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X-WR-CALNAME:SRMAP Events
X-ORIGINAL-URL:https://events.srmap.edu.in
X-WR-CALDESC:Events for SRMAP Events
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BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20220101T000000
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END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230728T000000
DTEND;TZID=Asia/Kolkata:20231024T000000
DTSTAMP:20260427T015133
CREATED:20250526T081250Z
LAST-MODIFIED:20250914T112627Z
UID:141336-1690502400-1698105600@events.srmap.edu.in
SUMMARY:Valorization of waste resources and its applications in water pollutant removal
DESCRIPTION:The Institution of Engineers\nTitle of the talk: Valorization of waste resources and its applications in water pollutant removal\nOrganizing Institution: T K M College of Engineering\, Kollam\, Kerala \nInternational Summer Course\nTitle of the talk: Bamboo based carbon for the removal of water pollutants\nOrganizing Institution: Universitas Sumatera Utara\, Indonesia \nDepartment Lecture Series\nTitle of the talk: Potential role of algae in sustainable development\nOrganizing Institution: Universitas Sumatera Utara\, Indonesia
URL:https://events.srmap.edu.in/event/valorization-of-waste-resources-and-its-applications-in-water-pollutant-removal/
CATEGORIES:Events
ATTACH;FMTTYPE=image/jpeg:https://events.srmap.edu.in/wp-content/uploads/2023/06/Dr-Rangabhashiyam1-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230803T150000
DTEND;TZID=Asia/Kolkata:20230803T150000
DTSTAMP:20260427T015133
CREATED:20250526T070318Z
LAST-MODIFIED:20250526T070318Z
UID:141136-1691074800-1691074800@events.srmap.edu.in
SUMMARY:Electronic and Magnetic Properties: Studies of Correlated Topological Kagome Antiferromagnets
DESCRIPTION:Affiliation: S N Bose National Centre for Basic Sciences\, Kolkata
URL:https://events.srmap.edu.in/event/electronic-and-magnetic-properties-studies-of-correlated-topological-kagome-antiferromagnets/
CATEGORIES:Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230810T093000
DTEND;TZID=Asia/Kolkata:20230810T093000
DTSTAMP:20260427T015133
CREATED:20250526T061004Z
LAST-MODIFIED:20250725T122234Z
UID:140926-1691659800-1691659800@events.srmap.edu.in
SUMMARY:Dr Nishant Sharma delivered a talk titled\, Seismic Soil-Structure Interaction in Reinforced Concrete Buildings with Pile Foundations: Unraveling the Complexity
DESCRIPTION:Organising Institution: National Institute of Technology Meghalaya.\nType: One-Week Short-Term Course ( Online )\nBrochure: Announcement
URL:https://events.srmap.edu.in/event/dr-nishant-sharma-delivered-a-talk-titled-seismic-soil-structure-interaction-in-reinforced-concrete-buildings-with-pile-foundations-unraveling-the-complexity/
CATEGORIES:Events
ATTACH;FMTTYPE=image/jpeg:https://events.srmap.edu.in/wp-content/uploads/2022/09/Nishant1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230818T190000
DTEND;TZID=Asia/Kolkata:20230818T200000
DTSTAMP:20260427T015133
CREATED:20230818T001600Z
LAST-MODIFIED:20250806T120024Z
UID:142279-1692385200-1692388800@events.srmap.edu.in
SUMMARY:Explore A Semester at University of Portsmouth
DESCRIPTION:SRM University-AP has always proffered vital importance to semester abroad programmes providing students with remarkable opportunities to pursue part of their academics at international universities of repute. Students receive international exposure in their chosen field of study as well as developing global networks with faculty\, scholars and students from around the world. \nThe Directorate of International Relations and Higher Studies is organising a webinar titled “Exploring Spring 2024: Semester Abroad Opportunities at the University of Portsmouth” on August 18\, 2023. Ms Joanna Paraskelidis\, Global Mobility Manager\, University of Portsmouth\, UK will be the speaker for the session. The University of Portsmouth is among the 30 universities from around the world that will be delivering insightful sessions on the Semester Abroad Programmes organised in association with SRM University-AP.
URL:https://events.srmap.edu.in/event/explore-a-semester-at-university-of-portsmouth/
LOCATION:Zoom
CATEGORIES:Departmental Events,Events,IR-Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230825T000000
DTEND;TZID=Asia/Kolkata:20230825T000000
DTSTAMP:20260427T015133
CREATED:20250524T064706Z
LAST-MODIFIED:20250524T064706Z
UID:140636-1692921600-1692921600@events.srmap.edu.in
SUMMARY:Dr Ramesh Vaddi\, Dr Rupesh\, Dr Durga Prakash presented DST FIST Presentation at BIT Jaipur
DESCRIPTION:Organising Institution: BIT JaipurCategory: Invited Talk
URL:https://events.srmap.edu.in/event/dr-ramesh-vaddi-dr-rupesh-dr-durga-prakash-presented-dst-fist-presentation-at-bit-jaipur/
CATEGORIES:Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230826T000000
DTEND;TZID=Asia/Kolkata:20230826T000000
DTSTAMP:20260427T015133
CREATED:20250524T064706Z
LAST-MODIFIED:20250524T064706Z
UID:140635-1693008000-1693008000@events.srmap.edu.in
SUMMARY:Dr K.A. Sunitha\, Dr Maheswar Dwivedi presented Biomedical Research happening at SRM University-AP at SRM Medical Hospital and Research Centre
DESCRIPTION:Organising Institution: SRM Medical Hospital and Research CentreCategory: Invited Talk
URL:https://events.srmap.edu.in/event/dr-k-a-sunitha-dr-maheswar-dwivedi-presented-biomedical-research-happening-at-srm-university-ap-at-srm-medical-hospital-and-research-centre/
CATEGORIES:Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230830T150000
DTEND;TZID=Asia/Kolkata:20230830T150000
DTSTAMP:20260427T015133
CREATED:20250526T070715Z
LAST-MODIFIED:20260303T080259Z
UID:140590-1693407600-1693407600@events.srmap.edu.in
SUMMARY:A Machine Learning Framework for Knowledge Discovery
DESCRIPTION:Affiliation:IISc\, Bangalore
URL:https://events.srmap.edu.in/event/a-machine-learning-framework-for-knowledge-discovery/
CATEGORIES:Events
ATTACH;FMTTYPE=image/jpeg:https://events.srmap.edu.in/wp-content/uploads/2025/05/A-Machine-Learning-Framework-for-Knowledge-Discovery-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20230830T150000
DTEND;TZID=Asia/Kolkata:20230830T173000
DTSTAMP:20260427T015133
CREATED:20230828T055200Z
LAST-MODIFIED:20230828T055200Z
UID:142144-1693407600-1693416600@events.srmap.edu.in
SUMMARY:Prof. Abhishek Singh on Machine Learning Techniques in Material Sciences.
DESCRIPTION:The Department of Physics is organising the ninth session of its Eminent Guest Lecture Series: An Odyssey of Physics on the topic “A Machine Learning Framework for Knowledge Discovery” on August 30\, 2023. The session will be delivered by Prof. Abhishek Singh\, Indian Institute of Science\, Bengaluru. He will discuss the application of ML in establishing the complex structure-property relations in alloys. \nJoin the talk for an insight session on Machine Learning in Material Sciences! \nAbstract \nData-driven machine learning methods in materials science are emerging as one of the promising tools for expanding the discovery domain of materials to unravel useful knowledge. In this talk\, the power of these methods will be illustrated by covering two major aspects\, namely\, the development of prediction models and the establishment of hidden connections. For the first aspect\, we have developed accurate prediction models for various computationally expensive physical properties such as band gap\, band edges and lattice thermal conductivity. The prediction model for band gap and band edges is developed on a 2D family of materials -MXene\, which are very promising for a wide range of electronic to energy applications\, which rely on accurate estimation of band gap and band edges. These models are developed with GW-level accuracy and hence can accelerate the screening of desired materials by estimating the band gaps and band edges in a matter of minutes. For the lattice thermal conductivity prediction model\, an exhaustive database of bulk materials is prepared. By employing the high-throughput approach\, several ultra-low and ultra-high lattice thermal conductivity compounds are predicted. The property map is generated from the high-throughput approach\, and four simple features directly related to the physics of lattice thermal conductivity are proposed. The performance of the model is far superior to the physics-based Slack model\, highlighting the simplicity and power of the proposed machine learning models. For the second aspect\, we have connected the otherwise independent electronic and thermal transport properties. \nThe role of bonding attributes in establishing this relationship is unravelled by machine learning. An accurate machine learning model for thermal transport properties is proposed\, where electronic transport and bonding characteristics are employed as descriptors.
URL:https://events.srmap.edu.in/event/prof-abhishek-singh-on-machine-learning-techniques-in-material-sciences/
LOCATION:Tiered Classroom\, 5th Floor\, Admin Block
CATEGORIES:Departmental Events,Events,Physics
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