Research Labs
The CIS faculty are very active researchers. The department maintains the
following labs:
Informatics & Data Mining Lab
Robotics & Computer Vision Lab
Wireless Sensor Data Mining (WISDM) Lab
Laboratory for Informatics and Data Mining
The Laboratory for Informatics and Data Mining in JMH 403 was founded in 2001.
It conducts research on the emerging fields of Computational Intelligence
and Informatics in machine learning, data mining, information fusion, and
knowledge discovery with real life application domains such as:
-
bioinformatics, brain informatics, cognitive informatics & neuroinformatics
-
financial computing and informatics
-
business analytics and business intelligence
-
combinatorial fusion analysis with applications to above
areas and expert systems, forecasting systems, prediction systems,
decision systems and social network and network systems
Some current projects include:
- combining multiple forecasting experts for corporate revenue using CFA
- combinatorial fusion for improving portfolio management
- ChIP-seq analytics: combining multiple detection systems for improving
ChIP-seq peak identification of protein binding sites
- DNA assembly using De Bruijn digraphs
- CFA in brain informatics: gender variation in cognitive facial
judgement
- cognitive diversity in informatics vs correlation in statistics
The lab, led by
Dr. Frank Hsu,
Clavius Distinguished Professor of Science, includes
Dr. Yanjun Li, Dr. Roger Tsai, Dr. Fei Yulian, Dr. Christina Schweikert,
and graduate and undergraduate students. The lab is also looking for
Fordham students from all disciplines and interests to join us in this exciting era to build an intelligent informatics ecosystem in the safe and smart world.
The only requirement is an open-mind, warm heart, and lots of passion.
Please contact
Dr. Frank Hsu
for further information or contact
Dr. Li or
Dr. Tsai
about their research areas.
Laboratory for Robotics and Computer Vision
The Computer Vision & Robotics Lab, directed by
Dr. Damian Lyons,
Was founded in the Summer of 2002. It is funded by an equipment donation
from Philips
Research USA as well as personnel and equipment funds from Fordham University.
Lab equipment includes multiple PCs and SGIs, static and moving cameras, and
several robot platforms. Both graduate and undergraduate students participate
in this lab.
The laboratory is located on Fordham University's Rose Hill Campus in the
Bronx, in room 320 of John Mulcahy Hall. Anyone interested in joining the lab
should contact Dr. Lyons.
The WISDM (WIreless Sensor Data Mining) Laboratory
The WISDM Lab, directed
by
Dr. Gary Weiss,
is concerned with collecting and mining sensor data from smart phones and other
mobile devices. The Lab's research on activity recognition makes it
possible to automatically recognize many of the physical activities that a
smart phone user performs (walking, jogging, sitting, etc.), based on the
phone's accelerometer readings. Research on biometric identification
makes it possible to identify or authenticate a user based on how they
move (as measured by the phone's accelerometr). The Lab's work on trait
recognition makes it possible to learn about a person (e.g.,
their gender, height, weight, etc.) based on their acceleromter measurements.
The Lab is just now beginning to data mine other mobile sensors, including the
GPS sensor.
WISDM is currently working on our first "product",
Actitracker, a free downloadable app
available from the Android marketplace. This product, which makes it possible
for a smart phone user to track their activities, is based on the Lab's
activity recognition technology. The health-related aspects of this research
has led to a $420,000 National Science Foundation grant and a
Google Faculty Research Award. The WISDM lab currently has about one
dozen student members. More information is available
on the WISDM Lab's website.
New research members are
always
welcome.
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