Sajjan Singh

PhD Candidate, Data Science and Engineering

Exploring Computer Vision

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Sajjan Singh

Trending Research Topics LIVE

MIT

AI, CS & Quantum

Stanford

LLMs & Robotics

IISc

Computer Vision & ML

IITs

AI/ML · Robotics · Edge AI

IISERs

Computer Vision & ML

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About Me

I’m a Ph.D. candidate in Data Science & Engineering working at the intersection of machine learning, scalable data systems, and theory. My work blends rigorous theory, efficient data architectures, and applied experimentation to build trustworthy AI for vision, language, and decision-making. I publish in top conferences, mentor students, and collaborate with industry partners to translate research into impact.

I collaborate across academia and industry to take ideas from proofs and prototypes to robust, deployable solutions.

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Technical Skills

Python (NumPy, Pandas, Scikit-Learn)
Machine Learning & Deep Learning
Artificial Intelligence & Reinforcement Learning
Computer Vision & Image Processing
Natural Language Processing & LLMs
Explainable AI (XAI) & Generative AI
Statistics & Research Methodologies
MLOps & Model Deployment (Git, Docker, Flask)

Research Interests

Computer Vision

Developing deep visual understanding systems for perception, recognition, and visual reasoning.

Natural Language Processing

Working on large language models, semantic understanding, and multimodal learning for real-world text processing.

Explainable & Responsible AI (XAI)

Designing transparent and interpretable AI models that enhance trust, ethics, and accountability in AI systems.

Data-Centric AI

Focusing on data quality, bias detection, and optimization strategies that improve AI performance and generalization.

Artificial Intelligence

Creating intelligent systems that combine symbolic reasoning and data-driven learning for complex decision-making.

Machine Learning & Deep Learning

Advancing supervised, unsupervised, and self-supervised learning models for real-world applications.

Reinforcement Learning

Investigating autonomous agents that learn through interaction and adaptive optimization of rewards.

Generative & Self-Learning Models

Exploring generative AI for creative synthesis and data-efficient model training strategies.

Big Data & Data Engineering

Designing scalable data pipelines and distributed architectures for real-time analytics and scientific data processing.

Data Analytics & Visualization

Exploring interpretable data analytics and visualization tools for actionable insights in large-scale systems.

Cloud & Edge Computing

Building resource-efficient computing frameworks for AI-driven data workflows in distributed environments.

Federated & Privacy-Preserving Learning

Developing secure, decentralized machine learning models that ensure data privacy and fairness across networks.

Publications & Research Work

2024

Federated Learning: A Potentially Effective Method for Improving the Efficiency and Privacy of Machine Learning

International Journal of Convergent Research (IJCR)

Nishant Jakhar, Sajjan Singh

This paper examines various security mechanisms and addresses potential adversaries and dangers in decentralized federated learning. The verifiability and trustworthiness of decentralized federated learning are also considered.

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Jakhar, N., & Singh, S. (2024). Federated Learning: A Potentially Effective Method for Improving the Efficiency and Privacy of Machine Learning . International Journal of Convergent Research, 1(1).

2024

Improve Student Control in Virtual Classrooms using Wireless Net and IoT

National Conference on Future Computing Technologies for Sustainable Development (NCFCTSD-24)

Rohit, Singh S.

In this study, we describe a method to monitor students using ad-hoc Wireless Networks (ad-hoc-WNs) that can be deployed seamlessly between wearable and mobile devices. This enables the transmission of vital signs in critical and emergency situations.

View Paper Cite

Rohit, Singh S. (2024). Improve Student Control in Virtual Classrooms using Wireless Net and IoT. Proceedings of the National Conference on Future Computing Technologies for Sustainable Development (NCFCTSD-24).

2025

Early Diabetes Detection via Federated Convolutional Neural Networks

In Press - Chapter in AI‑Driven Healthcare Systems

Singh S.

This chapter introduces a privacy‑preserving federated CNN framework for early detection of diabetes across multiple clinical sites. By combining local model training on distributed patient datasets with secure aggregation, it achieves an AUC of 0.92 while ensuring no raw data leaves the originating hospital. Key contributions include a novel gradient‑quantization technique to reduce communication overhead by 40% and an adaptive learning schedule that tailors model updates to heterogeneous device capabilities.

In Press Cite

Singh, S. (2024). Early Diabetes Detection via Federated Convolutional Neural Networks

Conference Presentations

2025

Emerging Trends : A Practical Approach

In Progress.....

Notable Projects

Active Development in 2025

Distributed Database System

Distributed Database System

A scalable distributed database system with support for ACID transactions and fault tolerance.

C++ Distributed Systems Consensus Algorithms
Deep Learning Framework

Custom Deep Learning Framework

A lightweight deep learning framework built from scratch with support for various neural network architectures.

Python NumPy CUDA
Compiler Design

Compiler for Custom Language

A complete compiler implementation for a custom programming language, including lexical analysis, parsing, and code generation.

C LLVM Compiler Design
Network Security Tool

Network Security Analysis Tool

A comprehensive tool for analyzing network traffic and detecting potential security threats in real-time.

Python Network Security Machine Learning
Research Collaboration Platform

Research Collaboration Platform

A web platform for researchers to collaborate on projects, share resources, and publish findings.

JavaScript Node.js MongoDB
NLP System

Natural Language Processing System

An end-to-end NLP system for text analysis, sentiment detection, and language generation.

Python TensorFlow NLP

Awards & Achievements

2025

IISERB - Central Vigilance Commission

IInd Prize - Self-composed Slogan Writing


Consolation Prize - Self-composed Poem Competition


2025

IISERB - Nasha Mukat Bharat Abhiyaan Competitions

IInd Prize - Essay Writing Competition


IIIrd Prize - Slogan Writing Competition


2025

IISERB - Nasha Mukat Bharat Abhiyaan Competitions

IInd Prize - Essay Writing Competition


IIIrd Prize - Slogan Writing Competition


2025

IISERB - Anti-Ragging Awarness Competition

Ist Prize - Essay Writing Competition

2025

Qualified UGC NET 2025

Paper Code: Computer Science

2025

Qualified GATE 2025

Paper Code: Computer Science

2023-2024

Special Interest Group (SIG) Head

School of Engineering and Technology, Om Sterling Global University, Hisar

2023-2025

Head of Computing and Research

Organized Techno-A-Thon, Viral Tweet Hackathon, and workshops on Data Science, Cyber Security, and Algorithms

2024

Academic Excellence Recognition

Awarded by Om Sterling University for outstanding work as Teaching Assistant

2020-2023

Merit Award - Batch Topper

Topped the batch for 3 consecutive years

2021-2022

Special Interest Group (SIG) Head

Society for New Innovation (SNI), Om Sterling Global University, Hisar

2021

1st Prize - State Level Online Computer Science Quiz

Organized by Govt. P.G. College for Women

2021

Best Boys Youth Award

International YRC Online Camp Organised by AIJHM College

Top Computer Science Researchers

Tim Berners-Lee

Tim Berners-Lee

MIT, W3C

World Wide Web, Semantic Web

Inventor of the World Wide Web and pioneer of the Semantic Web. His work revolutionized information sharing globally.

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Geoffrey Hinton

Geoffrey Hinton

University of Toronto, Google

Deep Learning, Neural Networks

Known as the "Godfather of Deep Learning" for his pioneering work on neural networks and backpropagation.

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Yoshua Bengio

Yoshua Bengio

University of Montreal, MILA

Deep Learning, AI

Pioneer in deep learning and neural networks, with significant contributions to machine learning algorithms.

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Andrew Ng

Andrew Ng

Stanford University, Landing AI

Machine Learning, AI Education

Pioneer in online education for AI and machine learning, founder of deeplearning.ai and co-founder of Coursera.

View Publications
Fei-Fei Li

Fei-Fei Li

Stanford University

Computer Vision, AI

Pioneer in computer vision and ImageNet, advancing visual recognition systems and AI ethics.

View Publications
Barbara Liskov

Barbara Liskov

MIT

Programming Languages, Distributed Systems

Developed the Liskov Substitution Principle and made fundamental contributions to programming language design.

View Publications
Leslie Lamport

Leslie Lamport

Microsoft Research

Distributed Systems, Formal Verification

Created LaTeX and made fundamental contributions to distributed systems theory including the Paxos algorithm.

View Publications
Raj Reddy

Raj Reddy

Carnegie Mellon University

AI, Speech Recognition

Pioneer in AI and speech recognition systems, with significant contributions to human-computer interaction.

View Publications
Yann LeCun

Yann LeCun

NYU, Meta AI Research

Deep Learning, Computer Vision

Pioneer in convolutional neural networks and deep learning, with applications in computer vision.

View Publications

Research Articles & Blog

Scikit Learn Tutorial
Scikit Learn
March 15, 2025

Scikit Learn

Master machine learning with Scikit-Learn - the most powerful and beginner-friendly

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The Future of AI
Artificial Intelligence
March 15, 2024

The Future of AI: Balancing Innovation and Ethics

An exploration of the ethical considerations in artificial intelligence development and how researchers can balance innovation with responsible deployment.

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Quantum Computing
Quantum Computing
February 28, 2024

Quantum Computing: Breaking the Classical Barriers

A deep dive into how quantum computing is poised to revolutionize computational capabilities beyond classical limits.

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Cybersecurity Challenges
Cybersecurity
January 10, 2024

Emerging Cybersecurity Challenges in the Age of IoT

Analyzing the unique security challenges posed by the proliferation of Internet of Things devices and potential solutions.

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Distributed Systems
Distributed Systems
December 5, 2023

Consensus Algorithms in Distributed Systems: A Comparative Analysis

Comparing different consensus mechanisms for distributed systems and their applications in blockchain and beyond.

Read Article
HTML Tutorial
Web Development
April 1, 2024

Complete HTML Tutorial: From Basics to Advanced

Learn HTML from scratch with examples, code snippets, and best practices for building the structure of web pages.

Read Tutorial
CSS Tutorial
Web Development
April 5, 2024

CSS Tutorial: Styling Your Web Pages

Master CSS with this comprehensive guide covering selectors, properties, layouts, animations, and responsive design.

Read Tutorial
JavaScript Tutorial
Web Development
April 10, 2024

JavaScript Tutorial: Dynamic Web Programming

Learn JavaScript fundamentals, DOM manipulation, events, async programming, and modern ES6+ features.

Read Tutorial

Get In Touch

Email

sajjansingh72277@gmail.com

Location

Jhajjar, Haryana, India

Academic Inquiries

Open for research collaborations

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