Jing Li | Deep Learning for Cybersecurity | Best Paper Award

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Dr. Jing Li | Deep Learning for Cybersecurity | Best Paper Award

 Researcher at University Technology Malaysia, China

Summary:

Dr. Jing Li is a dedicated computer scientist currently pursuing a PhD in Computer Science at University Technology Malaysia. His research interests encompass networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data. He has achieved academic excellence, being awarded the International Doctoral Scholarship (IDF) for the periods 2022-2023 and 2023-2024. Dr. Li holds a Master’s degree in Information Management from Zhejiang University, where he was recognized with the First Prize for his entrance essay submission and conducted research on “Hangzhou Wireless City Construction Planning.” He completed his Bachelor’s degree in Computer Science and Technology at China Jiliang University, distinguished as a four-time scholarship recipient.

Profile:

Education:

Dr. Jing Li is currently pursuing a PhD in Computer Science at University Technology Malaysia, focusing on networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data. He has been awarded the prestigious International Doctoral Scholarship (IDF) for the academic years 2022-2023 and 2023-2024. Prior to this, he earned a Master’s degree in Information Management from Zhejiang University, where he received the First Prize for his entrance essay submission and completed a thesis titled “Research on Hangzhou Wireless City Construction Planning.” Dr. Li also holds a Bachelor’s degree in Computer Science and Technology from China Jiliang University, where he was a four-time scholarship winner.

Professional Experience:

Dr. Jing Li brings a wealth of professional experience in the technology sector, having held significant roles across various organizations. He started his career as a Software Engineer at UTStarcom (China) Co., Ltd., where he gained foundational experience from June 2003 to June 2006. He then progressed to roles with increasing responsibility, serving as a Software Engineer/Product Architect at Aerohive Networks, Inc. from June 2006 to September 2014, focusing on networking solutions. Subsequently, Dr. Li joined ArcSoft (Hangzhou) Technology Co., Ltd. as a Product Architect from June 2014 to June 2018, where he contributed to product development and architecture. His entrepreneurial spirit led him to co-found Hangzhou Zijie Technology Co., Ltd., where he served as Technical Co-founder from June 2018 to 2021, involved in the strategic and technical leadership of the company. Throughout his career, Dr. Li has demonstrated expertise in Python, C++, and C, alongside a profound understanding of networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data applications.

Research Interests:

Dr. Jing Li’s research interests are centered around several key areas in computer science and technology. His primary focus lies in networking, where he explores advancements in network protocols, architectures, and performance optimization. Dr. Li is also deeply engaged in the Internet of Things (IoT), investigating methods to enhance IoT device connectivity, security, and data management. His expertise extends to machine learning and deep learning applications, particularly in developing intelligent algorithms for data analysis and decision-making processes. Additionally, Dr. Li is passionate about cybersecurity, researching techniques to safeguard networks and IoT ecosystems from emerging threats. Finally, he explores big data analytics, aiming to develop scalable and efficient algorithms for processing and extracting valuable insights from large datasets.

Skills:

Dr. Jing Li is equipped with a comprehensive skill set that spans diverse areas within computer science and technology. His expertise includes advanced proficiency in networking, encompassing thorough knowledge of network protocols, architectures, and optimization strategies. Dr. Li demonstrates a deep understanding of Internet of Things (IoT), where he excels in enhancing device connectivity, ensuring robust security measures, and optimizing data management systems. His proficiency extends to machine learning and deep learning, where he develops and implements sophisticated algorithms for data analysis and decision-making tasks. Additionally, Dr. Li is adept in cybersecurity practices, employing effective techniques to safeguard networks and IoT environments from evolving threats. His skills in big data analytics enable him to design and implement scalable algorithms that efficiently process and derive valuable insights from large datasets. With fluency in programming languages such as Python, C++, and C, Dr. Li leverages his technical acumen to drive innovation and contribute significantly to research and development initiatives in his field.

Peer Reviewer in Journals:

Dr. Jing Li has served as a peer reviewer for prestigious journals in the fields of computer and electrical engineering. His expertise as a reviewer extends to journals such as Expert Systems With Applications, Knowledge-Based Systems, Journal of Ambient Intelligence and Humanized Computing, Journal on Internet of Things, International Journal of Electrical and Computer Engineering, International Journal on Data Science and Technology, and Journal of Applied Engineering and Technological Science. Through his role, Dr. Li contributes to maintaining the quality and integrity of research in these specialized domains, ensuring rigorous evaluation and feedback for scholarly publications.

Awards & Honors:

Dr. Jing Li has garnered significant recognition for his contributions in computer science and technology. He has served as a peer reviewer for esteemed journals including Expert Systems With Applications, Knowledge-Based Systems, and Journal of Ambient Intelligence and Humanized Computing, among others. In 2023, Dr. Li was appointed as a Professor Assistant for AI-SLR courses at UTM, showcasing his expertise and leadership in the field. His commitment to academic excellence is further underscored by his involvement in committees such as the EGE Committee Technical Team and PARS2023/2024 Committee Publication and Technical Team. In 2024, Dr. Li was honored with the Asian Youth Leaders Scholarship Award, reflecting his outstanding achievements and dedication to advancing research and education in computer and electrical engineering.

Publications:

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

  • Authors: J. Li, M.S. Othman, H. Chen, L.M. Yusuf
  • Journal: Journal of Big Data
  • Year: 2024
  • Volume and Issue: 11(1)
  • Pages: 36
  • Citations: 3

Enhancing IoT security: A comparative study of feature reduction techniques for intrusion detection system

  • Authors: J. Li, H. Chen, M.O. Shahizan, L.M. Yusuf
  • Journal: Intelligent Systems with Applications
  • Year: 2024
  • Volume and Issue: 23
  • Article Number: 200407
  • Citations: 0

A critical review of feature selection methods for machine learning in IoT security

  • Authors: J. Li, M.S. Othman, H. Chen, L.M. Yusuf
  • Journal: International Journal of Communication Networks and Distributed Systems
  • Year: 2024
  • Volume and Issue: 30(3)
  • Pages: 264-312
  • Citations: 0

Takunda Shabani | Geography | Best Researcher Award

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Mr. Takunda Shabani | Geography | Best Researcher Award

 Takunda Shabani at Midlands State University, Gweru, Zimbabwe

Summary:

Mr. Takunda Shabani is an environmental professional with expertise in waste management, environmental pollution and control, sustainable environmental management and development, environmental research and education, natural resource conservation, and occupational safety and health management. He is currently pursuing a Master of Philosophy in Geography, Environmental Sustainability, and Resilience Building at Midlands State University, with a thesis focused on developing an integrated framework for sustainable solid waste management at rural hospitals in Chirumanzu District, Zimbabwe. Mr. Shabani also holds a Bachelor of Science Honours Degree in Geography and Environmental Studies from Midlands State University, graduating with a 2:1 degree class. He has practical experience as an Environmental Health Technician at ST Theresa’s Hospital in Zimbabwe and currently serves as a Graduate Teaching Assistant in the Department of Geography, Environmental Sustainability, and Resilience Building at Midlands State University.

Profile:

Education:

Mr. Takunda Shabani is currently pursuing a Master of Philosophy in Geography, Environmental Sustainability, and Resilience Building at Midlands State University. His thesis, titled “Developing an Integrated Framework for Sustainable Solid Waste Management at Rural Hospitals in Chirumanzu District, Zimbabwe,” reflects his dedication to addressing environmental challenges. He holds a Bachelor of Science Honours Degree in Geography and Environmental Studies from Midlands State University, where he graduated with a 2:1 degree class.

Professional Experience:

Mr. Takunda Shabani has diverse professional experience in the field of environmental management. He worked as an Environmental Health Technician at ST Theresa’s Hospital in Zimbabwe from January to December 2018, where he gained hands-on experience in managing environmental health issues. Since April 2022, he has been serving as a Graduate Teaching Assistant in the Department of Geography, Environmental Sustainability, and Resilience Building at Midlands State University. In this role, he contributes to academic instruction and supports research initiatives, leveraging his expertise in waste management, environmental pollution and control, sustainable environmental management and development, environmental research and education, natural resource conservation, and occupational safety and health management.

Research Interests:

Mr. Takunda Shabani’s research interests are centered on sustainable environmental management and development. He is particularly focused on waste management, with a specific interest in creating integrated frameworks for sustainable solid waste management in rural hospital settings, as reflected in his current MPhil thesis work. Additionally, he is passionate about environmental pollution and control, exploring methods to mitigate the impact of pollutants on natural ecosystems. Mr. Shabani is also dedicated to advancing environmental research and education, aiming to contribute to the knowledge base and foster environmental awareness. His interests extend to natural resource conservation and occupational safety and health management, where he seeks to develop strategies that promote both environmental sustainability and the well-being of communities.

Awards & Honors:

Mr. Takunda Shabani has demonstrated exceptional dedication and achievement in his field, earning recognition and accolades throughout his academic and professional journey. He was awarded a 2:1 degree class for his Bachelor of Science Honours Degree in Geography and Environmental Studies from Midlands State University, showcasing his academic excellence. Additionally, his commitment to environmental sustainability and management has been reflected in his selection for advanced studies and research roles, including his current pursuit of a Master of Philosophy in Geography, Environmental Sustainability, and Resilience Building at Midlands State University. His ongoing contributions as a Graduate Teaching Assistant further underscore his commitment to academic and professional development in the field of environmental management.

Publications:

Ramesh GP | Cryptography for Cloud Computing | Best Researcher Award

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Prof. Dr. Ramesh GP | Cryptography for Cloud Computing | Best Researcher Award

Professor Doctorate at St.Peters institute of higher education and Research, India

Summary:

Prof. Dr. Ramesh GP is a distinguished professor and researcher in the field of Electrical and Electronics Engineering, currently serving as the Professor and Head of ECE at St. Peters Institute of Higher Education and Research, Chennai. With a Ph.D. in Information & Communication Engineering from Anna University and a Ph.D. in Electrical & Electronics Engineering from CMJ University, his research has significantly contributed to advancements in microstrip antennas, sensor technology, and DC/DC converters. He has over two decades of academic and research experience and has received numerous awards for his contributions to education and research. Prof. Dr. Ramesh is an active member of professional organizations like IEI and IEEE, reflecting his commitment to the engineering community.

Profile:

Education:

  • Ph.D. in Information & Communication Engineering
    • University: Anna University, Chennai
    • Guide: Dr. N. Mohan Kumar
    • Year of Award: 2019
  • Ph.D. in Electrical & Electronics Engineering
    • University: CMJ University, Meghalaya
    • Guide: Dr. P. Sukumar
    • Year of Award: 2012
  • Master of Engineering in Applied Electronics
    • University: Bharathiar University, Coimbatore
    • College: Coimbatore Institute of Technology, Coimbatore
    • Percentage: 72%
    • Class: First Class
    • Year of Passing: 1998
  • Bachelor of Technology in Electrical & Electronics Engineering
    • University: S.V. University, Tirupati
    • College: K.S.R.M College of Engineering, Kadapa
    • Percentage: 63%
    • Class: First Class
    • Year of Passing: 1996

Professional Experience:

Prof. Dr. Ramesh GP has over two decades of academic and professional experience. He is currently serving as the Professor and Head of the Electronics and Communication Engineering (ECE) department at St. Peters Institute of Higher Education and Research in Chennai, a position he has held since December 19, 2012. Prior to this, he was the Associate Professor and Head of Electrical and Electronics Engineering (EEE) at SRM University, Ramapuram, Chennai, from June 4, 2010, to November 20, 2012. He also worked as an Assistant Professor and Head of EEE at Loyola Institute of Technology, Chennai, from May 14, 2007, to April 30, 2010. His international experience includes serving as an Assistant Professor at INTI College, Sarawak, Malaysia, from September 24, 2003, to April 30, 2007. Earlier in his career, he held positions as an Assistant Professor at Sree Sastha Institute of Engineering and Technology from June 10, 2002, to September 16, 2003, and at St. Peters Engineering College, Chennai, from November 18, 1998, to May 31, 2002.

Research Interests:

Prof. Dr. Ramesh GP specializes in developing advanced engineering systems with a focus on microstrip antennas, wireless communication technologies, energy harvesting, and IoT applications. His work includes designing efficient routing techniques for wireless sensor networks and secure video transmission methods for IoT devices.

Awards & Recognitions:

  • TISLA Award (Best Student Advisor)
    • Awarded by: Institution of Engineers India, Tiruvallur Local Center
    • Year: 2019
  • Best Paper in National Centenary Technical Conference ICET’19 (First Place)
    • Awarded by: Institution of Engineers (India), Tamil Nadu State Center
    • Year: 2019
  • Best Researcher Award (High Cumulative Impact Factor 11.13)
    • Awarded by: SPIHER
    • Year: 2022
  • Teaching Excellence Award
    • Awarded by: The International Association of Lions Clubs
    • Year: 2022
  • Best Institute Industry Coordinator
    • Awarded by: Knowledge Exchange
    • Year: 2022
  • Excellence in Education
    • Awarded by: Education Tamil Monthly
    • Year: 2022

Publications:

 

 

Benoie Mathew | Smart City | Best Researcher Award

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Mr. Benoie Mathew | Smart City | Best Researcher Award

Benoie Mathew at University of Petroleum & Energy Studies, India 

Summary:

Mr. Benoie Mathew is a seasoned project management professional with extensive experience in the energy sector, particularly with Petroleum Development Oman – Shell. He holds advanced degrees and certifications in management, business administration, and engineering. Currently serving as General Manager at Oman Metal Industries / ENFAB Intl, Mr. Mathew is committed to driving innovation and excellence in project delivery and operations. He has been recognized for his contributions to sustainable project development and has presented at various international conferences.

Profile:

Education:

Mr. Benoie Mathew is currently a Ph.D. researcher (part-time) in Management at the University of Petroleum and Energy Studies, India (since 2022). He holds a Master’s in Business Administration with Commendation from the University of Bedfordshire, UK (2021). He completed an Executive Programme in Financial Risk & Investment Management from the Indian Institute of Management – Calcutta (IIM-C) in 2012 and earned a B.Tech. in Electrical & Electronics Engineering from the University of Calicut, India (1999).

Professional Experience:

As of February 2024, Mr. Mathew serves as the General Manager at Oman Metal Industries / ENFAB Intl, where he oversees company operations, ensures the delivery of innovative technology solutions, and drives business expansion. His responsibilities span leadership and management, operational oversight, client relations, financial management, strategic planning, technology and innovation, HSE & quality assurance, human resources, sales and marketing, and risk management.

From March 2022 to January 2024, he worked as the Portfolio Project Manager for North Rumaila – West Qurna, where he strategized gas fields portfolio projects, managed project lifecycles, and ensured compliance with governance and project execution standards. He has extensive experience in leading complex projects, utilizing tools like Primavera and SAP Finance, and managing relationships with contractors and stakeholders.

Previously, Mr. Mathew spent over a decade with Petroleum Development Oman – Shell (August 2009 to November 2021) as the Front-end Development Manager & Project Delivery Manager. He collaborated with internal stakeholders and shareholders, managed contracts, delivered technical assurance, and implemented the world’s first economically viable wetland produced water treatment facility. He led significant projects such as the Marmul Polymer phase 3 and Nimr Reed Bed Project.

Research Interests:

Mr. Mathew’s research interests include project management, financial risk management, and innovative technology solutions in the energy sector. He is dedicated to advancing methodologies for project delivery, strategic planning, and operational efficiency.

Awards & Recognitions:

  • Oil South Engineering Silver Award (2021)
  • Oil South Director Award (2016)
  • Engineering & Operations Director Award (2015)
  • Gold winner of PDO’s Chairman’s Award for Excellence (2013)
  • International recognitions for the Nimr Reed Bed Project such as the Oman Green Awards (2013) and MEED Quality Awards (2012).

Certifications:

  • Shell Certified SPA-1 (GPES Level 1A, 2015)
  • Technical Authority (TA-2) for Project Management (PDO, 2014)
  • Contract Holder Certification Scheme (PDO, 2010)
  • Project Management Professional (PMP, PMI, USA, 2007)

Conference Presenter & Discussion Panel:

Mr. Mathew has presented at numerous conferences, including:

  • SPE Middle East HSSE Development Conference & Exhibition (2014, Qatar)
  • IQPC’s Water Management in Oil & Gas Summit (2014, UAE)
  • Project Management Institute – Arabian Gulf Chapter (PMI-AGC, 2013, Oman)
  • SPE Applied Technology Workshop (2012, Kuwait)

 

Publications:

 

Bronwin Patrickson | Health | Best Researcher Award

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Dr. Bronwin Patrickson | Health | Best Researcher Award

Doctorate at Flinders University, Australia

Summary:

Dr. Bronwin Patrickson is a distinguished researcher and educator in media and communications. She holds a PhD from Macquarie University, where her thesis focused on design frameworks for playful, interpersonal engagement in mediated environments. Dr. Patrickson also has a Graduate Diploma in Communication from the University of Technology, Sydney, and completed a three-year cross-media production traineeship at the Australian Broadcasting Corporation. Currently, she is a Senior Research Fellow in Translational Digital Health at Flinders University, where she leads research projects and supervises HDR students. She has secured over $3 million in funding from major agencies such as MRFF, HTSA, and ARC for projects enhancing digital health solutions. Her accolades include conference sponsorships from the Digital Health CRC, the IAMCR 2020 Climate Communication Award, and a Fellowship from the Higher Education Academy. With over a decade of teaching experience, Dr. Patrickson has significantly impacted the field of media and communications through her innovative courses and research contributions.

Profile:

Education:

Dr. Bronwin Patrickson earned her PhD in Media and Communications from Macquarie University, where her thesis, titled “Plai and the Discovery Process,” explored design frameworks for playful, interpersonal engagement in mediated environments. She also holds a Graduate Diploma in Communication from the University of Technology, Sydney, where she was recognized as the top student. Additionally, Dr. Patrickson completed a three-year cross-media production traineeship at the Australian Broadcasting Corporation, where she produced documentaries and features, further enhancing her expertise in media and communication.

Professional Experience:

Dr. Bronwin Patrickson has a robust professional background in research leadership and academia. Currently, she serves as a Senior Research Fellow in Translational Digital Health at Flinders University, where she leads significant research projects and supervises HDR students. Previously, she held positions such as Research Fellow in Impact and Evaluation at the University of South Wales, Creative Economy Engagement Fellow in Digital Design at the University of Leeds, and Research Assistant at Macquarie University. Dr. Patrickson has secured over $3 million in funding from major agencies like MRFF, HTSA, and ARC, contributing to the advancement of digital health solutions. Additionally, she has over a decade of teaching experience, having developed and delivered courses at institutions including the University of Leeds, University of Brighton, Macquarie University, University of Western Sydney, and the University of Sydney. Her professional journey is marked by a strong commitment to collaborative, cross-sectoral, and cross-cultural research projects, significantly impacting the fields of media and communications and digital health.

Research Interests:

Dr. Bronwin Patrickson’s research interests are deeply rooted in the intersection of digital health, media, and communications. She focuses on design frameworks for playful, interpersonal engagement in mediated environments, exploring how digital innovation can enhance user experiences and engagement. Her work in translational digital health at Flinders University involves developing and evaluating AI-enhanced health solutions, such as medicine review systems and waitlist decision support tools for rural health. Dr. Patrickson is also interested in eco-pedagogy and digital nature connections, as evidenced by her co-editorship of a special issue in the Digital Culture and Education journal. Her interdisciplinary approach bridges the gap between technology and human interaction, aiming to create more inclusive and effective digital health interventions.

Skills:

Dr. Bronwin Patrickson possesses a diverse set of research skills that span several key areas. She is proficient in designing and leading collaborative research projects, particularly those that intersect digital health, media, and communications. Her expertise includes the development and evaluation of AI-enhanced health solutions, such as medicine review systems and decision support tools. Dr. Patrickson has strong qualitative and quantitative research skills, enabling her to analyze complex data sets and derive meaningful insights. Additionally, she has significant experience in securing and managing substantial research funding, having successfully obtained over $3 million from major agencies like MRFF, HTSA, and ARC. Her editorial skills are highlighted by her role as co-editor of a special issue on eco-pedagogy and digital nature connections for the Digital Culture and Education journal. Dr. Patrickson is adept at supervising HDR students and mentoring research assistants, demonstrating her commitment to fostering the next generation of researchers. Her interdisciplinary approach and ability to bridge technology and human interaction make her a valuable asset in the fields of digital health and media communications.

Awards and Honors:

Dr. Bronwin Patrickson has garnered several prestigious awards and honors throughout her career, recognizing her significant contributions to research and education. She has been awarded conference attendance sponsorships by the Digital Health CRC, underscoring her recognition in the field of digital health. In 2020, Dr. Patrickson received the IAMCR 2020 Climate Communication Award, highlighting her commitment to advancing climate communication through media and technology. Her scholarly achievements include being named a Fellow of the Higher Education Academy by the University of Leeds, UK, in recognition of her outstanding contributions to teaching and learning enhancement. Additionally, she has received international research travel grants and scholarships, including a PhD Research Scholarship from Macquarie University, Australia. Dr. Patrickson’s accolades underscore her dedication to innovation in digital health, media, and communications, as well as her leadership in academic and research spheres.

 

Publications:

 

Evolving Adult ADHD Care: Preparatory Evaluation of a Prototype Digital Service Model Innovation for ADHD Care

  • Authors: Bronwin Patrickson, Lida Shams, John Fouyaxis, Jörg Strobel, Klaus Oliver Schubert, Mike Musker, Niranjan Bidargaddi
  • Journal: International Journal of Environmental Research and Public Health
  • Date: 2024-05-01
  • DOI: 10.3390/ijerph21050582

In-Depth Co-Design of Mental Health Monitoring Technologies by People with Lived Experience

  • Authors: Bronwin Patrickson, Mike Musker, Dan Thorpe, Yasmin van Kasteren, Niranjan Bidargaddi
  • Journal: Future Internet
  • Date: 2023-05-25
  • DOI: 10.3390/fi15060191

24 Hours of Biodiversity in Adelaide’s South Eastern Parklands

  • Author: Bronwin Patrickson
  • Date: 2023-01-30
  • Source: Flinders University PURE

Behind the Scenes with USW and Wallace & Gromit

  • Author: Bronwin Patrickson
  • Year: 2022
  • Source: Flinders University PURE

Consumer and Carer Views on Digital Mental Health Monitoring Technologies and Related Care Processes: Results from a Co-Design Consultation

  • Authors: Bronwin Patrickson, Michael Musker, Dan Thorpe, Niranjan Bidargaddi
  • Conference: 33rd Australasian Conference on Information Systems (ACIS), Melbourne, Australia
  • Date: 2022-07-12
  • Source: Flinders University PURE

 

Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

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Assist Prof Dr. Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Associate Professor at Islamic Azad University, Iran

Summary:

Dr. Mokhtar Mohammadi Ghanatghestani is an accomplished academic specializing in Computer Engineering with a focus on VLSI and computer network security. He earned his PhD and Master of Science degrees from Islamic Azad University, Science and Research Branch, Tehran, Iran, and his Bachelor of Science from Shahid Bahonar University, Kerman, Iran. With over 20 publications in prestigious journals and the successful supervision of more than 30 master’s and 4 PhD students, Dr. Ghanatghestani has made significant contributions to his field. His research interests include IoT, nanotechnology, and approximate computing. He also serves as the Head of the University Technology Incubator and is an active faculty member.

Profile:

Education:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani completed his PhD in Computer Engineering with a specialization in Computer Architecture at Islamic Azad University, Science and Research Branch, Tehran, Iran, in 2014, under the supervision of Dr. Hossein Pedram. He earned his Master of Science degree in Computer Engineering from the same university in 2010, with Dr. Keivan Navi as his thesis supervisor. Dr. Ghanatghestani obtained his Bachelor of Science degree in Computer Engineering, focusing on Hardware, from Shahid Bahonar University, Kerman, Iran, in 2008, where he was guided by Dr. Fahimeh Yazdanpenah.

Professional Experience:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has a robust professional background in academia and research. As a faculty member, he has supervised over 30 master’s students and 4 PhD candidates, contributing to the publication of more than 20 articles in reputable scientific journals. He has completed significant industrial projects and is actively involved in ongoing research initiatives. Dr. Ghanatghestani has developed new memory and arithmetic circuits using nanotechnology, improving power consumption and delay. In the realm of IoT, he has proposed methods to enhance reliability and security. He also serves as the Head of the University Technology Incubator, fostering innovation and collaboration.

Research Interests:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani’s research interests span a wide array of topics within Computer Engineering. He is deeply engaged in the fields of Internet of Things (IoT), computer network security, and mobile ad-hoc networks. His work in nanotechnology and Very-Large-Scale Integration (VLSI) focuses on developing innovative memory and arithmetic circuits that improve power consumption and delay. Additionally, Dr. Ghanatghestani explores Multi-Value Logic (MVL) and approximate computing, contributing to advancements in computational efficiency and performance. His comprehensive research efforts are aimed at enhancing the reliability and security of modern computing systems.

Skills:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.

Awards and Honors:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has garnered recognition for his outstanding contributions to the field of Computer Engineering. His dedication to research and innovation has been acknowledged through various awards and honors, underscoring his impact on advancing technologies in VLSI design, nanotechnology applications, and computer network security. Dr. Ghanatghestani’s accolades reflect his leadership in academia and his commitment to excellence in teaching and mentorship. As a respected figure in his field, he continues to receive acclaim for his significant achievements, which have not only enriched scholarly discourse but also influenced practical advancements in computing and technology.

Publications:

 

 

Christian Delgado | Cybersecurity | Excellence in Research

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Mr. Christian Delgado | Cybersecurity | Excellence in Research

Researcher at University of Vigo, Spain

Summary:

Mr. Christian Delgado is an accomplished professional with over 18 years of experience in information systems management and education. Currently serving as Co-responsible for the Department of Information Systems at IESIDE, he oversees campus virtual platforms, ERP systems, and web infrastructures. Christian is also an Associate Professor at UNIR Universidad Internacional de La Rioja, specializing in blockchain technology. His expertise spans cybersecurity, educational technology, and ICT business development.

Profile:

Education:

Mr. Christian Delgado is currently pursuing his doctoral studies in Telecommunication Engineering with a specialization in Blockchain and Cybersecurity at the Universidade de Vigo. He holds a Master’s degree in Computer Security from UNIR Universidad Internacional de La Rioja, earned in 2018. His undergraduate education includes a degree in Telecommunication Engineering from the Universidade de Vigo. Additionally, he completed advanced German language studies at Universität Wien and received specialized training in creating ICT businesses from the Escuela de Organización Industrial in 2006

Professional Experience:

Mr. Christian Delgado brings over 18 years of expertise in information systems management and educational leadership. Currently, he holds the position of Co-responsible for the Department of Information Systems at IESIDE, where he manages campus virtual platforms, ERP systems, and web infrastructures across their campuses in A Coruña and Vigo. Since May 2006, he has been an Associate Professor at UNIR Universidad Internacional de La Rioja, specializing in blockchain technology. Christian’s career also includes significant roles such as Director of IT at Dentcard GmbH in Germany, focusing on implementing information systems and leveraging ICT for operational efficiency. Prior to this, he served as an Engineer at Artel Ingenieros, where he oversaw projects involving network interconnection and video conferencing systems. His diverse experience underscores his proficiency in cybersecurity, educational technology, and ICT business development.

Research Interests:

Mr. Christian Delgado’s research interests primarily revolve around the intersection of information systems, cybersecurity, and educational technology. His focus includes exploring the applications of blockchain technology in enhancing data security and transparency within educational and organizational contexts. He is also interested in the integration of ICT (Information and Communication Technology) into educational infrastructures to improve learning outcomes and operational efficiency. Christian’s academic pursuits aim to contribute insights into the evolving landscapes of cybersecurity and educational technology, particularly in fostering innovative approaches to data protection and digital learning environments.

Skills:

Mr. Christian Delgado possesses a comprehensive skill set encompassing over 18 years of experience in information systems management, educational leadership, and cybersecurity. He excels in overseeing campus virtual platforms, ERP systems, and web infrastructures as Co-responsible for the Department of Information Systems at IESIDE. With a robust background as an Associate Professor at UNIR Universidad Internacional de La Rioja, he specializes in blockchain technology, leveraging his expertise to enhance data security and transparency. Christian’s proficiency extends to ICT business development, where he has demonstrated strategic implementation of information systems at Dentcard GmbH in Germany. His skills underscore a deep commitment to advancing educational technology and cybersecurity frameworks, contributing to innovative solutions in digital learning and organizational efficiency.

 

Publications:

Blockchain applications in education: A systematic literature review

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 11
  • Issue: 24
  • Article Number: 11811
  • Year: 2021
  • Citations: 57

Application of blockchain in education: GDPR-compliant and scalable certification and verification of academic information

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 11
  • Issue: 10
  • Article Number: 4537
  • Year: 2021
  • Citations: 27

Blockchain for the scalable issuance and verification of private academic information

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Conference: 2021 International Conference on Advanced Learning Technologies (ICALT)
  • Pages: 436-438
  • Year: 2021
  • Citations: 4

NFTs for the issuance and validation of academic information that complies with the GDPR

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 14
  • Issue: 2
  • Article Number: 706
  • Year: 2024

Varietal Susceptibility and Assessment of Losses Caused by Pulse Beetle Callosobruchus Chinensis (L.) in Green Gram Under Laboratory Conditions

  • Authors: AS Meena, RS Meena, MA Laichattiwar
  • Journal: Journal of Pure and Applied Microbiology
  • Volume: 11
  • Issue: 1
  • Pages: 259-263
  • Year: 2017

 

Zexiao Liang | Machine Learning | Best Researcher Award

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Dr. Zexiao Liang | Machine Learning | Best Researcher Award

Doctorate at School of Integrated Circuits, Guangdong University of Technology, China

Summary:

Dr. Zexiao Liang is a postdoctoral assistant researcher at the School of Integrated Circuits, Guangdong University of Technology. He completed his Bachelor’s, Master’s, and Ph.D. degrees in Automation from Guangdong University of Technology between 2012 and 2022. Dr. Liang has extensive experience in machine learning, with a focus on multi-information fusion algorithms and domain-specific applications. He has published multiple SCI papers as the lead author and holds several invention patents. Dr. Liang is also skilled in guiding students, contributing to the publication of additional SCI papers and conference papers.

Profile:

Education:

Dr. Zexiao Liang completed his Bachelor’s degree in Automation from Guangdong University of Technology in 2016. He continued his studies at the same institution, earning a Master’s degree in Automation in 2019. Dr. Liang then pursued a Ph.D. in Automation at Guangdong University of Technology, which he completed in 2022. Throughout his academic journey, Dr. Liang consistently demonstrated exceptional academic performance, securing top ranks in his major and achieving multiple academic milestones, including the publication of several papers and the acquisition of invention patents.

Professional Experience:

Dr. Zexiao Liang has accumulated valuable professional experience as a postdoctoral assistant researcher at the School of Integrated Circuits, Guangdong University of Technology since July 2022. His work primarily focuses on the research and design of machine learning algorithms, particularly in the integration of multi-information fusion and clustering analysis. Dr. Liang has developed algorithms to address specific domain challenges, such as predicting the effects of multi-drug interactions and conducting reliability analyses for low-quality chip images. His role also involves guiding students, which has led to the publication of numerous scientific papers and contributions to various research projects.

Research Interests:

Dr. Zexiao Liang’s research interests lie in the field of multi-information fusion machine learning algorithms, including the integration of multiple transformation domain information and the development of multi-modal, multi-view learning techniques. He is particularly interested in clustering analysis and the design and application of machine learning algorithms to address domain-specific challenges. His work encompasses algorithms for predicting the effects of multi-drug interactions and reliability analysis for low-quality chip images. Dr. Liang is dedicated to advancing machine learning methodologies and their practical applications in solving complex problems in various domains.

Skills:

Dr. Zexiao Liang specializes in advanced machine learning and data analysis techniques, focusing on the integration of multiple transformation domain information, multi-modal and multi-view learning, and clustering analysis. His expertise also includes designing algorithms to address domain-specific challenges, such as predicting multi-drug interactions and analyzing low-quality chip images for reliability. He is proficient in feature fusion strategies and parameter optimization, as well as dimensionality reduction techniques for manifold-based semi-supervised classification.

 

Publications:

 

Spectral clustering based on high‐frequency texture components for face datasets

  • Authors: Z Liang, S Guo, D Liu, J Li
  • Journal: IET Image Processing
  • Volume: 15
  • Issue: 10
  • Pages: 2240-2246
  • Year: 2021
  • Citations: 3

Optimal Mean Linear Classifier via Weighted Nuclear Norm and L2,1 Norm

  • Authors: D Zeng, Z Liang, Z Wu
  • Journal: 电子与信息学报
  • Volume: 44
  • Issue: 5
  • Pages: 1602-1609
  • Year: 2022
  • Citations: 2

An effective clustering algorithm for the low-quality image of integrated circuits via high-frequency texture components extraction

  • Authors: Z Liang, G Tan, C Sun, J Li, L Zhang, X Xiong, Y Liu
  • Journal: Electronics
  • Volume: 11
  • Issue: 4
  • Article Number: 572
  • Year: 2022
  • Citations: 2

HDGN: Heat diffusion graph network for few-shot learning

  • Authors: Q Tan, Z Wu, J Lai, Z Liang, Z Ren
  • Journal: Pattern Recognition Letters
  • Volume: 171
  • Pages: 61-68
  • Year: 2023
  • Citations: 1

2D DOA Estimation Through a Spiral Array Without the Source Number

  • Authors: J Li, J Dai, Z Liang, D Liu, S Guo, Y Liu
  • Journal: Circuits, Systems, and Signal Processing
  • Volume: 41
  • Issue: 5
  • Pages: 3011-3022
  • Year: 2022
  • Citations: 1

A fusion representation for face learning by low-rank constrain and high-frequency texture components

  • Authors: Z Liang, D Zeng, S Guo, J Li, Z Wu
  • Journal: Pattern Recognition Letters
  • Volume: 155
  • Pages: 48-53
  • Year: 2022
  • Citations: 1

Face recognition via optimal mean robust linear discriminant analysis

  • Authors: D Zeng, Z Wu, Z Ren, Z Liang, S Xie
  • Conference: 2018 Chinese Automation Congress (CAC)
  • Pages: 1504-1509
  • Year: 2018
  • Citations: 1

Kai-Chih Chang | Internet of Things | Best Researcher Award

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Mr. Kai-Chih Chang | Internet of Things | Best Researcher Award

Graduate Research Assistant at Center for Identity, University of Texas at Austin, United States

Summary:

Mr. Kai-Chih Chang is a Ph.D. candidate in Electrical and Computer Engineering at the University of Texas at Austin, where he has been studying since August 2016, with an anticipated graduation date in December 2024. He holds a Bachelor of Science in Computer Science from National Tsing Hua University in Hsinchu City, Taiwan, completed in June 2015. Kai-Chih possesses a diverse skill set in programming languages such as Python, C#, and JavaScript, and has expertise in machine learning, data mining, and deep learning. He has extensive experience as a Graduate Research Assistant at the UT Austin Center for Identity, working on projects involving identity theft data processing and visualization. Additionally, he has worked as a Software Engineer on the Privacy Preserve Contact Tracing App in collaboration with Verizon. Kai-Chih has demonstrated leadership and technical prowess, leading teams to victory in prestigious competitions such as the ASC15 Asia Supercomputer Challenge and the SC14 Supercomputing Conference.

Profile:

Education:

Mr. Kai-Chih Chang is currently pursuing a Doctor of Philosophy in Electrical and Computer Engineering at the University of Texas at Austin (UT Austin), where he has been enrolled since August 2016. He is expected to graduate in December 2024. Prior to this, he completed his Bachelor of Science in Computer Science at National Tsing Hua University (NTHU) in Hsinchu City, Taiwan, where he studied from September 2011 to June 2015.

Professional Experience:

Mr. Kai-Chih Chang has garnered extensive professional experience throughout his academic career. As a Graduate Research Assistant at the UT Austin Center for Identity from April 2017 to May 2025, he utilized Python to process datasets from over 6,000 media news reports of identity theft, built a graphical model using Java and JavaScript to visualize large-scale datasets, and ran simulations with a Bayesian Network model to answer research questions on identity theft. Additionally, he served as a Software Engineer for the Privacy Preserve Contact Tracing App in collaboration with UT Austin and Verizon from June 2020 to December 2021. In this role, he implemented the graphical user interface (GUI) for Android and iOS versions of the app using C# on Xamarin, developed the backend system with AWS and C#, and collaborated with team members using GitHub for version control. His work experience showcases his proficiency in software development, data processing, and collaborative project management.

Research Interests:

Mr. Kai-Chih Chang’s research interests encompass a broad spectrum of topics within the realm of electrical and computer engineering. His primary focus lies in the fields of machine learning and data mining, where he explores advanced algorithms and their applications. Additionally, he has a keen interest in parallel programming and deep learning, investigating their potential to enhance computational efficiency and performance. Mr. Chang is also dedicated to mobile computing and web development, leveraging technologies such as PET, TensorFlow, and Unity to create innovative solutions. His research is further complemented by his expertise in distributed systems and the utilization of platforms like GitHub and Linux, reflecting his commitment to advancing technology and solving complex engineering challenges.

Skills:

Mr. Kai-Chih Chang possesses a robust set of technical skills that span across various programming languages, technologies, and frameworks. His proficiency includes languages such as Python, Scikit-Learn, C♯, HTML/CSS, JavaScript, MySQL, and RStudio. He has honed his expertise in key areas such as machine learning, data mining, parallel programming, deep learning, mobile computing, and web development. Additionally, Mr. Chang is adept with technologies and frameworks including PET, TensorFlow, Unity, GitHub, Linux, Shell Script, Cluster Computer, and Distributed Systems. His diverse skill set enables him to tackle complex engineering problems and develop innovative technological solutions.

 

Publications:

 

Personalized Privacy Assistant: Identity Construction and Privacy in the Internet of Things

  • Authors: Kai-Chih Chang, Suzanne Barber
  • Journal: Entropy
  • Year: 2023
  • Date: April 26
  • DOI: 10.3390/e25050717
  • Source: Crossref

A Framework for Estimating Privacy Risk Scores of Mobile Apps

 

Saif Alharbi | Water Use Efficiency | Best Researcher Award

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Dr. Saif Alharbi | Water Use Efficiency | Best Researcher Award

Doctorate at The National Research and Development Center for Sustainable Agriculture (Estidamah), United States

Summary:

Dr. Saif Alharbi is the Acting Director of the R&D Department and Head of the Research Planning and Follow-up Department at the National Research and Development Center for Sustainable Agriculture (Estidamah). He earned his Ph.D. in Soil Science from Oklahoma State University, where he specialized in Soil and Water Chemistry, Biodegradation, and Soil Nutrient Management. Dr. Alharbi also holds a Master’s degree in Soil Science from King Saud University and a Bachelor’s degree in Soil and Water from Qassim University. His professional interests include environmental soil chemistry, organic soil amendments, soil fertility and precision nutrient management, and soil salinity management. Dr. Alharbi has contributed to numerous research projects and international collaborations, particularly with the IAEA, and has published extensively in his field.

Profile:

Education:

Dr. Saif Alharbi holds a Ph.D. in Soil Science from Oklahoma State University, Stillwater, OK, which he completed between January 2015 and May 2018 under the supervision of Dr. Brian Arnall. His doctoral studies encompassed advanced coursework in Soil and Water Chemistry, Advanced Soil Chemistry, Environmental Soil Physics, Biodegradation and Bioremediation, Principles and Applications of Soil Microbiology, and Soil Nutrient Management. Prior to this, he earned a Master of Science degree in Soil Science from King Saud University, Riyadh, Saudi Arabia, from June 2006 to April 2010, with Dr. Abdullah Modaihsh as his advisor. His master’s curriculum included Design and Analysis of Agricultural Experiments, Soil Fertility and Fertilizers, Irrigation Water Quality, Soil, Plant and Water Analysis, Environmental Soil Chemistry, Environmental Soil Physics, Plant Nutrition, Soils Genesis, and Geomorphology. Dr. Alharbi also holds a Bachelor of Science degree in Soil and Water from Qassim University, Qassim, Saudi Arabia, which he obtained between October 1999 and June 2004. His undergraduate coursework covered a wide range of topics including Analytical Chemistry, Biochemistry, Organic Chemistry, Plant Physiology, Soil Analysis Methods, Irrigation and Drainage Principles, Soil Reclamation, Soil Conservation, Soil Pedology, Soil Survey and Classification, Soil Physics, Soil Microbiology, Soil Mineralogy, and Soil Fertility and Fertilizers.

Professional Experience:

Dr. Saif Alharbi has held various prominent positions throughout his career, showcasing his expertise in soil science and sustainable agriculture. Since October 2023, he has been serving as the Acting Director of the R&D Department at the National Research and Development Center for Sustainable Agriculture (Estidamah), where he has also been the Head of the Research Planning and Follow-up Department since October 2018. In these roles, Dr. Alharbi has been instrumental in creating and activating operational strategies, establishing policies and procedures, and driving the digital transformation of research and innovation. At the Institute of Advanced Agricultural and Food Technologies, KACST, Dr. Alharbi served as an Associate Research Professor of Soil Chemistry and Plant Nutrition from June 2022 to October 2023. He also headed the Soil and Water Chemistry Laboratory during the same period and chaired the Strategic Plan Preparation Committee from November 2022 to October 2023. His leadership extended to international projects, where he was the Principal Investigator and research group leader for a cooperative project with the International Atomic Energy Agency (IAEA) on climate-smart crop production starting in January 2022. Additionally, he has been the Saudi counterpart in designing and implementing technical cooperation projects with the IAEA since November 2021. Dr. Alharbi’s contributions also include his role as CO-Principal Investigator for national projects on vegetation cover with the National Center for Vegetation Development and Combating Desertification (November 2021 – October 2023), and as a member of the Committee of Experts at the Prince Sultan bin Abdul Aziz Center for Research, Environmental Studies, and Tourism, King Khalid University (June 2022 – June 2023). He has been involved with the Ministry of Environment, Water, and Agriculture, studying the prevalence of abandoned and open wells (June 2022 – March 2023), and was a team member for innovative technologies for the Saudi green initiative with King Abdulaziz City for Science and Technology (November 2021 – May 2022). Dr. Alharbi served as a full-time advisor for private affairs for the Custodian of the Two Holy Mosques, King Salman bin Abdulaziz Al Saud (January 2019 – January 2021). He was part of King Abdullah’s initiative for solar water desalination, investigating the use of desalinated water in agriculture (April 2012 – January 2013).

Research Interest:

Dr. Saif Alharbi’s research interests are focused on several critical areas within soil science and sustainable agriculture. His work in environmental soil chemistry explores the interactions between soil components and contaminants, aiming to improve soil health and productivity. He is also deeply involved in studying organic soil amendments, which enhance soil fertility and structure through the addition of organic materials. Dr. Alharbi’s expertise in soil fertility and precision nutrient management is directed towards optimizing the use of fertilizers to ensure sustainable crop production. Additionally, his research on soil salinity management in agriculture seeks to develop strategies to mitigate the adverse effects of salinity on crop yield. Another significant aspect of his research is bioremediation for soil pollution, which involves using biological methods to detoxify polluted soils. Dr. Alharbi’s comprehensive research efforts contribute significantly to advancing agricultural sustainability and environmental conservation.

Skills:

Dr. Saif Alharbi possesses a diverse set of skills essential for advancing research and development in sustainable agriculture. He is an experienced soil scientist with a strong background in environmental soil chemistry, organic soil amendments, and precision nutrient management. His proficiency in biostatistics, particularly using SPSS and R programs, enables him to conduct detailed data analysis and interpret complex research findings effectively. Dr. Alharbi is adept at creating and implementing operational strategies, policies, and procedures to enhance research productivity and innovation. As the admin of a Telegram group, Toxo Clinic, he provided critical consultations and referrals during the COVID-19 pandemic, demonstrating his commitment to practical applications of his expertise. Additionally, he has extensive experience training junior doctors and researchers, focusing on the first care management of clinical toxicology and other critical areas in soil science and agriculture. Dr. Alharbi’s comprehensive skill set underscores his capability to contribute significantly to both academic and practical advancements in his field.

Awards and Honors:

Dr. Saif Alharbi has been recognized for his exceptional contributions to the field of sustainable agriculture and soil science. He was honored with the Guild Shield by the Doctors Syndicate in Sohag, Egypt, on March 29, 2023, in acknowledgment of his dedicated efforts in training junior doctors on the first care management of clinical toxicology cases. This award highlights his commitment to education and mentorship, as well as his significant impact on improving clinical practices and agricultural sustainability.

 

Publications:

Regulation of Root Growth and Elongation in Wheat

  • Authors: Alrajhi, A., Alharbi, S., Beecham, S., Alotaibi, F.
  • Journal: Frontiers in Plant Science
  • Year: 2024
  • Volume: 15
  • Article: 1397337
  • Citations: 0

Precise Genome Editing of Plants Through Base and Prime Editor

  • Authors: Alharbi, S., Al-Dakhil, M., Alotaibi, F.S.
  • Book: OMICs-based Techniques for Global Food Security
  • Year: 2024
  • Pages: 269–286
  • Citations: 0

Application of Beet Sugar Byproducts Improves Maize Growth and Salt Redistribution in Saline Soils

  • Authors: Alharbi, S.F., Alotaibi, F.S., Ku, L., Zhang, W., Abou-Elwafa, S.F.
  • Journal: Journal of Soil Science and Plant Nutrition
  • Year: 2023
  • Volume: 23
  • Issue: 2
  • Pages: 2152–2161
  • Citations: 1

Organic Nitrogen Fertilization Minimizes Requirement of Inorganic Fertilizers and Improves Growth and Yield Attributes of Superior Grapevines

  • Authors: Muhammed, M., Qayyum, M.F., Alotaibi, F., Alharbi, S.F.
  • Journal: Journal of Plant Nutrition
  • Year: 2023
  • Volume: 46
  • Issue: 17
  • Pages: 4171–4187
  • Citations: 0

Role of Transcriptomics in Countering the Effect of Abiotic Stresses in Wheat

  • Authors: Alotaibi, F., Alharbi, S., Alrajhi, A.
  • Book: Abiotic Stresses in Wheat: Unfolding the Challenges
  • Year: 2023
  • Pages: 233–246
  • Citations: 0

Application of Molasses as an Eco-Innovative Approach Substitutes Mineral Nitrogen Fertilization and Enhances Sugar Beet Productivity

  • Authors: Al-Dhumri, S.A., Al Mosallam, M.S., Zhang, W., Alharbi, S., Abou-Elwafa, S.F.
  • Journal: Waste and Biomass Valorization
  • Year: 2023
  • Volume: 14
  • Issue: 1
  • Pages: 287–296
  • Citations: 4

Effect of Phosphorus-Loaded Biochar and Nitrogen-Fertilization on Release Kinetic of Toxic Heavy Metals and Tomato Growth

  • Authors: Ding, Z., Alharbi, S., Ali, E.F., Wang, G., Eissa, M.A.
  • Journal: International Journal of Phytoremediation
  • Year: 2022
  • Volume: 24
  • Issue: 2
  • Pages: 156–165
  • Citations: 10

Recycling of Beet Sugar Byproducts and Wastes Enhances Sugar Beet Productivity and Salt Redistribution in Saline Soils

  • Authors: Aljabri, M., Alharbi, S., Al-Qthanin, R.N., Chen, J., Abou-Elwafa, S.F.
  • Journal: Environmental Science and Pollution Research
  • Year: 2021
  • Volume: 28
  • Issue: 33
  • Pages: 45745–45755
  • Citations: 12

A New Method to Recycle Dairy Waste for the Nutrition of Wheat Plants

  • Authors: Alharbi, S., Majrashi, A., Ghoneim, A.M., Hassan, F.A.S., Eissa, M.A.
  • Journal: Agronomy
  • Year: 2021
  • Volume: 11
  • Issue: 5
  • Article: 840
  • Citations: 15

Improving Quality of Metal-Contaminated Soils by Some Halophyte and Non-Halophyte Forage Plants

  • Authors: Ding, Z., Alharbi, S., Almaroai, Y.A., Eissa, M.A.
  • Journal: Science of the Total Environment
  • Year: 2021
  • Volume: 764
  • Article: 142885
  • Citations: 18