Divya Jyoti Bajpai

M.Sc.-Ph.D.(2020-25)

Industrial Engineering and Operations Research, IIT Bombay

Mobile:+91 6388436571

Email: 20i190003@iitb.ac.in, divyaaj77@gmail.com

Academic Background:

B.Sc.(Hons.) Mathematics University of Delhi , 2017-20

Research Topic: Early Exits in Deep Neural Networks

Publications

• CEEBERT: Cross-Domain Inference in Early Exit BERT: Association of Computational Linguistics (findings) (ACL 2024)
• FAIR: Filtering of Automatically Induced Rules: European Chapter of Association of Computational Linguistics (EACL 2024)
• SplitEE: Early Exit in Deep Neural Networks with Split Computing: AIMLSystems 2023
• I-SplitEE: Image classification in Split Computing DNNs with Early Exits: IEEE International Conference on Communications (ICC 2024)

Internships

• ExxonMobil(Data Scientist):Modelled the remaining time to failure of Mechanical seal of a Multi-phase pump using ML models
• Paathshala Education: Academic Content creator

Position of Responsibility: Joint Secretary Academics(IEOR Dept.) 2021-22, Outreach Manager at TCAAI 2021-2022.

Seminar: Methods of Conjugate gradients for solving Linear systems, under the guidance of Prof. Balamurugan Palaniappan.

MScPhD Research Project I:  Weak Supervision in Natural Language Processing, under the guidance of Prof. Manjesh Kumar Hanawal.

MScPhD Research Project II:  Weak Supervision in Natural Language Processing, under the guidance of Prof. Manjesh Kumar Hanawal.

Teaching Assistant:

• IE 605: Engineering Statistics(July-Nov 2022)
• IE 506: Machine Learning: Principles and Techniques(Jan-April 2023)

Courses:

• Autumn 2020
  • IE 501: Optimization Models
  • IE 503: Operations Analysis
  • IE 507: Modeling and Computation Lab
  • IE 509: Computer Programming Lab
  • IE 605: Engineering Statistics
  • IE 621: Probability & Stochastic Processes I
• Spring 2021
  • IE 899: Communication Skills
  • IE 614: Linear System
  • IE 616: Decision Analysis & Game Theory
  • IE 622: Probability & Stochastic Processes II
  • IE 630: Simulation Modeling & Analysis
  • IE 684: IEOR Lab
  • IES 601: Seminar
• Autumn 2021
  • IE 609: Mathematical Optimisation Techniques
  • IE 643: Deep Learning: Theory and Practice
  • CS 725: Foundations of Machine Learning
  • IE 685: MScPhD Research Project 1
  • HS 101: Economics
• Spring 2022
  • IE 683: Topics in Learning Algorithms
  • IE 708: Markov Decision Process
  • IE 617: Online Machine Learning and Bandit Algorithms
  • IE 686: MScPhD Research Project 2
• Autumn 2022
  • IE 802: Topics in IE & OR