Nishant
Munjal

Teacher Researcher Tech Creator

Educator, researcher, and lifelong learner passionate about making technology meaningful and accessible — building the future of education through code.

Dr. Nishant Kumar, Ph.D. · Senior Assistant Professor · Dept. of CSE
Gurukula Kangri (Deemed to be University), Haridwar

Dr. Nishant Munjal

WHO I AM

Three Dimensions, One Mission

The Teacher

With 15 years of experience, I help students unlock the power of problem-solving through programming — especially in C — and translate complex AI concepts into intuitive, self-paced learning experiences.

The Researcher

My research spans deep learning, reinforcement learning and cloud computing — from personalized recommendation systems and explainable AI to cloud resource scheduling — bringing theoretical models to real-world relevance.

The Creator

Building technology solutions that solve real problems in education and beyond — from EdTech platforms and full-stack prototypes to AI-powered tools that make learning more accessible and engaging.

ABOUT

Driven by Purpose

I'm an educator, researcher, and lifelong learner passionate about making technology meaningful and accessible. My work lives at the intersection of computer science and education, where I help students unlock the power of problem-solving through programming — especially in C — and translate complex AI concepts into intuitive, self-paced learning experiences.

My research focuses on deep learning, with a current emphasis on reinforcement learning, cloud computing and personalized recommendation systems. I apply reinforcement learning to cloud resource management and explore hybrid models that bridge multiple domains, aiming to improve how we understand user behavior across platforms. Whether it's LSTMs, GANs, or autoencoders, I thrive on bringing theoretical models to real-world relevance.

Let's build things that matter — intelligently, ethically, and with purpose.

PUBLICATIONS

Selected Publications

  1. Integrating explainable AI with machine learning for water quality assessment: Unveiling physical drivers and spatial dynamics
    Dr. Nishant Kumar, Namit Khanduja, Sanjeev Lambha, Sanjeev Kumar, Anju Mishra, Lalan Kumar
    Progress in Physical Geography: Earth and Environment · 2026
    ScopusWeb of ScienceSCI DOI
  2. A Comprehensive Review of Product Recommendation Systems using Deeplearning Techniques
    Knowledge and Information Systems · 2025
    ScopusSCI DOI
  3. A deep transfer learning-based approaches for the detection and classification of acute lymphocytic leukemia using microscopic images
    Multimedia Tools and Applications · 2024
    ScopusSCI DOI
  4. A Review of Deep Learning‑Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs
    Archives of Computational Methods in Engineering · 2023
    ScopusSCI DOI
  5. A machine learning-based crop recommendation system using soil ecology for sustainable agriculture
    Environment Conservation Journal · 2025
    Scopus DOI
  6. Telugu language hate speech detection using deep learning transformer models: Corpus generation and evaluation
    Systems and Soft Computing · 2024
    Scopus DOI
  7. Optimization and Prediction of Karanja oil transesterification with domestic microwave by RSM and ANN
    Sunil Kumar, Mayank Aggrawal, Dr. Nishant Kumar, Vikas Deswal
    International Journal of Ambient Energy · 2022
    Scopus DOI
  8. Sentiment Classification for Low-Resource Indian Languages Using Multilingual Transformers and Parameter-Efficient Fine-Tuning
    Namit Khanduja, Dr. Nishant Kumar, Dr. Arun Chauhan
    International Journal of Innovative Research in Technology · 2026
    Peer Review DOI
All Publications Download CV

PHILOSOPHY

Research & Teaching Statements

Research Statement

My research develops intelligent, explainable and resource-efficient systems. I work on reinforcement learning for cloud resource management, deep learning for personalized recommendation, and explainable AI for applied problems such as water quality, agriculture and low-resource Indian language understanding. I favour hybrid models that connect domains, and I test them on real data and real deployments so that results matter beyond the benchmark.

Teaching Statement

With fifteen years in the classroom, I teach programming, especially C, as a way to learn problem-solving first and syntax second. I make AI concepts intuitive through worked examples, self-paced material and hands-on projects, and I supervise research so that students learn to ask good questions, not only to run experiments. Strong foundations, clear communication and ethical practice guide every course I teach.

BUILDING & LEADING

Apps & Institutional Service

GKV Attendance App

Geolocation-based attendance for students and faculty of Gurukula Kangri.

View App →

Research Management System

Digitises the faculty research lifecycle for the university IQAC.

View App →

Alumni Management Portal

Connects graduates with the university through events and a searchable directory.

View App →

CrowdSpark

Real-time gamified quizzes and polls with AI question generation.

View App →

Administrative Responsibility

Website administration of www.gkv.ac.in and Joint Director, IQAC, Gurukula Kangri (Deemed to be University).

View Roles →

Awards & Recognition

Honours and certificates of appreciation, including the NPTEL SWAYAM Top Performing Mentor award.

View Awards →
All Apps & Projects Research Guidance

RESEARCH

Areas of Exploration

Large Language Model (LLM) Hallucinations: An Emerging Challenge in Generative Artificial Intelligence

Introduction Large Language Models (LLMs) such as OpenAI ChatGPT, Google Gemini, and Anthropic Claude have revolutionized natural language processing by demonstrating remarkable capabilities in text generation, question answering, summarization, translation,...

Learn More →

Understanding Hybrid Deep Learning Architectures for Multi-Domain Recommendations

Exploring generative models like GANs to address data sparsity in recommender systems.

Learn More →

Adaptive Learning Pathways via Reinforcement Learning

Developing self-paced learning structures that adapt dynamically based on student performance.

Learn More →

Personalized Recommendation Systems using Deep Learning

Designing hybrid models (LSTMs, autoencoders) to improve user modeling and recommendation accuracy.

Learn More →
View All Research

INSIGHTS

Latest Articles

October 2, 2026

DPDP Parental Consent: Children’s Data Rules in India (Rule 10)

Under the DPDP Act anyone under 18 is a child. Learn what verifiable parental consent means, Rule 10, the tracking…

Read More →

October 1, 2026

DPDP Breach Notification: Rule 7 and the 72-Hour Clock

What India's DPDP Rules require after a personal data breach: who to notify, the 72-hour Board report, penalties and a…

Read More →

August 19, 2026

AI LAB: From Prompt to Possibility

AI Lab — From Prompt to Possibility AI LAB From Prompt to Possibility Hands-on AI activities for MBA, BBA and…

Read More →
View All Posts

Let's Collaborate

Interested in research collaboration, academic consultation, or have questions? I'd love to hear from you.