Beenish Bakhtawar

ORCID: 0000-0003-4994-2253
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About
Contact & Profiles
Research Areas
  • Water Systems and Optimization
  • Construction Project Management and Performance
  • Infrastructure Maintenance and Monitoring
  • Public-Private Partnership Projects
  • BIM and Construction Integration
  • Water Quality Monitoring Technologies
  • Sustainable Building Design and Assessment
  • Underwater Vehicles and Communication Systems
  • Geophysical Methods and Applications
  • Occupational Health and Safety Research
  • Public Procurement and Policy
  • Life Cycle Costing Analysis
  • Sustainable Supply Chain Management
  • Underground infrastructure and sustainability
  • Recycled Aggregate Concrete Performance
  • High voltage insulation and dielectric phenomena
  • Oil and Gas Production Techniques
  • Value Engineering and Management
  • Geotechnical Engineering and Underground Structures
  • Advanced Fiber Optic Sensors
  • Structural Integrity and Reliability Analysis
  • Fiscal Policy and Economic Growth
  • Water Treatment and Disinfection
  • Community Development and Social Impact
  • Anomaly Detection Techniques and Applications

Hong Kong Polytechnic University
2020-2025

National University of Sciences and Technology
2019

Acoustic technologies are popular for detection of leak detriments in water pipelines. However, problems false alarms, weak or difficult leaks, accurate pinpointing, and the high cost long-term monitoring remain prevalent. These issues demand a more sophisticated testing approach suitable real-world application. In particular, hydrophone technology has strong promise long-range high-attenuation conditions. existing review studies only cover methods holistically, with limited insight into...

10.1061/(asce)ps.1949-1204.0000574 article EN Journal of Pipeline Systems Engineering and Practice 2021-07-24

Abstract This study aims to propose Micro-electromechanical System (MEMS) accelerometers for leak localization in the water distribution network and assess performance of machine learning models accurately estimating locations. Intensive field experimentation was conducted collect data model development. Machine algorithms were employed develop models, specifically artificial neural (ANN) support vector (SVM). Seventeen time-domain frequency-domain features extracted, feature selection...

10.1007/s40710-024-00682-x article EN cc-by Environmental Processes 2024-02-26

Modular integrated construction (MiC) is a groundbreaking innovative technology, transforming the traditional into value-driven assembly of free-standing volumetric modules that are manufactured in factory and installed on site. Because MiC has been gaining attention local stakeholders, it imperative to assess feasibility, challenges, critical success factors (CSFs) for implementing Hong Kong. Existing literature disclosed CSFs from worldwide perspective, but investigation applicability...

10.1061/(asce)ae.1943-5568.0000452 article EN Journal of Architectural Engineering 2020-12-28

Economic growth, social wellbeing, and infrastructure are strongly interrelated jointly contribute to national development. Therefore, evaluation selection of a road project direly need comprehensive sustainability assessment integrating holistic decision criteria. This study presents an elaborate life cycle sustainability-based tool, comprising framework, integration model, framework. In the first phase, (LCSA) framework for is established using mixed methods. second interviews conducted...

10.3390/su13073743 article EN Sustainability 2021-03-27

Fast-tracking the large infrastructure projects through overlapping design and construction levitates multifaceted risks aggravating project complexity critical to efficient planning. Traditional risk management largely treats independently ignoring their interrelationships, limiting understanding of strength nuclii project. To overcome this challenge, recent studies emphasize on employing dynamic assessment approaches. In line with these efforts, current study pertaining fast-track was...

10.1080/15623599.2019.1602587 article EN International Journal of Construction Management 2019-04-16

Abstract This study reviews the state-of-the-art application of fiber optics in water distribution networks for leak detection and localization. The use oil gas sector has been well established; however, its potential pipelines is not evident owing to limited research. study, therefore, presents research developments localization using mixed methodology approach by integrating bibliometric systematic analyses. A scientometric analysis carried out analyze science maps (1) journal sources, (2)...

10.2166/h2oj.2021.102 article EN cc-by H2Open Journal 2021-01-01

Abstract Effective water pipeline leak detection and localization can help practitioners save losses reduce pipe rehabilitation budgets. Different sensing technologies provide essential data aiding model development for predicting future leaks in the distribution networks. Solutions applying different to real networks are being developed real‐time collection, precise localization, reducing false alarms, continuous monitoring. Experiments of scales specifications have been conducted test...

10.1002/wat2.1667 article EN Wiley Interdisciplinary Reviews Water 2023-05-30

Abstract Acoustic sensing technology is a familiar approach to detect leakage in urban water networks. Critical issues like false alarms, difficult leak locations, missed leaks, unknown site conditions, and high repair costs are still prevalent. The situation warrants developing more sophisticated efficient detection real Hydrophone based acoustic has strong promise for precision of leaks. However, AIoT using hydroacoustic data rarely reported. current study, therefore, proposes an...

10.1007/s11269-024-04077-3 article EN cc-by Water Resources Management 2024-12-26

Purpose The formal application of project risk management (PRM) in green building projects is still an emergent part management. purpose this paper to provide a conceptual PRM framework that increases the probability success by minimizing unexpected events. Design/methodology/approach This interprets related literature and uses opinion experts. It exposes some pertinent elements needed for structuring suggests mitigation actions high-ranked risks. also performs ex-post analysis on case study...

10.1108/sasbe-11-2018-0060 article EN Smart and Sustainable Built Environment 2019-09-13

Integrating sustainability in the risk management process is an emergent problem, especially for efficient infrastructure delivery. For case of complex projects like public–private partnerships (P3), traditional practices offer a limited capacity to address long-ranging impacts on social, economic, and environmental fabric within around project boundaries. Although P3 are objective-based contracts, present models rarely delineate focused objectives. The relevant studies very scarce creating...

10.3390/su14010344 article EN Sustainability 2021-12-29

Delivery of sustainable buildings requires infusing sustainability criteria into project decisions. Hiring a suitable contractor and consultant for the delivery green is critical to ensuring procurement. Plus, introducing in prequalification process can improve stakeholder agreement on objectives help hire firms with appropriate experience delivery. Previous studies underline process-level inclusion procurement process. However, considerations are vaguely defined clear performance indicators...

10.1061/(asce)la.1943-4170.0000515 article EN Journal of Legal Affairs and Dispute Resolution in Engineering and Construction 2021-10-05

<title>Abstract</title> Acoustic technologies are popular for the detection of leak detriments in water pipelines. However, problems false alarms, missed leaks, limited site information, and high cost long-term monitoring remain prevalent. These issues demand a more sophisticated testing approach suitable real-world applications. Hydrophone technology has strong promise precision detection. acoustic is mostly focused on using controlled testbed experiments. The practical application...

10.21203/rs.3.rs-2149154/v1 preprint EN cc-by Research Square (Research Square) 2022-11-10
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