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X-WR-CALNAME:EE
X-ORIGINAL-URL:https://ee.iisc.ac.in
X-WR-CALDESC:Events for EE
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TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
TZOFFSETTO:+0530
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20221021T194500
DTEND;TZID=Asia/Kolkata:20221021T210000
DTSTAMP:20260619T073025
CREATED:20221024T234607Z
LAST-MODIFIED:20221024T234711Z
UID:240071-1666381500-1666386000@ee.iisc.ac.in
SUMMARY:EE and CPS Seminar by Prof. Ketan Savla
DESCRIPTION:Title: Microscopic Traffic Flow Control\nDate: 21 October\nTime: 2:15pm\nVenue: EE MMCR \nAbstract: Design and performance evaluation of traffic control techniques such as ramp metering are typically based on macroscopic traffic flow models. These models\, obtained by spatio-temporal averaging of microscopic vehicle-to-vehicle/infrastructure interactions\, do not have sufficient resolution to model safety\, or to study the impact of emerging paradigms  of autonomy and connectivity. We present coordinated ramp metering algorithms that regulate entry into the freeway network at the vehicle level\, based on information about state of vehicles in the network\, but do not require information about travel demand. Under these algorithms\, each on-ramp operates under cycles during which it does not release more vehicles than its queue size at the beginning of the cycle. \nAdditionally\, the algorithms\, dynamically\, either introduce pause at the end of the cycle\, or modulate the release rate during the cycle\, or modulate safety distance for release during the cycle. Under standard safe vehicle-following and merging protocols\, these algorithms are shown to keep the network undersaturated for maximal travel demand and result in lower travel time than known ramp metering algorithms.Biography of the speaker: Ketan Savla is an associate professor and the John and Dorothy Shea Early Career Chair in Civil Engineering at the University of Southern California. His current research interest is in distributed optimal and robust control\, dynamical networks\, state-dependent queuing systems\, and mechanism design\, with applications in civil infrastructure systems. His recognitions include NSF CAREER\, George S. Axelby Outstanding Paper Award\, and the Donald P. Eckman Award. He serve(d) as an associate editor of the IEEE Transactions on Control of Network Systems\, IEEE Control Systems Letters\, and IEEE Transactions on Intelligent Transportation Systems. He is also a co-founder and the chief science officer of Xtelligent\, Inc.
URL:https://ee.iisc.ac.in/event/ee-and-cps-seminar-by-prof-ketan-savla/
LOCATION:EE\, MMCR
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20221021T213000
DTEND;TZID=Asia/Kolkata:20221021T223000
DTSTAMP:20260619T073025
CREATED:20221020T042250Z
LAST-MODIFIED:20221020T042943Z
UID:240068-1666387800-1666391400@ee.iisc.ac.in
SUMMARY:EE Faculty Colloquium by Prof. A G Ramakrishnan
DESCRIPTION:Title: Analyzing patterns in EEG: from biometrics to altered states of consciousness \nSpeaker: Prof. Ramakrishnan A. G.\, MILE Lab\, Dept of Electrical Engineering\, Indian Institute of Science \nVenue: EE MMCR \nTime: 4pm\, 21 October 2022 \nAbstract: The electrical activity of brain\, the key control organ of our body\, carries a lot of information about our current activity\, health\, mental status and identity. We\, in MILE Lab\, have been focussing for the past few years on analysing the various patterns present in the electroencephalogram (EEG). When someone is in deep sleep\, coma or under anesthesia\, the level of consciousness is lower than that of waking state. When someone has locked-in syndrome\, the level of consciousness is the same as that of waking state. On the other hand\, during meditation\, the consciousness level is higher than that of waking. Hypnosis is another completely different altered state of consciousness. The interrelationship between the different EEG channels is also distinctly different during inhalation\, breath-hold and exhalation. We are studying the patterns in EEG under all the above conditions. While working on the above topics\, we unexpectedly made a discovery that some measures based on the functional connectivity between the channels are distinct for each individual and can very well be used to identify people. Using other measures\, we are also able to predict the word imagined by a person out of a set of words.Speaker bio: Ramakrishnan A. G. is a professor of Electrical Engineering and an associate faculty member at the Centre for Neuroscience. He obtained his Masters in Electrical Engineering and Ph D in Biomedical Engineering from the Indian Institute of Technology\, Madras. He has graduated 19 Ph.D.s\, 16 M.Tech.s by research\, and guided over 100 M. Tech. projects at IISc. He is a Fellow of the Indian National Academy of Engineering\, As the leader of a research consortium\, he was instrumental in creating handwriting recognition technologies for eight Indian languages. He received Manthan award (South East Asia and Asia Pacific) twice for creating audio books for blind students through his OCR and TTS in Tamil and Kannada. His current areas of research include speech recognition in Indic languages\, decoding of imagined words from EEG\, brain functional connectivity analysis in modified states of consciousness and the study of the neural control and physiological mechanisms behind the health and therapeutic effects of deep breathing. For his earlier work on evoked potentials from leprosy patients\, he had received Sir Watt Kay Young Researcher’s Prize from the Royal College of Physicians and Surgeons\, Glasgow. He was a Senior Research Scientist at Hewlett Packard Research Labs\, Bangalore India from May 2002 to August 2003. He is an invited member of the Senate of IIIT-Allahabad\, Prayagraj and the Federation of Indian Chambers of Commerce and Industry – Indian Language Internet Alliance. He was a member of the Knowledge Commission\, Government of Karnataka during 2017-2020. He is also one of the founder directors of RaGaVeRa Indic Technologies private limited recognized by Karnataka Government as one of the Elevate 2019 Startup winners. The Kannada TTS developed by RaGaVeRa has been evaluated to be better in quality than Google’s Wavenet TTS and Nuance’s Kannada TTS. He is also the Advisor-Neuroscience of Feedfront Technologies Pvt Ltd\, Bengaluru.
URL:https://ee.iisc.ac.in/event/ee-faculty-colloquium-by-prof-a-g-ramakrishnan/
LOCATION:EE\, MMCR
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