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Tripti Mahara
Tripti Mahara Assistant Professor tripmfpt[at]iitr.ac.in 9761714567
Areas of Interest
  • Analytics, Data Mining, Supply Chain Management, Recommender Systems, Ecommerce Adoption, Time Series Forecasting
Honors and Awards
AwardInstituteYear
Best Doctoral Paper Award12th International Conference of Society of Operations Management (SOM)2008
Educational Details
DegreeSubjectUniversityYear
Ph.DIndustrial and Management EngineeringI.I.T Kanpur2009
M.TechIndustrial and Management EngineeringI.I.T Kanpur2004
B.EComputer Science & EngineeringSardar Patel University1999
Teaching Engagements
TitleCourse CodeClass NameSemester
Enterprise Resource PlanningPP 441B.Tech 4th yearAutumn
Business StatisticsPP 416B.Tech 4th yearSpring
Quality ManagementPP 577MBASpring
E CommercePP 443B.Tech 4th yearAutumn
Supply Chain and Logistics ManagementPP 573MBAAutumn
Research Scholar Groups
Scholar NameInterest
SuryakantRecommender System
Rohit YadavEcommerce
Iram Naim Time Series Forecasting
Books Authored

Chapters in Books

1. Negi, T., Bansal, V., “Integrating Process and Data Model to aid Configuration of ERP Packages”, Lecture Notes in Business Information Processing (LNBIP), Springer Berlin Heidelberg, 2009.

2. Bansal, V., Negi, T., “A Metric for ERP complexity”, Lecture Notes in Business Information Processing, Springer Berlin Heidelberg, 2008. 

Refereed Journal Papers

PUBLICATIONS

Refereed Journal

 Surykant, Mahara .T, V. Jain, D. Jain, 2017, Sangaiah (2017), "LeaderRank based k-means clustering initialization method for collaborative filtering", Computers & Electrical Engineering, https://doi.org/10.1016/j.compeleceng.2017.12.001, IF = 1.48.

 Suryakant, Mahara. T, V Jain, D Jain, (2017), "Fuzzy logic based similarity measure for multimedia contents recommendation", Multimedia Tools and Applications,  https://doi.org/10.1007/s11042-017-5260-2, IF = 1.53.

 Suryakant, Mahara.T (2017), KMeansAtkinson Clustering approach for Collaboraive Filtering based Recommendation System, International Journal of Intelligent Systems Design and Computing (In Press)

Suryakant, Mahara. T(2017), Nearest Biclusters Collaborative Filtering Framework with Fusion, Journal of Computational Science, IF = 1.78.

Yadav. R, Mahara. T (2017), An Empirical Study of Consumers Intention to Purchase Wooden Handicrafts Items Online: Using Extended Technology Acceptance Model, Global Business Review, DOI: 10.1177/0972150917713899 (Scopus)

Suryakant, Mahara, T (2016), " Merging user and item based collaborative filtering to alleviate data sparsity" , International Journal of System Assurance Engineering and Management, 1-7. (Scopus)

 Suryakant, Mahara, T., (2016), " A New Similarity Measure Based on Mean Measure of Divergence for Collaborative Filtering in Sparse Environment", Procedia Computer Science, 89, 450-456.

 Yadav, R., Mahara, T., (2016), "An exploratory study to investigate value chain of Saharanpur wooden carving handicraft cluster",  Int J Syst Assur Eng Manag . doi:10.1007/s13198-016-0492-5. (Scopus)

 Mahara, T., “Benefit/Threat Analysis for Selection of ERP in Cloud for SMEs”, Asian Journal of Management Research (AJMR), 3, 3(2013): 365-373.

 Negi, T., Bansal, V., “A Methodology to Bridge Information Gap in ERP Implementation Life Cycle”, International Journal of Enterprise Information Systems (IJEIS), 9, 2(2013):70-82. (Scopus)

 Mahara, T., “Indian SMEs Perspective for ERP Selection in Cloud Environment”, Journal of International Technology and Information Management (JITIM),22, 1(2013): 

 

Conferences

Naim.I, Mahara. T, Kumar. S, (2017) Effect of Energy Resource Consumption Forecasting on Procurement Strategy: A Case of CFFP, BHEL, Hardiwar, 11th ISDSI International Conference held at IIM Trichy, December 27-30.

Yadav.R, Mahara. T., (2017) Empirical Investigation of e-commerce adoption by wooden handicraft SMEs of Saharanpur, India, 11th ISDSI International Conference held at IIM Trichy, December 27-30.

 

Miscellaneous
  • Conducted one day workshop on "Personalized Recommender System" under QIP on 12th December, 2015 at IIT Roorkee.