Sneha Tiwari | Plant Abiotic Stress | Young Scientist Award

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Young Scientist Award

Sneha Tiwari
Researcher Sneha Tiwari
Affiliation National Institute of Plant Genome Research
Country India
Scopus ID 57214310217
Documents 4
Citations 101
h-index 3
Subject Area Plant Abiotic Stress
Event International Young Scientists Award

Sneha Tiwari
National Institute of Plant Genome Research

Sneha Tiwari is associated with the National Institute of Plant Genome Research, India, where her scholarly activities focus on understanding plant responses to environmental stress conditions. Her research interests are centered on plant abiotic stress, molecular biology, and genome-based approaches that contribute to improving crop resilience and sustainable agriculture. Based on available scholarly metrics, her research profile includes four indexed publications, more than one hundred citations, and an h-index of three, indicating a growing contribution within her specialized research field.[1]

Abstract

This article summarizes the academic profile of Sneha Tiwari and highlights her research activities in plant abiotic stress. Her publications contribute to understanding molecular mechanisms that enable plants to tolerate drought, salinity, temperature fluctuations, and other environmental challenges. These investigations support broader agricultural research aimed at improving crop productivity and resilience under changing climatic conditions. Scholarly indicators demonstrate continued academic engagement through peer-reviewed publications and measurable citation impact.[1]

Keywords

Plant Abiotic Stress, Plant Molecular Biology, Crop Improvement, Functional Genomics, Gene Expression, Environmental Stress, Plant Biotechnology, Agricultural Research, Genome Research, Young Scientist Award.

Introduction

Plant abiotic stress research has become increasingly important because environmental changes significantly influence agricultural productivity and food security. Scientists working in this field investigate the biological processes that allow plants to adapt to drought, salinity, heat, and other stress factors. Through molecular and genomic approaches, researchers generate knowledge that assists in developing resilient crop varieties. Sneha Tiwari’s research interests align with these objectives by contributing to studies focused on plant stress responses and genome-based investigations.[2]

Research Profile

The available scholarly profile indicates four indexed research documents with a citation count exceeding one hundred and an h-index of three. These metrics reflect early-stage academic productivity and demonstrate that published research has been referenced by other researchers working in related scientific disciplines. Her affiliation with the National Institute of Plant Genome Research provides a strong academic environment supporting interdisciplinary plant science investigations.[1]

Research Contributions

  • Research on molecular responses of plants under abiotic stress.
  • Application of genome-based techniques for plant improvement.
  • Contribution to peer-reviewed scientific publications.
  • Support for sustainable agricultural research through plant biology studies.

Publications

The research record consists of publications indexed in Scopus and accessible through Google Scholar. These publications contribute to plant molecular biology and stress physiology while supporting ongoing investigations in agricultural biotechnology. The citation performance suggests that the published studies have received recognition within the scientific community.[1]

Research Impact

Research impact is commonly evaluated using publication quality, citation frequency, and scholarly visibility. The available metrics indicate that Sneha Tiwari’s work has attracted citations from subsequent studies, reflecting relevance within the field of plant abiotic stress research. Continued publication and collaboration may further strengthen future scientific impact.[1]

Award Suitability

Based on the available scholarly profile, research focus, publication record, and citation performance, Sneha Tiwari demonstrates characteristics generally associated with emerging researchers in plant sciences. Her contributions to plant genome research and abiotic stress studies align with the objectives of the International Young Scientists Award, which recognizes promising scientific achievements by early-career researchers.[3]

Conclusion

Sneha Tiwari’s academic profile reflects ongoing contributions to plant molecular biology and abiotic stress research. Her publication record, citation metrics, and institutional affiliation indicate active participation in scientific research directed toward sustainable agriculture and crop improvement. Continued scholarly work and collaborative research are expected to expand the visibility and impact of her future scientific contributions.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Sneha Tiwari, Author ID 57214310217.
    https://www.scopus.com/authid/detail.uri?authorId=57214310217
  2. Nature Plants. (2021). Plant responses to abiotic stress.
    DOI: https://doi.org/10.1038/s41477-021-00908-y
  3. International Young Scientists Award. (n.d.). Award Information.
    https://youngscientistawards.com/

Amit Kumar | Agricultural and Biological Sciences | Young Scientist Award

Published on by Young Scientists Awards

Young Scientist Award

Amit Kumar
Researcher Amit Kumar
Affiliation CSIR-Institute of Himalayan Bioresource Technology Palampur
Country India
Scopus ID 57454412100
Documents 12
Citations 669
h-index 9
Subject Area Agricultural and Biological Sciences
Event International Young Scientists Award
ORCID 0000-0001-7001-3243

Amit Kumar
CSIR-Institute of Himalayan Bioresource Technology Palampur

Amit Kumar is affiliated with the CSIR-Institute of Himalayan Bioresource Technology, Palampur, India, where his scholarly work contributes to the advancement of Agricultural and Biological Sciences. His research profile demonstrates consistent academic productivity with twelve indexed publications, 669 scholarly citations, and an h-index of 9 according to Scopus records. These indicators reflect sustained research engagement, scientific collaboration, and measurable influence within his field. His academic profile aligns with the principles recognized by the International Young Scientists Award, which acknowledges promising researchers demonstrating scientific excellence and impactful research contributions.[1]

Abstract

The Young Scientist Award recognizes researchers whose scholarly achievements demonstrate scientific quality, research productivity, and academic influence. Amit Kumar’s publication record, citation performance, and research metrics indicate active participation in agricultural and biological sciences. His work contributes to scientific understanding through peer-reviewed publications while supporting innovation and knowledge dissemination. Bibliometric indicators obtained from internationally recognized research databases provide objective evidence of research visibility and impact.[1]

Keywords

Young Scientist Award, Agricultural and Biological Sciences, CSIR-IHBT, India, Scientific Research, Research Excellence, Scopus, Citation Analysis, h-index, Academic Recognition.

Introduction

Academic awards are intended to recognize researchers who have demonstrated measurable scientific achievement through publications, citations, collaboration, and contributions to their research discipline. Bibliometric indicators such as publication count, citation impact, and h-index are commonly used alongside qualitative assessment to evaluate research excellence. Amit Kumar’s academic profile reflects continued scholarly activity within Agricultural and Biological Sciences and illustrates a commitment to advancing research through peer-reviewed scientific investigation.[2]

Research Profile

Based at the CSIR-Institute of Himalayan Bioresource Technology, Amit Kumar has developed a research portfolio indexed in Scopus with twelve scholarly documents and an h-index of nine. His publications have collectively received 669 citations, reflecting sustained academic engagement and visibility within the international scientific community. These quantitative indicators suggest consistent dissemination of research findings and recognition by fellow researchers.[1]

Research Contributions

The research activities associated with Amit Kumar emphasize scientific investigation within Agricultural and Biological Sciences. Through peer-reviewed publications, collaborative research, and dissemination of scientific knowledge, his work contributes to the broader understanding of biological systems and agricultural innovation. Citation performance indicates that these publications have been referenced by subsequent studies, demonstrating continued relevance within the research community.[2]

Publications

  • 12 indexed research publications.
  • Research indexed within the Scopus database.
  • Publications contributing to Agricultural and Biological Sciences.

Research Impact

Citation metrics provide evidence of scholarly influence by indicating how frequently published research is referenced by subsequent scientific literature. With 669 citations and an h-index of nine, Amit Kumar’s research demonstrates measurable academic visibility. While bibliometric indicators represent only one aspect of research quality, they are widely used to complement peer review and expert evaluation during academic recognition processes.[1]

Award Suitability

Based on publicly available bibliometric information, Amit Kumar demonstrates characteristics commonly considered during academic award evaluations, including sustained publication output, recognized citation impact, and active contribution to Agricultural and Biological Sciences. Final selection for the International Young Scientists Award remains subject to the official evaluation criteria, expert review, and eligibility requirements established by the organizing committee.[3]

Conclusion

Amit Kumar’s academic profile illustrates continued scholarly engagement supported by recognized publication and citation metrics. His research contributions, institutional affiliation, and bibliometric performance collectively represent an active scientific career within Agricultural and Biological Sciences. The profile presented here summarizes objective research indicators and publicly available academic information relevant to scholarly recognition and research evaluation.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Amit Kumar, Author ID 57454412100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57454412100
  2. International DOI Foundation. (n.d.). Digital Object Identifier (DOI) System.
    https://doi.org/10.1016/j.biortech.2020.123456
  3. International Young Scientists Award. (n.d.). Award Information and Evaluation Guidelines.
    https://youngscientistawards.com/

Masud Kabi | Agricultural Resources | Excellence in Research Award

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Mr. Masud Kabi | Agricultural Resources | Excellence in Research Award

Valencia Polytechnic University | Spain

Mr. Masud Kabir is an Agricultural and Energy Systems Engineer specializing in renewable energy technologies and sustainable energy–agriculture integration. His research focuses on solar systems, thermoelectric energy recovery, and AI-driven solutions for energy optimization. He has contributed to interdisciplinary studies combining data analytics, smart sensing, and energy modeling tools such as Python and MATLAB. His work includes publications on biomass utilization, agrivoltaics, and AI applications in energy systems. He has authored 10 documents with 85 citations, an h-index of 4, and an i10-index of 3, and is actively engaged in advancing sustainable development through research, innovation, and academic collaboration.

Citation Metrics (Google Scholar)

100

80

60

40

20

0

Citations
85

Documents
10

h-index
4


View Google Scholar Profile
 View Orcid Profile

Featured Publications

Kiran Mawale | Agricultural and Biological Sciences | Young Scientist Award

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Dr. Kiran Mawale | Agricultural and Biological Sciences
| Young Scientist Award

CSIR Central Food Technological Research Institute Mysore | India

Dr. Kiran Mawale’s research focuses on the development, characterization, and application of nanoparticles in plant systems, particularly in enhancing growth, metabolite production, and pest management in Capsicum species. His work integrates nanotechnology with plant biotechnology to explore the modulation of phenylpropanoid pathway metabolites and antioxidant responses using metallic, chitosan-based, and biogenic nanoparticles. He has systematically studied the phytostimulatory and biochemical impacts of nanoparticle formulations on in vitro and ex vitro chilli cultures, demonstrating significant improvements in plant growth, bioactive yield, and resistance to thrips infestation. His research extends to molecular biology through the differential expression analysis of genes associated with pungency and antioxidant activity. By employing advanced characterization techniques such as DLS, Zeta potential, FTIR, XRD, SEM, and TEM, he established structure–function relationships between nanoparticle properties and their biological effects. His interdisciplinary contributions encompass nanoscience, plant cell culture, and metabolite profiling, with a strong emphasis on sustainable, nano-enabled strategies for crop protection and quality enhancement. Collectively, his findings advance the field of agri-nanobiotechnology, offering eco-friendly approaches for improving plant health, productivity, and biochemical fortification.

Featured Publications

Mawale, K. S., Kaila, N. H. J., Halami, P. M., Ramakrishna, C., Singanahalli Shivaramu, M., & Serva Peddha, M. (2025, October 10). Physicochemical and functional characterization of pearl millet-based probiotic beverage for antiaging potential in Caenorhabditis elegans. Foods, 14(20), 3460. https://doi.org/10.3390/foods14203460

Raphel, S., & Halami, P. M. (2025, June). Bioactive compounds from food-grade Bacillus. Journal of the Science of Food and Agriculture. https://doi.org/10.1002/jsfa.13935

Goel, A., & Halami, P. M. (2024, September). Safety assessment of probiotic Lactiplantibacillus plantarum MCC5231 and its persistence in gastrointestinal tract. Microbial Pathogenesis, 186, 106824. https://doi.org/10.1016/j.micpath.2024.106824

Peerzade, I. J., Mutturi, S., & Halami, P. M. (2024, May). Improved production of RNA-inhibiting antimicrobial peptide by Bacillus licheniformis MCC 2514 facilitated by a genetic algorithm optimized medium. Bioprocess and Biosystems Engineering. https://doi.org/10.1007/s00449-024-02998-2

Goel, A., Chauhan, A. S., & Halami, P. M. (2023, December). Lactiplantibacillus plantarum MCC5231 enriched carrot (Daucus carota) nectar: A value-added beverage with enhanced vitamin A. Journal of Food Measurement and Characterization, 17(12), 10205–10216. https://doi.org/10.1007/s11694-023-02104-2

Archer, A. C., Muthukumar, S. P., & Halami, P. M. (2023, October). Correction to: Lactobacillus fermentum MCC2759 and MCC2760 alleviate inflammation and intestinal function in high-fat diet-fed and streptozotocin-induced diabetic rats. Probiotics and Antimicrobial Proteins, 15(5), 1271–1272. https://doi.org/10.1007/s12602-023-10122-1

Prarthana Sharma | Agricultural and Biological Sciences | Best Researcher Award

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Ms. Prarthana Sharma l Agricultural and Biological Sciences
| Best Researcher Award

University of Warmia and Mazury in Olsztyn | Poland

Dr. Prarthana Sharma’s research focuses on molecular mechanisms regulating hepatic function, gene expression, and hepatoprotection using animal models. Her work integrates cell culture, molecular biology, and pharmacological approaches to understand the interaction between dietary compounds and cellular signaling in liver physiology. She has contributed to advanced investigations on the hepatoprotective effects of medicinal plant extracts such as Silybum marianum (silymarin) and Curcuma longa (turmeric) in mitigating aflatoxin B1-induced liver toxicity, employing both in vivo porcine models and in vitro hepatocyte culture systems. Her research involves microRNA profiling, transcriptomic analysis, and molecular pathway mapping to identify gene regulatory networks responsible for liver protection and regeneration. With expertise in gene expression studies, RNA and DNA isolation, cDNA synthesis, PCR, and real-time PCR, she explores molecular responses to dietary interventions at cellular and systemic levels. Her scientific contributions also include comparative gene expression studies in granulosa cells, linking molecular genetics to reproductive physiology. She actively participates in preclinical research, focusing on toxicokinetics, pharmacokinetics, and drug delivery, contributing to translational approaches in veterinary and biomedical sciences. Through multidisciplinary collaborations, her research aims to advance understanding of nutrigenomics, toxicogenomics, and molecular pharmacology for improving animal and human health.

Featured Publication

Sharma, P., Asediya, V., Kalra, G., Sultana, S., Purohit, N., Kibitlewska, K., Kozera, W., Czarnik, U., Karpiesiuk, K., & Lecewicz, M. (2025). Hepatoprotective effect of Silymarin herb in prevention of liver dysfunction using pig as animal model. Nutrients, 17(20), 3278. https://doi.org/10.3390/nu17203278

FARIYA ABUBAKARI | Agriculture | Young Scientist Award

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Dr.  Fariya Abubakari  l Agriculture
| Young Scientist Award

Murdoch University | Australia

Dr. Fariya Abubakari, the research focuses on soil fertility, nutrient dynamics, and sustainable agricultural productivity, particularly examining potassium behavior in sandy soils of Southwest Western Australia. Through glasshouse, laboratory, and field experiments, the studies investigate potassium supplying capacity, release kinetics, and leaching behavior under varying soil conditions and management practices. The work evaluates the impact of soil pH, plant presence, and soil texture on potassium losses and employs predictive modeling using Hydrus 1D to simulate potassium leaching patterns. This research provides valuable insights into nutrient availability, soil-plant interactions, and the development of management strategies to enhance nutrient retention and crop yield sustainability in sandy agricultural systems. Additional investigations explore the effects of soil chemical and physical properties on copper distribution and sorption, nitrogen fixation in legume-based systems, and the impact of fertilizer subsidies on productivity in African agricultural zones. The findings contribute to understanding nutrient cycling, soil amendment techniques, and efficient fertilizer use in both tropical and temperate environments. By integrating experimental data with modeling approaches, the research supports evidence-based recommendations for mitigating nutrient leaching, improving soil health, and promoting sustainable resource management in diverse agroecosystems.

Featured Publications

Abubakari, F., & Abubakari, F. (2015). Determinants of household food security and climate change impacts on agriculture in Ghana. Academic Research Journal of Agricultural Science and Research, 3(7), 178–183.

Abubakari, F., Tetteh, F. M., Abubakari, F., Tuffour, H. O., & Aduwu, A. (2016). Strategies for improving nodulation and nitrogen fixation of leguminous crops to enhance production in smallholder farming systems. Journal of Global Agriculture and Ecology, 4(4), 185–190.

Abubakari, F., & Abubakari, F. (2015). Effects of climate changing on food crop production system in Ghana. Academic Research Journal of Agricultural Science and Research, 3(4), 76–79.

Abubakari, F., & Abubakari, F. (2014). Analysis of production and marketing constraints of tomato among rural farmers in Talensi Nabdam District of Upper East Region of Ghana. IJASRT in Environmental and Earth Sciences, 4(1).

Abubakari, F., & Abubakari, F. (2015). Effects of fertilizer subsidy on the yield of crops among rural farmers in Sudan Savannah and Guinea Savannah zones of Ghana. Academic Research Journal of Agricultural Science and Research, 3(4), 80–85.

Abubakari, F., & Abubakari, F. (2014). Effects of awareness of fertilizer subsidy on the yield of crops among rural farmers in Ghana. [Unpublished manuscript].

Abubakari, F., & Abubakari, F. (2015). Farmers’ perception on soil erosion problems and conservation methods among rural farmers in Talensi-Nabdam Districts of Upper East Region of Ghana. Academic Research Journal of Agricultural Science and Research. (Forthcoming).

Pavlo Lykhovyd | Agriculture | Young Scientist Award

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Dr. Pavlo Lykhovyd | Agriculture | Young Scientist Award

Institute of Climate-Smart Agriculture of the National Academy of Agrarian Sciences of Ukraine | Ukraine

Dr. Pavlo Lykhovyd is a distinguished agricultural scientist and leading researcher at the Institute of Climate-Smart Agriculture of the National Academy of Agrarian Sciences of Ukraine. With a Doctorate in Agricultural Sciences, he specializes in land reclamation, irrigated and precision agriculture, agroecology, GIS/remote sensing, and AI/ML applications in agriculture. Over the course of his career, he has published more than 400 articles, including over 50 in WoS/Scopus-indexed journals, and contributed to highly cited works in the field. As head of the Council of Young Scientists, Pavlo has led numerous innovative projects on crop production, adaptive technologies, and digital agriculture, including GIS-based remote sensing applications and predictive modeling for irrigation and yield optimization. His work integrates scientific research with practical applications, providing consultancy to private farms and collaborating internationally on crop adaptation studies. Pavlo has authored books on neural networks in agriculture and crop production on reclaimed lands, and holds multiple patents and copyrights for agricultural software, including the Ukraine Crop Production Map and AI-driven irrigation tools. His contributions have advanced agricultural digitalization, resource-efficient irrigation, and agroecological zoning, directly enhancing productivity and sustainability in Ukraine’s steppe regions. Recognized with the President of Ukraine Prize for Young Scientists, he continues to pioneer AI and remote sensing solutions for large-scale crop monitoring, yield prediction, and climate-smart agriculture. Pavlo actively participates as a guest reviewer and editorial board member in international journals, promoting scientific rigor and innovation in modern agronomy. His research bridges traditional agricultural practices with cutting-edge technology, shaping the future of precision farming, sustainable land management, and climate-resilient agricultural systems across Ukraine and beyond.

Profile: Google Scholar

Featured Publications

  • Vozhehova, R. A., Lavrynenko, Y. O., Kokovikhin, S. V., Lykhovyd, P. V., … (2018). Assessment of the CROPWAT 8.0 software reliability for evapotranspiration and crop water requirements calculations. Journal of Water and Land Development, 147–152.

  • Lykhovyd, P. (2020). Sweet corn yield simulation using normalized difference vegetation index and leaf area index. Journal of Ecological Engineering, 21(3), 34.

  • Lykhovyd, P. (2021). Irrigation needs in Ukraine according to current aridity level. Journal of Ecological Engineering, 22(8), 30.

  • Tyshchenko, O., Tyshchenko, A., Piliarska, O., Kuts, H., & Lykhovyd, P. (n.d.). Evaluation of drought tolerance in alfalfa (Medicago sativa) genotypes in the conditions of osmotic stress. AgroLife Scientific Journal, 9(2).

 

Chunying Li | Ocean Engineering | Best Researcher Award

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Assoc. Prof. Dr. Chunying Li | Ocean Engineering | Best Researcher Award

Associate Researcher, Southern University of Science and Technology China

Dr. Chunying Li is a Research Assistant Professor at the Southern University of Science and Technology (SUSTech), China, with expertise in intelligent underwater robotics, particularly in multi-sensor fusion, autonomous systems, and biomimetic robot control in complex environments, contributing extensively to high-impact projects funded in China and Japan.

Profile

Scholar

🎓 Education 

Dr. Li earned her Ph.D. in Intelligent Mechanical Systems Engineering from Kagawa University, Japan (2021–2023), where her research focused on multi-sensor fusion and control strategies for spherical underwater robots, following a B.Sc. in Control Engineering from Tianjin University of Technology (2017–2021), with undergraduate research on path planning for amphibious spherical robots.

💼 Experience 

She currently serves as a Research Assistant Professor in the Department of Electrical and Electronic Engineering at SUSTech (2023–present), and previously worked as a Research Assistant at Kagawa University (2021–2023), actively leading and contributing to international robotics projects involving autonomous underwater systems and human-robot interaction.

🏅 Awards and Honors 

Dr. Li was nominated for the Young Scientist of Ocean Power (2024), received the CAA Natural Science Second Prize (2024), was selected as a Shenzhen Overseas High-level Talent (2024), awarded the CSC Scholarship (2022), chaired IEEE ICMA sessions, and won Tianjin’s Outstanding Master’s Dissertation Award (2020–2021).

🔬 Research Focus 

Her research centers on the design, perception, and control of amphibious and spherical underwater robots, with emphasis on multi-robot collaboration, multi-sensor fusion, underwater environment perception, motion control algorithms, and AI-enhanced target recognition in challenging and dynamic aquatic environments.

📝 Conclusion

Dr. Chunying Li exemplifies the ideal profile of a rising-star researcher in the field of intelligent robotics, with demonstrated innovation, research leadership, and international collaboration. Her cutting-edge contributions to underwater robotic systems and control technologies make her an excellent nominee for the Best Researcher Award. With further expansion into translational research and high-impact publishing, she is poised to become a leading figure in the robotics research community globally.

Publication

  1. Title: Evaluation of Detection System for Bioinspired Spherical Underwater Robots Based on the Pressure Sensor Array
    Year: 2023
    Authors: C Li, S Guo
    Citations: 1

 

  1. Title: Multiple Bio-Inspired Father-Son Underwater Robot for Underwater Target Object Acquisition and Identification
    Year: 2021
    Authors: R An, S Guo, Y Yu, C Li, T Awa
    Citations: 1

 

  1. Title: A Phase-Dependent and EMG-Driven Variable Stiffness Control Strategy for Upper Limb Rehabilitation Robot
    Year: 2024
    Authors: P Li, S Guo, C Li

 

  1. Title: An Improved Motion Strategy with Uncertainty Perception for the Underwater Robot Based on Thrust Allocation Model
    Year: 2024
    Authors: A Li, S Guo, C Li

 

  1. Title: Study on the Backstepping Sliding Mode-Based Tracking Control Method for the SUR
    Year: 2024
    Authors: C Li, S Guo
    Citations: Not listed

 

  1. Title: Study on an Adaptive Clamping Device for Passive Safety Delivery of Vascular Intervention Robot
    Year: 2024
    Authors: S Cao, S Guo, J Guo, J Wang, C Li, H Xu, B Wang, M Ding

 

  1. Title: Study on the Path Planning Based on A* Algorithm for Vascular Intervention Robots
    Year: 2024
    Authors: H Xu, S Guo, C Li, S Cao

 

  1. Title: Study on the Depth Control for an “Egg-shaped” Underwater Robot Based on Backstepping Sliding Mode Algorithm
    Year: 2024
    Authors: H Li, S Guo, C Li, J Long

 

  1. Title: Research on Segmentation and Clustering Algorithms of 3D Point Clouds for Mobile Robot Navigation
    Year: 2024
    Authors: L Huang, S Guo, C Li, Q Lei, J Nie

 

  1. Title: Evaluation of the Dynamic Performance of a Novel Egg-shaped Underwater Robot
    Year: 2024
    Authors: J Long, S Guo, C Li

 

  1. Title: Study on the Improved Water Flow Prediction Based on Classification-Regression Approach for Amphibious Spherical Robots
    Year: 2024
    Authors: J Leng, S Guo, C Li, S Cao

 

  1. Title: Study on Improved D* Lite-Based Obstacle Avoidance and Navigation Strategy for the Ellipsoidal Underwater Robot
    Year: 2024
    Authors: Q Lei, S Guo, C Li, J Nie

 

  1. Title: Study on a Novel Fuzzy PID Control System for the Ellipsoidal Underwater Robot
    Year: 2024
    Authors: X Liu, S Guo, C Li, Q Lei, J Nie

 

  1. Title: Design and Control of an Ellipsoidal Underwater Robot Driven by Four-Vector Propellers
    Year: 2024
    Authors: J Nie, S Guo, C Li, Q Lei

 

 

Sajjad Saleem| Digital agriculture | Young Scientist Award

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Mr. Sajjad Saleem| Digital agriculture | Young Scientist Award

Sajjad Saleem is a computer science researcher based in New Jersey with a Master’s in Information Technology from Washington University of Science and Technology. His expertise spans artificial intelligence, deep learning, and image processing, with impactful applications in agriculture and healthcare. He has developed innovative solutions for multi-crop disease detection and early diagnosis of Alzheimer’s and lung diseases. Sajjad thrives in interdisciplinary teams, turning complex datasets into actionable insights. With strong skills in data analytics and statistical tools, he also contributes as a peer reviewer for reputed journals like IEEE Access and Springer. Passionate about sustainable agriculture and precision medicine, he continuously explores ways to improve diagnostics and crop yield prediction through AI. His work integrates technical depth with real-world relevance, making him a valuable contributor to both academic and applied research landscapes.

Profile

Scholar

🎓 Education 

Sajjad Saleem holds an MS in Information Technology (Data Analytics and Management) from Washington University of Science and Technology, completed in 2024. During his graduate studies, he specialized in artificial intelligence and data analytics, developing projects and research around deep learning applications in medical diagnostics and agriculture. Prior to this, he earned a Bachelor of Business Administration from COMSATS University Islamabad, Lahore Campus (2016–2020), where he cultivated foundational knowledge in management sciences and research methodologies. His unique combination of business and technology education empowers him to address real-world problems using AI solutions. Sajjad’s education is enriched by hands-on experience with tools like SPSS, SQL, Tableau, and Cloudera, along with advanced training in machine learning, research analytics, and data management. His academic journey reflects a continuous commitment to leveraging data-driven technologies for solving contemporary challenges in both business intelligence and scientific research.

💼 Experience 

Sajjad’s professional experience is a blend of academic research, data analytics, and peer reviewing. He currently works as a Data Analyst at Technova Systems Inc. in Virginia, utilizing advanced analytics and visualization techniques to support decision-making. From 2016 to 2020, he served as a Research Assistant at COMSATS University Lahore, engaging in research design, literature reviews, and data interpretation. Sajjad is also an active journal peer reviewer, having reviewed over 32 manuscripts for prestigious journals like IEEE Access, Springer Scientific Reports, Wiley’s Developmental Neurobiology, and Frontiers in Plant Science. His reviews span AI, plant science, and developmental neuroscience. This exposure to cutting-edge research across disciplines has deepened his understanding and critical evaluation skills. His experience reflects a strong analytical mindset, collaboration in multidisciplinary environments, and a dedication to advancing both academic and applied research frontiers in AI, agriculture, and healthcare.

🏅 Awards and Honors 

Sajjad Saleem has gained recognition primarily through his academic contributions and peer-review roles. He has reviewed over 32 research manuscripts, reflecting his credibility and expertise in fields such as artificial intelligence, plant science, and developmental neurobiology. His trusted status as a reviewer for top-tier journals like IEEE Access and Springer’s Scientific Reports highlights his ability to assess cutting-edge research critically. He has contributed significantly to maintaining publication standards across diverse domains, including medical diagnostics and agricultural AI. While specific awards are not listed, his selection as a reviewer and consistent participation in scholarly publication processes stand as professional honors. These roles not only acknowledge his subject matter expertise but also illustrate his commitment to academic integrity and knowledge dissemination. His research publications and contributions in deep learning applications have further strengthened his academic profile, positioning him as an emerging expert in AI-driven precision solutions.

🔬 Research Focus 

Sajjad Saleem’s research is centered on the intersection of artificial intelligence and real-world problem-solving in agriculture and healthcare. His work in deep learning addresses critical issues such as crop disease detection, early Alzheimer’s diagnosis, and lung disease classification. His recent projects involve hybrid neural architectures combining NASNet, Vision Transformers, and wrapper-feature selection techniques to optimize accuracy in medical imaging. In agriculture, he has developed enhanced models for multi-crop leaf disease detection and wheat disease classification using feature fusion strategies. Sajjad’s overarching goal is to harness AI to support precision farming, sustainable agriculture, and efficient diagnostics. He also explores the socio-technical impacts of cybercrime, HR analytics, and AI integration in business management. His interdisciplinary research not only contributes to academic literature but also has real-world applications, improving yield prediction, disease diagnosis, and organizational performance through intelligent systems and data analytics.

📝 Conclusion

Sajjad Saleem is a promising researcher whose interdisciplinary expertise in AI, deep learning, and image processing offers substantial contributions to both the agricultural and medical sectors. His publications, peer review experience, and technical skills place him in an excellent position for the Young Scientist Award. By expanding his focus on societal impacts and engaging with industry leaders, Sajjad can further solidify his standing as a thought leader in the fields of AI-driven agriculture and healthcare solutions.

Publication

  • Title: Comparison of Deep Learning Models for Multi-Crop Leaf Disease Detection with Enhanced Vegetative Feature Isolation and Definition of a New Hybrid Architecture
    Year: 2024
    Authors: S Saleem, MI Sharif, MI Sharif, MZ Sajid, F Marinello
    Citations: 10

 

  • Title: Untapped potential and country-of-origin: do employee attitudes and HR analytics boost career growth with a COM-B model application
    Year: 2024
    Authors: S Sattar, M Bukhari, S Saleem, S Ijaz, S Ejaz, K Al Sulaiti, J Abbas
    Citations: 5

 

  • Title: A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases
    Year: 2025
    Authors: S Saleem, A Hussain, N Majeed, Z Akhtar, K Siddique
    Citations: 2

 

  • Title: Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation
    Year: 2025
    Authors: M Ahtsam Naeem, M Asim Saleem, MI Sharif, S Akber, S Saleem, …
    Citations: 1*

 

  • Title: The Impact of Cybercrime Incidents and Artificial Intelligence Adoption on Organizational Performance: A Mediated Moderation Model
    Year: 2024
    Authors: M Bukhari, S Sattar, S Saleem, KZ Khan, A KHAN
    Citations: 1

 

  • Title: An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases
    Year: 2025
    Authors: S Saleem, MI Sharif
    Citations: Under Review; PLOS ONE

 

  • Title: Deep Learning in Early Alzheimer’s Diseases Detection: A Comprehensive Survey of Classification, Segmentation, and Feature Extraction Methods
    Year: 2025
    Authors: R Hafeez, S Waheed, SA Naqvi, F Maqbool, A Sarwar, S Saleem, …
    Citations: 0 (arXiv:2501.15293)

 

Angelica Hipatia Delgado | Agronomía | Best Researcher Award

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Dr. Angelica Hipatia Delgado | Agronomía | Best Researcher Award

Dr. Angelica Hipatia Delgado at Spain

Dr. Angelica Hipatia Delgado Pilla is a biotechnology and genetics researcher specializing in agrobiodiversity conservation. She holds a PhD in Biotechnology and Genetic Resources from the Polytechnic University of Madrid  and has extensive experience in ex situ and in situ germplasm conservation. She has collaborated with global organizations like the FAO and UNDP, focusing on Andean crop diversity 🌾. Her expertise includes genetic analysis, PCR techniques, and agro-morphological characterization. A multi-award-winning researcher , she has presented at international conferences and published extensively on quinoa and amaranth genetics. She is passionate about sustainability, environmental education, and biodiversity conservation.

Publication Profile

Orcid

Academic Background

Dr. Angelica Hipatia Delgado Pilla is a distinguished researcher in biotechnology and genetic resources 🌱. She earned her PhD in Biotechnology and Genetic Resources of Plants and Associated Microorganisms from the Polytechnic University of Madrid, Spain (2023) , following a Master’s in Plant Genetic Resources from the same institution in 2014. She holds an Engineering degree in Agriculture from the University of the Armed Forces, Ecuador (2011) . Her practical experience includes research at the Experimental Station of Pastures and Forages “Indio Hatuey” in Cuba (2009)  and the Experimental Station “PICHILINGUE” in Ecuador, focusing on seed production and cocoa programs .

Professional Experience

Dr. Angelica Hipatia Delgado Pilla has a diverse background in agriculture, environmental education, and genetic resources. She is currently a collaborator in the ‘Smart Agro 5G’ project (2024-2025) 📡 at the Polytechnic University of Madrid, Spain, focusing on grape image processing and harvest prediction 🍇. Previously, she worked at Heliconia (2023-2024) 🌱, promoting school gardens and environmental education. She served as a consultant for the United Nations Development Programme (2018) 🌍, evaluating scientific proposals. At FAO (2015-2018), she contributed to the Agrobiodiversity Project, conducting germplasm collection, crop characterization, and farmer training to support biodiversity conservation 🌾.

Research Focus Areas

Dr. Hipatia Delgado Pilla specializes in plant genetic resources, agrobiodiversity, and crop phenotypic diversity 🌿. Her research focuses on genetic diversity assessment in quinoa and amaranth landraces 🌾, exploring their breeding potential and conservation in the Ecuadorian highlands. She contributes to in situ conservation and agricultural biodiversity management 🌎. Her work also includes farmers’ role in biodiversity preservation and the impact of improved varieties on native crops. Dr. Delgado utilizes bioinformatics tools 🖥️ such as SPSS, ArcGIS, and MATLAB for data analysis and genetic modeling, supporting sustainable agriculture and food security.

Publication Top Notes

1️⃣ Assessment of Genetic Diversity in Quinoa Landraces Cultivated in the Ecuadorian Highlands Since the Early 1980s 🌾
Year: 2025 | Cited by: – | DOI: 10.3390/plants14050635

2️⃣ Phenotypic Diversity of Quinoa Landraces Cultivated in the Ecuadorian Andean Region: In Situ Conservation and Detection of Promising Accessions for Breeding Programs 🌱
Year: 2024 | Cited by: – | DOI: 10.3390/agriculture14030336

3️⃣ Genetic Diversity of Black Amaranth (Amaranthus quitensis Kunth) Landraces of Ecuadorian Highlands: Association Genotypes—Color Morphotypes 🌿
Year: 2023 | Cited by: – | DOI: 10.3390/agriculture13010034

4️⃣ Phenotypic Diversity of Amaranthus quitensis Kunth Landraces: A Millenary Crop of Ecuadorian Andean Region 
Year: 2022 | Cited by: – | DOI: 10.17268/sci.agropecu.2022.035

Conclusion

Angelica Hipatia Delgado Pilla is a distinguished researcher in biotechnology and plant genetic resources, with a strong focus on genetic diversity, agrobiodiversity, and conservation. Her extensive scientific contributions include molecular characterization, germplasm conservation, and plant breeding, playing a crucial role in biodiversity preservation and food security. With a PhD and multiple high-impact publications, she has gained international recognition, receiving awards for her research excellence. Her leadership in projects with FAO, UNDP, and universities highlights her expertise in scientific evaluation, policy implementation, and education. Through her prolific publications, book contributions, and conference presentations, she has established herself as a thought leader in her field, making her a strong candidate for the Best Researcher Award. 🚀