CIS Research Labs
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, and 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 judgment
- 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 Wireless Sensor Data Mining (WISDM) Laboratory
The WISDM Lab, directed by Dr. Gary Weiss, is concerned with collecting and mining sensor data from smartphones and other mobile devices. The Lab's research on activity recognition makes it possible to automatically recognize many of the physical activities that a smartphone 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 accelerometer). 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 accelerometer measurements. The Lab is just now beginning to data mine other mobile sensors, including the GPS sensor.
Wireless Information Network and Cyber Security (WINCS) Laboratory - JMH 328C
Founded in 2016, the Wireless Information Network and Cyber Security (WINCS) Laboratory at Fordham University aims to become a premier research center in wireless networks, cybersecurity, networks protocols, and performance evaluation, biometrics, security of e-based systems, data analytics, modeling & simulation, and forensics. WINCS laboratory is located on Fordham University's Rose Hill Campus in the Bronx, in room 328C of John Mulcahy Hall. Anyone interested in joining the lab should contact Prof. Obaidat. The lab welcomes all students interested in conducting research in the above areas especially cybersecurity and wireless networks related topics.
The Wireless Information Network and Cyber Security (WINCS) Laboratory is actively engaged in research in the areas of:
- Wireless networks protocol design, and performance evaluation
- Computer networks security
- Cyber-Physical System (CPS) security
- Biometrics-based security
- Information and Network Forensics
- Learning Automata (LA) applications to computer networking
- Green ICT
- Modeling and simulation of wireless and wired networks
- Data Analytics
Key lab people include:
- Thaier Hayajneh, Associate Professor, Director of the MS Program in Cybersecurity, and Director of the MS Program in Data Analytics.
- Md Zakirul Alam Bhuiyan, Assistant Professor.
The Computational Neuroscience Lab
The Computational Neuroscience Lab at 540 East 191st Street is directed by Dr. Daniel Leeds. It develops and uses methods in machine learning, computer vision, and neuroscience to create new computational models of human cognition. The lab explores object perception, memory, and reasoning using behavioral and neuroimaging data. Both undergraduate and graduate researchers contribute to the research. The lab is funded by personnel and equipment funds from Fordham University. Anyone interested in joining the lab should contact Dr. Leeds.