Advisory Board and Editors Data Mining & Machine Learning
Marco Cavalli
Marco Cavalli obtained the PhD in Environmental Watershed Management in 2009 at the TeSAF (University of Padova) with a thesis on "Hydrological and morphological characterization of mountain basins by means of airborne LiDAR technology”. Since 2009 Marco Cavalli is Researcher at CNR-IRPI of Padova. His research interests include: Geomorphometry, Airborne Laser Scanning technology (LiDAR) and high-resolution DTMs applications, Geomorphic processes in mountain catchments, Post Flash flood investigation, analysis of historical information, GIS and surface hydrology. Currently, his main interest is related to sediment connectivity assessment through geomorphometric approaches.
He is\was scientific responsible or coordinator of CNR IRPI in several National and European projects (SedAlp, GESTO, Gadria Project, KINOFLOW). Since 2011 he is teaching a course for PhD and post doc researchers entitled 'Geomorphometry: quantitative analysis of earth surface' at the University of Padova. He is\was supervisor of three research grants at CNR IRPI, co-advisor of two PhD and several B.S. and M.S. theses of the University of Padova, Udine, Wageningen, Stockholm on geomorphology and hydrology fields. He is author and co-author of more than 50 papers in international journals.
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.
Li Chen
I am a tenure-track Assistant Professor of Biostatistics and a member in Center for Computational Biology and Bioinformatics at Indiana University School of Medicine. I received a MS in Biostatistics and another MS in Computer Science from the Johns Hopkins University, and PhD in Computer Science and Informatics from Emory University. I also interned in CareerBuilder Data Science and Amazon Machine Learning.
Hao Chen
Dr. Chen's group uses behavioral genetics methods to study addiction related traits. The main behavioral models are intravenous nicotine self-administration and oral oxycodone self-administration in rats. Another area of focus is the identification of genomic variants in inbred strains of rats. A third area of research is the design of open source instruments and software for measuring rat behavior.
Aswani Kumar Cherukuri
Dr. Aswani Kumar Cherukuri is a Professor at Vellore Institute of Technology (VIT), India. His research interests include information security and machine learning. Aswani Kumar earned the Young Scientist Fellowship from Tamilnadu State Council for Science and Technology and was awarded the Inspiring Teacher Award from The Indian Express (India’s leading English daily newspaper). He has worked on various research projects funded by the Government of India’s Department of Science and Technology, the Department of Atomic Energy, and the Ministry of Human Resources Development. Aswani Kumar has published more than 150 refereed research articles in various national/international journals and conferences and is an editorial board member for several international journals. He is a Senior Member and distinguished speaker of the Association for Computing Machinery (ACM), a member of the Institute of Electrical and Electronics Engineers (IEEE), and Vice-Chair of the IEEE Taskforce on Educational Data Mining. Aswani Kumar earned a PhD in informational retrieval, data mining, and soft-computing techniques from VIT.
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.
Vincent A Cicirello
Dr. Vincent A. Cicirello is a Professor and Chair of Computer Science at Stockton University. He is also among the founding faculty of Stockton University's interdisciplinary Behavioral Neuroscience program. Dr. Cicirello earned his Ph.D. in Robotics from Carnegie Mellon University in 2003, and his M.S./B.S. in Computer Science and B.S. in Mathematics from Drexel University in 1999. His research interests include artificial intelligence, evolutionary computation, algorithms, machine learning, and computational intelligence. Dr. Cicirello is an ACM Senior Member, IEEE Senior Member, AAAI Life Member, and a member of SIAM.
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.
Daniele Filippo Condorelli
Degrees M.D.: University of Catania (Italy), 1974-1980. Specialist in Neurology: University of Catania, 1980-1984. Ph.D. in Medical Biochemistry and Biology: University of Bari and Catania, 1984-1986.
Professional positions: 2001- today: Full professor of Biochemistry, School of Medicine, University of Catania; 1988-2000: Associate Professor of Biochemistry, University of Catania;. 2005-2009: Director of the School of Clinical Biochemistry; 2007-2013 coordinator of the PhD School in Translational Biomedicine.
Scientific publications.
1981-2018: 134 scientific papers in international peer-reviewed journal and 25 book chapters. Citations (years 1985-2018): 4612; without self-citations: 4367 (Web of Science, ISI); h-index 40
Research training abroad: 1983: Research associate at the MRC Developmental Neurobiology Unit. London (Dir.: Prof. R. Balazs); 1989-1990: Research associate at the Neurobiochemistry Group of the Mental Retardation Center, UCLA, Los Angeles (Dir.: Prof J. De Vellis)
Research interests: Neurotransmitter and neurotrophin receptors in glial cells; structure and expression of the glial fibrillary acidic gene; molecular biology of neuronal connexins; Experimental therapy of glioma tumors; Cancer genomics; Transcriptomics.
Council of International Scientific Societies:
2000-2004: elected member of the Council of the International Society for Developmental Neuroscience. 2007-2011: elected member of the Council of the International Society for Neurochemistry.
Fabio Cumbo
Fabio Cumbo is a Postdoctoral Researcher at the Center for Computational Life Sciences of the Cleveland Clinic's Lerner Research Institute in Cleveland, OH.
He received his Ph.D. in Computer Science and Automation Engineering from the University of Roma Tre in 2019, and his BSc. and MSc. in Software Engineering from the same University in 2012 and 2014 respectively. From November 2018 to December 2021 he was a Postdoctoral Researcher at the Department of Cellular, Computational and Integrative Biology (CIBIO) of the University of Trento, Italy. Fabio
Cumbo's research mainly focuses on Bioinformatics, Metagenomics, Machine Learning, and Hyperdimensional Computing.