Specialized B.Tech Program

B.Tech CSE – Artificial Intelligence & Machine Learning

From model experimentation to real deployment.

Neural networks, deep learning, data-driven systems, and practical AI deployment.

240

Intake

2020

Established

70+

AI Projects / Year

Students attending a technical AI session

Head of Department – CSE – AI & Machine Learning

Head of Department

Dr. A. Swathi

Dr. A. Swathi

Associate Professor & HoD, Department of CSE (AI & ML)

Qualification: B.Tech., M.Tech., Ph.D- Computer Science and Engineering

Experience: 20 years of teaching experience across UG and PG.

Contact:
+91 9666004045
aiml.hod@sreyas.ac.in

Qualifications:

  • Ph.D from Lovely Professional University, Punjab, India.
  • M.Tech, CSE, from JNTU, Hyderabad. (2009-2012)
  • B.Tech in CSE from SEC, Nizamabad, Telangana. (2002-2006).

Experience:

  • 18 years of experience.
  • 18 years of teaching experience for both UG and PG. Taught subjects like Artificial Intelligence, Prolog, C, JAVA, Database Management System, Compiler Design, Data Analysis, Operating System, Computer Organization, etc.

Current Association:

  • Associate Professor& Head of the Department –Computer Science and Engineering, at SREYAS Institute of Engineering and Technology, affiliated to JNTUH.

Research, Projects & Publications

  • Published 70+ papers in National and International Conferences and Journals.
  • Organized & attended Springer Conferences, several Faculty Development Programs (FDPs) / Workshops / Seminars.
  • Reviewer for prestigious journals like MMTA, Journal of Big Data.

Academic Contributions

  • Convener of ICAIDS 2023 and various FDPs on AI & ML.
  • SPOC Coordinator for several hackathons.

Achievements:

  • Delivered Guest lectures / Expert lectures on Machine Learning and Artificial Intelligence in various Engineering colleges across Hyderabad.

Certifications

  • AWS Cloud Practitioner.
  • Coursera Certifications in Neural Networking, Deep Learning, and Python.

Books/Chapters Reviewed:

  • Published book titled “Genomics at the Nexus of AI, Computer Vision, and Machine Learning” in Wiley Publications.
  • Reviewed several chapters from IGI Global, Springer, SCI and Scopus indexed journals and chapters.

Research Areas:

  • Image Processing
  • Machine Learning
  • Artificial Intelligence

Patents:

  • Indian Patent: “Deep Learning Medical Systems” (2022).
  • Australian Patent: “Image Denoising Methods” (2021).

Technical Expertise

  • Programming: Java Full Stack, Python (TensorFlow, NumPy), Prolog, MySQL.
  • Tools: MATLAB, OpenCV, AWS Cloud Practitioner.
  • Specialized in Artificial Intelligence, Machine Learning, and Image Processing.