Name

  Dr. SHAIK INDIVAR

Designation

 PROFESSOR

Brief Profile (Expertise)

Dr. Shaik Indivar is a Professor in the Department of Computer Science and Engineering with a Ph.D. in CSE and extensive experience in teaching, research, and academic leadership. With a strong background in emerging technologies, software engineering, and data-driven systems, Dr. Shaik Indivar has guided numerous undergraduate and postgraduate projects and actively contributes to curriculum development and accreditation processes.
Their research interests span across cutting-edge areas of computer science, and they have published research papers in reputed national and international journals and conferences. Committed to academic excellence, Dr. Shaik Indivar is known for a student-centric teaching approach, effective mentoring, and contributions to institutional growth.

Department

COMPUTER SCIENCE & ENGINEERING

Mobile

 9963231037

Email

 INDIVARSHAIK@GMAIL.COM

Date of Joining

 22-Nov-2024

Educational

Qualifications

·         Ph.D in Computer Science & Engineering from Sri Satya Sai University of   

Technology & Medical Sciences, Sehore, Bhopal, Madhya  Pradesh

·         M.Tech in Computer Science & Engineering from JNTU, Hyderabad

·         B.Tech in Information Technology from JNTU, Hyderabad

Professional

Competency

 Academic & Teaching Competencies

·         Expertise in teaching core and advanced CSE subjects.

·         Experience in designing and delivering outcome-based education (OBE).

·         Strong mentoring skills for UG/PG students and research scholars.

·         Effective use of modern pedagogical and ICT tools.

Research & Technical Competencies

·         Proficient in conducting research in key areas of Computer Science & Engineering.

·         Experience in publishing research papers in reputed journals/conferences.

·         Familiarity with research methodologies, data analysis, and scientific writing.

·         Capable of guiding projects, dissertations, and innovative technical solutions.

Administrative & Leadership Competencies

·         Experience in academic coordination, NAAC/NBA documentation, and quality assurance.

·         Participation in curriculum design, BOS/BOE activities, and examination-related responsibilities.

·         Strong organizational and planning skills in academic administration.

Technical Skills

·         Knowledge of programming languages, tools, and platforms relevant to CSE.

·         Competence in emerging technologies such as AI/ML, Data Science, Cloud Computing, or others (customizable).

Specialization

Neural Networks, Data Mining, Machine Learning

Experience

Total:   15     Years

1.  Teaching:    11       Years

a)   Research:     2    Years

b)  Administration:  1 Year

2.    Industrial :   1  Year

Publications

Total:    5            

SC Imago Journals:  ____ Scopus Journals:  _______

Web of Science Journals:           

UGC CARE listed Journals:     5     Peer reviewed Journals: