Gang Wang | Molecular Mechanisms Signaling | Best Researcher Award

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Prof. Gang Wang | Molecular Mechanisms Signaling | Best Researcher Award

Prof. Gang Wang , the First Affiliated Hospital of Harbin Medical University, China

Professor Wang Gang, MD, Ph.D., is a renowned general surgeon, postdoctoral researcher, and director of the Department of Oncology and Laparoscopy Surgery at The First Affiliated Hospital of Harbin Medical University, China. Specializing in pancreatic diseases, he is a prominent researcher and educator, with a focus on acute pancreatitis. He has contributed extensively to translational research, bridging molecular mechanisms to clinical innovations. As a high-level talent in Heilongjiang Province, he has published 166 works, including high-impact studies on ferroptosis and necroptosis in pancreatic diseases. With multiple editorial roles and leadership in various academic associations, Professor Wang continues to drive interdisciplinary advances in pancreatic disease management and surgery.

Publication Profile:

Google Scholar

Strengths for the Award:

Professor Wang Gang has demonstrated exceptional contributions to the field of pancreatic diseases, particularly in acute pancreatitis. His groundbreaking research on ferroptosis, necroptosis, and mitochondrial autophagy has resulted in a significant body of work with over 166 publications, many of which are high-impact studies. As a Principal Investigator, he has successfully led multiple National Natural Science Foundation projects, contributing innovative diagnostic and therapeutic strategies that have advanced the management of pancreatic diseases. His editorial roles in prominent journals and his collaborations with pharmaceutical companies reflect his recognition as a leader in the field. Moreover, his numerous provincial awards, including the Heilongjiang Science & Technology Progress First Prizes, further affirm his leadership and expertise.

Areas for Improvements:

While Professor Wang has achieved great success in pancreatic disease research, his work could benefit from expanding into interdisciplinary collaborations with other medical specialties to further enhance the clinical translation of his findings. Additionally, increasing the international visibility of his work through more international collaborations or partnerships could amplify its impact.

Education:

Professor Wang Gang holds both an MD and a Ph.D., specializing in general surgery. He completed his advanced postdoctoral training focusing on pancreatic diseases and advanced laparoscopic techniques. His rigorous academic journey has laid a strong foundation for his successful career in research, clinical practice, and teaching. Professor Wang’s educational experience reflects his deep commitment to advancing both his academic qualifications and medical expertise, leading to his leadership roles in multiple professional organizations and the development of several groundbreaking research projects in pancreatic health.

Experience:

Professor Wang has extensive clinical and research experience in pancreatic diseases. He serves as the Director of the Department of Oncology and Laparoscopy Surgery at The First Affiliated Hospital of Harbin Medical University. His research interests revolve around the pathogenesis and treatment of acute pancreatitis and other pancreatic disorders. In addition to his clinical role, he is a prolific academic leader, mentoring doctoral and postdoctoral researchers. With over 166 publications, he has led significant projects funded by the National Natural Science Foundation and has collaborated with top pharmaceutical companies. He has also served in prominent editorial and peer reviewer roles for many scientific journals, solidifying his influence in the research community.

Awards and Honors:

Professor Wang Gang has received numerous prestigious awards, including multiple Heilongjiang Science & Technology Progress First Prizes (2024, 2021). As a High-Level Talent of Heilongjiang Province and Outstanding Talent of Heilongjiang New Century, he is recognized for his outstanding contributions to medical research. His work has also earned him multiple accolades for his leadership and research excellence. As a principal investigator, he has received several National Natural Science Foundation grants, marking him as a leading figure in the field of pancreatic diseases. His success reflects his commitment to advancing medical science and improving patient outcomes, particularly in pancreatic diseases.

Research Focus:

Professor Wang’s research primarily focuses on the molecular mechanisms underlying pancreatic diseases, including acute pancreatitis and pancreatic cancer. His work has identified key molecular pathways, such as ferroptosis and necroptosis, in the progression of these diseases. His translational research connects basic science with clinical applications, optimizing surgical protocols and diagnostic tools. His studies on mitochondrial dysfunction, autophagy imbalance, and exosomal crosstalk provide novel insights into disease pathogenesis and potential therapeutic strategies. As a leading researcher, he has contributed significantly to the understanding of pancreatic diseases and continues to push boundaries in both basic and clinical research.

Publications Top Notes:

  • Ferroptosis: Past, Present, and Future 📚, Cell Death & Disease, 2020

  • Long Noncoding RNA MALAT1 Promotes Aggressive Pancreatic Cancer Proliferation and Metastasis via Autophagy 📚, Molecular Cancer Therapeutics, 2016

  • A New Algorithm of Blind Color Image Watermarking Based on LU Decomposition 📚, Multidimensional Systems and Signal Processing, 2018

  • Early Prediction of Infected Pancreatic Necrosis Secondary to Necrotizing Pancreatitis 📚, Medicine, 2017

  • A Three-Dimensional Failure Criterion for Hard Rocks Under True Triaxial Compression 📚, Rock Mechanics and Rock Engineering, 2020

  • Plasma and Tumor Levels of Linc-pint as Diagnostic and Prognostic Biomarkers for Pancreatic Cancer 📚, Oncotarget, 2016

  • The Effect of Emodin-Assisted Early Enteral Nutrition on Severe Acute Pancreatitis 📚, Mediators of Inflammation, 2007

  • Hydrogen Sulphide Exacerbates Acute Pancreatitis by Over-Activating Autophagy via AMPK/mTOR Pathway 📚, Journal of Cellular and Molecular Medicine, 2016

  • Necroptosis: A Potential, Promising Target in Acute Pancreatitis 📚, Apoptosis, 2016

  • Effects of Carbon Monoxide Releasing Molecule-Liberated CO on Severe Acute Pancreatitis in Rats 📚, Cytokine, 2010

  • A Novel Blind Color Image Watermarking Based on Contourlet Transform and Hessenberg Decomposition 📚, Multimedia Tools and Applications, 2018

Conclusion:

Professor Wang Gang is an exemplary candidate for the Best Researcher Award due to his impressive academic achievements, groundbreaking contributions to pancreatic disease research, and his ongoing efforts to bridge basic science and clinical practice. His work has not only advanced our understanding of acute pancreatitis but has also paved the way for potential therapeutic advancements. His leadership in research, publications, and collaboration highlights his remarkable contributions to the medical and scientific community.

Florêncio Oliveira | Signal Transduction Networks | Best Researcher Award

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Dr. Florêncio Oliveira | Signal Transduction Networks | Best Researcher Award

Dr. Florêncio Oliveira , Senai Cimatec University , Brazil

Florêncio Mendes Oliveira Filho is a Brazilian researcher and professor at SENAI CIMATEC University in Salvador, Bahia. With a deep interest in computational modeling and industrial technology, Florêncio’s research has focused on the analysis of physiological signals such as EEG, as well as time series analysis in diverse areas. He holds a Master’s and Ph.D. in Computational Modeling and Industrial Technology from SENAI CIMATEC University and completed a post-doctorate in 2023 at the State University of Feira de Santana. Florêncio has contributed to numerous publications in leading journals and has developed various patented programs related to EEG signal analysis. He actively collaborates with academic and research institutions, focusing on advancing methodologies in time series analysis, mathematical modeling, and computational applications in health, climate, and industrial technology.

Publication Profile:

Google Scholar

Strengths for the Award:

  1. Expertise in Interdisciplinary Research: Florêncio Mendes Oliveira Filho demonstrates a solid understanding and expertise in the computational analysis of physiological signals, with a specialized focus on EEG signals. This work spans across multiple fields, including computational modeling, neurobiology, time series analysis, and climate data, showcasing a diverse and multi-disciplinary approach.

  2. Strong Publication Record: Florêncio has a remarkable number of publications in well-regarded journals like Biomedical Signal Processing and Control, Scientific Reports, and PLoS One, highlighting his contributions to the scientific community in recent years. These publications, especially in high-impact journals, reinforce his credibility as a leading researcher in his domain.

  3. Innovative Contributions to Signal Analysis: His contributions to developing new methodologies for analyzing EEG signals, such as the Detrended Fluctuation Analysis (DFA) and cross-correlation techniques like DCCA and ΔρDCCA, are pioneering. These contributions are vital for understanding complex physiological phenomena, such as the effects of L-dopa in neurological conditions (Deep Brain Stimulation) and seizures in epileptic patients.

  4. Patents and Technology Innovation: Florêncio’s work in patenting computer programs for EEG signal analysis and statistical methods, as seen with his multiple patent registrations, further underscores his contributions to advancing practical applications in biomedical and computational technology. His patents indicate a forward-thinking approach that integrates research with real-world applications, enhancing the clinical and technological landscapes.

  5. Collaboration and Academic Contributions: His active collaborations with leading universities and research institutions in Brazil, such as UEFS, SENAI CIMATEC UNIVERSITY, and UFBA, demonstrate his strong network in the research community. His leadership in postgraduate programs and mentorship to students further strengthens his impact on the next generation of researchers.

  6. Research Impact and Recognition: Florêncio has earned significant recognition within his field, reflected not only in his extensive list of publications but also in his growing influence within interdisciplinary research. His work on EEG signal analysis, particularly in relation to motor tasks, epilepsy, and Parkinson’s disease, offers valuable insights into medical applications.

Areas for Improvements:

  1. Broader International Collaboration: While Florêncio has established a robust academic network within Brazil, expanding collaborations internationally, particularly with leading research institutions in Europe and North America, could further elevate his visibility and impact. This could also facilitate the exchange of ideas and foster more innovative solutions in his areas of expertise.

  2. Research on Broader Clinical Applications: His focus on neurological diseases like Parkinson’s and epilepsy is commendable; however, exploring other clinical areas such as Alzheimer’s disease or mental health disorders might provide a more comprehensive understanding of EEG signal applications. Extending his work to include a wider array of neurological and psychiatric conditions could lead to broader clinical applications.

  3. Focus on Public Outreach: While Florêncio’s research has significant academic merit, increasing public engagement—such as in popular science communications, workshops, or collaborations with healthcare providers—could improve the broader societal impact of his work. Presenting his findings in more accessible formats could lead to greater public awareness of the importance of EEG signal analysis and its potential for improving healthcare.

  4. Integration of Machine Learning: The integration of machine learning models with his current methodologies, such as DFA and DCCA, could provide more robust and scalable tools for analyzing complex physiological data. This could involve automating the detection of patterns in EEG signals and improving predictions related to neurological disorders.

Education:

Florêncio graduated in 2021 from the Catholic University of Salvador (UCSAL). He holds a Specialist degree in Mathematics and New Technologies (2006) from UCSAL, a Master’s degree (2011-2013), and a Ph.D. (2015-2019) in Computational Modeling and Industrial Technology from SENAI CIMATEC University. His postdoctoral research in 2023, funded by the National Council for Scientific and Technological Development (CNPq), was carried out at the State University of Feira de Santana (UEFS). His academic journey blends computational mathematics, modeling, and physiological data analysis, which has shaped his innovative approach to analyzing EEG signals and applying advanced computational techniques.

Experience:

Florêncio has over a decade of experience in academic and research roles, having served as a professor and researcher at SENAI CIMATEC University. His work spans various fields, including computational modeling, time series analysis, and the study of physiological signals, particularly EEG. As a postdoctoral researcher at UEFS, he focused on advancing statistical methods to interpret complex data. Florêncio has contributed to both the scientific community and industry by developing patented computer programs that apply his research in analyzing physiological and climate data. His expertise also extends to collaborations with several Brazilian institutions, such as the State University of Southwest Bahia (UESB), the University of Bahia (UFBA), and the State University of Bahia (UNEB). He is also a member of various research groups, including the Computational Modeling and Industrial Technology Program and the Biosystems Modeling and Simulation Program.

Research Focus:

Florêncio’s primary research focus is on analyzing physiological signals, particularly EEG, to study neurological conditions such as epilepsy and Parkinson’s disease. He employs advanced techniques, including Detrended Fluctuation Analysis (DFA), cross-correlation coefficients (ρDCCA), and multi-cross-correlation methods (DCCA), to explore motor learning and the effects of Deep Brain Stimulation (DBS) on Parkinson’s patients. His research also extends to time series analysis, where he applies these techniques to climate data. A unique aspect of his research is the interdisciplinary approach, bridging computational modeling with neuroscience and environmental sciences. Through his work, Florêncio aims to enhance the understanding of physiological systems and contribute to the development of tools that improve diagnostics and treatment of neurological disorders.

Publication Top Notes:

  1. Cross-Correlation in Motor Learning: A Study with EEG Signals via Signal Statistics 📖🧠

  2. Spatial-Temporal Modeling of Diabetes Mellitus Cases in Bahia 🌍💉

  3. Modeling of the Differentiation of the Cross-Coefficient Without Trend 🚗🔍

  4. Comparative Evaluation Between Methods for Measuring Moisture Content in Reduced Wooden Pieces 🌲📊

  5. Networks Analysis of Brazilian Climate Data Based on the DCCA Cross-Correlation Coefficient 🌦️🌍

  6. Statistical Study of the EEG in Motor Tasks (Real and Imaginary) 🧠🏃‍♂️

  7. Detection of Crossover Points in Detrended Fluctuation Analysis: An Application to EEG Signals of Patients with Epilepsy 🔬💡

  8. Analysis of the EEG Bio-Signals During the Reading Task by DFA Method 📚🧠

  9. The Domany-Kinzel Cellular Automaton Phase Diagram 🧩📊

Conclusion:

Florêncio Mendes Oliveira Filho is highly deserving of the “Best Researcher Award.” His significant contributions to computational modeling and signal analysis, particularly in relation to EEG signals, have advanced our understanding of complex physiological processes and their implications in medical science. His interdisciplinary work in combining mathematical techniques with real-world clinical problems sets him apart as an innovative researcher. Although there is room for improvement in expanding his international collaborations and exploring broader clinical applications, his impactful publications, patents, and academic leadership make him an ideal candidate for this prestigious recognition.

Muhammad Irfan | Cell Structure Analysis | Best Researcher Award

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Dr. Muhammad Irfan | Cell Structure Analysis | Best Researcher Award

Dr. Muhammad Irfan , University of sargodha , Pakistan

Dr. Muhammad Irfan, born on April 1, 1983, in Sargodha, is an expert in condensed matter physics with a focus on electronic structure calculations using Density Functional Theory (DFT). He holds a Ph.D. in Physics from the University of Sargodha (2019) and has contributed significantly to the study of electronic, optical, and thermoelectric properties of solid materials. His research is instrumental in optimizing semiconductors used in energy-efficient devices like photovoltaic cells, LEDs, and thermoelectric materials. Dr. Irfan has a wide array of publications in high-impact journals, demonstrating his expertise in material science. With extensive teaching experience and active involvement in research, Dr. Irfan has established himself as a key figure in his field.

Publication Profile:

Scopus

Strengths for the Award:

Dr. Muhammad Irfan has made significant contributions to the field of condensed matter physics, particularly through his work on Density Functional Theory (DFT) simulations. His research has a broad scope, covering material properties such as electronic structure, elasticity, magnetism, and thermoelectrics. His work on optimizing semiconductors for energy-efficient devices like photovoltaics, LEDs, and thermoelectric materials showcases his strong focus on practical applications, contributing to advancements in renewable energy and energy conversion technologies. Dr. Irfan’s extensive publication record in high-impact journals demonstrates his high level of expertise and research capability. His interdisciplinary approach and ability to conduct in-depth simulations make him a strong candidate for the award.

Areas for Improvements:

While Dr. Irfan has an excellent academic background and research experience, expanding his collaborations with international research groups and engaging more in cross-disciplinary research could further enhance the global impact of his work. Additionally, focusing on the development of new experimental techniques or contributing more to patentable technologies would strengthen his standing in the broader scientific community.

Education:

Dr. Irfan’s academic journey began at the University of Sargodha, where he completed his M.Sc. (2006) and M.Phil. (2013) in Physics with top grades. He later earned his Ph.D. in 2019 from the same institution. In addition to his studies in Physics, Dr. Irfan also pursued an M.Ed. (2014) and B.Ed. (2011) from the Allama Iqbal Open University, Islamabad. His commitment to learning is reflected in his strong academic record, with distinctions in all his degrees, and he consistently strives to enhance his knowledge in both teaching and research.

Experience:

Dr. Irfan has diverse teaching experience, serving as an Assistant Professor (visiting) at the University of Lahore and a Research Assistant at Riphah International University. Over the years, he has contributed to various graduate and undergraduate programs, where he specialized in Physics and material science. His teaching approach is grounded in both theoretical and practical applications of condensed matter physics, ensuring that students develop a solid understanding of the subject. Dr. Irfan’s research-driven approach also enhances his teaching, bridging the gap between academia and real-world applications.

Research Focus:

Dr. Irfan’s research primarily focuses on the electronic structure, elasticity, thermoelectric properties, and magnetism of materials using Density Functional Theory (DFT). His work is pivotal in optimizing the properties of semiconductors for advanced applications in energy conversion, photovoltaics, and optoelectronics. He explores the interaction between materials and their interfaces, ensuring efficient charge and heat transfer. By investigating thermoelectric materials with high electrical conductivity and low thermal conductivity, Dr. Irfan aims to improve energy efficiency and sustainability, especially in waste heat recovery and energy conversion technologies.

Publications Top Notes:

  1. Optoelectronic structure and related transport properties of Ag2Sb2O6 and Cd2Sb2O7. 📚
  2. Fermi Surface and Optoelectronic Properties of Pyrochlore Oxide Superconductor (Kos2o6). 📖
  3. Enhanced thermoelectric properties of ASbO3 due to decreased band gap. 🔬
  4. Effects of compressed strain on thermoelectric properties of Cu3SbSe4. ⚡
  5. Structural, electronic, optical, and elastic properties of Ca2Nb2O7 crystals. 🔍
  6. Effect of Coulomb interactions on optoelectronic and magnetic properties of A2V2O7 compounds. 🧪
  7. Thermoelectric features of CaPd3B4O12 perovskites following DFT calculations. 🌍
  8. Doping-induced effects on optical and band structure properties of Sr2Si5N8 phosphors. 💡
  9. Optoelectronic properties of CaO: Eu+2 for energy applications. 🔋
  10. Elastic and optoelectronic properties of CaTa2O6 compounds. 🌟
  11. Doping effects on optical properties of Sr2Si5N8 phosphors: DFT approach. 📊

Conclusion:

Dr. Muhammad Irfan’s exceptional expertise in condensed matter physics, coupled with his consistent academic achievements and dedication to practical applications in renewable energy and materials science, makes him a strong contender for the Research for Best Researcher Award. His contributions have already provided valuable insights into material science, and with ongoing collaborations and innovations, he has the potential to make even greater strides in advancing sustainable technology.

 

 

 

Uma Chaurasiya | Medicinal plant | Women Researcher Award

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Dr Uma Chaurasiya | Medicinal plant |  Women Researcher Award

Research Scholar at  Jiwaji University, Gwalior,  India

Dr. Uma Chaurasiya, born on August 1, 1990, is a distinguished researcher in the field of Botany, currently based in Pune, Maharashtra. She earned her Ph.D. in Botany from Jiwaji University, Gwalior in 2024, with a focus on the phytochemical analysis and antifungal screening of the post-harvest pathogen Colletotrichum capsici using selected plant extracts. Her M.Phil. was completed at Dr. B.R. Ambedkar University, Uttar Pradesh in 2015, where she investigated iron and manganese-induced physiological and biochemical changes in Brassica nigra seedlings.

Profile:

🎓 Education:

  • Ph.D. (Botany), Jiwaji University, Gwalior (2024)
    Topic: Phytochemical Analysis and Antifungal Screening of Colletotrichum capsici
  • M.Phil. (Botany), Dr. B.R. Ambedkar University, Uttar Pradesh (2015)
    Topic: Iron and Manganese-Induced Changes in Brassica nigra Seedlings
  • M.Sc. (Botany), Dr. B.R. Ambedkar University, Uttar Pradesh (2013)
  • B.Sc. (Botany, Zoology, Chemistry), Dr. B.R. Ambedkar University, Uttar Pradesh (2011)

🏆 Awards:

  • CSIR-UGC JRF (2015)
  • Best Oral Presentation and Poster Awards at National and International Conferences

🛠 Skills & Expertise:

  • Natural product isolation and application
  • Antimicrobial assay techniques
  • Plant metabolome extraction and identification
  • Plant-microbe interactions
  • Ethnobotany and Agricultural Botany

Publication Top Notes:

  • Modern Era of Microbial Biotechnology: Opportunities and Future Prospects
    DK Maurya, A Kumar, U Chaurasiya, T Hussain, SK Singh
    Microbiomes and Plant Health, pp. 317-343, 2021
  • Medicinal Plant Extracts Enhanced the Shelf Life of Chilli Fruits Against the Anthracnose Disease Through Defense Modulation
    U Chaurasiya, MK Solanki, S Patel
    Biochemical Systematics and Ecology, 107, 104604, 2023
  • The Effect of Colchicine on Vicia faba and Chrysanthemum carinatum (L.) Plants and Their Cytogenetical Study
    KS Kushwah, S Patel, U Chaurasiya, MB Wani
    Vegetos, 34, pp. 432-438, 2021
  • Iron Induce Different Changes at Different Stages of the Development of Brassica nigra
    U Chaurasiya, S Patel, RK Agnihotri
    Discov Nat, 12, pp. 77-81, 2018
  • Antifungal Activity of Peristrophe paniculata Against Colletotrichum capsici
    U Chaurasiya, UMACS PATEL*
    Life Science Bulletin, 16 (1&2), pp. 209-212, 2019
  • Microbial Intervention in Waste Remediation for Bio-Energy Production
    U Chaurasiya, A Joshi, A Kumar, W Merkle, HJ Nägele, DK Maurya, …
    Current Research Trends and Applications in Waste Management, pp. 163-190, 2023
  • ‘Omics’ Approaches for Structural and Functional Insights of ‘Waste to Energy’ Microbiome
    A Kumar, Neeraj, U Chaurasiya, DK Maurya, S Basu, A Kumar, S Patel, …
    Current Research Trends and Applications in Waste Management, pp. 371-402, 2023
  • Endorsement of Antifungal Properties of Medicinal Plants Extract in Post-Harvest Diseases Management of Colletotrichum capsici
    U Chaurasiya
    International Journal of Botany Studies, 6 (Issue 5), pp. 913-920, 2021
  • Effect of Iron and Manganese Induced Heavy Metals Stress on Physiological Changes in Vegetative Growth of Brassica nigra
    U Chaurasiya, RK Agnihotri, R Sharma
    Research Journal of Agricultural Sciences, 7 (3), pp. 555-557, 2016
  • Biochemical Changes in Seedlings of Brassica nigra Imposed by Iron and Manganese Induced Heavy Metals Stress
    U Chaurasiya, RK Agnihotri, R Sharma
    IndianJournals.com, 6 (1), pp. 47-53, 2016
  • Phytochemical Analysis and Antifungal Screening of Post-Harvest Pathogen Colletotrichum capsici by the Use of Selected Plant Extracts
    U Chaurasiya
    Gwalior

 

Mingyue Xu | Food Waste | Best Researcher Award

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Dr Mingyue Xu | Food Waste |  Best Researcher Award

Student at  University of Science and Technology Beijing China

Dr. Mingyue Xu is currently a student at the University of Science and Technology Beijing, where he is deeply engaged in the field of organic solid waste resources. He holds a master’s degree from the University of Science and Technology Beijing and a doctorate from Tsinghua University. Dr. Xu has made significant contributions to his field, having published 16 papers in reputable journals such as Bioresource Technology and Industrial Crops and Products. His research focuses on composting, biodrying, and organic fertilizer.

Profile:

🎓 Academic Background:

Mingyue Xu holds a master’s degree from the University of Science and Technology Beijing and is currently pursuing a doctorate at Tsinghua University.

🔬 Research Focus:

Mingyue specializes in the field of organic solid waste resources, with a keen interest in composting, biodrying, and organic fertilizers.

Conclusion:

Dr. Mingyue Xu appears to be a strong candidate for the Best Researcher Award due to his robust academic background, significant research contributions, involvement in national projects, and the practical impact of his work on organic solid waste resources. His research outputs and innovations in composting and biodrying technologies align well with the award criteria, making him a suitable contender for the Best Researcher Award.

📈 Metrics:

  • Citations: 176
  • Documents: 16
  • h-index: 7

Publication Top Notes:

  • In-situ Utilization of Nitrogen-Rich Wastewater Discharged from a Biotrickling Filter as a Moisture Conditioning Agent for Composting: Insights into Nitrogen Transformation Behavior and Microbial Mechanism
    Authors: Xie, D., Yang, M., Zhang, S., Wang, Q., Liu, S.
    Journal: Bioresource Technology
    Year: 2023
    Volume: 369
    Article Number: 128362
    Citations: 5
  • Biodrying of Biogas Residue: Maturity and Microbial Diversity Assessment
    Authors: Xu, M., Yang, M., Song, N., Wang, Q., Wu, C.
    Journal: Journal of Environmental Chemical Engineering
    Year: 2022
    Volume: 10(6)
    Article Number: 108757
    Citations: 5
  • Bioconversion of Biowaste into Renewable Energy and Resources: A Sustainable Strategy
    Authors: Xu, M., Yang, M., Sun, H., Wang, Q., Wu, C.
    Journal: Environmental Research
    Year: 2022
    Volume: 214
    Article Number: 113929
    Citations: 27
  • In-situ Utilization of Nitrogen-Rich Wastewater Discharged from a Biotrickling Filter as a Moisture Conditioning Agent for Composting: Effect of Nitrogen Composition
    Authors: Xie, D., Yang, M., Xu, M., Wang, Q., Liu, S.
    Journal: Bioresource Technology
    Year: 2022
    Volume: 362
    Article Number: 127828
    Citations: 6
  • Role of Multistage Inoculation on the Co-Composting of Food Waste and Biogas Residue
    Authors: Xu, M., Yang, M., Sun, H., Wang, Q., Wu, C.
    Journal: Bioresource Technology
    Year: 2022
    Volume: 361
    Article Number: 127681
    Citations: 27
  • Biodrying of Biogas Residue through a Thermophilic Bacterial Agent Inoculation: Insights into Dewatering Contribution and Microbial Mechanism
    Authors: Xu, M., Sun, H., Yang, M., Wang, Q., Wu, C.
    Journal: Bioresource Technology
    Year: 2022
    Volume: 355
    Article Number: 127256
    Citations: 29

 

Zaryab Murad | Plant Growth | Young Scientist Award

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Mr Zaryab Murad |  Plant Growth  |  Young Scientist Award

Ph.D. Scholar at  Huazhong Agriculture University, China

Zaryab Murad, born on April 14, 1996, is a Pakistani national currently residing in Wuhan, Hubei, China. With a solid academic background in Soil and Environmental Sciences, he is pursuing his Doctor of Philosophy (Ph.D.) at Huazhong Agriculture University. Zaryab completed both his Master of Sciences (Hons) and Bachelor of Sciences (Hons) in Agriculture at The University of Agriculture Peshawar, Pakistan. His research focuses on the effects of bentonite clay and biochar on soil contamination and plant growth. Professionally, he has served as a Field Survey Project Manager at TAMEER-E-KHALAQ Foundation, where he works towards improving food security and agricultural practices. Additionally, he has held the position of Agriculture Policy Officer at the Agriculture Extension Department in KP, Pakistan. Fluent in Urdu and proficient in English, Zaryab has been recognized for his contributions to the field, including being a Gold Medalist at his alma mater. His technical skills include expertise in MS Office, Endnote, Statistics 8.1, Graphpad, and Sigmaplot.

Profile: 

Education and Training:

Zaryab Murad is a Doctoral candidate in Soil Science at Huazhong Agriculture University, Wuhan, China, with a focus on soil and environmental sciences. He completed his Master of Sciences (Hons) and Bachelor of Sciences (Hons) in Agriculture at The University of Agriculture Peshawar, Pakistan. His research includes the effects of bentonite clay and biochar on soil contamination and plant growth. He has gained hands-on experience with various soil analysis techniques, including using Flame Photometers and Atomic Absorption Spectrophotometers.

Work Experience:

Currently, Zaryab is a Field Survey Project Manager at TAMEER-E-KHALAQ Foundation, where he focuses on agricultural development and food security. He has previously served as an Agriculture Policy Officer at the Agriculture Extension Department in KP, Pakistan. His work involves enhancing production, facilitating value addition, and improving crop varieties.

Honors and Awards:

  • Gold Medalist, The University of Agriculture Peshawar, 2022

Certificates and Trainings:

  • Attended workshops and congresses on sustainable soil management and weed science.
  • Participated in the HZAU Happy Festival at Huazhong Agriculture University.

Research Focus: Plant Growth

Zaryab Murad’s research focuses on enhancing plant growth through innovative soil management techniques. His work primarily investigates the effects of soil amendments, such as bentonite clay and biochar, on the phytoavailability of heavy metals and overall plant health. Zaryab’s research aims to improve crop yields and soil fertility while mitigating contamination effects. His studies include evaluating how biochar and other amendments can stabilize heavy metals in soil and enhance the growth of various crops, particularly in contaminated environments. This research contributes to sustainable agricultural practices by improving soil conditions and plant resilience against pollutants.

Publication Top Notes:

  • Murad, Z., Bibi, S., Ahmad, S.E.Y., Manan, U., & Younas, M. (2024). Stabilization of Cd in Soil by Biochar and Growth of Rice (Oryza sativa) in Artificially Contaminated Soil. Sarhad Journal of Agriculture, 40(1), 231–245.
  • Khan, U., Irfan, M., Murad, Z., Waleed, M., & Kamal, A. (2023). Enhancing Lettuce Growth and Cadmium and Lead Tolerance Through Biochar and Bacteria. Gesunde Pflanzen, 75(6), 2685–2696.
  • Ilyas, M., Khan, M.J., Murad, Z., Ullah, A., & Farhan. (2023). Biofortification of Iron in Wheat Varieties Using Different Methods of Application. Gesunde Pflanzen, 75(5), 2177–2185.
  • Murad, Z., Ahmad, I., Waleed, M., Hashim, S., & Bibi, S. (2022). Effect of Biochar on Immobilization of Cadmium and Soil Chemical Properties. Gesunde Pflanzen, 74(1), 151–158.
  • Tariq, M., Khan, M.O., Hussain, A., Khalil, M.K., Muhammad, S., & Murad, Z. (2021). Impact of Soil and Foliar Application of Various Zinc Sources on the Yield and Uptake by Onion Under Agroclimatic Condition of Swat. International Journal of Agricultural and Statistical Sciences, 17, 2363–2376.