Research Interest:
  • Information Security, Applied Cryptography, Data Science and Gravitational Waves
Graduated PhD Student:
  • Trupil Limbasiya, BITS, Pilani, K.K. Birla Goa Campus
  • Title: Design of Vehicular Communication Protocols for Secure and Efficient Smart Transportation.
  • Ashu Sharma, BITS, Pilani, K.K. Birla Goa Campus
  • Title: Group-wise Classification Approach to Improve Malware Detection Accuracy.
  • Aruna Govda, BITS, Pilani, K.K. Birla Goa Campus
  • Title: Study in Data Reduction and Multi-Class Classification for Distributed Data.
  • R.K. Roul, BITS, Pilani, K.K. Birla Goa Campus
  • Title: Design and Investigation of Techniques to Improve Information Retrieval on the Web.
Current PhD Students:
  • Mohit Sewak, Security and Compliance Research, Microsoft, Hyderabad
  • Title: Study and design of cognitive system for the detection of advanced malware.
  • Hemant Rathore, BITS, Pilani, K.K. Birla Goa Campus
  • Title: Design of a hybrid system to detect malicious applications of the smart devices.
  • Lokesh Kumar, BITS, Pilani, K.K. Birla Goa Campus
  • Title: Search of Gravitational Waves using Deep Learning Techniques in the Output of Laser Interferometer Gravitational Wave Detector.
  • Akbar Kushanoor, General Electric, Bengaluru
  • Title: Design of an effective computer aided diagnosis systems using deep learning for the detection of melanoma cancer.
  • Ankush Soni, BITS, Pilani, K.K. Birla Goa Campus
  • Title:
PhD Thesis Evaluation:
  • Network Event Based Model to Predict and Detect Insider Intrusion on Enterprise Network, Nisha T. N., Symbiosis Centre for Information Technology, Pune, 2019.
  • Relativistic Studies of Compact Stars, Abdul Aziz, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 2019.
  • Design and Implementation of an Interoperable, Privacy Preserving Framework For Health Records, Rohini R. Roa, Manipal Academy of Higher Education, 2017.
Master Thesis Supervision:
  • Sanjay Sharma
  • Title: Machine Learning Approach to Detect Unknown Malware in Large Scale Data Using Opcodes.
  • Ayushi Goel
  • Title: Classification of Metamorphic Malware Using Machine Learning Techniques.
  • Indrajeet Khandekar
  • Title: Efficient Malware Classification using General Purpose Graphics Processing Unit.
  • Avi Bhargava
  • Title: Classification of Metamorphic Malware Using Data Mining Techniques.
  • B.G.K. Varma
  • Title: Prevention of ARP Spoofing using Cryptographic Techniques.
  • Yogini Prabhu
  • Title: A Study of the Performance of SHA-3 Candidate: BLAKE.
  • Bibin Mathews
  • Title: ARP Spoofing and its prevention using cryptographic techniques.

Undergraduate Thesis Supervision:
  • Ranjit Singh
  • Title: Missing gravitational wave data imputation using LSTM.
  • Ishan Tyagi
  • Title: Reinforcement learning based solution to the stock trading problem.
  • Abhishek Kumar
  • Title: A study of metamorphic malware for the development of anti-malware.
  • Saurabh Khare
  • Title: Study of SHA-3 and its application for the malware detection.
  • Amol Agarwal
  • Title: Static analysis of advanced malware.
  • Kunal Baweja
  • Title: Secutriy for local and cloud storage file systems.
  • Devendra K. Didwaniya
  • Title: Application of Principal Component Analysis for Distributed Data Mining.
  • Siddharth J. Menaria
  • Title: Power spectrum analysis of highly modulated signal.
  • Chiranjeev Singh Rao
  • Title: Matched filter analysis using Fast Fourier Transform.
  • Suneel Kolluri
  • Title: Reduction of Communication cost in Distributed Data Mining.
  • Nishant Varma
  • Title: Study of cross-correlation with Fast Fourier Transform.

Students Projects:
  • Supervised more than 100 PG/UG students for Research Project/ Professional Practice - I & II/ Computer Project/ Study Oriented Project/ Lab Oriented Project / Design Project on the topics viz. Anti-Malware, Cryptography, Network Security, Data Mining, Data Analysis, Gravitational Waves, Scientific Computing.