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X-WR-CALDESC:Events for Ashoka University
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DTSTART:20250101T000000
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DTSTART;TZID=Asia/Kolkata:20260505T160000
DTEND;TZID=Asia/Kolkata:20260505T170000
DTSTAMP:20260505T040045Z
CREATED:20260505T040045Z
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UID:92954-1777996800-1778000400@www.ashoka.edu.in
SUMMARY:Interact with SOAS: Meet Professors and Management
DESCRIPTION:
URL:https://www.ashoka.edu.in/event/interact-with-soas-meet-professors-and-management/
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DTSTART;TZID=Asia/Kolkata:20260505T163000
DTEND;TZID=Asia/Kolkata:20260505T193000
DTSTAMP:20260505T040609Z
CREATED:20260429T193056Z
LAST-MODIFIED:20260505T040609Z
UID:92736-1777998600-1778009400@www.ashoka.edu.in
SUMMARY:Fire\, Herbivory\, and Tree-Grass Systems during the Holocene in the Core Monsoon Zone\, India:
DESCRIPTION:Dear All\, \nThe Department of Environmental Studies cordially invites you to a Ph.D. Candidacy Presentation (OQE) on \nDate:  5th May 2026\, Tuesday \nTime: 4:30 PM – 6:30 PM \nVenue: Ramachandra Hall\, Ground Floor\, AC05  \nTitle: Fire\, Herbivory\, and Tree-Grass Systems during the Holocene in the Core Monsoon Zone\, India: Insights from Biophysical Data and Indigenous Knowledge \nSpeaker: Jishnu Borgohain\, PhD Scholar Environmental Studies Department \n  \nAbstract: While ecosystems are influenced by both biophysical and anthropogenic factors and vary over long time scales\, ecological datasets often span only a few decades. Given this short time scale\, it remains difficult to disentangle the full range of ecological variability. Although ecological studies have long recognised human-environment interactions\, there is limited understanding of the long-term influence of human activities on ecosystems. Given this context\, whether ecosystems are solely influenced by biophysical factors or whether human activity has also co-created the landscape remains contested. This project uses palaeoecology to understand the ecosystem\, its dynamics\, and the role of human activity in co-creating the Central Indian landscape (Core Monsoon Zone) across the Holocene. Simultaneously\, drawing on anthropology\, this project employs systematic reviews and ethnographic methods to explore the worldviews and knowledge systems through which Adivasi communities characterise and use fire as well as perform grazing practices that may influence the local vegetation. In doing so\, the dissertation aims to highlight the importance of an interdisciplinary approach that integrates palaeoecological and anthropological data\, without arguing for historical continuity\, to foster a critical understanding of the environment and to inform environmental stewardship\, conservation\, and management. \nBio: Jishnu (he/him) is a PhD student working under the supervision of Dr. Meghna Agarwala. For his PhD\, he will investigate long-term human–environment interactions by combining palaeoecological proxies with insights from cultural anthropology. Jishnu holds a master's degree in environmental science from Pondicherry University. Prior to joining as a PhD student\, he worked as a junior research fellow at the Neuroethology Lab at Ashoka University and as a research assistant with Aaranyak (NGO)\, Assam. In his free time\, he enjoys listening to music and doing street photography. \n  \nWe encourage interested students and faculty members to join the talk.  \nWe look forward to your active participation in the talk. \n  \nwarm regards\, \nEnvironmental Studies Department
URL:https://www.ashoka.edu.in/event/fire-herbivory-and-treegrass-systems-during-the-holocene-in-the-core-monsoon-zone-india/
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DTSTART;TZID=Asia/Kolkata:20260505T180000
DTEND;TZID=Asia/Kolkata:20260505T193000
DTSTAMP:20260504T034954Z
CREATED:20260504T034954Z
LAST-MODIFIED:20260504T034954Z
UID:92804-1778004000-1778009400@www.ashoka.edu.in
SUMMARY:Computer Science Seminar: Towards Application-Aware Data Management at the Edge of the Network
DESCRIPTION:Abstract: Edge computing confronts a massive data surge from edge-native applications like AR/VR\, autonomous vehicles\, and remote healthcare. The inherent limitations at the edge such as resource heterogeneity\, network instability and inelasticity\, make it difficult to deploy traditional cloud solutions to manage this data surge. The insight that application awareness is fundamental to handling resources for edge-native applications is the core of my research focus. Towards this\, I have introduced four complementary data management techniques: (1) Cargo\, a fault tolerant\, SLO performance aware storage layer coupled with an edge computing framework (Armada) for heterogeneous edge environments; (2) A novel spatial-awareness based data placement and dynamic storage redundancy strategy for faster data delivery for edge-native applications; (3) ASTRA\, a prefetching framework for mobile AR that leverages object associations\, AR specific features\, spatial/temporal relevance to achieve high cache hit rates; (4) Viveka\, a context aware sensing framework for improving energy efficiency and reducing data generation on smart wearables while ensuring minimal impact on application accuracy. My immediate work will focus on extending the Viveka framework for remote health monitoring and exploring strategies to improve data imputation for data sensed from IoT devices. Looking towards the future\, I plan to use the techniques identified in the current research to improve energy efficiency for autonomous vehicles\, which can be considered a cluster of sensors. \nAbout the Speaker: Nikhil Sreekumar is a Systems Scientist at Qen Labs Inc\, USA. His research focuses on energy efficiency and data management\, specifically how to use context awareness to manage the data deluge and improve the energy efficiency of smart wearables at the network's edge while ensuring application SLO requirements are met. He earned his PhD in Computer Science from the University of Minnesota\, USA\, under the guidance of Dr. Abhishek Chandra and Dr. Jon Weissman. His research explored application-aware data management at the edge. Nikhil's work has been published in leading conferences such as ACM SEC\, IEEE ICDCS\, IEEE IPDPS\, IEEE IC2E\, IEEE Big Data and has received support from the NSF and the US DoD. His work on AR object prefetching\, ASTRA\, was awarded the Best Research Paper at IEEE IC2E 2025. Prior to his current role\, Nikhil worked as a Software Developer at MathWorks\, where he contributed to the HDL and MATLAB Coder infrastructure. His current interests include Energy efficient smart wearables for remote health monitoring\, Data management for edge-native applications and HPC sanitization for AI workloads.
URL:https://www.ashoka.edu.in/event/computer-science-seminar-towards-applicationaware-data-management-at-the-edge-of-the-network/
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