Dr. Deepak Agrawal | International Journal of Security Sciences

Editorial Board Member

Name: Dr. Deepak Agrawal

Affiliation:
Associate Professor, Department of Computer Science & Engineering,
Sage University, Indore, Madhya Pradesh, India

Addresss:
Sage University Indore Campus,
Kailod Kartal Indore Rau Bypass Road,
Indore, Madhya Pradesh, 452020

Email: ✉️ deepak.agrawal@sageuniversity.in

Academic Profiles:

Institutional Profile ORCID

Professional Summary

Dr. Deepak Agrawal is an Associate Professor in Computer Science and Engineering at Sage University, Indore. He holds a Ph.D. in Computer Science and Engineering and has over 18 years of academic experience. His teaching and research interests include Data Science, Machine Learning, Deep Learning, Data Structures, Object-Oriented Programming, Python, Software Engineering and Computer Science education. He has authored books, published research papers, contributed book chapters, filed patents and served as a reviewer for international conferences.

Professional Experience

Associate Professor
Sage University, Indore
June 2025 – Present
Assistant Professor
Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore
January 2023 – May 2025
Assistant Professor
Symbiosis University of Applied Sciences, Indore
January 2020 – December 2022
Assistant Professor
Acropolis Institute of Technology & Research, Indore
August 2011 – December 2019
Lecturer
Sanghvi Institute of Management & Science, Indore
August 2007 – July 2011

Academic Qualifications

Degree	University / Board	Session / Year
Ph.D. in Computer Science & Engineering	SAGE University, Indore	2019–2024
M.E. in Computer Science & Engineering	RGPV	2009–2013
B.E. in Information Technology	RGPV	2003–2007

Research Areas

Fraud Detection
Intrusion Detection Systems
Machine Learning
Deep Learning
Data Science
Computer Science and Engineering
Software Engineering
Data Structures
Python Programming
Plant Disease Detection

Technical Proficiency

Category	Details
Programming Languages	C, C++, Core Java, Core Python
Scripting / Web	HTML, JavaScript, CSS
Domains	Data Science, Software Engineering
Python Libraries	NumPy, Pandas, Matplotlib, Seaborn, Plotly, Cufflinks
Applications	Microsoft Excel, Word, Outlook and PowerPoint
Subjects of Interest	Object-Oriented Technology, OOPM, Data Structure, Basic Computer Engineering

Research Output Summary

Category	Details
Academic Experience	Over 18 years of teaching and academic experience
Research Metrics	Citations: 19, H-index: 2, i10-index: 1
Books	Authored books in Machine Learning, Intelligent Systems and Data Structures
Book Chapter	Published Scopus-indexed book chapter with Elsevier
Patents	Published patents in AI, deep learning, water leakage detection, disease detection, automation and assistive systems

Books Published

Machine Learning and Intelligent Systems: Building the Future of Human, LAMBERT Academic Publishing, 2026.
Data Structure using C – Complete Reference, Notion Press, 2019.

Book Chapter

Chapter IV: Optimization and Carbon Reduction Techniques in Green Energy AI and Intelligent Management Applications for Sustainable Power Systems, Elsevier, 2026. Indexed in Scopus.

Selected Publications

Graph Neural Network Approaches for Effective Financial Fraud Detection and Systemic Risk Prediction: A Comprehensive Study.
Literature Review of Different Machine Learning Algorithms for Credit Card Fraud Detection.
Comparative Study of Different Machine Learning Algorithms for Credit Card Fraud Detection.
Proposed Architecture Towards Education System to Improve Practical Aspects of Students Using Local Area Network with Cloud Computing.
Multiple Subgroup of Data Compression Using Huffman Coding.
Measurement Constructs and Decision Criteria for Information Model.
Categorization of Tomato Plant Disease Using Pre-Trained Deep Learning Algorithm.
Enhancement of Inheritance Using Refactoring.

Patents Published

A System and A Method for Training the User in Driving Simulator Environment.
System & Methods to Detect Water Leakage in Underground Pipeline.
Training System & Methods for Skill Development and Entrepreneurship Training for Rural Women.
Electronic Device & Method for Automated Testing & Validation of Engineering Drawings.
System & Methods for Automatic Violence Detection and Emergency Response.
Portable Device and Methods for Non-Invasive Anemia Screening in Women and Girls.
Matrix Computation System and Methods for Executing Matrix Operations.
Edge-Driven Air Quality and Asthma Alert Wearable.
A Deep Learning-Based Edge Intelligence System for Early-Stage Tomato Leaf Disease Detection Under Real Field Conditions.
An AI-Based Decision Support System for Adaptive Disease Management in Tomato Cultivation Using Deep Learning and Environmental Data.
A Deep Learning-Driven Disease Severity Quantification and Progression Prediction System for Tomato Crops.

Academic Responsibilities

Department Academic Coordinator.
Overall Project Coordinator.
Industrial Training Coordinator.
Discipline Committee Member.
Students Mentor and Class Coordinator.
Placement Committee Member.
NBA Committee Member.
Technical Events and Techfest Coordinator.
Alumni Interaction Coordinator.
Member of Anti-Ragging Committee.

Faculty Development Programmes & Certifications

Completed NPTEL Python Course.
Completed course on Data Analysis with Excel under Microsoft Virtual Academy.
Completed Data Science course through Udemy.
Attended FDP on Artificial Intelligence and Machine Learning Techniques.
Attended FDP on Outcome Based Education: A Step towards Excellence.
Attended FDP on Innovative Research Methodologies for Challenging Problems of Future in STEM.
Attended FDP on Python Programming with Industry Perspective.
Attended FDP on Internet of Things.
Attended FDP on Data Structure Using C Programming.

Projects Undertaken

Investigation of Different Deep Learning Algorithms for Tomato Plant Disease Detection.
Intrusion Detection System Based on DBSCAN Using Support Vector Machine.
Data Encryption Algorithm.
Autonomous University Management System.

Awards & Recognitions

Received Best Faculty Award by the Chairman of Acropolis Institute of Technology & Research in 2019–2020.
Received Best Faculty Award by the Chairman of Acropolis Institute of Technology & Research in 2018–2019.
Served as reviewer for international conferences.