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Short bio

He is currently enrolled as a PhD student at Department of Information Engineering and Computer Science, University of Trento, Italy, working in collaboration with the Technologies of Vision(TeV) group at Fondazione Bruno Kessler(FBK), Trento, Italy. His main focus of research is in the area of deep neural networks for multimedia understanding and description generation.
Previously he worked as a research staff member at Enview R&D Labs, India. He received his Master of Technology(M. Tech.) degree in Signal Processing from Sree Chitra Thirunal College of Engineering(University of Kerala), India in 2013. He completed his Bachelor of Technology(B. Tech.) in Electronics & Communication Engineering from Mar Baselios College of Engineering & Technology(University of Kerala), India in 2011.

Research interests
multimedia content analysis deep learning
Publications

1. Sudhakaran, Swathikiran, and Oswald Lanz. "Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017, pp. 2339-2346.

2. S. Sudhakaran and O. Lanz, "Learning to detect violent videos using convolutional long short-term memory," 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 2017, pp. 1-6.
doi: 10.1109/AVSS.2017.8078468

3. Sudhakaran S. and James A. (2016). Low Resolution Sparse Binary Face Patterns. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, ISBN 978-989-758-175-5, pages 186-191. doi: 10.5220/0005782601860191

4. Bakirov, Daniyar; Dorzhigulov, Anuar; Swathikiran, S; James, Alex Pappachen, "Activity detection with dendrite threshold model" ,Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on , vol., no., pp.2307-2310, 10-13 Aug. 2015  doi: 10.1109/ICACCI.2015.7275962

5. Sudhakaran, Swathikiran, and Alex Pappachen James. "Sparse distributed localized gradient fused features of objects." Pattern Recognition 48.4 (2015): 1534-1542.  doi:10.1016/j.patcog.2014.10.002

6. Kumar, N.S.; Kumar, D.S.; Swathikiran, S.; James, A.P., "Ancient indian document analysis using cognitive memory network", Advances in Computing, Communications and Informatics (ICACCI), 2014 International Conference on, vol., no., pp.2665-2668, 24-27 Sept. 2014  doi: 10.1109/ICACCI.2014.6968659