Abdelmjid Bouazizi | Membrane Characterizations | Best Researcher Award

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Prof. Abdelmjid Bouazizi | Membrane Characterizations | Best Researcher Award

Professor at Moulay Ismail University, Morocco

Dr. Abdelmjid Bouazizi is an Assistant Professor of Mineral Chemistry at the Ecole Normale Supérieure (ENS), Moulay Ismail University, Meknes, Morocco. With a strong background in material chemistry and membrane technology, his work focuses on the development and application of ceramic membranes for environmental and industrial water treatment. He has collaborated with both academic institutions and industrial partners, contributing significantly to applied research in filtration, nanomaterials, and process engineering. Dr. Bouazizi is a published researcher with several scientific papers indexed in Scopus, Google Scholar, and ResearchGate.

Publication Profile 

Scopus

Orcid

Google Scholar

Educational Background 🎓

  • Ph.D. in Sciences and Techniques of Chemistry, Life and Environment
    2013–2018 – Faculty of Sciences and Technology, Hassan II University of Casablanca

    • Thesis: Development of TiO₂ and ZrO₂-based ceramic membranes for ultrafiltration and nanofiltration.

  • Master’s in Physic-Chemistry and Materials Analysis (PCMA)
    2011–2013 – Hassan II University of Casablanca

  • Bachelor’s Degree in Physical-Chemistry of Materials
    2009–2011 – Faculty of Sciences and Technology, Cadi Ayyad University, Marrakech

  • DEUST Diploma in Mathematics, Physics, Informatics, Chemistry (MPIC)
    2007–2009 – Faculty of Sciences and Technology Gueliz, Cadi Ayyad University

  • High School Baccalaureate in Mathematics
    2006–2007 – Cadi Ayyad High School, Marrakech

Professional Experience 💼

  • Assistant Professor (2021–Present)
    Ecole Normale Supérieure (ENS), Moulay Ismail University, Meknes

    • Courses: Mineral Chemistry, Solid Chemistry, Crystallography, Phase Diagrams

    • Teaching levels: Bachelor’s and Master’s degrees in Physics-Chemistry

  • Teaching Assistant (2016–2021)
    Faculty of Sciences and Techniques Mohammedia, Hassan II University

    • Focus: Membrane Processes, Water Hardness, Organic Matter Analysis

    • Supervised Master and Bachelor projects

  • Postdoctoral Researcher (2020–2021)
    Mohammed VI Polytechnic University (UM6P), Green Process Engineering Department

  • Industrial Internships & Technical Roles:

    • Lafarge Bouskoura (2013): Final-year project on cement strength

    • ONEE Laboratory (2010): Water treatment and quality assurance

    • CERPHOS/OCP Group (2008): Research on mineral phosphates

Research Interests 🔬

  • Development and characterization of ceramic membranes (UF, MF, NF)

  • Water treatment technologies and environmental remediation

  • Materials chemistry, nanomaterials synthesis (TiO₂, ZrO₂, hydroxyapatite)

  • Green process engineering and solid-state chemistry

  • Crystallography and membrane-based dye and nitrate removal

Awards and Honors🏆✨

  • Active contributor to indexed scientific journals (Scopus, Elsevier, Heliyon)

  • Research collaboration with industrial entities (e.g., Lafarge, ONEE, OCP)

  • Recognized for contributions to low-cost membrane technology for wastewater treatment

  • Multiple scientific publications co-authored with international researchers

Conclusion🌟

Dr. Abdelmjid Bouazizi is a multidisciplinary scientist bridging academia and industry through his work in material science and environmental engineering. His contributions to ceramic membrane development, coupled with his teaching experience and industrial collaborations, position him as a key figure in sustainable water treatment research in Morocco. He continues to mentor students and expand his research in green chemistry and advanced filtration systems.

Publications 📚

  • 📘 Flat ceramic microfiltration membrane based on natural clay and Moroccan phosphate for desalination and industrial wastewater treatment
    👨‍🔬 M. Mouiya, A. Abourriche, A. Bouazizi, A. Benhammou, Y. El Hafiane, …
    📄 Desalination, 427, 42–50 (2018).
    🔍 Cited by: 156

  • 🧪 Fabrication of low-cost ceramic ultrafiltration membrane made from bentonite clay and its application for soluble dyes removal
    👩‍🔬 S. Saja, A. Bouazizi, B. Achiou, H. Ouaddari, A. Karim, M. Ouammou, …
    📄 Journal of the European Ceramic Society, 40(6), 2453–2462 (2020).
    🔍 Cited by: 145

  • 🌊 Manufacturing of tubular ceramic microfiltration membrane based on natural pozzolan for pretreatment of seawater desalination
    🧑‍🔬 B. Achiou, H. Elomari, A. Bouazizi, A. Karim, M. Ouammou, A. Albizane, …
    📄 Desalination, 419, 181–187 (2017).
    🔍 Cited by: 137

  • ☢️ Removal of dyes by a new nano–TiO₂ ultrafiltration membrane deposited on low-cost support prepared from natural Moroccan bentonite
    🧪 A. Bouazizi, M. Breida, B. Achiou, M. Ouammou, J.I. Calvo, A. Aaddane, …
    📄 Applied Clay Science, 149, 127–135 (2017).
    🔍 Cited by: 123

  • 🧼 Elaboration and characterization of a new flat ceramic MF membrane made from natural Moroccan bentonite. Application to treatment of industrial wastewater
    👨‍🔬 A. Bouazizi, S. Saja, B. Achiou, M. Ouammou, J.I. Calvo, A. Aaddane, …
    📄 Applied Clay Science, 132, 33–40 (2016).
    🔍 Cited by: 121

  • 🏭 Elaboration and characterization of low-cost ceramic membrane made from natural Moroccan perlite for treatment of industrial wastewater
    👩‍🔬 S. Saja, A. Bouazizi, B. Achiou, M. Ouammou, A. Albizane, J. Bennazha, …
    📄 Journal of Environmental Chemical Engineering, 6(1), 451–458 (2018).
    🔍 Cited by: 114

  • ⚗️ Development of a new TiO₂ ultrafiltration membrane on flat ceramic support made from natural bentonite and micronized phosphate and applied for dye removal
    🧪 A. Bouazizi, M. Breida, A. Karim, B. Achiou, M. Ouammou, J.I. Calvo, …
    📄 Ceramics International, 43(1), 1479–1487 (2017).
    🔍 Cited by: 110

  • 🍌 Fabrication and characterization of a ceramic membrane from clay and banana peel powder: Application to industrial wastewater treatment
    👨‍🔬 M. Mouiya, A. Bouazizi, A. Abourriche, A. Benhammou, Y. El Hafiane, …
    📄 Materials Chemistry and Physics, 227, 291–301 (2019).
    🔍 Cited by: 106

  • 🧊 Preparation of inexpensive NaA zeolite membrane on pozzolan support at low temperature for dehydration of alcohol solutions
    👨‍🔬 B. Achiou, D. Beqqour, H. Elomari, A. Bouazizi, M. Ouammou, M. Bouhria, …
    📄 Journal of Environmental Chemical Engineering, 6(4), 4429–4437 (2018).
    🔍 Cited by: 57

  • 💧 Enhancement of microfiltration performances of pozzolan membrane by incorporation of micronized phosphate and its application for industrial wastewater treatment
    🧪 D. Beqqour, B. Achiou, A. Bouazizi, H. Ouaddari, H. Elomari, M. Ouammou, …
    📄 Journal of Environmental Chemical Engineering, 7(2), 102981 (2019).
    🔍 Cited by: 56

 

 

 

James Adolphus | Environmental Policy | Best Researcher Award

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Mr. James Adolphus | Environmental Policy | Best Researcher Award

Researcher at University of Lapland, Finland

Adolphus James is a Junior Researcher at LUT Business School, Lappeenranta-Lahti University of Technology (LUT), Finland. Currently pursuing a PhD in Business and Economics, his work focuses on the intersection of institutional quality, sustainable development, inequality, and innovation. His research combines advanced econometric modeling with cross-country analysis to explore clean energy investments and institutional dynamics in the context of sustainable transitions. James has contributed to international workshops and research communities and is particularly skilled in Method of Moments Quantile Regression (MMQR) and panel data analysis.

Publication Profile 

Orcid

Educational Background 🎓

PhD in Business and Economics (In Progress)
Lappeenranta-Lahti University of Technology (LUT), Finland

  • Research Focus: Institutional Quality, Sustainable Development, Inequality, and Innovation

Professional Experience 💼

Junior Researcher
LUT Business School – Strategy and Accounting Group

  • Conducts empirical research on institutional quality, clean energy, and sustainable development

  • Applies advanced econometric techniques including MMQR and PGLS

  • Collaborates on international projects examining institutional dynamics and sustainable transitions

Research Interests 🔬

  • Institutional Economics and Development

  • Sustainable Energy and Environmental Economics

  • Inequality and Social Welfare Measurement

  • Quantile Regression and Panel Data Econometrics

Conferences & Workshops

  • Presenter, International Workshop & Summer School on The Political Economy of Green-Digital Transition (June 2024)

    • Presented: The Role of Institutional Quality in Sustainable Development

  • Participant, Institutional and Organizational Economics Academy (IOEA), Université Côte d’Azur, France

    • Engaged in institutional theory, seminars, and applied economics

Technical Skills

  • Econometrics: MMQR, PGLS, Instrumental Variables (IV) Estimation

  • Software: R, Stata, MATLAB

  • Data Expertise: World Bank datasets (WGI, WDI), Panel Data Analysis

Languages

  • English (Fluent)

  • Finnish (Basic)

Awards and Honors🏆✨

  • Selected participant at the prestigious Institutional and Organizational Economics Academy (IOEA)

  • Presenter at International Workshop on The Political Economy of Green-Digital Transition

Conclusion🌟

Adolphus James is an emerging scholar in institutional and environmental economics with a strong analytical background and international academic exposure. His research contributes to the global discourse on sustainable development, with a quantitative lens on how institutional quality influences inequality, innovation, and environmental outcomes. As he continues his doctoral work, he remains actively engaged with the academic community through publications, workshops, and collaborative research.

Publications 📚

📘 Title: The Effect of Institutions on Clean Energy Investments and Environmental Degradation Across Income Groups: Evidence Based on the Method of Moments Quantile Estimation
📰 Journal: Energy
📅 Publication Date: June 2025
✍️ Authors: James Adolphus, Heli Arminen, Tiia-Lotta Pekkanen
🔗 DOI: 10.1016/j.energy.2025.136018
📚 Source: Crossref

Chongwei Wang | Chemical Engineering | Best Researcher Award

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Mr. Chongwei Wang | Chemical Engineering | Best Researcher Award

Doctor student at South China University of Technology, China

Chongwei Wang is a researcher at the School of Chemistry and Chemical Engineering, South China University of Technology, specializing in clathrate hydrate-based energy storage and gas separation. His work focuses on innovative methods for gas capture and storage, particularly in utilizing clathrate hydrates for high-purity carbon dioxide separation from gas mixtures. Wang has co-authored publications in prestigious journals, contributing to advancements in sustainable energy and separation technologies.

Publication Profile 

Scopus

Educational Background 🎓

  • Institution: South China University of Technology
    Field: Chemistry and Chemical Engineering
    Degree(s): [Not specified—please provide MSc/PhD details if available]

Professional Experience 💼

  • Position: Researcher (exact title not specified)

  • Institution: School of Chemistry and Chemical Engineering, South China University of Technology

  • Location: Guangzhou, China

  • Research Area: Clathrate hydrate-based energy storage and gas separation

  • Research Role: Conducting experimental and theoretical work on hydrate-based CO₂ capture and gas separation technologies

Research Interests 🔬

  • Clathrate hydrate formation and application

  • Gas separation technologies (especially CO₂/H₂ mixtures)

  • Energy storage systems based on hydrate structures

  • Thermodynamics and phase equilibria in fluid systems

  • Sustainable and low-energy gas capture methodologies

Conclusion🌟

Chongwei Wang is an emerging researcher in the field of hydrate-based energy and separation science, with impactful contributions to novel gas separation methods. His work on utilizing guanidinium sulfate clathrate demonstrates a promising pathway for efficient and selective CO₂ capture, contributing to both academic knowledge and potential industrial application in clean energy systems.

Publications 📚

  • 🧵❄️ Wang, Chongwei, Dong, Hongsheng, Cheng, Chuanxiao, Jin, Tingxiang, & Shi, Quan.
    Flexible and Biocompatible Silk Fiber-Based Composite Phase Change Material for Personal Thermal Management
    ACS Sustainable Chemistry & Engineering, 2022.
    🔗 [DOI / Link if available]
    🧪 Focus: Sustainable personal thermal regulation using biocompatible silk-based materials.

  • 🧊🌱 Wang, Chongwei, Fan, Shuanshi, Wang, Yanhong, Lang, Xuemei, & Li, Gang.
    High purity carbon dioxide captured with guanidinium sulfate clathrate from carbon dioxide/hydrogen mixtures
    Fluid Phase Equilibria, 2025, 592, 114336.
    🔬 Focus: Clathrate hydrate technology for efficient CO₂ separation.

Zeenat Khadim Hussain | Photogrammetry | Best Researcher Award

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Ms. Zeenat Khadim Hussain | Photogrammetry | Best Researcher Award

PhD Researcher at Wuhan University, Pakistan

Zeenat Khadim Hussain is a committed PhD researcher at the School of Remote Sensing and Information Engineering, Wuhan University, China. Her research specializes in combining deep learning methodologies with photogrammetry and remote sensing to tackle real-world environmental and urban sustainability challenges. With published work in top-tier journals, she focuses on rooftop extraction, solar energy assessment, and building detection from geospatial data. She also actively contributes to global development projects such as flood resilience planning in Pakistan.

Publication Profile 

Orcid

Educational Background 🎓

  • PhD in Photogrammetry and Remote Sensing
    Wuhan University, China
    Status: Ongoing
    (Note: Earlier degrees not provided; can be added if available)

Professional Experience 💼

  • PhD Researcher, Wuhan University
    Conducting advanced research on urban mapping, solar resource assessment, and geospatial data analysis using artificial intelligence techniques.

  • Consultant/Research Contributor, Pakistan Flood Emergency Reconstruction and Resilience Project
    Applied remote sensing techniques for post-disaster analysis and strategic recovery planning.

Research Interests 🔬

  • Remote Sensing

  • Deep Learning

  • Photogrammetry

  • Urban Mapping

  • Solar Energy Assessment

  • Disaster Risk Management

Contributions & Research Achievements

  • Publications:

    • 6 articles published in SCI and Scopus-indexed journals.

    • Notable work: “A Novel Architecture for Building Rooftop Extraction Using Remote Sensing and Deep Learning” in Remote Sensing Applications: Society and Environment.

  • Projects:

    • Sentinel-2 Based Solar Irradiance Estimation

    • Urban Building Footprint Extraction Using Remote Sensing

    • Deep Learning-based Rooftop Solar Assessment

  • Industry/Field Work:

    • Geospatial consultancy on disaster recovery in Pakistan

Conclusion🌟

Zeenat Khadim Hussain is a rising researcher in geospatial science whose work bridges innovation and real-world impact. Her deep learning-enhanced remote sensing research addresses global issues like urban energy efficiency and disaster resilience. Through her academic rigor and applied contributions, she has demonstrated both technical expertise and societal commitment, making her a strong candidate for recognition in research excellence awards.

Publications 📚

  • 🛰️ Spatiotemporal Optimization for Communication-Navigation-Sensing Collaborated Emergency Monitoring
    International Journal of Digital Earth, 📅 2025-12-31
    🔗 DOI: 10.1080/17538947.2025.2475517
    👥 Authors: Xicheng Tan, Bocai Liu, Chaopeng Li, Zeenat Khadim Hussain, Kaiqi Wang, Kai Wang, Mengyan Ye, Danyang Yang, Zhiyuan Mei

  • 🏠 A Novel Architecture for Building Rooftop Extraction Using Remote Sensing and Deep Learning
    Remote Sensing Applications: Society and Environment, 📅 2025-04
    🔗 DOI: 10.1016/j.rsase.2025.101551
    👥 Authors: Zeenat Khadim, Jiang Congshi, Muhammad Adrees, Hamza Chaudhary, Rafia Shafqat

  • 📡 3D Spatial Evolutionary Particle Swarm Algorithm Based Emergency Communication Spatial Deployment Optimization
    Geo-spatial Information Science, 📅 2025-03-11
    🔗 DOI: 10.1080/10095020.2025.2472006
    👥 Authors: Yumin Chen, Xicheng Tan, Jinguang Jiang, Xiaoliang Meng, Zeenat Khadim Hussain, Jianguang Tu, Huaming Wang, You Wan, Zongyao Sha

  • 🌿 Exploring Rangeland Dynamics in Punjab, Pakistan: Integrating LULC, LST, and Remote Sensing for Ecosystem Analysis (2000–2020)
    Rangeland Ecology & Management, 📅 2024-10
    🔗 DOI: 10.1016/j.rama.2024.09.008
    👥 Authors: Li Feng, Iram Naz, Abdul Quddoos, Zeeshan Zafar, Menglan Gan, Muhammad Aslam, Zeenat Khadim Hussain, Walid Soufan, Khalid F. Almutairi

  • 🚗 LCEVES: A Locally Constrained Evolutionary Algorithm for Vehicle Evacuation Scheduling Under Urban Waterlogging Risk
    Transactions in GIS, 📅 2024-08
    🔗 DOI: 10.1111/tgis.13196
    👥 Authors: Luowen Rao, Xicheng Tan, Yanfei Zhong, Chunhui Chen, Zeenat Khadim Hussain, Ailong Ma, Huamin Wang, Shengpeng Yin, Fangyu Liu, Zhiyuan Mei

  • 🚁 DDPG-Based Spatiotemporal Dynamic Deployment Optimization of Air-Ground Ad Hoc Network for Disaster Emergency Response
    International Journal of Applied Earth Observation and Geoinformation, 📅 2024-04
    🔗 DOI: 10.1016/j.jag.2024.103708
    👥 Authors: Yuhui Zeng, Xicheng Tan, Moquan Sha, Zeenat Khadim Hussain, Tongliang Lin, Jianguang Tu, Huamin Wang, Bocai Liu, Chaopeng Li, Fang Huang et al.

  • 🏗️ A Comparative Study of PP-LiteSeg, Dual Attention Network, DeeplabV3p and Asymmetric Neural Network for Rooftop Detection in UAV Images
    📅 2024-04-10
    🔗 DOI: 10.20944/preprints202404.0705.v1
    👥 Authors: Zeenat Khadim Hussain, Jiang Congshir, Yuan Xin Xin, Muhammad Raza e Mustafa

  • ⚙️ A Fast Rooftop Extraction Deep Learning Method Based on PP-LiteSeg for UAV Imagery
    2023 International Conference on Artificial Intelligence and Automation Control (AIAC), 📅 2023-11-17
    🔗 DOI: 10.1109/aiac61660.2023.00005
    👥 Authors: Huiqing Xu, Chengxiong Li, Yusheng Liu, Guangzhe Shao, Zeenat Khadim Hussain

Ilse Hagerer | Research and Science Management | Best Researcher Award

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Dr. Ilse Hagerer | Research and Science Management | Best Researcher Award

Postdoc at Technical University of Munich, Germany

Ilse Karoline Hagerer is a highly motivated postdoctoral researcher specializing in higher education organization, digital transformation, diversity management, and science management. With a Ph.D. in Economics and Business Administration, her work focuses on organizational change, leadership development, and digitalization within academia. She has held multiple academic and administrative roles at renowned institutions such as Osnabrück University and the Technical University of Munich (TUM). Hagerer is also an experienced lecturer and project leader, known for her contributions to research, teaching, and diversity initiatives in higher education.

Publication Profile 

Orcid

Educational Background 🎓

  • 2024–2026: Science Management Training, TUM Career Design

  • 2015–2021: Ph.D. in Economics and Business Administration, Osnabrück University

    • Dissertation on organizational change in German universities post-New Public Management reforms

  • 2011–2014: M.Sc. in Economics and Business Administration, FernUniversität Hagen

    • Graduated among top 10%

  • 2008–2011: B.Sc. in Economics and Business Administration, FernUniversität Hagen

  • 2002–2007: Magistra Artium in German Philology, Philosophy, and Sociology, LMU Munich

  • 1992–2001: Abitur, Maximiliansgymnasium München

Professional Experience 💼

  • Since 2022: Postdoc / Research Assistant, Chair of Research and Science Management, TUM

    • Focus: Diversity & AI, digitalization, mentoring programs, thesis supervision

  • 2020–2022: Postdoc / Research Assistant, Chair of Strategy and Organization, TUM

    • Project leadership: MINT@Work, PlayMINT

    • Teaching: Project Management, Career Design, Strategy & Org., thesis seminars

  • 2015–2020: Lecturer / Research Associate, Osnabrück University

    • Taught organizational studies and academic skills

    • Coordinated interuniversity network (ATLANTIS), tutorials, and faculty council duties

  • 2010–2011: Marketing & Sales Manager, Verlagshaus GeraNova Bruckmann

  • 2009–2010: Trainee in Strategic Procurement, Daiichi Sankyo Europe

  • 2008: Legal Assistant, Baker & McKenzie

  • 2006: Tutor for Empirical Research Methods, LMU Munich

Research Interests 🔬

  • Higher education management and reform

  • Organizational learning and structure

  • Diversity and inclusion in academia

  • Digital transformation in science and education

  • Leadership and career development in STEM

  • AI bias and ethical digitalization

Awards and Honors🏆✨

  • Mentee of Prof. Dr. Georg Krücken in the mentoring program of the GfHf (Society for Higher Education Research)

  • DFG-funded project (2024–2026): Digital transformation in higher education

    • €667,573 total funding, with €377,478 own contribution

  • BMWi-funded project (2021): Corporate purpose in SMEs

    • €366,361 total funding, €124,086 own contribution

  • BMBF-funded project (2021): H2-Reallabor Burghausen / ChemDelta Bavaria

    • €420,000 own contribution in a €39 million initiative

Conclusion🌟

Ilse Karoline Hagerer is a distinguished academic professional bridging research, education, and practice in the domains of organizational development, digital change, and diversity management. Her multidisciplinary background, hands-on project leadership, and substantial publication record establish her as a forward-thinking contributor to academic innovation. With a firm foundation in both humanities and economics, she continues to shape the future of science management and higher education policy.

Publications 📚

  • 🆕 PlayMINT—an effective digital learning game for leadership competencies of female STEM students
    Computers and Education Open, 2025-06
    DOI: 10.1016/j.caeo.2025.100256
    Author: Ilse Hagerer

  • Digitale Transformation im Wissenschaftsmanagement
    Personal in Hochschule und Wissenschaft entwickeln 2, 2024-05-28
    Author: Ilse Hagerer

  • It is still about bureaucracy in German faculties
    Tertiary Education and Management, 2022-12
    DOI: 10.1007/s11233-022-09112-9
    Author: Ilse Hagerer

  • Universities act differently: identification of organizational effectiveness criteria for faculties
    Tertiary Education and Management, 2019-05-18
    DOI: 10.1007/s11233-019-09031-2
    Author: Ilse Hagerer

  • 🧠 Diversity bias in artificial intelligence
    The Digital and AI Coaches’ Handbook, 2024-06-28
    DOI: 10.4324/9781003383741-23
    Authors: Eva Gengler, Ilse Hagerer, Alina Gales

  • 🎮 PlayMINT: Still Playing or Already Leading?
    13th International Conference on Game Based Learning (ECGBL), 2020-09-24
    ISBN: 9781912764709
    Author: Ilse Hagerer

  • 🏛️ What Matters Most for German Faculty Management: Identifying Contextual Factors of Faculty Organization
    PACIS 2020 Proceedings. 65., 2020-06-22
    Author: Ilse Hagerer

  • 🏗️ Faculty management after higher education reforms
    6th International Conference on Higher Education Advances (HEAd’20), 2020-06-02
    DOI: 10.4995/head20.2020.11239
    Author: Ilse Hagerer

  • 🏛️ German Universities as Actors in Organizational Design – A Qualitative Study
    HEAD 2019 Conference, 2019-06-26
    DOI: 10.4995/HEAD19.2019.9333
    Authors: Ilse Hagerer, Uwe Hoppe

  • 💻 Analysis of the use of digital media to design a blended learning environment
    IMSCI 2017 – International Multi-Conference on Society, Cybernetics and Informatics, 2017
    EID: 2-s2.0-85034245846
    Authors: K. Vogelsang, I. Hagerer, K. Liere-Netheler, U. Hoppe

Stefano Galantucci | Cybersecurity | Best Researcher Award

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Dr. Stefano Galantucci | Cybersecurity | Best Researcher Award

Adjunct Professor (Lecturer) at University of Bari Aldo Moro, Italy

Dr. Stefano Galantucci is a cybersecurity researcher and academic affiliated with the University of Bari Aldo Moro, Italy. Born on October 28, 1996, he holds a Ph.D. in Computer Science and specializes in network security, cryptography, malware detection, and firewall optimization. With extensive experience in teaching, research, and publication, Dr. Galantucci is an active contributor to both academic and applied cybersecurity communities.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • 2024 – Ph.D. in Computer Science,
    University of Bari Aldo Moro
    – XXXVIth cycle, focus on cybersecurity and computer science research.

  • 2020 – Master’s Degree (MSc) in Cybersecurity,
    University of Bari “Aldo Moro”
    – Graduated cum laude with honors and special mention by the commission.

  • 2018 – Bachelor’s Degree (BSc) in Computer Science,
    University of Bari “Aldo Moro”
    – Graduated cum laude.

Professional Experience 💼

  • 2024–Present – Research Fellow,
    University of Bari Aldo Moro
    – Working on the FAIR project.

  • 2023–Present – Examination Board Member,
    University of Bari Aldo Moro
    – Courses: Biometric Systems, Application Security, Computer Architecture & OS.

  • 2023 – Adjunct Professor (CyberChallenge Course),
    University of Bari Aldo Moro
    – Taught Cryptography and Hardware Security (24 hours, 2 ECTS).

  • 2022–Present – Adjunct Professor of Cryptography,
    MSc in Cybersecurity, University of Bari Aldo Moro
    – 6 ECTS (62 hours).

  • 2021–Present – Member, ISLab Research Group,
    University of Bari Aldo Moro
    – Cybersecurity contact person.

Research Interests 🔬

  • Cryptography and hardware security

  • Malware detection and classification

  • Network intrusion detection (NIDS)

  • Firewall policy optimization

  • Anomaly detection and AI-driven threat detection

  • DevSecOps and secure software development practices

  • Blockchain analysis

  • Adversarial neural networks in security (e.g., GANs)

Awards and Honors🏆✨

  • Special mention by the MSc degree commission (2020)

  • Full marks and honors in both MSc and BSc degrees

Conclusion🌟

Dr. Stefano Galantucci is a dynamic and accomplished researcher in the field of cybersecurity, with a strong academic background, diverse teaching experience, and a rich portfolio of high-impact publications. His work bridges theoretical foundations and real-world applications, particularly in cryptography, malware detection, and network defense systems. A respected member of the research community, Dr. Galantucci actively contributes to scientific progress through both his scholarly output and his involvement in peer review for top-tier journals. With his growing influence and commitment to innovation, he stands out as a promising leader in the evolving landscape of cybersecurity research.

Publications 📚

  • 🔐 CARIOCA: Prioritizing the Use of IoC by Threats Assessment Shared on the MISP Platform
    📘 International Journal of Information Security, 2025-04
    [DOI: 10.1007/s10207-025-01006-2]
    👥 Piero Delvecchio, Stefano Galantucci, Andrea Iannacone, Giuseppe Pirlo

  • 🧮 FOBICS: Assessing Project Security Level through a Metrics Framework that Evaluates DevSecOps Performance
    📘 Information and Software Technology, 2025-02
    [DOI: 10.1016/j.infsof.2024.107605]
    👥 Alessandro Caniglia, Vincenzo Dentamaro, Stefano Galantucci, Donato Impedovo

  • 🛡️ PROGESI: A PROxy Grammar to Enhance Web Application Firewall for SQL Injection Prevention
    📘 IEEE Access, 2024
    [DOI: 10.1109/ACCESS.2024.3438092]
    👥 Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

  • 🌐 Automatic Decision Tree-Based NIDPS Ruleset Generation for DoS/DDoS Attacks
    📘 Journal of Information Security and Applications, 2024-05
    [DOI: 10.1016/j.jisa.2024.103736]
    👥 Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

  • 🧬 YAMME: A YAra-byte-signatures Metamorphic Mutation Engine
    📘 IEEE Transactions on Information Forensics and Security, 2023
    [DOI: 10.1109/TIFS.2023.3294059]
    👥 Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

  • 🧠 Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction
    📘 Applied Sciences, 2022-02
    [DOI: 10.3390/app12031645]
    👥 Angelo Cannarile, Vincenzo Dentamaro, Stefano Galantucci, Andrea Iannacone, Donato Impedovo, Giuseppe Pirlo

  • 💰 BACH: A Tool for Analyzing Blockchain Transactions Using Address Clustering Heuristics
    📘 Information, 2024-09-26
    [DOI: 10.3390/info15100589]
    👥 Michele Caringella, Francesco Violante, Francesco De Lucci, Stefano Galantucci, Matteo Costantini

  • 🔑 One Time User Key: A User-Based Secret Sharing XOR-ed Model for Multiple User Cryptography
    📘 IEEE Access, 2021
    [DOI: 10.1109/ACCESS.2021.3124637]
    👥 Stefano Galantucci, Donato Impedovo, Giuseppe Pirlo

  • 📉 Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection
    📘 Applied Sciences, 2022-02
    [DOI: 10.3390/app12031759]
    👥 Francesco Carrera, Vincenzo Dentamaro, Stefano Galantucci, Andrea Iannacone, Donato Impedovo, Giuseppe Pirlo

  • 📈 Ensemble Consensus: An Unsupervised Algorithm for Anomaly Detection in Network Security Data
    📄 CEUR Workshop Proceedings, 2021
    👥 Vincenzo Dentamaro, V.N. Convertini, Stefano Galantucci, P. Giglio, T. Palmisano, Giuseppe Pirlo

  • 🧭 A Case Study of Navigation System Assistance with Safety Purposes in the Context of Covid-19
    📘 Lecture Notes in Computer Science, 2021
    [DOI: 10.1007/978-3-030-85607-6_35]
    👥 Galantucci, S.; Giglio, P.; Dentamaro, V.; Pirlo, G.

  • 🔥 Firewall Optimization: An Innovative Two-Stage Algorithm to Optimize Firewall Rule Ordering
    📘 Computers & Security, 2023-11
    [DOI: 10.1016/j.cose.2023.103423]
    👥 Antonio Coscia, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, Giuseppe Pirlo

Guojun Wu | Civil Engineering | Best Researcher Award

Posted on by sciencefather

Mr. Guojun Wu | Civil Engineering | Best Researcher Award

Professor at Chinese Academy of Sciences, China

Professor Guojun Wu is a distinguished researcher in geotechnical and underground engineering, serving at the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences in Wuhan, China. With over two decades of impactful academic and industry contributions, he specializes in underground engineering disaster mechanisms and support control technologies. He has led 14 completed and 3 ongoing research projects, authored 78 peer-reviewed publications, published 4 books, and holds 37 patents (with 4 pending). He actively contributes to the advancement of tunnel safety and sustainable underground infrastructure development.

Publication Profile 

Scopus

Educational Background 🎓

  • Bachelor’s Degree (2001): Engineering Mechanics, Wuhan University, China

  • Master’s Degree (2003–2006): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

  • Ph.D. Degree (2006–2009): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

Professional Experience 💼

  • Current Position: Professor, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences

  • Editorial Roles:

    • Editorial Board Member, International Journal of Mining Science and Technology

    • Guest Editor, Advances in Civil Engineering

  • International Collaboration:

    • Research on Boom Clay with Belgian Nuclear Research Center

    • Visiting Scholar at Lorrain University, France

  • Consultancy Projects: Led 6 industry projects

  • Professional Affiliations:

    • Director, Underground Engineering Branch, Chinese Society of Rock Mechanics and Engineering

    • Director, Hubei Underground Engineering Society

Research Interests 🔬

  • Geotechnical Engineering

  • Underground Engineering

  • Tunnel Safety and Deformation Control

  • Rock Mechanics

  • Dynamic Stress Testing

  • Support Control Technologies for Steeply Inclined and Squeezing Rock Tunnels

Awards and Honors🏆✨

  • Nominee for the Global Innovation Technologist Awards – Best Researcher Award

  • Recognized for proposing the dynamic stress testing method for soft rock and a buffer support design method for asymmetric deformation in tunnels, both adopted in deep coal mine projects.

Conclusion🌟

Professor Guojun Wu stands as a leading figure in the field of underground geotechnical engineering, with innovations that have significantly improved safety and design in high-risk environments. His extensive publication record, interdisciplinary collaborations, and patented technologies position him as a prime candidate for the Best Researcher Award. His work demonstrates practical impact, academic rigor, and global collaboration, making him an invaluable contributor to civil engineering and underground infrastructure sciences.

Publications 📚

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2025). Laboratory model tests and unstable collapse analysis of SPB shield machine tunnelling in saturated sand. Tunnelling and Underground Space Technology.
📌 Focus: Collapse behavior during shield machine tunneling in saturated sand.

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Huo, M., Chen, W., Yuan, J., Li, Y., & Liu, Y. (2025). Experimental investigation and limit analysis of shield tunnel face failure mechanism in sand. Underground Space (China).
📌 Focus: Tunnel face failure mechanism under sandy conditions.

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Wen, C., Jia, S., Fu, X., & He, H. (2025). Semi-analytical assessment of dynamic sealing capacity of underground gas storage: A case of Songliao Basin, Northeastern China. Journal of Rock Mechanics and Geotechnical Engineering.
📌 Focus: Sealing effectiveness in underground gas reservoirs.

🔬 Journal Article | 🗓️ 2025 | 🔢 1 citation
Yu, J., Zhang, Z., Wu, G., Li, X., & Tian, H. (2025). Investigation on asymmetric dynamic response characteristics of anchored surrounding rock under blasting excavation of inclined layered rock tunnel. Canadian Geotechnical Journal.
📌 Focus: Response of surrounding rock under dynamic blasting loads.

🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Shu, X., Chen, W., Qiu, X., Wu, G., & Tian, Y. (2024). Anchorage mechanism and parametric analysis of a novel interface-shear-stress-dispersing bolt. Tunnelling and Underground Space Technology.
📌 Focus: New bolt design for stress dispersion in tunneling.

🔬 Journal Article | 🗓️ 2024 | 🔢 2 citations
Li, Y., Wu, G., Chen, W., Huo, M., & Liu, Y. (2024). Laboratory experimental study of the forming and failure mechanisms of soil arching during EPBS tunnelling in sand. Engineering Failure Analysis.
📌 Focus: Soil arching effects during Earth Pressure Balance Shield (EPBS) tunneling.

🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2024). Influence of confined water on the limit support pressure of tunnel face in weakly water-rich strata. Journal of Central South University.
📌 Focus: Impact of water content on tunnel face stability.

Yi Sun | Information Security | Best Researcher Award

Posted on by sciencefather

Dr. Yi Sun | Information Security | Best Researcher Award

Associate Professor at Beijing University of Posts and Telecommunications, China

Dr. Yi Sun is an Associate Professor at the School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, China. She is a prominent researcher in the field of information security with a focus on cryptography, secure multi-party computation, blockchain, and big data security. With a strong presence in international collaborations, over 150 journal publications, 170+ patent applications, and numerous honors, Dr. Sun has established herself as a global leader in cybersecurity and privacy computing.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Computer Science
    Institution: State Key Laboratory of Network and Switching Technology, Beijing University of Posts and Telecommunications
    Graduation Date: June 2015

Professional Experience 💼

  • Associate Professor
    School of Computer Science, Beijing University of Posts and Telecommunications (Since July 2015)

    • Oversees national and international research and industry projects (100+ including National 863, Key R&D, and enterprise-funded).

    • Editorial roles in reputed journals and reviewer for SCI-indexed publications.

    • Active participation in organizing and chairing major international conferences such as IEEE GLOBECOM, ICME, DSC, CAIML, CNCIS, ICAIIC, etc.

Research Interests 🔬

  • Cryptography

  • Network Security

  • Secure Multi-party Computation

  • Blockchain Technology

  • Big Data Security

  • Privacy-Preserving Computation

  • RISC-V Processor Security

Awards and Honors🏆✨

  • Top 10 Pioneers of Privacy Computing (2022)

  • Excellent Scientific Research Teacher, Ministry of Education’s Class B Laboratory

  • Excellent Instructor, 7th China International “Internet+” Innovation and Entrepreneurship Competition (2021)

  • Outstanding Instructor, C4 Network Technology Challenge (2023)

  • Excellent Paper, 2023 “Academic Achievements in Frontier IoT in the Capital”

  • 4 ESI Highly Cited Papers

  • Multiple honors for academic and research excellence

Conclusion🌟

Dr. Yi Sun’s career is marked by groundbreaking research, high-impact publications, and international collaboration. Her work in information security has led to real-world applications in secure computing and microarchitecture protection. Through her extensive publication record, editorial contributions, and successful leadership in over 100 research and industrial projects, she has played a critical role in shaping the future of cybersecurity technologies. Dr. Sun’s achievements and accolades make her a highly deserving candidate for the Best Researcher Award.

Publications 📚

📄 Article:
Title: ADPF: Anti-inference differentially private protocol for federated learning
👨‍🔬 Authors: Zhao, Zirun; Lin, Zhaowen; Sun, Yi
📚 Journal: Computer Networks
📅 Year: 2025
🔢 Citations: 0

📄 Article:
Title: A combined side-channel and transient execution attack scheme on RISC-V processors
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: Computers and Security
📅 Year: 2025
🔢 Citations: 0

📄 Article:
Title: Improved twin support vector machine algorithm and applications in classification problems
👨‍🔬 Authors: Sun, Yi; Wang, Zhouyang
📚 Journal: China Communications
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: AdaDpFed: A Differentially Private Federated Learning Algorithm with Adaptive Noise on Non-IID Data
👨‍🔬 Authors: Zhao, Zirun; Sun, Yi; Bashir, Ali Kashif; Lin, Zhaowen
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 7

📄 Article:
Title: BTIDEC: A Novel Detection Scheme for CPU Security of Consumer Electronics
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: Ins Finder: A Practical CPU Undocumented Instruction Detection Framework
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: Journal of Circuits, Systems and Computers
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: KeyLight: Intelligent Traffic Signal Control Method Based on Improved Graph Neural Network
👨‍🔬 Authors: Sun, Yi; Lin, Kaixiang; Bashir, Ali Kashif
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 6

Amreen Shafique | Software Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Amreen Shafique | Software Engineering | Best Researcher Award

Phd Scholar at Dalian University of Technology, China

Amreen Shafique is a dedicated Ph.D. scholar in Software Engineering at Dalian University of Technology, China. She has a strong academic background in computer science, complemented by practical teaching experience and a growing publication record in artificial intelligence and cybersecurity. Passionate about research and innovation, she aims to contribute to cutting-edge technologies such as Explainable AI, deep learning, and software-defined networking. Her analytical mindset, programming skills, and commitment to academic excellence define her professional identity.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctor of Philosophy (Ph.D.) in Software Engineering
    Dalian University of Technology, China
    2022 – Ongoing

  • Master of Science (MS) in Computer Science
    Mohi-ud-din Islamic University, Azad Kashmir, Pakistan
    2016 – 2018
    CGPA: 3.16 / 4.00

  • Bachelor of Science (BS) in Computer Science
    The University of Azad Jammu and Kashmir, Pakistan
    2007 – 2011
    CGPA: 2.72 / 4.00

Professional Experience 💼

  • Lecturer, Computer Science
    University of Kotli, Azad Kashmir, Pakistan
    2018 – 2022
    Delivered undergraduate courses, guided student projects, and participated in curriculum development.

  • Lecturer, Computer Science
    Leads Group of Colleges, Azad Kashmir, Pakistan
    2014 – 2018
    Engaged in teaching foundational and advanced computer science subjects.

Research Interests 🔬

  • Explainable Artificial Intelligence (XAI)

  • Cyber Security

  • Wireless Networking and Security

  • Deep Learning Enabled Robotics and Automation

  • Software Defined Networking (SDN)

  • Advanced Neural Networks

  • Generative Models

Strengths and Technical Skills

  • Technical and Research Writing (English)

  • Critical Analysis of Literature

  • Data Analytics

  • Programming Languages: MATLAB, Python, Java

Conclusion🌟

Amreen Shafique is an emerging researcher with a strong vision for integrating ethical AI, cybersecurity, and intelligent automation into real-world solutions. Her commitment to academic growth, combined with hands-on teaching and research experience, positions her as a valuable contributor to any forward-thinking research team or academic institution. She seeks opportunities that will foster collaboration, innovation, and impactful scientific contributions.

Publications 📚

1️⃣ AI Models and Ethical Considerations in Research

🧠📜 This publication explores the integration of ethical frameworks in the development and deployment of artificial intelligence models, emphasizing transparency, bias mitigation, and responsible innovation.

2️⃣ PypiGuard: A Novel Meta-Learning Approach for Enhanced Malicious Package Detection in PyPI Through Static-Dynamic Feature Fusion

This research presents PypiGuard, a cutting-edge hybrid model that combines static and dynamic analysis techniques using meta-learning to detect malicious packages in Python’s official package repository (PyPI), enhancing cybersecurity and trust in open-source software ecosystems.

Kiran Asma | Artificial Neural Networks | Best Researcher Award

Posted on by sciencefather

Ms. Kiran Asma | Artificial Neural Networks | Best Researcher Award

Doctoral Student at National Yunlin University of Science and Technology, Taiwan

Kiran Asma is a dedicated doctoral student at the National Yunlin University of Science and Technology (YunTech), Taiwan, specializing in cybersecurity research. Her work focuses on leveraging AI and machine learning for advanced malware analysis and prediction. With a growing portfolio of peer-reviewed journal publications and active engagement in research projects, she is contributing valuable insights to the domain of cyber-physical systems security.

Publication Profile 

Scopus

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 📚

  1. 📝 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)

  2. 📝 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]

  3. 📝 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

  1. 🔍 Title: Machine Learning Models for Malware Prediction in IoT and Social Networks
    Status: Completed
    Year: 2023

  2. 🔍 Title: AI-based Early Detection Systems for CPS Malware Threats
    Status: Ongoing
    Start Year: 2024