Orchidea Maria Lecian | Physics | Best Researcher Award

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Assoc. Prof. Dr. Orchidea Maria Lecian | Physics | Best Researcher Award  

Assoc. Prof. Dr. Orchidea Maria Lecian, Sapienza University of Rome, Italy

Assoc. Prof. Dr. Orchidea Maria Lecian is a distinguished academic specializing in general relativity, astrophysics, quantum systems, and mathematical physics. She currently holds academic positions at Sapienza University of Rome, Italy, where she is involved with the Department of Clinical and Molecular Medicine, as well as the Department of Civil and Industrial Engineering. Additionally, she has been a visiting professor at Kursk State University in Russia. Her extensive research covers a wide array of topics in theoretical physics, including cosmology, quantum gravity, dark matter, black-hole physics, and advanced mathematical theories like differential geometry and operator algebras.

PROFILE

Orcid Profile

Educational Details

Sapienza University of Rome, Italy

Department of Clinical and Molecular Medicine

Department of Civil and Industrial Engineering

Department of Information Engineering

Professorship in Experimental Physics, Fundamentals of Physics I

Kursk State University, Russia

Faculty of Physics, Mathematics, and Information Sciences

Chair of Algebra, Geometry, and Didactics of Mathematics Theory (Visiting Professor, 2022-2023)

Comenius University in Bratislava, Slovakia

Faculty of Mathematics, Physics, and Informatics

Department of Theoretical Physics and Physics Education (KTFDF)

Professional Experience

Present:

Associate Professor in the Department of Clinical and Molecular Medicine, Sapienza University of Rome, specializing in experimental physics and applied sciences.

1 March 2023–31 August 2024:

Professorship in Fundamentals of Physics I, Department of Civil and Industrial Engineering, Sapienza University of Rome.

Professorship in Fundamentals of Physics I, Department of Information Engineering, Sapienza University of Rome.

1 October 2022–28 February 2023:

Visiting Professor, Faculty of Physics, Mathematics, and Information Sciences, Kursk State University, Russia, as part of the Ministry of Science and Higher Education of the Russian Federation’s educational program for foreign nationals.

Research Interests

General Relativity & Relativistic Astrophysics: Exploration of gravitational phenomena in the universe, including black holes, modified theories of gravity, and early cosmology.

Quantum Gravity & Quantum Cosmology: Study of the unification of quantum mechanics and general relativity, addressing issues such as dark matter and the nature of quantum systems.

Mathematical Physics & Applied Mathematics: Areas such as differential geometry, group theory, algebraic geometry, and quantum field theory.

Astrophysical Systems: Analysis of galactic and extragalactic physics, focusing on optical systems and high-energy phenomena.

Applied Instrumentation & Satellite Experimentation: Development of experimental setups and instruments for space and laboratory research, particularly in cosmology and particle physics.

Top Notable Publications

Generalized Schwarzschild Spacetimes with a Linear Term and a Cosmological Constant

Journal: Universe

Publication Date: October 30, 2024

DOI: 10.3390/universe10110408

The Generalised Reissner–Nordstrom Spacetimes, the Cosmological Constant and the Linear Term

Journal: Computation

Publication Date: August 11, 2023

DOI: 10.3390/computation11080157

Retrieval of phonemes and Kohonen algorithm

Preprint

Publication Date: July 14, 2023

DOI: 10.32388/3XRVTN

Stellar dynamics

Preprint

Publication Date: June 21, 2023

DOI: 10.32388/DZFWDZ

Depolarization block of interneurons

Preprint

Publication Date: June 6, 2023

DOI: 10.32388/XZ2QVQ

The Desymmetrized PSL(2, Z) Group; Its ‘Square-Box’ One-Cusp Congruence Subgroups

Conference Paper: Proceedings of the International Conference on Mathematical and Analytical Methods

Publication Date: April 28, 2023

DOI: 10.3390/IOCMA2023-14428

The Formalism of Milky-Way Antimatter-Domains Evolution

Journal: Galaxies

Publication Date: March 22, 2023

DOI: 10.3390/galaxies11020050

Baryon-Antibaryon Annihilation in the Evolution of Antimatter Domains in Baryon-Asymmetric Universe

Journal: Universe

Publication Date: September 15, 2021

DOI: 10.3390/universe7090347

Effects of Baryon-Antibaryon Annihilation in the Evolution of Antimatter Domains in Baryon Asymmetrical Universe

Conference Paper: Proceedings of the European Conference on Cosmology

Publication Date: February 22, 2021

DOI: 10.3390/ECU2021-09267

Conclusion

Assoc. Prof. Dr. Orchidea Maria Lecian’s extensive research output, interdisciplinary expertise, and international academic contributions make her an exemplary candidate for the Best Researcher Award. Her work not only advances understanding in core areas of physics and mathematics but also bridges academic and research communities across borders.

 

 

 

 

Han Jin | Experimental Methods | Best Researcher Award

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Prof. Han Jin | Experimental Methods | Best Researcher Award

Prof. Han Jin, Shanghai Jiao Tong University, China

Prof. Han Jin is the Vice President of the School of Sensing Science and Engineering at Shanghai Jiao Tong University, China. He is recognized as one of the Top Young Talents under China’s National Ten Thousand Talents Plan. Prof. Jin has a strong academic background, having completed his BSc and MChem at the University of Science and Technology of China and his PhD at Kyushu University, Japan. His research focuses on advanced sensor technologies, including electrochemical and optoelectronic sensors for environmental and medical applications. Prof. Jin has received numerous accolades for his contributions to sensor innovation and interdisciplinary research.

PROFILE

Scopus Profile

Educational Details

Prof. Han Jin is an accomplished researcher and associate professor at Shanghai Jiao Tong University, China. He holds a BSc in Applied Chemistry (2007) and an MChem in Nuclear Science and Technology (2009), both from the University of Science and Technology of China. He completed his PhD at Kyushu University, Japan (2012), with a thesis focused on zirconia-based electrochemical gas sensors using a manganese oxide reference electrode.

Professional Experience

Since 2016, Prof. Jin has been an associate professor at Shanghai Jiao Tong University, where he leads research projects in chemical and sensory technologies, focusing on innovative sensor designs and clinical drug trials. His academic duties also include extensive teaching and student mentorship, active participation in university councils, and curriculum development. Previously, he worked as a postdoctoral fellow at the Technion-Israel Institute of Technology (2015-2016), where he advanced early cancer detection methods and non-invasive diagnostics through intelligent sensory devices.

Research Interests

Prof. Jin’s research spans chemical sensor technology, materials chemistry, and medical diagnostics. He specializes in developing high-sensitivity, selective sensors for volatile organic compounds, leveraging advancements in nanotechnology and electrochemical methods for applications in environmental monitoring, medical diagnostics, and industrial safety.

Patents

Prof. Jin holds multiple patents, including a “Preparation Method of Indium Oxide with Stable Morphology and Application” (US 202117483124A) and a “Method for Detecting Organic Volatile Compounds Using Zirconium-based Sensor” (AUS 1732461). His patented work emphasizes innovative sensor materials and methods, from detecting organic compounds in water to creating sensors for hazardous environmental gases and biomedical applications.

Honors and Awards

Prof. Jin has received prestigious recognitions, including the Top Young Talent Award under China’s National Ten Thousand Talents Plan (2023), the China Industry-University-Research Collaboration Innovation Award (2022), and the IAAM Young Scientist Medal in Sweden (2021). These accolades underscore his significant contributions to sensor technology and innovation.

Top Notable Publications

Wang, J., Ni, Y., Li, X., … Zou, J., Jian, J. (2024). Enhancement of nitric oxide sensing performance via oxygen vacancy promotion on strontium-doped LaFeO3 perovskites. Sensors and Actuators B: Chemical, 417, 136157.

Hung, N.P., Van Duy, N., Xuan, C.T., … Jin, H., Hoa, N.D. (2024). Enhanced acetone gas-sensing characteristics of Pd-NiO nanorods/SnO2 nanowires sensors. RSC Advances, 14(18), 12438–12448, 01265.

Zhang, Y., Yao, H., Xue, C., … Jin, H., Cui, D. (2024). Au Nanostars Coated with a Thin Film of MIL-100 (Fe) for SERS-Based Sensing of Volatile Organic Compound Indicators in Saliva. ACS Applied Nano Materials, 7(3), 2735–2743.

Kononov, A., Ganeev, A., Jahatspanian, I., … Jin, H., Vasiliev, A. (2023). Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled air. Results in Chemistry, 6, 101188.

Xu, Y., Liu, Z., Lin, J., … Wang, Y., Jin, H. (2023). Integrated Smart Gas Tracking Device with Artificially Tailored Selectivity for Real-Time Monitoring Food Freshness. Sensors, 23(19), 8109.

Jouyban-Gharamaleki, V., Jin, H., Jouyban, A., Soleymani, J. (2023). The influence of advanced materials on the analytical performance of semiconductor-based gas sensors. Physical Chemistry Chemical Physics, 25(35), 23358–23369.

Zhang, Y., Xue, C., Xu, Y., … Jin, H., Cui, D. (2023). Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection. Nano Research, 16(2), 2968–2979.

Conclusion

Prof. Han Jin’s innovative research, substantial contributions to sensor technology, and global recognition make him an outstanding contender for the Research for Best Researcher Award. His work has significantly impacted both scientific communities and society, making him a role model for future researchers striving for excellence and innovation. Prof. Jin’s career embodies the ideals of continuous growth, interdisciplinary research, and global collaboration—qualities that the Research for Best Researcher Award seeks to recognize.

 

 

 

 

Apostolos Parasyris | Earth | Best Scholar Award

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Mr. Apostolos Parasyris | Earth | Best Scholar Award

Mr. Apostolos Parasyris, University of Strathclyde, United Kingdom

Apostolos Parasyris is a multidisciplinary researcher and engineer specializing in machine learning applications for structural health monitoring, climate impact assessment, and geotechnical engineering. He is a doctoral candidate in Machine Learning at the University of Strathclyde and currently serves as a Research Scientist and Project Manager at Risa Sicherheitsanalysen GmbH in Berlin. With extensive experience in EU research projects and hands-on technical design, he integrates AI-driven models and data science methodologies to enhance infrastructure resilience, sustainability, and safety across various sectors.

PROFILE

Orcid profile

Scopus Profile

Google Scholar Profile

Educational Details

Apostolos Parasyris holds multiple advanced degrees that span a range of engineering disciplines. He earned a Master of Engineering (M.Eng.) in Geotechnical Engineering, followed by two 2-year Master’s degrees—one in Energy (Chemical Engineering) and another in Structural Engineering (Civil Engineering). Currently, he is in the fifth year of his Doctoral studies in Machine Learning, specializing in Electronics and Electrical Engineering at the University of Strathclyde.

Professional Experience

Apostolos has a diverse and extensive professional background, with experience in both research and applied technical projects. As a Structural Designer, he has contributed to high-profile infrastructure projects, including the Kastelli Airport design, Athens Metro Line 4, “Karellas” Bridge widening, and the pedestrian “Hellinikon” Bridge. Currently, Apostolos is a Machine Learning Research Scientist and Project Manager at Risa Sicherheitsanalysen GmbH in Berlin, Germany, where he focuses on applying AI and machine learning to innovative projects such as the Horizon EU projects Preserve (AI models for cybercrime detection), Armadillo (AI-driven portable GHB detection tools for crime prevention), and RiskAdapt (asset-level risk modeling to manage climate-induced extreme events).

In addition to his professional role, Apostolos has also participated in several EU and UK research projects related to infrastructure resilience and structural inspection. Notably, these include RESIST (extreme event resilience in transportation), AEROBI (aerial robotic systems for bridge inspection), RECONASS (construction damage assessment and recovery planning), and ROBINSPECT (robotic inspection for tunnels). He has gained recognition as a researcher, achieving six citations and an h-index of nine. He is an active member of prestigious professional organizations, including the IEEE (Institute of Electrical and Electronics Engineers), GRSS (Geoscience and Remote Sensing Society), and TEE (Technical Chamber of Greece).

Research Interests

Apostolos’s research interests are broad yet cohesive, covering geophysics, geotechnical engineering, and subsurface exploration. His work in structural dynamics, structural health monitoring, and machine learning intersects with his focus on landslide prediction and climate impact analysis. Apostolos is currently involved in projects developing AI-based tools for asset risk assessment under climate-induced extreme events and tools for early detection of slope instabilities linked to landslides and debris flows.

Top Notable Publications

Article
Parasyris, A., Stankovic, L., & Stankovic, V. (2024). A machine learning-driven approach to uncover the influencing factors resulting in soil mass displacement. Geosciences (Switzerland), 14(8), 220.
(Citations: 0)

Conference Paper
Parasyris, A., Stankovic, L., & Stankovic, V. (2024). Dimensionality reduction for visualization of hydrogeophysical and meteorological recordings on a landslide zone. International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1864–1868.
(Citations: 1)

Article
Parasyris, A., Stankovic, L., & Stankovic, V. (2023). Synthetic data generation for deep learning-based inversion for velocity model building. Remote Sensing, 15(11), 2901.
(Citations: 4)

Conference Paper
Parasyris, A., Stankovic, L., Pytharouli, S., & Stankovic, V. (2023). Near surface full waveform inversion via deep learning for subsurface imaging. Expanding Underground – Knowledge and Passion to Make a Positive Impact on the World: Proceedings of the ITA-AITES World Tunnel Congress (WTC 2023), pp. 2829–2836.
(Citations: 1)

Conference Paper
Parasyris, A., & Bairaktaris, D. (2023). Innovative methodology for advanced structural condition assessment of tunnels. Expanding Underground – Knowledge and Passion to Make a Positive Impact on the World: Proceedings of the ITA-AITES World Tunnel Congress (WTC 2023), pp. 2493–2500.
(Citations: 1)

Conclusion

Given his strong academic foundation, interdisciplinary research experience, and contributions to impactful projects, Mr. Apostolos Parasyris presents a compelling case for the Research for Best Scholar Award. His work aligns with the award’s objectives, showcasing innovative approaches to solving complex engineering challenges, particularly in the areas of machine learning applications, structural resilience, and natural disaster prevention. This forward-looking perspective and dedication make him a promising candidate deserving of recognition in his field.

 

 

 

 

 

Bernardine Chidozie | Engineering | Best Researcher Award

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Mrs. Bernardine Chidozie | Engineering | Best Researcher Award

Mrs, Bernardine Chidozie, University of Aveiro, Portugal

Mrs. Bernardine Chidozie is a dedicated researcher and PhD student fellow at the University of Aveiro, Portugal, focusing on digital transformation, simulation modeling, and supply chain optimization, especially in the context of Industry 4.0 and 5.0. Her research employs simulation-based methods and digital tools to improve decision-making and operational performance in complex systems, such as healthcare and sustainable supply chains.

 

PROFILE

Orcid profile

Educational Details

With an academic foundation in engineering, Mrs. Chidozie has contributed significantly to projects like the “Sustainable Supply Chain Management Model for Residual Agroforestry Biomass,” utilizing a web platform to support her research, which began in 2022. Her publications explore the impact of digitalization on supply chains, including the optimization of biomass supply chains for sustainability. She has authored books like Simulation-Based Approaches to Enhance Operational Decision Support in Healthcare 5.0 and published articles in notable journals, such as Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix.

Professional Experience

Professionally, Mrs. Chidozie has been involved in various research and consultancy projects, including industry-relevant studies that analyze the role of simulation and digital transformation in optimizing supply chains. She is an active member of the Council for the Regulation of Engineering in Nigeria (COREN) and collaborates on initiatives that bridge research and real-world applications. Her primary goal is to create innovative, technology-driven strategies to enhance sustainability, efficiency, and resilience in industrial and healthcare sectors.

Research Interests

Digital transformation, simulation modeling, supply chain optimization, Industry 4.0 and 5.0 applications, sustainable biomass supply chains, healthcare systems improvement, and decision-support systems.

Top Notable Publications

Chidozie, B.C. (2024). Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach. Sustainability, Published: 2024-11-07, DOI: 10.3390/su16229709, Source: Crossref.

Chidozie, B.C. (2024). Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach. Logistics, Published: 2024-10-18, DOI: 10.3390/logistics8040107, Source: Crossref.

Chidozie, B.C. (2024). The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study. Production Engineering Archives, Published: 2024-03-01, DOI: 10.30657/pea.2024.30.12, Source: Crossref.

Chidozie, B.C. (2024). Analytical and Simulation Models as Decision Support Tools for Supply Chain Optimization – An Empirical Study. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54671-6_15, ISBN: 9783031546709, Source: Crossref.

Chidozie, B.C. (2024). Impacts of Simulation and Digital Tools on Supply Chain in Industry 4.0. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54664-8_43, ISBN: 9783031546648, Source: Crossref.

Chidozie, B.C. (2024). Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review. (book chapter), DOI: 10.1007/978-3-031-38165-2_78, Source: Crossref.

 Conclusion

Mrs. Bernardine Chidozie’s research achievements, particularly her focus on digital transformation and sustainable supply chains, make her a suitable candidate for the Best Researcher Award. Her work is relevant and impactful, addressing key challenges in Industry 4.0 and Healthcare 5.0. Her publications, ongoing projects, and industry involvement illustrate her dedication to advancing sustainability and efficiency across industries, marking her as a distinguished researcher in her field.

 

 

 

 

 

Dongmin Shin | Engineering | Best Researcher Award

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Assist. Prof. Dr. Dongmin Shin | Engineering | Best Researcher Award

Assist. Prof. Dr. Dongmin Shin, Gyeongsang National University, South Korea

Dongmin Shin, Ph.D., is an Assistant Professor of Smart Energy and Mechanical Engineering at Gyeongsang National University, South Korea. His expertise encompasses mechanical system reliability and energy solutions, backed by extensive experience in research and academia at institutions like KIMM and KAIST.

PROFILE

Orcid profile

Educational Details

Dr. Shin holds a Ph.D. in Mechanical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), completed in August 2019, where he also earned his M.S. in Ocean System Engineering in February 2015. His foundational studies began at Hanyang University, where he received a B.S. in Mechanical Engineering in 2013, with a break for military service from 2008 to 2010.

Professional Experience

Dr. Shin joined Gyeongsang National University as an Assistant Professor in September 2022. Prior to this, he was a Post-doctoral Researcher at the Korea Institute of Machinery & Materials (KIMM), focusing on reliability assessment in mechanical systems. His academic journey includes roles at KAIST, where he served as a Research Assistant Professor at the Institute for Security Convergence Research, and at Kunsan National University as a Research Professor within the Shipbuilding & Ocean Equipment Industry Empowerment Center. Additionally, he has experience as a Teaching and Research Management Assistant at KAIST, supporting courses in Fluid Mechanics, Numerical Analysis, and mechanical practice, and assisting with 2-D and 3-D wave tank research.

Research Interests

Dr. Shin’s research interests lie in mechanical system reliability, smart energy systems, ocean engineering, and fluid mechanics, with applications in mechanical system safety and energy efficiency.

Top Notable Publications

“Design Analysis Using Evaluation of Surf-Riding and Broaching by the IMO Second Generation Intact Stability Criteria for a Small Fishing Boat”

Authors: Not provided

Year: 2024

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse12112066

“Numerical Study on Compact Design in Marine Urea-SCR Systems for Small Ship Applications”

Authors: Not provided

Year: 2023

Journal: Energies

DOI: 10.3390/en17010187

“Numerical analysis of thermal and hydrodynamic characteristics in aquaculture tanks with different tank structures”

Authors: Not provided

Year: 2023

Journal: Ocean Engineering

DOI: 10.1016/j.oceaneng.2023.115880

“Evaluation of Parametric Roll Mode Applying the IMO Second Generation Intact Stability Criteria for 13K Chemical Tanker”

Authors: Not provided

Year: 2023

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse11071462

“Wave-induced vibration of a fully submerged horizontal cylinder close to a free surface: a theory and experiment”

Authors: Not provided

Year: 2022

Journal: Ships and Offshore Structures

DOI: 10.1080/17445302.2021.1950344

“Assessment of Excessive Acceleration of the IMO Second Generation Intact Stability Criteria for the Tanker”

Authors: Not provided

Year: 2022

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse10020229

Conclusion

Assist. Prof. Dr. Dongmin Shin’s strong educational background, extensive professional experience, innovative research contributions, commitment to teaching and mentoring, and effective research management make him a highly suitable candidate for the Best Researcher Award. His achievements across academia, applied research, and project management reflect the qualities recognized by this award, underscoring his potential to continue contributing meaningfully to engineering and research fields.

 

 

 

 

 

Selim Aydin | Nuclear Physics | Best Researcher Award

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 Dr. Selim Aydin | Nuclear Physics | Best Researcher Award

Dr. Selim Aydin, Turkish Energy Nuclear and Mineral Research Agency, Turkey

Dr. selim aydin is an accomplished nuclear physicist specializing in nuclear battery development and radiation material science. Currently, at the Turkish Energy, Nuclear and Mineral Research Agency (TENMAK), he manages cutting-edge projects involving betavoltaic batteries, neutron spectrometry, and radiation detector systems. His expertise spans over a decade in nuclear physics, with a strong foundation in dosimetry and radiation protection.

PROFILE

Scopus profile

Educational Details

Dr. selim aydin holds a Ph.D. in Physics from Yildiz Technical University (2014-2019), where he focused on the development of nuclear battery technologies. His doctoral thesis, titled “Experimental Investigation of Nickel-63 and Promethium-147 Radioisotope-Powered Betavoltaic and Direct Charge Nuclear Batteries,” reflects his work on energy conversion efficiency in nuclear battery systems. He also earned his M.Sc. in Physics from Gazi University (2006-2009), researching algebraic methods in quantum mechanics with a focus on supersymmetric solutions. His academic journey began at Ankara University, where he received his B.Sc. in Physics (2001-2005) and ranked second in his department with a thesis on YBCO superconductors.

Professional Experience

Dr. aydin has been a nuclear physicist at the Turkish Energy, Nuclear and Mineral Research Agency (TENMAK) since 2010. His roles have included serving as a lab supervisor and radiation protection officer in various high-stakes projects. Notably, he led the “Betavoltaic Nuclear Battery Development” project from 2018 to 2023, which involved creating prototypes using beta-radioactive sources like Nickel-63 and Promethium-147. He also worked on the development of a Bonner sphere-based neutron spectrometry system and neutron activation analysis in TENMAK’s Nuclear Research Department. Early in his career (2010-2015), Dr. aydin specialized in dosimetry and calibration within the Secondary Standard Dosimetry Laboratory (SSDL), handling radiological calibrations for X-ray diagnostics and radiotherapy.

Research Interests

Dr. aydin’s research focuses on radiation material science, nuclear battery technology, and neutron spectrometry. He is especially interested in the development of betavoltaic nuclear batteries powered by radioisotopes, radiation detector systems, and semiconductor-based devices for nuclear energy applications. His work also encompasses neutron activation analysis and the macroscopic cross-section measurement for neutron research.

Top Notable Publications

Saltan, F., Şirin, K., Aydın, S., Taşköprü, C., & Yıldırım, Y. (2024). Boron containing polyvinyl alcohol/polyethylene oxide/polyvinyl pyrrolidone composites: Preparation, characterization, gamma radiation shielding and gamma radiation effect on its thermal properties. Radiation Physics and Chemistry, 214, 111261.

Citations: 1

Saltan, F., Şirin, K., Aydın, S., & Yıldırım, Y. (2023). Preparation and characterization of novel boron containing nanocomposites with neutron radiation shielding properties. Polymer Composites, 44(12), 8627–8639.

Citations: 3

Aydın, S., & Kam, E. (2019). Investigation of nickel-63 radioisotope-powered GaN betavoltaic nuclear battery. International Journal of Energy Research, 43(14), 8725–8738.

Citations: 22

Aydın, S., & Kam, E. (2018). Developing of an automation for therapy dosimetry systems by using labview software. Results in Physics, 9, 1007–1015.

Citations: 6

Conclusion

Dr. Selim Aydin’s professional experience, educational background, project leadership, technical skills, and international training align well with the criteria for the Best Researcher Award. His groundbreaking work in nuclear battery technology, neutron spectrometry, and radiation detection exemplifies his dedication to advancing nuclear science. Consequently, Dr. Aydin stands out as a highly qualified candidate for the award due to his impactful research, innovation in nuclear energy solutions, and commitment to international standards in nuclear safety and radiological protection.

 

 

 

 

Adonis Sfera | Molecular Science | Best Faculty Award

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Assist. Prof. Dr. Adonis Sfera | Molecular Science | Best Faculty Award

Assist. Prof. Dr. Adonis Sfera, Patton State Hospital, United States

Dr. Adonis Sfera is a highly experienced psychiatrist and clinical researcher, currently serving as the Chief of Professional Education at Patton State Hospital, USA. With a career spanning over four decades, he has contributed extensively to schizophrenia research and clinical psychiatry, alongside roles in family therapy and psychopharmacological studies. He has led numerous research trials on psychotropic medications and Alzheimer’s disease treatments. Dr. Sfera is dedicated to advancing mental health education and research, and his work has had a significant impact on psychiatric care and medical missions in Mexico. His professional affiliations include the American Society of Addiction Medicine, the American Academy of Psychosomatic Medicine, and the Collegium Internationale Neuro-Psychopharmacologicum (CINP).

PROFILE

Scopus profile

Orcid Profile

Educational Details

M.D. in General Medicine – Institution of Medicine and Pharmacy, Timisoara, Romania (1980).

Residency in Psychiatry – Los Angeles County/University of Southern California Medical Center, Los Angeles, CA (1992-1996).

 

Professional Experience

Dr. Adonis Sfera is a distinguished psychiatrist and healthcare professional with extensive clinical and academic experience. Since 2016, he has served as the Chief of Professional Education at Patton State Hospital. Previously, he held the position of Staff Psychiatrist at Patton State Hospital from 2013 to 2016, affiliated with the University of California, Riverside (UCR). Dr. Sfera’s career in psychiatry spans over several decades, with a focus on schizophrenia research and clinical trials from 1996 to 2013. He has also worked as a research faculty member at the University of Southern California (1996-2006) and served as a child and adolescent psychiatrist for Orange County Mental Health (1996-1998).

Earlier in his career, Dr. Sfera completed residency training in general psychiatry at the Los Angeles County/USC Medical Center, with rotations that included child/adolescent psychiatry, geriatric and forensic psychiatry, emergency psychiatry, and AIDS-related psychiatric care. He has also had extensive experience working in physical therapy and family therapy prior to his specialization in psychiatry.

 Research Interests

Dr. Sfera’s research focuses primarily on schizophrenia, psychopharmacology, and clinical trials related to psychiatric treatments. He has served as the Principal Investigator for multiple significant clinical trials, including studies on agomelatine for Major Depressive Disorder (MDD), Donepezil (Aricept) for Alzheimer’s Disease, and various treatments for schizophrenia. His early work in psychopharmacology involved research on depressive disorders in children and adolescents at the University of Belgrade.

Dr. Sfera is also deeply committed to medical education, with a particular focus on research ethics, clinical rating scales, and psychopharmacology. He has been involved in training and leading courses in research principles, Institutional Review Board (IRB) practices, and psychopharmacology at institutions like the University of Southern California and through the Master Psychopharmacology NEI Program.

Professional Memberships

American Society of Addiction Medicine

American Academy of Psychosomatic Medicine

CINP (Collegium Internationale Neuro-Psychopharmacologicum)

Voluntary Projects

National Association for Mental Illness (NAMI) – 2000–Current

Medical missions to Mexico – 1997–2007

Top Notable Publications

Neurolipidomics in schizophrenia: A not so well-oiled machine

Authors: del Campo, C.M.Z.-M., Nicolson, G.L., Sfera, A.

Journal: Neuropharmacology (2024)

Volume/Issue: 260, 110117

Citations: 0

Novel Insights into Psychosis and Antipsychotic Interventions: From Managing Symptoms to Improving Outcomes

Authors: Sfera, A., Imran, H., Sfera, D.O., Kozlakidis, Z., Hazan, S.

Journal: International Journal of Molecular Sciences (2024)

Volume/Issue: 25(11), 5904

Citations: 0

Insomnia in Forensic Detainees: Is Salience Network the Common Pathway for Sleep, Neuropsychiatric, and Neurodegenerative Disorders?

Authors: Sfera, A., Thomas, K.A., Ogunjale, I.A., Jafri, N., Bota, P.G.

Journal: Journal of Clinical Medicine (2024)

Volume/Issue: 13(6), 1691

Citations: 0

Receptor-Independent Therapies for Forensic Detainees with Schizophrenia–Dementia Comorbidity

Authors: Sfera, A., Andronescu, L., Britt, W.G., Rahman, L., Kozlakidis, Z.

Journal: International Journal of Molecular Sciences (2023)

Volume/Issue: 24(21), 15797

Citations: 0

Long COVID as a Tauopathy: Of “Brain Fog” and “Fusogen Storms”

Authors: Sfera, A., Rahman, L., Zapata-Martín del Campo, C.M., Kozlakidis, Z.

Journal: International Journal of Molecular Sciences (2023)

Volume/Issue: 24(16), 12648

Citations: 4

Recent Developments in Protein Lactylation in PTSD and CVD: Novel Strategies and Targets

Authors: Kozlakidis, Z., Shi, P., Abarbanel, G., Klein, C., Sfera, A.

Journal: BioTech (2023)

Volume/Issue: 12(2), 38

Citations: 1

Microbial Translocation Disorders: Assigning an Etiology to Idiopathic Illnesses

Authors: Sfera, A., Hazan, S., Klein, C., Kozlakidis, Z., Nicolson, G.L.

Journal: Applied Microbiology (2023)

Volume/Issue: 3(1), pp. 212–240

Citations: 1

Microbiota-derived psychedelics: Lessons from COVID-19

Authors: Sfera, A., Hazan, S., Kozlakidis, Z., Klein, C.

Journal: Advances in Clinical and Experimental Medicine (2023)

Volume/Issue: 32(4), pp. 395–399

Citations: 5

Long COVID and the Neuroendocrinology of Microbial Translocation Outside the GI Tract: Some Treatment Strategies

Authors: Sfera, A., Osorio, C., Hazan, S., Andronescu, C.V., Nicolson, G.L.

Journal: Endocrines (2022)

Volume/Issue: 3(4), pp. 0

Citations: 4

Psychotropic drugs interaction with the lipid nanoparticle of COVID-19 mRNA therapeutics

Authors: Sfera, A., Hazan, S., Anton, J.J., Rahman, L., Kozlakidis, Z.

Journal: Frontiers in Pharmacology (2022)

Volume/Issue: 13, 995481

Citations: Not provided in your details

Conclusion

Dr. Adonis Sfera’s qualifications and experience align closely with the criteria for the Research for Best Faculty Award. His longstanding career in psychiatric research, leadership in clinical trials, contributions to academic education, active professional memberships, and commitment to mental health advocacy all position him as an outstanding candidate for this prestigious award.

 

 

 

 

Mehri Aghdamigargari | Mining Engineering | Best Researcher Award

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Mrs. Mehri Aghdamigargari | Mining Engineering | Best Researcher Award

Mrs. Mehri Aghdamigargari, University of Arizona, United States

mehri aghdamigargari is currently a Ph.D. student in Mining Engineering at the University of Arizona, Tucson, United States, where she focuses on sustainable mine production planning. Her research is centered on multi-objective approaches that maximize net present value (NPV) while minimizing social impacts, such as blasting vibrations. She has a strong academic background in industrial engineering and mathematics, with advanced expertise in optimization, statistical modeling, and data analysis.

PROFILE

Scopus profile

Google Scholar  Profile

Educational Details

Ph.D. in Mining Engineering
University of Arizona, Tucson, United States
GPA: 3.66/4
Thesis: “Sustainable Mine Production Planning: A Multi-Objective Approach for Maximizing NPV and Minimizing Social Impacts of Blasting Vibration”
Relevant Courses: Surface Mine Planning & Design, Optimization Methods, Data Analysis, Engineering Statistics
Dates: August 2023 – Present

Master of Science in Industrial Engineering – Economic and Social Systems
Bu-Ali Sina University, Hamedan, Iran
GPA: 17.05/20
Thesis: “Comparison Between the Performance of IMOLP and DNN Methods by Simulating Decision Maker’s Behavior and Proposing a Compound Method” (Grade: 19/20)
Dates: September 2007 – September 2010

Bachelor of Science in Industrial Engineering
Payame Noor University, Tabriz, Iran
GPA: 16.32/20
Final Project: “Using Simulation to Model Six Sigma Indices in Complex Processes with Variable Throughput Probability” (Grade: 20/20)
Dates: September 2015 – September 2017

Bachelor of Science in Mathematics – Teaching
Shahid Rajaee Teacher Training University, Tehran, Iran
GPA: 16.05/20
Dates: September 2002 – June 2006

 

Professional Experience

mehri aghdamigargari has a diverse professional background spanning research, teaching, and academic leadership. From January 2020 to August 2023, she served as a Research Assistant at Nazarbayev University in Nur-Sultan, Kazakhstan. In this role, she spearheaded various optimization projects aimed at enhancing industrial efficiency and reducing waste. Her work involved detailed data analysis and root cause investigation, which she skillfully communicated through comprehensive reports, presentations, and scientific publications—contributing to innovation in industrial systems and process reliability.

Prior to her research role, mehri spent over a decade teaching mathematics and statistics at the high school level in Tabriz, Iran, from September 2006 to January 2020. Her dedication to education helped students build strong foundations in quantitative subjects, preparing them for advanced studies and careers in STEM fields.

Additionally, from September 2011 to September 2016, mehri held a position as a Master & Lecturer at Payame Noor University in Jolfa, Iran, where she taught courses in statistics, operations research, and computer programming within the industrial engineering department. Her role not only involved teaching but also mentoring students in applied engineering practices, further honing her ability to convey complex concepts effectively. Through these experiences, mehri has developed a versatile skill set that integrates academic research, teaching, and industry applications, making her a valuable contributor to both educational and professional fields.

 Research Interests

mehri aghdamigargari’s research interests encompass a range of advanced analytical techniques and methodologies, including operations research, optimization, statistical and computational modeling, and data analysis with a focus on machine learning. Her work in operations research allows her to apply mathematical and analytical methods to make better decisions and solve complex problems in industries such as mining and manufacturing. Her expertise in optimization involves developing and implementing methods to improve efficiency and productivity, often balancing multiple objectives to maximize benefits while minimizing costs or environmental impacts.

In the field of statistical and computational modeling, mehri uses quantitative models to represent real-world processes, providing valuable insights into system behavior and enabling predictive analytics. Additionally, her skills in data analysis and machine learning allow her to process and analyze large datasets to uncover patterns and relationships, driving data-driven decision-making. Her combined expertise across these areas positions her at the forefront of research aimed at improving industrial systems through rigorous, data-informed approaches.

Awards, and Honors

Metallurgical Inputs to Integrated Planning Short Course – April 2024

Mine Engineering Inputs to Integrated Planning Short Course – October 2023

Data Analysis with Python – July 2024

Modeling and Optimization with Python – April 2024

Deep Learning Course – January 2023

Python Comprehensive Course – January 2022

Becoming a Student Assistant: Teaching and Mentoring – November 2022

Leadership Role: Head of Mathematics Department Student Science Group, Shahid Rajaee Teacher Training University (Sep 2004 – Jun 2006)

Editorial Membership: Mathematics Scientific Magazine Editorial Team (Sep 2004 – Jun 2006)

National Mathematics Olympics: Second Rank, City-Level – April 2000

Top Notable Publications

A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic

Authors: J. Valizadeh, M. Aghdamigargari, A. Jamali, U. Aickelin, S. Mohammadi, et al.

Journal: Journal of Cleaner Production

Year: 2021

Volume: 315

Article Number: 128157

DOI: 10.1016/j.jclepro.2021.128157

Sustainability in Long-term Surface Mine Planning: A Systematic Review of Operations Research Applications

Authors: M. Aghdamigargari, S. Avane, A. Anani, S. O. Adewuyi

Journal: Sustainability

Year: 2024

Volume: 16(22)

Article Number: 9769

DOI: 10.3390/su16229769

Predicting the cumulative variation of 3-D mechanical assemblies using an ‘Idea Algebra’ framework

Authors: M. Aghdamigargari, C. Spitas

Journal: Journal of Engineering Design

Year: 2022

Volume: 33(6)

Pages: 441-460

DOI: 10.1080/09544828.2022.2070057

Two new hybrid algorithms for solving multi-objective linear programming problems

Authors: M. Aghdamigargari, A. Kheirkhah

Conference: 4th International Conference on Operation Research

Year: 2011

A hybrid algorithm using interior-point methods and neural networks for solving multi-objective linear programming problems

Authors: M. Aghdamigargari, A. Kheirkhah

Conference: International Conference on Operation Research

Year: 2010

Conclusion

In conclusion, Mrs. Mehri Aghdamigargari is a highly qualified candidate for the Best Researcher Award. Her exceptional academic background, diverse professional experience, and active engagement in research and technological advancements in the fields of industrial optimization and sustainability make her a standout candidate. Additionally, her technical expertise and teaching experience further highlight her contributions to the field of engineering. Therefore, she is highly deserving of this recognition for her ongoing commitment to excellence in research.

 

 

 

 

Likan Zhan | reasoning | Best Researcher Award

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Assist. Prof. Dr. Likan Zhan | reasoning | Best Researcher Award

Assist. Prof. Dr. Likan Zhan, Beijing Language and Culture University, China

Assist. Prof. Dr. likan zhan is a faculty member at Beijing Language and Culture University, specializing in psycholinguistics, language processing, and cognitive linguistics. His research has contributed to understanding the mechanisms underlying language processing and acquisition, with a focus on experimental and applied approaches in psycholinguistics.

PROFILE

Orcid profile

Educational Details

Ph.D. in Psycholinguistics, [Institution, Graduation Year]

M.A. in Linguistics, [Institution, Graduation Year]

B.A. in Language Studies, [Institution, Graduation Year]

Academic Appointment

Assist. Prof. Dr. likan zhan serves as an Assistant Professor in the Department of Linguistics at Beijing Language and Culture University, where he has been an active member since. He is involved in both teaching and research and plays a pivotal role in advancing the university’s linguistics and language sciences programs.

 

Professional Experience

Dr. zhan has been actively engaged in academic and professional activities within the field of psycholinguistics and language processing. He is an ad-hoc reviewer for numerous prominent journals, including Cognition, Language, Cognition and Neuroscience, Journal of Pragmatics, Journal of Psycholinguistic Research, Scientific Reports, and SAGE Open. He also holds a Review Editor position in Language Sciences for Frontiers in Psychology (since 2020). His professional credentials include clinical licenses, such as a licensed examiner for the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-VI) and the Adaptive Behavior Assessment System (ABAS-II), both in their Chinese versions.

Grants, Projects and Awards

Dr. zhan has led or contributed to various research projects, many of which focus on the cognitive mechanisms of language acquisition and processing. His work has received recognition and funding from national and international organizations, supporting his efforts in advancing research in language science.

Research Interests

Dr. zhan’s research interests center around language processing, psycholinguistics, cognitive linguistics, and language acquisition. He employs experimental and applied methods to explore the cognitive processes involved in language understanding and usage, with particular emphasis on cross-linguistic and developmental perspectives.

Professional Activities

Ad-hoc Reviewer for Journals and Conferences

Architectures and Mechanisms for Language Processing (AMLaP) (2024 – Present)

Annual Conference on Human Sentence Processing (HSP) (2024 – Present)

Journal of Psycholinguistic Research (2023 – Present)

Journal of Pragmatics (2022 – Present)

Cognition (2021 – Present)

International Journal of Developmental Disabilities (2021 – Present)

Language, Cognition and Neuroscience (2021 – Present)

First Language (2021 – Present)

Frontiers in Psychology (2020 – Present)

Scientific Reports (2018 – Present)

Journal of Visualized Experiments (2018 – Present)

Language Teaching and Linguistic Studies (In Chinese, 2016 – Present)

SAGE Open (2016 – Present)

Clinical Licenses

Licensed Examiner of Wechsler Preschool and Primary Scale of Intelligence (WPPSI-VI), Chinese Version

Licensed Examiner of Adaptive Behavior Assessment System (ABAS-II), Chinese Version

Editorial Role

Review Editor in Language Sciences, Frontiers in Psychology (2020 – Present)

Organization of International Meetings

Academic Advisory Committee, 24th Annual Conference of the International Association of Chinese Linguistics (IACL-24), held at Beijing Language and Culture University, Beijing, China

 

Top Notable Publications

Zhan, L., Khrennikov, A., & Zhu, Y. (2024). Violation of Leggett–Garg inequality in perceiving cup-like objects and cognitive contextuality. Entropy, 26(11). https://doi.org/10.3390/e26110950

Zhan, L., & Zhou, P. (2023). The online processing of hypothetical events: A visual world eye-tracking study on conditionals and causal statements. Experimental Psychology, 70(2), 108-117. https://doi.org/10.1027/1618-3169/a000579

Zhou, P., Shi, J., & Zhan, L. (2021). Real-time comprehension of garden-path constructions by preschoolers: A Mandarin perspective. Applied Psycholinguistics, 42(1), 181-205. https://doi.org/10.1017/S0142716420000697

Zhou, P., Ma, W., & Zhan, L. (2019). A deficit in using prosodic cues to understand communicative intentions by children with autism spectrum disorders: An eye-tracking study. First Language. https://doi.org/10.1177/0142723719885270

Zhou, P., Zhan, L., & Ma, H. (2019). Understanding others’ minds: Social inference in preschool children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 49(11), 4523-4534. https://doi.org/10.1007/s10803-019-04167-x

Zhou, P., Zhan, L., & Ma, H. (2019). Predictive language processing in preschool children with Autism Spectrum Disorder: An eye-tracking study. Journal of Psycholinguistic Research, 48(2), 431-452. https://doi.org/10.1007/s10936-018-9612-5

Zhan, L. (2018). Using eye movements recorded in the visual world paradigm to explore the online processing of spoken language. Journal of Visualized Experiments, 140, e58086. https://doi.org/10.3791/58086

Zhou, P., Ma, W., Zhan, L., & Ma, H. (2018). Using the visual world paradigm to study sentence comprehension in Mandarin-speaking children with autism. Journal of Visualized Experiments, 140, e58452. https://doi.org/10.3791/58452

Zhan, L., Zhou, P., & Crain, S. (2018). Using the visual-world paradigm to explore the meaning of conditionals in natural language. Language, Cognition and Neuroscience, 33(8), 1049-1062. https://doi.org/10.1080/23273798.2018.1448935

Zhan, L. (2018). Scalar and ignorance inferences are both computed immediately upon encountering the sentential connective: The online processing of sentences with disjunction using the visual world paradigm. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.00061

Moscati, V., Zhan, L., & Zhou, P. (2017). Children’s on-line processing of epistemic modals. Journal of Child Language, 44(5), 1025-1040. https://doi.org/10.1017/S0305000916000313

Zhan, L., Crain, S., & Zhou, P. (2015). The online processing of only if- and even if- conditional statements: Implications for mental models. Journal of Cognitive Psychology, 26(7), 367-379. https://doi.org/10.1080/20445911.2015.1016527

Zhou, P., Crain, S., & Zhan, L. (2014). Grammatical aspect and event recognition in children’s online sentence comprehension. Cognition, 133(1), 262-276. https://doi.org/10.1016/j.cognition.2014.06.018

Zhou, P., Crain, S., & Zhan, L. (2012). Sometimes children are as good as adults: The pragmatic use of prosody in children’s on-line sentence processing. Journal of Memory and Language, 67(1), 149-164. https://doi.org/10.1016/j.jml.2012.03.005

Zhou, P., Su, Y., Crain, S., Gao, L., & Zhan, L. (2012). Children’s use of phonological information in ambiguity resolution: A view from Mandarin Chinese. Journal of Child Language, 39(4), 687-730. https://doi.org/10.1017/S0305000911000249

Conclusion

Assist. Prof. Dr. likan zhan’s combination of rigorous academic contributions, professional credentials, editorial responsibilities, and organizational roles in international academic events exemplifies a well-rounded and impactful research profile. His consistent involvement in enhancing academic research standards and contributing to global knowledge sharing makes him an exceptional candidate for the Research for Best Researcher Award.

 

 

Yasir Ramzan | Mathematics | Best Researcher Award

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 Dr. Yasir Ramzan | Mathematics | Best Researcher Award

Mr. Yasir Ramzan, Shanghai University, China

Mr. Yasir Ramzan is a mathematician specializing in applied mathematics and mathematical modeling, currently affiliated with Shanghai University, China. He holds an M.Phil. in Mathematics from the University of the Punjab, Pakistan, where his research focused on control strategies for Lassa fever through mathematical modeling. His research interests include mathematical epidemiology, biological mathematics, and infectious disease modeling. Mr. Ramzan has published multiple research papers on epidemic control, exploring innovative strategies such as nanotechnology and educational campaigns to manage infectious diseases. Known for his problem-solving skills and dedication to continuous learning, he is an emerging researcher in the field of mathematical epidemiology.

PROFILE

Orcid profile

Educational Details

Dr. Yasir Ramzan is a mathematician with a strong focus on applied mathematics and mathematical modeling, particularly in epidemiology and infectious disease control. He completed his M.Phil. in Mathematics from the University of the Punjab, Lahore, Pakistan, in 2023 with a thesis on “Mathematical Modeling and Control Strategies for Lassa Fever,” achieving a CGPA of 3.37/4.0. He also holds a BS in Mathematics from Government College University Faisalabad, where he graduated with a CGPA of 3.90/4.0 and was a position holder.

Professional Experience

Dr. Ramzan served as a Lecturer on a contract basis at Govt. Graduate College in Shorkot City, Jhang, Pakistan, where he taught mathematics from February to May 2021. His professional skills include effective time management, leadership, communication, and a continuous commitment to learning and innovation. Among his honors, he holds an English Language and Personality Grooming Certificate, character certificates from his educational institutions, and a laptop awarded by the Government of Punjab.

Research Interests

Dr. Ramzan’s research interests lie in applied mathematics, mathematical epidemiology, and biological mathematics, with a focus on mathematical modeling to understand and control the spread of infectious diseases. He has published several research papers, including studies on epidemic control strategies for Lassa fever, transmission patterns and nanotechnology applications in malaria control, and epidemic management for rabies-related disorders. His research often explores innovative epidemic management techniques, including nanotechnology and educational campaigns.

Technical Skills

Dr. Ramzan is an emerging researcher and educator dedicated to the advancement of mathematical approaches to public health and epidemic control, combining technical expertise with a passion for problem-solving and continuous learning.

Top Notable Publications

A Mathematical Lens on the Zoonotic Transmission of Lassa Virus Infections Leading to Disabilities in Severe Cases

Authors: Yasir Ramzan, Aziz Ullah Awan, Muhammad Ozair, Takasar Hussain, Rahimah Mahat

Year: 2024

Journal: Mathematical and Computational Applications

DOI: 10.3390/mca29060102

Rabies-related Brain Disorders: Transmission Dynamics and Epidemic Management via Educational Campaigns and Application of Nanotechnology

Authors: Kamel Guedri, Yasir Ramzan, Aziz Ullah Awan, Bandar M. Fadhl, Mowffaq Oreijah

Year: 2024

Journal: The European Physical Journal Plus

DOI: 10.1140/epjp/s13360-023-04796-3

Modeling Transmission Patterns and Optimal Control through Nanotechnology: A Case Study of Malaria Causing Brain Disabilities

Authors: Kamel Guedri, Yasir Ramzan, Aziz Ullah Awan, Bandar M. Fadhl, Mowffaq Oreijah

Year: 2024

Journal: Journal of Disability Research

DOI: 10.57197/jdr-2023-0061

Deciphering the Enigma of Lassa Virus Transmission Dynamics and Strategies for Effective Epidemic Control through Awareness Campaigns and Rodenticides

Authors: Yasir Ramzan, Aziz Ullah Awan, Muhammad Ozair, Takasar Hussain

Year: 2024

Journal: Scientific Reports

DOI: 10.1038/S41598-024-68600-7

WOS UID: WOS:001284942100034

Innovative Strategies for Lassa Fever Epidemic Control: A Groundbreaking Study

Authors: Yasir Ramzan, Aziz Ullah Awan, Muhammad Ozair, Takasar Hussain, Rahimah Mahat

Year: 2023

Journal: AIMS Mathematics

DOI: 10.3934/MATH.20231574

Conclusion

In conclusion, Dr. Yasir Ramzan’s academic qualifications, innovative research, and professional experience position him as a highly deserving candidate for the Research for Best Researcher Award. His work in mathematical modeling for infectious disease control is impactful, and his ongoing commitment to solving global health issues through mathematics makes him an excellent fit for the award.