Dušica Ilić | Plant Material | Women Researcher Award

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Dr. Dušica Ilić | Plant Material | Women Researcher Award

Research Associate | University of Niš | Serbia

Dr. Dušica Ilić is a distinguished Research Associate in the field of technical and technological sciences, affiliated with the Faculty of Technology in Leskovac, University of Niš. She holds a PhD in Technical and Technological Sciences, earned through an accelerated study program, with a specialization in the synthesis and pharmacological profiling of bioactive compounds. Dr. Ilić’s academic foundation includes a graduate degree in wastewater treatment technologies and early training as a medical technician, demonstrating a multidisciplinary approach to science. Her professional experience spans leading roles in academic and industrial research, including contributions to national projects on pharmaceutical-cosmetic formulations, bioactive plant compounds, wastewater purification, and ICT applications in medicine and energy. She has served as a technologist, scientific associate, and educator, contributing to teaching, mentoring, and practical training at multiple institutions, including the Electronic Faculty in Niš and the Alfatec Research Center. Her research focuses on organic synthesis, phytopharmaceuticals, drug delivery systems, and the development of environmentally and clinically relevant technologies. Dr. Ilić has authored numerous scientific publications, contributed a book chapter, and developed innovative solutions with recognized national impact. A recipient of awards for academic excellence and human rights engagement, she is certified in English language proficiency, proficient in scientific computing tools, and holds membership in the Serbian Chemical Society. Her work is marked by a commitment to interdisciplinary collaboration, scientific rigor, and the practical application of research in both academic and industrial settings. She has 346 citations across 19 documents and holds an h-index of 11.

Profiles: Scopus | ORCID

Featured Publications

1. Ilić, D. P., Troter, Z. D., Stanojević, S. J., Cvetković, J. D., & Ristić, S. I. (2025). Intensified microwave-assisted hydrodistillation produces trans-anethole-rich fennel (Foeniculum vulgare Mill.) fruit essential oil. Chemical Industry and Chemical Engineering Quarterly.

2. Maletin, A., Ristić, I., Nešić, A., Knežević, M. J., Koprivica, D. Đ., Cakić, S., Ilić, D., Milekić, B., Puškar, T., & Pilić, B. (2023). Development of light-polymerized dental composite resin reinforced with electrospun polyamide layers. Polymers, 15(12), 2598.

3. Ilić, D., & Vukotić, D. (2023, November 13). Innovative extraction technologies. Trends in Horticulture, 6(2).

4. Ilić, D. P., Troter, Z. D., Ristić, I. C., Konstantinović, S. S., Stanojević, L. P., & Danilović, B. R. (2023, May 17). New technical solution (not commercialized). MN

5. Илић, Д. П., Тротер, Д. З., Ристић, И. С., Константиновић, С. С., Станојевић, Ј. С., Станојевић, Љ. П., & Даниловић, Б. Р. (2023, May 17). Technological process for the isolation of essential oil with enhanced antimicrobial activity from ground fennel fruit (Foeniculum vulgare Mill.) [Technical standard]. Technological Faculty Leskovac; Faculty of Electronic Engineering Niš; Technological Faculty Novi Sad.

Mona Maze | Environmental Studies | Best Researcher Award

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Assist. Prof. Dr. Mona Maze | Environmental Studies | Best Researcher Award

Assistant Professor | Agricultural Research Center | Egypt

Dr. Mona Maze is an Assistant Professor at the Agricultural Research Center, Central Laboratory for Agricultural Climate in Egypt, and an accomplished scholar in agricultural sciences with expertise in climate change, plant nutrition, data-driven agriculture, and digital innovation for sustainable farming. She earned her Ph.D. in Plant Nutrition from the Technical University of Munich, where she developed predictive models for wheat performance under water stress and climate change, building on an M.Sc. in Plant Ecology from Cairo University and a B.Sc. in Science from Ain Shams University, further strengthened by advanced training in computer science, machine learning, and spatial data science. Her professional career spans Egypt and Germany, including roles at the Bavarian State Research Center for Agriculture, where she advanced renewable energy and sustainability projects, and leadership in national and USAID-funded projects that integrate artificial intelligence, remote sensing, and big data into agricultural systems. She has spearheaded initiatives such as Egypt’s Digital Dynamic Agricultural Map and web-based decision support tools for irrigation, fertilization, and crop protection, in collaboration with leading organizations including Microsoft and ESRI. Dr. Maze’s research focuses on climate change impacts on agriculture, greenhouse gas mitigation, precision farming, and the integration of AI with ecological modeling, contributing significantly to Egypt’s greenhouse gas inventory and advancing climate-smart agriculture practices. With a distinguished record of publications, international collaborations, and technology-driven solutions that enhance resilience and productivity, she exemplifies innovative leadership at the intersection of environmental science and digital transformation, making her a strong candidate for recognition.

Profiles: Scopus | ORCID

Publications

Maze, M., Attaher, S., Taqi, M. O., Elsawy, R., Gad El-Moula, M. M. H., Hashem, F. A., & Moussa, A. S. (2025). Enhanced agricultural land use/land cover classification in the Nile Delta using Sentinel-1 and Sentinel-2 data and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing, 209, 282–296.

Maze, M., Attaher, S., Taqi, M. O., Elsawy, R., Gad El-Moula, M. M. H., Hashem, F. A., & Moussa, A. S. (2025, February 17). Exploring diverse AI models for enhanced land use and land cover classification in the Nile Delta, Egypt using Sentinel-based data [Preprint]. Preprints.

Salah, M., Maze, M., & Tonbol, K. (2024). Intersecting vulnerabilities: Climate justice, gender inequality, and COVID-19’s impact on rural women in Egypt. Multidisciplinary Adaptive Climate Insights, 1(2), 1041–1058.

Maze, M., Taqi, M. O., Tolba, R., Abdel-Wareth, A. A. A., & Lohakare, J. (2024). Estimation of methane greenhouse gas emissions from livestock in Egypt during 1989 to 2021. Scientific Reports, 14, 12345.

Hijazi, O., Schoo, D., Schweiger, A., Maze, M., & Bernhardt, H. (2023). Comparative life cycle assessment of FarmBot technology with conventional and organic agriculture. In Proceedings of the 2023 ASABE Annual International Meeting (Paper No. 2300749). American Society of Agricultural and Biological Engineers.

Anna Vatsanidou | Environmental Assessment | Best Academic Researcher Award

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Assist. Prof. Dr. Anna Vatsanidou | Environmental Assessment | Best Academic Researcher Award

Assistant Professor at National and Kapodistrian University of Athens | Greece

Dr. Anna Vatsanidou is an Assistant Professor at the Department of Agricultural Development, Agri-Food and Natural Resources Management, National and Kapodistrian University of Athens (NKUA). She is an accomplished agriculturist with extensive expertise in precision and sustainable agriculture, environmental impact assessment, and life cycle analysis of agri-food systems. Her academic path and professional journey reflect a strong commitment to advancing agri-food sustainability and contributing to innovative solutions for global agricultural challenges.

Professional Profiles

ORCID | Google Scholar

Education

Dr. Vatsanidou holds a Master’s degree in Integrated Agricultural Production Systems and a Doctorate in Environmental Assessment from the Department of Agriculture, Crop Production and Rural Environment at the University of Thessaly. Her doctoral research laid the foundation for her specialized expertise in evaluating environmental impacts within agricultural and food production systems. During this period, she gained a deep understanding of sustainable agricultural practices, system optimization, and the application of environmental models to assess agricultural inputs and outputs. Her multidisciplinary training combines agronomy, environmental sciences, and technological innovation, equipping her with the tools to address complex challenges in modern agriculture.

Experience

Dr. Vatsanidou has developed a distinguished career spanning academia, research institutes, and both public and private organizations. She began as an agronomist in public agencies, gaining valuable experience in agricultural systems and their operational challenges. Expanding into the private sector, she focused on applied agricultural practices and project implementation. At the Benaki Phytopathological Institute, she served as project manager, coordinating multidisciplinary teams and advancing research outcomes into practical strategies. Her academic pathway includes serving as a PhD Researcher at CERTH’s Institute of Bio-Economics and Agrotechnology, specializing in environmental impact assessment. She has also collaborated as an external fellow with the Agricultural University of Athens and the University of Thessaly. Currently, she is an Assistant Professor at NKUA, teaching, mentoring, and leading projects in precision agriculture and sustainability.

Research Focus

Dr. Vatsanidou’s research is centered on the evaluation and development of precision agricultural techniques, environmental footprint analysis, and sustainable production systems. A core component of her work is the application of life cycle assessment (LCA) to evaluate environmental impacts across the agri-food chain, from primary production to processing. Her studies address key challenges in climate-smart agriculture, sustainable resource management, and environmental protection, with an emphasis on balancing productivity with ecological sustainability. She has made significant contributions to precision farming technologies for crop protection, environmental assessment of emission reduction technologies, and the integration of innovative tools such as imaging recognition and digital algorithms in agriculture. Her research supports the global transition towards agriculture 4.0 and 5.0 by incorporating digitalization, automation, and sustainable practices into farming systems.

Publication Top Notes

Title: Freshness Prediction for Apples & Lettuces
Authors: Chrysanthos Maraveas; George Kalitsios; Marianna I. Kotzabasaki; Dimitrios V. Giannopoulos; Kosmas Dimitropoulos; Anna Vatsanidou
Summary: Presents a mobile app that combines imaging recognition with advanced algorithms to predict fruit and vegetable freshness in real time. The tool helps reduce food waste and ensures better quality monitoring along the supply chain.

Title: Life Cycle Assessment of Insect vs. Conventional Feed
Authors: Anna Vatsanidou; Styliani Konstantinidi; Eleftherios Bonos; Ioannis Skoufos
Summary: Compares the environmental impact of conventional and insect-based protein feeds using life cycle assessment (LCA). Findings highlight insect-based proteins as a sustainable alternative for animal production.

Title: Biopolymer Nanopesticides for Degradation
Authors: Chrysanthos Maraveas; Giasemi K. Angeli; Anna Vatsanidou; Marianna I. Kotzabasaki
Summary: Reviews the design of biopolymer-based nanopesticides aimed at improving pesticide degradation. Emphasizes eco-friendly nanotechnology solutions to enhance crop protection while reducing environmental risks.

Title: Cybersecurity in Agriculture 4.0 & 5.0
Authors: Chrysanthos Maraveas; Muttukrishnan Rajarajan; Konstantinos G. Arvanitis; Anna Vatsanidou
Summary: Analyzes cybersecurity challenges in digital agriculture, covering precision farming and smart technologies. Proposes risk mitigation measures to protect agricultural data, devices, and infrastructures.

Title: Emission Reduction in Livestock Systems
Authors: Vasileios Anestis; Anna Vatsanidou; Thomas Bartzanas
Summary: Examines emission reduction strategies in livestock systems. Evaluates their effectiveness, environmental benefits, and potential adoption, supporting sustainable practices in animal production.

Conclusion

Dr. Anna Vatsanidou is an innovative and impactful researcher whose work bridges the fields of agriculture, environmental science, and digital technology. Her commitment to sustainability, leadership in major international projects, and contributions to both academic scholarship and practical applications mark her as an outstanding candidate for recognition. Through her teaching, research, and collaborations, she continues to advance sustainable agricultural development while shaping the next generation of agricultural scientists. Her work exemplifies excellence in addressing the pressing challenges of food security, environmental stewardship, and technological innovation in the agri-food sector.

Maofu Pang | Plastics Upcycling | Best Researcher Award

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Dr. Maofu Pang | Plastics Upcycling | Best Researcher Award 

Lecturer at Ludong University, China.

Dr. Maofu Pang is a dedicated chemist whose research bridges organometallic chemistry, catalysis, and sustainable material science. His pioneering work in cobalt- and iron-catalyzed transformations, coupled with recent advances in plastic recycling and upcycling, has significantly contributed to the advancement of green chemistry and the circular economy. Through high-impact publications and innovative projects, he has emerged as a promising researcher committed to environmental sustainability and the development of efficient catalytic systems.

Proffesional Profile

Scopus 

Education

Dr. Pang’s academic journey reflects a strong foundation in chemistry and chemical engineering. He began with a bachelor’s degree in Chemical Engineering and Technology, where he developed an interest in catalysis and reaction mechanisms. He further advanced his expertise with a master’s degree in Organic Chemistry, focusing on cobalt-catalyzed hydroboration of imines and alkenes, emphasizing metal-ligand cooperation for B–H bond cleavage. His doctoral studies in Organometallic Chemistry deepened his research into cobalt-catalyzed partial transfer hydrogenation of N-heterocycles and the synthesis of heteronuclear complexes. Mentored by distinguished professors, he developed advanced skills in designing catalytic systems for selective organic transformations, laying the groundwork for his subsequent career in sustainable chemistry.

Experience

Currently serving as a faculty member at the School of Chemistry and Chemical Engineering, Ludong University, Dr. Pang’s research spans catalysis, plastic upcycling, and sustainable chemistry. His expertise lies in the design and mechanistic understanding of transition-metal complexes, particularly cobalt, iron, and manganese catalysts, applied to hydrogenation, hydroboration, and polymer degradation processes. His recent work has expanded into catalytic upcycling of polyesters and polycarbonates, transforming plastic waste into value-added chemicals through environmentally friendly methodologies. This innovative approach integrates catalysis with sustainability, directly addressing global environmental challenges.

Research Focus

Dr. Maofu Pang’s research centers on the design, development, and mechanistic study of transition-metal catalysts for sustainable chemical transformations. His work spans cobalt-, iron-, and manganese-based systems with applications in hydrogenation, hydroboration, and polymer degradation. By combining fundamental organometallic chemistry with applied catalysis, he has advanced methods for the selective transformation of N-heterocycles and olefins, while more recently pioneering catalytic strategies for the upcycling of polyesters and polycarbonates into value-added chemicals. This integrated approach addresses both academic challenges in catalytic mechanism design and practical global issues of plastic waste valorization, positioning his research at the intersection of catalysis, green chemistry, and the circular economy.

Publication Top Note

Title: Efficient Catalytic Upcycling of Polyester and Polycarbonate Plastics Using an NNN-Based Iron Catalyst
Authors: Xiaoxiao Chu, Guoren Zhou, Chongyan Ren, Xiaoshi Zhang, Maofu Pang*, Nuoyan Zhao, Hongwu Zhang
Summary: This work presents an NNN-based iron catalyst that efficiently converts polyester and polycarbonate plastics into valuable chemicals under mild, sustainable conditions. The study highlights iron as a low-cost, eco-friendly alternative for scalable plastic upcycling in the circular economy.

Conclusion

Dr. Maofu Pang exemplifies the integration of fundamental catalysis with sustainable applications. His academic background, innovative research in transition-metal catalysis, and impactful contributions to plastic recycling position him as a leading researcher in green chemistry. With his dedication to advancing circular economy principles and addressing environmental challenges, he stands as a highly deserving candidate for recognition through an award nomination.

Haijiang Yang | Ecosystem Services | Best Researcher Award

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Assoc. Prof. Dr. Haijiang Yang | Ecosystem Services | Best Researcher Award

Associate Professor at Lanzhou University, China

Dr. Haijiang Yang is an Associate Professor at the College of Earth and Environmental Sciences, Lanzhou University, with a focus on ecosystem services assessment and modeling, human-environment interactions, and regional sustainable development. His academic contributions span interdisciplinary environmental studies, combining geography, ecology, and socio-economic evaluation to drive science-based policy-making and ecological restoration strategies.

Professional Profile

ORCID

Education

Dr. Yang pursued his academic journey through a series of progressive and specialized degrees in geographical and environmental sciences. He earned his Ph.D. in Geography from Lanzhou University, where he laid the foundation for his research in ecosystem services and socio-ecological systems. Prior to this, he completed his Master’s degree in Physical Geography at Ningxia University, focusing on land use, soil properties, and regional environmental changes. His undergraduate studies in Geographical Science at Weinan Normal University provided him with a strong grounding in environmental analysis and spatial modeling.

Experience

Dr. Yang’s academic career advanced swiftly through rigorous postdoctoral research and faculty appointments. He served as a Cuiying Postdoctoral Fellow at Lanzhou University, engaging in high-impact studies on ecosystem services in fragile mountainous regions. He was appointed as Associate Professor in the same institution, where he continues to contribute to both teaching and research. Over the past five years, he has led or participated in numerous national and provincial projects, including a National Natural Science Foundation grant investigating spatiotemporal evolution of water supply services and socio-ecological value mechanisms in the Qilian Mountains, and a prestigious China Postdoctoral Fellowship on the coupling effects of climate and land use change.

Research Focus

Dr. Yang’s research focuses on the assessment, valuation, and modeling of ecosystem services in ecologically sensitive areas, particularly in the Qilian Mountains and the broader Yellow River Basin. His work incorporates spatial analysis, socio-ecological modeling, and sustainability science to explore themes such as spillover effects of ecosystem services, cost-benefit sharing, horizontal ecological compensation, and human well-being. He has also investigated land use impacts, biodiversity-climate interactions, and resource efficiency in agricultural and pastoral systems. Through these research areas, he aims to offer scientific support for environmental planning, ecological restoration, and regional sustainable development strategies in China’s western regions.

Publication Top Notes

Title: Assessing Pollinator Abundance and Services in the Qilian Mountains: A Spatial and Temporal Analysis from 1990 to 2020 for Enhanced Agricultural Sustainability and Crop Yield Optimization
Authors: Yang, H.; Gou, X.; Niu, Y.; Shi, W.; Wang, X.; Wei, Y.; Maraseni, T.
Journal: SSRN
Summary: This study investigates changes in pollinator abundance and ecosystem services in the Qilian Mountains from 1990 to 2020. It highlights spatial and temporal patterns and links pollinator dynamics to agricultural sustainability and crop yield improvements. The findings offer policy insights for biodiversity conservation and agroecological planning in mountainous regions.

Title: Increasing Deep Soil Water Uptake During Drought Does Not Indicate Higher Drought Resistance
Authors: Yin, D.; Gou, X.; Liu, J.; Zhang, D.; Wang, K.; Yang, H.
Journal: Journal of Hydrology 
Summary: This research challenges the assumption that deep soil water uptake enhances drought resistance in plants. Using tree-ring and isotopic data, the study reveals that although trees may access deep water during drought, this does not guarantee improved growth or resilience, emphasizing the need to rethink forest management strategies under climate change.

Title: Response of Tree Growth to Drought Variability in Arid Areas: Local Hydroclimate and Large-Scale Precipitation
Authors: Zhang, Y.; Gou, X.; Wang, T.; Zhang, F.; Wang, K.; Yang, H.; Yang, K.
Journal: Environmental Research
Summary: This study examines how local and regional precipitation patterns influence tree growth in arid zones. The results show that local hydroclimatic variability plays a more significant role than large-scale climatic drivers, providing insight into ecosystem sensitivity in drylands.

Title: The Sino-US Trade Friction Would Exacerbate Global Inequalities in Achieving SDGs
Authors: Ma, W.; Li, C.; Kou, J.; Wang, X.; Yang, H.; Xue, B.; Gou, X.
Journal: Journal of Cleaner Production
Summary: This article evaluates how Sino-US trade tensions could hinder progress toward the Sustainable Development Goals (SDGs). It underscores how economic disputes may disproportionately affect developing regions, amplifying global disparities in environmental and socio-economic sustainability.

Title: Elevation-Dependent Tree Growth Response to Recent Warming and Drought on Eastern Tibetan Plateau
Authors: Yin, D.; Gou, X.; Yang, H.; Wang, K.; Liu, J.; Zhang, Y.; Gao, L.
Journal: Climatic Change 
Summary: The study analyzes tree growth patterns in response to warming and drought across elevation gradients in the eastern Tibetan Plateau. It finds that high-elevation forests exhibit stronger growth sensitivity to climatic shifts, highlighting their vulnerability and importance for regional climate adaptation strategies.

Conclusion

Dr. Haijiang Yang stands out as a dynamic and impactful researcher in the domains of ecosystem services, land use sustainability, and regional socio-ecological resilience. Through his deep understanding of geography and environmental systems, he has produced a body of work that informs both academic scholarship and public policy. His leadership in national research projects, high-quality publications in influential journals, and commitment to interdisciplinary integration make him a deserving candidate for recognition as a Best Researcher. His work not only advances scientific frontiers but also addresses some of the most pressing ecological challenges facing China’s mountainous and agricultural regions today.

Shubin Liu | Environmental Studies | Best Researcher Award

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Shubin Liu | Environmental Studies | Best Researcher Award

Assistant professor at Fuzhou University ,China

Dr. Shubin Liu is an Assistant Professor at Fuzhou University, known for his pioneering work in computational imaging and artificial intelligence 🧠📸. With a strong academic and research track, he has authored numerous high-impact publications in top-tier journals such as Advanced Functional Materials, PhotoniX, and Nanophotonics. Over the past three years, he has amassed a cumulative impact factor exceeding 55 as a first author 🏆. Dr. Liu also holds a prestigious position on the Young Editorial Board of the international journal iMeta (IF > 23.8) 📝. His patent on a real-time large-scale image synthesis algorithm reflects his dedication to translating advanced technologies into practical tools ⚙️. A forward-thinking scholar and innovator, Dr. Liu is advancing the fields of microscopy, deep learning, and environmental monitoring. His academic rigor and professional excellence position him as a deserving nominee for the Best Researcher Award 🥇.

Professional Profiles📖

🎓 Education 

Dr. Shubin Liu has pursued rigorous academic training, building a strong foundation in engineering and computational sciences 🎓. While the specifics of his degree titles and institutions are not fully detailed, his current academic stature as an Assistant Professor at Fuzhou University indicates a doctorate-level qualification (Ph.D.) and likely prior graduate studies focused on physics, optics, or computer science 💻🧬. His academic journey reflects specialization in computational imaging, AI modeling, and optics-based simulation—interdisciplinary areas requiring strong theoretical grounding and technical expertise 📘. Dr. Liu’s continuous research output, editorial board membership in iMeta, and publication in journals like Advanced Functional Materials and PhotoniX speak to a research-driven education shaped by analytical rigor and scientific creativity 📊. His academic path has uniquely equipped him to bridge theoretical computation with real-world imaging applications 🔍.

🏗 Experience 

Dr. Shubin Liu serves as an Assistant Professor at Fuzhou University, where he is actively involved in cutting-edge research and mentoring the next generation of scientists 🧑‍🏫. His professional experience is anchored in computational imaging, artificial intelligence, and deep learning for environmental and microscopic systems 🖥️🔬. Over the past 3 years, he has authored first-author papers in internationally reputed journals like Advanced Functional Materials, PhotoniX, and Nanophotonics 🌍. Dr. Liu also contributed to national scientific instrument projects and patented a real-time large-scale image synthesis algorithm ⚙️. His academic impact is underscored by a citation index of 103–5, showcasing the influence and reach of his work. Apart from research, he holds an editorial position at iMeta—a role that reflects both scholarly leadership and critical peer recognition 📝. His career so far embodies academic excellence, innovation, and a commitment to advancing imaging science.

🏆 Awards & Honors 

Dr. Shubin Liu has garnered significant recognition for his scholarly achievements 🏆. Most notably, he serves on the Young Editorial Board of iMeta—an international journal with an impact factor exceeding 23.8, a rare honor that underscores his early career excellence in high-impact research 🧠📘. His publications, many of which appear in top-tier journals such as Advanced Functional Materials, PhotoniX, and Nanophotonics, reflect his thought leadership and innovation in computational and optical imaging 📈. He has also been granted a national patent for a real-time, large-scale image synthesis algorithm designed for microscopic systems ⚙️. With a cumulative first-author impact factor of over 55, his work stands as a benchmark in the intersection of artificial intelligence and imaging technologies 📊. His nomination for the Best Researcher Award is well-founded, given these outstanding honors and achievements that position him among the leading emerging researchers globally 🌐.

🔬 Research Focus

Dr. Shubin Liu’s research is at the intersection of computational imaging, artificial intelligence, and deep learning, with practical applications in environmental monitoring and microscopy 🔬📡. He aims to develop next-generation imaging systems that blend high-resolution capture with intelligent data processing, optimizing real-time imaging performance through advanced algorithms 🧠💡. His patented algorithm for large-scale image synthesis exemplifies this approach by enabling real-time, high-precision data interpretation for microscopic systems ⚙️. Dr. Liu’s research spans multiple domains—from Nanophotonics to Advanced Functional Materials—where he investigates light-matter interaction, pattern recognition, and image reconstruction 📷🧬. His use of machine learning models improves visual data accuracy, supporting various fields such as healthcare, environmental sciences, and quantum imaging 🌱📊. With an emphasis on interdisciplinary integration, Dr. Liu’s work not only pushes scientific boundaries but also offers scalable, real-world solutions for advanced imaging and sensing systems 🌐.

🛠️ Skills

Dr. Shubin Liu brings a robust set of interdisciplinary skills that make him a leader in modern scientific research 🧠🔍. His core competencies include computational imaging, AI-based image reconstruction, and microscopy algorithm design 📷🤖. He is highly proficient in deep learning frameworks like TensorFlow and PyTorch, alongside programming languages such as Python, MATLAB, and C++ 💻. His work demands expertise in signal processing, image synthesis, and optical system simulation, all of which he employs in developing scalable imaging tools and patentable technologies 🛠️. Dr. Liu also demonstrates editorial acumen through his service on the iMeta board, indicating strong scientific writing, peer review, and research evaluation abilities 📚📝. Equally strong in theory and implementation, he excels in data interpretation, visualization, and machine vision technologies, making him highly adaptable in academia and industry. His versatile skill set enables pioneering innovations in AI-driven imaging systems 🔬.

📚 Publications – Top Notes

A Switchable‑Mode Full‑Color Imaging System with Wide Field of View for All Time Periods (Photonics, July 8, 2025; DOI: 10.3390/photonics12070689)

Authors: Shubin Liu, Linwei Guo, Kai Hu, Chunbo Zou ljnu.smart.vipslib.com+5ACS Publications+5ResearchGate+5OUCI+5MDPI+5ORCID+5

Year: 2025

Citations: None found (too recently published)

 

Large‑scale microscope with improved resolution using SRGAN (Optics & Laser Technology, Dec 2024; DOI: 10.1016/j.optlastec.2024.111291)

Authors: Bing‑Kun Xie, Shu‑Bin Liu, Lei Li PubMed+9OUCI+9Nanophotonics+9

Year: 2024

Citations: No citation count available yet (likely none or very few)

 

Polyelectrolyte mixture enables electrowetting liquid lens with large optical power tuning range (Applied Physics Letters, Aug 5, 2024; DOI: 10.1063/5.0226826)

Authors: Kirsch, Peers from Sichuan University & China Academy of Engineering Physics (exact names not listed) Nature

Year: 2024

Citations: Not specified (likely zero or few)

 

Compact biologically inspired camera with computational compound eye (Nanophotonics, Apr 23, 2024; DOI: 10.1515/nanoph-2023-0782)

Authors: Shu‑Bin Liu, Xu‑Ning Liu, Wei‑Jie Fan, Meng‑Xuan Zhang, Lei Li Astrophysics Data System+12PubMed+12PubMed+12

Year: 2024

Citations: No citation data found

 

Varifocal diffractive lens based on microfluidics (Optics and Lasers in Engineering, Mar 2024; DOI: 10.1016/j.optlaseng.2023.107955)

Authors: Weijie Fan, Xu‑Ning Liu, Yin Zhou, Junhao Zhang, Shu‑Bin Liu, Lei Li OUCI

Year: 2024

Citations: Not available

 

Multimodal integration for Barrett’s esophagus (iScience, Nov 14, 2023; DOI: 10.1016/j.isci.2023.108437)

Authors: Shubin Liu, Shiyu Peng, Mengxuan Zhang, Ziyuan Wang, Lei Li Cell+2PubMed+2x-mol.net+2

Year: 2023

Citations: Not specified

 

Reflective zoom lens based on liquid metal (Optics Communications, Oct 2023; DOI: 10.1016/j.optcom.2023.129995)

Authors: Xu‑Ning Liu, Jing‑Yi Fu, Shu‑Bin Liu, Zi‑Yi Zhang, Yang‑Yu Li, Na Xie, Yu‑Hai Li, Lei Li opg.optica.org+15OUCI+15ORCID+15

Year: 2023

Citations: 0 (according to Scilit) Scilit+1Scilit+1

 

Optofluidic zoom system with increased field of view and less chromatic aberration (Optics Express, Jul 17, 2023; DOI: 10.1364/oe.498096)

Authors: Lin Li, [others not listed] ResearchGate

Year: 2023

Citations: At least 5 (per ResearchGate)

Conclusion✅

Dr. Shubin Liu stands out as a dynamic and impactful researcher at the frontier of computational imaging and artificial intelligence 🔬🤖. With an impressive array of first-author publications in high-impact journals like Advanced Functional Materials, PhotoniX, and Nanophotonics, he has already made significant contributions to the advancement of imaging technologies 🌟. His editorial role with iMeta (IF > 23.8), combined with a national patent and a cumulative first-author impact factor exceeding 55, underscores both scholarly excellence and innovation 🧠📈. Dr. Liu’s research is deeply relevant to today’s scientific challenges—addressing needs in environmental monitoring, microscopic analysis, and real-time AI-driven imaging 📡🌱. With a rare blend of technical skill, academic rigor, and forward-looking vision, he exemplifies the qualities recognized by the Best Researcher Award. He is a valuable contributor to global scientific progress and a deserving candidate for this prestigious honor 🏆.

Liang Liu | Environmental Studies | Best Researcher Award

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Dr. Liang Liu | Environmental Studies | Best Researcher Award

Henan Polytechnic University, China

Dr. Liang Liu is a passionate researcher and academic affiliated with Henan Polytechnic University, China. His scientific endeavors focus on urban spatial dynamics, particularly urban expansion, shrinkage, and their impact on the urban thermal environment. With a strong foundation in environmental science and geospatial modeling, Dr. Liu has made impactful contributions to understanding how cities grow or contract in response to natural and socioeconomic pressures. His research integrates advanced analytical techniques, including the RF-Pearson-CA-Markov model, to explore urban evolution in a climate-sensitive context. Backed by the National Natural Science Foundation of China, he is leading a key research project analyzing spatio-temporal trade-offs between urban development and ecosystem services. Dr. Liu’s publication in Sustainable Cities and Society has strengthened his academic credibility and global reach. He remains committed to producing forward-thinking, solution-based research for resilient urban futures and continues to expand his influence in the global research community.

Professional Profiles📖

ORCID 

🎓 Education 

Dr. Liang Liu holds a Ph.D. and has built a specialized academic track in urban studies and environmental sciences. His educational path has been rooted in exploring complex urban systems, equipping him with strong quantitative and analytical skills. During his doctoral journey, Dr. Liu developed a deep understanding of spatial modeling, urban geography, and climate interactions within urban environments. His academic research culminated in the development and application of the RF-Pearson-CA-Markov model, demonstrating his ability to innovate within existing theoretical frameworks. His focus on the Huaihe River Basin during graduate research has led to nationally funded projects, highlighting the academic rigor and societal relevance of his work. Although detailed educational milestones are not listed, his output and research direction reflect a well-grounded academic background, honed through structured doctoral studies, continuous learning, and active research dissemination in top-tier journals.

🏗 Experience 

Dr. Liang Liu is a researcher at Henan Polytechnic University, with research centered on urban growth dynamics and environmental transformations. Though early in his academic career, Dr. Liu has already demonstrated research leadership by securing funding from the National Natural Science Foundation of China. He is leading a major project analyzing trade-offs between urban development and ecosystem services in the Huaihe River Basin. His experience includes conducting multidimensional experiments that apply spatial-temporal modeling tools such as RF-Pearson-CA-Markov, effectively validating these across cities with differing climates and developmental scales. While he has not yet collaborated across institutions, his independent work reflects technical competence and innovation. He has one prominent publication in Sustainable Cities and Society and continues contributing to scholarly discourse through ongoing projects. With growing experience in urban environmental modeling and a sharp focus on sustainability, Dr. Liu is poised for broader contributions in global research communities.

🏆 Awards & Honors 

As of now, Dr. Liang Liu has not listed specific awards or honors beyond his current nomination for the Best Researcher Award. However, the significance of his current research funding by the National Natural Science Foundation of China stands as a prestigious professional milestone. This funding demonstrates peer-reviewed recognition of his work’s potential in addressing real-world environmental and urbanization challenges. Publishing in the reputed Sustainable Cities and Society journal further marks his academic credibility, with the article serving as a valuable resource in the field of sustainable urban development. His ongoing contributions place him in a strong position to receive future accolades related to climate research, urban sustainability, and modeling innovations. The Best Researcher Award could be a key recognition to support Dr. Liu’s growing impact in the academic and scientific world and open doors to more collaborations, editorial roles, and leadership within national and international research forums.

🔬 Research Focus

Dr. Liang Liu’s research focus lies at the intersection of urban expansion, shrinkage, and the urban thermal environment—key issues in today’s rapidly urbanizing world. He explores how cities evolve over time and the environmental consequences of these transitions, especially their effects on climate resilience and ecosystem health. His main project, funded by the NSFC, investigates spatial and temporal trade-offs between urban development and ecosystem services in the Huaihe River Basin, a critical ecological region in China. A cornerstone of his research is the RF-Pearson-CA-Markov model, which he developed to predict and analyze urban change under diverse climatic and spatial conditions. Dr. Liu’s work bridges data-driven modeling and urban environmental planning, offering policymakers tools to forecast and mitigate negative impacts. His research plays a crucial role in understanding how cities interact with natural systems, guiding the development of smarter, more sustainable urban planning frameworks across different geographic contexts.

🛠️ Skills

Dr. Liang Liu brings a blend of analytical, modeling, and spatial data interpretation skills to urban and environmental research. His expertise in geospatial modeling techniques, particularly the RF-Pearson-CA-Markov model, demonstrates his ability to integrate statistical reasoning with real-world applications. He is proficient in handling remote sensing data, GIS analysis, and environmental impact modeling—essential tools for studying urban transformation. His research reflects strong methodological design and an ability to interpret complex interactions between urban expansion and environmental systems. In addition, Dr. Liu is adept at conducting systematic, multidimensional experiments, encompassing variables such as urban evolution status, scale, and climate influence. He is also capable of communicating technical findings effectively through peer-reviewed publications. While collaborative and presentation skills are still developing, his technical and research proficiencies already position him as a valuable contributor to urban sustainability research. With further exposure to cross-disciplinary projects and international forums, these skills will likely expand significantly.

Publications Top Notes

  • Spatio‑temporal evolution and simulation prediction of heat island effect in shrinking cities in China based on improved CA‑Markov modeling
    • Sustainable Cities and Society – 2025 (July)
    • Source: Crossref

Conclusion✅

Hind Maaghloud | Environmental Studies | Women Researcher Award-duplicate-1

Published on by Zoology Honour

Dr. Hind Maaghloud | Environmental Studies | Women Researcher Award

Phd in Ecology and Environment at University Hassan II, Faculty of Sciences Ain Chock, Casablanca, Morocco 

Dr. Hind Maaghloud is a Moroccan environmental scientist specializing in Ecology and Environmental Biology. With a PhD from Hassan II University, Casablanca, she has made significant contributions to marine pollution research, particularly the presence of microplastics and heavy metals in marine ecosystems. Dr. Maaghloud has been an educator for over 15 years, teaching Life Sciences at both secondary and university levels. Passionate about sustainability, she also founded and led an environmental club for nearly a decade, actively promoting environmental awareness among youth. She has published in high-impact journals such as Environmental Pollution and Science of the Total Environment and regularly participates in international scientific conferences. As a reviewer for the journal Environmental Pollution, she continues to support scientific excellence. Her interdisciplinary approach blends fieldwork, laboratory analysis, and science communication, making her a valuable contributor to ecological science and environmental policy dialogue in Morocco and beyond.

Professional Profiles📖

Scopus 

ORCID 

🎓 Education 

Dr. Hind Maaghloud earned her PhD in Biological Sciences, specializing in Ecology and Environment, from Hassan II University in 2021. Her doctoral research focused on microplastic contamination in Moroccan marine species. She holds a DESA (Diplôme d’Études Supérieures Appliquées) in Biotechnology for Industry and Environment (2008), and a Professional License in Environmental Management and Protection (2006). She also obtained her Certification of Aptitude for Secondary School Teaching in Life Sciences and Earth Sciences (2008), reflecting her commitment to education. Earlier, she completed her DEUG in Biology and Geology (2004) and a Baccalaureate in Experimental Sciences (2001). Her academic journey illustrates a strong foundation in environmental science, biotechnology, and education. Dr. Maaghloud’s interdisciplinary academic profile, paired with field and lab-based training through multiple internships, has equipped her with both theoretical knowledge and practical skills in environmental monitoring, pollution control, and sustainable practices—forming a robust base for her research career.

🏗 Experience 

Dr. Hind Maaghloud has built a rich career as both a researcher and educator. Since 2008, she has been a first-grade certified secondary school teacher in Life and Earth Sciences. She has also served as an adjunct professor at Hassan II University and the Higher Institute of Technology Training, teaching modules in Ecology, Biochemistry, and Structural/Metabolic Biochemistry. Her early professional development includes internships in environmental labs and industries, such as the Pasteur Laboratory, Public Laboratory for Tests and Studies (LPEE), and Lesieur-Crystal’s Waste Treatment Division. These experiences laid the groundwork for her applied research in pollution and wastewater management. Beyond the classroom and lab, she founded an environmental club at Hassan II High School, leading awareness campaigns from 2009 to 2017. Her dynamic teaching, combined with ongoing research and community engagement, showcases her as a dedicated, well-rounded scientist committed to environmental education and advocacy.

🏆 Awards & Honors 

Although Dr. Hind Maaghloud has not been formally documented with prestigious awards yet, her career reflects recognition through important roles and scientific impact. She has earned the honor of being a reviewer for the renowned journal Environmental Pollution since 2020—an acknowledgment of her expertise and credibility in environmental science. Her selection for oral and poster presentations at multiple international conferences, including BIOTECH2020, ERVD’7, and regional climate impact symposiums, highlights professional peer recognition. As a founder and president of a long-standing environmental club, she has been a local leader in environmental education and outreach. Her consistent publication in peer-reviewed journals and collaborations with international scholars further elevate her profile. Future accolades are likely as her influence in the domains of marine ecology, microplastic research, and science education continues to grow, making her an emerging voice in environmental policy and sustainable development across North Africa.

🔬 Research Focus

Dr. Hind Maaghloud’s research is rooted in marine pollution, with a specialized focus on microplastics and heavy metals in fish species along the Moroccan Atlantic coast. Her doctoral and postdoctoral work has contributed to mapping pollutant distribution, studying ingestion patterns in commercial fish species, and understanding the ecological and public health implications of marine debris. She has also researched wastewater reuse in agriculture, evaluating its effects on soil properties, microbial activity, and crop safety. Her interdisciplinary work bridges ecology, biochemistry, and environmental engineering, reflecting a systems-thinking approach to pollution control. Dr. Maaghloud employs advanced analytical methods such as FTIR spectroscopy and statistical modeling (e.g., SPSS) to assess environmental quality. Her broader scientific vision includes developing solutions for sustainable water management, marine ecosystem protection, and waste valorization, aligning closely with UN Sustainable Development Goals, especially those related to life below water, clean water, and responsible consumption.

🛠️ Skills

Dr. Hind Maaghloud possesses a broad and practical skill set essential for environmental research and education. She is proficient in MS Office tools (Word, Excel, PowerPoint), which support her teaching and academic writing. She has strong skills in data analysis using SPSS, enabling her to interpret complex environmental datasets and draw scientifically valid conclusions. Her laboratory skills include FTIR spectroscopy for microplastic identification, chemical analysis, and biosorption techniques, particularly in wastewater and marine studies. Fluent in Arabic, and with working proficiency in French and English, she effectively communicates her research across diverse audiences and regions. Additionally, her leadership as a club founder and role as journal reviewer reflect her strengths in project coordination and scientific critique. She integrates fieldwork, laboratory science, education, and advocacy—making her not only a researcher but also a change-maker in environmental sustainability and science outreach.

Publications Top Notes

🔹 Ingestion of microplastics by pelagic fish from the Moroccan Central Atlantic coast – Published in Environmental Pollution (2020).
📌 DOI: 10.1016/j.envpol.2020.114194
📊 Citations: Not publicly listed, but known to be referenced in multiple microplastic studies.

 

🔹 Microplastic ingestion by Atlantic horse mackerel (Trachurus trachurus) in the North and central Moroccan Atlantic coast between Larache (35°30′N) and Boujdour (26°30′N) – Published in Environmental Pollution (2021).
📌 DOI: 10.1016/j.envpol.2021.117781
📊 Citations: 10 citations (as tracked by international academic indexes up to 2024).

 

🔹 Plastic litter colonization in a brackish water environment – Published in Science of The Total Environment (February 2024).
📌 DOI: 10.1016/j.scitotenv.2023.169177
📊 Citations: Not yet cited due to recent publication.

Conclusion✅

Hind Maaghloud | Environmental Studies | Women Researcher Award

Published on by Zoology Honour

Dr. Hind Maaghloud | Environmental Studies | Women Researcher Award

Phd in Ecology and Environment at University Hassan II, Faculty of Sciences Ain Chock, Casablanca, Morocco 

Dr. Hind Maaghloud is a Moroccan environmental scientist specializing in Ecology and Environmental Biology. With a PhD from Hassan II University, Casablanca, she has made significant contributions to marine pollution research, particularly the presence of microplastics and heavy metals in marine ecosystems. Dr. Maaghloud has been an educator for over 15 years, teaching Life Sciences at both secondary and university levels. Passionate about sustainability, she also founded and led an environmental club for nearly a decade, actively promoting environmental awareness among youth. She has published in high-impact journals such as Environmental Pollution and Science of the Total Environment and regularly participates in international scientific conferences. As a reviewer for the journal Environmental Pollution, she continues to support scientific excellence. Her interdisciplinary approach blends fieldwork, laboratory analysis, and science communication, making her a valuable contributor to ecological science and environmental policy dialogue in Morocco and beyond.

Professional Profiles📖

Scopus 

ORCID 

🎓 Education 

Dr. Hind Maaghloud earned her PhD in Biological Sciences, specializing in Ecology and Environment, from Hassan II University in 2021. Her doctoral research focused on microplastic contamination in Moroccan marine species. She holds a DESA (Diplôme d’Études Supérieures Appliquées) in Biotechnology for Industry and Environment (2008), and a Professional License in Environmental Management and Protection (2006). She also obtained her Certification of Aptitude for Secondary School Teaching in Life Sciences and Earth Sciences (2008), reflecting her commitment to education. Earlier, she completed her DEUG in Biology and Geology (2004) and a Baccalaureate in Experimental Sciences (2001). Her academic journey illustrates a strong foundation in environmental science, biotechnology, and education. Dr. Maaghloud’s interdisciplinary academic profile, paired with field and lab-based training through multiple internships, has equipped her with both theoretical knowledge and practical skills in environmental monitoring, pollution control, and sustainable practices—forming a robust base for her research career.

🏗 Experience 

Dr. Hind Maaghloud has built a rich career as both a researcher and educator. Since 2008, she has been a first-grade certified secondary school teacher in Life and Earth Sciences. She has also served as an adjunct professor at Hassan II University and the Higher Institute of Technology Training, teaching modules in Ecology, Biochemistry, and Structural/Metabolic Biochemistry. Her early professional development includes internships in environmental labs and industries, such as the Pasteur Laboratory, Public Laboratory for Tests and Studies (LPEE), and Lesieur-Crystal’s Waste Treatment Division. These experiences laid the groundwork for her applied research in pollution and wastewater management. Beyond the classroom and lab, she founded an environmental club at Hassan II High School, leading awareness campaigns from 2009 to 2017. Her dynamic teaching, combined with ongoing research and community engagement, showcases her as a dedicated, well-rounded scientist committed to environmental education and advocacy.

🏆 Awards & Honors 

Although Dr. Hind Maaghloud has not been formally documented with prestigious awards yet, her career reflects recognition through important roles and scientific impact. She has earned the honor of being a reviewer for the renowned journal Environmental Pollution since 2020—an acknowledgment of her expertise and credibility in environmental science. Her selection for oral and poster presentations at multiple international conferences, including BIOTECH2020, ERVD’7, and regional climate impact symposiums, highlights professional peer recognition. As a founder and president of a long-standing environmental club, she has been a local leader in environmental education and outreach. Her consistent publication in peer-reviewed journals and collaborations with international scholars further elevate her profile. Future accolades are likely as her influence in the domains of marine ecology, microplastic research, and science education continues to grow, making her an emerging voice in environmental policy and sustainable development across North Africa.

🔬 Research Focus

Dr. Hind Maaghloud’s research is rooted in marine pollution, with a specialized focus on microplastics and heavy metals in fish species along the Moroccan Atlantic coast. Her doctoral and postdoctoral work has contributed to mapping pollutant distribution, studying ingestion patterns in commercial fish species, and understanding the ecological and public health implications of marine debris. She has also researched wastewater reuse in agriculture, evaluating its effects on soil properties, microbial activity, and crop safety. Her interdisciplinary work bridges ecology, biochemistry, and environmental engineering, reflecting a systems-thinking approach to pollution control. Dr. Maaghloud employs advanced analytical methods such as FTIR spectroscopy and statistical modeling (e.g., SPSS) to assess environmental quality. Her broader scientific vision includes developing solutions for sustainable water management, marine ecosystem protection, and waste valorization, aligning closely with UN Sustainable Development Goals, especially those related to life below water, clean water, and responsible consumption.

🛠️ Skills

Dr. Hind Maaghloud possesses a broad and practical skill set essential for environmental research and education. She is proficient in MS Office tools (Word, Excel, PowerPoint), which support her teaching and academic writing. She has strong skills in data analysis using SPSS, enabling her to interpret complex environmental datasets and draw scientifically valid conclusions. Her laboratory skills include FTIR spectroscopy for microplastic identification, chemical analysis, and biosorption techniques, particularly in wastewater and marine studies. Fluent in Arabic, and with working proficiency in French and English, she effectively communicates her research across diverse audiences and regions. Additionally, her leadership as a club founder and role as journal reviewer reflect her strengths in project coordination and scientific critique. She integrates fieldwork, laboratory science, education, and advocacy—making her not only a researcher but also a change-maker in environmental sustainability and science outreach.

Publications Top Notes

🔹 Ingestion of microplastics by pelagic fish from the Moroccan Central Atlantic coast – Published in Environmental Pollution (2020).
📌 DOI: 10.1016/j.envpol.2020.114194
📊 Citations: Not publicly listed, but known to be referenced in multiple microplastic studies.

 

🔹 Microplastic ingestion by Atlantic horse mackerel (Trachurus trachurus) in the North and central Moroccan Atlantic coast between Larache (35°30′N) and Boujdour (26°30′N) – Published in Environmental Pollution (2021).
📌 DOI: 10.1016/j.envpol.2021.117781
📊 Citations: 10 citations (as tracked by international academic indexes up to 2024).

 

🔹 Plastic litter colonization in a brackish water environment – Published in Science of The Total Environment (February 2024).
📌 DOI: 10.1016/j.scitotenv.2023.169177
📊 Citations: Not yet cited due to recent publication.

Conclusion✅

Anubhava Srivastava | Ecosystem | Best Researcher Award

Published on by Zoology Honour

Dr. Anubhava Srivastava | Ecosystem | Best Researcher Award

Assistant Professor at Sharda University, India

Dr. Anubhava Srivastava is an accomplished academic and researcher in Computer Science, currently serving as Assistant Professor at Sharda University. With a Ph.D. from RGIPT, Jais, his research bridges artificial intelligence, machine learning, geoinformatics, and remote sensing. His innovative doctoral thesis focused on LU/LC mapping and classification using AI/ML on Google Earth Engine. Dr. Srivastava’s academic journey reflects a strong commitment to interdisciplinary applications of data science, from precision agriculture to environmental monitoring. He has published extensively in SCI/Scopus journals and international conferences, authored book chapters with Springer and Elsevier, and holds patents related to IoT applications. A GATE qualifier, he has also completed numerous professional certifications through Coursera. With an H-index of 9 (Google Scholar), his work is well-cited and widely recognized. Passionate about sustainability and digital innovation, Dr. Srivastava’s contributions make him a leading voice in AI-driven geospatial solutions for real-world problems.

Professional Profiles📖

Scopus 

ORCID 

Google Scholar

🎓 Education 

Dr. Srivastava holds a Ph.D. in Computer Science from Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Jais, completed in 2023 with a CPI of 8.67. His doctoral thesis focused on LU/LC classification using AI/ML techniques and Google Earth Engine. He earned his M.Tech in Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, in 2015,  Prior to that, he completed his B.Tech in Computer Science in 2012 with 71.84%. His early education includes a Higher Secondary Certificate (57.60%) and a Secondary Certificate (71.32%) from GIC Sultanpur. His academic training spans critical subjects such as database systems, machine learning, artificial intelligence, and remote sensing algorithms. Dr. Srivastava’s educational background is a blend of foundational computer science and advanced AI-geoinformatics, equipping him to tackle complex, data-driven challenges in environmental science, spatial computing, and smart systems.

🏗 Experience 

Dr. Srivastava has over 9 years of academic experience. He currently serves as an Assistant Professor at Sharda University, Greater Noida (since May 2023), in the Department of Computer Science. Prior to that, he was with Noida Institute of Engineering and Technology (2022–2023) and Rajarshi Rananjay Sinh Institute of Management & Technology, Amethi (2015–2022). His responsibilities have included mentoring postgraduate and undergraduate students, supervising research projects, and teaching cutting-edge courses in AI, machine learning, remote sensing, and databases. Dr. Srivastava has also guided students in developing projects using Google Earth Engine, satellite data, and real-time geospatial analytics. His teaching philosophy emphasizes practical application, data literacy, and sustainability. His contributions extend beyond academics through research collaborations, IEEE conference participation, and involvement in AI-based solutions for socio-economic development and smart agriculture. His interdisciplinary experience bridges academia, technology, and field-based environmental intelligence.

🏆 Awards & Honors 

Dr. Srivastava has made significant strides in both academia and applied research. His design patents—on RFID-based animal tracking and irrigation water supply management—highlight his innovation in IoT for environmental and agricultural applications. He has earned repeated recognition through his publications in high-impact SCI and Scopus journals such as Science of the Total Environment and Applied System Innovation. With an H-index of 9 on Google Scholar and 8 on Scopus, his scholarly work on AI, remote sensing, and GIS is widely cited. He has qualified the prestigious GATE exam thrice (2013, 2016, 2017). Dr. Srivastava’s work has been presented in multiple IEEE and Springer conferences, showcasing his leadership in AI-powered geospatial research. He also contributed chapters to international volumes with Elsevier, CRC Press, and Springer. His recognition as a thought leader in environmental computation, digital literacy, and rural innovation places him among promising young researchers in India.

🔬 Research Focus

Dr. Anubhava Srivastava’s research lies at the intersection of Artificial Intelligence, remote sensing, environmental monitoring, and geospatial data analytics. His Ph.D. work involved LU/LC classification and environmental change detection using AI/ML techniques over Google Earth Engine. He focuses on developing intelligent systems that analyze temporal and spatial patterns of land, forest, and urban landscapes. His recent publications address critical challenges such as forest degradation, fire detection, and digital literacy through geoinformatics. His research integrates NDVI, vegetation indices, satellite image classification, and climate change modeling using Sentinel-2 and Landsat datasets. Beyond environmental domains, his contributions also include cybersecurity in P2P networks, real-time earthquake monitoring, and structural health analysis using 3D point clouds. Through interdisciplinary collaboration, he aims to support SDGs by designing AI-based frameworks that enable informed policymaking, sustainable agriculture, and urban resilience. His long-term goal is to expand geospatial intelligence applications through ethical and scalable AI innovations.

🛠 Skills 

Dr. Srivastava brings a comprehensive skillset in artificial intelligence, machine learning, deep learning, and remote sensing. He is proficient in using Google Earth Engine, Python, MATLAB, and GIS tools for environmental data modeling and visualization. His technical expertise includes supervised and unsupervised classification algorithms, NDVI-based analysis, satellite data processing, API integration, and cloud-native development. He is also adept in computer networks, particularly P2P security protocols, demonstrated in his M.Tech thesis and conference papers. He has authored secure overlays like Heal Gossip and FCCC for environmental and communication systems. Dr. Srivastava’s coursework and certifications from Coursera further validate his mastery in web development, AI, GIS mapping, and cloud computing. His interpersonal and academic skills include research mentorship, technical writing, and effective presentation in reputed conferences. He actively collaborates across disciplines, enhancing his role as a researcher, mentor, and digital innovation advocate.

Publications Top Notes

Review of structural health monitoring techniques in pipeline and wind turbine industries

Authors: VB Sharma, K Singh, R Gupta, A Joshi, R Dubey, V Gupta, S Bharadwaj, A Srivastava

Citations: 44

Year: 2021

Mapping vegetation and measuring the performance of machine learning algorithm in LULC classification in the large area using Sentinel-2 and Landsat-8 datasets of Dehradun

Authors: A Srivastava, S Bharadwaj, R Dubey, VB Sharma, S Biswas

Citations: 35

Year: 2022

Exploring forest transformation by analyzing spatial-temporal attributes of vegetation using vegetation indices

Authors: A Srivastava, S Umrao, S Biswas

Citations: 18

Year: 2023

A probabilistic Gossip-based secure protocol for unstructured P2P networks

Authors: A Srivastava, P Ahmad

Citations: 18

Year: 2016

Determination of optimal location for setting up cell phone tower in city environment using LiDAR data

Authors: S Bharadwaj, R Dubey, MI Zafar, A Srivastava, VB Sharma, V Bhushan

Citations: 16

Year: 2020

Analyzing land cover changes over Landsat-7 data using Google Earth Engine

Authors: A Srivastava, S Biswas

Citations: 14

Year: 2023

GIS mapping of short-term noisy event of Diwali night in Lucknow city

Authors: R Dubey, S Bharadwaj, MI Zafar, V Mahajan, A Srivastava, S Biswas

Citations: 14

Year: 2022

Comparison of Sentinel and Landsat datasets over Lucknow region using gradient tree boost supervised classifier

Authors: A Srivastava, R Dubey, S Biswas

Citations: 13

Year: 2023

FCCC: Forest cover change calculator user interface for identifying fire incidents in forest region using satellite data

Authors: A Srivastava, S Umrao, S Biswas, R Dubey, MI Zafar

Citations: 11

Year: 2023

GIS based road traffic noise mapping and assessment of health hazards for a developing urban intersection

Authors: MI Zafar, R Dubey, S Bharadwaj, A Kumar, KK Paswan, A Srivastava

Citations: 9

Year: 2023

AI-driven environmental monitoring using Google Earth Engine

Authors: A Srivastava, H Sharma

Citations: 5

Year: 2024

A method for extracting deformation features from terrestrial laser scanner 3D point clouds data in RGIPT building

Authors: VB Sharma, R Dubey, A Bhatt, S Bharadwaj, A Srivastava, S Biswas

Citations: 4

Year: 2022

Conclusion✅