Data & Design Lab
Research Focus
Connectivity
Education & ICT
Energy
Society & Economy
Sustainable City
Recent News
Dr. Zaber is contributing to The Daily Star’s column titled “Man and Machine”. The first article “Jumpstart with AI: What should be our first step?” has been published. You can read it online using the link below.
https://www.thedailystar.net/opinion/news/man-and-machine-2039861
(Image retrieved from The Daily Star)
Four new publications from Data and Design Lab!
First, the paper “Deep-learning coupled with novel classification method to classify the urban environment of the developing world” has been successfully presented at the second International Conference on Signal Processing and Machine Learning (SIGML) on January 23, 2021. You can accessed the paper from the AirCC site with this link.
Second, “Innovations in Teaching and Learning in Distance Mode during COVID-19 in Sri Lanka and Bangladesh” has been published in the National Conference on COVID 19: Impact, mitigation, opportunities and building resilience on January 21, 2021.
Third, “Just-in-Time Educational Aid to Deliver Instant Help for Students in Developing Countries” has been published in the journal of Recent Trends in Information Technology and its Application- HBPR publication on December 2020.
Fourth, “Understanding the responsiveness of local-level e-Governance platforms of Bangladesh” has been published in the 13th International Conference on Theory and Practice of Electronic Governance (ICEGOV) on October 2020.
Dr. Zaber will be presenting at the PTC’21 telecom conference about “The Future of Mobile: Regulatory Challenges, Competition, and Customer Needs and Demand”. See the program details here.
The online platform can be accessed using the link below.
https://www.ptc.org/ptc21/online-platform/
Dr. Moinul Zaber will be speaking in the “Spectrum Policy for Developing Digital Economy in Indonesia” webinar hosted by LPEM FEB of Universitas Indonesia.
The webinar will be held at 9 AM on 29 December 2020 (Jakarta time). Registered users can watch it live on Zoom and will get a free e-certificate.
Dr. Judy Backhouse and Dr. Moinul Zaber has published an article “Really Smart Cities ignore smart city rankings” on UNU-EGOV site. The article focuses on IMD Smart City Index 2020 and why it is okay if your beloved city did not rank high in the index.
The article is also available on The Daily Star.
Dr. Moinul Zaber spoke about the reality and risks of AI in the ISSA European Network Webinar: Artificial intelligence for social security institutions on September 22, 2020.
UPDATE: Here’s the article to the presentation summary, posted in ISSA News on October 28, 2020.
The Daily Star has published an article “Policies without proper data are doomed to fail” by Dr. Amin Masud Ali and Dr. Moinul Zaber on July 22, 2020.
Dr. Moinul Zaber presented a keynote speech on Data and Design Lab’s recent works for energy policy at the Big Data and Power Management seminar organised by Bangladesh Energy Policy Research Council (BEPRC) on July 7, 2020. The seminar was presided over the Honorable Energy Advisor Dr. Tawfiq-e-Elahi Chowdhury, Honorable State Minister of Energy Nasrul Hamid and secretaries of high officials of energy ministries were present at the online seminar.
The focus of the keynote was the use of non-traditional data sources merging with traditional data sources to understand socioeconomic development and energy use of Bangladesh.
The presentation was based on our recent work on use of Nighttime lights data and household level electricity usage to understand people continously at disaggregated spatial spread.
Source: News from the Ministry of Power, Energy and Mineral resources, BD.
Dr. Diogo Gonçalves and Dr. Moinul Zaber discuss the strategies to flatten the curve in (special edition on CoVID 19) of United Nations university newsletter “Insight” on April 15, 2020.
Dr. Ibrahim Kholilul Rohman, Dr. Hasib Ahsan and Dr. Moinul Zaber discusses the need for effective communication for regulations in The Jakarta Post on May 19, 2020.
Three papers from our lab have been accepted by IEEE Region 10 Symposium TENSYMP 2020.
- A Complex Network Analysis of Inland Waterways Network of Bangladesh
- What Can Nighttime Lights Tell Us about Bangladesh?
- Does Electric Prepaid Meters Decrease Payment Delinquency? Evidence from Data Centric Analysis of Electricity Consumption in Dhaka, Bangladesh
Congratulations to Firoza Tabassum, Humaira Islam, Muntasir Wahed, Redwan Ahmed Rizvee, Riddho Ridwanul Haque and Shourav Bin Rabbani.
Dr Ibrahim Kholilul Rohman & Dr Moinul Zaber express their views on decision making priorities for the COVID-19 on Jakarta Post. Read the full article here.
Data & Design Lab has collaborated with BRAC Technology to create a disaster management tool in response to covid-19. The tool will help BRAC and numerous other organizations monitor and plan aid activities. See the site in action at urbanslummap.brac.net.
Dr. Moinul Zaber talked about use of BigData in policy making and career at CA Bhabon on 16th January, 2020. For details click here
Dr. Moinul Zaber talked about Indonesian broadcasters in The Jakarta Post. Click here to read more.
Md Abu Sayed attended an invited talk in EdTech Asia Summit 2019 at Singapore on 1-2 August, 2019 to present Education Research of Data & Design Lab.
Recent Works
Sayed, M. A., & Zaber, M. I. (2020). Just-in-Time Educational Aid to Deliver Instant Help for Students in Developing Countries. Recent Trends in Information Technology and its Application, 3(3).
A well-structured inland waterways system should help Bangladesh fulfill SDG goals. In this study, we employ complex network analysis methods to analyze the river-port network of the country. We ascertain different types of ports based on their importance and placement in the connectivity network. Data regarding port location, vessel routes, and schedules were collected from governmental resources. Using the data, a connectivity network was built for further analysis. Different measures of network analysis are used to categorize the ports and the network model has been identified. These categories should help transportation planners and policymakers to better design the inland waterways network of Bangladesh.
Cheng, Q., Rahman, A. K. M., Sarker, A., Nayem, A. B. S., Paul, O., Ali, A. A., … & Zaber, M. (2020). Deep-learning coupled with novel classification method to classify the urban environment of the developing world, SIGML, 2021.
A well-structured inland waterways system should help Bangladesh fulfill SDG goals. In this study, we employ complex network analysis methods to analyze the river-port network of the country. We ascertain different types of ports based on their importance and placement in the connectivity network. Data regarding port location, vessel routes, and schedules were collected from governmental resources. Using the data, a connectivity network was built for further analysis. Different measures of network analysis are used to categorize the ports and the network model has been identified. These categories should help transportation planners and policymakers to better design the inland waterways network of Bangladesh.
F. Tabassum, H. Islam, A. A. Ali and M. Zaber, “A Complex Network Analysis of Inland Waterways Port Connectivity of Bangladesh,” in IEEE Region 10 Symposium (TENSYMP), Dhaka, 2020.
A well-structured inland waterways system should help Bangladesh fulfill SDG goals. In this study, we employ complex network analysis methods to analyze the river-port network of the country. We ascertain different types of ports based on their importance and placement in the connectivity network. Data regarding port location, vessel routes, and schedules were collected from governmental resources. Using the data, a connectivity network was built for further analysis. Different measures of network analysis are used to categorize the ports and the network model has been identified. These categories should help transportation planners and policymakers to better design the inland waterways network of Bangladesh.
M. Wahed, R. A. Rizvee, R. R. Haque, A. M. Ali, M. Zaber and A. A. Ali, “What Can Nighttime Lights Tell Us about Bangladesh?,” in IEEE Region 10 Symposium (TENSYMP), Dhaka, 2020.
Analyzing the state and growth of various socio-economic indicators is essential for effective developmental planning at a sub-national level. However, in many cases, data regarding such indicators are not publicly available and/or hard to collect. In many other cases, the available data may not be recent enough. In contrast, satellite data is both readily available and up-to-date. In recent times, various studies have been conducted to use different types of satellite data as a proxy to determine the condition of socio-economic indicators in different places around the world. In this paper, we study the efficacy of one such data source, nighttime lights (NTL), for monitoring factors related to sustainable development in the context of Bangladesh.
S. B. Rabbani, A. A. Ali and M. Zaber, “Does Electric Prepaid Meters Decrease Payment Delinquency? Evidence from Data Centric Analysis of Electricity Consumption in Dhaka, Bangladesh,” in IEEE Region 10 Symposium (TENSYMP), Dhaka, 2020.
Prepaid electricity meters are favored by power distribution companies to improve revenue collection, debt prevention and ensure customer satisfaction. In this paper, we investigate changes in bill payments pattern of customers in Dhaka, Bangladesh who had switched from post to pre-payment meters. We collected postpaid bill and prepaid recharge payment data over there years. We specifically look into payment behavior of residential household customers to understand the effect of prepaid meters on payment delinquency. Analysis of postpaid bill indicate that at least 32% households skipped paying one or more bills over a period of one year. Households consuming 100-300 KWH accounts for almost 51% of the total delinquent households. After prepaid switch, approximately 46% of all households are making prepayments every month. 52% of households who skip paying bill and 45% of households who pay bill after due date, at least once, are now recharging every month. Overall the technological intervention shows considerable reduction of retail debts and a behavioral shift towards on time payment.