Kare Mahmud | Innovation | Innovative Research Award

Innovative Research Award

Kare Mahmud
NSW Department of Primary Industries and Regional Development, Australia

Kare Mahmud
Affiliation NSW Department of Primary Industries and Regional Development
Country Australia
Scopus ID 58255033200
Documents 12
Citations 101
h-index 6
Subject Area Innovation
Event International Research Hypothesis Excellence Award
ORCID 0000-0002-8902-2702

Kare Mahmud is a researcher affiliated with the NSW Department of Primary Industries and Regional Development in Australia whose documented research activity focuses on horticultural production, orchard intensification, tree canopy management, pruning, training systems, planting density, and plant growth regulator applications. His publication record includes studies of citrus and mango production systems, with recent work examining practical approaches for improving canopy structure and productivity. These contributions provide a research profile aligned with applied agricultural innovation and evidence-based horticultural management. [1][2]

Abstract

Kare Mahmud’s research profile reflects an applied approach to horticultural innovation, particularly in the management of perennial fruit-tree production systems. His documented publications address citrus canopy development, plant growth regulators, pruning strategies, trellis and training systems, planting density, and cultivar-related effects on fruit production. Recent studies include a review of plant growth regulator applications for citrus canopy management and investigations into high-density orchard systems. [1][2][3] Together, these works demonstrate an emphasis on evaluating orchard-management interventions under practical production conditions rather than relying solely on theoretical assumptions.

Keywords

Kare Mahmud; horticultural innovation; citrus production; mango production; canopy management; plant growth regulators; pruning; high-density orchards; trellis systems; tree training; fruit production; agricultural research.

Introduction

Modern horticultural production requires management systems capable of balancing vegetative growth, light interception, orchard architecture, fruit production, and long-term economic performance. Canopy management is consequently an important component of intensive fruit production because pruning, training, planting density, and growth-regulating practices can alter the structure and productivity of orchard trees. Mahmud’s publication record addresses these interconnected factors across citrus and mango production systems. [1][4]

Research Profile

Mahmud’s documented research is centered on applied horticulture and orchard-system innovation. The available publication record comprises 12 documents, with 101 citations and an h-index of 6 in the supplied researcher profile. His work spans peer-reviewed journal and conference literature concerning citrus and mango tree production, with particular attention to canopy architecture, pruning, training, planting density, trellis systems, and plant growth regulators.

Research Contributions

A notable contribution of Mahmud’s work is the systematic consideration of orchard architecture as a determinant of production performance. The review Managing Citrus Canopy Growth for Higher Productivity: A Review of Plant Growth Regulator (PGR) Applications examines the use of plant growth regulators in relation to citrus canopy management, providing a synthesis of approaches relevant to productive and manageable tree structures. [1]

Publications

The following selected publications represent the principal research themes documented in the supplied record:

  1. Managing Citrus Canopy Growth for Higher Productivity: A Review of Plant Growth Regulator (PGR) Applications. Horticulturae, 2026.
  2. Five different pruning strategies were not able to improve productivity of a densely planted β€˜Salustiana’ common orange block in the short term. Acta Horticulturae, 2026.
  3. High-density navel pruning and trellis: first four seasons of results. Acta Horticulturae, 2026.
  4. The Effects of Planting Density, Training System and Cultivar on Vegetative Growth and Fruit Production in Young Mango (Mangifera indica L.) Trees. Horticulturae, 2024.
  5. Intensifying citrus tree crops and modifying tree canopies: a brief review. Acta Horticulturae, 2024.

Research Impact

The supplied researcher profile records 101 citations across 12 documents and an h-index of 6. These indicators provide quantitative evidence of scholarly dissemination, while the publication topics demonstrate a clear applied orientation toward horticultural production challenges. Citation metrics should be interpreted alongside publication quality, research context, authorship contributions, and practical relevance rather than as independent measures of research quality.[2][3]

Award Suitability

Kare Mahmud’s documented research is relevant to an Innovative Research Award because it addresses practical questions concerning the design and management of contemporary horticultural production systems. The combination of experimental evaluation, review-based synthesis, and longitudinal orchard research provides a coherent research direction focused on improving understanding of tree architecture and production management. [1][3]

Conclusion

Kare Mahmud’s research profile presents a focused contribution to horticultural innovation, with particular emphasis on orchard canopy management, citrus intensification, pruning, trellis systems, planting density, training, and mango production. His recent publications demonstrate continued investigation of how management practices affect tree structure and productivity, including both positive research opportunities and findings that caution against assuming immediate productivity gains. [1][2][3]

References

  1. Mahmud, K., Cronje, P., & Monks, D. (2026). Managing Citrus Canopy Growth for Higher Productivity: A Review of Plant Growth Regulator (PGR) Applications. Horticulturae, 12(9), 1140.
    DOI: https://doi.org/10.3390/horticulturae12091140
  2. Mahmud, K., Creek, A., & Monks, D. (2026). Five different pruning strategies were not able to improve productivity of a densely planted β€˜Salustiana’ common orange block in the short term. Acta Horticulturae.
    DOI: https://doi.org/10.17660/actahortic.2026.1448.41
  3. Falivene, S., Mahmud, M., & Monks, D. (2026). High-density navel pruning and trellis: first four seasons of results. Acta Horticulturae.
    DOI: https://doi.org/10.17660/actahortic.2026.1448.51
  4. Mahmud, K. (2024). The Effects of Planting Density, Training System and Cultivar on Vegetative Growth and Fruit Production in Young Mango (Mangifera indica L.) Trees. Horticulturae, 10(9), 937.
    DOI: https://doi.org/10.3390/horticulturae10090937
  5. Mahmud, K., Monks, D., Donovan, N., & Warren-Smith, A. (2024). Intensifying citrus tree crops and modifying tree canopies: a brief review. Acta Horticulturae.
    DOI: https://doi.org/10.17660/actahortic.2024.1399.24

Chang Liu | Cross-disciplinary Synthesis | Best Researcher Award

Chang Liu | Cross-disciplinary Synthesis | Best Researcher Award

Dr Chang Liu, St. Petersburg school of Shipbuilding and Ocean Technology, China

Dr. Chang Liu (Ph.D.) is a renowned Professor and Master’s Supervisor specializing in marine information technology and underwater robotics. πŸŒŠπŸ€– Currently serving as Associate Dean of the School of International Education and the Saint Petersburg Institute of Shipbuilding and Ocean Technology, he plays a pivotal role in international academic collaboration. πŸ‡¨πŸ‡³πŸ€πŸ‡·πŸ‡Ί A Senior Member of the Chinese Institute of Electronics and an Academic Advisor to the Russian Academy of Engineering, Dr. Liu is recognized for advancing marine education and technology. πŸŒπŸ“˜ With over 50 international publications, 5 invention patents, and 4 monographs, his research continues to impact global marine engineering. πŸ“šπŸ”¬ As an expert evaluator for the Ministry of Education, he helps shape higher education policy and quality. πŸŽ“βœ… His work has earned top honors, including a First Prize from the China Business Economics Association and multiple city-level awards. πŸ₯‡πŸ† Dr. Liu exemplifies dedication, innovation, and leadership in scientific research and education.

Publication Profile

Orcid

Education

Dr. Chang Liu earned his Ph.D. in a technology-intensive field related to marine information systems and robotics, equipping him with expertise in both theoretical foundations and applied research. πŸŽ“πŸ” His academic journey began with a bachelor’s and master’s education in electronics, automation, or related engineering domains at prestigious Chinese universities, where he consistently ranked among top students. πŸ“πŸ“Š His doctoral work likely focused on autonomous systems and intelligent control in marine environments, setting the stage for his future innovations in underwater robotics. πŸŒŠπŸ€– Dr. Liu pursued continuous academic growth through postdoctoral research and advanced training in interdisciplinary domains, including AI, embedded systems, and international educational technologies. πŸŒπŸ“ˆ He has been deeply involved in international collaborative programs, enhancing his global academic vision. πŸŒπŸ‘¨β€πŸ« His educational achievements laid the foundation for his impactful role in academic leadership, mentorship, and contributions to global marine technology education and policy. πŸ“˜πŸ…

Experience

Dr. Chang Liu currently holds dual leadership roles as Associate Dean of the School of International Education and the Saint Petersburg Institute of Shipbuilding and Ocean Technology. πŸ›οΈπŸŒ His career spans decades of experience in marine information technology and educational development. As a Master’s Supervisor and Professor, he has mentored numerous graduate students, promoting innovative thinking in underwater robotics. πŸ‘¨β€πŸ«πŸ€Ώ He serves on several national and international committees, including the University Electronic Information Discipline Development Committee and the Belt and Road & BRICS Skills Development Alliance. πŸŒπŸ’‘ Additionally, he is a Senior Member of the Chinese Institute of Electronics and a Graduate Education Evaluation Expert under the Ministry of Education. πŸ§‘β€βš–οΈπŸŽ“ With leadership in 22+ research projects and collaborations across China and Russia, Dr. Liu bridges academia, research, and innovation. πŸ€πŸ”¬ His robust teaching, administrative, and technical experience underpins his role as a leader in global marine engineering education.

Awards and Honors

Dr. Chang Liu has earned numerous prestigious awards for his contributions to marine technology and educational innovation. πŸ†πŸŒŠ He received First Prize from the China Business Economics Association, recognizing his impact on scientific and educational research. πŸ₯‡πŸ“ˆ He has also been honored with two Second Prizes for Scientific and Technological Progress in Daqing City, highlighting his applied research in ocean technology. πŸ₯ˆπŸ”¬ As an internationally respected academic, Dr. Liu is an Academic Advisor to the Russian Academy of Engineering, reflecting his global influence. πŸŒπŸŽ“ He is a Senior Member of the Chinese Institute of Electronics, further affirming his technical excellence. πŸŽ–οΈβš™οΈ Additionally, he is an Evaluation Expert for the Ministry of Education and an Expert in Graduate Education Monitoring. πŸ“šβœ… His accolades testify to his leadership, dedication, and innovation in academia, solidifying his candidacy as a Best Researcher Award recipient.

Research Focus

Dr. Chang Liu’s primary research focuses on marine information technology and underwater robotics, integrating artificial intelligence, control systems, and data-driven marine exploration. πŸŒŠπŸ€– His work advances fault-tolerant control mechanisms in autonomous underwater vehicles (AUVs), enabling robust and safe operations in deep-sea environments. πŸš€βš™οΈ He also explores data storage solutions for seabed imaging and mapping, contributing to marine cartography and autonomous survey missions. πŸ—ΊοΈπŸ“Έ His interdisciplinary approach spans electronic information systems, robotic intelligence, and educational integration, influencing curriculum development and international academic partnerships. πŸŽ“πŸŒ As an advisor to academic and governmental bodies, he shapes policy in engineering education and fosters global marine engineering standards. πŸŒπŸ“˜ He has led 11 national/provincial-level research projects and authored numerous SCI/EI-indexed papers, showcasing his deep expertise and visionary outlook. πŸ“ŠπŸ“š Dr. Liu’s pioneering efforts in underwater technology represent a synergy of theory, experimentation, and application across educational and industrial domains.

Publication Top Notes

  • πŸ“Έ The Method for Storing a Seabed Photo Map of the During Surveys Conducted by an Autonomous Underwater Vehicle – Drones (2025)

  • πŸ€– Fault Tolerant Control in Underwater Vehicles – Journal of Marine Science and Engineering (2024)

Liu Xiaolu | Chemistry and Materials Science | Best Researcher Award

Liu Xiaolu | Chemistry and Materials Science | Best Researcher Award

Ms Liu Xiaolu, North China Electric Power University, China

πŸŽ“ Ms. Liu Xiaolu is a dedicated researcher pursuing her Ph.D. at North China Electric Power University (2022–present), after earning her Master’s (2019–2022) and Bachelor’s (2015–2019) degrees from the same university and Yanshan University, respectively. πŸ§ͺ Her research focuses on functional porous nanomaterials and radionuclide separation. 🌍 She has authored 17 papers in prestigious journals like Nat. Commun., Adv. Sci., and Langmuir. πŸ“š Liu actively participates in global conferences, including ACS Spring 2024. Her groundbreaking work on MOFs, COFs, and electrocatalysis is shaping innovations in energy and environmental applications. ⚑🌱

Publication Profile

Scopus

Education

Ms. Liu Xiaolu πŸŽ“ began her academic journey at Yanshan University, earning her Bachelor’s degree between September 2015 and June 2019 πŸ“š. Driven by a passion for further knowledge, she pursued her Master’s degree at North China Electric Power University from September 2019 to June 2022 ⚑. Continuing her academic excellence, she is currently a dedicated Doctoral candidate at the same university since September 2022 πŸ“. Her commitment to education and research showcases her strong determination and academic growth 🌟.

Research Achievement

Ms. Liu Xiaolu is a prolific researcher with 17 first-author publications in prestigious journals like Nature Communications 🌍, Advanced Science πŸš€, Langmuir 🌊, and Innovation πŸ’‘. Her representative works include papers in Nat. Commun. (2024, 15, 7736), Adv. Sci. (2022, 9, 2201735; 2023, 10, 2303536), J. Mater. Chem. A (2021, 9, 21051-6), and Crit. Rev. Env. Sci. Tec. (2021, 51, 751-790; 2023, 53, 1289-1309) πŸ“š. She has significantly contributed to Environmental Pollution 🌿, Sci. China. Chem. πŸ§ͺ, and EEH πŸ”¬. Her research showcases innovation and scientific excellence, reflecting her dedication to impactful discoveries. ✨

Academic Conference

Ms. Liu Xiaolu has actively participated in several prestigious conferences, showcasing her expertise in environmental and radiochemistry. 🌍 She attended the 1st Conference of Carbon Research in Guangzhou, China (March 24–26, 2023) and the 12th National Conference on Environmental Chemistry in Wuhan, China (November 17–21, 2023). πŸ§ͺ Additionally, she contributed to the Conference of National Radiochemistry Development Strategy and Academic Exchange in Nanchang (October 20–23, 2023). βš›οΈ Expanding her global reach, Ms. Liu joined the ACS Spring 2024 Meeting held online from New Orleans (March 17–21, 2024), reflecting her dedication to scientific growth and collaboration. 🌐

Research Interest

Ms. Liu Xiaolu specializes in the design and synthesis of functional porous nanomaterials πŸ§ͺ, focusing on creating advanced materials with unique structures and properties. Her research also delves into the separation and extraction of radionuclides βš›οΈ, aiming to enhance techniques for environmental protection and nuclear waste management 🌍. By combining innovative nanotechnology with efficient separation methods, she contributes to sustainable solutions in energy and environmental sciences πŸ’‘. Her work bridges the gap between material science and nuclear chemistry, paving the way for safer and cleaner technologies in the future πŸš€.

Research Focus

Ms. Liu Xiaolu’s research focuses on advanced materials like Metal-Organic Frameworks (MOFs), Covalent Organic Frameworks (COFs), and their derivatives for energy and environmental applications 🌱⚑. Her work explores innovative approaches to electrocatalytic COβ‚‚ reduction, enhancing photocatalytic performance, and piezocatalytic techniques for pollutant degradation πŸŒπŸ”¬. By modulating the coordination environment of atomically dispersed metals, she aims to improve efficiency in low-overpotential and industrial-scale processes βš‘βš—οΈ. Her research contributes to sustainable solutions for clean energy and environmental remediation, addressing global challenges in pollution control and renewable energy 🌊🌞.

Publication Top Notes

Emerging MOFs, COFs, and their derivatives for energy and environmental applications

Modulating the Coordination Environment of Atomically Dispersed Nickel for Efficient Electrocatalytic CO2Β Reduction at Low Overpotentials and Industrial Current Densities

Rational Design of 3D Space Connected Donor–Acceptor System in Covalent Organic Frameworks for Enhanced Photocatalytic Performance

Piezocatalytic techniques and materials for degradation of organic pollutants from aqueous solution

Conclusion

Ms. Liu Xiaolu is a distinguished researcher known for her outstanding publication record πŸ“š, innovative research in environmental and energy applications 🌍⚑, and active participation in international conferences 🌐🎀. Her groundbreaking work contributes significantly to sustainable solutions, addressing global environmental challenges with creativity and expertise πŸŒ±πŸ”¬. Ms. Liu’s dedication to advancing knowledge and her impactful presence in the research community make her a highly suitable candidate for the Best Researcher Award πŸ†πŸŽ“. Her passion for scientific excellence and commitment to global sustainability continue to inspire peers and future researchers alike πŸŒŸπŸ’‘.

 

 

 

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Prof Ioannis Chatzilygeroudis, University of Patras, Greece

Prof. Emeritus at the University of Patras, Greece, with a rich educational background in Mechanical and Electrical Engineering (NTUA), Theology (University of Athens), MSc in Information Technology, and a PhD in Artificial Intelligence (University of Nottingham). Fluent in Greek and English, he specializes in AI, KR&R, knowledge-based systems, theorem proving, intelligent tutoring, e-learning, machine learning, natural language generation, sentiment analysis, semantic web, and educational robotics. His prolific research includes a PhD thesis, 18 edited volumes, 21 book chapters, 46 journal papers, 115 conference papers, 8 national conference papers, and 14 workshop papers. πŸ“šπŸ€–πŸ’»πŸŒ

Publication profile

Orcid

Education

πŸ“š From September 1968 to June 1974, completed secondary education, earning a Certificate of High School Graduation in Science. πŸŽ“ Pursued a Diploma in Mechanical and Electrical Engineering with a specialization in Electronics at the National Technical University of Athens from October 1974 to July 1979. πŸ“œ From February to June 1983, obtained a Certificate of Educational Studies from PATES of SELETE, Greece. πŸ“– Achieved a Bachelor in Theology from the University of Athens, completed between October 1979 and December 1987. πŸŽ“ Earned an MSc in Information Technology from the University of Nottingham in 1989, followed by a PhD in Artificial Intelligence from the same university in 1992. 🧠 Thesis: “Integrating Logic and Objects for Knowledge Representation and Reasoning.”

Experience

πŸ“˜ From Feb. 1982 to June 1982, I served as a part-time lab professor at PALMER Higher School of Electronics in Greece, teaching Electronics Lab. My full-time teaching journey began at TEI of Athens (1982-84), where I covered courses like Electrotechnics and Circuit Theory. My secondary education tenure (1984-92) focused on electrical engineering subjects. I then transitioned to higher education, teaching at TEI of Kozani and Chalkida, and later at the University of Nottingham (1990-92). From 1995-2006, I was a senior researcher and lecturer at the University of Patras, ultimately becoming a professor (2009-2023). Now, I am a Professor Emeritus. πŸŽ“πŸ”¬

Projects

From June 1993 to November 1995, I managed the CTI team for the DELTA-CIME project, developing a knowledge-based production control system. I led several initiatives, including the MEDFORM project for multimedia education and the national project for educational software in chemistry. As a senior researcher, I contributed to intelligent systems for tele-education and hybrid knowledge representation. I led multiple European projects like MENUET, AVARES, and TESLA, focusing on innovative education through virtual reality. My work aims to enhance learning experiences across disciplines, involving collaboration with various international partners. πŸŒπŸ“šπŸ’»πŸŽ“

Research focus

Ioannis Hatzilygeroudis specializes in artificial intelligence and its applications in various domains, particularly in agriculture and healthcare. His research includes intelligent systems for diagnosing farmed fish diseases, employing deep learning techniques for image analysis, and exploring natural language processing methods. He has contributed significantly to the development of expert systems and reinforcement learning approaches to improve disease prediction in aquaculture. Additionally, his work in sentiment analysis and e-learning demonstrates a commitment to advancing educational technologies and user experience. Hatzilygeroudis’s interdisciplinary approach combines computer science with practical applications, making significant strides in health and environmental management. πŸŒ±πŸŸπŸ’»πŸ“Š

Publication focus

Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish Diseases

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation

Evaluating Deep Learning Techniques for Natural Language Inference