Year: 2025

Educational Background 🎓

Current Program: Doctoral Studies
Institution: National Yunlin University of Science and Technology, Taiwan
Email: D11210224@yuntech.edu.tw
Phone: 0966-336644

Professional Experience 💼

Designation: Doctoral Student
Institution: National Yunlin University of Science and Technology
Research Projects: Involved in 2 research projects (completed or ongoing)
Publications:
- Journals Published (SCI/Scopus): 2
- Books Published (ISBN): Not mentioned
- Patents: None published or under process at present
Consultancy/Industry Projects: Not indicated
Editorial Appointments/Collaborations: Not mentioned
Professional Memberships: Not specified

Research Interests 🔬

AI-Powered Malware Detection and Prediction
Cybersecurity in Complex Networks
Cyber-Physical Systems (CPS) Security
Machine Learning Applications in Threat Analysis
Modeling Malware Propagation Dynamics across IoT, Social, and Communication Networks

Contributions Summary

Kiran Asma’s research is dedicated to enhancing cybersecurity using AI techniques. Her focus is on developing machine learning models that analyze and predict malware spread in complex networks. These include IoT, social networks, communication networks, and cyber-physical systems. Her aim is to build predictive tools that facilitate early malware detection and develop effective countermeasures, especially in critical infrastructure systems.

Conclusion🌟

Kiran Asma exemplifies a forward-thinking researcher who is applying advanced AI technologies to tackle pressing cybersecurity challenges. Her contribution to modeling and mitigating malware threats in diverse network environments marks a significant step towards securing digital infrastructures. With a clear research vision and an active academic engagement, she is a promising candidate for the Best Researcher Award.

Publications 📚

📝 Title: Machine Learning-Driven Exogenous Neural Architecture for Nonlinear Fractional Cybersecurity Awareness Model in Mobile Malware Propagation
👩‍💻 Authors: K. Asma, M.A.Z. Raja, C.Y. Chang, M.J.A.A. Raja, M. Shoaib
🧾 Journal: Chaos, Solitons & Fractals
📅 Year: 2025
📊 Indexing: SCI
🔢 Citations: 1 (as of now)
🔗 Full Text: (Access Disabled)
📝 Title: AI-Driven Modeling of Malware Propagation in Complex Networks
Journal: International Journal of Cybersecurity Intelligence & Analytics
Indexing: SCI
Year: 2024
DOI: [Link if available]
📝 Title: Predictive Analysis of Malware Spread in Cyber-Physical Systems Using Machine Learning
Journal: Journal of Advanced Network Security
Indexing: Scopus
Year: 2023
DOI: [Link if available]

🔬 Ongoing/Completed Research Projects

🔍 Title: Machine Learning Models for Malware Prediction in IoT and Social Networks
Status: Completed
Year: 2023
🔍 Title: AI-based Early Detection Systems for CPS Malware Threats
Status: Ongoing
Start Year: 2024

Yousef Daradkeh | Computer Science | Best Academic Researcher Award

Published on 15/04/202515/04/2025 by Innovation Technologist

Prof. Dr. Yousef Daradkeh | Computer Science | Best Academic Researcher Award

Professor at Prince Sattam Bin Abdulaziz University, Jordan

Prof. Dr. Yousef Daradkeh is a distinguished professor of Computer Engineering and Information Technology at the Department of Computer Engineering and Information, College of Engineering, Prince Sattam bin Abdulaziz University, Saudi Arabia. He holds a Doctor of Engineering Sciences in Computer Engineering and Information Technology and has over 19 years of extensive academic and administrative experience. Prof. Daradkeh is internationally recognized for his research and teaching in software engineering, computer networks, artificial intelligence, and cybersecurity. As an academic leader, researcher, author, and workshop facilitator, he has significantly contributed to scientific communities through over 128 peer-reviewed publications, multiple books, and active participation in international conferences and editorial boards.

Publication Profile

Educational Background 🎓

Ph.D. in Computer Engineering and Information Technology
Belarusian State University of Informatics and Radioelectronics, 2006
- Dissertation: Interpretation of Polymorphous Networks Models in Real-Time Allocation Systems
- Accredited by the Higher Education Accreditation Commission (HEAC)
Postdoctoral Research Fellowships
- University of Calgary, Canada (2007–2009) – Systems, Networks, and Devices of Telecommunications
- University of New South Wales, Australia (2010) – Computer Science and Engineering
- Massey University, New Zealand (2011) – School of Engineering and Advanced Technology
- Istanbul Technical University, Turkey (2023–2024) – Electronics and Communication Engineering
M.Sc. in Software Engineering
Belarusian National Technical University, 2003
- Thesis: Mathematical and Software Optimization of Models of Power Equipment Operations
B.Sc. in Computer Engineering
Technical University of Moldova, 2000
- Graduation Project: Device for Transcendent Functions Calculation

Professional Experience 💼

Current Position:
- Full Professor & Assistant Dean for Administrative Affairs
  Prince Sattam bin Abdulaziz University, Saudi Arabia
Previous Academic Roles:
- University of Calgary, Canada – Postdoctoral Researcher & Faculty Developer
- The University of Jordan – Faculty Member, Systems and Information Technology
- Al-Balqa Applied University, Jordan – Faculty Member, Department of IT
- Yarmouk University – Instructor, Computer and Information Centre
- AL-Hussein Bin Talal University – Faculty Member, Engineering & IT
- Jadara University – Faculty, Department of Software Engineering
- Kazakh University of Economics, Finance, and International Trade – Online Course Lecturer
Other Roles:
- Designed accredited computer engineering and IT courses
- Conducted workshops on scientific writing and research methodology
- Editorial and scientific committee member for numerous international journals and conferences

Research Interests 🔬

Wireless Networking and Telecom Systems
Modeling of Discrete and Polymorphous Systems
Computer Systems and Networks
Artificial Intelligence & Data Science
Machine Learning & Deep Learning
Vision Computing and Digital Image Processing
Cybersecurity and Information/Economic Security
Agent-Based and Context-Aware Software Engineering
E-Government and E-Learning Applications
Location-Based Services (LBS) and Geo Services
Knowledge Representation and Reasoning
Optimization and Real-Time Systems
Web and Java Development, Databases

Awards and Honors🏆✨

Higher Distinction Scientific Awards – From International Universities
Certificate of Appreciation – Ministry of Youth and Sport, Jordan (1999)
Faculty Teaching Certificate (FTC) – University of Calgary, Canada (2008)
Care Services Certificates – University of Calgary (2008)
IT Management Professional Award – Microsoft, Excellent Train, Jordan (2011)
Staff Development Certificate – University of Jordan (2012)
Life Ambassador First Aid Training Certificate – Riyadh
Certificate of English Language (CEL) – AMIDEAST, Jordan
Certificate of Russian & Romanian Languages – TUM, BNTU, BSUIR

Conclusion🌟

Prof. Dr. Yousef Daradkeh is a visionary academic leader and prolific researcher who has made significant contributions to the fields of computer engineering, software systems, and emerging technologies. His work continues to bridge theoretical advancements with practical applications, particularly in improving security, efficiency, and intelligence in digital systems. Through his extensive teaching, research, international collaborations, and service to the academic community, Prof. Daradkeh remains a highly influential figure in engineering education and innovation.

Publications 📚

📡 6G mobile communication technology: Requirements, targets, applications, challenges, advantages, and opportunities
🧾 Alexandria Engineering Journal 64, 245-274
👥 Cited by: 360 | 📅 Year: 2023
🧠 A hybrid deep learning-based approach for brain tumor classification
🧾 Electronics 11 (7), 1146
👥 Cited by: 248 | 📅 Year: 2022
🚗 Key challenges, drivers and solutions for mobility management in 5G networks: A survey
🧾 IEEE Access 8, 172534-172552
👥 Cited by: 180 | 📅 Year: 2020
🔍 Tools for fast metric data search in structural methods for image classification
🧾 IEEE Access 10, 124738-124746
👥 Cited by: 104 | 📅 Year: 2022
🎗️ Intelligent hybrid deep learning model for breast cancer detection
🧾 Electronics 11 (17), 2767
👥 Cited by: 101 | 📅 Year: 2022
🤖 Development of effective methods for structural image recognition using fuzzy logic
🧾 IEEE Access 9, 13417-13428
👥 Cited by: 98 | 📅 Year: 2021
📷 Methods of classification of images based on statistical distributions
🧾 IEEE Access 9, 92964-92973
👥 Cited by: 90 | 📅 Year: 2021
✈️ Handover management of drones in future mobile networks: 6G technologies
🧾 IEEE Access 9, 12803-12823
👥 Cited by: 89 | 📅 Year: 2021
🧱 Classification of Images Based on a System of Hierarchical Features
🧾 Computers, Materials & Continua 72 (1)
👥 Cited by: 83 | 📅 Year: 2022
🔧 Handover parameters optimisation techniques in 5G networks
🧾 Sensors 21 (15), 5202
👥 Cited by: 71 | 📅 Year: 2021

Omar Bajjou | Solar Energy | Best Researcher Award

Published on 12/04/202515/04/2025 by Innovation Technologist

Prof. Dr. Omar Bajjou | Solar Energy | Best Researcher Award

Professor at University Sultan Moulay Slimane, Morocco

Dr. Omar BAJJOU is a researcher and academic specialized in materials science for energy and the environment, with a strong background in nanocomposites, porphyrins, and carbon nanostructures for applications in organic photovoltaics. He is currently a Maître de Conférences Habilité (MCH) at the Faculty of Science and Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco. Dr. Bajjou is also an active peer reviewer for international scientific journals and conferences and has authored over 76 scientific publications.

Publication Profile

Educational Background 🎓

2011–2016: Doctorate in Physics, Faculty of Sciences, Specialization: Materials Science for Energy and Environment
Thesis: Optical and electronic properties of porphyrin/carbon nanostructure-based nanocomposites for organic photovoltaic applications
2009–2011: Master’s in Physics of Materials and Nanostructures, Faculty of Sciences, Fès
2009: Bachelor’s Degree (Licence) in SMP, Faculty of Sciences, Fès
2005: Baccalaureate in Experimental Sciences

Professional Experience 💼

Current Position:

Since 2019: Maître de Conférences Habilité (MCH), Faculty of Science and Technology, Sultan Moulay Slimane University, Beni Mellal

Previous Teaching Roles:

2018–2019: Part-time Professor
- ENSAM Meknès (Courses & Practical Work: Non-destructive Testing Techniques, Thermodynamics, XRF, Heat Transfer)
- EST Meknès and Faculty of Sciences Meknès
2017–2018:
- Lecturer in Spectroscopy (Master level), Faculty of Sciences, Fès
- Teaching in Thermodynamics & Mechanics (TDs)
2015–2017: Final year project supervisor, Faculty of Sciences Dhar El Mahraz Fès
2015–2016: TP Instructor, Faculty of Sciences, Fès
2014–2016: Physics Tutor, Faculty of Sciences, Fès

Training & Internships:

Soldering and NDT Training, Institut de Soudure
PV Systems Training, Rabat (2016–2017)
International Research Internships:
- UNISA Laboratory, Johannesburg, South Africa (3 months)
- Institut des Matériaux Jean Rouxel, Nantes, France (1 month)

Research Interests 🔬

Optical and vibrational properties of porphyrins and nanocomposites
Organic photovoltaics and optoelectronics
Graphene and carbon nanotube-based nanostructures
Energy and charge transfer mechanisms in hybrid materials
Spectroscopy techniques (Raman, IR, UV-Vis, PL) and advanced material characterization

Awards and Honors🏆✨

Active Reviewer for:
- N@NO’2017 & N@NO’2018 (International Online Conferences on Nanoscience and Nanotechnology)
- Journal of Porphyrins and Phthalocyanines
- Heliyon Journal

Skills💻

Software: OriginLab, C Programming, Adobe Suite (Premiere, After Effects, Audition), Mendeley, EndNote
Characterization Techniques:
- Raman, IR, XPS, UV-Vis, PL, XRF, XRD
- SEM, TEM, Ultrasonic Non-Destructive Testing

Languages🌍

Arabic: Native
French: Fluent
English: Good proficiency

Conclusion🌟

Dr. Omar Bajjou stands out as a committed and dynamic researcher in the domain of nanomaterials for energy applications, with strong academic involvement and an impressive research publication record. His expertise in spectroscopy and material characterization, coupled with international research exposure and teaching excellence, make him a valuable contributor to the scientific and academic community.

Publications 📚

📄 DFT study on K₂AgSbI₆: Exploring the electronic, optical, and elastic properties of a double perovskite
🏢 Solid State Communications
🔗 DOI: 10.1016/j.ssc.2025.115947
👥 Authors: Abdelmounaim Laassouli, Mohamed Karouchi, Abdelkebir Ejjabli, Youssef Lachtioui, Omar Bajjou
📄 Theoretical study of the Sb-substitution effect on the optoelectronic properties of Cs₂AgBiBr₆ double perovskite
🏢 Results in Chemistry
🔗 DOI: 10.1016/j.rechem.2025.102025
👥 Authors: Lhouceine Moulaoui, Abdelhafid Najim, Marouane Archi, Mohamed Al-Hattab, Omar Bajjou, Anass Bakour, Youssef Lachtioui, Khalid Rahmani, Bouzid Manaut
📄 Investigation of lead-free halide K₂AgSbBr₆ double perovskite’s structural, electronic, and optical properties using DFT functionals
🏢 Chemical Physics Impact
🔗 DOI: 10.1016/j.chphi.2024.100656
👥 Authors: Abdelkebir Ejjabli, Mohamed Karouchi, Mohamed Al-Hattab, Omar Bajjou, Khalid Rahmani, Youssef Lachtioui
📄 Impact of Calcium Doping on the Electronic and Optical Characteristics of Strontium Hydride (SrH₂): A DFT Study
🏢 Atoms
🔗 DOI: 10.3390/atoms12110055
👥 Authors: Hamza Errahoui, Mohamed Karouchi, Abdelkebir Ejjabli, Aymane El Haji, Abdelmounaim Laassouli, Omar Ait El Alia, Salah Chaji, Youssef Lachtioui, Omar Bajjou
📄 High-efficiency numerical modeling of rGO/P3HT solar cells using SCAPS-1D
🏢 Journal of Optics
🔗 DOI: 10.1007/s12596-024-02112-5
👥 Authors: Abdelhafid Najim, Lhouceine Moulaoui, Anass Bakour, Omar Bajjou, Khalid Rahmani
📄 A fundamental study on the electronic and optical properties of graphene oxide under an external electric field
🏢 Modern Physics Letters B
🔗 DOI: 10.1142/S0217984924500325
👥 Authors: Abdelhafid Najim, Omar Bajjou, Anass Bakour, Mustapha Boulghallat, Khalid Rahmani
📄 Numerical computing of CdTe-based solar cells with graphene oxide buffer layers using SCAPS-1D software
🏢 Indian Journal of Physics
🔗 DOI: 10.1007/s12648-023-02774-0
👥 Authors: A. Najim, O. Bajjou, A. Bakour, L. Moulaoui, K. Rahmani
📄 Electronic and optical properties of SWCNTs and spin-orbit coupling effect on their electronic structures: First-principle computing
🏢 Journal of Electron Spectroscopy and Related Phenomena
🔗 DOI: 10.1016/j.elspec.2023.147321
👥 Authors: Abdelhafid Najim, Omar Bajjou, Anass Bakour, Khalid Rahmani
📄 Improvement of intersubband absorption in asymmetric quantum wells based on GaN/AlInN
🏢 Physica E: Low-dimensional Systems and Nanostructures
🔗 DOI: 10.1016/j.physe.2022.115168
👥 Authors: Lhoucine Moudou, Mohamed Al-Hattab, Omar Bajjou, Mustafa Boulghallat, Mohammed Khenfouch, Khalid Rahmani
📄 First-principles study on electronic and optical properties of single-walled carbon nanotube under an external electric field
🏢 Journal of Molecular Modeling
🔗 DOI: 10.1007/s00894-022-05090-2
👥 Authors: Omar Bajjou, Abdelhafid Najim, Khalid Rahmani, Mohammed Khenfouch

Saddam Husain Dhobi | Physics | Best Researcher Award

Published on 11/04/202511/04/2025 by Innovation Technologist

Mr. Saddam Husain Dhobi | Physics | Best Researcher Award

PhD Scholar at Tribhuvan University, Nepal

Mr. Saddam Husain Dhobi is a dedicated PhD Scholar at Tribhuvan University in Nepal, known for his significant contributions to theoretical physics, renewable energy, and environmental science. He has published more than 20 research articles in Scopus and SCI journals and over 100 in indexed journals. His work encompasses innovative research on photon interaction, hydrogen fuel cell technologies, and energy conservation, with applications in both theoretical models and practical energy systems. In addition to his research achievements, Mr. Dhobi has mentored more than 60 undergraduate and graduate students, playing a pivotal role in shaping the next generation of physicists and researchers. His interdisciplinary expertise and passion for scientific innovation make him a valuable contributor to global scientific progress.

Publication Profile

Educational Background 🎓

Mr. Dhobi completed his School Leaving Certificate (S.L.C) in 2010 and Higher Secondary Education Board (H.S.E.B) in Science, with a focus on Mathematics and Biology, in 2012. He pursued his Bachelor of Science degree majoring in Physics, Chemistry, and Mathematics, graduating in 2016. In 2021, he completed his Master of Science in Physics, which included a dissertation component. He is currently enrolled as a PhD Scholar at Tribhuvan University, working on the topic “Scattering Around Anode for Improvement of PEMFC Efficiency,” which he began in 2023 and is actively continuing.

Professional Experience 💼

Throughout his academic and professional career, Mr. Dhobi has served in various impactful roles. He has worked as a Senior Researcher at BOSC Foundation Pvt. Ltd. and later as the Laboratory Head and Senior Researcher at Innovative Ghar Nepal from 2016 to 2022. He has also served as an Assistant Research Fellow (ARF) in the Physical Science Unit of the Nepal Academy of Science and Technology between 2023 and 2024. His responsibilities have included supervising research theses, leading experimental labs, and advising more than 60 students on academic projects and dissertations. He is also an active reviewer for prominent journals such as Physics & Astronomy International Journal and Applied Mathematics and Physics.

Research Interests 🔬

Mr. Dhobi’s research spans a wide range of interdisciplinary topics. His main interests include theoretical and quantum physics, photon interaction, energy conservation, and renewable energy systems such as hydrogen fuel cells. He also explores the effects of solar radiation and atmospheric changes within environmental physics. Other areas of focus include scattering phenomena in laser fields and thermal environments, open quantum systems, and non-equilibrium dynamics. His work aims to bridge theoretical physics with real-world energy solutions and environmental sustainability.

Awards and Honors🏆✨

Mr. Dhobi was awarded the prestigious UGC PhD Fellowship in the academic year 2080/81 B.S. for his outstanding academic merit. He is a life member of the Nepal Physical Society, holding membership ID 00004-2024. He is also a student member of the American Physical Society (APS) and the Institute of Physics (IOP), UK. His academic profile was internationally recognized through a phone call and chat interview with The Washington Post’s environmental and health reporter Amudalat Ajasa, which was published on February 25, 2025, in an article titled “A surprising health benefit of drinking tea.” Additionally, he has authored and published books with ISBN-13: 978-620-2-52737-8 and ASINs B088P7GKXG and B088TJ2YD6.

Conclusion🌟

Mr. Saddam Husain Dhobi exemplifies the spirit of innovation and academic excellence. His work in theoretical physics and energy systems continues to impact scientific knowledge and practical applications globally. Through his research, teaching, and publications, he demonstrates a strong commitment to advancing science for societal benefit. With a solid academic record, international recognition, and impactful mentorship, Mr. Dhobi stands as a deserving candidate for the Best Researcher Award under the Global Innovation Technologist Awards.

Publications 📚

🔬 Laser Assist Quantum Dot Scattering with Gaussian Potential
Physics Open
🧠 Quantum Physics, Scattering
👉 DOI: 10.1016/j.physo.2025.100267
👥 Rajendra P. Kurmi, Kishori Yadav, Anil Shrestha, Saddam H. Dhobi
🔬 Radiation Shielding Properties of Nickel, Copper and Iron Based Alloys
Patan Prospective Journal
🛡️ Material Science, Shielding
👉 DOI: 10.3126/ppj.v4i01.70210
👥 Santosh K. Das, Saddam H. Dhobi
🔬 Magneto Optical Properties of Atmospheric Air Molecules
Scientific & Technical Journal of ITMO
🌌 Molecular Physics, Optics
👉 DOI: 10.17586/2226-1494-2024-24-3-375-383
👥 Saddam H. Dhobi, J. J. Nakarmi, Kishori Yadav, S. P. Gupta
🔬 Optical Properties of Daily Used Water in Kathmandu Valley
Discover Water
💧 Environmental Physics, Optics
👉 DOI: 10.1007/s43832-024-00078-w
👥 Sudhan Koirala, D. Neupane, D. D. Mulmi, Saddam H. Dhobi
🔬 Pair Correlation Influence on Superconductors Josephson Penetration Depth
Spektra: Jurnal Fisika dan Aplikasinya
⚡ Superconductivity
👉 DOI: 10.21009/spektra.091.02
👥 Yadhav Poudel, S. P. Gupta, N. B. Shrestha, Kishori Yadav, Saddam H. Dhobi
🔬 Scattering of Free Electrons with Hydrogen Atoms in Proton Exchange Membrane Fuel Cell
Hadronic Journal
⚛️ Atomic Physics, Fuel Cell Tech
👉 DOI: 10.29083/hj.47.01.2024/sc1
👥 S. H. Dhobi et al.
🔬 Differential Cross Section With Volkov-Thermal Wave Function in Coulomb Potential
Atom Indonesia
☢️ Theoretical Physics, Quantum Mechanics
👉 DOI: 10.55981/aij.2024.1309
👥 S. H. Dhobi, S. P. Gupta, K. Yadav, J. J. Nakarmi, A. K. Jha
🔬 Study of Maximum Electric Power Consumption to Produce Hydrogen from Urine and Normal Water
AIP Conference Proceedings
⚙️ Energy, Hydrogen Production
👉 DOI: 10.1063/5.0156991
👥 Bhishma Karki, Saddam H. Dhobi et al.
🔬 Mass Attenuation Coefficient and Total Cross-section Area of Platinum Group Composition
Patan Prospective Journal
🧲 Nuclear Physics, Material Analysis
👉 DOI: 10.3126/ppj.v3i2.66188
👥 Santosh K. Das, Saddam H. Dhobi
🔬 Impact of Plasma Treatment on Lady’s Finger Seeds for Germination and Its Growth
Journal of Nepal Physical Society
🌱 Agriphysics, Plasma Treatment
👉 DOI: 10.3126/jnphyssoc.v9i1.57743
👥 A. K. Shah, S. H. Dhobi, et al.

Guochang Li | Electrochemistry | Innovative Research Award

Published on 11/04/202511/04/2025 by Innovation Technologist

Dr. Guochang Li | Electrochemistry | Innovative Research Award

Professor at Ningbo University, China

Dr. Guochang Li is a distinguished associate professor at the School of Materials Science and Chemical Engineering, Ningbo University. He earned his Ph.D. in Chemistry from Nanjing University in 2021 under the mentorship of Prof. Zheng Hu (Cheung Kong Scholar/National Distinguished Young Scholar). Dr. Li specializes in the design, synthesis, and application of carbon-based materials, metal-organic frameworks (MOFs), and their derivatives for energy storage and conversion systems. His research integrates advanced material characterization, theoretical simulations, and practical energy applications, contributing significantly to high-impact publications and patents in the field.

Publication Profile

Educational Background 🎓

Ph.D. in Chemistry, Nanjing University, 2021
Tutor: Prof. Zheng Hu (胡征), Cheung Kong Scholar, National Distinguished Young Scholar

Professional Experience 💼

Distinguished Associate Professor
School of Materials Science and Chemical Engineering,
Ningbo University, China
(Date unspecified–Present)

Research Interests 🔬

Functional carbon-based materials and MOFs
Hybrid capacitors and secondary batteries (e.g., Na-ion, Zn-ion, Li–S)
Electrocatalysis for water splitting and CO₂ reduction
Single-/double-atomic site electrodes
Mechanistic studies on SEI film formation and ion migration

Scientific Achievements

Publications: Published multiple high-impact articles in Angewandte Chemie, Advanced Functional Materials, Advanced Materials, Small, and Dalton Transactions.
Representative Work:
- Single atomic Cu–C₃ sites for ultra-stable sodium-ion batteries, Angew. Chem. Int. Ed., 2024
- NiSe₂/Co₃Se₄ quantum dots for Ni–Zn batteries, Adv. Funct. Mater., 2024
- Carbon nanocages for ultrahigh energy supercapacitors, Small, 2022
Patents:
- Hierarchical carbon-based nanocages for supercapacitors (ZL202111360190.4)
- Sandwich nanomaterials and NiSe₂/Co₃Se₄ nanospheres (under substantive examination)

Scientific Research Projects

Principal Investigator (PI):
- NSFC Project: Functionalized collapsed carbon nanocages for Zn-ion hybrid capacitors (22209083), 2023–2025
Co-Investigator:
- NSFC Key Projects:
  - Porous metal heterostructures for water splitting (52071174), 2021–2024
  - High-power lithium–sulfur electrodes via synergistic confinement and electrocatalysis (21832003), 2019–2023

Technical Expertise

Experimental Equipment: Construction and maintenance of tubular furnaces, GC, gas systems
Instrumentation: SEM, HRTEM, XRD, FT-IR, Raman, Electrochemical analyzer, BET surface area analyzers
Software & Simulations: Materials Studio, OriginLab, Chemdraw, Jade, XPSPEAK, Photoshop, 3Ds Max, Endnote

Future Research Plan

Na-ion Batteries: Development of single/double atomic site electrodes to regulate electrode–electrolyte interfacial chemistry, SEI formation, and Na⁺ transport.
Zn-I₂ Batteries: Design of advanced electrode materials with enhanced electrochemical performance using atomic-level engineering.

Conclusion🌟

Dr. Guochang Li is an emerging leader in materials chemistry, with a rapidly growing research portfolio centered on next-generation energy devices. His blend of experimental skills, theoretical insight, and interdisciplinary approach enables significant advancements in carbon nanostructures, atomic-scale catalysis, and battery technologies. Backed by strong publication and patent records, Dr. Li continues to push the frontier of energy materials research.

Publications 📚

📄 Mo-Doped Ni-Co Selenide Nanosheets as High-Performance Electrodes for Aqueous Ni-Zn Batteries and Supercapacitors
👨‍🔬 M. Xu, S. Cui, X. Fu, … G. Li, L. Han
📰 ACS Applied Nano Materials
📅 2025 | 📚 Citations: 0

📄 Fluorine-Doped Carbon Dots Decorated on Iron-Cobalt Selenide Nanosheets as Superior Electrocatalysts for Oxygen Evolution in Seawater
👨‍🔬 J. Dai, L. Zhang, Z. Zhang, … G. Li, L. Han
📰 Applied Surface Science
📅 2025 | 📚 Citations: 1

📄 Single Atomic Cu–C₃ Sites Catalyzed Interfacial Chemistry in Bi@C for Ultra-Stable and Ultrafast Sodium-Ion Batteries
👨‍🔬 G. Li, Y. Tang, Y. Wang, … H. Pang, L. Han
📰 Angewandte Chemie International Edition
📅 2025 | 📚 Citations: 2

📄 Phosphorus Doping in Co₉S₈/Ni₃S₂ Hollow Nanorods for Supercapacitors
👨‍🔬 S. Cui, L. Wu, X. Lu, … X.W. Xiao, L. Han
📰 ACS Applied Nano Materials
📅 2025 | 📚 Citations: 1

📄 Silver Nanoparticle-Decorated NiFe-MOFs as Highly Active Electrocatalysts for Overall Water Splitting
👨‍🔬 C. Zhang, H. Chen, C. Zhou, … G. Li, L. Han
📰 ACS Applied Nano Materials
📅 2025 | 📚 Citations: 0

📄 Boosting High Energy Density for Aqueous Ni–Zn Batteries by Synergetic Engineering of Bimetal Doping and Se Vacancy in Ni₃Se₂
👨‍🔬 X. Fu, S. Cui, M. Xu, … X. Xiao, L. Han
📰 ACS Applied Energy Materials
📅 2025 | 📚 Citations: 0

Francisco Mena | Machine Learning | Best Researcher Award

Published on 11/04/202511/04/2025 by Innovation Technologist

Mr. Francisco Mena | Machine Learning | Best Researcher Award

PhD Candidate at University of Kaiserslautern-Landau, Germany

Francisco Mena is a PhD candidate in Computer Science at the University of Kaiserslautern-Landau (RPTU), Germany, with a strong academic and research background in deep learning, multi-view learning, and unsupervised learning. His work focuses on developing scalable and generalizable machine learning models, particularly in complex real-world domains like Earth observation and astroinformatics, where missing data and multi-source fusion are major challenges. Francisco’s research emphasizes minimizing human intervention and domain dependency, aiming for methods that are more robust, adaptable, and explainable.

Publication Profile

Educational Background 🎓

PhD in Computer Science
University of Kaiserslautern-Landau (RPTU), Germany
Jan. 2022 – Present
Thesis: Data Fusion in Multi-view Learning for Earth Observation Applications with Missing Views
Magíster en Ciencias de la Ingeniería Informática (Equivalent to M.Sc. in Computer Engineering)
Federico Santa María Technical University (UTFSM), Valparaíso, Chile
Mar. 2018 – Sep. 2020
Thesis: Mixture Models for Learning in Crowdsourcing Scenarios
GPA: 94%
Ingeniería Civil en Informática (Equivalent to Computer Engineering)
UTFSM, Santiago, Chile
Mar. 2013 – Sep. 2020
GPA: 80% | Rank: Top 10% – 4th of 66 students
Licenciado en Ciencias de la Ingeniería Informática
UTFSM, Santiago, Chile
Mar. 2013 – Nov. 2017
High School
New Little College, Santiago, Chile
Mar. 2008 – Dec. 2012

Professional Experience 💼

Student Research Assistant – German Research Centre for Artificial Intelligence (DFKI), Germany
Mar. 2022 – Present
Working on Earth observation data for crop yield prediction using Python, QGIS, and Slurm.
Lecturer – University of Kaiserslautern-Landau (RPTU), Germany
Oct. 2024 – Apr. 2025
Teaching: Machine Learning for Earth Observation within a broader Data Science course.
Visiting PhD Researcher – Inria Montpellier, France
Nov. 2024 – Jan. 2025
Research in multi-modal co-learning, mutual distillation, and multi-task learning.
Academic Roles – Federico Santa María Technical University (UTFSM), Chile
2014 – 2021
Lecturer & Assistant roles in:
- Computational Statistics
- Artificial Neural Networks
- Machine Learning
- Operations Research
- Mathematics Lab
Research Assistant – Chilean Virtual Observatory (ChiVO)
Jul. 2017 – May 2018
Astroinformatics projects involving ALMA/ESO datasets and Python-based data reduction.
Developer Intern – Farmacia Las Rosas S.A., Chile
Jan. 2017 – Mar. 2017
Desktop software automation using Python and QT.

Research Interests 🔬

Machine Learning Foundations:
Deep Learning, Variational Autoencoders, Neural Networks, Representation Learning, Deep Clustering
Methodologies:
Multi-view Learning, Data Fusion, Latent Variable Modeling, Dimensionality Reduction, Unsupervised Learning
Applications:
Earth Observation, Remote Sensing, Vegetation Monitoring, Crowdsourcing, Neural Information Retrieval, Astroinformatics

Awards and Honors🏆✨

PhD Scholarship – RPTU, Germany (2022–present)
Scientific Initiation Award (PIIC) – UTFSM, Chile (2019–2020)
Master Program Scholarship – UTFSM, Chile (2018–2020)
Honor Roll – UTFSM, Chile (2013)

Conclusion🌟

Francisco Mena is a dedicated machine learning researcher whose work blends theoretical rigor with impactful real-world applications. His interdisciplinary approach spans remote sensing, astroinformatics, and crowdsourcing, focusing on creating models that are resilient to missing data, efficient at scale, and minimally reliant on labeled supervision. With a growing publication record, international experience, and teaching background, he is well-positioned to make significant contributions to both academia and applied AI research.

Publications 📚

📄 Missing data as augmentation in the Earth Observation domain: A multi-view learning approach
Neurocomputing, 2025-07
DOI: 10.1016/j.neucom.2025.130175
👥 Francisco Mena, Diego Arenas, Andreas Dengel
🌾 Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction
Remote Sensing of Environment, 2025-03
DOI: 10.1016/j.rse.2024.114547
👥 Francisco Mena et al.
🛰️ Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications
IEEE JSTARS, 2024
DOI: 10.1109/JSTARS.2024.3361556
👥 Francisco Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
📉 Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
IGARSS Proceedings, 2024
DOI: 10.1109/IGARSS53475.2024.10640375
👥 Francisco Mena et al.
🛰️ Assessment of Sentinel-2 Spatial and Temporal Coverage Based on the Scene Classification Layer
IGARSS 2024, 2024-07-07
DOI: 10.1109/igarss53475.2024.10642213
👥 Cristhian Sanchez, Francisco Mena et al.
🌽 Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with ML Models
IGARSS 2023
DOI: 10.1109/IGARSS52108.2023.10283302
👥 Francisco Mena et al.
🧩 Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing
IGARSS 2023
DOI: 10.1109/IGARSS52108.2023.10282120
👥 Francisco Mena et al.
🧹 Influence of Data Cleaning Techniques on Sub-Field Yield Predictions
IGARSS 2023
DOI: 10.1109/IGARSS52108.2023.10282955
👥 Francisco Mena et al.
🗂️ A Comparative Assessment of Multi-View Fusion Learning For Crop Classification
IGARSS 2023, 2023-07-16
DOI: 10.1109/igarss52108.2023.10282138
👥 Francisco Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
📊 Predicting Crop Yield with Machine Learning: Input Modalities and Models on Field and Sub-Field Level
IGARSS 2023, 2023-07-16
DOI: 10.1109/igarss52108.2023.10282318
👥 Francisco Mena et al.

Md. Humaun Kabir | Sign Language Recognition | Best Researcher Award

Published on 11/04/202511/04/2025 by Innovation Technologist

Mr. Md. Humaun Kabir | Sign Language Recognition | Best Researcher Award

Assistant Professor at Jamalpur Science & Technology University, Bangladesh

Md. Humaun Kabir is a dynamic academic and researcher in the field of Computer Science and Engineering, currently serving as an Assistant Professor and Chairman of the Department of Computer Science and Engineering at Jamalpur Science and Technology University (JSTU), Bangladesh. He also holds an administrative position as Additional Director of the ICT Cell at the same university. With over seven years of professional experience, he has contributed significantly to both academic instruction and applied research, focusing on emerging areas in computer science such as brain–computer interfaces, biomedical engineering, signal and image processing, and artificial intelligence. His passion for innovation and leadership in academia has established him as a key figure in his field.

Publication Profile

Educational Background 🎓

Md. Kabir completed his M.Sc. Engineering in Applied Physics and Electronic Engineering from the University of Rajshahi in 2015, securing a CGPA of 3.88 out of 4.00 (exam held in 2017). He earned his B.Sc. Engineering from the same department and university in 2014 with a CGPA of 3.82 (exam held in 2015). Prior to university, he achieved excellent academic results in his secondary and higher secondary education, scoring a GPA of 5.00 in HSC from Police Line’s School and College, Kushtia, and a GPA of 4.94 in SSC from Patachora Secondary School, Chuadanga, under the Jashore Education Board. Notably, his department was renamed to Electrical and Electronic Engineering in 2018.

Professional Experience 💼

Kabir began his academic career as a Lecturer in the Department of Computer Science and Engineering at Pundra University of Science and Technology in Bogura, where he served from May 2017 to February 2019. In February 2019, he joined Jamalpur Science and Technology University as a Lecturer and was later promoted to Assistant Professor in February 2022. In April 2022, he took on the additional responsibilities of Chairman of the CSE department and Additional Director of the university’s ICT Cell. Throughout his academic career, he has maintained an active role in teaching, research, and university administration.

Research Interests 🔬

Md. Humaun Kabir’s research spans a diverse range of topics within computer science and engineering. His primary areas of interest include brain–computer interface (BCI), bioinformatics and biomedical engineering, signal and image processing, and machine learning. His work often explores the intersection of human cognition and machine intelligence, particularly through EEG-based applications and gesture recognition systems.

Awards and Honors🏆✨

Kabir has published a total of 25 scholarly articles, including 23 peer-reviewed journal papers and 2 conference proceedings. Many of his works have appeared in prestigious Q1 and Q2 journals such as Sensors, Mathematics, Applied Sciences, and IEEE Access. He has also demonstrated competence in English proficiency by achieving an IELTS score of Band 6.0 in October 2023. His contributions have been widely recognized within the academic community, both nationally and internationally.

Conclusion🌟

Md. Humaun Kabir stands out as an influential and emerging scholar in Bangladesh’s academic and research landscape. His dedication to teaching, commitment to interdisciplinary research, and leadership within his institution reflect a well-rounded professional with a promising future. His work not only contributes to theoretical advancements but also addresses practical challenges in technology and healthcare, positioning him as a researcher with both depth and societal relevance.

Publications 📚

🧠 Combining Deep Learning for Sign Language Recognition

📅 Date: April 2025
📘 Title: Combining state-of-the-art pre-trained deep learning models: A noble approach for Bangla sign language recognition using Max Voting Ensemble
📰 Journal: Systems and Soft Computing
🔗 DOI: 10.1016/j.sasc.2025.200230
👥 Authors: Md. Humaun Kabir, Abu Saleh Musa Miah, Md. Hadiuzzaman, Jungpil Shin

✋ Hand Gesture Recognition Review

📅 Date: 2024
📘 Title: A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
📰 Journal: IEEE Access
🔗 DOI: 10.1109/ACCESS.2024.3456436
👥 Authors: Jungpil Shin, Abu Saleh Musa Miah, Md. Humaun Kabir, Md. Abdur Rahim, Abdullah Al Shiam

🌱 Trie-PMS8 for Motif Search

📅 Date: 2024
📘 Title: Trie-PMS8: A trie-tree based robust solution for planted motif search problem
📰 Journal: International Journal of Cognitive Computing in Engineering
🔗 DOI: 10.1016/j.ijcce.2024.07.004
👥 Authors: Mohammad Hasan, Abu Saleh Musa Miah, Md. Humaun Kabir, Mahmudul Alam

🧠⚡ EEG-Based BCI System with Feature Selection

📅 Date: August 2024
📘 Title: Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain–Computer Interface System
📰 Journal: Sensors
🔗 DOI: 10.3390/s24154989
👥 Authors: Md. Humaun Kabir, Nadim Ibne Akhtar, Nishat Tasnim, Abu Saleh Musa Miah, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin

🌐 Neural Attention for English-Bangla Translation

📅 Date: April 2023
📘 Title: A Neural Attention-Based Encoder-Decoder Approach for English to Bangla Translation
📰 Journal: Computer Science Journal of Moldova
🔗 DOI: 10.56415/csjm.v31.04
👥 Authors: Abdullah Al Shiam, Sadi Md. Redwan, Md. Humaun Kabir, Jungpil Shin

🧬 EEG Motor Imagery Tasks & Feature Selection

📅 Date: April 2023
📘 Title: Investigating Feature Selection Techniques to Enhance the Performance of EEG-Based Motor Imagery Tasks Classification
📰 Journal: Mathematics
🔗 DOI: 10.3390/math11081921
👥 Authors: Md. Humaun Kabir, Shabbir Mahmood, Abdullah Al Shiam, Abu Saleh Musa Miah, Jungpil Shin, Md. Khademul Islam Molla

👤 Gender Recognition from Bangla Names

📅 Date: December 2022
📘 Title: Gender Recognition of Bangla Names Using Deep Learning Approaches
📰 Journal: Applied Sciences
🔗 DOI: 10.3390/app13010522
👥 Authors: Md. Humaun Kabir, Faruk Ahmad, Md. Al Mehedi Hasan, Jungpil Shin

📡 Patch Antenna Design at 3.3 GHz

📅 Date: August 2022
📘 Title: Design of Rectangular Microstrip Patch Antenna at 3.3 GHz Frequency for S-band Applications
📰 Journal: International Journal of Engineering and Manufacturing (IJEM)
👥 Author: Md. Humaun Kabir

🧾 Web-Based Student Registration System

📅 Date: April 2022
📘 Title: Web Based Student Registration and Exam Form Fill-up Management System for Educational Institute
📰 Journal: IJIEEB
👥 Author: Md. Humaun Kabir

🗓️ Smart Routine Management System

📅 Date: April 2022
📘 Title: Design and Implementation of Web-based Smart Class Routine Management System for Educational Institutes
📰 Journal: I. J. Education and Management Engineering
👥 Author: Md. Humaun Kabir

Yanbo Wu | Urban Economics | Young Researcher Award

Published on 08/04/202508/04/2025 by Innovation Technologist

Dr. Yanbo Wu | Urban Economics | Young Researcher Award

Shanghai University of Finance and Economics, China

Dr. Yanbo Wu is a researcher with a Ph.D. in Economics from the Shanghai University of Finance and Economics. His scholarly contributions span various domains including housing policy, household energy use, and subjective well-being. He has authored multiple peer-reviewed articles in high-impact journals such as Economic Analysis and Policy, Applied Economics Letters, PLOS One, Energy Reports, and Heliyon. Dr. Wu is also an active academic contributor beyond authorship, serving as a peer reviewer for over 60 manuscripts across numerous prestigious journals. His expertise and commitment to academic integrity have earned him a position as Academic Editor for PLOS One.

Publication Profile

Educational Background 🎓

Ph.D. in Economics
2023
Shanghai University of Finance and Economics, Shanghai, China
School of Public Economics and Administration
Master of Advanced Finance
2020 – 2023
Monash University, Melbourne, Australia
School of Business
Bachelor of Economics
2016 – 2020
Tongling University, Tongling, China
School of Finance

Professional Experience 💼

Academic Researcher & Author
Published in various journals (SCI, SSCI, SCOPUS) with work focused on the intersection of economics, energy, housing, and well-being.
Peer Reviewer
Reviewed manuscripts for more than 15 academic journals, with over 60 peer review assignments.
Academic Editor
PLOS One – Responsible for editorial decision-making and peer review coordination.

Research Interests 🔬

Housing policy and urban development
Household energy consumption
Residents’ subjective well-being
Social integration of rural migrants
Environmental economics
Public policy and human capital

Conclusion🌟

Dr. Yanbo Wu is a rising scholar in the fields of economics, housing studies, and energy policy. His international academic training, robust publication record, and active engagement as a reviewer and editor reflect his strong commitment to research excellence and interdisciplinary inquiry. His work contributes valuable insight into policy design and implementation for sustainable urban living and public well-being in China and beyond.

Publications 📚

🏙️ Land Use Tournaments and Urban Green Total Factor Productivity
📘 Economic Analysis and Policy (SSCI)
🔍 Urban Economics • Environmental Productivity
🌐 Does the Use of the Internet Enhance Residents’ Well-Being?
📙 Environment and Social Psychology (SCOPUS)
😊 Digital Life • Well-Being
🏡 The Land of Homesickness: The Impact of Homesteads on the Social Integration of Rural Migrants
📗 PLOS One (SCI)
🧩 Migration • Social Integration
👨‍🔬 Dynamic Evolution and Impact Mechanism of Human Capital Mismatch in Strategic Emerging Industries
📕 Heliyon (SCI)
🏭 Labor Economics • Industrial Policy
💡 The Effect of Building Electricity Consumption on Residents’ Subjective Well-Being: Evidence from China
🏢 Buildings (SCI)
⚡ Energy Use • Happiness
🏘️ The Impact of Building Clean Energy Consumption on Residents’ Subjective Well-Being
🏢 Buildings (SCI)
🌱 Sustainable Living • Well-Being
🏗️ Synergistic Evolution of Resilience and Efficiency in the Real Estate Industry
📘 Applied Economics Letters (SSCI)
🔧 Urban Resilience • Economics
🌍 Transfer Patterns and Driving Factors of China’s Energy Use in Trade
📙 Energy Reports (SCI)
🔄 Trade • Energy Flow • IO Analysis

Andrews Appiah | Plant Science | Best Researcher Award

Published on 08/04/202508/04/2025 by Innovation Technologist

Mr. Andrews Appiah | Plant Science | Best Researcher Award

Lecturer at Sunyani Technical University, Ghana

Andrews Appiah is a Ghanaian academic and researcher in the field of agriculture and plant breeding. With a strong background in general agriculture, crop genetics, and competency-based education, he currently serves as an Assistant Lecturer at the Department of General Agriculture, Sunyani Technical University. His expertise spans plant breeding, molecular diversity analysis, and sustainable crop production, and he has published in notable peer-reviewed journals. He is also actively involved in student mentorship, research development, and academic committee work.

Publication Profile

Educational Background 🎓

Diploma in Education (CBT Option)
Akenten Appiah-Menka University of Skill Training and Entrepreneurial Development (AAMUSTED), Kumasi, Ghana
(2021 – 2022)
MPhil in Plant Breeding
Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
(2018 – 2021)
BSc in Agriculture
Methodist University Ghana, Wenchi Campus
(2013 – 2016)
Higher National Diploma (HND) in General Agriculture
Sunyani Technical University (formerly Sunyani Polytechnic)
(2008 – 2011)
WASSCE
Drobo Senior High School, Ghana
(2003 – 2006)

Professional Experience 💼

Assistant Lecturer (2021–Present)
Department of General Agriculture, Sunyani Technical University
- Teaching, research, curriculum development
Research and Grantsmanship Committee Member (2022–Present)
Sunyani Technical University
Assistant Coordinator, Student Internships (2021–Present)
Sunyani Technical University
Principal Technician (2017–2021)
Sunyani Technical University
- Supervised student practicals, agricultural production, research assistantship
Senior Technician (2012–2017)
Sunyani Technical University
Tutor (2011–2012)
Ghana Education Service, Pentecost JHS, Sankore
Agricultural Extension Agent (2010–2011)
Ministry of Food and Agriculture (MoFA), Sene West District
Internships:
- Wenchi Farm and Research Institutes (Feb–Apr 2009)
- MoFA, Jaman South Municipal (June–Sept 2008)

Research Interests 🔬

Plant breeding and genetics (okra, cowpea)
Molecular and morphological diversity
Sustainable crop improvement
Quantitative genetics
Integrated pest management (e.g., neem oil efficacy)
Agricultural biotechnology and data analysis

Workshops Attended

CBT workshops by CTVET (2022–2024)
Bricks Agricultural Biotechnology Skills Camp, Russia
Research writing workshops (2022, 2017)
Plant breeding and genetics training with Texas A&M and Iowa State University
Poultry diseases and rice production workshops (MoFA)

Awards and Honors🏆✨

While specific awards were not listed, his multiple international publications, invited training programs, and CBT teaching recognition highlight his respected status in agricultural academia and training circles.

Conclusion🌟

Andrews Appiah is a dynamic and experienced agricultural scientist with a solid foundation in plant breeding, education, and practical fieldwork. His academic and technical journey from technician to assistant lecturer showcases his commitment to growth, research excellence, and capacity-building in Ghana’s agricultural sector. With strong analytical, teaching, and interpersonal skills, he continues to contribute to advancing sustainable agriculture and education.

Publications 📚

🧬 Owusu, E.Y., Kusi, F., Kena, A.W., Kassim, Y.B., Annor, B., Awuku, F.J., Attamah, P., Appiah, A., Lamini, S., Kuor, F., & Akromah, R.
Gains in genetic enhancement of early maturing advanced breeding lines of cowpea (Vigna unguiculata (L.) Walp)
Ecological Genetics and Genomics, 2025.
🔗 DOI: 10.1016/j.egg.2025.100339
🌿 Appiah, A., Akromah, R., Owusu, E.Y., & Addo, S.
Genetic variability, heritability, genetic advance and correlation studies for yield and its attributes in okra (Abelmoschus esculentus (L.) Moench)
📝 Euphytica (in press)
🧬 Appiah, A., Akromah, R., Kena, A.W., Annor, B., Amoah, S., & Owusu, E.Y.
Molecular and Morphological diversity among Ghanaian okra germplasm: An excellent breeding resource
📝 Ecological Genetics and Genomics (in press)
📘 MPhil Thesis:
Genetic diversity among a collection of okra (Abelmoschus esculentus L.) genotypes in Ghana using morphological and molecular markers
– KNUST, Ghana (2021)
📘 BSc Thesis:
Comparative effectiveness of commercial neem oil and synthetic insecticides (Karate) in the management of insect damage on cowpea
– Methodist University Ghana (2016)
📘 HND Dissertation:
The Impact of illegal chainsaw operations on forest fringed communities: A study at the Miremano Forest Reserve of Ghana
– Sunyani Technical University (2010)
🪴 Mensah, G.W.K., Appiah, A., Anorbor, E.C., & Anku, L.
Field evaluation of commercial neem oil in managing insect damage on cowpea in the Forest Zone of Ghana
Agricultural Science Research Journal, 7(11): 329–336
🔗 resjournals.com
📄 ISSN: 2026–6073

Mahmoud Elmarzouky | Accounting | Best Keynote Speaker

Published on 08/04/202508/04/2025 by Innovation Technologist

Dr. Mahmoud Elmarzouky | Accounting | Best Keynote Speaker

Senior Lecturer at University of St Andrews, United Kingdom

Dr. Mahmoud Elmarzouky is a distinguished Senior Lecturer in Accounting at the University of St Andrews, UK, with over 20 years of combined academic and professional experience. He has earned recognition for his excellence in teaching, receiving the Student Experience Excellence Lecturer Award in 2022. His work integrates both academic research and practical industry knowledge, especially through his earlier role as a Senior Tax Inspector in Egypt’s Ministry of Finance. Dr. Elmarzouky is widely published in top-tier journals and serves as an associate editor and reviewer for several leading academic journals. His research spans innovative applications of textual and semantic analysis in accounting and finance.

Publication Profile