Tag: Best Researcher Award

Hamdy Abdelsalam Elgohary, Engineering, Best Researcher Award

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Professor Hamdy Abdelsalam Elgohary: Professor at Mansoura University, Egypt

 

Prof. Hamdy A. El-Gohary is a renowned Professor of Reinforced Concrete Structures with over 36 years of comprehensive experience in research, teaching, and professional consulting in structural engineering. He earned his Ph.D. from Moscow Institute of Municipal Economy and Construction in 1992 and has since established a strong academic and professional reputation through numerous international publications, conference presentations, and authored books. His expertise lies in reinforced concrete design, seismic behavior of structures, and advanced analytical methods. He has supervised many M.Sc. and Ph.D. students, contributing significantly to the development of structural engineering knowledge worldwide.

Online Profiles

ORCID Profile

Prof. El-Gohary maintains an active presence on academic platforms such as ResearchGate and Google Scholar, where his extensive research output is accessible to the global engineering community. He regularly participates in international conferences and workshops, sharing insights on seismic design and structural dynamics. His profiles highlight collaborations with researchers across Europe, the Middle East, and Russia, reflecting a robust network of scholarly and industry connections.

Education

Prof. El-Gohary completed his Ph.D. in Structural Engineering at Moscow Institute of Municipal Economy and Construction, Soviet Union, in 1992, specializing in building construction and structures. He holds a Master of Science degree in Structural Engineering from Mansoura University (1987) and a Bachelor of Science in Civil Engineering from the same institution (1982). This solid academic foundation has enabled him to integrate theoretical concepts with practical engineering applications throughout his career.

Research Focus

His research centers on the behavior and design of reinforced concrete structures subjected to seismic and lateral loads, with a focus on improving earthquake resistance and structural stability. Key areas include nonlinear stability analysis of beam-columns, dynamic response of precast and coupled shear wall systems, and empirical modeling for vibration periods and crack width control. He also investigates advanced bracing systems, slender column design, and the use of modern codes such as ACI and Saudi Building Code for optimized structural performance.

Experience

With a distinguished academic career at Umm Al-Qura University and Mansoura University, Prof. El-Gohary has been deeply involved in teaching, research, and administration. His professional experience extends to leading structural design projects at Qatar Foundation and heading consulting engineering groups. He founded the Structural Consulting and Design Center in Egypt, providing expertise to engineering firms and overseeing complex infrastructure projects, bridging the gap between academia and industry.

Research Timeline

Prof. El-Gohary began his research journey in the late 1980s, focusing on experimental and theoretical studies of precast frames and seismic response. Throughout the 1990s, he expanded his work to seismic regulation reviews and dynamic analysis of multistory frames. The 2000s saw a shift toward nonlinear analysis, bracing systems, and column behavior under eccentric compression. His recent research since 2010 has emphasized empirical formula development, crack width prediction, and structural optimization compliant with international codes, culminating in influential papers and books up to 2023.

Awards & Honors

Throughout his career, Prof. El-Gohary has been honored with multiple “Who’s Who” awards recognizing his outstanding contributions to structural engineering education and research. He is a respected member of editorial boards for several journals and a frequent peer reviewer for international conferences and publications. These accolades reflect his standing as a leading expert in earthquake-resistant design and reinforced concrete structures.

Top-Noted Publication

One of Prof. El-Gohary’s most impactful publications is “Empirical Formula for the Fundamental Period of Vibration of Multi-story RC Framed Buildings,” presented at the 2013 Vienna Congress on Recent Advances in Earthquake Engineering and Structural Dynamics. This work has significantly influenced seismic design methodologies by providing practical, validated equations for structural vibration periods, aiding engineers worldwide in improving building safety and code compliance.

A Simplified Trilinear Concrete Stress–Strain Curve: Energy-Based Modeling of Experimental Data Compliant with Various Codes

Journal of Umm Al-Qura University for Engineering and Architecture
2025-06 | Journal Article
DOI: 10.1007/s43995-025-00117-0
In this article, Prof. El-Gohary proposes a simplified trilinear stress–strain curve for concrete, developed using an energy-based modeling approach. The model is grounded on experimental data and complies with various international concrete codes. This work aims to offer more accurate predictions of concrete behavior under stress, enhancing the design and safety of structural elements.

Evaluation of the Dynamic Characteristics of Coupled Shear Wall System under Seismic Loads

Engineering, Technology & Applied Science Research (ETASR)
2025-06-01 | Journal Article
Contributors: Hamdy A. Elgohary, Hytham Alhunami, Rabeea W. Bazuhair
This study evaluates the dynamic behavior of coupled shear wall systems subjected to seismic forces. It presents a comprehensive analysis of the system’s response, incorporating conceptualization, formal analysis, and detailed investigations. The article explores the system’s structural resilience under varying seismic conditions and offers insights into improving design practices for earthquake-resistant buildings.

Refined Nonlinear Estimation of Effective Flexural Rigidity in Reinforced Concrete Beams Using Curvature Integration

Engineering, Technology & Applied Science Research (ETASR)
2025-04 | Journal Article
Prof. El-Gohary introduces a refined approach to estimating the effective flexural rigidity of reinforced concrete beams, utilizing curvature integration. This nonlinear method provides a more accurate representation of beam behavior under loading, offering a valuable tool for structural engineers designing reinforced concrete beams subjected to complex bending moments.

Refined Span-to-Depth Ratio Expressions for One-Way Slabs Aligned with ACI-318 Deflection Limits

Journal of Umm Al-Qura University for Engineering and Architecture
2025-03-07 | Journal Article
In this paper, Prof. El-Gohary presents refined expressions for the span-to-depth ratio of one-way slabs, ensuring alignment with ACI-318 deflection limits. The study focuses on improving design parameters for reinforced concrete slabs, ensuring compliance with deflection criteria while optimizing structural efficiency and safety.

Punching Shear Revised Equations for Edge Column-Slab Joints Complying with Different Current Codes

Innovative Infrastructure Solutions
2025-02-11 | Journal Article
DOI: 10.1007/s41062-024-01822-w
Contributors: Hamdy A. Elgohary, Mohamed A. El Zareef
This article revises existing equations for evaluating punching shear at edge column-slab joints. By considering compliance with multiple modern design codes, the study enhances the reliability of current methods for predicting punching shear behavior and improving structural safety in reinforced concrete buildings.

Nazzareno Cannella, Pharmacology, Best Researcher Award

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Professor Nazzareno Cannella: Associate Professor at University of Camerino, Italy

Dr. Nazzareno Cannella is an accomplished Associate Professor of Pharmacology at the University of Camerino, Italy, with a strong focus on neuropsychopharmacology. Over the years, his research has explored the neurobiology of motivated behaviors and reward systems, particularly in relation to substance use disorders (SUD) involving alcohol, psychostimulants, nicotine, and opioids. Dr. Cannella’s work also addresses the co-occurrence of psychiatric disorders such as anxiety, PTSD, and depression, which often co-appear with SUDs. His multifaceted research integrates a variety of cutting-edge techniques, including in-vivo behavioral models, pharmacology, neuroimaging (MRI, PET), and genetic manipulation. He seeks to advance personalized and translational medicine in addiction research by exploring individualized treatment responses and the identification of biomarkers for SUDs.

Online Profiles

Dr. Cannella maintains an extensive academic presence online. His work can be found in various scientific databases and repositories:

  • Scopus Author ID: 24079967600

  • ORCID: 0000-0002-2891-8679
    His complete list of over 60 publications, which includes groundbreaking studies in addiction research, is accessible on his NCBI Bibliography. This includes his collaborative work on preclinical models and his exploration of neurobiological mechanisms underlying addiction.

  • 1,483 Citations from 1,086 Documents

  • 62 Documents published

  • h-index of 23

Education

Dr. Cannella’s academic journey began with a Master of Science in Biology from the University of Camerino in 2005. He then pursued his PhD in Neuropsychopharmacology at the same institution, earning his degree in 2009. His dissertation, under the supervision of Dr. Roberto Ciccocioppo, focused on the neurobiology of addiction and pharmacological interventions. To expand his expertise, he spent a year as a visiting scholar at Stanford University School of Medicine, where he worked with Dr. Luis de Lecea. Dr. Cannella then honed his research skills through postdoctoral fellowships at leading European institutions, including the Central Institute of Mental Health in Mannheim, Germany, and the Neurocentre Magendie in Bordeaux, France.

Research Focus

Dr. Cannella’s research focuses on the neurobiological underpinnings of substance use disorders (SUD) and their psychiatric comorbidities. His primary interest lies in understanding the reward circuitry in the brain, which plays a crucial role in addiction and motivated behaviors. He is especially concerned with how these systems interact with mental health conditions like anxiety, depression, and impulsivity. In addition to the basic neurobiology of addiction, his work spans treatment development, personalized medicine, and translational medicine, aiming to design more effective therapies for addiction. Dr. Cannella also investigates individual variability in response to treatment, with a goal of improving the precision of addiction therapies. His research integrates advanced techniques such as behavioral rodent models, neuroimaging, pharmacological interventions, and molecular biology.

Experience

Dr. Cannella has held various academic positions throughout his career, contributing significantly to the fields of pharmacology and neuropsychopharmacology. He is currently an Associate Professor of Pharmacology at the University of Camerino, a position he has held since 2023. Prior to this, he served as an Assistant Professor from 2020 to 2022. His long-standing association with the Central Institute of Mental Health in Mannheim, Germany, as a Guest Scientist since 2017 has allowed him to collaborate on numerous international research projects. Dr. Cannella also gained valuable experience as a Research Assistant Professor and Research Associate at the University of Camerino, Italy, where he has played a pivotal role in advancing both the academic and research profiles of the institution. His work has consistently been supported by various competitive research grants, allowing him to lead multiple interdisciplinary teams working on addiction-related projects.

Research Timeline

Dr. Cannella’s research timeline begins with his PhD in 2009, where his foundational work on the neurobiology of addiction set the stage for his future studies. From 2010 to 2016, he honed his skills through postdoctoral training in Germany and France, focusing on neuropharmacology and behavioral neuroscience. In 2016, he became a Research Associate at the University of Camerino, where he soon expanded his research interests to explore individualized vulnerability to addiction. His significant work on SUD biomarkers, genetic vulnerability, and personalized medicine began to take shape during his tenure as a Research Assistant Professor from 2019 to 2020. In 2023, he advanced to the role of Associate Professor, where his research is now funded by prestigious grants such as the NIH/NIAAA and the Hetzler Foundation, ensuring that his work on addiction continues to be at the forefront of scientific discovery.

Awards & Honors

Dr. Cannella has received various awards and honors throughout his career, including multiple competitive research grants and recognition from leading scientific societies. He is an active member of prestigious organizations such as the Italian Society of Neuroscience, the Federation of European Neuroscience Societies, and the European Behavioral Pharmacology Society. His research has been frequently cited and recommended by expert panels, including F1000 and NIDA’s Blog. Additionally, his work on personalized medicine and addiction has garnered attention in both academic and clinical settings, making him a leading figure in addiction research.

Top-Noted Publication

Dr. Cannella’s top-noted publication is a 2024 study in Neuropharmacology on Cebranopadol, a novel opioid agonist. This study demonstrated Cebranopadol’s potential in treating opioid use disorder with a low risk of abuse, a significant advancement in the search for safer alternatives to traditional opioid therapies. The paper, titled “Cebranopadol, a novel long-acting opioid agonist with low abuse liability, to treat opioid use disorder: Preclinical evidence of efficacy”, highlights Dr. Cannella’s commitment to developing effective, less harmful treatments for addiction. His work on the molecular mechanisms underlying addiction continues to influence drug development strategies for a range of substance use disorders.

  • Predicting individual treatment response in alcohol use disorders: a reverse translational proof-of-concept study
    Translational Psychiatry | Published: June 24, 2025
    DOI: 10.1038/s41398-025-03431-2
    This study explores the reverse translational approach to predicting personalized treatment responses in alcohol use disorder (AUD), offering valuable insights into the future of individualized treatments for addiction.

  • Genome-wide association study reveals multiple loci for nociception and opioid consumption behaviors associated with heroin vulnerability in outbred rats
    Molecular Psychiatry | Published: February 25, 2025
    DOI: 10.1038/s41380-025-02922-4
    This research identifies genetic loci related to nociception and opioid consumption behaviors, contributing to our understanding of heroin addiction and individual vulnerability.

  • Pharmacological Mechanism and Drug Research Prospects of Ginsenoside Rb1 as an Antidepressant
    Antioxidants (Basel, Switzerland) | Published: February 19, 2025
    DOI: 10.3390/antiox14020238
    This article reviews the pharmacological properties of Ginsenoside Rb1, examining its potential as an antidepressant, with a focus on its therapeutic prospects in neuropsychiatric disorders.

  • Distinct Behavioral Profiles and Neuronal Correlates of Heroin Vulnerability Versus Resiliency in a Multi-Symptomatic Model of Heroin Use Disorder in Rats
    The American Journal of Psychiatry | Published: January 15, 2025
    DOI: 10.1176/appi.ajp.20230623
    This study distinguishes between behavioral and neuronal correlates of vulnerability versus resiliency in heroin use disorder, providing critical insights into potential therapeutic strategies.

  • Cebranopadol, a novel long-acting opioid agonist with low abuse liability, to treat opioid use disorder: Preclinical evidence of efficacy
    Neuropharmacology | Published: October 2024
    DOI: 10.1016/j.neuropharm.2024.110048
    This publication presents preclinical evidence for the efficacy of Cebranopadol, a novel opioid agonist with a promising profile for treating opioid use disorder without significant abuse liability.

Suhail Ahmad, Chemistry, Best Researcher Award

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Doctorate Suhail Ahmad: Research Scholar at Maulana Azad National Urdu University (MANUU)-Hyderabad, India

Suhail Ahmad is a Research Scholar pursuing a Ph.D. in Organic Chemistry at Maulana Azad National Urdu University. With an academic focus on the synthesis of novel heterocyclic compounds, his research explores their photophysical properties and biological activities. Suhail is particularly interested in designing and developing efficient chemosensors for metal ion detection, a vital aspect of environmental monitoring and biological sensing. He has authored multiple high-impact papers and presented his work at several international conferences. Passionate about sustainable chemical science, Suhail aims to bridge the gap between fundamental research and practical applications in chemical sensing.

Online Profiles

Scopus Profile

LinkedIn: Suhail Ahmad LinkedIn
A comprehensive professional network for collaboration and showcasing research expertise.

Citations & Research Impact

  • Total Citations: 122

  • Cited by: 99 documents

  • h-index: 6

Education

  • Ph.D. in Chemistry (Expected: February 2026)
    Maulana Azad National Urdu University
    Suhail’s doctoral research focuses on Organic Chemistry, with a particular emphasis on heterocyclic compounds. His work incorporates innovative methods of one-pot synthesis, photophysical investigation, and evaluation of biological activity. He has excelled in various coursework related to advanced chemical synthesis, spectroscopy, and material science, preparing him for his ongoing research contributions.

  • Master of Science in Chemistry (2018)
    University Name
    A comprehensive program focused on organic and inorganic chemistry with a thesis on reaction mechanisms in organic synthesis.

Research Focus

Suhail’s current research aims to develop novel, highly sensitive fluorescent chemosensors for the detection of metal ions such as Fe³⁺, Cu²⁺, Hg²⁺, and Zn²⁺. Using techniques like one-pot synthesis, multi-step synthesis, and ultrasound-assisted methods, he has contributed to the development of sensors with enhanced selectivity and sensitivity. His work combines organic synthesis with photophysical and biological testing to provide new tools for environmental monitoring, toxicology, and healthcare applications. Additionally, Suhail’s research investigates the potential biological activities of the compounds, such as antimicrobial, antioxidant, and anticancer effects, which could have implications for drug development.

Research Experience

Suhail Ahmad is currently involved in cutting-edge research on the design and synthesis of novel fluorescent chemosensors. As a Research Scholar at Maulana Azad National Urdu University, he has applied various techniques to synthesize and characterize organic compounds with targeted photophysical properties. His projects focus on the one-pot synthesis of heterocyclic compounds, which are then characterized using advanced spectroscopic methods like UV-Vis, fluorescence spectroscopy, and NMR. Over the years, he has collaborated with researchers across multiple disciplines, contributed to multiple published papers, and presented his findings at numerous national and international conferences. His work bridges the gap between synthetic chemistry and real-world applications in environmental monitoring, sensing, and bio-imaging.

Research Timeline

  • 2023: Conducted detailed studies on the synthesis and photophysical properties of benzothiazole-pyrazoline-based sensors for detecting Fe³⁺ ions. Published initial findings in leading journals and presented them at national and international conferences.

  • 2024: Expanded research into the application of thiadiazole derivatives in environmental and biological sensing. Focused on the development of highly selective chemosensors for multiple metal ions, including Cu²⁺ and Hg²⁺. Contributed chapters to the book on Green Carbon Dots published by the American Chemical Society.

  • 2025: Progressed to multi-step synthesis and biological evaluation of triazole-based compounds with photo-responsive properties for ion detection. Expected to complete Ph.D. dissertation in February 2026, covering key findings from his extensive research on sensor design and its biological applications.

Awards & Honors

  • Best Paper Award at the International Conference on “Innovation in Chemical Science for Sustainable Development” (2025) for outstanding research contributions in chemical sensing.

  • Young Researcher Award from the National Conference on Advances in Chemical and Biological Sciences (2023) for excellence in emerging research in chemical sciences.

  • ACS Leadership Scholarship (2022) awarded for leadership potential and academic excellence in chemistry.

  • Excellence in Research Award at Maulana Azad National Urdu University (2024) for the innovative approach in synthesizing novel chemosensors.

Top-Noted Publications

  1. “A Review on Recent Progress in Synthesis and Biological Activities of Thiadiazole and its Derivatives”
    Journal of Molecular Structure, 2024
    This review paper presents a comprehensive overview of the synthesis strategies and biological properties of thiadiazole derivatives, discussing their potential applications in drug discovery and environmental sensing.

  2. “Photophysical Investigation of One-Pot Synthesized Novel Indenofluorene Derivative (BDP) as a Fluorescent Chemosensor for Fe³⁺ Ion Detection”
    Journal of Fluorescence, 2024
    The research focuses on a novel chemosensor for Fe³⁺ ions synthesized using a one-pot approach, highlighting its application in aqueous media for environmental monitoring.

  3. “Multi-step Synthesis and Photophysical Investigation of Benzothiazole-Pyrazoline Based Fluorescent Chemosensor for Fe³⁺ Ion Detection”
    Journal of Molecular Structure, 2025
    This paper details the synthesis of a benzothiazole-pyrazoline derivative, a selective “turn-off” fluorescent chemosensor for detecting Fe³⁺ ions in aqueous solutions.

  4. “A Comprehensive Review on Recent Advances of Remarkable Scaffold Triazole-based Schiff Base: Synthesis and Photoresponsive Chemosensors for Al³⁺ Ion Detection”
    Journal of Fluorescence, 2025
    This extensive review examines the synthesis of triazole-based Schiff base compounds and their potential as photoresponsive chemosensors, focusing on their application in detecting Al³⁺ ions.

Gorachand Chakraborty, Mathematics, Best Researcher Award

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Dr. Gorachand Chakraborty: Assistant Professor at Sidho-Kanho-Birsha University, India

Dr. Gorachand Chakraborty is a dedicated mathematician and an Assistant Professor in the Department of Mathematics at Sidho-Kanho-Birsha University, Purulia, West Bengal, India. With a passion for research in complex dynamics and related fields, he has contributed significantly to the understanding of transcendental functions, meromorphic functions, and fractal geometry. Dr. Chakraborty holds a Ph.D. in Mathematics from The University of Kalyani, and his academic pursuits are complemented by a strong teaching career, mentoring both undergraduate and postgraduate students.

Online Profiles

Scopus Profile

Citations: 20 citations from 11 documents
h-index: 3 (as per Scopus)

Education

Dr. Chakraborty’s academic journey began with his M.P. from the West Bengal Board of Secondary Education in 2005, followed by H.S. from WBCHSE in 2007. He then pursued a B.Sc. in Mathematics Honours from J.K. College, Purulia, under Burdwan University, where he developed a deep interest in mathematics. His pursuit of higher education took him to IIT Guwahati, where he obtained his M.Sc. in Mathematics and Computing in 2012. Finally, he earned his Ph.D. in Mathematics from The University of Kalyani in 2021, completing a rigorous dissertation in the areas of complex dynamics and value distribution theory.

Research Focus

Dr. Chakraborty’s research interests revolve around Complex Dynamics, Value Distribution Theory, Fractal Geometry, and Functional Analysis. He has specifically focused on the dynamics of transcendental entire and meromorphic functions, contributing to the understanding of Herman rings, Fatou and Julia sets, and the dynamics of singular values. His work intersects several important mathematical areas and aims to develop a unified theory that connects complex dynamics with value distribution theory and fractals.

Experience

Dr. Chakraborty’s teaching career spans more than a decade, beginning in 2013 as a lecturer at Rajiv Gandhi University of Knowledge Technologies, Hyderabad, where he was involved in early undergraduate teaching. He moved on to serve as an Assistant Professor at Jhargram Raj College (2015), Govt. General Degree College at Manbazar II (2015–2019), and Sidho-Kanho-Birsha University (2019–present), where he continues to teach both undergraduate and postgraduate courses. In addition to his teaching, he has supervised several research scholars and has actively contributed to the academic development of his institution.

Research Timeline

Dr. Chakraborty’s research career has evolved through several key milestones, starting with his early exploration of complex dynamics during his Ph.D. at The University of Kalyani. His doctoral work laid the foundation for subsequent contributions to Herman rings and Baker omitted values. Over the years, he has worked on a variety of projects, such as understanding dynamical systems of transcendental meromorphic functions and investigating the growth properties of solutions to complex linear differential-difference equations. His current research is centered on the Fatou and Julia sets of transcendental functions, supported by a significant grant from the National Board for Higher Mathematics (NBHM).

Awards & Honors

Dr. Chakraborty has been recognized with several awards and honors for his academic excellence. Notably, he received the Best Paper Presentation Award at the 42nd Annual Conference of Orissa Mathematical Society (2015) for his presentation on Baker Omitted Values. He was also awarded for his research contributions in several conferences and workshops. His recognition spans across both national and international platforms, establishing him as a respected figure in the field of mathematics.

Top-Noted Publications

Dr. Chakraborty has published numerous papers in high-impact journals, contributing to the global discourse on complex dynamics and meromorphic functions. Notable publications include:

  1. “Baker Omitted Value, Complex Variables and Elliptic Equations” (2016) – A significant paper published in the SCIE-indexed journal, with an impact factor of 0.846, exploring Baker’s omitted values in complex dynamics. Link

  2. “Herman Rings with Small Periods and Omitted Values”, Acta Mathematica Scientia (2018) – This paper examines the dynamical aspects of transcendental meromorphic functions. Link

  3. “Configurations of Herman Rings in the Complex Plane”, Indian Journal of Mathematics (2021) – An in-depth study of the geometric and dynamical configurations of Herman rings. Link

  4. “On the Level of Qe(f) in Quite Fast Escaping Set and Spider’s Web”, Annali di Matematica Pura ed Applicata (2023) – A paper on transcendental semigroups with applications to complex dynamical systems. Link

Atulkumar Manchalwar, Engineering, Best Researcher Award

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Doctorate Atulkumar Manchalwa: Assistant Professor at AISSMS College of Engineering Pune, India

Dr. Atulkumar Anil Manchalwar is a Structural Engineering expert with a primary focus on seismic hazard assessment and earthquake response control of buildings. With a Ph.D. from Visvesvaraya National Institute of Technology (VNIT), Nagpur, he has dedicated his career to enhancing the seismic resilience of reinforced concrete structures. He has a reputation for his innovative work on performance-based seismic analysis, optimization of metallic dampers, and the design of base isolation systems. Dr. Manchalwar is committed to exploring new frontiers in earthquake engineering and mentoring the next generation of engineers.

Online Profiles

  • Scopus Profile
    Access Dr. Manchalwar’s research output, citations, and co-authors through his comprehensive Scopus profile.

  • Google Scholar Profile
    View Dr. Manchalwar’s Google Scholar profile to explore his top-cited papers and academic contributions.

  • Research Impact Metrics

    • Citations by Documents: Dr. Manchalwar’s 47 documents have been cited 70 times, indicating a strong influence in his field of study.

    • h-index: An h-index of 5 means that Dr. Manchalwar has 5 papers each with at least 5 citations, reflecting a consistent academic contribution to seismic engineering and structural dynamics.

Education

Dr. Manchalwar’s educational journey began with a Bachelor’s degree in Civil Engineering from Babasaheb Naik College of Engineering, Pusad, where he graduated in 2010 with a solid academic record (70.38%). He pursued his Master’s in Structural Engineering at Kavikulguru Institute of Technology and Science, Ramtek, where he was awarded the 5th rank in his university. His academic excellence culminated in a Ph.D. at VNIT Nagpur, where his research focused on seismic response control of buildings using supplementary devices. His doctoral studies were supervised by renowned experts, and his work continues to shape the future of structural engineering.

Research Focus

Dr. Manchalwar’s research spans multiple domains within Structural Engineering, with a primary emphasis on seismic hazard assessment, earthquake response control, and vulnerability analysis of RC structures. His pioneering work includes optimizing seismic response through devices like metallic dampers, base isolation techniques, and soil-structure interaction models. Additionally, he investigates how structural dynamics can be leveraged to mitigate damage in buildings during seismic and blast events. His research continues to influence the design of more resilient infrastructures, particularly in seismic zones.

Experience

Dr. Manchalwar has an extensive academic career spanning over a decade. He currently serves as a faculty member at AISSMS College of Engineering, Pune. He has previously taught at institutions such as Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, and G H Raisoni College of Engineering, Nagpur. His academic roles involve teaching core subjects like Earthquake Engineering, Structural Dynamics, and Prestressed Concrete Structures at both undergraduate and postgraduate levels. In addition to teaching, he has held multiple administrative roles, including NAAC and NBA accreditation coordination and as the IIC Department Coordinator. He is also involved in organizing hackathons, technical events, and innovation activities within his academic community.

Research Timeline

  • 2013-2019: Ph.D. Research (VNIT Nagpur):
    Dr. Manchalwar’s doctoral research concentrated on seismic response control using supplementary damping devices such as metallic dampers and isolators. His work utilized advanced structural analysis tools like SAP2000 and MATLAB to model and simulate the effects of different damping strategies on the performance of RC buildings under seismic loads.

  • 2019-Present: Post-Ph.D. Research:
    After completing his Ph.D., Dr. Manchalwar continued exploring the dynamic behavior of buildings, focusing on response control under both seismic and blast loading conditions. His ongoing projects investigate the efficacy of hybrid damping systems, base isolation systems, and the optimization of structural elements to reduce vulnerability to natural and man-made forces.

Awards & Honors

Dr. Manchalwar’s academic and research accomplishments have been widely recognized. Some of his most notable awards include:

  • Dr. Jai Krishna Prize by The Institution of Engineers (India) for exceptional academic performance in his field.

  • Top Performing Mentor award from NPTEL for his contributions to online teaching and mentoring of students in Civil Engineering.

  • University ranks during his academic tenure: 5th rank in M.Tech and several top placements in undergraduate competitions.

Top-Noted Publication

Dr. Manchalwar has authored and co-authored numerous influential publications in top-tier journals and conferences. Some of his most significant works include:

  1. “Performance of RC Structures Equipped with Steel and Aluminium X-Plate Dampers” – Journal of Institute of Engineers India Series A, 2016. This paper analyzes the effectiveness of different damper materials in enhancing the seismic performance of RC structures.

  2. “Seismic Response Control of Building with Optimal Location of Metallic Damper” – Structures and Buildings, 2019. In this paper, Dr. Manchalwar introduces methods for optimizing damper placement to maximize seismic performance.

  3. “Seismic Performance of Structure with Isolated Foundation Using U-shape Steel Damper as an Isolator” – Soil Mechanics & Foundation Engineering, 2020. This work focuses on improving building resilience by utilizing advanced isolation techniques.

  4. “Vibration Control of Structure Using Inelastic Tuned Mass Damper” – Asian Journal of Civil Engineering, 2024 (Accepted). A cutting-edge study on the application of inelastic tuned mass dampers to control structural vibrations.

His work has been published in leading SCI and Scopus-indexed journals, contributing valuable insights to the field of earthquake engineering.

Research Impact & Innovations

Beyond publications, Dr. Manchalwar has significantly impacted the industry with his innovative approaches. His patent on “Water Distribution Apparatus with Inbuilt Flow Rate Control Mechanism” (2024), and others focusing on plant monitoring and railway wagon load monitoring, illustrate his commitment to practical applications of engineering solutions. His innovations are aimed at improving the efficiency, safety, and sustainability of structural and civil engineering systems.

Dharmendar Reddy Yanala, Mathematics, Best Researcher Award

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Professor Dharmendar Reddy Yanala: PROFESSOR at ANURAG UNIVERSITY, India

Dr. Yanala Dharmendar Reddy is an accomplished academician and researcher with over 20 years of experience in the field of Applied Mathematics. Currently serving as a Professor in the Department of Mathematics at Anurag University, Hyderabad, he has dedicated his career to the study of Fluid Dynamics, specifically in Magnetohydrodynamics (MHD) and nanofluid heat transfer. His research interests include MHD boundary layers, heat and mass transfer, and the impact of nanoparticles on fluid dynamics. Dr. Reddy is known for his ability to blend theoretical models with numerical techniques to solve complex problems in the realms of geophysics, astrophysics, and industrial applications. His work is not only significant for academia but also for practical applications in energy systems, environmental engineering, and medical technologies. His passion for education and research is matched by his commitment to fostering the next generation of mathematicians and engineers.

Online Profiles

  • Google Scholar: Yanala Dharmendar Reddy – A platform for accessing Dr. Reddy’s scholarly articles and citations.

  • Scopus ID: 57202329139 – Tracking all of Dr. Reddy’s research contributions on Scopus, a global database for academic research.

  • ORCID: 0000-0002-8926-7259 – Ensuring that Dr. Reddy’s research activities are uniquely identified and linked to his academic and professional work.

  • WOS Researcher ID: B-7614-2018 – A profile on Web of Science, further validating Dr. Reddy’s research output and professional standing.

  • Citations & Research Impact

    • Total Citations: 2276

    • h-index: 27

    • i10-index: 54

    These metrics indicate Dr. Reddy’s significant impact on the academic community, with a well-established record of influential publications. His h-index of 27 reflects a consistent contribution to high-quality research, with at least 27 publications that have each been cited 27 or more times. Additionally, an i10-index of 54 highlights his ability to produce scholarly works that have been widely referenced and utilized in ongoing research, further cementing his reputation as a key figure in his field.

Education

Dr. Reddy completed his Ph.D. in Applied Mathematics at Osmania University, Hyderabad, in 2017. His doctoral research focused on the numerical techniques used to study the MHD boundary layer flow of nanofluids over stretching sheets, a topic with profound implications for industrial heat transfer and energy systems. Prior to this, he earned his M.Sc. in Mathematics with distinction from Osmania University (2005) and a B.Sc. in Computer Science (2003), demonstrating early aptitude in both theoretical and computational aspects of mathematics. His academic journey reflects a solid grounding in both pure and applied mathematics, which laid the foundation for his later research endeavors.

Research Focus

Dr. Reddy’s research explores complex fluid dynamics problems, specifically focusing on Magnetohydrodynamics (MHD) and the heat and mass transfer of nanofluids. MHD flow has applications in various fields, such as power generation, astrophysics, and environmental systems. His interest in nanofluids stems from the growing need to enhance heat transfer in industrial and technological applications. Nanofluids are a class of fluids that contain nanoparticles, which significantly improve the thermal properties of base fluids. By studying the interaction between magnetic fields, fluid flow, and nanoparticle behavior, Dr. Reddy aims to propose solutions to challenges in energy efficiency, industrial heat exchangers, and even medical applications like hyperthermia treatment. His work has resulted in both theoretical advancements and practical applications, benefiting a wide range of industries.

Experience

Dr. Reddy’s academic career spans two decades, with significant contributions to teaching, research, and academic administration. He has been a Professor in the Department of Mathematics at Anurag University since December 2024. Previously, he served as an Associate Professor (2020-2024) and Assistant Professor (2005-2020) at Anurag Group of Institutions, where he helped shape the curriculum and research landscape in applied mathematics. Throughout his career, Dr. Reddy has mentored countless undergraduate, postgraduate, and doctoral students. His leadership roles also include serving as the Additional Controller of Examinations at Anurag Group from 2012 to 2017, where he managed examination procedures, ensuring fairness and transparency. Dr. Reddy is dedicated to fostering a research-driven environment in his academic roles, encouraging collaboration and innovation among his students and colleagues.

Research Timeline

  • 2014-2016: Dr. Reddy completed a UGC-sponsored Minor Research Project on the “Impact of Flow Parameters on Heat and Mass Transfer” using numerical techniques. This project laid the groundwork for his future work on MHD flows and nanofluids.

  • 2017-2020: Focused on MHD nanofluid flow, leading to multiple publications on heat transfer enhancement in industrial and biological systems.

  • 2020-Present: Expanded his research to include chemical reactions, radiation effects, and their influence on nanofluid flow. His current projects involve exploring novel fluid systems for applications in energy systems and medical technologies, which continue to garner significant academic and industrial interest.

Awards & Honors

Dr. Reddy’s contributions to academia have been widely recognized. In 2024, he was listed among the Top 2% Scientists Worldwide, an accolade co-published by Elsevier and Stanford University, placing him in an elite group of researchers globally. Additionally, he received the Best Teacher Award from AQER in 2024 for his excellence in teaching and his innovative contributions to the field of mathematics. His involvement in academic organizations includes life memberships in the Indian Science Congress Association and the Andhra Pradesh Society for Mathematical Sciences, where he plays an active role in promoting mathematics research in India. These awards and recognitions underscore his dedication to both research and teaching.

Top-Noted Publication

  1. Chemical reaction and Soret impacts on MHD heat and mass transfer Casson hybrid nanofluid (MoS2+ZnO) flow based on engine oil across a stretching sheet with radiation
    Journal: Chemical Thermodynamics and Thermal Analysis (2025)
    DOI: 10.1016/j.ctta.2025.100163
    Contributors: Radhika, M.; Dharmendar Reddy, Y.

  2. Impact of thermal radiation and viscous dissipation on MHD heat transmission MoS2 and ZnO/engine oil hybrid nanofluid flow along a stretching porous surface
    Journal: Multiscale and Multidisciplinary Modeling, Experiments and Design (2025)
    DOI: 10.1007/s41939-024-00589-y
    Contributors: Mangamma, I.; Reddy, Y.D.

  3. Numerical solutions of steady radiative Maxwell-nanofluid flow toward a stretching sheet in the presence of magnetic field and porous medium
    Journal: Modern Physics Letters B (2025)
    DOI: 10.1142/S0217984924504323
    Contributors: Babu, P.R.; Kumar, M.A.; Raju, R.S.; Reddy, Y.D.

  4. Viscous dissipation and radiation effects on MHD heat transfer copper-water nanofluid flow over an exponentially shrinking surface
    Journal: Multiscale and Multidisciplinary Modeling, Experiments and Design (2025)
    DOI: 10.1007/s41939-024-00708-9
    Contributors: Radhika, M.; Reddy, Y.D.

  5. A numerical study on MHD Maxwell fluid with nanoparticles over a stretching surface: Impacts of thermal radiation, convective boundary condition and induced magnetic field
    Journal: Numerical Heat Transfer, Part A: Applications (2024)
    DOI: 10.1080/10407782.2024.2338259
    Contributors: Venkatesh, N.; Raju, R.S.; Anil Kumar, M.; Dharmendar Reddy, Y.

Shiting Wen, Computer Science, Best Researcher Award

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Professor Shiting Wen: Professor at School of Computer and Data Engineering, NingboTech University, China

Professor Shiting Wen is an esteemed faculty member at the School of Computer and Data Engineering at NingboTech University, China. His academic journey has seen him achieve high levels of recognition in the field of Computer Science, where he specializes in Big Data Processing, the Internet of Things (IoT), and Artificial Intelligence (AI). With a BSEng in Computer Science from Northeast Forest University and a Ph.D. from both the University of Science and Technology of China (USTC) and City University of Hong Kong (CityU), Prof. Wen has made extensive contributions to various high-impact research areas. He has published over 60 research papers in top-tier journals and conferences such as ICML, ICDE, Inf. Sci., and TITS, cementing his position as a leading academic in his field. Prof. Wen also has a strong presence in academic governance, serving as a Program Committee (PC) member for various international conferences and contributing as an editor for well-regarded journals. His research has garnered international recognition for advancing technologies in AI and IoT, shaping the future of data science and telecommunications.

Online Profiles

ORCID Profile

Prof. Wen’s work is widely disseminated across several academic platforms, including DBLP, where his extensive list of publications and conference proceedings are readily accessible. He maintains an active online presence in the academic community, contributing to significant journals in the fields of data mining, machine learning, IoT, and cloud computing. His research activities and papers have influenced a broad spectrum of disciplines, from blockchain technology and decentralized federated learning to reinforcement learning and knowledge graph reasoning. These platforms serve as an essential resource for those interested in the cutting-edge developments Prof. Wen is driving in these areas. His academic footprint spans multiple disciplines, reflecting the depth and diversity of his research endeavors.

Education

Prof. Wen’s educational background is a strong foundation for his success in the field of computer science. After completing his Bachelor’s Degree in Computer Science and Technology from Northeast Forest University in 2007, he went on to pursue graduate studies at the University of Science and Technology of China (USTC) and City University of Hong Kong (CityU). Under the guidance of renowned experts Prof. Lihua Yue (USTC) and Prof. Qing Li (CityU), he earned his Ph.D. in Computer Science in 2012. His doctoral research focused on pioneering algorithms and methodologies related to data mining, big data, and intelligent systems, which led to several publications in top-tier conferences. Prof. Wen’s education journey reflects not only academic rigor but also a continuous drive to contribute to the advancement of data engineering and AI technologies.

Research Focus

Prof. Wen’s research interests are highly interdisciplinary, with a focus on Big Data Processing and Mining, the Internet of Things (IoT), and Artificial Intelligence. Specifically, his work examines how big data can be processed efficiently, using novel algorithms for data mining and pattern recognition. He explores decentralized systems and federated learning as solutions to large-scale data analysis in distributed environments, such as IoT devices. His AI research includes the application of machine learning algorithms to real-world problems like medical image analysis, blockchain technology, and time series classification. Prof. Wen’s innovative approach to cross-cutting challenges in IoT and AI is advancing both theoretical frameworks and practical applications, particularly in smart healthcare systems, intelligent transportation, and secure data exchange. His research has become crucial in addressing emerging global challenges in data analytics, automation, and security.

Experience

Prof. Wen has extensive professional experience, both in academia and in administrative roles. In addition to his academic role at NingboTech University, where he teaches and mentors graduate students, he has held a significant leadership position as the deputy director of the Bureau of Science and Technology in Yinzhou District, Ningbo City. His contributions to the local scientific community, particularly in the areas of technology innovation and policy development, have further solidified his influence in the region. Prof. Wen has been a key reviewer and editor for top journals such as IEEE Transactions on Knowledge and Data Engineering (TKDE), Knowledge-Based Systems (KBS), and Web Mining and Data Mining (WWWJ). As an editor for Information Technology and Telecommunications, he continues to shape the academic discourse in his fields of expertise. His participation in numerous program committees for leading conferences like WSDM, DASFAA, WISE, ICML, and CIKM has allowed him to contribute to the shaping of future research agendas.

Research Timeline

Prof. Wen’s research trajectory spans over a decade, marked by several key milestones:

  • 2010-2014: Prof. Wen laid the groundwork for his academic career by focusing on foundational topics such as the Internet of Things (IoT), human-centric computing, and data engineering. During this period, he made early contributions to the development of algorithms for data analysis and processing.

  • 2014-2020: This phase marked a shift towards more specialized research, particularly in big data processing and federated learning. Prof. Wen began exploring decentralized data systems, a trend that would become central to his work in AI and blockchain technologies. His research in this period was focused on the intersection of IoT, cloud computing, and machine learning.

  • 2021-Present: Prof. Wen has taken on a leadership role in research surrounding AI safety, reinforcement learning, and blockchain applications. His work in federated learning and decentralized AI models continues to evolve, with applications in healthcare, transportation, and smart cities. His recent contributions have been widely recognized, with papers published in conferences such as ICML, CIKM, and ADMA.

Awards & Honors

Throughout his career, Prof. Wen has received several prestigious awards and honors in recognition of his outstanding contributions to the fields of computer science and data engineering. He has received recognition from key research institutions for his innovation in AI, IoT, and Big Data. He has also earned accolades for his service in academic governance, including his active role as a Program Committee member and editorial board member for well-respected journals. Additionally, Prof. Wen has been the recipient of various research grants, helping him drive forward cutting-edge projects in machine learning, IoT, and blockchain technology. His work continues to be instrumental in advancing the boundaries of knowledge in these transformative fields.

Top-Noted Publications

Among Prof. Wen’s many publications, the following are especially notable for their impact on both academia and industry:

  • “Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach” (AAAI 2025) – This paper addresses the critical challenge of data heterogeneity in federated learning and proposes novel approaches to enhance model training in medical AI applications.

  • “ExClique: An Express Consensus Algorithm for High-Speed Transaction Processing in Blockchains” (INFOCOM 2025) – A groundbreaking paper on blockchain transaction processing, offering new solutions for enhancing consensus algorithms in decentralized systems.

  • “Towards Efficient Decentralized Federated Learning: A Survey” (ADMA 2024) – This survey paper delves into the methodologies and challenges of decentralized federated learning, providing insights into efficient approaches for distributed AI systems.

  • “Facilitating Feature Selection and Extraction in Clinical Trials with Large Language Models” (ADMA 2024) – This work highlights how AI and large language models can revolutionize clinical trials by automating and improving feature extraction for medical data analysis.

These publications reflect Prof. Wen’s focus on AI-driven innovation, decentralized learning systems, and applications in healthcare and blockchain technology, which continue to influence future research in these areas.

Mohamed Saad Bouh Elemine Vall, Mathematics, Best Researcher Award

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Doctorate Mohamed Saad Bouh Elemine Vall: Assistant professor at Higher Institute of industrial Engineering, Mauritania

 

Dr. Mohamed Saad Bouh Elemine Vall is a Mauritanian mathematician and Assistant Professor at the Institut Supérieur de Génie Industriel in Nouakchott, Mauritania. His academic work spans theoretical and applied mathematics, with a concentration on nonlinear analysis, partial differential equations, and variational methods. With over ten years of experience in higher education and scientific research, Dr. Vall has built a strong international research portfolio, particularly in the analysis of elliptic and parabolic problems within generalized functional frameworks. He is also deeply engaged in interdisciplinary applications, contributing to both mathematical theory and real-world problem solving through simulations, statistical modeling, and data analysis.

Online Profiles

Google Scholar Profile

Citations and Indices

Since 2020, Dr. Vall has accumulated a total of 99 citations, with 84 of them coming in recent years. His h-index stands at 5, reflecting a solid impact of his publications in the scientific community, while his i10-index is 2, indicating that two of his publications have received at least 10 citations each. These indices highlight the growing relevance and influence of his research in applied mathematics and nonlinear analysis.

Dr. Vall maintains an active online academic presence. His Google Scholar profile showcases his research impact, citation metrics, and publication trends across mathematical journals. Through ResearchGate, he regularly shares his work with the international scientific community, including peer-reviewed articles, conference presentations, and ongoing research updates. These platforms reflect both the breadth and depth of his contributions in mathematics, and serve as a resource for students and collaborators worldwide.

Education

Dr. Vall earned a Ph.D. in Mathematics and Applications from the University Sidi Mohamed Ben Abdellah in Fès, Morocco, where he specialized in nonlinear analysis and functional spaces. He also holds a Master’s degree in Mathematical Sciences with a specialization in Partial Differential Equations, Modeling, and Scientific Computing (EDPMCS). His earlier education includes a Bachelor’s and Master’s degree in Applied Mathematics from the University of Nouakchott, preceded by a DEUG in Mathematics and Physics, and a Baccalaureate in Mathematical Sciences obtained at the Lycée National of Mauritania. This robust academic background underpins his expertise in both pure and applied domains of mathematics.

Research Focus

Dr. Vall’s research lies at the intersection of nonlinear functional analysis, variational methods, and mathematical modeling. He specializes in Musielak-Orlicz and variable exponent Sobolev spaces, developing new existence and multiplicity results for weak and entropy solutions to elliptic and parabolic PDEs. His interests extend to the mathematical study of complex real-world systems, including epidemiological dynamics, econometric time-series models, and data-driven simulations. He is particularly noted for using modern numerical tools like Python, R, and Mathematica to bridge theory and computation, making his research relevant to both pure mathematicians and applied scientists.

Experience

Dr. Vall has taught at various academic institutions including the University of Nouakchott Al Aassriya, the Institut Supérieur de Comptabilité et d’Administration des Entreprises (ISCAE), and the Institut Universitaire Professionnel. He has delivered over 20 unique undergraduate and graduate-level courses covering analysis, topology, statistics, numerical methods, and programming with R, Python, and Octave. His teaching portfolio also includes courses in econometrics, data science, and statistical modeling, tailored for students in engineering, economics, and logistics. In addition to classroom teaching, he has supervised numerous master’s dissertations and co-supervised doctoral theses in both theoretical mathematics and applied modeling.

Research Timeline

Dr. Vall’s research trajectory began in 2013 with work on entropy solutions in Musielak-Orlicz frameworks. From 2015 to 2018, he focused on strongly nonlinear problems involving variable exponent growth, collaborating closely with research groups in Morocco. Between 2019 and 2021, his work evolved to cover Kirchhoff-type elliptic problems and the use of numerical simulations in public health modeling, notably during the COVID-19 pandemic. More recently (2022–2025), his research has delved into non-local operators, anisotropic Laplacians, and hybrid analytical-computational approaches, with publications in journals such as Nonlinear Dynamics, Complex Variables and Elliptic Equations, and Boundary Value Problems.

Awards & Honors

In recognition of his academic excellence, Dr. Vall received a Certificate of Excellence for the 2013 cohort of the Master’s program in Fès. He has been selected to participate in multiple advanced mathematics schools organized by CIMPA, including programs on waste management modeling and inverse problems in geometry. He has presented research at major conferences, including the International Conference on Differential Geometry and the Spring School on Nonlinear PDEs. His contributions to mathematical research and teaching have earned him respect in both national and international academic communities.

Top-Noted Publication

One of Dr. Vall’s most distinguished publications is the 2025 article titled:
A. Ahmed, M. S. B. Elemine Vall, Weak solutions in anisotropic (α→(z), β→(z))-Laplacian Kirchhoff models, published in Complex Variables and Elliptic Equations.
This work addresses a class of generalized Kirchhoff equations involving anisotropic operators and variable growth conditions, contributing novel theoretical results and extending the frontier of nonlinear elliptic theory. The paper has received recognition for its methodological depth and relevance in advanced PDE analysis.

  • Entropy solutions for parabolic equations in Musielak framework without sign condition and with measure data

    • Authors: MSB Elemine Vall, A Ahmed, A Touzani, A Benkirane

    • Journal: Archivum Mathematicum

    • Volume: 56 (2), Pages 65-106

    • Year: 2020

  • Entropy solutions for nonlinear parabolic problems with noncoercivity term in divergence form in generalized Musielak-Orlicz spaces

    • Authors: A Talha, A Benkirane, MSB Elemine Vall

    • Journal: Nonlinear Studies

    • Volume: 25 (1)

    • Year: 2018

  • Fractional double-phase problems with Kirchhoff-type operators and variable exponents

    • Authors: M El Khayr Boukraa, MSB Elemine Vall

    • Journal: Journal of Elliptic and Parabolic Equations

    • Year: 2025

  • Weak solutions in anisotropic (α→(z), β→(z))-Laplacian Kirchhoff models

    • Authors: MSB Elemine Vall, A Ahmed

    • Journal: Complex Variables and Elliptic Equations

    • Year: 2025

  • Multiplicity of weak solutions in double phase Kirchhoff elliptic problems with Neumann conditions

    • Authors: A Ahmed, MSB Elemine Vall, S Boulaaras

    • Journal: Boundary Value Problems

    • Volume: 2025 (1), Pages 50

    • Year: 2025

fady zakaria, Medicine, Best Researcher Award

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Doctorate fady zakaria: Newgiza University, Egypt

Fady Zakaria is a dedicated medical student in his second year at Newgiza University, specializing in pediatric neurology with a particular interest in epilepsy. Fady’s academic journey is driven by a deep passion for exploring molecular biology and its applications in the diagnosis and treatment of neurological conditions. As an aspiring physician-scientist, his research aims to bridge the gap between molecular mechanisms and clinical practices, particularly in pediatric populations. His work is characterized by a meticulous approach to scientific inquiry, a strong desire to contribute to medical knowledge, and a commitment to improving pediatric healthcare outcomes.

Online Profiles

ORCID Profile

At this stage, Fady does not have a personal website or LinkedIn profile. However, his professional identity and research contributions can be accessed through his academic affiliations and publications, which highlight his ongoing dedication to advancing medical research. He is actively working towards developing an online presence that will reflect his growing body of research and professional experiences as he progresses through his medical career.

Education

Fady Zakaria is currently enrolled in the undergraduate medical program at Newgiza University, where he has been excelling in both clinical and research components of his education. His academic journey is set to culminate in his graduation with a Bachelor of Medicine, Bachelor of Surgery (MBBCH) degree in March 2024. Throughout his medical education, Fady has demonstrated a particular interest in neurobiology and molecular genetics, specifically as they relate to pediatric epilepsy. His studies have provided him with a strong foundation in both theoretical and practical aspects of medicine, preparing him for future research and clinical practice in neurology.

Research Focus

Fady’s current research is centered around the role of microRNAs (miRNAs) in pediatric epilepsy, focusing on their potential as both biomarkers for early diagnosis and therapeutic targets for treatment. His work investigates the molecular pathways through which miRNAs influence neuronal function and how they can be harnessed to improve clinical outcomes for children suffering from epilepsy. By identifying specific miRNA profiles associated with epilepsy, Fady aims to contribute to a deeper understanding of the disease’s pathogenesis and to propose novel, non-invasive diagnostic tools. His research is driven by a desire to address the unmet needs of pediatric patients who face chronic neurological disorders.

Experience

Although Fady is early in his research career, he has already gained invaluable experience through active participation in several research projects and clinical audits. As a first author, he presented a study on the role of venous thromboembolism prophylaxis in general surgical patients at the Annual Meeting of Al-Salam Surgeons in May 2025, which gave him an opportunity to engage with professionals in the surgical and clinical fields. Additionally, Fady contributed to the preparation of a presentation on “Closing defects, from simple to difficult” at the United Conference of Hepatogastroenterology and Infectious Diseases in 2024. This exposure to a wide range of medical disciplines has provided him with the practical skills and interdisciplinary knowledge necessary to tackle complex clinical questions. Fady continues to refine his skills in both research and presentation, positioning himself for a future in academic medicine.

Research Timeline

  • 2023-Present: Fady’s research journey began in 2023, when he started investigating the role of miRNAs in pediatric epilepsy as part of his academic focus at Newgiza University. This research is ongoing and is expected to culminate in further publications and potential collaborations with experts in neurology and genetics.

  • 2024: As part of his final year of medical school, Fady plans to expand his research into therapeutic applications of miRNA-based treatments for pediatric epilepsy. This year will also mark the completion of his undergraduate medical education and the beginning of his transition into more specialized clinical and research roles.

  • 2025 and Beyond: After graduation, Fady intends to pursue a medical career that combines clinical practice with continued research in molecular neurology, aiming to contribute to the development of personalized treatment plans for children with epilepsy.

Awards & Honors

Though Fady has not yet received formal awards or honors, his contributions to the field are already gaining attention. His work was recognized during the Annual Meeting of Al-Salam Surgeons in 2025, where he presented his clinical audit on thromboembolism prevention. This recognition is just the beginning of what is expected to be a promising academic and clinical career. Fady continues to work diligently on his research and aims to earn accolades as his contributions to the field expand.

Top-Noted Publication

Fady’s most notable publication to date is the systematic review titled The Role of MicroRNAs in the Pathogenesis and as Biomarkers for Pediatric Epilepsy, published in Molecular Diagnosis & Therapy on June 8, 2025. The publication, co-authored with prominent experts in the field, delves into the potential of miRNAs to not only serve as biomarkers for early diagnosis of epilepsy in children but also to guide the development of novel therapeutic strategies. This work is a significant contribution to the field, offering a comprehensive review of the existing literature while proposing new avenues for future research. Fady’s ability to synthesize complex data and present it clearly has earned him recognition among his peers and mentors.

Fady Zakaria’s most notable publication is the journal article The Role of MicroRNAs in the Pathogenesis and as Biomarkers for Pediatric Epilepsy: A Systematic Review, published in Molecular Diagnosis & Therapy on June 8, 2025. This article delves into the potential of microRNAs (miRNAs) as both biomarkers for early diagnosis and therapeutic targets in pediatric epilepsy. The systematic review synthesizes current research on the molecular mechanisms underlying epilepsy and discusses how miRNAs could revolutionize diagnostic practices and treatment strategies for children with this neurological condition. Fady co-authored this paper alongside Steven Amged Yousef, Janna AbdelDayem, Rawan ElGamal, Omar Y. Issa, Mohamed Mansour, Harvey Bastorous, Eslam Emad, and Rudayna Mahgoub. The paper has garnered attention for its in-depth analysis and forward-looking approach to the role of miRNAs in epilepsy.

DOI: 10.1007/s40291-025-00791-9

Dharmendra Kumar Yadav, Chemistry, Best Researcher Award

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Dr. Dharmendra Kumar Yadav: Assistant Professor at Department of Biologics, College of Pharmacy, Gachon University, Korea

Dr. Dharmendra Kumar Yadav is a globally recognized scientist, currently serving as an Assistant Professor at the Department of Biologics, College of Pharmacy, Gachon University, South Korea. With a Ph.D. in Biological Science from CSIR-Central Institute of Medicinal and Aromatic Plants (Lucknow, India), he is regarded as one of the world’s top 2% scientists. His research integrates molecular modeling, chemoinformatics, bioinformatics, and plasma medicine, focusing on computational approaches for drug discovery and therapeutic applications. His work explores the in-silico prediction of biological activities and the molecular mechanisms behind plasma’s interactions with biomolecules, particularly in cancer treatment. Dr. Yadav’s groundbreaking contributions to plasma chemistry and bioinformatics have positioned him at the forefront of these rapidly evolving fields.

Online Profiles

Google Scholar Profile

  • Citations: 4874 total, with 3868 since 2020.

  • h-index: 37 total, with 32 since 2020.

  • i10-index: 122 total, with 113 since 2020.

Dr. Yadav maintains a robust digital presence through platforms such as Google Scholar, ResearchGate, and LinkedIn, where his work on molecular dynamics simulations, plasma medicine, and drug design is extensively shared. His profiles serve as a bridge between his research and the broader scientific community, enabling collaborations with top universities and research institutes. He regularly engages in academic discourse, providing valuable insights into cutting-edge computational techniques and interdisciplinary research. Through these platforms, Dr. Yadav not only shares his findings but also mentors the next generation of scientists, fostering international collaborations and partnerships.

Education

Dr. Yadav’s educational background is grounded in interdisciplinary research, combining biological sciences with advanced computational techniques. He earned his Ph.D. in Biological Science in 2013, working on QSAR model development for anticancer compounds at CSIR-Central Institute of Medicinal and Aromatic Plants, affiliated with Jawaharlal Nehru University, India. His research during his doctorate focused on developing predictive models for natural compounds, aiming to assess their in-vitro and in-vivo anticancer activities. Prior to his Ph.D., Dr. Yadav obtained his M.Sc. in Biomedical Science from Bundelkhand University, Jhansi, India, where he laid the foundation for his career in computational biology and drug discovery.

Research Focus

Dr. Yadav’s research is multifaceted, spanning several cutting-edge areas of computational biology, chemistry, and medicine. At the core of his work is the development of predictive QSAR models aimed at the functional identification of DNA and protein motifs, leveraging statistical methods and machine learning algorithms. His research into plasma medicine focuses on understanding the interactions between reactive plasma species and cellular biomolecules, such as DNA, proteins, and phospholipids. By using computational techniques like molecular dynamics simulations and density functional theory (DFT), Dr. Yadav seeks to unravel the underlying mechanisms of plasma therapy, particularly for cancer treatment. His other areas of interest include nanotechnology and plasma-surface interactions, with a goal to improve the efficiency of plasma for chemical production and fuel synthesis.

Experience

Dr. Yadav has over 10 years of academic and professional experience in both research and teaching. Since March 2024, he has been an Assistant Professor at Gachon University, where he teaches and mentors undergraduate, master’s, and Ph.D. students in the fields of pharmaceutical sciences and computational biology. His academic journey also includes roles as Principal Scientist at Arontier Co. Ltd., where he worked on drug development projects, and Research Professor at Gachon University from 2016 to 2019. Prior to his academic tenure, Dr. Yadav gained international exposure as a Post-Doctoral Research Fellow at Hanyang University, Seoul, South Korea, and a CSIR-Research Associate at the University of Delhi. His diverse experience across academia, research institutions, and industry positions him as a leading expert in his field.

Research Timeline

  • 2021–2022: Co-Principal Investigator for an AI-based anticancer drug development project funded by Gachon University Hospital, focusing on the development of RET-targeted therapies.

  • 2017–2020: Led the National Research Foundation of Korea (NRF) funded project on plasma medicine, exploring its application in cancer therapy and the interaction of reactive species with biomolecules.

  • 2015–2028: As Principal Investigator, led a long-term project funded by the Science & Engineering Research Board (SERB) on QSAR and molecular docking of COX inhibitors.

  • 2014–2015: Worked as a Research Associate at University of Delhi, developing QSAR models for anticancer natural products and advancing drug discovery.

  • 2013–2014: Postdoctoral Fellow at Hanyang University, where he conducted advanced research in nanoscale characterization and the study of plasma interactions with materials.

Awards & Honors

Dr. Yadav’s exceptional contributions to molecular dynamics, drug design, and plasma medicine have earned him recognition as one of the top 2% scientists worldwide. He has received numerous prestigious awards, including research grants from major funding agencies such as the National Research Foundation of Korea (NRF) and Science & Engineering Research Board (SERB). His achievements in interdisciplinary research, particularly in computational biology and cancer therapy, have also led to invitations to deliver keynote speeches at international conferences. Dr. Yadav is highly regarded for his leadership in advancing computational tools for drug discovery and plasma applications in medicine.

Top-Noted Publications

Dr. Yadav’s academic work has been widely published in high-impact journals and presented at international conferences. His publications on molecular dynamics simulations of reactive oxygen species (ROS) in plasma medicine are among the most cited in the field. Notable publications include studies on the interaction of plasma-generated ROS with native and oxidized lipid membranes and their implications for cancer therapy. His research on QSAR modeling for anticancer compounds has influenced the development of new drug discovery approaches. Dr. Yadav’s contributions have significantly advanced the understanding of plasma-biomolecule interactions, making him a leading authority in computational toxicology and drug design.

  • Epigallocatechin 3-gallate: From green tea to cancer therapeutics

    • Citations: 193

    • Published: 2022

    • This one explores the potential of EGCG (a key component of green tea) in cancer treatment. Green tea’s bioactive compounds, like EGCG, have been linked to a variety of health benefits, including anti-cancer effects.

  • Biomedical features and therapeutic potential of rosmarinic acid

    • Citations: 168

    • Published: 2022

    • This article focuses on rosmarinic acid, which is found in herbs like rosemary and basil. It has antioxidant, anti-inflammatory, and antimicrobial properties, making it a great candidate for therapeutic applications.

  • Influence of reactive species on the modification of biomolecules generated from the soft plasma

    • Citations: 140

    • Published: 2015

    • This paper looks at how reactive species (like free radicals) interact with biomolecules, a topic of interest in plasma medicine and biotechnology.

  • Molecular dynamic simulations of oxidized skin lipid bilayer and permeability of reactive oxygen species

    • Citations: 118

    • Published: 2019

    • This publication discusses how reactive oxygen species (ROS) affect the permeability of skin lipid bilayers, which could have implications for skin health, drug delivery, and cosmetics.

  • Identification of novel acetylcholinesterase inhibitors designed by pharmacophore-based virtual screening, molecular docking and bioassay

    • Citations: 100

    • Published: 2018

    • This one focuses on drug discovery for neurodegenerative diseases by identifying compounds that inhibit acetylcholinesterase, an enzyme linked to Alzheimer’s disease.