Marcus Alexandre Nunes

Marcus Alexandre Nunes

Professor

Departament of Statistics, Federal University of Rio Grande do Norte

E-mail: marcus.nunes@ccet.ufrn.br

Research areas: Generalized Linear Models, Design of Experiments, Genetics.

Graduated in Bachelor in Applied Mathematics from the Federal University of Rio Grande do Sul (2006) and Master's degree in Pure Mathematics with emphasis in Probability and Statistics at the Federal University of Rio Grande do Sul (2008). Currently a PhD in Statistics from the Pennsylvania State University (2013). Has experience in the area of probability and statistics, with emphasis on Generalized Linear Models and Design of Experiments, mainly with count data models with over-dispersion.

Adriao Duarte Doria Neto

Adriao Duarte Doria Neto

Collaborator Professor

DCA - Departament of Computer Engieering and Automation, Federal University of Rio Grande do Norte.

E-mail: adriao@dca.ufrn.br

Research areas: 

Bachelor's at Electric Engineering from Universidade Federal do Rio Grande do Norte (1978), master's at Electric Engineering from Universidade Estadual de Campinas (1982) and doctorate at Engenharia Elétrica from Institut National Polytechnique de Toulouse (1989). He is currently full professor at Universidade Federal do Rio Grande do Norte. Has experience in Electric Engineering, acting on the following subjects: redes neurais, processamento digital de imagens, neural networks, matemática intervalar and foundation fieldbus.

Daniel Sabino Amorim De Araujo

Daniel Sabino Amorim De Araujo

Collaborator Professor

Instituto Metrópole Digital, Federal University of Rio Grande do Norte

E-mail: daniel@imd.ufrn.br

Research areas: 

Bachelor's at Ciência da Computação from Universidade Federal do Rio Grande do Norte (2006), master's at Computer Science from Universidade Federal do Rio Grande do Norte (2008) and doctorate at Electric Engineering from Universidade Federal do Rio Grande do Norte (2013). Has experience in Computer Science, acting on the following subjects: clustering, genetic algorithm, cluster ensemble, microarray data and image segmentation.

Allan De Medeiros Martins

Allan De Medeiros Martins

Collaborator Professor

Department of Electrical Engineering, Technology Center, Federal University of Rio Grande do Norte.

E-mail: allan@dee.ufrn.br

Research areas:  Electrical and Computer Engineering.

Graduated in Electrical Engineering (2000), Master of Science from the Federal University of Rio Grande do Norte (2001) and PhD in Electrical Engineering from the Federal University of Rio Grande do Norte (2005). PostDoc stage from University of Florida in 2006 on Signal Processing area. He is currently Adjunct Professor of Electrical Engineering at the Federal University of Rio Grande do Norte. He has experience in Electrical and Computer Engineering with emphasis on Signal Processing and Intelligent Systems, acting on the following topics: signal and images processing, control and intelligence systems

Eudenilson Lins de Albuquerque

Eudenilson Lins de Albuquerque

Permanent Professor

Department of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte

E-mail: eudenilson@gmail.com

Research areas: Bioinformatics, Atomic and Molecular Physics, Biological Chemistry.

Interested in the investigation of the electronic charge transport properties of biological molecules, such as the nucleic acids, proteins and polypeptides, by using quantum chemistry computation. From their modelling, we expect to propose/develop nanobiological devices which could diagnose and evaluate specific diseases like autism, several types of cancer, osteoporosis, different forms of psychosis, etc. Relevant questions will be approached, as the electrical conductivity of the biological molecules, their electronic transmission spectra, quantum wavefunction profiles and how they scatter charge carriers. The calculation of characteristic IxV (current versus voltage) curves, very important for prototyping nanobiodevices involving the coupling of selected biological molecules sandwiched between two electrodes (donor-DN and acceptor-AC, respectively), is expected to be performed by using the density function theory (DFT) quantum chemistry model. Diluted disorder and the role of correlation effects, especially those with symmetrical and anti-symmetrical features, and the non-linear field effects on the quantum wave packet dynamics, will be investigated as well. Furthermore, considering the biological molecules as quasiperiodic arrangements and taking into account that the propagation of their collective modes in quasiperiodic systems implies, among other things, a self-similar fractal energy spectrum that forms a Cantor set, we intend to study their thermodynamic properties by using computational techniques employed in the framework of fractal physics. Overall speaking, our main goal is the production/characterization of a new range of bioelectronic devices that are much smaller, faster and more energy efficient than the present semiconductor crystal-based one, giving rise to a new high-tech revolution based on nanobiostructures.

João Paulo Matos Santos Lima

João Paulo Matos Santos Lima

Associate Professor

Department of Biochemistry, Federal University of Rio Grande do Norte

E-mail:  jpmatos@cb.ufrn.br

Research areas: vegetal antioxidant metabolism, gene expression analysis,  structural bioinformatics, genomics, transcriptomics, molecular phylogeny, molecular evolution of metabolic pathways.

Euzébio Guimarães Barbosa

Euzébio Guimarães Barbosa

Associate Professor

Department of Pharmacy, Federal University of Rio Grande do Norte

E-mail:  euzebiogb@gmail.com

Research areas: QSAR (2D, 3D, 4D), molecular dynamics, docking, chemometrics.

Assistant Professor II of the Department of Pharmacy at the Federal University of Rio Grande do Norte (UFRN). Operates mainly in the area of biological activity prediction by QSAR , 2D, 3D and 4D models. He has expertise in the area of molecular dynamics simulations, force fields, ab-initio calculations.

Gustavo Antônio De Souza

Gustavo Antônio De Souza

Permanent Professor

Brain Institute, Federal University of Rio Grande do Norte.

E-mail:gadsouza@neuro.ufrn.br

Research areas: Proteomics, mass spectrometry, bioinformatics.

I have a BSc in Biology obtained from the Universidade Federal do Paraná (1999), and a MSc and a PhD in Cell Biology from the Medical School of Ribeirao Preto, University of São Paulo (USP) (2004), when I started my career progression in mass spectrometry-based proteomics. From 2005 to 2007, I did my post-doctoral research in collaboration with Matthias Mann at the Department of Proteomics and Signal Transduction, Max-Planck Institute for Biochemistry (Martinsried, Germany). From 2007 until 2010 I was an independent researcher at the University of Bergen (Norway), implementing proteomic projects in the following topics: parasite/host interactions, characterization of virulence factors in bacteria, characterization of drug-resistance factors in bacteria, evolution of clinical strains of Mycobacterium tuberculosis. During 2010 until 2015, I was hired as a Principal Investigator at the Dept. of Immunology in the University of Oslo (Norway), and as a manager of the Proteomics Core Facility, Oslo University Hospital, working in the following subjects: characterization of antigenic peptides in autoimmune diseases such as celiac disease, proteomic characterization of primary T cell clones from patient donors, proteogenomic analysis of the human genome. Currently I am interested in developing bioinformatic tools to improve mass spectrometry data analysis, and to allow the meta-analysis of mass spectrometry data collected independently, as well as to improve genomic annotation of eukaryotes, as for example by characterizing rare protein isoforms.