People
Students
I’ve had the pleasure of working with the following students:
PhD students
Current
(in alphabetical order):
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Ashwin Aravind, 2020—2025 (tentative).
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Joint supervisor Ashish Cherukuri.
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Area of study: Inverse reinforcement learning, robust optimization.
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Souvik Das, 2019—2024 (tentative).
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Joint supervisor Federico Alessandro Ramponi.
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Area of study: Robust optimization, security in networked systems.
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PMRF awardee, May 2020.
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Siddhartha Ganguly, 2019—2024 (tentative).
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Joint supervisor Ravi Banavar.
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Area of study: Constrained optimal control, numerical methods in control.
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PMRF awardee, May 2020.
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Placement: Postdoc with Kenji Kashima at Kyoto University.
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Ashutosh Jindal, 2018—2024 (tentative).
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Joint supervisor Ravi Banavar.
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Area of study: Geometric methods in control.
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Placement: Postdoc with Ming Cao at University of Groningen.
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Chintankumar Girishbhai Parmar, 2022—2025 (tentative).
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Area of study: Optimal controlled transport.
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Pradyumna Paruchuri, 2017—2024 (tentative).
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Joint supervisor Navin Khaneja.
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Areas of study: Robust optimization, optimal learning, optimal control, constrained control.
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PMRF awardee, May 2019.
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Placement: Postdoc with Peyman Mohajerin Esfahani.
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Ashmita Roy, 2019—2025 (tentative).
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Joint supervisor Ravi Banavar.
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Area of study: High-precision control techniques.
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PMRF awardee, May 2020.
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Graduated
(in alphabetical order):
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Priyanka Dey, 2015—2021.
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Joint supervisor Niranjan Balachandran.
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Thesis topic: Analysis and Control of Linear Structured Systems: Complexity and Algorithms.
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Placement: Postdoc with Takayuki Ishizaki at Tokyo Institute of Technology, Japan.
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Shruti Kotpalliwar, 2016—2023.
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Joint supervisor Ravi Banavar.
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Area of study: Constrained optimal control.
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Placement: Postdoc with George Nikolakopoulos at LuleƄ University of Technology, Sweden.
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Atreyee Kundu, 2012—2015.
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Thesis topic: Stabilizing switching signals for switched systems: analysis and synthesis.
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Placement: Postdoc with Maurice Heemels (TU/Eindhoven, Netherlands) and Jamal Daafouz (University of Lorraine, France).
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Received an “Excellence in Thesis” award from IIT Bombay in 2016.
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Currently with the Department of Electrical Engineering, IIT Kharagpur.
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Prabhat Kumar Mishra, 2013—2019.
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Thesis topic: Stochastic predictive control over networks.
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Placement: Postdoc with Girish Chowdhary at the University of Illinois at Urbana-Champaign, and postdoc with Richard Braatz, Department of Chemical Engineering, Massachusetts Institute of Technology, USA.
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Currently with the Centre of Excellence in Artificial Intelligence, IIT Kharagpur
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Karmvir Singh Phogat, 2012—2018.
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Joint supervisor Ravi Banavar.
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Thesis topic: Discrete-time optimal control of variational integrators with state and control constraints.
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Placement: Postdoc with Dong Eui Chang (KAIST) and Koji Tsumura at the University of Tokyo.
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Currently with Ernst & Young Global Limited, Bengaluru.
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This article authored by Karmvir received an Automatica Paper Prize, 2020.
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Mohammed Rayyan Sheriff, 2014—2020.
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Joint supervisor Vivek Borkar.
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Thesis topic: Linear inverse problems and dictionary learning.
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Areas of study: Learning theory, compressive sensing, applied probability.
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Placement: Postdoc with Peyman Mohajerin Esfahani at Delft University of Technology, Netherlands.
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Currently with the Wireless Algorithms lab at Huawei Research, Kista, Stockholm.
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Received a Naik and Rastogi Award for “Excellence in PhD Research” from IIT Bombay in 2022.
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MTech Dual Degree Students:
(in alphabetical order)
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Anant Joshi, Systems & Control Engineering, 2019—2020.
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Joint supervisor Ravi Banavar.
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Topic: Robust optimal control, geometric methods.
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Next stop: PhD studies with Prashant Mehta at ME, University of Illinois at Urbana-Champaign, USA.
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P. K. Mishal Assif, Department of Mechanical Engineering, 2018—2019.
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Joint supervisor Ravi Banavar.
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Topic: Optimal control, robust optimization, geometric methods, frame theory.
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Next stop: PhD studies with Yuliy Baryshnikov at ECE, University of Illinois at Urbana-Champaign, USA.
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Yogesh Kumar, Department of Aerospace Engineering, 2018-2019.
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Joint supervisor Sukumar Srikant.
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Topic: Numerical optimal control under constraints.
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Next stop: Ideaforge.
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Chinmay Maheshwari, Department of Mechanical Engineering, 2018—2019.
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Joint supervisor Sukumar Srikant.
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Topic: Nonlinear control, optimal control.
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Next stop: PhD studies with Shankar Sastry at EECS, University of California Berkeley, USA.
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Shreyam Mishra, Systems & Control Engineering, 2023—2024.
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Joint supervisor Neeta Kanekar.
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Topic: Topological gait analysis.
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Next stop: PhD studies with Pratik Chaudhuri and University of Pennsylvania.
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Mitalee Oza, Department of Mechanical Engineering, 2021—2023.
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Topic: Robust optimization on geodesically convex spaces.
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Next stop: PhD studies with Bahman Gharesifard at University of California Los Angeles.
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Niket Nilesh Parikh, Department of Aerospace Engineering, 2020—2022.
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Topic: Model predictive control under spectral constraints.
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Next stop: PhD studies with Huy Tran at University of Illinois at Urbana-Champaign.
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Pradyumna Paruchuri, Department of Aerospace Engineering, 2016—2017.
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Topic: Optimal control under frequency constraints.
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Next stop: PhD studies with Navin Khaneja and me.
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MTech Students:
(in alphabetical order)
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Ashwin Aravind, Systems & Control Engineering, 2018—2020.
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Next stop: PhD studies with Ashish Cherukuri and me.
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Aniket Mukherjee, Systems & Control Engineering, 2018—2020.
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Anjali Muthyala, Systems & Control Engineering, 2021—2023.
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Topic: Approximation and motion planning via robust optimization.
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Next stop: Airbus.
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Chintankumar Girishbhai Parmar, Systems & Control Engineering, 2020—2022.
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Topic: Discrete optimal transport.
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Next stop: PhD studies with me.
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Arijit Sarkar, Systems & Control Engineering, 2017—2019.
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Next stop: PhD studies Jacquelien Scherpen and Bayu Jayawardhana.
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BTech Students:
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Nakul Rajesh Randad, Department of Aerospace Engineering, 2021—2022.
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Joint supervisor Ravi Banavar.
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Topic: Quasi-interpolation driven trajectory optimization under constraints.
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One of the first contributors to QuITO.
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Next stop: Goldman-Sachs.
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Shubham Gupta, Department of Mechanical Engineering, 2022—2023.
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Topic: Explicit model predictive control via neural network approximation.
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Next stop: PhD studies at ETH Zurich.
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Rihan Aaron Dsilva, Department of Aerospace Engineering, 2023—2024.
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Topic: Mesh-refinement for quasi-interpolation driven trajectory optimization under constraints.
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One of the contributors to QuITO v.2.
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Next stop: PhD studies at the University of Illinois at Urbana-Champaign.
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