Advisory Board and Editors Artificial Intelligence

Journal Factsheet
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Shaoxiong Ji

Dr. Ji completed his Ph.D. at Aalto University. During his doctoral studies, he was a visiting researcher at the University of Munich (LMU Munich, Germany) and at the Finnish Institute for Health and Welfare (THL, Finland). Following his doctoral studies, he served as a postdoctoral researcher at the University of Helsinki, working on advanced language technology, and led his own research group at the Technical University of Darmstadt as an independent research group leader.

Yaochu Jin

Professor of Computational Intelligence, University of Surrey, UK, Finland Distinguished Professor, Jyvaskyla, Finland, Changjiang Distinguished Professor, Northeastern University, China. Vice President for Technical Activities, IEEE Computational Intelligence Magazine, IEEE Distinguished Lecturer.

Zhaojie Ju

Zhaojie Ju (M'08-SM'16) received a BSc degree in automatic control and a MSc degree in intelligent robotics from the Huazhong University of Science and Technology, China. He received a Ph.D. degree in intelligent robotics from the University of Portsmouth, U.K. He held research appointments at University College London, London, U.K., before he started his independent academic position at the University of Portsmouth, in 2012. He has authored or co-authored over 200 publications in journals, book chapters, and conference proceedings, and received five Best Paper Awards, one book award, and one Best AE Award in ICRA2018. His research interests include machine intelligence, pattern recognition and their applications on human motion analysis, multi-fingered robotic hand control, human–robot interaction and collaboration, and robot skill learning.

Lydia E Kavraki

Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.

Jeffrey O Kephart

IBM Research scientist known for seminal work on computer virus epidemiology and immunology, emergent behavior of economies involving software agents, and autonomic (self-managing) computer systems. Author of over 150 refereed papers (h-index > 50) and over 30 issued patents. Led data center energy initiative resulting in multiple commercial offerings from IBM's software, systems and services divisions. Awarded IEEE Fellow for leadership and technical contributions to autonomic computing.

Bilal Khalid

Dr. Bilal Khalid received a Ph.D. in Industrial Business Administration from KMITL Business School, Bangkok, and a master’s in International Business Management from Stamford International University, Bangkok. Dr. Khalid's research interests include leadership and negotiations, digital transformations, gamification, eLearning, blockchain, big data, decarbonization, green entrepreneurial orientation, corporate social responsibility, sustainable management practices, and management of information technology. Dr. Bilal Khalid also serves as an academic editor at Journal of Computer Networks and Communication, Education Research International, and a reviewer for multiple international journals.

Muhammad Khurram Khan

Prof. Muhammad Khurram Khan is a Professor of Cybersecurity at the Center of Excellence in Information Assurance, King Saud University, Saudi Arabia. He is one of the founding members of the Center of Excellence in Information Assurance (CoEIA) and has served as Manager R&D from March 2009 until March 2012.

His research areas of interest are cybersecurity, AI security, Internet of Things (IoT) security, cloud computing security, digital authentication, multimedia security, cyber policy, and technological innovation management.

Xiangjie Kong

Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab) (http://cssclab.cn/). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences including IEEE TKDE, ACM TKDD, IEEE TNSE, IEEE TII, IEEE TITS, IEEE NETW, IEEE COMMUN MAG, IEEE TVT, IEEE IOJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, WWWJ, etc.. 5 of his papers is selected as ESI- Hot Paper (Top 1‰), and 16 papers are ESI-Highly Cited Papers (Top 1%). His research has been reported by Nature Index and other medias. He has been invited as Reviewer for numerous prestigious journals including IEEE TKDE, IEEE TMC, IEEE TNNLS, IEEE TNSE, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE NETW, IEEE TITS, TCJ, JASIST, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He has an h-index of 36 and i10-index of 87, and a total of more than 4200 citations to his work according to Google Scholar. He is named in the2019 and 2020 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 2 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.

Juan A Lara

Juan A. Lara is Associate Professor and Research Scientist at University of Córdoba, Spain. He is currently member of Department of Computer. He holds a Ph.D. in Computer Science and two Post Graduate Masters in Information Technologies and Emerging Technologies to Develop Complex Software Systems from Technical University of Madrid, Spain. He is author of more than a 40 papers published in international impact journals. His research interests in computer science include data mining, knowledge discovery in databases, data fusion, artificial intelligence and e-learning.

Yann LeCun

Director of Facebook AI Research (2013-) and Silver Professor at New York University (2003-), affiliated with: Courant Institute, Center for Data Science, Center for Neural Science, and ECE Dept. Founding director of the NYU Center for Data Science (2012-2014); Fellow,NEC Research Institute (2002-2003); Head, Image Processing Research AT&T Labs (1996-2002); Research Scientist Bell Laboratories (1988-1996).

Jens Lehmann

Dr. Jens Lehmann is a researcher at the University of Leipzig. He is co-leading the AKSW („Agile Knowledge Engineering and Semantic Web“) Group and is interested in semantic technologies, machine learning and the data web. He is working on several community research projects, including DL-Learner, DBpedia and LinkedGeoData as well as funded EU projects such as GeoKnow and Big Data Europe. He studied and worked in Leipzig, Oxford, Bristol and Dresden.

Mingda Li

Mingda completed his B.S. in Engineering Physics from Tsinghua University in 2009, and his Ph.D. in Nuclear Science and Engineering from MIT in 2015. Before joining the department as a faculty, he carried out research as a postdoc associate at Mechanical Engineering Department of MIT. His research is to study the quantum and functional properties of materials using spectroscopic methods and many-body theory, particularly interplay with materials defects.