Summary
Overview
Work History
Education
Skills
Accomplishments
Additional Information
Timeline
Generic
Dr. Puneet Kumar  Aggarwal

Dr. Puneet Kumar Aggarwal

Associate Professor
New Delhi

Summary

Passionate Associate Professor with more then 10 years of experience administering education and classroom procedures both autonomously and in collaboration with department faculty and leaders. Building foundations for next generation of academics and workforce pioneers.

Overview

13
13
years of professional experience
51
51
years of post-secondary education

Work History

Associate Professor

ABES Engineering College
08.2020 - Current

Assistant Professor

HMR Institute of Technology and Management
10.2012 - 07.2020

Assistant Professor

BIT
08.2011 - 10.2012

Education

Post-Doc - Computer Science And Engineering

DY Patil University And University of USA
Pune, India
04.2001 - 04.2024

Ph.D. - Information Technology

Amity University
Noida, India
04.2001 - 04.2001

M.Tech - Information Technology

CDAC
Noida, India
04.2001 - 05.2020

B.Tech - Computer Science Engineering

ABES Engineering College
Ghaziabad, India
05.2012 - 05.2020

Diploma - Electronics & Communication Engineering

MIT, Affiliated From BTE
Delhi, India
05.2005

PG Diploma - System And Database Administration

C-DAC
Noida, India
01.2008 - 04.2009

Skills

Lesson Planning

Online Class Discussion

Academic advising

Research expertise

Curriculum Creation

Educational leadership

Research and analysis

Accomplishments

JOURNAL PAPERS

CONFERENCE PAPERS

1. Puneet Kumar Aggarwal “Robot Teacher Named IRIS”, International Conference on Data analytics and Management ICDAM 2024.

2. Puneet Kumar Aggarwal “Sentiment Analysis of E-commerce”, International Conference on Data analytics and Management ICDAM 2024.

3. Puneet Kumar Aggarwal “Personalized nutrition recommendation system using machine learning and deep learning”,2nd International conference on Machine intelligence for research and innovation MAITRI 2024.

4. Puneet Kumar Aggarwal “Doctor Appointment System”, International Conference on Data analytics and Management ICDAM 2024.

5. Puneet Kumar Aggarwal, Rajan Sharma, Rushil Khare, Shubhika Singh, “E-commerce Application using PHP and Web Development: A Review”, International Conference on Disruptive Technologies (ICDT), pp.755-758, 2023.

6. Garima Rawat, Tejaswika Pandey, Tarushi Singh, Sonal Yadav, Punnet Kumar Aggarwal, “Fake News Detection Using Machine Learning”, International Conference on Artificial Intelligence and Smart Communication (AISC), pp. 759-762, 2023.

7. Chaya Rawal, Punnet Kumar, Sachin Goel, Shurti Jain, Harshit Pandey, Vinay Kumar, “Automated system to detect social distancing among humans during covid pandemic situation”, International Conference on Artificial Intelligence and Smart Communication (AISC), pp. 746-750, 2023.

8. Mansi Aggarwal, Sachin Goel, Punnet Kumar Aggarwal, Tanay Srivastava, Anushruti Srivastava, Vidhushi Gupta, Ishani Ishani, “A Recommendation System to Envision Movie Ranking Using Collaborative Filtering”, International Conference on Artificial Intelligence and Smart Communication (AISC), pp. 755-758, 2023.

9. Jaya Srivastava, Punnet Kumar Aggarwal, Sachin Goel, Pranav Shukla, Saurabh Yadav, Vishal Jain, “The Scripter: A Tool for Penetration Testing”, International Conference on Artificial Intelligence and Smart Communication (AISC), pp. 751-754, 2023.

10. Yamini Singh, Punnet Kumar, Sachin Goel, Priyank Garg, Tanya Srivastava, Mridul Bhardwaj, “Anuvadak: Language System using Machine Learning Techniques”, International Conference on Artificial Intelligence and Smart Communication (AISC), pp. 742-745, 2023.

11. Mandeep Singh, Ritesh Yadav, Prafull Mishra, Parita Jain, Puneet Kumar Aggarwal, “Enhancing Data Security through RSA Algorithm”, Innovations in Clean Energy Technologies (ICET-2023) at Energy Centre, 2023.

12. Prachi Pundhir, Aatif Jamshed, Puneet Kumar Aggarwal, Sukrati Pateriya, Vaani Tyagi, Vanshita Garg, “2019-nCovid Safe – a deep learning application for crowd management”, in Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023), Vol. 1, pp. 07, Taylor and Francis Group, 2023.

13. Puneet Kumar Aggarwal “Advance QR code-based Attendance Management System”, IEEE 1st Dmiher (DU) International Conference in “Artificial Intelligence in Education and Industry 4.0 IDICAIEI 2023.

14. Puneet Kumar Aggarwal “Computer Aided Disease prediction using Machine Learning”, IEEE 1st Dmiher (DU) International Conference in “Artificial Intelligence in Education and Industry 4.0 IDICAIEI 2023.

15. Puneet Kumar Aggarwal “Medical record management system using blockchain technology”, IEEE 1stDmiher (DU) International Conference in “Artificial Intelligence in Education and Industry 4.0 IDICAIEI 2023.

16. Puneet Kumar Aggarwal “Automated Heart Disease Prediction System using Machine Learning Approaches”, IEEE 1st Dmiher (DU) International Conference in “Artificial Intelligence in Education and Industry 4.0 IDICAIEI 2023.

17. P. Jain, S. Sharma, Monica, P.K. Aggarwal, “Classifying Fake News Detection Using SVM, Naive Bayes and LSTM”, in Proceedings of the International Conference on Cloud Computing, Data Science & Engineering- Confluence, 2022.

18. Puneet K. Aggarwal, S. Sharma, Riya, P. Jain, Anupam, “Gaps Identification for User Experience for Model Driven Engineering”, in Proceedings of the International Conference on Cloud Computing, Data Science & Engineering- Confluence, pp. 196-199, 2021.

19. Poorvi Chaudhary, Sachin Goel, Parita Jain, Mandeep Singh, Puneet Kumar Aggarwal, Anupam, “The Astounding Relationship: Middleware, Frameworks, and API”, In Proceedings of the International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021.

20. Kshirja Makar, Sachin Goel, Prabhjot Kaur, Mandeep Singh, Parita Jain, Puneet Kumar Aggarwal, “Reliability of Mobile Applications: A Review and Some Perspectives”, In Proceedings of the International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021.

21. Parita Jain, Anupam Sharma, Puneet K Aggarwal, “Key Attributes for a Quality Mobile Application”, in Proceedings of the International Conference on Cloud Computing, Data Science & Engineering- Confluence, 2020.

22. 22. P. Jain, Anupam, Puneet K. Aggarwal, K. Makar, V. Shrivastava, S. Maitrey, “Machine Learning for Web Development: A Fusion”, in Proceedings of AIST2020, 2020.

23. 23. Puneet K. Aggarwal, P.S. Grover, and L. Ahuja, “Locating Usability Critical Factors for Mobile Applications Using ELECTRI-TRI Method”, In Proceedings of IEEE International Conference on Confluence, pp. 597-600, 2019.

24. Puneet K. Aggarwal, PS Grover, L. Ahuja, “A Performance Evaluation Model for Mobile Applications”, In Proceedings of 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), pp.1-3, 2019.

25. Puneet K. Aggarwal, P.S. Grover, and L. Ahuja, “Security Aspect in Instant Mobile Messaging Applications,” In Proceedings of IEEE International Conference on Recent Advances on Engineering, Technology and Computational Sciences (RAETCS), pp.1-5, 2018.

26. Puneet K. Aggarwal, P.S. Grover, and L. Ahuja, “Incorporating Autonomic Capability as Quality Attribute for Software Systems”, In Proceedings of IEEE International Conference on Reliability, Infocom Technologies and Optimization, 2018.

27. Puneet K. Aggarwal, P.S. Grover, and L. Ahuja, “Study of Quality Aspect for Mobile Application” in Proceedings of Joint International Conference For Interdisciplinary Research And 8th International Conference On Quality , Reliability Infocom Technology And Business Operations, 2016.

28. Puneet K Aggarwal, P. Nigam, V. Shrivastava, “Self-Controlled Traffic Management Using Autonomy Systems” in Proceedings of International Conference on Computing for Sustainable Development (INDIACOM), pp. 3813-3815, 2016.

29. Puneet K. Aggarwal, Parita Jain, “Adaptive approach for Information Hiding in WWW Pages” in Proceedings of International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014.

INTERNATIONAL PATENTS

1. Intelligent System For Mango Disease Detection Using Machine Learning And IoT Sensor, 2021, Germany Patent Office (Patent Application No.: 20 2021 106 8213). (Patent Grant)
2. Machine Learning and artificial intelligence based intelligent controlling and monitoring system for an automatic air conditioner”, 2022 Australian Patent (Patent Application No:
2021103400). (Patent Grant)

NATIONAL PATENTS

1. Remote Health Care for Eye Disease Prediction, 2024. (Patent Application No.: 202411032644)

2. Remotely Monitoring PH and EC Levels of plants for Farmers in Hydropo, 2024. (Patent Application No.: 202411032645)

3. Water Quality Monitoring And Awareness Message System Model In Smart Cities,2023. (Patent Application No.:202341079921)

4. Cybershield: Ai-Powered Network Security System With Machine Learning Algorithm, 2023. (Patent Application No.:202341076845)

5. Smart Agriculture Robot with AI to Identify Disease And Plant Health” 2023. (Patent Application No.: 202341054306).

6. Intelligent Ai With Machine Vision For Reading Recognition System” 2023. (Patent Application No.: 202321055087).

7. Intelligent Plant Health Monitoring Systematic Method Based on Machine Learning For Precision In Smart Agriculture, 2023. (Patent Application No.: 202341066047)

8. Hexapedal Robot Assistant to provide non-contact service to customers at restaurants, 2023. (Patent Application No.: 359760001) Design Patent Granted

9. Self-Alarming Battery-Imposed Dispenser System for Hand Hygiene, 2022. (Patent Application No. 202211065312).

10. Aadhunik Palna for Baby, 2022. (Patent Application No. 202211061699).

11. A Biodiversity Portal for Digitizing Andaman and Nicobar’s Biodiversity International Patents Publication Of Books Information, 2021. (Patent Application No. 202111059210).

12. Method for Cyber Security in Email Communication Among Networked Computing Devices, 2020. (Patent Application No. 202031002649).

13. Machine Learning Based System for Monitoring bacteria & foreign Matters in Liquid, 2020. (Patent Application No. 202011027196).

14. Machine Learning Based System for Evaluation & Prediction of Lung Cancer using Computed Tomography images, 2020. (Patent Application No.202011038445).

15. Biometric Authentication Based Computer Implemented Method for Secure and Easy Automatic Generating Demand Draft/Pay Order, 2019. (Patent Application No. 201941036392).

16. Data Mining Based Computer Implemented Method of Churn Prediction using Machine Learning Techniques, 2019. (Patent Application No. 201941050314).

BOOKS PUBLISHED

1. Book title “Security and Privacy in 6G communication Technology” to be published under the Scrivener Publication (Wiley), 2024. (Approved)

2. Book title “Optimized Energy Management strategies for Electrical Vehicles” to be published under the IGI Global Publication, 2024 (Approved)

3. Wireless Communication & Mobile Programming for Gujarat Technological University

Mobile Computing for Pune University

BOOK CHAPTERS PUBLISHED

1. Chapter titled “Cyber Security Challenges, Vulnerabilities and Implications for AI-empowered Electric Vehicles”, communicated for the book “Intelligent Control and Design of Converters for Renewable Energy Sources and Electric Vehicle Applications” to be published by CRC Press [Communicated]

2. Chapter titled “Smart Energy Management using Vehicle-to Vehicle and Vehicle-to-Everything” communicated for the book “Intelligent Control and Design of Converters for Renewable Energy Sources and Electric Vehicle Applications” to be published by CRC Press [Communicated]

3. Chapter titled “Edge Computing Based Design for IoT Security” book entitled “Network Optimization in Intelligent IoT Applications – Principles and Challenges” to be published by CRC Press, Taylor & Francis [In Press]

4. Mandeep Singh, Megha Gupta, Anupam Sharma, Parita Jain, Puneet Kumar Aggarwal, “Role of Deep Learning in Healthcare Industry: Limitations, Challenges & Future Scope”, published in book title “Deep Learning for Healthcare Services” published by BENTHAM BOOK, UAE, 2023

5. Megha Gupta, Mandeep Singh, Anupam Sharma, Namrata Sukhija, Puneet Kumar Aggarwal, Parita Jain, “Unification of machine learning and blockchain technology in healthcare industry”, Innovations in Healthcare Informatics: From interoperability to data analysis, IET Digital Library, 2023.

6. Anupam Sharma, Mandeep Singh, Megha Gupta, Namrata Sukhija, Puneet Kumar Aggarwal “IoT and Blockchain Technology in 5G Smart Healthcare”, published in book title “Blockchain Applications for Healthcare Informatics: Beyond 5G” published by Elsevier, May 2022.

7. Parita Jain, Puneet Kumar Aggarwal, Poorvi Chaudhary, Kshirja Makar, Jaya Mehta, and Riya Garg, “Convergence of IoT and CPS in Robotics”, Emergence of Cyber Physical Systems and IoT in Smart Automation and Robotics, pp.15-30, Springer, 2021.

8. Puneet Kumar Aggarwal, Parita Jain, Jaya Mehta, Riya Garg, Kshirja Makar, and Poorvi Chaudhary, “Machine Learning, Data Mining and Big Data Analytics for 5G-Enabled IoT”, Blockchain for 5G enabled IoT: the new wave for Industrial Automation, pp. 351-375, Springer, 2021.

9. Parita Jain, Puneet Kumar Aggarwal, Kshirja Makar, Riya Garg, Jaya Mehta, Poorvi Chaudhary, “Machine Learning in Risk Analysis” accepted for the book Applications of Computational Science in Artificial Intelligence to be published by IGI Global.

10. Puneet Kumar Aggarwal, Parita Jain, Poorvi Chaudhary, Riya Garg, Kshirja Makar, Jaya Mehta, “AIoT for Development of Test Standards for Agricultural Technology”, accepted for the book intelligence of Things: AI-IoT Based Critical-Applications and Innovations, Springer, pp.77- 99,2021.

11. M. Singh, N. Sukhija, A. Sharma, M. Gupta, P. K. Aggarwal, "Security and Privacy Requirements for IoMT-Based Smart Healthcare System". Big Data Analysis for Green Computing, 17–37, Taylor & Francis, 2021.

SCHOLASTIC ACHIEVEMENTS

Served as Reviewer in various National/International Conferences and reputed Journals.

Additional Information

I, Puneet Kumar Aggarwal, hereby declare that the information furnished above is correct and true to the best of my knowledge and beliefs.

Timeline

Associate Professor

ABES Engineering College
08.2020 - Current

Assistant Professor

HMR Institute of Technology and Management
10.2012 - 07.2020

B.Tech - Computer Science Engineering

ABES Engineering College
05.2012 - 05.2020

Assistant Professor

BIT
08.2011 - 10.2012

PG Diploma - System And Database Administration

C-DAC
01.2008 - 04.2009

Post-Doc - Computer Science And Engineering

DY Patil University And University of USA
04.2001 - 04.2024

Ph.D. - Information Technology

Amity University
04.2001 - 04.2001

M.Tech - Information Technology

CDAC
04.2001 - 05.2020

Diploma - Electronics & Communication Engineering

MIT, Affiliated From BTE
Dr. Puneet Kumar AggarwalAssociate Professor