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6 2023-10

IOTSC Distinguished Visiting Scholar Series: Stochastic Cumulative DNN Inference for Intelligent IoT Applications

2023-11-06T00:01:08+08:00

Dear Colleagues and Students,

The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “UM Distinguished Visiting Scholar Series” on 09/10/2023 (Monday). We are pleased to invite Professor of University of Waterloo, Prof. Weihua ZHUANG, as the speaker.

Stochastic Cumulative DNN Inference for Intelligent IoT Applications

Speaker: Prof. Weihua ZHUANG, Professor of University of Waterloo

Date: 09/10/2023 (Monday)

Time: 10:30 – 12:00

Language: English

Venue: N21-G013

Abstract:

Artificial intelligence models will continue to be pervasively deployed to support diverse intelligent Internet of Things (IoT) applications in the 5G/6G era. Many such applications rely on deep neural networks (DNN) for object classification. In this presentation, DNN inference uses a pre-trained DNN model to process an input data sample such as raw sensing data, and generates a classification result. We will discuss when to offload DNN inference computation from resource constrained IoT devices to the edge and how to incorporate different contributions from multiple random DNN inference results to improve task classification accuracy, while achieving high transmission, computation, and energy resource utilization.

 

Speaker’s Bio:

Weihua Zhuang is a University Professor and a Tier I Canada Research Chair in Wireless Communication Networks at University of Waterloo, Canada. Her research focuses on network architecture, algorithms and protocols, and service provisioning in future communication systems. She was the Editor-in-Chief of the IEEE Transactions on Vehicular Technology from 2007 to 2013, General Co-Chair of 2021 IEEE/CIC International Conference on Communications in China (ICCC), Technical Program Chair/Co-Chair of 2017/2016 IEEE VTC Fall, and Technical Program Symposia Chair of 2011 IEEE Globecom. She is an elected member of the Board of Governors and the President of the IEEE Vehicular Technology Society. Dr. Zhuang is a Fellow of the IEEE, Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada.

For enquiries: Tel: 8822 8070

Email: mcleong@um.edu.mo

Best Regards,

State Key Laboratory of Internet of Things for Smart City

IOTSC Distinguished Visiting Scholar Series: Stochastic Cumulative DNN Inference for Intelligent IoT Applications2023-11-06T00:01:08+08:00
15 2023-08

IOTSC Distinguished Visiting Scholar Series: AI and Remote Sensing Big Data for Water Cycle and Global Hazards Studies

2023-09-15T00:02:09+08:00

Dear Colleagues and Students,

The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our UM Distinguished Visiting Scholar Series on 16/08/2023 (Wednesday). We are pleased to invite Gallogly Chair Professor of Hydrology and Remote Sensing, Prof. Yang HONG from National Weather Center HyDROS Lab, as the speaker.

AI and Remote Sensing Big Data for Water Cycle and Global  Hazards Studies

Speaker: Prof. Yang HONG, Gallogly Chair Professor of Hydrology and Remote Sensing, Director of National Weather Center HyDROS Lab, Director of OU Hydrology and Water Security Program

Date: 16/08/2023 (Wednesday)
Time: 10:30 – 12:00
Language: English
Venue: E11-G015

Abstract:

This talk first covers AI-based radar/satellite remote sensing big data retrieval/application such as PERSIANN-CCS, iMERG; then present advanced hydrologic model CREST family; and finally discuss global water security including various applications to flood and storm surge operational research in  U.S.A. and China.

Speaker’s Bio:

Hong is the Gallogly Chair Professor in Remote Sensing Hydrology and founding Director of National Weather Center HyDROS Lab (http://hydro.ou.edu).

Dr. Hong’s research interests include hydrological modeling and water resources management, radar/satellite remote sensing and data assimilation systems for improved hazards (e.g. floods, landslide) prediction under a changing climate. Dr. Hong has published more than 300 refereed articles, highly cited 220,000+ with H-Index 78. As Inventor, Dr. Hong has released 11 technologies including satellite algorithms TMPA, PERSIANN-CCS, distributed hydrological model CREST family, iCRESLIDE and the NASA Global Hazard Prediction (flood/landslide) System.

Hong was Chair of AGU Precipitation Committee and UN Advisor for African Climate Council. Hong received NASA Achievement Award: “For significant achievements in systematically promoting and accelerating the use of NASA scientific research results for societal benefits”. Also Receipt of Regents Award for Superior Research and Creative Activities. Hong has affiliated with UC Irvine, NASA/NOAA,  清華/北大, and University of Oklahoma. 

For enquiries: Tel: 8822 8070
Email: mcleong@um.edu.mo

Best Regards,
State Key Laboratory of Internet of Things for Smart City

IOTSC Distinguished Visiting Scholar Series: AI and Remote Sensing Big Data for Water Cycle and Global Hazards Studies2023-09-15T00:02:09+08:00
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