Smriti Shyamal, Ph.D.
 |
Smriti Shyamal, |
Smriti Shyamal is currently employed as Senior Machine Learning Scientist in Expedia Group. Prior to joining Expedia Group, he worked as Machine Learning Specialist in Xanadu and Machine Learning Scientist in 1QBit. He completed his Ph.D. in June’18 at McMaster University, Canada, where he was supervised by Dr. Christoper L.E. Swartz. He received his B.Tech degree from Indian Institute of Technology, Bombay, India in 2013. His current research focus is on deep learning, reinforcement learning, data science, machine learning, optimization and control applications.
Research Interests
Large scale applications
Selected Papers
S. Shyamal and C. L. E. Swartz, “Real-time Energy Management for Electric Arc Furnace Operation”, https:doi.org10.1016j.jprocont.2018.03.002, Journal of Process Control, 74, 50-62 (Special Issue on Efficient Energy Management) (2018)
S. Shyamal and C. L. E. Swartz, “Real-time Dynamic Optimization-based Advisory System for Electric Arc Furnace Operation”, Industrial and Engineering Chemistry Research, 57(39), 13177-13190 (2018)
S. Shyamal and C. L. E. Swartz, “Optimization-based Online Decision Support Tool for Electric Arc Furnace Operation”, 20th IFAC World Congress, Toulouse, France, IFAC-PapersOnLine, 50(1), 10784-10789 (2017)
C. L. E. Swartz and S. Shyamal, “Dynamic Optimization, Estimation and Control of Electric Arc Furnace Operation”, Current Advances of Materials and Processes (CAMP-ISIJ), 30(2) (2017)
S. Shyamal and C. L. E. Swartz, “A Multi-rate Moving Horizon Estimation Framework for Electric Arc Furnace Operation”, 11th DYCOPS-CAB, Trondheim, Norway, IFAC-PapersOnLine, 49(7), 1175-1180 (2016)
News
Nov 15, 2019: Attended MILA Tea Talk on “Unreproducible Research is Reproducible” by Xavier Boutheiller in MILA Agora, Montreal.
Nov 4, 2019: Joined Expedia Group as Sr. Machine Learning Scientist in Montreal.
May 26, 2019: Attended Toronto MachineLearning Micro-Summit - Finance Special Focus.
May 16, 2019: Presented invited lecture on “A Deep Learning Approach to Solving Differential Equations” at MACC Annual Meeting organized by McMaster University in Hamilton, Ontario.
Apr 11, 2019: Attended Ethical AI: Technology for a Progressive and Inclusive Society organized by The Globe and Mail in Toronto. Heard the keynote from the world leading expert in AI Dr. Yoshua Bengio.
Apr 4, 2019: Attended Healthkick Focus: How AI Will Transform the Pharma Industry, Toronto.
Mar 26, 2019: Attended Toronto MachineLearning Micro-Summit - Retail and Advertising Special Focus.
Mar 4-5, 2019: Attended AI World Forum in Toronto. Put up an exhibition for Xanadu.
Feb 12, 2019: Attended Toronto MachineLearning Micro-Summit - Special Healthcare Focus.
Nov 20, 2018: Attended Toronto Machine Learning Annual Summit & Expo 2018 (TMLS). Put up an exhibition for Xanadu.
Nov 5, 2018: Joining Xanadu, Toronto as Machine Learning Specialist.
Sep 10, 2018: Paper accepted for publication in Industrial & Engineering Chemistry Research (I&ECR) journal. Title: “Real-time Dynamic Optimization-based Advisory System for Electric Arc Furnace Operation”, by S. Shyamal and C. L. E. Swartz.
Aug 21, 2018: Volunteered in Science World, Vancouver BC: Felt really great spending time with kids playing some games with them. These games will help them improve/build their science and technology aptitude.
June 4, 2018: Joining 1QB Information Technologies, Vancouver as Machine Learning Scientist.
May 31, 2018: Presented talk in 2018 Stats and control meeting, Hamilton, Ontario.
Title: Optimization-based Real-time Operating Paradigms for Electric Arc Steelmaking. Presentation slides
May 17, 2018: Awarded 1st prize in 2018 McMaster Advanced Control Consortium Annual Meeting research poster competition.
March 9, 2018: 2018 McMaster Three Minute Thesis (3MT) competition: My presentation is on 14th March (Wednesday) 9:00 am (EST). Extremely excited to share my research work with a broader audience. Title: Real-time Energy Management.
March 6, 2018: Resources to know more on Machine Learning application to High Energy Physics (HEP). Courtesy: Dr. Kyle Cranmer, Associate Professor Of Physics, NYU, New York.
March 6, 2018: Deep Learning and Reinforcement Learning (DLRL) Summer School 2018 to be held in Toronto July 25th - August 3rd, 2018.
March 5, 2018: Paper accepted for publication in Journal of Process Control: “Real-time Energy Management for Electric Arc Furnace Operation”, by S. Shyamal and C. L. E. Swartz
March 1, 2018: Attended The Fields Institute Seminar organized by the Vector Institute
Title: Relaxed Gradient Estimators, Abstract link
Speaker: Chris Maddison, University of Oxford.