Dr. Kusum Lata

Qualifications & Professional Profile 

• Assistant Professor, Delhi School of Management, Delhi Technological University
• Ph.D. in Computer Science & Engineering, Delhi Technological University
• Master of Engineering (M.E.) in Computer Technology & Applications, Delhi College of Engineering, University of Delhi (now Delhi Technological University)
• B.Tech. in Computer Science & Engineering, Punjab Technical University
• UGC-NET Qualified in Computer Science & Applications
• 15+ years of teaching and research experience

Dr. Kusum Lata is Assistant Professor at Delhi School of Management, DTU. She has done her B. Tech in Computer Science and Engineering from Punjab Technical University, Punjab and Master of Engineering (M.E.) in Computer Technology and Applications from Delhi College of Engineering, University of Delhi (Presently Delhi Technological University). She has completed her Ph.D. in Computer Science and Engineering from Delhi Technological University. She has qualified UGC-NET in Computer Science and Applications. She has more than 15 years of teaching and research experience.

She has completed the Prompt Engineering certification with a Gold grade through SWAYAM–NPTEL (MHRD, Government of India), spearheaded by IIM Bangalore and JAIN (Deemed-to-be University), Bengaluru, demonstrating her commitment to advancing expertise in emerging technologies.

She has published research papers in reputed international journals, including Software Quality Journal, Soft Computing, and Neurocomputing, as well as in leading international conferences. Her research interests include Machine Learning, Data Mining, Data Analytics, Database Management Systems, Software Quality Improvement, and the Definition and Validation of Software Metrics. She has been recognized with the Commendable Research Award for Excellence in Research by Delhi Technological University in 2020 and 2021.

Academic Positions Held

• Assistant Professor, HMR Institute of Technology and Management (Affiliated to Guru Gobind Singh Indraprastha University), July 2008 – July 2014
• Assistant Professor, Department of Computer Science & Engineering, Delhi Technological University, July 2014 – September 2018
• Assistant Professor, University School of Management & Entrepreneurship (USME), East Delhi Campus, Delhi Technological University, September 2018 – August 2025
• Assistant Professor, Delhi School of Management, Delhi Technological University, August 2025 – Present

Academic and Administrative Responsibilities 

• Co-Convener, Conference on "Diversity, Equity and Inclusion: Cultures, Practices and Policies", organized by University School of Management and Entrepreneurship (USME), East Delhi Campus, Delhi Technological University, 15/09/2023 – 16/09/2023.
• Co-Convener and Treasurer, International Conference and Startup Expo-2024, organized by USME, East Delhi Campus, Delhi Technological University, 21/02/2024 – 22/02/2024.
• Co-Convener First DTU CXO Summit at India Habitat Centre, Lodhi Road, on 30 May 2025.
• Chairperson, Executive MBA in Data Science and Analytics, USME, East Delhi Campus, DTU. 2024, 2025
• Deputy Chairperson and Member, Admission Committees for MBA (Business Analytics), MBA, BBA, and BA (Hons.) Economics programmes, USME, East Delhi Campus, DTU
• Member, Curriculum Development and Syllabus Revision Committees for BBA, BA (Hons.) Economics, MBA, and allied programmes, USME, East Delhi Campus, DTU
• Time Table In-charge and Faculty Coordinator of student societies and clubs, USME, East Delhi Campus, DTU
• Member, Student Research Committee (SRC) for Ph.D. scholars, USME, East Delhi Campus, DTU
• Member DRC, DSM, DTU

• Machine Learning
• Applied Business Analytics and Intelligence
• Data Warehousing and Data Mining
• Programming using Python
• Object Oriented Programming
• Applied Business Analytics and Intelligence
• Database Management Systems
• E-Learning and Knowledge Management
• Business Intelligence
• Management Information Systems
• E-Commerce
• Algorithm Design and Analysis
• Programming using C 
• Programming using Python
• Operating System
• Software Engineering
• Computer and Programming Fundamentals

Member, Institute of Electrical and Electronics Engineers

• Malhotra, Ruchika, and Kusum Lata. "An empirical study on predictability of software maintainability using imbalanced data." Software Quality Journal 28.4 (2020): 1581-1614. (SCIE)
• Malhotra, Ruchika, and Kusum Lata. "A systematic literature review on empirical studies towards prediction of software maintainability." Soft Computing 24, no. 21 (2020): 16655-16677.(SCIE)
• Malhotra, Ruchika, and Kusum Lata. "An exploratory study for predicting maintenance effort using hybridized techniques." In Proceedings of the 10th innovations in software engineering conference, pp. 26-33. 2017.
• Malhotra, Ruchika, and Kusum Lata. "An empirical study to investigate the impact of data resampling techniques on the performance of class maintainability prediction models." Neurocomputing 459 (2021): 432-453. (SCIE)
• Malhotra, Ruchika, and Kusum Lata. "Handling class imbalance problem in software maintainability prediction: an empirical investigation." Frontiers of Computer Science 16 (2022): 1-14. (SCIE)
• Malhotra, Ruchika, and Kusum Lata. "On the application of cross-project validation for predicting maintainability of open source software using machine learning techniques." In 2018 7th international conference on reliability, Infocom technologies and optimization (trends and future directions)(ICRITO), pp. 175-181. IEEE, 2018.
• Sharma, Nidhi, Anchal Pathak, B. Latha Lavanya, Naval Garg, and Kusum Lata. "Exploring the psychometric properties of personal optimism and self-efficacy optimism-extended (POSO-E) scale among Indian teachers." Benchmarking: An International Journal 30, no. 7 (2023): 2234-2247. (Scopus Indexted)
• Lata, Kusum, and Naval Garg. "Predicting non-violent work behaviour among employees using machine learning techniques." International Journal of Conflict Management 34, no. 5 (2023): 931-944. (ABDC A)
• Malhotra, Ruchika, and Kusum Lata. "Using ensembles for class-imbalance problem to predict maintainability of open source software." International Journal of Reliability, Quality and Safety Engineering 27, no. 05 (2020): 2040011. (ESCI)
• Rao, Kunal, Pawan Raj Gopal, and Kusum Lata. "Computational analysis of machine learning algorithms to predict heart disease." In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 960-964. IEEE, 2021.
• Malhotra, Ruchika, and Kusum Lata. "Improving software maintainability predictions using data oversampling and hybridized techniques." In 2020 IEEE Congress on Evolutionary Computation (CEC), pp. 1-7. IEEE, 2020.
• Malhotra, Ruchika, and Kusum Lata. "Analysis of hybridized techniques with class imbalance learning for predicting software maintainability." International Journal of Reliability, Quality and Safety Engineering 30, no. 02 (2023): 2350006. (ESCI)
• Lata, Kusum. "On the efficacy of boosting-based ensemble learning techniques for predicting employee absenteeism." In Computational Intelligence: Select Proceedings of InCITe 2022, pp. 179-187. Singapore: Springer Nature Singapore, 2023.
• Lata, Kusum, and Naval Garg. "Predicting Leadership Flexibility Using Supervised Learning Techniques." Global Journal of Flexible Systems Management (2025): 1-16. (ABDC A)
• Tayal, Charu, Rajesh Sharma, and Kusum Lata. "Examining maternal healthcare service utilization as a determinant of child health outcomes in India: Demographic and Health Survey 2019–21." Children's Health Care (2025): 1-22.
• Tayal, Charu, Rajesh Sharma, and Kusum Lata. "Association between women’s autonomy and reproductive health outcomes in India." Journal of Medicine, Surgery, and Public Health 4 (2024): 100156.
• Tayal, Charu, Rajesh Sharma, and Kusum Lata. "Concomitant Factors Influencing Breastfeeding Practices in India: Evidence from Demographic and Health Survey 2019–21." Global Social Welfare (2025): 1-14. (ESCI)
• Tayal, Charu, Rajesh Sharma, and Kusum Lata, "Does intimate partner violence experienced by mothers impact child health in South Asian countries? Evidence from mixed-effects logistic regression analysis",  Journal of Gender Studies, 2026. (SSCI)

• Computer Graphics and Multimedia, TechIndia Publications
• Book Chapter:  " Malhotra, Ruchika, and Kusum Lata. "Tackling the Imbalanced Data in Software Maintainability Prediction Using Ensembles for Class Imbalance Problem." Advances in Interdisciplinary Research in Engineering and Business Management (2021): 391-399.

Published Design Patent AI-Driven Aquatic Nutrition Regulation and Activities Monitoring System, 2026

• Received Commendable Research Award From Delhi Technogocial University, 2021
• Received Commendable Research Award From Delhi Technogocial University, 2020

• Prompt Engineering Certification (Gold) , July 2026– SWAYAM–NPTEL, MHRD, India.
• Attended the One-Week Faculty Development Programme (FDP) on "Human–Computer Interaction: An Indian Perspective", organized by the Department of Computer Science and Engineering, Netaji Subhas University of Technology (NSUT), New Delhi, in online mode, from 24/02/2025 to 28/02/2025.
• Two-Week Faculty Development Programme (FDP) on "AI and Sustainability", organized by the E&ICT Academy, National Institute of Technology (NIT), Warangal, from 06/06/2025 to 15/06/2025.
• Attended the AICTE ATAL Faculty Development Program on "Software Engineering Paradigms of Computational Intelligence", organized by Netaji Subhas University of Technology (NSUT), Delhi, from 25/11/2022 to 29/11/2022.
• Attended the Two-Week Refresher Programme on "Managing Online Classes and Co-creating MOOCs 15.0", organized by Ramanujan College, University of Delhi, from 06/06/2022 to 20/06/2022.
• Attended the AICTE–ISTE Approved Orientation/Refresher Programme on "Use of ICT in Engineering Education", organized by Maharaja Surajmal Institute of Technology, New Delhi, from 07/04/2021 to 13/04/2021.
• Attended the AICTE ATAL Advanced Faculty Development Program on "Machine Learning and Computer Vision", organized by Vignan's Foundation for Science, Technology and Research University, from 05/07/2021 to 09/07/2021.
• Attended the AICTE ATAL Faculty Development Program on "Research Methodology and Optimization Techniques", organized by Government Polytechnic, Nashik, from 13/12/2021 to 17/12/2021.
• Attended the Two-Week Refresher Course in Computer Science, organized by Ramanujan College, University of Delhi, from 02/05/2022 to 16/05/2022.
• Attended the e-Short-Term Course (e-STC) on "Recent Advances of Machine Learning in Software Engineering", organized by Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, from 23/11/2020 to 27/11/2020.
• Attended the Faculty Development Program on "Decision Sciences", organized by the Institute of Road and Transport Technology, Tamil Nadu, from 02/11/2020 to 06/11/2020.
• Attended the One-Month UGC-Sponsored Faculty Induction Programme, organized by Jamia Millia Islamia, New Delhi, from 28/12/2020 to 28/01/2021 
• Attended the Faculty Development Program on "Game Changer", organized by Delhi Technological University, Delhi, from 01/03/2019 to 02/03/2019.
• Attended the Workshop on "R" and Econometric Tools, organized by Delhi Technological University, Delhi, from 05/03/2019 to 09/03/2019.
• Attended the Short-Term Training Program (STTP) on "Recent Trends in AI and Machine Learning", organized by Delhi Technological University, Delhi, from 29/07/2019 to 02/08/2019.
• Attended the Short-Term Training Program (STTP) on "Recent Trends in Security and Cryptography", organized by Delhi Technological University, Delhi, from 18/11/2019 to 22/11/2019.

• Ph.D. Scholars: Currently supervising 6 Ph.D. scholars, with 1 scholar having completed the Ph.D. under her guidance.
• Postgraduate Research Guidance: Guided several MBA dissertation students and continues to supervise postgraduate research projects.

Reviewer for reputed international journals, including Discover Artificial Intelligence, Discover Sustainability, BMC Public Health, International Journal of Data Science and Analytics, and BMC Medical Informatics and Decision Making.