Anik Mukherjee - Department of Management Studies,Indian Institute of Technology Roorkee
Anik Mukherjee
Anik Mukherjee Assistant professor anik.mukherjee@ms.iitr.ac.in
Areas of Interest
  • Computational Advertising, Cloud Computing, Time Preference, Healthcare Analytics, Blockchain
Honors and Awards
AwardInstituteYear
Fulbright Nehru Doctoral Research FellowshipMuma College of Business, University of South Florida, USA2019
DAAD Master's Research FellowshipMercator School of Management, University of Duisburg-Essen, Germany2014
Educational Details
DegreeSubjectUniversityYear
PhDInformation SystemsIIT Madras2021
MS by ResearchInformation SystemsIIT Madras2015
B.TechInformation TechnologyJalpaiguri Government Engineering College2012
Referred Journal Papers
  • Time-preference-based on-spot bundled cloud-service provisioning, Anik Mukherjee, Sundarraj R P, Kaushik Dutta, Elsevier, 2021 , Decision Support Systems (ABDC A*)
  • Apriori Rule--Based In-App Ad Selection Online Algorithm for Improving Supply-Side Platform Revenues, Anik Mukherjee, Sundarraj R P, Kaushik Dutta, ACM, 2017 , ACM Transactions on Management Information Systems , 28 pages
International Conference Papers
  1. Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2015) “An online algorithm for programmatic advertisement placement in supply side platform of mobile advertisement”- 2015 Pacific Asia Conference on Information Systems (PACIS 2015), Singapore, p: 38.
  2. Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2015) “Online Programmatic Ad-Placement for Supply Side Platform of Mobile Advertisement: An Apriori Rule-generation Approach”- 25th Workshop on Information Technologies and Systems (WITS 2015), Dallas, Texas, USA.
  3. k Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2016) “On Considering Customer’s Shortterm Preferences for Resource Allocation in Cloud Computing Spot Markets”- 26th Workshop on Information Technologies and Systems (WITS 2016), Dublin, Ireland.
  4. Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2016) “In-app ad recommender system: application of automated negotiation in online advertising”- International Conference on Design Science Research in Information Systems and Technology (DESRIST 2016), Newfoundland, Canada.
  5. Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2017) “Users’ time preference based stochastic resource allocation in cloud spot market: Cloud provider’s perspective”- International Conference on Design Science Research in Information Systems and Technology (DESRIST 2017), Dublin, Ireland.
  6. Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2018) “Reusable design framework for online time-preference based real-time resource allocation”- International Conference on Design Science Research in Information Systems and Technology (DESRIST 2018), Chennai, India.
  7. Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2018) “Time-preference based cloud resource management”- 28th Workshop on Information Technologies and Systems (WITS 2018), San Francisco, California, USA.
  8. Anik Mukherjee, R. P. Sundarraj and Kaushik Dutta. (2019) “Cloud on-spot resource management problem”- International Conference on Design Science Research in Information Systems and Technology (DESRIST 2019), Massachusetts, USA.  
Book Chapter
  1. Sathyanarayanan Venkatraman, R. P. Sundarraj and Anik Mukherjee. (2016) “Prototype Design of a Healthcare-Analytics Pre-Adoption Readiness Assessment (HAPRA) Instrument”- DESRIST 2016 Springer LNCS Proceedings. Lecture Notes in Computer Science (Vol. 9661, p: 158-172)
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Credits : Information Management Group, IIT Roorkee
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