Lesiba George Mollo | Construction Management | Best Researcher Award

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Dr. Lesiba George Mollo | Construction Management | Best Researcher Award

Senior Lecturer | Central University of Technology, Free State | South Africa

Dr. Lesiba George Mollo is a Senior Lecturer at the Central University of Technology, Free State, South Africa, in the Department of Built Environment, Faculty of Engineering, Built Environment and Information Technology. He specializes in construction management and health and safety management, teaching at both undergraduate and postgraduate levels. His research focuses on construction health and safety, construction management, wearable technology applications in construction, and building energy management. He holds a PhD in Construction Management, an M-Tech in Quantity Surveying (Cum Laude), and a B-Tech and National Diploma in Quantity Surveying and Building, complemented by certifications in project management and safety training. Professionally, he has served in multiple academic leadership roles, including Deputy Research Dean, Department Research Chair, Research Cluster Coordinator, Acting Head of Department, and Senior Lecturer, with responsibilities encompassing academic administration, research, innovation, and community engagement. His industrial experience spans diverse construction projects, including wastewater treatment plants, residential complexes, and commercial buildings, enriching his academic insights with practical expertise. Dr. Mollo has authored numerous peer-reviewed journal papers, book chapters, and conference proceedings, including the book Training-Within-Industry Job Programs for Improved Construction Safety published by Routledge. He actively contributes to research supervision, journal reviewing, and academic conference organization within his field. His work demonstrates a strong commitment to advancing construction safety, sustainable infrastructure, and digital innovation in the built environment. Dr. Mollo has received recognition for his academic excellence and professional achievements, and his scholarly contributions include 14 published documents, 35 citations from 33 sources, and an h-index of 3.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Mollo, L. G. (2025, March). Evaluating the use of 360° video technology to monitor workers’ unsafe behaviour in the construction industry. In International Civil Engineering and Architecture Conference (pp. 685–693). Singapore: Springer Nature Singapore.

Ariel Pakes | Pharmaceutical Markets |Best Paper Award

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Prof. Dr. Ariel Pakes | Pharmaceutical Markets |Best Paper Award

Professor, Harvard University ,United States

 

Ariel Pakes is a world-class scholar with a track record of transformative research, methodological rigor, and policy relevance. His body of work has profoundly influenced how economists analyze markets, competition, pricing, and regulation.

 

Profile:

Scopus

 

🎓 Education:

Ariel Pakes earned his Bachelor of Arts and Master of Arts degrees from the Hebrew University of Jerusalem in 1971 and 1973, respectively. He then pursued further studies at Harvard University, obtaining another M.A. in 1976 and completing his Ph.D. in 1979. His doctoral thesis, titled “Economic Incentives in the Production and Transmission of Knowledge: An Empirical Analysis,” was supervised by Zvi Griliches. ​Wikipedia

💼 Professional Experience:

Pakes currently holds the position of Thomas Professor of Economics at Harvard University. Prior to this, he served as the Charles and Dorothea Dilley Professor of Economics at Yale University from 1997 to 1999 and held various academic roles at the University of Wisconsin-Madison and the Hebrew University of Jerusalem. Throughout his career, he has been actively involved with several research institutions, including the National Bureau of Economic Research (NBER), where he has been a Research Associate since 1983. ​

🛠️ Skills and Methodological Contributions:

Pakes is renowned for developing empirical methods to analyze market dynamics and policy impacts. Notably, he co-developed the Berry-Levinsohn-Pakes (BLP) model for demand estimation and the Olley-Pakes method for estimating production functions. His work has significantly influenced the analysis of industries such as automotive, healthcare, telecommunications, and energy. Additionally, his methodologies have been adopted by government agencies and private firms for policy evaluation and market analysis. ​

🏆 Awards and Honors:

Ariel Pakes has received numerous accolades recognizing his contributions to economics:​

  • Frisch Medal (1986)

  • Fellow of the Econometric Society (1988)

  • Fellow of the American Academy of Arts and Sciences (2002)

  • Distinguished Fellow of the Industrial Organization Society (2007)

  • Jean-Jacques Laffont Prize (2017)

  • Election to the National Academy of Sciences (2017)

  • BBVA Foundation Frontiers of Knowledge Award in Economics, Finance, and Management (2018)

  • Distinguished Fellow of the American Economic Association (2019)

🔬 Research Focus:

Pakes’s research centers on developing empirical tools to assess how markets respond to environmental and policy changes. His work includes analyzing the effects of mergers, deregulation, and innovation on market outcomes. He has applied his methodologies to various sectors, providing insights into consumer behavior, firm dynamics, and policy implications. His research has been instrumental in shaping modern empirical industrial organization.

Publications:

Policy options for the drug pricing conundrum

Authors: Kate Ho, Ariél Pakes
Year: 2025
Journal: Proceedings of the National Academy of Sciences of the United States of America
Citations: 0

2. The impact of artificial intelligence design on pricing

Authors: John Asker, Chaim Fershtman, Ariél Pakes
Year: 2024
Journal: Journal of Economics and Management Strategy
Citations: 6

3. Moment inequalities for multinomial choice with fixed effects

Authors: Ariél Pakes, Jack R. Porter
Year: 2024
Journal: Quantitative Economics
Citations: 2
Access: Open access

4. Inference for Linear Conditional Moment Inequalities

Authors: Isaiah Andrews, Jonathan Roth, Ariél Pakes
Year: 2023
Journal: Review of Economic Studies
Citations: 3
Access: Open access

5. On the misuse of regressions of price on the HHI in merger review

Authors: Nathan H. Miller, Steven T. Berry, Fiona Scott-Morton, Andrew Sweeting, Marta E. Wosinska
Year: 2022
Journal: Journal of Antitrust Enforcement
Citations: 7
Access: Open access

Conclusion:

Ariel Pakes stands as an ideal candidate for the “Research for Best Paper Award.” His award-winning publications, methodological contributions, and influence on policy-relevant economic modeling make him not only a suitable but a model recipient of such recognition. His research legacy continues to shape entire subfields of economics.7

Geraldo Wilson Fernandes | Ecologia | Best Academic Researcher Award

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Dr. Geraldo Wilson Fernandes | Ecologia | Best Academic Researcher Award

Professor Titular,University of Minas Gerais ,Brazil

 

Prof. Geraldo Wilson Afonso Fernandes stands out as an internationally respected ecologist with over four decades of contributions to science. He is a thought leader in ecosystem restoration, biodiversity conservation, and ecological interactions. His CNPq 1A fellowship, global collaborations, and leadership in impactful ecological projects make him a model candidate for any high-level research award.

 

Profile:

Scopus

Education:


Geraldo Wilson Afonso Fernandes holds a Bachelor’s degree in Biological Sciences from the Federal University of Minas Gerais (UFMG), Brazil, earned in 1983. He completed both his M.Sc. (1987) and Ph.D. (1992) in Ecology and Evolutionary Ecology at Northern Arizona University (NAU), USA, under the supervision of Dr. Peter W. Price. His postgraduate research focused on the distribution patterns and mechanisms of gall-forming insects. He has also completed two postdoctoral fellowships: one at Stanford University (2015–2016), where he served as a Tinker Professor, and another at the University of Seville (2019–2020), supported by CAPES.

Professional Experience;


Fernandes is a highly respected ecologist and a CNPq Level 1A Research Productivity Fellow in Brazil. Over his career, he has held visiting professorships at the University of Alberta (2011), Stanford University (2016), and the University of Seville (2020). He is affiliated with several graduate programs in Brazil, including Ecology, Conservation and Wildlife Management, Genetics (both at UFMG), Biodiversity and Natural Resource Use (UNIMONTES), and the Recovery of Degraded Areas (UFV). Internationally, he collaborates with research programs in Mexico, including INECOL, UNAM, and the University of Seville.

Research Focus:


His research is centered on biodiversity, ecosystem services, community ecology, herbivory, environmental monitoring, ecological restoration, climate change, chemical ecology, and ecological interactions. He has made significant contributions to understanding the ecological roles of gall-forming insects and the biogeography of biodiversity patterns. He also leads a major international project under the CYTED program (Spain), focusing on the role of protected areas in supporting ecosystem services, particularly the ecological and economic implications of pollinator declines.

Skills:


Fernandes is an expert in ecological monitoring, biodiversity assessment, and ecosystem service evaluation. His skillset also includes field-based ecological research, data analysis, bioprospecting, and the development of phytotherapeutic and biodiversity-based products. His interdisciplinary expertise spans environmental science, chemical ecology, and climate-related ecological modeling.

Awards and Recognition:


In 2018, Fernandes was elected a full member of the Brazilian Academy of Sciences—one of the highest academic honors in the country. He has received multiple fellowships and awards from Brazilian research agencies, including CNPq and CAPES. His academic distinction is further underscored by his long-standing role as a top-tier CNPq researcher (Level 1A).

Publications:

Conclusion:

Dr. Xiang Que demonstrates an excellent balance of academic rigor, research innovation, and potential for Prof. Geraldo W. A. Fernandes is exceptionally qualified for the Best Researcher Award, and his career reflects the award’s ideals of global scientific leadership, innovation in ecological research, and long-standing academic excellence. Any recognition bestowed upon him would not only be deserved but would also uplift the visibility of critical ecological and biodiversity research in the Global South.

Natalia Ramírez Giraldo | biomateriales | Young Researcher Award

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Mrs. Natalia Ramírez Giraldo | biomateriales | Young Researcher Award

Central University of Valle del Cauca ,Colombia

 

Natalia Ramírez Giraldo is a promising young researcher in biomedical engineering with demonstrated dedication to advancing knowledge in biomaterials and drug delivery. Her hands-on involvement in multidisciplinary research and commitment to scientific development make her a strong candidate for early-career research recognition.

 

Profile:

orcid

 

Education

Natalia Ramírez Giraldo is a Colombian biomedical engineering professional who has pursued extensive academic and complementary training. She completed various diploma courses at the Unidad Central del Valle del Cauca, including “Investigative Tools for Academic Writing” (2022), “Biomaterials with Emphasis on Tissue Engineering and Regenerative Medicine” (2023), and the “Permanent Research Chair” (2023). Additionally, she engaged in technical training in electronics from institutions such as the Carlos Slim Foundation and P4H Bionics Academy. She has also completed English language training between 2017 and 2020. In 2024 and 2025, she expanded her knowledge further through courses at the National Autonomous University of Mexico (UNAM) and Politécnico Superior de Colombia, focusing on biorobotics, FTIR analysis, cell viability, electrospinning, and academic didactics.

Experience

Natalia has participated in numerous national and international scientific events as a speaker, assistant, and organizer. She presented technical works on the development and analysis of orally disintegrating polymeric films (ODFs) for drug delivery at events such as the REDCOLSI research meetings, REDBIOT Congress, and institutional biomedical weeks. She has collaborated with organizations like Universidad de Cartagena, Universidad Libre, Universidad Santiago de Cali, UNAM, and Unidad Central del Valle del Cauca, where she also contributed as an event organizer.

Skills

Natalia possesses a multidisciplinary skill set that spans biomedical engineering, biomaterials, tissue engineering, and medical device development. Her technical expertise includes drug delivery systems, electrospinning, solvent casting, in vitro cell viability assessment, and FTIR spectroscopy. She also demonstrates proficiency in academic research writing and university-level teaching methodologies, supported by her didactics training.

Awards

Her academic excellence has been recognized multiple times. She received the “Buena Nota” student awards from the Unidad Central del Valle del Cauca in 2023 and 2024, and was honored with the “Excelencia SENA” award in 2021 by the SENA Agropecuario Center in Valle del Cauca.

Research Focus

Natalia Ramírez Giraldo’s research is centered on biomedical engineering, particularly the design and evaluation of biopolymer-based drug delivery systems such as orally disintegrating films. Her work explores the physicochemical properties and release profiles of pharmaceutical compounds like acetaminophen. She emphasizes methods like solvent casting, electrospinning, and additive manufacturing for film development. Her recent peer-reviewed publication in Applied Sciences (MDPI) investigates the in vitro dissolution of polysaccharide-based ODFs.

Publications:

  • Title: Physicochemical Properties and In Vitro Dissolution of Orally Disintegrating Films Based on Polysaccharides: The Case of Acetaminophen

  • Journal: Applied Sciences

  • Year: 2025

 

  • Title: Physicochemical Properties and In Vitro Dissolution of Edible Film Based on Starch-Chitosan Used as a Potential Oral Drug Carrier: Model Using Acetaminophen

  • Platform: Preprints

  • Year: 2025

Conclusion:

Dr. Xiang Que demonstrates an excellent balance of academic rigor, research innovation, and potential for applied impact. His contributions to spatiotemporal analysis and geoinformatics are both timely and critical to advancing the field. With some improvements in collaboration, visibility, and funding, he is well-positioned for continued success in the academic and applied research domains.

Xiang Que | Spatiotemporal data mining | Best Researcher Award

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Assoc. Prof. Dr Xiang Que | Spatiotemporal data mining | Best Researcher Award

Member of the Discipline Inspection Commission Fujian Agriculture and Forestry University ,China

 

Dr. Xiang Que is a highly capable and promising researcher with a strong academic background, interdisciplinary expertise, and significant contributions to the fields of geoinformatics and computational science. His work in spatiotemporal data modeling, GIS, and knowledge graphs has the potential to address complex challenges in various domains. As an associate professor with postdoctoral training abroad, he combines theoretical research with practical applications, making him a suitable candidate for prestigious awards.

 

Profile:

Scopus

orcid

 

Education and Training:

  • Postdoctoral Fellow
    Department of Computer Science, University of Idaho, USA (2022/05 – 2024/05)

  • Ph.D. in Geoinformatics Engineering
    China University of Geosciences, Wuhan, China (2013/09 – 2015/05)

Professional Experience:

  • Associate Professor
    College of Computer and Information Sciences, Fujian Agriculture and Forestry University, China (2022/06 – Present)

  • Assistant Professor
    College of Computer and Information Sciences, Fujian Agriculture and Forestry University, China (2015/12 – 2022/05)

  • Study Abroad Experience

    • Postdoctoral Fellow
      Department of Computer Science, University of Idaho, USA (2022/05 – 2024/05)

      • Funded by the University of Idaho

    • Visiting Scholar
      Department of Computer Science, University of Idaho, USA (2018/12 – 2019/12)

      • Funded by the China Scholarship Council

Skills and Expertise:

Prof. Ciruela is a leading expert in neuropharmacology, molecular pharmacology, and bioengineering, with deep specialization in GPCR biology. His technical expertise includes fluorescence-based biosensors, photopharmacology, and bioengineered tools for studying neurotransmission, pain, and neurological disorders. He also has extensive experience in coordinating interdisciplinary teams, clinical trials, and translational research.

Research Focus:

  • Spatiotemporal Weighted Regression and Applications

  • GIS Spatiotemporal Data Modeling and Analysis

  • Spatiotemporal Data Mining

  • Parallel Computing

  • Knowledge Graphs

Awards and Honors: 

  • Research on Multi-Scale Spatiotemporal Weighted Regression and Its Parallel Calibration Algorithm
    National Natural Science Foundation of China (NSFC), China (No. 42202333)

    • Sole PI: Xiang Que

    • Duration: 2023/01 – 2025/12

    • Amount: ¥300,000

  • OpenMindat – Open Access and Interoperable Mineralogy Data to Broaden Community Access and Advance Geoscience Research
    National Science Foundation (NSF), United States (No. 2126315)

    • Senior Personnel (Postdoc): Xiang Que

    • Duration: 05/2022 – 05/2024

    • Amount: $792,475

  • Leveraging Big Data to Improve Prediction of Tick-Borne Disease Patterns and Dynamics
    National Science Foundation (NSF), United States (No. 2019609)

    • Senior Personnel (Postdoc): Xiang Que

Publications:

  • Que X, Huang J, Ralph J, Zhang J, Prabhu A, Morrison S, Hazen R, Ma X. (2024). Using adjacency matrix to explore remarkable associations in big and small mineral data. Geoscience Frontiers, 15(5), 101823.

  • Wang Z, Que X (corresponding author), Li M, Liu Z, Shi X, Ma X, Fan C, Lin Y. (2024). Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns. Ecological Informatics, 84, 102870.

  • Hong Y, Que X, Wang Z, Ma X, Wang H, Salati S, Liu J. (2024). Mangrove extraction from super-resolution images generated by deep learning models. Ecological Indicators, 159, 111714.

  • Que X, Ma C, Ma X, Chen Q. (2021). Parallel computing for fast spatiotemporal weighted regression. Computers & Geosciences, 150, 104723.

  • Que X, Ma X, Ma C, Chen Q. (2020). A Spatiotemporal Weighted Regression Model (STWRv1.0) for Analyzing Local Non-stationarity in Space and Time. Geoscientific Model Development Discussions, 2020, 1-33.

 

Conclusion:

Dr. Xiang Que demonstrates an excellent balance of academic rigor, research innovation, and potential for applied impact. His contributions to spatiotemporal analysis and geoinformatics are both timely and critical to advancing the field. With some improvements in collaboration, visibility, and funding, he is well-positioned for continued success in the academic and applied research domains.

Francisco Ciruela|Bioengineering| Best Researcher Award

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Prof.Francisco Ciruela|Bioengineering| Best Researcher Award

Professor of Pharmacology,University of Barcelona,Spain

 

Professor Francisco Ciruela has built an outstanding research career around the pharmacological modulation of GPCRs, particularly through photopharmacology and bioengineering, with far-reaching implications in pain, neurodegeneration, and dermatological disorders. His publication impact, scientific leadership, and multidisciplinary collaborations reflect excellence, innovation, and relevance in his field.

 

Profile:

Scopus

 

Education and Training:

Prof. Francisco Ciruela received his Bachelor of Science in Biological Sciences from the University of Barcelona in 1990. He continued at the same institution to earn his Ph.D. in Biological Sciences in 1995. His academic foundation laid the groundwork for an accomplished career in pharmacology and neuroscience, particularly in the study of G protein-coupled receptors (GPCRs).

Professional Experience:

Prof. Ciruela has held various prestigious research and academic positions. He was an EMBO Fellow and then a Wellcome Trust Fellow at the University of Oxford between 1997 and 2000. In 2002, he began his academic career as an Assistant Professor at the University of Barcelona, later becoming a “Ramón y Cajal” Researcher from 2003 to 2007. He undertook a short-term fellowship in 2007 at Harvard Medical School and served as a Special Visiting Researcher in Brazil between 2012 and 2015. Since 2013, he has been a Guest Professor at Ghent University, Belgium. He has also served as the Rector’s Delegate for Strategic Research Actions at the University of Barcelona (2017–2020) and is currently the Coordinator of the Neuroscience Program at IDIBELL, Spain.

Skills and Expertise:

Prof. Ciruela is a leading expert in neuropharmacology, molecular pharmacology, and bioengineering, with deep specialization in GPCR biology. His technical expertise includes fluorescence-based biosensors, photopharmacology, and bioengineered tools for studying neurotransmission, pain, and neurological disorders. He also has extensive experience in coordinating interdisciplinary teams, clinical trials, and translational research.

Research Focus:

The core of Prof. Ciruela’s research lies in understanding GPCRs to develop novel pharmacological strategies for treating neurological, neuropsychiatric, and pain-related disorders. His work integrates advanced bioengineering techniques with pharmacology to create targeted and photo-controllable therapies. His lab also focuses on developing innovative technologies such as light-sensitive ligands and biosensors, bridging basic neuroscience with clinical applications.

Awards and Honors: 

Prof. Ciruela’s work has been widely recognized. He received the Pharmacology Award from the Spanish Society of Pharmacology and Almirall Laboratories in 2008. In 2010, he was honored with the “ICREA Acadèmia” award from the Catalan Institution for Research and Advanced Studies. In 2017, he received the prestigious Grünenthal Foundation Award for his contributions to pain research.

Publications:

1. Temporomandibular disorders and mental health: shared etiologies and treatment approaches

Authors: Wan, Jiamin; Lin, Jiu; Zha, Tingfeng; Chen, Qianming; Chen, Xiaoyan

Year: [Not specified]

Citations: 0

Type: Article • Open access

2. Striatal dopamine D2, adenosine A2A and cannabinoid CB1 receptors balance as a target against non-cognitive symptoms in a mouse model of Alzheimer’s disease

Authors: Gómez-Acero, Laura; Sánchez-Fernández, Nuria; Subirana, Paula; Ciruela, Francisco; Aso, Ester

Journal: Pharmacology, Biochemistry and Behavior

Year: 2025

Citations: 0

Type: Article • Open access

3. Nanoarchitecture of CaV2.1 channels and GABAB receptors in the mouse hippocampus: Impact of APP/PS1 pathology

Authors: Martín-Belmonte, Alejandro; Aguado, Carolina; Alfaro-Ruíz, Rocío; Ciruela, Francisco; Luján, Rafael

Journal: Brain Pathology

Year: 2025

Citations: 1

Type: Article • Open access

4. Author Correction: Systematic protein-protein interaction mapping for clinically relevant human GPCRs

Authors: Sokolina, Kate; Kittanakom, Saranya; Snider, Jamie D.; Jurisica, Igor; Stagljar, Igor

Journal: Molecular Systems Biology (Correction for 2017 article)

Year: [Correction date not specified]

Citations: 0

Type: Erratum • Open access

5. Lessons from the physiological role of guanosine in neurodegeneration and cancer: Toward a multimodal mechanism of action?

Authors: Tasca, Carla Inês Inês; Zuccarini, Mariachiara; Di Iorio, Patrizia; Ciruela, Francisco

Year: [Not specified]

Citations: 1

Type: Review

6. The dopaminergic effects of esketamine are mediated by a dual mechanism involving glutamate and opioid receptors

Authors: Rizzo, Arianna; Garçon-Poca, Maria Zelai; Essmann, Amelie; Ciruela, Francisco; Bonaventura, Jordi

Journal: Molecular Psychiatry

Year: 2025

Citations: 0

Type: Article • Open access

 

Conclusion:

Prof. Ciruela exemplifies the qualities of a best-in-class researcher: scientific excellence, innovation, interdisciplinary impact, and translational relevance. His record aligns perfectly with the aims of a prestigious research recognition award and would reflect well on any institution granting it.

Computer technology for design and simulation

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Introduction of Computer technology for design and simulation

Introduction:

In the ever-evolving realm of Mechanical Engineering, Computer Aided Design (CAD) and advanced computer technologies have become the cornerstone of innovation. The fusion of computer technology with design and simulation has redefined how mechanical systems are conceptualized, visualized, and optimized. This synergy of creativity and computation is at the heart of cutting-edge research in the field, pushing the boundaries of what’s possible.

Virtual Prototyping and Digital Twins 🌐👥:

Delve into the world of virtual prototyping and digital twins, where computer technology enables the creation of virtual replicas for real-time analysis, monitoring, and optimization of mechanical systems.

High-Performance Computing in Mechanical Design 💻⚙️:

Explore the utilization of high-performance computing (HPC) for complex simulations, allowing engineers to tackle intricate mechanical problems with speed and precision.

AI-Driven Design Optimization 🤖📈:

Investigate how artificial intelligence (AI) and machine learning algorithms are revolutionizing design optimization processes, streamlining decision-making and enhancing product performance.

Multi-Physics Simulation 🔥❄️:

Discuss advancements in multi-physics simulation, where computer technology facilitates the modeling of intricate interactions between various physical phenomena, enabling more accurate design outcomes.

Human-Machine Collaboration in CAD 🤝🖥️:

Examine the evolving landscape of human-machine collaboration in CAD, emphasizing how designers and engineers work alongside intelligent software to achieve more innovative and efficient mechanical solutions.

These subtopics underscore the pivotal role of computer technology in the realm of Computer Aided Design in Mechanical Engineering, showcasing how it empowers engineers to create, analyze, and optimize mechanical systems in an increasingly complex and interconnected world.