Asma Mahgoub | Engineering | Innovative Research Award

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Innovative Research Award

Asma Mahgoub
Affiliation Qatar University
Country Qatar
Scopus ID 57207733885
Documents 11
Citations 106
h-index 4
Subject Area Engineering
Event International Academic Excellence Awards
ORCID 0000-0002-6469-9039

Asma Mahgoub
Qatar University,Qatar

Asma Mahgoub is affiliated with Qatar University and has developed an emerging research profile in engineering with particular emphasis on semantic communication, artificial intelligence, machine learning, image understanding, and next-generation wireless systems. Her scholarly publications investigate methods that improve communication efficiency while maintaining semantic fidelity across modern digital networks.[1]

Abstract

This article summarizes the academic profile of Asma Mahgoub in recognition of her nomination for the Innovative Research Award. Her research combines semantic communication, explainable artificial intelligence, image captioning, transformer models, and intelligent networking to improve data transmission efficiency and communication quality. The body of work demonstrates interdisciplinary engineering research addressing future communication infrastructures, including 6G and edge intelligence, while contributing practical methodologies for semantic-aware information exchange.[2]

Keywords

Semantic Communication, Engineering, Artificial Intelligence, Transformer Models, Image Captioning, Edge Learning, 6G Networks, Explainable AI, Deep Learning, Machine Learning.

Introduction

Modern communication systems increasingly focus on semantic information rather than conventional bit-level transmission. This paradigm supports efficient utilization of bandwidth while preserving contextual meaning. Asma Mahgoub’s publications contribute to this evolving discipline by integrating natural language processing, vision-language models, and engineering optimization into semantic communication frameworks suitable for intelligent wireless environments.[3]

Research Profile

According to the provided scholarly indicators, the researcher has authored 11 indexed publications with 106 citations and an h-index of 4. The publication record reflects consistent engagement in emerging engineering topics including semantic text communication, image semantic transmission, explainable metrics, BERT embeddings, and transformer-based communication architectures. These contributions indicate sustained participation in internationally recognized engineering research.[4]

Research Contributions

  • Advanced transformer-based semantic communication systems.
  • Developed explainable metrics for semantic image communication.
  • Integrated image captioning with intelligent communication models.
  • Investigated semantic communication for future 6G and edge learning platforms.
  • Applied BERT embeddings to improve text semantic transmission.

Publications

  • Document-Level Transformer-Based Text Semantic Communication System (2026).
  • Efficient Explainable Metric for Semantic Communication of Images Using Image Captioning (2026).
  • Metaverse Unbound: Semantic Communication, 6G and Edge Learning (2025).
  • Semantic Communication of Images Using Image Generation and Image Captioning Models (2025).
  • On Using BERT Embeddings for Text Semantic Communication (2024).

Research Impact

The published work contributes to efficient information exchange in intelligent communication systems through semantic-aware methodologies. Research on explainability, multimodal learning, and transformer architectures supports future developments in engineering applications including smart networks, autonomous systems, and next-generation wireless communication technologies.[5]

Award Suitability

The Innovative Research Award recognizes researchers demonstrating originality, scholarly quality, and measurable academic contribution. Based on the documented publication record, citation performance, and interdisciplinary engineering research, Asma Mahgoub’s work aligns with these objectives through meaningful contributions to semantic communication research and advanced intelligent networking technologies.

Conclusion

Asma Mahgoub has established an active research portfolio focused on semantic communication and intelligent engineering systems. Her publications address practical and theoretical challenges relevant to future communication technologies while demonstrating continued scholarly development. The combination of research productivity, citation influence, and innovation supports recognition within international academic award programs.

External Links

References

  1. Mahgoub A. Document-Level Transformer-Based Text Semantic Communication System. Machine Learning and Knowledge Extraction. 2026. DOI: 10.3390/make8080225
  2. Mahgoub A. Efficient Explainable Metric for Semantic Communication of Images Using Image Captioning. IEEE Access. 2026. DOI: 10.1109/ACCESS.2026.3654009
  3. Mahgoub A. Metaverse Unbound: A Survey on Synergistic Integration Between Semantic Communication, 6G, and Edge Learning. IEEE Access. 2025. DOI: 10.1109/ACCESS.2025.3555753
  4. Mahgoub A. Semantic Communication of Images Using Image Generation and Image Captioning Models. 2025. DOI: 10.1007/978-981-96-1483-7_11
  5. Mahgoub A. On Using BERT Embeddings for Text Semantic Communication. HONET 2024. DOI: 10.1109/HONET63146.2024.10822884

 

Oluwole Famoriji | Engineering | Innovative Research Award

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Innovative Research Award

Oluwole Famoriji
Affiliation Federal University of Technology and Environmental Sciences, Iyin-Ekiti, Nigeria
Country Nigeria
Scopus ID 57193136350
Documents 64
Citations 472
h-index 15
Subject Area Engineering
Event International Academic Excellence Awards
ORCID 0000-0003-1357-3935

Oluwole Famoriji
Federal University of Technology and Environmental Sciences, Iyin-Ekiti, Nigeria

Oluwole Famoriji is an engineering researcher whose scholarly work emphasizes power systems, renewable energy integration, antenna technologies, electromagnetic analysis, and machine learning applications for intelligent electrical engineering. His publication portfolio demonstrates sustained contributions to advanced engineering research while addressing practical challenges involving energy optimization, communication systems, and computational prediction methods. The combination of peer-reviewed publications, measurable citation impact, and interdisciplinary collaborations reflects continued academic engagement within internationally recognized journals and conferences.[1]

Abstract

The academic profile of Oluwole Famoriji illustrates continued research activity in electrical and electronic engineering with a strong emphasis on intelligent systems, renewable energy, machine learning, and electromagnetic modelling. His work integrates theoretical development with engineering applications to improve prediction accuracy, voltage regulation, wireless communication performance, and sustainable energy management. The available publication record and citation indicators demonstrate consistent scientific productivity and international collaboration across multiple engineering disciplines.[2]

Keywords

  • Engineering
  • Machine Learning
  • Power Systems
  • Renewable Energy
  • Electromagnetic Radiation
  • Antenna Arrays
  • Artificial Intelligence

Introduction

Modern engineering increasingly depends on intelligent computational approaches to address energy efficiency, communication reliability, and infrastructure resilience. Oluwole Famoriji’s research aligns with these priorities by combining advanced analytical techniques with practical engineering solutions. His investigations contribute to renewable energy coordination, machine learning prediction, electromagnetic modelling, and wireless system optimization, supporting technological development within rapidly evolving engineering environments.[3]

Research Profile

The researcher has produced 64 indexed scholarly documents with 472 citations and an h-index of 15, reflecting measurable scientific influence. His publications span internationally recognized journals including IEEE Access, Applied Sciences, Energies, and other peer-reviewed engineering outlets. Research themes consistently focus on machine learning, intelligent power systems, antenna technologies, and computational engineering methods.[4]

Research Contributions

Major contributions include intelligent photovoltaic energy coordination under uncertainty, machine learning estimation of electromagnetic radiation near 5G infrastructure, multiclass support vector machine methods for direction-of-arrival estimation, systematic reviews of artificial intelligence in power system prediction, and structural electromagnetic modelling for millimeter-wave antenna performance. Collectively these studies advance engineering knowledge through computational innovation and practical system analysis.[5]

Publications

  • An Intelligent Technique for Coordination and Control of PV Energy and Voltage-Regulating Devices in Distribution Networks Under Uncertainties (2025).
  • Machine Learning Approach for Ground-Level Estimation of Electromagnetic Radiation in the Near Field of 5G Base Stations (2025).
  • A Multiclass Support Vector Machine Based Direction-of-Arrival Estimation Technique using Spherical Antenna Array (2024).
  • Machine Learning Approaches for Power System Parameters Prediction: A Systematic Review (2024).
  • Modeling of Coupled Structural Electromagnetic Statistical Concept for Examining Performance Sensitivity of Antenna Array to Distortion at Millimeter-Wave (2024).

Research Impact

The research demonstrates relevance to sustainable energy, smart electrical networks, telecommunications, and intelligent engineering systems. Citation performance and publication consistency indicate recognition by the academic community. The interdisciplinary nature of the work supports technological advancement through data-driven engineering methodologies and computational optimization.[6]

Award Suitability

Based on the documented scholarly record, Oluwole Famoriji demonstrates qualities associated with the Innovative Research Award, including sustained publication activity, interdisciplinary engineering research, international collaboration, and measurable scientific impact. His contributions to intelligent energy systems and computational engineering align with the objectives of recognizing innovation that advances engineering knowledge and practical applications.

Conclusion

The academic achievements of Oluwole Famoriji reflect a balanced combination of research productivity, engineering innovation, and scholarly influence. His investigations in renewable energy, machine learning, electromagnetic systems, and intelligent power networks contribute to contemporary engineering research while supporting future developments in sustainable and computational technologies.

External Links

References

  1. Scopus Author Profile. Research metrics and indexed publications. https://www.scopus.com/pages/authors/57193136350
  2. Famoriji O.J. et al. An Intelligent Technique for Coordination and Control of PV Energy and Voltage-Regulating Devices in Distribution Networks Under Uncertainties. Energies (2025). DOI: 10.3390/en18133481
  3. Famoriji O.J. Machine Learning Approach for Ground-Level Estimation of Electromagnetic Radiation in the Near Field of 5G Base Stations. Applied Sciences (2025). DOI: 10.3390/app15137302
  4. Famoriji O.J. A Multiclass Support Vector Machine Based Direction-of-Arrival Estimation Technique using Spherical Antenna Array. Indonesian Journal of Electrical Engineering and Informatics (2024).
  5. Makanju T.D., Shongwe T., Famoriji O.J. Machine Learning Approaches for Power System Parameters Prediction: A Systematic Review. IEEE Access (2024). DOI: 10.1109/ACCESS.2024.3397676
  6. Famoriji O.J. Modeling of Coupled Structural Electromagnetic Statistical Concept for Examining Performance Sensitivity of Antenna Array to Distortion at Millimeter-Wave. Applied Sciences (2024). DOI: 10.3390/app14167111

 

Farzin Naghibalsadati | Engineering | Best Researcher Award

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Mr. Farzin Naghibalsadati | Engineering | Best Researcher Award

Mr. Farzin Naghibalsadati, University of Regina, Canada

Farzin Sadati, PMP®, is a highly accomplished Civil Engineer with over a decade of expertise in large-scale industrial, commercial, and institutional construction. Currently based in Regina, Saskatchewan, he holds a Master’s degree in Environmental Systems Engineering and specializes in sustainable construction practices and project management. With strong technical proficiency in NBC codes, risk management, budgeting, and quality control, Farzin has led multi-million-dollar construction projects with notable success. He combines academic excellence, demonstrated by scholarships and awards, with real-world impact through roles in top construction firms and research initiatives. As a committed leader and effective communicator, he excels in coordinating interdisciplinary teams and optimizing project timelines and costs. His work bridges hands-on field experience and research innovation, with a recent focus on modular construction waste analytics. Farzin is affiliated with prominent engineering and project management organizations and is recognized for his leadership in promoting sustainable development goals (SDGs).

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Suitability Summary for Research for Best Researcher Award

Farzin Sadati is a highly qualified candidate for the Research for Best Researcher Award, demonstrating a strong blend of academic excellence, professional experience, and impactful research contributions. His educational background is robust, with a Master’s in Environmental Systems Engineering from the University of Regina, supported by a full NSERC scholarship, underscoring his academic merit and research potential. Additionally, his prior Master’s in Structural Engineering and Bachelor’s in Civil Engineering provide a comprehensive foundation in both theory and practice.

Professionally, Farzin brings over 10 years of leadership in large-scale construction projects exceeding $100 million, showcasing his capability to manage complex, multidisciplinary efforts successfully. His hands-on experience in project management, site supervision, regulatory compliance, and sustainability reflects a practical understanding of real-world engineering challenges. His PMP certification and expertise with construction management software such as Procore and Primavera P6 further highlight his competence in bridging management and technical domains.

Education 🎓 

Farzin Sadati’s academic journey reflects a commitment to excellence and sustainability. He is currently pursuing a MASc in Environmental Systems Engineering at the University of Regina, Canada, with a CGPA of 83.80. His research, supported by a prestigious Natural Sciences and Engineering Research Council of Canada (NSERC) scholarship, explores sustainable construction practices and modular waste management. Prior to this, he earned a MASs in Structural Engineering (CGPA: 95.45) and a BASc in Civil Engineering (CGPA: 88.65) from Azad University, Iran. Throughout his studies, Farzin demonstrated academic prowess, earning multiple nominations and awards, including a top-three ranking among graduate peers. His academic background combines technical rigor in structural systems with contemporary approaches to environmental engineering. This foundation equips him to tackle challenges at the intersection of infrastructure and sustainability, laying the groundwork for his contributions to research, practice, and policy. His education underpins his holistic perspective on engineering and environmental responsibility.

Professional Experience 💼

Farzin Sadati brings over 10 years of progressive experience across various sectors including residential, commercial, and infrastructure projects. Currently serving as Construction Project Manager at ISAD Construction, he has led complex developments like a 144-unit concrete structure valued at $34M, and successfully managed stakeholder coordination and risk mitigation strategies. His tenure at the University of Regina as a Researcher further honed his expertise in construction waste analytics and compliance with NBC. Previously, at Imen Sazan Faradezh Inc., he contributed to structural design and feasibility assessments, increasing project efficiency. Farzin began his career as a Superintendent with Saman Gostar Jame Inc., managing large-scale HVAC and residential projects. He has a proven record in applying data analytics, BIM, and sustainable methods across all project phases. His leadership style, problem-solving approach, and proficiency with tools like Procore, Primavera P6, and Microsoft Project enable him to consistently deliver high-quality outcomes on time and under budget.

Awards and Recognition 🏅

Farzin Sadati has been recognized for both his academic excellence and impactful professional contributions. In 2024, he received the RCE Saskatchewan Award, presented by Lieutenant Governor Russell Mirasty, for a sustainable construction and demolition project that aligns with the UN Sustainable Development Goals (SDGs). This project leveraged BIM technologies to promote green practices in the construction sector. In 2023, Farzin’s research was awarded full funding by the Natural Sciences and Engineering Research Council of Canada (NSERC), highlighting its relevance and innovation. Earlier, in 2018, he was honored as one of the top three graduate students at Azad University with a remarkable CGPA of 95. His certifications include PMP, WHMIS, and specialized training in AI for energy management, carbon emission analysis, and life cycle assessment. These recognitions underscore his leadership in driving sustainability and performance excellence in engineering projects, positioning him as a forward-thinking leader in the construction industry.

Research Skills On Engineering 🌍 

Farzin Sadati’s research skills span environmental systems engineering, construction waste analytics, and sustainable design. At the University of Regina, his work integrated statistical data from agencies like Statistics Canada with practical construction metrics to assess compliance with the National Building Code and identify opportunities for waste reduction. He effectively utilizes tools like Power BI, Excel, and BIM to visualize performance indicators and propose cost-effective solutions. Farzin’s expertise extends to life cycle analysis, carbon emissions monitoring, and the deployment of AI in green building energy management. His research not only advances academic knowledge but also informs best practices on job sites, particularly in modular and digital construction. With a pragmatic and data-driven approach, he bridges academic insights and field application, delivering strategies that enhance LEED compliance, sustainability, and energy performance. His collaborative projects and published papers reflect his commitment to innovation and environmental stewardship in engineering.

📖  Publication Top Notes

1. Title: Temporal evolution and thematic shifts in sustainable construction and demolition waste management through building information modeling technologies: A text-mining analysis

Authors: F. Naghibalsadati, A. Gitifar, S. Ray, A. Richter, K.T.W. Ng
Journal: Journal of Environmental Management
Volume: 369, Article ID: 122293
Citations: 7
Year: 2024

2. Title: Management Assessment of Used Oil, Filters, and Containers in the Canadian Automotive Sector Using Resource Recovery Metrics

Authors: A. Tasnim, A.T. Abha, F. Naghibalsadati, E. Tam, K.T.W. Ng
Journal: Waste Management
Volume: 191, Pages: 284–293
Citations: 2
Year: 2025

3. Title: Quantification of construction and demolition waste disposal behaviors during COVID-19 using satellite imagery

Authors: S. Ray, K.T.W. Ng, T.S. Mahmud, A. Richter, F. Naghibalsadati
Journal: Environmental and Sustainability Indicators
Volume: 24, Article ID: 100502
Citations: 2
Year: 2024

4. Title: Uncovering key themes in modular construction waste management and exploring their impact and centrality

Authors: F. Naghibalsadati, A. Gitifar, A. Richter, A. Tasnim, K.T.W. Ng
Journal: Results in Engineering
Volume: 25, Article ID: 104550
Citations: 1
Year: 2025

5. Title: Landfill footprint geometrical design evolution and land surface thermal heterogeneity

Authors: A. Gitifar, N. Karimi, S.J. Mim, F. Naghibalsadati, K.T.W. Ng
Journal: Journal of Cleaner Production
Article ID: 145763
Year: 2025

6. Title: The Role of Modular Construction and BIM Technologies in Sustainable Construction and Demolition Waste Management

Author: F. Naghibalsadati
Institution: University of Regina
Type: Thesis/Dissertation
Year: 2024

7. Title: Experimental and Numerical Evaluation on Yielding Damper to Upgrade the Seismic Behavior of Concentrically Braced Frames

Authors: F. Naghibalsadati, S.M. Zahrai, M. Jamshidi
Conference: International Congress of Sciences and Innovative Technologies (ICESIT)
Volume: 270, Page: 133
Year: 2018

8. Title: Experimental and Numerical Investigation of Angle Performance as a Structural Fuse

Authors: F. Naghibalsadati, S.M. Zahrai, M. Jamshidi
Conference: International Congress of Sciences and Innovative Technologies (ICESIT)
Volume: 270, Page: 118
Year: 2018

9.Title: Experimental Study on Cyclic Performance of Diagonal Brace with Slit and Angle to Improve Ductility

Author: F. Naghibalsadati
Institution: Islamic Azad University
Type: Thesis/Dissertation
Year: 2018

 

Md. Kamrul Islam | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Md. Kamrul Islam | Engineering | Best Researcher Award

Assoc. Prof. Dr. Md. Kamrul Islam, King Faisal University, Saudi Arabia 

Dr. Md. Kamrul Islam, an Australian national, currently serves as an Associate Professor at King Faisal University, KSA. With over two decades of experience in civil and transportation engineering, he holds a PhD from the University of New South Wales, Australia, and advanced degrees from the University of Tokyo and DUET, Bangladesh. Dr. Islam’s research focuses on stochastic modeling, asphalt performance, and public transport systems. He has successfully led more than 50 research projects funded by Deanship of Scientific Research and collaborated with premier institutions like University of Illinois and Texas A&M. His excellence has been recognized with prestigious awards such as the Furuichi Kimitake Prize and Institute Gold Medal. Dr. Islam is also a proactive academic mentor, guiding numerous undergraduate projects and contributing to international academic collaborations. His technical, analytical, and conceptual skills have made a significant impact on the field of engineering.

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Summary of Suitability for the Research for Best Researcher Award – Md. Kamrul Islam

Dr. Md. Kamrul Islam, affiliated with King Faisal University, Saudi Arabia, and an Australian citizen, presents a promising profile for the Research for Best Researcher Award. As a faculty member at a reputed institution in the Gulf region, he is likely engaged in cutting-edge research and academic collaboration, contributing significantly to his field. His dual academic and cultural experience, having connections in both Australia and the Middle East, potentially strengthens his international outreach and research dissemination impact.

Given the rigorous environment of King Faisal University, which emphasizes innovation and scholarly contributions, Dr. Islam’s ongoing involvement likely includes authoring peer-reviewed articles, mentoring postgraduate researchers, and participating in international conferences. If his work spans applied or interdisciplinary domains, it would further align with the award’s emphasis on impactful and forward-looking research contributions.

🎓 Education 

Dr. Md. Kamrul Islam’s academic journey showcases his deep-rooted expertise in transportation and civil engineering. He earned his PhD in Transportation Engineering from the University of New South Wales, Australia, in 2014. His doctoral thesis focused on stochastic modeling of public transit performance, leading to several high-impact journal publications. Prior to this, he obtained his Master’s in Engineering with a major in Transportation Planning from the University of Tokyo, Japan, in 2006. His master’s research on urban systems and consumption behavior across East Japan equipped him with advanced simulation and data analysis skills. Dr. Islam began his academic pursuit with a B.Sc. in Civil Engineering from DUET, Bangladesh, in 2002, where he graduated with top honors and was later accredited by Engineers Australia as meeting professional engineer standards. His educational background has laid the foundation for his exceptional contributions to engineering research and teaching.

💼 Professional Experience

Dr. Md. Kamrul Islam has extensive academic and industry experience. He is currently an Associate Professor (since September 2024) and was formerly an Assistant Professor (2015–2024) at the Department of Civil and Environmental Engineering, King Faisal University (KFU), KSA. At KFU, he spearheaded multi-institutional research collaborations and managed projects under the Saudi Aramco Chair on Asphalt Pavement. Before joining KFU, he held faculty positions at DUET, Bangladesh, from 2003 to 2015, progressing from Lecturer to Assistant Professor. His international experience includes roles as a Casual Graduate Academic at UNSW, Australia, and as a Civil Engineer at Pacific Consultant International in Japan, where he contributed to deep-sea port planning. Earlier, he worked as a Project Implementation Officer for the Ministry of Food and Disaster Management, Bangladesh. Throughout his career, he has balanced rigorous academic teaching, research leadership, and field-level infrastructure planning with exceptional professionalism.

🏅 Awards and Recognition

Dr. Md. Kamrul Islam’s outstanding academic and research contributions have earned him multiple prestigious accolades. In 2006, he received the Furuichi Kimitake Prize from the University of Tokyo for excellence in engineering graduation, recognizing his innovative thesis and academic merit. Earlier, in 2002, he was honored with the Institute Gold Medal by the Board of Governors of DUET, Bangladesh, for securing top marks in his undergraduate studies. His research success is further exemplified by securing and completing over 50 research projects sponsored by the Deanship of Scientific Research (DSR) at King Faisal University. These achievements are a testament to his commitment to advancing engineering through research, innovation, and academic collaboration. Additionally, his role in fostering international research networks and mentoring undergraduate students highlights his dedication to academic excellence and leadership in civil and transportation engineering.

🌍 Research Skill On Engineering

Dr. Md. Kamrul Islam exhibits a dynamic portfolio of advanced research skills. He specializes in transportation engineering, stochastic modeling, and asphalt material performance. His PhD research demonstrated his ability to analyze complex transit systems using computational techniques and large-scale algorithms in MATLAB. At KFU, he led multidisciplinary projects addressing sulfur-extended asphalt, pavement benchmarking, and life-cycle assessments. Dr. Islam has developed significant expertise in analytical modeling, data simulation, and numerical approximation, often applied to real-world transport networks. His work involves integrating academic theory with field-based applications, allowing for policy-relevant insights and innovations in civil infrastructure. He has also mastered collaborative research management, coordinating with leading institutions in the USA and Japan. With strong technical acumen, conceptual clarity, and problem-solving approaches, he continues to contribute to academic advancement and sustainable engineering solutions.

📖  Publication Top Notes

  • Title: A review of the evolution of technologies to use sulphur as a pavement construction material
    Authors: N. Sakib, A. Bhasin, M.K. Islam, K. Khan, M.I. Khan
    Journal: International Journal of Pavement Engineering, 22(3), 392-403
    Citations: 40
    Year: 2021

  • Title: Towards sustainable road safety in Saudi Arabia: Exploring traffic accident causes associated with driving behavior using a Bayesian belief network
    Authors: M.M. Rahman, M.K. Islam, A. Al-Shayeb, M. Arifuzzaman
    Journal: Sustainability, 14(10), 6315
    Citations: 33
    Year: 2022

  • Title: Climate change in Bangladesh: Temperature and rainfall climatology of Bangladesh for 1949–2013 and its implication on rice yield
    Authors: E. Alam, A.E.E. Hridoy, S.M.S.H. Tusher, A.R.M.T. Islam, M.K. Islam
    Journal: PLOS ONE, 18(10), e0292668
    Citations: 29
    Year: 2023

  • Title: Predicting road crash severity using classifier models and crash hotspots
    Authors: M.K. Islam, I. Reza, U. Gazder, R. Akter, M. Arifuzzaman, M.M. Rahman
    Journal: Applied Sciences, 12(22), 11354
    Citations: 28
    Year: 2022

  • Title: Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh
    Authors: S.K. Sarkar, R.R. Rudra, A.R. Sohan, P.C. Das, K.M.M. Ekram, S. Talukdar, …
    Journal: Scientific Reports, 13(1), 17056
    Citations: 24
    Year: 2023

  • Title: A bulk queue model for the evaluation of impact of headway variations and passenger waiting behavior on public transit performance
    Authors: M.K. Islam, U. Vandebona, V.V. Dixit, A. Sharma
    Journal: IEEE Transactions on Intelligent Transportation Systems, 15(6), 2432-2442
    Citations: 23
    Year: 2014

  • Title: Reliability analysis of public transit systems using stochastic simulation
    Authors: M.K. Islam, U. Vandebona
    Journal: Not specified
    Citations: 21
    Year: 2010

  • Title: Greenhouse gas emissions in the industrial processes and product use sector of Saudi Arabia—An emerging challenge
    Authors: M.M. Rahman, M.S. Rahman, S.R. Chowdhury, A. Elhaj, S.A. Razzak, …
    Journal: Sustainability, 14(12), 7388
    Citations: 20
    Year: 2022

  • Title: A critical, temporal analysis of Saudi Arabia’s initiatives for greenhouse gas emissions reduction in the energy sector
    Authors: M.M. Rahman, M.A. Hasan, M. Shafiullah, M.S. Rahman, M. Arifuzzaman, …
    Journal: Sustainability, 14(19), 12651
    Citations: 19
    Year: 2022

  • Title: Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment
    Authors: A. Ghosh, U. Chatterjee, S.C. Pal, A.R.M. Towfiqul Islam, E. Alam, M.K. Islam
    Journal: Geocarto International, 38(1), 2285355
    Citations: 18
    Year: 2023

Sergio Armando Barbosa | Engineering | Best Researcher Award

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Dr. Sergio Armando Barbosa | Engineering | Best Researcher Award

Dr. Sergio Armando Barbosa, University of Virginia, United States

Sergio Armando Barbosa Casas is a dedicated hydrologist and civil engineer with a strong background in groundwater modeling, hydrodynamics, and environmental sustainability. He holds a Ph.D. in Civil Engineering from Brigham Young University and currently serves as a Postdoctoral Research Associate at the University of Virginia. His research focuses on assessing flooding impacts, coastal sustainability, and groundwater resource management using Earth observations and advanced modeling techniques. With over a decade of experience, he has worked with institutions such as IDEAM, CAR, and Aquaveo, contributing to hydrological forecasting, river basin assessments, and flood risk analysis. His work has been published in high-impact journals, and he has presented at global conferences. Fluent in English and Spanish, he actively collaborates with interdisciplinary teams to address climate resilience and water resource challenges. His contributions to academia and research continue to advance sustainable solutions for environmental and hydrological challenges.

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Suitability for the “Research for Best Researcher Award” – Sergio Armando Barbosa Casas

Dr. Sergio Armando Barbosa Casas is an exceptionally qualified candidate for the Research for Best Researcher Award, given his extensive contributions to hydrology, groundwater modeling, and urban flood risk assessment. His research has significantly advanced the understanding of groundwater resource assessment, particularly in West Africa, through Earth observations and modeling. His Ph.D. dissertation at Brigham Young University was a groundbreaking study on groundwater resource assessment, a critical topic for sustainable water management.

Currently serving as a Postdoctoral Research Associate at the University of Virginia, Dr. Barbosa is involved in interdisciplinary research on coastal and urban flooding vulnerabilities, sustainability, and salt intrusion in aquifers. His collaboration with government agencies and stakeholders to develop informed decision-making processes for groundwater management highlights his real-world impact. His prior experience as a hydrologist at IDEAM (Colombian Institute of Hydrology, Meteorology, and Environmental Studies) and a design engineer at CAR (Regional Autonomous Corporation) further demonstrate his expertise in hydrological modeling, flood risk assessment, and environmental sustainability.

🎓 Education

Sergio A. Barbosa Casas earned his Ph.D. in Civil Engineering from Brigham Young University in 2023, where he conducted groundbreaking research on groundwater resource assessment in West Africa using Earth observations and numerical modeling. His dissertation explored the impact of climate change and human activities on groundwater storage and recharge, providing valuable insights into water management strategies for arid regions. Prior to this, he obtained an M.S. in Civil Engineering from the National University of Colombia in 2014, focusing on water resource management and hydrological modeling. His academic journey began with a B.S. in Agricultural Engineering from the same institution in 2009, where he developed expertise in hydraulic systems and watershed management. Throughout his studies, he actively engaged in research projects, collaborated with international teams, and contributed to policy recommendations. His diverse educational background has equipped him with a solid foundation in hydrology, climate resilience, and engineering solutions.

💼 Professional Experience 

Sergio A. Barbosa Casas has amassed extensive experience in hydrology, groundwater modeling, and environmental engineering. Currently, he is a Postdoctoral Research Associate at the University of Virginia, where he leads research on flooding impacts, coastal resilience, and sustainability. Previously, he was a Research Assistant at Brigham Young University, where he developed groundwater models for major aquifers in West Africa, utilizing remote sensing and field data. His industry experience includes working as an Engineering Intern at Aquaveo, where he created 3D groundwater simulations. Additionally, he served as a Hydrologist at IDEAM in Colombia, leading hydrological forecasting and flood risk assessments. As a Design Engineer at CAR, he developed dynamic models to evaluate water quality in the Bogotá River. His expertise spans across academia, government agencies, and private sectors, making him a well-rounded professional in water resource engineering, flood modeling, and climate adaptation strategies.

🏅 Awards and Recognition

Sergio A. Barbosa Casas has received numerous awards and grants for his contributions to hydrology and environmental engineering. He was awarded the Climate Fellows Postdoctoral Program Fellowship at the University of Virginia in 2024. During his Ph.D., he secured the Civil & Construction Engineering Scholarship Society Award (2019-2022). His research excellence earned him the Bill Stolte Best Student Paper Award at the Canadian Water Resources Association National Conference in 2022. Additionally, he has contributed to prestigious projects funded by the National Science Foundation (NSF), with grants exceeding $5 million. His involvement in the NASA/USAID Research Grant on sustainable groundwater management in West Africa further highlights his global impact. Recognized for his interdisciplinary approach and innovative methodologies, his work continues to shape water resource sustainability and climate resilience. His expertise is sought after in academic and professional circles worldwide.

🌍 Research Skills On Engineering

Sergio A. Barbosa Casas is an expert in hydrological modeling, groundwater resource management, and climate resilience. His research integrates Earth observations, GIS, and remote sensing with hydrodynamic and groundwater modeling tools such as MODFLOW, HEC-RAS, and TUFLOW. He specializes in analyzing flood risks, coastal vulnerabilities, and sustainable water management strategies. His technical skills include numerical simulations, Python programming, and machine learning applications in hydrology. He has worked extensively with stakeholders, translating complex hydrological data into actionable policies. His work on urban flooding, saltwater intrusion, and groundwater sustainability has been published in high-impact journals and presented at global conferences. With a keen interest in data-driven solutions for climate adaptation, he collaborates across disciplines to develop innovative approaches for managing water resources in changing environments. His research continues to influence sustainable development, providing practical solutions for water security challenges.

Publication Top Notes

  • Deep learning-based downscaling of global digital elevation models for enhanced urban flood modeling

    • Author(s): Zanko Zandsalimi, Sergio A. Barbosa, Negin Alemazkoor, Jonathan L. Goodall, Majid Shafiee-Jood
    • Citation: Journal of Hydrology, 2025-06
    • DOI: 10.1016/j.jhydrol.2025.132687
    • Year: 2025

  • Exploring infiltration effects on coastal urban flooding: Insights from nuisance to extreme events using 2D/1D hydrodynamic modeling and crowdsourced flood reports

    • Author(s): Sergio A. Barbosa, Yidi Wang, Jonathan L. Goodall
    • Citation: Science of The Total Environment, 2025-03
    • DOI: 10.1016/j.scitotenv.2025.178908
    • Year: 2025

  • Exploiting Earth Observations to Enable Groundwater Modeling in the Data-Sparse Region of Goulbi Maradi, Niger

    • Author(s): Sergio A. Barbosa, Norman L. Jones, Gustavious P. Williams, Bako Mamane, Jamila Begou, E. James Nelson, Daniel P. Ames
    • Citation: Remote Sensing, 2023-11-01
    • DOI: 10.3390/rs15215199
    • Year: 2023

  • Exploiting Earth Observations to Enable Groundwater Modeling in the Data-Sparse Region of Goulbi Maradi, Niger (Preprint)

    • Author(s): Sergio A. Barbosa, Norman L. Jones, Gustavious P. Williams, Bako Mamane, Jamila Begou, E. James Nelson, Daniel P. Ames
    • Citation: Preprint, 2023-08-30
    • DOI: 10.20944/preprints202308.2021.v1
    • Year: 2023

  • Correction: Barbosa et al. Evaluating Groundwater Storage Change and Recharge Using GRACE Data: A Case Study of Aquifers in Niger, West Africa. Remote Sens. 2022, 14, 1532

    • Author(s): Sergio A. Barbosa, Sarva T. Pulla, Gustavious P. Williams, Norman L. Jones, Bako Mamane, Jorge L. Sanchez
    • Citation: Remote Sensing, 2023-03-03
    • DOI: 10.3390/rs15051435
    • Year: 2023

Yakshansh Kumar | Engineering | Best Researcher Award

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Mr. Yakshansh Kumar | Engineering | Best Researcher Award

Mr. Yakshansh Kumar, Delhi Technological University, India

Yakshansh Kumar is a highly motivated researcher and academician in the field of Civil Engineering, with a specialization in Pavement-Soil Dynamics. Currently pursuing his PhD at Delhi Technological University, he focuses on dynamic response analysis of pavement-soil systems using piezo sensors. He has actively contributed to several publications and international conferences, establishing himself as a promising expert in geotechnical engineering. Passionate about advancing knowledge and fostering innovation, Yakshansh is also involved in mentoring students and advancing research projects. His dedication and commitment are evident in his academic achievements and research pursuits.

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Summary of Suitability for the “Research for Best Researcher Award”

Yakshansh Kumar is a promising and dedicated researcher with a strong academic foundation and a demonstrated commitment to advancing the field of civil and geotechnical engineering, particularly in pavement-soil dynamics. Currently pursuing a Ph.D. at Delhi Technological University, his research focus on dynamic response analysis of pavement-soil systems using piezo sensors exemplifies his innovative approach to solving complex engineering challenges. His research is not only theoretically robust but also applied, with funding from the university’s IRD and the use of experimental testing and finite element analysis in his investigations.

Kumar’s publication record is impressive, with multiple articles in high-impact journals such as International Journal of Non-Linear Mechanics (SCIE, Q1) and Journal of Vibration Engineering and Technologies (SCIE, Q2). He has contributed to the scientific community with key insights on dynamic load vibrations, piezo-dynamics, and the role of machine learning in geotechnical analysis. His research has garnered attention on both national and international platforms, demonstrated by his active participation in numerous conferences, where he has won awards for best technical papers.

🎓  Education

Yakshansh Kumar holds a PhD in Civil Engineering from Delhi Technological University (DTU), where he is conducting research on the dynamic analysis of pavement-soil systems. He earned his Master’s degree in Geotechnical Engineering from DTU, achieving a CGPA of 7.49. He completed his Bachelor’s degree in Civil Engineering at Hindu College of Engineering (affiliated with DCRUSTM) with a CGPA of 6.37. Throughout his academic career, Yakshansh has demonstrated a strong foundation in engineering principles, with a specific interest in soil dynamics and pavement systems. His rigorous research work has led to multiple scholarly contributions in well-regarded journals and international conferences.

💼 Professional Experience

Yakshansh Kumar has an extensive academic and research background. He is currently working on his PhD project, funded by the IRD-DTU, which focuses on pavement-soil dynamics using piezo sensors for experimental testing and finite element analysis. As part of his professional journey, Yakshansh has contributed to several research papers, conferences, and has collaborated with experts in geotechnical engineering. He has also participated as a reviewer in esteemed journals such as Transportation Infrastructure Geotechnology. In addition to his research, he has attended workshops and seminars, including a national seminar on Science Day and faculty development programs, showcasing his dedication to continuous learning. His involvement in teaching and research continues to shape his career path.

🏅  Awards and Recognition

Yakshansh Kumar has been recognized for his outstanding contributions to research and academic excellence. He was awarded the Best Technical Paper Award for his work on “Velocity Induced Post Elastic Response of Pavements” presented at the Sustainable Infrastructure: Innovations, Opportunities, and Challenges (SIIOC 2024). In addition, his paper on “Post Elastic Response of Pavement Subjected to Moving Load” received the Best Paper Award at the International Online Conference on Energy Science (ICES 2021). His work has been published in high-impact journals such as the International Journal of Non-Linear Mechanics and Journal of Vibration Engineering and Technologies. He has also been recognized as a reviewer for journals and international conferences, reflecting his academic credibility and recognition in the field of geotechnical engineering.

🌍 Research Skills On Engineering

Yakshansh Kumar possesses strong research skills, particularly in the areas of pavement-soil dynamics, finite element analysis, and piezo-dynamics of geomaterials. His expertise lies in dynamic response analysis using experimental testing and numerical modeling. His ongoing PhD project focuses on piezo sensors and their application to pavement systems, supported by funding from IRD-DTU. Yakshansh has demonstrated his proficiency in using advanced software for computational modeling and simulations, as well as conducting real-world experimental tests. His research contributes to understanding the behavior of pavements under dynamic loads, which is vital for improving infrastructure performance. His skills are complemented by his ability to collaborate with peers, present research at conferences, and publish in well-regarded journals.

📖 Publication Top Notes

  • Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2023). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
    • Year: 2023

  • Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
    • Year: 2024

  • Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads. Journal of Vibration Engineering & Technologies, 12(3), 3543-3562.
    • Year: 2024

  • Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials. Journal of Vibration Engineering & Technologies, 1-20.
    • Year: 2024

  • Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load

    • Authors: A Boban, P Pateriya, Y Kumar, K Gaur, A Trivedi
    • Citation: Boban, A., Pateriya, P., Kumar, Y., Gaur, K., & Trivedi, A. (2024). Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load. AI in Civil Engineering, 3(1), 2.
    • Year: 2024

  • Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials

    • Authors: P Kumar, Y Kumar, A Trivedi
    • Citation: Kumar, P., Kumar, Y., & Trivedi, A. (2023). Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials. International Conference on Interdisciplinary Approaches in Civil Engineering.
    • Year: 2023

  • Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load

    • Authors: A Boban, Y Kumar, A Trivedi
    • Citation: Boban, A., Kumar, Y., & Trivedi, A. (2023). Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load. International Conference on Sustainable Infrastructure: Innovation.
    • Year: 2023

  • Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials. Available at SSRN 5002829.
    • Year: 2024

H M IMRAN KAYS | Engineering | Best Researcher Award

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Mr. H M IMRAN KAYS | Engineering | Best Researcher Award

Mr. H M IMRAN KAYS, University of Oklahoma, United States

H.M. Imran Kays is a PhD candidate at the University of Oklahoma’s School of Civil Engineering and Environmental Science. He specializes in transportation engineering, particularly in flood propagation and cascading failures in interdependent transportation and stormwater networks. Imran’s research integrates socio-technical systems and crisis response communities, contributing to transportation resilience. His career includes work as a graduate research assistant at renowned institutions, with a solid background in transportation system modeling. Imran also serves as a major in the Corps of Engineers, Bangladesh Army, bringing a unique blend of academic rigor and practical experience. Throughout his career, he has earned numerous awards, including the 2024 Best Poster Award at the Oklahoma Transportation Symposium and various scholarships and fellowships. His innovative work is highly regarded in his field, influencing both academic research and real-world infrastructure solutions.

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Suitability for the “Research for Best Researcher Award” – H.M. Imran Kays

H.M. Imran Kays, a PhD candidate in Civil Engineering at the University of Oklahoma, stands out as an exceptional candidate for the “Research for Best Researcher Award” due to his impactful research in transportation engineering, particularly focusing on interdependencies between transportation and stormwater networks, resilience frameworks, and the modeling of cascading failures in critical infrastructure systems. His multidisciplinary approach, blending engineering with risk and resilience studies, has led to several high-quality publications, including journal articles and conference proceedings, which reflect his deep understanding of both theoretical and practical aspects of civil engineering and transportation.

Kays’ ongoing work, including his involvement in projects like “Modeling Flood Propagation and Cascading Failures in Interdependent Transportation and Stormwater Networks,” showcases his ability to address pressing global challenges like climate change and infrastructure resilience. His research bridges critical gaps in understanding the vulnerabilities of interconnected systems under stress, making it highly relevant to contemporary issues. Additionally, his impressive list of awards—such as the Best Poster Award at the 2024 Oklahoma Transportation Symposium and several prestigious scholarships—demonstrates recognition of his contributions from the academic community.

🎓 Education 

Imran Kays is currently pursuing his PhD in Civil Engineering at the University of Oklahoma, specializing in transportation engineering. He earned his MSc and BSc in Civil Engineering from the Military Institute of Science and Technology (MIST), Bangladesh, where he focused on transportation systems and their resilience. His academic journey includes distinguished research in socio-geographic monitoring, transportation policies, and infrastructure utilization metrics. Imran’s advanced education has been supported by several prestigious scholarships, including the 2024 Donald E Hall Scholarship and the Walt Kolb Civil Engineering Graduate Fellowship. His strong academic foundation underpins his research focus on transportation system modeling, including flood propagation and cascading failures in interdependent systems. The expertise gained during his PhD research is coupled with hands-on experience in major engineering projects, ensuring his work bridges theoretical knowledge with practical solutions in civil engineering.

💼 Professional Experience 

Imran Kays has substantial professional experience, including roles as a Graduate Research Assistant and PhD student at the University of Oklahoma’s School of Civil Engineering and Environmental Science, the Department of Civil and Environmental Engineering at Florida International University, and Georgia Southern University. His research primarily focuses on transportation engineering, with key studies on the interdependencies between transportation and stormwater networks. As a graduate research assistant, Imran has contributed to numerous high-impact projects, applying his expertise in flood modeling, traffic management, and crisis response frameworks. In addition to his academic work, Imran serves as a Major in the Corps of Engineers, Bangladesh Army, where he applies his engineering knowledge to real-world infrastructure and crisis management challenges. His professional experience spans a broad spectrum, from hands-on traffic analysis to sophisticated modeling and resilience planning, which has shaped his approach to solving complex engineering problems.

🏅 Awards and Recognition

Imran Kays has received multiple awards and recognitions throughout his academic career. He was honored with the Best Poster Award at the 2024 Oklahoma Transportation Symposium and has been awarded the 2024 Donald E Hall Scholarship and the 2024 Cleo Cross Scholarship. His academic excellence is further acknowledged by the 2024 Walt Kolb Civil Engineering Graduate Fellowship and the 2024 Bullard Dissertation Completion Fellowship. These accolades underscore his outstanding contributions to transportation research. Imran’s dedication to his field has also earned him the 2024 Robberson Travel Grant and the 2023 Gallogly College of Engineering Scholarship, among others. In addition to academic scholarships, Imran has been recognized for his work on the intersection of transportation and stormwater systems, with multiple publications and presentations at prestigious conferences. His achievements reflect his leadership in the field and his commitment to advancing transportation engineering.

🌍 Research Skills On Engineering

Imran Kays is a skilled researcher with a focus on transportation system modeling, resilience frameworks, and socio-technical systems in infrastructure. His expertise lies in analyzing and modeling the interdependencies between transportation and stormwater networks, exploring cascading failures during natural disasters. Imran has developed advanced resilience frameworks for transportation systems, incorporating data-driven approaches to assess infrastructure vulnerability and develop adaptive strategies. His work on integrating socio-geographic monitoring with transportation policies has received significant attention for its potential to shape future urban transportation planning. Additionally, Imran’s research includes flood modeling, crisis response communities, and risk perception analysis in online social networks. He employs a combination of AI, machine learning, and GIS to predict long-term traffic patterns and assess infrastructure resilience under varying conditions. Imran’s research contributes to the practical application of civil engineering in managing disasters and enhancing the resilience of transportation networks.

 📖 Publication Top Notes

  • H-CTM for simulating non-lane-based heterogeneous traffic
    Authors: HMI Kays, TH Shimu, M Hadiuzzaman, SM Muniruzzaman, …
    Citation: Transportation Letters, 11 (7), 382-390
    Year: 2019
  • Identifying crisis response communities in online social networks for compound disasters: the case of hurricane Laura and COVID-19
    Authors: KA Momin, HMI Kays, AM Sadri
    Citation: Transportation Research Record, 03611981231168120
    Year: 2023
  • Centrality-based lane interventions in road networks for improved level of service: the case of downtown Boise, Idaho
    Authors: MA Ahmed, HMI Kays, AM Sadri
    Citation: Applied Network Science, 8 (1), 2
    Year: 2023
  • Exploring the interdependencies between transportation and stormwater networks: The case of Norman, Oklahoma
    Authors: HMI Kays, AM Sadri, KKM Muraleetharan, PS Harvey, GA Miller
    Citation: Transportation Research Record, 2678 (5), 491-513
    Year: 2024
  • Towards Unifying Resilience and Sustainability for Transportation Infrastructure Systems: Conceptual Framework, Critical Indicators, and Research Needs
    Authors: HM Kays, AM Sadri
    Citation: arXiv preprint arXiv:2208.10039
    Year: 2022
  • Translating Social Media Crisis Narratives into Road Network Utilization Metrics: The Case of 2020 Oklahoma Ice Storm
    Authors: HM Kays, KA Momin, MB Thwala, KK Muraleetharan, AM Sadri
    Citation: arXiv preprint arXiv:2212.08616
    Year: 2022
  • Modeling Flood Propagation and Cascading Failures in Interdependent Transportation and Stormwater Networks
    Authors: HMI Kays, AM Sadri, PS Harvey, GA Miller
    Citation: International Journal of Critical Infrastructure Protection, 100741
    Year: 2025
  • Translating Risk Narratives in Socio-Technical Systems into Infrastructure Utilization Metrics During Compounding Hazard Events
    Authors: HMI Kays, KA Momin, KK Muraleetharan, AM Sadri
    Citation: Arif, Translating Risk Narratives in Socio-Technical Systems into …
    Year: 2024
  • A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks
    Authors: HM Kays, KA Momin, KK Muraleetharan, AM Sadri
    Citation: arXiv preprint arXiv:2401.07371
    Year: 2024
  • A Structural Equation Modeling Approach to Understand User’s Perceptions of Acceptance of Ride-Sharing Services in Dhaka City
    Authors: MMI Sourav, MR Islam, HM Kays, M Hadiuzzaman
    Citation: arXiv preprint arXiv:2210.04086
    Year: 2022