Kiran Purohit

Kiran Purohit

Research Scholar

IIT Kharagpur

Biography

I am currently pursuing my Ph.D. in the Department of Computer Science and Engineering at IIT Kharagpur, under the supervision of Prof. Sourangshu Bhattacharya. I am also a member of the Complex Networks Research Group.

Research - I am broadly interested in Machine Learning, with specific interests in Scalability, Explainability and Data-centric AI. I have applied these techniques on problems in Computer Vision and Natural Language Processing. My research involves subset selection for efficient and robust deep learning. I would be happy to talk about recent advancements around LLMs.

Teaching Assistantship - Scalable Data Mining, Autumn 2023, 2022 & 2021 (CS60021), Software Engineering Lab & Theory, Spring 2024 & 2023 (CS29202), Foundations of Algorithm Design and Machine Learning, Spring 2022 (CS60020), Programming & Data Structures Theory, Spring 2021 (CS10003).

Interests

  • Machine Learning
  • Data-centric AI
  • Subset Selection
  • Scalable AI
  • Trustworthy AI
  • Explainable AI

Education

  • PhD in Computer Science and Engineering, 2020 - Present

    Indian Institute of Technology Kharagpur

  • M.Tech in Computer Science and Engineering, 2018 - 2020

    National Institute of Technology Durgapur

  • B.Tech in Computer Science and Technology, 2013 - 2017

    THDC-IHET, Uttrakhand

  • CBSE XII Science, 2012 - 2013

    K.V Faridkot, Punjab

  • CBSE X, 2010 - 2011

    K.V Sukna, West Bengal

Publications

List of all publications till date

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Accurate and efficient channel pruning via orthogonal matching pursuit

The deeper and wider architectures of recent convolutional neural networks (CNN) are responsible for superior performance in computer …

COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model

COVID-19 is a deadly and highly infectious pneumonia type disease. RT-PCR is a proven testing methodology for the detection of …

Measuring the Degree of Suitability of Edge Detection Operators Prior to an Application

Unlike image restoration, image enhancement techniques are found to be subjective in nature as the appearance of an output image …

Recent & Upcoming Talks

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories @CNeRG Reading Group

Despite their impressive performance on diverse tasks, large language models (LMs) still struggle with tasks requiring rich world …

Scalable and Accurate Channel pruning @CNeRG Mini Retreat

The deeper and wider architectures of recent convolutional neural networks (CNN) are responsible for superior performance in computer …

Winning the Lottery Ahead of Time: Efficient Early Network Pruning @CNeRG Reading Group

Pruning, the task of sparsifying deep neural networks, received increasing attention recently. Although state-of-the-art pruning …

Practical Adversarial Robustness in Deep Learning: Problems and Solutions @CNeRG Reading Group

Deep learning has brought us tremendous achievements in many fields such as computer vision, natural language processing. In spite of …

Accurate and efficient channel pruning via orthogonal matching pursuit @AIMLSystems 2022

The deeper and wider architectures of recent convolutional neural networks (CNN) are responsible for superior performance in computer …

Experience

Intern and Job Experiences

 
 
 
 
 

Senior Research Fellow

CNeRG Lab, CSE Department, IIT Kharagpur

Sep 2022 – Present Kharagpur, West Bengal
 
 
 
 
 

Junior Research Fellow

CNeRG Lab, CSE Department, IIT Kharagpur

Sep 2020 – Sep 2022 Kharagpur, West Bengal
 
 
 
 
 

Ph.D. Research Scholar

CNeRG Lab, CSE Department, IIT Kharagpur

Sep 2020 – Present Kharagpur, West Bengal
Under the Supervision of Prof. Sourangshu Bhattacharya
 
 
 
 
 

M.Tech

NIT Durgapur

Aug 2018 – May 2020 Durgapur, West Bengal
M.Tech in Computer Science and Technology
 
 
 
 
 

Trainee

DRDO Dehradun, Uttrakhand

Jun 2016 – Jul 2016 Dehradun, Uttrakhand

NETWORK DOCKET MANAGEMENT SYSTEM

Responsibilities include:

  • Understaning ASP and Oracle.
  • Developing a website for automation of complaints registered.
 
 
 
 
 

Undergraduate Student

THDC IHET

Aug 2013 – May 2017 New Tehri, Uttrakhand
B.Tech in Computer Science and Technology

Contact

  • CNeRG Lab, CSE Department, IIT Kharagpur, Kharagpur, West Bengal 721302
  • Enter CSE Dept and take the stairs to Room 205 on 1st Floor
  • Weekdays from 10:00 am to 5:00 pm
  • Book an appointment
  • DM Me