Journals

  1. F. Smarra*, A. Jain*, T. Rubeis*, D. Ambrosini, A. D’Innocenzo, R. Mangharam. Data Predictive Control with Random Forests: Theory and Applications. Applied Energy, 2017. [under review]
  2. A. Jain, T. Nüesch, C. Naegele, P. M. Lassus, C. H. Onder. Modeling and Control of a Hybrid Electric Vehicle with an Electrically Assisted Turbocharger. IEEE Transactions on Vehicular Technology, 2016. [pdf]
  3. A. Jain, G. Schildbach, L. Fagiano, M. Morari. On the design and tuning of linear model predictive control for wind turbines. Renewable Energy, 80, 664-673, 2015. [pdf]

Conferences

  1. A. Jain*, T. X. Nghiem*, M. Morari, R. Mangharam. Learning and Control using Gaussian Processes. 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Porto, Portugal, 2018. [under review]
  2. A. Jain, F. Smarra, R. Mangharam. Data Predictive Control using Regression Trees and Ensemble Learning. 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, 2017. [pdf]
  3. A. Jain, M. Behl, R. Mangharam. Data Predictive Control for Building Energy Management. 2017 American Control Conference, Seattle, WA, USA, 2017. [pdf] [Energy Systems Best Paper Award]
  4. A. Jain, M. Behl, R. Mangharam. Data Predictive Control for Peak Power Reduction. 3rd ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), Palo Alto, CA, USA, 2016. [pdf] [Best Presentation Award]
  5. M. Behl, A. Jain, R. Mangharam. Data-Driven Modeling, Control and Tools for Cyber-PhysicalEnergy Systems. IEEE 7th International Conference on Cyber-Physical Systems, Vienna, Austria, 2016. [pdf]
  6. A. Jain, J. Qin, G. Abba. Optimal Work Placement for Robotic Friction Stir Welding Task. 3rd IFToMM International Symposium on Robotics and Mechatronics (ISRM), Singapore, 2013. [pdf]
  7. P. Ajay, P. Singhal, A. Jain, S. Mukherjee. Teleoperation through Brain Machine Interface. National Conference on Emerging Trends in Mechanical Engineering, Ghaziabad, India, 2012. [pdf]

Technical Reports and Thesis

  1. A. Jain, K. Jang. Classification of Tweets using Supervised and Semisupervised Learning. CIS520 Machine Learning Competition, University of Pennsylvania, 2016. [pdf]
  2. J. Poland, A. Jain, K. So. Ordinal Regression for Meta-Modeling in Optimization. Technical Report, ABB Corporate Research, Switzerland, 2014.
  3. A. Jain. Optimal Control of a Hybrid Electric Vehicle with an Electrically Assisted Turbocharger. Master Thesis, ETH Zurich, Switzerland, 2014. [pdf]


* equal contribution