Dr. Chidananda Prasad Das
Also known as: Prasad
Shyam Steel Works Private Limited, Balasore Alloys Limited, Siksha O Anusandhan University, Fakir Mohan University, Indian Metals & Ferro Alloys LTD
About
Dr. Chidananda Prasad Das (ORCID 0000‑0001‑6019‑3893) is an environmental scientist specializing in traffic noise pollution, geospatial sound mapping, and health outcome modeling. His research leverages both SEM and ANN to predict noise-related annoyance effects in urban Odisha. Currently serving as Assistant Manager at Shyam Steel Works Private Limited, he integrates data-driven research methodologies into environmental compliance, monitoring, and sustainability practices.
Employment
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Shyam Steel Works Private Limited Assistant Manager2025 - Present
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Balasore Alloys Limited Environmental Executive2024 - 2024
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Indian Metals & Ferro Alloys LTD Officer: Environment2022 - 2024
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Siksha O Anusandhan University JRF (PhD Scholar)2018 - 2023
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Shree Green Consulatants Assistant Manager2018 - 2018
Education
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Siksha O Anusandhan University Ph.D.2018 - 2023
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Fakir Mohan University M.Sc2013 - 2015
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Fakir Mohan University B.Sc2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- Predictive environmental modeling for air quality assessment via machine learning techniques Save
- Noise Mapping and Impact of COVID-19 Lock Down on Traffic Noise Induced Health Issues Using SEM Approach Save
- Health effects of noise and application of machine learning techniques as prediction tools in noise induced health issues: a systematic review Save
- Air mapping during COVID-19 and association between air pollutants and physiochemical parameters of the plants using structural equal modeling: a case study Save
- Soundscape of an eastern coastal city of India Save
- Geospatial Mapping of Sound Exposure Zones of Puri, Odisha, India: A Tool for Noise Pollution Management Save
- Assessment of road traffic noise pollution in Basudevpur – A case study on the sub‐urban area of Bhadrak, Odisha, India Save
- Prediction of traffic noise induced annoyance of vendors through noise indices using structural equation modeling: Artificial neural network model Save
- Association between traffic noise-induced psychophysiological, and socio-demographic factors of motorcycle riders Save
- Impact of Noise Pollution during Covid-19: A Case Study of Balasore, Odisha Save