The Amrita Multidimensional Data Analytics Lab has been set up to enable research in large scale intelligent information systems. With the world facing unprecedented challenges, technology has a major role to play in efficiently solving many of them. Our goal is to develop large-scale information systems that can help tackle challenges in education, healthcare and support smart buildings and cities. Towards this we focus on end-end solutions that include designing innovative data models, scalable data management solutions, novel indexing techniques, intelligent retrieval and event-detection algorithms. To support research in these areas the lab provides hardware like dedicated GIS Server, UHF RFID readers, WiFi routers, sensors, quadkopters and handheld devices for applications like object and people tracking.

Faculty Incharge of Lab: Dr. Vidhya Balasubramanian


  1. High End Workstations
  2. Blade Server
  3. Passive RFID UHF Readers with Antennas
  4. Active RFID reader with antenna
  5. Handheld RFID reader with antenna
  6. Wifi Routers and Dongles
  7. Tablets
  8. Arduino boards and sensors



Indoor Information Representation and Management System (IIRMS)


  1. Vidhya Balasubramanian, “A Generic, Plug-and-Play Architecture for Indoor Information Systems”, NSDI 2013.
  2. Krishna Kumar P., Latha Parameswaran , “A Hybrid Method for Object Identification and Event Detection in Video”, National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, 18-21 December 2013, Jodhpur, India, pp. 1-4, Published in IEEE Explore.
  3. P. Shanmugaapriyan, H. Chitra, E. Aiswarya, Vidhya Balasubramanian, “A Pragmatic Approach for Effective Indoor Localization using IEEE 802.11n “, WiSARN 2014, Adhoc-Now 2014, Springer.
  4. K. N. Prasanth Krishnan, Sowmyanarayanan Krishnakumar, Raghav Seshadri, Vidhya Balasubramanian, “A Robust Approach for Maintenance and Refactoring of Indoor Radio Maps”, 13th International Conference, ADHOC-NOW, Benidorm Spain 8487, 360-373, Springer.
  5. Hemanth Malla, Preethish Purushothaman, Shivnesh V. Rajan and Vidhya Balasubramanian, “Object Level Mapping of an Indoor Environment using RFID”, Third International Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS), 2014.
  6. Amrutha H. and Vidhya Balasubramanian, “A Model Independent and User-Friendly Querying System for Indoor Spaces”, 20th International Conference on Management of Data (COMAD), December 2014.
  7. Vishal Chandrasekaran, Keshav Narayan, Romil Kumar Vasani and Vidhya Balasubramanian, “InPLaCE RFID: Indoor Path Loss Translation for Object Localization in Cluttered Environments”, IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015.
  8. Chakravartula Raghavachari, Aparna V., Chithira S., Vidhya Balasubramanian, "A Comparative Study of Vision based Human Detection Techniques in People Counting Applications", Second International Symposium on Computer Vision and the Internet, VisionNet-2015 , Procedia Computing.
  9. Amrutha H., “Developing A Model Independent Querying System For Indoor Spaces”, Master's Thesis, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, 2014
  10. Aiswarya E., Kavin S., Prasath S., Sruthi S., “Wi-Fi Based Indoor Localization”, B.Tech Thesis, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, April 2014

Context based Retrieval Systems


  1. Bindu K.R., Sandeep R. Nambiar, Jithin Chandran ,Latha Parameswaran, “Performance Evaluation of Algorithms for Expert finding on an Open Email dataset”, International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.73 (2015),pp.71-75
  2. Bindu K.R., Soumya K.V. and Latha Parameswaran , “Performance Evaluation of Topic Modelling Algorithms with an application of Q & A Dataset”, International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.73 (2015),pp.23-27
  3. R. Karthika, Latha Parameswaran,“ Study of gabor wavelet for face recognition invariant to pose and orientation”,International conference on soft computing systems (ICSCS-2015), Noorul  Islam Centre for higher education ,20-21 April  2015, Kumara Coil, kanyakumari, India
  4. S. Vishnumaya, R. Karthika, Latha Parameswaran “An Algorithm for Context Based Image Retrieval Using Haar Classifier”  International  Journal of Applied Engineering Research.

Customizable Product Recommender Systems


  1. Aravind Sivaramakrishnan, Madhusudhan Krishnamachari and Vidhya Balasubramanian, “Recommending Customizable Products: A Multiple Choice Knapsack Solution”, 5th International Conference on Web Intelligence, Mining and Semantics, WIMS 2015

Statistical Approaches to Generating Concept Graphs


  1. Asad Narayanan, Ashwath Ram R., Sandeep Kumar B., Jayendra R., Nithin C., “Automated Generation of Concept Graphs”, B.Tech Thesis, Amrita Vishwa Vidyapeetham, May 2013
  2. Sofia Francis, Lakshmi Priyanka S., Vidhya Balasubramanian, "Enhancing Statistical Semantic Networks with Concept Hierarchies" Fourth International Conference on Advances in Computing, Communications and Informatics (ICACCI-2015)

ACIST : Amrita Content based Indexing and Searching Tool


  1. Tejal Kishore Golechha, Ashwini A., P. Devika Nandanan, “Video Annotation Using Text Extraction”, B.Tech Thesis, Amrita Vishwa Vidyapeetham, April 2012
  2. Arun Balagopalan, Lalitha Lakshmi Balasubramanian, Vidhya Balasubramanian, Nithin Chandrasekharan, and Aswin Damodar. Automatic keyphrase extraction and segmentation of video lectures. In Technology Enhanced Education (ICTEE), 2012 IEEE International Conference on, pages 1-10,  2012.
  3. Vidhya Balasubramanian, Sooryanarayan Gobu Doraisamy, Navaneeth Kumar Kanakarajan, “ A multimodal approach for extracting content descriptive metadata from lecture videos”, Journal of Intelligent Information Systems, Springer, 2015, DOI 10.1007/s10844-015-0356-5
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