Assist. Prof. Dr Naveed Ahmed | High-Performance Materials | Best Researcher Award

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Assist. Prof. Dr Naveed Ahmed | High-Performance Materials | Best Researcher Award

Assist. Prof. Dr. Naveed Ahmed is a medical microbiologist and research scientist with extensive expertise in infectious diseases, antimicrobial resistance, vaccine design, and nanomedicine. Currently serving at the University of Tabuk, Saudi Arabia, he combines academic leadership with impactful research collaborations across multiple countries. He has authored numerous high-impact Q1/Q2 publications, holds multiple copyrights, and is actively engaged in global health initiatives, including as a GBD Senior Collaborator and a Registered Scientist (UK). His multidisciplinary work spans from molecular microbiology to translational medicine.

Assist. Prof. Dr Naveed Ahmed | University of Tabuk | Saudi Arabia

Profiles

SCOPUS

ORCID

Education

Dr. Ahmed earned his Ph.D. in Medical Microbiology from Universiti Sains Malaysia, where his doctoral work explored immune checkpoint regulation in EBV-associated cancers. He previously obtained a Master’s in Microbiology from the University of Central Punjab and a BS (Honors) in Medical Laboratory Technology from the University of the Punjab. His education is complemented by certifications from professional bodies such as the Royal Society of Biology (UK) and the Malaysia Board of Technologists.

Experience

Dr. Ahmed’s career spans clinical diagnostics, academic teaching, and advanced research. As Assistant Professor at the University of Tabuk, he teaches medical sciences and contributes to curriculum design and quality assurance. His previous roles include Graduate Research Assistant at Universiti Sains Malaysia, where he managed research grants and ethics approvals, and Laboratory Technologist roles in top medical institutions in Pakistan. He has also served as a visiting lecturer in multiple universities.

Skills and Expertise

Assist. Prof. Dr. Naveed Ahmed possesses a diverse skill set combining technical, analytical, and linguistic competencies. He is fluent in Urdu and Punjabi, advanced in English, and has basic proficiency in Arabic. His programming expertise includes R for data cleaning, visualization, and statistical modelling, with proficiency in conducting systematic reviews and meta-analyses. He is skilled in data analysis software such as R, SPSS, RevMan, CMA, and OpenMeta, and proficient in Microsoft Office and LaTeX for document creation. His laboratory expertise spans advanced instruments including flow cytometry, PCR systems, ELISA readers, HPLC analyzers, hematology analyzers, and automated diagnostic systems.

Honors and Awards 

Assist. Prof. Dr. Naveed Ahmed has earned multiple prestigious recognitions for his academic and research excellence. He received the Graduate on Time Award and was nominated for the Best PhD Thesis Award at Universiti Sains Malaysia. His presentation skills and impactful research earned him the 2nd Place Oral Presentation and Young Investigator Award at the Regional Conference on Molecular Medicine and the National Conference for Cancer Research. He has twice received the Sanggar Sanjung Award for outstanding publications, along with awards for best oral and poster presentations. Additionally, he was awarded the USM Research Assistance Scheme for academic merit.

Research Focus 

Dr. Ahmed’s research focuses on infectious diseases, nanomedicine, antimicrobial resistance, and molecular diagnostics. He integrates in silico, in vitro, and translational approaches to address global health challenges, including the development of nanomaterials for diagnostics and therapeutics, computational vaccine design, and the study of emerging pathogens. His work bridges fundamental science and clinical application, with strong collaborations in Asia, the Middle East, and beyond.

Publications

A Review of In Silico and In Vitro Approaches in the Fight Against Carbapenem-Resistant Enterobacterales
Authors: Absar, M.; Zaidah, A.R.; Ahmed, N.; Nik Hashim, N.H.H.; Yean, C.Y.; Mahmood, A.; Ahmad, S.; Ejaz, H.
Journal: Journal of Clinical Laboratory Analysis (2025)

Carbon-Based Nanomaterials as Multifunctional Particles for Cancer Diagnosis and Treatment
Authors: Naveed Ahmed; Mai Abdel Haleem A. Abusalah; Muhammad Absar; Muhammad Sajid Noor; Bakhtawar Bukhari; Saira Ali Anjum; Kirnpal Kaur Banga Singh; Chan Yean Yean
Journal: Nano LIFE (2025)

The Microbial Sources of Bioactive Compounds: Potential Anticancer Therapeutic Options
Authors: Naveed Ahmed; Mai Abdel Haleem A. Abusalah; Muhammad Absar; Muhammad Hassan Nasir; Anam Farzand; Ijaz Ahmad; Zaineb Sohail; Kirnpal Kaur Banga Singh; Atif Amin Baig; Chan Yean Yean
Journal: Nano LIFE (2025)

ipaH-Targeted Electrochemical Genosensor: A Fast and Reliable Diagnostic Approach for Simultaneous Detection of Shigella Species and Enteroinvasive Escherichia coli
Authors: Pavithrah Shunmugam; Naveed Ahmed; Kirnpal Kaur Banga Singh
Journal: Microchemical Journal (2025)

Prevalence of Leptospirosis Infections Among Humans in Malaysia: A Systematic Review and Meta-Analysis
Authors: Mohd Yusof M.S.; Naveed Ahmed
Journal: Tropical Biomedicine (2025)

Exploring TGF-β Signaling in Benign Prostatic Hyperplasia: From Cellular Senescence to Fibrosis and Therapeutic Implications
Authors: Abida Khan; Hayat Ali Alzahrani; Shatha Ghazi Felemban; Alanood Saeed Algarni; Amani Baqqan S. Alenezi; Mehnaz Kamal; Zia Ur Rehman; Syed Mohammed Basheeruddin Asdaq; Naveed Ahmed
Journal: Biogerontology (2025)

Synthesis, and Biological Activities of Silver Nanoparticles Produced via Green Synthesis Method Using Cordyceps Militaris Aqueous Extract
Authors: Muhammad Afzal; Tayyaba Khan; Noshaba Mehmood; Romaisa Irfan; Ravish Fatima; Zeemal Seemab Amin; Naveed Ahmed
Journal: Nano (2025)

Conclusion

Assist. Prof. Dr. Naveed Ahmed demonstrates all the hallmarks of a top-tier researcher international collaborations, a strong publication record in Q1/Q2 journals, clinical and laboratory expertise, intellectual property generation, and leadership in medical science education. His contributions to infectious disease research, vaccine development, and nanomedicine strongly support his nomination and suitability for the Best Researcher Award.

Mr. Zhaoli Su | Computational Materials Science | Best Researcher Award

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Mr. Zhaoli Su | Computational Materials Science | Best Researcher Award

Mr. Zhaoli Su is a Ph.D. candidate at the Beijing Institute of Technology, specializing in Optoelectronic Information Engineering with a focused application in medical multimodal artificial intelligence. His research bridges deep learning, radiology, and clinical decision support systems to develop intelligent diagnostic tools. With active involvement in medical image-text fusion and language model applications, Mr. Su’s academic pathway reflects innovation in healthcare AI. His early career shows promise in aligning technological advancement with medical utility.

Mr. Zhaoli Su | Beijing Institute of Technology | China

Profile

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Education

Mr. Su is currently pursuing a Ph.D. in Optoelectronic Information Engineering. His academic training covers medical imaging, machine learning, and natural language processing, forming a robust foundation for intelligent healthcare systems development. Throughout his doctoral program, he has engaged in cutting-edge research that integrates clinical data with AI algorithms to solve diagnostic challenges in radiology.

Experience

His research experience includes developing advanced diagnostic systems by integrating medical image processing and large language models. He has contributed to projects involving radiology report generation and modeling disease progression using longitudinal imaging data. Through interdisciplinary collaboration, he applies deep learning techniques to improve the accuracy and efficiency of clinical decision-making. His work reflects a strong commitment to advancing intelligent healthcare technologies through AI innovation and applied research in medical informatics.

Contributions

Mr. Zhaoli Su’s research focuses on the advancement of intelligent systems for medical imaging analysis, with particular emphasis on multimodal data fusion, disease diagnosis, and radiology report generation. Utilizing large-scale clinical datasets and cutting-edge artificial intelligence models, he has developed automated tools that improve diagnostic precision and clinical workflow efficiency. His work is characterized by a strong interdisciplinary approach that combines optoelectronic engineering and healthcare technology. By addressing real-world clinical challenges through innovative AI applications, his contributions pave the way for more accurate, accessible, and scalable diagnostic support systems in modern medicine.

Research Focus

Mr. Su’s primary research areas include Medical Multimodal AI, Radiology Report Generation, and Clinical Decision Support Systems. He works on integrating textual and imaging data using deep learning to improve interpretability and accuracy in clinical diagnostics. His emphasis on modeling disease progression and developing tools for real-time clinical use makes his work valuable in advancing AI-powered healthcare solutions.

Publications

MedKit: Multi-level Feature Distillation with Knowledge Injection for Radiology Report Generation
Authors: Zhaoli Su, Hong Song, Yucong Lin, You Wu, Xutao Weng, Zhongxuan Mao, Bowen Liu, Hongxia Yin, Jian Yang
Journal: Expert Systems with Applications

PRTA: Joint Extraction of Medical Nested Entities and Overlapping Relation via Parameter Sharing Progressive Recognition and Targeted Assignment Decoding Scheme
Authors: Bowen Liu, Hong Song, Yucong Lin, Xutao Weng, Zhaoli Su, Xinyan Zhao, Jian Yang
Journal: Computers in Biology and Medicine

Conclusion

Mr. Zhaoli Su demonstrates strong research potential in the intersection of artificial intelligence and medical imaging. His early contributions to radiology report generation and clinical AI systems are promising and well-aligned with healthcare innovation. He is a fitting candidate for emerging research recognition, particularly the Best Research Scholar Award, and with continued scholarly growth, will be well-positioned for future recognition as a leading researcher in the field.

Dr Maryam Mirfatah | Computational Materials Science | Best Researcher Award

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Dr Maryam Mirfatah | Computational Materials Science | Best Researcher Award

Dr. Maryam Mirfatah 🎓 is a macroeconomist with expertise in monetary policy, exchange rate regimes, and DSGE modeling. She earned her Ph.D. in Economics from Yazd University and has held research positions at leading institutions like the London School of Economics, King’s College London, and currently, Banco de Portugal 🇵🇹. Her work blends empirical policy analysis 📊 with applied macroeconomics, publishing in top journals like Economic Modelling. A UK HEA Fellow 👩‍🏫, she actively contributes to global economic dialogues 🌍 through collaborations and international conferences. Dr. Mirfatah’s research supports sustainable, evidence-based policymaking across diverse economies. 📈📚💡

Dr Maryam Mirfatah, King’s College London, United Kingdom

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🎓 Education

Dr. Maryam Mirfatah holds a Ph.D. in Economics (2019) from Yazd University, Iran, with a thesis focused on “Money Growth Rules in Emerging Economies” 📈🌍. She earned her M.Sc. in Economics (2011) from Azad University of Isfahan and a B.Sc. in Statistics (2006) from Isfahan University of Technology 📊📘. Committed to teaching excellence, she completed a Graduate Certificate in Learning and Teaching (2020) at the University of Surrey, earning Fellowship of the Higher Education Academy (FHEA) 👩‍🏫🌟. Additionally, she participated in the prestigious GTA Workshop at the London School of Economics in 2024 🎓🇬🇧.

🏛️ Experience

Dr. Maryam Mirfatah is a highly accomplished economist with over 15 years of professional experience in academic, policy, and industry roles 🌍📊. She currently serves as a Research Fellow at Banco de Portugal 🏛️ and a Visiting Fellow at King’s Business School, London, focusing on macroeconomic policy and global financial spillovers. Her academic roles span King’s College London, LSE, and City University of London, where she teaches macroeconomics, econometrics, DSGE modeling, and policy design 🎓📈. She also has corporate experience in financial risk analysis and feasibility studies in Iran’s steel and mining sectors 🏗️💼, blending technical expertise with real-world economic application.

🌍 Presentation

Dr. Maryam Mirfatah has actively contributed to prestigious international economic conferences 🌍📈. From 2019 to 2025, she presented at events such as the CEBRA Annual Meeting 🇩🇪, Southern Economic Association® Meetings 🇺🇸, Money Macro and Finance Society Conferences 🇬🇧, and Computing in Economics and Finance Conferences 🇫🇷🇨🇦. Her insights have been showcased at T2M at CREST, France (2025) and India’s ISI Growth Conference (2021) 🇮🇳. Dr. Mirfatah’s work bridges macroeconomics, finance, and computational modeling, earning global recognition and fostering interdisciplinary academic dialogue 📊💡🤝. Her frequent invitations reflect her influence in modern economic theory and policy research.

🔍 Research Focus

Dr. Maryam Mirfatah’s research bridges monetary economics and international macroeconomics with a forward-looking lens on climate change and energy transition 🌱⚡. Her interests span monetary and fiscal policy, open economy macroeconomics, and macro-financial stability 💼🏦. She delves into the interplay between macroprudential frameworks and global economic shocks, analyzing how policies can foster resilience in volatile financial systems 📉🛡️. Her work is crucial in shaping economic strategies that align sustainability with stability, offering insights into managing cross-border financial risks and driving green economic transformation for a more balanced and future-ready world 🌐🌿.

📚 Publications

LAMP, Informality and Monetary Growth Rules in an Emerging Economy
Authors: M. Mirfatah, V.J. Gabriel, P. Levine
Journal: Economic Modelling (2025)
Explores macroeconomic policy and informal sector dynamics in emerging markets.

Optimal Liquidity Provision and Interest Rate Rules: A Tale of Two Frictions
Authors: P. Levine, M. Mirfatah, J. Pearlman, S. Tsiaras
Journal: School of Economics Discussion Papers (2023)
Investigates interest rate policy under market frictions in a DSGE framework.

Monetary Growth Rules in an Emerging Open Economy
Authors: M. Mirfatah, V.J. Gabriel, P. Levine
Journal: School of Economics Discussion Papers (2020)
Focuses on monetary rule design in economies with exchange rate volatility.

Imperfect Exchange Rate Pass-through: Empirical Evidence and Monetary Policy Implications
Authors: V. Gabriel, P. Levine, M. Mirfatah, J. Swarbrick
Year: 2019
Empirical study analyzing how exchange rate fluctuations impact domestic prices.

Analysis of the Impact of Good Governance on the Non-Oil Export of Oil Exporting Countries
Authors: H. Sharifi-Renani, H. Mollaesmaeili-Dehshiri, M. Mirfatah
Journal: Journal of Economic Policy and Research 8(1), 1–10 (2013)
Early work examining governance and diversification in oil-dependent economies.

Mr Sina Soltani | Computational Materials Science | Best Researcher Award

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Mr Sina Soltani | Computational Materials Science | Best Researcher Award

Sina Soltani is a skilled Instrumentation Engineer at Honeywell UOP, Rosemont, IL, USA, with a strong academic foundation in electrical and control engineering 🎓⚙️. He earned his B.S. and M.S. degrees from Shiraz University, Iran, in 2011 and 2013, respectively. His expertise spans estimation theory, nonlinear systems, adaptive control, signal processing, and intelligent data mining techniques 🧠📊🔧. With a deep interest in innovative industrial automation and smart system integration, he combines practical engineering with advanced control strategies to enhance system reliability and efficiency 🛠️💡📈. He continues to contribute to next-generation engineering solutions globally 🌍🔬.

Mr Sina Soltani, Honeywell UOP, United States

Profile

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🎓 Education

 Sina Soltani earned his M.Sc. in Control and Power Engineering from Shiraz University in 2014 🎓⚡ and a B.Sc. in Electrical and Computer Engineering from Shiraz University of Technology in 2012 💡🔌. He also holds a High School Diploma from Naserian High School, completed in 2005 🏫📘. His academic path is further strengthened by a range of professional certifications in PLC programming (TIA Portal, S7-400H), industrial networks (Profibus, Modbus, Ethernet), and electrical safety (ATEX, ISO 9001) 🧠📈⚙️. This blend of formal education and applied training equips him with strong expertise in automation and instrumentation engineering 🔍🔧.

📏 Experience 

Sina Soltani has over a decade of experience in instrumentation, automation, and control engineering ⚙️🔧. At Honeywell UOP 🇺🇸, he leads instrumentation system design and integration for industrial applications. Previously, he served as a senior engineer at Neyriz Ghadir Steel Complex 🇮🇷, focusing on fire & gas systems, PLC/DCS programming, and calibration 🎛️💡. At Piramoon Pardazesh Qeshm, he specialized in radioactive measurement systems and technical documentation 📊📐. He also held roles as a chief electrical engineer at PetroAzma and as a university lecturer 📚🧠. His expertise spans sensors, analyzers, motors, safety systems, and advanced process control 🌍🔍.

🛠️ Technical Skills 

Sina Soltani possesses a robust technical skill set in Instrumentation Engineering, Control Systems, Automation, and Calibration 🧪⚙️📏. He is proficient in configuring and maintaining advanced industrial instruments, including flowmeters, analyzers, and control valves 🔄🔍. With deep knowledge of PLC/DCS systems, loop tuning, and process optimization, he excels at designing and integrating control strategies for complex operations 💻🔧. His expertise includes working with safety standards (NEC, IEC) and executing diagnostics and root-cause analysis for system failures 🚨🛠️. These capabilities make him a valuable asset in driving innovation and operational excellence across modern industrial environments 🌐🏭.

🏆 Achievement 

On May 22, 2024, Sina Soltani was honored with the Top Researcher Award at Neyriz Ghadir Steel Complex, Shiraz, Iran, for his exceptional contributions to Instrumentation and Automation Engineering 🛠️📡. His innovative work in process control systems, real-time signal integration, calibration technologies, and automation reliability set a benchmark in industrial engineering ⚙️📊. This distinction reflects his impact on system accuracy, safety enhancements, and advanced control methodologies 📈🔍. Recognized for combining deep technical expertise with practical problem-solving, he continues to lead advancements in instrumentation for critical infrastructure and manufacturing environments 🌍🔬.

🔬 Research Focus 

Sina Soltani’s research is centered on advanced control systems, signal processing, and intelligent estimation methods for industrial applications 🧠📉⚙️. His recent work includes the application of autoregressive Kalman filters for gamma level measurement and well-log data estimation 🔬📡, as well as the development of fuzzy logic and iterative learning-based control algorithms for instrument air units and harmonic mitigation ⚡🔁. He also explores high-efficiency modeling of electrical machines using subdomain techniques and smart controllers for distributed energy systems ⚙️🔋🌍. His interdisciplinary focus bridges control theory, automation, and real-time optimization in complex engineering systems 🛠️📊🤖.

📚 Publications

Advances in Gamma Level Measurement by Optimal Autoregressive Kalman Filter

Author: S. Soltani
Conference: 2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing

Designing and Implementing an Algorithm Based on an Autoregressive Kalman Filter to Estimate Well-Log Data

Author: S. Soltani
Conference: 2023 9th International Conference on Control, Instrumentation and Automation (ICCIA)

Introducing an Improved Control Method for Instrument Air Unit Based on Fuzzy and Iterative Learning Control

Author: S. Soltani
Journal: ISA Transactions (2025)

An Analytic 2D Subdomain Model for Slotless Electrical Machines with Internal Arc/Cubic Shape Permanent Magnets

Authors: M. Pourahmadi-Nakhli, M.J.K. SeyedHassanDaryanavard, S. Soltani
Journal: Intelligence 1(1), 13–23 (2025)

Fast Subdomain Approximation of Brushless Electrical Machines with Spoke-Hub Permanent Magnets

Authors: M. Pourahmadi-Nakhli, S.H. Daryanavard, M. Jokar-Kohanjani, S. Soltani
Conference: 2024 32nd International Conference on Electrical Engineering (ICEE)

A Novel Fuzzy Type-2 PI Repetitive Control Methodology for Harmonic Elimination in Distributed Generation Sources

Authors: S. Soltani, M. Rayat
Conference: 2024 9th International Conference on Technology and Energy Management (ICTEM)

Dr Adam Ghoneim | Computational Material Science | Best Researcher Award

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Dr Adam Ghoneim | Computational Material Science | Best Researcher Award

Adam Y. Ghoneim is an aerospace research technologist and mechanical engineer specializing in computational fluid dynamics, phase-field modeling, and metal additive manufacturing. He holds a Ph.D. in Mechanical Engineering from the University of Manitoba and has over a decade of experience in applied research, design engineering, and simulation. Adam has contributed to both academia and industry, with expertise in meshfree methods, scientific programming, and advanced manufacturing technologies. He currently leads research and development projects at Red River College Polytechnic and is actively involved in mentoring and teaching.

Dr. Adam Ghoneim, Red River College Polytechnic, Canada

Profile

GOOGLESCHOLAR

🎓 Education

Adam Y. Ghoneim holds a Ph.D. in Mechanical Engineering from the University of Manitoba, earned between 2008 and 2012. Prior to this, he completed both his Master of Science (2006–2008) and Bachelor of Science (2001–2006) in Mechanical Engineering at the same institution..

🌟 Experience

Adam is currently serving as an Aerospace Research Technologist at the Technology Access Center for Aerospace and Manufacturing at Red River College Polytechnic, where he leads CFD and FEA analyses, develops custom scientific software, and oversees 3D printing and scanning applications. Since 2013, he has also held the position of Research Fellow in the Department of Mechanical Engineering at the University of Manitoba, where he has published extensively in high-impact journals. His earlier experience includes a post-doctoral fellowship and research assistantship focusing on phase bonding and simulation modeling. In industry, Adam has served as a Mechanical Design Engineer at MacDon Industries, Buhler Versatile Inc., and New Flyer Industries, as well as a Repair Development Engineer at StandardAero. His roles have spanned CAD modeling, HVAC analysis, tooling design, finite element and fluid dynamics simulations, and product development across various aerospace and manufacturing applications. He also has teaching and mentoring experience at Red River College Polytechnic and the University of Manitoba.

🏅 Awards and Honors

Adam received a High Academic Standing Entrance Award in 2000 and is currently under review for a $100,000 Research Manitoba Grant in 2025, recognizing his continued contributions to applied research and innovation.

📖 Books and Chapters

Dr. Adam Y. Ghoneim has contributed to several conference proceedings and scholarly works, particularly in the domain of materials bonding and computational modeling. His research appears in edited volumes such as the Proceedings of the International Brazing and Soldering Conference and the 7th International Symposium on Superalloy 718 and Derivatives, where he co-authored chapters on transient liquid phase bonding of advanced alloys. These works highlight his expertise in joining technologies for high-performance materials. His book chapter contributions reflect applied research with real-world implications in aerospace and metallurgical engineering.

🔬 Research Focus

His research is centered on Computational Fluid Dynamics and Applied Mathematics. He has a strong emphasis on meshfree phase-field methods used in the study of multiphase flow, phase transformations, and metal additive manufacturing. He has developed innovative simulation techniques using smoothed particle hydrodynamics, radial basis functions, and moving least squares approaches, contributing to a deeper understanding of dendritic solidification and solutal melting.

📘 Publications

Microstructure and mechanical response of transient liquid phase joint in Haynes 282 superalloy
Authors: A. Ghoneim, O.A. Ojo
Year: 2011
Journal: Materials Characterization, Volume 62, Issue 1, Pages 1–7

Numerical modeling and simulation of a diffusion-controlled liquid–solid phase change in polycrystalline solids
Authors: A. Ghoneim, O.A. Ojo
Year: 2011
Journal: Computational Materials Science, Volume 50, Issue 3, Pages 1102–1113

Asymmetric diffusional solidification during transient liquid phase bonding of dissimilar materials
Authors: A. Ghoneim, O.A. Ojo
Year: 2012
Journal: Metallurgical and Materials Transactions A, Volume 43, Pages 900–911

On the influence of boron-addition on TLP bonding time in a Ni₃Al-based intermetallic
Authors: A. Ghoneim, O.A. Ojo
Year: 2010
Journal: Intermetallics, Volume 18, Issue 4, Pages 582–586

A smoothed particle hydrodynamics-phase field method with radial basis functions and moving least squares for meshfree simulation of dendritic solidification
Author: A. Ghoneim
Year: 2020
Journal: Applied Mathematical Modelling, Volume 77, Pages 1704–1741

Mr Aricson Pereira | Composite Materials | Industrial Impact Award

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Mr Aricson Pereira | Composite Materials | Industrial Impact Award

Mr. Aricson Pereira is an accomplished industrial engineer specializing in process optimization, automation, and lean manufacturing. He holds a Master’s in Chemical Engineering from the University of Louisiana at Lafayette and is currently pursuing a Project Management Certification at UC Berkeley. With extensive experience at Procept Biorobotics, Cepheid Inc., and JSR Micro Inc., he has led impactful projects, including ultrasonic welding optimization, industrial automation, and manufacturing process improvements. His innovations have saved millions in costs and boosted productivity, earning him multiple industry awards. His contributions continue to shape the future of industrial engineering. 🏆⚙️🚀

Mr Aricson Pereira, Procept Biorobotics, United States

Profile

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Education 🎓📚

Mr. Aricson Pereira holds a Master of Science in Chemical Engineering from the University of Louisiana at Lafayette (2012-2014) and a Bachelor of Engineering in Chemical Engineering from Pune University (2005-2009). His strong academic foundation in chemical and industrial engineering has enabled him to excel in process optimization, automation, and manufacturing systems. Committed to continuous learning, he is currently pursuing a Project Management Certification from UC Berkeley, further strengthening his expertise in industrial project management and leadership. His educational journey reflects his dedication to driving innovation in engineering and manufacturing. 🏆🔬🏭

Professional Experience 🌍🔬

Mr. Aricson Pereira is currently leading New Product Introduction (NPI) efforts at Procept Biorobotics, specializing in robotic surgery tools. He defines qualification strategies (IQ/OQ/PQ/EQ/PPQ) for new processes and equipment, optimizing process parameters through DOE (Design of Experiments) and statistical analysis. He collaborates with R&D and supplier engineering teams for product design, writes test plans, and ensures compliance with sterilization protocols. His expertise in Gage R&R, Process Capability Analysis (CpK/PpK), and pFMEA has helped develop robust validation plans (MVPs) for manufacturing lines. His key achievement includes leading the Hydros System launch, a milestone in robotic surgery. 🤖📊

Research Focus 🔬⚙️

Mr. Aricson Pereira’s research spans advanced materials, smart manufacturing, and industrial process optimization. His expertise includes electromagnetic wave absorption, nanomaterials for air pollution mitigation, and metamaterial-based selective reflective films. He explores MOFs, perovskite solar cells, and micro/nanobot fabrication for biomedical applications. His industrial research focuses on lean manufacturing, AI-driven inventory management, and sustainable sterilization technologies for medical devices. With a strong foundation in electrorheology and polymer composites, he integrates AI, machine learning, and automation in high-volume manufacturing and supply chains, making a significant industrial impact. His work bridges materials science, engineering, and smart manufacturing. ⚡🏭🤖

Publications 📚🔬

Rose-derived porous carbon and in-situ fabrication of cobalt/nickel nanoparticles composites as high-performance electromagnetic wave absorber
📖 Engineered Science, 2024
✍️ A. Pereira, W. Yu, Z. Wang, J. Lin, Y. Xiao, L. Zhu, J. Huang, Z. Guo, Y. Min

Electrorheology of diamond/PDMS nanofluids in steady and oscillatory shear
📖 Applied Rheology, 2014
✍️ A. Pereira, C. McIntyre

Simulation Calculation of Selective Reflective Films based on Metamaterials and Prediction of Color in Light Filter with Machine Learning
📖 Engineered Science, 2024
✍️ HZ Xiangtian Gao, Ming Yang, Aricson Pereira, Sijie Guo

Exploring the Potential of Transforming Sustainable Waste Thermoplastics into Liquid Petrochemicals
📖 ES Energy & Environment, 2024
✍️ ST Man Vir Singh, Aricson Pereira, Muneesh Sethi, Shashank Srivastav, Khalid …

Progress of MOFs and their derivatives for mitigating air pollution
📖 Advanced Composites and Hybrid Materials, 2024
✍️ X. Duan, A. Pereira, X. Chen, C. Li, E. Witherspoon, E. Burcar, Z. Wang …

Optimizing high-mix, high-volume advanced healthcare manufacturing: implementation and impact of the production wheel framework
📖 International Journal of Lean Six Sigma, 2025
✍️ R. Gurumurthy, A. Pereira, CM Laux

From Concept to Creation: Micro/Nanobot Technology from Fabrication to Biomedical Applications
📖 Engineered Science, 2025
✍️ H. Bahaar, A. Pereira, BS Kumar, SG Reddy, Z. Guo, TX Liu

🔥 Mr. Aricson Pereira’s research contributions span advanced materials, nanotechnology, AI-driven manufacturing, and lean production systems, making him a leading figure in industrial innovation and materials science. ⚙️🏭🤖

Mr Zhaoheng Ling | Materials Science | Best Researcher Award

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Mr Zhaoheng Ling | Materials Science | Best Researcher Award

Mr Zhaoheng Ling, King Abdullah University of Science and Technology, Saudi Arabia

Mr. Zhaoheng Ling, a Ph.D. candidate at King Abdullah University of Science and Technology, specializes in nanomaterials and solar cell technologies. His research has advanced organic photovoltaics (OPVs) through bulk heterojunction modification, interface engineering, and molecular doping, achieving breakthroughs like 20.5% efficiency in OPVs. With publications in high-impact journals such as ACS Energy Letters and Advanced Materials, Mr. Ling has made significant strides in sustainable energy solutions. He actively engages in global conferences and workshops, showcasing his expertise in molecular doping, crystal growth, and materials characterization. His work is shaping the future of renewable energy. 🧪☀️📚

Publication Profile

GOOGLE SCHOLAR

ORCID

SCOPUS

Educational Qualifications 🎓

Mr. Zhaoheng Ling is pursuing a Ph.D. in Material Science and Engineering at King Abdullah University of Science and Technology (2021–present), achieving a GPA of 3.75/4. His research focuses on advanced nanomaterials and renewable energy solutions. He earned his M.S. in Materials Science from the University of Science and Technology of China (2014–2017), where he specialized in nanoscience and graduated with a GPA of 80.5/100. Mr. Ling holds a B.S. in Materials Science from HeFei University (2009–2013), graduating with a GPA of 79.5/100. His strong academic background underpins his innovative contributions to materials science. 🎓🔬🌍

Experience and Contributions 💼

Mr. Zhaoheng Ling possesses extensive expertise in molecular doping of organic semiconductors for photovoltaic applications, enhancing solar cell efficiency and stability. He is skilled in advanced experimental techniques such as J-V measurement, external quantum efficiency (EQE), UV-Vis transmission, photoluminescence, SEM, AFM, XRD, and atom probe tomography. His proficiency extends to crystal growth and thin-film deposition using molecular-beam epitaxy (MBE), thermal evaporation, and e-beam evaporation. Additionally, he is adept at data modeling and analysis with tools like Microsoft Office and ORIGIN. His teaching experience includes courses on the Physics of Beam-Solid Interactions and Organic Semiconductors and Applications at GEC Academy. 🧪🔬📊

Conference and Workshop

Mr. Zhaoheng Ling actively participates in international conferences and workshops to share his research and advance the field of photovoltaics. He delivered an oral presentation at the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics, and Optoelectronics (2024, Japan) and presented posters at the Perovskite and Organic Photovoltaics Conference (2024, China) and the International Conference on Hybrid and Organic Photovoltaics (2023, UK). He has also attended notable workshops, including Printable Thin-Film Photovoltaics & Applications (2024, Germany), Photovoltaic Innovation for Saudi Vision 2030 (2024, KAUST), and Sustainable Energy Materials for a Low Carbon Future (2023, KAUST). 🌍🔬📊.

Research Focus Area 🌱🧬

Mr. Zhaoheng Ling’s research primarily centers on organic photovoltaics (OPVs), perovskite solar cells, and nanomaterials for renewable energy applications. His work involves enhancing solar cell efficiency through innovative approaches like bulk heterojunction modification, molecular doping, and interlayer engineering. Notable achievements include achieving over 20% efficiency in OPVs and developing tandem photovoltaic systems with 23.6% efficiency. His studies explore the stability, passivation, and optoelectronic properties of materials, addressing critical challenges in sustainable energy technologies. With high-impact publications in journals like ACS Energy Letters and Advanced Materials, his contributions are shaping the future of clean energy. 🧪☀️📚

Awards 🏆

Mr. Zhaoheng Ling was honored with the prestigious Academic Scholarship from the Nano Science and Technology Institute at the University of Science and Technology of China during 2014–2015. This recognition highlights his academic excellence and dedication to advancing the field of nanoscience. The award underscores his ability to excel in rigorous scientific research and his commitment to contributing innovative solutions to materials science and nanotechnology. This achievement reflects Mr. Ling’s determination to push the boundaries of scientific knowledge. 🎓🏆🔬

Publication Top Notes📄✨

High-efficiency silicon/organic heterojunction solar cells with improved junction quality and interface passivation

On the Conformation of Dimeric Acceptors and Their Polymer Solar Cells with Efficiency over 18%

Excellent passivation of silicon surfaces by thin films of electron-beam-processed titanium dioxide

Over 19% efficiency in ternary organic solar cells enabled by n-type dopants

Optoelectronic evaluation and loss analysis of PEDOT: PSS/Si hybrid heterojunction solar cells

TiO2 Films from the Low‐Temperature Oxidation of Ti as Passivating‐Contact Layers for Si Heterojunction Solar Cells

Monolithic Perovskite–Perovskite–Organic Triple-Junction Solar Cells with a Voltage Output Exceeding 3 V

Stability and passivation of 2D group VA elemental materials: black phosphorus and beyond

 

 

Dr Jiageng Guo | Microstructure and Properties | Best Researcher Award

Published on by Material Scientist

Dr Jiageng Guo | Microstructure and Properties | Best Researcher Award

Dr Jiageng Guo, Guangxi university of Chinese Medicine, China

Dr. Jiageng Guo is a distinguished researcher at Guangxi University of Traditional Chinese Medicine, specializing in pharmacology and cancer research. He has made significant contributions to liver cancer therapy, focusing on natural compounds like cinnamaldehyde and cinnamic acid. His work spans cutting-edge areas, including network pharmacology, bioinformatics, and both in vitro and in vivo experimental techniques. With high-impact publications in journals like Frontiers in Pharmacology, Dr. Guo integrates Traditional Chinese Medicine with modern pharmacology. His interdisciplinary approach offers innovative solutions for cancer therapy and drug discovery. 🌿🔬🧬💡📚

Publication Profile

Scopus

Skills

Guo Jiageng is highly skilled in network pharmacology and bioinformatics analysis, essential for understanding complex biological systems and drug interactions. He is proficient in various in vitro cell experimental techniques, including flow cytometry, cell proliferation, apoptosis, migration, invasion, and cell cycle analysis 🧬. Additionally, he has hands-on experience with in vivo experimental models, such as constructing zebrafish PDX models, performing zebrafish seahorse detection 🐟, and establishing mouse tumor-bearing models 🐭. These techniques are critical for advancing research in pharmacology and cancer therapy.

Education🎓

Dr. Guo is a distinguished academic at Guangxi University of Traditional Chinese Medicine, where he combines the rich heritage of traditional Chinese medicine with modern scientific research methodologies. His diverse academic background allows him to integrate a wide range of scientific knowledge, especially in the fields of pharmacology and holistic healing. With expertise in both traditional practices and contemporary research, Dr. Guo is well-positioned to explore and advance the understanding of Chinese medicine in the modern scientific landscape. His work bridges the gap between ancient wisdom and cutting-edge medical innovations. 🌿📚💡

Experience

From September 2022 to September 2024, Guo Jiageng dedicated his efforts to research on the therapeutic mechanisms of cinnamaldehyde and cinnamic acid in liver cancer treatment. His work explored crucial energy metabolism pathways and the EGFR pathway, aiming to uncover their potential in combating cancer cells 🧬. Through these studies, he contributed valuable insights into the molecular processes involved in liver cancer therapy, paving the way for novel treatments and therapeutic strategies 🍃.

Research Focus Area 🌱🧬

Dr. Jiageng Guo’s research primarily focuses on Traditional Chinese Medicine (TCM), pharmacology, and its applications in health restoration. His work includes investigating natural compounds like cinnamaldehyde 🌿 and Cinnamomi Cortex 🍃 for therapeutic effects, particularly in skin barrier restoration and cancer treatment. Dr. Guo explores the molecular mechanisms underlying these herbal treatments, such as the role of GSK-3β in liver cancer through the PI3K/AKT pathway ⚖️. His research bridges traditional herbal medicine with modern biomedical advancements 🩺, highlighting the potential of TCM in improving skin health and combating diseases.

Publication Top Notes📄✨

Insights from Traditional Chinese Medicine for Restoring Skin Barrier Functions

Visual analysis of knowledge graph for research progress on medicinal and edible traditional Chinese medicine Cinnamomi Cortex based on VOSviewer and CiteSpace

Evaluation of the effect of GSK-3β on liver cancer based on the PI3K/AKT pathway

Advances in pharmacological effects and mechanism of action of cinnamaldehyde

Conclusion🔍

Dr. Jiageng Guo is undoubtedly a suitable candidate for the Best Researcher Award, given his extensive research background, significant publications in top journals, mastery of diverse experimental techniques, and his impactful contributions to both modern cancer research and traditional medicine. His work is poised to make meaningful advancements in therapeutic development, particularly for liver cancer, and his multi-disciplinary approach offers considerable promise for future breakthroughs.