BITS Pilani

  • Page last updated on Tuesday, November 27, 2018

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ADAPT Laboratory

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ADAPT Laboratory
  • Research Areas

    • HPC for Big Data Analytics
    • Software stack for Big Data Analytics
    • Domain Specific Language (DSL) for Big Data Analytics
    • Parallelizing Compiler for DSL
    • Distributed and Concurrent Data Structures for Data Mining and Machine Learning
    • Anytime Mining
    • Stream Data Analytics

  • Ongoing Research Projects

    Project Title: A New Distributed Computing Framework for Data Mining
    Funding Agency: Department of Electronics and Information Technology (DEITY), Ministry of Communication and Information Technology, Govt. of India.
    Starting date: November, 2012
    Funding Amount: INR 120.20 Lakhs
    Project Duration: 3 Years
    Collaborators: Indian Agricultural Statistics Research Institute (IASRI), New Delhi
    Project in Pipeline: Designing and Developing a Scalable and Green High Performance Computing System for Big Data Analytics (To be submitted to Big Data Initiative Division, DST)

  • Past Research & Development Projects

    Not applicable

  • People

    Faculty & Research Scholars

    Name Designation
    Navneet Goyal (Incharge)
    Research Interests:
    Data Warehousing, Data Mining,
    Query Performance
    Professor, Department of Computer Science and Information Systems
    Room No: 6121-K
    Email - goel@pilani.bits-pilani.ac.in
    Personal Website : Click here
    Kamlesh Tiwari (Co-Incharge)
    Research Interests:
    Biometrics Security, Machine Learning
    Assistant Professor, Department of Computer Science and Information Systems
    Room No: 6120-N
    Email - kamlesh.tiwari@pilani.bits-pilani.ac.in
    Personal Website : Click here
    Sundar Balasubramaniam
    Research Interests:
    Software Architecture and Frameworks,
    Formal Methods and Security,
    Planning for Mobile Agents,
    Information Retrieval.
    Dean, Academic & Resource Planning
    & Professor, Department of Computer Science and Information Systems
    Email - sundarb@pilani.bits-pilani.ac.in
    Personal Website : Click here
    Poonam Goyal
    Research Interests:
    Data Mining, Algorithms
    Associate Professor, Department of Computer Science & Information Systems
    Room No: 6121-Q
    Email - poonam@pilani.bits-pilani.ac.in
    Personal Website : Click here
    Sonal Kumari
    Research Interests:
    Data Mining, High Performance Computing
    TCS Research Scholar
    Dept. of Computer Science & Information Systems
    Room No – 6115
    Email – sonal.kumari@pilani.bits-pilani.ac.in
    Personal Website : Click here
    Jagat Sesh Challa
    Research Interests:
    Data Mining, High Performance Computing, Distributed and Concurrent Data Structures
    Funded through DEITY Project
    Dept. of Computer Science & Information Systems
    Room No – 6115
    Email – jagatsesh@pilani.bits-pilani.ac.in
    Personal Website : Click here
     

    Saiyedul Islam
    Research Interests:
    High Performance Computing, Compiler Design, Data Mining
    TCS Research Scholar
    Dept. of Computer Science & Information Systems
    Room No – 6115
    Email – sislam@pilani.bits-pilani.ac.in
    Personal Website : Click here

    Prerna Kaushik
    Research Interests:
    Data Mining,High Performance Computing,Compiler Design
    Funded through DEITY Project
    Dept. of Computer Science & Information Systems
    Room No – 6115
    Email –h2013192@pilani.bits-pilani.ac.in
    Graduate Scholars
    Name Discipline
    Vivek Pandya M.E. Computer Science
    Undergraduate Scholars
    Name Discipline
    Rajat Arora B.E. (Hons.) Computer Science
    A S Aditya Sharma B.E. (Hons.) Computer Science ​
    Atishay Jain B.E. (Hons.) Computer Science
    Antil Singhal B.E. (Hons.) Computer Science ​
    Abhinav Baid B.E. (Hons.) Computer Science
    Ajinkya Kokondakar​ ​M.Sc. (Hons.) Economics and B.E. (Hons.) Computer Science
    Shivin Shrivastava B.E. (Hons.) Computer Science
    Ayushi Agarwal B.E. (Hons.) Computer Science​
    Akul Sareen​ M.Sc. (Hons.) Mathematics and B.E. (Hons.) Computer Science ​
    Ex – Scholars
    Name Discipline
    Nikhil S. M.E. Computer Science
    Satyaki Upadhyay B.E. (Hons.) Computer Science
    Saurabh Maurya B.E. (Hons.) Computer Science
    Shikhar Brajesh B.E. (Hons.) Computer Science
    Shikhar Vashishth M.Sc. (Tech.) Information Systems
    Harshit Jain B.E. (Hons.) Computer Science
    Ayush Kataria B.E. (Hons.) Computer Science
    Nitin Labhishetty B.E. (Hons.) Computer Science
    Siddarth Bhatia B.E. (Hons.) Computer Science
    Garima B. Pharm (Hons.) & M.Sc. (Tech.) Information Systems
    Abhishek Modi M.Sc. (Hons.) Mathematics & B.E. (Hons.) Computer Science
    Pranet Verma B.E. (Hons.) Electrical and Electronics
    Vivek Kishore M.Sc. (Tech.) Information Systems
    Rohan Badlani B.E. (Hons.) Computer Science
    Joel Ruben Antony Moniz B.E. (Hons.) Computer Science
    Anant Srinivas B.E. (Hons.) Computer Science
    Kshitij Kumar B.E. (Hons.) Computer Science
    Shubam Singh B.E. (Hons.) Computer Science
    Anoop Gharde B.E. (Hons.) Computer Science
    Shuchita Banthia B.E. (Hons.) Computer Science
    Siddhant Tuli B.E. (Hons.) Computer Science
    Ankit Kumar Sood M.E. Software Systems (Funded through DEITY Project)
    Mohit Sati M.Tech (ICT)
    Charu Priya Negi M.E. Computer Science
    Shashank Gupta M.E. Software Systems
    Aditya Mangla B.E. (Hons.) Computer Science
    Neha Jawalkar B.E. (Hons.) Computer Science
    Shruti Gupta B.E. (Hons.) Computer Science
    Aditya Pande B.E. (Hons.) Mechanical
    Dhruv Kumar B.E. (Hons.) Computer Science
    Deben Sahu M.E. Software Systems
    Sumit Sharma M.Sc. (Hons.) Mathematics & B.E. (Hons.) Computer Science
    Narayan Periwal M.Sc. (Hons.) Mathematics & B.E. (Hons.) Computer Science
    Mukul Bhutani B.E. (Hons.) Computer Science
    Ashwini Pokhe B.E. (Hons.) Computer Science
    Siddharth Bhatia M.Sc. (Hons.) Mathematics & B.E. (Hons.) Computer Science
    Shubam Agarwal B.E. (Hons.) Computer Science
    J Krishna Murthy M.Sc. (Tech.) Information Systems
    Vijayent Kohli M.E. Computer Science
    Avnish Chandra Suman M.E. Software Systems
    Makarand Muley M.E. Computer Science
    Aloka S M.E. Software Systems
    Arindam Paul M.E. Software Systems
    Varuni Ganesan M.E. Computer Science

  • Publications

    • Jagat Sesh Challa, Poonam Goyal, Vijay M. Giri, Dhananjay Mantri and Navneet Goyal, “AnySC: Anytime Set-wise Classification of Variable Speed Data Streams”, 2018 IEEE International Conference on Big Data (Big Data 2018), December 10-13, Seattle, USA.
    • Saiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal, and Navneet Goyal, “Pattern based Automatic Parallelization of Representative-based Clustering Algorithms”, IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018), October 1-4, Turin, Italy.
    • Chandramani Chaudhary, Poonam Goyal, Joel R A Moniz, Navneet Goyal and Yi-Ping Phoebe Chen, “Linguistic pattern and cross modality based image retrieval for complex queries”, In 2018 ACM International Conference on Multimedia Retrieval (ICMR 2018), Yokohama, Japan (Accepted)
    • Chandramani Chaudhary, Poonam Goyal, and Yi-Ping Phoebe Chen, "Exploiting Visual and Textual Neighborhood Information to Improve Image-Tag Relevance", In 2017 IEEE International Conference on Big Data 2017 (IEEE Big Data 2017), Boston, USA. (Accepted)
    • Poonam Goyal, Jagat Sesh Challa, Shivin Srivastava, and Navneet Goyal, "AnyFI: An Anytime Frequent Itemset Mining Algorithm for Data Streams", In 2017 IEEE International Conference on Big Data (IEEE Big Data 2017), December 11-14, Boston, USA. (Accepted)
    • Saiyedul Islam, Sundar Balasubramaniam, Poonam Goyal, Mohit Sati, and Navneet Goyal, "A Domain Specific Language for Clustering", Accepted for publication in 13th International Conference on Distributed Computing and Internet Technology (ICDCIT 2017), January 13-16, Bhubaneswar, India. (Poster Paper).
    • Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Navneet Goyal, and Sundar Balasubramaniam, “Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms”, Accepted for publication in 18th International Conference on Distributing Computing and Networking (ICDCN 2017), to be held in January 4-7, Hyderabad, India.
    • Jagat Sesh Challa, Poonam Goyal, Nikhil S., Aditya Mangla, Sundar Balasubramaniam, Navneet Goyal, "DDR-Tree: A dynamic distributed data structure for efficient data distribution among cluster nodes for spatial data mining algorithms", Accepted for publication in 2016 IEEE International Conference on Big Data (IEEE Big Data 2016), to be held in December 5-8, Washington DC, USA.
    • Poonam Goyal, Sonal Kumari, Sumit Sharma, Dhruv Kumar, Vivek Kishore, Sundar Balasubramaniam, and Navneet Goyal, “A fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality” Accepted for publication in 18th International Conference on High Performance Computing and Communications (HPCC 2016), to be held in December 12-14, Sydney, Australia.
    • Sonal Kumari, Saurabh Maurya, Poonam Goyal, Sundar Balasubramaniam, and Navneet Goyal, “A Parallel and Scalable Shared Nearest Neighbor Algorithm for Big Data,” Accepted for publication In 23rd IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2016), December 19-22, Hyderabad, India.
    • Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Saiyedul Islam, and Mohit Sati, "A High Performance Computing Framework for Data Mining". Accepted for publication in IEEE International Workshop on Foundations in Big Data Computing (HiPC 2016), December 19-22, Hyderabad, India.
    • Poonam Goyal, Sonal Kumari, Shubham Singh, Vivek Kishore, Sundar S Balasubramaniam and Navneet Goyal, "A Parallel Framework for Grid-based Bottom-up Subspace Clustering", Accepted for publication In IEEE 3rd International Conference on Data Science and Advanced Analytics (DSAA 2016), October 17-19, Montreal, Canada.
    • Poonam Goyal, Sonal Kumari, Sumit Sharma, Vivek Kishore, Navneet Goyal and Sundar S Balasubramaniam, "Spatial Locality Aware, Fast, and Scalable SLINK Algorithm for Commodity Clusters", Accepted for publication in IEEE Cluster 2016, September 13-15, Taipei, Taiwan. (Poster Paper)
    • Dhruv Kumar, Poonam Goyal and Navneet Goyal, "An Efficient Method for Batch Updates in OPTICS Cluster Ordering", in International Journal of Data Analysis Techniques and Strategies (IJDATS). (Accepted in June 2016)
    • Jagat Sesh Challa, Poonam Goyal, Nikhil S., Sundar Balasubramaniam, Navneet Goyal. "A concurrent k-NN search algorithm for R-tree". In 8th ACM Compute '15, October 2015, Ghaziabad, India. (Best Poster Paper Award)
    • Sonal Kumari, Anil Maheshwari, Poonam Goyal, and Navneet Goyal. "Parallel framework for efficient k-means clustering". In 8th ACM Compute '15, October 2015, Ghaziabad, India. (Best Paper Award)
    • Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam, and Jagat Sesh Challa. 2015. "Parallelizing OPTICS for Commodity Clusters". In Proceedings of the 2015 International Conference on Distributed Computing and Networking (ICDCN '15), January 2015, Goa, India.
    • Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, and Navneet Goyal. 2014. "Parallelizing OPTICS for multicore systems". In Proceedings of the 7th ACM India Computing Conference (COMPUTE '14), October 2014, Nagpur, India.

  • Opportunities Available

    To open the below given application form, please login through your BITS Email-ID
     

  • Events

  • High Performance Computing Facilities

    32 node cluster IBM x3250 M4 server, Intel Xeon Quad core 3.2 GHz Hyper Threaded Processor, 32 GB RAM, 2.2 TB HDD
    16 node cluster HP Proliant DL 140, Two Intel Xeon dual core 2.92 GHz Processors, 16 GB RAM, 160 GB HDD
    48-core SMP HP Proliant DL 580 gen8, Four Intel Xeon 12 core 2.29 GHz Hyper Threaded Processors, 192 GB RAM, 600 GB HDD
    12-core SMP Dell PowerEdge T710, Two Intel Xeon Hex core 2.92 GHz Processors, 32 GB RAM, 2.2 TB HDD
    NAS EMC2 VNXe 3100-Network Attached Storage Server - Capacity (36 TiB, Usable 21 TiB)
    Software Intel Cluster Studio XE 2013
    Vampir 8.4 Trace Analyzer
    ROCKS Cluster Distribution

  • Contact Us

    6115, New Academic Building (NAB)
    Dept. of Computer Science & Information Systems
    BITS-Pilani, Pilani Campus
    Vidhya Vihar
    Pilani - 333031
    Rajasthan
     
    Ph - +91 1596-51-5437
     
    Email: goel@pilani.bits-pilani.ac.in 

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