Academic Editors
The following people constitute the Editorial Board of Academic Editors for PeerJ Computer Science. These active academics are the Editors who seek peer reviewers, evaluate their responses, and make editorial decisions on each submission to the journal. Learn more about becoming an Editor.
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.
Sandra Gesing
Scientific Outreach and DEI Lead at the Discovery Partner Institute, University of Illinois Chicago
Before: Associate Research Professor (Dep. of Computer Science and Engineering and Center for Research Computing) at the University of Notre Dame, USA
Research associate in the Data-Intensive Research Group at the University of Edinburgh, UK; Research Associate in the Applied Bioinformatics Group at the University of Tübingen, Germany.
Perennial experience in industry as head of a system programmer group, project manager, system developer.
Yuan Shang
Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.
Alessandro Sebastian Podda
Alessandro Sebastian Podda is an Assistant Professor (RTDa) at the Department of Mathematics and Computer Science of the University of Cagliari. He received a master's degree in Computer Science from the University of Cagliari (cum laude) in 2014, and a PhD in Mathematics and Computer Science in 2018. He has been visiting scientist at the Laboratory of Cryptography and Industrial Mathematics of the University of Trento since 2017. In 2021, he was formally commissioned to a six month collaboration with the Ispra Joint Research Center (JRC) of the European Commission under the research tender ref. JRC/IPR/2020/VLVP/2916.
Currently, Alessandro Sebastian Podda is Research Unit Coordinator (AI for eHealth and Smart Cities) at the Artificial Intelligence and Big Data Laboratory and member of the Blockchain Laboratory. He has been also the Work Package Lead of the Doutdes and Sardcoin projects and participates/d in several research projects including AlmostAnOracle, Nomad, Safespotter, Social Glue and Mister.
To date, he has been the co-author of 15 articles in international journals in the field of computer science, 13 conference and workshop proceedings, and 1 book chapter, for which he has over 530 citations on Google Scholar and over 390 on Scopus, as well as a speaker (eg. LOD 2022, ICCSA 2021, PerAwareCity 2021, MaDaIN 2020, FACS 2015, etc.), co-chair (AISC 2021/2022) and program committee member at numerous international scientific events (eg. HT2022, LOD 2021, IEEE HPCC 2022, IEEE CPS-COM 2021, etc.).
Rajeev Agrawal
Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 100 referred journal and conference papers and 4 book chapters.
Andrea Esuli
Andrea Esuli is a researcher of the Italian National Research Council. His research interests are in the fields of multimedia information retrieval, machine learning, and text classification.
Chenghong Gu
Dr Chenghong Gu currently is a Lecturer with the Department of Electronic and Electrical Engineering, University of Bath, Bath, UK. Previously, he was EPSRC Research Fellow with the University of Bath. He received the Master’s degree from the Shanghai Jiao Tong University, Shanghai, China, in 2007 and PhD degree from the University of Bath, U.K, in 2010, both in electrical engineering. His major research interest is in the multi-vector energy system, smart grid planning and operation, power economics and markets. Dr Gu’s research has been supported by UK funding agency (EPSRC), the industry (NPG, NGC, and WPD), and the UK government (DECC). He now is the Subject Editor IET Smart Grid.
Tony Givargis
Tony Givargis is a Computer Science Professor at the University of California, Irvine (UCI) where he is currently serving as the Department Chair. From 2011 until 2016, he served as the Associate Dean for Student Affairs in the School of Information & Computer Sciences at UCI. He received his BS and PhD in Computer Science from the University of California, Riverside in 1997 and 2001, respectively. He Co-Founded a VC-backed technology startup in 2013 and has served as an expert witness in a number of high profile legal proceedings. Professor Givargis conducts research in the general area of embedded systems with an emphasis on system software, advanced compilation for targeted applications, computational storage devices, accelerators and high dimensional computing. He has authored over 120 peer reviewed papers, is a named inventor on 13 issued US patents and has co-authored two popular textbooks on embedded systems design. Professor Givargis has received numerous teaching, service and research awards, including the Frederick Emmons Terman Award, presented annually to an outstanding young electrical engineering educator by the Electrical and Computer Engineering Division of the American Society for Engineering Education.
Alberto Cano
Alberto Cano is an Associate Professor with the Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States, where he heads the High-Performance Data Mining laboratory. His research is focused on machine learning, data mining, big data, evolutionary computation, general-purpose computing on graphics processing units, and distributed computing.
Ghufran Ahmad
Ghufran Ahmad's research focuses on microeconomic theory specifically dealing with resource allocation, social choice, and matching problems. He is currently working as an Assistant Professor at NUST Business School, Pakistan.
He received his B.Sc. (Hons) in Economics from Lahore University of Management Sciences, Pakistan in 2012. After that, he joined Texas A&M University in College Station, TX, USA to pursue his Ph.D. in Economics, completing it in 2017 under the supervision of Dr. Guoqiang Tian and Dr. Vikram Manjunath.
Eyke Hüllermeier
Eyke Hüllermeier is a full professor in the Department of Computer Science at the University of Paderborn, Germany, where he heads the Intelligent Systems group. He studied mathematics and business computing, received his PhD in computer science from the University of Paderborn in 1997, and a Habilitation degree in 2002. Prior to returning to Paderborn in 2014, he held professorships at the Universities of Dortmund, Magdeburg and Marburg.
Alejandro Moreo
Alejandro Moreo received a PhD in Computer Sciences and Information Technologies from the University of Granada in 2013. He is a tenured researcher at Istituto di Scienza e Tecnologie dell’Informazione "A. Faedo", which is part of the National Research Council (CNR). His research interests include learning to quantify, deep learning, and representation learning.