Assistant Professor @ NSHM Knowledge Campus

Aurghyadip Kundu

Computer Science Educator & Open Source Researcher

Specializing in High Performance Computing (HPC), IoT Healthcare Architectures, Applied Deep Learning, and Software Engineering. Dedicated to outcome-based pedagogy, curriculum design, and guiding student developer communities from fundamentals to open-source contributions.

Research Publications Contact & Office Hours GitHub LinkedIn
Portrait of Aurghyadip Kundu
M.Tech CSE
4+
Peer-Reviewed Publications (Springer, NASL)
4+
Academic & Industry Positions
6+
Core CSE Courses Taught
M.Tech
Postgraduate Degree in Computer Science

CSE-100 · Orientation & Overview

Academic Profile & Focus

I am an Assistant Professor in the Department of Computer Science & Engineering at NSHM Knowledge Campus, Durgapur. My academic journey combines a rigorous foundation in Computer Science with a passion for modern software engineering, data analytics, and high-performance execution frameworks.

Beyond the classroom, I contribute actively to institutional governance (IQAC Core Committee Member, NAAC Criteria 2 Coordinator) and lead student innovation initiatives such as CodeNEST and the Open Source Student Developers Club.

High Performance Computing

Parallel algorithms, CUDA GPU acceleration, OpenMP/MPI, and high-throughput data processing systems.

Financial AI & Risk Optimisation

Deep learning volatility models, portfolio management, and reinforcement learning for risk mitigation.

IoT & Healthcare Analytics

Edge-cloud architectures, feature selection classifiers (KNN), and COVID-19/cardiac screening models.

Software Engineering & Risk

Sub-process risk modeling, stage-oriented quality metrics, and open-source development workflows.

Key Academic Metrics
Current Designation Assistant Professor
Institution NSHM Knowledge Campus
Academic Experience Since Feb 2022
Postgraduate Degree M.Tech CSE
Undergraduate Degree B.Tech CSE
Institutional Committees IQAC, NAAC, NVIDIA Lab
Student Clubs CodeNEST, Open Source Club

CSE-300 · Scholarly Output

Research Publications

2026 National Academy Science Letters

Deep Learning-Based Volatility Forecasting, Portfolio Management, and Reinforcement Learning-Based Risk Optimisation

Aurghyadip Kundu, et al.
National Academy Science Letters (NASL) — Published Jan 2026
Proposes an end-to-end framework combining temporal deep learning architectures for market volatility prediction with deep reinforcement learning policies to optimize dynamic portfolio rebalancing under non-stationary risk constraints. 
@article{kundu2026deep,
  title={Deep Learning-Based Volatility Forecasting, Portfolio Management, and Reinforcement Learning-Based Risk Optimisation},
  author={Kundu, Aurghyadip and others},
  journal={National Academy Science Letters},
  year={2026},
  month={Jan},
  publisher={Springer / National Academy of Sciences, India}
}
2022 ICADM 2022

Heart Disease Detection Using Feature Selection-Based KNN Classifier

Aurghyadip Kundu, et al.
International Conference on Data Analytics and Management (ICADM) — Jan 2022
Presents a machine learning pipeline using heuristic feature selection to isolate high-impact clinical indicators, improving classification accuracy and speed for early-stage cardiac risk screening. 
@inproceedings{kundu2022heart,
  title={Heart Disease Detection Using Feature Selection-Based KNN Classifier},
  author={Kundu, Aurghyadip and others},
  booktitle={International Conference on Data Analytics and Management (ICADM)},
  year={2022},
  month={Jan}
}
2021 Springer Nature

IoT-Cloud Based Healthcare Model for COVID-19 Detection

Aurghyadip Kundu, et al.
Springer Nature — Published Apr 2021
Demonstrates an integrated IoT sensor cloud framework for non-invasive physiological monitoring, streaming real-time telemetry to cloud-hosted predictive models for early pandemic isolation protocols. 
@article{kundu2021iot,
  title={IoT-Cloud Based Healthcare Model for COVID-19 Detection},
  author={Kundu, Aurghyadip and others},
  journal={Springer Nature},
  year={2021},
  month={Apr},
  publisher={Springer Nature}
}
2018 IJAER

Sub Process and Stage-Oriented Risk Analysis Model for Software Projects

Aurghyadip Kundu, et al.
International Journal of Applied Engineering Research (IJAER) — Jun 2018
Formulates a structured software metrics framework that evaluates project risk at granular sub-process stages, aiding agile software managers in early defect containment. 
@article{kundu2018subprocess,
  title={Sub Process and Stage-Oriented Risk Analysis Model for Software Projects},
  author={Kundu, Aurghyadip and others},
  journal={International Journal of Applied Engineering Research},
  volume={13},
  number={11},
  pages={9102--9108},
  year={2018}
}

CSE-400 · Teaching & Pedagogy

Course Offerings & Curriculum Design

CSE-302

High Performance Computing

Parallel computing paradigms, multi-threaded programming using OpenMP, distributed memory with MPI, and GPU acceleration with NVIDIA CUDA architectures.

C / C++ OpenMP MPI CUDA
CSE-101

Python Programming & Data Systems

Foundational data structures, object-oriented concepts, functional idioms, data analysis with NumPy/Pandas, and building modern web backends.

Python 3 NumPy Pandas Jupyter
CSE-401

Data Warehousing & Mining

ETL pipelines, dimensional modeling, OLAP cubes, association rule mining, clustering, classification algorithms, and enterprise business intelligence.

SQL PostgreSQL Power BI Scikit-Learn
CSE-202

IoT Systems & Embedded Hardware

Sensor interfacing, microcontrollers, BLE/Wi-Fi communication protocols, edge analytics, and real-time cloud data pipelines.

NVIDIA Jetson ESP32 MQTT BLE
CSE-305

Software Engineering & Testing

Agile & DevOps methodologies, UML architecture design, automated unit testing, CI/CD pipelines, and software quality assurance metrics.

Git Docker UML Agile / Scrum
CSE-102

C Programming & Research Methodology

Procedural programming, pointer arithmetic, memory management, statistical analysis methods, and academic paper drafting in LaTeX/Typst.

ANSI C LaTeX Typst Research Ethics

CSE-200 · Career History

Academic Positions & Experience

Aug 2024 — Present

Assistant Professor, Dept. of Computer Science & Engineering

NSHM Knowledge Campus, Durgapur, West Bengal
  • Instructing core courses in Python Programming, Data Warehousing & Mining, and Object-Oriented Design.
  • Serving as an active member of the institutional IQAC Core Committee, leading internal quality audits.
  • Coordinator for institutional innovation and coding ecosystem, CodeNEST.
May 2023 — Jul 2024

Assistant Professor, Dept. of CSE (Faculty of Eng. & Tech.)

Parul University, Vadodara, Gujarat
  • Subject Coordinator for High Performance Computing — crafted university syllabus and lab practicals.
  • Institutional Coordinator for NVIDIA Jetson Collaborative Labs, fostering edge AI research.
  • Departmental Coordinator for NAAC Criteria 2 (Teaching-Learning and Evaluation).
  • Taught Software Engineering, Open Source Software, and IoT systems.
Feb 2022 — Mar 2023

Assistant Professor, Dept. of Information Technology

Calcutta Institute of Engineering & Management (CIEM), Kolkata
  • Taught OOP, Python Programming, Data Mining, and Research Methodology to undergraduate cohorts.
  • Mentored capstone student projects in machine learning and automated smart systems.
Sep 2018 — May 2019

Android & IoT Developer

Fortuna Impex Pvt. Ltd., Kolkata
  • Engineered NFC and Android-based smart canteen management automation.
  • Developed IoT access control systems and supervised developer interns on BLE parking sensors.

CSE-500 · Academic Leadership

Institutional Service & Community Projects

Faculty Advisory

CodeNEST Innovation Club

Coordinator for NSHM's flagship coding club. Organizing hackathons, peer code reviews, and industry speaker sessions to build a vibrant developer culture.

Mentorship · Nov 2024–Present

Open Source Student Developers Club

Founding mentor helping undergraduate developers transition from static tutorials to real open-source repository pull requests and collaborative Git workflows.

Lab Governance

NVIDIA Jetson Collaborative Labs

Served as Institutional Coordinator at Parul University, setting up edge AI hardware testbeds for student research projects in computer vision and robotics.

Academic Project

Automated Smart Library System

NFC and QR-code powered automated library management system developed at CIEM to digitize catalog circulation and reduce administrative overhead.

CSE-600 · Qualifications & Toolkit

Degrees & Technical Competencies

Academic Degrees

M.Tech in Computer Science & Engineering

Brainware University, Kolkata

B.Tech in Computer Science & Engineering

Calcutta Institute of Engineering & Management (CIEM)

Technical & Research Stack

Languages & Systems
Python C C++ SQL JavaScript PostgreSQL
HPC, AI & Data Analytics
OpenMP MPI CUDA NumPy Pandas Power BI Jupyter
DevOps & Academic Tools
Git Docker LaTeX Typst Markdown

CSE-700 · Communication

Office Hours & Academic Inquiries

Open to collaborative research projects, guest lectures, curriculum advisory, and academic roles. Students and researchers can get in touch via email or LinkedIn.

aurghyadipk@gmail.com
aurghyadip-kundu
aurghya-0
© 2026 Aurghyadip Kundu. Designed for academic presentation & deployment on GitHub Pages.
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