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Reserach Interest (Short):
1. Data Mining (text and video data )
2. Machine Learning
3. Statistical Signal Processing
4. Compressed Sensing
5. Computer Vision
Work Profile:
1. Codec Software Engineer : FastVdo RMC Ltd. Bangalore. ( 2005-2006)
Responsibilities : Developing signal processing application, Implementaing scalable multimedia codecs ( H.264, MPEG4 and AAC, MP3, AC3).
2. Research Fellow: Institute of Multi sensor processing and content analysis(IMPCA).Department of Computing, Curtin University, Perth WA 6152. (2010 - 2011). Responsibilities: Anomaly detection in video data, novelty detection in multi-channel text streams, Topic modelling etc.
Education:
1. Bachelor in Electrical Engineering From Jadavpur University , Kolkata , India.
2. Master of Technology - (Satellite Technology and Application)-From Indian Institute of Science , Bangalore , India.
3. PhD in Computer Sc: (Curtin University, Perth, WA).
Published work: 1. Budhaditya Saha, M. Lazarescu and S.Venkatesh. " Infrequent Item Mining in Multiple Data Stream" . Published in DSMM Workshop, IEEE International Conference in Data Mining (ICDM) Nebraska, USA 2007. 2. Budhaditya Saha, Duc Son Pham, M. Lazarescu and S.Venkatesh, " Effective Anomaly detection in Sensor Network Data Streams, In Proceedings of IEEE International Conference in Data Mining (ICDM), Miami , Florida, 2009. 3. Duc Son Pham, Budhaditya Saha, Dinh Phung and S.Venkatesh, Detection of Cross Channel Anomalies from Multiple Data Channels. In Proceedings of IEEE International Conference in Data Mining (ICDM), Vancouver, Canada, 2011.
4. Duc Son Pham, Budhaditya Saha, Dinh Phung and S.Venkatesh, Improved Subspace Clustering via Exploitation of Spatial Constraints. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), Providence, Rhodes Island 2012.
5. Duc Son Pham, Budhaditya Saha, Dinh Phung and S.Venkatesh, Detection of Cross Channel Anomalies . In Knowledge and Information Systems (KAIS) 2012. ( Accepted for Publication ).
Patent: Anomaly detection in video data (2010) : Budhaditya Saha, Duc-son Pham, Mihai Lazarescu, Svetha Venkatesh. Australia Patent application, Number: 2009901406/2009905937.
Commercialization : The Anomaly detection project is in the early stage of commercialization with a new company called iCetana Private Ltd. is formed.
Thesis :
1. Design of solid state relay for automatic signaling system in train lines. (Under Graduate).
2. Real Time implementation of MPEG-4 and H.264 video and AAC audio codec in Linux platform (Post Graduate).
3. Anomaly Detection in Large Scale Data streams. Budhaditya Saha (2010). (Doctoral Gradualte)
Research Interest (Details): Data Mining (that includes mainly video data mining and Text data mining). Machine Learning: (Interested in Graphical Modelling and Bayesian Network) Compressed Sensing and Sparse Learning Theory. (nonlinear optimization) Scalable Matrix Factorizations and Subspace Learning. For ex: PCA, SVD, NMF, Sparse PCA, Probabilistic Matrix Factorizations , nonlinear subspace learning, Subspace approximation, Subspace Tracking , Sampling theory and Dimensionality reduction, Massive Data stream computation, Matrix decomposition and approximation Minor: Data Compression , Discrete Mathematics , Linear Algebra. Major Coursework taken in UG and PG: (Related to work) Coursework taken (Not related to work) Launch Vehicle and propulsion system, Space dynamics, Satellite Architecture , Satellite Design, Remote Sensing and Image Interpretation, Aerospace navigation
Technical Reports:
5. Duc Son Pham, Budhaditya Saha, M. Lazarescu and S.Venkatesh,"Scalable Network-wide anomaly detection using compressed data", Technical Report, Institute of Multi Sesnor Processing and Content Analysis, Department of Computing, Curtin University of Technology, 2009. Unpublished work: 4. Budhaditya Saha, Duc Son Pham, M. Lazarescu and S.Venkatesh "Anomaly Detection in Large Scale Sensor Network Data Streams". 5. Budhaditya Saha, Duc Son Pham, M. Lazarescu and S.Venkatesh, " Detection of abnormal behavior in large scale public Transport Surveillance". Address: Office:
Residence : 7 OAK VIEW COURT, HIGHTON, GEELONG, VICTPRIA 3216
E-mail : budhaditya.saha@deakin.edu.au
Some useful collection 1. Bibliography of distributed stream mining.
2. Least Square Estimation : Gilbert Strang Lecture Series 3. Numerical Linear Algebra : SVD and Applications 4. OpenCv Wiki
5. Places I have Visited so far: Outside India: Perth 2006-2011
Singapore 2007
Sydney 2009
San-Fransisco 2009
Miami/Florida 2009
LosAngeles 2009
Charlotee 2009
Malaysia 2010-11
Seoul 2011
Vancouver 2011
In India: In one word it is countless. Usually I love to trek across the
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Quick Reference: Dictionary of Data Structure and Algorithms , Linear and Multi-linear algebra , Introduction to Group Theory , Algebraic Topology, (i)Lecture Notes on Topology , (ii) Topology Course Lecture Notes by Aisling McCluskey and Brian McMaster , Online dictionary of combinatorics, Number Theory, Survey on pseudo-randomness and compuational complexity, Terry Tao's page, Generalized Bloom filter, Hash functions , Mathematical topics in sensor net data processing, The Structure of Information Network: John Kleinberg , Practical Machine Learning : M.I.Jordan, LIBSVM - Library for Support Vector Machine(SVM), SVM Software , The Mathematics and application of Random matrix, Readings, Spectral Graph Theory
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