Faculty CSE (AI & ML) - BRIL 
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Abdullapurmet, Hyderabad - 501 505 | Near Ramoji Film City
Brilliant Institute of Engineering and Technology
BRILLIANT INSTITUTE OF ENGINEERING & TECHNOLOGY
UGC AUTONOMOUS INSTITUTION
Accredited by NAAC with "A" Grade  |  Approved by AICTE  |  Affiliated to JNTU-H
Abdullapur (V), Abdullapurmet (M), Rangareddy (D), Hyderabad - 501 513
BRILLIANT INSTITUTE OF ENGINEERING & TECHNOLOGY
UGC AUTONOMOUS INSTITUTION
Accredited by NAAC with "A" Grade  |  Approved by AICTE  |  Affiliated to JNTU-H
Abdullapur (V), Abdullapurmet (M), Rangareddy (D), Hyderabad - 501 513
EAPCET / ECET / POLYCET / PGECET / ICET Code: BRIL
18 Years
AICTE
JNTU-H
UGC
NAAC A Grade
NIRF
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Faculty

CSE (AI & ML)

The Department of CSE (Artificial Intelligence & Machine Learning) is supported by a team of highly qualified, experienced, and dedicated faculty members with strong academic credentials and industry exposure in artificial intelligence, machine learning, and intelligent systems.

The department has well-qualified faculty with M.Tech and Ph.D degrees from reputed universities, actively involved in research, publications, and industry collaborations in AI, machine learning, and deep learning technologies.
S.No. Name of the Faculty Qualification Designation
1 Amarnatha Reddy Enumula M.Tech Head of Department
2 Lella Srinu M.Tech Assistant Professor
3 Kommu Suresh M.Tech Assistant Professor
4 Konnatham Arun Kumar M.Tech Assistant Professor
5 Shivaprasad Goud Dagada M.Tech Assistant Professor
6 Gugulothu Veeranna M.Tech Assistant Professor
7 Sangeeta Prusty M.Tech Assistant Professor
8 Yanala Madhuri M.Tech Assistant Professor
9 Kanamarlapudi Mahesh M.Tech Assistant Professor
10 Kalluru Sitarami Reddy M.Tech Assistant Professor
Faculty Highlights
  • Faculty with M.Tech and Ph.D qualifications from reputed universities
  • Average teaching experience of over 6 years
  • Active researchers with publications in SCI and Scopus indexed journals
  • Participants in FDPs, workshops, and NPTEL certifications
  • Industry experience in AI, ML, and data-driven technologies
Research & Expertise Areas
  • Artificial Intelligence & Expert Systems
  • Machine Learning & Deep Learning
  • Computer Vision & Image Recognition
  • Natural Language Processing & Chatbots
  • Reinforcement Learning & Robotics
  • AI in Healthcare, Agriculture & Smart Systems

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