Computer Science Engineering
Resume:
Narayanan C Krishnan
**** ** ******* *****, *** # A10, Pullman, WA 99163
Phone: 480-***-****. E-Mail: ***@****.***.***
Research Interests
Theory: Pattern Recognition, Machine Learning, Pervasive Computing, Multimedia Computing
Applications: Activity Recognition, Pervasive Health Care, Assistive and Rehabilitative Systems
Education
Ph.D in Computer Science and Engineering 2010
Advisor: Prof. Sethuraman (Panch) Panchanathan
Arizona State University, Tempe, AZ, USA
Dissertation Title: A Computational Framework for Wearable Accelerometer Based Activity and Gesture
Recognition.
CGPA: 4.00/4.00
Masters in Technology (Computer Science) 2004
Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, AP, India
CGPA: 5.00/5.00
Masters in Science (Mathematics) 2002
Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, AP, I ndia
CGPA: 4.96/5.00
Bachelors in Science (Mathematics) 2000
Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, AP, India
CGPA: 4.87/5.00
Work Experience
Assistant Research Professor September 2011 Present
School of Electrical Engineering and Computer Science,
Washington State University
Postdoctoral Research Associate October 2010 August 2011
School of Electrical Engineering and Computer Science,
Washington State University
Graduate Research Associate August 2007 September 2010
Center for Cognitive Ubiquitous Computing
School of Computing, Informatics and Decision Systems Engineering,
Arizona State University
Graduate Teaching Associate August 2005 May 2009
School of Computing, Informatics and Decision Systems Eng ineering,
Arizona State University
Engineer Intern February 2005 May 2005
MotionEase Inc, Bangalore, India
Project Associate July 2004 January 2005
Department of Electrical Engineering,
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Indian Institute of Science, Bangalore, India
Honors and Awards
Nominated for best PhD Thesis Award, 2010
School of Computing, Informatics and Decision Systems Engineering
Arizona State University
Student Project Funding 2009
Office of Academic and Student Affairs,
Arizona State University
Invited membership to The Honor Society of Phi Kappa Phi 2007
For academic success in graduate program
Arizona State University
The President of India Dr. A. P. J. Abdul Kalam Gold Medal 2004
For academic excellence in Masters in Technology (Computer Science)
Sri Sathya Sai Institute of Higher Learning, India
Publications
Under Review:
1. D Cook, A S Crandall, B L Thomas, N C Krishnan, CASAS: A Smart Home in a Box, submitted to IEEE
Computers, 2012.
2. D Cook, N C Krishnan, Z Wellminger, Scaling Activity Recognition using Activity Taxonomies, submitted to
IEEE Transactions on Knowledge and Data Engineering, 2012.
3. B Das, N C Krishnan, D Cook, WRACOG: A Wrapper Approach to Oversampling for Learning from
Imbalanced Class Datasets, submitted to Journal of Machine Learning Research, 2012.
Journal Articles and Book Chapters
D Cook, K D Feuz, N C Krishnan, Transfer Learning for Activity Recognition: A Survey, Springer
1.
International Journal on Knowledge and Information Systems, 2012 (To appear).
N C Krishnan, D Cook, Activity Recognition on Streaming Sensor Data, Journal of Pervasive and Mobile
2.
Computing, 2012 (To appear).
B Das, N C Krishnan, D Cook, Handling Imbalanced and Overlapping Classes in Smart Environments
3.
Prompting Dataset, Springer book on Data Mining for Service, 2012 (To appear).
B Das, N C Krishnan, D Cook, Automated Activity Interventions to Assist with Activities of Daily Living,
4.
IOS Press book on Agent-Based Approaches to Ambient Intelligence, 2012 (To appear).
N C Krishnan, S Panchanathan, Body Sensor Networks for Activity and Gesture Recognition, Springer Book
5.
on Wireless Sensor Networks, 2012 (To appear).
D Cook, N C Krishnan, P Rashidi, Activity Discovery and Activity Recognition: A New Partnership, IEEE
6.
Transactions on systems, man and cybernetics Part A, 2012 (To appear).
P Rashidi, N C Krishnan, D Cook, Discovering and tracking patterns of interest in security sensor strea ms, In
7.
Securing Cyber-Physical Infrastructures, Eds: S Das, K Kant and N Zhang, 2011.
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N C Krishnan, C Juillard, D Colbry, S Panchanathan, Recognition of hand movements using wearable
8.
accelerometers, in the Journal of Ambient Intelligent and Smart Environme nts, Special Issue on Wearable
Computing, Vol. 1 (2), pp. 143 156, 2009
Conference and Workshop Articles
S Dernbach, B Das, N C Krishnan, B L Thomas, D Cook, Activity Recognition on Smart Phones, IEEE
1.
International Conference on Intelligent Environments, 2012
A Crandall, L Zulas, K Feuz, N C Krishnan, D Cook, Visualizing Your Ward: Bringing Smart Home Data to
2.
Caregivers, ACM CHI workshop on Emerging Technologies for Healthcare and Aging, 2012
Yasamin Sahaf, N C Krishnan, D Cook, Defining Activity Complexity, AAAI workshop on Activity and
3.
Context Representation, 2011.
R Chattopadhyay, N C Krishnan, S Panchanathan, Hierarchical domain adaptation for SEMG signal
4.
classification across multiple subjects, submitted to 33rd IEEE Conference on Engineering in Medicine and
Biology, USA 2011.
N C Krishnan Scalable Activity Recognition, NSF workshop on Pervasive Computing at Scale, Lead on
5.
Machine Learning, Behavior Modeling and Data mining, USA, 2011.
R Chattopadhyay, N C Krishnan, S Panchanathan, Topology preserving domain adaptation for addressing
6.
subject based variability in SEMG signal, AAAI spring symposium on Computational Physiology, Palo Alto,
USA, 2011
Prasanth Lade, N C Krishnan, S Panchanathan, Task prediction in cooking activities using hierarc hical state
7.
space Markov chain and object based task grouping, IEEE International symposium on Multimedia workshop
on multimedia for cooking and eating activities, Taichung, Taiwan, 2010.
Ashok Venkatesan, N C Krishnan, S Panchanathan, Cost sensitive boosting for concept Drift, accepted to
8.
European Conference on Machine learning workshop on handling concept drift in Adaptive Information
systems, Barcelona, Spain, 2010.
N C Krishnan, L Prasanth, S Panchanathan, Activity gesture spotting using a threshold mod el based on
9.
Adaptive Boosting, International Conference on Multimedia and Expo, Singapore, 2010
10. N C Krishnan, G N Pradhan, S Panchanathan, Recognizing short duration hand movements from
accelerometer data, ICME workshop on Multimedia Aspects in Pervasive H ealth Care 2009.(Invited Paper)
11. S Krishna, N C Krishnan, S Panchanathan, Detecting Stereotype body rocking behavior through embodied
Motion sensors, accepted in Rehabilitation Engineering and Assistive Technology Society of North America
Annual Conference, 2009
12. S Panchanathan, N C Krishnan, S Krishna, T McDaniel, V Balasubramanian, Enriched human -centered
multimedia computing through inspirations from disabilities and deficit centered computing solutions, ACM
MM 3rd Workshop on Human Centered Computing, Vancouver, Canada, 2008.
13. N C Krishnan, D Colbry, C Juillard, S Panchanathan, Real time human activity recognition using tri -axial
accelerometers, Sensors Signals and Information Processing Workshop, Sedona, USA, 2008.
14. N C Krishnan, S Panchanathan, Analysis of low resolution accelerometer data for human activity
recognition, International Conference on Acoustic Speech and Signal Processing, ICASSP Las Vegas, USA
2008
15. S Krishna, V Balasubramanian, N C Krishnan, C Juillard, T Hedgpeth, S Panchanathan, A wearable wireless
RFID system for accessible shopping environments, 3rd Intl Conference on Body Area Networks
(BodyNets 08), Tempe, USA, 2008
16. S Krishna, V Balasubramanian, N C Krishnan, T Hedgpeth, The iCARE Ambient Interactive Shopping
Environment, California State University, Northridge, Center on Disabilities' 23rd Annual International
Technology and Persons with Disabilities Conference (CSUN 2008), Los Angeles, USA, 2008.
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17. N C Krishnan, B Li, S Panchanathan, Detecting and classifying frontal, back and profile vie ws of humans,
International conference on Vision theory and applications (VISAPP 2007), Barcelona, Spain, 2007
18. J A Black, S B Braiman, N C Krishnan, S Panchanathan, The role of eye movement signals in dorsal and
ventral processing, SPIE Conference on Human Vision and Electronic Imaging (HVEI 2007), San Jose, USA,
2007
19. K Kahol, N C Krishnan, V Balasubramanian, S Panchanathan, M Smith, J Ferrara, Measuring movement
expertise in surgical tasks, ACM Multimedia Conference, Santa Barbara, USA, 2006.
20. B S Raghavendra, N C Krishnan, G Sita, A G Ramakrishnan, M Sriganesh, Prototype learning methods for
online handwriting recognition, International Conference on Document Analysis and Recognition (ICDAR
2005), Seoul Korea, 2005
21. P Saravanan, N C Krishnan, P V S S Prakash, G V P Rao, Techniques for video mosaicing, World Enformatika
Conference, Istanbul, Turkey, 2005
22. N C Krishnan, M C Prakash, G V P Rao, High-level feature extraction in JPEG compressed domain, SPIE
International symposium on optical science and engineering, USA, 2004.
Other
1. N C Krishnan, Study on audio correlates of stress and team performance during code blue in ICU, Work
conducted in collaboration with Dr.Bhavesh Patel from Mayo Clinic, Phoenix, 2010
2. N C Krishnan, A Venkatesan, R Chattopadhyay, S Panchanthan, Accelerometric feature analysis for
movement pattern recognition, Technical Report, TR_CUBIC2010.
3. N C Krishnan, G. Pradhan, S. Panchanathan, Cognitive Orthotic for Prompting Tasks in Complex ADL,
Arizona Alzheimer s Research Consortium, Annual Conference, 2009.
4. N C Krishnan, D Colbry, C Juillard, S Panchanathan Real time human activity recognition using tri -axial
accelerometers Poster in symposium on Co-Adaptive Learning: Adaptive Technology for the Aging, Arizona
State University, 2009
5. N C Krishnan, Low resolution accelerometer data for human activity recognition, Research in Engineering &
Applied Sciences (REAS) Symposium, Arizona State University, 2007
6. N C Krishnan, S Balasubramaniam, G V P Rao, Image processing in the J PEG compressed domain,
symposium on emerging trends in Computer Science Technology, Rajiv Gandhi Memorial Institute of
Technology, India, 2004
Invited Talks and Tutorials
Machine Learning for Pervasive Computing Applications, Research Seminar, School of El ectrical Engineering
and Computer Science, Washington State University, 2012.
Sensor Based Human activity Recognition Tutorial Presentation at International Conference on Multimedia
and Expo, 2010.
Sensor Based Human Activity Monitoring Sri Sathya Sai Institute of Higher Learning, 2010.
A Computational Framework for Wearable Accelerometer Based Gesture and Activity Recognition, NSF -
IGERT Seminar, Washington State University, 2010.
Recognition of Short Duration Hand Movements through Wearable Accelerome ters, ICME workshop on
Multimedia Aspects in Pervasive Health Care, 2009.
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Grant Proposals
AAAI Fall Symposium 2012: AI for Gerontechnology Student Travel Fund, submitted to NSF IIS-SHB
program, Role: Principal Investigator, 2012.
Scaling Human Behavior Modeling with a Community of Smart Home Datasets, submitted to NSF BigData
program (Mid Scale), Role: Co-Principal Investigator, 2012.
Objective Measures for Functional Status Through Smart Home Technologies, submitted to Alzheimer s
Association, Everyday Technology for Alzheimer s Care Program, Role: Principal Investigator, 2012.
Smart Environment Technology for Longitudinal Behavior Analysis and Intervention, submitted to NIH
Program on Technologies for Independent Living, PI Diane J. Cook, Role: Research Associate, 2012.
A Noninvasive Cognitive Decline Monitoring System, submitted to NSF Smart Health and Well Being
Program (Type 2), Role: Co Principal Investigator, 2012.
The iCare Ambient Interactive Shopping Environment, NSF-IIS Exploratory Grant 739774, PI Terri
Hedgepeth, Role: Co-Author, 2007.
Participated in writing proposals to NSF and SOCOM (2007 -2010) while a research associate at the Center for
Cognitive Ubiquitous Computing.
Professional Service
Co Chair, AAAI Fall Symposium on AI for Gerontechnology, 2012
Publicity Chair, International Symposium on Haptic Audio-Visual Environments and Games (HAVE), 2010.
Program Committee Member:
International Workshop on Situation, Activity and Goal Awareness, (Part of UbiComp) 2011,
o
2012
Activity and Context workshop at AAAI, 2012.
o
6th International Workshop on AI Techniques for Ambient Intelligence, 2011
o
ACM International Conference on Information and Knowledge Management, 2011
o
International Workshop on Machine Learning for Human Behavior Understanding and Assisted
o
Living (Part of ICMLA), 2011
Reviewer:
Journal of Pervasive and Mobile Computing
o
IEEE Pervasive Computing
o
ACM Transactions on Intelligent Systems and Technology
o
Journal of Visual Communication and Image Representation
o
Sensors Journal
o
ACM UbiComp 2012
o
International Journal of Telemedicine and Applications
o
Journal on Transportation Research Part C: Emerging Technologies
o
Assisted in reviewing papers submitted to ICIP (2007-08), ICME (2007-10), ICPR (2008, 2010),
o
ICGVIP (2008), ICASSP (2008-10) and BSN (2008).
Member: IEEE, ACM
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Teaching Experience
Machine Learning, CptS 570-01,Fall 2012, School of Electrical Engineering and Computer Sc ience,
Washington State University.
Co-Instructor, CptS 580, Advanced Topics in Machine Learning, Fall 2011, School of Electrical Engineering
and Computer Science, Washington State University.
Classroom Lectures on Dimensionality Reduction, Feature Selection and Transfer Learning
o
Designed and evaluated the homework on dimensionality reduction and feature selection .
o
Teaching Associate, Department of Computer Science and Engineering, Arizona State University
Courses:
o
CSE 181 Applied Problem Solving with Visual BASIC (2005-06)
CSE 360 Introduction to Software Engineering (2006-07)
CSE 485/486 Computer Science Capstone Project (2007-2009)
Role: Administrative responsibilities over other TAs and graders, Office hours to interact with
o
students on course work, Issues related to Grading (design criteria, solutions and addressing
student queries) and Assist in examination sessions.
Student Mentoring
Graduate Students:
Rita Chattopadhyay, 2010
o
Ashok Venkatesan, 2011
o
Undergraduate Students:
Colin Juillard, 2008
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Sean Phillip, 2009
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Contact this candidate