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UID:www.tcs.tifr.res.in/event/1562
DTSTAMP:20250609T093423Z
SUMMARY:Creating datasets for environmental sustainability problem in devel
 oping countries
DESCRIPTION:Speaker: Rijurekha Sen (IIT Delhi)\n\nAbstract: \n\nData analyt
 ics\, big data\, machine learning\, artificial intelligence etc. are words
  dominating our research and industry discourses these days. We believe th
 at if we had enough data\, to understand our biggest problems like air pol
 lution or climate change\, we would be able to better tackle these menaces
 . AI for Social Good (Google) or AI for Earth (Microsoft) are example gran
 t programs trying to develop AI algorithms to process environmental sustai
 nability datasets. However\, creating the necessary environmental datasets
  in developing countries is hard. Delhi-NCR\, for example\, covers 55K squ
 are KMs\, but has only 35 air quality monitoring stations\, even with the 
 whole world’s attention focussed on this city’s pollution problems. Me
 asurement infrastructure in other parts of the country is worse. Budget co
 nstraints\, lack of domestic instrument production increasing procurement 
 and maintenance costs from foreign countries\, lack of broadband network s
 o that deployed sensors can easily send data from the field to remote serv
 ers for processing — all play a role in this data paucity problem. In th
 is talk\, I’ll highlight how embedded systems/edge computing/IoT (same t
 hing\, different names) can augment this data generation process for susta
 inability problems in developing countries. I’ll use two examples of air
  pollution monitoring using Delhi public buses and traffic monitoring on D
 elhi Ring Road intersections. The talk will touch upon the low level sensi
 ng and embedded processing pipeline including embedded deep neural network
 s\, software verification and remote attestation methods to ensure device 
 security\, privacy issues with the collected data data when different indu
 stry partners are involved\, and AI/ML on the aggregated datasets for urba
 n policy analysis like odd-even traffic rule.\nShort Bio:Rijurekha is an a
 ssistant professor in the department of computer science and engineering a
 t the Indian Institute of Technology Delhi. Her research interests are in 
 problems at the intersection of information technology and society\, and i
 n particular on building distributed\, networked and privacy aware systems
 . This includes work on building systems for road traffic monitoring\, hum
 an mobility measurements\, public policy audit and privacy enhancement in 
 ubiquitous systems\, among others. Before moving to IIT Delhi\, Rijurekha 
 did her PhD at IIT Bombay and was a postdoc at the Max Planck Institute fo
 r Software Systems at Saarbrucken in Germany.\n
URL:https://www.tcs.tifr.res.in/web/events/1562
DTSTART;TZID=Asia/Kolkata:20250620T160000
DTEND;TZID=Asia/Kolkata:20250620T173000
LOCATION:Main Lecture Theatre (AG-66)
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