MTech-2025

Home

Department

Officers & Staff

Academics

Innovation

International Relations

Placement

Research

Centers

Central Library

Tenders

Right to Information

Institute Newsletter

IIT(ISM) @2026; 100 Years of legacy

National Ragging Prevention Programme

CVO

BIS Corner

In Media

SC/ST Cell

Equal Opportunity Cell

Geological Museum

centenary countdown

Faculty details

Prof.Scindhiya Laxmi

Designation: Assistant Professor

Department: Mathematics & Computing

Email: scindhiya[at]iitism[dot]ac[dot]in

Contact Number:

Office Number: +91-326-223-5319

Personal Page: Under Construction

About Me: I am an Assistant Professor at the Indian Institute of Technology (Indian School of Mines) Dhanbad, specializing in physics-informed novel neural architectures. Prior to that I worked as a Research Associate at Department of Electrical Communication Engineering, IISc Bangalore. I earned my PhD in Machine Learning from the Department of Mathematics, IIT Roorkee, where I focused on developing innovative support vector machines and demonstrating their applications in solving real-world challenges. My research interests lie in physics-inspired neural networks, support vector machines, and neural machine translation. I am passionate about bridging the gap between theoretical advancements and practical applications, contributing to the evolving landscape of artificial intelligence. My work has been published in reputed journals. As an educator, I strive to create an engaging and interactive learning environment, fostering critical thinking, innovation, and problem-solving skills among my students. Beyond academics, I actively seek collaborations with industry and research institutions to drive impactful projects. I also mentor students in their research works, guiding them to explore new frontiers in deep learning.

Research Interest: Physics Informed Neural Networks, Support Vector Machines, Natural Language Processing, Deep Learning

Curriculum
Vitae
Publications

Teaching

  1. Neural Networks and Deep Learning (PG), IIT (ISM) Dhanbad, Winter Semester 24-25.
  2. Data Structures (PG), IIT (ISM) Dhanbad, Monsoon Semester 24-25.
  3. Data Structure Lab (PG), IIT (ISM) Dhanbad, Winter Semester 24-25.
  4. Methods of Applied Mathematics (PG), IIT (ISM) Dhanbad, Winter Semester 23-24.
  5. Mathematics-II (UG), IIT (ISM) Dhanbad, Winter Semester 23-24, and Summer Semester 23-24 (Co-taught).
  6. Mathematics-I (Preparatory, UG), IIT (ISM) Dhanbad, Monsoon Semester 23-24.
  7. Computational Oriented Numerical Methods Lab (PG), IIT (ISM), Monsoon Semester 23-24.
  8.  Abstract Algebra and Real analysis (UG), Isabella Thoburn College (Affiliated to University of Lucknow), July 2016-December 2016.

Academics

  • Ph.D. , June 2022

       Department of Mathematics, IIT Roorkee, India

      Thesis Title: Proximal and Twin Fuzzy Support Vector Machines for Pattern Classification using Mathematical Programming Approach

      Supervisor: Prof. Shiv Kumar Gupta. 

  • Master of Sciences (Mathematics and Scientific Computing) , June 2015                          

        Department of Mathematics, MNNIT Allahabad, India

       Project Title: Geometrical Interpretation Riemann-Stieltjes Integration

       Supervisor: Prof. Sahdeo Padhey

  • Bachelor of Sciences (Mathematics) , June 2013

        Department of Sciences, Mahatma Gandhi Kashi Vidyapith, Varanasi

  • Diploma (Computer Sciences) , June 2012

        ​​​​National Institute of Electronics and Information Technology, New Delhi

Position

  • Assistant Professor,  August 2023-Present    

        Department of Mathematics and Computing, IIT (ISM) Dhanbad, India

  • Research Associate, January 2023-July 2023

       Department of Electrical and Communication Engineering , IISc Bangalore, India

  • Lecturer, July 2016-December 2016

        Department of Sciences, Isabella Thoburn Degree College (University of Lucknow), Lucknow, India

 

 

Awards and Honors

  • PhD Fellowship, Ministry of Human Research & Development, India.
  • Qualified CSIR-UGC JRF (Junior Research Fellowship) in Mathematical Sciences in June 2019.
  • Qualified IIT-GATE (Graduate Aptitude Test in Engineering) in Mathematics in 2018.
  • Qualified CSIR-UGC NET (National Eligibility Test for lectureship) in Mathematical Sciences in June 2016.
  • Qualified IIT-JAM (Joint Admission Test for Master of Science) in Mathematics in 2013.

Publications

List Of Research Publications (only in Peer-reviewed Journals)

  • Scindhiya Laxmi, Sumit Kumar, Shiv Kumar Gupta, “Human activity recognition using fuzzy proximal support vector machine for multicategory classification”, Knowledge and Information Systems, Vol. 65 (11), pp. 4585-4611, 2023 (IF: 2.5).

  • Scindhiya Laxmi, Shiv Kumar Gupta “Multi-category intuitionistic fuzzy twin support vector machines with an application to plant leaf recognition”, Engineering Applications of Artificial Intelligence, vol. 110, 104687, 2022 (IF: 7.5).

  • Scindhiya Laxmi, Shiv Kumar Gupta, Sumit Kumar “Intuitionistic fuzzy least square twin support vector machines for pattern classification”, Annals of Operations Research, Vol. 339 (3), pp.  1329-1378, 2022 (IF: 4.4).

  • Scindhiya Laxmi, Shiv Kumar Gupta, Sumit Kumar “Intuitionistic Fuzzy Proximal Support Vector Machines for Multicategory Classification Problems”, Soft Computing, Vol. 25, pp.  14039–14057, 2021 (IF: 3.1).

  • Scindhiya Laxmi, Shiv Kumar Gupta “Intuitionistic Fuzzy Proximal Support Vector Machines for Pattern Classification” Neural Processing Letters, Vol. 51, pp. 2701–2735, 2022 (IF: 2.6).

Papers in conference abstract volumes / presented

  • Scindhiya Laxmi, S. K. Gupta, “Intuitionistic fuzzy proximal support vector machine” at the 51st annual convention of operational research society of India and international conference organized by Indian Institute of Technology (IIT) Bombay, India 16th-19th Dec 2018.

Projects & Activities

Guidance

  • PhD Scholar: Mr. Somnath Das, Novel Physics Inspired Neural Architectures and their applications in biomedical imaging, January 2024-Present.
  • Master Students:  13 (Ongoing)

Copyright © 2025 All Rights Reserved || Designed & Developed by - WEBSTEP TECHNOLOGIES PRIVATE LIMITED