Aravind Mohan

Research Articles (11)
  1. Aravind Mohan, Mahdi Ebrahimi, Shiyong Lu, and Alexander Kotov , “Scheduling Big Data Workflows in the Cloud under Budget Constraints”, accepted to the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington D.C., USA 2016.  
  2. Aravind Mohan, Mahdi Ebrahimi, Shiyong Lu, and Alexander Kotov , “A NoSQL Data Model For Scalable Big Data Workflow Execution”, IEEE International Congress on Big Data, 2016.   
  3. Mahdi Ebrahimi, Aravind Mohan, Andrey Kashlev, Shiyong Lu, and Robert Reynolds , “Task and Data Allocation Strategies for Big Data Workflows”, International Journal of Big Data (IJBD), 2016.   
  4. Mehedi Hasan, Alexander Kotov, Aravind Mohan, Shiyong Lu, and Paul Stieg , “Feedback or Research: Separating Pre-purchase from Post-purchase Consumer Reviews”, in Proc. of the 38th European Conference on Information Retrieval (ECIR 2016), Padua, Italy., 2016.   
  5. Mahdi Ebrahimi, Aravind Mohan, Shiyong Lu, and Robert Reynolds, “TPS: A Task Placement Strategy for Big Data Workflows”, in Proc. of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA., 2015.  
  6. Aravind Mohan, Mahdi Ebrahimi, Shiyong Lu, “A Folksonomy-Based Social Recommendation System for Scientific Workflow Reuse”, in Proc. Of the IEEE International Conference on Services Computing (SCC), New York, USA, 2015.   
  7. Aravind Mohan, Shiyong Lu, and Ke Zhang, “Towards an Online Service for Learning Computational Thinking Using Scientific Workflows”, in Proc. Of the IEEE International Conference on Services Computing (SCC), New York, USA, 2015.  
  8. Mahdi Ebrahimi, Aravind Mohan, Andrey Kashlev, and Shiyong Lu, “BDAP: A Big Data Placement Strategy for Cloud-Based Scientific Workflows”, in Proc. of the First IEEE International Conference on Big Data Computing Services and Applications, San Francisco, USA, 2015.  
  9. Zaihan Yang, Alexander Kotov, Aravind Mohan and Shiyong Lu, “Parametric and Non-parametric User-aware Sentiment Topic Models”, in Proc. of the 2015 ACM SIGIR Conference, Santiago, Chile, 2015.  
  10. Aravind Mohan, Shiyong Lu, Alexander Kotov, “Addressing the Shimming Problem for Big Data Scientific Workflows”, in Proc. Of the IEEE International Conference on Services Computing (SCC), pp.347-354, Anchorage, Alaska, USA, 2014.  
  11. Dong Ruan, Shiyong Lu, Aravind Mohan, Xubo Fei, and Jia Zhang, “A  User-Defined Exception Handling Framework in the VIEW Scientific Workflow Management System”, in Proc. Of the IEEE International Conference on Services Computing (SCC), pp.274-281, Honolulu, Hawaii, 2012.  
Posters (6)
  1. Aravind Mohan, Mahdi Ebrahimi and Shiyong Lu, “A NoSQL Data Model for Running Big Data Workflows in the Cloud. ” 7th MidWest Graduate Research Symposium @ University of Toledo, Toledo 2016.
  2. Mahdi Ebrahimi, Aravind Mohan and Shiyong Lu, “An Efficient Big Data Placement Strategy in Cloud-based Big Data Workflows. ” 7th MidWest Graduate Research Symposium @ University of Toledo, Toledo 2016.
  3. Aravind Mohan, Mahdi Ebrahimi and Shiyong Lu, “A Big Data Platform for running workflows in the Cloud. ” 3rd Big Data & Business Analytics Symposium @ WSU, Detroit 2016.
  4. Mahdi Ebrahimi, Aravind Mohan, Andrey Kashlev, Shiyong Lu and Robert Reynolds, “An efficient task and data placement strategy for running cloud-based big data workflows. ” 3rd Big Data & Business Analytics Symposium @ WSU, Detroit 2016.
  5. Mehedi Hasan, Alexander Kotov,Aravind Mohan and Shiyong Lu, “Feedback or Research: Separating Pre-Purchase from Post-Purchase Consumer Reviews. ” 3rd Big Data& Business Analytics Symposium @ WSU, Detroit 2016.
  6. Aravind Mohan, Shiyong Lu,“Elearning Platform to Learn Computational Thinking Skills using Scientific Workflow Technology. ” Graduate Symposium @ WSU, Detroit 2013.