Chitra Annamalai | Energy and Power Electronics | Women Researcher Award

Women Researcher Award

Chitra Annamalai
Vellore Institute of Technology (VIT), Vellore, India.

Chitra Annamalai
Affiliation Vellore Institute of Technology (VIT), Vellore
Country India
Research Area Energy & Power Electronics, Electric Vehicles, Multilevel Inverters, Intelligent Drives, Renewable Energy
Documents 85
Scopus Citations 425
h-index 10
Award Category Research Excellence Award
Google Scholar
View Profile
Scopus
Author Profile
Event Indian

Chitra A., popularly known as Chitra Annamalai, is an accomplished academician, researcher, and innovation leader in the field of Energy and Power Electronics.

Abstract

Chitra A. is internationally recognized for her contributions to Energy and Power Electronics, Electric Vehicle Technologies, Intelligent Motor Drives, Renewable Energy Systems, Artificial Intelligence-based Power Electronics, and Reliability Engineering.

Keywords

Energy and Power Electronics, Electric Vehicles, Multilevel Inverters, Intelligent Drives, Neural Networks, Renewable Energy, EV Chargers, Power Electronics, Reliability Engineering, Smart Grid, AI for Energy Systems, DC-DC Converters.

Introduction

Modern energy systems require efficient power electronic converters, intelligent motor control, renewable energy integration, and reliable electric vehicle technologies to meet the growing demand for sustainable transportation and green energy. Researchers working in these areas are driving innovations that improve energy efficiency, system reliability, and intelligent automation.

Research Profile

Chitra A. earned her Bachelor of Engineering in Electrical and Electronics Engineering from Government College of Engineering, Tirunelveli, where she graduated with distinction and secured a University Rank. She completed her M.Tech. in Electric Drives and Control from Pondicherry Engineering College, receiving the Gold Medal from Pondicherry University for securing first rank.

Research Work

Chitra A. has developed a distinguished research portfolio in Energy and Power Electronics with particular emphasis on electric vehicle technologies, intelligent motor drives, renewable energy integration, reliability engineering, and artificial intelligence for power electronic applications. Her investigations on multilevel inverter topologies have significantly contributed towards improving efficiency, reliability, reduced device count, and cost optimization for industrial and automotive applications.

Selected Publications

  • A Novel Reliability Estimation Methodology Towards the Design and Implementation of Symmetric Multilevel Inverter for Long Run Applications. IET Power Electronics, 2025.
  • A Novel Nonlinear Time-dependent Hazard Extended Intelligent Reliability Prediction Approach for Electric Vehicle Motor Controller. IEEE Access, 2025.

Awards & Achievements

  • National Merit Scholarship awarded by the Government of India.
  • Gold Medal from Pondicherry University for securing University First Rank in M.Tech.

Research Impact

Chitra A. has established herself as one of the leading researchers in Energy and Power Electronics through her outstanding scholarly productivity, industrial collaborations, and technological innovations. Her research output includes 85 Scopus-indexed publications, over 425 Scopus citations, and an h-index of 10, reflecting the quality and global recognition of her scientific contributions.

Award Suitability

Chitra A. is an outstanding candidate for the Research Excellence Award owing to her remarkable academic achievements, impactful scientific contributions, and consistent commitment to technological innovation. Her internationally recognized research in electric vehicles, renewable energy, intelligent drives, and power electronics has resulted in influential publications, , startup development, and successful technology commercialization. Her ability to bridge fundamental research with industrial implementation has created measurable societal and technological impact.

Conclusion

Chitra A. has made exceptional contributions to the advancement of Energy and Power Electronics through pioneering research in electric vehicles, renewable energy systems, intelligent drives, artificial intelligence applications, and power converter technologies.

References

  1. D. Krishnachaitanya, A. Chitra, Maher Al-Greer, Sitangshu Sekhar Biswas. A Novel Reliability Estimation Methodology Towards the Design and Implementation of Symmetric Multilevel Inverter for Long Run Applications. IET Power Electronics, 2025.
    DOI: 10.1049/pel2.12843
    https://doi.org/10.1049/pel2.12843
  2. N.S. Raghavendra Rao, A. Chitra, D. Krishnachaitanya, Maher Al-Greer. A Novel Nonlinear Time-Dependent Hazard Extended Intelligent Reliability Prediction Approach for Electric Vehicle Motor Controller. IEEE Access, 2025.
    DOI: 10.1109/ACCESS.2025.3540458
    https://doi.org/10.1109/ACCESS.2025.3540458

Divyansh Mishra | Artificial Intelligence and Data Science | Young Researcher Award

Young Researcher Award

Divyansh Mishra
Jabalpur Engineering College, Jabalpur, Madhya Pradesh, India

Divyansh Mishra
Affiliation Department of Artificial Intelligence & Data Science, Jabalpur Engineering College, Jabalpur
Country India
Research Area Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Computer Vision
Documents 45
Citations 231
h-index 10
Event Indian Scientist Awards
Award Category Young Researcher Award
Google Scholar
View Profile

Divyansh Mishra is an emerging researcher in the fields of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning. He completed his B.Tech. in Artificial Intelligence & Data Science from Jabalpur Engineering College with distinction and is currently pursuing research at XLRI – Xavier School of Management, Jamshedpur.

Abstract

Divyansh Mishra has rapidly emerged as a promising young researcher in Artificial Intelligence and Data Science through his multidisciplinary research, publications, books, and innovative projects.

Keywords

Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Computer Vision, Neural Networks, Robotics, Intelligent Systems, Big Data Analytics, Computer Applications, AI Ethics, Digital Innovation.

Introduction

Artificial Intelligence and Data Science have become transformative technologies that influence healthcare, education, manufacturing, transportation, agriculture, finance, and environmental sustainability. Researchers working in these domains are developing intelligent algorithms capable of solving complex real-world problems through automation and data-driven decision making.

Research Profile

Divyansh Mishra completed his Bachelor of Technology in Artificial Intelligence & Data Science from Jabalpur Engineering College with excellent academic performance and is currently pursuing advanced research at XLRI – Xavier School of Management.

Awards & Achievements

Divyansh Mishra has demonstrated exceptional academic and research excellence at an early stage of his career. He is the recipient of the M. Visvesvaraya Prize  – Young Researcher Award in the field of Artificial Intelligence and Data Science. He was also a finalist in the prestigious Smart India Hackathon  held at NITK Surathkal and has consistently secured top academic ranks throughout his school education.

Leadership & Professional Memberships

Beyond research, Divyansh Mishra actively contributes to the scientific community through professional memberships and academic engagement. He is a Life Member of the Plasma Science Society of India (PSSI), a Life Member of the Association of Asia Pacific Physical Societies – Division of Plasma Physics (AAPPS-DPP), Japan, and a Life Member of the Institute of Researchers.

Technical Skills

  • Artificial Intelligence & Data Science
  • Machine Learning & Deep Learning
  • Neural Networks & Computer Vision

Research Impact

Divyansh Mishra has rapidly established himself as a promising young researcher in Artificial Intelligence and Data Science. His Google Scholar profile records 231 citations, an h-index of 10, and a growing portfolio of 45 indexed publications. His research spans Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Big Data, Robotics, Environmental Informatics, Smart Agriculture, Digital Libraries, Space Weather Analytics, and Human-AI Interaction. Through books, journal articles, book chapters, and conference contributions, he has demonstrated interdisciplinary research capabilities while addressing real-world scientific and technological challenges.

Award Suitability

Divyansh Mishra is highly deserving of recognition for his exceptional contributions to Artificial Intelligence and Data Science. Despite being at the beginning of his research career, he has built an impressive academic profile comprising scholarly publications, books, book chapters, impactful research citations, innovative AI projects, invited lectures, and national-level hackathon achievements.

Conclusion

Divyansh Mishra represents a new generation of researchers dedicated to advancing Artificial Intelligence through innovation, interdisciplinary collaboration, and practical applications. His achievements in research publications, academic excellence, AI-based projects, and scientific outreach demonstrate remarkable potential for long-term contributions to the global research community.

References

  1. R.K. Mishra, D. Mishra, R. Agarwal. An Artificial Intelligence-Powered Approach to Material Design. In: Cutting-Edge Research in Chemical and Material Science, Vol. 1, pp. 1–15, 2024.
    DOI: 10.1201/9781003528395-1
    https://doi.org/10.1201/9781003528395-1
  2. R.K. Mishra, D. Mishra, R. Agarwal. Environmental Sustainability and Ecological Balance. In: Implementation of Innovative Strategies in Integral Plant Protection, 2025.
    DOI: 10.1201/9781003574569-2
    https://doi.org/10.1201/9781003574569-2
  3. D. Mishra, R.K. Mishra, R. Agarwal. Human–Computer Interaction and User Experience in the Artificial Intelligence Era. In: Trends in Computer Science and Information Technology Research, pp. 31–54, 2025.
    DOI: 10.1201/9781003518730-3
    https://doi.org/10.1201/9781003518730-3

 

Ankam Bhaskar | Material Science | Academic Excellence in Innovation and Technology Award

Academic Excellence in Innovation and Technology Award

Ankam Bhaskar
Palamuru University, Mahabubnagar, Telangana, India

 Ankam Bhaskar
Affiliation Department of Physics, Palamuru University, Mahabubnagar, Telangana
Country India
Research Area Materials Science, Nanomaterials, Thin Films, Semiconductor Materials, Surface Engineering
Documents 55
Citations 763
h-index 18
Event Indian Scientist Awards
Award Category Innovative Research Award
Scopus
View Profile
Subject Area Materials Science

Ankam Bhaskar is a distinguished academic and researcher in the field of Materials Science, serving as a faculty member in the Department of Physics at Palamuru University, Mahabubnagar, Telangana. His research focuses on advanced functional materials, nanomaterials, semiconductor materials, thin films, and surface engineering.

Abstract

Ankam Bhaskar has established an outstanding research career in Materials Science through significant contributions to nanotechnology, semiconductor materials, thin film science, and advanced functional materials.

Keywords

Materials Science, Nanomaterials, Thin Films, Semiconductor Materials, Surface Engineering, Functional Materials, Nanotechnology, Materials Characterization, Advanced Materials, Physics, Electronic Materials, Applied Materials Research.

Introduction

Materials Science is a multidisciplinary field that drives innovations across electronics, renewable energy, healthcare, aerospace, and industrial technologies. Research involving advanced functional materials and nanotechnology has become increasingly important for developing efficient and sustainable technological solutions.

Research Profile

Ankam Bhaskar serves as a faculty member in the Department of Physics at Palamuru University, Telangana. His academic career combines teaching, research, student mentoring, and scientific collaboration with a strong emphasis on Materials Science and condensed matter physics. His research interests include nanomaterials, thin films, semiconductor materials, advanced functional materials, and materials characterization techniques.

Research Work

Ankam Bhaskar’s research primarily focuses on Materials Science, with particular emphasis on nanomaterials, semiconductor materials, thin film deposition, advanced functional materials, and surface engineering. His investigations explore the synthesis, characterization, and optimization of materials possessing enhanced structural, optical, electrical, and mechanical properties.

Selected Publications

Ankam Bhaskar has authored 55 research publications indexed in Scopus, covering diverse topics in Materials Science, nanotechnology, semiconductor physics, thin films, and advanced materials research. His publications have accumulated 763 citations, reflecting the significance and international recognition of his scientific contributions.

Awards & Achievements

Throughout his academic career, Ankam Bhaskar has established a strong reputation through high-quality research publications, international collaborations, and sustained scholarly productivity. His impressive Scopus metrics, including 55 publications, 763 citations, and an h-index of 18, demonstrate his scientific excellence and continued contribution to Materials Science research.

Academic Responsibilities

As a faculty member of the Department of Physics at Palamuru University, Ankam Bhaskar actively participates in teaching undergraduate and postgraduate students, supervising research scholars, developing academic curricula, guiding laboratory research, and promoting collaborative scientific investigations.

Research Impact

The research contributions of Ankam Bhaskar have significantly advanced the understanding of functional materials, semiconductor technologies, and nanostructured systems. His published work continues to receive citations from researchers worldwide, demonstrating its relevance in contemporary materials research.

Award Suitability

Ankam Bhaskar exemplifies the qualities recognized by the Innovative Research Award through his sustained commitment to scientific excellence, impactful publications, and contributions to Materials Science.

Conclusion

Ankam Bhaskar has made valuable contributions to Materials Science through consistent research, quality publications, and academic leadership. His expertise in nanomaterials, semiconductor materials, and advanced functional materials has enhanced scientific understanding and supported technological innovation. With a strong publication record, significant citation impact, and continued dedication to research and education, he remains an important contributor to the advancement of materials research in India.

References

  1. K. Santhosh, B.E. Naveena, H.M. Shankara Murthy, H.S. Arunkumar, G.S. Divya, et al. Synthesis and Evaluation of Third-Generation Azolla pinnata Methyl Ester for Combustion and Emission Characteristics of a Direct Injection CI Engine with Isopropanol as an Additive. Energy Reports, 2026.
    DOI: 10.1016/j.egyr.2026.06.041
    https://doi.org/10.1016/j.egyr.2026.06.041
  2. M. Kaur, P. Hiremath, D.S. Chiniwar, P.K.K. Rao, N. Muralidhar, et al. Unified Multiscale and Explainable Machine Learning Framework for Wear-Regime Transitions in MWCNT and Nanoclay-Reinforced Sustainable Bio-Based Epoxy Composites. Journal of Composites Science, 2026.
    DOI: 10.3390/jcs10010015
    https://doi.org/10.3390/jcs10010015

 

Arunkumar H S | Engineering | Research Excellence Award

Arunkumar H S

Arunkumar H S
Manipal Institute of Technology, MAHE, India

Arunkumar H S
Institution Manipal Institute of Technology, MAHE
Country India
Research Area Thermal Engineering, Solar Thermal Systems, Renewable Energy, CFD, Heat Transfer
Documents 32
Citations 411
h-index 9
Scopus Author ID 57191362036
Award Indian Scientist Awards

Arunkumar H S is an Associate Professor in the School of Mechanical Engineering at Manipal Institute of Technology, Manipal Academy of Higher Education. He specializes in Thermal Engineering with research focused on solar thermal systems, renewable energy technologies, computational fluid dynamics (CFD), heat transfer enhancement, and energy-efficient engineering solutions. His research has significantly contributed to the development of advanced solar air heaters and sustainable thermal systems through both numerical and experimental investigations.

Abstract

Arunkumar H S has established a strong research profile in thermal engineering through innovative work on solar thermal energy systems, computational fluid dynamics, renewable energy technologies, and heat transfer enhancement. His studies focus on improving the efficiency and sustainability of solar air heaters and thermal energy conversion systems using advanced numerical and experimental techniques.

Keywords

Thermal Engineering, Solar Air Heater, Renewable Energy, Solar Thermal Systems, Computational Fluid Dynamics, CFD, Heat Transfer, Energy Analysis, Exergy Analysis, Sustainable Energy, Thermal Power Engineering, Photovoltaic Cooling.

Introduction

Thermal engineering and renewable energy technologies play a critical role in addressing global energy challenges through sustainable and efficient energy conversion systems. Solar thermal technologies, computational fluid dynamics, and advanced heat transfer methods have become essential research domains for improving energy utilization and reducing environmental impact.

Research Profile

Arunkumar H S is an Associate Professor in the School of Mechanical Engineering at Manipal Institute of Technology, MAHE. His research primarily focuses on Thermal Engineering, Solar Thermal Systems, Renewable Energy, Computational Fluid Dynamics (CFD), Heat Transfer, Energy Analysis, and Exergy Analysis. He has actively contributed to the development of efficient solar air heaters, photovoltaic thermal systems, and sustainable energy technologies through both numerical simulations and experimental investigations.

Research Work

Arunkumar H S has carried out extensive research on solar air heaters, photovoltaic panel cooling systems, thermal performance enhancement, renewable energy technologies, CFD-based flow analysis, and exergy optimization. His work emphasizes improving thermohydraulic performance using innovative absorber designs, perforated inserts, turbulators, spring fins, and cooling techniques for sustainable energy applications.

Research Areas

  • Thermal Engineering
  • Solar Thermal Engineering
  • Renewable Energy Systems

Selected Publications

Arunkumar H S has authored 32 Scopus-indexed publications with 411 citations and an h-index of 9. His research has appeared in leading journals including Renewable Energy, Applied Thermal Engineering, Solar Energy, Sustainable Energy Technologies and Assessments, Thermal Science and Engineering Progress, Results in Engineering, and the International Journal of Thermofluids. His publications primarily address solar thermal systems, renewable energy, CFD modelling, and advanced heat transfer enhancement techniques.

Academic Responsibilities

At Manipal Institute of Technology, Arunkumar H S has undertaken several academic leadership responsibilities including Department LMS Coordinator, Renewable Energy Laboratory In-charge, Department Result Analysis Coordinator, NBA and IET Accreditation Member, Placement Committee Member, Course Coordinator, Teacher Guardian, Faculty Advisor, NAIP Coordinator, STEAM Club Faculty Mentor, and supervisor for Ph.D., M.Tech., and B.Tech. research projects. He has also contributed to consultancy projects and institutional orientation activities.

Awards & Achievements

Arunkumar H S has established an excellent academic and research career through his contributions to thermal engineering and renewable energy. He has published high-quality research in leading Q1 journals, presented papers at more than ten international conferences, received the Best Presentation Award twice, successfully completed his Ph.D. in Solar Thermal Engineering, and serves as a Ph.D. supervisor for research scholars at MAHE.

Workshops & Faculty Development Programs

Arunkumar H S has actively participated in more than twenty-five Faculty Development Programs, workshops, summer schools, and research training programmes organized by premier institutions including IIT Delhi, IIT Bombay, IIT Madras, IIT Kharagpur, VNIT Nagpur, NIT Mizoram, CIT Coimbatore, MIT Manipal, RNSIT Bengaluru, and Virtual Engineering Bangalore.

Technical Skills

  • ANSYS ICEM CFD
  • ANSYS FLUENT

Research Impact

Arunkumar H S has contributed significantly to the advancement of renewable energy and thermal engineering through research on solar air heaters, photovoltaic cooling, CFD simulations, thermodynamic optimization, and sustainable energy systems. His Scopus profile includes 32 publications, 411 citations, and an h-index of 9, reflecting the growing influence of his work within the global thermal engineering research community.

Award Suitability

Arunkumar H S demonstrates excellence in thermal engineering through sustained contributions to renewable energy research, solar thermal technologies, computational fluid dynamics, and energy-efficient engineering solutions. His impactful publications, international conference presentations, academic leadership, and research supervision make him a strong candidate for recognition under the Indian Scientist Awards.

Conclusion

Arunkumar H S is a distinguished researcher and academic whose work bridges thermal engineering, renewable energy, computational fluid dynamics, and solar thermal technologies. Through innovative research, quality publications, and academic leadership, he continues to advance sustainable engineering solutions while mentoring future researchers and contributing to the global scientific community.

References

  1. Santhosh, B.E. Naveena, H.M. Shankara Murthy, H.S. Arunkumar, G.S. Divya, et al. Synthesis and Evaluation of Third-Generation Azolla pinnata Methyl Ester for Combustion and Emission Characteristics of a Direct Injection CI Engine with Isopropanol as an Additive. Energy Reports, 2026.
    DOI: 10.1016/j.egyr.2026.06.041
    https://doi.org/10.1016/j.egyr.2026.06.041
  2. M. Kaur, P. Hiremath, D.S. Chiniwar, P.K.K. Rao, N. Muralidhar, et al. Unified Multiscale and Explainable Machine Learning Framework for Wear-Regime Transitions in MWCNT and Nanoclay-Reinforced Sustainable Bio-Based Epoxy Composites. Journal of Composites Science, 2026.
    DOI: 10.3390/jcs10010015
    https://doi.org/10.3390/jcs10010015

Harishchander Anandaram | Biosensor | Innovative Research Award

Innovative Research Award

Harishchander Anandaram
Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu

 Harishchander Anandaram
Affiliation Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu
Country India
Research Area Biosensors, Computational Systems Biology, Metabolic Engineering, Bioinformatics
Documents 1
Citations 1
h- index 20
Event Indian Scientist Awards
Award Category Innovative Research Award
Google Scholar
View Profile
ORCID 0000-0003-2993-5304

Harishchander Anandaram is an accomplished academic, researcher, and innovator specializing in computational systems biology, bioinformatics, metabolic engineering, and biosensor technologies. Serving as an Assistant Professor (Senior Grade) at Amrita Vishwa Vidyapeetham, Coimbatore, he has established an interdisciplinary research portfolio integrating computational biology with translational biomedical research.

Abstract

Harishchander Anandaram has developed an interdisciplinary research program that combines computational systems biology, bioinformatics, metabolic engineering, molecular simulation, and biosensor research for biomedical applications.

Keywords

Biosensors, Computational Systems Biology, Bioinformatics, Metabolic Engineering, Machine Learning, Molecular Modeling, Pharmacogenomics, Biomarker Discovery, Systems Biology, Precision Medicine, Artificial Intelligence in Healthcare, Infectious Diseases.

Introduction

Modern biomedical research increasingly depends upon computational approaches capable of integrating biological data with predictive analytics. Computational systems biology has become an essential discipline for understanding complex biological systems, identifying disease biomarkers, predicting therapeutic targets, and accelerating drug discovery. Biosensor technologies further complement these developments by enabling rapid, accurate, and sensitive disease detection through advanced analytical platforms.

Research Profile

Harishchander Anandaram serves as Assistant Professor (Senior Grade) at Amrita Vishwa Vidyapeetham, Coimbatore, where he actively contributes to teaching, research, academic mentoring, and interdisciplinary scientific collaborations. His expertise spans computational systems biology, metabolic engineering, bioinformatics, biosensor technologies, molecular simulations, pharmacogenomics, and computational drug discovery.

Research Work

Harishchander Anandaram’s research is centered on computational systems biology, biosensors, bioinformatics, metabolic engineering, molecular modeling, and computational drug discovery. His multidisciplinary research integrates biological data analysis with artificial intelligence, systems biology, and computational techniques to understand disease progression and identify novel therapeutic interventions.

Selected Publications

Anandaram has authored more than 42 research publications in reputed international journals indexed in SCI, Scopus, and other major scientific databases. His publications span diverse interdisciplinary domains including computational biology, systems biology, bioinformatics, metabolic engineering, biosensor technologies, pharmacogenomics, molecular simulations, machine learning, and precision medicine.

Patents & Innovation

Innovation represents a major component of Anandaram’s research portfolio. He has published or filed 21 patents covering innovative computational methodologies, biomedical technologies, biosensor-related concepts, and healthcare-oriented research developments. These intellectual property contributions demonstrate his commitment to converting academic research into practical technological solutions.

Awards & Achievements

Recipient of the Young Scientist Award from the Melinda Gates Foundation for research involving microRNA dynamics in infectious diseases.

Leadership & Editorial Roles

Anandaram actively contributes to scientific leadership through editorial appointments, collaborative research initiatives, peer review activities, academic mentoring, and interdisciplinary research management. His academic leadership extends beyond teaching to the promotion of high-quality scientific publishing and international research collaborations.

Technical Skills

  • Computational Systems Biology
  • Bioinformatics and Biological Data Analysis

Research Impact

Harishchander Anandaram has made valuable contributions to computational biology and biosensor research through interdisciplinary investigations that combine systems biology, artificial intelligence, molecular modeling, and bioinformatics. His work supports the identification of disease biomarkers, therapeutic targets, and computational strategies that enhance modern biomedical research.

Award Suitability

Harishchander Anandaram has consistently demonstrated excellence in computational biology, biosensor research, bioinformatics, and systems biology through impactful scientific publications, innovative patents, interdisciplinary collaborations, and academic leadership. His ability to integrate computational approaches with biomedical applications has resulted in meaningful contributions toward disease prediction, biomarker discovery, molecular medicine, and precision healthcare.

Conclusion

Harishchander Anandaram is an accomplished researcher whose work bridges computational systems biology, bioinformatics, biosensors, metabolic engineering, and precision medicine. His multidisciplinary research has significantly contributed to understanding complex biological systems through computational modeling and innovative analytical techniques.

References

  1. M. Kirola, K. Joshi, S. Chaudhary, N. Singh, H. Anandaram, A. Gupta. Plants Diseases Prediction Framework: An Image-Based System Using Deep Learning. 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), 307–313, 2022.
    DOI: 10.1109/AIC55036.2022.9848854
    https://doi.org/10.1109/AIC55036.2022.9848854
  2. A. Gehlot, B.K. Ansari, D. Arora, H. Anandaram, B. Singh, J.L. Arias-Gonzáles, et al. Application of Neural Network in the Prediction Models of Machine Learning Based Design. 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2022.
    DOI: 10.1109/ICSES55317.2022.9914296
    https://doi.org/10.1109/ICSES55317.2022.9914296

 

Gubbala V. Ramesh | Materials Chemistry | Best Researcher Award

Research Excellence Award

Gubbala V. Ramesh
Affiliation Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad
Country India
Google Scholar
-IX-TtoAAAAJ
Subject Area Materials Chemistry
Research Papers 71
Citations 1566
h-index 19
Event Indian Scientist Awards

Gubbala V. Ramesh
Associate Professor, Department of Chemistry, Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad, India.

Gubbala V. Ramesh is an accomplished materials chemist with expertise in nanotechnology, fuel cells, nanomaterials, spectroscopy, electrocatalysis and advanced functional materials. He obtained his Ph.D. in Materials Chemistry from the University of Hyderabad and completed five years of postdoctoral research at the National Institute for Materials Science (NIMS), Japan. He also possesses industrial R&D experience and currently serves as Associate Professor of Chemistry at CBIT, Hyderabad.

Abstract

Gubbala V. Ramesh has established an internationally recognized research career in Materials Chemistry through pioneering work on nanomaterials, fuel cell catalysts, photocatalysis, polymer-metal nanocomposites and sustainable energy technologies. His research integrates chemistry, materials science and nanotechnology to develop advanced functional materials for environmental and industrial applications.

Keywords

Materials Chemistry, Nanotechnology, Fuel Cells, Electrocatalysis, Nanomaterials, Photocatalysis, Polymer Nanocomposites, Catalysis, Sustainable Energy.

Introduction

Materials Chemistry plays a critical role in developing advanced technologies for clean energy, environmental protection and industrial innovation. Gubbala V. Ramesh has dedicated his research career to designing novel nanostructured materials, catalysts and functional thin films that contribute to fuel cells, energy conversion and chemical sensing applications.

Research Profile

Gubbala V. Ramesh is an Associate Professor in the Department of Chemistry at Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad. He obtained his Ph.D. in Materials Chemistry from the University of Hyderabad and completed five years of postdoctoral research at the National Institute for Materials Science (NIMS), Japan. His academic career combines university research, industrial R&D and international collaborations in advanced materials science.

Academic Experience

  • Associate Professor, CBIT, Hyderabad (2022–Present)
  • Assistant Professor, CBIT (2019–2022)
  • R&D Manager, Environ Care Products LLP

Research Contributions

His research focuses on developing advanced nanomaterials for fuel cells, electrocatalysis, photocatalysis, carbon dioxide conversion, methane conversion, exhaust gas purification catalysts and polymer-metal nanocomposite thin films. He has reported several highly cited studies on platinum-based intermetallic nanoparticles, polymer nanocomposites and catalytic materials for sustainable energy technologies.

Research Projects

  • Fuel cell electrocatalysts using intermetallic nanoparticles.
  • Photocatalytic water splitting under visible light.
  • Carbon dioxide conversion into methane.
  • Methane conversion into liquid fuels.

Publications & Chapters

Ramesh has authored more than 50 peer-reviewed research papers and numerous book chapters published by ACS, Elsevier, Wiley, Springer and the Royal Society of Chemistry. His work has appeared in internationally reputed journals including Chemical Society Reviews, ACS Applied Materials & Interfaces, Journal of Materials Chemistry A, Chemistry of Materials and Chemical Communications. He also holds five patents related to nanotechnology and advanced catalyst materials.

Professional Achievements

  • Qualified CSIR-UGC NET (JRF).
  • Qualified GATE Examination.
  • Awarded CSIR Senior Research Fellowship.

Leadership & Professional Roles

Ramesh actively mentors postgraduate and doctoral researchers while leading interdisciplinary research in chemistry and materials science. His collaborations with researchers in Japan and India have strengthened international scientific partnerships and promoted innovation in nanotechnology and sustainable energy materials.

Research Impact

His research has received more than 1,114 citations with an h-index of 16. His publications continue to influence research in electrocatalysis, fuel cells, nanomaterials, photocatalysis and advanced functional materials. His scientific contributions have supported the development of efficient catalysts and environmentally sustainable technologies.

Award Suitability

Gubbala V. Ramesh is an outstanding candidate for the Research Excellence Award owing to his internationally recognized research in Materials Chemistry, strong publication record, patented innovations, industrial experience and sustained contributions to nanotechnology and sustainable energy research. His work demonstrates excellence in scientific innovation, academic leadership and global collaboration.

Conclusion

Through pioneering research in nanotechnology, catalysis and advanced materials, Gubbala V. Ramesh has established himself as a leading researcher in Materials Chemistry. His contributions continue to advance clean energy technologies, functional nanomaterials and interdisciplinary scientific research while inspiring future researchers through academic excellence and innovation.

External Links

References

  1. G.V. Ramesh, S. Porel, T.P. Radhakrishnan. Polymer Thin Films Embedded with In Situ Grown Metal Nanoparticles. Chemical Society Reviews, 38(9), 2646–2656, 2009.
    DOI: 10.1039/B822225K
    https://doi.org/10.1039/B822225K
  2. M. Manikandan, T. Tanabe, P. Li, S. Ueda, G.V. Ramesh, R. Kodiyath, J. Wang, et al. Photocatalytic Water Splitting under Visible Light by Mixed-Valence Sn₃O₄. ACS Applied Materials & Interfaces, 6(6), 3790–3793, 2014.
    DOI: 10.1021/am405525r
    https://doi.org/10.1021/am405525r

Vijay Mohan | Cancer Drug Discovery | Innovative Research Award

Innovative Research Award

Vijay Mohan
Galgotias University

Vijay Mohan
Affiliation Galgotias University
Country India
Scopus ID 57472028500
Documents 2
Citations 23
h-index 2
Subject Area Cancer Drug Discovery
Event Indian Scientist Awards

Vijay Mohan is associated with Galgotias University, India, and is engaged in research related to Cancer Drug Discovery. His academic work focuses on scientific approaches that contribute to understanding therapeutic targets, drug development strategies, and translational biomedical research. Through scholarly publications and research dissemination, he has contributed to the growing body of knowledge supporting advancements in oncology and pharmaceutical sciences.[1]

Abstract

The Innovative Research Award recognizes researchers who demonstrate originality, scientific rigor, and meaningful scholarly contributions. Vijay Mohan’s research profile reflects engagement in Cancer Drug Discovery, a field that integrates biomedical science, medicinal chemistry, pharmacology, and computational approaches to identify and develop effective therapeutic interventions. His publication and citation record illustrates active participation in scientific inquiry and knowledge dissemination within the biomedical research community.[1][2]

Keywords

Cancer Drug Discovery; Oncology Research; Therapeutic Development; Pharmaceutical Sciences; Biomedical Innovation; Precision Medicine; Drug Design; Translational Research; Cancer Therapeutics; Innovative Research.

Introduction

Cancer remains one of the most significant global health challenges, creating an ongoing need for innovative therapeutic strategies and improved treatment approaches. Cancer Drug Discovery encompasses multidisciplinary efforts directed toward identifying novel compounds, therapeutic targets, and personalized treatment methodologies. Researchers working in this field contribute to advancements that support both fundamental scientific understanding and practical clinical applications.[2]

Research Profile

Vijay Mohan is affiliated with Galgotias University and has established a documented research presence within Cancer Drug Discovery. According to available scholarly indicators, his profile includes two indexed publications, twenty-three citations, and an h-index of two. These metrics reflect research visibility and participation in academic discourse within biomedical and pharmaceutical research domains.[1]

  • Research focus on cancer therapeutics and drug discovery.
  • Interest in translational and biomedical research methodologies.
  • Contribution to scientific publication and scholarly communication.
  • Participation in interdisciplinary healthcare research initiatives.

Research Contributions

Research contributions within Cancer Drug Discovery support the identification of novel therapeutic compounds and improve understanding of disease mechanisms. Scientific efforts in this area often involve target validation, medicinal chemistry, molecular biology, and pharmacological evaluation. Such contributions assist in the development of more effective and personalized treatment strategies for cancer patients.[2]

  • Investigation of therapeutic targets relevant to oncology.
  • Support for innovative approaches to drug development.
  • Contribution to evidence-based biomedical research.
  • Participation in scientific initiatives focused on healthcare advancement.

Publications

The publication record associated with Vijay Mohan reflects scholarly engagement within biomedical and pharmaceutical research. Publications serve as an important mechanism for communicating scientific findings, facilitating peer review, and supporting future investigations in cancer-related research fields.[1]

  1. Research publications related to cancer therapeutics.
  2. Scientific articles supporting drug discovery initiatives.
  3. Peer-reviewed contributions to biomedical literature.
  4. Collaborative research outputs within healthcare sciences.

Research Impact

Research impact may be evaluated through scholarly publications, citations, academic visibility, and contribution to scientific advancement. The citation record associated with Vijay Mohan indicates engagement with the research community and demonstrates that his work has contributed to ongoing scientific discussions within cancer-related biomedical research.[1]

Award Suitability

The Innovative Research Award recognizes researchers whose scholarly activities demonstrate originality, scientific relevance, and meaningful academic contribution. Based on available research indicators and documented scientific engagement, Vijay Mohan exhibits characteristics aligned with innovative research practice through his involvement in Cancer Drug Discovery and biomedical research initiatives. These attributes support consideration within research recognition and excellence programs.[1]

Conclusion

Vijay Mohan’s research profile reflects continued engagement in Cancer Drug Discovery and biomedical research. Through scholarly publication, scientific communication, and contributions to oncology-related investigations, he participates in efforts aimed at advancing therapeutic innovation and healthcare outcomes. The Innovative Research Award provides an appropriate framework for recognizing such scholarly contributions and encouraging continued research excellence.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Vijay Mohan, Author ID 57472028500. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57472028500
  2. Role of Transcription Factor BEND3 and Its Potential Effect on Cancer Progression
    https://www.mdpi.com/2072-6694/15/14/3685

Surjit Bhai | Computational Chemistry | Innovative Research Award

Innovative Research Award

Surjit Bhai
Assam down town University

Surjit Bhai
Affiliation Assam down town University
Country India
Scholar ID 74fJslYAAAAJ
Documents 18
Citations 126
h-index 6
Subject Area Computational Chemistry
Event Indian Scientist Awards

Surjit Bhai is an academic researcher affiliated with Assam down town University, India. His research activities are primarily associated with Computational Chemistry, an interdisciplinary field integrating chemistry, mathematics, physics, and computer science to investigate molecular structures, chemical processes, and predictive scientific models. His documented scholarly record reflects sustained academic engagement through publications, citations, and research dissemination activities that contribute to the advancement of computational and theoretical chemical sciences.[1]

Abstract

The Innovative Research Award recognizes scholarly contributions that demonstrate originality, scientific relevance, and sustained academic productivity. Surjit Bhai’s research profile highlights active participation in Computational Chemistry, supported by a measurable publication record and citation impact. His academic contributions align with contemporary research priorities involving computational modeling, molecular simulations, and theoretical investigations that support scientific discovery and technological advancement.[1][2]

Keywords

Computational Chemistry; Molecular Modeling; Chemical Informatics; Quantum Chemistry; Scientific Computing; Innovative Research; Theoretical Chemistry; Research Excellence; Chemical Simulations; Academic Scholarship.

Introduction

Computational Chemistry has emerged as a critical scientific discipline that enables researchers to investigate molecular behavior and chemical interactions through computational methods. The field contributes significantly to materials science, pharmaceutical research, environmental studies, and molecular engineering. Recognition programs such as the Innovative Research Award acknowledge researchers whose scholarly efforts contribute to expanding scientific understanding and innovation within these domains.[2]

Research Profile

According to available scholarly metrics, Surjit Bhai has produced eighteen documented research publications and accumulated one hundred twenty-six citations, with an h-index of six. These indicators reflect academic visibility and engagement within the scientific community. His research interests focus on computational approaches to chemical analysis, molecular systems, and theoretical investigations that support scientific advancement.[1]

  • Research specialization in Computational Chemistry.
  • Experience in molecular modeling and computational analysis.
  • Contribution to peer-reviewed scientific literature.
  • Participation in interdisciplinary scientific research initiatives.

Research Contributions

The research contributions associated with Surjit Bhai emphasize the application of computational techniques to investigate chemical structures, reaction mechanisms, and molecular properties. Such work supports efficient scientific experimentation by complementing laboratory-based investigations with predictive computational frameworks. Computational Chemistry continues to play an important role in accelerating scientific discovery and reducing experimental complexity across multiple disciplines.[2][3]

  • Computational investigation of molecular systems.
  • Development and application of theoretical chemical models.
  • Support for data-driven scientific analysis.
  • Contribution to interdisciplinary computational research.

Publications

The researcher’s publication portfolio reflects continued scholarly engagement and participation in academic communication. Published works contribute to the dissemination of scientific knowledge and provide opportunities for peer review, validation, and future research development.[1]

  1. Peer-reviewed journal articles in Computational Chemistry.
  2. Research papers involving molecular simulations and theoretical studies.
  3. Conference publications and scientific communications.
  4. Collaborative interdisciplinary research outputs.

Research Impact

Citation-based indicators provide one perspective on scholarly influence and visibility. The research profile associated with Surjit Bhai demonstrates measurable academic impact through citation activity and publication performance. These indicators suggest that his work contributes to ongoing scientific discussions and supports further investigations within Computational Chemistry and related disciplines.[1]

Award Suitability

The Innovative Research Award recognizes originality, scientific rigor, and meaningful scholarly contributions. Based on available academic metrics and documented research activities, Surjit Bhai demonstrates characteristics commonly associated with innovative scientific inquiry, including publication productivity, citation impact, and engagement with computational methodologies that address contemporary scientific challenges. These attributes support consideration for recognition within research excellence programs.[1][4]

Conclusion

Surjit Bhai’s academic profile reflects continued contributions to Computational Chemistry through scholarly publication, citation impact, and research engagement. His work contributes to the broader advancement of computational scientific methodologies and supports knowledge development within chemistry-related disciplines. The Innovative Research Award provides an appropriate framework for recognizing such contributions and encouraging future academic achievements.[1]

References

  1. Google Scholar. (n.d.). Scholar profile: Surjit Bhai, Scholar ID 74fJslYAAAAJ. https://scholar.google.com/citations?user=74fJslYAAAAJ&hl=en
  2. Recyclable Functionalized Material for Sensitive Detection and Exceptional Sorption of Hexavalent Chromium and Permanganate Ions with Biosensing ApplicationsClick to copy article link. https://pubs.acs.org/doi/abs/10.1021/acsabm.1c00609
  3. Estimation of bisulfate in edible plant foods, dog urine, and drugs: picomolar level detection and bio-imaging in living organisms†
    https://pubs.rsc.org/en/content/articlelanding/2017/vz/c9an01078e/unauth
  4. Probing the Interaction of Nucleobases and Fluorophore-Tagged Nucleobases with Graphene Surface: Adsorption and Fluorescence Studies.
    https://chemistry-europe.onlinelibrary.wiley.com/doi/abs/10.1002/slct.201904442

Vijay Sangolgi | Deep Learning | Young Researcher Award

Young Researcher Award

Vijay Sangolgi
Affiliation N. K. Orchid College of Engineering & Technology, Solapur
Country India
Scopus ID 58843968000
Documents 16
Citations 10
h-index 2
Subject Area Deep Learning
Event Indian Scientist Awards
ORCID 0009-0004-9219-8006

Vijay Sangolgi

N. K. Orchid College of Engineering & Technology, Solapur,

 

Vijay Sangolgi is affiliated with N. K. Orchid College of Engineering & Technology, Solapur, India. His scholarly activities are associated with the field of Deep Learning, where he has contributed to emerging computational methodologies, intelligent systems, and applied artificial intelligence research. Through academic publications and research dissemination, he has established a growing presence within the scientific community and demonstrates the characteristics commonly recognized under young researcher excellence initiatives.[1]

Abstract

The Young Researcher Award recognizes emerging scholars demonstrating research productivity, academic engagement, and contributions to advancing knowledge within their respective disciplines. Vijay Sangolgi’s academic profile reflects involvement in Deep Learning research, supported by peer-reviewed publications, scholarly dissemination, and measurable citation activity. The combination of publication output, interdisciplinary relevance, and commitment to technological advancement provides a basis for consideration within research recognition frameworks focused on early-career achievement.[1][2]

Keywords

Deep Learning; Artificial Intelligence; Machine Learning; Neural Networks; Computational Intelligence; Research Excellence; Emerging Scholar; Scientific Publications; Knowledge Discovery; Young Researcher Award.

Introduction

Research recognition programs play an important role in encouraging innovation, scientific inquiry, and knowledge dissemination across academic disciplines. The Young Researcher Award category is designed to acknowledge researchers who demonstrate notable scholarly activity during the early stages of their academic careers. Within the rapidly evolving field of Deep Learning, contributions involving predictive modeling, intelligent systems, and data-driven decision making continue to influence both theoretical and practical advancements.[2]

Research Profile

Vijay Sangolgi is associated with N. K. Orchid College of Engineering & Technology, Solapur, India. His documented scholarly record includes sixteen indexed documents, ten citations, and an h-index of two according to available research metrics. His academic interests are centered on Deep Learning and related computational methodologies that support intelligent automation and advanced analytical systems.[1]

  • Research specialization in Deep Learning and Artificial Intelligence.
  • Participation in scholarly publication and dissemination activities.
  • Contribution to computational and intelligent system research.
  • Engagement with interdisciplinary technological applications.

Research Contributions

The research activities attributed to Vijay Sangolgi are aligned with contemporary developments in machine learning and Deep Learning technologies. Such work contributes to the broader objective of improving computational efficiency, predictive accuracy, and intelligent decision-support systems. The field continues to generate significant academic and industrial interest due to its applications in healthcare, engineering, business analytics, and automation.[3]

  • Application of machine learning methodologies to complex datasets.
  • Exploration of intelligent computational models.
  • Support for innovation through algorithmic research.
  • Contribution to academic knowledge exchange and scholarly communication.

Publications

The publication record associated with the researcher reflects sustained scholarly engagement. Indexed publications contribute to scientific visibility, facilitate peer evaluation, and promote the dissemination of research findings across the academic community.[1]

  1. Peer-reviewed journal articles in Deep Learning and related technologies.
  2. Conference proceedings and technical research presentations.
  3. Collaborative publications supporting interdisciplinary research.
  4. Scholarly outputs contributing to emerging AI applications.

Research Impact

Research impact may be evaluated through publication output, citation performance, academic visibility, and contribution to ongoing scientific dialogue. The documented citation record demonstrates that the research outputs have received scholarly attention and contribute to the broader exchange of scientific knowledge. Continued publication activity has the potential to expand influence across academic and applied research domains.[1]

Award Suitability

The Young Researcher Award emphasizes research promise, scholarly productivity, innovation, and contribution to scientific advancement. Based on available academic indicators, Vijay Sangolgi demonstrates characteristics associated with emerging research excellence, including publication activity, engagement with contemporary technological research, and participation in scholarly communication. These factors support consideration within award programs recognizing early-career academic achievement.[1][4]

Conclusion

Vijay Sangolgi’s academic profile reflects ongoing engagement with Deep Learning research and scholarly publication activities. Through contributions to scientific literature and participation in advancing computational intelligence methodologies, the researcher represents the type of emerging scholar frequently recognized by early-career research distinction programs. The Young Researcher Award serves as a platform for acknowledging such contributions and encouraging future scientific achievement.[1]

References

  1. Scopus author details: Vijay Sangolgi, Author ID 58843968000. Scopus. https://www.scopus.com/authid/detail.uri?authorId=58843968000
  2. Facial recognition enhanced music recommendation system: An exploration of CNN in user centric music discovery
    https://pubs.aip.org/aip/acp/article-abstract/3385/1/030001/3380727/Facial-recognition-enhanced-music-recommendation?redirectedFrom=fulltext
  3. Artificial Intelligence and Emerging Technology (AI Summit), Global AI Summit – International Conference on. https://ieeexplore.ieee.org/xpl/conhome/11410557/proceeding
  4. Revolutionizing Fake News Detection with Artificial Neural Networks and Recurrent Neural Networks. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5091615

Alpana Singh | Sustainable Energy | Women Researcher Award

Women Researcher Award

Alpana Singh
Bharat Institute of Engineering and Technology

Alpana Singh
Affiliation Bharat Institute of Engineering and Technology
Country India
Scopus ID Je65SI4AAAAJ
Documents 25
Citations 330
h-index 11
Subject Area Sustainable Energy
Event Indian Scientist Awards

Alpana Singh, affiliated with Bharat Institute of Engineering and Technology. Her documented contributions within the field of sustainable energy reflect active engagement in contemporary scientific research and academic dissemination.[1]

Abstract

This article documents the academic profile of Alpana Singh and evaluates her suitability for recognition through the Women Researcher Award. The profile highlights scholarly productivity, citation performance, research specialization in sustainable energy, and contributions to scientific knowledge dissemination. The assessment is based on publicly available scholarly indicators and institutional affiliation data, providing a concise academic overview suitable for award evaluation and professional recognition.[1]

Keywords

Women Researcher Award; Sustainable Energy; Academic Excellence; Scientific Research; Citation Impact; Research Publications; Scholarly Achievement; Engineering Research.

Introduction

Recognition programs dedicated to women in science and engineering play an important role in encouraging innovation, academic leadership, and knowledge generation. The Women Researcher Award acknowledges researchers who have demonstrated consistent contributions through publications, citations, institutional engagement, and subject-specific expertise. Alpana Singh’s academic activities in sustainable energy align with contemporary priorities related to energy efficiency, environmental sustainability, and technological development.[2]

Research Profile

Alpana Singh is affiliated with Bharat Institute of Engineering and Technology and has established a research profile centered on sustainable energy studies. Available scholarly metrics indicate a portfolio of 25 indexed research documents, supported by 330 citations and an h-index of 11. These indicators suggest ongoing participation in academic research, publication, and scientific communication within engineering and sustainability-related domains.[1]

  • Research Area: Sustainable Energy
  • Academic Affiliation: Bharat Institute of Engineering and Technology
  • Documents Indexed: 25
  • Total Citations: 330
  • h-index: 11
  • Recognition Platform: Indian Scientist Awards

Research Contributions

The research contributions associated with Alpana Singh demonstrate engagement in scholarly investigations connected to sustainable energy systems and related engineering applications. Her publication record reflects participation in advancing technical understanding, supporting evidence-based solutions, and contributing to the broader academic literature. Such contributions are valuable for strengthening research ecosystems focused on energy sustainability and environmental stewardship.[3]

  1. Development and dissemination of sustainable energy research findings.
  2. Contribution to peer-reviewed academic literature.
  3. Support for interdisciplinary scientific collaboration.
  4. Promotion of engineering-based sustainability solutions.
  5. Participation in scholarly communication through publications and citations.

Publications

Publication output remains a significant indicator of academic productivity. The available scholarly record indicates that Alpana Singh has authored or co-authored multiple publications indexed through recognized academic databases. Her body of work contributes to the dissemination of scientific findings and supports ongoing research activity within sustainable energy disciplines.[1]

  • Peer-reviewed journal articles.
  • Conference proceedings.
  • Collaborative research publications.
  • Engineering and sustainability-focused academic outputs.

Representative DOI resources relevant to sustainable energy scholarship include established academic literature accessible through DOI infrastructure.[4]

Research Impact

Research impact may be assessed through citation performance, publication reach, scholarly visibility, and knowledge transfer. With 330 citations and an h-index of 11, Alpana Singh’s scholarly record demonstrates measurable engagement from the research community. Citation-based indicators suggest that her published work has contributed to ongoing academic discussions and has been referenced by other researchers working in related fields.[1]

Award Suitability

Based on available scholarly metrics, publication activity, citation performance, and subject-area specialization, Alpana Singh demonstrates characteristics commonly associated with candidates considered for academic recognition programs. Her sustained engagement in sustainable energy research, combined with documented scholarly impact and institutional contribution, supports her suitability for consideration under the Women Researcher Award category of the Indian Scientist Awards program.[1][5]

Conclusion

Alpana Singh’s academic profile reflects active participation in research, publication, and scholarly communication within the sustainable energy field. The combination of publication output, citation impact, institutional affiliation, and subject-area expertise provides a foundation for professional recognition. The Women Researcher Award serves as an appropriate platform for acknowledging such contributions and promoting continued excellence in scientific research and innovation.

References

  1. Google Scholar. (n.d.). Scholar profile of Alpana Singh (User ID: Je65SI4AAAAJ). Google Scholar. https://scholar.google.com/citations?user=Je65SI4AAAAJ&hl=en
  2. Natural surfactant for sustainable carbon utilization in cleaner production of fossil fuels: Extraction, characterization and application studies. https://www.sciencedirect.com/science/article/pii/S2213343721012082
  3. An experimental evaluation of green surfactants to stabilize silica nanofluids in saline conditions and its application in CO2 absorption.https://openurl.ebsco.com/EPDB%3Agcd%3A1%3A12602673/detailv2?sid=ebsco%3Aplink%3Ascholar&id=ebsco%3Agcd%3A175019794&crl=c&link_origin=scholar.google.com
  4. Design and performance evaluation of Alkaline-Surfactant-Polymer slug of a natural surfactant of fenugreek in saline media for Foaming/Emulsification applications.
    https://www.sciencedirect.com/science/article/abs/pii/S0167732223027198
  5. Implications of sand mobilization on stability and rheological properties of carbon dioxide foam and its transport mechanism in unconsolidated sandstone. https://www.sciencedirect.com/science/article/abs/pii/S0360544222026585/