B S A S Rajita
Supervisor Name: Prof. Anand Narasimhamurthy
Co-Supervisor Name:
Email ID: p2015409@hyderabad.bits-pilani.ac.in
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.
Avinash kumar
Supervisor Name: Dr. Aruna Malapati
Co-Supervisor Name: Dr.N.L.Bhanu Murthy
Email ID: avinash.akumar@gmail.com ; p2015507@hyderabad.bits-pilani.ac.in
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.
Gourish Goudar
Supervisor Name: Dr. Suvadip Batabyal
Co-Supervisor Name:
Email ID: gourish.bits@gmail.com
Research Topic: Estimators for Efficient Buffer Management in Mobile Opportunistic Networks.
Abstract of the Research: Most of the congestion control mechanisms that have been proposed, have a common goal of increasing the message delivery ratio and decreasing the message delivery delay. To achieve this goal, several congestion mechanisms employ dropping the message or try to transfer the message to other nodes. Existing research shows that the several congestion control mechanisms are dependent on the underlying routing protocol. As a result, the congestion control mechanisms are not interoperable with variety of routing protocols. Many existing congestion control mechanisms relies completely on the network information to make the congestion control decisions. Several congestion control algorithms depend on the simulation platforms to evaluate protocols and algorithms, which is a necessary step, but cannot replace the real world experiments. In our work, we aim to use controlled message replication policies to increase the congestion control strategy range to various routing protocols. We also intend to use local information available with the node along with global network information to make a congestion control decision. We will also setup a DTN testbed for our research to verify the results produced by the simulator.
Soumya Prakash Otta
Supervisor: Dr Subhrakanta Panda
Co-Supervisor: Prof Chittaranjan Hota
Email ID: p2016300@hyderabad.bits-pilani.ac.in
Research Topic: Security as a Service: Secured Authentication in a Hybrid Cloud Environment.
Abstract of the Research: As the first and last line of defence in almost all cases, authentication is a crucial aspect of any cloud. With the desired authentication mechanisms in place, any unauthorised access to the system can be prevented. Through the research the effort would be to design and implement Security as a service by ensuring and maintaining confidentiality, integrity and availability as well as strict policy based authentication to access control in a hybrid cloud environment.
Anirudh Kasturi
Supervisor Name: Prof Chittaranjan Hota
Co-Supervisor Name: Prof. N.L. Bhanu Murthy
Email ID : anirudh.kasturi@gmail.com
Research Topic: Distributed and Resilient Cognitive Framework for Edge-centric IOT Applications
Abstract of the Research: Major drawback with the current frameworks revolving around IoT architectures is the increase in actuation time as the analysis of data happens on a central server. So there is a strong need to come up with truly scalable architectures and improved intelligent algorithms that can run on the edge devices. The focus of the research will primarily be on the distributed ML and process discovery resource-aware ML algorithms.
Tummalapalli Sahithi
Supervisor: Dr Lov Kumar
Co-Supervisor: Prof N L Bhanu Murthy
Email ID: p20170433@hyderabad.bits-pilani.ac.in
Research Topic: Detection of web service anti-patterns using machine learning algorithms
Abstract of the Research: The objective of our research is to identify different types of anti-patterns by investigating source code, WSDL file and text based metrics. In particular, our motivation is to investigate the application of machine learning based techniques for building predictive models from source code metrics as features for the task of detecting web-services anti-patterns.
Saibharath S
External Supervisor: Dr Sudeepta Mishra
On campus Supervisor: Prof. Chittaranjan Hota
Email ID: p20170100@hyderabad.bits-pilani.ac.in
Research Topic: QoS Based Traffic Management through NFV in Next Gen Networks
Research Abstract: Design traffic categorization and classification framework to label and segregate LTE and 5G traffic based on QoS attributes; Propose a novel traffic scheduling, resource allocation, load balancing, and offloading mechanism at RAN slices to meet necessary QoS; Joint admission control policies and forecasting through feedback in the Network slices.
Priyanka Rushikesh Chaudhary
Supervisor: Dr. Rajib Ranjan Maiti
Co-Supervisor :
Email ID : p20180421@hyderabad.bits-pilani.ac.in
Research Topic: Detection and mitigation of cyber attacks on IoT using machine learning.
Abstract of the Research: The Internet of Things (IoT) is the next wave of advancement that is revolutionizing our society, cities and homes. People use these smart devices creating smart environments unaware whether each IoT device is functioning properly safe from cyber-attacks. The communication networks are jeopardized by growing of intrusion attempts, various attacks, worms etc. Appropriate countermeasures initiates an important property for network privacy and security in terms of ongoing attack detection. Machine learning is one of the technique which empowers system with the capability of using data to learn from previous experiences and makes decisions. The research topic aims to identify and reduce security threats over iot devices with the help of machine learning technique to improve the performance of system.
Mandan Naresh
Supervisor: Dr. Paresh Saxena
Co-Supervisor: Dr Manik Gupta
Email ID: p20180420@hyderabad.bits-pilani.ac.in
Research Topic: NANCY: Neural Adaptive Network Coding methodology for video distribution through wireless networks.
S.Vishwanath Reddy
Supervisor Name: Dr. B Manjanna
Co-Supervisor Name:
Email ID: p20190420@hyderabad.bits-pilani.ac.in
Research Topic: Computational Geometry and Approximation Algorithms.
Pattiwar Shravan Kumar
Supervisor Name: Dr. Paresh Saxena
Co-Supervisor Name:
Email Id: p20190019@hyderabad.bits-pilani.ac.in
Research Topic: Multipath Networking Protocols
Mithun Kumar S R
Supervisor: Dr Lov Kumar
Co-Supervisor:
Email ID: p20190503@hyderabad.bits-pilani.ac.in
Research Topic: Perception algorithms in sparsely labelled datasets
Deepa Kumari
Supervisor Name: Dr. Subhrakanta Panda
Co-Supervisor Name: Dr. Jabez J Christopher
Email id: p20190020@hyderabad.bits-pilani.ac.in
Research Topic: A Blockchain- based patient centric MHR system for prediction of future medical complications.
Research Abstract: The project proposal aims to develop a patient-centric blockchain-based framework to store data and keep a trail of the users’ action to avoid any fabrication and/or misuse of sensitive and private medical information, and to predict the onset of any medical complications due to certain treatment. The application of Social Network Analysis methodologies on the relational medical data (relationship between certain diseases and their corresponding drugs) will enable to discover the hidden patterns and will also help to build an individualized patient profile to predict the likelihood of any medical complications in near future.
Nida Fatima
Supervisor Name: Dr. Paresh Saxena
Email ID: p20190504@hyderabad.bits-pilani.ac.in
Research Topic: Efficient routing and resource allocation techniques for future integrated hybrid satellite-terrestrial 5G/B5G networks.
Ramisetty Kavya
Supervisor Name: Dr Jabez Christopher
Co-Supervisor Name: Dr Subhrakanta Panda
Email id: p20190057@hyderabad.bits-pilani.ac.in
Research Topic: Decision Support Systems for Health Informatics
Chillara Anil Kumar
Supervisor Name: Dr. Paresh Saxena
Co-Supervisor Name: Dr. Manik Gupta & Dr. Rajib Maiti
Email id: p20190422@hyderabad.bits-pilani.ac.in
Research topic : performance enhancements in Multi core architecture .
Research Abstract: Considering the volume of data and the complexities involved in computations, majority of the bottlenecks in the context of performance/processing in multicore architectures is due to the data movement in the NoC. Research topic aims at considering suitable hardware/software architecture to minimize the data movement in NoC to increase the overall performance of the system.
Priyanka Gupta
Supervisor Name: Dr. Subhrakanta Panda
Co Supervisor name :
Email ID: p20190501@hyderabad.bits-pilani.ac.in
Research Topic: Application of Machine Learning
Lalitha Chavali
Supervisor Name: Dr. Paresh Saxena
Email ID : p20190423@hyderabad.bits-pilani.ac.in
Research Domain: Machine Learning techniques for non terrestrial networking and communications.
Anand Agrawal
Supervisor Name: Dr. Rajib Ranjan Maiti
Co-Supervisor Name:
E-mail ID: p20200434@hyderabad.bits-pilani.ac.in
Research Topic: Cyber Espionage in the Internet of Things
Research Abstract: The objectives of the research is to explore the vulnerabilities of the MAC layer and PHY layer security protocols, like WPA2 (and newly proposed WAP3), in Wi-Fi network and their impact on IoT devices. Configuration of different security protocols on commercially available Wi-Fi routers and exploring the impact on the security association of the IoT devices. The ultimate goal of this research work is to develop a model of IoT-aware router that can automatically white/black-list the IoT devices associated with it depending on the security vulnerabilities.
Simran Ketha
Supervisor Name: Dr. Venkatakrishnan Ramaswamy
Email ID: p20200021@hyderabad.bits-pilani.ac.in
Research Topic: Understanding Deep Neural Networks
S Rasagna Vakkalanka
Supervisor Name: Prof. G Geethakumari
Email ID: p20200019@hyderabad.bits-pilani.ac.in
Research Topic: Securing the Fog Computing Networks