Yasuhiro Ohara | Reproductive Medicine | Best Researcher Award

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Dr. Yasuhiro Ohara | Reproductive Medicine | Best Researcher Award

Medical Director at Reproduction Clinic Osaka, Japan

Dr. Yasuhiro Ohara is a distinguished reproductive medicine specialist with a strong background in obstetrics, gynecology, and assisted reproductive technology. As the Medical Director of Reproduction Clinic Osaka, he plays a key role in advancing fertility treatments and surgical interventions for reproductive health. His research in endometrial receptivity and personalized embryo transfer has contributed significantly to improving ART outcomes. Recognized for his academic excellence and clinical expertise, Dr. Ohara continues to shape the field of reproductive medicine through innovative research, publications, and global collaborations.

Publication Profile

Scopus 

Educational Details

Dr. Yasuhiro Ohara earned his Medical Doctor (M.D.) degree from Kobe University Medical School in March 2010. During his medical training, he participated in the Clinical Elective Program at the National University of Singapore in 2009.

Professional Experience

Dr. Ohara is a highly experienced reproductive medicine specialist with extensive clinical and surgical expertise in obstetrics, gynecology, and assisted reproductive technology. He currently serves as the Medical Director at Reproduction Clinic Osaka, a role he has held since January 2022. Previously, he was the Head Physician at Reproduction Clinic Tokyo (2019–2022) and the Department of Obstetrics and Gynecology at Teine Keijinkai Hospital (2017–2019). His prior experience includes fellowship training in reproductive endocrinology at Hokkaido University (2016–2017) and clinical fellowships at Hokkaido P.W.F.A.C, Obihiro-Kosei General Hospital (2014–2016), Asahikawa-Kosei General Hospital (2012–2014), and Hokkaido University (2012). He began his career as a medical intern at Okinawa Prefectural Nanbu Medical Center and Children’s Medical Center (2010–2012).

Research Interest

Dr. Ohara’s research focuses on reproductive medicine, assisted reproductive technology (ART), endometrial receptivity, hysteroscopic and laparoscopic surgery, and embryo transfer optimization. His work explores the effects of surgical interventions on ART outcomes and advancements in personalized embryo transfer techniques based on endometrial receptivity tests.

Awards and Recognition:

Dr. Ohara has received multiple accolades for his contributions to reproductive medicine, including:

  • Award for Excellent Presentation, The 64th Annual Meeting of the Northern Japan Society of Obstetrics and Gynecology (2017)
  • Top Cited Article, Reproductive Medicine and Biology (2023)
  • Top Downloaded Article, Reproductive Medicine and Biology (2024)

Top Noted Publication

Title: Investigating Dosage Effects of Ovulation Inhibitors on Oocyte Maturation in Assisted Reproductive Technology: A Retrospective Study Among Patients With Normal Ovarian Reserve

Authors:

  • Mika Handa (M.)
  • Tsuyoshi Takiuchi (T.)
  • Sumika Kawaguchi (S.)
  • Tetsuhisa Kitamura (T.)
  • Tadashi K. Kimura (T.K.)

Journal: PLoS ONE

Publication Year: 2025

Conclusion:

Dr. Yasuhiro Ohara is a highly accomplished researcher and clinician in reproductive medicine, with significant contributions to ART, endometrial receptivity, and personalized embryo transfer. His leadership, impactful publications, and conference presentations make him a strong candidate for the Best Researcher Award in Reproductive Medicine. To further strengthen his profile, expanding collaborative research efforts, targeting high-impact journals, and securing additional research funding would enhance his academic influence.

Arti Singh | Machine learning | Best Researcher Award

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Mrs. Arti Singh | Machine learning | Best Researcher Award

Assistant Professor at DYPIEMR, India

Mrs. Arti Singh is an accomplished academician and researcher with a robust background in Computer Science, Artificial Intelligence, and Data Science. She is currently serving as an Assistant Professor at Dr. D Y Patil Institute of Engineering Management and Research. With a passion for teaching and research, her expertise lies in machine learning, sentiment analysis, data science, and computational intelligence. Mrs. Singh has presented and published several research papers at national and international conferences. She is committed to continuous learning, having completed various industry-relevant certifications and training programs.

Publication Profile

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Educational Details

  • M.Tech in Computer Technology and Applications from National Institute of Technical Teachers’ Training and Research (RGPV, Bhopal) – 2016 (CGPA: 8.69)
  • B.E. in Computer Science Engineering from Sagar Institute of Research Technology and Science (RGPV, Bhopal) – 2014 (CGPA: 8.35)

Professional Experience

  • Assistant Professor in the Department of Artificial Intelligence and Data Science at Dr. D Y Patil Institute of Engineering Management and Research since July 1, 2022.
  • Lecturer in the Computer Department at Marathwada Mitra Mandal Polytechnic College.
  • Assistant Professor at Sri Sai Shail Manglam College, Singrauli (June 1, 2019, to June 30, 2021).
  • Resource Person for the B.C.A Vocational course at Babasaheb Bhimrao Ambedkar Bihar University, Muzaffarpur (May 30, 2017, to May 27, 2019).

Research Interest

  • Data Science
  • Machine Learning
  • Software Engineering
  • Operating Systems
  • Quantum Artificial Intelligence
  • Pattern Recognition
  • Computational Intelligence

Top Noted Publication

An Opinion Mining for Indian Premier League Using Machine Learning Techniques

  • Authors: KP Dubey, S Agrawal
  • Conference: 2019 4th International Conference on Internet of Things: Smart Innovation, Usage, and Application
  • Pages: 25
  • Year: 2019
  • Summary: This paper presents a sentiment analysis model for social media data related to the Indian Premier League (IPL). The authors employed machine learning techniques to classify public opinions, enabling better understanding of audience engagement and predicting trends in sports sentiment.

Comparing Classification and Regression Tree and Support Vector Machine for Analyzing Sentiments for IPL

  • Author: Arti Singh
  • Journal: International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC)
  • Volume: 4
  • Issue: 6
  • Pages: 172-175
  • Year: 2016
  • ISSN: 2321-8169
  • Summary: This study compares the performance of two machine learning algorithms, Classification and Regression Tree (CART) and Support Vector Machine (SVM), for sentiment analysis on IPL data. The research evaluates the accuracy and effectiveness of both approaches for sports sentiment analysis.

AI Application in Production

  • Author: Arti Singh
  • Publisher: Taylor & Francis
  • Book Title: Industry 4.0: Enabling Technologies and Applications
  • Chapter: AI Application in Production
  • Year: 2024
  • URL: Link to book
  • Summary: This book chapter explores the integration of Artificial Intelligence (AI) in manufacturing and production processes. It highlights AI-driven innovations, predictive maintenance, process optimization, and intelligent automation in modern industrial setups.

Automated Invoice Data Extraction: Advancements and Challenges in OCR-Based Approaches

  • Authors: Arti Singh, Sneha Kanwade, Siddhant Shendge, Amoksh Layane, Kohsheen Tikoo
  • Journal: International Journal of Scientific Research in Engineering and Management (IJSREM)
  • Volume: 8
  • Pages: 1-6
  • ISSN: 2582-3930
  • Year: 2024
  • Summary: This paper addresses the growing need for automated invoice data extraction using Optical Character Recognition (OCR) technologies. It discusses the latest advancements, the challenges faced, and potential solutions to enhance accuracy in invoice processing systems.

An In-Depth Analysis of Sentiment Polarity Using Various Machine Learning Algorithms

  • Author: Arti Singh
  • Conference: 8th International Conference on ISDIA 2024
  • Volume: 1107
  • Pages: 157–167
  • Year: 2024
  • Summary: This research investigates the effectiveness of different machine learning algorithms for sentiment polarity detection. The study evaluates models such as SVM, Random Forest, and Extremely Randomized Trees to improve sentiment classification accuracy in social media data.

Comparative Study of Machine Learning Algorithms for Sentiment Polarity

  • Author: Arti Singh
  • Conference: IRF International Conference
  • Pages: 1-5
  • Year: 2017
  • Summary: The paper compares several machine learning techniques, including Naive Bayes, Decision Trees, and SVM, for sentiment polarity classification. It emphasizes the importance of selecting the appropriate algorithm for accurate sentiment detection in online text data.

Conclusion:

Mrs. Arti Singh is a strong candidate for the Best Researcher Award, given her consistent research output in machine learning and applied AI domains, industry-relevant research contributions, and dedication to academic excellence. Her work bridges the gap between theory and practice, making her a valuable contributor to the field of computational intelligence and Industry 4.0 applications.

With increased focus on high-impact journals, research funding, and industry collaborations, she has the potential to emerge as a leading figure in her field. Therefore, she is highly deserving of recognition through the Best Researcher Award.

 

 

Megha Unni | Energy Storage Applications | Best Researcher Award

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Ms. Megha Unni | Energy Storage Applications | Best Researcher Award

Research Scholar at VIT-AP UNIVERSITY, India

Ms. Megha Unni is a doctoral researcher at VIT-AP, specializing in material science with a focus on high-entropy alloy coatings for energy storage and corrosion resistance applications. She holds a Master’s in Physics from Amrita Vishwa Vidyapeetham and a Bachelor’s in Physics from Calicut University. Her research interests span electrochemistry, corrosion science, and ferroelectric materials. She has published peer-reviewed journal articles and holds multiple patents. Megha is a recipient of the Research Award from VIT-AP and has participated in international conferences and workshops related to advanced materials.

Publication Profile

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Educational Details

Ph.D., Physics – VIT-AP, Amaravati, Andhra Pradesh, India (2021 – Present)

  • Research Focus: High-Entropy Alloy Coatings for Energy Storage Materials
  • Supervisor: Dr. Sudagar Jothi

Master of Science (M.Sc.), Physics – Amrita Vishwa Vidyapeetham, Kerala (2020)

  • CGPA: 8.06

Bachelor of Science (B.Sc.), Physics – NSS College Ottapalam, Calicut University, Kerala (2018)

  • Percentage: 76.6%
  • Subsidiary Subjects: Mathematics, Computer Science

Professional Experience

Doctoral Researcher, VIT-AP University, Andhra Pradesh (Aug 2021 – Present)

  • Focused on developing high-entropy alloy coatings for energy storage and electrochemical applications.
  • Research on corrosion resistance, electrochemical properties, and ferroelectric behavior of novel multi-component alloy systems.

Research Assistant, Amrita Vishwa Vidyapeetham, Coimbatore (2018 – 2020)

  • Developed photodetectors based on organic molecules, perovskites, and antimony sulfoiodide-polyaniline composites under Dr. Sudip Kumar Batabyal.
  • Investigated nitro-explosive detection using perylene derivatives at IISER Bhopal (Summer Internship 2019).

Research Interest

  • Material Science
  • High-Entropy Alloy Coatings
  • Electrochemistry
  • Corrosion Science
  • Ferroelectric Energy Storage Materials

Top Noted Publication

1. Ni-Co-W-Zr (P) Quinary-based Medium Entropy Alloy Achieved by an Electrochemical Route and Its Properties

Authors: Megha Unni, Sudagar Jothi
Journal: Journal of The Electrochemical Society, 172(1), 012502 (2025)
DOI: 10.1149/1945-7111/ada2bb
Summary:
This research focuses on the synthesis and characterization of a novel Ni-Co-W-Zr (P) quinary-based medium entropy alloy (MEA) using an electrochemical deposition technique. The paper highlights the structural, mechanical, and electrochemical properties of the alloy, demonstrating its potential applications in corrosion resistance and energy storage systems. The alloy exhibits excellent microstructural stability and improved hardness, making it suitable for functional coatings in harsh environments.

2. Preparation of Electroless Deposition of NiTiZr (P) Quaternary Alloy and Their Properties

Authors: Megha Unni, J. Sudagar
Journal: Heliyon, 10(17), e20134 (2024)
DOI: Heliyon Article
Summary:
This paper presents the development of a quaternary alloy (NiTiZr (P)) through an electroless deposition process. The study explores the alloy’s composition, surface morphology, phase structure, and electrochemical behavior. It particularly emphasizes the corrosion resistance and mechanical robustness of the alloy, making it a promising candidate for protective coatings and energy applications.

3. Enhanced Performance of Lead-Free MASnI3 Based Perovskite Solar Cells: Numerical Approach

Authors: B E, N H Varsha, Megha Unni, Sudagar Jothi, C D S
Book Chapter: Applications of Advanced Nanomaterials, Volume 1, Page 103 (2023)
DOI: 10.1016/B978-0-323-90345-0.00004-7
Summary:
This work provides a numerical simulation study on lead-free MASnI3-based perovskite solar cells. The study investigates the optoelectronic performance and stability enhancements by optimizing device architecture and material parameters. The findings propose design strategies to improve the efficiency and commercial viability of environmentally friendly perovskite solar cells.

Conclusion:

Ms. Megha Unni is a highly promising researcher with a robust foundation in material science, particularly in high-entropy alloy coatings and energy storage applications. Her contributions to electrochemical materials, corrosion science, and perovskite solar cells position her as a strong candidate for the Best Researcher Award. Her ability to balance experimental work, patents, and publications showcases both scientific rigor and applied innovation. While she is still in the early stages of her research career, her trajectory suggests significant potential to make impactful contributions to energy storage and material science.

 

 

Fahad Al Saadi | Applied Mathematics | Best Researcher Award

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Dr. Fahad Al Saadi | Applied Mathematics | Best Researcher Award

Senior Lecturer at Military Technological College, Oman

Dr. Fahad Al Saadi is a Senior Lecturer in Engineering Mathematics at the Military Technological College, Oman. He holds a Ph.D. in Engineering Mathematics from the University of Bristol, UK, and a Master’s in Mathematics from the University of Wollongong, Australia. With over two decades of experience in teaching, curriculum development, and academic coordination, his research spans nonlinear dynamics, mathematical biology, and engineering mathematics, focusing on mathematical modeling in reactor engineering and bio-mathematical systems.

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Educational Details

  • Doctor of Philosophy (Ph.D.) in Engineering Mathematics – University of Bristol, United Kingdom (2022)
  • Master of Mathematics – University of Wollongong, Australia (2014)
  • Bachelor of Education in Mathematics and Computer – College of Applied Sciences, Sohar, Oman (2003)

Professional Experience

Dr. Fahad Al Saadi is a seasoned academic professional with over 20 years of experience in mathematics education and engineering mathematics. He is currently serving as a Senior Lecturer in Engineering Mathematics at the Military Technological College (MTC), Oman, within the System Engineering Department (2023–Present). Prior to this role, he was a Lecturer in Engineering Mathematics at MTC (2015–2023), where he played a key role in developing and delivering core mathematics and engineering courses such as Engineering Mathematics I & II, Engineering Design, and Interdisciplinary Group Design Projects. He supervised final-year student projects, coordinated global mathematics modules, and contributed to curriculum development and quality assurance.

Before joining MTC, Dr. Al Saadi worked as a Part-time Mathematics Lecturer at Arab Open University and Mazoon University College (2014–2015), focusing on the design and delivery of mathematics modules. From 2007 to 2014, he served as a Curriculum Officer at the Ministry of Education, Oman, where he contributed to mathematics curriculum development, teacher training, and educational quality enhancement. His professional journey began as a Mathematics Teacher at Al-Warith Bin Kaab School (2003–2007), teaching grades up to the 12th level and actively engaging in various school committees.

Research Interest

  • Chemical Reactor and Bioreactor Engineering Problems
  • Nonlinear Dynamics
  • Nonlinear Waves and Coherent Structures
  • Turing Patterns
  • Bifurcation Analysis
  • Ordinary Differential Equations in Bio-Mathematics (Cancer Growth Modeling)
  • Mathematical Biology
  • Engineering Mathematics
  • Engineering Education
  • Design in Engineering

Top Noted Publication

Spikes and Localised Patterns for a Novel Schnakenberg Model in the Semi-strong Interaction Regime

  • Authors: F. Al Saadi, A. Champneys, C. Gai, T. Kolokolnikov
  • Journal: European Journal of Applied Mathematics, Vol. 33(1), pp. 133-152, 2022
  • Citations: 17
  • Summary: The paper presents a study on spike and localized pattern formation in a novel Schnakenberg model under semi-strong interaction, using asymptotic analysis and numerical computations.

Stationary and Oscillatory Localized Patterns in Ratio-dependent Predator–Prey Systems

  • Authors: F. Al Saadi, A. Champneys, A. Worthy, A. Msmali
  • Journal: IMA Journal of Applied Mathematics, Vol. 86(4), pp. 808-827, 2021
  • Citations: 9
  • Summary: This work investigates localized stationary and oscillatory patterns in a ratio-dependent predator–prey system, with a focus on spatial dynamics and pattern transitions.

Organization of Spatially Localized Structures near a Codimension-three Cusp-Turing Bifurcation

  • Authors: P. Parra-Rivas, A.R. Champneys, F.A. Saadi, D. Gomila, E. Knobloch
  • Journal: SIAM Journal on Applied Dynamical Systems, Vol. 22(4), pp. 2693-2731, 2023
  • Citations: 8
  • Summary: The paper analyzes the formation and organization of spatially localized structures arising near a cusp-Turing bifurcation of codimension three, relevant to pattern formation theory.

Transitions between Dissipative Localized Structures in the Simplified Gilad–Meron Model for Dryland Plant Ecology

  • Authors: F. Al Saadi, P. Parra-Rivas
  • Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 33(3), 2023
  • Citations: 8
  • Summary: This study investigates the transitions between various dissipative localized structures within the context of a simplified Gilad–Meron model used to understand vegetation patterns in drylands.

Localised Structures in a Virus-host Model

  • Authors: F. Al Saadi, A. Worthy, J.R. Pillai, A. Msmali
  • Journal: Journal of Mathematical Analysis and Applications, Vol. 499(1), Article 125014, 2021
  • Citations: 8
  • Summary: The paper explores the emergence of localized spatial structures in a virus-host model using mathematical analysis and numerical simulations.

Conclusion:

Dr. Fahad Al Saadi’s academic and research profile positions him as a strong candidate for the Best Researcher Award. His high-quality research output, impactful publications, and interdisciplinary contributions to applied mathematics, engineering, and biological systems reflect scholarly excellence. His teaching experience and mentorship further demonstrate his commitment to academic growth. With increased research funding, broader industrial collaborations, and heightened global visibility, Dr. Al Saadi’s research influence could reach even greater heights. He is a deserving nominee with the potential to achieve continued excellence in applied mathematics and engineering research.

 

 

Zeinab Chaghakaboodi | Biological Sciences | Best Researcher Award

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Mrs. Zeinab Chaghakaboodi | Biological Sciences | Best Researcher Award

Agricultural biotechnology at Razi university, Iran

Mrs. Zeinab Chaghakaboodi is an agricultural scientist specializing in plant breeding and crop stress physiology. She holds a B.Sc. and M.Sc. in Plant Breeding from Razi University, ranking first in both programs. She is currently pursuing her Ph.D. at the University of Tehran under the supervision of Dr. Houshang Alizadeh. Her research focuses on drought tolerance in rapeseed (Brassica napus L.), crop improvement through tissue culture, and the application of agricultural wastes in environmental management. She has published several research articles in reputable journals and has presented at numerous international and national conferences.

Publication Profile

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Educational Details

Ph.D. in Plant Breeding – University of Tehran (2009 – Present)

M.Sc. in Plant Breeding – Razi University (2007 – 2009)

  • Thesis: Study on Drought Tolerance in Winter Rape (Brassica napus L.) Genotypes
  • Supervised by Dr. Daniall Kahrizi
  • Transcript: 19.06 out of 20 (Ranked 1st)

B.Sc. in Agronomy and Plant Breeding – Razi University (2002 – 2006)

  • Project: Study of the Effect of Row Spacing on Yield and Yield Components in Fennel (Foeniculum vulgare Mill.)
  • Transcript: 17.73 out of 20 (Ranked 1st)

Professional Experience

Dr. Chaghakaboodi has extensive experience as an Agricultural Engineer in the villages of Kermanshah City, Iran, from 2007 to 2013. She also served as a Lecturer, teaching Agricultural Operations at the Faculty of Agriculture, Razi University, from 2008 to 2009. Her research engagements include work on callus induction in inverted tulips (Fritillaria imperialis L.) at Razi University in 2010 and the production of bread using mixed pea and wheat flour in the same year.

Research Interest

  • Plant Breeding and Genetics
  • Drought Tolerance Mechanisms in Crops (particularly Brassica napus L.)
  • Agro-physiological Trait Analysis under Stress Conditions
  • Biotechnology and Tissue Culture in Crop Improvement
  • Sustainable Agriculture and Medicinal Plants
  • Environmental Applications of Agricultural Wastes (Adsorption and Waste Management)

Author Metrics & Selected Publications:

  • Total Citations (as of 2024): 171
  • h-index: 5
  • i10-index: 4

Academic Honors:

  • Top Graduate: B.Sc. (GPA: 17.73/20), M.Sc. (GPA: 19.06/20) – Rank 1 in both programs.
  • Talented Student Member, Razi University (2007 – Present).
  • Third Prize, National Festival of Research, Ministry of Science, Research and Technology, Iran (2010).

Top Noted Publication

1. Kinetic and Equilibrium Studies of Adsorptive Removal of Sodium-Ion onto Wheat Straw and Rice Husk Wastes

  • Authors: A. Rasouli, A. Bafkar, Z. Chaghakaboodi
  • Journal: Central Asian Journal of Environmental Science and Technology Innovation
  • Volume: 1
  • Year: 2020
  • Citations: 51
  • Focus: Investigation of the adsorption efficiency of wheat straw and rice husk as agricultural waste materials for sodium-ion removal from aqueous solutions.

2. Heritability and Genetic Advance in Rapeseed (Brassica napus L.)

  • Authors: Z. Chaghakaboodi, D. Kahrizi, A. Zebarjadi
  • Journal: Iranian Journal of Genetics and Plant Breeding
  • Volume: 1(2), Pages: 16-21
  • Year: 2012
  • Citations: 37
  • Focus: Estimation of heritability and genetic advance for yield and yield-related traits in rapeseed genotypes, providing insights into trait inheritance and breeding potential.

3. Study of Relationship Between Some Agro-Physiological Traits with Drought Tolerance in Rapeseed (Brassica napus L.) Genotypes

  • Authors: Z. Chaghakaboodi, M. Kakaei, A. Zebarjadi
  • Journal: Central Asian Journal of Plant Science Innovation
  • Volume: 1(1), Pages: 1-9
  • Year: 2021
  • Citations: 36
  • Focus: Evaluation of the relationship between key agro-physiological traits and drought tolerance in different rapeseed genotypes to support breeding programs.

4. Evaluation of Drought Tolerance of Rapeseed (Brassica napus L.) Genotypes in Laboratory and Field Conditions

  • Authors: Z. Chaghakaboodi, A.R. Zebarjadi
  • Journal: Seed and Plant Journal
  • Volume: 28(1), Pages: 17-38
  • Year: 2012
  • Citations: 24
  • Focus: Comparative evaluation of rapeseed genotypes under both laboratory and field conditions to assess their drought tolerance performance.

5. Fumigation Toxicity of the Essential Oils of Ferula persica Against Tribolium castaneum and Ephestia kuehniella

  • Authors: Z. Chaghakaboodi, J. Nasiri, S. Farahani
  • Journal: Agrotechniques in Industrial Crops
  • Volume: 2(3), Pages: 123-130
  • Year: 2022
  • Citations: 23
  • Focus: Examination of the insecticidal properties of essential oils extracted from Ferula persica against stored product pests (Tribolium castaneum and Ephestia kuehniella).

Conclusion:

Mrs. Zeinab Chaghakaboodi is a commendable candidate for the Best Researcher Award in Biological Sciences. Her exemplary academic record, impactful research on drought tolerance, plant breeding, and agricultural waste utilization make her stand out. While she could benefit from broader international collaborations and publication in higher-impact journals, her current achievements demonstrate excellence in research, making her highly deserving of recognition through this award.

 

 

Pandian Lakshmanan | Catalysis | Best Researcher Award

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Assoc. Prof. Dr. Pandian Lakshmanan | Catalysis | Best Researcher Award

Associate Professor at Tagore Engineering College, Chennai, India

Dr. P. Lakshmanan is a catalysis researcher with extensive experience in the synthesis and application of metal and alloy nanoparticles supported on metal oxides, porous carbons, and carbon nitride-based catalysts. His work focuses on developing innovative catalytic materials for hydrogen production, pollutant degradation, biomass valorization, and energy storage applications. With a proven track record of impactful research and international collaborations in Korea, Dr. Lakshmanan is a recognized contributor to the fields of heterogeneous catalysis, photocatalysis, and electrocatalysis.

Publication Profile

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Educational Details

  • PhD in Catalysis – Specialized in Metal/Alloy Nanoparticles and Metal Oxide Supported Catalysts
  • Research Training and Fellowships: Korea Institute of Chemical Technology (KRICT), Daejeon, Korea; Ajou University, Suwon, Korea; Inha University, Incheon, Korea

Professional Experience

Dr. P. Lakshmanan is currently serving as an Assistant Professor in the Department of Chemistry at Tagore Engineering College, Chennai, India, since July 2024. He previously held an Assistant Professorship at Kalasalingam University, India, from December 2016 to January 2023. Dr. Lakshmanan gained extensive international postdoctoral research experience at Inha University, Incheon, Korea (2023-2024), Ajou University, Suwon, Korea (2013-2015), and KRICT-Daejeon, Korea (2011-2012). His diverse academic and research background spans the synthesis, characterization, and catalytic application of advanced nanomaterials and supported catalysts.

Research Interest

  • Development of Nano-catalysts for Heterogeneous Catalysis
  • Photocatalysis and Electrocatalysis
  • Energy Materials for Hydrogen Generation and Supercapacitor Applications
  • Biomass Valorization and Green Chemistry
  • Plasmonic and Single-Atom Catalysis

Top Noted Publication

Alumina surface modified with graphitic carbon nitride: Synthesis, characterization and its application as photocatalyst

  • Authors: V Saravanan, P Lakshmanan, C Ramalingan
  • Journal: Diamond and Related Materials, Volume 114, Article 108291 (2021)
  • Citations: 14
  • Summary: This paper focuses on the synthesis and characterization of alumina (Al₂O₃) surface modified with graphitic carbon nitride (g-C₃N₄). The composite material was evaluated for its photocatalytic performance. The surface modification was aimed at enhancing light absorption, charge separation, and photocatalytic degradation efficiency under visible light irradiation.

Investigations on effect of graphitic carbon nitride loading on the properties and electrochemical performance of g-C3N4/TiO2 nanocomposites for energy storage device applications

  • Authors: R Ranjithkumar, P Lakshmanan, P Devendran, N Nallamuthu, A Arivarasan
  • Journal: Materials Science in Semiconductor Processing, Volume 121, Article 105328 (2021)
  • Citations: 61
  • Summary: This research explores the structural, morphological, and electrochemical properties of g-C₃N₄/TiO₂ nanocomposites with varying g-C₃N₄ loadings. The study investigates their suitability as electrode materials for energy storage devices. Enhanced electrochemical performance was achieved due to improved conductivity and synergistic effects between g-C₃N₄ and TiO₂.

Investigations and fabrication of Ni(OH)2 encapsulated carbon nanotubes nanocomposites based asymmetrical hybrid electrochemical supercapacitor

  • Authors: R Ranjithkumar, S E Arasi, P Devendran, N Nallamuthu, P Lakshmanan, A Arivarasan
  • Journal: Journal of Energy Storage, Volume 32, Article 101934 (2020)
  • Citations: 32
  • Summary: This paper presents the synthesis and electrochemical evaluation of Ni(OH)₂ encapsulated carbon nanotube (CNT) nanocomposites as electrode materials for asymmetric hybrid supercapacitors. The composite exhibited high specific capacitance and improved energy density, attributed to the synergistic effect between CNTs and Ni(OH)₂.

Investigations on structural, morphological and electrochemical properties of Co(OH)2 nanosheets embedded carbon nanotubes for supercapacitor applications

  • Authors: R Ranjithkumar, S E Arasi, P Devendran, N Nallamuthu, A Arivarasan, P Lakshmanan
  • Journal: Diamond and Related Materials, Volume 110, Article 108120 (2020)
  • Citations: 20
  • Summary: The study investigates the synthesis of Co(OH)₂ nanosheets embedded onto carbon nanotubes and their application as electrode materials for supercapacitors. The resulting composite exhibited high capacitance and superior charge storage capacity due to increased surface area and better electron conductivity.

Investigation and fabrication of asymmetrical supercapacitor using nanostructured Mn3O4 immobilized carbon nanotube composite

  • Authors: R Ranjithkumar, S E Arasi, N Nallamuthu, P Devendran, P Lakshmanan, A Arivarasan
  • Journal: Superlattices and Microstructures, Volume 138, Article 106380 (2020)
  • Citations: 42
  • Summary: This paper focuses on the development of an asymmetrical supercapacitor using nanostructured Mn₃O₄ immobilized on carbon nanotubes. The composite demonstrated excellent electrochemical properties, high specific capacitance, and long cycling stability, making it suitable for energy storage applications.

Conclusion:

Assoc. Prof. Dr. Pandian Lakshmanan is a strong candidate for the Best Researcher Award, particularly in the fields of catalysis, nanomaterials, and energy storage. His international research experience, impactful publications, and contributions to emerging areas like hydrogen generation and supercapacitors make him a noteworthy contender. Strengthening his grant portfolio, publishing in top-tier journals, and expanding his industrial collaborations would further solidify his position as a leading researcher in his field.

 

 

Sushant Yadav | Mathematical Modeling | Best Researcher Award

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Mr. Sushant Yadav | Mathematical Modeling | Best Researcher Award

Senior Research Fellow at Malaviya National Institute of Technology Jaipur, India

Mr. Sushant Yadav is a Ph.D. scholar in Mathematics at MNIT Jaipur, with a strong academic foundation from MNNIT Allahabad and the University of Delhi. His research revolves around Spiking Neural Networks, biologically inspired neural models, and their applications in AI and healthcare. With a passion for mathematical innovation in artificial intelligence, Sushant has contributed to notable publications in reputed journals and conferences. He possesses comprehensive skills in scientific computing, programming, and data analysis, making him a versatile researcher in the evolving field of computational mathematics and AI.

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Educational Details

  • Doctor of Philosophy in Mathematics (2021 – Present)
    Malaviya National Institute of Technology (MNIT), Jaipur, India
    CGPA: 8.67/10.00
  • Master of Science in Mathematics and Scientific Computing (2018 – 2020)
    Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India
    CGPA: 7.05/10.00
  • Bachelor of Science (Hons.) in Mathematics (2015 – 2018)
    University of Delhi (DU), India
    CGPA: 6.7/10.00

Professional Experience

Mr. Sushant Yadav is a dedicated researcher and academic in the field of Applied Mathematics and Artificial Intelligence. He is currently pursuing his Ph.D. in Mathematics at MNIT Jaipur, where his research focuses on the intersection of Spiking Neural Networks (SNN) and biologically inspired computational models. Throughout his doctoral studies, he has actively contributed to cutting-edge research involving neuron models, plasticity mechanisms, and machine learning applications in healthcare and biological systems. His work involves developing new mathematical models and computational techniques to enhance AI systems’ performance and adaptability. With strong programming skills in Python, C/C++, and expertise in frameworks such as PyTorch, TensorFlow, and SnnTorch, he aims to bridge the gap between theoretical mathematics and AI applications.

Research Interest

  • Spiking Neural Networks (SNN)
  • Neuromorphic Computing
  • Artificial Intelligence and Machine Learning
  • Biologically Inspired Computation
  • Mathematical Modeling in Computational Neuroscience
  • Application of Machine Learning in Healthcare

Top Noted Publication

1. Comparative Analysis of Biological Spiking Neuron Models for Classification Task

  • Authors: S. Yadav, S. Chaudhary, R. Kumar
  • Conference: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
  • Publisher: IEEE
  • Pages: 1-6
  • Date: July 2023
  • DOI: https://doi.org/10.1109/ICCCNT57981.2023.10245626
  • Summary:
    This paper presents a comparative evaluation of various biological spiking neuron models with respect to their effectiveness in solving classification tasks. It focuses on models such as Leaky Integrate-and-Fire (LIF), Izhikevich, and Hodgkin-Huxley neurons, assessing their performance on benchmark datasets. The study provides insight into the suitability of each model for machine learning applications based on accuracy and computational efficiency.

2. Consciousness Driven Spike Timing Dependent Plasticity

  • Authors: S. Yadav, S. Chaudhary, R. Kumar
  • Journal: Expert Systems with Applications (Elsevier)
  • DOI: https://doi.org/10.1016/j.eswa.2025.126490
  • Preprint: arXiv preprint arXiv:2405.04546
  • Publication Year: 2024
  • Summary:
    This paper introduces a novel approach integrating consciousness-like behavior into the Spike Timing Dependent Plasticity (STDP) learning rule. The proposed mechanism enhances synaptic adaptability by incorporating contextual and attention-based weight adjustments, leading to improved learning outcomes in spiking neural networks (SNNs). The study demonstrates the effectiveness of this approach in enhancing performance in classification and pattern recognition tasks.

3. Machine Learning-Based Recognition of White Blood Cells in Juvenile Visayan Warty Pigs

  • Authors: S. Saxena, S. Yadav, B. Singh, R. Kumar, S. Chaudhary
  • Conference: 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
  • Publisher: IEEE
  • Date: December 2023
  • Summary:
    This research proposes a machine learning framework for the automated recognition and classification of White Blood Cells (WBCs) in juvenile Visayan Warty Pigs, a rare and endangered species. The system employs image processing and supervised learning algorithms to enhance diagnostic accuracy and aid veterinarians in wildlife health monitoring.

4. Deep Learning Solutions for WBC Classification in Juvenile Visayan Warty Pigs

  • Authors: S. Saxena, S. Yadav, B. Singh, R. Kumar, S. Chaudhary
  • Conference: 2023 IEEE Engineering Informatics
  • Publisher: IEEE
  • Pages: 1-6
  • Date: November 2023
  • Summary:
    This paper presents a deep learning-based approach leveraging Convolutional Neural Networks (CNNs) to classify White Blood Cells in juvenile Visayan Warty Pigs. The study demonstrates improved classification accuracy compared to traditional image processing techniques, showcasing the potential of deep learning in veterinary diagnostics and wildlife conservation.

Conclusion:

Mr. Sushant Yadav is a highly promising researcher with a robust foundation in mathematical modeling, spiking neural networks, and biologically inspired AI. His research contributions, particularly his innovative work on STDP and white blood cell classification using machine learning, position him as a deserving candidate for the Best Researcher Award. While his profile is strong, further enhancing his publication impact, international collaborations, and real-world implementations would elevate his standing in the global research community.

 

 

Ahmad Ruhan Ali | Photocatalysis | Best Researcher Award

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Mr. Ahmad Ruhan Ali | Photocatalysis | Best Researcher Award

Ahmad Ruhan Ali at University of Gujrat, Pakistan

Ahmad Ruhan Ali is a dedicated physicist and researcher specializing in nanomaterials for environmental remediation and energy storage. He earned his BS and MPhil degrees in Physics from the University of Gujrat, Pakistan, where he was recognized as a Gold Medalist. With extensive experience in teaching and research, Ahmad has contributed significantly to the field of photocatalysis and supercapacitors through his innovative work on composite nanostructures.

Publication Profile

Scopus

Educational Details

  • Bachelor of Science in Physics: Ahmad Ruhan Ali completed his BS in Physics at the University of Gujrat, Pakistan, from September 2018 to August 2022, graduating with a CGPA of 3.83 and receiving a Gold Medal for his outstanding performance. His thesis focused on the “Synthesis and Characterization of Bi₂WO₆/TiS₂ Composite Photocatalysts for Dye Degradation.”

  • Master of Philosophy in Physics: He pursued his MPhil in Physics at the University of Gujrat from November 2022 to September 2024, achieving a CGPA of 3.96. His research thesis was titled “To Study the Synergetic Impact of Bi₂WO₆ and Molybdenum-Based MXene Composites for Enhanced Photocatalytic Degradation of Organic Dyes.”

Professional Experience

  • Physics Lecturer at Aspire College Gujrat: From April 16, 2021, to March 9, 2023, Ahmad served as a Physics Lecturer at Aspire College in Gujrat, Pakistan, where he was responsible for teaching undergraduate physics courses and mentoring students.

  • Physics Lecturer at Nayyab Academy, Wazirabad: Since January 1, 2019, he has been imparting physics education at Nayyab Academy in Wazirabad, Punjab, Pakistan, focusing on curriculum development and student assessment.

  • Science Teacher at The Educators School, Wazirabad: Starting from September 19, 2024, Ahmad took on the role of Science Teacher at The Educators School in Wazirabad, where he teaches various science subjects to secondary school students.

Research Interest

  • Photocatalytic degradation of organic pollutants in wastewater.

  • Design and development of nanocomposites for enhanced hydrogen production.

  • Investigation of energy storage capabilities of composite nanostructures.

Author Metric:

  • Bi2WO6/TiS2 composite for methylene blue dye degradation under visible light (2024).
  • BiVO4/TiS2 composite for Rhodamine B dye degradation under visible light (2024).
  • Bi2WO6 and TiS2 composite nanostructures for supercapacitor energy storage (2024).
  • Nb2O5/TiS2 composite for Rhodamine B degradation, hydrogen production, and stability assessment (2025).
  • Cd and Co co-doped Bi2WO6 for methyl orange degradation, hydrogen production, and stability assessment (2024).
  • BiVO4/TiS2 composite for water treatment and hydrogen production (2024).

Top Noted Publication

“A Novel Composite (Bi₂WO₆/TiS₂) Presenting an Excellent Z-Scheme Photocatalytic Degradation for Methylene Blue Dye Under Visible Light Irradiation.”

  • Authors: Muhammad Tanveer, Ahmad Ruhan Ali, Muhammad Abdul Qadeer, Ghulam Nabi.
  • Published in: June 2024.
  • Summary: This study introduces a novel Bi₂WO₆/TiS₂ composite that demonstrates superior photocatalytic activity in degrading methylene blue dye under visible light, attributed to its efficient Z-scheme mechanism.

“A Novel Composite (BiVO₄/TiS₂) Presenting an Excellent Z-Scheme Photocatalytic Degradation for Rhodamine B Dye Under Visible Light Irradiation.”

  • Authors: Muhammad Tanveer, Husnain Haider Cheema, Ghulam Nabi, Ahmad Ruhan Ali, Muhammad Abdul Qadeer.
  • Published in: July 2024.
  • Summary: The research presents a BiVO₄/TiS₂ composite with enhanced photocatalytic performance for degrading Rhodamine B dye, highlighting its potential for wastewater treatment applications.

“Bi₂WO₆ and TiS₂ Composite Nanostructures Displaying Synergetic Boosted Energy Storage in Supercapacitor.”

  • Authors: Muhammad Abdul Qadeer, Ahmad Ruhan Ali, Muhammad Tanveer, Abdelhamid Abdelwanes Sakr.
  • Published in: August 2024.
  • Summary: This paper explores the development of Bi₂WO₆/TiS₂ composite nanostructures that exhibit enhanced energy storage capabilities, making them promising candidates for supercapacitor applications.

“Sun-Light-Driven Photocatalytic Annihilation of Methyl Orange Degradation, Hydrogen Production, and Stability Assessment via Conventional Hydrothermal Preparation of Novel Cd and Co Co-Doped Bi₂WO₆.”

  • Authors: M.A. Qadeer, Ahmad Ruhan Ali, Muhammad Tanveer, Safeera Yasmeen, Ghulam Nabi, Muhammad Tahir.
  • Published in: November 2024.
  • Summary: The study investigates a novel Cd and Co co-doped Bi₂WO₆ photocatalyst that effectively degrades Methyl Orange dye and facilitates hydrogen production under sunlight irradiation.

“Sun-Light-Driven Z-Scheme Photocatalytic Annihilation of Rhodamine B, Hydrogen Production, and Stability Assessment via Facile Hydrothermal Preparation of Novel Nanocomposite Nb₂O₅/TiS₂.”

  • Authors: Muhammad Tanveer, M.A. Qadeer, Ahmad Ruhan Ali, Jineetkumar Gawad, Husnain Haider Cheema, Safeera Yasmeen, Abdulaziz Bentalib, Muhammad Tahir.
  • Published in: February 2025.
  • Summary: This research introduces an Nb₂O₅/TiS₂ nanocomposite with a Z-scheme mechanism, demonstrating efficient photocatalytic degradation of Rhodamine B dye and hydrogen production under sunlight.

Conclusion:

Mr. Ahmad Ruhan Ali is a highly promising researcher with a strong academic record, impactful research in photocatalysis and energy storage, and multiple recent publications in emerging fields. His work directly addresses environmental sustainability and renewable energy challenges, aligning well with global research priorities.

While he is already a strong candidate for the Best Researcher Award, further international collaboration, publication in top-tier journals, and securing research funding can further solidify his standing as a leading researcher in his field.

 

 

Isobel French | Cognitive Neuroscience | Best Researcher Award

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Ms. Isobel French | Cognitive Neuroscience | Best Researcher Award

Postgraduate researcher at National Central University, Taiwan

Ms. Isobel French is a Ph.D. candidate in Interdisciplinary Neuroscience, majoring in Cognitive Neuroscience at the National Central University and Academia Sinica, Taiwan. She holds a Master’s in Medical Science from the University of Malaya and a Bachelor’s in Biomedical Science from Management and Science University, Malaysia. Her research focuses on the neural mechanisms underlying Parkinson’s Disease and other neurodegenerative conditions, utilizing EEG and advanced analytical methods to develop early biomarkers for clinical diagnostics.

Publication Profile

Scopus

Orcid

Educational Details

  • BSc (Hons) in Biomedical Science, Management and Science University (MSU), Malaysia; CGPA: 3.26 (May 2008 – Jul 2012).
  • Master’s in Medical Science (Distinction), University of Malaya (UM), Malaysia; CGPA: 3.75 (Nov 2015 – Dec 2017, awarded Feb 2019).
  • Ph.D. Candidate in Interdisciplinary Neuroscience (major in Cognitive Neuroscience), Visual Cognitive Laboratory, Institute of Cognitive Neuroscience, National Central University & Academia Sinica, Taiwan (Sep 2020 – expected Jun 2025).

Professional Experience

Ms. Isobel French is a Ph.D. candidate and researcher at the Visual Cognitive Laboratory, Institute of Cognitive Neuroscience, National Central University and Academia Sinica, Taiwan. She is involved in interdisciplinary research focusing on cognitive neuroscience, neurodegenerative diseases, and advanced EEG analysis techniques. She has received training and internships under the guidance of academic professionals and neurosurgeons across Malaysia and Taiwan. Her work aims to bridge neuroscience and clinical applications, especially in neurodegenerative disease diagnosis and progression assessment.

Research Interest

  • Cognitive neuroscience
  • Neurodegenerative disorders (Parkinson’s Disease and Alzheimer’s Disease)
  • Brain imaging techniques (EEG, Diffusion Tensor Imaging, Tractography)
  • Nonlinear analytical methods (Holo-Hilbert Spectral Analysis)
  • Biomarkers for neurological diseases

Author Metric:

  • Publications in peer-reviewed journals: 6
  • Research focus: Parkinson’s Disease, Alzheimer’s Disease, Cognitive Neuroscience
  • Collaborations with international research teams
  • Published in high-impact journals including Frontiers in Aging Neuroscience, Movement Disorders, and NeuroImage: Reports

Top Noted Publication

  • French, I.T., & Muthusamy, K.A. (2016). A review of sleep and its disorders in patients with Parkinson’s disease in relation to various brain structures. Frontiers in Aging Neuroscience, 8, Article 114. https://doi.org/10.3389/fnagi.2016.00114

  • French, I.T., & Muthusamy, K.A. (2018). A review of the pedunculopontine nucleus in Parkinson’s disease. Frontiers in Aging Neuroscience, 10, Article 99. https://doi.org/10.3389/fnagi.2018.00099

  • Chang, K.H., French, I.T., Liang, W.K., Lo, Y.S., Wang, Y.R., Cheng, M.L., & Juan, C.H. (2022). Evaluating the different stages of Parkinson’s disease using electroencephalography with Holo-Hilbert spectral analysis. Frontiers in Aging Neuroscience, 14, 832637. https://doi.org/10.3389/fnagi.2022.832637

  • Chu, K.T., Lei, W.C., Wu, M.H., Fuh, J.L., Wang, S.J., French, I.T., & Juan, C.H. (2023). A holo-spectral EEG analysis provides early detection of cognitive decline and predicts the progression to Alzheimer’s disease. Frontiers in Aging Neuroscience, 15. https://doi.org/10.3389/fnagi.2023.1163472

  • Lee, C.H., Juan, C.H., Chen, H.H., Hong, J.P., Liao, T.W., French, I.T., & Chang, K.H. (2024). Long‐range temporal correlations in electroencephalography for Parkinson’s disease progression. Movement Disorders. https://doi.org/10.1002/mds.30052

Conclusion

Ms. Isobel French is a highly suitable candidate for the Best Researcher Award, particularly in Cognitive Neuroscience and Neurodegenerative Disease Research. Her cutting-edge work in EEG biomarkers and disease progression analysis places her at the forefront of this critical research area. While she would benefit from increased leadership roles and grant achievements, her research quality, technical innovation, and translational potential make her a compelling nominee.

 

 

Muhammad Asim | Electrocatalysis | Best Researcher Award

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Mr. Muhammad Asim | Electrocatalysis | Best Researcher Award

Ph.D Research Scholar at Quaid-i-Azam University Islamabad, Pakistan

Muhammad Asim is a Ph.D. Research Scholar in Physical Chemistry at Pavol Jozef Šafárik University, Slovakia, and Quaid-i-Azam University, Pakistan. He has conducted collaborative research at Ataturk University, Turkiye. His research focuses on the synthesis and electrochemical characterization of high entropy oxides and other nanomaterials for energy storage and conversion applications. He has published multiple research articles in high-impact journals, particularly in the fields of electrocatalysis and batteries.

Publication Profile

Scopus

Orcid

Educational Details

  • Ph.D. Research Scholar in Physical Chemistry (Current), Pavol Jozef Šafárik University, Košice, Slovakia. Field: Chemistry; Electrocatalysis. Thesis: High Entropy Oxides (HEOs) as Electrode Materials in Li-S and Li-ion Batteries. Focus: Electrode modification for Li-S battery, Electrochemical Measurements (OCV, EIS, CV, GCD).
  • Ph.D. in Physical Chemistry (Current), Quaid-i-Azam University, Islamabad, Pakistan. Final Grade: 3.8/4.0 (Coursework). Thesis: Microwave Assisted Synthesis of High Entropy Oxides for Energy Applications.
  • Ph.D. Research Scholar in Chemical Engineering Faculty (2023-2024), Ataturk University, Erzurum, Turkiye. Focus: Microwave Irradiation Synthesis of High Entropy Oxides; Electrochemical Applications for OER and ORR.
  • M.Phil. in Physical Chemistry (2018-2021), Quaid-i-Azam University, Islamabad, Pakistan. Final Grade: 3.9/4.0. Thesis: Facile Sol-gel Synthesis of High Entropy Oxides for Electrocatalytic Water Oxidation.
  • B.S. (Hons) in Chemistry (2014-2018), University of Wah, Wah Cantt, Pakistan. Final Grade: 3.59/4.0. Specialization in Physical Chemistry.

Professional Experience

  • Lecturer Chemistry (Visiting), Department of Chemistry, UCP, Quaid Campus, Rawalpindi (2021-2022). Delivered courses in Quantum Chemistry, Molecular Spectroscopy, Colloid and Surface Chemistry; Supervised 15 undergraduate research projects.
  • Lecturer Chemistry (Visiting), Department of Electrical Engineering, Wah Engineering College (Spring 2021). Focused on Applied Chemistry in Electrical Engineering, OBE outlines, assignments, and evaluations.
  • Lecturer Chemistry (Visiting), Department of Mechanical Engineering, Wah Engineering College (Fall 2020). Delivered course content in Applied Chemistry, focusing on mechanical engineering applications.
  • Internship at Pakistan Ordnance Factories (2018). Observed plant operations and material testing for explosives production.

Research Interest

  • High Entropy Oxides for Energy Applications.
  • Electrocatalysis (Oxygen Evolution Reaction, Oxygen Reduction Reaction, Methanol Electro-Oxidation).
  • Microwave-Assisted Synthesis of Nanomaterials.
  • Lithium-Sulfur and Lithium-Ion Batteries.

Top Noted Publication

1. Catalytic Application of Copper-Doped Barium Cerate Nanoparticles as Anode Material for Robust Methanol Electro-Oxidation

  • Journal: International Journal of Hydrogen Energy
  • Publication Date: February 2025
  • DOI: 10.1016/j.ijhydene.2025.01.013
  • Authors: Mehrosh Islam, Akbar Hussain, Muhammad Asim, Asadullah Dawood, Naveed Kausar Janjua

2. Unveiling the Potential of Rock-Salt Type High Entropy Oxides Synthesized by Green Microwave Irradiation Method for Excellent Oxygen Evolution Reaction

  • Journal: Journal of Alloys and Compounds
  • Publication Date: February 2025
  • DOI: 10.1016/j.jallcom.2025.178967
  • Authors: Muhammad Asim, Akbar Hussain, Sadia Kanwal, Meryem Samancı, Ayşe Bayrakçeken, Andrea Straková Fedorková, Naveed Kausar Janjua

3. Microwave-Assisted Synthesis of CuxFe100−x/Carbon Aerogel (x = 0, 30, 50, 70) with Enhanced Electrocatalytic Activity Towards Oxygen Evolution Reaction

  • Journal: Journal of Electroanalytical Chemistry
  • Publication Date: January 2025
  • DOI: 10.1016/j.jelechem.2024.118811
  • Authors: Meryem Samancı, Muhammad Asim, Akbar Hussain, Naveed Kausar Janjua, Ayşe Bayrakçeken

4. Rapid Microwave Synthesis of Medium and High Entropy Oxides for Outstanding Oxygen Evolution Reaction Performance

  • Journal: Materials Advances
  • Publication Date: 2024
  • DOI: 10.1039/D4MA00667D
  • Authors: Muhammad Asim, Akbar Hussain, Sadia Kanwal, Awais Ahmad, Yasemin Aykut, Ayşe Bayrakçeken, Naveed Kausar Janjua

5. Oxygen Evolution Reaction Activity of Carbon Aerogel Supported Pd–Ni–Al Catalysts Synthesized by Microwave Irradiation Method

  • Journal: International Journal of Hydrogen Energy
  • Publication Date: September 2024
  • DOI: 10.1016/j.ijhydene.2024.07.287
  • Authors: Akbar Hussain, Muhammad Asim, Meryem Samancı, Naveed Kausar Janjua, Ayşe Bayrakçeken

Conclusion

Mr. Muhammad Asim is a highly promising early-career researcher with a strong publication record, international research collaborations, and expertise in electrocatalysis and energy storage materials. His work on High Entropy Oxides and microwave-assisted synthesis stands out as both innovative and relevant to sustainable energy solutions.

While his citation impact and leadership roles may still be developing, his technical contributions and growing research trajectory position him as a strong candidate for the Best Researcher Award, especially in the category of emerging researchers or early-career scientists.