Biography
Passionate about low-cost air pollution sensors and democratizing access to environmental data for communities worldwide. As a mechanical engineer deeply committed to tackling real-world challenges, my journey has evolved to embrace the integration of mechatronics and human health. This multidisciplinary background paves the way for data-driven, human-centered solutions with tangible, real-world applications.
Currently a Ph.D. Candidate in the Department of Design at IIT Delhi, my primary focus revolves around designing and creating affordable solutions for air pollution monitors tailored to diverse weather conditions.
Research Interests
- Product Design for Environmental Monitoring
- Human-Centered Personal Exposure Monitors
- Interaction Design & Data Visualization
- Embedded Systems & Open-Source Hardware
- Data-Driven Approaches for Sensor Performance Evaluation, Calibration and Drift Detection.
Education
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Ph.D., Indian Institute of Technology, Delhi (2019-Continuing)
Advisors: Dr. Jay Dhariwal, Dr. Seshan Srirangarajan. Thesis Submitted.
Thesis: Performance Assessment of Low-Cost PM Sensors under Diverse Exposure and Meteorological Conditions
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M.Tech., Indian Institute of Technology, Bhubaneswar (2016-2018)
Advisors: Dr. Satyanarayan Panigrahi, Dr. V. Pandu Ranga.
Thesis: Design and Development of Unmanned Ground Vehicle
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B.Tech., Punjab Technical University (2010-2014)
Thesis: Design and Development of Partial Submersible Turbine
Experience
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Principal Project Scientist, Department of Electrical Engineering
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Senior Project Scientist, Makerspace
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Researcher and Teaching Assistant
Low Cost Particulate Matter Sensors. Data Driven Design (DDL735), Design with Contemporary Technology (DDL124), and Introduction to IoT Prototyping (DSL810).
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Faculty
Quantitative Aptitude/ Analytical Ability, Physics, Mathematics
Technical Domains
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Air Quality & Aerosol Instrumentation
Extensive field and laboratory experience evaluating low-cost PM monitors (e.g., Sensirion SPS30, Plantower PMS7003, Honeywell, shinyei). Proficient with Federal Equivalent Method (FEM) Monitors like BAM-1020/1022, GRIMM-11D, Aerodynamic Particle Sizers, Particle Generator (Palas AGK 2000) and Aethalometer AE33.
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Data Analysis & Visualization
Over 6 years of data analysis/ visualisation experience with Python and R-Studio. Specialized in creating dynamic dashboards (Shiny, Streamlit) using packages like Openair, tidyverse, and Plotly to unlock insights from complex spatiotemporal pollution data.
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Embedded Electronics & IoT
Formal training in mechatronics with a strong foundation in C/C++ programming. Experienced in developing custom sensor nodes using STM32, Seeed Studio XIAO, Arduino, and ESP microcontrollers, integrated with IoT platforms.