Research Group - BITS Pilani

Dr. J. Angel Arul Jothi

Assistant Professor, Department of Computer Science

Image Processing, Machine Learning, Data Mining, Deep Learning, Medical Image Analysis, Metagenomics

BITS Pilani, Dubai Campus. Dubai International Academic City P. O. Box No. - 345055, Dubai, UAE

Ph.D guidance:

S.No	Student Name	Role	Proposed Topic of Research	Status
1.	Ram Krishn Mishra (2018PHXF0010U)	Co-supervisor	Design and Development of Tourism Expert System Using Machine Learning Techniques	Completed
2.	Ms. Anusree (2018PHXF0904U)	Supervisor	Medical Image Analysis Using Machine Learning	Ongoing
3.	Ms. Syama (2019PHXF0011U)	Supervisor	Omics Data Analysis using Machine Learning algorithms.	Ongoing
4.	Ms. Anjana (2019PHXF0005U)	Co-supervisor	Artificial Intelligence based anomaly precursor detection on multi-variate time-series data	Ongoing

UG Thesis guidance:

Rohith Beriwal (2015A7TS0302U), Analysis of Quantum circuits with faulty gates
Vijaya (2016A7TS0062U), Convolutional autoencoders for segmentation and classification of histopathology images: an experimental study
Aakansha Mathur (2016A7TS0024U), Analyzing YELP reviews of restaurants in the USA
Parth Poply (2016A7TS0249U), Food calorie estimation using deep learning
Hrishikesh Sabins (2017A4TS0023U), Image based material classification
Varun Khanna (2018A7TS0049), Image captioning using EfficientNetV2 Transformers
Radhika Singh (2018A7TS0155U), Sentiment Analysis of Bitcoin tweets during Covid
Lakshmi Thampachen (2018A7TS0004U), Image steganography using deep learning
Bilal Khan (2017A7TS0320U), Deep Learning based medical image Analysis
Nandini Sitlani (2019A7TS0022U), Real time object detection from natural images
Krishen Jagani (2020A7TS0238), Brain tumor segmentation from MRI images using Deep Learning

PG Dissertation guidance:

Abirami Adaikkalavan (2017H1120002U), Securing Stock Exchange Transaction on BlockChain Platform
Gavuji Rohith (2018H1120913U), Analyzing consumer complaints using machine learning and deep learning
Lisha G (2020H1120008U), Robotic Process Automation on Business Processes

Integrated first degree