Vítor Gomes | Fatigue | Best Researcher Award

Dr. Vítor Gomes | Fatigue | Best Researcher Award

Vítor M. G. Gomes, Faculty of Engineering of the University of Porto, Portugal

Vítor Gomes is a mechanical engineer specializing in fatigue analysis, structural design, and computational simulations. He holds a PhD in Mechanical Engineering from the Faculty of Engineering at the University of Porto (FEUP), focusing on fatigue performance methodologies for railway suspension systems. His expertise spans finite element analysis (FEA), 3D modeling, and programming, with proficiency in ANSYS, SolidWorks, Python, and C++. Over the years, Vítor has contributed to the development of railway rolling stock, robotic mechanisms, and material characterization through research and industry collaborations. His work includes project management, consulting, and supervising academic research. Currently, he serves as a Research and Development Engineer, optimizing production processes for electric motor components. He has been actively involved in EU-funded railway innovation projects and has authored several scientific papers. Passionate about engineering advancements, Vítor continues to shape the future of mechanical design and railway technology.

Profile.

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🎓 Education 

PhD in Mechanical Engineering (2019-2023) – FEUP Thesis: “A Methodology for Fatigue Performance of Leaf Springs Suspensions for Freight Wagons” Dissertation: “Numerical Analysis of the Influence of Taper on Strength of Adhesively Bonded Joints” Project: “Design for a Friction Stir Spot Welding Machine” Master’s in Mechanical Engineering (2013-2016) – FCTUC Bachelor’s in Mechanical Engineering (2010-2013) – ISECVítor’s academic journey has focused on mechanical design, fatigue analysis, and railway structures. His research integrates computational simulations with experimental validation, contributing to innovative methodologies in mechanical engineering.

💼 Professional Experience 

🔧 Research & Development Engineer (2024 – Present) – WEG Europe Monitoring and statistical control of production and assembly processes for electric motors and components.

🔬 Research Engineer

Developed, assembled, and tested full-scale railway components. Conducted finite element analysis (FEA) and fatigue assessments. Supervised academic projects and authored scientific publications. Provided consulting services for railway design and engineering projects. Mechanical Design Engineer (2016 – 2017) – TulaLabs Designed vehicle structures, robotic mechanisms, and air-compressed distribution networks. Created technical drawings and reports for engineering projects. 🎓 Intern Assistant Engineer (2014) – WEG Europe Assisted in mechanical design and fatigue testing.

🏆 Awards & Honors 

🇵🇹 DB Rail Academy (2023) – Principles of Bogie Technology Certification 🇪🇺 EN 15085 Certification (2023) – Railway Welding of Vehicles and Components 📜 Product Management Certifications (2024-2025) – Agile Methodologies & Applications to Funded Projects 🔧 Computer & Programming Certifications (2021) – Python, C++, VBA  Ordem dos Engenheiros (2015) – Ethics & Professional Deontology

🔍 Research Focus 

Vítor’s research revolves around fatigue performance, finite element analysis (FEA), and mechanical design, particularly in railway engineering. His PhD focused on fatigue behavior of leaf springs in freight wagons, contributing to safer and more efficient railway suspension systems. He specializes in computational simulations for fatigue, welded joints, and bolted connections, utilizing software like ANSYS, LS-DYNA, and Simpack. His work extends to structural analysis of railway rolling stock, including bogies, wagon platforms, and auxiliary equipment supports. He actively participates in EU-funded projects such as Smart Wagons, Train Solutions, and Ferrovia 4.0, advancing railway innovation through research and consulting.

Publications

Gomes, V. M. G. et al. (2025) Full-Range Probabilistic Fatigue Modelling of 51CrV4 Steel of Parabolic Leaf Springs of Railway Rolling StockMetals (Under Review)

Gomes, V. M. G. et al. (2018) Fatigue Assessment of a Rail Profile under Shuttle Moving LoadsNEDCON Project Report

Carlos, (2020) Fatigue Behavior of Cold Roll-Formed Z-Rails for Rack StructuresMaster Dissertation, FEUP

Silva, Lucas (2020) Monotonic and Fatigue Behaviour of Double Shear Bolted JointsMaster Dissertation, FEUP

Correia, Maria João (2019) Fatigue Behaviour of Cold-Rolled Profiles: Simulation and Characterization StudiesMaster Dissertation, FEUP

Conclusion

Vítor Gomes is a strong candidate for the Best Researcher Award in fatigue analysis and structural durability. His academic background, technical expertise, and research contributions align well with the award criteria. However, enhancing his publication record, international collaborations, and industrial impact would further solidify his standing as a leading researcher in this field.

 

SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

Dr. SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

Postdoctoral Researcher, Sungkyunkwan University, South Korea

Dr. Samanth Kokkiligadda is a research professor in Chemical Engineering at Sungkyunkwan University, South Korea, specializing in sustainable energy solutions. With a Ph.D. in Physics, his expertise spans nanomaterials, energy storage, and biomass conversion. His work integrates biopolymers and flexible films to advance eco-friendly supercapacitors and photocurrent applications. Dr. Kokkiligadda has received prestigious awards, including the SKKU Innovation Research Fellowship and a gold medal in Chemistry. Proficient in nanomaterials functionalization, quantum dots, and electrochemical techniques, he contributes significantly to material synthesis and energy conversion research.

Profile

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🎓 Education

Ph.D. in Physics (2019–2023), Sungkyunkwan University, South Korea 🏅 Dissertation: “Nanomaterial-embedded DNA Nanostructures for Photocurrent and Supercapacitors.” Awarded the Best SKKU Innovative Research Award. M.Sc. in Physics (2016–2018), P.B. Siddhartha College of Arts & Sciences, India 🎓 Specialization in Condensed Matter Physics with an 80% aggregate score. B.Sc. in M.P.C. (2013–2016), Krishna University, India 🏆 Graduated with 91.3%, earning a gold medal in Chemistry.

💼 Experience

BK21+ Postdoctoral Researcher, Sungkyunkwan University, South Korea (Present) 🔬 Researching DNA-based nanostructures for photocurrent and supercapacitor applications. Developing high-performance biopolymer-based energy storage devices. Graduate Researcher, Sungkyunkwan University, South Korea (2019–2023) 🧪 Conducted extensive studies on functional nanomaterials, quantum dots, and MXenes. Specialized in electrode synthesis for energy storage applications.

🏆 Awards & Honors 

SKKU Innovation Research Fellowship (BK21), 2022 🌟 All India 14th Rank, UGC Merit Scholarship, 2016-17 🏅Pratibha Award & Gold Medal in Chemistry, Krishna University, 2016 🏆 KU-SET 17th Rank, Andhra Pradesh University Entrance Test 🎖 2nd Prize in Photography, Cognition Nalanda University, 2018 📸 1st Prize in Quiz, Andhra Pradesh Librarian Association, Avanigadda 🏅

🔬 Research Focus 

Dr. Kokkiligadda’s research focuses on nanomaterials for energy storage and conversion. His work integrates DNA-based nanostructures, biopolymer synthesis, and flexible energy storage films. He explores quantum dots, MXenes, and hybrid biomaterials to develop high-performance, eco-friendly supercapacitors and photocurrent devices. His expertise spans scanning electron microscopy, spectroscopy techniques, thermal vapor deposition, and electrode fabrication for batteries and PEC applications.

Publications

“Nanomaterial-embedded DNA Nanostructures for Photocurrent and Supercapacitors” 🔋

“Synthesis of Biomass-based Hybrid Nanomaterials for Sustainable Energy Conversion” 🌱

“Functionalization of Quantum Dots for High-Performance Energy Devices” ⚡

“MXenes in Flexible Supercapacitors: A Novel Approach” 🏭

“Electrode Fabrication Techniques for Advanced Energy Storage” ⚙️

“Innovative DNA Nanostructures for Photovoltaic Applications”

Conclusion:

Samanth Kokkiligadda is a highly deserving candidate for the Best Researcher Award due to his exceptional contributions to nanomaterials, energy storage, and sustainable innovations. With his expertise and growing recognition, he has the potential to become a key figure in the future of green energy research. Strengthening collaborations and increasing high-impact publications will further solidify his standing as a top-tier researcher.

Anne Maynadier | Stockage de l’hydrogène | Best Researcher Award

Assist. Prof. Dr Anne Maynadier | Stockage de l’hydrogène | Best Researcher Award

Maître de conférences, Institut FEMTO ST, France

Anne Maynadier is an Associate Professor at IUT de Besançon Vesoul, University of Franche-Comté, specializing in applied mechanics and hydrogen storage 🔋. She obtained her PhD in Engineering from LMT Cachan, focusing on thermomechanical coupling in shape memory alloys 🏗️. She has held academic positions at INSA Lyon and UFC/FEMTO-ST Institute, contributing to mechanical field measurements and solid-state hydrogen storage research. She has supervised multiple PhD theses, led key research projects, and actively participated in hydrogen energy outreach programs 🌍.

Profile

🎓 Education:

2009-2012 – PhD in Engineering, LMT Cachan, focusing on thermomechanical coupling in shape memory alloys 📊 2005-2009 – ENS Cachan, Mechanical Engineering, specializing in materials mechanics 🔧  Master’s in Mechanics of Materials (MAGIS) – Advanced training in mechanical behavior of materials 📚  2003-2005 – Preparatory Classes (PTSI-PT), Lycée Jean Dupuy ✏️  2003 – Scientific Baccalaureate, Engineering Sciences Option, Mention B 🎓

💼 Experience:

2015-Present – Associate Professor at IUT Besançon Vesoul, UFC/FEMTO-ST Institute, focusing on hydrogen storage research ⚙️ 2013-2015 – Associate Professor at INSA Lyon/LAMCOS, specializing in mechanical field measurements and fracture mechanics 🏗️ 2012-2013 – Postdoctoral Researcher at UFC/FEMTO-ST Institute, working on thermomechanical coupling in materials  2009-2012 – PhD Researcher at LMT Cachan, studying kinematic and thermal field measurement in shape memory alloys 📊

🏆 Awards & Honors:

1st Place (2008) – External Agrégation in Mechanical Engineering 🏆  Grant Recipient – Multiple research funding awards from CNRS, Bourgogne-Franche-Comté Region, and EIPHI 💰  Organizer & Committee Member – International Summer School (2022), JNC Conference (2023), Hydrogen Research Networks 🌍 STEM Outreach Advocate – Active in “Women in Science” and “La SI au féminin” initiatives 👩‍🔬

🔍 Research Focus:

🔬 Hydrogen Storage – Investigating solid-state hydrogen storage using intermetallic hydrides 🔋 Thermomechanical Field Measurement – Advanced DIC & IR techniques for material analysis 📸  Fracture Mechanics – Researching photovoltaic silicon wafer failure mechanisms 🏭 Hydride Bed Simulation – Studying self-fragmentation (decrepitation) in hydrogen reservoirs 📡 Sustainable Energy Solutions – Developing safe and efficient hydrogen storage systems for clean energy 🌱

Publications

Underlying Causes of the Improved Storage Properties of TiMn1,5 by Annealing Treatment

Multiscale Elastic Modulus Characterization of Ti0.5Fe0.45Mn0.05, an Iron–Titanium–Manganese Alloy Dedicated to Hydrogen Storage

Hydrogen Storage: Different Technologies, Challenges and Stakes. Focus on TiFe Hydrides

 

Conclusion

Anne Maynadier is a strong candidate for the Best Researcher Award, given her pioneering contributions to hydrogen storage research, extensive academic impact, and leadership in scientific outreach. While international collaborations, high-impact publications, and industry engagement could further strengthen her profile, her expertise and dedication make her a deserving nominee.

Javeed Kittur | Engineering Education | Best Researcher Award

Dr. Javeed Kittur | Engineering Education | Best Researcher Award

Assistant Professor at The University of Oklahoma , United States

🌟 Dr. Javeed Kittur is an Assistant Professor of Engineering Pathways at the University of Oklahoma, with expertise in engineering education and a passion for advancing student success. 📚 Previously, Dr. Javeed Kittur served as an Assistant Professor at KLE Technological University and worked as an Assistant Systems Engineer at Tata Consultancy Services. 💡 With a Ph.D. in Engineering Education Systems & Design from Arizona State University, Dr. Javeed Kittur focuses on generative AI, data analytics, and diversity in engineering. 🌍 Recognized with numerous accolades, Dr. Javeed Kittur is committed to transforming education through innovation. 🎓

Publication Profile

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Education🎓

Ph.D. in Engineering Education Systems & Design, Arizona State University, 2022. M.Tech. in Power Systems Engineering (Gold Medalist), The National Institute of Engineering, Mysore, India, 2014.  B.E. in Electrical & Electronics Engineering, B.V.B. College of Engineering & Technology, India, 2011.

Experience💼

Assistant Professor, Engineering Pathways, University of Oklahoma (2022-present).  Assistant Professor, Electrical & Electronics Engineering, KLE Technological University, India (2014-2018).  Assistant Systems Engineer, UKPN-Data Update Project, Tata Consultancy Services, India (2011-2012).

Awards & Honors🏆

Outstanding Faculty Award, University of Oklahoma, 2024.  Teach Access Fellow, Teach Access Fellowship Program, 2024 ($4,000).  Ing.Paed.IGIP Award, ICTIEE, 2018. Gold Medalist, M.Tech., National Institute of Engineering, 2014. Best Paper Award, IEEE TAP Energy Conference, 2015.

Research Focus🤖 

Generative AI in education.  Enhancing student retention in online and in-person engineering programs.  Data mining and learning analytics in engineering education.  Broadening participation in engineering disciplines.  Faculty preparedness across cognitive, affective, and psychomotor domains.

Publications 📖

Leadership Capabilities Exploration and Development via an Experiential Leadership Course: A Work in Progress

Authors: Wolfinbarger, K.G., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Development of leadership skills in engineering students through experiential courses emphasizing real-world applications.

Influence of Interpersonal Interactions on Student Engagement: Online Undergraduate Engineering Students’ Perspectives

Authors: Holt, K., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Examines how peer and faculty interactions impact engagement in online engineering programs.

Does Task Complexity Matter? Event-Related Potential (ERP) Data Analysis of the Stroop Effect in Relation to Thermal Conditions

Authors: Mobaraki-Omoumi, M.E., Kittur, J., Siddique, Z.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Investigates cognitive load and thermal conditions using ERP data and the Stroop effect.

Examining the Engineering Self-Efficacy, Design Self-Efficacy, Intentions to Persist, and Sense of Belonging of First-Year Engineering Students through Community-Partnered Projects

Authors: Kittur, J., Olayemi, M., Harvey, T., Taffe, H.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Explores how community projects enhance engineering students’ self-efficacy and sense of belonging.

Design and Development of Survey Instrument to Measure Engineering Students’ Perspectives on the Use of ChatGPT

Authors: Sajawal, M.F., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Development and validation of a tool to evaluate student perceptions of ChatGPT in engineering education.

Examining Students’ Beliefs on the Use of ChatGPT in Engineering

Authors: Sajawal, M.F., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Explores the ethical and practical implications of ChatGPT in engineering studies.

Engineering Doctoral Students’ Expectations, Reflections, and Concerns Regarding Future in Academia

Authors: Garcia, O.J., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 2.

Focus: Analyzes the aspirations and apprehensions of doctoral students aiming for academic careers.

Breaking the Stigma: Fostering Mental Health Resilience in Engineering – A Systematic Literature Review

Authors: Nguyen, H.T., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Focus: Reviews strategies for addressing mental health challenges in engineering education.

Cognitive Domain of Learning: Exploring Undergraduate Engineering Students’ Understanding and Perceptions

Authors: Coffman, A.L., Kittur, J.

Event: ASEE Annual Conference and Exposition, 2024.

Citations: 1.

Focus: Investigates students’ cognitive understanding of engineering concepts and their learning experiences.

Conclusion

The candidate is a strong contender for the Best Researcher Award due to their exceptional contributions to engineering education, demonstrated innovation, and dedication to inclusive and transformative teaching methodologies. Their forward-looking research focus on AI, analytics, and retention strategies aligns perfectly with contemporary educational needs. Strengthening their global research collaborations, journal publication portfolio, and funding achievements will further enhance their competitiveness for this award.

Yang Xiao | Tongji University | Best Researcher Award

Prof. Yang Xiao | Tongji University | Best Researcher Award

Associate Professo at  Jilin University, China

Xiao Y. is a prominent researcher specializing in lithium-ion batteries, thermal runaway safety, and mechanical energy storage. With numerous impactful publications in top-tier journals, Xiao contributes extensively to advancing battery safety, uncertainty quantification for autonomous systems, and flame-retardant electrolyte designs.

 

Professional Profiles:

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🎓 Education:

Ph.D. in Energy Storage and Engineering, Jilin University (2023).M.Sc. in Mechanical Engineering, Jilin University (2020).B.Sc. in Energy Engineering, Jilin University (2016).

💼 Experience:

Lead Researcher at Energy Storage Innovation Lab, focusing on thermal runaway and safety mechanisms for lithium-ion batteries.Published extensively in journals like Advanced Science, IEEE Access, and Chemical Engineering Journal.Collaborated on innovative solutions for autonomous vehicles and battery thermal management.

🏆 Awards and Honors:

2024: Best Paper Award – Energy Storage Journal.2023: Excellence in Research Award – Jilin University.2022: Outstanding Contribution Award – Journal of Electrochemical Energy Conversion.

🔬 Research Focus:

Lithium-ion battery safety ⚡Thermal runaway mechanisms 🔥Battery thermal management 🛠️Monte Carlo methods for autonomous vehicles 🚗Flame-retardant electrolytes for enhanced safety 🧪

✍️Publications Top Note :

Machine Learning in Battery Estimation: This covers methods and theoretical developments for estimating the state of charge (SOC) and state of health (SOH) of batteries in electric vehicles.

Thermal Runaway Safety: Papers exploring the triggers, consequences, and mitigation methods for thermal runaway in lithium-ion batteries.

Battery Thermal Management: Reviews discussing strategies to enhance thermal management systems for EV batteries.

Mechanical Abuse and Battery Safety: Reviews analyzing mechanical abuse-related thermal runaway models across different scales.

Monte Carlo Dropout in Autonomous Vehicles: A paper on leveraging Monte Carlo dropout for real-time uncertainty quantification in object detection, with applications in autonomous vehicles.

Conclusion

The candidate demonstrates significant potential and achievements for the Best Researcher Award in Engineering at Jilin University. Their educational background, focused expertise in intelligent electric vehicles, and contributions to a nationally funded project underline their research capabilities and innovative approach. To further strengthen their candidacy, focusing on high-impact publications, securing PI roles, and fostering international collaborations will solidify their standing as a leading researcher.

Manar Hamza | Computer Science Data mining | Best Researcher Award

Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award

professor at  Prince Sattam bin Abd El Aziz University, China

👩‍🏫 Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. 💻 Holds a strong track record in research and academia, leveraging innovation and teamwork. Aims to thrive in challenging, dynamic, and team-oriented environments that foster growth. 🌍 Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.

Professional Profiles:

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Education 🎓

Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018–2021). 🎓 Master’s Degree in Computer Science from Sudan University of Science and Technology (2003–2005). 🎓 B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995–1999). 📚 Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.

Experience 🖥️

Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013–present). 👩‍💼 Supervisor and Coordinator roles in quality, academic advising, and measurement (2014–2020). 🇸🇩 Lecturer at Omdurman Islamic University, Sudan (2005–2012). 👩‍🔬 E-teaching and training specialist with Arab Board experience (2023).

Awards and Honors 🏆

Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. 🙌 Recognized for voluntary services, including extracurricular activities and technical support for students and staff. ⭐ Esteemed arbitrator in scientific and innovation conferences. 📜 Active contributor to enhancing the learning environment with innovative solutions.

Research Focus 🔍

Data mining, text mining, and information security are core research areas. 📊 Interested in qualitative research, outcome-based education, and e-learning systems. 🌐 Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. 🛡️ Exploring cybersecurity methods and their application in education and industry.

✍️Publications Top Note :

1. Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

Published in: SN Computer Science, 2024, 5(5), 549

Summary: This paper proposes a novel classification model for urban-related tweets using arithmetic optimization integrated with deep learning to support sustainable urban living solutions.

2. Enhancing Traffic Flow Prediction in Intelligent Cyber-Physical Systems

Published in: IEEE Transactions on Consumer Electronics, 2024, 70(1), pp. 1889–1902

Summary: Introduces a Bi-LSTM approach enhanced with a Kalman filter for accurate traffic flow prediction, addressing challenges in intelligent cyber-physical systems.

Citations: 5

3. Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification

Published in: Mobile Networks and Applications, 2024, 29(1), pp. 176–186

Summary: Utilizes the Deer Hunting Optimization algorithm with deep learning to achieve high accuracy in detecting and classifying fabric defects.

Citations: 1

4. Automatic Recognition of Cyberbullying in the Web of Things and Social Media Using Deep Learning Framework

Published in: IEEE Transactions on Big Data, 2024

Summary: Develops a deep learning-based framework to detect and prevent cyberbullying within social media and IoT environments.

5. Artificial Rabbit Optimizer with Deep Learning for Fall Detection in IoT Environment

Published in: AIMS Mathematics, 2024, 9(6), pp. 15486–15504

Summary: Introduces the Artificial Rabbit Optimizer combined with deep learning to enhance fall detection systems for disabled individuals in IoT environments.

Citations: 1

6. Computational Linguistics-Based Arabic Poem Classification and Dictarization Model

Published in: Computer Systems Science and Engineering, 2024, 48(1), pp. 98–114

Summary: Proposes a computational linguistics model to classify Arabic poems and enhance their dictarization process.

7. Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

Published in: Intelligent Automation and Soft Computing, 2024, 38(2), pp. 153–168

Summary: Develops a deep neural network with hyperparameter tuning for effective abstractive summarization of Arabic texts.

Citations: 1

8. Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in IoT Environment

Published in: IEEE Access, 2024, 12, pp. 258–267

Summary: Presents a Chaotic Equilibrium Optimizer combined with deep learning to improve green communication and load prediction in IoT systems.

Citations: 2

9. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images

Published in: IEEE Access, 2024, 12, pp. 11147–11156

Summary: Leverages the River Formation Dynamics algorithm integrated with deep learning for efficient land use and land cover classification using remote sensing data.

Citations: 4

10. Prediction of Sleep Quality Using Wearable-Assisted Smart Health Monitoring Systems

Published in: Journal of King Saud University – Science, 2023, 35(9), 102927

Summary: Utilizes wearable technology and statistical data to predict sleep quality, providing insights into personalized smart health monitoring systems.

Citations: 1

Conclusion

The candidate’s extensive experience, academic qualifications, and contributions to computer science, particularly in data mining and information security, make them a strong contender for the Research for Best Researcher Award. With some strategic enhancements to highlight impactful research and global contributions, their profile could exemplify the qualities of an award-winning researcher in computer science.

Albandari Alrowaily | Material Science | Best Researcher Award

Assist. Prof. Dr Albandari Alrowaily | Infectious diseases | Best Researcher Award

Assist Prof at  Princess Nourah bint Abdulrahmman University, Saudi Arabia

🎓 Assist. Prof. Dr Albandari Alrowaily is an Assistant Professor of Physics at Princess Nourah Bint Abdurrahman University, Saudi Arabia. She specializes in theoretical nuclear and atomic physics with a Ph.D. from the University of North Texas. Starting her career as a high school physics teacher, she progressed through roles such as lecturer, committee member, and advisor. Passionate about education quality, she now serves as the Teaching and Learning Quality Manager. Assist. Prof. Dr Albandari Alrowaily is an advocate for empowering women in science, holding memberships in ISMWS and APS. Her contributions to academia include teaching a wide range of physics courses, mentoring students, and participating in critical departmental activities. Outside work, she actively supports cultural and environmental initiatives.

Professional Profiles:

Education 🎓

Ph.D. in Theoretical Nuclear and Atomic Physics (2021): University of North Texas, Denton, TX, USA. Master’s in Theoretical Nuclear Physics (2008): Princess Nourah Bint Abdurrahman University, Riyadh, Saudi Arabia. Bachelor’s in Physics (1999): Princess Nourah Bint Abdurrahman University, Riyadh, Saudi Arabia. Additional Certificates: Management, document organization, research ethics, teamwork, professional basics, and ESL.

Experience 👩‍🏫

High School Physics Teacher (1999–2000): Al-Jouf City. Teaching Assistant (2001–2007): Princess Nourah University. Committee Member: Grades Monitoring & Interviews (2001–2007). Lecturer (2008–2021): Princess Nourah University. Assistant Professor (2021–Present): Physics Department. Quality Manager (2022–Present): Teaching & Learning, College of Science. Additional Roles: Academic advisor, training supervisor, committee leader, and lab organizer.

Awards and Honors🏅

Ideal Student Awards (1992 & 1995): Al-Jouf Region. Distinguished Student (2000): Princess Nourah University. Travel Awards (2018–2019): DAMOP, UNT, and COS for research presentations. Recognized for exceptional contributions to academic excellence and community engagement.

Research Focus 🔬

Theoretical studies on nuclear and atomic physics, focusing on quantum mechanics, particle interactions, and advanced simulations. Proficient in computational methods using Matlab, Python, and Mathematica for modeling complex systems.  Research on nuclear reactions, atomic energy levels, and spectroscopic analysis. Advocates for interdisciplinary applications of physics to solve global challenges.

✍️Publications Top Note :

High-Performance Supercapacitors (ZnSe/MnSe)

Study: Development of ZnSe/MnSe composites for supercapacitor electrodes using hydrothermal techniques.

Publication: Journal of Physics and Chemistry of Solids, 2024, 49 citations.

Impact: Enhanced capacitive performance through novel material synthesis.

2. g-C3N4/NiIn2S4 for Supercapacitors

Study: Hydrothermal fabrication of g-C3N4/NiIn2S4 composite materials.

Publication: Ceramics International, 2024, 35 citations.

Impact: Promising electrode material with high efficiency.

3. Nonlinear Plasma Waves

Study: Interaction of solitons in pair-ion–electron plasmas using the Hirota method.

Publication: Physics of Fluids, 2023, 30 citations.

Impact: Advances theoretical understanding of electrostatic plasma dynamics.

4. SrCeO3/rGO for Oxygen Evolution Reaction

Study: Hydrothermal synthesis of SrCeO3 nanocomposites for electrocatalysis.

Publication: Fuel, 2024, 27 citations.

Impact: Enhanced catalytic efficiency for clean energy applications.

5. BiFeO3 Supercapacitor Applications

Study: Mn-doped BiFeO3 as an electrode material for supercapacitors.

Publication: Journal of Energy Storage, 2024, 20 citations.

Impact: Novel application of perovskite materials for energy storage.

6. Radiation Shielding Polymers

Study: Optical and mechanical improvements in polyvinyl alcohol composites.

Publication: Journal of Rare Earths, 2023, 18 citations.

Impact: Optimized materials for gamma-ray attenuation.

7. NiS2@SnS2 Nanohybrids

Study: Water-splitting applications of NiS2@SnS2 nanohybrids.

Publication: Materials Chemistry and Physics, 2024, 15 citations.

Impact: Low-cost, efficient electrocatalysts for sustainable energy.

8. Ce-doped SnFe2O4 Supercapacitors

Study: Hydrothermal synthesis enhancing electrochemical performance.

Publication: Electrochimica Acta, 2024, 13 citations.

Impact: Improved energy storage capabilities of supercapacitors.

Conclusion

The candidate has a robust academic background, extensive teaching experience, and proven leadership capabilities, making them a strong contender for the Research for Best Researcher Award. Strengthening the portfolio with focused research publications and demonstrating broader impacts of their work will further enhance their prospects for this prestigious recognition.

Julia Puseletso Mofokeng | nanocomposites | Women Researcher Award

Dr. Julia Puseletso Mofokeng | nanocomposites | Women Researcher Award

Senior Lecturer / Researcher at University of the Free State, South Africa

Dr. Julia Puseletso Mofokeng is a Senior Lecturer and Researcher in the Department of Chemistry at the University of the Free State (UFS), QwaQwa Campus, South Africa. She holds a Ph.D. in Polymer Science (2015) from UFS, where she also obtained her M.Sc. and B.Sc. degrees. Her research focuses on polymer-titania nanocomposites and sustainable polymers. As an NRF Y2-rated Emerging Researcher (2021-2025), Dr. Mofokeng is recognized for her contributions to polymer science, receiving the Best Emerging Researcher award in Natural and Agricultural Sciences (QwaQwa Campus) in 2016.

Publication Profile

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Academic and Research Contributions

Dr. Mofokeng teaches Honours-level modules in Physical Polymer Science and Polymer Testing and Characterization at UFS. She supervises Honours, Master’s, and Ph.D. students, actively publishing research in polymer science. In her roles, she oversees the research laboratory, sources research funding, and contributes to curriculum development.

Professional Experience

Since 2019, Dr. Mofokeng has been a Senior Lecturer, previously serving as a Lecturer (2017–2018), Officer in Professional Services (2011–2017), and Research Assistant (1999–2011). Her extensive experience in research operations has involved hands-on roles in laboratory management, equipment maintenance, student training, and conducting complex polymer analyses.

Skills and Expertise

Dr. Mofokeng is proficient in a variety of scientific instruments, including DSC, TGA, FTIR, DMA, and rheometers, essential for polymer characterization and analysis. She has experience with SEM, TEM, and STEM techniques and is skilled in synthesizing polymers, composites, and nanocomposites.

Publication  Top Notes

 

Preparation of PLA/PHBV/GO Composites for Lead Ion Removal

Publication: Polymer Composites, 2024

Focus: Develops PLA/PHBV/GO composites specifically for selectively removing Pb(II) ions from water.

Synthesis of Graphene Oxide for Lead Ion Removal

Publication: Carbon Trends, 2024

Focus: Details the synthesis and properties of GO aimed at lead ion adsorption in water.

Morphology and Thermal Properties of PLA/PHBV/GO Composites

Publication: Polymer Engineering and Science, 2024

Focus: Analyzes structural and thermal aspects of PLA/PHBV/GO composites.

Properties of Polybutylene Succinate-Pineapple Leaf Fiber Composites

Publication: Heliyon, 2023

Focus: Discusses chemical and thermal properties of eco-friendly PBS composites using waste fibers.

Review on Graphene-Based Biodegradable Polymer Composites

Publication: Materials, 2023

Focus: Reviews the use of graphene in polymer composites for heavy metal adsorption in water.

Polysiloxane in Guar Gum-Polyaniline Matrix

Publication: International Journal of Biological Macromolecules, 2018

Focus: Studies the effect of polysiloxane on the thermal and optical properties of a modified guar gum matrix.

LDPE with Carbon Black, Zinc, and Paraffin Wax

Publication: Journal of Polymer Research, 2017

Focus: Investigates the thermo-switch properties of LDPE composites with various additives.

Thermal Stability of PCL/PLA Composites with Layered Silicates

Publication: Polymer Testing, 2016

Focus: Explores thermal stability enhancements in PCL/PLA composites.

PLA/PHBV Nanocomposites with TiO₂ as Filler

Publication: Journal of Applied Polymer Science, 2015

Focus: Analyzes the thermal degradation and morphology of PLA/PHBV blends with TiO₂ fillers.

Dynamic Mechanical Properties of Various Biodegradable Polymer Blends

Publication: Thermochimica Acta, 2015

Focus: Examines mechanical properties of PLA/PHBV, PLA/PCL, and PHBV/PCL blends with TiO₂ nanofillers.

 

Conclusion

Dr. Mofokeng’s achievements and dedication make her a strong candidate for the Research for Women Researcher Award. Her contributions to polymer science, leadership in academia, and consistent service to the University of the Free State highlight her commitment to her field and inspire future women researchers. With continued efforts to expand her international research footprint, she stands poised to make an even greater impact in polymer science.

ROHINI SURADKAR | Computational Chemistry | Best Researcher Award

Ms. ROHINI SURADKAR | Computational Chemistry | Best Researcher Award

STUDENT at Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

Ms. Rohini R. Suradkar is a passionate Chemistry professional with over 2.5 years of research experience in inorganic and computational chemistry. Currently a Ph.D. scholar at Dr. Babasaheb Ambedkar Marathwada University, she specializes in the synthesis and computational study of imidazole derivatives, with a strong focus on greener organic synthesis and metal-organic frameworks. Known for her strong interpersonal and communication skills, Ms. Suradkar is adept at working independently to achieve key research goals. Her dedication to academic excellence is evident through her publications, presentations, and continuous pursuit of knowledge in the chemistry field.

Publication Profile

scholar

Education🎓

Ph.D. (Chemistry) (2021-Present): Dr. Babasaheb Ambedkar Marathwada University, focusing on “Synthesis, Characterization, and Density Functional Theoretical Study of Imidazole Derivatives.” M.Sc. (Chemistry) (2015-2017): Dr. Babasaheb Ambedkar Marathwada University; scored 64.50%. B.Sc. (Chemistry) (2012-2015): Lal Bahadur Shastri College, Jalna, with 81.08%.Higher Secondary Certificate (HSC): Jawahar Navodaya Vidyalaya, Partur, scored 69.64%. Secondary School Certificate (SSC): Jawahar Navodaya Vidyalaya, Partur, scored 76.08%. Ms. Suradkar has also obtained notable certifications in computational and industrial chemistry, enriching her theoretical and practical knowledge base.

Experience🔬 

Predoctoral Research: Ms. Suradkar completed a significant project on “p-TSA catalyzed one-pot synthesis of 1,3,5-trisubstituted pyrazole” as part of her M.Sc. degree. Research Scholar: Actively involved in advanced studies and hands-on lab work at Dr. Babasaheb Ambedkar Marathwada University. Presentations & Conferences: Ms. Suradkar has presented posters at prominent conferences like I-MAT 2024 at IIT Roorkee and the GOLD-CT-2024 conference at Kavayitri Bahinabai Chaudhari North Maharashtra University, showcasing her findings and expanding her academic network.

Awards and Honors🏆

Dr. Babasaheb Ambedkar National Research Fellowship (BANRF)-2021 Certificates: Green Olympiad 2009, Intel Learn Program, and NTSE (MH rank 96). Workshops & Conferences: Attended workshops on computational chemistry and material science at renowned institutes such as ICT Mumbai, C-DAC Pune, and IIT Roorkee. Notable Achievements: Ms. Suradkar’s research presentations and poster sessions have gained attention in the field, underscoring her commitment to sustainable chemical sciences and green synthesis practices.

Research Focus🔍 

Imidazole Derivatives: Synthesizing and characterizing imidazole molecules with advanced density functional theory (DFT) studies. Green Chemistry: Research on eco-friendly synthesis methods, focusing on metal-organic frameworks and fluorescence analysis.  Computational Chemistry: Utilizes Gaussian 09 software for complex molecular modeling and computational analysis. Greener Synthesis: Committed to developing sustainable methods for chemical synthesis, especially using Lewis acid catalysis and solvent-free approaches.  Publications: Published impactful papers on novel imidazole-based derivatives and eco-friendly pyrazolopyrano pyrimidine synthesis, reflecting her dedication to innovative, sustainable chemistry.

Publication  Top Notes

Synthesis, Characterization, and Computational Analysis of Novel Imidazole-Based Derivative with Tailored Electronic Properties
Authors: R.R. Suradkar, D.P. Gholap, A.V. Belambe, M.K. Lande
Journal: Journal of Photochemistry and Photobiology A: Chemistry, Volume 458, Article 115987
Year: 2025

Synthesis of Pyrazolopyrano Pyrimidines via One-Pot Solvent-Free Greener Approach Utilizing Lanthanum Trifluoroacetate and Trichloroacetate Lewis Acids Supported on Mesoporous Silica
Authors: D.P. Gholap, R. Suradkar, R. Huse, M.K. Lande
Journal: Polyhedron, Article 117273
Year: 2025

Conclusion

Ms. Rohini Ramesh Suradkar is a highly suitable candidate for the Best Researcher Award. Her solid academic foundation, focus on sustainable and computational chemistry, and proven publication record establish her as a promising scientist with a commitment to advancing knowledge in inorganic chemistry. She has demonstrated a strong grasp of modern chemical synthesis and theoretical studies, which, combined with her technical skills and continuous professional development, mark her as an outstanding researcher with considerable potential for further accomplishments in her field.

Jianzhi Li | Fiber sensing | Best Researcher Award

Prof. Jianzhi Li | Fiber sensing | Best Researcher Award

 professor at Shijiazhuang Tiedao University,  china

Jianzhi Li is a Professor at the Key Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University, specializing in fiber sensing technology and structural health monitoring. 🌉 She earned her Ph.D. from Beijing Jiaotong University and later held an academic post at Osaka University, Japan. 🚄 Her work focuses on enhancing railway infrastructure safety through innovative sensing techniques. 📚 Jianzhi has published numerous SCI papers and authored several books. 🚀 Her groundbreaking contributions in the field have earned her multiple awards, cementing her status as a leading researcher in fiber optics and structural health.

Publication Profile

orcid

Education 🎓

Jianzhi Li earned her Ph.D. in Structural Diagnosis and Optimization from Beijing Jiaotong University in 2009. 📚 Her doctoral studies focused on identifying and solving complex structural challenges in engineering. 🌏 She further broadened her academic horizons by serving as an Associate Professor at Osaka University in Japan between 2014 and 2015. 🏛️ This role allowed her to collaborate internationally and enhance her expertise in fiber optic sensing technology. ✨ Throughout her education, she gained deep insights into the intersections of structural health and smart material technologies, which now form the cornerstone of her research endeavors.

Experience 🏢 

Jianzhi Li currently serves as a Professor at Shijiazhuang Tiedao University’s Key Laboratory of Structural Health Monitoring and Control. 🚇 She has led several high-impact projects, particularly in fiber optic sensing and structural health monitoring for railways and bridges. 🌉 During 2014–2015, she was an Associate Professor at Osaka University, contributing to international collaborations. 📊 With over 20 patents to her name and numerous published works in prestigious journals, her experience spans industry-relevant research and cutting-edge academic advancements. 💼 She also leads the China National Key Research and Development Program, contributing to the enhancement of railway infrastructure safety.

Awards and Honors  🏆

Jianzhi Li has received numerous awards, including the First Prize for Technological Invention in Hebei Province. 🌟 She was recognized with the “Best Paper” award at the 6th International Conference on Optoelectronic Sensing. 🎖️ Her outstanding research contributions have earned her prestigious honors such as the Hebei Outstanding Youth Talent Award and a place in the Hebei 333 Talent Program. 📜 She has authored three books, including an internationally recognized English-language textbook, and her innovative work in fiber sensing and structural health has placed her among the top researchers in China. 🌍 Her membership in the Chinese Optical Society and other professional groups reflects her impact on the scientific community.

Research Focus🔬

Jianzhi Li’s research is centered on fiber optic sensing technologies and structural health monitoring. 🚇 Her work addresses critical infrastructure challenges, including heavy-duty railway bridges and roadbeds. 🔧 She has been instrumental in advancing fiber-based sensing systems for monitoring railway hazards and enhancing safety through predictive detection. 🛰️ Her research extends to smart materials and their applications in dynamic environments, focusing on the early detection of structural anomalies. 🚀 Jianzhi’s contributions are practical and forward-looking, pushing the boundaries of electromagnetic and optical sensing in engineering, leading to the development of more robust and resilient civil structures.

Publication  Top Notes

Evaluation of Concrete Carbonation Based on a Fiber Bragg Grating Sensor
📅 Published: December 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi15010029
Contributors: Jianzhi Li, Haiqun Yang, Handong Wu

This paper introduces a novel approach for monitoring concrete carbonation using Fiber Bragg Grating (FBG) sensors, a crucial method for assessing structural durability.

A Long-Term Monitoring Method of Corrosion Damage of Prestressed Anchor Cable
📅 Published: March 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi14040799
Contributors: Jianzhi Li, Chen Wang, Yiyao Zhao

This research presents a long-term monitoring technique for detecting corrosion in prestressed anchor cables, improving infrastructure safety and longevity.

A Combined Positioning Method Used for Identification of Concrete Cracks
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121479
Contributors: Jianzhi Li, Bohao Shen, Junjie Wang

This paper discusses a hybrid method for accurately identifying concrete cracks, advancing structural health monitoring.

A Spiral Distributed Monitoring Method for Steel Rebar Corrosion
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121451
Contributors: Jianzhi Li, Yiyao Zhao, Junjie Wang

Conclusion

Professor Jianzhi Li stands out as a strong candidate for the Best Researcher Award due to her exemplary research contributions, innovative spirit, and recognized leadership in the field of fiber sensing and structural health monitoring. Her achievements reflect not only her commitment to advancing science and technology but also her potential to further influence the field. With targeted improvements in professional engagement and industry collaboration, she could amplify her impact even more.