PROFILE

I am working as an Assistant Professor in the Discipline of Mathematics and Computing, Department of Applied Mathematics, Delhi Technological University. My research interests are broadly in Network Security, Malware Detection on Smartphones, Blockchain and Quantum Computing. I have pursued PhD from the Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, in the area of Mobile Security and Smartphone Malware Detection under the supervision of Dr Sateesh K Peddoju (Professor, Department of Computer Science and Engineering, IIT Roorkee). Previously, I have done my M. Tech in Computer Science and Engineering from IIT Roorkee and B.Tech in Computer Engineering from Kurukshetra.

PREVIOUS POSITIONS/ EXPERIENCE

Experience:

1.    07.09.2018 - 06.09.2022: - Assistant Professor (L-10), Discipline of Mathematics & Computing, Department of Applied Mathematics, DTU.

2.    07.09.2022 - Till Date:-  Assistant Professor (L-11),    Discipline of Mathematics & Computing, Department of Applied Mathematics, DTU. 

 

Administrative Positions:

1. Knowledge Network Manager (KNM), Computer Centre, DTU

2.  Faculty Advisor, E-Cell, DTU

 

TEACHING (COURSES TAUGHT)

2025-26 Odd Semester:

1.  Artificial Intelligence (MC-307n)

2.  Mathematics-I (AM-101)

 

2024-25 Even Semester:

1.  Artificial Intelligence (MC-312)

2.  Mathematics-II (AM-102)

 

2024-25 Odd Semester:

1.  Data Structure (MC-201)

2.  Object Oriented Programming (MC-307)   

3.  Mathematics-I (AM-101)

 

2023-24 Even Semester:

1.  Artificial Intelligence (MC-312)

2.  Computer Organization & Architecture (MC-206)

2.  Mathematics-II (AM-102)

 

2023-24 Odd Semester:

1.  Object Oriented Programming (MC-307)   

2.  Mathematics-I (AM-101)

 

2022-23 Even Semester:

1.  Artificial Intelligence (MC-312)

2.  Computer Organization & Architecture (MC-206)

2.  Mathematics-II (AM-102)

 

2022-23 Odd Semester:

1.  Compiler Design (MC-413)

2.  Object Oriented Programming (MC-307)   

3.  Mathematics-I (AM-101)

 

 

MEMBERSHIPS

IEEE

ACM

PUBLICATIONS

My list of publications can be viewed at my Google Scholar webpage: https://scholar.google.com/citations?user=maW08M8AAAAJ&hl=en&oi=ao

BOOKS/BOOK CHAPTERS (IF ANY)

PATENTS (IF ANY)

HONOURS AND AWARDS (IF ANY)

1.   AIR 228 in GATE (CSE) exam, 2012.

2.   UGC JRF (Computer Science) in 2016.

3.   DTU Premier Research Award.

SPONSORED/CONSULTANCY PROJECTS

START-UPS (IF ANY)

MOOC COURSES DEVELOPED (IF ANY)

PROFESSIONAL DEVELOPMENT

ADVISEES

PhD Dissertations:

  1.  Dr. Yash Sharma (2021-2025): Thesis Title: Design and Development of Malware Detection Models for Android Smartphones.  Currently a Postdoctoral Fellow at IIT Gandhinagar.

  2.  Suruchi Jain: Ongoing   

  3.  Shagun: Ongoing 

  4.  Nandeeshan M : Ongoing 

  5.  Nitesh Yadav:  Ongoing 

  6.  Sourav Walia: Ongoing

  7.  Akhil Kumar: Ongoing

 

Postgraduate Dissertations:

  1. Yash Sharma & Soumya Sharma  (2019-21):  Thesis Title: Applying Statistical Techniques on Traffic Features For Intrusion Detection.

  2. Anjali Mishra & Mahima (2020-22): Thesis Title: Permissions Ranking With Statistical Techniques for Android Malware Detection.

  3. Garima Kumari (2021-23): Thesis Title: Smartphone Malware Detection Using Permissions and McNemar Test.

  4.  Shagun & Deepak Kumar  (2021-23): Thesis Title: Smartphone Malware Detection based on Enhanced Correlation-based Feature Selection on Permissions.

  5. Harshita Gupta & Aman Gautam (2021-23): Thesis Title: Performance Evaluation of Machine Learning Algorithms for Network Intrusion Detection with Features Combination.

  6. Komal: (2022-24): Thesis Title: Intrusion Detection System Using Cohen's D and Wilcoxon Test.

  7. Sakshi:  (2022-24): Thesis Title: Statistical Measures on Traffic Features for Intrusion Detection.

  8. Kunikaa Dwivedi (2023-25): Thesis Title: KWG-RFE: A Tri-Stage Hybrid Feature Reduction Framework for Android Malware Detection.

  9. Sakshi Punia (2023-25): Thesis Title: Optimizing Android Malware Detection via Hybrid Feature Selection: A Study on Z-Test, MIFS & PSO.

  10.  Himanshi (2023-25): Thesis Title: InPermHardroid: Android Malware Detection using Intents, Permissions and Hardware Components.

  11.  Janvi Tyagi and Garvita Agarwal (2023-25): Thesis Title: Android Malware Detection using Gumbel- Attention Feature Selector Network.

  12. Janhvi Gupta and Prachi Raj (2023-25): Thesis Title: Efficient Malware Detection using Incremental learning with SGDClassifier.

 

Undergraduate Projects:

  1. Ashish Gupta, Himanshu Ladia, & Shefali Bansal (2016-20): Project Title: Real-Time Device To Capture Public Activity and Concerns Related To Coronavirus Pandemic.

  2. Abhishek, Aditya Dhiran, & Dinesh Kumar (2016-20): Project Title: Video Fraud Detection Using Blockchain.

  3. Kartik Khariwal, Jatin Singh, & Rishabh Gupta (2017-21): Project Title:  Android Malware Detection Using Ranked Manifest File Components.

  4. Siddhant Gupta, Siddharth Sethi, & Srishti Chaudhary (2017-21): Project Title: Android Malware Detection using Deep Learning and Machine Learning.

  5. Gourav Garg & Ashutosh Sharma (2017-21): Project Title: Detecting Malicious Android Applications Using Ranked Static Features.

  6. Abhinav Sanghi, Aayush, & Ashutosh Katakwar (2017-21): Project Title: Detection of Counterfeit Drugs in Medical Supply Chain Using Blockchain Technology.

  7. Ankur Singh, Deepti Singh, & Kapil Gupta (2017-21): Project Title: Mutual Information Based Feature Ranking Method for Malicious Android Traffic Detection.

  8. Vaani Rawat, Nitin, & Siddhant Rai (2018-22): Project Title: A Blockchain-based Decentralized Framework for Carbon Accounting, Trading and Governance.

  9. Manan Malhotra, Rishab, & Ritik Singh (2018-22): Project Title: Smart Parking System with a Blockchain-Based Architecture.

  10. Atishay Katiyar, Deepanshu Saini, & Dhruv Sangwan (2018-22): Project Title: Android Malware Detection using Static Features on OmniDroid Dataset.

  11. Naman Oberoi, Nishant Sushmakar, & Shivang Gupta (2018-22): Project Title: An Unsupervised-Based Enhanced Anomaly Detection Model Using Feature Importance.

  12. Prerna Giri & Megha (2018-22): Project Title: Cyberbullying Detection using Deep Learning.

  13. Shresth Jain, Sarthak Kapoor, & Sachin Kumar Sharma (2019-23): Project Title: Android Malware Analysis using Coefficient of Multiple Correlation.

  14. Harsh, Ishaan Kamra, &  Jatin Bhatoya (2019-23): Project Title: Malware Detection in Android Smartphones using Manifest File Components.

  15. Samyak Jain, Siddharth Bihani, & Satyam Jaiswal (2019-23): Project Title: Impact of Feature Selection Algorithms on Network Intrusion Detection.

  16. Nikhil Gupta, Pratuesh Anand, & Shailesh (2020-24): Project Title: Android Malware Detection Using Multi-Level Correlation.

  17. Satyam Srivastava, Shashwat Anand,& Tausif Nawaz (2020-24): Project Title: Identifying Malicious Android Apps Based on Permission Requests.

  18. Anshul Aggarwal & Dhruv Rana (2020-24): Project Title: Revolutionizing Healthcare: A Fusion of Blockchain and Machine Learning.

  19. Kamal Kumar, Kartik Gupta, & Rohan Gupta (2020-24): Project Title: Feature Selection in Intrusion Detection using Jaccard's Needham Similarity Algorithm.

  20. Ishan Bhateja, Kanishka Thakran, & Palak Chaturvedi (2020-24): Project Title: Feature Extraction and Ranking Using Fuzzy-KSI for Network Intrusion Detection using a Krill Herd Optimized Neural Network. 

  21. Aditya Harsh (2020-24): Project Title: Securing the Future: Comprehensive Analysis and Best Practices for Enhancing Security in Decentralized Finance (DEFI).

  22. Aditi Garg, Arsh Sharan, & Aryan Garg (2020-24): Project Title : SOC-Llama: Estimation of SOC Using Llama Architecture.

  23. Keshav Gogia, Kunal Bansal & Rakshan Narula (2021-25): Project Title: Comparative Study of Feature Selection Methods for Deep Learning–Based Intrusion Detection in IoT Networks.

  24. Arjun Garg, Ayush Chahar & Dhruv Kejriwal (2021-25): Project Title: Scalable Android Malware Detection via Incremental Learning and Chi-Square Based Feature Reduction.

  25. Aditya Mishra, Akhilesh Sharma & Anish Sinha (2021-25): Project Title: Network Intrusion Detection System Using MST-based Feature Selection Technique and Bi-LSTM Model.

  26. Abhishek Sambharya, Aditya Nirbhay & Anmol Gupta (2021-25): Project Title: Deepfake Detection using Deep Learning Techniques.

  27. Aniket, Aryaman Singla & Aryan Nitinkumar Rajpara (2021-25): Project Title: Feature Selection For Android Malware Detection: A Comparative Study Between Genetic Algorithms and Simulated Annealing.

  28. Alok Kumar Singh, Apurv Vats & Arnav Kishn Kushwaha (2021-25): Project Title: Android Malware Detection using Federated Learning.

  29. Kumar Harsh, Snehil Sharma & Lavanay Ganotra (2021-25): Project Title: ZyEVO: A Zygomycota-Inspired Dual Phase Evolutionary Metaheuristic Algorithm.

  30.  Ishita Sreejeth, Nikhil Chaudhary & Manpreet Kaur (2021-25): Project Title: Fake News Detection using Machine Learning Techniques.

  31.  Monalisa Maity, Priya Chaudhary & Ishita Gupta (2021-25): Project Title: Blockchain-Federated Learning Based Architecture for Android Malware Detection. 

 

ANY OTHER INFORMATION

Expert Lectures / Invited Talks:

  1. Delivered an Expert Lecture on "Network Traffic Analysis to Detect Intrusions in Smartphones" in the Special Training Program on "Cryptology and Information Security" organized by Scientific and Analysis Group, DRDO, Delhi, from July 8-19, 2019.

  2.  Delivered two Expert Lectures on "Android Malware Detection" and "Network Traffic Analysis for Intrusion Detection" in the STTP on "Recent Trends in Security and Cryptography", organized by Delhi Technological University, Delhi, from  November 18-22, 2019.

  3. Delivered two Expert Lectures on "Probability & Stats for Data Science" and "Data Science in Intrusion Detection" in the FDP on "Data Science", organized by Punjab Engineering College, Chandigarh, from May 4-8, 2020.

  4.  Delivered an Expert Lecture on "Mobile Malware Detection" in the FDP on "Cybersecurity and Cryptography", organized by the Indian Institute of Technology Roorkee, from October 7-11, 2020.

  5. Delivered an Expert Lecture on “How to Detect Mobile Malfunctioning” at Gurugram University on December 24, 2021. 

  6.  Delivered an Expert Lecture on "Mobile Forensics" in the Advanced Executive Program on Information Security and Digital Forensics for Chandigarh UT Police, organized by Punjab Engineering College, Chandigarh, from September 22 to November 25, 2023.

  7. Delivered an Expert Lecture on "Optimization Techniques for Cyber Security" in the STTP on Advanced Optimization Techniques for Engineering Applications organized by the National Institute of Technology, Kurukshetra, from December 26-30, 2023.  

  8.  Delivered an Expert Lecture on "Malware Detection" in the ISEA-sponsored Bootcamp on Computer and Network Security Essentials held at NIT Kurukshetra from March 08-13, 2025.