Advisory Board and Editors Robotics

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.
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Hazrat Ali

Hazrat Ali is a researcher in Artificial Intelligence and Healthcare. He served as an Assistant Professor at Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad. His research interests lie in unsupervised learning, generative and discriminative approaches, medical imaging and speech and image processing. He has published more than 50 research articles in peer-reviewed journals and conferences. He is an Associate Editor at IEEE and served as a reviewer at many journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, IET Signal Processing, Springer Neural Processing Letters, ACM Transactions on Asian and Low Resource Language Information Processing, Elsevier Computers and Electrical Engineering, ACL 2020, MICCAI 2020. He was selected as young researcher at the 5th Heidelberg Laureate Forum, Heidelberg, Germany. He was selected as a fellow of the DAAD AI-Networking Fellowship Tour 2021.

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. She is the recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019) and “Stefan Odobleja” Prize from Romanian Academy of Scientists (2023).

Gui-Bin Bian

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

Mauro Birattari

A Research Director of the Belgian Fonds de la Recherche Scientifique—FNRS at IRIDIA, Université libre de Bruxelles.

Dr. Birattari co-authored more than 100 peer-reviewed scientific publications in the field of computational intelligence. His research interests focus on swarm intelligence, collective robotics, machine learning, and on the application of artificial intelligence techniques to the automatic design of algorithms.

Paulo Jorge Coelho

Paulo Coelho graduated in Electrical Engineering in 2004 from Coimbra University, obtained his Specialization Course in Automation and Control in 2007 by Coimbra University, and a Ph.D. in Informatics in 2019 by Trás-Os-Montes and Alto Douro University.

He is an Adjunct Professor at the Electrical Engineering Department at the School of Technology and Management of the Polytechnic of Leiria, where he has mainly lectured Curricular Units in the areas of Microprocessors, Industrial Automation and Computer Vision since 2004.

Paulo Coelho is currently a Member of the Scientific-Pedagogical Committee for the Master's in Electrical and Electronic Engineering at Polytechnic of Leiria, and he was previously the course director. He is currently an integrated researcher at ROBiTECH (Advanced Robotics and Smart Factories) group, in the INESC Coimbra (delegation in Leiria). He is also a member of the Portuguese Engineers Order.

His research interests are focused on industrial automation, computer vision, biomedical imaging analysis, and the application of machine learning and deep learning in their research areas.

Lynn Conway

Professor Emerita of Electrical Engineering & Computer Science, University of Michigan. Architect and principal author of the landmark 'Mead-Conway' text, "Introduction to VLSI Systems". Pioneering innovator of the digital e-commerce "fabless-design + silicon-foundry" microelectronics ecosystem. Elected Fellow, IEEE. Elected Member, NAE. Hon. Degrees, Trinity College and Illinois Institute of Technology. Wetherill Medal, Franklin Institute. James Clerk Maxwell Medal, IEEE.

Robertas Damaševičius

ROBERTAS DAMAŠEVIČIUS received his Ph.D. in Informatics Engineering from Kaunas University of Technology (Lithuania) in 2005. His research interests include sustainable software engineering, human–computer interfaces, assisted living, data mining and machine learning. He is the author of over 300 papers as well as a monograph published by Springer. He is also the Editor-in-Chief of the Information Technology and Control journal and has been the Guest Editor of several invited issues of international journals (Biomed Research International, Computational Intelligence and Neuroscience, Journal of Healthcare Engineering, IEEE Access, and Electronics). Visit his ResearchGate profile: https://www.researchgate.net/profile/Robertas_Damasevicius

Peter Denning

Distinguished professor of computer science at Naval Postgraduate School. Past president of ACM. Past editor in chief of Communications of ACM. Currently editor of ACM Ubiquity. Author of ten books, most recent Great Principles of Computing (MIT Press 2015). Author of over four hundred scientific papers and articles.

Juan Pedro Dominguez-Morales

Prof. Juan Pedro Dominguez-Morales was born in Sevilla (Sevilla, Spain) in 1992. He received the B.S. degree in computer engineering, the M.S. degree in computer engineering and networks, and the Ph.D. degree in computer engineering (specializing in neuromorphic audio processing and spiking neural networks) from the University of Seville, in 2014, 2015 and 2018, respectively. His Ph.D. was granted with a research grant from the Spanish Ministry of Education and Science. Since January 2019, he has been working as Assistant Professor in the same university. He is member of the Robotics and Technology of Computers Lab since 2015. His research interests include neuromorphic engineering, spiking neural networks, audio processing and deep learning. He has been an IEEE member for four years.

Cornelia Fermuller

Cornelia Fermüller’s research is in the areas of Computer Vision and Human Vision. She has studied multiple view geometry and statistics, and her work includes view-invariant texture descriptors, 3D motion and shape estimation, image segmentation, and computational explanations and predictions of optical illusions. Her recent work focuses on the integration of perception, action and high-level reasoning to develop cognitive robots that can understand and learn human manipulation actions.

Simone Fontana

Prof. Simone Fontana is an assistant professor at Università degli Studi di Milano - Bicocca.

His main research activity is in the field of 3D robot perception, with special attention to point clouds registration, a problem for which he has developed a benchmark. More recently, Dr. Fontana's research has focused on the use of informatics techniques for neuropsicology and neuroscience.

He is a co-investigator of the DriveWin project, which aims to investigate the effects of different types of non-invasive neurostimulation on attention while driving. Attention was assessed on a driving simulator and two age groups were compared.

Prof. Fontana is also a lecturer at the School of Law and at the Advanced Specialization School in Neuropsychology.

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.