Upload
michi
View
28
Download
1
Embed Size (px)
DESCRIPTION
2011-2012 Research Projects@Hunter. contributed by Prof Felisa Vázquez-Abad Department of Computer Science Hunter College. Our Research. Mathematical Models: understanding relations and dynamics Computer Simulation: virtual reality and experimentation - PowerPoint PPT Presentation
Citation preview
2011-2012 2011-2012 Research Research Projects@HunterProjects@Hunter
contributed byProf Felisa Vázquez-Abad
Department of Computer Science Hunter College
Felisa Vázquez-Abad
Our ResearchOur Research• Mathematical Models: understanding
relations and dynamics
• Computer Simulation: virtual reality and experimentation
• Optimization: decision making, management and “learning”
• Statistics: Analysis and computer learning
Felisa Vázquez-Abad
On Public Transport
•A system for “collective taxis”
•Is the public bike system suitable for Manhattan?
How many idle taxis?How long the wait?
Felisa Vázquez-Abad
Collective TaxisWork done for the Paris metropolitan area (show
results of Lioris, Cohen and la Fortellez).
Control algorithms: sensors, data analytics, optimization
Computer Simulations to assess impact: Idle times statistics, passenger delays, route
statistics Pricing methods
Environmental impact
Feasibility as alternative transportation system for five boroughs of NYC?
Felisa Vázquez-Abad
Five Boroughs of New York• Reduce trajectory length travelled per public transport vehicle
• Provide adequate service at reasonable prices, at low cost
• Environmental impact
Felisa Vázquez-Abad
Extension: Central/Mixed control modelCentral operation: read current traffic
conditions and schedule vehicles
Reservations: handheld devices for communication (optimal allocation)
Optimization: acceptance of clients and reservation rules based on threshold policies (sensitivity analysis)
Economic modeling: study pricing models with priorities, relationship between cost and thresholds
Intelligence: IT-driven self-awareness
Felisa Vázquez-Abad
The Public BikesThe Public BikesAre they suitable for Manhattan?
Felisa Vázquez-Abad
How it works•Short distance, shared bikes
•Membership for residents, or daily/weekly passes for tourists
•Any time, anywhere, for “free”
•Targets healthy population, movements within city centers
•Environmental impact, health impact, economic impact from shared resources
Felisa Vázquez-Abad
Improving Public BikesRouting and information. Software development
for information panels and to keep track of data: users patterns, financial info, bike’s data, etc.
Stations. Use optimization techniques to start with a simple plan with a view to grow: use current city developments.
Availability. Use simulations to assess flow patterns for users: centrifugal, centripetal or balanced demand. Develop learning algorithms.
Redistribution problem: Optimization algorithms for redistribution: intelligent incentives?
Vandalism. Use sensors to target individual bikes and control misuse. Learning algorithm to adapt.
Pricing. Use mathematical models to decide on a pricing system.
Felisa Vázquez-Abad
On Public Health
•Emergency Departments
•Understanding the impact of generic drugs
Emergency Departments
• Doctors/nurses allocated to areas (low and high acuity), patients are directed to areas by the triage nurses
• Overcrowded, long waiting causes patient deterioration
• Technical improvements, staff and space are expensive
• Fast Track: a low cost alternative
Felisa Vázquez-Abad
Triage
Trauma treatment
Discharge or
admitted to
another ward
Non-trauma
Trauma
LA
HA
p4
p2
p6
p1
p8
p3
p5
p7
Standard Emergency Department Standard Emergency Department ModelModel
Felisa Vázquez-Abad
Triage
Trauma treatment
Non-trauma
Trauma
LA
HA
FTp1
p2
p8
p5
p3
p9
p7
p10
p11
p4
p6
Discharge or
admitted to
another ward
Fast Track Emergency Department Fast Track Emergency Department ModelModel
Felisa Vázquez-Abad
Research Questions
Testing in real hospitals: expensive and may be misleading.
• Does the FT decrease patient waiting times?
• What is the impact on patient health?
• Are the costs of operation significantly different?
• Is it suitable to all hospitals?
• What are the critical conditions of arriving patients that favor the use of a FT?
• How should resources be diverted to FT? Active resource management (machine learning)
• How would it integrate with the new health care system in our country?
Felisa Vázquez-Abad
Generic DrugsGood or evil?
Felisa Vázquez-Abad
Reasonable, isn’t it?Brand names: pharmaceuticals charge high
cost for their product
Generics are manufactured using same active ingredients, considerably cheaper
“In the long run, you save money if you buy generics”
Felisa Vázquez-Abad
Reasonable, isn’t it?Brand names: pharmaceuticals charge high
cost for their product
Development: extensive testing (dose, vehicle…)
Generics are manufactured using same active ingredients, considerably cheaper
“In the long run, you save money if you buy generics”
Felisa Vázquez-Abad
Reasonable, isn’t it?Brand names: pharmaceuticals charge high
cost for their product
Development: extensive testing (dose, vehicle…)
Generics are manufactured using same active ingredients, considerably cheaper
Not tested, manufactured cheaply
“In the long run, you save money if you buy generics”
Felisa Vázquez-Abad
Reasonable, isn’t it?Brand names: pharmaceuticals charge high
cost for their product
Development: extensive testing (dose, vehicle…)
Generics are manufactured using same active ingredients, considerably cheaper
Not tested, manufactured cheaply
“In the long run, you save money if you buy generics”
Effectiveness, economic consequences, who pays?Felisa Vázquez-Abad
Scientific Approach
• Mathematical model for the financial process involving generics and brand names
• Scientific evidence of effectiveness
• Scientific evidence of real costs
• Statistical studies, interviews with medical professionals, real data
• Incorporate the role of insurance companies
• Incorporate the role of government and public health
Felisa Vázquez-Abad
Suburban MicrofarmsA Sustainable Operating System for Sustenance
Felisa Vázquez-Abad
The Problem
We had all the answers, but the questions have We had all the answers, but the questions have changedchanged
Food production technology, 20th Century
Oil: efficient energy production, speeds process, large scale
Mathematical models and profit-driven business
The IOSS and MacDonald 50% World population in cities
From > 45% to < 3% Americans in agriculture in 4 decades (5 million needed in 2020)
Serious health, financial and environmental problems
Felisa Vázquez-Abad
GINGERMicrofarm“El Chilhuacle” in the suburbs of
Melbourne, Australia
An initiative by Ari Fainchtein
Minimize use of non-renewable energy (harvesting energy)
Fertilizers and composting
Plot size and scalability (complexity)
Small farms (motivate young people)
Community resilience (from the soil to the table)
A New Transformational Science
“Because we have a Hammer, everything looks like a nail”
Computer Science, Mathematics, OptimizationComputer Science, Mathematics, Optimization
•Don’t go back to ancient farming
•Ginger: a model for an Operating System (open data source)
•New data structure and communication language
•Current world connected via computers
•Sensor technologies, internet: new models for supply chain
•Going beyond into transformational discipline (academic degrees)
Felisa Vázquez-Abad
Other Problems
• The Melbourne airport fleet: how many buses should they have?
• Why is the price of copper cyclic?
• Intelligent batteries for active energy management
Thank you!
• Multidisciplinary projects for joint collaboration
• CUNY ideally placed to get involved in community development
• Research at all levels: never too soon, never too late to be creative
Felisa Vázquez-Abad