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Dr. Munipala Ramesh


Assistant Professor

Specialization: STME

Qualification : Ph.D. (Computer Science & Engineering), NIT Goa




 

 

 

 

Educational Qualifications

  • Ph.D. in Computer Science & Engineering
    National Institute of Technology (NIT) Goa, India
  • M.Tech in Software Engineering
    JNTU Hyderabad (Autonomous), Telangana, India
  • B.Tech in Computer Science & Engineering
    JNTU Kakinada (Autonomous), Andhra Pradesh, India

Experience

  • Assistant Professor
    GITAM (Deemed to be University), Hyderabad, India
    22 April 2024 – 24 November 2024
  • IT Analyst
    Tata Consultancy Services (TCS), Hyderabad, India
    12+ years of industry experience

Professional Background

Dr. Ramesh Munipala brings over 14 years of combined experience in academia and industry, specializing in Computer Science & Engineering. He spent 13 years at Tata Consultancy Services (TCS), contributing as a developer, technical expert, and team lead, earning recognition for his leadership and performance. His academic and research contributions include publications in reputed international journals, authorship of a technical book, and a strong portfolio of patents demonstrating innovation and problem-solving excellence. He is certified in leading cloud technologies and has expertise spanning Machine Learning, Brain–Computer Interfaces (BCI), Soft Computing, and Fuzzy Logic.

Key Highlights

  • 14+ years of experience in teaching and industry in Computer Science & Engineering
  • 12 years of industry experience at Tata Consultancy Services (TCS)
  • Awarded Best Team Lead (2019–20) at TCS
  • Received the TCS Team’s Best Employee Award
  • Published 10+ papers in national and international journals, including Q1 publications and transaction
  • Authored 1 book
  • Holds 1 South African patent and 10 design patents
  • Achieved All India Rank (AIR) 3127 in GATE 2009
  • Certified Microsoft Azure Data Scientist Associate
  • Research interests: Brain–Computer Interfaces (BCI), Machine Learning, Soft Computing, Fuzzy Logic
                   
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