Name

  HUJAIMAH  NIDA

Designation

 ASSISTANT PROFESSOR

Brief Profile (Expertise)

Mrs. Hujaimah Nida is an Assistant Professor in the Department of Computer Science and Engineering with an M.Tech in Computer Science. She brings valuable industry experience to academia, having worked on real-world projects in Machine Learning, Python development, and CI/CD pipeline automation.

With strong technical expertise in Data Structures & Algorithms, Database Management Systems, and software delivery workflows, she is passionate about bridging the gap between industry practices and classroom learning. Currently teaching Machine Learning, she focuses on a hands-on, application-oriented approach to help students build job-ready skills.

Committed to student-centric mentoring, she actively guides projects and aims to align curriculum with emerging technologies and industry standards

Department

INFORMATION TECHNOLOGY

Mobile

 9966759802

Email

 hujaimahnida@deccancollege.ac.in

Date of Joining

 27-JAN-2026

Educational

Qualifications

·       M.Tech in Computer Science & Engineering from Jamia Hamdard University, New Delhi.

·       B.Tech in Electronics and Communication from Aroura Research and Technological Institute, Warangal.

Professional

Competency

 Academic & Teaching Competencies

·       Expertise in teaching core and advanced  IT subjects.

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

·       Strong mentoring skills for UG students.

·       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

 Machine Learning, Data Structures, Database Management System

Experience

Total:   2.5    Year

1.  Teaching:    5      Months

2.   Industrial :   2  Year

Publications

Total:    2

Scopus Journals:  _2_

 Awards & Honors

Recipient of Gold Medals for academic excellence in both M.Tech (Computer Science & Engineering) and B.Tech (Electronics & Communication Engineering)

  Research Interest

Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision.