Deep Learning for NIR Chemometrics

Third SENSORFINT International Workshop

Harald Martens has a MSc (1971) in industrial biochemistry and Dr.techn. (1985) in chemometrics, both from the Norwegian University of Science and Technology (NTNU), Trondheim Norway. He has worked in method development and practical applications of multivariate calibration, diffuse spectroscopy, video compression, process monitoring, remote sensing and other disciplines, in universities and companies in Europe, USA, Africa and Asia. He is currently a retired professor from the Big Data Cybernetics at the Dept. of engineering cybernetics, NTNU and works part time for companies Idletechs AS and NatMat AS, focusing on integrative method development for industrial and environmental data interpretation.

Marina Cocchi is at present Full Professor of Analytical Chemistry at University of Modena and Reggio Emilia. She got the PhD degree in Chemical Sciences in 1992 at the same University. She has published more than 100 papers in international journals and books (H-ind 31, 2993 cit., Scopus) covering a range of topics embracing Multivariate, Multi-way and Multiset methods; Data Fusion; 2D WT in Multivariate Images Analysis for fault detection and patern recognition; algorithms for features selection in Wavelet Domain; MSPC; Food Authenticity; Chemical fingerprinting by spectroscopy (MIR, NIR, NMR) and chromatography. She has been in the board of Italian Chemometrics Group from 2001 to 2015, acting as President in 2007-11. Since 2010 she has been member of the editorial board of Chemometrics and Intelligent Laboratory Systems. She has been Editor of the book Data Fusion: Methods and Applications, Data Handling in Science and Technology series, vol.31, Elsevier 2019.

Kristian H. Liland is an Associate Professor at the Department of Mechanical engineering and technology management at the Norwegian University of Life Sciences. He received the Ph.D. degree in applied statistics in 2010 and his current research interests include multivariate statistics and machine learning. He is involved in a broad spectrum of projects ranging from theoretical to applied and often with an emphasis on scientific programming.

Federico Marini, is a Full Professor at the Chemistry Department of the Sapienza University of Rome. He received his MSc from Sapienza University of Rome in 2000 where he also completed his PhD in 2004. In 2006, he was awarded the Young Researcher Prize from Italian Chemical Society and in 2012 he won the Chemometrics and Intelligent Laboratory Systems Award for “his achievements in chemometrics”. He has been visiting researcher in various Universities (Copenhagen, Stellenbosch, Silesia, Lille) and research institutes (National Institute of Chemistry, Slovenia; Nofima, Norway; Irstea, France). His research activity is focused on all aspects of chemometrics, ranging from the application of existing methods to real world problems in different fields to the design and development of novel algorithms. He is member of the Editorial boards of Chemometrics and Intelligent Laboratory Systems, Analytica Chimica Acta, J. of Chemometrics, J. of NIR Spectroscopy, J. of Spectral Imaging and he serves as Associate Editor for Chemometrics in Wileys Encyclopedia of Analytical Chemistry. He is the past-coordinator of the Chemometric group of the Italian Chemical Society, and currently the vice-president of Italian NIR society and the coordinator of the Chemometric study group of EUCheMS.

Lola Pérez-Marín is a Full Professor of the Faculty of Agriculture and Forestry Engineering (ETSIAM, University of Cordoba, Spain). PhD in Agriculture Engineering (UCO). She is a worldwide recognized expert in the used of NIRS sensors and new technologies applied to feed and food integrity, covering both fundamental and applied research. This research has resulted in well over 250 publications; with 143 of these being peer-reviewed papers in top quality journals (H index 32). She is currently the President-elect of ICNIRS (International Council on Near Infrared Spectroscopy) and President of its Educational Committee. Associate editor of the Journal of NIRS. Member of the International Scientific Advisory Board of the Institute for Global Food Security - Queens University (UK). Recipient of the Thomas Hirschfeld Award 2014 and G. Birth Award 2020. She is the Chair of SensorFINT Cost Action.

Tom Fearn is Emeritus Professor of Statistical Science in the Department of Statistical Science at UCL, London. His main research area is chemometrics, and in particular its applications to quantitative calibration and classification problems in NIR spectroscopy.  He received the Hirschfeld award for contributions to NIRS in 2001 and is Immediate Past President of the International Council for Near Infrared Spectroscopy.

Hugo Penedones has a degree in Informatics and Computing Engineering from the Univ. of Porto (PT) and is a Machine Learning research engineer who has worked in computer vision, search, bioinformatics and reinforcement learning, at places such as the Idiap Research Institute and EPFL (both in Switzerland), Microsoft and Google DeepMind (London, UK). He has a particular interest in the applications of Deep Learning to fundamental sciences and engineering and he is the co-founder and CTO at Inductiva Research Labs.

Dário Passos is a researcher at CEOT (University of Algarve, Faro) with an interest in the development of Deep Learning architectures for NIR spectroscopic analyis and Chemometric tasks. He graduated in Eng. Physics at the Univ. of Algarve (2003) and did a PhD in Astrophysics at the Insituto Superior Técnico (Lisbon, 2010). He has a background research in Solar Physics, Physics simulations and Data Analisys. Since 2018 he has been working in NIR spectroscopy of biological samples and Deep Learning for NIR Chemometrics.