Farhad Haji Aboutalebi | Damage and Fracture | Best Researcher Award

Assoc. Prof. Dr. Farhad Haji Aboutalebi | Damage and Fracture | Best Researcher Award

Faculty Member at University of Isfahan, Iran

Assoc. Prof. Dr. Farhad Haji Aboutalebi is an esteemed researcher in mechanical engineering, specializing in finite element analysis, damage mechanics, and metal forming processes. With a Ph.D. from Isfahan University of Technology, he has made significant contributions to the numerical modeling of material deformation and failure. Since 2011, he has been a faculty member at the University of Isfahan, mentoring students and collaborating on industrial research projects. He has authored numerous research papers, reviewed for Elsevier’s Engineering Failure Analysis journal, and received multiple awards for his academic excellence.

Publication Profile

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Educational Details

  • Ph.D. in Mechanical Engineering (Applied Design), Isfahan University of Technology, Iran (2003–2009)
    • Thesis: Prediction of Ductile Damage Initiation in Sheet Metal Forming
    • Supervisors: Dr. M. Farzin & Dr. H. Khademizadeh
  • M.Sc. in Mechanical Engineering (Manufacturing & Production), Isfahan University of Technology, Iran (1996–1998)
    • Thesis: Analysis of Cold Backward Extrusion of Steel by Finite Element Method
    • Supervisors: Dr. M. Farzin & Dr. H. Hashemolhosseini
  • B.Sc. in Mechanical Engineering (Solid Mechanics), Isfahan University of Technology, Iran (1992–1996)

Professional Experience

Dr. Aboutalebi has been a faculty member at the University of Isfahan’s Mechanical Engineering Department since 2011. Prior to that, he served as a faculty member at Azad University of Khomeini-shahr (1998–2011). His academic career began as a teaching assistant and invited lecturer at multiple institutions from 1996 to 2001. He has taught undergraduate and graduate courses, including Finite Element Methods, Damage Mechanics, Theory of Elasticity, and Practical Plasticity. Dr. Aboutalebi has also conducted specialized training sessions in ABAQUS, AutoCAD, and Finite Element Analysis (FEA) software for industries and research institutions.

Research Interest

  • Damage & Fracture Mechanics
  • Finite Element Methods (FEM)
  • Sheet & Bulk Metal Forming

Top Noted Publication

Vibration and Flutter Analyses of Cantilever Trapezoidal Honeycomb Sandwich Plates

  • Authors: K. Torabi, H. Afshari, F. H. Aboutalebi
  • Journal: Journal of Sandwich Structures & Materials, Vol. 21(8), pp. 2887-2920 (2019)
  • Citations: 87
  • Summary: This study investigates the vibration and flutter characteristics of cantilever trapezoidal honeycomb sandwich plates using advanced finite element modeling techniques.

Multi-objective Optimisation of Functionally Graded Honeycomb Filled Crash Boxes Under Oblique Impact Loading

  • Authors: O. Mohammadiha, H. Beheshti, F. H. Aboutalebi
  • Journal: International Journal of Crashworthiness, Vol. 20(1), pp. 44-59 (2015)
  • Citations: 53
  • Summary: This research focuses on the crashworthiness and energy absorption of honeycomb-filled structures under oblique impact loads, optimizing their design using a multi-objective approach.

A DQEM for Transverse Vibration Analysis of Multiple Cracked Non-uniform Timoshenko Beams with General Boundary Conditions

  • Authors: K. Torabi, H. Afshari, F. H. Aboutalebi
  • Journal: Computers & Mathematics with Applications, Vol. 67(3), pp. 527-541 (2014)
  • Citations: 52
  • Summary: Proposes a differential quadrature element method (DQEM) for vibration analysis of cracked Timoshenko beams under various boundary conditions.

Numerical Simulation and Experimental Validation of a Ductile Damage Model for DIN 1623 St14 Steel

  • Authors: F. Haji Aboutalebi, M. Farzin, M. Poursina
  • Journal: The International Journal of Advanced Manufacturing Technology, Vol. 53, pp. 157-165 (2011)
  • Citations: 49
  • Summary: Develops and validates a ductile damage model for DIN 1623 St14 steel, crucial for improving sheet metal forming processes.

An XFEM-VCCT Coupled Approach for Modeling Mode I Fatigue Delamination in Composite Laminates Under High Cycle Loading

  • Authors: F. Teimouri, M. Heidari-Rarani, F. H. Aboutalebi
  • Journal: Engineering Fracture Mechanics, Vol. 249, Article 107760 (2021)
  • Citations: 45
  • Summary: Introduces an extended finite element method (XFEM) and virtual crack closure technique (VCCT) to model fatigue delamination in composite laminates under high-cycle loading conditions.

Conclusion

Assoc. Prof. Dr. Farhad Haji Aboutalebi is a strong contender for the Best Researcher Award due to his extensive contributions to mechanical engineering, particularly in damage mechanics and finite element modeling. His research has significant industrial applications, and his high citation impact demonstrates his influence in the field. Expanding international collaborations, securing more research grants, and diversifying into emerging fields could further enhance his candidacy.

 

 

 

Yuanfu Deng | Energy Storage | Best Researcher Award

Prof. Yuanfu Deng | Energy Storage | Best Researcher Award

School of Chemistry and Chemical Engineering at South China University of Technology, China

Prof. Yuan-Fu Deng is a professor at the School of Chemistry and Chemical Engineering, South China University of Technology (SCUT). With a Ph.D. in Physical Chemistry from Xiamen University, he has held academic positions at SCUT since 2005. He has conducted postdoctoral research at the University of Waterloo and was a visiting scholar at HKUST Fok Ying Tung Research Institute. He currently serves as the Deputy Director of Guangdong Electrochemical Energy Engineering Technology Research Center and Secretary General of Guangdong Undergraduate Chemistry Teaching Guidance Committee. His expertise lies in electrochemical energy storage and catalysis, with over 130 publications, including 10 ESI highly cited papers, in top-tier journals like Advanced Energy Materials, ACS Energy Letters, and Journal of Energy Chemistry.

Publication Profile

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Educational Details

  • Ph.D. in Physical Chemistry – Xiamen University, China (2005)

Professional Experience

  • Professor (2015–Present) – School of Chemistry and Chemical Engineering, South China University of Technology (SCUT)
  • Associate Professor (2009–2015) – SCUT
  • Lecturer (2005–2009) – SCUT
  • Postdoctoral Researcher (2007–2008) – Department of Chemistry, University of Waterloo, Canada
  • Visiting Scholar (2010–2013) – HKUST Fok Ying Tung Research Institute, Hong Kong
  • Deputy Director – Guangdong Electrochemical Energy Engineering Technology Research Center
  • Secretary General – Guangdong Undergraduate Chemistry Teaching Guidance Committee

Research Interest

Prof. Deng’s research focuses on electrochemical energy storage and catalysis, emphasizing the development of novel materials, advanced nanostructures, and innovative characterization techniques. His work spans batteries, supercapacitors, and fuel cells, contributing to fundamental and applied advancements in energy storage technologies.

Author Metrics

  • Total Publications: 130+
  • Highly Cited Papers (ESI): 10
  • Key Journals: Advanced Energy Materials, Advanced Functional Materials, ACS Energy Letters, Energy Storage Materials, Journal of Energy Chemistry, Carbon

Top Noted Publication

High-Modulus Solid Electrolyte Interphase Layer with Gradient Composition Enables Long-Cycle All-Solid-State Lithium-Sulfur Batteries

  • Authors: H. Duan, J. Liu, J. He, Y. Deng, G. Chen
  • Journal: Journal of Energy Chemistry, 2024
  • Citations: 5
  • Summary: This study presents a high-modulus solid electrolyte interphase (SEI) with a gradient composition, significantly enhancing the cycle life and stability of all-solid-state lithium-sulfur (Li-S) batteries.

Nickel-Catalyzed Arylcyanation of Alkenes via Cyano Group Translocation: Access to 1,n-Dinitriles or 4-Amino Nitriles

  • Authors: X. Li, S. Wang, X. Fu, H. Jiang, L. Huang
  • Journal: Science China Chemistry, 2024
  • Citations: 2
  • Summary: This paper explores a nickel-catalyzed strategy for arylcyanation of alkenes, offering an efficient method for synthesizing 1,n-dinitriles and 4-amino nitriles via cyano group translocation.

Insight into the Effect of N-Doping Level in N-Doped Carbons Modified Separator on Improving the Electrochemical Performance of Li-S Batteries

  • Authors: S. Wang, L. Ling, Z. Zhang, Y. Tong, Y. Deng
  • Journal: Electrochimica Acta, 2024
  • Citations: 3
  • Summary: Investigates how nitrogen doping in carbon-based separators improves lithium-sulfur battery performance, enhancing conductivity and polysulfide retention.

MXene-Based Materials: Synthesis, Structure, and Their Application for Advanced Lithium-Sulfur Batteries (Review)

  • Authors: L. Liao, S. Wang, H. Duan, Y. Deng
  • Journal: Journal of Energy Storage, 2024
  • Citations: 11
  • Summary: A comprehensive review on the synthesis, structure, and functional applications of MXene-based materials for Li-S battery performance enhancement.

A 3D Framework with an In Situ Generated Li3N Solid Electrolyte Interphase for Superior Lithium Metal Batteries

  • Authors: X. Fu, H. Duan, L. Zhang, Y. Hu, Y. Deng
  • Journal: Advanced Functional Materials, 2023
  • Citations: 15
  • Summary: Introduces a three-dimensional Li3N-based solid electrolyte interphase (SEI) framework that enhances the stability and efficiency of lithium metal batteries.

Conclusion

Prof. Yuanfu Deng is an exceptional candidate for the Best Researcher Award, with a strong publication record, leadership in energy storage research, and contributions to academia and technology. While he could enhance his global collaborations and industry impact, his current achievements in electrochemical energy storage position him as a leading scientist in the field. His work is highly relevant to sustainable energy solutions, making him a strong contender for the award.

 

 

Manish kumar | Sensor Fabrications | Best Paper Award

Dr. Manish kumar | Sensor Fabrications | Best Paper Award

Corresponding Author at iit ropar India

Dr. Manish Kumar is a postdoctoral researcher at the University of Teramo, Italy, specializing in nanomaterials-based sensors, supramolecular chemistry, and machine learning-assisted sensor arrays. He earned his Ph.D. in Chemistry from IIT Ropar in 2024, focusing on chemical sensors for environmental monitoring. His expertise includes electrochemical sensing, ionic liquid synthesis, and nanocomposites for environmental and food safety applications. He has also worked as a research associate at IIT Delhi and has received multiple fellowships and awards, including the CSIR NET-JRF and Best Oral Presentation at GESEP-2023.

Publication Profile

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Educational Details

  • Ph.D. in Chemistry (2024) – Indian Institute of Technology (IIT) Ropar, Punjab, India
    • Thesis: “Organic Cation Receptor and Metal Nanocomposite-based Chemical Sensors for Environmental Monitoring”
    • Supervisor: Prof. Narinder Singh
  • M.Sc. in Chemistry (2018) – Maharshi Dayanand University, Rohtak, India (66.87%)
  • B.Sc. (Hons) in Chemistry (2016) – Pt. Neki Ram Govt. College, Maharshi Dayanand University, Rohtak, India (74.50%)

Professional Experience

  • Postdoctoral Researcher (Nov 2024 – Present)
    • Department of Biosciences and Technologies for Agriculture, Food, and Environment, University of Teramo, Italy
    • Project: HYBRID DEVICES AND MACHINE LEARNING FOR FOOD AND ENVIRONMENTAL SAFETY (HYDEAL4SAFETY)
    • Supervisor: Prof. Dario Compagnone
  • Research Associate (Mar 2024 – June 2024)
    • Department of Chemistry, Indian Institute of Technology (IIT) Delhi, India
    • Project: Development of Functionalized Metal Oxides and Layered Materials for Environmental Sensors
    • Supervisor: Prof. Ritu Gupta
  • Doctoral Researcher (2019 – 2024)
    • IIT Ropar, Punjab, India
    • Research on chemical sensors, nanomaterials, and supramolecular chemistry

Research Interest

  • Development of nanomaterials-based sensors for environmental and biological applications
  • Supramolecular and material chemistry, focusing on cation receptors, ionic liquids, and nanocomposites
  • Electrochemical and chromogenic sensing for environmental monitoring
  • Machine learning-assisted sensor arrays for multi-analyte detection
  • Environmental analysis and water purification technologies

Author Metrics

  • Publications: Multiple research articles in peer-reviewed journals on nanomaterials, electrochemical sensing, and supramolecular chemistry
  • Citations: Notable impact in the field of environmental sensing and material chemistry (exact citation count to be verified)
  • Awards & Fellowships:
    • CSIR NET-JRF (2019) – Rank 88 in Chemical Sciences
    • Senior Research Fellow (IIT Ropar, 2021-2024)
    • Best Oral Presentation (GESEP-2023)
    • GATE (2018) – Qualified in Chemistry

Dr. Kumar has contributed significantly to nanotechnology-driven environmental solutions and continues to advance innovative sensor technologies.

Top Noted Publication

1. Organic Cation Receptor for Colorimetric Lateral Flow Device: Detection of Zearalenone in Food Samples

  • Authors: M. Kumar, G. Singh, N. Kaur, N. Singh
  • Journal: ACS Applied Materials & Interfaces
  • Volume/Issue: 14 (1), Pages 910-919
  • Year: 2022
  • Citations: 27
  • Summary: This study reports a colorimetric lateral flow device using an organic cation receptor for the selective detection of zearalenone (ZEA), a mycotoxin contaminating food samples. The device provides high sensitivity, specificity, and portability, making it a promising tool for on-site food safety analysis.

2. Machine Learning-Based Analytical Systems: Food Forensics

  • Authors: Ranbir, M. Kumar, G. Singh, J. Singh, N. Kaur, N. Singh
  • Journal: ACS Omega
  • Volume/Issue: 7 (51), Pages 47518-47535
  • Year: 2022
  • Citations: 16
  • Summary: This review highlights the role of machine learning algorithms in analytical systems for food forensics, focusing on rapid detection, classification, and quantification of food contaminants. The paper explores AI-driven techniques for food quality assurance, fraud detection, and safety monitoring.

3. Colorimetric Nanozyme Sensor Array Based on Metal Nanoparticle-Decorated CNTs for Quantification of Pesticides in Real Water and Soil Samples

  • Authors: M. Kumar, N. Kaur, N. Singh
  • Journal: ACS Sustainable Chemistry & Engineering
  • Year: 2024
  • Summary: This paper presents a nanozyme-based sensor array for pesticide detection in environmental samples. By decorating carbon nanotubes (CNTs) with metal nanoparticles, the sensor exhibits enhanced peroxidase-like activity, allowing rapid and selective colorimetric detection of pesticides in water and soil samples.

4. NiCr₂O₄ Nanozyme-Based Portable Sensor Kit for On-Site Quantification of Nerve Agent Mimic for Environmental Monitoring

  • Authors: M. Kumar, N. Kaur, N. Singh
  • Journal: Sensors and Actuators B: Chemical
  • Volume: 392, Article 134080
  • Year: 2023
  • Citations: 9
  • Summary: This work develops a portable sensor kit based on NiCr₂O₄ nanozyme for detecting nerve agent mimics in environmental samples. The sensor demonstrates high sensitivity, stability, and real-time detection capability, making it suitable for on-site chemical hazard assessment.

5. Detection and Detoxification of Imidacloprid in Food Samples through Ionic Liquid-Stabilized CuNi Alloy Nanoparticle-Decorated Multiwall Carbon Nanotubes

  • Authors: M. Kumar, N. Kaur, N. Singh
  • Journal: Environmental Science: Nano
  • Volume/Issue: 9 (8), Pages 2750-2763
  • Year: 2022
  • Citations: 4
  • Summary: This study focuses on imidacloprid pesticide detection and detoxification using a CuNi alloy nanoparticle-decorated MWCNT sensor. The developed sensor provides highly sensitive and selective quantification, while the ionic liquid-based stabilization enhances its performance.

Conclusion

Dr. Manish Kumar is a highly promising researcher with significant contributions to nanomaterials-based sensor technologies and environmental safety. His strong publication record, interdisciplinary expertise, and impactful innovations make him a worthy contender for the Best Paper Award.

To strengthen his case further, he should focus on increasing citations, securing independent grants, expanding global collaborations, and pursuing commercialization avenues.

Verdict: Highly Suitable Candidate with potential for further growth in research leadership. 

 

 

Mansureh Ghavam | Antimicrobial | Best Researcher Award

Dr. Mansureh Ghavam | Antimicrobial | Best Researcher Award

Corresponding Author at Department of Nature Engineering, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran 

Dr. Mansureh Ghavam is an Associate Professor in the Department of Range and Watershed Management at the University of Kashan, Iran. She earned her Bachelor’s degree in Natural Resources Engineering from Isfahan University of Technology in 2004 and completed her PhD in medicinal plants at the University of Tehran in 2013. Her doctoral research focused on the genetics, cytogenetics, and phytochemistry of medicinal plants.

Since joining the University of Kashan in 2013, Dr. Ghavam has concentrated her research on the antioxidant and antimicrobial properties of medicinal plants, the application of nanotechnology in medicinal plants, and the cultivation and propagation of these species. Her notable work includes the study titled “Effects of ecological factors on the antioxidant potential and total phenol content of Scrophularia striata Boiss,” published in Scientific Reports in 2019.

Dr. Ghavam has established international collaborations, including a partnership with the University of Cagliari in Italy. Her research contributions have garnered significant recognition, with over 1,000 citations to her work.

Publication Profile

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Educational Details

  • Ph.D. in Rangeland Management (2013) – University of Tehran
    • Dissertation: Investigation of phytochemical, cytogenetic, and genetic characteristics of Smirnovia iranica (Case study: Kashan)
  • M.Sc. in Range Management (2007) – University of Tehran
    • Thesis: Investigating the effect of some ecological features on the quality and quantity of Achillea millefolium essential oil
  • B.Sc. in Rangeland and Watershed Management (2004) – Isfahan University of Technology

Professional Experience

Dr. Mansureh Ghavam is an esteemed researcher and academic specializing in the ecology and phytochemistry of medicinal and industrial plants. She has been actively involved in the cultivation, propagation, and conservation of medicinal plants, with a focus on their ethnobotanical and ethnopharmacological applications. She has collaborated with international institutions, including the University of Cagliari, Italy, contributing to global research initiatives in plant sciences. Dr. Ghavam has been recognized as an exemplary researcher at the University of Kashan from 2020 to 2024 and was listed among the top 2% of researchers worldwide in 2022.

Research Interest

  • Ecology and phytochemistry of medicinal and industrial plants
  • Cultivation and propagation of medicinal and industrial plants
  • Ethnobotany and ethnopharmacology
  • Nanotechnology applications in medicinal plant sciences

Author Metrics

Dr. Ghavam has published extensively in high-impact international journals, covering topics such as the antimicrobial properties of essential oils, the influence of ecological factors on phytochemicals, and nanotechnology applications in natural medicine. Some of her notable works include:

  • Journal of Ethnopharmacology, Extraction of essential oil from Dracocephalum kotschyi Boiss. and evaluation of its antimicrobial properties
  • Scientific Reports, Chemotype of Damask rose with oleic acid and its antimicrobial effectiveness
  • Antioxidants, Nanotechnology for natural medicine: Formulation of neem oil-loaded phospholipid vesicles for skin protection and wound healing

She has an extensive citation record, reflecting her significant contributions to the fields of medicinal plant research and nanotechnology-based formulations.

Top Noted Publication

Effects of Ecological Factors on the Antioxidant Potential and Total Phenol Content of Scrophularia striata Boiss

  • Authors: Z. Zargoosh, M. Ghavam, G. Bacchetta, A. Tavili
  • Journal: Scientific Reports
  • Volume/Issue: 9(1), 16021 (2019)
  • Citations: 216
  • Summary: This study examines how ecological factors influence the antioxidant activity and phenolic content of Scrophularia striata, an important medicinal plant, shedding light on environmental impacts on its pharmacological properties.

Chemical Composition and Antimicrobial Activity of Essential Oils Obtained from Leaves and Flowers of Salvia hydrangea DC. ex Benth.

  • Authors: M. Ghavam, M.L. Manca, M. Manconi, G. Bacchetta
  • Journal: Scientific Reports
  • Volume/Issue: 10(1), 15647 (2020)
  • Citations: 108
  • Summary: This research identifies the chemical components of Salvia hydrangea essential oils and evaluates their antimicrobial properties, demonstrating potential applications in natural antimicrobial formulations.

Study of Antioxidant Activity and Some Herbal Compounds of Dracocephalum kotschyi Boiss. in Different Ages of Growth

  • Authors: H. Moradi, M. Ghavam, A. Tavili
  • Journal: Biotechnology Reports
  • Volume/Issue: 25, e00408 (2020)
  • Citations: 58
  • Summary: This paper explores how the age of Dracocephalum kotschyi affects its antioxidant activity and phytochemical composition, providing insight into optimal harvesting periods for medicinal use.

Chemotype of Damask Rose with Oleic Acid (9-Octadecenoic Acid) and Its Antimicrobial Effectiveness

  • Authors: M. Ghavam, A. Afzali, M.L. Manca
  • Journal: Scientific Reports
  • Volume/Issue: 11(1), 8027 (2021)
  • Citations: 57
  • Summary: This study identifies a unique chemotype of Rosa damascena rich in oleic acid and assesses its antimicrobial efficacy, highlighting its potential in natural antimicrobial product development.

Extraction of Essential Oil from Dracocephalum kotschyi Boiss. (Lamiaceae), Identification of Two Active Compounds, and Evaluation of the Antimicrobial Properties

  • Authors: M. Ghavam, M. Manconi, M.L. Manca, G. Bacchetta
  • Journal: Journal of Ethnopharmacology
  • Volume/Issue: 267, 113513 (2021)
  • Citations: 57
  • Summary: This work details the extraction process of Dracocephalum kotschyi essential oil, the identification of its bioactive compounds, and their antimicrobial properties, contributing to ethnopharmacological research.

Conclusion

Dr. Mansureh Ghavam is a strong candidate for the Best Researcher Award, with an impressive publication record, high citations, international collaborations, and groundbreaking work in medicinal plant sciences and nanotechnology. Addressing industry engagement, funding opportunities, and commercialization aspects could further solidify her position as a leading researcher. Given her existing achievements and potential for further contributions, she is highly suitable for this award.

 

 

VSSNVG Krishna Murthy Somanchi | Applied mathematics | Best Researcher Award

Prof. Dr. VSSNVG Krishna Murthy Somanchi | Applied mathematics | Best Researcher Award

Professor at Defence Institute of Advanced Technology, India

Prof. Dr. VSSNVG Krishna Murthy Somanchi is an esteemed mathematician and academic leader with extensive expertise in computational and applied mathematics. He has been instrumental in advancing numerical methods and mathematical modeling techniques, particularly in fluid dynamics and computational simulations. A recipient of the Erasmus Mundus – WILLPower Fellowship (2010-11) at École Centrale Paris, he has also been honored with the Best Teacher Award from G. Narayanamma Institute of Technology & Science in 2001. Dr. Krishna Murthy has served as Vice President and Executive Council Member of ISTAM (IIT Kharagpur) and is actively involved in international research collaborations, conference organizations, and curriculum development in applied mathematics and artificial intelligence.

Publication Profile

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Educational Details

Prof. Dr. VSSNVG Krishna Murthy Somanchi earned his Ph.D. in Mathematics from the Indian Institute of Technology Kanpur in 2010. He completed his M.Sc. in Mathematics from Osmania University, Hyderabad, in 1995 and obtained his B.Sc. in Mathematics, Physics, and Instrumentation from Andhra University, Visakhapatnam, in 1992. His postdoctoral research was conducted at École Centrale Paris, France, where he was a Postdoctoral Fellow from October 2010 to May 2011.

Professional Experience

Dr. Krishna Murthy is currently a Professor and Head of the Department of Applied Mathematics at the Defence Institute of Advanced Technology (DIAT), Pune, where he has served since 2011. Prior to this, he was an Assistant Professor at G. Narayanamma Institute of Technology & Science, Hyderabad (1998–2010), Sri Vani Degree College, Hyderabad (1998), and Vazir Sultan College of Engineering, Khammam (1995–1998). Over his distinguished career, he has played a pivotal role in developing new academic programs, leading research initiatives, and holding various administrative positions, including membership in the Board of Management, Academic Council, and Doctoral Research Committees at DIAT.

Research Interest

Dr. Krishna Murthy’s research focuses on fluid flow through porous media, finite element analysis, computational fluid dynamics (CFD), numerical methods for partial differential equations, mathematical modeling, numerical parallel algorithms, and parallel computing. His work contributes to advancements in mathematical simulations and computational techniques with applications across engineering and applied sciences.

Author Metrics

  • Publications & Editorial Roles: He has contributed to numerous research publications and serves on the editorial boards of various international journals, including Springer Nature Applied Sciences, Journal of Thermal Engineering, and multiple SCIREA and SciencePG journals.
  • Research Contributions: Developed M.Tech. programs in Data Science and Artificial Intelligence, along with courses in Mathematical Cryptography, Computational Mechanics, and Machine Learning.
  • Funding & Grants: Successfully secured research funding for international conferences and short courses, with grants exceeding ₹25.47 lakhs from DST, CSIR, DRDO, and ISTAM.
  • Memberships: Life member of ISTAM, IAENG, and WASET, and has held key positions in various academic and research committees.

Top Noted Publication

Mathematical Modelling of Pulsatile Flow of Blood Through Catheterized Unsymmetric Stenosed Artery—Effects of Tapering Angle and Slip Velocity

  • Authors: J.V.R. Reddy, D. Srikanth, S.K. Murthy
  • Journal: European Journal of Mechanics – B/Fluids
  • Volume: 48, Pages: 236–244, Year: 2014
  • Citations: 41
  • Summary: Investigates pulsatile blood flow through a catheterized artery with asymmetrical stenosis, considering tapering angle and slip velocity effects.

Influence of MHD Forces on Bejan’s Heatlines and Masslines in a Doubly Stratified Fluid-Saturated Darcy Porous Enclosure in the Presence of Soret and Dufour Effects

  • Authors: B.V.R.K. Vinay Kumar, V.S.S.N.V.G. Krishna Murthy
  • Journal: International Journal of Heat and Mass Transfer
  • Volume: 117, Pages: 1041–1062, Year: 2018
  • Citations: 33
  • Summary: Analyzes heat and mass transport in a stratified porous enclosure under magnetic field effects, incorporating Soret and Dufour diffusion.

Soret and Dufour Effects on Double-Diffusive Free Convection from a Corrugated Vertical Surface in a Non-Darcy Porous Medium

  • Authors: B.V.R. Kumar, S.K. Murthy
  • Journal: Transport in Porous Media
  • Volume: 85, Pages: 117–130, Year: 2010
  • Citations: 28
  • Summary: Examines the impact of Soret and Dufour effects on heat and mass transfer for double-diffusive convection near a wavy vertical surface.

Neural Network Based Analysis of Lightweight Block Cipher PRESENT

  • Authors: G. Mishra, S. Krishna Murthy, S.K. Pal
  • Book Chapter: Harmony Search and Nature Inspired Optimization Algorithms: Theory and Applications
  • Year: 2019
  • Citations: 22
  • Summary: Explores neural network techniques for analyzing PRESENT, a lightweight block cipher used in IoT security.

Study and Analysis of eSTREAM Cipher Salsa and ChaCha

  • Authors: P. Yadav, I. Gupta, S.K. Murthy
  • Conference: 2016 IEEE International Conference on Engineering and Technology (ICETECH)
  • Year: 2016
  • Citations: 22
  • Summary: Compares the security performance of eSTREAM ciphers, Salsa and ChaCha, with an emphasis on cryptographic resilience.

Conclusion

Prof. Dr. VSSNVG Krishna Murthy Somanchi is a strong candidate for the Best Researcher Award, given his significant contributions to computational mathematics, leadership in academic research, and ability to secure research funding. His experience in research collaborations, curriculum development, and numerical methods strengthens his profile.

To further enhance his suitability, he could increase international engagement, focus on publishing more high-impact research in recent years, and explore cutting-edge applications in AI and computational sciences.

Overall, he is a highly accomplished researcher, and if the award criteria prioritize long-term impact, leadership, and academic contributions, he is a very strong contender.

 

 

Mostafa Jalilifar | Medical Physics | Best Researcher Award

Dr. Mostafa Jalilifar | Medical Physics | Best Researcher Award

Researcher at Iran University of Medical Sciences, Iran

Dr. Mostafa Jalilifar is a medical physicist with expertise in nuclear medicine, radiation therapy, and AI-driven medical imaging. He is currently completing his Ph.D. at Iran University of Medical Sciences, focusing on deep learning-based dosimetry for thyroid cancer treatments. He has taught at leading academic institutions in Iran, contributed to multiple research projects in medical physics, and actively publishes in the field. His work bridges advanced imaging techniques with artificial intelligence to improve patient outcomes in nuclear medicine.

Publication Profile

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Educational Details

  • Ph.D. in Medical Physics (2019–2024) – Iran University of Medical Sciences
    • Thesis: Estimation of Patient-Specific Absorbed Dose in Radioiodine Therapy of Thyroid Cancer Patients Based on Planar (2D) and SPECT (3D) Images Using Deep Learning.
  • M.Sc. in Medical Physics (2013–2016) – Jundi Shapur University of Medical Sciences, Iran
    • Thesis: Quantitative Evaluation of EEG During Amygdala Kindling to Categorize Different Stages of Kindling: A Step to Develop a Seizure Prevention Technique.
  • B.Sc. in Medical Radiation Engineering (2009–2013) – Islamic Azad University, Tehran Science and Research Branch

Professional Experience

Dr. Mostafa Jalilifar is a medical physicist specializing in nuclear medicine, radiation therapy, and medical imaging analysis. He has taught extensively at various academic institutions, including Iran University of Medical Sciences and Shahid Chamran University of Ahvaz. His teaching portfolio includes undergraduate and graduate courses such as Basic Physics, Medical Physics, and New Perspectives in Nuclear Medicine. He has also contributed to laboratory training and hands-on learning for medical students.

Dr. Jalilifar’s research focuses on dosimetry, radiotherapy optimization, deep learning applications in medical imaging, and quantitative analysis of brain activity during seizure development. His doctoral research integrates artificial intelligence with nuclear medicine imaging to enhance patient-specific dose estimations in thyroid cancer treatments.

Research Interest

  • Nuclear Medicine and Radiation Therapy
  • Dosimetry and Patient-Specific Dose Estimation
  • Medical Imaging Analysis (SPECT, PET, Planar Imaging)
  • AI and Deep Learning in Medical Imaging
  • EEG Analysis and Seizure Prediction

Top Noted Publication

Title: Quantifying Partial Volume Effect in SPECT and Planar Imaging: Optimizing Region of Interest for Activity Concentration Estimation in Different Sphere Sizes
Authors: Mostafa Jalilifar, Mahdi Sadeghi, Alireza Emami-Ardekan, Kouhyar Geravand, Parham Geramifar
Journal: Nuclear Medicine Communications
Year: 2024
Citations: 1

Conclusion

Dr. Mostafa Jalilifar is a strong candidate for the Best Researcher Award. His research in AI-driven nuclear medicine imaging and patient-specific dosimetry is highly innovative and clinically relevant. To enhance his competitiveness, he should focus on increasing citation impact, securing leadership roles, and publishing in high-impact journals. With his expertise in medical physics, radiation therapy, and AI integration, he is well-positioned to make significant contributions to the field.

 

 

Safa Nouaa | Environmental Applications | Best Researcher Award

Mrs. Safa Nouaa | Environmental Applications | Best Researcher Award

Safa Nouaa at Université Ibn Zohr/Faculté des sciences Agadir, Morocco

Safa Nouaa is a Ph.D. researcher in Applied Chemistry and Environmental Engineering at Ibn Zohr University, specializing in adsorbent materials and wastewater treatment. She has published multiple peer-reviewed articles and presented her findings at international conferences. Her work explores enzyme immobilization, composite materials for pollutant removal, and adsorption kinetics. She has received research funding from the Service de Coopération et d’Action Culturelle of the French Embassy in Morocco. She collaborates with institutions such as Université de Lille, INRA, and Technical University of Iași. Her contributions aim to develop cost-effective and sustainable solutions for industrial wastewater treatment and environmental protection.

Publication Profile

Scopus

Educational Details

Safa Nouaa is a Ph.D. candidate in Applied Chemistry and Environmental Engineering at Ibn Zohr University, Faculty of Sciences, Agadir, Morocco (2021–present). She holds a Master’s Degree in Chemistry from Cadi Ayyad University, Marrakech (2016–2018) and a Bachelor’s Degree in Chemistry from Ibn Zohr University, Agadir (2013–2016). She completed her Baccalaureate in Experimental Sciences from Mohamed V High School, Essaouira, in 2013.

Professional Experience

Safa Nouaa has significant experience in research and industrial applications of chemistry, particularly in environmental remediation and cosmetic formulations. She worked as a Purchasing and Procurement Manager at Carmel Cosmetics Labs (2023), ensuring efficient supplier selection and inventory management. Prior to this, she was a Project Consultant and Production Manager at Vanadis (2021–2022), where she formulated and tested new cosmetic prototypes following COSMOS standards. She also served as a Technical Manager at Zymophar Biotech (2019–2020), overseeing production processes and ensuring compliance with ISO 22716. Her experience spans product formulation, R&D, quality control, and procurement.

Research Interest

  • Enzyme Immobilization – Enhancing stability and reusability of biocatalysts.
  • Adsorbent Materials – Synthesis and characterization of novel materials for wastewater treatment.
  • Wastewater Treatment – Removal of pollutants using advanced materials and enzymatic processes.
  • Environmental Remediation – Sustainable solutions for pollution control.
  • Physicochemical Characterization – Material analysis using FTIR, SEM, XRD, and other techniques.
  • Adsorption Kinetics & Thermodynamics – Understanding pollutant removal mechanisms.

Author Metrics:

  • Publications: 7 (Indexed in SCI, Scopus)
  • Citation Index: 37
  • Books Published: 1
  • Industry/Consultancy Projects: Several in environmental and cosmetic chemistry
  • Editorial Roles: Contributions to peer-reviewed journals
  • Collaborations: Service de Coopération et d’Action Culturelle (French Embassy in Morocco), Agence Universitaire de la Francophonie, Université de Lille, INRA, and Technical University of Iași.

Top Noted Publication

Exploiting RSM and ANN Modeling Methods to Optimize Phosphate Ions Removal Using LDH/Alginate Composite Beads

Authors:
  • Safa Nouaa
  • Rachid Aziam
  • Ridouan Benhiti
  • Mohamed Zerbet
  • Mohamed Chiban
Published in:

Journal of Water Process Engineering, 2024

Abstract:

This study explores the optimization of phosphate ion removal from aqueous solutions using layered double hydroxide (LDH)/alginate composite beads. Response Surface Methodology (RSM) and Artificial Neural Network (ANN) modeling approaches were employed to enhance adsorption efficiency. The synthesized composite beads were characterized using physicochemical techniques, and adsorption kinetics, isotherms, and thermodynamics were analyzed. The models provided accurate predictions, aiding in process optimization for improved wastewater treatment efficiency.

Conclusion

Mrs. Safa Nouaa is a strong candidate for the Best Researcher Award. Her work in environmental remediation and wastewater treatment, coupled with international collaborations and industrial applications, makes her a notable researcher. To enhance her profile further, she could aim for higher-impact publications, leadership roles in research projects, and increased citation impact. With her multidisciplinary expertise and innovative approaches, she is well-positioned for future recognition in environmental science and applied chemistry.

 

 

Zahra Ghasemi | Environmental pollution | Best Researcher Award

Assoc. Prof. Dr. Zahra Ghasemi | Environmental pollution | Best Researcher Award

Zahra Ghasemi at University of Hormozgan, Iran

Dr. Zahra Ghasemi is a respected academic and researcher in Environmental Science, specializing in environmental pollution and nanotechnology. She has a PhD from Tarbiat Modares University and a track record of significant contributions to sustainable water treatment technologies and environmental management. Dr. Ghasemi is involved in several groundbreaking projects, particularly focusing on the use of nanomaterials for wastewater treatment and pollution control.

Publication Profile

Scopus

Orcid

Educational Details

Dr. Zahra Ghasemi is an Associate Professor of Environmental Science, specializing in Environmental Pollution, at the Faculty of Marine Sciences and Technologies, Hormozgan University. She holds a Bachelor’s degree in Natural Resources Engineering – Environmental Science from the Industrial University of Isfahan (2000-2004). Dr. Ghasemi earned her Master’s degree in Environmental Science from Tarbiat Modares University, Faculty of Natural Resources and Marine Sciences, Noor (2006-2008). She completed her PhD in Environmental Science with a focus on Environmental Pollution at Tarbiat Modares University, where she conducted a dissertation titled “Removal of Organic Pollutants from Petroleum Refinery Wastewater Using TiO2-Fe-ZSM-5 Nanoporous Photocatalyst” (2011-2015). She also participated in a research opportunity at the University of Western Ontario, Canada, in 2014, working on the project “Adsorption of Cr(VI) onto Eco-friendly Multifunctional Na-P1 Zeolite Synthesized from Coal Fly Ash.”

Professional Experience

Dr. Ghasemi has significant teaching and research experience, currently serving as an Associate Professor at Hormozgan University. She is an expert in environmental pollution management and nanotechnology applications in environmental remediation. Her career has been marked by multiple research projects focused on water pollution, wastewater treatment, and environmental sustainability. Notable collaborations include the development of environmental management plans for major refinery projects and the investigation of the environmental impact of agricultural desalination plants. Additionally, Dr. Ghasemi has contributed as a core member of the Research Nucleus of Nanoscience and Advanced Materials at Hormozgan University.

Research Interest

  • Removal of organic pollutants from industrial wastewater using photocatalytic and nanomaterial-based solutions.
  • Application of nanomaterials in environmental remediation, particularly TiO2-based photocatalysts.
  • Environmental impact assessments of industrial projects, focusing on sustainable development and water resource management.
  • Industrial production of microalgae for sustainable applications in environmental science and biotechnology.

Top Noted Publication

1. Optimization of a two-stage reverse osmosis pilot system for Caspian seawater desalination using response surface methodology: SEC reduction through recovery increase, Fe fouling, and scaling control

  • Authors: Ghasemi, Z., MirBagheri, S.A., Vafaei, F.
  • Journal: International Journal of Environmental Science and Technology, 2024, 21(1), pp. 493–514
  • Abstract: This study focuses on optimizing a two-stage reverse osmosis desalination system for Caspian seawater. The research highlights the reduction of scaling, iron fouling, and the increase in recovery rates through response surface methodology.
  • Citations: 1

2. Toxicological Impacts of TiO2 Nanoparticles on Growth, Photosynthesis Pigments, and Protein and Lipid Content of the Marine Microalga Tetraselmis Suecica

  • Authors: Bameri, L., Sourinejad, I., Ghasemi, Z., Fazelian, N.
  • Journal: Bulletin of Environmental Contamination and Toxicology, 2023, 111(3), pp. 29
  • Citations: 8

3. The Significance of Environmental Factors in Human-Centred Lighting Policy

  • Authors: Pourfathollah, M., Ghasemi, Z., Shams Dolatabadi, H.S., Alilou, M.
  • Journal: Journal of Environmental Assessment Policy and Management, 2022, 24(4), 2250037
  • Citations: 1

4. A Review of Recent Advances in Natural Polymer-Based Scaffolds for Musculoskeletal Tissue Engineering

  • Authors: Fan, J., Abedi-Dorcheh, K., Vaziri, A.S., Klavins, K., Jahed, V.
  • Journal: Polymers, 2022, 14(10), 2097
  • Citations: 39

5. Toxicity of TiO2 nanoparticles to the marine microalga Chaetoceros muelleri Lemmermann, 1898 under long-term exposure

  • Authors: Bameri, L., Sourinejad, I., Ghasemi, Z., Fazelian, N.
  • Journal: Environmental Science and Pollution Research, 2022, 29(20), pp. 30427–30440
  • Citations: 13

Conclusion

Dr. Zahra Ghasemi is an exemplary candidate for the Best Researcher Award due to her profound contributions to environmental pollution research, especially through the application of nanotechnology. Her work on wastewater treatment and pollution control has not only advanced scientific understanding but also contributed to practical, sustainable solutions. While there are areas for improvement, particularly in citation impact and broadening research collaborations, her expertise, innovative approach, and leadership in the field make her a strong contender for this prestigious award.

 

 

Alireza Rashki | Aeolian Research | Best Researcher Award

Assoc. Prof. Dr. Alireza Rashki | Aeolian Research | Best Researcher Award

Researcher at Ferdowsi University of Mashhad, Iran

Assoc. Prof. Dr. Alireza Rashki is an Associate Professor at Ferdowsi University of Mashhad (FUM), Iran, specializing in atmospheric aerosols, wind erosion, dust storms, desertification control, and environmental remote sensing. He earned his Ph.D. in Geoinformatics from the University of Pretoria, South Africa, in 2012, focusing on the mineral, chemical, and optical properties of dust storms in the Sistan region. With over 15 years of research experience, Dr. Rashki has published more than 100 peer-reviewed articles, including over 50 indexed in Scopus, with an H-index of 27. He has contributed to international projects, developed GIS and remote sensing curricula, and served in key academic and research leadership roles. Dr. Rashki is proficient in GIS, remote sensing, machine learning, and UAV image processing. His work has significantly influenced environmental monitoring and dust storm mitigation strategies.

Publication Profile

Scopus

Orcid

Google Scholar 

Educational Details

Dr. Alireza Rashki earned his Ph.D. in Geoinformatics from the University of Pretoria, South Africa, in 2012, focusing on the seasonality, mineral, chemical, and optical properties of dust storms in the Sistan region of Iran and their influence on human health. He holds an M.Sc. in Natural Resources Engineering – Watershed Management from Gorgan University of Agricultural Sciences and Natural Resources (2005) and a B.Sc. in Natural Resources Engineering – Rangeland and Watershed Management from Sistan and Baluchistan University (2000).

Professional Experience

Dr. Rashki is an Associate Professor in the Department of Desert and Arid Zone Management at Ferdowsi University of Mashhad (FUM), Iran, where he has been serving since 2013. He has extensive experience in environmental management, previously working as a research scholar at the Agricultural and Natural Resources Research Center (2004–2009) and as a postdoctoral associate at the University of Pretoria (2012–2013). His international engagements include developing and lecturing in the EU-funded International MSc Educational Program on Environmental Management and Modelling (GeoNetC), where he designed and taught courses in GIS and remote sensing (2017–2019). Additionally, he has held leadership roles such as Head of International Cooperation and Development and Head of Communication with Society and Industry at FUM.

Research Interest

Dr. Rashki specializes in atmospheric aerosols, wind erosion, dust storms, environmental remote sensing, and desertification control. His research integrates fieldwork, GIS, and advanced modeling techniques to assess the impact of aeolian processes on human health, air quality, and land degradation. He has expertise in species distribution modeling, machine learning applications in environmental science, and dust trajectory analysis.

Author Metrics

Dr. Rashki has published over 100 peer-reviewed articles, including more than 50 indexed in Scopus and Web of Science. His research has been widely cited, with an H-index of 27 on Scopus and over 2,800 citations on Google Scholar. He has been recognized as a Top Researcher at Ferdowsi University multiple times (2019–2022).

Top Noted Publication

Dust storms and their horizontal dust loading in the Sistan region, Iran

  • Authors: A. Rashki, D.G. Kaskaoutis, C.J.W. Rautenbach, P.G. Eriksson, M. Qiang, et al.
  • Journal: Aeolian Research, Volume 5, Pages 51–62 (2012)
  • Citations: 252
  • Summary: This study analyzes the horizontal dust loading of dust storms in Sistan, Iran, evaluating their intensity, frequency, and sources. The research highlights the significant contribution of the Hamoun dry lake beds as major dust sources.

Dryness of ephemeral lakes and consequences for dust activity: the case of the Hamoun drainage basin, southeastern Iran

  • Authors: A. Rashki, D.G. Kaskaoutis, A.S. Goudie, R.A. Kahn
  • Journal: Science of the Total Environment, Volume 463, Pages 552–564 (2013)
  • Citations: 236
  • Summary: This paper explores how the drying of the Hamoun lakes exacerbates dust storm activity in Sistan. It assesses land surface conditions, meteorological drivers, and environmental impacts of increased dust emission.
  • Assessment of chemical and mineralogical characteristics of airborne dust in the Sistan region, Iran
  • Authors: A. Rashki, P.G. Eriksson, C.J.W. Rautenbach, D.G. Kaskaoutis, W. Grote, et al.
  • Journal: Chemosphere, Volume 90 (2), Pages 227–236 (2013)
  • Citations: 168
  • Summary: This research investigates the chemical and mineral composition of airborne dust in Sistan. It identifies heavy metals, salts, and other minerals that have implications for air quality, human health, and climate.

Dust storms in Iran – Distribution, causes, frequencies and impacts

  • Authors: A. Rashki, N.J. Middleton, A.S. Goudie
  • Journal: Aeolian Research, Volume 48, Article 100655 (2021)
  • Citations: 166
  • Summary: A comprehensive review of dust storm patterns across Iran, detailing their meteorological drivers, seasonal trends, and ecological consequences. The study also discusses potential mitigation strategies.

Dust-storm dynamics over Sistan region, Iran: Seasonality, transport characteristics, and affected areas

  • Authors: A. Rashki, D.G. Kaskaoutis, P. Francois, P.G. Kosmopoulos, M. Legrand
  • Journal: Aeolian Research, Volume 16, Pages 35–48 (2015)
  • Citations: 163
  • Summary: This study examines the seasonality and transport pathways of dust storms in Sistan. It uses satellite data, meteorological observations, and modeling to track dust movement and its impact on air quality and climate.

Conclusion

Assoc. Prof. Dr. Alireza Rashki is a highly accomplished researcher with significant contributions to aeolian research, atmospheric science, and environmental management. His strong publication record, international collaborations, and leadership roles make him an excellent candidate for the Best Researcher Award. Addressing areas like larger research grants, policy collaborations, and public outreach would further solidify his standing as a global leader in his field.

 

 

Paolo Foraboschi | Structural Engineering | Best Researcher Award

Prof. Paolo Foraboschi | Structural Engineering | Best Researcher Award

Professor at Università Iuav di Venezia, Italy

Prof. Paolo Foraboschi is a renowned structural engineer and academic, specializing in seismic-resistant structures, composite materials, and structural glass. He is a professor at IUAV University of Venice and teaches Structural and Seismic Engineering at the University of Modena and Reggio Emilia in San Marino. An esteemed researcher, he has been consistently ranked among the top 2% most cited researchers worldwide by Elsevier & Stanford University. With over 213 publications, including 99 journal articles and 20 book contributions, his research has significantly influenced structural engineering practices. Beyond academia, he runs a private structural engineering firm in Bologna, focusing on design, project management, and structural testing.

Publication Profile

Scopus

Orcid

Google Scholar 

Educational Details

Paolo Foraboschi earned his degree in Civil Engineering from the Faculty of Engineering at the University of Bologna in the 1983-84 academic year, graduating with a perfect score of 100/100 with honors. He later obtained his Ph.D. in Structural Engineering in 1990, further advancing his expertise in seismic-resistant structures and advanced materials in construction.

Professional Experience

Prof. Foraboschi is a distinguished academic and practicing structural engineer with extensive experience in teaching, research, and professional consulting. He is a professor in the Scientific-Disciplinary Sector of Structural Engineering at IUAV University of Venice. Additionally, he teaches Structural Engineering at the undergraduate level and Seismic Engineering at the master’s level at the University of Modena and Reggio Emilia, based in San Marino.

Beyond academia, he runs a private structural engineering practice in Bologna, specializing in design, project management, and testing of both new and existing buildings. His professional contributions include active participation in the National Research Council (CNR) Working Groups, where he contributed to the development of guidelines for structural strengthening with fiber-reinforced composites (CNR-DT 200/2004, revised in 2013) and structural glass design (CNR-DT 210/2013).

Research Interest

  • Seismic-resistant structures
  • Structural identification and failure analysis
  • Masonry and composite structures (hybrid, mixed, laminated, sandwich)
  • Strengthening techniques using FRP and FRCM composites
  • Structural glass and thin-walled structures
  • High-rise buildings and exoskeletons
  • Anchoring systems in concrete and masonry

Author Metrics

  • Scopus: 51 articles (49 in journals, 39 single-authored), 2,210 citations, h-index: 34
  • MIUR Academic Profile: 213 publications (99 journal articles, 20 book contributions)
  • Recognized in the Elsevier & Stanford University ranking among the top 2% most cited researchers worldwide
  • Rated excellent in ANVUR’s Research Quality Assessment

Top Noted Publication

Experimental investigation on bricks from historical Venetian buildings subjected to moisture and salt crystallization

  • Authors: P. Foraboschi, A. Vanin
  • Journal: Engineering Failure Analysis
  • Volume: 45
  • Pages: 185-203
  • Year: 2014
  • Citations: 81
  • Summary:
    This study examines the effects of moisture and salt crystallization on bricks from historic Venetian buildings. It provides insights into material degradation mechanisms and proposes conservation strategies for preserving architectural heritage.

Broken tempered laminated glass: Non-linear discrete element modeling

  • Authors: D. Baraldi, A. Cecchi, P. Foraboschi
  • Journal: Composite Structures
  • Volume: 140
  • Pages: 278-295
  • Year: 2016
  • Citations: 76
  • Summary:
    The paper presents a non-linear discrete element model to simulate the behavior of broken tempered laminated glass. It evaluates the residual load-bearing capacity and fracture patterns, contributing to safer and more resilient glass structures.

Three-layered plate: Elasticity solution

  • Author: P. Foraboschi
  • Journal: Composites Part B: Engineering
  • Volume: 60
  • Pages: 764-776
  • Year: 2014
  • Citations: 72
  • Summary:
    This research derives an elasticity solution for three-layered plates, addressing bending, shear, and stress distribution. The findings are valuable for designing composite and sandwich structures with optimized mechanical performance.

Versatility of steel in correcting construction deficiencies and in seismic retrofitting of RC buildings

  • Author: P. Foraboschi
  • Journal: Journal of Building Engineering
  • Volume: 8
  • Pages: 107-122
  • Year: 2016
  • Citations: 67
  • Summary:
    This paper discusses the use of steel in reinforcing and retrofitting RC buildings, particularly for seismic improvements. It highlights the flexibility and effectiveness of steel in mitigating construction flaws and enhancing structural resilience.

Analytical model to predict the lifetime of concrete members externally reinforced with FRP

  • Author: P. Foraboschi
  • Journal: Theoretical and Applied Fracture Mechanics
  • Volume: 75
  • Pages: 137-145
  • Year: 2015
  • Citations: 67
  • Summary:
    The study presents an analytical model to estimate the durability and failure time of concrete members reinforced with fiber-reinforced polymers (FRP). The model accounts for mechanical and environmental factors, providing a tool for predicting structural longevity.

Conclusion

Prof. Paolo Foraboschi is a highly suitable candidate for the Best Researcher Award. His extensive contributions in structural engineering, seismic safety, and material innovation have earned global recognition. His high citation index, leadership in academia and industry, and policy contributions solidify his standing as a leading researcher. While increasing public outreach, global collaborations, and research commercialization could further amplify his impact, his achievements already make him a strong contender for this prestigious award.