Malini's
Lab
Occupational Stress, Coping Behaviour &
Computational Psychology
We study the psychology of stress and coping in professional contexts, combining psychometric methods with computational analytics to build assessment frameworks grounded in real organisational experience.
Dr. Malini Nandi Majumdar
Dr. Malini Nandi Majumdar is an Assistant Professor at the Indian Institute of Social Welfare and Business Management (IISWBM), Kolkata, where she has been a permanent faculty member since July 2012. She holds a Ph.D. in Management (Police Stress & Coping Strategies) from the National Institute of Technology Durgapur, and an MBA (HR) from the West Bengal University of Technology.
Her research focuses on occupational stress, coping behaviour modelling, and industrial psychology, with particular emphasis on police personnel and the Indian organisational context. More recently her work has expanded into computational mental health analytics and AI-driven psychological assessment frameworks.
She has conducted Management Development Programmes for organisations including NHPC, Indian Oil, DVC, and GRSE, and has presented research at the University of Nevada and Harvard Medical School.
Academic Profile
Indian Institute of Social Welfare & Business Management (IISWBM)
Assistant Professor · Kolkata, West Bengal · Since July 2012
National Institute of Technology, Durgapur
Ph.D. in Management · Police Stress & Coping Strategies
West Bengal University of Technology
MBA · Human Resource Management
Research Themes
Occupational Stress & Coping Behaviour
Investigating antecedents and consequences of occupational stress in Indian professional contexts — with foundational work on West Bengal Police — using exploratory and confirmatory psychometric approaches.
Industrial Psychology & Organisational Behaviour
Studying Quality of Work Life (QWL), job performance, total reward systems, and personality factors in the Indian organisational setting using validated psychological instruments.
Computational Mental Health Analytics
Applying machine learning and NLP pipelines to large-scale datasets to model mental health outcomes, detect patterns in stress and depression, and build scalable psychological screening tools.
Chronic Depression & Anxiety Management
Examining chronic depression and anxiety in high-stress professional groups, with intervention-oriented studies targeting Indian police and similar uniformed services.
AI-Driven Psychological Assessment
Designing intelligent frameworks that integrate established psychometric theory with modern AI to automate and augment psychological screening in the Indian context.
Narcissistic Abuse & Recovery
Recognising and mapping patterns behind the narcissistic abuse cycle and recovery trajectories, studied within the Indian social context through primary survey-based research.
Lab Members
PI / Director
Dr. Malini Nandi Majumdar
Publications
Coping Framework of West Bengal Police: A Confirmatory Study
Chronic Depression and Anxiety Management: A Study on Indian Police
Exploring Occupational Stress, Personality and Coping in Police Personnel: An Exploratory Study
A Review on Existing Coping Behaviour in West Bengal Police Personnel: A Confirmatory Analysis
A Review on Existing Coping Mechanisms: An Exploratory Study on Police Personnel of West Bengal, India
Occupational Stress among Custodians of Civic Law: An Exploratory Study
An Impact of Total Reward System on Job Performance
An Insight into Existing Coping Mechanisms: A Study on West Bengal Police
An Impact of QWL on Job Performance: A Case Study on Indian Telecom Industry
Selected Presentations
Recognising the Pattern behind Narcissistic Abuse Cycle and Recovery: A Study on Indian Context
The Attentive Intellect: Enhancement of Cognition by Effective Meditation — An Explorative Study on West Bengal Police
National Academy of Psychology Annual Convention
Advance Data Analytics, Business Analytics & Intelligence
UNLV International Conference
UNLV International Conference
Contact the Lab
College Square West, Kolkata – 700073
West Bengal, India
Learn more at iiswbm.edu →