World Congress on Biosensors 2014

World Congress on Biosensors 2014
Biosensors 2014

Wednesday, 18 July 2012

2012 Chemometrics and Intelligent Laboratory Systems Award

The 2012 Chemometrics and Intelligent Laboratory Systems Award was delivered during the celebration of the Chemometrics in Analytical Chemistry meeting (in Budapest, 24-29 June, 2012), to Dr, Bahram Hemmateenejad  and to Dr. Federico Marini for their contributions to the development of chemometrics in the last 5 years. The awardees were chosen by a selected committee of leading international scientists in the field of chemometrics based on their scientific papers and other contributions to the field of chemometrics.
 Brief cv synopsis of the awardees

Dr, Bahram Hemmateenejad,

Dr. Hemmateenejad is an Associate Professor in the Chemistry Department of the  Shiraz University in Shiraz, Iran since 2007. In 2011, he was a visiting Professor at Max Planck Institute of Colloids and Interfaces, Potsdam, Germany. He has contributed significantly to the development of Chemometrics in Iran and he has already been the mentor of numerous MSc and PhD students in this country. He has published more than 130 peer-reviewed papers in different journals.  He has been working on the application of genetic algorithms and correlation ranking for factor selection in PCR and PC-ANN. In his more recent works,  has been on developing combined data splitting-feature selection strategies and segmented principal component analysis and regression methods. He has applied them to QSA/QSPR studies. In addition, he has been working in a new hard-soft modeling method (HS-NAS) which can be applied to kinetic and equilibrium studies. His recent work on multivariate image analysis-thin layer chromatography is also of especial interest. Finally, he has been working in the possible application of chemometrics methods into nanosciences and nanomaterials.

B. Hemmateenejad, S. Karimi, Construction of Stable Multivariate Calibration Models by using Unsupervised Segmented Principal Component Regression. Journal of Chemometrics, 25 (2011) 139-150.
B. Hemmateenejad, G. Absalan, M. Nekoeinia, F. Esfandiari, Estimating the Rate Constant in Second-Order Kinetics Using Multivariate Curve Resolution-Net Analyte Signal (MCR-NAS) Method. Chemometrics and Intelligent Laboratory Systems, 102 (2010) 35-44.
B. Hemmateenejad, N. Mobaraki, F. Shakerizadeh-Shirazi, R. Miri, Multivariate Image Analysis-Thin Layer Chromatography (MIA-TLC) for Simultaneous Determination of co-Eluting Components. Analyst, 135 (2010) 1747-1758.
B. Hemmateenejad, M. Reza Hormozi Nezhad, Investigating the Shape Evolution Mechanism of the CdSe Quantum Dots by Chemometrics Analysis of the Spectrophotometric Data. Journal of Physical Chemistry C, 112 (2008) 18321-18324.
B. Hemmateenejad, Correlation ranking procedure for factor selection in PC-ANN and application to QSAR study of carcinogenic activity of some organic solvents. Chemometrics and Intelligent Laboratory System, 75 (2005) 231-245.

Dr. Federico Marini,

Dr. Federico Marini is a researcher in the Department of Chemistry of the University of Rome "La Sapienza" since 2008, where he also teaches chemometrics at both the undergraduate and graduate levels. He holds an MSc degree and a PhD in Chemistry from the University of Rome "La Sapienza", and he has also been a Marie Curie Fellow at the National Institute of Chemistry (Ljubljana, Slovenia) and a visiting researcher at the University of Copenhagen (Denmark). In 2006, he was awarded the Young Researcher Prize by the Analytical Division of the Italian Chemical Society. Since 2009 he has been a member of the Editorial Advisory Board of Chemometrics and Intelligent Laboratory systems and since 2011 of Analytica Chimica Acta. He has published around 45 papers in international journals and books and has given more than 70 presentations in different international conferences. His research interests involve development and application of classification methods, especially in the field of food authentication, nature-inspired methods (artificial neural networks, genetic algorithms, particle swarm optimization) and multiway analysis.

F. Marini, R. Bucci, I. Ginevro, A.L. Magrì, “Coupling of IR measurements and multivariate calibration techniques for the determination of enantiomeric excess in pharmaceutical preparations”, Chemom. Intell. Lab Syst., 97 (2009), 52-63.
F. Marini, “Artificial neural networks in food analysis: trends and perspectives”, Anal. Chim. Acta, 635 (2009), 121-131.
M. West-Nørager, R. Bro, F. Marini, E.V. Høgdall, C.K. Høgdall, L. Nedergaard, N.H.H. Heegard, “Feasibility of serodiagnosis of ovarian cancer by mass spectrometry”, Anal. Chem., 81 (2009), 1907-1913.
F. Marini, B. Walczak, “Finding relevant clustering directions in high-dimensional data using Particle Swarm Optimization”, J. Chemom., 25 (2011), 366-374.
M. Bevilacqua, R. Bucci, A.D. Magrì, A.L. Magrì, F. Marini, “Tracing the origin of extra virgin olive oils by infrared spectroscopy and chemometrics: A case study”, Anal. Chim. Acta, 717 (2012), 39-51.

Award Committee

Romà Tauler, Editor in Chief Chemometrics and Intelligent Laboratory Systems
Beata Walczak, Editor Chemometrics and Intelligent Laboratory Systems
Phil Hopke, Editor Chemometrics and Intelligent Laboratory Systems
Yizeng Liang, Editor Chemometrics and Intelligent Laboratory Systems
Lutgarde Buydens, Editor Analytica Chimica Acta
Dave Sleeman, Publishing Editor Elsevier


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