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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)
B.Pharm.(Pharmacy)
M.Sc.(Biological Sciences)
M.Sc.(Chemistry)
M.Sc.(Economics)
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M.Sc.(Physics)
B.E. (Mathematics and Computing)

Higher Degree

MBA (Master of Business Administration in Business Analytics)
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M.E.(Electrical with specialization in Power Electronics and Drives)
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M.E. (Mechanical with specialization in Thermal Engineering)
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M.E. M.Pharm
M.E.(Biotechnology)
M.E.(Chemical)
M.E.(Civil with specialization in Infrastructure Engineering and Management)
M.E.(Civil with specialization in Structural Engineering)
M.E.(Civil with specialization in Transportation Engineering)
M.E.(Communication Engineering)
M.E.(Computer Science)
M.E.(Design Engineering)
M.E.(Embedded Systems)
M.E.(Manufacturing Systems Engineering)
M.E.(Mechanical)
M.E.(Microelectronics)
M.E.(Sanitation Science, Technology and Management)
M.E.(Software Systems)
M.Pharm.(Pharmaceutical Chemistry)
M.Pharm.(Pharmaceutics)
M.Pharm.(Pharmacology)
M.Pharm.(Pharmacy)
M.Sc. General Studies – Communication and Media Studies Stream
Master in Public Health
MBA(Master of Business Administration In Business Analytics)

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Dr. Jabez Christopher    

hyderabad Computer Science & Information Systems

Assistant Professor
Dept. of Computer Science and Information Systems

Artificial Intelligence and Expert Systems, Decision Theory, Fuzzy Logic and evolutionary algorithms, Swarm intelligence
Birla Institute of Technology & Science, Pilani
Hyderabad Campus
Jawahar Nagar, Kapra Mandal
Dist.-Medchal-500 078
Telangana, India
jabezc@hyderabad.bits-pilani.ac.in
+91 40 66303569
https://in.linkedin.com/in/jabez-christopher-7a418724

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Research Scholars

Dr Ramisetty Kavya

kavya2

Decision Support Systems for Health Informatics

2019-2023

Kavya's research works intend to analyse and model the cognitive aspects of decision-makers during decision-making under uncertainty. It also includes studies on different uncertainty theories, descriptive decision-making models and decision theories . She is currently a Staff Engineer at Western Digital.

Deepakumari

Deepa-Kumari-5

A Computational Study on Cancer Detection and its Prognosis

Thesis Submitted

Deepa's research primarily aims to design and develop a patient-centric blockchain-based framework to store data and keep a trail of the users’ action to avoid any fabrication and misuse of medical information. She also focusses on conceptual frameworks that are expected to come up with the integration of gamification, anthropomorphism, and Blockchain applications into the transitional healthcare system

Master's Degree Students

Avantika Kala

Kala's work along with Kavya fosusses on developing decision support system based on DS theory ; it can adapt the concept shift and can also provide evidential reasoning and explainable knowledge, for diagnosing clinical disorders. Read More...  

Kanika & Megha Gupta

Kanika and Megha's research focuses on improving how computers recognize human emotions from facial expressions using fuzzy logic. Fuzzy logic helps handle uncertainty and vagueness, making it ideal for this task. The study tests different shapes and numbers of fuzzy sets to see which best predicts emotions like happiness and anger. The outcomes of their work can help engineers design more effective emotion recognition systems, benefiting applications like human-computer interaction and mental health monitoring.  Read More...

Bachelor's Degree Students

Akshat Singh

Akshat's work focusses on Knowledge-based systems developed using Dempster–Shafer theory and prospect theory to enhance decision-making under uncertainty. He conducted a thorough analysis using ten publicly available benchmark datasets, comparing the performance of the proposed system with traditional machine learning models and other decision-making systems in literature.  Read More...

Vibha Narendra

Vibha's work focusses on enhancing diet recommender systems.  It uses a swarm intelligence based approach to generate alternate food recommendations that the user wishes to substitute in their diet, ensuring that their nutritional requirements are met, and their behaviour in selecting food displays an upward trend. The system can be used by clinicians, dieticians, and also general users.  Read More...

Pranavi Gunda & Mohan Teja

Pranavi & Mohan's work intends to improve the performance of facial emotion recognition systems; it does feature subset selection using swarm intelligence based bio-inspired algorithms, and classifies emotions using supervised learning models such as Random forests and k-NN. Classification is based on the fusion of features from three regions - entire face, mouth and eyes  Read More...

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