Emerging Technologies in Preventing Landslides and Flash Flood

CALL FOR PARTICIPANTS TO WORKSHOP ON

Emerging Technologies in Preventing Landslides and Flash Flood

This workshop is supported by a Department for the Economy (DfE) – Global Challenge Research Fund (GCRF) for a project entitled “Big Data at the Heart of Preventing Landslides and Flash Floods in the Vietnam Mountainous Region”.

We are pleased to hold a workshop on the above theme which will be in conjunction with the International Conference on Sustainable Agriculture and Environment 2020 (SAE 2020) at Nong Lam University, Ho Chi Minh City, Vietnam on Nov. 18, 2020. The workshop is being coordinated by Prof. Trung Q. Duong (Queen’s University Belfast, Belfast, UK) and Dr. Nguyen-Son Vo (Duy Tan University), and Prof. Loi Kim Nguyen (Nong Lam University, Ho Chi Minh City, Vietnam), and will have contributions from other leading researchers. We are now inviting researchers from Vietnam to apply to attend this workshop. In addition, we also would like to welcome attendants from NGOs, government agencies, industry and other civil society organisations.

In Vietnam, landslides and flash floods are major natural disasters that have caused severe damage to people and property in northern mountainous provinces, central, and central highlands of Vietnam. More than 250 landslides and flash floods occurred between 2000 and 2015, causing 779 fatalities; 426 injuries; 100,000 houses were destroyed; more than 75,000 hectares of rice and crops lost; and many transportation and irrigation systems damaged. Economic losses were estimated at billions of USD. In 2017, due to these hazards, 71 people died or were missing, 4109 houses collapsed, and 13,246 households swept away in the northern mountainous areas alone [National Report, 2017].

It is estimated that approximately 70% of Vietnam population are exposed to the risks of flooding, flash flood and landslides [WHO]. It is even more serious for people living in the mountainous areas due to the lack of communications and undeveloped road infrastructure. During these major disasters communication networks are vital in early hours of rescue. Short-term solutions such as IoT platforms and telecommunications networks have emerged and been tested in mountainous areas in Vietnam, but are point solutions with limited coverage, and not applicable in wide disaster-prone and isolated rural areas with difficult terrains. There is a strong case to develop new approaches together with current IoT technologies in order to overcome these limitations and allow early-warning systems that can minimise the risks.

Big data is doubling in size every two years and reaches 44 zettabytes in 2020. The underlying technology is currently growing at 26.4% per annum (IDC), which is six times the growth rate of the overall ICT market. Big data has been utilised as a very powerful tool and new technology to enable the realisation of innovative ubiquitous and trusted applications for the public, from smart digital environment to smart health management. Although significant advances in big data have been achieved in increasing community resilience to disasters and improving environmental monitoring to reduce environmental degradation, the success of these efforts are often limited by restrictions of available big data computing paradigm and a lack of the ability to collect and integrate relevant monitoring data. As a result, turning this growing big data technology into an opportunity for societal, environmental, and economic impact requires joint efforts from scientists, government, policy makers, stakeholders, and industry.

In the SAE 2020, the workshop will cover the research themes in emerging applications and technologies of big data, IoT, B5G networks, and AI with a focus on how these themes can be diffused into the management of disasters such as landslides and flash floods, which are the critical issues affecting social-economic development and well-being in Vietnam mountainous provinces. The topics include (but are not limited to) big data science; IoT system and B5G network architecture; and artificial intelligence in the context of landslides and flash floods.

Important dates

  • Deadline for receiving abstract: July 30, 2020
  • Notice of abstract results: August 10, 2020
  • Deadline for submitting full text articles for Proceedings with ISBN: September 10, 2020
  • Announcement of full text results: October 20, 2020
  • Workshop date: November 18, 2020

Paper Submission

The summary will be sent via the Easychair website at the link:

https://easychair.org/conferences/?conf=sae2020

Receive full papers via email: sae2020@hcmuaf.edu.vn

For more information, please visit: http://sae2020.hcmuaf.edu.vn/post-l4.html

Venue and Accommodation

Nong Lam University is allocated in Linh Trung Ward, Thu Duc district, Ho Chi Minh City, Vietnam. If you are coming to Ho Chi Minh City by plane, you will arrive at Tan Son Nhat International Airport. You will then need to make your way to conference venue. You can go to Nong Lam University by bus. It takes around 90 minutes from Tan Son Nhat International Airport. You take No. 152 air-con airport bus to Ben Thanh Market and then take bus No. 93 to Nong Lam University.

  • Working Time : 06:00 ~ 18:30
  • Running Frequency : Every 25 or 50 minutes
  • Bus Stop : Airport Bus Stop on the 1st Floor of Airport
  • Ticket price is 6.000 VND (approx. US$ 0.3)
  • Terminal stop – Ben Thanh Market (Center of Ho Chi Minh city, Bus 152), Ben Thanh Market – Nong Lam University (Bus 93)

Alternatively, you can take taxi. Taxis from the airport to the city center take 30 minutes and cost US$ 15-20. (Vinasun Taxi – Phone: +84 (028) 3827 7178; Mai Linh Taxi – Phone: +84 (028) 3838 3838). You also take a Uber/GrabTaxi to city centre or the conference venue.

In addition, if you want to look for hotels located in Thu Duc District, you can browse the links below to find a hotel that suits for you.

1) Star 39 Hotel

2) 126 Hotel

  •      126 Hotel is the same system with Star 39 Hotel
  •      Address: 126 Nguyen Van Ba Street, Thu Duc District, Ho Chi Minh City, Vietnam
  •      Tel: +84 (028) 37 22 86 39

3) Thu Duc Hotel

  • Thu Duc Hotel is the same system with Star 39 Hotel
  • Address: 186 Nguyen Van Ba Street, Thu Duc District, Ho Chi Minh City, Vietnam
  • Tel: +84 (028)  38 96 65 69

4) 177 Hotel

  • 177 Hotel located on the back Star 39 Hotel
  • Address: 01 Nguyen Cong Tru, Thu Duc District, Ho Chi Minh City, Vietnam
  • Tel: +84 (028) 38 96 00 95

5) Viet Thang Hotel

  • Address: Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam
  • Tel: +84 (028) 37 22 58 86
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