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Academics

Integrated First Degree

B.E.(Biotechnology)
B.E.(Chemical)
B.E.(Civil)
B.E.(Computer Science)
B.E.(Electrical and Electronics)
B.E.(Electronics and Communication)
B.E.(Electronics and Instrumentation)
B.E.(Manufacturing Engineering)
B.E.(Mechanical)
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B.E. (Mathematics and Computing)

Higher Degree

MBA (Master of Business Administration in Business Analytics)
MBA (Master of Business Administration)
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MBA (Master of Business Administration)
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M.E.(Biotechnology)
M.E.(Chemical)
M.E.(Civil with specialization in Infrastructure Engineering and Management)
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M.E.(Communication Engineering)
M.E.(Computer Science)
M.E.(Design Engineering)
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M.E.(Manufacturing Systems Engineering)
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M.E.(Microelectronics)
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M.E.(Software Systems)
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MBA(Master of Business Administration In Business Analytics)

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Dr. J. Angel Arul Jothi

dubai Computer Science

Assistant Professor, Department of Computer Science

Data Mining, Deep Learning, Image Processing, Machine Learning, Medical Image Analysis, Metagenomics
BITS Pilani, Dubai Campus. Dubai International Academic City P. O. Box No. - 345055, Dubai, UAE
angeljothi@dubai.bits-pilani.ac.in
+971 42753732 (158) (Desk)

Research

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:

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

PG Dissertation guidance:

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

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