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Mr. Vulli Krishna Teja
Assistant Professor
Qualification
B.Tech(ICT), M.Tech(ICT) in Networking, Ph.D(CSE) pursuing
Professional Exp.
7 Years
Registration Number
3261-220707-113855
About
Mr. Krishna Teja is a highly qualified professional with a 4 years of teaching experience, 2.5 years in industry, 2 years of Research in the domains of Computer Science and Engineering. Over the years, he has made significant contributions to both undergraduate and postgraduate education, particularly in specialized areas such as Theoretical Computer Science and Natural Language Processing.
His expertise extends beyond the classroom, as he has been actively involved in research focusing on practical implementation and application of his findings. His work bridges the gap between theoretical concepts and real-world solutions, enriching both his teaching and the research community.
Krishna’s long-standing academic, industry and research journey reflects his deep commitment to education, his mastery of subject matter, and his ability to inspire students and colleagues alike with his insights and experience.
Educational Details
- Pursuing Ph.D (Computer Science & Engineering), JNTU College of Engineering, Hyderabad โ December 2019
- M.Tech (ICT) in Networking, DAIICT University, Gujarat.
- B.Tech (ICT), DAIICT University, Gujarat
- SSC, CBSE โ PRPS, Pushpagiri Residential Public School CBSE, Kadapa, Andhra Pradesh.
Professional Background
- Associate Professor, ACE Engineering College, Ankushapur โ August 2024 to till Date.
- Assistant Professor, Bharat Engineering college BIET, July 2023 to July 2024
- Assistant Professor, Malla Reddy Engineering & Management college MREM, May 2022 to June 2023
- Assistant Professor, SVCET Engineering college, chittoor, June 2015 to June 2016.
Subjects Taught:
- Programming & Problem Solving
- Intellectual property Rights
- DataBase Management Systems
- Computer Networks
- OOPS through JAVA
- C and Data Structures
- Multimedia and Web designing
- Design and Analysis of Algorithms.
- Python Programming
Research Interests
Core Research Domains:
- Natural Language Processing.
- Theoretical Computer Science & Graph Theory.
- Data Science.
- Artificial Intelligence
- Machine Learning
- BERT-like architectures.
Research Topics & Focus:
- Sentiment analysis.
- Text summarization.
- Sentence Paraphrasing.
- Handling out-of-vocabulary words.
- Machine Translation.
- Mapping synonyms, antonyms, quasi-synonyms, hypernyms, hyponyms among Multi-lingual texts.
- Bayesian-like approaches.
- Vertex coloring.ย
- Edge coloring.
- Acyclic edge coloring.
- Bi-partite graphs.
- Peterson graph & isomorphic-like graph structures.
- Chromatic numbers.
- A few classical problems from combinatorial logics.
- Frameworks like WordNet, SentiNet, ConceptNet.
Papers Reviewed:
- International Journal of Computational Intelligence and Applications (IJCIA)
- Journal of Ambient Intelligence and Humanized Computing
Certified Courses:
- NPTEL course on Python for Data Science.
- NPTEL course on Data Science for Engineers.
- NPTEL course on Machine Learning for Engineering & Science Applications.
- NPTEL course on Deep Learning.