• Research Projects


    AI and virtual reality modelling and collaborative learning of risk and situational awareness in the socio-technical system under disruptions Read more


    The research project aims to develop a comprehensive artificial intelligence (AI) and virtual reality (VR) based collaborative learning platform for theorizing risk and situational awareness (SA) under man-made disruptions (e.g., accident or disaster) in socio-technical systems and implementing collaborative learning for people and community. To meet this goal, the four integrated objectives are (i) development of AI-based models for hazard identification, risk assessment, and analysis of high-risk accident-paths, (ii) construction and re-creation of abnormal scenarios and high-risk accident-paths using AI and VR technologies, (iii) measuring and modelling of situational awareness among people using AI, VR, and human sensing technologies, and (iv) development of a collaborative VR platform for learning and implementation of the same in real-time. In order to execute the project a few safety-critical work systems from industries such as steelmaking, coal mining and automobiles will be selected. Necessary information and data will be collected. Proper study designs will be made involving the participation of designers, policymakers, managers, operators/workers, and other stakeholders. The exponential technologies like AI, VR, and eye tracking will be used for the development of the models, simulators, and collaborative learning platform. Experiments will be conducted in the Safety Analytics and Virtual reality laboratory situated in the PI’s department. The outcomes of the project can be copyrighted, patented, commercialized, and published. The implementation of the outcomes of the project will help industries and service organizations manifold. For example, designers can use it to enhance their design knowledge and accordingly design/redesign for safety into the systems. Operators/workers can learn individually or in groups using the collaborative VR platform for learning.


    • Development of AI-based models for hazard identification, risk assessment, and analysis of high-risk accident-paths.
    • Construction and re-creation of abnormal scenarios and high-risk accident-paths using AI and VR technologies.
    • Measuring and modelling of situational awareness under disruption (i.e., perception, comprehension, and projection) among people using AI, VR, and human sensing technologies and tools.
    • Development of collaborative VR platform and implementation of the same for real-time collaborative learning of the stakeholders (e.g., operators, designers, policymakers). Further, the developed platform will be continuously improvised from the feedback of the stakeholders resulting in exponential learning. The developments will be tested through select case studies.
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    Centre of excellence in safety engineering and analytics

    Some important related projects done / ongoing in IIT kharagpur

    Safety Analytics: Save people at work from accident and injuries Read more


    Managing safety is a perennial problem for every organization. Today, lead industries spend a huge amount of money and efforts on improving safety standards and building competency among the employees in safety. Safety management systems are in place which is the primary source for safety-related data. Second, the use of IT and sensors increases the number of data manifolds. Even then, the list of problems associated with managing safety is endless. One of the major problems which acted as the root of the motivation behind this project is that even though there is the rapid influx of a large amount of data in the area of safety management, there lacks the capacity or skill to analyses the same. Without appropriate analysis of data, the entire exercise of extensive data collection, however robust it may be, is nothing but a waste of resource. This project attempts to bridge the gap between the industry data collection systems and academic analytical skills by facilitating the creation of a centralized safety database with off-line and on-line data pertaining to safety management systems of various industries.

    The ultimate aim of this project is developing a sustainable safety management system (SMS) for industries with a primary focus on steel sectors for eliminating fatalities and reducing lost-time injuries to people at work. Three integrated safety modules namely, (i) Module-1: the creation of safety analytics database, (ii) Module-2: development of prediction models for predicting accidents/injuries across employee demographics, such as job-wise, location-wise, function-wise, age-wise, experience-wise, etc., and (iii) Module-3: design of prevention and mitigation programs and technologies based on the analysis of safety data will be developed.

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    The list of projects below were done on safety engineering, occupational health, ergonomics, and analytcs by IIT Kharagpur for various customers.

    • Data-driven sustainable and resilient safety management system for Tata Steel Jamshedpur
    • Development and test of a sociotechnical model for assessing the occupational risk of injuries to mine workers
    • Hazard evaluation, risk assessment and accident causation in mines: An application of multivariate statistical models and neural networks
    • Quantitative risk assessment of mineworkers -A useful management tool to improve mine safety performance
    • Management of roof fall risks in underground coal mines
  • Consultancy Projects


    • Safety excellence journey in Aarti Steels, Cuttack
    • Evaluation of DSDP awards
    • Evaluation of human factors and safety in the submersible platform for acoustic characterization and evaluation for NPOL, DRDO
    • Logistics and Process Safety Engineering (LPSE), Adani Enterprises Limited
    • Development of prediction-based OSMS and Virtual accident modeling for Haldia Petrochemicals Limited (HPL)

    Some important related projects done / ongoing in IIT kharagpur

    • Addressing Safety Needs at Design and Redesign Stage Using Prevention through Design (Ptd) Methodology
    • Study of pollution caused by the coal-based thermal power plant in Janjgir - Champa Region (SCBP)
    • Hazard identification, risk assessment and risk control for ammunition storage and preparation in PXE Chandipur
    • Hazard identification and risk assessment of industrial activities in the integrated test range (ITR)
    • Data analytics based axiomatic design of interventions for job stress management
    • Safety consultancy services for the stretch of four laning of Sambalpur-Baragarh-Chattisgarh/ Odisha Border Section of NH-6 from km 0.00 to km 88.00
    • Safety consultancy for construction of new bridge/structure, repair of an existing four-lane highway from Baleshwar to Kharagpur section of NH-60 (km 0.00 to km 119.300) in the State of Orissa and West Bengal and its operation and maintenance under NHDP phase – I
    • Safety consultancy services for the project six-laning of Barwa Adda-Panagarh section on NH-2 from km 398.240 to km 521.120 including Panagrah bypass in the state of Jharkhand and West Bengal under NHDP, Phase -V on BOT (toll) on DBFOT pattern
    • Safety consultancy services for six laning of Dankuni-Kharagpur section of NH-6 from Km 17.6 to Km 129 in West Bengal