Rajib Goswami,Ph.D.
Email: rgos@tezu.ernet.in

Phone: (91) 9435080067

Alma mater:

Cotton College, Gauhati University, Assam Engineering College, Tezpur University.

Areas of interests:

Multi-objective optimization, Stochastic MOO algorithms, Data Warehouse and Web-based DSS.

Expertise:

Doctoral Thesis:

(i)University ERP/e-Gov/MIS projects,
(ii)Evolutionary optimization programming.

Multi-Objective Optimization in Selection of Views to Materialize in Data Warehouses.

Major Contributions to Tezpur University:

(i)Co-ordinator of University e-Gov/ERP project since 2019.
(ii) Developed and commissioned Tezpur University Pay-Roll System (Version 1 during 1999) .
(iii) Developed and implemented Web-based Employee Management System (2002).
(iv) Web based Income Tax Management System has been developed and integrated to Payroll and Accounting system (2009).

(v)Supervised implementation and successfull commissioning of third party software from financial year 2017-18.
(vi) Co-ordinated DOEACC Training programme during 2002- 2009.
(vii) Teaching Computer and IT related subjects at PG level of non- computer science programmes since 1997.
(viii) Involved in training programmes for administrative and office staff of the University on ICT since 1997.
(ix) Involved in the process of first time installation of Tezpur University Internet connectivity, mail server and web-server etc. during 1998-1999.

(x) Supervised more than thirty (30) P.G level major and minor projects.

(xi) Co-ordinated UGC-CEC Edusat classrooms and Satellite Interactive Terminal from 2005 till 2010.

(xii) Designed the pioneering version of Tezpur University website (Web-master during 1998-2000).

Other professional contributions:

(i) Developed Web-based DSS for large river basins with multiple stakeholders.
(ii) AMOSA-MVS and MODE-BE algorithms for materialized view selection for MapReduce based Big-data DFS data warehouses.

Important publications:

[2016-17]

Goswami, R., Bhattacharyya, D.K., Dutta, M.: Materialized View Selection Using Evolutionary Algorithm for Speeding up Big Data Query Processing. In Kerschberg, L.; Ras, Z. (Eds.) Journal of Intelligent Information Systems, Springer , ISSN 0925-9902, J Intell Inf Syst DOI 10.1007/s10844-017-0455-6, March, 2017.

[2014-15]

Goswami, R., Bhattacharyya, D.K., Dutta, M. and Kalita J.K. : Approaches and Issues in View Selection for Materializing in Data Warehouse, International Journal of Business Information Systems, Inderscience, Vol. 21, No. 1, pp. 17 - 47, 2016, DOI: 10.1504/IJBIS.2016.073379.

[2013-14]

Goswami, R., Bhattacharyya, D.K., Dutta, M.: Multiobjective Differential Evolution Algorithm Using Binary Encoded Data in Selecting Views for Materializing in Data Warehouse. In: Panigrahi, B.K.; Suganthan, P.N.; Das, S.; Dash, S.S. (Eds.)Swarm, Evolutionary, and Memetic Computing. 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part II, LNCS, Vol. 8298, pp 95-106. Springer (2013), DOI 10.1007/978-3-319-03756-1_9, Print ISBN 978-3-319-03755-4, ISSN 0302-9743.

[2012-13]

Goswami, R., Bhattacharyya, D.K., Dutta, M.: Selection of views for materializing in data warehouse using MOSA and AMOSA. In: Wyld, D.C., Zizka, J., Nagamalai, D. (Eds.) Advances in Computer Science, Engineering & Applications. AISC, vol. 166, pp. 619 - 628. Springer, Heidelberg (2012), DOI 10.1007/978-3-642-30157-5_62, Print ISBN 978-3-642-30156-8, ISSN 1867-5662, Citation 3.

[2011-12]

Goswami, R. , Bhattacharyya, D.K, Dutta, M., "Approaches and Issues in View Selection for Materializing in Data Warehouse", in book "Machine Intelligence - Recent Advances", Narosa, New Delhi, pp.76-82, 2011, ISBN: 978-81-8487-140-1.

[2008-2009]

Goswami, R., Barua, P.: Web-Based Decision Support System: Concept and Issues. In: D. Laha & P. Mandal (Eds.) Handbook of Computational Intelligence in Manufacturing and Production Management. Information Science Reference, pp. 300-315. IGI Global, Hershey, New York, (2008), ISBN-10: 1599045826, ISBN-13: 978-1599045825

[2006-2007]

Barua, P., Mandal, P., Goswami, R., : A Web Based Decision Support System for Analyzing Water Resources Management Policy, Proceedings of 2006 Annual Conference, pp.25-34, Decision Sciences Institute, Southwest Region, March 1-4, 2006, Oklahoma City, OK (2006).

[2005]

BARISS (BAsin and River Information and Simulation System): A Web Based DSS for Water Resources using System Dynamics Model, 23rd International Conference of the System Dynamics Society, July 17 - 21, 2005, Boston, USA, Edited by: John D. Sterman, Nelson P. Repenning, Robin S. Langer, Jennifer I. Rowe, Joan M. Yanni, ISBN 0-9745329-2-4, pp.47-48, The System Dynamics Society (2005)