Advisory Board and Editors Autonomous Systems

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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,
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Alma Y. Alanis

Alma Y. Alanis, received the Ph.D. degree in electrical engineering from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara Campus, Mexico, in 2007. Since 2008 she has been with University of Guadalajara, where she is currently a Chair Professor in the Department of Computer Science and since 2016 is dean of PhD Program of Electronic and Computer Sciences. She is also member of the Mexican National Research System (SNI-2) and member of the Mexican Academy of Sciences. She has published papers in recognized International Journals and Conferences, besides eight International Books. She is a Senior Member of the IEEE and Subject Editor of the Journal of Franklin Institute (Elsevier), IEEE/ASME Transactions on Mechatronics, IEEE Access, IEEE Latin American Transactions and Intelligent Automation & Soft Computing. In 2013 she receives the grant for women in science by L'Oreal-UNESCO-AMC-CONACYT-CONALMEX. In 2015, she receives the Research Award Marcos Moshinsky. Since 2008 she is member for the Accredited Assessors record RCEA-CONACYT, evaluating a wide range of national research projects, besides she has belonged to important project evaluation committees of national and international research projects. Her research interest centers on neural control, backstepping control, block control, and their applications to electrical machines, power systems and robotics.

Rajanikanth Aluvalu

Dr Rajanikanth Aluvalu, Associate Professor, Dept of Information Technology, Chaitanya Bharathi Institute of Technology and Science, Hyderabad, India, Vice-chair ,Entrepreneurship and Startup committee, IEEE, Hyderabad Section.
Dr.Aluvalu is conducting research in the fields of cloud computing security, big data analytics and artificial intelligence. His inventive research has resulted in instrumental contributions that are paramount to the field. Dr.Aluvalu organized international conferences such as the International Conference on Machine Learning and Soft Computing, the 11th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2019, the 9th World Congress on Nature and Biologically Inspired Computing (NaBIC 2019).

Dr.Aluvalu was the recipient of the IUCEE faculty fellow award in 2018 and Bronze level from Infosys for the year 2015 and 2016. Dr.Aluvalu has delivered sessions for audiences at various capacities and he has been a keynote speaker and author for many years.

Syed M. Anwar

Associate Professor at the Department of Software Engineering, University of Engineering and Technology, Taxila. PhD from University of Sheffield, UK and Fulbright Fellow at University of Central Florida, USA

Khursheed Aurangzeb

Dr. Khursheed Aurangzeb is Associate Professor in Department of Computer Engineering at College of Computer and Information Sciences at King Saud University (KSU), Riyadh, Saudi Arabia. He received his Ph.D. degree in Electronics Design from Mid Sweden University Sweden in June 2013, MS degree in Electrical Engineering (System on Chip Design) from Linkoping University, Sweden in 2009. He received his B.S. degree in Computer Engineering from COMSATS Institute of Information Technology Abbottabad, Pakistan in 2006. He has authored and co-authored more than 70 publications including IEEE / ACM / Springer / Hindawi / MDPI journals, and flagship conference papers. He has obtained more than fifteen years of excellent experience as instructor and researcher in data analytics, machine/deep learning, signal processing, electronics circuits/systems and embedded systems. He has been involved in many research projects as a principal investigator and a co-principal investigator. His research interest are in the diverse fields of embedded systems, computer architecture, VLSI, signal processing, wireless sensor networks, camera based sensor networks, AI/ML/DL and smart grids with an emphasis on big data, precision agriculture, machine/deep learning, embedded and pervasive computing, mobile cloud computing and healthcare.

Valentina Emilia Balas

Valentina E. Balas is currently Full Professor at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania.

She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 350 research papers. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing.
She is the Editor-in Chief to IJAIP and to IJCSysE, and is evaluator expert for national, international projects.

Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations.
She served as General Chair of SOFA conferences in nine editions organized in the interval 2005-2020 and held in Romania and Hungary.

Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker.

She is a member of EUSFLAT, member of SIAM and a Senior Member IEEE, member in TC Fuzzy Systems (IEEE CIS), chair of the Task Force 14 in TC Emergent Technologies (IEEE CIS), member in TC Soft Computing (IEEE SMCS).

Dr. Balas was past Vice-president ( Awards) of IFSA -(2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics, and recipient of the "Tudor Tanasescu" Prize from the Romanian Academy (2019).

Wolfgang Banzhaf

Wolfgang Banzhaf is the John R. Koza Chair in Genetic Programming at the Department of Computer Science and Engineering at Michigan State University and an Honorary University Research Professor at Memorial University of Newfoundland. He received a "Diplom in Physik" degree in Physics from the LMU Munich and his Dr.rer.nat (PhD) from the Dept. of Physics of the TH Karlsruhe, now KIT. After a postdoc at the U. of Stuttgart, he was a Visiting and Senior Researcher at the Central Research Lab of Mitsubishi Electric in Japan and at MERL in Cambridge, USA. From 1993 to 2003 he was Associate Professor for Applied Computer Science at TU Dortmund.

Gui-Bin Bian

Gui-Bin Bian is a Professor of Robotics, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Louise Dennis

Louise Dennis is a Senior Lecturer at the University of Manchester.

Her background is in artificial intelligence and more specifically in agent and autonomous systems and automated reasoning. She has worked on the development of several automated reasoning and theorem proving tools, most notably the Agent JPF model checker for BDI agent languages; the lambda-clam proof planning system (also archived at the Theorem Prover Museum); and the PROSPER Toolkit for integrating an interactive theorem prover (HOL) with automated reasoning tools (such as SAT solvers) and Case/CAD tools. More recently she has investigated rational agent programming languages and architectures for autonomous systems, with a particular emphasis on verifiable systems and ethical reasoning.

Markus Endler

Markus Endler obtained his Dr. rer. nat. in Computer Science from the Technical University of Berlin (1992), and the Professor Livre-docente title (Habilitation) from the University of São Paulo (2001). From 1989 to 1993 he worked as a researcher at the GMD Research Institute Karlsruhe (Germany), and from 1994 to 2000 as an Assistant Professor at the Institute of Mathematics and Statistics of the University of São Paulo (USP). In 2001 he joined the Department of Informatics of the Pontifícia Universidade Católica in Rio de Janeiro (PUC-Rio), where he is currently Associate Professor. His main research interests include Mobile and Pervasive Computing, IoT Middleware Architectures. Distributed Algorithms for Cooperation and Consensus, Online Data Analytics, and Data Stream Processing. As of 2020, he has supervised 13 PhD thesis and 30+ M.Sc. dissertations.

Zhiwei Gao

Dr. Gao joined Northumbria University in 2011. His research interests include machine learning, data-driven approaches, intelligent optimisation and their applications in complex systems, wind energy systems and healthcare systems.

Jeonghwan Gwak

Dr. Jeonghwan Gwak received his Ph.D. degree in Machine Learning and Artificial Intelligence from Gwangju Institute of Science and Technology, Gwangju, Korea in 2014. From 2002 to 2007, he worked for several companies and research institutes as a Researcher and a chief technician. From 2014 to 2016, he worked as a Postdoctoral Researcher in GIST, and from 2016 to 2017 as a Research Professor. From 2017 to 2019, he was a Research Professor in Biomedical Research Institute & Department of Radiology at Seoul National University Hospital, Seoul, Korea. From 2019, he joined Korea National University of Transportation (KNUT) as an Assistant Professor and since 2021, he is an Associate Professor. He is the Director of the Algorithmic Machine Intelligence laboratory. His current research interests include deep learning, computer vision, image and video processing, AIoT, fuzzy sets and systems, evolutionary algorithms, optimization, and relevant applications of medical and visual surveillance systems.

Ernst Moritz Hahn

I am assistant professor at the University of Twente in the group FMT working in probabilistic model checking. Previously Lecturer at Queen's University Belfast, Marie-Curie fellow at University of Liverpool, associate professor at Institute of Software, Chinese Academy of Sciences, PostDoc at University of Oxford, PhD at Saarland University.