The strength of a publication is in the dedication and expertise of its editorial team.
— Academic Publishing Wisdom
Alessandro N. Vargas is a full Professor at UTFPR, Brazil. Since 2023 he has been a research scientist in the Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA. He got his Ph.D. in Electrical Engineering at the University of Campinas (UNICAMP), Brazil. He spent a year as a Postdoctoral Researcher at Universitat Politècnica de Catalunya-BarcelonaTech, Spain, from 2014 to 2015. He has served as a Visiting Professor at Arizona State University (ASU), USA, and a Visiting Professor at the Politecnico di Milano (Polimi), Italy. He is currently serving as Associate Editor of IEEE/ASME Transactions on Mechatronics and the International Journal of Systems Science (Taylor and Francis). He is a former Editor of the Journal of The Franklin Institute (Elsevier) and IET Signal Processing (Wiley). His main research includes Control Systems, Electronics, and Mechatronics.
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Prof. Leonardo Acho is an Agregat Professor at the Polytechnic University of Catalonia (UPC) with a Ph.D. in Electronics and Telecommunications specializing in Automatic Control (2001). A recognized expert in control systems, his research bridges theory and application in dynamic systems, nonlinear control, and signal processing. At UPC, Prof. Acho teaches both undergraduate and graduate programs, connecting theoretical concepts with practical engineering challenges. His extensive publications in peer-reviewed journals have advanced knowledge in robust control systems, vibration control, and engineering applications of chaos theory. Prof. Acho collaborates internationally and maintains strong industry partnerships, developing practical solutions for contemporary challenges in automation and control engineering.
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Dr. Gisela's research career began with a pre-doctoral training at ONERA/CERT in Toulouse, France, collaborating with Professor Apkarian on robust interconnected systems research, specifically investigating Linear Matrix Inequalities techniques for characterizing systems under uncertainties and nonlinear dynamics. She earned her PhD in Mathematics from the Polytechnic University of Catalonia and subsequently joined the CodaLab research group. CodaLab gathers 20 research members with over 300 publications and 5 patents, a group recognized with the prestigious SGR distinction (Recognized Research Group) from the Generalitat of Catalonia for four consecutive years. Dr. Gisela's academic publication record includes 35 articles in JCR-indexed journals (15 in the first quartile) and more than 55 presentations at international conferences. Dr. Gisela has participated continuously in 9 competitive projects funded by the National R+D+I Plan and 3 projects financed by the Generalitat of Catalonia. She has been recognized with 3 six-year research periods by AQU (Catalan University Quality Agency), with the most recent awarded in 2021. Since 2020, Dr. Gisela has directed the Labtech laboratory at ESEIAAT/UPC. In collaboration with Dr. Leonardo Acho, she has designed and implemented numerous experimental platforms, publishing results in high-impact journals. They received funding for developing a low-cost pulmonary ventilation prototype with Raspberry-Pi during the COVID-19 pandemic, resulting in an award-winning publication in MDPI-Actuators. Dr. Gisela's research focuses primarily on control theory applications, investigating systems with delays, failures, and uncertainties through both theoretical development and experimental validation. She has published six articles in Q1 and Q2 journals specifically addressing fault detection strategies and has established significant contributions to the field through her editorial work with multiple JCR journals in control engineering.
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Joseph Alia is an associate professor of chemistry at University of Minnesota, Morris. He completed his Ph.D. in theoretical chemistry at Yale University in 1995 and has research interests in theoretical and computational chemistry. His publications in applied quantum chemistry are relevant to understanding the pharmacokinetic properties of antimalarial drugs, the spectroscopic properties including vibrational fine structure of various dyes and chromophores, relevance of intramolecular H-bonding to selectivity of organometallic reactions, and in bridging the gap between the current pictorial language of chemical structural formulas, the mathematical formalism of quantum chemistry, and numerical results of quantum chemical computation in a way that enhances chemical understanding.
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Javad Khazaei is an Assistant Professor in the Department of Electrical and Computer Engineering at Lehigh University and the Director of the INTEGrated, Resilient, and Intelligent EnergY Systems (INTEGRITY) Laboratory. Prior to joining Lehigh, he served as an Assistant Professor at Penn State Harrisburg from 2016 to 2021 and held an affiliated appointment with the Architectural Engineering Department at Penn State University Park. He earned a Ph.D. in Electrical Engineering (Power and Energy) from the University of South Florida (USF) in 2016. His research interests include smart grid dynamics and control, data-driven model identification and control in power systems, water-energy microgrids, smart grid cybersecurity, and the integration of renewable energy into cyber-physical power systems.
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Dr. Eric M. Lui is Laura J. and L. Douglas Meredith Professor of Teaching Excellence in the Department of Civil and Environmental Engineering at Syracuse University, New York, USA. Dr. Lui received his B.S. degree in Civil and Environmental Engineering with high honors from the University of Wisconsin at Madison, Wisconsin; and his M.S. and Ph.D. degrees in Civil Engineering (with an emphasis on Structural Engineering) from Purdue University, Indiana. Dr. Lui's current research interests are in the areas of structural stability, structural dynamics, earthquake engineering, engineering materials, numerical modeling, and analysis and design of buildings and bridges. He has co-authored/co-edited five books on the subjects of steel design, structural stability, and earthquake engineering. He is also the author/coauthor of numerous journal articles, conference proceedings, special publications and research reports in these areas. In addition, he is a contributing author to a number of engineering monographs and technical handbooks, and serves as editor-in-chief, editorial board member and reviewer of a number of engineering and scientific journals.
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Alexander Trifonov is a researcher at Roche Diagnostics, Germany. He obtained his Ph.D. in Engineering from ETH Zurich in 2020. He spent 1.5 years as a Postdoctoral Researcher at the University of California, San Diego (UC San Diego), followed by two years in the International Postdoctoral Program at Roche Diagnostics. His main areas of expertise include electrochemical biosensors, continuous monitoring technologies, and wearable energy harvesting devices.
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Chief Specialist, Ph.D. degree in Electrical Engineering, expertise in interdisciplinary research on AI and applications in the fields of healthcare, building automation, and renewable energy, focusing on data mining, machine learning, optimization, robotics, signal processing, control, and industrial electronics, over 20 years of teaching and research experiences.
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Nicolas P. Rougier [1] is a research director at Inria [2], France. He is working in the Institute of Neurodegenerative Diseases [3] in Bordeaux where he leads the computational neuroscience team that investigates decision making, learning and cognition. Beside neuroscience, Nicolas P. Rougier has a strong expertise in scientific visualization [4], software development [5] and reproducibility [6].
[1]: https://www.labri.fr/perso/nrougier/
[2]: https://www.inria.fr/en
[3]: https://www.imn-bordeaux.org/en/
[4]: https://www.labri.fr/perso/nrougier/scientific-visualization.html
[5]: https://github.com/rougier
[6]: https://rescience.github.io
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Dr. Fernando Marmolejo-Ramos is an academic at Flinders University’s College of Education, Psychology, and Social Work in Australia. He earned his Master of Applied Science in cognitive psychology from the University of Ballarat (2005–2007) and later completed his PhD in experimental psychology at the University of Adelaide (2007–2011). Between 2014 and 2016, he served as a postdoctoral research fellow at Stockholm University's Department of Psychology. Subsequently, he worked as a human-artificial cognition research fellow at the University of South Australia's Center for Change and Complexity in Learning. His research expertise spans embodied cognition, applied statistics and methodology, and human-machine/AI interactions. Website: https://sites.google.com/view/fernando-marmolejo-ramos
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