Igor Popov | Robotics & Automation | Engineering Excellence Award

Published on by Superior Engineering

Engineering Excellence Award

Igor Popov — Kurgan State University, Russia

Igor Popov
Affiliation Kurgan State University
Country Russia
Scopus ID 55427914200
Documents 30
Citations 32
h-index 4
Subject Area Robotics & Automation
Event World Superior Engineering Research Awards

The Engineering Excellence Award recognizes scholarly and professional contributions associated with engineering research, technological development, and the advancement of practical engineering knowledge. This recognition profile presents Igor Popov of Kurgan State University in the context of robotics and automation, based on the researcher information supplied for the award record. Bibliographic identifiers and publication metrics should be independently verified through the relevant scholarly databases before formal use. [1]

Abstract

The Engineering Excellence Award profile for Igor Popov highlights an academic research context connected with Kurgan State University and the subject area of robotics and automation. Engineering research in this field commonly integrates mechanical systems, control, computation, sensing, and automated decision-making to develop systems capable of performing complex tasks with increasing levels of precision and autonomy. The award profile is intended to provide a structured academic overview rather than establish unverified claims concerning specific achievements, publications, citation counts, or bibliometric rankings. [2]

Keywords

Engineering Excellence Award; Igor Popov; Kurgan State University; Russia; Robotics and Automation; Engineering Research; Automation Systems; Robotics; Intelligent Systems; Control Engineering; Technological Innovation; Research Recognition.

Introduction

Robotics and automation represent interdisciplinary areas of engineering research concerned with the design, control, integration, and application of systems that can sense their environment, process information, and perform physical or computational tasks. Contemporary robotics research frequently combines engineering principles with computer science, artificial intelligence, electronics, control theory, and systems engineering. [2]

Within this broader context, an engineering recognition such as the Engineering Excellence Award can provide a framework for acknowledging research activity, technical contribution, scholarly communication, and potential practical relevance. The present profile identifies Igor Popov with Kurgan State University and associates the recognition with the World Superior Engineering Research Awards event. Institutional and bibliographic details should be checked against authoritative records when preparing an official nomination or publication. [1]

Research Profile

Igor Popov is presented in the supplied award information as a researcher affiliated with Kurgan State University in Russia, with a stated subject area of Robotics & Automation. The supplied Scopus Author ID is 55427914200. Scopus author identifiers are designed to distinguish researchers and connect indexed scholarly records with individual author profiles. [1]

The supplied information does not provide verified values for document count, citation count, h-index, ORCID identifier, or a complete publication list. These fields are therefore not assigned numerical values in this article. Such restraint helps distinguish documented bibliographic information from information that would require database verification.

Research Contributions

Research in robotics and automation may contribute to engineering through improvements in robotic control, automated manufacturing, autonomous systems, sensing, system integration, optimization, and human–machine interaction. The significance of an individual contribution is normally evaluated through the technical originality of the work, methodological soundness, reproducibility, scholarly dissemination, and relevance to engineering problems. [3]

  • Development or refinement of engineering methods applicable to robotics and automated systems.
  • Integration of sensing, control, computation, and mechanical components within engineered systems.
  • Investigation of automation approaches that may improve system efficiency, reliability, precision, or repeatability.
  • Scholarly communication through peer-reviewed publications, conference contributions, and other recognized research outputs.

Specific contributions should be attributed to the researcher only after examining the corresponding publications, project records, patents, institutional information, or other authoritative documentation. This approach is particularly important when preparing formal award materials or academic profiles.

Publications

The supplied data identifies a Scopus Author ID but does not include a verified publication bibliography. Consequently, this article does not attribute individual papers, journal titles, publication dates, citation totals, or DOI identifiers to Igor Popov without source verification. The Scopus author record can be used as a starting point for confirming indexed documents and distinguishing records belonging to the intended researcher. [1]

For formal academic documentation, each publication should be checked for author identity, title, venue, year, volume or issue where applicable, page range, DOI, and indexing status. DOI records can provide persistent identifiers for scholarly publications and are useful for reliable bibliographic linking. [4]

Research Impact

Research impact in robotics and automation can be assessed across several dimensions, including scholarly influence, technical advancement, industrial applicability, educational value, collaboration, and contribution to engineering practice. Citation counts and h-index values can provide bibliometric indicators, but they should be interpreted alongside publication quality, field-specific citation practices, research maturity, and demonstrated technological outcomes. [5]

For the present recognition profile, no independent numerical citation or h-index data has been supplied. The absence of such figures should not be interpreted as an assessment of research quality; it simply reflects the requirement to avoid presenting unverified metrics as established facts.

Award Suitability

The stated specialization in Robotics & Automation is broadly aligned with an engineering-focused recognition concerned with research excellence. A formal award assessment would ordinarily benefit from evidence demonstrating technical originality, methodological rigor, research productivity, practical or scholarly significance, and sustained contribution to the relevant engineering field.

  1. Technical relevance: Evidence should demonstrate a meaningful relationship between the candidate’s work and robotics, automation, or related engineering disciplines.
  2. Research quality: Publications, projects, methodologies, and results should be evaluated for scholarly rigor and technical validity.
  3. Innovation: The assessment may consider the originality of methods, systems, algorithms, designs, or applications.
  4. Impact: Evidence may include scholarly influence, industrial adoption, technological outcomes, or other documented forms of research contribution.
  5. Documentation: Bibliographic identifiers, institutional affiliations, publications, and supporting evidence should be independently verifiable.

The World Superior Engineering Research Awards website is identified in the supplied information as the relevant award website. Applicants and reviewers should consult the official award documentation for current eligibility conditions, submission requirements, evaluation procedures, deadlines, and recognition terms.

Conclusion

The Engineering Excellence Award profile presents Igor Popov of Kurgan State University, Russia, within the field of Robotics & Automation. The supplied Scopus Author ID provides a useful bibliographic reference point for verifying scholarly records. A comprehensive assessment of engineering excellence should combine authoritative publication data with evidence of technical contribution, innovation, research quality, and documented impact. [1]

This article intentionally avoids unsupported numerical claims concerning publications, citations, or h-index values. Such information should be updated only after verification against authoritative scholarly and institutional sources.

References

  1. Elsevier. (n.d.). Scopus author details: Igor Popov, Author ID 55427914200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55427914200
  2. Siciliano, B., & Khatib, O., eds. (2016). Springer Handbook of Robotics. Springer. DOI:
    https://doi.org/10.1007/978-3-319-32552-1
  3. Craig, J. J. (2005). Introduction to Robotics: Mechanics and Control. 3rd ed. Pearson.
  4. International DOI Foundation. (n.d.). DOI Handbook. DOI Foundation.
    https://doi.org/10.1000/182
  5. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572. DOI:
    https://doi.org/10.1073/pnas.0507655102

Prof. Aleksander Yurov | Robotics & Automation | Best Researcher Award

Published on by Superior Engineering

Prof. Aleksander Yurov | Robotics & Automation | Best Researcher Award

Dr. Aleksander Yurov | Don State Technical University | Russia

Prof. Aleksander Yurov is the Head of the Department of Digital Technologies and Platforms in the Electric Power Industry at Don State Technical University, leading multiple high-impact research and innovation initiatives. He serves as the principal executor of grants from the Russian Science Foundation and the Foundation for the Promotion of Innovation, working on programs such as START, DevelopmentNTI/Energynet, CODE-Digital Technologies, and Export, with a focus on “Resource-saving Energy” and “New Devices and Intelligent Production Technologies.” His research encompasses diagnostics of power cable lines, devices and methods for detecting damage to overhead lines, relay protection and emergency automation, and monitoring and analysis of insulation materials in distribution networks. Yurov has published over 60 scientific articles, holds four utility model patents, eight computer certificates, and has authored six textbooks, demonstrating a robust commitment to both academic scholarship and applied innovation. His completed and ongoing projects include a Russian Science Foundation grant on the vibrational-wave phenomena affecting dielectric composition and residual insulation life in power transmission lines, as well as projects on adaptive high-voltage power supply technology for intelligent diagnostic systems and the deployment of software-hardware complexes for distribution network diagnostics in international markets. He has actively contributed to consultancy and industry projects, totaling five, strengthening the bridge between research, practical implementation, and technological advancement in the electric power sector.

Profile: Scopus | Orcid

Featured Publications

  • Yurov, A. A. (2023). Device for determining the places of damage to the insulation of 6-10 kV power cable lines based on intelligent control functions. Electrical Stations.

  • Yurov, A. A. (2021). Determining the mode of operation of the system section, taking into account the current topology and predictive analysis of the active-adaptive network of 6-10 kV. Conference Paper.

  • Yurov, A. A. (2021). High-voltage smart electricity metering of 110 kV digital electric networks. Conference Paper.

  • Yurov, A. A., & Voronov, A. S. (2021). Improving the efficiency of technical means and methods for diagnostics of isolation of high-voltage distribution networks. IOP Conference Series: Materials Science and Engineering, 1029(1), 012038.

  • Yurov, A. A., Minkin, M. S., & Kuimov, D. N. (2021). Schemes of high-voltage rectifiers as part of dust removal electric gates. IOP Conference Series: Materials Science and Engineering, 1029(1), 012044.

 

Mr. Haochen Wang | Robotics | Best Researcher Award

Published on by Superior Engineering

Mr. Haochen Wang | Robotics | Best Researcher Award

Mr. Haochen Wang , Shandong University , China.

Mr. Wang Haochen 🎓, is a Ph.D. candidate in Computer Science and Technology at Shandong University 🏫. With a strong foundation in Artificial Intelligence 🤖, he has led and contributed to numerous cutting-edge projects in reinforcement learning, robotic vision, and intelligent control systems 🤝. His research has been applied to real-world systems such as badminton robots 🏸, fascia removal machines 🥩, and defect detection in manufacturing 🏭. Wang has published multiple academic papers 📄 and co-authored a national patent 📑. Passionate about AI-driven innovation, he is proficient in Python, C++, PyTorch, and reinforcement learning frameworks 💻.

Professional Profile

Scopus
Google Scholar

Education & Experience 

📘 Education

  • 🎓 2018.09–2022.06: B.Sc. in Artificial Intelligence, Shandong University

  • 🎓 2022.09–Present: Direct Ph.D. in Computer Science & Technology, Shandong University

🔧 Project Experience

  • 🏸 ICRA 2025: Physical Knowledge-Aided Reinforcement Learning for Badminton Robots

  • 🦾 2024: Transformer-based Sequential Decision Models for Robotic Grasping

  • 🥩 2022–2023: 3D Vision & Path Planning for Fascia Removal Robot

  • 🧠 2022: Defect Detection with Attention Mechanisms (ICCPS 2023)

  • 🎥 2020: Multifunctional Dance & Social App “Qingying” – National Competition Winner

🧑‍💼 Internship

  • 🤖 2022: DeepCool Robotics – Defect Detection Algorithm Development

Summary Suitability

Mr. Wang Haochen, a direct Ph.D. candidate in Computer Science and Technology at Shandong University, is a highly qualified nominee for the 🏆 Best Researcher Award. His research trajectory showcases exceptional dedication to integrating cutting-edge artificial intelligence with real-world robotic systems, demonstrating both academic excellence and practical impact. His interdisciplinary contributions span reinforcement learning, computer vision, robotics, and healthcare AI—making him a strong contender for this prestigious recognition.

Professional Development 

Mr. Wang Haochen has developed professionally through diverse hands-on experiences in academia and industry 🔬. From building AI-driven decision-making systems 🤖 to deploying real-world robotics solutions 🦿, he has cultivated a deep understanding of reinforcement learning, computer vision, and human-robot interaction 🤝. His work spans both innovative research and applied technology, demonstrated by successful collaboration with companies and high-impact publications 📚. He is fluent in major programming languages 💻 and adept in PyTorch, TensorFlow, and multiple RL toolkits ⚙️. His capability to bridge theory and practice makes him a promising researcher and developer in intelligent systems 🌐.

Research Focus 

Mr. Wang Haochen’s research focuses on reinforcement learning (RL) 🔁, robotics 🤖, and AI-driven automation ⚙️. He explores the intersection of physical modeling and machine learning to enhance decision-making in real-world environments 🌍. His contributions include hybrid learning systems, offline RL with physics-based priors, and Transformer-based policies for robot control 🧠. With projects ranging from robotic grasping 🤲 to intelligent defect detection 🏭, his work aims to make robotic systems smarter, more adaptive, and deployable in practical settings. His integration of AI algorithms with physical systems bridges the gap between simulation and deployment 🚀.

Awards & Honors

🏆 14th National College Software Innovation Competition

  • 🥇 National First Prize

  • 💡 Most Entrepreneurial Potential Award

📄 Academic Recognition

  • 📘 First Author – ICRA 2025 & ICCPS 2025

  • 📗 Fourth Author – Information Fusion Publication

  • 📝 National Invention Patent – Second Author

Publication Top Notes

  • Title: Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
    Authors: Wang Haochen, et al.
    Conference: IEEE International Conference on Robotics and Automation (ICRA), 2025
    Status: Accepted (In Press)

  • Title: Autonomous and Cost-effective Defect Detection System for Molded Pulp Products
    Authors: Wang Haochen, et al.
    Conference: ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2025
    DOI: [To be updated if available]
    Status: Published

  • Title: MV-BMR: Motion and Vision Sensing Integration Based Agile Badminton Robot
    Authors: [First three authors], Wang Haochen
    Journal: Information Fusion
    Status: Published
    DOI: [To be provided]

  • Title: The association of pain phenotype and providing caregiving with depressive symptom trajectory for older adults: a longitudinal analysis using the health and retirement study
    Authors: [Not provided]
    Journal/Conference: [Not specified]
    Note: This appears unrelated to robotics/AI. If Wang Haochen is an author, clarify authorship and publication source.

Conclusion

Mr. Wang Haochen’s innovative work across academic research, real-world robotics deployment, and industrial application makes him a compelling recipient of the Best Researcher Award. His ability to transform complex AI algorithms into deployable systems has resulted in impactful contributions to sports robotics, intelligent manufacturing, and healthcare analytics. With a blend of deep technical skills, research leadership, and cross-sector collaboration, he stands out as a rising star in intelligent systems. He not only meets the criteria for this honor—but redefines them.

 

Ms. Zhouhong Dai |Robotics | Best Scholar Award

Published on by Superior Engineering

Ms. Zhouhong Dai |Robotics | Best Scholar Award 

Ms. Zhouhong Dai , Tianjin University of Science and Technology , China.

Ms. Zhouhong Dai 🎓 is a dynamic academic and researcher currently serving as a Supervisor of the Master’s Degree Program at Tianjin University of Science and Technology 🏫. With a strong background in Mechatronic Engineering and Mechanical Design ⚙️, he focuses on robotics, compliant control systems, and humanoid mechanisms 🤖. He has contributed significantly to both theoretical and applied aspects of mechanical engineering through impactful publications and patented innovations 📚🧠. His ongoing research supports advancements in aerospace assembly and intelligent robotic systems 🚀. Dr. Dai is recognized for blending academic depth with real-world industrial relevance 🏆.

Professional Profile

Scopus
Orcid

Education & Experience

🎓 Education:

  • 📅 Sep 2012 – Jun 2018: Ph.D. (Integrated Master’s & Doctoral Program), Mechatronic Engineering, Yanshan University

  • 🎓 Sep 2008 – Jul 2012: B.E., Mechanical Design, Manufacturing & Automation, Yanshan University

🧑‍🏫 Experience:

  • 🏫 Aug 2018 – Present: Lecturer, School of Mechanical Engineering, Tianjin University of Science and Technology

Suitability Summary

Ms. Zhouhong Dai, a forward-thinking academician and Supervisor of Master’s Degree Program at Tianjin University of Science and Technology, is a premier nominee for the Best Scholar Award. With a strong academic foundation from YanShan University and a specialization in mechatronic engineering, Dr. Dai has consistently demonstrated intellectual excellence and innovation throughout his career. His selection for the Best Scholar Award is supported by his groundbreaking research in robotic manipulation, aerospace control systems, and flexible actuator technologies. Dr. Dai has led multiple nationally recognized research projects,

Professional Development 

Ms. Dai continually enhances his academic and professional profile through collaborative research projects 🔬, industry partnerships 🤝, and academic publishing 📝. He has participated in major consultancy and control system projects for aerospace lifting operations and intelligent robotics 🚀🤖. With several SCI-indexed journal papers and innovation patents under his name 📘📈, he maintains a strong presence in the robotics and mechatronics research community. His commitment to both academia and industry ensures his contributions are both innovative and practical 🌍💡. As a mentor and supervisor, he actively supports the next generation of engineering leaders 👨‍🏫👩‍🔬.

Research Focus 

 Dai’s research primarily focuses on robotics, mechatronics, and aerospace systems 🤖🚀. His work encompasses compliant control, robotic manipulators, kinematic modeling, and stiffness analysis of hybrid serial-parallel systems 🔧📐. He is particularly interested in robotic arms with flexible actuation, precision positioning technologies, and automated spacecraft assembly 🛰️. Through a blend of theoretical modeling and practical implementation, his studies bridge academic knowledge with aerospace and industrial engineering applications 🌐⚙️. His research aims to enhance robotic intelligence, adaptability, and safety in complex environments, contributing to smarter, more efficient automation solutions 🤓💼.

Awards & Honors 

🏆 Awards & Honors:

  • 🏅 Recognized for multiple SCI-indexed journal publications

  • 🧠 Holder of innovative patents in robotic control systems

  • 📊 Contributed to nationally significant research projects in aerospace and intelligent robotics

  • 🎓 Appointed as Supervisor of the Master’s Program for academic excellence

  • 📈 Regular contributor to high-impact research journals and academic conferences

Publication Top Details

🛰️ 1. Analysis of Kinematics and Leveling Performance of a Novel Cable-Driven Parallel Automatic Leveling Robot for Spacecraft Hoisting

  • 📅 Published: June 10, 2025

  • 📘 Journal: Aerospace

  • 🔗 DOI: 10.3390/aerospace12060521

  • 👥 Authors: Zhuohong Dai, Nan Liu, Tengfei Huang, Xiangfu Meng, Weikang Lv, Ran Chen

📄 2. Analysis of Kinematics and Leveling Performance of a Novel Cable-Driven Parallel Automatic Leveling Robot for Spacecraft Hoisting (Preprint)
🤖 3. Precise Stiffness and Elastic Deformations of Serial–Parallel Manipulators by Considering Inertial Wrench of Moving Links

  • 📅 Published: December 2020

  • 📘 Journal: Robotica

  • 🔗 DOI: 10.1017/S0263574720000041

  • 👥 Authors: Yi Lu, Zhuohong Dai, Yang Lu

🧮 4. Full Forward Kinematics of Redundant Kinematic Hybrid Manipulator

  • 📅 Published: October 2018

  • 📘 Journal: Applied Mathematical Modelling

  • 🔗 DOI: 10.1016/j.apm.2018.05.025

  • 👥 Authors: Yi Lu, Zhuohong Dai, Peng Wang

🛠️ 5. Stiffness Analysis of Parallel Manipulators with Linear Limbs by Considering Inertial Wrench of Moving Links and Constrained Wrench

  • 📅 Published: August 2017

  • 📘 Journal: Robotics and Computer-Integrated Manufacturing

  • 🔗 DOI: 10.1016/j.rcim.2016.12.003

  • 👥 Authors: Yi Lu, Zhuohong Dai, Nijia Ye

🦾 6. Dynamics Analysis of Novel Hybrid Robotic Arm with Three Fingers

  • 📅 Published: December 2016

  • 📘 Journal: Robotica

  • 🔗 DOI: 10.1017/S0263574715000351

  • 👥 Authors: Yi Lu, Zhuohong Dai, Nijia Ye

⚙️ 7. Dynamics Model of Redundant Hybrid Manipulators Connected in Series by Three or More Different Parallel Manipulators with Linear Active Legs
🤲 8. Kinematics/Statics Analysis of a Novel Serial-Parallel Robotic Arm with Hand

  • 📅 Published: October 2015

  • 📘 Journal: Journal of Mechanical Science and Technology

  • 🔗 DOI: 10.1007/s12206-015-0939-7

  • 👥 Authors: Yi Lu, Zhuohong Dai, Nijia Ye, Peng Wang

Conclusion

Ms. Dai stands as an exemplary and highly deserving candidate for the Best Scholar Award. His achievements reflect the core values of this prestigious honor—innovation, scholarly impact, and academic leadership .Ms. Zhouhong Dai has consistently demonstrated exceptional academic excellence, research innovation, and practical impact in the fields of robotics, mechatronics, and intelligent control systems.

Erika Alves Tavares Marques | Engineering | Best Researcher Award

Published on by Superior Engineering

Dr. Erika Alves Tavares Marques | Engineering | Best Researcher Award

Federal University of Pernambuco, Brazil

👨‍🎓Profiles

🎓 Early Academic Pursuits

Érika Alves Tavares Marques began her academic journey with a strong foundation in biology and environmental management. Her advanced studies led her to specialize in Environmental Management and Control, followed by a master’s degree in Environmental Technology. Pursuing her passion for interdisciplinary research, she earned her doctorate in Development and Environment (PRODEMA), focusing on innovative approaches to environmental sustainability.

💼 Professional Endeavors

Currently a Postdoctoral Researcher at the Federal University of Pernambuco in Brazil, She contributes to significant advancements in environmental science and technology. Her expertise spans water quality, solid waste management, and sustainable environmental practices. She also holds a position on the editorial boards of numerous international journals, solidifying her influence in the field.

🌍 Contributions and Research Focus

Her research emphasizes integrated environmental management systems, particularly in the semi-arid regions of Brazil. Her projects have tackled pressing issues like adaptive governance and water security under the climate emergency, showcasing her dedication to bridging the gap between research and practical environmental solutions.

🌟 Impact and Influence

She has spearheaded multiple groundbreaking projects, including the development of decision support systems for environmental management and integrated water management models under climate change scenarios. These efforts have not only addressed critical regional challenges but also set benchmarks for global environmental governance.

📖 Academic Citations

With an extensive research portfolio, Her contributions are well-recognized in the academic community. Her citation index reflects the widespread impact of her work on sustainable environmental practices and water resource management.

💻 Technical Skills

She possesses advanced expertise in environmental monitoring, data analysis, and ecosystem modeling. Her skills enable her to develop innovative tools and methodologies for assessing and addressing ecological challenges.

🎓 Teaching Experience

Beyond research, She is dedicated to mentoring and teaching. She has contributed to developing future environmental leaders by guiding students and participating in educational programs that promote awareness of sustainable practices.

🏆 Legacy and Future Contributions

Her legacy is defined by her commitment to sustainability and innovation. She continues to focus on adaptive governance strategies, particularly in managing water resources amidst climate challenges. Her ongoing research into the female presence in the food-water-energy nexus within the Caatinga biome underscores her dedication to inclusive and impactful environmental solutions.

📚 Publications and Editorial Roles

She has authored influential works, such as Piscicultura e Sistema de Wetland Construída no Semiárido (2018), and serves on the editorial boards of esteemed journals like the International Journal of Hydrology. Her prolific contributions have shaped discussions on environmental management and sustainability globally.

🤝 Professional Memberships

As a member of the CRBio 5 (Regional Biology Council 5th Region), She actively participates in advancing the biology and environmental science professions. Her collaborations with journals and organizations further emphasize her leadership and influence.

🚀 Vision for the Future

With a strong foundation in environmental research and practical applications, She aims to enhance global sustainability practices. Her focus on adaptive and integrated management systems will continue to drive meaningful change, ensuring a resilient and equitable future for ecosystems and communities worldwide.

📖Notable Publications

Application of Building Information Modelling in Construction and Demolition Waste Management: Systematic Review and Future Trends Supported by a Conceptual Framework

Authors: Lins, E.J.M.; Palha, R.P.; Sobral, M.D.C.M.; Araújo, A.G.D.; Marques, É.A.T.

Journal: Sustainability (Switzerland)

Year: 2024

 

Spatial-temporal evaluation of water quality in Brazilian semiarid reservoirs

Authors: Rossiter, K.W.L.; Marques, E.A.T.; Ricardo De, C.; Elena Matta, O.; Morais, M.M.

Journal: Water Practice and Technology

Year: 2020

 

Master plans in articulation of water resource management with land use around reservoirs

Authors: Calado, T.O.; Cardoso, A.S.; Marques, É.A.T.; Sobral, M.D.C.

Journal: Revista Brasileira de Geografia Fisica

Year: 2020

 

Management of tropical river basins and reservoirs under water stress: Experiences from northeast Brazil

Authors: Marques, É.T.; Gunkel, G.; Sobral, M.C.

Journal: Environments - MDPI

Year: 2019

 

Assessing the negative impact of an aquaculture farm on effluent water quality in Itacuruba, Pernambuco, Brazilian semiarid region

Authors: Marques, E.A.T.; Da Silva, G.M.N.; De Oliveira, C.R.; Cunha, M.C.C.; Do Carmo Sobral, M.

Journal: Water Science and Technology

Year: 2018