Uma Kamboj | Biological Sciences | Women Researcher Award

Dr. Uma Kamboj | Biological Sciences | Women Researcher Award

Dr. Uma Kamboj, Lovely Professional University, India

Dr. Uma Kamboj is an accomplished academician and researcher specializing in statistics, multivariate analysis, infrared spectroscopy, and aquaphotomics. She currently serves as an Associate Professor in the Department of Physics at Lovely Professional University, Punjab. With over eight years of research experience, she has made significant contributions to the qualitative and quantitative assessment of cereals, grains, food products, beverages, milk, and dairy items. Her expertise extends to near-infrared spectroscopy for predicting physicochemical parameters in flour. Dr. Kamboj has guided numerous Ph.D. and M.Sc. students, published extensively in Scopus and WOS-indexed journals, and presented at international conferences. She actively participates as a resource person in workshops and faculty development programs. Her research achievements have earned her prestigious awards, including the “Graduate Eminent Engineers Award” and the “Best Achievers Award” by Magic Book of Records. Her passion for academia and innovation continues to impact the scientific community significantly.

Professional Profile

Scopus

Orcid

Google Scholar

Suitability of Dr. Uma Kamboj for the Research for Women Researcher Award

Dr. Uma Kamboj is an accomplished academician and researcher with significant contributions in the field of physics, particularly in multivariate analysis, infrared spectroscopy, and aquaphotomics. Her expertise in applying near-infrared spectroscopy for the qualitative and quantitative assessment of food products and agricultural materials demonstrates a strong research impact in both fundamental and applied sciences. With over 11 years of experience, including more than nine years of teaching and mentoring, she has played a crucial role in advancing research methodologies and statistical applications in scientific studies.

Her research credentials are well-established, as reflected by her h-index of 10, i-10 index of 10, and over 37 Scopus/WOS-indexed publications and book chapters. The cumulative impact factor of 41.457 and the highest impact factor publication of 5.561 further highlight the quality and reach of her research work. Additionally, her patent publication on a wearable monitoring system for visually impaired individuals signifies her contributions beyond academia, impacting technological advancements in healthcare and assistive technologies.

🎓 Education

Dr. Uma Kamboj holds a Ph.D. in Physical Sciences from the Academy of Scientific & Innovative Research (AcSIR), CSIR-CSIO, awarded in 2018. Her doctoral research focused on applying near-infrared spectroscopy for predicting physicochemical parameters of flour. She earned her M.Sc. in Physics (Astronomy and Space Physics) from Punjabi University in 2007, securing a University Medal with 79.95%. She also completed an A.M.I.E. in Electronics and Communication Engineering from IEI Kolkata. Her academic foundation was built with a B.Sc. in Non-Medical Sciences from Dev Samaj College for Women, Panjab University, achieving an impressive 85.5% and securing the 11th rank in the university. Additionally, she completed a B.Ed. from Muktsar College of Education, Punjab University. Her early education includes a strong performance in 10th and 12th grades from Army School Ferozepur (CBSE). Her academic excellence and diverse expertise in sciences and engineering reflect her dedication to research and teaching.

💼 Professional Experience

Dr. Uma Kamboj has over 11 years of experience in teaching and research. Since July 2017, she has been an Associate Professor at Lovely Professional University, Punjab, actively involved in research, teaching Ph.D., M.Sc., and B.Sc. students, and organizing academic events. Previously, she worked as a Lecturer at Lovely Professional University from 2008 to 2012, where she taught Engineering Physics. Her research career includes serving as a Junior Research Fellow at Physical Research Laboratory (PRL), Ahmedabad, and as a Project Assistant-II at CSIR-CSIO, Chandigarh, where she worked on near-infrared spectroscopy applications for honey authentication. Dr. Kamboj has guided multiple Ph.D. and M.Sc. students and coordinated academia-industry collaborations. She has also been a resource person for various workshops and faculty development programs, specializing in research methodology, statistical analysis, and plagiarism detection. Her contributions to academia and research make her a valuable leader in the scientific community.

🏅 Awards and Recognition

Dr. Uma Kamboj has received several prestigious awards for her academic and research excellence. She was honored with the “Graduate Eminent Engineers Award” by Punjab and Chandigarh State Centre, IEI Kolkata, in 2021. Her research accomplishments earned her the CSIR-SRF Fellowship for pursuing her Ph.D. from April 2013 to April 2016. Additionally, she was recognized with the “Best Achievers Award” by the Magic Book of Records in 2023 for her contributions to research and academia. Dr. Kamboj’s impactful work in the field of spectroscopy and multivariate analysis has gained her recognition in national and international scientific communities. She has also been a resource person for numerous research methodology workshops, faculty development programs, and international seminars. Her continuous contributions to science, education, and research demonstrate her commitment to advancing knowledge and mentoring future researchers in the field.

🌍 Research Skills On Biological Sciences

Dr. Uma Kamboj possesses extensive expertise in statistics, multivariate analysis, and spectroscopy. Her primary research focuses on infrared spectroscopy and aquaphotomics for the qualitative and quantitative assessment of food products. She specializes in near-infrared spectroscopy applications for predicting physicochemical parameters in cereals, grains, beverages, milk, and dairy products. She is proficient in advanced data analysis techniques, including chemometrics and statistical modeling, essential for scientific research. Her research contributions extend to machine learning applications in spectroscopy. She has successfully guided Ph.D. and M.Sc. students in developing innovative methodologies in the field. Additionally, Dr. Kamboj is actively involved in organizing and delivering research methodology workshops and faculty development programs. Her interdisciplinary knowledge and ability to integrate technology with research make her a leader in the domain of food quality assessment and spectroscopy-based analytical techniques.

📖 Publication Top Notes

  • Green method for determination of phenolic compounds in mung bean (Vigna radiata L.) based on near‐infrared spectroscopy and chemometrics
    Authors: M Meenu, U Kamboj, A Sharma, P Guha, S Mishra
    Citation: 47
    Year: 2016

  • Detection of jaggery syrup in honey using near-infrared spectroscopy
    Authors: S Mishra, U Kamboj, H Kaur, P Kapur
    Citation: 44
    Year: 2010

  • Comparison of PLSR, MLR, SVM regression methods for determination of crude protein and carbohydrate content in stored wheat using near Infrared spectroscopy
    Authors: U Kamboj, P Guha, S Mishra
    Citation: 33
    Year: 2022

  • Application of Selective Near Infrared Spectroscopy for Qualitative and Quantitative Prediction of Water Adulteration in Milk
    Authors: NM Uma Kamboj, Neha Kaushal, Sunita Mishra
    Citation: 26
    Year: 2020

  • Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics
    Authors: M Meenu, Y Zhang, U Kamboj, S Zhao, L Cao, P He, B Xu
    Citation: 21
    Year: 2021

  • Characterization of Chickpea Flour by Near Infrared Spectroscopy and Chemometrics
    Authors: SM Uma Kamboj, Paramita Guha
    Citation: 19*
    Year: 2016

  • Prediction of adulteration in honey using rheological parameters
    Authors: U Kamboj, S Mishra
    Citation: 19
    Year: 2015

  • Near Infrared Spectroscopy as an efficient tool for the Qualitative and Quantitative Determination of Sugar Adulteration in Milk
    Authors: NKSJ Uma Kamboj
    Citation: 15
    Year: 2020

  • Changes in rheological properties of wheat due to storage
    Authors: U Kamboj, P Guha, S Mishra
    Citation: 13
    Year: 2018

  • Prediction of properties of wheat dough using intelligent deep belief networks
    Authors: P Guha, T Bhatnagar, I Pal, U Kamboj, S Mishra
    Citation: 10
    Year: 2017

Dr. Consuelo Sendino | Environmental Science

Dr. Consuelo Sendino | Environmental Science | Best Researcher Award

Dr. Consuelo Sendino, CSIC, MNCN, Spain

Consuelo Sendino is an accomplished scientist and curator specializing in geology, palaeontology, and environmental sciences. She holds a PhD in Palaeontology from the University Complutense of Madrid, with a remarkable career spanning over three decades. She is currently a senior specialist at the Museo Nacional de Ciencias Naturales (MNCN), CSIC, contributing significantly to various projects in the fields of digital curation and biodiversity research. Her work focuses on invertebrates, specifically bryozoans, sponges, and historical collections, and she has led numerous initiatives aimed at advancing scientific understanding through digital technology and collaboration with international museums.

Professional Profile

Scopus 

orcid

Google Scholar

Research for Best Researcher Award: Summary of Suitability for Award – Consuelo Sendino

Consuelo Sendino’s outstanding academic credentials and distinguished career in paleontology and geology, marked by a Ph.D. from the University Complutense of Madrid and numerous prestigious research positions, make her an exemplary candidate for the Research for Best Researcher Award. Her extensive research and curatorial work, particularly in the areas of bryozoans, sponges, and worms, has contributed significantly to the field of natural history, as evidenced by her role in leading various international projects, including the Synthesys Project and the Bryozoa Identification Tool. Her involvement in AI-driven projects for stromatoporoid identification further exemplifies her innovative approach to combining technology with paleontological research.

Her dedication to advancing scientific understanding is further demonstrated by her leadership in digitizing historical collections and the creation of valuable resources such as QR labels for Bryozoan collections. She has made her work accessible to the global scientific community through collaborative projects with museums across Europe, as well as her extensive publication record, including influential contributions to high-impact journals.

🎓 Education

Consuelo Sendino’s education has been centered on geology and environmental sciences. She earned her PhD in Palaeontology from the University Complutense of Madrid in 2008, where she graduated cum laude. Her educational journey includes a Master’s in Environmental Management (2000) and a Master’s Thesis in Geology (2003), both from the same institution. She also holds a Licenciatura in Geology (1989). Additionally, Sendino has pursued several advanced diplomas in computing architecture and Oracle, expanding her interdisciplinary expertise.

💼 Professional Experience

Consuelo Sendino has had an extensive and influential career in geological sciences and museum curation. She currently serves as Técnico Superior Especializado at the Museo Nacional de Ciencias Naturales, CSIC, where she focuses on the digitalization of collections and the Natural History Portal. Her previous roles include senior curator of invertebrates and historical collections at MNCN, where she also led a European project on bryozoa identification. Sendino has coordinated various museum projects and contributed significantly to the development of digital tools for natural history collections.

🏅 Awards and Recognition

Consuelo Sendino has been recognized for her scientific and curatorial contributions through multiple awards and grants. She was awarded the 2024 Encourage Award by the Association of Women Geoscientists (AWG). Her work has also earned funding through various bids and grants, such as the Earth Sciences bid for attending global conferences and research projects. Sendino’s commitment to advancing scientific research has been acknowledged by organizations like the Geological Society of London, where she holds a leadership role within the History of Geology Group.

🌍 Research Skills On Environmental Science

Consuelo Sendino’s research skills are focused on palaeontology, environmental management, and digital curation. She has spearheaded projects on bryozoan identification, including a European collaboration on Mediterranean and North Atlantic species. Additionally, Sendino is at the forefront of using AI for stromatoporoid identification. Her research extends to the digitalization of fossil collections, and her work on the Lyell Project and other curatorial efforts has made a significant impact on scientific accessibility and public understanding of natural history.

📖 Publication Top Notes

  • Latitudinal distribution of bryozoan-rich sediments in the Ordovician
    Authors: PD Taylor, C Sendino
    Citation: Bulletin of Geosciences, 85(4), 565-572
    Year: 2010
  • Keratose sponges in ancient carbonates–A problem of interpretation
    Authors: F Neuweiler, S Kershaw, F Boulvain, M Matysik, C Sendino, …
    Citation: Sedimentology, 70(3), 927-968
    Year: 2023
  • Fossil fakes and their recognition
    Authors: C Corbacho, J. & Sendino
    Citation: Deposits Magazine, 30, 35-40
    Year: 2012
  • The aperture and its closure in an Ordovician conulariid
    Authors: C Sendino, K Zágoršek, Z Vyhlasová
    Citation: Acta Palaeontologica Polonica, 56(3), 659-663
    Year: 2011
  • A rugose coral–bryozoan association from the Lower Devonian of NW Spain
    Authors: C Sendino, JLS Andrés, MA Wilson
    Citation: Palaeogeography, Palaeoclimatology, Palaeoecology, 530, 271-280
    Year: 2019
  • Asymmetry in an Ordovician conulariid cnidarian
    Authors: C Sendino, K Zágoršek, PD Taylor
    Citation: Lethaia, 45(3), 423-431
    Year: 2012
  • Endolithic biota of belemnites from the Early Cretaceous Speeton Clay Formation of North Yorkshire, UK
    Authors: C Taylor, P. Barnbrook, J. & Sendino
    Citation: Proceedings of the Yorkshire Geological Society, 59(4), 227-245
    Year: 2013
  • The collection of conulariids of the Natural History Museum of London
    Authors: C Sendino, J Darrell
    Citation: The Geological Curator, 9, 3-20
    Year: 2009
  • KE EMu and the future for natural history collections
    Author: MC Sendino
    Citation: Collections, 5(2), 149-158
    Year: 2009
  • Revisión de la colección de Conulariidae de The Natural History Museum de Londres (Reino Unido)
    Author: C Sendino
    Citation: PhD. Universidad Complutense de Madrid
    Year: 2007

Research Discovery Award

Research Discovery Award

Introduction: Welcome to the prestigious Research Discovery Award, an honor that celebrates groundbreaking discoveries and innovative research endeavors in our field. This award recognizes the invaluable contributions of researchers who push the boundaries of knowledge and drive progress through their work.

About the Award: The Research Discovery Award is bestowed upon individuals or teams whose research has led to significant discoveries or advancements in their respective fields. This award aims to highlight and commend the exceptional efforts of researchers who have made impactful contributions to the scientific community.

Eligibility:

  • No age limits
  • Qualifications: Open to researchers at all career stages
  • Publications: Must have published research findings within the specified timeframe
  • Recurrence: Annual award

Evaluation Criteria:

  • Originality and significance of the discovery
  • Impact on the field or broader society
  • Methodological rigor and innovation
  • Potential for future research implications

Submission Guidelines:

  • Submit the research findings along with a brief biography and abstract
  • Include supporting files such as data sets, images, or supplementary materials
  • Adhere to the specified format for submission

Recognition: Recipients of the Research Discovery Award will receive recognition for their groundbreaking contributions to research and innovation. This includes a certificate of achievement and acknowledgment during an awards ceremony or presentation.

Community Impact: The winning research discoveries will be showcased and promoted within the scientific community, inspiring collaboration and further exploration of new frontiers in research.

Biography and Abstract: Authors are required to submit a brief biography highlighting their academic background and research interests, as well as a concise abstract summarizing the key findings of their discovery.