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IInvenTiv2026

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: Click Here

About Me: I'm an Assistant Professor at IIT (ISM) Dhanbad, with prior research experience at the Indian Institute of Science (IISc), Bengaluru. I completed my Ph.D. in Mathematics from IIT Roorkee. My research centers on developing and enhancing Physics-Informed Neural Networks (PINNs) for solving real-world problems in biomedical engineering.

Research Interest: Physics Informed Machine Learning, Support Vector Machines, Scientific Artificial Intelligence

Curriculum
Vitae
Publications

Teaching

Neural Networks and Deep Learning (PG),  Winter Semester.
Neural Networks and Deep Learning Practical (PG), Winter Semester.
Data Structures (PG),  Monsoon Semester.
Data Structure Lab (PG),  Monsoon Semester.

Academics

     1.  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. 

 2.   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

  3.   Bachelor of Sciences (Mathematics) , June 2013

        Department of Sciences, Mahatma Gandhi Kashi Vidyapith, Varanasi.

   4.   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

       Advisor:  Prof. A. P. Prathosh (Deep Representation Learning lab)

       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

Postdoctoral Fellowship, Neurology Artificial Intelligence Department, Mayo Clinic, Rochester, Minnesota, United States, 2023  (offer declined).
Axis bank Postdoctoral fellowship at Indian Institute of Science (IISc) Bangalore, India, 2023 (offer declined).
Postdoctoral Fellowship, Data Science and AI Research Center, Ariel University, Israel, 2023 (offer declined).
PhD Fellowship, Ministry of Human Research & Development, India, 2017-2022.
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)

1. Somnath Das, Scindhiya Laxmi, "Adaptive residual refinement in physics-informed neuralnetworks for breast cancer thermal modeling and data-driven partial differential equation discovery”, Engineering Applications of Artificial Intelligence, 173, p.114435, 2026 (IF:8.0).
2.  Yash Arora, Scindhiya Laxmi, Shiv Kumar Gupta, "A robust twin support vector machine with huberized hinge loss function with an application in handwritten digit recognition", Pattern Analysis and Applications, 2026 (IF: 2.0).
3. 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).
4. 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: 8.0).
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).
6. 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).
7. 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

1.  Anshu Mishra, Scindhiya Laxmi, “HCAF-XUNET: A Novel Backbone-Agnostic Hierarchical Fusion for Robust Multi-Modal Brain Tumor Segmentation”, IEEE 23rd International symposium on Biomedical Imaging, 2026, (IEEE ISBI 2026), ExCel London, London, UK. 
2.  Scindhiya Laxmi, “A Robust Xg-PINN Approach for Physics Informed Learning in Forward and Inverse PDE Problems in Cancer Detection”, SIAM Conference on Parallel Processing for Scientific Computing, 2026, (SIAM PP26) University of Berlin, Berlin, Germany.
3. Somnath Das, Scindhiya Laxmi, “RAPINN: A novel Residual guided self-Adaptive loss balanced Physics-Informed Neural Network for robust early cancer detection”, International Conference on Applied AI and Scientific Machine Learning, 2025, (CASML 2025), IISc Bangalore, India.
4. Somnath Das, Scindhiya Laxmi, "Residual-based adaptive physics-informed neural networks for breast cancer detection", National Conference on Nonlinear Analysis, Control and Optimization, 2025, IIT Dhanbad, India.
5.  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

Sponsored Research Projects (External Funded)

1.   Project title: “Prediction of relapse time and recovery rate of substance use disorder based on longitudinal survey study applying statistical and machine learning tools”.

      Role: Co-PI.

      Sponsoring Organization: ANRF-ARG.

      Period of Funding: 2026-2029 (3 years) Ongoing.

     Funding amount: INR 3,501,252/- (35 Lacs).

2.   Project title: “Mineral Prospectivity Mapping of Critical Minerals (Li & REE) in Pegmatite of Koderma Mica Belt using Hybrid CNN Approach”.

      Role: Co-PI.

      Sponsoring Organization: TEXMIN, IIT (ISM) Dhanbad.

      Period of Funding: 2025-2027 (2 years) Ongoing.

      Funding amount: 18.50 Lacs

 

Other Academic and Administrative Activities

Invited as Speaker in Summer School/Workshop/Faculty Development Program:

  • Invited as speaker at MNNIT Allahabad, Faculty Developement Program, 8th July, 2026, Title: Physics-Informed Neural Networks: A Scientific Machine Learning Perspective."
  • Invited as speaker at NIT Jalandhar, Summer School on Evolutionary Algorithms and Machine Learning, 16-20 June, 2025, Title: “Gradient-Based Optimization for Physics-Driven Neural Systems.”
  • Invited as speaker at NIT Jamshedpur, Workshop on Numerical and Machine Learning Techniques for Applied Mathematics (NM-AM 2025) 10-14 July, 2025, Title: “Introduction to Physics-Informed Neural Networks and their Variants.”
  • Invited as speaker at  NIT Hamirpur, Faculty Development Program on “Unified Approaches to Solving Differential Equations: From Classical Methods to Neural Networks (UniSDE-2025), Title: “Inverse Modeling (Data-Driven Modeling of PDEs) Using PINNs and Their Variants.”

Administrative Responsibilities:

  • Warden, Ruby and Rosaline Hostel, July 2025- June 2026, IIT (ISM) Dhanbad.
  • Core committee member as the Election officer for Student Gymkhana Election 2026-27.
  • Faculty-In-Charge of the Competitive Coding Club (C3), IIT (ISM) Dhanbad.
  • Worked as a core committee member of Yuva Sangam, Phase-V, IIT (ISM) Dhanbad (Initiative by MoE, India), 2024.
  • Worked as Coordinator for the delegates of Yuva Sangam, Phase-V for the visit to Uttarakhand state.
  • Worked as member of Departmental Faculty Selection Committee in the department of Mathematics and Computing, IIT (ISM) Dhanbad.

Guidance

  • PhD Supervision:
1.    Mr. Somnath Das, Novel Physics Inspired Neural Architectures and their applications in biomedical imaging, January 2024-Present.
2.  Ms. Alina Francis, Novel Physics Informed Transformers and their applications in Oncologic Imaging July 2026-Present .
3. Mr. Abhinandan Kumar, Novel Physics-Informed Neural Networks (PINNs)  and their applicaitons in TASEP models, July 2024-Present (Co-supervision).

 

  • Master's Project Supervision: 

 S.N.    Name

  Year              Project Title

    

1.    Anshu Mishra

2025-2026     HCAF-SwinUNet for Brain tumor analysis

    

2.    Chhaya Gupta

2025-2026    Transformer-Enhanced Physics-Informed Neural Networks for PDEs

    

3.    Farhan Ansari

2025-2026    Self-attended ConvLSTM PINNs Framework for Spatiotemporal Partial Differential Equations  with Application to Cancer Study

    

4.    Farhan Pervez

2025-2026    Improving Physics-Informed GANs using Wassersteing Loss (PID-WGAN)

    

5.   Smita Gangwar   

2025-2026    Multi-Task Self-attended UNet with  Atrous Spatial Pyramid Pooling for Tumor Segmentation and Diagnosis

    

6.  Mamuni Mohanta

2025-2026    Multi-Task Self-attended UNet++ for Tumor Segmentation and Diagnosis

    

7.    Arvind Kumar

2025-2026    Hypertuning optimization Techniques for Physics-Informed Neural Networks (PINNs)

    

8.     Pooja Devi 

2025-2026    Rental House Price Prediction

    

9.     Pinki Gahlot 

2024-2025    Solving Partial Differential Equations using Least Square Support Vector Regression (LS-SVR)

    

10.   Biswajit Bera 

2024-2025    Developing a Multilinual Chatbot: Translating Indian Local Languages using Advanced Large Language Models

    

11.    Atonu Mondal

2024-2025    Improving Disaster-Related Tweet Classification using Suport Vector Machines (SVM)

    

12.  Chanchla Vibhuti 

2024-2025   Document Similarity Detection

    

13.   L. Phuritshabam

2024-2025  Enhancing Customer Retention with Artificial Neural Networks

    

 

  • Internship Students (Supervisions)

 S.N.     Name         Scheme              Project Title 

 

  
 1.       Aniruddha Ray      SRIS 2026                  ---      
 2.       Pritha Ghosal        SRIS 2026                  ---      
 3.       Pritha Ghosal        WRIS 2025        Machine Learning and Deep Learning Applications: Mining & Medical Imaging      
 4.       Hrithema                 SRIS 2025            Web development and Machine Learning      

 

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