Achal Agarwal

School of Engineering Sciences

Dr. Achal Agarwal is an Assistant Professor in the Computer Science Engineering Department at Mahindra Ecole Centrale College of Engineering. Dr. Achal did his Ph.D. in Networks, Information, and Communication from University Paris Saclay, France. Prior to joining MEC, he worked as a Consultant Data Scientist - RATP (Paris Transport Authority).

  • 2017: Course on Big Data, Fitec Formation, Paris, France - Introductory courses on various technologies pertaining to different aspects of Big Data - Hadoop File System, NoSQL databases, Web Scraping, Spark, Big Data Architectures
  • 2016: Ph.D. in Networks, Information, and Communication, University Paris Saclay, France - Stochastic Optimization - Decision Learning algorithm to coordinate optimally with partial information - Proposed state of the art decentralized solutions in 5G Communications, Smart grids and Automatic Control
  • 2012: Master IREN - Ecole Polytechnique, France Master on Network Industries and Digital Economy. Specialisation: Innovation
  • 2011: Engineer of Ecole Polytechnique (X2008), France Most Prestigious Engineering Program in France
  • 2008: Chennai Mathematical Institute, India B.Sc. in Physics with Honours
  • 2009 - 2012: Eiffel Scholarships - Ministry of External Affairs, France. Given to the best foreign students beginning studies in France
  • 2004: Bronze Medal - National Physics Olympiad (Singapore)
  • 2003 - 2005: SIA-NOL Scholarships - Ministry of External Affairs, Singapore. Given to chosen Indian students for higher secondary studies in Singapore
  • 2002: NTSE Scholarship - NCERT
  • 2018: Transactions on Wireless Communications (submitted) C. Zhang, S. Lasaulce, A. Agrawal, R. Visoz A Framework for Distributed Power Control with Partial Channel State Information
  • 2016: Ph.D. Thesis, defended on 14th June 2016 A. Agrawal. Development and Application of Information Theoretical Bounds to Certain Class of Coordination Problems
  • 2015: International Conference on Communications and Networking, Hammamet, Tunisia, Nov. 2015 A. Agrawal, S. Lasaulce, O. Beaude and R. Visoz. A Framework for Optimal Decentralized Power Control with Partial CSI IEEE International Conference on Smart Grid Communications, Miami, USA Nov. 2015 O. Beaude, A. Agrawal, S. Lasaulce. A Framework for Computing Power Consumption Scheduling Functions Under Uncertainty European Control Conference (ECC), Linz, Austria, June 2015 A. Agrawal, F. Danard, B. Larrousse, and S. Lasaulce. Implicit coordination in two-agent team problems. Application to Witsenhausen Cost Function
  • 2014: IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), May 2014 B. Larrousse, A. Agrawal, and S. Lasaulce. Implicit coordination in 2-agent team problems. Application to distributed power allocation
  • July 2018: Consultant Data Scientist - RATP (Paris Transport Authority) - Predictive maintenance of Paris Suburban Trains - Estimation of bus arrivals based on real time traffic data
  • 2017: Consultant Data Scientist - Jems DataFactory Title: Predicting stock market prices based on online comments - Collect data over various online message boards and twitter - Using Natural Language Processing to classify comments on social networks - Design the architecture (architecture lambda) for user application
  • 2012: Capgemini, France - Internship (5 months) Title: OTT services and the changing mobile ecosystem