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Rina Maiti, PhD Faculty of Engineering, Department of Design and Manufacturing (DM) Assistant Professor |
Academic Experience Academic Qualifications:
Post Doctoral Fellowship (PDF)
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Area of Research Interest :
Courses :
Research Lab : Human Engineering Research Lab (HER Lab)
Editorial Board Member : International Journal of Industrial Ergonomics Elsevier
Contacts: +91-80-2293-3134/2359 email: rmaiti@iisc.ac.in
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Biography: I received B.Sc.(Bachelor of Science) in Human Physiology specialization with Zoology and Chemistry and then did my M.Sc. (master of Science) in Human Physiology and Community Health. During both B.Sc. and M.Sc. I have studied Biochemistry, Histology, Enzymology and part of Genetics along with Human Physiology related courses. An understanding of human anatomy and physiology during this 5 years study on Human Physiology helped me to form a solid background on the structure and working of the human body and following medical literatures to update knowledge on new studies. It is also imperative to study on human behavior and response in effective human interface design and Biomedical Engineering solutions. Immediately after M.Sc, I joined M.Tech. in IITB (1993 January - 1994 June) and I was trained in engineering disciplines and my M.Tech. Thesis was on "Gait Analysis : development of an electrogoniometer and determination of EMG Activity with special reference to knee angle". After a gap of 6 months, I joined PhD (1995-Oct., 2001) in the same department and my thesis was entitled as "Estimation of safe load limit of lifting for Indian Workers", it covered laboratory set-up development, study design, field and laboratory study, recording data and analysis. After my thesis submission before my thesis defense I joined Usability lab in POSTECH (Oct. 2001- Oct. 2002) forthwith to work on psychophysical measurement through EEG recording, started with laboratory set-up development and ended with data analysis and publish result. The aim of the work was in digital marketing while deciding "Good" or "Bad" product just by looking at digital images based on different product parameters, does the response reflect on our visual sensory processing during Visual Evoked Potential (VEP) generation, even before recognition. Without any gap, I joined in the same institute as PDF in Computer Science and Engineering department (Oct.2002 - Oct.2003) to work on Brain-Computer Interface (BCI) - through pattern recognition and classification of C3 and C4 EEG signal during motor imagery response. Immediately after finishing one year, I joined National Institue of Industrial Engineering (NITIE), Mumbai, as consultant Professor and continued for around 20 months (Oct. 2003-June,2005). Then I joined IISc, my presnet department in July,2005. Here, I am working extensively on Mechanical Engineering disciplines alongwith other engineering disciplines. I am working on a broad area of Human Engineering. Human Engineering is earlier name of Human Factors Engineering, dealing with the application of information on physical and psychological characteristics to the design of devices and systems for human use. When the literature provides a plausible scientific basis on human response and limitations, that knowledge is incorporated in design solution; when it does not, it prompts new lines of research, which is often required as man is having intersubject and intra-subject variations in accordance with adaptation. Therefore, working in this area is very challenging, demanding, interesting, complex and multifaceted and ever growing. Clinical engineering is a discipline combining different engineering practices with medical science to serve our day-to-day demands, disabled or differently abled persons, patients and health care providers to improve mankind and optimise healthcare delivery. It is multidisciplinary in nature and engage in developing tools based on engineering and physical sciences to solve medical problems. It covers a wide range of contributing areas including biomedical engineering, health technology, health informatics and telemedicine, artificial organs, implants and biomaterials, bioinformatics, biomedical instrumentation, biomechanics, rehabilitation engineering and assistive technologies, biomedical signal processing, modelling of physiological systems, use of ultrasound in health, use of radiation in health, human function modelling, machine learning and artificial intelligent for classification of pathological condition and medical imaging etc. IIt gives me new challenges each and every steps in problem solution and seeds for new knowledge.
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