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

Published on by Academic Excellence

 

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

 

KARTHIK M | Engineering | Research Excellence Award

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Dr. KARTHIK M | Engineering | Research Excellence Award

SRM Madurai College for Engineering and Tchnology | India

Dr. M. Karthik is a dedicated academician and researcher in the field of Electrical and Electronics Engineering, with a strong specialization in High Voltage Engineering. He currently serves as a Senior Grade Assistant Professor in the Department of Electrical and Electronics Engineering at SRM Madurai College for Engineering and Technology, Tamil Nadu. With over nine years of teaching experience across reputed engineering institutions, he has consistently contributed to academic excellence, curriculum delivery, and student mentorship. Dr. Karthik earned his Ph.D. (Part-Time) in High Voltage Engineering from Anna University, Chennai, completing his doctoral coursework at the Government College of Technology, Coimbatore, with outstanding academic performance. He also holds an M.E. degree in High Voltage Engineering, graduating as a university topper with distinction, and a B.E. degree in Electrical and Electronics Engineering. His strong academic foundation reflects his commitment to technical rigor and continuous learning. His primary research interests include liquid and solid dielectrics, high voltage insulation, and related reliability studies in power systems. Dr. Karthik has actively disseminated his research through multiple national-level conference paper presentations, covering interdisciplinary themes such as biomedical signal processing, intrusion detection systems, SCADA technology, energy conservation, fuel cell technologies, and advanced power electronics applications. An active contributor to the research community, Dr. Karthik maintains profiles on ORCID, Scopus, Google Scholar, Publons, and Vidwan, highlighting his scholarly engagement and research impact. Through his teaching, research, and academic service, he remains committed to advancing knowledge in high voltage engineering and fostering innovation in electrical engineering education.

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View Scopus Profile  View Google Scholar Profile

Featured Publications

An efficient waste management technique with IoT based smart garbage system
– Materials Today: Proceedings, 2023
Frequency control of PV-connected micro grid system using fuzzy logic controller
– Materials Today: Proceedings, 2021
Visualization of virtual environment through LabVIEW platform
– Materials Today: Proceedings, 2021
Studies on critical properties of vegetable oil based insulating fluids
– IEEE INDICON, 2015
Appropriate analysis on properties of various compositions on fluids with and without additives for liquid insulation in power system transformer applications
– Scientific Reports, 2024

Peter Anyin | Engineering | Research Excellence Award

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Dr. Peter Anyin | Engineering | Research Excellence Award

Institute for Intermodal Transports and Logistics Systems | Germany

Anyin, Peter Betianabeshe, Ph.D., is a transportation engineer and researcher specializing in traffic planning, simulation, and quantitative modeling of complex mobility systems. His academic and professional work is centered on developing data-driven and system-oriented approaches to improve traffic operations, urban mobility, and infrastructure planning, particularly in rapidly growing metropolitan regions. He is currently engaged in advanced research at Technische Universität Braunschweig, Germany, where his doctoral studies focus on transportation planning and traffic simulation, with a strong emphasis on designing quantitative metrics for evaluating microscopic traffic simulators and systemic planning frameworks. His Ph.D. research addresses the systemic planning of traffic in Lagos, Nigeria, integrating simulation-based methodologies with real-world mobility challenges. Dr. Anyin’s research expertise spans microscopic traffic simulation, queueing theory, statistical traffic data analysis, and computational modeling. He has extensive experience working with industry-standard simulation tools such as VISSIM, SUMO, Aimsun, and MATSim, alongside programming and analytical platforms including Python, MATLAB, Simulink, and SQL. His interdisciplinary research also extends into machine learning applications, such as generative adversarial networks and physics-informed neural networks, applied to traffic systems and pavement modeling. He has authored multiple peer-reviewed journal articles and conference papers on traffic simulation comparison, queueing models, sustainable transportation systems, and computational methodologies. His work has been published in reputable international journals and presented at global conferences. In addition to research, he actively supervises graduate students, contributes to collaborative urban planning projects, and engages with stakeholders to translate simulation research into practical transportation solutions.

Citation Metrics (Google Scholar)

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Featured Publications

Analytical Determination of Queueing System Performance for Sustainable Economic Development
– Arid Zone Journal of Engineering, Technology and Environment, 2022
MATLAB SimEvent for Traffic Queue Model
– Arid Zone Journal of Engineering, Technology and Environment, 2024
Simplified Octahedral Shear Stress Theory for Plane Elements
– Nnamdi Azikiwe University Journal of Civil Engineering, 2025
Formulation of Limit State Deflection Equation for Thin Rectangular Steel Plates Analysis
– Nnamdi Azikiwe University Journal of Civil Engineering, 2025
Pertuzumab Overcomes Chemotherapy/Trastuzumab Resistance in ER+/HER2+ Tumors Classified as Luminal Functional Subtype
– Cancer Research (Supplement), 2016

Sumaraj S | Engineering | Academic Excellence Award

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Dr. Sumaraj S | Engineering | Academic Excellence Award

Dr. Sumaraj is a Civil and Environmental Engineer with over a decade of academic and research experience, specializing in water and environmental sustainability. He holds a Ph.D. in Civil and Environmental Engineering from the University of Auckland, New Zealand, where his doctoral research contributed to advancing sustainable approaches in water and wastewater treatment systems. His strong academic foundation also includes a Master of Technology in Environmental Engineering and Management from the Indian Institute of Technology Kharagpur, where he graduated with distinction, and a Bachelor of Engineering in Civil Engineering from the National Institute of Engineering, Mysore. Dr. Sumaraj’s research interests span water and wastewater treatment engineering, sustainable technologies, nutrient contaminant remediation, carbon-based materials such as biochar and activated carbon, adsorption mechanisms, surface chemistry, analytical chemistry, and air pollution monitoring. His work reflects an interdisciplinary approach that integrates environmental science, engineering solutions, and sustainability-driven innovation, leading to peer-reviewed publications, conference presentations, and award-winning student research projects. Currently serving as an Assistant Professor in the Department of Civil Engineering at Nitte Meenakshi Institute of Technology, Bengaluru, Dr. Sumaraj is actively involved in teaching, mentoring, and academic leadership. He has designed and delivered courses in green technology, environmental sustainability, wastewater treatment, water supply engineering, and research methodology. Beyond the classroom, he plays a key role in industry–academia collaboration, skill development initiatives, and sustainability-focused training programs. A recipient of multiple scholarships and honors, including the University of Auckland Doctoral Scholarship and recognition under national and international sustainability programs, Dr. Sumaraj is also a certified Green-Belt Career and Higher Education Counsellor. His professional journey reflects a strong commitment to research excellence, environmental stewardship, and the development of future-ready engineers.

Citation Metrics (Google Scholar)

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Featured Publications

Moulya H.V | Engineering | Women Researcher Award

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Mrs. Moulya H.V | Engineering | Women Researcher Award

Nitte Meenakshi Institute Of Technology | India

Moulya Hosagadhe Venkataramana is an accomplished academic and construction engineering professional with extensive experience in Concrete Technology, Construction Management, and Quality Assurance and Quality Control (QA/QC). With over nine years of combined teaching and industry exposure, she has significantly contributed to engineering education, laboratory development, project execution, and applied research in sustainable construction materials. Her academic tenure includes impactful roles at Nitte Meenakshi Institute of Technology, Dayananda Sagar College of Engineering, and BTL Institute of Technology and Management, where she strengthened curriculum delivery, advanced laboratory infrastructure, and supported institutional development. Her research focuses on Geopolymer Concrete, sustainable materials, and modern construction technologies, reflecting her commitment to environmental responsibility and innovative engineering practices. She has published ten research papers, including contributions in Q2, Q3, and Q4 journals, and presented her work at eight national and international conferences. Her scholarly excellence has been recognized through multiple awards, including Best Paper Presentation at ICCSI 2024 and a Research Award for Journal Publications at NMIT. In the engineering domain, she has served in QA/QC and site engineering roles, managing material procurement, batching, testing, safety compliance, and process optimization for major construction projects. She contributed to the execution of large-scale works such as building facilities and commercial complexes, demonstrating precision in quality oversight and project coordination. She has also guided numerous student projects in geopolymer concrete and sustainable construction technologies, fostering innovation among emerging engineers. With expertise spanning project management, engineering design, laboratory establishment, and academic leadership, she continues to advance research and teaching in civil engineering.

Profile: Google Scholar

Featured Publications

  • Moulya, H. V., & Chandrashekhar, A. (2022). Experimental investigation of effect of recycled coarse aggregate properties on the mechanical and durability characteristics of geopolymer concrete. Materials Today: Proceedings, 59, 1700–1707.

  • Moulya, H. V., Vasu, V. K., Praveena, B. A., Rajesh, M., Ruthuparna, S. A., & Rahul, K. (2022). Study on acoustic properties of polyester–fly ash cenosphere/nanographene composites. Materials Today: Proceedings, 52, 1272–1277.

  • Choudhari, R. M., Kharche, N. A., Shekokar, S. R., Kharche, Y. A., Kharat, D. P., … Moulya, H. V. (2025). Examining dielectric constant improvement techniques for ferroelectric applications using PVDF-HFP/TFO composite films. Journal of Materials Science: Materials in Engineering, 20(1), 137.

  • Moulya, M. H. V. (2025). Self-healing concrete using nanomaterials to extend infrastructure longevity.

  • Moulya, M. H. V., Chandrashekhar, A., & Angadi, S. V. (2024). Geopolymer recycling process for sustainable construction materials management. B. Nitte Meenakshi Institute of Technology.

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.

Professional Profile

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Orcid

Google Scholar

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

Shagufta Riaz | Engineering | Women Researcher Award

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Dr. Shagufta Riaz | Engineering | Women Researcher Award

Dr. Shagufta Riaz, National Textile University, Pakistan 

Dr. Shagufta Riaz is an Assistant Professor in the Department of Textile Engineering at National Textile University, Faisalabad, Pakistan. With a Ph.D. in Textile Engineering, she specializes in functional textiles, focusing on the use of nanomaterials for textile development. Dr. Riaz has authored several influential publications and has completed various high-impact research projects. She has worked as a researcher at the Wilson School of Textiles in the USA and is actively involved in advancing textile innovations. A member of prestigious international organizations like the Textile Institute and the Pakistan Engineering Council, Dr. Riaz is committed to sustainable textile solutions.

Professional Profile

Scopus

Google Scholar

Suitability of Dr. Shagufta Riaz for the Research for Women Researcher Award

Dr. Shagufta Riaz is a highly accomplished researcher in textile engineering, specializing in functional textiles and nanotechnology applications. Her extensive academic background, including a Ph.D. in Textile Engineering and international research experience at the Wilson School of Textiles, NCSU, USA, demonstrates her expertise in the field. She has significantly contributed to the advancement of sustainable textile innovations, textile finishing, and the development of nanomaterials for multifunctional textile applications. As an HEC Ph.D. Approved Supervisor and a Fellow of the Textile Institute, UK, she has played a crucial role in mentoring young researchers and advancing academic excellence in textile engineering.

Her research portfolio includes several high-impact projects funded at both national and international levels, focusing on crucial areas such as RF-shielding maternity garments, recycling of cellulosic waste for graphene quantum dots, and sustainable bio-processing in textile manufacturing. Additionally, her collaborations with industry highlight her ability to bridge the gap between academic research and practical industrial applications. Notable projects include the development of antibacterial medical gauze, pesticide-resistant clothing, and UV-shielding protective garments, which showcase her commitment to improving textile functionality for real-world challenges.

🎓 Education

Dr. Shagufta Riaz holds a Ph.D. in Textile Engineering from National Textile University, Faisalabad, Pakistan, where she also completed her M.Sc. in Textile Advanced Materials Engineering and B.Sc. in Textile Engineering with distinctions. She further honed her skills as a researcher at the Wilson School of Textiles, North Carolina State University, USA. This educational foundation, coupled with her hands-on research experience, forms the backbone of her expertise in nanotechnology, textile finishing, and sustainable textile innovations.

💼 Professional Experience

Dr. Shagufta Riaz is an Assistant Professor at National Textile University, Faisalabad. She has led and collaborated on multiple research projects, including those in partnership with international institutions and the textile industry. Her professional experience spans research in textile engineering, focusing on nanomaterials and sustainable solutions. Dr. Riaz has consulted on industry projects to optimize processes in textile production, such as designing protective garments and improving fabric properties. Her role as a Ph.D. supervisor and her recognition as a Fellow of the Textile Institute, UK, highlight her significant contribution to academia and industry.

🏅 Awards and Recognition

Dr. Shagufta Riaz’s academic excellence is evidenced by her recognition as a Fellow of the Textile Institute, UK, and a Lifetime Member of the Pakistan Engineering Council. She has received multiple accolades for her contributions to textile engineering, including a significant number of awards for her research in nanotechnology and textile innovations. Her work, recognized internationally, is reflected in numerous high-impact publications and the completion of major research and consultancy projects in collaboration with the textile industry.

🌍 Research Skills On Engineering

Dr. Riaz is an expert in nanotechnology applications in textile engineering, particularly for the development of multifunctional textiles. Her research focuses on the integration of nanomaterials to enhance textile properties such as antimicrobial, UV resistance, and electrical shielding. She has completed several research projects under government and industry funding, contributing valuable advancements in sustainable textiles, functional finishes, and eco-friendly processes. Dr. Riaz’s skills extend to guiding doctoral research and publishing in prestigious journals, marking her as a leading researcher in textile engineering.

📖 Publication Top Notes

  • Fabrication of robust multifaceted textiles by application of functionalized TiO₂ nanoparticles

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus
    • Citations: 95
    • Year: 2019

  • Functional finishing and coloration of textiles with nanomaterials

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Rehman, A. Javid, K. Iqbal, …
    • Citations: 77
    • Year: 2018

  • Modification of silica nanoparticles to develop highly durable superhydrophobic and antibacterial cotton fabrics

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain
    • Citations: 58
    • Year: 2019

  • Electrospun nanofiber-based viroblock/ZnO/PAN hybrid antiviral nanocomposite for personal protective applications

    • Authors: A. Salam, T. Hassan, T. Jabri, S. Riaz, A. Khan, K.M. Iqbal, S. Khan, M. Wasim, …
    • Citations: 41
    • Year: 2021

  • Cationization of TiO₂ nanoparticles to develop highly durable multifunctional cotton fabric

    • Authors: S. Riaz, M. Ashraf, H. Aziz, A. Younus, M. Umair, A. Salam, K. Iqbal, …
    • Citations: 31
    • Year: 2022

  • Layer by layer deposition of PEDOT, silver and copper to develop durable, flexible, and EMI shielding and antibacterial textiles

    • Authors: S. Riaz, S. Naz, A. Younus, A. Javid, S. Akram, A. Nosheen, M. Ashraf
    • Citations: 26
    • Year: 2022

  • Multifunctional formaldehyde-free finishing of cotton by using metal oxide nanoparticles and eco-friendly cross-linkers

    • Authors: N. Sarwar, M. Ashraf, M. Mohsin, A. Rehman, A. Younus, A. Javid, K. Iqbal, …
    • Citations: 24
    • Year: 2019

  • In situ development and application of natural coatings on non-absorbable sutures to reduce incision site infections

    • Authors: R. Masood, T. Hussain, M. Umar, Azeemullah, T. Areeb, S. Riaz
    • Citations: 21
    • Year: 2017

  • Selection and Optimization of Silane Coupling Agents to Develop Durable Functional Cotton Fabrics Using TiO₂ Nanoparticles

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus, M. Raza, A. Nosheen
    • Citations: 20
    • Year: 2021

  • Simultaneous fixation of wrinkle-free finish and reactive dye on cotton using response surface methodology

    • Authors: S. Abid, T. Hussain, A. Nazir, Z.A. Raza, A. Siddique, A. Azeem, S. Riaz
    • Citations: 16
    • Year: 2018

Miaomiao Ma | Engineering | Best Researcher Award

Published on by Academic Excellence

Prof. Miaomiao Ma | Engineering | Best Researcher Award

Prof. Miaomiao Ma, north china electric power university, China

Dr. Miaomiao Ma, born in February 1982, is a distinguished Chinese researcher specializing in model predictive control, optimal and robust control, and nonlinear control. Currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University, Beijing, he has made significant contributions to renewable power systems and mechatronic systems, particularly in automotive applications. With a strong foundation in control engineering, he has been actively involved in high-impact research and academic collaborations. Dr. Ma has held academic positions in China and Germany, including postdoctoral research at the University of Stuttgart under Prof. Frank Allgöwer. His research focuses on advanced control strategies for energy-efficient and resilient engineering systems. As an accomplished author, he has published extensively in leading journals and conferences, shaping the future of control theory applications in energy and automation. His expertise continues to influence both academia and industry.

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Suitability for the Research for Best Researcher Award – Miaomiao Ma

Dr. Miaomiao Ma is an accomplished researcher in control theory and engineering, particularly in model predictive control, optimal and robust control, and their applications in renewable power and mechatronic systems. His academic journey, from earning a Ph.D. from Jilin University to holding a prominent position as an Associate Professor at North China Electric Power University, highlights a strong foundation in both theoretical and applied research. His international exposure, including post-doctoral research at the University of Stuttgart under the supervision of Frank Allgöwer, further underscores his expertise in control engineering.

Dr. Ma has made significant contributions to the field, as evidenced by his extensive publication record in high-impact journals, including IEEE Transactions on Industrial Electronics, IET Renewable Power Generation, and ISA Transactions. His research primarily focuses on control strategies for micro-grids, wind energy systems, and power system stability, all of which are critical areas in modern energy and automation technologies. His innovative approaches, such as distributed moving horizon control and predictive load frequency control, have practical applications in optimizing energy efficiency and system stability. Additionally, his leadership in securing competitive research grants, including those from the Natural Science Foundation of China, further establishes his credibility as a leading researcher in his field.

🎓 Education 

Dr. Miaomiao Ma earned his Ph.D. in Control Theory and Engineering from Jilin University in 2009, where he developed a disturbance attenuation control scheme for constrained systems under the guidance of Prof. Hong Chen. Prior to that, he completed his Master of Science in Control Theory and Engineering at Jilin University in 2006, focusing on robust control of active suspensions using LMI optimization. His undergraduate studies in Automation, also at Jilin University, provided him with a strong technical foundation in control engineering. Throughout his academic journey, Dr. Ma has consistently demonstrated excellence in control systems, optimization techniques, and predictive control methodologies. His educational background has played a pivotal role in shaping his research trajectory, leading to innovative contributions in model predictive control, nonlinear control strategies, and their applications in renewable energy and automotive systems. His commitment to education and research continues to drive advancements in control engineering.

💼 Professional Experience

Dr. Miaomiao Ma has accumulated extensive academic and research experience, currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University (NCEPU), since January 2015. Prior to this, he was an Assistant Professor at NCEPU from 2009 to 2014. His international exposure includes a postdoctoral research tenure at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany, under Prof. Frank Allgöwer from 2012 to 2013. Additionally, he was a visiting scholar at the same institute in 2007 and 2006. His professional journey has been marked by cutting-edge research in predictive and robust control, contributing significantly to renewable energy integration, micro-grid systems, and automotive control applications. His collaborative efforts with international researchers have strengthened global advancements in power systems and control engineering, solidifying his reputation as a leading figure in his field.

🏅 Awards and Recognition 

Dr. Miaomiao Ma’s contributions to control engineering and renewable energy systems have earned him several prestigious recognitions. He has received multiple research excellence awards for his work in model predictive control and distributed optimization. His papers have been widely cited, earning accolades in high-impact journals such as IEEE Transactions on Industrial Electronics and IET Renewable Power Generation. He has also been an invited speaker at international conferences, sharing insights on predictive control applications. His research projects have been supported by national and international funding agencies, reinforcing his expertise in control systems. Furthermore, Dr. Ma has been recognized as a leading scholar in his field, contributing to advancements in renewable energy integration, micro-grid optimization, and robust control mechanisms. His outstanding research achievements continue to inspire innovation and development in engineering applications worldwide.

🌍 Research Skill On Engineering

Dr. Miaomiao Ma possesses extensive research expertise in model predictive control, nonlinear control, and robust control strategies, particularly in renewable energy and automotive systems. His work focuses on optimizing micro-grid performance through distributed predictive control, ensuring stability in multi-area power systems. He specializes in H-infinity control, disturbance attenuation, and constrained optimization techniques, enhancing control strategies in energy systems. Dr. Ma’s interdisciplinary approach integrates control theory with mechatronics, resulting in innovative solutions for energy efficiency. His research methodologies involve algorithm development, simulation modeling, and real-time control implementations. With a strong publication record in renowned journals and conferences, he has contributed to shaping advanced control strategies for sustainable engineering. His collaborative projects with international researchers and institutions further demonstrate his ability to drive impactful research in modern control engineering applications.

📖 Publication Top Notes

  • Title: Distributed model predictive load frequency control of the multi-area power system after deregulation
    Authors: M Ma, C Zhang, X Liu, H Chen
    Citations: 164
    Year: 2016
    Journal: IEEE Transactions on Industrial Electronics
  • Title: Distributed model predictive load frequency control of multi-area interconnected power system
    Authors: M Ma, H Chen, X Liu, F Allgöwer
    Citations: 134
    Year: 2014
    Journal: International Journal of Electrical Power & Energy Systems
  • Title: Moving Horizon Tracking Control of Wheeled Mobile Robots With Actuator Saturation
    Authors: H Chen, MM Ma, H Wang, ZY Liu, ZX Cai
    Citations: 99
    Year: 2009
    Journal: IEEE Transactions on Control Systems Technology
  • Title: LFC for multi‐area interconnected power system concerning wind turbines based on DMPC
    Authors: M Ma, X Liu, C Zhang
    Citations: 74
    Year: 2017
    Journal: IET Generation, Transmission & Distribution
  • Title: Disturbance attenuation control of active suspension with non-linear actuator dynamics
    Authors: MM Ma, H Chen
    Citations: 58
    Year: 2011
    Journal: IET Control Theory & Applications
  • Title: Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting
    Authors: M Yang, D Wang, C Xu, B Dai, M Ma, X Su
    Citations: 34
    Year: 2023
    Journal: Renewable Energy
  • Title: Maximum power point tracking and voltage regulation of two-stage grid-tied PV system based on model predictive control
    Authors: M Ma, X Liu, KY Lee
    Citations: 31
    Year: 2020
    Journal: Energies
  • Title: Constrained H₂ control of active suspensions using LMI optimization
    Authors: M Ma, H Chen
    Citations: 28
    Year: 2006
    Conference: Chinese Control Conference
  • Title: Robust MPC for the constrained system with polytopic uncertainty
    Authors: X Liu, S Feng, M Ma
    Citations: 23
    Year: 2012
    Journal: International Journal of Systems Science
  • Title: Moving horizon ℋ∞ control of variable speed wind turbines with actuator saturation
    Authors: M Ma, H Chen, X Liu, F Allgöwer
    Citations: 20
    Year: 2014
    Journal: IET Renewable Power Generation

Kamaraj K | Engineering | Best Researcher Award

Published on by Academic Excellence

Dr. Kamaraj K | Engineering | Best Researcher Award

Dr. Kamaraj K, KPR Institute of Engineering and Technology, India

Dr. Kamaraj K, an accomplished academic and researcher, holds a Ph.D. in Information and Communication Engineering from Anna University (2021). With over 17 years of academic experience, he is currently an Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Coimbatore. He has a strong background in software engineering, testing, and agile methodologies, alongside expertise in Extended Reality. Dr. Kamaraj is passionate about integrating technology with real-world applications, emphasizing teamwork and continuous learning. His leadership roles include overseeing ranking, accreditation activities, and Sustainable Development Goals (SDG) initiatives. Dr. Kamaraj’s contributions extend to mentoring and advancing autonomous academic processes. His professional journey is marked by dedication, innovation, and a focus on impactful research, making him a valuable figure in engineering education and research.

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🌟   Summary of Suitability for the Research for Best Researcher Award

Dr. Kamaraj K is a highly accomplished academic professional with a strong foundation in software engineering, software testing, agile methodologies, and extended reality. With over 17.2 years of academic experience, he has consistently demonstrated leadership, innovation, and a commitment to advancing knowledge in his research areas. As an Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Dr. Kamaraj has contributed significantly to academic and administrative excellence. His responsibilities have encompassed managing accreditation processes, autonomous proceedings, and sustainable development goals (SDG) initiatives, showcasing his multifaceted expertise and organizational capabilities.

Dr. Kamaraj’s impressive academic qualifications, including a Ph.D. in Information and Communication Engineering from Anna University, underline his deep understanding of complex research topics. He has made meaningful contributions to academic literature, publishing papers on strategies for automated test oracle and test case generation, which highlight his ability to address practical challenges in software testing. His professional certifications, such as MTA, IBM DB2-302, and OCA, demonstrate his dedication to continuous learning and mastery of modern tools and technologies.

🎓 Education 

Dr. Kamaraj K’s educational journey is distinguished by academic excellence and a focus on cutting-edge engineering fields. He earned his Ph.D. in Information and Communication Engineering from Anna University in 2021, showcasing his dedication to advanced research in software engineering and testing. His M.Tech. in Software Engineering from Bharathidhasan University (2007) further honed his technical and problem-solving skills, laying a strong foundation for his career. Dr. Kamaraj also holds a B.Tech. in Information Technology from Coimbatore Institute of Engineering and Technology, affiliated with Anna University, which he completed in 2005. These qualifications reflect his commitment to academic rigor and innovation in engineering. His education has equipped him with the knowledge and expertise to lead projects, mentor students, and contribute to advancements in engineering and technology.

💼 Professional Experience 

Dr. Kamaraj K has an extensive career spanning over 17 years in academia, with significant leadership roles in prestigious institutions. Since 2017, he has been serving as Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Coimbatore. His responsibilities include managing ranking and accreditation activities, mentoring teams, and advancing autonomous academic processes. Prior to this, he worked at Dhanalakshmi Srinivasan College of Engineering, Coimbatore, as Assistant Professor and Department Head from 2012 to 2017. From 2007 to 2012, he contributed to SRM University, Chennai, as Assistant Professor, coordinating academic activities, accreditation processes, and extracurricular events. Dr. Kamaraj’s professional experience showcases his expertise in academic leadership, curriculum development, and student mentorship, underscoring his dedication to fostering excellence in engineering education.

🏅 Awards and Recognition

Dr. Kamaraj K’s illustrious career is marked by numerous recognitions for his academic and professional excellence. He has been acknowledged for his leadership in managing institutional rankings and accreditation activities, including QS I-GAUGE, THE Impact Ranking, and NIRF. Under his guidance, the Department of Information Technology at KPR Institute of Engineering and Technology has achieved significant milestones. Dr. Kamaraj’s contributions to autonomous academic processes and his role in advancing Sustainable Development Goals (SDGs) have been widely recognized. He is also a certified professional in various technical domains, holding certifications such as MTA in Database Management, IBM DB2-302, and Oracle Certified Associate (OCA). His dedication to quality education and impactful research has earned him a reputation as a forward-thinking academic leader.

🌍 Research Focus and Skills On Engineering

Dr. Kamaraj K’s research expertise lies in software engineering, with a focus on software testing, agile methodologies, and extended reality. He is passionate about applying innovative technologies to solve real-world challenges, emphasizing the integration of theory and practice. Dr. Kamaraj is skilled in automated test oracle strategies, test case generation, and reduction techniques, as reflected in his published works. His technical proficiency extends to database management systems, manual testing, and programming, supported by certifications in MTA, IBM DB2, and ISTQB. As a researcher and academic leader, he is dedicated to advancing knowledge in his field through continuous learning and collaboration. Dr. Kamaraj’s ability to mentor students, lead projects, and contribute to impactful research highlights his commitment to driving innovation in engineering and technology.

📖 Publication Top Notes

  1. Title: A Hybridized Artificial Neural Network for Automated Software Test Oracle
    Authors: R.M. K. Kamaraj, B. Lanitha, S. Karthic, P. N. Senthil Prakash
    Journal: Computer Systems Science and Engineering, 45 (2), 1837-1850
    Citations: 12
    Year: 2022
  2. Title: A weight optimized artificial neural network for automated software test oracle
    Authors: K. Kamaraj, C. Arvind, K. Srihari
    Journal: Soft Computing, 24 (17), 13501-13511
    Citations: 9
    Year: 2020
  3. Title: Improved beetle swarm optimization algorithm for energy efficient virtual machine consolidation on cloud environment
    Authors: H. Bhagavathi, S. Rathinavelayatham, K. Shanmugaiah, K. Kanagaraj, …
    Journal: Concurrency and Computation: Practice and Experience, 34 (10), e6828
    Citations: 8
    Year: 2022
  4. Title: Intelligent fuzzy edge computing for real-time decision making in IoT-based digital twin environments
    Authors: K. Prasath, N. Arun, A. Saravanan, B. Kamaraj
    Journal: Journal of Intelligent & Fuzzy Systems, 1-12
    Citations: 1
    Year: 2023
  5. Title: Multiobjective Gannet Dung Beetle Optimization for routing in IoT-WSN
    Authors: S. Sangeetha, K. Kanagaraj, N. Prasath, S. Saradha
    Journal: Peer-to-Peer Networking and Applications, 1-21
    Citations: Not yet available
    Year: 2024
  6. Title: Soybean Leaf Disease Classification using Enhanced Densenet121
    Authors: V. Yogabalajee, K. Sundaram, K. Kanagaraj
    Conference: 2024 10th International Conference on Advanced Computing and Communication
    Citations: Not yet available
    Year: 2024
  7. Title: Meeting Recap Automation: Leveraging NLP and Pretrained Models for Effortless Summaries
    Authors: G.D.P. Kamaraj, K. Dheepakh Bala, T. Divya, S. P.
    Journal: International Journal of Advance Computational Engineering and Networking
    Citations: Not yet available
    Year: 2024
  8. Title: Prediction of Lung Infections with Deep Learning Techniques: A Systematic Review
    Authors: V. Thangamuthu, K. Kamaraj, J.D.K. Hezekiah
    Conference: 2023 3rd International Conference on Innovative Mechanisms for Industry
    Citations: Not yet available
    Year: 2023
  9. Title: Data driven probabilistic detection of fake news using advanced machine learning algorithms
    Authors: K. Kamaraj, R. Giri, S. Dhanush, S. Gokul
    Journal: AIP Conference Proceedings, 2764 (1)
    Citations: Not yet available
    Year: 2023
  10. Title: Speech Based Emotion Recognition System
    Authors: D.K.K. Sri Murugharaj B.R., Shakthy B., Sabari L.
    Journal: International Journal of Engineering Technology and Management Sciences, 7 (1)
    Citations: Not yet available
    Year: 2023