Best Academic Researcher Award

Fouad Maliki
ESSA-Tlemcen, Algeria.

Fouad Maliki is a researcher affiliated with ESSA-Tlemcen, Algeria, working in the field of engineering. His research addresses scheduling, facility layout optimization and optimization methods for industrial systems. He is nominated for the Best Academic Researcher Award at the International Academic Achievements & Awards in recognition of his recent publication record [1][2].

Abstract

This article presents the research profile of Fouad Maliki, an engineering researcher at ESSA-Tlemcen, in connection with the Best Academic Researcher Award. His recent work applies exact, heuristic and metaheuristic methods to industrial optimization problems, including multi-row facility layout [1], flow-shop scheduling under transportation constraints and uncertainty [2], and the use of large language models for combinatorial optimization [4].

Keywords

Facility layout optimization, flow-shop scheduling, genetic algorithms, NSGA-II, mixed-integer linear programming, combinatorial optimization, Petri nets, industrial engineering.

Introduction

Optimization of production systems is a central topic in industrial and manufacturing engineering, since decisions on layout, scheduling and monitoring directly affect cost, efficiency and working conditions. Fouad Maliki’s publications address these decisions through mathematical programming and metaheuristic search. His Scopus author record lists 31 indexed documents [5], and his recent outputs include journal articles, a conference paper and collaborative studies with several co-authors.

Research Profile

Maliki is affiliated with ESSA-Tlemcen in Algeria, and his subject area is engineering. His Scopus Author ID is 54380348300. The Scopus profile reports 31 documents, 123 citations and an h-index of 4 [5]. His work is organized around three main themes:

• Facility layout optimization in manufacturing environments
• Production scheduling under constraints and uncertainty
• Optimization methods and discrete event systems modeling

Research Contributions

In facility layout research, Maliki and co-authors proposed a framework combining mixed-integer linear programming with a genetic algorithm for multi-row layouts under spatial and cost constraints [1]. A related study used the NSGA-II algorithm to balance noise exposure and space utilization, introducing a human-centric perspective into layout design.

In scheduling, he co-authored a study of the permutation flow-shop problem under transportation constraints and uncertainty [2]. He has also contributed to work on minimal sensor selection and placement for causal observability in partially observed Petri nets [3], and to a conference paper evaluating large language models on combinatorial optimization problems [4].

Publications

• Megaiz, S. F. Z., Maliki, F., Souier, M., & Dahane, M. (2026). MILP based–genetic algorithm framework for multi-row facility layout optimization under spatial and cost constraints. The International Journal of Advanced Manufacturing Technology.
  https://doi.org/10.1007/s00170-026-18326-9 [1]
• Bakdi, K., Ghomri, L., & Maliki, F. (2026). Permutation flow-shop scheduling problem under transportation constraints and uncertainty. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-026-18391-0 [2]
• Mamoun, B., Arichi, F., Maliki, F., Cherki, B., & Djemai, M. (2026). Minimal sensor selection and optimal placement for causal observability in partially observed Petri nets. ISA Transactions. https://doi.org/10.1016/j.isatra.2026.10.026 [3]

Research Impact

The practical relevance of this work lies in its application to manufacturing and industrial systems. Layout optimization supports efficient use of space and improved working conditions, scheduling models support more reliable production planning, and sensor placement methods support monitoring of discrete event systems. Scopus reports 123 citations across 31 documents [5], and several recent publications appear in international journals indexed in major databases.

Award Suitability

Maliki is considered suitable for the Best Academic Researcher Award on the following grounds:

• A sustained publication record of 31 indexed documents [5]
• Recent articles in peer-reviewed international journals [1][3]
• Breadth across layout design, scheduling and optimization methods
• Collaboration with researchers from multiple institutions

Conclusion

Fouad Maliki’s research shows a consistent focus on optimization problems in industrial engineering, supported by a recent and active publication record. His work on facility layout, scheduling and discrete event systems contributes methods relevant to both academic study and manufacturing practice, and his nomination for the Best Academic Researcher Award recognizes this contribution [1][2].

External Links

• Scopus Profile
• Google Scholar Profile
• ORCID Profile

References

1. Megaiz, S. F. Z., Maliki, F., Souier, M., & Dahane, M. (2026). MILP based–genetic algorithm framework for multi-row facility layout optimization under spatial and cost constraints. The International Journal of Advanced Manufacturing Technology.
   https://doi.org/10.1007/s00170-026-18326-9
2. Bakdi, K., Ghomri, L., & Maliki, F. (2026). Permutation flow-shop scheduling problem under transportation constraints and uncertainty. The International Journal of Advanced Manufacturing Technology.
   https://doi.org/10.1007/s00170-026-18391-0
3. Mamoun, B., Arichi, F., Maliki, F., Cherki, B., & Djemai, M. (2026). Minimal sensor selection and optimal placement for causal observability in partially observed Petri nets. ISA Transactions.
   https://doi.org/10.1016/j.isatra.2026.10.026
4. Taleb, R., Brahimi, N., Maliki, F., & Hamdan, S. (2026). Evaluating the potential of LLMs in solving combinatorial optimization problems. Conference paper, HAL: hal-05537656.
   https://hal.science/hal-05537656v1/document
5. Elsevier. (n.d.). Scopus author details: Fouad Maliki, Author ID 54380348300. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=54380348300

Best Research Article Award

Armin Hasanpour
Shahrood University of Technology, Iran.

Armin Hasanpour is an engineering researcher affiliated with Shahrood University of Technology, Iran. His work covers numerical modeling, membrane filtration, renewable energy systems and chemical process simulation. He is nominated for the Best Research Article Award at the International Academic Achievements & Awards event in recognition of recent peer-reviewed contributions in these areas.[1]

Abstract

This article presents an academic profile of Armin Hasanpour, an engineering researcher at Shahrood University of Technology, in connection with the Best Research Article Award. His recent publications address fouling in graphene oxide-modified ultrafiltration membranes, hail impact on photovoltaic panels, hydrogen production from biogas and sediment formation in distillation towers. Together they show a consistent reliance on modeling, simulation and experimental evaluation to examine practical engineering problems.[2][3]

Keywords

Numerical modeling, computational fluid dynamics, ultrafiltration membranes, photovoltaic panels, hail impact, biogas reforming, pinch analysis, process simulation, engineering.

Introduction

The International Academic Achievements & Awards event recognizes researchers whose published work shows scholarly rigor and relevance to their field. The Best Research Article Award focuses on individual articles, assessing methodological soundness, clarity of contribution and potential application. Armin Hasanpour is considered here on the basis of his indexed record and recent journal publications in engineering.[1]

His research addresses problems in water treatment, solar energy reliability, hydrogen production and petrochemical process operation, areas closely tied to sustainability and industrial efficiency.

Research Profile

Hasanpour is affiliated with Shahrood University of Technology in Iran, and his Scopus author record lists two documents in the engineering subject area. The record shows no citations and an h-index of 0 at the time of writing, which is consistent with a researcher whose principal articles appeared recently.[1] His ORCID record lists additional works, including journal articles and a preprint, and links his publications to a single persistent identifier.[5]

Research Contributions

His work can be grouped into several themes:

• Membrane technology: a study combining computational fluid dynamics with experiments to evaluate fouling in graphene oxide-modified polyethersulfone ultrafiltration membranes, published in Water Conservation Science and Engineering.[2]
• Photovoltaic reliability: numerical analysis of how weather conditions affect hail impact severity and damage to photovoltaic panels, published in Sustainable Energy Technologies and Assessments.[3] A related preprint examines hail impact angle and angular velocity under varying wind speeds.[5]
• Hydrogen and energy systems: simulation and pinch analysis of hydrogen production from biogas.[4]
• Petrochemical processes: theoretical modeling of hydrocarbon sediment formation in distillation towers used for styrene monomer production.[5]

Publications

Selected works associated with the nominee are listed below.

1. Tabazadeh, A., Hasanpour, A., Manouchehri, M., & Mousazadehgavan, M. (2026). CFD-based modeling and experimental evaluation of fouling in graphene oxide-modified polyethersulfone ultrafiltration membranes. Water Conservation Science and Engineering.[2]
2. Hasanpour, A., Hassani, F., Afsharpour, A., & Saedpanah, B. (2026). Numerical modeling and analysis of weather conditions effects on hail impact severity and damage to photovoltaic panels. Sustainable Energy Technologies and Assessments.[3]
3. Hasanpour, A., Hoseinzadeh Shandiz, M., Gholian Mohamdi, P., & Taheri, H. (2025). Hydrogen production from biogas: Simulation and pinch analysis. Advanced Journal of Chemistry, Section B.[4]

Research Impact

Bibliometric indicators for the nominee are currently modest, with two indexed documents and no recorded citations.[1] Because several of the articles were published in late 2025 and 2026, citation counts are expected to lag behind publication. The topics themselves, namely membrane fouling, solar panel durability and cleaner hydrogen production, are active areas of applied research, which gives the work a clear context for future citation and use.

Award Suitability

The nominee is considered suitable for the Best Research Article Award for the following reasons:

• Recent publication in peer-reviewed journals, including a Springer-published and an Elsevier-published journal.[2][3]
• Combination of computational modeling with experimental validation.
• Relevance to water treatment, renewable energy and industrial process design.
• Collaborative authorship that reflects engagement with the wider research community.

Conclusion

Armin Hasanpour is an early-stage engineering researcher whose recent articles apply numerical and experimental methods to practical problems in membranes, photovoltaics, hydrogen production and petrochemical processing. His nomination for the Best Research Article Award reflects the quality and relevance of this recent output, and his record is likely to develop as the publications gain readership.[1]

External Links

• Scopus Profile
• Google Scholar Profile
• ORCID Profile

References

1. Elsevier. (n.d.). Scopus author details: Armin Hasanpour, Author ID 60122091100. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=60122091100
2. Tabazadeh, A., Hasanpour, A., Manouchehri, M., & Mousazadehgavan, M. (2026). CFD-based modeling and experimental evaluation of fouling in graphene oxide-modified polyethersulfone ultrafiltration membranes. Water Conservation Science and Engineering.
   https://doi.org/10.1007/s41101-026-00582-1
3. Hasanpour, A., Hassani, F., Afsharpour, A., & Saedpanah, B. (2026). Numerical modeling and analysis of weather conditions effects on hail impact severity and damage to photovoltaic panels. Sustainable Energy Technologies and Assessments.
   https://doi.org/10.1016/j.seta.2026.105542
4. Hasanpour, A., Hoseinzadeh Shandiz, M., Gholian Mohamdi, P., & Taheri, H. (2025). Hydrogen production from biogas: Simulation and pinch analysis. Advanced Journal of Chemistry, Section B: Natural Products and Medical Chemistry.
   https://doi.org/10.48309/ajcb.2025.515483.1318
5. Science. (n.d.). Dedicated to Science.
   https://www.ahasanpour.com/

Young Scientist Award

Minqiang Wang
Shanghai Jiao Tong University Global Institute of Future Technologies, China

Minqiang Wang is a researcher at the Shanghai Jiao Tong University Global Institute of Future Technologies whose work in engineering focuses on wearable and implantable biosensing technologies. His publications address non-invasive hormone monitoring, wound exudate analysis, and molecule-selective nanomaterials for sensing [1]. This article summarizes his research profile in the context of the Young Scientist Award at the International Academic Achievements & Awards event.

Abstract

This article presents the academic profile of Minqiang Wang, nominated for the Young Scientist Award. His research concerns wearable and implantable sensing platforms for health monitoring. According to Scopus, he has authored 66 documents, received 7,463 citations, and holds an h-index of 40 [1]. Selected publications appear in Nature Nanotechnology, Nature Materials, and Science Translational Medicine [2][3][4].

Keywords

Wearable biosensors, aptamer sensing, hormone monitoring, wound exudate analysis, implantable bioelectronics, nanoparticle sensors, engineering.

Introduction

The Young Scientist Award, presented under the International Academic Achievements & Awards event, recognizes early- and mid-career researchers who show scholarly productivity and growing influence in their fields. Wang’s work sits within engineering, particularly at the interface of materials, microfluidics, and biosensing. His publications describe devices that measure biochemical markers continuously and with minimal invasiveness, an area of active interest in personalized and preventive healthcare [2].

Research Profile

Wang is affiliated with the Shanghai Jiao Tong University Global Institute of Future Technologies in China. His Scopus author record (ID 58635836300) lists 66 documents and a citation count of 7,463 [1]. His ORCID record is 0000-0002-7775-8341. His publications are frequently co-authored with collaborators working in wearable electronics, chemical sensing, and clinical translation.

Research Contributions

Wang’s contributions fall into several related directions:

• Aptamer-based hormone sensing: a wearable aptamer nanobiosensor for non-invasive monitoring of female hormones in sweat [2], with a later dual-aptamer sensor for multiplex ovarian hormone monitoring [5].
• Nanomaterial sensing interfaces: printable, molecule-selective core–shell nanoparticles for wearable and implantable sensing [3].
• Wound monitoring: a microfluidic wearable device for exudate management and analysis in human chronic wounds [4].
• Implantable bioelectronics: a multimodal platform for autonomous disease management reported in Science Bulletin (2026).

Publications

Selected publications include the following:

• “A wearable aptamer nanobiosensor for non-invasive female hormone monitoring,” Nature Nanotechnology, 2024 [2].
• “Printable molecule-selective core–shell nanoparticles for wearable and implantable sensing,” Nature Materials, 2025 [3].
• “A microfluidic wearable device for wound exudate management and analysis in human chronic wounds,” Science Translational Medicine, 2025 [4].
• “Multiplex ovarian hormone monitoring in sweat using a dual-aptamer wearable sensor,” Device, 2026 [5].

Research Impact

Bibliometric indicators show sustained scholarly attention to Wang’s work, with 7,463 citations and an h-index of 40 recorded in Scopus [1]. Publication in multidisciplinary journals suggests relevance beyond a single specialty, spanning materials science, bioengineering, and translational medicine. Continued work on hormone and wound biomarkers indicates a direction with potential clinical and consumer health applications.

Award Suitability

The profile is consistent with the aims of the Young Scientist Award: a substantial publication record, citation performance, and a clearly defined research program. Recent outputs from 2024 to 2026 show continued activity, and the work addresses practical problems in noninvasive diagnostics and long-term health monitoring [2][5].

Conclusion

Minqiang Wang’s research combines nanomaterials, microfluidics, and aptamer-based recognition to advance wearable and implantable sensing. Supported by indexed publication and citation data, his record reflects consistent contributions to engineering research and suits recognition at the International Academic Achievements & Awards event.

External Links

• Scopus Profile
• Google Scholar
• ORCID Profile

References

1. Elsevier. (n.d.). Scopus author details: Minqiang Wang, Author ID 58635836300. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=58635836300
2. Ye, C., Wang, M., Min, J., Tay, R. Y., Lukas, H., Sempionatto, J. R., Li, J., Xu, C., & Gao, W. (2024). A wearable aptamer nanobiosensor for non-invasive female hormone monitoring. Nature Nanotechnology.
   https://doi.org/10.1038/s41565-023-01513-0
3. Wang, M., Ye, C., Yang, Y., Mukasa, D., Wang, C., Xu, C., Min, J., Solomon, S. A., Tu, J., Shen, G., et al. (2025). Printable molecule-selective core–shell nanoparticles for wearable and implantable sensing. Nature Materials.
   https://doi.org/10.1038/s41563-024-02096-4
4. Wang, M., Armstrong, D. G., Solomon, S. A., Shih, C.-D., Kim, G., Heng, W., Han, H., Wang, C., Min, J., Sani, E. S., et al. (2025). A microfluidic wearable device for wound exudate management and analysis in human chronic wounds. Science Translational Medicine.
   https://doi.org/10.1126/scitranslmed.adt0882
5. Lee, Y., Ye, C., Yeom, J., Chen, Y., Li, J., Min, J., Wang, M., & Gao, W. (2026). Multiplex ovarian hormone monitoring in sweat using a dual-aptamer wearable sensor. Device.
   https://doi.org/10.1016/j.device.2026.101299

Innovative Research Award

Marshall Watson
Texas Tech University, United States

Marshall Watson is a researcher at Texas Tech University whose work in engineering addresses subsurface energy systems, including hydrogen storage, carbon dioxide storage, and wellbore integrity.[1] This article presents his research profile in connection with the Innovative Research Award at the International Academic Achievements & Awards event.

Abstract

Marshall Watson is an engineering researcher affiliated with Texas Tech University. His recent publications examine the long-term integrity of wells used for underground hydrogen storage, the risks of produced-water disposal, the operation of seasonal hydrogen storage in saline aquifers, and wellbore integrity assessment for carbon dioxide storage.[2][3] With 98 indexed documents and 1,826 citations, his record reflects sustained scholarly activity in energy-related engineering.[1]

Keywords

Underground hydrogen storage, wellbore integrity, aged cement, carbon dioxide storage, produced-water disposal, saline aquifers, cushion gas, subsurface engineering, energy storage.

Introduction

The expansion of hydrogen storage and carbon dioxide sequestration has increased attention on the reliability of subsurface infrastructure. Wells are a critical pathway between storage formations and the surface, so their long-term mechanical and chemical stability is central to safe operation. Watson’s work contributes to this area through experimental, modeling, and assessment-based studies.[2][4]

Research Profile

Watson is affiliated with Texas Tech University in the United States, and his primary subject area is engineering. His Scopus author record (ID 55596823300) lists 98 documents, 1,826 citations, and an h-index of 19.[1] His publications are frequently co-authored, including with Hossein Emadi and other collaborators, which indicates active participation in team-based research on subsurface energy systems.[2][4]

Research Contributions

His recent contributions fall into several related themes:

• Hydrogen storage well integrity: an experimental investigation of aged cement, relevant to the durability of wells in long-term hydrogen storage.[2]
• Produced-water disposal: an axisymmetric finite-element scenario model of pressure migration and leakage pathways, linked to lithium resource screening in Texas.[3]
• Seasonal hydrogen storage operations: an assessment of cushion gas selection, well configuration, and cyclic injection in deep saline anticline aquifers.[5]
• Carbon dioxide storage: a framework for wellbore integrity assessment covering data acquisition, risk analysis, monitoring, mitigation, and cost estimation.[4]

Publications

Selected recent outputs include two articles in Geoenergy Science and Engineering (January 2027), an article in Renewable Energy (November 2026), and two preprints released in 2026.[2][3][4][5] The coverage of both journal articles and preprints shows ongoing work across experimental, computational, and framework-oriented studies.

Research Impact

The citation record of 1,826 and an h-index of 19 indicate that a substantial body of his work has been cited by other researchers.[1] The topics he addresses, including hydrogen storage, carbon storage, and produced-water management, are of continuing interest to the energy sector, and well integrity is a shared concern across all of them.

Award Suitability

The Innovative Research Award at International Academic Achievements & Awards recognizes research with demonstrated originality and relevance. Watson’s profile is consistent with these criteria on the basis of:

• a sustained publication record of 98 indexed documents;[1]
• research on timely problems in energy storage and subsurface safety;[2]
• a combination of experimental, modeling, and framework-based approaches.[3][4]

Conclusion

Marshall Watson’s research at Texas Tech University addresses the integrity and operation of subsurface systems used for hydrogen storage, carbon dioxide storage, and fluid disposal. His publication and citation record, together with his recent work, supports his recognition in the engineering category of the Innovative Research Award.[1][5]

External Links

• Scopus Profile
• Google Scholar
• ORCID Profile

References

1. Elsevier. (n.d.). Scopus author details: Marshall Watson, Author ID 55596823300. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=55596823300
2. Hussain, A., Emadi, H., Thiyagarajan, S. R., Fernandez, D. M., Ispas, I., & Watson, M. (2027). Long-term underground hydrogen storage well integrity: Experimental investigation of aged cement. Geoenergy Science and Engineering.
   https://doi.org/10.1016/j.geoen.2026.214797
3. Ayann, T., Watson, M., & Herd, B. L. (2027). Produced-water disposal risk and lithium resource screening in Texas: An axisymmetric finite-element scenario model of pressure migration and leakage pathways. Geoenergy Science and Engineering.
   https://www.sciencedirect.com/science/article/pii/S2949891026004409
4. Eissa, B., Watson, M., Shahin, A., Hajiyev, E., Baig, A. R., Fentaw, J., Navaid, H. B., & Emadi, H. (2026). Wellbore integrity assessment for CO2 storage: A comprehensive framework from data acquisition to risk analysis, monitoring, mitigation, and cost estimation. SSRN preprint.
   https://www.researchgate.net/publication/400521759
5. Baru, A. M., Okere, C. J., Baru, A., & Watson, M. C. (2026). Operational strategy assessment for seasonal hydrogen storage in homogeneous and heterogeneous deep saline anticline aquifers: Effects of cushion gas selection, well configuration, and cyclic injection. Renewable Energy.
   https://doi.org/10.1016/j.renene.2026.126403