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Shiksha Singhal

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Research Scholar (PMRF)

Industrial Engineering and Operations Research Department
IIT Bombay, Powai

Supervisor

Professor Veeraruna Kavitha

Research interests

  • Game Theory, Queueing Theory, Markov Decision Processes, Reinforcement Learning

Academics
  • M.tech + PhD dual degree student in Industrial Engineering and Operations Research, IIT Bombay (2018-Present)
  • B.Tech. in Textile Technology, U.P.T.T.I., Kanpur, Uttar Pradesh (2014-2018)
PhD Thesis
Work Experience
  • Research Associate in Productions and Operations Management Area, IIM Bangalore (August 2023 - Present)
Academic achievements
  • Recieved Prime Minister's Research Fellowship (PMRF), India (May, 2020)
  • Achieved AIR 1 in GATE 2018 Textile Engineering and Fibre Science (TF)
Accepted Publications
Publications under review/preparation

  • Journal Papers

    • Singhal, Shiksha, Veeraruna Kavitha, and Jayakrishnan Nair. "On the ubiquity of duopolies in constant sum congestion games", Operations Research, 2023 (under review).

    • Walunj, Tushar Shankar, Shiksha Singhal, Jayakrishnan Nair, and Veeraruna Kavitha. "On the interplay between pricing, competition and QoS in ride-hailing", Annals of Operations Research (ANOR), 2023 (under review).

    • Shiksha Singhal, and Veeraruna Kavitha. "Dual Opportunistic Fair mmWave Scheduler: position-aided beam alignment and user assignment", (under preparation).

    • Walunj, Tushar Shankar, Shiksha Singhal, Veeraruna Kavitha, and Jayakrishnan Nair. "Equilibrium cycle and its properties", (under preparation).

Conference Presentation
Teaching
  • Co-taught Scientific Computing using Python in the Department of Physical Oceanography at CSIR-National Institute of Oceanography, Goa (Spring and Autumn 2021)
Teaching Assistant
IEOR, IIT Bombay Department of Mathematics, ICT Mumbai
  • Modeling and Computation Lab
  • Decision Analysis and Game Theory
  • Decision Analysis and Game Theory
  • Probability and Stochastic Processes I
  • Simulation Modelling and Analysis
  • Probability and Stochastic Processes II
  • Advanced Stochastic Processes for Operations Research
  • Introduction to Financial Engineering
  • Numerical Methods (Spring 2022,23)
  • Ordinary Differential Equations (Autumn 2022)
Courses
  • Modeling & Computation Lab
  • Optimization Techniques
  • Introduction to Stochastic Models
  • Introduction to Financial Engineering
  • Manufacturing, Planning & Control
  • Service Engineering & Management
  • System Dynamics Modeling & Analysis
  • Markov Decision Processes
  • Decision Analysis & Game Theory
  • Engineering Data Mining & Applications
  • Discrete Event System Simulation
  • Statistics for management Research
  • Quantitative Models for Supply Chain Management
  • Online Machine Learning
  • Applied Mathematical Analysis in Engineering
  • Networks, Games and Algorithms
  • Integer Programming: Theory and Computations
  • Topics in Industrial Engineering and Operations Research
Workshops

  • Attended ICTS program "Advances in Applied probability II (ONLINE)"conducted from Jan 4 - Jan 8, 2021.

  • Attended the Lectures on Probability and Stochastic Processes (LPS), organized at the Indian Institute of Science (IISc) during Dec 2 - Dec 6, 2022

  • Attended the Data Science: Probabilistic and Optimization Methods, organized at the International Centre for Theoretical Sciences (ICTS), Bangalore during July 3 - July 7, 2023.

  • Attended CNI Summer School 2023 on "Dynamic Resource Allocation Problems in Communication Networks", organized at the Indian Institute of Science (IISc) during July 10 - July 14, 2023.

Contact

Email: shiksha.singhal@iitb.ac.in