I'm a research fellow in Dept of Computing, Curtin university of Technology. I am working with Institute of Multi sensor processing and content analysis(IMPCA). My major research area in data mining, machine learning and statistical signal processing. Education: Bachelor in Electrical Engineering From Jadavpur University , Kolkata , India. Thesis : Design of solid state relay for automatic signaling system in train lines. Master of Technology - (Satellite Technology and Application)-From Indian Institute of Science , Bangalore , India. Thesis: Real Time implementation of MPEG-4 and H.264 video and AAC audio codec in Linux platform. Research Interest: 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. Current Project : Text Data Mining. Interested in Topic Modelling (Latent Dirichlet Allocation (LDA), document modelling, novelty detection in news data . Major Coursework taken in UG and PG: (Related to work) Credited : Audited: Data Structure and Algorithms, Image Processing, Programming technique and scripting languages Coursework taken (Not related to work) Launch Vehicle and propulsion system, Space dynamics, Satellite Architecture , Satellite Design, Remote Sensing and Image Interpretation, Aerospace navigation 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) to be held in Vancouver, Canada, 2011. Thesis : Anomaly Detection in Large Scale Data streams. Budhaditya Saha (2010). Patent: Anomaly detection in video data (2010) : Budhaditya Saha, Duc-son Pham, Mihai Lazarescu, Svetha Venkatesh. Australia Patent application, Number: 2009901406/2009905937. 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". Commercialization : The Anomaly detection project is in the early stage of commercialization with a new company called iCetana Private Ltd. is formed. Address: Office: Intelligent System Lab, Room no : 420, Department of computing, Curtin University of Technology, Perth , WA-6101 , Phone No : (0061)(8)(92669884). Residence : 2/24 Melinga Ct, Karawara , Perth WA- 6152 , Phone No:(0061)(8)(94507891). E-mail : b.saha@curtin.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, Singapore 2007, Sydney 2009, San-Fransisco 2009, Miami/Florida 2009, LosAngeles 2009, Charlotee 2009, Malaysia 2010-11 In India: In one word it is countless. Usually I love to trek across the Himalayan ranges. I did it couple of times before ( mainly in Garhwal Region ). Hope Once done with my work, I love to go back India and travel as much as I can.
| 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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