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University Educator/Researcher
01 May 2021 - 30 August 2021
University Educator/Researcher
01 November 2019 - 01 March 2021
Others
01 April 2019 - 01 October 2019
University Lecturer
01 October 2013 - 01 September 2015
JAWAD HAQBEEN received B.S. and M.S. degrees in computer science from Nangarhar University, Afghanistan and Waseda University, Japan, in 2010 and 2013, respectively. He is currently pursuing his Ph.D. degree in artificial intelligence from Nagoya Institute of Technology, Japan. His main research interests include conversational agents, collective intelligence, crowdsourcing and applying artificial intelligence to civic technologies. He works at the intersection of computational social science and artificial intelligence. He is using natural language processing (NLP), machine learning (ML) and other AI techniques to build conversational agents to engage with crowds and fuel discussion towards agreement.He was the recipient of the NRF Global Young Scientist Summit award in 2021, IBM Award of Research Excellence in PAAMS2020, JST AIP Challenge Program Grant Award in 2020, Best International Conference Paper Award in KICSS2020 and IEEE Nagoya Section International Conference Best Research Presentation Award in 2018. He is a member of IEEE and IPSJ societies.
Artificial Intelligence is revolutionising our communication practices and the ways in which we interact with each other. This revolution does not only impact how we communicate, but it affects the nature of the partners with whom we communicate. Online discussion platforms now allow humans to communicate with artificial agents in the form of socialbots. Such agents have the potential to moderate online discussions and even manipulate and alter public opinions. In this paper, we propose to study this phenomenon using a constructed large-scale agent platform. At the heart of the platform lies an artificial agent that can moderate online discussions using argumentative messages. We investigate the influence of the agent on the evolution of an online debate involving human participants. The agent will dynamically react to their messages by moderating, supporting, or attacking their stances. We conducted two experiments to evaluate the platform while looking at the effects of the conversational agent. The first experiment is a large-scale discussion with 1076 citizens from Afghanistan discussing urban policy-making in the city of Kabul. The goal of the experiment was to increase the citizen involvement in implementing Sustainable Development Goals. The second experiment is a small-scale debate between a group of 16 students about globalisation and taxation in Myanmar. In the first experiment, we found that the agent improved the responsiveness of the participants and increased the number of identified ideas and issues. In the second experiment, we found that the agent polarised the debate by reinforcing the initial stances of the participant.
Rafik Hadfi; Jawad Haqbeen; Sofia Sahab; Takayuki Ito. Argumentative Conversational Agents for Online Discussions. Journal of Systems Science and Systems Engineering 2021, 1 -15.
AMA StyleRafik Hadfi, Jawad Haqbeen, Sofia Sahab, Takayuki Ito. Argumentative Conversational Agents for Online Discussions. Journal of Systems Science and Systems Engineering. 2021; ():1-15.
Chicago/Turabian StyleRafik Hadfi; Jawad Haqbeen; Sofia Sahab; Takayuki Ito. 2021. "Argumentative Conversational Agents for Online Discussions." Journal of Systems Science and Systems Engineering , no. : 1-15.
Planning a city is a systematic process that includes time, space, and groups of people who must communicate. However, due to security problems in such war-ravaged countries as Afghanistan, the traditional forms of public participation in the planning process are untenable. In particular, due to gathering space difficulties and culture issues in Afghanistan, women and religious minorities are restricted from joining male-dominated powerholders’ face-to-face meetings which are nearly always held in fixed places called masjids (religious buildings). Furthermore, conducting such discussions with human facilitation biases the generation of citizen decisions that stimulates an atmosphere of confrontation, causing another decision problem for urban policy-making institutions. Therefore, it is critical to find approaches that not only securely revolutionize participative processes but also provide meaningful and equal public consultation to support interactions among stakeholders to solve their shared problems together. Toward this end, we propose a joint research program, namely, crowd-based communicative and deliberative e-planning (CCDP), a blended approach, which is a mixture of using an artificial-intelligence-led technology, decision-support system called D-Agree and experimental participatory planning in Kabul, Afghanistan. For the sake of real-world implementation, Nagoya Institute of Technology (Japan) and Kabul Municipality (Afghanistan) have formed a novel developed and developing world partnership by using our proposed methodology as an emerging-deliberation mechanism to reframe public participation in urban planning processes. In the proposed program, Kabul municipality agreed to use our methodology when Kabul city needs to make a plan with people. This digital field study presents the first practical example of using online decision support systems in the context of the neighborhood functions of Gozars, which are Kabul’s social and spatial urban units. The main objective was to harness the wisdom of the crowd to innovative suggestions for helping policymakers making strategic development plans for Gozars using open call ideas, and for responding to equal participation and consultation needs, specifically for women and minorities. This article presents valuable insights into the benefits of this combined approach as blended experience for societies and cities that are suffering long-term distress. This initiative has influenced other local Afghan governments, including the cities of Kandahar and Herat as well as the country’s central government’s ministry of urban planning and land, which has officially expressed its intention to collaborate with us.
Jawad Haqbeen; Sofia Sahab; Takayuki Ito; Paola Rizzi. Using Decision Support System to Enable Crowd Identify Neighborhood Issues and Its Solutions for Policy Makers: An Online Experiment at Kabul Municipal Level. Sustainability 2021, 13, 5453 .
AMA StyleJawad Haqbeen, Sofia Sahab, Takayuki Ito, Paola Rizzi. Using Decision Support System to Enable Crowd Identify Neighborhood Issues and Its Solutions for Policy Makers: An Online Experiment at Kabul Municipal Level. Sustainability. 2021; 13 (10):5453.
Chicago/Turabian StyleJawad Haqbeen; Sofia Sahab; Takayuki Ito; Paola Rizzi. 2021. "Using Decision Support System to Enable Crowd Identify Neighborhood Issues and Its Solutions for Policy Makers: An Online Experiment at Kabul Municipal Level." Sustainability 13, no. 10: 5453.
This paper proposes a joint TDMA and CSMA-based traffic Adaptive Intelligent Hybrid Medium Access Control protocol (AI-HMAC) for low-power duty cycle Wireless Sensor Networks (WSNs). The objective of AI-HMAC is to modify the link scheduling and leveraging contention windows mechanism of IH-MAC and smooth the coordination among them by avoiding delay and to efficiently achieve energy consumption. Accordingly, AI-HMAC reintroduces the idea to combines the functionalities of CSMA, TDMA, broadcast scheduling and link scheduling in order to improve throughput and energy efficiency of protocol. It can operate under wide range of data traffic and choosing send/receive mechanism technique according to packet rate and loss with extending energy minimization techniques and bringing down energy consumption. Another advantage of AI-HMAC is to regulating initial contention window according flowing traffic asking rate between nodes in order to achieve high channel utilization under high traffic load without any energy compromising and to minimize certain delay probability that may cause with data collision. AI-HMAC doing this task through applying prioritized back-off scheme to make efficient time adaptive for node idle listening period during Back-off process. It adjusts contention for adapting traffic load with suitable duty cycle length in order to increase energy efficiency. And by leveraging and exploiting the concept of parallel transmission to minimize energy consumption during communication. The mathematical analytical expression of our protocol are presented to compute the energy consumption efficiency and the simulation showing how AI-HMAC efficiently manages compare evaluated protocols in terms of network life, energy consumption and latency.
Jawad Ahmad Haqbeen; Takayuki Ito; Takanobu Otsuka; Mohammad Arifuzzaman. Traffic Adaptive Hybrid MAC with QoS Driven Energy Efficiency for WSNs Through Joint Dynamic Scheduling Mode. 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) 2018, 252 -258.
AMA StyleJawad Ahmad Haqbeen, Takayuki Ito, Takanobu Otsuka, Mohammad Arifuzzaman. Traffic Adaptive Hybrid MAC with QoS Driven Energy Efficiency for WSNs Through Joint Dynamic Scheduling Mode. 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). 2018; ():252-258.
Chicago/Turabian StyleJawad Ahmad Haqbeen; Takayuki Ito; Takanobu Otsuka; Mohammad Arifuzzaman. 2018. "Traffic Adaptive Hybrid MAC with QoS Driven Energy Efficiency for WSNs Through Joint Dynamic Scheduling Mode." 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) , no. : 252-258.
This paper proposes a joint TDMA and CSMA-based traffic Adaptive Intelligent Hybrid Medium Access Control protocol (AI-HMAC) for low-power duty cycle Wireless Sensor Networks (WSNs). The objective of AI-HMAC is to modify the link scheduling and leveraging contention windows mechanism of IH-MAC and smooth the coordination among them by avoiding delay and to efficiently achieve energy consumption. Accordingly, AI-HMAC reintroduces the idea to combines the functionalities of CSMA, TDMA, broadcast scheduling and link scheduling in order to improve throughput and energy efficiency of protocol. It can operate under wide range of data traffic and choosing send/receive mechanism technique according to packet rate and loss with extending energy minimization techniques and bringing down energy consumption. Another advantage of AI-HMAC is to regulating initial contention window according flowing traffic asking rate between nodes in order to achieve high channel utilization under high traffic load without any energy compromising and to minimize certain delay probability that may cause with data collision. AI-HMAC doing this task through applying prioritized back-off scheme to make efficient time adaptive for node idle listening period during Back-off process. It adjusts contention for adapting traffic load with suitable duty cycle length in order to increase energy efficiency. And by leveraging and exploiting the concept of parallel transmission to minimize energy consumption during communication. The mathematical analytical expression of our protocol are presented to compute the energy consumption efficiency and the simulation showing how AI-HMAC efficiently manages compare evaluated protocols in terms of network life, energy consumption and latency.
Jawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. Traffic Adaptive Hybrid MAC with QoS Driven Energy Efficiency for WSNs Through Joint Dynamic Scheduling Mode. 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) 2018, 3 -9.
AMA StyleJawad Ahmad Haqbeen, Takayuki Ito, Mohammad Arifuzzaman, Takanobu Otsuka. Traffic Adaptive Hybrid MAC with QoS Driven Energy Efficiency for WSNs Through Joint Dynamic Scheduling Mode. 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS). 2018; ():3-9.
Chicago/Turabian StyleJawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. 2018. "Traffic Adaptive Hybrid MAC with QoS Driven Energy Efficiency for WSNs Through Joint Dynamic Scheduling Mode." 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) , no. : 3-9.
In the last few years, saving of energy in the wireless sensor network (WSNs) world has been, and continue to be now an important challenge in the area of WSNs. In this paper, energy aspect has been investigated, with specific regard to routing, MAC and physical layer. We propose a novel joint routing, medium access control (MAC) and physical layer protocol for wireless sensor network (WSNs) based on basic novelty feature of IH-MAC [4]. This is referred to as a Joint Routing, MAC and Physical layer protocol (RMP). The concept ran by blending the classical layered approach and combining routing, MAC and physical layer functions, the proposed RMP protocol achieves a solution for energy efficiency in WSNs. Conventionally, the problem of energy efficient protocol design is considered independently at respective layer of protocol stack. This paper has taken a holistic approach of finding solution by addressing the possible energy gain in Routing, MAC and Physical layer together. Firstly, it is seen that communication path with the large number of short hop substantially minimizes energy consumption. This phenomenon is used while instantaneous network information is collected with minimum overhead through the control packets for selecting next hop. Based on the updated network knowledge the next hop neighbour is chosen with reduced control overhead. Besides, the RMP protocol uses the approach for finding the constrained shortest path for forwarding packets [1], which results in load balancing in WSNs. We compare the RMP with other two existing protocols by network simulator ns-2. The simulation outcome of RMP supports the theatrical idea, and confirm the efficiency of proposed RMP because the energy consumption is reduced through applying the theory within simulation application.
Jawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. Joint routing, MAC and physical layer protocol for wireless sensor networks. TENCON 2017 - 2017 IEEE Region 10 Conference 2017, 935 -940.
AMA StyleJawad Ahmad Haqbeen, Takayuki Ito, Mohammad Arifuzzaman, Takanobu Otsuka. Joint routing, MAC and physical layer protocol for wireless sensor networks. TENCON 2017 - 2017 IEEE Region 10 Conference. 2017; ():935-940.
Chicago/Turabian StyleJawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. 2017. "Joint routing, MAC and physical layer protocol for wireless sensor networks." TENCON 2017 - 2017 IEEE Region 10 Conference , no. : 935-940.
In this paper, we propose a novel Intelligent Cross Layer Protocol (I-XLP) with traffic-differentiation based on Quality of Service (QoS) for WSNs for monitoring applications. By leveraging classical layered approach and blending different layer functions our proposed protocol I-XLP achieve a solution for energy efficiency, and latency for the case monitoring in WSNs. I-XLP combines the functionalities of Medium Access control (MAC), Routing and Congestion control to achieve its goal. The proposed protocol is energy efficient and the protocol ensures lower latency for the prioritized traffic. The simulation outcome supports the theory, and prove the effectiveness of our proposed scheme.
Jawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. Intelligent Cross-Layer Protocol with traffic-differentiation-based QoS for wireless sensor networks. 2016 IEEE Region 10 Conference (TENCON) 2017, 1088 -1092.
AMA StyleJawad Ahmad Haqbeen, Takayuki Ito, Mohammad Arifuzzaman, Takanobu Otsuka. Intelligent Cross-Layer Protocol with traffic-differentiation-based QoS for wireless sensor networks. 2016 IEEE Region 10 Conference (TENCON). 2017; ():1088-1092.
Chicago/Turabian StyleJawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. 2017. "Intelligent Cross-Layer Protocol with traffic-differentiation-based QoS for wireless sensor networks." 2016 IEEE Region 10 Conference (TENCON) , no. : 1088-1092.
Jawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. Design of Joint Cooperative Routing, MAC and Physical Layer with QoS-aware Traffic-based Scheduling for Wireless Sensor Networks. International Journal of Networked and Distributed Computing 2017, 5, 164 .
AMA StyleJawad Ahmad Haqbeen, Takayuki Ito, Mohammad Arifuzzaman, Takanobu Otsuka. Design of Joint Cooperative Routing, MAC and Physical Layer with QoS-aware Traffic-based Scheduling for Wireless Sensor Networks. International Journal of Networked and Distributed Computing. 2017; 5 (3):164.
Chicago/Turabian StyleJawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. 2017. "Design of Joint Cooperative Routing, MAC and Physical Layer with QoS-aware Traffic-based Scheduling for Wireless Sensor Networks." International Journal of Networked and Distributed Computing 5, no. 3: 164.
Jawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. An Intelligent Cross-Layer QoS-Aware Protocol with Traffic-Differentiation-Based for Energy Efficient Communication in WSNs. International Journal of Networked and Distributed Computing 2017, 5, 80 -92.
AMA StyleJawad Ahmad Haqbeen, Takayuki Ito, Mohammad Arifuzzaman, Takanobu Otsuka. An Intelligent Cross-Layer QoS-Aware Protocol with Traffic-Differentiation-Based for Energy Efficient Communication in WSNs. International Journal of Networked and Distributed Computing. 2017; 5 (2):80-92.
Chicago/Turabian StyleJawad Ahmad Haqbeen; Takayuki Ito; Mohammad Arifuzzaman; Takanobu Otsuka. 2017. "An Intelligent Cross-Layer QoS-Aware Protocol with Traffic-Differentiation-Based for Energy Efficient Communication in WSNs." International Journal of Networked and Distributed Computing 5, no. 2: 80-92.