Dr. LAVANYA PAMULAPARTY
Professor
B.E(CSE), M.TECH(SE), PHD(CSE)
Artificial Intelligence & Data Science Engineering
Bachelor of Engineering in Artificial Intelligence and Data Science is a 4-year undergraduate degree program, which is offered under the Engineering stream. Artificial Intelligence and Data Science programs, which are a vital component of a number of real-world applications, are prepared for the intelligent analysis of students.
In the graduate program in Artificial Intelligence, students are taught languages that are understood by computers or machines that enable people to engage with them to accomplish certain functionality. Some of the most prevalent machine languages taught to B.Tech students are the languages such as JAVA, Prolog, Lisp, R, and Python.
With this course, students acquire disciplinary skills in areas such as stats, IT, machine learning and logic, data researchers, and employment chances in healthcare, commerce, e-commerce, social networking firms, climatology, biotechnology, genetics, and more.
This curriculum focuses mostly on teaching pupils statistical, mathematical rationale, mechanical learning, learning knowledge, and visualization abilities.
Employment prospects & Career
Jobs across a rangeof industries, including Research & Development, IT, Telecommunications, ElectronicCommerce, Government Agencies, Banking, Insurance, IT Services, Aerospace, Healthcare.
Career Opportunities
- Chief Technology Officer
- Data Scientist
- Business Analyst
- System analyst
- Data Analyst
- Network Systems Administrator
- Database Administrator
- IT systems administrator
- Software quality assurance analyst
- Webmaster
- Technocrat
- Database Administrator
- Customer support administrator
- Software engineer
- Application developer and Entrepreneur
Dr. M. Sharada Varalakshmi is a dynamic academician in Computer Science and Engineering, recognized for her excellence in teaching, research, and institutional leadership. She earned her Ph.D(CSE) from JNTUH, Hyderabad, complemented by an M.Tech in Software Engineering and a B.Tech in CSE, laying a robust foundation for her impactful career.
With extensive experience, she has significantly contributed to curriculum design, NBA and NAAC accreditation, ISO processes, and IQAC initiatives. She has led international conferences on Artificial Intelligence and emerging technologies, along with numerous workshops and faculty development programs. Her research portfolio includes publications in reputed Scopus-indexed journals and secured patents in AI-based emotion recognition, humanoid robotics, and energy-efficient systems. Her work on deep neural networks supported by a TEQIP-III research grant.
An active member of IEEE, ISTE, and CSI, Dr. Sharada remains at the forefront of technological advancements. As a passionate educator and mentor, she inspires students and colleagues toward innovation, excellence, and lifelong learning, embodying a true blend of scholarly rigor and visionary leadership.
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