Dr. Seema Sharma aims to excel in the field of teaching and continuously grow as a professional by acquiring new skills and expanding her knowledge base. Her commitment to educational excellence and professional development drives her dedication to the academic community.
Personal Strengths
Dr. Sharma is goal-oriented, hardworking, and sincere, with a strong ability to work effectively in teams and demonstrate leadership qualities. Her dedication to her profession is evident in her commitment to both her students and her field.
Educational Qualifications
- Ph.D. in Computer Science (2021), Manav Rachna International Institute of Research & Studies
Concentration: Computer Applications
Thesis: Optimization of Software Testing Technique Using Genetic Algorithm - M.Phil. in Computer Science (2010), CDLU Sirsa
- MCA (2004), Guru Gobind Singh Indraprastha University
- B.A. (Hons.) Mathematics (2000), Kirorimal College, Delhi University
Teaching Experience
- Associate Professor in Computer Science, Manav Rachna International University, Faridabad
Duration: July 1, 2011 – Present
Responsibilities: Teaching BCA and MCA students - Lecturer in Computer Science, Faridabad Institute of Technology, Faridabad
Duration: October 1, 2005 – July 2011
Responsibilities: Teaching BCA, MCA, and BBA students - Lecturer in Computer Science, D.A.V. Centenary College, Faridabad
Duration: July 1, 2004 – December 2004
Responsibilities: Teaching MCA, BCA, and B.Sc. students
Subjects Undertaken
Dr. Sharma has extensive experience teaching a wide range of subjects, including:
- Data Structures
- C++
- Java
- Software Engineering
- Artificial Intelligence
- Database Design
- Object-Oriented Design
- System Analysis and Design
- Data Structures through C
- Operations Research
- Software Project Management
- Numerical Analysis
- Discrete Mathematics
- Principles of Management
- Mathematics up to Post-Graduation Level
Dr. Seema Sharma is a distinguished educator and researcher in the field of Computer Science, with a robust academic background and extensive teaching experience. Her expertise spans a diverse array of subjects, reflecting her commitment to delivering high-quality education and fostering a deep understanding of complex computer science concepts. Her ongoing dedication to professional growth and excellence positions her as a valuable asset to the academic community.