Gamini Dhiman

Innovative Assistant Professor of Computer Science known for high productivity and efficient task completion. Possess specialized skills in machine learning, software development, and data analysis. Excel in critical thinking, communication, and collaboration, ensuring success in both academic research and teaching environments.

• DBMS
• Operating System
• Machine learning
• Foundation of artificial intelligence
• Computer networks
• Network security
• Software engineering

• Date of Birth: 09/09/92
• Gender: Female
• Nationality: Indian
• Marital Status: Married

• C
• C++
• Python

• Listening to Music
• Cooking
• Singing

• Managed the online course of OS during the pandemic as course coordinator, heading 13 faculty members in 2020
• Served as faculty in charge for the event SAAZ-E-SUR at EXPLORE'19 intra-university talent war at Chitkara University, Punjab, 03/30/19
• Token of appreciation for winning the 'CODE CHEF 2018' organized by Chitkara University, Punjab, 2018
• Attended a 4-day workshop on Oracle Database organized by Infosys Ltd on behalf of Chitkara University, Punjab, 2018
• I served as a resource person and shared my expertise on the subject matter in the workshop for three days on 'SQL and Oracle databases' at Chitkara University, Punjab, in 2018
• I served as a resource person and shared my expertise on the subject matter in the workshop for three days on 'Introduction to Databases' at Chitkara University, Punjab, in 2018
• Attended a 4-day workshop on evolving blended learning models for the freshman year of engineering, organized by Chitkara University, 07/10/17 - 07/13/17
• I stood first in the second semester of my M.Tech in Computer Science and Engineering at Punjabi University, Patiala, in 2014
• Was placed on the college honor roll for excellent academic performance, 2013

• Domain-enhanced pre-processing for a disease-aware recipe recommendation system, International Journal of Computational and Experimental Science and Engineering, 2025
• Enhancing the dataset using data pre-processing techniques for the food recommender system, International Conference on Intelligent Computing and Communication Techniques, 2024
• Detection of cucumber disease using deep learning models, IEEE Global Conference for Advancement in Technology, 2024
• A credit risk assessment for financial institutions using deep learning, IEEE 1st International Conference on Advancement Computing and Emerging Technologies, 2024
• Disease prediction using real-life data and machine learning algorithms, OPJU International Technology Conference (OTCON) on smart computing for innovation and advancement in Industry 4.0, 2024
• Viability of Voila Jones algorithm for drowsiness detection in drivers, IEEE 9th International Conference for Convergence in Technology (I2CT), 2024
• A systematic review and research panorama on food recommender systems in health care, International Journal of Intelligent Systems and Applications in Engineering, 2023
• Adaptability of machine learning in cryptography, Solid State Technology, 2020
• An approach for an automatic recognition system for Indian vehicle numbers using K-nearest neighbor and decision tree classifier, International Journal of Advanced Science and Technology, 2019
• A comprehensive review of RIM for node recovery in wireless sensor networks, International Journal of Advanced Engineering and Research Development, 2016

Machine learning-based system for irrigation, patent no. 6342636

Cloud Computing Concepts, Technology and Architecture.2024, Phoenix International Publication House.