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X-WR-CALDESC:Events for Ashoka University
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TZID:Asia/Kolkata
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251001T133000
DTEND;TZID=Asia/Kolkata:20251001T144500
DTSTAMP:20250923T023009Z
CREATED:20250912T020550Z
LAST-MODIFIED:20250923T023009Z
UID:82118-1759325400-1759329900@www.ashoka.edu.in
SUMMARY:Physics Colloquium
DESCRIPTION:Abstract: Even in the absence of photons\, quantum fluctuations of the electromagnetic are predicted to exist within the framework of quantum field theory. The so-called Casimir effect\, which refers to the attractive force between two metallic plates\, is typically attributed to the existence of the same quantum fluctuations. In this talk\, I will give a brief introduction to the concept of decoherence\, and the role it plays in explaining the quantum-to-classical transition of the macroscopic world. I will then suggest possible ways to measure decoherence effects due to the quantum vacuum fluctuations of the electromagnetic field. The eventual experimental detection of this decoherence effect might offer to provide new ways to test other subtle predictions of quantum field theory. \nAbout the Speaker: Dr. Anirudh Gundhi is a postdoctoral researcher at the University of Trieste\, Italy\, from where he also obtained his Ph.D. degree. He is currently studying open quantum systems and quantum foundations (https://inspirehep.net/authors/1804727). Anirudh's other research interests include inflationary cosmology\, on which he wrote his master thesis as part of the Bonn-Cologne Graduate School of Physics and Astronomy\, Germany. He went there after obtaining my bachelor's degree from St. Stephen's College\, University of Delhi. \nWe look forward to your active participation.
URL:https://www.ashoka.edu.in/event/physics-colloquium/
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251001T133000
DTEND;TZID=Asia/Kolkata:20251001T144500
DTSTAMP:20250929T030319Z
CREATED:20250929T005954Z
LAST-MODIFIED:20250929T030319Z
UID:83526-1759325400-1759329900@www.ashoka.edu.in
SUMMARY:CS Colloquium| AI : A Causal Approach
DESCRIPTION:Abstract: We shall look at AI going beyond correlation based  machine learning. We shall examine the framework proposed for the development of  causal intelligent systems. Causal AI provides a distinct  approach to address problems in different domains. This talk will examine how causal AI enables us to develop new approaches for solving problems in the areas of document image analysis\, medical computing\, and business analytics to construct robust and explainable solutions. \nAbout the Speaker: Santanu Chaudhury is a Professor in the Department of Electrical Engineering at IIT Delhi and Vice-President (Project) in Indian National Academy of Engineering. He did his B.Tech (1984) in Electronics and Electrical Communication Engg and Ph.D (1989) in Computer Science and Engg. from I.I.T\, Kharagpur\, India. He had been Director\, IIT Jodhpur and Director CSIR-Central Electronics Research Institute. He was also Dean\, Undergraduate Studies at IIT Delhi. He held a number  of Chair Professor positions at IIT Delhi. \nHe was awarded INSA medal for young scientists in 1993. He is a fellow of Indian National Academy of Engineers (INAE)\, The National  Academy of Sciences (NASI) and  International Association of Pattern Recognition (IAPR)\, Asia-Pacific Artificial Intelligence Association (AAIA). He is also a recipient of Distinguished Alumni Award of IIT Kharagpur.  \nHe has more than 350 publications in reputed Journals and conference proceedings and  15 patents with technologies commercialised by global industries. His areas of interests are Computer Vision\, Artificial Intelligence\, AI Applications\, Digital Heritage\, AR-VR &Multi-sensory media. \nWe look forward to your active participation.
URL:https://www.ashoka.edu.in/event/cs-colloquium-ai-a-causal-approach/
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251001T134000
DTEND;TZID=Asia/Kolkata:20251001T145000
DTSTAMP:20250930T232902Z
CREATED:20250930T232749Z
LAST-MODIFIED:20250930T232902Z
UID:83895-1759326000-1759330200@www.ashoka.edu.in
SUMMARY:Happening Today |Economics Department | Weekly Seminars
DESCRIPTION:Dear All\, \nThe Department of Economics invites you to their weekly seminar on Wednesday\, October 01\, 2025. \nTime: 1:40 PM to 2:50 PM \nMode: Online:  \nZoom Link:  https://zoom.us/j/99985950748?pwd=IkqWKwUD8inYbY0aTRWV22jRn4Kdmn.1 \nSpeaker: Paul Jackson \nTitle: Uncertainty\, Learning\, and the Unemployment-Education Gap Over the Life Cycle \nAbstract: We propose that college graduates enter the labor market with less uncertainty regarding which career they are most productive in\, and study how this characteristic contributes to the unemployment-education gap. We document several novel facts to support our hypothesis. Notably\, college graduates predict their occupation more accurately than those without a college degree. We then develop and calibrate a life cycle search model featuring differences in uncertainty by education and learning about one’s best career fit. Our quantitative analysis suggests large disparities in uncertainty by education\, and that such differences can explain a sizeable portion of the unemployment-education gap. \n  \nThanks & Regards\, \nManish
URL:https://www.ashoka.edu.in/event/happening-today-economics-department-weekly-seminars/
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251001T164500
DTEND;TZID=Asia/Kolkata:20251001T181500
DTSTAMP:20250922T044304Z
CREATED:20250920T224207Z
LAST-MODIFIED:20250922T044304Z
UID:82846-1759337100-1759342500@www.ashoka.edu.in
SUMMARY:Amit Deshpande -Microsoft Research
DESCRIPTION:Colloquium announcement\n"Randomization: a friend or a foe in fair AI/ML?"\nby Amit Deshpande \n \nResearcher\, Microsoft \nAmit Deshpande studied mathematics and theoretical computer science at Chennai Mathematical Institute (CMI) and Massachusetts Institute of Technology (MIT). He joined Microsoft Research India after graduation and continues to work there. His current interests lie in responsible AI\, more specifically\, in fixing data bias and plumbing AI/ML pipelines. Abstract: AI/ML systems routinely classify and rank data\, products\, media\, even people. Allowing randomized or stochastic decisions is even more contentious. On the one hand\, we toss a coin to break ties fairly all the time. On the other hand\, even a fair coin toss discriminates between similar individuals for no valid reason. In this talk\, we will debate some provable benefits and drawbacks of randomization in fair classification and ranking. For example\, can a randomized fair classifier give better accuracy than a deterministic fair classifier? Is a randomized fair classifier more robust to data shift than a deterministic fair classifier? Can a randomized ranker maximize ranking utility while allowing fair representation of two demographic groups in the top ranks\, not just in expectation but in every output?\nDate: Wednesday\, Oct 01\, 2025Time: 5:00 PM – 6:00 PMVenue: Ramachandra Hall\, AC-05 Lab-004For details: ashoka-cdlds@ashoka.edu.inor call: +91-9136857558Registration and Zoom Link: https://www.ashoka.edu.in/event/scdlds-coll05Website: https://cdlds.ashoka.edu.in/\n\n 
URL:https://www.ashoka.edu.in/event/amit-deshpande-microsoft-research/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251001T170000
DTEND;TZID=Asia/Kolkata:20251001T180000
DTSTAMP:20250929T050024Z
CREATED:20250921T160205Z
LAST-MODIFIED:20250929T050024Z
UID:82838-1759338000-1759341600@www.ashoka.edu.in
SUMMARY:Randomization: a friend or a foe in fair AI/ML? - Amit Deshpande
DESCRIPTION:Colloquium announcement\n“Randomization: a friend or a foe in fair AI/ML?”\nby Amit Deshpande \n \nResearcher\, Microsoft \n\nAmit Deshpande studied mathematics and theoretical computer science at Chennai Mathematical Institute (CMI) and Massachusetts Institute of Technology (MIT). He joined Microsoft Research India after graduation and continues to work there. His current interests lie in responsible AI\, more specifically\, in fixing data bias and plumbing AI/ML pipelines. \nAbstract: AI/ML systems routinely classify and rank data\, products\, media\, even people. Allowing randomized or stochastic decisions is even more contentious. On the one hand\, we toss a coin to break ties fairly all the time. On the other hand\, even a fair coin toss discriminates between similar individuals for no valid reason. In this talk\, we will debate some provable benefits and drawbacks of randomization in fair classification and ranking. For example\, can a randomized fair classifier give better accuracy than a deterministic fair classifier? Is a randomized fair classifier more robust to data shift than a deterministic fair classifier? Can a randomized ranker maximize ranking utility while allowing fair representation of two demographic groups in the top ranks\, not just in expectation but in every output? \n\nDate: Wednesday\, Oct 01\, 2025Time: 5:00 PM – 6:00 PMVenue: Ramachandra Hall\, AC-05 Lab-004For details: ashoka-cdlds@ashoka.edu.inor call: +91-9136857558Registration: https://forms.gle/UNshw7xVaNCBos766\nZoom link: https://zoom.us/j/91268118486?pwd=f6N9AjEQLSuYzn1BiSActxj5utM0RT.1\nWebsite: https://cdlds.ashoka.edu.in/\n\n 
URL:https://www.ashoka.edu.in/event/scdlds-coll05/
LOCATION:AC-05 Ramachandran Hall
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ORGANIZER;CN="SCDLDS":MAILTO:ashoka-cdlds@ashoka.edu.in
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