Chintan Amrit is Associate Professor at the Department of Operations Management, at the University of Amsterdam. He has completed his PhD from the University of Twente in the area of Coordination in Software Development, having started it at RSM Erasmus University. He holds a master’s degree in Computer Science from Indian Institute of Science, Bangalore. In the past, he has worked for a period of three years as a software engineer. His research interests are in the area of business intelligence (using machine learning), open-source development and mining software repositories. His work has been accepted in venues such as Journal of Information Technology, Information and Software Technology, International Journal of Production Research, Social Science Computer Review, Information Systems Management, Journal of Systems and Software, IT Professional, Journal of Software Evolution and Process, Environmental Modelling & Software among others. He serves as a coordinating editor of Information Systems Frontiers journal, an associate editor of IEEE Access, and is a regular track chair at ECIS.
Li-minn Ang is currently the Professor of Electrical and Computer Engineering at the School of Science and Engineering at University of the Sunshine Coast (USC). His research interests are in computer, electrical and systems engineering including Internet of Things (IoT), intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, and health.
I received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.
Since 2003 I have worked as a researcher in the field of software engineering writing more than 60 papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering, and re-engineering, with a particular interest in software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as a reviewer of papers submitted to some of the main journals and magazines in the field of data and process mining, software engineering, software maintenance, program comprehension, and the application of computational intelligence approaches in the above fields.
Currently, I am an Assistant Professor at Giustino Fortunato University, holding the courses of "Foundations of Computer Science" and "Software Systems and Services" for the Avionics Science and Technologies master degree.
Christian Bird is a researcher in the empirical software engineering group at Microsoft Research. Christian received B.S. from BYU and his Ph.D. from U.C. Davis.
Olga De Troyer has a Masters degree in Mathematics and a Ph.D. in Computer Sciences. She has held research positions in industry and at universities. Since 1998 she is professor in the Computer Science Department of the Vrije Universiteit Brussel (Belgium) where she is co-director of the WISE research lab. Her research focus is on conceptual modeling formalisms and design methodologies. Over the years, the focus has moved from Database over Web systems towards Virtual Reality and Serious Games.
She received the M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Spain, in 1994 and 1999, respectively.
She is an Associate Professor with the Department of Computer Science, University of Jaén, Spain.
Her current research interests include evolutionary fuzzy systems, subgroup discovery, data preparation, neural networks, knowledge extraction based on evolutionary algorithms, and data science.
Director of the Intelligent Systems and Data Mining Research Group.
Tampere University of Technology. Head of the Predictive Medicine and Data Analytics Laboratory.
Professor of Computer Science at the University of Waikato in Hamilton, New Zealand; Co-author of the WEKA machine learning software and a companion textbook on machine learning techniques for data mining; Recipient, jointly with Ian Witten and the WEKA team, of the 2005 ACM SIGKDD Service Award.
Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. He has supervised 200+ Masters' dissertations, 2 DBA and 2 PhD thesis and published 120+ high impact publications in refereed journals/conferences/books, five edited books and 20 patents. He has delivered several keynote speeches, organized/chaired international conferences, and consulted numerous public and private organizations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, Internet of Things (IoT), information systems, management science and their applications mainly in healthcare and medical domains. He participates in many EU, and local funded projects, including a one million euros Erasmus+ Capacity-Building project in Higher Education (CBHE) titled Training for Medical education via innovative eTechnology (MediTec). The University of Malta has awarded him the 2021-22 Research Excellence Fund for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare).
Lynda Hardman obtained her PhD from the University of Amsterdam in 1998, having graduated in Mathematics and Physics from Glasgow University in 1982. She was the development manager for Guide, the first hypertext authoring system for personal computers (1986). Her work on modelling hypermedia documents heavily influenced the first World Wide Web Consortium Synchronized Multimedia Integration Language recommendation.
She is the European director of LIAMA (http://liama.ia.ac.cn), a research collaboration since 1997 between INRIA (France), CWI and the Chinese Academy of Sciences.
She is the director of Amsterdam Data Science (http://amsterdamdatascience.nl), a partner organization whose mission is to strengthen the Data Science and AI ecosystem that spans academia, industry and society in the Amsterdam region.
She was the president of Informatics Europe (2016-2017) (http://www.informatics-europe.org/), a European association of computer science departments to foster the development of quality research and teaching in computer science within Europe.
She was named ACM Distinguished Scientist in 2014 and is a Fellow of the Bristish Computer Society.
As co-founder of the HUPO Proteomics Standards Initiative (PSI), Henning Hermjakob contributed to the development of a broad range of community data representation standards for proteomics and interactomics. Based on the trust and collaborative spirit built up in the development of data representation standards, he coordinated the next step, the intensive collaboration of proteomics and interactomics data resources globally in the IMEx  and ProteomeXchange  consortia, providing infrastructure support for the move towards an open data culture in proteomics. Building on his experience in interactomics, he is now co-PI of the Reactome Pathways database  and the BioModels resource of systems biology models . Current research interests comprise distributed data resources (http://omicsdi.org) and complex data visualisation.
1. Fabregat A, et al. The Reactome pathway Knowledgebase. Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7.
2. Chelliah V, et al. BioModels: ten-year anniversary. Nucleic Acids Res. 2015 Jan;43 (Database issue):D542-8.
3. Orchard S, et al. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nat Methods. 2012 Mar 27;9(4):345-350.
4. Vizcaíno JA, et al. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat Biotechnol. 2014 Mar 10;32(3):223-6.
5. Lander ES, et al. Initial sequencing and analysis of the human genome.
Nature. 2001 Feb 15;409(6822):860-921.
My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.