Kinsuk Giri

Assistant Professor, Dept. of CSE

National Institute of Technical Teachers' Training & Research, Kolkata

Ph.D. in Computational Astrophysics with expertise in Machine Learning, Computational Geometry, Numerical Simulations, and Astrophysics. Passionate about research, teaching, and innovation with over 16 years of experience in academia.

Dr. Kinsuk Giri

About Me

Learn about my academic journey, skills, and achievements in the field of computational research and education.

Academic Profile

Current Position: Assistant Professor, Dept. of CSE, National Institute of Technical Teachers' Training & Research (NITTTR), Kolkata.

Where I Stay

Current Address

Block - FC, Sector - III, Salt Lake City, Kolkata - 700106, India

Parental Address

Mouni, Vill + PO + PS : Mohanpur, Dist: Paschim Medinipur, West Bengal, PIN - 721436, India

Education
Skills
Awards
Students
  • Ph.D. (Science) - S. N. Bose National Centre for Basic Science, Jadavpur University (2013) Thesis: Numerical Simulation of Viscous Accretion Flow Around Black Holes Which Include Shocks
  • M.Sc. (Mathematics) - Visva-Bharati Central University, Santiniketan (2007)
  • B.Sc. (Mathematics) - Visva-Bharati Central University, Santiniketan (2005)
  • Higher Secondary - Vidyasagar Vidyapith, Midnapore (2002)
  • Secondary - Baita M.N. High School, Baita (2000)
Python & R Programming
95%
Machine Learning
90%
Numerical Simulation
92%
Computational Astrophysics
88%
Computational Geometry
85%
Fortran, C, OpenMP, MPI, SCILAB, MATLAB, LaTeX
80%
  • Best Paper Award - IEEE DABcon2024 Conference (2024)
  • Best Application Paper Award - 12th SocPros Conference (2023)
  • Springer Outstanding Ph.D Thesis Award (2014)
  • Post Doctoral Research Fellowship - National Science Council of Taiwan (2013)
  • Honourable Mention Poster Award - ICTP, Italy (2011)
  • Best Poster Award - SNBNCBS Kolkata (2009, 2011, 2013)
  • CSIR-UGC NET JRF & LS (2007-2008)
  • JAM Qualified - IITs (2005)
  • Ph.D. Students Supervised: 3 (Ongoing)
  • M.Tech Students Guided: 15+ (Completed)
  • B.Tech Projects Guided: 20+
  • Research Interns Mentored: 8+
  • Student Publications Co-authored: 12+

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Years of Experience

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Publications

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Invited Lectures

Academic Profiles

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Research Interests

My research spans multiple domains at the intersection of computation, mathematics, and astrophysics.

Machine Learning

Theories and applications of ML algorithms, clustering techniques, and pattern recognition with focus on computational geometry approaches.

Computational Geometry

Geometric algorithms, Voronoi diagrams, Delaunay triangulation, and applications in data analysis, clustering, and optimization problems.

Numerical Simulation

High-performance computing, parallel algorithms, and simulation of complex systems including fluid dynamics and astrophysical processes.

Selected Publications

A curated selection of my recent research publications in high-impact journals and conferences.

2024-2025
  • Conductive Islands Assisted Resistive Switching in Biomimetic Artificial Synapse for Associative Learning and Image Recognition. Advanced Functional Materials, 2024. (Impact Factor: 18.5)
  • Lung CT Image Segmentation with Optimal Parameters Using UNET Architecture. IEEE Explore, 2025.
  • A Computational Study on the Modelling of the Flow Field Plates of a Polymer Electrolyte Membrane Fuel Cell. Journal of Nano- Electron. Phys., 2024.
  • Identifying Outliers Using Voronoi Circles. Lecture Notes in Networks and Systems, 2024.
  • Remarkable Contributions by Jaina Mathematicians in Ancient India. Journal of Engineering, Science & Education, 2024.
2022-2023
  • ECKM: An improved K-means clustering based on computational geometry. Expert Systems with Applications, 2023. (Impact Factor: 7.5)
  • Modelling of Gas Diffusion Layer (GDL) of Polymer Electrolyte Membrane (PEM) Fuel Cell - A Computational Approach. Journal of Nano- Electron. Phys., 2023.
  • Constraints on cubic and f(P) gravity from cosmic chronometers, BAO & CMB datasets: Use of machine learning algorithms. Nuclear Physics B, 2022. (Impact Factor: 2.5)
  • ECR-DBSCAN: An Improved DBSCAN Based on Computational Geometry. Machine Learning with Applications, 2021.

Professional Experience

My academic journey through various research and teaching positions over the years.

Sep 2015 - Present

Assistant Professor

NITTTR, Kolkata

Department of Computer Science and Engineering. Teaching M.Tech and Ph.D courses, guiding research, and administrative responsibilities including Faculty In Charge of Media Cell, Institute Computer Center, and Chief Information Security Officer.

Courses Taught: Mathematical Foundations for AIML, Cloud Computing and HPC, Numerical Methods, Discrete Mathematics, Mathematical Computing Lab, Machine Learning Lab, Seminar and Mini Project, Advanced Engineering Mathematics, Fuzzy Set Theory, Seminar I & II.

Mar 2014 - Aug 2015

Postdoctoral Fellow

National Tsing Hua University, Taiwan

Research on accretion flows around black holes and numerical simulations of astrophysical processes. Collaborated with international researchers and published in high-impact journals.

Jan 2008 - Nov 2013

Doctoral Research Fellow

S. N. Bose National Centre for Basic Sciences

Ph.D. research on numerical simulation of viscous accretion flow around black holes including shocks. Awarded Springer Outstanding Ph.D Thesis Award for this work.

Nov 2013 - Jan 2014

Lecturer

CIPET Ahmedabad

Short-term teaching assignment before joining NITTTR Kolkata.

Contact Information

Feel free to reach out for collaborations, research discussions, or academic inquiries.

Address

Block - FC, Sector - III, Salt Lake City, Kolkata - 700106, India

Phone

+91 33 66251994

Email

kinsuk@nitttrkol.ac.in

kinsuk84@gmail.com

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