Dr. Deepank Verma

2020 – Till Date Postdoctoral Researcher, Institute for Sustainable Urbanism (ISU), TU Braunschweig, DE

2019 - 2020 Research Associate, Centre for Urban Science and Engineering (CUSE), IIT Bombay, India

2017 - 2019 Teaching Assistant, Centre for Urban Science and Engineering (CUSE), IIT Bombay, India

_{2016 - 2020}

Ph.D. in Urban Science and Engineering, CUSE, IIT Bombay, India _{(Supervisors: Prof. Dr. Krithi Ramamritham and Prof. Dr. Arnab Jana)}

_{2014 - 2016}

M.C.P (Masters in City Planning), Dept. of Architecture and Regional Planning, IIT Kharagpur, India

_{2010 - 2014}

B.Plan (Bachelors in Planning), Dept. of Urban Planning, SPA Bhopal, India

• 2020 – Naik and Rastogi award for excellence in Ph.D. research, IIT Bombay, India.
• 2020 – Guest Speaker on Seminar Titled “AI in Urban Planning” organized by Institute of Town Planners India (ITPI, apex body in India for regulating Urban Planning courses and profession).
• 2020 – Best Paper Award at 1st ICUSE Conference, IIT Bombay.
• 2019 – Speaker at Continuing Education Programme (CEP) in “Advances in Urban Planning: Needs of 21st Century Cities”.
• 2019 – Travel Grant to Attend Summer School at BIN Studies Unit, Univ. of Tokyo (Japan).
• 2019 – Travel Grant to Attend Global Cities Forum at Chicago, IL (USA).
• 2016­ – 2020 – MHRD Fellowship for Teaching Assistantship during the PhD Program. 
• 2016 – Best Thesis award in M.C.P. Program.
• 2014 ­– 2016 – MHRD Fellowship for Teaching Assistantship during the M.C.P. Program.

Articles in Peer-Reviewed Journals

Verma, D., Mumm, O., & Carlow, V. M. (2021). Identifying Streetscape Features Using VHR Imagery and Deep Learning Applications. Remote Sensing, 13(17), 3363.

Verma, D., Jana, A., & Ramamritham, K. (2020). Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips. Building and Environment, 186, 107340.

Verma, D., Jana, A., & Ramamritham, K. (2019). Machine-based understanding of manually collected visual and auditory datasets for urban perception studies. Landscape and Urban Planning, 190, 103604.

Verma, D., Jana, A., & Ramamritham, K. (2019). Identifying degrees of built arrangement in Indian cities through mid-resolution satellite imagery and Convolutional Neural Networks. In 2019 International Conference on Intelligent Computing and Remote Sensing (ICICRS) (pp. 1-6). IEEE.

Verma, D., Jana, A., & Ramamritham, K. (2019). Transfer learning approach to map urban slums using high and medium resolution satellite imagery. Habitat International, 88, 101981.

Verma, D., Jana, A., & Ramamritham, K. (2019). Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks. Noise Mapping, 6(1), 52-71.

Verma, D., Jana, A., & Ramamritham, K. (2018). Classification of the structure of cities through mid-resolution satellite imagery and patch based neural networks. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.

Verma, D., Jana, A., & Ramamritham, K. (2018). Quantifying urban surroundings using deep learning techniques: a new proposal. Urban Science, 2(3), 78.

Books and Book Chapters (2014-2019)

Verma, D., Varghese, V., & Jana, A. (2021). Applicability of Big Data for transportation planning and management. In Advances in Urban Planning in Developing Nations (pp. 99-110). Routledge India.

Verma, D., Jana, A., & Ramamritham, K. (2021). Analyzing New Frontiers in Urban Preference and Perception Research. In Geospatial Technology and Smart Cities (pp. 117-133). Springer, Cham.

Verma, D., & Jana, A. Urban perception experiments: Transition from traditional to advanced methods. In Advances in Urban Planning in Developing Nations (pp. 18-49). Routledge India.

Verma, D., & Jana, A. (2021). Urban Envelope: Representing Audio and Visual Features Extracted from Deep Learning Techniques. Urban Science and Engineering: Proceedings of ICUSE 2020, 121, 231.

Verma, D., Jana, A., & Ramamritham, K. (2019). Artificial Intelligence and Human Senses for the Evaluation of Urban Surroundings. In International Conference on Intelligent Human Systems Integration (pp. 852-857). Springer, Cham.

Verma, D., Jana, A., & Ramamritham, K. (2018) How diverse are the neighbourhoods? a diversity index to assess land use mix through open source and online datasets. Regional Science Association International.

Other Publications

Verma, D., & Jana, A. (2019). LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai. arXiv preprint arXiv:1909.09774..

Current:

• _{Since 2020} BeSt-Cities, Postdoctoral Researcher

• _2021/22 Urban Data Lab – I Lead Instructor for the seminar. This is Part-I of the seminar, which provided an opportunity for the students to understand, create, assemble, code, and analyse the urban environment with the help of sensors and pocket-sized computers. It further facilitated students to gain know-how of the latest developments in visual and audio analysis with various Artificial Intelligence (AI) tools