Posters Students 2

addictedswimmingΤεχνίτη Νοημοσύνη και Ρομποτική

24 Οκτ 2013 (πριν από 3 χρόνια και 9 μήνες)

74 εμφανίσεις

Posters

Students

2

October

24,
Wednesday

Fabrício

Martins Lopes

Brazilian


Ph.D. in
Bioinformatics

at

USP


Professor at UTFPR
-

Federal
University of Technology


Paraná


Research interests:
Bioinformatics,
pattern recognition and image
processing.



Current work

Biological Systems


Biological systems are
complex;


Several physical
interactions;


Components with different
behaviors (functions);


Different interactions
(protein
-
protein, protein
-
DNA, etc.).

GNs Inference


Curse of dimensionality:
there are much more genes
than features;


Expression data
are only
part
of the information.

A possible way:


Data Integration

Gabriela
Rodrigues

Luiz



Brazilian



Bachelor in
Biological Science



Ph.D

student in Bioinformatics



UFMG (University of Minas
Gerais
)

Expression profile of blood and culture
trypomastigotes

of
Trypanosoma

cruzi

by RNA
-
Seq



The parasite
Trypanosoma

cruzi

is the etiologic agent of
Chagas

disease, a
neglected tropical disease.



Trypomastigotes

are the bloodstream circulating form that infect a wide variety
of nucleated host cells.



Recent advances in high
-
throughput sequencing offers the ability to discover
new genes and transcripts and measure transcript expression in a single assay.



However, even small RNA
-
seq

experiments involving only a single sample
produce enormous volumes of raw sequencing reads.



The volume and complexity of data from RNA
-
seq

experiments requires
powerful computational tools: scalable, fast and mathematically principled
analysis.



This methodology could reveal the real complexity of the dynamics of expression
of this parasite.


Junior Research Fellow,

Machine Intelligence Unit,

Nationality:

Application of Machine Learning Techniques and Graph Algorithms towards Analysis of

Protein
-
Protein Interaction Network

Introduction and Objective:

emergent properties of biological entities not readily explainable by the their constituent parts

components are best characterized as interaction networks; interaction patterns being non
-
trivial and irregular

Further comparison of networks inform us with the shared functional modules in species as well as change in functionality wit
hin

a species over time

Centrality
Parameter
computation


Node parameters


Network parameters

Identification of
connected
components on
perturbation,
and

Clustering

Data:

Interaction collected
from STRING database
for Plasmodium
Falciparum

Phases
-
sporozoite
,
gametophyte

Blast similarity

Topology similarity

Mapped Nodes

Conserved Interaction Edge

Current Scope of Improvement
:


Perturbation analysis


Improvise on similarity score
including neighborhood, expression
data, gene ontology



integrate tools into GUI

Acknowledgement


Dr.
Saikat

Chakrabarti
,
Indian
institute of Chemical Biology, for
complete guidance and
computational source


Prof.
Ujjwal

Maulik
,
Jadavpur

Univerisity

for thesis supervision

Name:
Geizecler

Tomazetto

Nationality: Brazilian

Institution: Campinas University (UNICAMP)

PhD Student is supported by grants from FAPESP

Supervisor:
Valéria

Maia de Oliveira



Diversity analysis and
bioprospection

of microbial
metagenome

in
H
2
-
producing biogas fermenter

Construction
fosmid

library

Sequencing by
means 454
-
pyrosequencing

Domestic sewage
treatment plant
at


Water Supply and
Sanitation Company
(SANASA)

DNA
extraction

Characterization of the diversity:


-

Bacteria and Archaea Domains;



-

FeFe
-
hydrogenases
.

Bioinformatic
: analysis of the
community anaerobic, new
hydrogenases

and enzymes for
biotechnological application


-

Cloning and expression of
hydrogenases

Glauco

Vitor

Pedrosa


I am a PhD
student in Computer Science at University of
São
Paulo (USP), Brazil.
My
research area is Image Processing and my
ongoing
projects are
concerning to
feature detection and content
based image retrieval systems.




My ongoing PhD project aims
at studying and exploring the

Bag
-
of
-
Features

approach
to support content
-
based image retrieval
for
medical
systems
, considering the specialists' point of view
and
knowledge
.



The

Bag
-
of
-
Features

approach

represents

the

image

as

an

collection

of

local

features
.

For

this,

first

the

image

local

features

are

extracted,

and

then

they

are

assigned

to

their

nearest

matching

term

from

a

visual

vocabulary
.

The

image

feature

vector

is

represented

by

a

histogram

of

features

detected

in

the

image
.

Glauco

Vitor

Pedrosa

Govinda

Murali

4
th

year Undergraduate Student

Department of Physics & Meteorology

Indian Institute of Technology
Kharagpur

India

Direct laser pruning of Nanostructures and study of their optical and
electrical properties

Under Dr. Sow
Chorng

Haur
,
Nanomaterials

Research lab, National University of Singapore


Practical Applications



Photodetectors

-

Image sensing



Biophysics


optical tweezers used for

study of extension and twisting of

DNA & blood cells



General Information


Name:
Guilherme da Silva Pereira


City: Campina Grande


State:
Paraíba

(
Northeast of
Brazil)


Graduate in Biology


State University of
Paraíba

(UEPB), Campina Grande,
Paraíba


Master’s degree in Genetics and Plant Breeding


University of São Paulo (USP), College of Agriculture “
Luiz

de
Queiroz

(
ESALQ
), Piracicaba, São Paulo


PhD student in Genetics and Plant Breeding


USP/ESALQ

Current Work


Title: QTL mapping in sweet sorghum and
synteny

with sugarcane


Objectives:


To found QTL related to
production
and bioenergy characters in sorghum


To compare genomes (
synteny
) and QTL locations between both species


Data:


Sorghum population:
225 RIL (recombinant inbred lines)
individuals


Genotyping
-
by
-
sequencing (
GBS)


Illumina


Sugarcane population: 200 F
1

individuals


Genotyping by
iPLEX

MassARRAY



Sequenom


Phenotypes: e.g. production, sugar and fiber contents, ethanol production

Lic
.
Inti

Anabela

Pagnuco


• Ph.D. student in Electronic Engineering.


Argentina





School of Engineering, Mar del Plata National University,

Argentina.



National Council of Scientific and Technical Research,

CONICET, Argentina.

Current work:



Supervised

classification

techniques

applied

to

high

density

genetic

data
.



Advantages

of

balanced

classifier

design

on

microarray

data

classification




Decision

Making

for

the

Semi
-
automatic

Clustering

of

large

Protein

Superfamilies

Email
: intipagnuco@fi.mdp.edu.ar

Ivo

Koga


koga@ic.unicamp.br

LIS
-
IC
-
UNICAMP

BRAZIL

Ivo

Koga


LIS


IC


UNICAMP
-

BRAZIL



Problem

-

heterogeneity

and

data

deluge

from

environmental

monitoring

scenarios



Objective



use

Enterprise

Service

Bus

(ESB)

and

Complex

Event

Processing

(CEP)

to

integrate

and

process

events

from

sensor

data

Thanks!


Ivo

Koga


koga@ic.unicamp.br


Advisor: Claudia
Bauzer

Medeiros

cmbm@ic.unicamp.br


JAYANTA KUMAR PAL

C
ENTER

FOR

S
OFT

C
OMPUTING

R
ESEARCH

I
NDIAN

S
TATISTICAL

I
NSTITUTE

K
OLKATA
, I
NDIA

J
UNIOR

R
ESEARCH

FELLOW

I
NDIAN

Current Research Area


MiRNA

and its role on cancer


Computational
Approaches for Identifying
Cancerous
miRNA

Expressions



miRNA

selection for cancer classification



T
HANK

Y
OU


Name: Joana E. Gonzales Malaverri


Advisor: Claudia M. Bauzer Medeiros


Nationality: Peruvian


Academic institution: Institute of Computing, UNICAMP


A Provenance
-
Based Approach: helping to measure the
quality of data


Goal: Present an approach based on the use of provenance
that help on the measurement of the quality of a data
product.


Laboratory of Information System (LIS)
www.lis.ic.unicamp.br

Subcritical hydrolysis with water/CO
2

of agricultural residues for
the production of fermentable sugars

Sugarcane
bagasse


Pressed palm fiber


Coconut husk


Defatted grape seed

Eng. Julio César Santos dos Anjos


Master in Computer Science at UFRGS/2012

PhD Student at UFRGS


GPPD Member

MapReduce Research Group Member


Nationality: Brazilian


MapReduce on Heterogeneous Environments

+



Volatility


+


S
tochastic
S
chedulers

=

MR
-
S++

M
ap
R
educe with
T
asks
S
tochastic
S
cheduler

Jurandy Almeida

RE
asoning

for
CO
mplex

D
ata


RECOD

Lab

I
nstitute of Computing, University of Campinas


UNICAMP

Campinas, SP


Brazil


jurandy.almeida@ic.unicamp.br

e
-
phenology

e
-
phenology: The application of new
technologies to monitor plant phenology and
track climate changes in the tropics
*

(a)

use of new technologies of environmental
monitoring
-

remote phenology monitoring
systems

(b)

provide
models, methods, and algorithms
to
support management, integration, and analysis of
remote phenology
data

(c)

create a protocol for a future Brazilian Network
-

long term phenology
monitoring
program

Patrícia Morellato


Phenology Laboratory

Dept
.
of

Botany

UNESP
, Rio Claro, SP


Ricardo
Torres

RECOD Lab

Institute

of

Computing

UNICAMP
, Campinas, SP

*
Supported by the FAPESP
-
Microsoft Research Virtual Institute

Sílvia

Cristina Dias Pinto

PostDoc

Institute of Mathematics and Statistics


IME

University of São Paulo


USP

Brazil


3D Shape Analysis using Wavelets


3D Facial Expression (ICIP 2011)




Supra
-
orbital Margin

Submitted to
IEEE Transactions on Information Forensics and Security

Kartick

Chandra MONDAL

Nationality: INDIAN



4th Year PhD Student

I3S Laboratory (CNRS/UNSA UMR
-
7271)

University of Nice Sophia
-
Antipolis
,

Nice, France

https://sites.google.com/site/mrkartickchandramondal/



Supervised by: Nicolas PASQUIER

Head of KEIA Team,

Pole GLC, Laboratory I3S, UNSA



Current research interest:


Developing new closure based approaches for frequent pattern mining,
association rule mining and
biclustering

in one run.


Analyzing images using our own closure based approaches.


Finding unknown Protein Interactions from HIV
-
Human Protein Interaction
Data.


Using different data mining task, finding the relationships between
ontological terms and gene annotation from integrated gene expression
data.


Finding
biclusters

and ranking genes from gene expression data using multi
-
object methods.

Thank you for your kind interest!!!

Katti

Faceli

Associate

professor


Department

of

Computing

Federal
University

of

São
Carlos
(UFSCar)
at

Sorocaba

Brazil

Main

research

project
:





An

hybrid

intelligent

system for clusters’
identification
,
which

integrates

ensembles,
multiobjective

optimization

and

model

selection

strategies


Other

current

works
:






Complexity

of

gene
expression

data
and

model

selection

for
clustering



Visualization

of

a set
of

clustering

solutions



Classification

of

e
-
tongue

sensor data

Name: Leonardo Galindo Gonzalez

Nationality: Colombia

Institution: University of Alberta, Canada

Flax genome sequencing
and annotation

Transposable element
studies

Reverse genetics to find
mutations in fiber
development genes

Lucas Antiqueira

PhD Computational Physics, MSc/BSc Computer Science


Post
-
doctoral associate at:

Instituto de Ciências Matemáticas e de Computação (ICMC)

Universidade de São Paulo (USP), São Carlos, Brazil

Current work


Neuroinformatics


Brain sampling through functional networks



Bioinformatics


Integrated analysis (transcriptome + metabolome +
proteome)



Natural language processing


Text analysis for, e.g., authorship identification and
automatic summarization

Complex networks

Luiz

Gomes


UNICAMP (Brazil)

Declarative queries for Information Retrieval over
graph databases


Defining GIRDBs


Graph
Information
Retrieval
DataBases



Representing structured (e.g. relational) and unstructured
(e.g. documents) data as graphs


Mapping IR metrics (relevance, reputation, similarity, etc.)
into graph analysis tasks


Integrating the metrics in a declarative query language


Optimizing/Processing queries


Applying the framework to CMSs, e
-
health, biodiversity,
recommendation systems, etc.


Industrial Engineering and Operation Research

University of California, Berkeley


I am originally from China.

Focusing on data analysis research.


On
-
going research project


Berkeley Architecture Department Building



Data of every plug load in the 4
th

floor for each minute


Analysis



Applying clustering to detect the pattern.



Time Series Analysis


Maiana

de Oliveira
Cerqueira

e Costa



M.Sc. in Computational Modeling at
Laboratório


Nacional

de
Computação

Científica

(
Petrópolis
,

Brazil).




B.Sc. in Biological Sciences at
Universidade

Federal
da


Bahia (Salvador, BA).


Current work and
interests

Previous works



Participated

in the annotation of a
database

dedicated to type
IV secretion systems (
http://www.t4ss.lncc.br
);




Performed
phylogenetic

studies on the

evolution

of
Gymnotiformes
.




Comparative
genomics

of

Staphylococcus
aureus

ST239

clinical isolates.