Sumod K Mohan
Contact *** ******* ****** +1-864-***-****
Information Apt No 6 *****@********.***
http://www.ces.clemson.edu/ sumodm
Clemson, SC, 29631, USA
Computer Vision, Machine Learning, Graph Algorithms, Pattern Recognition, and Robotics.
Research
Interests
Clemson University, South Carolina, USA.
Education
Ph.D, Electrical Engineering : Aug 2009-Dec 2011.
Discontinued.
Advisor: Dr Stanley T. Birch eld.
Bayesian Belief Propagation for tracking.
Graph-cuts for segmentation.
Clemson University, South Carolina, USA.
M.S., Electrical Engineering, Aug 2007-Aug 2009.
Advisor: Dr Tarek M. Taha.
Analyzed Neocortex inspired Hierarchical Temporal Memory model (HTM).
Developed STI Cell BE and other multi-core Implementation of HTM.
Analyzed Thomas Deans Hierarchical Expectation Re nement model(HERA).
Developed STI Cell BE and other multi-core Implementation of HERA.
Mahatma Gandhi University, Kerala, India
B.Tech., Electrical Engineering, Aug 2002 - Aug 2006.
SPARC APPocalypse : Mobile App Hackathon : Most Creative App and tied for Best App, 2011.
Honors and
IEEE Asia Paci c Meritorious Student Volunteer Award, 2005.
Awards
IEEE Kerala Section Meritorious Student Volunteer Award, 2005.
IEEE Student Branch FISAT Best Student Project Award, 2004.
Over 20 Awards and Honors for various technical competitions and debating.
Acceleration of Hierarchical Bayesian Network Based Cortical Models on Multi-core Architec-
Publications
tures, Pavan Yalamanchili, Sumod Mohan, Rommel Jalasutram, Tarek Taha, Elsevier Journal
of Parallel Computing, Volume 36, Issue 8, August 2010, Pages 449-468.
Implementing a Hierarchical Bayesian Visual Cortex Model on Multi-core Processors, Pavan
Yalamanchili, Sumod K Mohan, and Tarek Taha, at ACM SouthEast Conference 2009.
Parallelizing Two Classes of Neuromorphic Models on the Cell Multicore Architecture, Tarek
Taha, Pavan Yalamanchili, Mohammad A. Bhuiyan, Rommel Jalasutram, Sumod K Mohan,
IJCNN 2009, Pages 3046 - 3053.
Embedding robotics in civic monuments for an information world, Tarek H. Mokhtar, Keith
Evan Green, Ian D. Walker, Tony Threatt, Vidya N. Murali, Akshay Apte, Sumod K. Mohan,
CHI EA 2010.
Clemson University, South Carolina, USA
Professional
Graduate Research Assistant May 2011 Dec 2011
Experience
Dr David White, Dept. of Electrical and Computer Engineering.
Android Application development for Emergency Response System.
Development and maintenance of Intelligent River back-end.
Clemson University, South Carolina, USA
Graduate Lab Assistant, Student Unix Administrator August, 2007 Dec 2010
Dr Wayne Madison, School of Computing.
Solaris 9 and 10, CentOS, Ubuntu, installation, management and troubleshooting.
Experience with Apache, CUPS, DNS, Legato Networker, MPICH, Nagios, NIS, NFS, Perl
and Shell Scripting, Sendmail, serial console switches.
Indian Institute of Technology, Delhi, India
Research Associate, Nov 2006 June 2007
Dr Ajay Kumar Pathak, Dept. of Electrical Engineering.
Investigated multi-modal biometric fusion using Particle Swarm Optimization.
Programming Languages : C/C++, MATLAB/Octave, Java, Python, Perl, Shell scripting.
Computer
AI/Vision Tools : Code Composder Studio, CLIPS, Protege, Blepo Vision Library, OpenCV.
Skills
Processor Architectures : X86, PowerPC, Sparc, IBM CELL BE, Atmel AVR, TI DSP Controllers.
Operating Systems : GNU/Linux, Solaris, RT Linux, Windows.
Embedded system design course using DSP controllers, DOEACC, Kerala, India. Oct 06-Nov 06.
Publishing: L TEX 2
A
Vice President of Association for India s Development, Clemson Jun 08-Dec 09.
Activities
Mentor of FISAT FSUG Dec 06 - present.
Mentor of IEEE FISAT Student Branch Dec 06- present.
Editor of IEEE All Kerala Student Congress 2005 Newsletter.
Technical Advisor of IEEE All Kerala Student Congress 2005.
Founding member and co-ordinator of FISAT Free Software Users Group Aug 04-Aug 06.
Founding Vice Chairman, Webmaster and Technical Coordinator of IEEE Student Branch Nov 03-
Jun 05.
Obstacle Avoidance using Visual Potential Fields based paper by Liana Lorigo et al.
Graduate Projects
Color Canny edge detector on IBM CELL Broadband Engine.
Smart wall for club seating using face detection.
Intelligent monument for ood warning.
Various computer vision algorithms : Watershed Segmentation, Stereo Matching, Lucas Kanade
Tracker, Template Matching, Level Sets, Texture Synthesis, Head Tracking, Hough Tranform.
Various Machine Learning implementations : Back-propagation using Gradient Descent, K-
Means, SOFM, Neural Gas, SVM, LDA, PCA, ICA.
Simulation of superscalar processor, Development of graphics driver for virtual graphics card.
Formant Extraction using Linear Predictive Coding.
Undergraduate
Smart Room Controller
Projects
Intelligent Robotic car using ANN.
Image Processing, Computer Vision, Neural Networks, Machine Learning,
Relevant Courses
Knowledge Engineering, Graduate Algorithms, Advanced Algorithms, Advanced Data Structures,
Intelligent Robotic Systems, Architectural Robotics, Analysis of Robotic Systems,
Computer Vision Seminar, Graduate Algorithms Seminar,
Graduate Computer Architecture, Case Study of Operating Systems.
Undergraduate Courses : ANN, Fuzzy Systems, Linear Algebra, Optimization,
DSP, Control Systems, State Space Systems.
Available on request.
References