on its behalf and on behalf of our publishing partners.
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