Badrul Hisham Yahaya | Stem cell | Best Researcher Award

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Assoc. Prof. Dr. Badrul Hisham Yahaya | Stem cell | Best Researcher Award 

Deputy Director, at University of Science Malaysia, Malaysia.

Assoc. Prof. Dr. Badrul Hisham Yahaya is a distinguished researcher and academic specializing in stem cell research, regenerative medicine, and cancer biology. He currently serves as an Associate Professor at the Advanced Medical and Dental Institute (IPPT), Universiti Sains Malaysia (USM). With over a decade of experience in tissue engineering, organoid development, and lung injury repair, he has led groundbreaking studies on cancer stem cells and regenerative therapies. His leadership roles include Head of the Breast Cancer Translational Research Program (BCTRP@IPPT) and Deputy Director (Research & Networks) at USM. His contributions to biomedical research are evident in his extensive publication record, external research funding, and supervision of numerous postgraduate students. Dr. Badrul’s work has been widely cited, with an H-index of 21 (Scopus) and 26 (Google Scholar), reflecting his impact on the global scientific community.

Professional Profile

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🎓 Education

Dr. Badrul Hisham Yahaya holds a Ph.D. in Regenerative Medicine from the University of Edinburgh, Scotland (2010), where he specialized in stem cell therapies and tissue engineering. Prior to that, he completed his M.Sc. in Human Genetics (2006) at Universiti Sains Malaysia (USM), where he developed expertise in genetic engineering and cellular biology. His academic journey began with a B.Sc. (Hons) in Genetics from Universiti Kebangsaan Malaysia (2002), where he laid the foundation for his passion in biomedical sciences and regenerative medicine. His strong academic background has enabled him to lead pioneering research in stem cell-based therapies, cancer biology, and organoid development, contributing significantly to advancements in tissue regeneration and disease modeling.

💼 Work Experience

Dr. Badrul has over 14 years of experience in biomedical research and academia. He started as a Senior Lecturer (2010-2015) at USM before being promoted to Associate Professor (2016-present). His leadership in regenerative medicine and biomedical sciences is evident in his roles as Head of the Regenerative Medicine Cluster (2013-2015, 2017), Director of the Animal Research & Service Centre (ARASC, 2019-2021), and Head of the Breast Cancer Translational Research Program (BCTRP@IPPT, 2022-present). In 2025, he is set to take on the role of Deputy Director (Research & Networks) at USM, where he will oversee collaborative biomedical research and innovation. His expertise in stem cell therapy, lung injury repair, and cancer research has positioned him as a key figure in Malaysia’s biomedical research landscape.

🔬 Research Interests

Dr. Badrul’s research spans stem cell therapy, regenerative medicine, and cancer biology, with a focus on tissue engineering, organoids, and lung injury repair. His studies involve developing novel stem cell-based treatments for chronic lung diseases, breast cancer, and chemotherapy-induced tissue damage. His pioneering work on cancer stem cells and tumor microenvironments has led to significant discoveries in targeted cancer therapies. Additionally, he explores animal modeling for lung regeneration, aiming to develop innovative approaches for treating respiratory diseases like COPD and asthma. His work also extends to 3D-printed tracheal scaffolds and extracellular vesicles (EVs) for regenerative medicine, pushing the boundaries of bioengineering and personalized medicine.

🏆 Awards & Recognitions

Dr. Badrul’s outstanding contributions to biomedical sciences have earned him several prestigious research grants and awards. His notable recognitions include:

  • Best Research Award for advancements in stem cell-based cancer therapies
  • International Grant (NSGF, Japan) for developing 3D-printed tracheal scaffolds
  • MOSTI Science Fund Grant for investigating the regenerative potential of a honey-based inhaler for asthma
  • TRGS (MoHE) Grant for pioneering research on ceramic/polymer scaffolds for bone regeneration
  • FRGS (MoHE) Grant for exploring the roles of ALDH1A1 and RARB1 in lung cancer stem cells
  • USM-RIKEN Matching Grant for airway regeneration studies
    His research has been supported by both national and international funding agencies, solidifying his reputation as a leading scientist in regenerative medicine.

📚 Top Noted Publications

Dr. Badrul has authored numerous high-impact publications in esteemed peer-reviewed journals. His research contributions have significantly influenced stem cell therapy, regenerative medicine, and cancer research. Some of his top publications include:

  • Sun et al. (2024) – Notch Protein Remodeling for Tumor Therapy

    • Discusses the development of intelligent drugs that remodel Notch proteins to selectively target tumors.
    • Presents a novel strategy for defensive targeting in cancer therapy.
    • Published in Cell Death & Disease.

  • Zhang et al. (2023) – Endometrial Stem Cells for Ovarian Insufficiency

    • Investigates menstrual blood-derived endometrial stem cells as a promising treatment for chemotherapy-induced premature ovarian insufficiency.
    • Highlights the regenerative potential of these stem cells in fertility preservation.
    • Published in Stem Cell Research & Therapy.

  • Shaffi et al. (2023) – Airway Organoid Development

    • Reviews advancements in airway organoid culture techniques.
    • Focuses on direct culture strategies for rapid organoid development.
    • Published in Advances in Experimental Medicine and Biology.

  • Ridzuan et al. (2021) – Mesenchymal Stem Cells for COPD

    • Explores how extracellular vesicles from human umbilical cord mesenchymal stem cells reduce airway inflammation in a rat COPD model.
    • Suggests a potential stem cell-based therapy for chronic respiratory diseases.
    • Published in Stem Cell Research & Therapy.

  • Halim et al. (2019) – Mesenchymal Stem Cells and Airway Repair

    • Examines the role of mesenchymal stem cell-secreted factors in repairing damaged airway epithelium.
    • Demonstrates potential applications in regenerative medicine for lung diseases.
    • Published in Regenerative Medicine.

Conclusion

Assoc. Prof. Dr. Badrul Hisham Yahaya is a highly accomplished researcher with a strong track record in regenerative medicine, stem cell research, and tissue engineering. His impactful publications, successful research grants, and contributions to student mentorship make him a strong contender for the Best Researcher Award. Strengthening global collaborations, industry partnerships, and public engagement could further solidify his position as a leading figure in his field.

Yousry AbdulAzeem | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Yousry AbdulAzeem | Artificial Intelligence | Best Researcher Award

Associate Professor at School of Computational Sciences and Artificial Intelligence (CSAI), Zewail City of Science and Technology, Egypt

Assoc. Prof. Dr. Yousry AbdulAzeem is a computer science researcher and educator specializing in distributed database systems, artificial intelligence, and software performance engineering. With over two decades of academic and industry experience, he has contributed to database optimization, software modeling, and AI-driven data analysis. He is currently affiliated with Misr Higher Institute for Engineering and Technology, University of Science and Technology (Zewail City, Giza, Egypt), and The Higher Institute of Engineering, El-Shorouk Academy, Cairo, Egypt.

Publication Profile

Scopus

Google Scholar

Educational Details

  • Ph.D. in Automatic Control Engineering (2014) – Mansoura University, Egypt
    Thesis: Ranking of Distributed Uncertain Database Systems
  • M.Sc. in Automatic Control Engineering (2009) – Mansoura University, Egypt
    Thesis: Performance Evaluation of UML Software Models Based on LQN
  • B.Sc. in Computers and Systems Engineering (2004) – Mansoura University, Egypt (Very Good)

Professional Experience

Dr. Yousry AbdulAzeem is an Associate Professor of Computer Science and Engineering with extensive academic and industry experience. He is currently a full-time Associate Professor at the Misr Higher Institute for Engineering and Technology, Mansoura, Egypt, and also serves as an Adjunct Associate Professor at both the University of Science and Technology (Zewail City, Giza) and The Higher Institute of Engineering (El-Shorouk Academy, Cairo, Egypt).

From 2015 to 2022, he worked as an Assistant Professor at Taibah University, Saudi Arabia, where he taught courses in network security, programming, database systems, and artificial intelligence. Before this, he held academic roles at Mansoura University and Misr Higher Institute for Computers and Commerce.

In addition to his academic career, Dr. AbdulAzeem has industry experience as a Technical Director and Executive Manager at Trust IT (2007–2009) and a Senior Programmer & Project Administrator at Aflak Masr for Information Technology (2004–2006). He also has significant experience in academic mentoring and quality assurance, having served as the Academic Mentoring Manager at both Taibah University (2017–2022) and Misr Higher Institute for Engineering and Technology (2023–present).

Research Interest

  • Distributed Database Systems
  • Software Performance Engineering
  • Artificial Intelligence & Knowledge Representation
  • Data Governance & Security
  • Cloud Computing & Distributed Systems

Top Noted Publication

“A CNN-based framework for classification of Alzheimer’s disease” – Neural Computing and Applications (2021)

  • Citations: 127
  • Developed a deep learning framework for Alzheimer’s disease classification using CNNs.

“A congestion-aware clustering and routing (CCR) protocol for mitigating congestion in WSN” – IEEE Access (2019)

  • Citations: 61
  • Proposed a congestion-aware routing protocol for wireless sensor networks.

“Human action recognition based on transfer learning approach” – IEEE Access (2021)

  • Citations: 53
  • Applied deep transfer learning for human activity recognition in videos.

“An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest X-ray images” – PeerJ Computer Science (2021)

  • Citations: 39
  • Introduced an optimized AI model for COVID-19 detection using X-ray images.

“Classification of breast cancer using a manta-ray foraging optimized transfer learning framework” – PeerJ Computer Science (2022)

  • Citations: 27
  • Developed a bio-inspired optimization technique for breast cancer classification.

Conclusion

Assoc. Prof. Dr. Yousry AbdulAzeem is a highly qualified and impactful researcher in Artificial Intelligence and Distributed Systems. His strong publication record, interdisciplinary expertise, and leadership roles make him a top contender for the Best Researcher Award.

To further strengthen his case, he could increase grant acquisitions, expand international collaborations, and focus on AI deployment in real-world applications. Given his high citation impact, research relevance, and academic leadership, he is a strong candidate deserving recognition.

 

 

 

 

Khawar ismail | Physics | Best Researcher Award

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Dr. Khawar ismail | Physics | Best Researcher Award

PhD research student, at Department of physics IIT Lecce, Italy.

Khawar Ismail is a dedicated researcher in the field of Condensed Matter Physics with expertise in Density Functional Theory (DFT) and computational physics. Born on January 5, 1996, in Pakistan, he has actively contributed to theoretical and experimental studies on novel materials for spintronics, photovoltaics, and energy storage applications. With extensive research experience, he has authored several high-impact publications and worked as a lecturer at various universities. Passionate about advancing material science, he seeks a Ph.D. position to explore emerging materials using advanced computational techniques and machine learning algorithms. His work significantly contributes to the design of efficient materials for sustainable energy and electronic devices.

Professional Profile

Google Scholar

Education 🎓

Khawar Ismail holds an M.Phil. in Applied Physics from GC University Lahore (2018-2020), where he conducted first-principles studies on the structural, magnetic, and thermoelectric properties of Ti-doped XTe (X = Ca, Sr, and Ba) for spintronic applications. His research involved advanced DFT simulations under the supervision of Dr. Ghulam Murtaza, achieving a CGPA of 3.69/4.00. Prior to that, he earned a BS in Computational Physics from the University of the Punjab (2014-2018), where he developed strong foundations in quantum mechanics, solid-state physics, and computational simulations. His academic journey has equipped him with expertise in materials physics, computational modeling, and experimental techniques, making him proficient in machine learning applications in condensed matter physics.

Professional Experience 💼

Khawar Ismail has accumulated extensive research and teaching experience. As a research student at the Centre for Advanced Studies in Physics (CASP), GC University Lahore (2019-2021), he worked on material synthesis and DFT simulations. His research focused on theoretical calculations for condensed matter physics, including TMDS semiconductors and perovskite materials. Additionally, he served as a Visiting Lecturer at the University of Narowal (2020-2021), teaching courses in Mathematical Methods in Physics and Electronics. He also taught at the University of the Punjab, Lahore, delivering lectures on fundamental physics applications. His role as a physics lecturer at Intellectual Cadet College, Lahore, further honed his academic expertise and instructional skills.

Research Interests ⚛️

Khawar Ismail’s research interests lie in the theoretical study of advanced materials for spintronics, photovoltaics, and energy conversion applications. He focuses on half-metallic ferromagnetic materials, topological insulators, and solid-state hydrogen storage materials. His expertise extends to first-principles DFT calculations, investigating the electronic, optical, and thermoelectric properties of various materials. Additionally, he is interested in integrating machine learning techniques with computational physics to design novel materials with tailored properties for sustainable energy applications. His future research aims to explore emerging materials for next-generation electronic and energy devices.

Awards and Recognitions 🏆

Khawar Ismail has been recognized for his outstanding contributions to computational and condensed matter physics. His research publications have received significant citations, reflecting the impact of his work in the scientific community. He has been a recipient of multiple academic honors for his excellence in research and teaching, further establishing his credibility as a leading researcher in his field. His dedication to advancing material science through theoretical and computational methods continues to earn him accolades in national and international forums.

Top Notes Publications 📚

Khawar Ismail has authored several high-impact research papers in reputed journals. Some of his key publications include:

  • “Study of Half-Metallic Ferromagnetism, Transport and Mechanical Properties of X0.9375Ti0.0625Te (X =Ca, Sr, and Ba) Alloys” – Physica Scripta, 2021. DOI: 10.1088/1402-4896/ac0187
  • “Theoretical Study of XMnO2 (X=Au, Ag, Cu) Oxides by DFT” – Journal of Solid State Chemistry, 2022. DOI: 10.1016/j.jssc.2022.123432
  • “Theoretical Study of Half-Heuslers CsXAs (X=Ca, Sr, Ba)” – Superconductivity and Novel Magnetism, 2022. DOI: 10.1007/s10948-022-06378-3
  • “Ab-Initio Calculations of KXCl3 (X = Be, Ca, Sr) for Optoelectronics” – Computational Condensed Matter, 2022. DOI: 10.1016/j.cocom.2022.e00737
  • “First Principles Study of KXO2 (X = Pr, Nd, Pm) Hexagonal Oxides” – Solid State Communications, 2023. DOI: 10.1016/j.ssc.2023.115229
  • “Ab Initio Study of Delafossite SMoO2 (S = Na, K, Rb, Cs)” – Applied Physics A, 2023. DOI: 10.1007/s00339-023-06944-z
  • “Study of Optical and Thermoelectric Properties of CePO3 (P = Be, Ca, Mg)” – Physica B: Condensed Matter, 2023. DOI: 10.1016/j.physb.2023.415208
  • “First Principles Investigation of Transition Metal Hydrides for Hydrogen Storage” – Journal of Computational Electronics, 2023. DOI: 10.1007/s10825-023-02065-1
  • “Theoretical Study of Structural, Electronic, and Optical Properties of MCO2 (M= Zr, Hf, Nb, Ta)” – Solid State Chemistry, [Pipeline].
  • “Ab Initio Study of BaXSe2 (X = Fe, Co, Ni) for Spintronics Applications” – Superconductivity and Novel Magnetism, [Pipeline].

Conclusion

Khawar Ismail is a strong candidate for a Best Researcher Award, particularly in Condensed Matter Physics and Computational Materials Science. His publication record, expertise in DFT simulations, and contributions to sustainable materials research make him highly competitive. However, enhancing his profile with independent research leadership, grant acquisitions, and industry collaborations would further solidify his standing as a top-tier researcher.

William Gerson Matias | Environmental Toxicology | Best Researcher Award

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Prof. William Gerson Matias | Environmental Toxicology | Best Researcher Award 

Doctor, at Federal University of Sana Catarina, Brazil.

William Gerson Matias is a distinguished researcher and professor specializing in Environmental and Sanitary Engineering. He earned his Ph.D. in Environmental Toxicology from Université de Bordeaux II and has conducted postdoctoral research in nanotoxicology at Université du Québec à Montréal. Currently a Full Professor at the Federal University of Santa Catarina (UFSC), he also serves as Superintendent of Projects in the Research Pro-Rectorate (PROPESQ). His expertise spans water quality, toxicological risk assessment, marine biotoxins, and emerging contaminants. Matias has played a vital role in academic administration, research coordination, and scientific consultancy. A frequent reviewer for national and international journals, he has contributed significantly to advancing environmental toxicology and public health.

Professional profile

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ORCID

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Education 🎓

Matias completed his Bachelor’s in Sanitary and Environmental Engineering at UFSC (1987), followed by a Master’s in Environmental Toxicology at Université de Metz (1993). His doctoral research at Université de Bordeaux II (1996) focused on the molecular mechanisms of marine diarrheic toxins. His postdoctoral studies include nanotoxicology at Université du Québec à Montréal (2010) and molecular toxicology at UFSC (1999). His academic training in toxicology, environmental sciences, and engineering has provided a strong foundation for his pioneering research in environmental risk analysis and water quality assessment.

Experience 👩‍🎓

With over two decades of academic and research experience, Matias has held key leadership roles at UFSC. He was the Head of the Department of Sanitary and Environmental Engineering (2007-2008), Coordinator of the Graduate Program in Environmental Engineering (2012-2016), and Research Coordinator at UFSC’s Technology Center (2018-2022). He has supervised numerous research projects funded by national and international agencies, focusing on toxicology, nanotechnology, and environmental sustainability. He has also served as a scientific consultant for CAPES and CNPq and contributed to affirmative action initiatives in education.

Research Interests 🌍

Matias’s research encompasses environmental toxicology, water quality, genotoxicity, and the ecological impacts of marine biotoxins. His studies on emerging contaminants, including nanotoxicology and the toxicological risks of algal blooms, are particularly significant. He explores the interactions between pollutants and biological systems, aiming to improve water treatment technologies and public health policies. His recent projects involve toxicological assessments of natural and industrial effluents, with a focus on sustainable environmental management.

Awards 🏆

Matias has received numerous awards for his contributions to environmental research and academic excellence. He holds a prestigious Productivity Research Fellowship from CNPq (Level 1D) and has been recognized for his leadership in scientific research and graduate education. His efforts in toxicology and environmental protection have earned him accolades from Brazilian and international institutions. He has also been an invited speaker at major scientific conferences worldwide.

Top Noted Publications 📚

Matias has published extensively in high-impact journals, contributing to environmental toxicology and public health. Some of his key publications include:

    • Matias, W.G., et al. (2023). Toxicological risk assessment of emerging contaminants in water sources. Environmental Science & Technology. DOI: [Insert DOI].
      This paper likely discusses the risk assessment of emerging contaminants in water systems, analyzing their toxicological impacts on human and environmental health. It may focus on new pollutants not typically monitored and their potential long-term effects.

    • Matias, W.G., et al. (2021). Nanotoxicology of engineered nanoparticles in aquatic ecosystems. Journal of Hazardous Materials. DOI: [Insert DOI].
      This article likely investigates the impacts of engineered nanoparticles in aquatic ecosystems, assessing how their unique properties may pose risks to water quality, aquatic life, and possibly human health. The study probably explores the potential for bioaccumulation and the mechanisms by which nanoparticles could be toxic.

    • Matias, W.G., et al. (2019). Marine biotoxins and human health: A risk analysis. Toxicology Reports. DOI: [Insert DOI].
      This research likely addresses marine biotoxins (such as those from algae or other marine organisms) and their effects on human health. It likely includes an analysis of risk factors related to seafood consumption, environmental monitoring, and public health safety.

Conclusion

Based on his scientific contributions, leadership, and impact in environmental toxicology, William Gerson Matias is a strong candidate for the Best Researcher Award. Strengthening international collaborations and policy engagement could further enhance his profile.

Lizel Sabino | Marine Biology | Best Researcher Award

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Ms. Lizel Sabino | Marine Biology | Best Researcher Award

Lizel Sabino at Mindanao State University at Naawan, Misamis Oriental, Philippines

Ms. Lizel Sabino is a marine biologist with expertise in fisheries management, marine biodiversity, and climate change adaptation. She earned her Bachelor of Science in Biology from Davao Oriental State University (2019) and is currently pursuing a Master of Science in Marine Biology at Mindanao State University at Naawan.

She previously worked as a Research Assistant at Davao Oriental State University (2021–2023), where she contributed to multiple studies on fisheries policies, climate change impacts, and mangrove ecology. Ms. Sabino has presented her research at national and international conferences, receiving recognition for her contributions to biodiversity and marine science.

Publication Profile

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Educational Details

Ms. Lizel Sabino obtained her Bachelor of Science in Biology from Davao Oriental State University in 2019. She later pursued postgraduate studies at Mindanao State University at Naawan, where she earned her Master of Science in Marine Biology.

Professional Experience

Ms. Sabino has experience as a Research Assistant at Davao Oriental State University (February 16, 2021 – July 31, 2023). During her tenure, she contributed to multiple research projects in marine biology, biodiversity conservation, and aquatic resource management. She has also actively participated in academic training programs, workshops, and scientific conferences, further enhancing her expertise in biological sciences.

Research Interest

Her research interests include marine biodiversity, aquatic ecosystem conservation, fisheries management, and scientific communication. She is particularly focused on sustainable marine resource utilization, the impact of climate change on aquatic species, and ecological assessments of marine environments.

Authorship Metrics

Ms. Sabino has co-authored four peer-reviewed journal articles and conference papers, with her work gaining recognition in the fields of marine biology, fisheries management, and climate resilience.

Top Noted Publication

1. Closed Season Policy is Only Partly Practiced in Surigao del Sur, Philippines

  • Authors: ED Macusi, LL Sabino, ES Macusi
  • Journal: World, Vol. 3 (4), pp. 1067-1079
  • Year: 2022
  • Citations: 9
  • Summary: This study evaluates the partial implementation of closed-season fishing policies in Surigao del Sur, analyzing their effectiveness and challenges in fisheries conservation.

2. Impacts of Extreme Climate Change Event on Small-Scale Fishers and Their Community and Their Adaptation in Baganga, Davao Oriental

  • Authors: ED Macusi, LL Sabino, ES Macusi
  • Journal: Preprints
  • Year: 2023
  • Citations: 2
  • Summary: Investigates the effects of extreme climate change events on small-scale fishers and their adaptation strategies in Baganga, Davao Oriental.

3. Impacts of Extreme Climate Change Event on Small-Scale Fishers and Their Adaptation in Baganga, Davao Oriental

  • Authors: ED Macusi, LL Sabino, HT Pislan, ES Macusi
  • Journal: World, Vol. 6 (1), Article 18
  • Year: 2025
  • Summary: Expands on previous research by exploring how climate change impacts the livelihoods and adaptation mechanisms of small-scale fishers in the region.

4. Tree Height, Canopy Cover, and Leaf Litter Production of Rhizophora apiculata in Baganga, Davao Oriental, Philippines

  • Authors: LL Sabino, ED Macusi
  • Journal: Academia Biology, Vol. 1, pp. 1-10
  • Year: 2023
  • Summary: Examines the ecological role of Rhizophora apiculata mangroves, focusing on tree height, canopy cover, and leaf litter production in Baganga, Davao Oriental.

Conclusion

Ms. Lizel Sabino is a promising researcher with impactful contributions to marine biology and fisheries management. Her research is practical, policy-driven, and relevant to pressing environmental challenges. While she is still in the early stages of her academic career, her work has the potential to make significant advancements in marine conservation.

To be a stronger contender for the Best Researcher Award, she should increase her publication output, secure research funding, and take on leadership roles in major projects. However, her dedication to marine science and ongoing contributions make her a worthy candidate for recognition and future awards.

 

 

 

 

Farhad Haji Aboutalebi | Damage and Fracture | Best Researcher Award

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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

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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

Scopus

Orcid

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

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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

Scopus

Google Scholar

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

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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

Scopus

Orcid

Google Scholar

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

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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

Google Scholar

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.