DEPARTMENT  OF  COMPUTER  SCIENCE   SCIENCES  CLUSTER   UNIVERSITY  OF  THE  PHILIPPINES  CEBU  

DCS  Research  Direc-ons     Prepared  by:   Asst.  Prof.  Kurt  Junshean  Espinosa   Chair     Harolds  Hotel,  Cebu  City     March  19,  2014    

DCS   Vision   A  world-­‐class  insRtuRon  in  computer  science  research  and  educaRon   that  shapes  and  transforms  the  region  into  a  dynamic  and  ICT-­‐driven   society     Mission   1.  To  advance  knowledge  in  computer  science  through  novel  and   innovaRve  interdisciplinary  research  that  improves  the  quality  of   life  and  society   2.  To  produce  graduates  who  are  technically  competent  and  socially   responsible  leaders  in  CS  research  and  in  the  ICT  industry   3.  To  opRmize  the  use  of  ICT  by  strengthening  partnership  with  the   different  stakeholders  

History   •  1996  –  started  as  a  BS  Computer  Science   Program   •  Mar  2007  –  insRtuted  as  Department  of   Computer  Science   •  Dec  2007  –  awarded  by  CHED  as  Center  of   Excellence  in  IT  EducaRon  (1  of  the  9  in  the   Philippines)   •  2009  –  started  the  MS  Computer  Science   program  

DCS   •  People:  1  PhD,  5  MS,  2  MS  Cand,  2  instructors,  4-­‐6   lecturers  (from:  IBM,  Lexmark,  NCR,  NEC,  etc),  1  visiRng   professor  (Austria),  3  affiliate  professors  (UP  Diliman)   •  Curriculum:  Based  on  ACM/IEEE  RecommendaRons  and   stakeholders’  input   •  Career  Path  of  Graduates:  academicians  and  researchers  in   universiRes  and  R&D  companies,  sofware  engineers,   startup  entrepreneurs,  IT  managers   •  Research  Areas:  Machine  Learning  and  Big  Data  AnalyRcs,   Natural  Language  Processing,  Digital  Signal  Processing   (audio,  video,  image),  E-­‐learning,  OpRmizaRon  and   HeurisRcs,  Social  Network  Analysis,  Computer  SimulaRon   and  Modeling  

Funded  researches  

1.  ASEAN  Machine  TranslaRon  (MT)   •  The  project  aims  to  provide   a  public  service  of  machine   translaRon  for  all  ASEAN   languages.   •  Supports  opening  of  ASEAN   Economic  IntegraRon  by   2015   •  aseanmt.org   •  Faculty:  Prof.  Robert  Roxas   •  SpecializaRon:  Natural   Language  Processing  (NLP)   •  Fund  Source:  CHED   •  Collaborator:  DLSU  Manila,   Center  for  Language   Technologies  

2.  DREAM  Program   •  Disaster  Risk  and  Exposure   Assessment  for  MiRgaRon   (DREAM)  Program   •  Covers  areas  most  hit  by   floods   •  Faculty:  For  UP  Cebu,  Dr.   Sinogaya  and  Prof.  Silapan   together  with  DCS  faculty   (Hazard  Mapping,   Assessment  of  AquaRc   Resources)   •  Fund  Source:  DOST   •  Collaborators:  UP  Diliman   Eng,  NIGS  

2.  DREAM  Program:  LIDAR   •  Light  DetecRon  and   Ranging  (LiDaR)   •  Captures  topographic   data  

3.  Dengue  Epidemic  Modeling   •  The  first  aim  is  to  support   decision  makers  by   esRmaRng  the  outcome   of  intervenRons  against   dengue  like:   –  mosquito  control   –  increased  usage  of   repellents  or   –  vaccinaRon  strategies   [vaccines  are  currently   under  development  and   are  expected  to  be   released  soon,  maybe   already  2015]  

Source:  hmp://upload.wikimedia.org/ wikipedia/commons/4/49/Dengue06.png  

3.  Dengue  Epidemic  Modeling   •  The  second  aim  is  to   provide  more  insights   into  the  spreading   process  of  dengue  among   a  populaRon.   •  The  vision  is  to  help   understanding  dynamics   of  dengue  epidemics   bemer,  and  even  to  be   able  to  make  forecasts  on   outbreaks  one  day.  

3.  Dengue  Epidemic  Modeling   •  Faculty:  Dr.  Florian  Miksch,  Prof.  Kurt  Espinosa   •  Fund  Source:  UP  Cebu  Research  Grant   •  SpecializaRons:  Computer  SimulaRon  and   Modeling,  Machine  Learning   •  Collaborators:  DOH  Region  7  and  Cebu  City   Health  Office  (possibly:  George  Mason  University   under  USAID  STRIDE  fund)   •  Pilot  project  is  being  done  now  for  Cebu  City  and   based  on  the  results  possibly  extend  the  model   for  enRre  Philippines  in  2015.  

4.Crime  Modeling  and  PredicRon   •  Title:  “Mapping  and   Modeling  of  Crime   Incidences  in  Cebu  City   to  be  used  in  Crime   PredicRon  for  Public   Safety”   •  Collaborator:  Cebu  City   Police  Office  

4.Crime  Modeling  and  PredicRon   •  Faculty:  Mr.  Ryan  Dulaca  (Project  Lead),  Prof.   Kurt  Junshean  Espinosa,  Prof.  Demelo  Lao,  Mr.   Ronald  Pernia   •  Areas  of  specializaRon:  Machine  Learning,   Social  Theory,  StaRsRcs   •  Fund  Source:  Center  for  IntegraRve  and   Development  Studies  (CIDS)  

5.  Automated  Image  ClassificaRon   •  Title:  “An  automated  viral   infecRon  classifier  in  a   Carabao  mango  tree”   •  Collaborator:  Department   of  Agriculture   •  Faculty:  Prof.  Sandra   Famador   •  Fund  Source:  UP  Cebu   Research  Grant   •  Area  of  SpecializaRon:   Digital  Image  Processing  

hmp://www.yspuniversity.ac.in/eap/ images/res-­‐26.jpg  

NON-­‐FUNDED  RESEARCHES  

Prof.  Kurt  Junshean  Espinosa  

SOCIAL  NETWORK  MINING  

1.  Intelligent  Tutoring  System   •  How  can  Social  Networks  be  tapped  to  learn  a   new  language?  

1.  Intelligent  Tutoring  System   •  Faculty:  Prof.  Kurt  Espinosa,  Prof.  Jaime  Caro   •  Research  Area:  Intelligent  Tutoring  System,   Machine  Learning   •  Collaborators:  Department  of  InformaRcs,   University  of  Piraeus,  Greece  (Prof.  Maria   Virvou  and  Christos  Troussas)   •  Has  published  journals  and  conference   proceedings.  

2.  Opinion  Mining   •  How  much  data  in   social  network  can   reveal  people’s   senRments  on   parRcular  products  (or   enRRes  in  general)?     •  Is  it  possible  to   summarize  senRments   on  parRcular  product   components?  

3.  Disaster-­‐related  topics   •  Can  we  infer  the  actual   locaRon  of  a  parRcular   disaster  by  studying  the   community  talking  about  it?   –  “Community  Structure   DetecRon  and  Analysis  in   Disaster-­‐Related  Tweets”*    

•  Can  we  detect  where  disasters   are  happening  thru  the  social   network  feeds?   –  “ParRcipant  Tweet   IdenRficaRon  using  Support   Vector  Machines”*       •  Accepted  for  publicaRon  in   Philippine  CompuRng  Journal  

4.  EmoRon  Diffusion  in  Social  Networks   •  How  does  an  emoRve   post/status  spread   throughout  the   network?   •  What  factors   characterize  emoRon   diffusion  in  social   networks?  

E-­‐LEARNING  

1.  InteracRve  Learning  Object   •  Protein  Synthesis  ILO   (thru  CILOB)   •  Collaborator:  Ms.   Jeraline  Gumalalm,  UP   High  School  Biology   teacher   •  Faculty:  Prof.  Demelo   Lao  

2.  InteracRve  SimulaRon  Engine   •  “How  can  we  simulate   events  in  a  more   dynamic  and  interacRve   way?”   •  Collaborator:  UP   Diliman  DCS  (Prof.   Jaime  Caro)   •  Faculty:  Prof.  Espinosa  

Mr.  Jedaiah  Joel  Lumagbas  

CS  EDUCATION  

1.  Technology  and  EducaRon   l 

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How  can  technology  be   used  to  enhance   learning  experience?   Faculty:   Mr.   Jedaiah   Lumagbas   (currently   doing   MS   at   University   of  Melbourne)  

2.  Serious  Games   •  How  can  games  be   designed  to  improved   learning  exp?  

Prof.  Paula  Esplanada  

OPTIMIZATION  AND  HEURISTICS  

1.  OpRmizaRon  Algorithms   l  l  l 

l 

GeneRc  algorithm   Simulated  annealing   Ant  colony  opRmizaRon   Example  Problem  Area:   How  to  schedule   classes  for  opRmal  use   of  resources?  

hmps://encrypted-­‐tbn1.gstaRc.com/images? q=tbn:ANd9GcQZPtUNHIpLAWtQBqIqe2stbfXyoGPTbiAxxaPvp J56yT-­‐BxG4g8Q  

Any  quesRons?  

THANK  YOU  FOR  LISTENING