Dr. Amit Sagu

Head of Department & Assistant Professor | Department of Computer Science & Engineering

Academic leader and researcher focusing on IoT Security, Machine Learning, Deep Learning, and Cyber-Physical Systems. Author of books on Cyber Security and Machine Learning.

239+

Google Scholar Citations

8 / 7

h-index / i10-index

7.5

Max Impact Factor (IEEE)

2

Published Books

Featured Projects & Software Systems

Live System

ATOS – Academic Timetable Optimization System

This is an automated Timetable Optimization System designed to help colleges and universities create smart, clash-free class schedules in minutes. It easily handles faculty workloads, classroom availability, and subject allocations without manual effort.

For Colleges & Universities Auto Timetable Generation Faculty Workload Manager Cloud Based
Live Portal

Department Information & Mentor Directory Portal

An easy-to-use departmental web portal that helps students quickly find their faculty mentors, check assigned batches, and connect with teachers directly.

AI Assisted Dev Netlify Cloud Student Mentorship

Popular Lectures on YouTube (CSE Simplified)

Watch tutorials on .NET Framework, C#, Information Retrieval Systems, and Machine Learning.

Authored Books

Machine Learning for Everyone Book Cover
Machine Learning for Everyone
A Beginner’s Journey (Co-Authored)

ISBN: 978-93-49773-77-6 (2025)

Cyber Security Book Cover
Cyber Security
Understanding the concept of cyber security, cybercrime, cyber forensic and standards.

ISBN: 9789389960952 (2020)

Academic Experience

Head of Department (CSE)

Dec 2024 – Present

MVN University Palwal, Haryana

Assistant Professor (CSE)

Dec 2023 – Present

MVN University Palwal, Haryana

Senior Research Fellow (SRF)

2020 – 2023

Maharshi Dayanand University (MDU), Rohtak

Junior Research Fellow (JRF)

2018 – 2020

Maharshi Dayanand University (MDU), Rohtak

Education & Achievements

Ph.D. in Computer Science

Awarded Dec 2024

Department of Computer Science & Applications, Maharshi Dayanand University (MDU), Rohtak.

M.Sc. (Computer Science)

2014 – 2016

Department of Computer Science & Applications, Kurukshetra University, Kurukshetra, Haryana.

UGC NET-JRF Qualified

2017, 2018 (JRF), 2019

Awarded Junior Research Fellowship by Union Grants Commission (UGC) India.

Research Publications

1. Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems
Amit Sagu, Nasib Singh Gill, Preeti Gulia, Ishani Priyadarshini and Jyotir Moy Chatterjee
IEEE Transactions on Big Data, vol. 1, pp. 1-12 (2024) SCIE & SCOPUS Impact Factor: 7.5 DOI: 10.1109/TBDATA.2024.3372368
2. Scalable and Interpretable Deep Learning-Based Intrusion Detection Framework for Secure Internet of Things Networks
Amit Sagu, Nasib Singh Gill, Preeti Gulia et al.
Security and Privacy, Wiley (2026) ESCI & SCOPUS Impact Factor: 2.1 DOI: 10.1002/spy2.70179
3. Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm
Amit Sagu, Nasib Singh Gill, Gulia P. et al.
Scientific Reports (Nature), 15, 16485 (2025) SCIE & SCOPUS Impact Factor: 3.8 DOI: 10.1038/s41598-025-99574-9
4. Design of Metaheuristic Optimization Algorithms for Deep Learning Model for Secure IoT Environment
Amit Sagu, Nasib Singh Gill, Preeti Gulia, Pradeep Kumar Singh, Wei-Chiang Hong
Sustainability 15, no. 3: 2204 (2023) SCIE & SCOPUS Impact Factor: 3.3 DOI: 10.3390/su15032204
5. A Hybrid Deep Learning Model with Self-Improved Optimization Algorithm for Detection of Security Attacks in IoT Environment
Amit Sagu, Nasib Singh Gill, Preeti Gulia, Jyotir Moy Chatterjee, Ishaani Priyadarshini
Future Internet 14, no. 10: 301 (2022) SCI & SCOPUS Impact Factor: 2.8 DOI: 10.3390/fi14100301
6. Hybrid Deep Neural Network Model for Detection of Security Attacks in IoT Enabled Environment
Amit Sagu, Nasib Singh Gill, Preeti Gulia
International Journal of Advanced Computer Science and Applications (IJACSA), 13(1) (2022) ESCI & SCOPUS Impact Factor: 0.7 DOI: 10.14569/IJACSA.2022.0130115
7. Artificial Neural Network for the Internet of Things Security
Amit Sagu, Nasib Singh Gill, Preeti Gulia
International Journal of Engineering Trends and Technology (IJETT), 68.11, pp. 129-136 (2020) SCOPUS DOI: 10.14445/22315381/IJETT-V68I11P218
8. Enhancing IoT Security Attack Classification with Weighted Ensemble and Optimized Machine Learning Models
Amit Sagu, Sumit, Susheel Kumar et al.
IEEE ICINVENTS-2025 | SKCET, CBE (2025) IEEE / SCOPUS ISBN: 979-8-3315-5662-4
9. Machine Learning Decision Tree Classifier and Logistics Regression Model
Amit Sagu, Nasib Singh Gill
International Journal of Advanced Trends in Computer Science and Engineering, 9(1.4) (2020) SCOPUS DOI: 10.30534/ijatcse/2020/2491.42020
10. Securing IoT Environment using Machine Learning Techniques
Amit Sagu, Nasib Singh Gill
International Journal of Engineering and Advanced Technology (IJEAT), 9(3) (2020) SCOPUS DOI: 10.35940/ijeat.C5339.029320
11. Machine Learning Techniques for Securing IoT Environment
Amit Sagu, Nasib Singh Gill
International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(4) (2020) SCOPUS DOI: 10.35940/ijitee.D1209.029420
12. Digital Forensics in IoT Enabled Smart Environment: Need of the Hour
Deepti Rani, Nasib Singh Gill, Preeti Gulia, Amit Sagu
IEEE ICCCIS 2022, Greater Noida, India, pp. 18-23 (2022) IEEE / SCOPUS DOI: 10.1109/ICCCIS56430.2022.10037625
13. Comparative Analysis of Machine Learning Algorithms for Securing IoT Enabled Environment
Amit Sagu, Nasib Singh Gill, Preeti Gulia, Deepti Rani, Ayushi Chahal
IEEE ICCCIS 2022, Greater Noida, India, pp. 24-29 (2022) IEEE / SCOPUS DOI: 10.1109/ICCCIS56430.2022.10037688
14. Preserving Users’ Sensitive Data in Physical and Virtual World Using Machine Learning: A Strategy
Nasib Singh Gill, Preeti Gulia, Amit Sagu, Bharti Goyal
ACM ICISDM '23, New York, NY, USA, pp. 18–23 (2023) ACM DOI: 10.1145/3603765.3603773
15. The Intrusion Detection System for Ensuring Security in The Smart Grid: A Review
Rashi Singh, Nasib Singh Gill, Preeti Gulia, Amit Sagu
NCCIDS-23, Maharshi Dayanand University Rohtak, pp. 250-254 (2023) CSI Proceedings ISBN: 978-93-80544-50-2
16. Machine Learning Approach for Securing of IoT Environment
Amit Sagu, Nasib Singh Gill, Preeti Gulia, Deepti Rani
Springer ICICC-2023, vol 703, pp. 849–858 (2023) Springer / SCOPUS DOI: 10.1007/978-981-99-3315-0_65
17. Anomaly Detection Approaches for IoT Using Deep Learning Models: Review
Amit Sagu, Nasib Singh Gill, Preeti Gulia, Rashi Singh
NCCIDS-23, Maharshi Dayanand University Rohtak, pp. 603-607 (2023) CSI Proceedings ISBN: 978-93-80544-50-2
18. Machine Learning Applications for Detecting and Mitigating IoT Threats
Amit Sagu, Nasib Singh Gill, Preeti Gulia
NCFCTSD-2024, Maharshi Dayanand University Rohtak, pp. 252-256 (2024) Conference Proceedings ISBN: 978-93-8-544-57-1
19. Machine Learning and Data Analytics (Cover Story)
Amit Sagu, Tarika Verma and Nasib Singh Gill
CSI Communications, Volume No. 43(2), pp. 6-8 (May 2019) ISSN: 0970-647X
20. Data Analytics in Machine Learning: Role and Future Perspectives (Research Front)
Tarika Verma, Amit Sagu and Nasib Singh Gill
CSI Communications, Volume No. 43(3), pp. 41-43 (June 2019) ISSN: 0970-647X
21. Review of Lightweight Cryptography Algorithms for IoT Environment
Amit Sagu and Nasib Singh Gill
ETSC-19, Maharshi Dayanand University, Rohtak, pp. 292-295 (2019) ISBN: 978-93-80544-35-9
22. An Enhanced Credit Risk Classification Framework Using Hybrid Genetic Algorithm and Machine Learning Models
Kumar S, Singh S K, Singh N, Amit Sagu
Cureus Journal of Computer Science, 2: es44389-025-10241-6 (2025) Journal Article DOI: 10.7759/s44389-025-10241-6
23. Book Chapter: Human-Centric Educational Revolution in the Metaverse: Integrating AI, IoT, and AR for Inclusive Learning
Amit Sagu, Susheel Kumar, Shashi Kant Singh and Sumit
IGI Global Scientific (Accepted) SCOPUS Indexed Book Chapter

Let's Collaborate & Connect

Digital & IT Solutions

  • Institutional Software: Academic scheduling (like ATOS), mentor directories, and ERP systems for schools/colleges.
  • AI & Web Development: Custom cloud applications and AI-driven workflow automation.
  • Technical Consultation: System architecture design, database management, and deployment.

Student & Academic Mentoring

  • Research Mentorship: Guidance for Ph.D./M.Tech/B.Tech students in Machine Learning, Deep Learning, and IoT Security.
  • Skill Development: Hands-on training in C#, .NET, Python, Data Structures, and Algorithms.
  • Career Counseling: Academic career path guidance and UGC NET/JRF preparation advice.
Location:
Sector-64, Faridabad, Haryana, 121004
Email:
saguamit98@gmail.com
WhatsApp / Direct:
+91 9467702051
LinkedIn:
linkedin.com/in/saguamit51
Google Scholar:
View Scholar Profile