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 โ€“ 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 (Alโ‚‚Oโ‚ƒ) surface modified with graphitic carbon nitride (g-Cโ‚ƒNโ‚„). 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-Cโ‚ƒNโ‚„/TiOโ‚‚ nanocomposites with varying g-Cโ‚ƒNโ‚„ 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-Cโ‚ƒNโ‚„ and TiOโ‚‚.

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)โ‚‚ 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)โ‚‚.

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)โ‚‚ 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 Mnโ‚ƒOโ‚„ 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.

Publication Profile

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Educational Details

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

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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 Biโ‚‚WOโ‚†/TiSโ‚‚ 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 Biโ‚‚WOโ‚† 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 (Biโ‚‚WOโ‚†/TiSโ‚‚) 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 Biโ‚‚WOโ‚†/TiSโ‚‚ composite that demonstrates superior photocatalytic activity in degrading methylene blue dye under visible light, attributed to its efficient Z-scheme mechanism.

“A Novel Composite (BiVOโ‚„/TiSโ‚‚) 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 BiVOโ‚„/TiSโ‚‚ composite with enhanced photocatalytic performance for degrading Rhodamine B dye, highlighting its potential for wastewater treatment applications.

“Biโ‚‚WOโ‚† and TiSโ‚‚ 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 Biโ‚‚WOโ‚†/TiSโ‚‚ 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 Biโ‚‚WOโ‚†.”

  • 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 Biโ‚‚WOโ‚† 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 Nbโ‚‚Oโ‚…/TiSโ‚‚.”

  • 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 Nbโ‚‚Oโ‚…/TiSโ‚‚ 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 Masterโ€™s in Medical Science from the University of Malaya and a Bachelorโ€™s in Biomedical Science from Management and Science University, Malaysia. Her research focuses on the neural mechanisms underlying Parkinsonโ€™s Disease and other neurodegenerative conditions, utilizing EEG and advanced analytical methods to develop early biomarkers for clinical diagnostics.

Publication Profile

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Educational Details

  • BSc (Hons) in Biomedical Science, Management and Science University (MSU), Malaysia; CGPA: 3.26 (May 2008 โ€“ Jul 2012).
  • Masterโ€™s in Medical Science (Distinction), University of Malaya (UM), Malaysia; CGPA: 3.75 (Nov 2015 โ€“ 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 โ€“ 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 (Parkinsonโ€™s Disease and Alzheimerโ€™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: Parkinsonโ€™s Disease, Alzheimerโ€™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 Parkinsonโ€™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 Parkinsonโ€™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 Parkinsonโ€™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 Alzheimerโ€™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). Longโ€range temporal correlations in electroencephalography for Parkinsonโ€™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 ล afรกrik 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

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Educational Details

  • Ph.D. Research Scholar in Physical Chemistry (Current), Pavol Jozef ล afรกrik University, Koลกice, 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 Samancฤฑ, AyลŸe Bayrakรงeken, Andrea Strakovรก Fedorkovรก, Naveed Kausar Janjua

3. Microwave-Assisted Synthesis of CuxFe100โˆ’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 Samancฤฑ, Muhammad Asim, Akbar Hussain, Naveed Kausar Janjua, AyลŸe Bayrakรงeken

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, AyลŸe Bayrakรงeken, Naveed Kausar Janjua

5. Oxygen Evolution Reaction Activity of Carbon Aerogel Supported Pdโ€“Niโ€“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 Samancฤฑ, Naveed Kausar Janjua, AyลŸe Bayrakรงeken

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.

 

 

 

Neeraj Kumari | Water Treatment | Best Researcher Award

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Dr. Neeraj Kumari | Water Treatment | Best Researcher Award

Assistant Professor at K R Mangalam University, Gurugram, India

Dr. Neeraj Kumari is an Assistant Professor and researcher specializing in Inorganic Chemistry and Environmental Chemistry. She holds a Ph.D. in Analytical Chemistry with a focus on the synthesis of nanopigments from natural clay minerals. Her research interests include water purification, nano pigments, clay polymer nanocomposites, and metal oxide nanoparticles. With over 4.5 years of teaching experience, she is dedicated to both education and research, contributing significantly to curriculum development, student mentorship, and institutional development. Dr. Kumari is a member of the Indian Science Congress Association (ISCA) and the American Chemical Society (ACS).

Professional Profile

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๐ŸŽ“ Education

  • Ph.D. in Analytical Chemistry (July 2018), under the supervision of Professor Ramesh Chandra and co-supervision of Professor Monika Datta. Thesis Title: Application of Naturally Occurring Clay Minerals for the Synthesis of Nanopigments as Colorant.
  • B.Ed. (Science), Maharshi Dayanand University, Rohtak, 70.3% (2009-2010).
  • M.Sc. in Chemistry (Specialization in Inorganic Chemistry), Guru Jambheshwar Science & Technology University, Hisar, CGPA: 7.77/10 (2007-2009).
  • B.Sc. (Chemistry, Botany, Zoology), Maharshi Dayanand University, Rohtak, 58.6% (2004-2007).

๐Ÿ’ผ Experience

Dr. Neeraj Kumari is currently serving as an Assistant Professor in Inorganic Chemistry at the School of Basic and Applied Science since January 2019. With over 4.5 years of teaching experience, she has taught undergraduate and graduate courses in Inorganic Chemistry and Environmental Chemistry. She is actively engaged in academic and administrative responsibilities, including syllabus preparation, conducting evaluations, and guiding dissertation projects for B.Sc. and M.Sc. students. She serves as an external member of the Science Research Committee, NSS Coordinator, and Coordinator of the APJ Abdul Kalam Science Club. Additionally, she supervises Ph.D. students and has organized Faculty Development Programs (FDPs) and workshops on various scientific and academic topics.

๐Ÿ”ฌ Research Interests

Dr. Kumari’s research primarily focuses on water purification, nanomaterials, and clay polymer nanocomposites, with a special emphasis on nano pigments and their applications in various industries such as polymer matrices and the paint industry. Her expertise extends to the synthesis and application of metal oxide nanoparticles in diverse fields.

๐Ÿ†Fellowships & Achievements:

  • CSIR-Senior Research Fellowship (SRF): 2014-2017
  • CSIR-Junior Research Fellowship (JRF): 2012-2014
  • Dr. Upadhyayula V. Rao Memorial Award for Best Oral Presentation, Annual Convention of Chemists (2017).
  • Professor V. Panda Rango Rao Award for Best Oral Presentation, Annual Convention of Chemists (2015).
  • Qualified CSIR-JRF (Chemical Science), December 2011.
  • Qualified CSIR-UGC NET (Chemical Science), June 2011.

Author Metrics:

  • Research publications in the area of nano pigments, clay polymer nanocomposites, and metal oxide nanoparticles.
  • Oral presentations in national and international conferences.
  • Ongoing supervision of Ph.D. students in materials chemistry and nanotechnology.

๐Ÿ“š Top Noted Publicationsย 

  • Basics of Clay Minerals and Their Characteristics Properties
    Authors: N. Kumari, M. Chandra
    Journal: Clay and Clay Minerals
    Citations: 371 (as of latest data)
    Year: 2021

  • Sustainable Development Goals for Addressing Environmental Challenges
    Authors: N. Mohan, C. Robinson, J. Vodwal, N. Kumari
    Book Chapter: Green Chemistry Approaches to Environmental Sustainability, pp. 367-374
    Citations: 26* (as of latest data)
    Year: 2023
    Publisher: Springer

  • Synthesis, Characterization and Antibacterial Activity of Semicarbazide Based Schiff Bases and Their Pb (II), Zr (IV) and U (VI) Complexes
    Authors: C. Mohan, V. Kumar, N. Kumari, S. Kumari, J. Yadav, T. Gandass, S. Yadav
    Journal: Advances in Journal of Chemistry – Section B
    Volume: 2
    Pages: 187-196
    Citations: 26 (as of latest data)
    Year: 2020

  • An Investigative Study on the Structural, Thermal and Mechanical Properties of Clay-Based PVC Polymer Composite Films
    Authors: N. Kumari, C. Mohan, A. Negi
    Journal: Polymers
    Volume: 15, Issue 8
    Article Number: 1922
    Citations: 22 (as of latest data)
    Year: 2023
    Publisher: MDPI

  • Synthesis of Acid Activated and Silicotungstic Acid (STA) Intercalated Montmorillonite Clay as Green Catalyst
    Authors: C. Mohan, N. Kumari
    Journal: Materials Today: Proceedings
    Volume: 56, Issue 2
    Pages: 971-975
    Citations: 13* (as of latest data)
    Year: 2022
    Publisher: Elsevier

Conclusion

Dr. Neeraj Kumari is a highly suitable candidate for the Best Researcher Award, especially given her impactful contributions to water purification, clay nanocomposites, and sustainable chemistry. Her research output, academic leadership, and recognition through fellowships and awards position her as a rising figure in materials and environmental chemistry.

With greater industry engagement, grant acquisitions, and further publications in top-tier journals, she is likely to become a leading authority in her field. Therefore, she deserves serious consideration for the award.

Pratham Sunkad | Scientific Machine Learning | Best Researcher Award

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Mr. Pratham Sunkad | Scientific Machine Learning | Best Researcher Awardย 

Mr. Pratham Sunkad, at IIT Madras, India.

Pratham Sunkad is an aspiring mechanical engineer and AI researcher from the Indian Institute of Technology, Madras (IIT Madras). With a strong foundation in computational mechanics and artificial intelligence, he has worked on cutting-edge projects in Variational Physics-Informed Neural Networks (VPINNs), numerical mathematics, and fluid-structure interaction. His interdisciplinary approach combines machine learning with computational physics to solve real-world problems. He has interned at American Express, the Indian Institute of Science (IISc), and Weierstrass Institute, Berlin, contributing to AI-driven optimization and scientific computing. Passionate about physics, engineering, and artificial intelligence, Pratham is actively involved in research that bridges machine learning with classical numerical methods. He has published in reputed journals and arXiv preprints, making significant contributions to computational science. Beyond academics, he enjoys music, sports, and mentoring underprivileged students for JEE Advanced.

Professional Profile

ORCID

๐ŸŽ“ Education

Pratham is currently pursuing a B.Tech in Mechanical Engineering with a Minor in Artificial Intelligence at IIT Madras (2021โ€“2025), maintaining an impressive CGPA of 8.67/10. He completed his Class XII (96.2%) at National Public School, Rajajinagar, Bangalore, excelling in Mathematics and Computer Science. His coursework spans diverse fields, including heat transfer, fluid mechanics, machine learning, finite element analysis, and computational fluid dynamics.

Throughout his academic journey, he has displayed a strong aptitude for multivariable calculus, probability & statistics, differential equations, and deep learning techniques. His technical expertise includes programming languages such as Python, C++, C, Java, SQL, and MATLAB, along with proficiency in TensorFlow, PyTorch, NumPy, and Scikit-learn. His rigorous academic training, complemented by hands-on research, has prepared him to tackle interdisciplinary engineering and AI challenges.

๐Ÿ’ผ Experience

Pratham has gained valuable industry and research experience through internships at leading institutions:

  • ๐Ÿ”น Data Analyst Intern, American Express (Mayโ€“July 2024): Optimized merchant outreach strategies using predictive analytics and machine learning. Developed algorithms to identify high-risk cases for email engagement.
  • ๐Ÿ”น Research Intern, AiREX LAB, IISc Bangalore (Dec 2023โ€“Dec 2024): Worked on Variational Physics-Informed Neural Networks (VPINNs), integrating finite elements with machine learning for scientific computing.
  • ๐Ÿ”น Research Intern, Weierstrass Institute, Berlin (Aprilโ€“Dec 2024): Implemented Streamline-Upwind Petrov-Galerkin (SUPG) methods to enhance VPINNs for convection-dominated problems. Developed an adaptive indicator function to improve accuracy.

These experiences have strengthened his skills in computational data science, numerical mathematics, AI-driven modeling, and scientific computing.

๐Ÿ”ฌ Research Interests

Prathamโ€™s research focuses on combining machine learning with numerical methods to solve complex engineering problems. His key interests include:

  • โšก Physics-Informed Neural Networks (PINNs) & VPINNs โ€“ Bridging finite element methods with deep learning for better physical modeling.
  • ๐ŸŒŠ Computational Fluid Dynamics (CFD) & Fluid-Structure Interaction (FSI) โ€“ Using advanced numerical methods like Lattice Boltzmann to model fluid mechanics problems.
  • ๐Ÿง  Deep Learning & AI for Engineering Applications โ€“ Applying deep learning models to optimize structural and fluid simulations.
  • ๐Ÿ” Optimization & Uncertainty Quantification โ€“ Studying how machine learning can improve accuracy in numerical simulations.

His projects on medical image segmentation, wavelet-based PDE solvers, and reinforcement learning further extend his expertise in AI-driven scientific computing.

๐Ÿ† Awards & Achievements

Pratham has received multiple national-level accolades, highlighting his academic excellence:

  • ๐Ÿฅ‡ JEE Advanced (2021): AIR 1866 among 1M+ candidates.
  • ๐Ÿฅˆ JEE Mains (2021): AIR 1548 and 100 percentile in Physics among 1M+ candidates.
  • ๐Ÿฅ‰ KVPY Fellowship (2020): AIR 1227, among the top 0.6% of candidates.
  • ๐Ÿ… INPhO Finalist: Ranked among the top 200 students in the Indian National Physics Olympiad.
  • ๐ŸŽต Trinity College London โ€“ Grade 6 Piano (Distinction).
  • ๐Ÿฅ‹ Black Belt (Dan 1) in Karate from Kaishogun Karate Do India.

These achievements underscore his proficiency in competitive problem-solving, scientific research, and extracurricular excellence.

๐Ÿ“š Top Noted Publicationsย 

Pratham has co-authored high-impact research papers in AI-driven scientific computing.

1. Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems

Authors: Thivin Anandh, Divij Ghose, Himanshu Jain, Pratham Sunkad, Sashikumaar Ganesan, Volker John

This paper proposes two significant enhancements to the FastVPINNs framework for tackling convection-dominated convection-diffusion-reaction problems:

  • SUPG Stabilization Term: Incorporation of a term inspired by Streamline Upwind/Petrov-Galerkin (SUPG) stabilization into the loss functional. The network architecture is designed to predict spatially varying stabilization parameters.

  • Adaptive Indicator Functions: Introduction of a network architecture that learns optimal parameters for a class of indicator functions, improving the enforcement of Dirichlet boundary conditions.

Numerical studies demonstrate that these enhancements lead to more accurate solutions compared to existing methods.

arXiv

2. FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries

Authors: Thivin Anandh, Divij Ghose, Himanshu Jain, Sashikumaar Ganesan

This work introduces FastVPINNs, a tensor-based advancement aimed at reducing computational overhead and improving scalability of hp-VPINNs, especially in complex geometries. Key features include:

  • Optimized Tensor Operations: Utilization of optimized tensor operations to achieve significant reductions in training time.

  • Enhanced Performance: With appropriate hyperparameter selection, FastVPINNs outperform traditional PINNs in both speed and accuracy, particularly for problems with high-frequency solutions.

Conclusion

Pratham Sunkad is a highly promising researcher with strong academic credentials, technical expertise, and diverse research experience. His international collaborations and AI-driven physics research are notable strengths. However, to be a top contender for the Best Researcher Award, he should focus on publishing in top journals, leading independent research, and translating work into patents or industry solutions.

Badrul Hisham Yahaya | Stem cell | Best Researcher Award

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

Deputy Director, at University of Science Malaysia, Malaysia.

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

Professional Profile

Scopus

ORCID

Google Scholar

๐ŸŽ“ Education

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

๐Ÿ’ผ Work Experience

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

๐Ÿ”ฌ Research Interests

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

๐Ÿ† Awards & Recognitions

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

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

๐Ÿ“š Top Noted Publications

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

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

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

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

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

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

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

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

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

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

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

Conclusion

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

Yousry AbdulAzeem | Artificial Intelligence | Best Researcher Award

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

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

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

Publication Profile

Scopus

Google Scholar

Educational Details

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

Professional Experience

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

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

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

Research Interest

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

Top Noted Publication

“A CNN-based framework for classification of Alzheimerโ€™s disease” โ€“ Neural Computing and Applications (2021)

  • Citations: 127
  • Developed a deep learning framework for Alzheimerโ€™s disease classification using CNNs.

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

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

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

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

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

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

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

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

Conclusion

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

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

 

 

 

 

Khawar ismail | Physics | Best Researcher Award

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Dr. Khawar ismail | Physics | Best Researcher Award

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

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

Professional Profile

Google Scholar

Education ๐ŸŽ“

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

Professional Experience ๐Ÿ’ผ

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

Research Interests โš›๏ธ

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

Awards and Recognitions ๐Ÿ†

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

Top Notes Publications ๐Ÿ“š

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

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

Conclusion

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