Ali Hassan Gillani | Pharmacy Practice | Best Researcher Award

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Mr. Ali Hassan Gillani | Pharmacy Practice | Best Researcher Award

Xi’an Jiaotong university | China

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🎓 EDUCATION & PROFESSIONAL DEVELOPMENT 

  • Pharm-D (Doctor of Pharmacy)
    Duration: 2009–2014
    University: Department of Pharmacy, The Islamia University of Bahawalpur, Pakistan
    Division: 1st
    Focus: Comprehensive education in pharmacy with a solid foundation in clinical practices, pharmacology, and patient care.

  • MS in Pharmacy Administration (Pharmacy Practice)
    Duration: Sep 2015–2018
    University: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, China
    Division: 1st
    Focus: Advanced studies in pharmacy administration, healthcare management, clinical pharmacy practices, and drug policy.

  • PhD in Pharmacy Administration (Pharmacy Practice)
    Duration: Sep 2019–Present
    University: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, China
    Focus: Research on the optimization of pharmaceutical practices, drug policy, and their impact on healthcare outcomes.

🔑 SUITABILITY SUMMARY 

Mr. Ali Hassan Gillani is a dedicated and highly qualified individual in the field of Pharmacy Administration. His journey through both educational and research endeavors reflects his deep commitment to advancing healthcare practices, specifically in clinical pharmacy and pharmacy administration. His career is rooted in his passion for teaching, research, and innovation. He is actively engaged in research that evaluates the impact of drug practices on healthcare outcomes, particularly in Pakistan, with a keen interest in addressing public health challenges like diabetes and antibiotic misuse.

🔬 RESEARCH FOCUS ON Pharmacy Practice

  • PhD Thesis Title: Evaluation of antibiotic dispensing and prescribing patterns in Punjab, Pakistan, and research on the impact of drug promotion on antibiotic use.
    Key Focus: Investigating antibiotic use and its implications on public health, including the role of pharmaceutical marketing in prescribing patterns.

  • Master’s Thesis Title: An appraisal to challenges in early diagnosis, care, and management of diabetes mellitus in Punjab, Pakistan.
    Key Focus: Addressing critical gaps in diabetes care and the challenges faced in early diagnosis and treatment in a developing country setting.

🏆HONORS & AWARDS 

  • Chinese Government Scholarship (CSC): Awarded for pursuing Masters at Xi’an Jiaotong University, China.
  • Young Talent Fund: Supported research during Master’s program at Xi’an Jiaotong University, China.
  • Best Master’s Thesis Award (2018): Awarded by Xi’an Jiaotong University for outstanding research and thesis in Pharmacy Administration.

📜 PROFESSIONAL DEVELOPMENT 

  • Active member of academic seminars, workshops, and conferences focusing on pharmaceutical practices and healthcare policy.
  • Ongoing involvement in research development and publishing scholarly papers on improving pharmaceutical education, clinical practices, and drug policy.
  • Passionate about mentoring and training the next generation of healthcare professionals, with an emphasis on clinical pharmacy and ethical prescribing practices.

PUBLICATION TOP NOTES

Drug shortage: causes, impact, and mitigation strategies
    • Author(s): S Shukar, F Zahoor, K Hayat, A Saeed, AH Gillani, S Omer, S Hu, …
    • Journal: Frontiers in Pharmacology
    • Year: 2021
Knowledge, attitudes and practices regarding diabetes in the general population: A cross-sectional study from Pakistan
    • Author(s): AH Gillani, FM Amirul Islam, K Hayat, N Atif, C Yang, J Chang, Z Qu, …
    • Journal: International Journal of Environmental Research and Public Health
    • Year: 2018
Antibiotic self-medication among non-medical university students in Punjab, Pakistan: A cross-sectional survey
    • Author(s): AH Gillani, W Ji, W Hussain, A Imran, J Chang, C Yang, Y Fang
    • Journal: International Journal of Environmental Research and Public Health
    • Year: 2017
Evaluation of disaster medicine preparedness among healthcare profession students: A cross-sectional study in Pakistan
    • Author(s): A Hassan Gillani, MI Mohamed Ibrahim, J Akbar, Y Fang
    • Journal: International Journal of Environmental Research and Public Health
    • Year: 2020
Perspective of key healthcare professionals on antimicrobial resistance and stewardship programs: a multicenter cross-sectional study from Pakistan
    • Author(s): K Hayat, M Rosenthal, AH Gillani, J Chang, W Ji, C Yang, M Jiang, …
    • Journal: Frontiers in Pharmacology
    • Year: 2020
Perspective of Pakistani physicians towards hospital antimicrobial stewardship programs: a multisite exploratory qualitative study
    • Author(s): K Hayat, M Rosenthal, AH Gillani, P Zhai, MM Aziz, W Ji, J Chang, H Hu, …
    • Journal: International Journal of Environmental Research and Public Health
    • Year: 2019

Hamed Amirpour Najafabadi | Animal Breeding | Best Researcher Award

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Dr. Hamed Amirpour Najafabadi | Animal Breeding | Best Researcher Award

Lincoln University | New Zealand

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EARLY ACADEMIC PURSUITS 🎓

Dr. Hamed Amirpour Najafabadi embarked on his academic journey with a keen interest in animal genetics, which shaped his future career and contributions to the field. His early education laid a strong foundation in biology, genetics, and statistical analysis. He pursued advanced degrees in animal genetics, refining his focus on breeding data analysis. The pursuit of higher education was marked by his engagement in rigorous studies that combined theory with hands-on research, helping him understand the complex genetic structures that govern animal breeding and improvement.

PROFESSIONAL ENDEAVORS 🌍

Upon completing his studies, Dr. Amirpour Najafabadi went on to work in various roles that allowed him to apply his academic insights to real-world challenges in animal breeding. He worked closely with agricultural and genetic research teams, implementing advanced data analysis techniques for improving livestock and animal breeding programs. His professional career has also been enriched by his role at Lincoln University in New Zealand, where he has become a recognized expert in animal genetics and breeding. His professional endeavors have bridged the gap between theoretical research and practical applications, benefiting both scientific communities and industry practitioners.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Animal Breeding🔬

Dr. Amirpour Najafabadi’s contributions to the field of animal genetics are vast, with a primary research focus on data analysis, genetic improvement, and breeding programs. His work has advanced our understanding of how genetic markers can be utilized to predict traits and improve the productivity and health of livestock. His research methodology emphasizes the integration of advanced statistical models with genomic data, creating more efficient and sustainable breeding programs. His contributions have not only been foundational to the study of animal genetics but also have practical applications in enhancing the economic viability of animal-based industries.

IMPACT AND INFLUENCE 🌟

Dr. Amirpour Najafabadi’s work has had a profound impact on both academia and industry. Through his research, many animal breeding programs around the world have been optimized to produce higher yields with improved health outcomes for livestock. His focus on sustainable practices has influenced both policy-making and the direction of future research in animal genetics. As a mentor and educator at Lincoln University, he has inspired and guided the next generation of scientists, ensuring that his influence will continue for years to come. His research findings have shaped industry standards and continue to impact practices within the agricultural sector.

ACADEMIC CITATIONS 📚

Dr. Amirpour Najafabadi’s research has garnered significant attention within the scientific community, with his publications being widely cited in journals related to animal genetics, breeding, and data analysis. His academic citations reflect the broad applicability and value of his work, which spans multiple disciplines, including genomics, animal science, and agricultural engineering. His well-regarded publications have contributed to advancing the field, making him a respected figure among fellow researchers and practitioners.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Amirpour Najafabadi’s legacy in the field of animal genetics is firmly established. His work continues to influence the direction of genetic research and breeding programs, particularly in the realm of sustainability and optimization. As advancements in technology, such as CRISPR and artificial intelligence, continue to evolve, Dr. Amirpour Najafabadi is expected to play a pivotal role in shaping how these innovations can be integrated into animal genetics. His ongoing research holds great promise for further improving the efficiency of breeding systems, animal health, and the global food supply.

CONCLUDING THOUGHTS 🧬

Dr. Hamed Amirpour Najafabadi’s academic and professional journey exemplifies the intersection of research, practical application, and lasting impact. Through his groundbreaking work in animal genetics and breeding data analysis, he has made significant contributions to advancing science and improving practices within the industry. As he continues his research at Lincoln University, his future contributions will undoubtedly further influence global agricultural practices and enhance our understanding of genetics in animal breeding.

PUBLICATION TOP NOTES

Impact of Implementing Female Genomic Selection and the Use of Sex-Selected Semen Technology on Genetic Gain in a Dairy Herd in New Zealand
    • Authors: Craig Mckimmie, Mehrnush Forutan, Håvard Melbo Tajet, Alireza Ehsani, Jonathan Hickford, Hamed Amirpour
    • Journal: International Journal of Molecular Sciences
    • Year: 2025-01-24 🗓️
Retraction Note: A new DNA sequence entropy-based Kullback-Leibler algorithm for gene clustering
    • Authors: Houshang Dehghanzadeh, Mostafa Ghaderi-Zefrehei, Seyed Ziaeddin Mirhoseini, Saeid Esmaeilkhaniyan, Ishaku Lemu Haruna, Hamed Amirpour Najafabadi
    • Journal: Journal of Applied Genetics
    • Year: 2024-12 🗓️
Evaluating the Potential of Double-Muscled Angus Sires to Produce Progeny from Dairy Cows to Meet Premium Beef Brand Specifications
    • Authors: Craig Mckimmie, Hamed Amirpour, Hossein Alizadeh, Jon Hickford
    • Journal: Applied Sciences
    • Year: 2024-07 🗓️
Using Australian genomics to predict dairy cattle performance in New Zealand
    • Authors: Craig Mckimmie, Majid Khansefid, Hamed Amirpour-Najafabadi, Sue Hatcher
    • Journal: Animal Production Science
    • Year: 2023-05-01 🗓️
Microsatellite Analysis of Genetic Diversity and Population Structure of the Iranian Kurdish Horse
    • Authors: Motahareh Ala Amjadi, Hassan Mehrbani Yeganeh, Mostafa Sadeghi, Sayed Haidar Abbas Raza, Jinmeng Yang, Hamed Amirpour Najafabadi, Uzma Batool, Hamed Shoorei, Sameh A. Abdelnour, Jam Zaheer Ahmed
    • Journal: Journal of Equine Veterinary Science
    • Year: 2021-03 🗓️

Fathalla Rihan | Statistical Analysis | Best Scholar Award

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Prof. Fathalla Rihan | Statistical Analysis | Best Scholar Award

United Arab Emirates University | United Arab Emirates

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Professor Fathalla A. Rihan: A Distinguished Expert in Mathematical Sciences 📚✨

Current Position(s) & Employment History 🏫

  • Professor of Mathematics (2017–present)
    Department of Mathematical Sciences, College of Science, UAE University, UAE 🇦🇪
  • Professor of Mathematics (2011–present)
    Department of Mathematics (on leave), Faculty of Science, Helwan University, Egypt 🇪🇬
  • Associate Professor (2012–2017)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Assistant Professor (2008–2012)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Associate Professor of Mathematics (2005–2011)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
  • Honorary Research Fellow (2000–2010)
    School of Mathematics, University of Manchester, UK 🇬🇧
  • Assistant Professor (2000–2005)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
    (On leave for Post-Doctoral research in the UK)
  • Senior Research Fellow (2003–2006)
    Salford University, UK, in collaboration with Met Office (Reading University)
  • Research Fellow (2001–2003)
    School of Mathematics, Manchester University, UK
  • Postgraduate Studentship and Lecturer Assistant (1996–2000)
    Department of Mathematics, Manchester University, UK
  • Lecturer (1992–1996)
    Department of Mathematics, Helwan University, Egypt
  • Instructor (1987–1992)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt

Education 🎓

  • Doctor of Science (DSc) in Mathematics (2019)
    National University of Uzbekistan
    Dissertation: “Qualitative and Quantitative Features of Delay Differential Equations and Their Applications”
  • Ph.D. in Mathematics (2000)
    University of Manchester, UK
    Thesis: “Numerical Treatment of Delay Differential Equations in the Biosciences”
  • M.Sc. in Numerical Analysis (1992)
    Helwan University, Egypt
    Thesis: “Spectral and Pseudo-Spectral Method for Solving Partial Differential Equations Using Orthogonal Polynomials”
  • B.Sc. in Mathematics (1985)
    Alexandria University, Egypt, Graduated with Honours

Research Interests  On Statistical Analysis🔬

Prof. Fathalla A. Rihan leads two primary research groups:

  • Numerical Analysis & Mathematical Biology
    • Mathematical modeling of phenomena with time-lags (cell division, population dynamics, infectious diseases, etc.)
    • Numerical treatments for Ordinary, Partial, and Delay Differential Equations (DDEs), as well as Fractional Order Differential Equations
    • Parameter estimation and sensitivity analysis
  • Data Assimilation & Numerical Weather Prediction (NWP)
    • Advanced data assimilation techniques like 3DVar/4D-Var systems
    • Impact of Doppler radial velocities on analysis and forecasting

Research Projects 📊

  • 2024–2026: PI, AUA-UAEU Project: “Continuous Runge-Kutta Methods for Pantograph Delay Differential Equations”
  • 2022–2024: PI, ZU-UAEU Project: “Impact of Stochastic Noise on COVID-19 Dynamics in the UAE”
  • 2022: PI, SURE+ 2022 Program: “Mathematical Modeling of COVID-19 in the UAE”
  • 2021–2023: PI, UPAR-UAEU Project: “Quantitative Features of Delay Differential Equations in Biological Systems”
  • 2017–2019: PI, SQU/UAEU Project: “Delay Differential Models of Immune Response with Viral/Bacterial Infections”

Awards & Recognition 🏆

  • Resignation Award for Publications in Top 5% Journals (2023)
  • Member of Mohammed Bin Rashid Academy of Scientists (2021–present)
  • Top 2% World Scientist (Stanford University 2019–2022)
  • University Excellence Merit Allowance (2019–2020)
  • College Excellence Award for Service (2019–2020)
  • Distinguished Research Awards (2017–2019)
  • College Award for Scholarly Research (2014–2015)

Visitor ships 🌍

  • Research Visitor (2000–2001): Manchester University, UK
  • Research Visitor (2001): University of Hertfordshire, UK
  • Research Visitor (2003–2004): NCAR & Oklahoma Weather Center, USA

Publication Top Notes

Optimal control of glucose-insulin dynamics via delay differential model with fractional-order
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Alexandria Engineering Journal
    • Year: 2025-02 🗓️
Modeling Hybrid Crossover Dynamics of Immuno‐Chemotherapy and Gene Therapy: A Numerical Approach
    • Authors: Muner M. Abou Hasan, Seham M. AL‐Mekhlafi, Fathala A. Rihan, Hannah A. Al‐Ali
    • Journal: Mathematical Methods in the Applied Sciences
    • Year: 2025-02-03 🗓️
Stabilization of bilinear systems with distributed delays using the Banach state space decomposition method
    • Authors: Ayoub Cheddour, Abdelhai Elazzouzi, Fathalla A. Rihan
    • Journal: IMA Journal of Mathematical Control and Information
    • Year: 2024-12-19 🗓️
Continuous Runge–Kutta schemes for pantograph type delay differential equations
    • Authors: Fathalla A. Rihan
    • Journal: Partial Differential Equations in Applied Mathematics
    • Year: 2024-09 🗓️
Fractional order delay differential model of a tumor-immune system with vaccine efficacy: Stability, bifurcation and control
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Chaos, Solitons & Fractals
    • Year: 2023-08 🗓️

 

Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

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Dr. Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

Liwa College, ABU Dhabi | United Arab Emirates

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👩‍🏫 Summary

Dr. Neyara Radwan is an accomplished academic and researcher specializing in Industrial Engineering, Lean Manufacturing, Sustainable Systems, and Renewable Energy. Currently an Associate Professor at Liwa College in Abu Dhabi, UAE, she has an impressive academic history with roles across several prestigious institutions globally, including in Egypt, Saudi Arabia, and India. With a passion for sustainable development and advanced engineering systems, her research focuses on optimization, supply chain management, solid waste management, and energy systems.

🎓 Education

Dr. Radwan holds a Ph.D. in Production Engineering from Benha University, Egypt (2008), with a thesis on CAD of Electro-Chemical Honing Machining and Statistical Modeling. She also earned her M.A. in Production Engineering and Mechanical Design from Mansoura University, Egypt (2004), focusing on utilizing computer-aided expert systems for power transmission shaft design. Additionally, she completed her B.A. in the same field from Mansoura University, where she designed belt conveyors for a sugar factory project.

💼 Professional Experience

Dr. Radwan has an extensive career in academia. She is currently an Associate Professor at Liwa College in Abu Dhabi (2023–Present). Before this, she served as an Associate Professor at the Mechanical Department of Suez Canal University, Egypt (2012–2023), and as a Quality Assurance Officer and Assistant Professor at King Abdulaziz University, Jeddah, KSA (2014–2021). She has also held part-time roles in various academic institutions in Egypt, focusing on industrial engineering and mechanical design.

🏅 Awards & Recognition

Dr. Radwan’s dedication to education and research has earned her numerous awards, including the Excellence in Education Development Award (NCRDSIMS, India, 2018), the Global Service to Humanity Award (ADlafrica, 2021), and the Golden Academic Award (Tradepreneur Global, 2022). She has also been recognized for her outstanding academic leadership, receiving the Global Excellence in Academic Leadership Award (2024) and the Most Outstanding Engineering Educator and Writer Award (2024). Her contributions have been consistently celebrated through international accolades and recognitions.

🔧 Technical Skills

Dr. Radwan’s technical expertise spans several cutting-edge areas, including Optimization, Lean Manufacturing, and Sustainable Engineering. She is skilled in Renewable Energy Systems, Artificial Intelligence Applications in Engineering, Supply Chain Management, and Solid Waste Management. Additionally, her proficiency in CAD Modeling and Statistical Process Control allows her to explore and implement advanced solutions for sustainable systems and optimal operations.

👩‍🏫 Teaching Experience

Dr. Radwan has taught at top-tier universities across multiple countries, specializing in Industrial Management, Mechanical Engineering, and Sustainable Systems. Her teaching includes overseeing quality assurance in MBA/EMBA programs, and she is passionate about helping students connect theoretical knowledge with practical, real-world applications. She is recognized for her engaging teaching style and her ability to inspire the next generation of engineers and leaders.

🔬 Research Interests

Dr. Radwan’s research interests are wide-ranging, with a primary focus on Sustainability, Renewable Energy, and Optimization. Her work also delves into Circular Economy, Waste Management, Energy Systems, and Artificial Intelligence applications in engineering. She is particularly dedicated to researching how these fields intersect with global goals like the Sustainable Development Goals (SDGs), striving for impactful, real-world solutions to critical environmental and societal challenges.

Publication Top Notes

Development of artificial intelligence techniques in Saudi Arabia: the impact on COVID-19 pandemic. Literature review
    • Authors: NB Al-Jehani, ZA Hawsawi, N Radwan, M Farouk
    • Journal: Journal of Engineering Science and Technology
    • Citation: 12
    • Year: 2021 🗓️
Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation
    • Authors: CB Pande, A Srivastava, KN Moharir, N Radwan, L Mohd Sidek, …
    • Journal: Environmental Sciences Europe
    • Citation: 11
    • Year: 2024 🗓️
Heat transfer analysis of single-walled carbon nanotubes in Ellis’s fluid model: Comparative study of uniform and non-uniform channels
    • Authors: M Irfan, I Siddique, M Nazeer, S Saleem, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 10
    • Year: 2024 🗓️
Dynamics of magnetized viscous dissipative material of hybrid nanofluid with irregular thermal generation/absorption
    • Authors: M Yasir, S Saleem, M Khan, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 8
    • Year: 2024 🗓️
Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques
    • Authors: SP Shinde, VN Barai, BK Gavit, SA Kadam, AA Atre, CB Pande, SC Pal, …
    • Journal: Environmental Sciences Europe
    • Citation: 8
    • Year: 2024 🗓️
A comparative study based on performance and techno-economic analysis of different strategies for PV-Electrolyzer (green) hydrogen fueling incinerator system
    • Authors: OM Butt, MS Ahmad, TK Lun, HS Che, H Fayaz, N Abd Rahim, KKK Koziol, …
    • Journal: Waste Management
    • Citation: 8
    • Year: 2023 🗓️

Mourad Khayati | Data Quality | Best Researcher Award

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Dr. Mourad Khayati | Data Quality | Best Researcher Award

University of Fribourg | Switzerland

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🌟 EARLY ACADEMIC PURSUITS 

Dr. Mourad Khayati began his academic journey with a solid foundation in computer science, obtaining his MSc in 2007 from the University of Jendouba (Tunisia) and INSA-Lyon (France). His passion for data analytics led him to pursue a PhD in Computer Science from the University of Zürich (Switzerland), where he earned his doctorate in 2015 under the guidance of Prof. Michael H. Böhlen. His early research explored matrix decomposition techniques, particularly in recovering missing values in time series data, an area that would become central to his career. 🎓

🏢 PROFESSIONAL ENDEAVORS AND ACADEMIC LEADERSHIP 

Currently a Senior Lecturer at the University of Fribourg in Switzerland, Dr. Khayati is involved in cutting-edge research and teaching. His expertise spans data analytics, time series repair, benchmarking, and IoT analytics. Over the years, he has not only contributed to significant advancements in these fields but also played an essential role in mentoring the next generation of computer scientists. As a co-supervisor for PhD students and a supervisor for MSc and BSc theses, his leadership in the academic community is evident. 🏫

💡 CONTRIBUTIONS AND RESEARCH FOCUS 

Dr. Khayati’s research focuses on enhancing data analytics with repair functionalities, especially in handling “dirty” data. His work in the field of time series repair, IoT analytics, and benchmarking has provided novel methodologies for improving the accuracy and reliability of data. His contributions have extended to European projects such as the FashionBrain project, where he led the technical efforts to analyze Europe’s vast fashion data universe. Through the development of tools like ImputeBench and the ORBITS framework, Dr. Khayati has pushed the boundaries of data repair, helping businesses and researchers leverage incomplete data effectively. 📊

🌍 IMPACT AND INFLUENCE 

Dr. Khayati’s work has had significant real-world applications. His research in missing data recovery has been applied in diverse fields, from fashion trend prediction to environmental hazard forecasting. His innovative tools have not only shaped academic research but have also influenced data-driven industries, highlighting the value of accurate, repaired datasets. Through collaborations and workshops, Dr. Khayati has spread knowledge on the importance of data integrity and the repair process across global academic and industrial forums. 🌐

🏆 ACADEMIC CITATIONS AND RECOGNITION 

Dr. Khayati’s research has received widespread acclaim, evidenced by his numerous high-impact publications. His work on time series data repair has been published in prestigious journals such as VLDB, IEEE, and the Journal of Knowledge and Information Systems. With a solid record of conference presentations and awards (including the Best Experiments and Analysis Paper Award at PVLDB’20), Dr. Khayati’s contributions are frequently cited by peers, solidifying his reputation as a thought leader in the field. 🏅

💼 LEGACY AND FUTURE CONTRIBUTIONS 

Looking forward, Dr. Khayati’s research continues to evolve, focusing on more efficient and scalable data repair solutions. With his ongoing supervision of PhD and MSc students and involvement in international collaborations, his legacy in the field of data science is secure. His ongoing projects promise to address new challenges, such as multimodal data repair and handling extreme-scale time series data, ensuring his continued influence on the future of data analytics. 🔮

🔑 KEY MILESTONES AND ACHIEVEMENTS 

  • ProvDS Project: Dr. Khayati led a project funded by the Swiss National Science Foundation (SNSF), exploring uncertain provenance management over incomplete linked data, a critical advancement for data provenance and reliability.
  • FashionBrain Project: As the technical lead, Dr. Khayati made significant contributions to understanding Europe’s fashion data universe, combining research and industry application.
  • Awards & Distinctions: He has received several awards for his work, including the Chair Award at ICWE’16 and the Excellence MSc Scholarship from the Tunisian Ministry of Education.
  • Influence in Academic Service: Serving as a committee member for PhD defenses, program committee member for renowned conferences, and as a reviewer for top-tier journals, Dr. Khayati actively shapes the academic landscape.

Publication Top Notes

ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data
    • Authors: Mourad Khayati, Quentin Nater, Jacques Pasquier
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2024 🗓️
SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications
    • Authors: Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2024 🗓️
A survey of multimodal event detection based on data fusion
    • Authors: Manuel Mondal, Philippe Cudré-Mauroux, Hông-Ân Sandlin, Philippe Cudré-Mauroux
    • Journal: The VLDB Journal
    • Year: 2024-12-15 🗓️
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications
    • Authors: Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, Philippe Cudré-Mauroux
    • Journal: Proceedings of the VLDB Endowment (Proc. VLDB Endow.)
    • Year: 2023-07 🗓️
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process
    • Authors: Mourad Khayati
    • Journal: WWW ’21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia
    • Year: 2021 🗓️

 

Dieter C. Broering | Robotic Surgery | Best Researcher Award

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Prof Dr. Dieter C. Broering | Robotic Surgery | Best Researcher Award

King Fasial Specialist Hospital and Research Center Riyadh | Saudi Arabia

Publication Profile

Scopus

Prof. Dr. Dieter C. Broering 🌍🦠

🏅 Summary

Prof. Dr. Dieter C. Broering is a leading expert in organ transplantation with a focus on robotic transplant surgery. He serves as the Executive Director of the Organ Transplant Center of Excellence at King Faisal Specialist Hospital & Research Center and as a Professor of Surgery at Alfaisal University in Riyadh. With a career spanning several decades, Prof. Broering has made groundbreaking advancements, particularly in robotic transplant surgery and split liver transplantation. He has performed over 1,600 robotic procedures and contributed to more than 300 peer-reviewed publications, positioning Saudi Arabia at the global forefront of these innovations. His leadership in transplantation has improved surgical techniques and patient outcomes worldwide.

🎓 Academic Background

  • MD – Heinrich Heine University Düsseldorf, Germany (1990)
  • PD – Habilitation, University of Hamburg, Germany (2005)
  • PhD in Clinical Hepatology – Semmelweis University, Budapest, Hungary (2005)

🏥 Clinical & Academic Appointments

  • 2020 – Present: Executive Director, Organ Transplant Center of Excellence, King Faisal Specialist Hospital, Riyadh
  • 2011 – Present: Professor of Surgery, Alfaisal University
  • 2024: Visiting Professor, National and Kapodistrian University of Athens, Greece
  • 2024: Visiting Professor, University of Naples, Italy
  • 2010 – 2020: Director, Organ Transplant Center, King Faisal Specialist Hospital

💼 Management Expertise

  • Leadership: Executive Director of the Organ Transplant Center, managing a team of 700+ staff
  • Research Oversight: Head of Transplantation Research, King Faisal Specialist Hospital
  • Committee Chair: M&M, Surgical Clerkship, and Transplant Research Committees
  • Strategic Planning: Involved in shaping policies and advancing robotic surgery and liver transplant initiatives

🌍 International Collaborations

  • Established living liver donation programs in Rotterdam and Budapest
  • Developed children’s liver transplant program in Riyadh
  • Pioneered minimally invasive donor nephrectomy with Erasmus University Rotterdam

💡 Funded Research Projects

  • DFG-Project on Living Donations: €60,000 funding for psychosocial study
  • Therapy Optimization in Liver Transplant: €350,000 phase 4 clinical trial
  • Liver Preservation Techniques Study: Focused on preservation with HTK solution
  • International Liver Transplant Research Funding: €9 million for transplantation research
  • Organ Transplant Registry Support: €408,000 for enhancing transplant data infrastructure

🏆 Awards & Honors

  • Presentation Award: Association of Northwest German Surgeons (2003)
  • ILTS Travel Award: 11th Congress of the International Liver Transplantation Society (2005)
  • AST Travel Award: American Society of Transplantation Congress (2005)
  • Best Research Paper: Surgical Research Day, KFSH&RC-Riyadh (2018)
  • Second Prize: Best Research Paper, Surgical Research Day, KFSH&RC-Riyadh (2019)

🌐 Professional Memberships

  • Vice President, International Society of Liver Surgeons (ISLS)
  • Council Member, International Living Donor Liver Transplant Group (iLDLT)
  • American College of Surgeons (ACS)
  • European Society for Organ Transplantation (ESOT)
  • European Liver Transplantation Association (ELITA)

🔬 Key Research Areas

  • Living Donor Liver Transplantation
  • Robotic Transplant Surgery
  • Pediatric Liver Transplantation
  • Surgical Innovation and Technique Refinement
  • Transplant Immunology and Post-Transplant Management

📊 Publications & Citation Metrics

  • Journal Impact Factor (IF): 1,178
  • Peer-Reviewed Publications: 300+
  • Citations: 9,000+
  • H-Index: 50
  • i10-index: 138

Publication Top Notes

Decoding the Clavien-Dindo Classification: Artificial Intelligence (AI) as a Novel Tool to Grade Postoperative Complications
    • Authors: Sebastian Manuel Staubli, Harriet Louise Walker, Fuat Hakan Saner, Michael D. Spiro, D. Aristotle Raptis
    • Journal: Annals of Surgery 🏥
    • Year: 2025 🗓️
Tri-modality Therapy in Esophageal Carcinoma is at a Crossroad
    • Authors: Yogesh Kumar Vashist, Srijan Shukla, Ehab H. Abufarhaneh, Dieter Clemens Bröering, Thammineedi Subramanyeshwar Rao
    • Journal: Annals of Surgical Oncology 🦠
    • Year: 2025 🗓️
Isolated microhematuria in potential kidney donors: evaluating kidney biopsy findings with dipstick urinalysis and urine microscopy results
    • Authors: Ehab A. Hammad, Dalia Abdullah Obeid, Dieter Clemens Bröering, Nancy Jacob, Tariq Zulfiquar Ali
    • Journal: Clinical Kidney Journal 💉
    • Year: 2025 🗓️
Molecular engineering of a fluorescent probe for highly efficient detection of human serum albumin in biological fluid
    • Authors: Raja Chinnappan, Tanveer Ahmad Mir, Shanmugam Easwaramoorthi, Abdullah Mohammed Assiri, Dieter Clemens Bröering
    • Journal: Sensors International 🔬
    • Year: 2025 🗓️
Outcomes of Fully Robotic Recipient Living Donor Liver Transplant in Relation to the Open Approach
    • Authors: Dieter Clemens Bröering, Yasser Mahmoud Elsheikh, M. M. Malagò, Markus Ulrich Boehnert, D. Aristotle Raptis
    • Journal: Transplantation 💉
    • Year: 2024 🗓️
Advanced strategies for intensive care management of acute liver failure
    • Authors: Fuat Hakan Saner, Ecaterina Scarlatescu, Andrew K. Gold, D. Aristotle Raptis, Dmitri S. Bezinover
    • Journal: Bailliere’s Best Practice and Research in Clinical Gastroenterology 🏥
    • Year: 2024 🗓️
Outcomes of Adult Right Graft Living Donor Liver Transplantation Utilizing the Robotic Platform-integrated Real-time Indocyanine Green Fluorescence Cholangiography Compared to the Open Approach
    • Authors: D. Aristotle Raptis, Yogesh Kumar Vashist, Rugved V. Kulkarni, M. M. Malagò, Dieter Clemens Bröering
    • Journal: Annals of Surgery 🏥
    • Year: 2024 🗓️
Revolutionizing Organ Transplantation with Robotic Surgery
    • Authors: Dieter Clemens Bröering, D. Aristotle Raptis, M. M. Malagò, Pierre Alain Clavien
    • Journal: Annals of Surgery 🏥
    • Year: 2024 🗓️
Robotic living donor hepatectomy is associated with superior outcomes for both the donor and the recipient compared with laparoscopic or open – A single-center prospective registry study of 3448 cases
    • Authors: D. Aristotle Raptis, Yasser Mahmoud Elsheikh, Yasir Alnemary, Leen Alshibi, Sami A. Kareem
    • Journal: American Journal of Transplantation 💉
    • Year: 2024 🗓️
Transjugular Intrahepatic Portosystemic Shunt for Budd–Chiari Syndrome: A Single-Centre Experience
    • Authors: Faisal Joueidi, Amnah Alhanaee, Hamad Abdulla Alsuhaibani, Dieter Clemens Bröering, Khalid Ibrahim Bzeizi
    • Journal: Journal of Clinical Medicine 💉
    • Year: 2024 🗓️

Niansheng Tang | Statistical Methods | Best Researcher Award

Published on by Research Data Analysis

Prof Dr. Niansheng Tang | Statistical Methods | Best Researcher Award

Yunan University | China

Publication Profile

Scopus

Orcid

👨‍🏫 Early Academic Pursuits

Prof. Dr. Niansheng Tang is a distinguished scholar affiliated with Yunnan University, China. His academic journey started with a series of significant achievements and certifications, culminating in his specialization in statistical and nonlinear models. His academic foundation includes attending key international training sessions and engaging with vital academic societies that contributed to his development as a respected academic in his field.

💼 Professional Endeavors and Career

Dr. Tang’s career has been characterized by a series of high-level academic positions. From 2000 to 2020, he held various teaching and research roles, including significant appointments at Yunnan University. He has been deeply involved in statistical research, with a focus on nonlinear models, reproductive dispersion, and statistical inference for incomplete data. His roles have also included administrative and leadership positions within academic organizations and societies.

🔬 Research Focus and Contributions

Dr. Tang’s primary research focuses on statistical modeling, particularly in areas like nonlinear regression, incomplete data inference, and applications in social, economic, and biomedical studies. He has been the principal investigator for multiple funded projects from the Natural Science Foundation of China, Yunnan Province, and the National Social Science Foundation of China. His work has contributed to the understanding of complex data analysis and its application in various fields.

🌍 Impact and Influence

Dr. Tang has made significant contributions to the field of statistics, with his work influencing various sectors including social sciences, economics, and biomedical research. He has been involved with several prominent academic journals and has contributed to the dissemination of knowledge in his field. His research has impacted both theoretical and applied aspects of statistical modeling, and his efforts have been acknowledged globally.

📚 Academic Cites and Recognition

Dr. Tang’s research is widely cited, with his work featured in leading international journals. He has received multiple awards for his contributions to statistical theory and its application in diverse fields. His impact in the statistical community is reflected through various accolades, including recognition as a member of several esteemed academic bodies such as the ISI and the IMS.

💻 Technical Skills and Expertise

With expertise in statistical theory and computational methods, Dr. Tang has advanced the understanding of complex data structures through his work on generalized nonlinear models. His technical proficiency extends to research in incomplete data models and the development of inference methods applicable to small sample sizes, particularly in biomedical studies.

🎓 Teaching Experience

Throughout his career, Dr. Tang has played an important role in mentoring and educating the next generation of statisticians. He has taught various courses at Yunnan University and has supervised numerous graduate students. His teaching style combines theoretical knowledge with practical application, making him a highly regarded educator.

🏛️ Legacy and Future Contributions

Dr. Tang’s legacy in the field of statistics is built on his groundbreaking research, dedication to education, and service to academic societies. Moving forward, he aims to continue influencing the development of statistical methodologies and applying them to emerging areas such as big data analysis and artificial intelligence. His future contributions will likely continue to shape both academic and practical advancements in his field.

🔍 Ongoing Research and Projects

Dr. Tang’s recent and ongoing projects focus on the statistical analysis of reproductive dispersion models, social sciences, and biomedical research. His work continues to garner support from national funding bodies and academic institutions, ensuring the continued impact of his research.

Publication Top Notes

Federated Learning based on Kernel Local Differential Privacy and Low Gradient Sampling
    • Authors: Yi Chen, Dan Chen, Niansheng Tang
    • Journal: IEEE Access 📡
    • Year: 2025 🗓️
The impact of green digital economy on carbon emission efficiency of financial industry: evidence from 284 cities in China
    • Authors: Zhichuan Zhu, Yuxin Wan, Niansheng Tang
    • Journal: Environment, Development and Sustainability 🌍💡
    • Year: 2025 🗓️
Tuning-free sparse clustering via alternating hard-thresholding
    • Authors: Wei Dong, Chen Xu, Jinhan Xie, Niansheng Tang
    • Journal: Journal of Multivariate Analysis 📊
    • Year: 2024 🗓️
Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model
    • Authors: Wenting Liu, Huiqiong Li, Niansheng Tang, Jun Lyu
    • Journal: Computational Statistics and Data Analysis 💻📉
    • Year: 2024 🗓️
Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints
    • Authors: Niansheng Tang, Fan Liang, Depeng Jiang
    • Journal: Computational Statistics 💻📊
    • Year: 2024 🗓️

Jingzhao Lu | Environmental Data Analysis | Best Researcher Award

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Dr. Jingzhao Lu | Environmental Data Analysis | Best Researcher Award

Hebei agricultural university | China

Publication Profile

Scopus

Research Gate

EARLY ACADEMIC PURSUITS 🎓

Dr. Jingzhao Lu began his academic journey at Hebei Agricultural University in China, where he initially focused on the environmental sciences. His early studies were deeply rooted in understanding the interaction between land-use types, environmental pollutants, and their broader impact on ecosystem health. With a keen interest in satellite technology and data analytics, he pursued research that involved the application of remote sensing in monitoring and quantifying environmental changes.

PROFESSIONAL ENDEAVORS 💼

Dr. Lu’s professional career has been marked by his dedication to the integration of satellite observations and environmental modeling. He has worked across various academic and research institutions, with Hebei Agricultural University standing as a cornerstone of his professional life. His work has advanced the understanding of environmental data analysis, especially regarding the effects of land-use changes, inorganic pollutants, and CO2 emissions. His professional endeavors include collaborations with national and international research bodies, enhancing global environmental monitoring efforts.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Lu’s research primarily revolves around environmental data analysis, focusing on the quantification and modeling of environmental impacts. His contributions are vast, particularly in the fields of satellite-based observations, land-use classification, and the impact of inorganic pollutants on various ecosystems. His work on CO2 emissions and numerical modeling has opened up new avenues for understanding the complexities of greenhouse gases and their role in climate change. Dr. Lu has published several impactful papers, contributing to the growing body of knowledge on global environmental monitoring.

IMPACT AND INFLUENCE 🌍

Dr. Jingzhao Lu’s work has had a significant impact on both local and global environmental policy and research. His research findings have been used to inform land-use management practices, environmental protection strategies, and climate change mitigation efforts. Through his contributions, he has influenced the direction of future environmental research, particularly in the area of using remote sensing technologies for monitoring environmental changes. His influence can be seen in the growing integration of satellite data into environmental decision-making processes around the world.

ACADEMIC CITATIONS 📚

Dr. Lu’s academic citations highlight his contributions to the field of environmental science. His research papers are widely cited by scholars and researchers in the areas of environmental monitoring, land-use change, and pollutant studies. These citations are a testament to the relevance and quality of his work, as his findings continue to shape ongoing environmental research. He is frequently referenced in studies on satellite observations, CO2 emissions, and pollutant dynamics, establishing him as a leader in his field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Dr. Jingzhao Lu’s legacy will be marked by his profound influence on the field of environmental data analysis and satellite-based observations. His work has laid a strong foundation for future generations of researchers to build upon, especially in addressing the challenges posed by climate change and environmental degradation. Moving forward, Dr. Lu’s future contributions are expected to focus on enhancing environmental models through improved satellite technology, refining CO2 emissions estimates, and advancing numerical models to better predict environmental outcomes. His work continues to inspire new research and collaborations, ensuring that his legacy will endure in the academic and environmental communities for years to come.

Publication Top Notes

Spatial Analysis of Carbon Metabolism in Different Economic Divisions Based on Land Use and Cover Change (LUCC) in China
    • Authors: Cui Yuan, Yaju Liu, Jingzhao Lu, Wei Su
    • Journal: Not specified in the provided text.
    • Year: January 2025
Research on the spatial–temporal distribution of three-dimensional carbon footprint in different urban agglomerations in China
    • Authors: Chengyi Guo, Jingzhao Lu, Cui Yuan, Yanlong Guan
    • Journal: Not specified in the provided text.
    • Year: January 2025
A multivariate analysis of microplastics in soils along the headwaters of Yangtze River on the Tibetan Plateau
    • Authors: Sansan Feng, Hongwei Lu, Yuxuan Xue, Tong Sun
    • Journal: Not specified in the provided text.
    • Year: April 2024
A review of the occurrence, transformation, and removal technologies for the remediation of per- and polyfluoroalkyl substances (PFAS) from landfill leachate
    • Authors: Jingzhao Lu, Hongwei Lu, Dongzhe Liang, Jingyu Li
    • Journal: Not specified in the provided text.
    • Year: May 2023
Population density regulation may mitigate the imbalance between anthropogenic carbon emissions and vegetation carbon sequestration
    • Authors: Dongzhe Liang, Hongwei Lu, Yanlong Guan, Jingzhao Lu
    • Journal: Not specified in the provided text.
    • Year: March 2023

yayong shi | Bioinformatics | Best Researcher Award

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Assoc Prof Dr. yayong shi | Bioinformatics | Best Researcher Award

Peking University People’s Hospital, China

Publication Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Dr. Yayong Shi’s academic journey began with a Bachelor’s in Computer Science and Technology from the University of Science and Technology Beijing (2013-2017), where his interest in the intersection of technology and healthcare first took root. His pursuit of a Master’s degree in the same field at the same university (2018-2021) deepened his expertise in computer science, focusing on medical data analysis. This academic foundation laid the groundwork for his joint Ph.D. program, which he undertook between the University of Science and Technology Beijing and the PLA General Hospital Graduate School (2021-2024). His doctoral research marked a pivotal moment in his career, exploring bioinformatics and medical data, and setting him on a path toward blending technology and healthcare for impactful outcomes.

PROFESSIONAL ENDEAVORS 🏥

Dr. Shi’s professional journey led him to serve as an Associate Researcher at Peking University People’s Hospital & National Trauma Medical Center since July 2024. In this role, he is part of groundbreaking work in the medical field, combining computer science with real-time medical applications to drive early disease diagnosis and medical large model development. His position at one of China’s top medical institutions reflects his expertise in medical data processing and his growing reputation in the research community. This role allows him to further his research on multimodal data fusion and its application to early diagnosis, providing valuable insights into improving healthcare delivery and medical outcomes.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Shi’s research interests revolve around the fusion of multimodal data to enhance early disease diagnosis, particularly in critical medical conditions. His work on Medical Large Models has the potential to revolutionize how data is processed in medical environments, enabling faster and more accurate diagnoses. He is dedicated to improving medical data accuracy and predictive capabilities through advanced machine learning techniques. His contributions also include innovative research on optimizing data imbalances in disease prediction, handling missing labels in electronic health records, and completing medical data features in emergency rescue situations. His work has significantly influenced medical risk identification, offering groundbreaking systems that can process large volumes of healthcare data to identify critical risks in real-time.

IMPACT AND INFLUENCE 🌍

Dr. Shi’s influence extends beyond academic circles into real-world applications, particularly through his involvement in major research projects funded by the National Natural Science Foundation of China and the National Key R&D Program (Precision Medicine). His contributions to the Breast Cancer Onset and Prognosis Tracking System have made strides in precision medicine, where his work is helping shape systems for tracking disease onset and forecasting prognosis. His patents in optimizing medical data handling, especially in irregular medical time-series data and the construction of cross-medical-center chronic disease models, are prime examples of how his research is directly impacting the healthcare sector. Dr. Shi’s innovations are designed to improve efficiency and accuracy in healthcare diagnostics and treatments, offering a global ripple effect in advancing medical technologies.

ACADEMIC CITATIONS 📑

While specific citation counts may not be provided in this text, Dr. Shi’s groundbreaking research in areas such as medical data feature completion and automated discharge monitoring has gained recognition in various academic papers and journals. His work on machine learning and data analysis in healthcare settings has earned citations in studies focused on improving medical technologies, thus contributing to a broader dialogue in the medical technology community.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

Dr. Shi’s legacy in the field of bioinformatics and medical data processing is being shaped by his persistent dedication to enhancing the quality of care through technology. With numerous patents to his name, his innovations are poised to redefine how data is handled in medical contexts. Looking forward, his continued work on medical large models and multimodal data fusion will likely influence the future of precision medicine, further advancing the integration of AI in healthcare. His potential contributions to personalized medicine, where each patient’s treatment is tailored based on data-driven insights, will undoubtedly leave a lasting impact on medical research, care standards, and patient outcomes for generations to come.

IMPORTANT RESEARCH PROJECTS 💡

Dr. Shi has been instrumental in leading major research projects like the Construction and Application of Network Information Support Systems and the Development of Medical Helicopter Systems, both of which aim to improve emergency medical services and infrastructure in China. These projects not only advance his work in medical data processing but also showcase his commitment to improving emergency healthcare systems, potentially saving countless lives by ensuring timely medical interventions.

Publication Top Notes

Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model
    • Authors: Shi, Yayong, et al.
    • Journal: Tsinghua Science and Technology
    • Year: 2023
A Disease Transmission Model Based on Individual Cognition
    • Authors: Nian, Fuzhong, Yayong Shi, Zhongkai Dang
    • Journal: International Journal of Modern Physics B
    • Year: 2020
Modeling Information Propagation in High-Order Networks Based on Explicit–Implicit Relationship
    • Authors: Nian, Fuzhong, Yayong Shi, Jun Cao
    • Journal: Journal of Computational Science
    • Year: 2021
EpiRiskNet: Incorporating Graph Structure and Static Data as Prior Knowledge for Improved Time-Series Forecasting
    • Authors: Shi, Yayong, et al.
    • Journal: Applied Intelligence
    • Year: 2024
COVID-19 Propagation Model Based on Economic Development and Interventions
    • Authors: Nian, Fuzhong, Yayong Shi, Jun Cao
    • Journal: Wireless Personal Communications
    • Year: (Year not fully provided, please verify)
COVID-19 Transmission Dynamics in High-Risk Population Networks
    • Authors: Shi, Yayong, et al.
    • Journal: Control Theory and Applications
    • Year: 2020

Amirhossein Javaherikhah | Blockchain | Best Researcher Award 

Published on by Research Data Analysis

Mr. Amirhossein Javaherikhah | Blockchain | Best Researcher Award 

Universidad Politécnica de Madrid | Spain

Publication Profile

Google Scholar
Biography: Mr. Amirhossein Javaherikhah 🌍🚀
Civil Engineering Professional | Project Management Expert | Future-Oriented Construction Innovator

🔍 Professional Overview

I am a civil engineering professional with extensive experience in project management and building control, specializing in innovative, future-focused construction solutions. My research explores managing sensitive buildings and extraterrestrial habitats, particularly those designed for Mars, by leveraging cutting-edge technologies like blockchain for efficient information management. Through simulation of Mars projects, I have developed strategic methods aimed at enhancing building protection and astronaut safety against extreme conditions. I am committed to advancing sustainable construction practices and using technology to drive transformative innovations in construction management.

🏗️ Work Experience

Construction Consulting
Municipality of Razan, Iran
2017 – 2020
Responsibilities:
• Supervision of infrastructure projects
• Reviewing and writing reports for construction projects

Education (Civil Engineering Courses)
High School, Razan, Iran
2016 – 2019
Responsibilities:
• Teaching civil engineering courses

Site Manager
Kosha Karan Arzhan Company, Karaj, Iran
2014 – 2015
Responsibilities:
• Writing daily reports
• Writing material requisitions
• Ensuring site safety
• Supervision of construction drawings

🎓 Education

Doctor of Philosophy (PhD) in Technological Innovation in Building
Polytechnic University of Madrid, Spain
2021 – 2025
Thesis Research: Presentation of Blockchain-Based Inspection Framework for Managing Building Information Modelling (BIM) on Mars Buildings.

Master’s Degree in Construction Management
Islamic Azad University, Iran
2017 – 2019
Thesis Research: Factors Influencing Safety Enhancement and Cost Reduction in Construction Site Layout

Bachelor’s Degree in Civil Engineering
Hoshmand Sazeh University of Applied Sciences, Iran
2014 – 2016
Thesis Research: Bolt-on Prefabricated Buildings

Associate Degree in Municipal Engineering
Shahrdari University Tehran Applied Science, Iran
2012 – 2014

💼 Additional Skills

  • Software Proficiency:
    • Microsoft Office (Word, Excel, PowerPoint)
    • AutoCAD, Etabs, MSP, BMS, Python
  • Statistical Operations:
    • Fuzzy Delphi, AHP, ANP, MCDM, SWOT, Vicor

🏆 Honors and Recognition On Blockchain

Second Place
3rd Building and Management International Conference (BIMIC) – Nov 2021

🌍 Professional Memberships

• Member, Elite Association Abroad
• Member, American Society of Civil Engineers (ASCE)
• Member, Engineering System Organization (Iran)
• Member, Project Management Institute (PMI)

🤝 Volunteering & Peer Review

• Peer Reviewer, Journal of American Society of Civil Engineers
• Peer Reviewer, Journal of Building Engineering
• Peer Reviewer, Journal of GMSARN International
• Peer Reviewer, Book Publication International

Publication Top Notes

Effective Factors for Implementing Building Information Modeling Using Fuzzy Method to Manage Buildings on Mars
    • Authors: A Javaherikhah, M Valiente Lopez
    • Journal: Buildings
    • Year: 2023
Developing an Inspector-Centric Blockchain-Enabled Conceptual Framework for BIM Management in Mars Buildings
    • Authors: A Javaherikhah, M Valiente Lopez, SR Mohandes
    • Journal: Buildings
    • Year: 2023
An overview of investigating the new structural system (LSF)
    • Authors: A Javaherikhah, S Khezli, MV Lopez
    • Journal: Advances in Building Education
    • Year: 2024
Building information modeling for precast concrete components in developed nations
    • Authors: MV López, A Javaherikhah
    • Journal: Pensar dibujando: Proceedings of XVI International Conference of the …
    • Year: 2024
The Role of Blockchain Technology in the Future of Construction
    • Authors: AH Javaheri Khah, M Valiente López
    • Journal: New Advances in Building Information Modeling and Engineering Management
    • Year: 2023
Technology and Nanotechnology in Smart Buildings
  • Authors: A Javaherikhah, Mercedes Valiente Lopez, Miguel Fernandez Alvarez
  • Journal/Conference: 7th International Conference on Technological Innovation in Building
  • Year: 2022