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Subhash Bhalla
Professor Emeritus, (BS,MS,PhD IIT Delhi, India)
Email : c21bhala [ AT ] u-aizu.ac.jp ;
EMAIL - bhalla.subhash [ AT ] gmail [dot] com ;
Background Data

Prof. Bhalla joined the faculty of Jawaharlal Nehru University (JNU), New Delhi in 1986, at the School of Computer and Systems Sciences. He was a Visiting Scientist at Sloan School of Management, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA (1987-88). He is a member of the Computer Society of IEEE and SIGMOD of ACM. He is with the Department of Computer Software at the University of Aizu. He has also toured and lectured at many industries for conducting feasibility studies and for adoption of modern techniques. He has received several grants for research projects. Prof. Bhalla currently participates in research activities on- New query languages, Big data repositories in science and astronomy, Standardized Electronic Health Records, Polystore Data Management, Edge Computing and Cloud based Databases. He is exploring database designs to support models for Information Interchange throgh the World wide Web.

Research/Educational Interests

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Selected Publications (2018 - 2022)


2022

  • "Using Knowledge Graph Structures for Semantic Interoperability in Electronic Health Records Data Exchanges". Information journal Vol. 13(2): 52 (2022).

  • "Big-Data-Analytics in Astronomy, Science, and Engineering" - 9th International Conference on Big Data Analytics, BDA 2021 , Edited Volume of Proceedings. Lecture Notes in Computer Science 13167, Springer 2022, ISBN 978-3-030-96599-0.
    2021

  • "Open data integration model using a polystore system for large scale scientific data archives in astronomy". Int. J. Comput. Sci. Eng. 24(2): 116-127 (2021).

  • "Blockchain for committing peer-to-peer transactions using distributed ledger technologies". Int. J. Comput. Sci. Eng. 24(3): 215-227 (2021).

  • "Semantic IoT: Theory and Applications - Interoperability, Provenance and Beyond". Studies in Computational Intelligence Series - Edited Book, Vol. 941, Springer 2021, ISBN 978-3-030-64618-9.
    2020

  • "A Novel Deep Similarity Learning Approach to Electronic Health Records Data". IEEE Access 8: 209278-209295 (2020).

  • "Algorithms for Intelligent Systems Series (volume on)", Procedings of International Conference on Computational Science and Applications, 7-9 August, Computer Science, Springer 2020, ISBN 978-9-811-50789-2.
    2019

  • "Relational-like Query Language for Archetypes in Standardized Electronic Health Records Databases", COMAD/CODS 2019, Jan 2019, Kolkata, pp. 272-275.

  • "Segment-Search vs Knowledge Graphs: Making a Key-Word Search Engine for Web Documents", BDA 2019, Dec. 2019, Ahmedabad, pp. 88-107 , LNCS vol. 11932, Springer 2019, ISBN 978-3-030-37187-6.

  • "Development of a Polystore Data Management System for an Evolving Big Scientific Data Archive", Poly/DMAH Workshops at VLDB 2019, Aug 2019, LA, USA, LNCS Vol. 11721, Springer 2019, ISBN 978-3-030-33751-3, pp. 167-182.

  • "Data Security in Mobile Cloud Computing", SUSCOM 2019, Feb. 26-28, Jaipur, Available at SSRN abstract_id 3352362.
    2018

  • "PDSPTF: Polystore Database System for Scalability and Access to PTF Time-Domain Astronomy Data Archives", Poly/DMAH@VLDB 2018 , pp. 78-92, Proc. Published in LNCS.

  • "Entity Attribute Value Style Modeling Approach for Archetype Based Data", Information, Vol. 9(1),No. 2, (2018).

  • "Polystore Data Management Systems for Managing Scientific Data-sets in Big Data Archives", BDA 2018, Warrangal, Dec. 2018, published in LNCS, pp. 217-227.

  • "Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit", IEEE Conference on BigData 2018, pp. 723-732.