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RESEARCH and FACULTIES

Major Areas Covered By IEM

  1. Quality Control and Management
  2. Ergonomics and Human Factors Engineering
  3. Advanced Manufacturing Technology
  4. Logistics and Supply Chain Managementt
  5. Product Design and Development
  6. Occupational Health and Safety Management
  7. Robotics & Automation
  8. Manufacturing
  9. Operations Research and Management
  10. System Modeling and Simulation
  11. Machine Learning and Data Analytics
Research Domain Brief Description Faculty by Research Domain
Quality Control and Management Quality control and management entail ensuring that products and processes satisfy defined standards and are constantly improved. Monitoring production processes, discovering flaws or inefficiencies, and performing remedial actions all contribute to maintaining and improving product quality. This guarantees that the finished product is dependable, efficient, and satisfies client expectations. Dr. Subrata Talapatra,
Md. Al Amin,
Md. Habibur Rahman,
Palash Saha
Ergonomics and Human Factors Engineering Ergonomics and human factors managemen develop workspaces, systems, and processes to suit workers' physical and cognitive skills. Optimizing people-workspace interaction, minimizing injury risk, and enhancing job performance improves productivity, safety, and comfort. Dr. Subrata Talapatra,
Md. Golam Kibria,
Md. Shohel Parvez,
Farjana Parvin,
Rafat Mahmud Hridoy,
Nourin Mohsin
Advanced Manufacturing Technology Advanced manufacturing technology refers to the application of cutting-edge techniques and equipment to maximize output. Increased productivity, decreased waste, and quicker responses to changing market conditions are all outcomes of these advances' positive effects on manufacturing process efficiency, accuracy, and flexibility. Dr. Md. Rafiquzzaman,
Dr. Mst. Nazma Sultana,
Asef Shahriar
Logistics and Supply Chain Management Managing the flow of resources, data, and products from producers to consumers is the focus of logistics and supply chain management. This encompasses a wide range of tasks, such as transportation, warehousing, distribution, inventory management, and procurement. Meeting client demand while minimizing waste and ensuring efficient and cost-effective product delivery is the goal. Dr. Subrata Talapatra,
Dr. Md. Saiful Islam,
Md Al Amin,
Farjana Parvin,
Md. Habibur Rahman,
Tamanna Kamal,
Palash Saha,
Md. Ismail Hossain,
Ridwan Mustofa,
Jahid Hasan Ashik,
Md. Tanjid Hossen Irfan,
S M Julfiker Zahid
Product Design and Development From initial ideation to finished product manufacturing, industrial engineers work on product design and development. To achieve functional, aesthetic, and budgetary goals, this process entails brainstorming, creating a prototype, testing it, and finally, optimizing it. The goal is to design goods that are new, competitive in the market, and easy to produce while still satisfying customers' demands and meeting all applicable quality and safety regulations. Md. Shohel Parvez,
Md. Golam Kibria,
Farjana Parvin,
Rafat Mahmud Hridoy,
Nourin Mohsin
Occupational Health and Safety Management The field of occupational health and safety management is dedicated to guaranteeing a secure and healthy workplace by discovering, evaluating, and reducing potential risks in the work environment. This entails the implementation of safety protocols, the training of staff, and the monitoring of adherence to safety regulations. The objective is to mitigate accidents, injuries, and diseases, thereby safeguarding workers and improving overall productivity and well-being in the workplace. Md. Shohel Parvez,
Md. Golam Kibria,
S M Julfiker Zahid
Robotics & Automation Robotics and automation encompass the utilization of robots and automated systems to execute operations that are monotonous, hazardous, or want exceptional accuracy. These technologies improve production efficiency, consistency, and speed by minimizing human mistakes and minimizing labor expenses. Robotics and automation play a crucial role in enhancing manufacturing processes, facilitating adaptable production, and boosting overall productivity in diverse industrial environments. Dr. Md. Rafiquzzaman,
Md. Mahbubur Rahman,
Md. Tanvir Anzum
Manufacturing Manufacturing involves the conversion of raw materials into final goods using several manufacturing techniques. The process entails the creation, organization, and enhancement of production procedures to attain efficiency, cost-effectiveness, and superior output quality. Industrial engineers concentrate on optimizing these procedures to achieve maximum efficiency, minimize inefficiencies, and guarantee that the end products adhere to customer requirements and industry norms. Dr. Md. Rafiquzzaman,
Dr. Mst. Nazma Sultana,
Tamanna Kamal
Operations Research and Management Operations research and management utilize mathematical models, statistical analysis, and optimization approaches to enhance decision-making and efficiency in intricate systems. It is centered around addressing issues pertaining to resource allocation, scheduling, logistics, and production processes. The objective is to improve operational efficiency, minimize expenses, and attain optimal performance across different organizational activities. Dr. Md. Saiful Islam,
Mahmud Parvez,
Md. Al Amin,
Md. Habibur Rahman,
Tamanna Kamal,
Farjana Parvin,
Palash Saha,
Md. Ismail Hossain,
Ridwan Mustofa,
Asef Shahriar,
Jahid Hasan Ashik,
Md. Tanjid Hossen Irfan,
Kazi Md. Tanvir Anzum
System Modeling and Simulation System modelling and simulation involve making computer models of complicated systems and studying them to learn how they work and how they behave. Engineers can guess what will happen, find inefficiencies, and try solutions before putting them into action by simulating different scenarios and variables. In real life, this method helps improve decision-making, streamline processes, and lower risks. Dr. Mst. Nazma Sultana,
Md. Mahbubur Rahman,
Mahmud Parvez,
Ridwan Mustofa,
Jahid Hasan Ashik,
Kazi Md. Tanvir Anzum
Machine Learning and Data Analytics Machine learning and data analytics encompass the utilization of algorithms and statistical techniques to scrutinize extensive information and reveal discernible patterns or valuable insights. Machine learning models have the capability to forecast trends, enhance processes, and enhance decision-making, while data analytics aids in comprehending past performance and directing strategic selections. Collectively, they optimize productivity, excellence, and creativity in industrial processes. Md. Mahbubur Rahman,
Dr. Md. Saiful Islam,
Mahmud Parvez,
Rafat Mahmud Hridoy,
Md. Ismail Hossain,
Ridwan Mustofa,
Nourin Mohsin,
Asef Shahriar