Aspinity selected as one of the 9 companies for inaugural Amazon
Alexa Techstars program [May 2017]
Invited presentation on Integrated sensing systems for
surface mine safety at 2015 SME/PCMIA Annual joint Meeting, Washington PA [Oct
2015]
Paper accepted in IEEE Transactions in Vehicular
Technology [Oct 2015]
A. Tahmasbi-Sarvestani, Y. Fallah, V. Kulathumani, “Distance-dependent, double-layer, broadcast protocol for VANETs”, IEEE Transactions on Vehicular Technology, 2015
Paper accepted in the International Journal of Mining,
Reclamation & Env [Oct 2015]
Sabniveesu, V., Kavuri, A., Kavi, R., Kulathumani,
V., Kecojevic, V.,
Nimbarte, A. (2015). Use of wireless, ad-hoc networks for proximity warning and
collision avoidance in surface mines. International Journal of Mining,
Reclamation and Environment. 29(5):331-346
Paper accepted at IPSN 2015 [April 2015]
B. Rumberg, D. Graham, S. Clites, B. Kelly, M. Navidi, A. Dilello, and V. Kulathumani, "RAMP: Accelerating wireless sensor design with a reconfigurable
analog/mixed-signal platform," in Proceedings of the ACM/IEEE Conference
on Information Processing in Sensor Networks, Seattle, WA, April 2015, pp. 47
– 58
Article on mine safety research [April 2015]
http://cemr.wvu.edu/news/news-details.php?item=2079
Received subcontract for DARPA Communication in Congested
Environments (C2E) project through The Samraksh
Company [September 2014]
The overall project goal is to provide a
framework called the “Tuscarora Framework” to support ASNPs
(Application Specific Network Patterns). This is an agile networking framework that
is designed to decouple networking patterns from waveforms, so that both
networking patterns and waveforms can be added or removed during normal
operation and so that both can be automatically tested in isolation. The
framework is aimed at making it easier to integrate adaptive routing services
that handle critical communication across multiple hardware platforms.
Received grant from the Alpha Foundation for Mining
Safety [October 2013]
The objective of this research project is
to develop and deploy an integrated safety system to help reduce equipment-related
fatal and non-fatal injuries in US surface mining operations. Specific aims are
to (i) design a large-scale sensor network system
geared towards surface mining safety; (ii) establish infrastructure
communication platform and information management system for real-time
situational awareness; (iii) provide a non-distractive user interface for
equipment operators/drivers and an integrated, informative console for mine
operation management; and (iv) educate and train a new generation of professionals
who will be working on surface mining safety research (e.g. capacity building).
As opposed to leaving individual sensing sub-systems disconnected, all
components will be integrated into a common
information management system, thus simplifying installation, maintenance,
data retrieval and user interface design. The
proposed integrated system will be developed and tested at Red Hills Mine a
surface coal mine operated by the Mississippi Lignite Mining Company (North
American Coal Corporation).
Collaborators: Vlad Kecojevic
(Mining Engineering, PI), Ashish Nimbarte (Industrial Engineering), Bojan Cukic (Computer Science)
Received DoE/NETL grant focused on sensor network systems
for Wireless health monitoring of Slagging Gasifiers [October 2013]
The
objective of this project is to demonstrate the use of wireless sensor arrays
for slagging gasification systems that will provide real-time feedback on the
process operation and degradation under harsh operating conditions. The
technology will include the development of smart
refractory, which will contain embedded temperature, strain/stress, and
spallation sensors, throughout the volume of high-chromia
(-Cr2O3) refractory brick.
Collaborators: Ed Sabolsky
(Mechanical Engineering, PI), Debangsu bhattacharya (Chemical Engineering), David Graham (Analog
Electronics)
Received subcontract for DARPA Fixed Wireless At a Distance (FWID) project through The Samraksh
Company [September 2013]
The project is aimed at scaling dynamic,
mobile, peer-peer networks through application specific networking patterns.
Our tasks in this project are (i) to apply distance-sensitive data forwarding and
aggregation techniques to generate Common Operating Picture of a system of
mobile entities and study its scalability properties in systems of several thousands
of nodes, (ii) to design algorithms for generating statistical aggregates
(count, sum etc) on a large-scale network of mobile nodes, and (iii) conduct
parameter variation studies over network size, density, and motion patterns for
various ASNPs.
Participated in the College summer camp program [July
2013]
A network of TelosB
motes were used to highlight problems and solution ideas in distributed
computing, in an intuitive manner. The programs were developed as class
projects in the sensor networks class. The program was part of CEMR’s Engineers of Tomorrow: Transition to Engineering program that focuses on attracting and retaining
female and minority Appalachian high school students to STEM career.
DARPA Fixed Wireless Project meeting [March 2013]
We developed two protocols for this project:
(i) A protocol for obtaining distance-sensitive
Common operating picture in a mobile context and (ii) Census, a protocol for
generating statistical aggregates in a mobile network through a combination of
push and pull techniques. Both these ideas were well-received. The idea of distance-sensitivity was especially
seen as crucial for achieving scalability in acquisition of aggregate state
information.
Received subcontract for a DARPA Phase-1 project through
The Samraksh Company [October 2012]
Paper accepted at IEEE Vehicular Technology conference
(VTC) 2012
o
V.
Kulathumani, Y. Fallah, “An infrastructure-less
vehicular traffic information service with distance sensitive precision”,
IEEE Vehicular Technology Conference (VTC), 2012
Two papers accepted at ICDSC 2011
o
S.
Parupati, R. Bakkannagiri,
S. Sankar and V. Kulathumani, “Collaborative
acquisition of multi-view face images for real-time face recognition using a
wireless camera network”, ICDSC 2011
o
S.
Ramagiri, R. Kavi and V. Kulathumani,
“Real-time
multi-view action recognition using a wireless camera network”,
ICDSC 2011
Paper accepted for publication in IEEE TAC, Special issue
on WSAN
o
V.
Kulathumani, A. Arora and S. Ramagiri,
“Pursuit
Control over Wireless Sensor Networks using Distance Sensitivity Properties”,
Accepted for Publication in IEEE Transactions on Atomatic
Control, 56(10), 2011 Extended version
Awarded “Outstanding new researcher of the year
2009”, College of Engineering and Mineral Resources, WVU
Paper accepted at IPSN 2010 [April 2010]
o
B.
Rumberg, D. Graham, V. Kulathumani, Energy efficient sensor
networks using analog signal processing, IPSN 2010, Stockholm,
Sweden
Received DoD EPSCOR grant for
research on Intelligent surveillance systems using camera networks. [October
2009]
The goal of this project is to develop a
stationary heterogeneous camera network for detection and recognition of
various human activities in urban environment. The network will operate online
and will be optimized with respect to limited sensory, communication, and
computational resources. The main
focus of the project will be placed on designing the network architecture,
analyzing operational scenarios, on developing a high confidence event detector
(including the basic alert system), and on optimization of information sharing
in the network. The main research components are:
1. Design of
middleware services and network protocols for distributed event detection
2. Design of
cooperative communication strategies for bulk multimedia data transfer
3. Design of robust
event detectors using sparse coded data
Collaborators: Natalia Schmidt [PI], Xin Li, Brian
Woerner and Mathew Valenti
Duration: 3 years
Paper accepted at INSS 2009 [June 2009]
o J. Frigo, V.
Kulathumani, S. Brennan, E. Rosten,
E. Raby, Sensor Network Based Vehicle Classification and
License Plate identification System, International Conference on
Networked Sensing Systems (INSS), Pittsburgh, 2009
Received NSF CITeR grant for research
on face recognition using camera sensor networks [December 2008]
Network of image sensors combined with
biometric systems can form the building block for a variety of surveillance
applications such as airport security, protection of critical infrastructures
and restricted access to guarded assets. In relation to image sensor networks
our work is focused on collaborative face recognition using a network of camera
equipped PDAs. The goal of the project is real time, in-network extraction of
biometric content for face recognition. We are investigating the feasibility of
smart camera devices and hand held PDAs to assist in real time biometric
analysis. Such systems have the advantage of being portable, being covert and
also being scalable because of the lower costs involved. We are interested in
understanding the coverage requirements and in designing efficient algorithms
suitable for such limited resource devices.
Collaborators: Arun Ross, Bojan Cukic
Duration: 1 year
Paper accepted at ACM Transactions on Sensor Networks
[November 2008]
o V. Kulathumani
and A. Arora and M. Demirbas and M. Sridharan, Trail, A Distance Sensitive Network Sevice
for Distributed object tracking, ACM transactions on Sensor
Networks, 5(2), 2009, pp.1-40