Advisory Board and Editors Data Science
C. Titus Brown
Titus Brown received his BA in Math from Reed College in 1997, and his PhD in Developmental Biology at Caltech in 2006. He has worked in digital evolution, climate measurements, molecular and evolutionary developmental biology, and both regulatory genomics and transcriptomics. His current focus is on using novel computer science data structures and algorithms to explore big sequencing data sets from metagenomics and transcriptomics.
Licia Capra
Licia is a Reader (Associate Professor) in the Dept of Computer Science at University College London. She conducts research in the area of ubiquitous computing. Specific topics include: crowd-sourcing and crowd-sensing, urban computing, location-based services, recommender systems, data mining for development. The aim of her research is to provide developers with abstractions and algorithm to ease application development, and end users with better experiences when interacting with technology.
Reed A Cartwright
Head of Human and Comparative Genomics Laboratory in the Biodesign Institute at Arizona State University. Affiliated faculty with the Center for Evolution and Medicine, ASU.
My research is at the interface of genetics, statistics, and software development. I am primarily interested in developing statistical models to estimate evolutionary process from large, genomic datasets. Currently most of my research is connected to mutations.
Tianfeng Chai
Tianfeng Chai is an Associate Research Scientist at CICS-MD and the Department of Atmospheric & Oceanic Science, University of Maryland, College Park, Maryland, USA. He got his master and bachelor degrees from Tsinghua University in Beijing, majoring in Fluid Mechanics, Engineering Mechanics, and Environmental Engineering. He earned his Ph.D. at the University of Iowa, with his dissertation of "Four-Dimensional Variational Data Assimilation Using Lidar Data" focusing on atmospheric boundary flow. He then worked with Dr. Greg Carmichael to develop chemical transport model adjoints and computational framework for data assimilation applications before moving to working on the NOAA National Air Quality Forecast Capability (NAQFC) project in 2007. He currently works on the inverse modeling problems using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) to support several projects at NOAA Air Resources Laboratory.
Jyotismita Chaki
Jyotismita Chaki, PhD. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology (VIT University), Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Artificial Intelligence and Machine learning. She has authored and edited many international conferences, journal papers and books. Currently she is the editor of Engineering Applications of Artificial Intelligence Journal, Elsevier, academic editor of PLOS ONE journal and associate editor of Array journal, Elsevier, IET Image Processing and Machine Learning with Applications journal, Elsevier.
Prasenjit Chatterjee
Dr. Prasenjit Chatterjee is currently a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 4700 citations and 120 research papers in various international journals and peer reviewed conferences. He has authored and edited more than 25 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management and sustainability modelling.
Davide Chicco
Davide Chicco is a scientific researcher at the University of Toronto. He received his PhD. from Politecnico di Milano in 2014, and his MSc. in Computer Science from the University of Genoa, Italy in 2010. From September 2018 to January 2020 he was a researcher at the University Health Network (Toronto, Ontario, Canada). Davide Chicco's research centres on biomedical informatics and machine learning.
Stefano Cirillo
Stefano Cirillo is an Assistant Professor at the Department of Computer Science of the University of Salerno, Italy.
His research interests include Data Profiling, Data Mining, Artificial Intelligence, Data Privacy, and Social Networks, in which he has published several articles in international journals, books, and conference proceedings.
He graduated in Computer Science (cum laude) in 2018, at the Department of Computer Science of the University of Salerno. In 2022 he received the Ph.D. in Computer Science at the University of Salerno, with a Ph.D. course funded by the Programma Operativo Nazionale (PON) 2014-2020.
In 2018 he worked at the Centro Regionale Information Communication Technology (CeRICT) scrl based in Benevento, Italy, for designing, implementing, and developing an intelligent search engine for call-for-tenders in the e-procurement domain. In 2019 he was a visiting researcher at the Datonix SpA in Naples (NA), aimed at the design and development of algorithms for the extraction of profiling metadata from relational and non-relational databases. In 2020 he spent a research period at the Information Systems group of the Hasso Plattner Institute (HPI) affiliated with the University of Potsdam, Germany.
From 2022 to 2023 he was a Research Fellow at the University of Salerno for the research activity within the project "Profiling Data Streams for Anomaly Detection And Online Learning".
In 2022 he was an adjunct professor for the course of Databases, II year, for the Degree course in Computer Science at the Department of Computer Science of the University of Salerno.
Since 2023 he is an Assistant Professor at the University of Salerno for the project "Security and Rights in the CyberSpace (SERICS)".
He was Program Co-Chair of the International DMS Conference on Visualization and Visual Languages (2021) and Conference Co-Chair of the International DMS Conference on Visualization and Visual Languages (2022).
He is the Local Arrangements Chair of the international EDBT/ICDT 2024 Joint Conference and is a member of the program committee of several national and international conferences, including the International Conference On Computer, Software And Modeling (ICCSM), International Conference on Computing Science, Communication and Security (COMS2), International Conference on Big Data Computing Service and Machine (BIGDATASERVICE), International Conference on Advanced Information Science and System (AISS), International Conference on Applications and Systems of Visual Paradigms (VISUAL), International Conference on Networks, Communications and Information Technology (CNCIT), and International Conference on Big Data and Artificial Intelligence (ICBDAI).
He is an Associate Editor of the Journal Multimedia Tools and Applications (Springer) and of the Journal of Visual Language and Computing (JVLC). He is an Editorial Board Member of several international journals, including journal Data Science and Management (DSM), International Journal of Computer Science and Management, and Research Reports on Computer Science (RRCS). He was Lead Guest Editor for the Special Issue "Sentient Multimedia Systems and Universal Visual Languages" [1225] on Multimedia Tools and Applications (Springer) and Guest Editor of several Special Issues published in international journals.
He is a reviewer of several international journals, including Intelligent Systems (IEEE), Expert Systems with Applications (Elsevier), Information and Processing Management (Elsevier), Journal of Data and Information Quality (ACM), and Neural Computing and Applications (Elsevier).
Giulia Cisotto
Giulia Cisotto is an Assistant Professor (tenure-track) at the Department of Mathematics, Informatics, and Geosciences of the University of Trieste (Italy). She is an IEEE Senior member and a GRIN member. Her research activity is mainly focused on the processing and modeling of complex systems via machine learning and deep learning techniques, with particular expertise in multi-dimensional electroencephalographic (EEG) time-series. She has always been collaborating with several companies and research Hospitals to promote the impact of academic research into the Society. She is also active in the dissemination of science (as a member of the Association "La Via delle Scienze", Italy) and in the promotion of innovative teaching of science in the Academia.
Michele Clamp
Graduated from Oxford University in physics and proceeded to a physics PhD at Manchester University. Saw the light and came over to biology through protein structure prediction into genome annotation. Founded the Ensembl database alongside Ewan Birney and Tim Hubbard at the Sanger Institute. Crossed the pond to the Broad Institute where many mammals were sequenced and the human gene count trimmed of its fat. Had a short enjoyable interlude in the commercial sphere at Bioteam and is now residing at Harvard University with fingers in many pies.
Edith Cohen
Edith Cohen is (visiting) full professor at Tel Aviv University. Until 2014 she was a Principal Researcher at Microsoft Research (Silicon Valley) and between 1991 and 2012 she was at AT&T Labs. She received a Ph.D in Computer Science from Stanford University in 1991. Her research interests include algorithms, mining and analysis of massive data, optimization, and computer networking. She is a winner of the IEEE ComSoc 2007 Bennett prize, and an author of 20+ patents and 100+ publications.
Sara Comai
Prof. Sara Comai is an associate professor within the Department of Electronics and Information at the Politecnico di Milano. She received her Ph.D. in IT and automatic engineering from Politecnico di Milano in 2000.
Prof. Comai's research interests include Human activity recognition, indoor monitoring solutions, Smart environments (home, healthcare, workplace), ICT solutions for health-related Quality of Life, and Ambient Assisted Living.