BITS Pilani

  • Page last updated on Thursday, September 07, 2017


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Research Areas of the Faculty

Distributed Systems and Information Security

This research group addresses issues in supporting emerging network infrastructures, with particular focus on wireless mobile ad-hoc networks, sensor networks, peer-to-peer overlays, grid and cloud computing. Research is centered around the design and analysis of networking protocols and algorithms to support efficient and reliable communication. The groups research focuses on application of graph algorithms to improve the lookup efficiency in P2P overlays, assessing the impact of P2P traffic on IDS/IPS designs, energy-aware routing algorithms for wireless sensor networks, adaptive load distribution algorithms, distributed mutual exclusion over MANETs. The group also works in grid computing security and access control modeling, wherein the focus is about modeling authorization frameworks for single domain and multi-domain grid environments. Ranking based cross domain role mapping algorithms are used in multi-domain grid systems. Cloud computing research of this group proposes solutions for access control, trust based generic security framework, and cloud forensics. In cloud forensics, the researchers have proposed ideas for regenerating events using system snapshots for forensic analysis.

Faculty: Prof. Chittaranjan Hota, Dr. G Geethakumari, Abhishek Thakur, Gokul Kannan

Data Management

In a sensor network, sensor nodes monitor and collect physical data without any human intervention for weeks or months. A node should consume less power for the above said operations for keeping the battery life longer. Sensor deployments must be energy efficient, and hence energy efficient data management strategies are necessary. This group is working on issues like efficient data storage, caching, and query techniques for sensory data. This group also works on data dissemination, and management in Information systems.

Faculty: Dr Gururaj R 

Software Engineering


This research group focuses on enhancing software quality and productivity by applying data mining algorithms to various software engineering tasks. As the IT industry is getting matured there is so much of data representing experience and knowledge of systems that is available with the providers and this group addresses several challenges posed during the mining of software engineering data. Secondly, the group also focuses on the implementation challenges of cloud computing in particular SaaS (Software as a Service) model. The main challenges in SaaS are design and development, revenue models, sales and compensation, customer service, support and maintenance and the group is working on generic products that take care of licensing and billing of all services offered by a SaaS provider.


Faculty: Dr. N.L.Bhanu Murthy 


Artificial Intelligence

This research group focuses on three main areas of research: Artificial Intelligence, and data mining. This group uses Data Mining and AI techniques to solve and create innovative and efficient solutions to complex problems like Smart playlist generation, Web Index Advertising Engine and Design and implementation of focused crawler for searching collaborators. In the playlist generation we attempt to suggest similar songs based on the seed songs selected by the user. Hybrid filtering techniques are used for finding similarity between the seed songs and the songs in the training set. In Web Index Advertising research, the group examines behavioural/contextual data of online consumers (who surf web pages) and also works on publishing more relevant advertisements efficiently improving user satisfaction over just in time, place and need parameters.

Faculty: Dr Aruna M, S.S Samant

Computer Graphics

The primary area of research of this group is in computer graphics, computational geometry and its applications in solving different scientific and engineering problems.  One of the focus areas of work is mesh generation which spans variety of problem domains starting from CAD Model meshing to fluid flow simulation. In particular Delaunay based methods for mesh generation are deeply studied, along with their scalability issues and the quality of results obtained in actual simulation process. Problems such as mesh modification and optimization are also researched. Along with mesh generation, geometric reconstruction of boundary representation and their applicability for solving different scientific problem such as 3D surface reconstruction from different kind of volume data is also researched.

Dr Tathagata Ray


  • "Lightweight Code Self-verification for Internet of Things (IoT) Devices", funded by DeitY-NWO-Progress-Irdeto under Indo-Dutch Joint Research programme for ICT, July 2015 (2015-2019), 380, 000 Euros (INR 2.6 Crores). Principal Investigators: Prof. Herbert Bos (Vrije University, Amsterdam), Prof. Chittaranjan Hota (BITS-Hyderabad), Prof. Spyros Voulgaris (VU, Amsterdam), Prof. Cristiano Giuffrida (VU, Amsterdam). Industrial Partners: Mr. Ramesh Loganathan (Progress software, Hyderabad), Dr. Jeroen Doumen (Irdeto, Hoofddorp, NL). 
  • "Design and Development of Digital Forensic Tools for Cloud IaaS", Grant amount: Rs 55 lakhs, funded by Department of Information Technology (DIT), Ministry of Communication & Information Technology, Govt. of India, New Delhi, 2013. (Chief Investigator: Dr. G Geethakumari, Co-Investigator: Mr. Digambar Powar)
  • "Identity and Access Management Solutions for Health Care Cloud Systems", Grant amount: Rs 2 lakhs, funded by the Research Initiation Grant, BITS Pilani, Hyderabad Campus, 2012.
  • Efficient Peer-to-Peer Overlay Infrastructure for Secure Computing over the Internet", Funded by University Grants Commission (UGC), Govt. of India, New Delhi: (2011-2014), 10.38 Lakhs INR (PI: C.R. Hota).
  • "Automated Detection of Security and Privacy Threats in Peer-to-Peer Networks", 61.95 Lakhs INR, Funded by Department of Information Technology, Ministry of Communication & Information Technology, Govt. of India, New Delhi in 2012 (PI: C.R. Hota, Co-PI: Abhishek Thakur). 

Research Scholars

Name: Sai Kiranmai G
Supervisor Name: Dr Aruna M
Co-Supervisor Name: Dr. N.L. Bhanu Murthy
Email ID :,
Research Topic : Named Entity Recognition and Classification for Telugu Language
Research Abstract : Named Entity Recognition (NER) aims to classify each word of a document into predefined target Named Entity (NE) classes and is now-a-days considered to be fundamental for many Natural Language Processing (NLP) tasks such as Information Retrieval, Machine Translation, Information Extraction, Question Answering systems and others. For English a lot of work has already done in field of NER, where capitalization is a major clue for rules, whereas Indian Languages do not have such feature. This makes the task difficult for Indian languages especially Telugu Language as it is highly inflectional and agglutinative in nature. The NER system makes use of the different contextual information of the words along with the variety of features that are helpful in predicting the different NE's classes, such as Person name, Location name, Organization name, monetary expressions, dates, numerical expressions etc.
Name: Muthukumaran Kasinathan
Supervisor: Dr. N L Bhanu Murthy
Co-Supervisor: Dr Aruna Malapati
Email ID:
Research Topic: Design and implementation of a generic bug prediction model 
Research Abstract: Software industry continues to have a goal of rapid, reliable, low-risk delivery of high-quality software in evolutionary fashion. This Continuously evolving nature of software projects and the critical resources like time and manpower being finite resources, the bug prediction has generated wide spread interest among researchers. Bug prediction will not only enhance the productivity and quality but will make the development and maintenance environment more proactive. Thus, our work is focused on devising a novel algorithm(s) that correlates the software metrics like source code metrics, change metrics of codebases and bug reports to build resilient bug prediction model.
Name: Neha Singh
Supervisor Name: Dr. Tathagata Ray
Co Supervisor name : 
Email ID:;  
Research Topic: Mesh Generation
Research Abstract: Mesh Generation is an interesting problem in computational geometry which originates from the field of civil and mechanical engineering. It is the discretization of a given domain into simpler elements such as triangle or quadrilateral in two dimensions and tetrahedron and hexes in three dimensions. In this research, we will generate quality meshes from two-dimensional and three-dimensional point sets. We will use Delaunay Triangulational for generating meshes.
Name: Deevi Radha Rani    
Supervisor Name: Dr G Geethakumari
Co Supervisor name: 
Email ID:
Research Topic: Design of a Cloud Forensic VM Level Framework for Infrastructure-as-a-Service Model
Research Abstract: Cloud computing is radically changing the way information technology services are created, delivered, accessed and managed.The current operational landscape of incident handling and forensic methods have changed with the evolution of cloud computing. To date, there has been very little research done on the current state of the tools, processes, and methodologies to obtain legally defensible digital evidence in the cloud. The main objectives of our research are i) To investigate the forensic challenges in the cloud computing environment ii) To design a forensic framework to facilitate virtual machine level investigation for the cloud Infrastructure-as-a-Service model
Name: BKSP Kumar Raju Alluri
Supervisor Name: Dr. G Geethakumari
Email id:
Research Topic: Integrating Digital Forensic Capabilities in Cloud for Incident Handling
Research Abstract: The likelihood of attacks and security breaches occurring in cloud is very high which underlines the need for digital forensic investigation in IaaS based Cloud environment. Performing forensics in cloud is challenging and even different from traditional digital forensics because of cloud virtualization, elasticity, multi-tenancy, trust and legal issues and physical inaccessibility. Our work focuses on resolving these challenges and applying digital forensic science in Infrastructure as a Service (IaaS) delivery model.
Name: Rajesh Kumar Shrivastava
Supervisor Name: Dr. Chittaranjan Hota
Co-Supervisor Name: 
Email ID:
Research Topic: Code Tamper-Proofing Using Return Oriented Programming on IoT Devices
Research Abstract: The Internet-of-Things presents fascinating opportunities through the massive deployment of miniature devices in the physical world. Shielding these devices from unauthorized modifications is of paramount significance to their unobstructed operation. This research aims at developing novel fundamental knowledge and at applying it to build tools that ensure IoT devices cannot be tampered with, as well as at turning offensive intrusion techniques into defensive weapons.
Name: Sanket Mishra
Supervisor Name: Prof. Chittaranjan Hota 
Co-Supervisor Name: NA 
Email ID:
Research Topic:  Resilient and Cogniitive IoT Framework for Smart Buildings
Research Abstract: Internet of Things has seen a tremendous uprising in the recent era. This boom engulfs the sectors of home automation,energy,transport,buildings, etc. to name a few. It brings forth the possibility to handle them with intelligence and devise algorithms so as to substantiate their autonomous working. This research deals in devising new algorithms to predict actuations in real world from sensor data and unlocking new horizons in event processing. Also the need arises to secure the IoT scenario by safety mechanisms for which algorithms are created to insulate them from any type of adversities that might hamper their smooth predictions and functionalities. 
Name:   B S A S Rajita
Supervisor Name: Prof. Anand Narasimhamurthy
Co-Supervisor Name: -
Email ID:
Research Topic: Analysis of Temporally Evolving Social Network Patterns
Research Abstract: In this work, we propose to investigate different techniques for identifying temporal patterns and events in social networks that evolve over time. We present a framework for detecting the evolution of dynamic social communities, along with tracking the events and transitions related to communities. These events can be considered as building blocks for pattern detection in networks with evolving communities. These detected events and transitions could then be used for predicting the future patterns of these social networks.
Name:  Rashmi Sahay
Supervisor Name:  Dr. G Geethakumari
Co-Supervisor Name:  Dr. Barsha Mitra
Email ID:
Research Topic:  Securing the Internet of Things Environment against RPL (Routing Protocol for Low power and Lossy Network) Attacks

Research Abstract: Internet of Things (IoT) is network of uniquely identified devices that have the ability to talk to each other without requiring human intervention. IoT devices are constrained which makes it difficult to implement complex security solutions on them. The communication is wireless, which also makes it susceptible to attacks. Also, the devices are mostly placed in locations which cannot be frequently accessed. These characteristics of IoT make it vulnerable to breaches in privacy and security. An effective way to prevent attacks is to have secured bootstrapping. Secure bootstrapping in IoT involves design of light weight cryptographic algorithms. RPL is the Routing protocol used in LLNs in IoT, which is vulnerable to several security attacks. Hence, it is important for an IoT network to have a holistic system to address the RPL attacks. The research topic aims to develop such a system, which can identify the RPL attacks, take action to counter it and also design secure bootstrapping algorithms for authentication of new nodes joining the IoT network.
Supervisor Name:  Dr. Suvadip Batabyal
Co-Supervisor Name: 
Email ID:
Research Area: Congestion Control in Delay Tolerant Netwroks
Name: Poonam Agarwal                      
Supervisor Name: Dr Barsha Mitra
Co-Supervisor Name: ------------------
Email ID:
Research Area: Security In Healthcare Data Records
Name: P V Sandeep
Supervisor Name: Dr. Subhrakanta Panda
Co-Supervisor Name:  -
Email ID:;
Research Area: Security Testing 
Name: Avinash kumar 
Supervisor Name: Dr. Aruna Malapati 
Co-Supervisor Name: Dr.N.L.Bhanu Murthy
Email ID:  ; 
Research Topic: Opinion Mining Challenges of Social Media Content & Sentiment Polarity Detection.
Research Abstract: Experiences and viewpoint expressed by others have always been important part of decision making process. In current era very large pool of public opinion is available on social media about certain event. These web contents are unstructured data set and a rich source for not only commercial exploitation but also for psychological & sociopolitical research. Our proposed research aims to find an efficient method to extract important features/ aspect about a particular event from social media message and then do the features based sentiment analysis about the same. The proposed method can be adapted to work for text from other online media as well. 

Ph.D. Qualifying Examination


1. Prof. Chittaranjan Hota has been elevated to the grade of IEEE senior member from August 2017. The department of CSIS, BITS Hyderabad congratulates him for this success. 
2. Dept. welcomes Ms. Neha Bharill who comes with PhD experience from IIT, Indore. She specializes in Bigdata classification. 
3. Sanket Mishra, research scholar of the department receives TCS PhD fellowship. He works in the area of Internet of Things. 
4. Dr. Harsha Vardhan Simhadri from Microsoft Research, Bangalore (MSR) visited the department and delivered research talks to students and faculty. He also discussed possible ways of collaborations between MSR and the department.




Computer Sc. & Information Systems Dept.

Sponsored Projects (Ongoing)

1. "Lightweight Code Self-verification for Internet of Things (IoT) Devices", under Indo-Dutch Joint Research Program for ICT funded by DeitY-NWO-Progress-Irdeto with a project outlay of 380, 000 Euros (INR 2.6 Crores) from July, 2015 to July, 2019. (Investigators : Prof. Chittaranjan Hota and Researchers from Vrije University, Amsterdam).
2. "Design and Development of Digital Forensic Tools for Cloud IaaS", Grant amount: Rs 55 lakhs, funded by Department of Information Technology (DIT), Ministry of Communication & Information Technology, Govt. of India, New Delhi, 2013. (Chief Investigator: Dr. G Geethakumari, Co-Investigator: Mr. Digambar Powar).

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