Roja D | Cyber Threat | Best Researcher Award

Published on 25/04/202525/04/2025 by Innovation Technologist

Mrs. Roja D | Cyber Threat | Best Researcher Award

Assistant Professor at Chalapathi Institute of Technology, India

Mrs. Dasthavejula Roja is an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at Chalapathi Institute of Technology, Mothadaka, Andhra Pradesh, India. With over 5 years of academic experience, she is known for her commitment to excellence in teaching and mentoring, as well as her active participation in research and professional development. She is currently pursuing her Ph.D. in Computer Science and Engineering at The Glocal University, Saharanpur, Delhi.

Publication Profile

Google Scholar

Educational Background 🎓

Ph.D. (Pursuing) in Computer Science and Engineering
The Glocal University (Deemed to be University), Saharanpur, Delhi
M.Tech in Computer Science and Engineering
Chebrolu Engineering College, JNTUK, Kakinada – First Class with Distinction (July 2018)
B.Tech in Computer Science and Engineering
PNC & Vijay Institute of Engineering and Technology, JNTUH, Hyderabad – First Class (May 2015)

Professional Experience 💼

Mrs. Dasthavejula Roja is currently serving as an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at Chalapathi Institute of Technology, Mothadaka, since March 2021. In this role, she has been actively involved in teaching core subjects such as C Programming, Machine Learning, Cloud Computing, Blockchain Technology, Operating Systems, Software Project Management, and more. She has also contributed significantly to institutional development by coordinating and mentoring students during hackathons, and playing a key role as an NBA (National Board of Accreditation) member responsible for documentation and criteria fulfillment.

Prior to her current position, she worked as an Assistant Professor at PNC & Vijay Institute of Engineering and Technology (PNCVIET) from August 2018 to February 2021. During her tenure there, she contributed to undergraduate teaching, curriculum development, and student mentoring, establishing a strong foundation in technical education and pedagogy. With a cumulative teaching experience of over 5 years, she has demonstrated consistent dedication to academic excellence, innovation in teaching methodologies, and active participation in co-curricular initiatives.

Research Interests 🔬

Cybersecurity and Intrusion Detection
Internet of Things (IoT)
Cloud and Distributed Computing
Blockchain Technology
Deep Learning and AI
Smart Agriculture and Yield Prediction Models
Learning Analytics

Awards and Honors🏆✨

Best Faculty Award – Chalapathi Institute of Technology (2023–2024)
Multiple Certificates of Appreciation from NPTEL (Evangelist, Mentor, Discipline, Believer Star)
Educator Mentor Award by AICTE Internship (EDUSKILLS)
Celonis Educator – EDUSKILLS
Ratified as Assistant Professor by JNTUK, Kakinada (2022)

Memberships

IAENG: 294814
IAAC: FRTJQC-CE000874
ISOC (Internet Society): 2249916
IFERP: PM51493806

Conclusion🌟

Mrs. Dasthavejula Roja is a dedicated and forward-thinking academician with a passion for research, innovation, and continuous learning. Her involvement in high-impact research, extensive NPTEL certifications, and accolades from national organizations reflect her dynamic engagement in both teaching and professional development. She aims to contribute significantly to the fields of data science, cybersecurity, and smart agriculture through academic research and collaborative initiatives.

Publications 📚

📚 Credit Investigation and Comprehensive Risk Management System based on Big Data Analytics in Commercial Banking
👥 M. Venkateswara Rao, S.S. Vellela, V. Reddy, N. Vullam, K.B. Sk, D. Roja
📅 2023 | 🏛️ 9th International Conference on Advanced Computing and Communication
🔢 Cited by: 125

📚 Multi-agent Personalized Recommendation System in E-commerce Based on User
👥 N. Vullam, S.S. Vellela, V. Reddy, M.V. Rao, K.B. Sk, D. Roja
📅 2023 | 🏛️ 2nd International Conference on Applied Artificial Intelligence and Computing
🔢 Cited by: 111

📚 Prediction and Classification of Alzheimer’s Disease Using Machine Learning Techniques in 3D MR Images
👥 K.N. Rao, B.R. Gandhi, M.V. Rao, S. Javvadi, S.S. Vellela, S.K. Basha
📅 2023 | 🏛️ International Conference on Sustainable Computing and Smart Systems
🔢 Cited by: 96

📚 Coronary Heart Disease Prediction and Classification Using Hybrid Machine Learning Algorithms
👥 K.B. Sk, D. Roja, S.S. Priya, L. Dalavi, S.S. Vellela, V. Reddy
📅 2023 | 🏛️ International Conference on Innovative Data Communication Technologies
🔢 Cited by: 79

📚 Multi-Class Skin Diseases Classification with Color and Texture Features Using Convolution Neural Network
👥 S.S. Vellela, D. Roja, C. Sowjanya, K.B. Sk, L. Dalavai, K.K. Kumar
📅 2023 | 🏛️ 6th International Conference on Contemporary Computing and Informatics
🔢 Cited by: 70

📚 Design and Implementation of an Integrated IoT Blockchain Framework for Drone Communication
👥 S.S. Priya, S.S. Vellela, V. Reddy, S. Javvadi, K.B. Sk, D. Roja
📅 2023 | 🏛️ 3rd International Conference on Intelligent Technologies (CONIT)
🔢 Cited by: 66

📚 A Cloud-based Smart IoT Platform for Personalized Healthcare Data Gathering and Monitoring System
👥 S.S. Vellela, V.L. Reddy, D. Roja, G.R. Rao, K.B. Sk, K.K. Kumar
📅 2023 | 🏛️ 3rd Asian Conference on Innovation in Technology (ASIANCON)
🔢 Cited by: 63

📚 An Enhancing Network Security: A Stacked Ensemble Intrusion Detection System for Effective Threat Mitigation
👥 N. Vullam, D. Roja, N.M. Rao, S.S. Vellela, L.R. Vuyyuru, K.K. Kumar
📅 2023 | 🏛️ 3rd International Conference on Innovative Mechanisms for Industry Applications
🔢 Cited by: 57

📚 Cloud-hosted Concept-Hierarchy Flex-based Infringement Checking System
👥 S.S. Vellela, K. Basha Sk, K. Yakubreddy
📅 2023 | 🏛️ International Advanced Research Journal in Science, Engineering and Technology
🔢 Cited by: 56

📚 Prediction and Analysis Using a Hybrid Model for Stock Market
👥 N. Vullam, K. Yakubreddy, S.S. Vellela, K.B. Sk, V. Reddy, S.S. Priya
📅 2023 | 🏛️ 3rd International Conference on Intelligent Technologies (CONIT)
🔢 Cited by: 53

Xiaorui Yang | Robotics and Automation | Best Researcher Award

Published on 25/04/202525/04/2025 by Innovation Technologist

Assoc. Prof. Dr. Xiaorui Yang | Robotics and Automation | Best Researcher Award

Hebei University of Science and Technology, China

Dr. Yang Xiaorui is an Associate Professor and Master’s Supervisor in the field of Electrical Engineering at Hebei University of Science and Technology. With a strong background in engineering electromagnetics and magnetic technology, Dr. Yang has significantly contributed to research on nano magnetic fluids, digital twin modeling, and their applications in energy harvesting, vibration damping, positioning systems, and biomedical engineering. She has authored multiple peer-reviewed papers in SCI and EI-indexed journals and has actively led and participated in several national and provincial research projects.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. in Electrical Engineering, Hebei University of Technology, 2018

Professional Experience 💼

Associate Professor, Hebei University of Science and Technology
Master’s Supervisor, Department of Electrical Engineering
Leading and participating in national and provincial scientific research projects focused on magnetic fluids and electromagnetic applications.

Research Interests 🔬

Engineering Electromagnetic Fields
Nano Magnetic Liquid Technology
Digital Twin Technology for Power Equipment
Energy Harvesting Technologies
Magnetic Fluid Applications in:
- Friction-based power generation systems
- Vibration damping and shock absorption
- Precision positioning systems
- Tumor hyperthermia treatments
- Multi-physics field coupling and simulation modeling

Major Research Projects

NSFC Youth Project (52307010) – Research on energy transfer in magnetic liquid friction-electromagnetic composite systems (2024–2026) – Project Leader
Hebei Provincial NSF Youth Project (E2020208039) – Friction nano electromagnetic vibration energy harvesting using magnetic liquid (2020–2022) – Project Leader
NSFC General Project (51877066) – Tuned liquid damping method using magnetic liquid for wind power towers (2019–2022) – Fourth participant
Hebei Provincial NSF General Project (E2015202241) – Experimental research on magnetic liquid damping shock absorbers (2015–2017) – Third contributor

Awards and Honors🏆✨

Recipient of National Natural Science Foundation of China Youth Project Grant
Recipient of Hebei Provincial Natural Science Foundation Youth Project Grant
Recognized for significant contributions to multiphysics modeling and magnetic fluid applications in both academic and industrial settings.

Conclusion🌟

Dr. Yang Xiaorui is a dynamic and innovative researcher in the field of electrical engineering, particularly known for her pioneering work on nano magnetic fluids and electromagnetic energy systems. Her work bridges theoretical modeling, simulation, and experimental validation, pushing the boundaries of electromagnetic applications in sustainable energy, smart equipment, and medical technologies. With a growing number of high-impact publications and successful project leadership, she continues to advance cutting-edge research and mentor the next generation of engineers and scientists.

Publications 📚

🔋 “Output Characteristics of an Electromagnetic-Triboelectric Hybrid Energy Harvester Based on Magnetic Liquid”
👩‍🔬 Yang Xiaorui, Zheng Hao, Shao Jinlong, Zhang Yan, Chen Ying
📰 ACS Applied Electronic Materials, 2023, 5(2): 775–783
📌 Indexed in SCI ✅
🌊 “Effect of Magnetic Field on Output Performance of Magnetic Liquid Vibration Energy Harvester”
👩‍🔬 Yang Xiaorui, Chen Ying, Zhang Yan, Yang Wenrong
📰 COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2023, 42(1): 38–47
📌 Indexed in SCI ✅
⚡ “Study on Mechanical-Electrical Coupling Mechanism of Magnetic Liquid Triboelectric-Electromagnetic Composite Energy Harvester”
👩‍🔬 Yang Xiaorui, Zheng Hao, Long Hui, An Guoqing, Yang Wenrong
📰 Proceedings of the CSEE, 2024, 44(11): 4406–4417
📌 Indexed in EI 📈
🎯 “A Tuned Triboelectric Nanogenerator Using a Magnetic Liquid for Low-Frequency Vibration Energy Harvesting”
👩‍🔬 X. R. Yang, H. Zheng, H. B. Ren, et al.
📰 Nanoscale, 2024, 16(4): 1915–1923
📌 Indexed in SCI ✅
🛰️ “Analysis of Adjustable Magnetic Fluid Damper in DC Magnetic Field for Spacecraft Applications”
👩‍🔬 Xiaorui Yang, Qingxin Yang, Wenrong Yang, Bing Guo, Lifei Chen
📰 IEEE Transactions on Applied Superconductivity, 2018, 28(3): 0602305
📌 Indexed in SCI ✅
🛠️ “Damping Analysis and Experimental Study of Piston-Type Magnetic Liquid Shock Absorber”
👩‍🔬 Yang Xiaorui, Yang Qingxin, Guo Bing, Chen Lifei, Yang Wenrong
📰 Journal of Instrumentation, 2017, 38(8): 2071–2077
📌 Indexed in EI 📈
🧲 “Magnetic Field Design and Temperature Distribution Study of Magnetic Fluid Tumor Hyperthermia”
👩‍🔬 Yang Xiaorui, Yang Wenrong, Yang Qingxin, Liu Dan
📰 Functional Materials, 2017, 48(10): 10089–10093
📌 Indexed in SCI ✅

Mansoor Ali Darazi | ELT | Best Researcher Award

Published on 24/04/202524/04/2025 by Innovation Technologist

Assist. Prof. Dr. Mansoor Ali Darazi | ELT | Best Researcher Award

Assistant Professor at Benazir Bhutto Shaheed University Lyari, Pakistan

Dr. Mansoor Ali Darazi is an experienced English language educator and researcher with over two decades of progressive academic involvement at both secondary and tertiary levels. Currently serving as an Assistant Professor at Benazir Bhutto Shaheed University, Lyari, Karachi, he holds a Ph.D. in Education with a specialization in English Language Teaching (ELT) and is pursuing a second doctorate in English Linguistics. His scholarly work explores the intersections of teaching methodology, student motivation, academic engagement, institutional autonomy, and leadership in education. He has published extensively in HEC-recognized journals and maintains a strong presence in academic circles through conference participation and curriculum innovation.

Publication Profile

Google Scholar

Educational Background 🎓

Ph.D. (English Linguistics) – University of Sindh, Jamshoro (2023–2026, In Progress)
Ph.D. (Education, ELT) – Iqra University, Karachi (2022)
M.Phil. (Education, ELT) – Iqra University, Karachi (2014)
Bachelor of Arts (B.A.) – Shah Abdul Latif University, Khairpur (1997)

Professional Experience 💼

Benazir Bhutto Shaheed University, Lyari, Karachi

Assistant Professor, Education (2022–Present)
Lecturer, Education (2019–2022)
Lecturer, English (2015–2019)

Army Public School, Saddar, Karachi

O-Level English Language Teacher & Academic Coordinator (2011–2015)

Other Teaching Positions

Part-Time Tutor, Allama Iqbal Open University (2009–2011)
Lecturer in English, Pakistan Marine Academy (2008–2009)
Lecturer in English, Bahria Foundation College (2005–2008)
Lecturer in English, Govt. Islamia Science College (2004–2005)
Lecturer in English, Ronaq-e-Islam College for Women (2003–2004)
English Teacher, Mazhar Muslim Model Higher Secondary School (1997–2003)

Research Interests 🔬

English Language Teaching (ELT) Methodologies
Academic Engagement and Motivation in EFL/ESL Contexts
Educational Leadership and Institutional Autonomy
Writing Proficiency and Student Satisfaction
Curriculum Development and Assessment in Higher Education
Teacher Feedback and Student Achievement
Impact of Organizational Culture and Change Management in Academia

Awards and Honors🏆✨

Teacher Development Certificate, Education First (2022)
Certificate in Academic & Report Writing, AKU-IED, Karachi (2018)
Professional Memberships:
- International Confederation of Worldwide Principals
- AKU-IED Research Network
- IELTA Pakistan
- Society of Pakistan English Language Teachers (SPELT)

Conclusion🌟

Dr. Mansoor Ali Darazi stands out as a versatile and dedicated academic professional committed to excellence in English language teaching and educational research. His dynamic career path, marked by consistent professional growth and impactful scholarship, reflects a commitment to fostering innovation, inclusivity, and intellectual curiosity among students and peers alike. He continues to contribute meaningfully to Pakistan’s academic landscape, combining pedagogical strength with a progressive research outlook.

Publications 📚

📘 The Impact of ESL Teachers’ Emotional Intelligence on ESL Students’ Academic Engagement, Reading and Writing Proficiency: Mediating Role of ESL Students’ Motivation
👥 AK Khoso, MA Darazi, KA Mahesar, MA Memon, F Nawaz
📰 International Journal of Early Childhood Special Education, Vol. 14, pp. 3267–3280
📅 2022 | 🔁 Cited by: 17

📝 Key Factors Influencing Creative Writing Skill: Students’ Perceptions in an ELT Context at Higher Education Level
👥 MA Darazi, I Saad, S Adil
📰 Pakistan Journal of Educational Research, Vol. 4(3)
📅 2021 | 🔁 Cited by: 12

💬 The Role of Feedback in Enhancing Creative Writing Skills in ELT Contexts
👥 N Fatima, M Ehsan, MA Darazi, A Majeed, AA Chaudhary
📰 Remittances Review, Vol. 9(3), pp. 350–368
📅 2024 | 🔁 Cited by: 10

🎯 Investigating the Effects of ESL Teachers’ Feedback on ESL Undergraduate Students’ Level of Motivation, Academic Performance, and Satisfaction: Mediating Role of Students’ Motivation
👥 MA Darazi, AK Khoso, KA Mahesar
📰 Pakistan Journal of Educational Research, Vol. 6(2)
📅 2023 | 🔁 Cited by: 10

🌍 The Correlation Between English Language Proficiency and Perceived Career Opportunities: Empirical Analysis
👥 D Malokani, S Kazi, SP Chandio, SN Mumtaz, MA Darazi, NS Farooqui
📰 Remittances Review, Vol. 8(4), pp. 4818–4827
📅 2023 | 🔁 Cited by: 7

📱 The Impact of Political Marketing Through Social Media on Voters’ Involvement, Satisfaction and Loyalty: Youth Pakistani Voters’ Perceptions
👥 KA Mahesar, MA Darazi, AK Khoso
📰 Pakistan Journal of International Affairs, Vol. 4(4)
📅 2021 | 🔁 Cited by: 5

🌱 Impact of Green Training and Green Employee Involvement Behavior on Environmental Performance: Role of Green Employee Behavior
👥 D Malokani, T Kumar, N Hassan, SN Mumtaz, N Qazi, MA Darazi
📰 Kurdish Studies, Vol. 12(5), pp. 01–07
📅 2024 | 🔁 Cited by: 4

🏢 Impact of Organizational Culture on Entrepreneurial Orientation: Role of Organizational Commitment
👥 D Malokani, D Junejo, TR Makhdoom, SN Mumtaz, N Qazi, MA Darazi
📰 Migration Letters, Vol. 21(S7), pp. 1048–1057
📅 2024 | 🔁 Cited by: 4

🖋️ The Impact of Writing Anxiety, Writing Achievement Motivation, Writing Self-Efficacy and Reading Habits on Pakistani Undergraduate English Major Students’ Writing Performance
👥 A Majeed, AK Khoso, MA Darazi, S Fatima
📰 International Journal of Early Childhood Special Education, Vol. 14(4)
📅 2022 | 🔁 Cited by: 4

🎓 Impact of EFL Teachers’ Teaching Style on Students’ Academic Performance and Satisfaction: Evidence from Public Sector Universities of Karachi
👥 MA Darazi, AK Khoso, KA Mahesar
📰 Benazir Research Journal of Humanities and Social Sciences, Vol. 1(1)
📅 2022 | 🔁 Cited by: 3

🌿 The Green HRM Impact on Employees’ Environmental Commitment: Mediating Effect of Organizational Pride
👥 DKAK Malokani, SN Mumtaz, D Junejo, DH Shaikh, N Hassan, MA Darazi, …
📰 Metallurgical and Materials Engineering, Vol. 30(4), pp. 470–480
📅 2024 | 🔁 Cited by: 2

Dong Liu | Data Driven Control | Best Researcher Award

Published on 24/04/202524/04/2025 by Innovation Technologist

Prof. Dong Liu | Data Driven Control | Best Researcher Award

Deputy Director of Provincial Key Laboratory at Shenyang Aerospace University, China

Dong Liu is an Associate Professor at the College of Automation, Shenyang Aerospace University, China. He is a leading researcher in the field of control theory and engineering, especially recognized for his work on data-driven control, model-free adaptive control, and secure control systems. He plays active roles in various national technical committees related to automation, command and control, and artificial intelligence.

Publication Profile

Scopus

Orcid

Educational Background 🎓

Ph.D. in Control Theory and Control Engineering,
Northeastern University, China — 2018

Professional Experience 💼

Associate Professor,
College of Automation, Shenyang Aerospace University
Deputy Director,
Liaoning Provincial Key Laboratory of Advanced Flight Control and Simulation Technology
Recognized as a High-Level Talent by Shenyang Municipality

Committee Roles:

Committee Member, Technical Committee on Data-Driven Control, Learning, and Optimization (Chinese Association of Automation)
Committee Member, Technical Committee on Intelligent Control and Systems (Chinese Command and Control Association)
Committee Member, Technical Committee on Intelligent Detection and Motion Control Technology (Chinese Association for Artificial Intelligence)

Research Interests 🔬

Data-Driven Control
Model-Free Adaptive Control (MFAC)
Secure Control Systems
Sliding Mode Control
Cyber-Physical Systems
Prescribed Performance Control
Aerospace Control Applications
Event-Triggered and Reinforcement Learning-based Control

Awards and Honors🏆✨

Recognized as High-Level Talent by the Shenyang Municipality
Appointed Deputy Director of a Provincial Key Laboratory
Holds Multiple Technical Committee Memberships in prestigious national associations

Conclusion🌟

Dr. Dong Liu is an influential scholar in control engineering, especially in data-driven and model-free adaptive control systems with an emphasis on robustness, security, and real-time applications in aerospace and cyber-physical systems. His high-impact journal publications and leadership roles in national technical committees underline his strong academic and technical contributions. He is actively shaping the future of intelligent control in China and internationally.

Publications 📚

📘 Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks
✍️ Yijie Yang, Dong Liu, Xin Wang, Zhujun Wang
🗞️ Journal of Process Control, June 2025
🔗 DOI: 10.1016/j.jprocont.2025.103422

📘 Prescribed performance based data-driven adaptive sliding mode control for discrete-time nonlinear systems
✍️ Dong Liu, Yi-Jie Yang, Li-Ying Hao
🗞️ Journal of the Franklin Institute, March 2024
🔗 DOI: 10.1016/j.jfranklin.2024.01.021

📘 Data-Driven Bipartite Consensus Tracking for Nonlinear Multiagent Systems With Prescribed Performance
✍️ Dong Liu, Zhi-Peng Zhou, Tie-Shan Li
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2023
🔗 DOI: 10.1109/TSMC.2022.3230504

📘 Event‐triggered model‐free adaptive control for nonlinear systems with output saturation
✍️ Dong Liu, Ning Liu, Tieshan Li
🗞️ Int. Journal of Robust and Nonlinear Control, August 2023
🔗 DOI: 10.1002/rnc.6747

📘 Data-Driven Adaptive Sliding Mode Control of Nonlinear Discrete-Time Systems With Prescribed Performance
✍️ Dong Liu, Guang-Hong Yang
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, December 2019
🔗 DOI: 10.1109/TSMC.2017.2779564

📘 Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems
✍️ Dong Liu, Guang-Hong Yang
🗞️ IEEE Trans. on Neural Networks and Learning Systems, July 2019
🔗 DOI: 10.1109/TNNLS.2018.2881205

📘 Model-Free Adaptive Control Design for Nonlinear Discrete-time Processes with Reinforcement Learning Techniques
✍️ Dong Liu
🗞️ International Journal of Systems Science, July 2018
🔗 [Link not provided]

📘 Performance-based data-driven model-free adaptive sliding mode control for a class of discrete-time nonlinear processes
✍️ Dong Liu
🗞️ Journal of Process Control, June 2018
🔗 [Link not provided]

📘 Data-Driven Adaptive Sliding Mode Control of Nonlinear Discrete-Time Systems With Prescribed Performance
✍️ Dong Liu
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, November 2017
🔗 [Link not provided]

📘 Event-based model-free adaptive control for discrete-time non-linear processes
✍️ Dong Liu
🗞️ IET Control Theory & Applications, September 2017
🔗 [Link not provided]

📘 Neural network-based event-triggered MFAC for nonlinear discrete-time processes
✍️ Dong Liu
🗞️ Neurocomputing, July 2017
🔗 [Link not provided]

Samar Said | Catalysis | Best Researcher Award

Published on 24/04/202524/04/2025 by Innovation Technologist

Assoc. Prof. Dr. Samar Said | Catalysis | Best Researcher Award

Associate professor at Egyptian Petroleum Research Institute, Egypt

Dr. Samar Said Mohamed Abdelaal is an accomplished Assistant Professor of Inorganic Chemistry at the Catalysts Laboratory, Refining Department, Petroleum Research Institute, Egypt. With a solid academic foundation in chemistry and over a decade of hands-on research experience, Dr. Said has contributed significantly to the development and application of mesoporous and nanoporous catalysts, particularly in the field of petroleum refining and environmental catalysis. Her work emphasizes sustainable chemical processes and advanced materials for catalytic applications.

Publication Profile

Orcid

Educational Background 🎓

Ph.D. in Chemistry – Ain Shams University, Cairo, Egypt (May 2015)
Thesis: “Nanoporous manganese oxide with cryptomelane structure: Preparation, characterization and catalytic activities”
M.Sc. in Chemistry – Cairo University, Egypt (October 2009)
Thesis: “Synthesis of mesoporous molecular sieves and their use in paraffins hydroconversions”
B.Sc. in Chemistry – Cairo University, Egypt (May 2004)

Professional Experience 💼

Assistant Professor, Catalysts Laboratory, Petroleum Research Institute
September 2021 – Present
Researcher, Catalysts Laboratory, Petroleum Research Institute
July 2015 – September 2021
Assistant Researcher, Catalysts Laboratory, Petroleum Research Institute
August 2011 – July 2015
Grant Researcher, Academy of Scientific Research and Technology
March 2006 – March 2009 (During M.Sc. studies at the Petroleum Research Institute)

Research Interests 🔬

Design, synthesis, and characterization of mesoporous and nanoporous materials
Catalyst development for petroleum refining, hydroconversion, and hydroisomerization
Environmental catalysis, including oxidative dehydrogenation and photocatalytic degradation
Utilization of transition metal oxides (e.g., manganese oxide, vanadia, ceria) in catalytic reactions
Sustainable and eco-friendly chemical processes

Awards and Honors🏆✨

Research Grant from the Academy of Scientific Research and Technology (2006–2009), supporting her M.Sc. studies and research at the Petroleum Research Institute.

(Additional awards or recognitions can be added if applicable)

Conclusion🌟

Dr. Samar Said is a dedicated researcher and academic with a strong record of scientific productivity and innovation in the field of inorganic chemistry and catalysis. With over 19 publications in reputable international journals and active participation in key scientific conferences, she continues to push the boundaries of catalytic material design. Her work not only supports technological advancement in petroleum refining but also contributes to the global effort toward cleaner, more sustainable chemical processes. Dr. Said remains committed to both academic excellence and impactful research that bridges science and industry.

Publications 📚

📄 Catalysts for the non-oxidative dehydrogenation of ethanol supported by WO₃-based micro-mesoporous composites
📚 Journal of Physics and Chemistry of Solids, 2025-10
🔗 DOI: 10.1016/j.jpcs.2025.112789
👥 Contributors: S. Said, M. Riad

🔬 Hybridizing silica and Cu₃(BTC)₂ to synthesize copper containing catalysts for ethanol conversion
📚 Journal of Molecular Liquids, 2024-07
🔗 DOI: 10.1016/j.molliq.2024.125062
👥 Contributors: Aya M. Matloob, S. Said

🌞 Facile synthesis of ZnMoO₄/AlPO₄-5 nanorod composites as visible-light-driven photocatalysts and high-performance energy storage materials
📚 RSC Advances, 2022
🔗 DOI: 10.1039/D2RA00268J
👥 Contributors: Delvin Aman, Samira Abdel-Azim, S. Said, Saad G. Mohamed

⚗️ Atomic layer deposition of MoO₃ on mesoporous γ-Al₂O₃ prepared by sol–gel method as efficient catalyst for oxidative desulfurization of refractory dibenzothiophene compound
📚 Journal of Sol-Gel Science and Technology, 2020-08-06
🔗 DOI: 10.1007/s10971-020-05332-w
👥 Contributors: S. Said, Asmaa A. Abdelrahman

🧱 Modernization of the bulk Co₃O₄ to produce meso-porous Co₃O₄ nano-particles with enhanced structural and morphological characteristics
📚 Journal of Porous Materials, 2020-01-02
🔗 DOI: 10.1007/s10934-019-00843-6
👤 Author: Samar Said

🌿 Oxidation of benzyl alcohol through eco-friendly processes using Fe-doped cryptomelane catalysts
📚 Solid State Sciences, 2019-08
🔗 DOI: 10.1016/j.solidstatesciences.2019.05.020
👤 Author: Samar Said

🛢️ Pt/SAPO-11 Catalysts: Effect of Platinum Loading Method on the Hydroisomerization of n-Hexadecane
📚 Catalysis Letters, 2019-08
🔗 DOI: 10.1007/s10562-019-02783-x
👤 Author: Samar Said

🧪 Recent progress in preparations and applications of meso-porous alumina
📚 Materials Science for Energy Technologies, 2019-08
🔗 DOI: 10.1016/j.mset.2019.02.005
👤 Author: Samar Said

🧂 Preparation of different manganese oxide structures via controlling the concentration and the type of the alkaline media
📚 Asian Journal of Nanoscience and Materials, 2019-06
🔗 DOI: 10.26655/ajnanomat.2019.2.3.4
👤 Author: Samar Said

⚛️ Synthesis and functionalization of ordered mesoporous carbons supported Pt nanoparticles for hydroconversion of n-heptane
📚 New Journal of Chemistry, 2018
🔗 DOI: 10.1039/C8NJ02786B
👤 Author: S. Said

💡 Photo-catalytic selective organic transformations by Fe-doped octahedral molecular sieves (manganese oxide) nano-structure
📚 Journal of Asian Ceramic Societies, 2018-04-03
🔗 DOI: 10.1080/21870764.2018.1480686
👤 Author: Samar Said

Mihir Parekh | Machine Learning | Best Researcher Award

Published on 24/04/202524/04/2025 by Innovation Technologist

Mr. Mihir Parekh | Machine Learning | Best Researcher Award

Research Scholar at Nirma University, India

Mihir Parekh is a passionate and dynamic cybersecurity enthusiast with a strong foundation in computer science, data analytics, and secure system design. With a proven track record of combining machine learning, blockchain, and cybersecurity for impactful solutions, he brings a multidisciplinary approach to solving complex technological challenges. Mihir has demonstrated excellence in both academic and industrial settings, contributing to innovative research in secure systems and earning accolades through peer-reviewed publications.

Publication Profile

Google Scholar

Educational Background 🎓

M.Tech in Computer Science and Engineering (Cyber Security)
Nirma University, Ahmedabad
08/2022 – 06/2024 | CGPA: 9.21
Focus: Cybersecurity, Blockchain, Data Analysis, Machine Learning
Bachelor of Engineering in Information Technology
G.H. Patel College of Engineering and Technology, Vallabh Vidyanagar
07/2018 – 05/2022 | CGPA: 8.22

Professional Experience 💼

Data Analyst
Contrado Imaging India Pvt. Ltd., Ahmedabad
06/2023 – 10/2023
- Performed data cleaning and preprocessing using Python.
- Developed SQL queries to fetch and analyze data.
- Used Kibana and Elasticsearch for data visualization.
Business Process Analyst
Kevit Technologies, Rajkot
12/2021 – 07/2022
- Designed chatbot workflows and managed client-specific SRS and change requests.
- Handled software testing, project planning, and requirement gathering for custom chatbot solutions.

Research Interests 🔬

Cybersecurity and Digital Forensics
Blockchain Applications and Cryptographic Protocols
Machine Learning and Deep Learning
Federated Learning & Secure Data Sharing
Anomaly Detection and Fraud Prevention
Secure Industrial IoT Systems

Awards and Honors🏆✨

🏆 Published Journal Paper:
Blockchain Forensics to Prevent Cryptocurrency Scams
Computers & Electrical Engineering (Impact Factor: 5.5)
🏆 Conference Presentation:
Federated Learning-based Secure Data Dissemination Framework for IIoT Systems
IEEE ICBDS 2024
🏆 Journal Publication:
Decentralized Data-Driven Analytical Framework for Ship Fuel Oil Consumption
Ain Shams Engineering Journal
🎖️ Infineon Hackathon Finalist – AES-128 Cryptanalysis Challenge

Conclusion🌟

Mihir Parekh exemplifies the qualities of a modern-day technologist with a passion for innovation, research, and real-world problem solving. His academic rigor, hands-on experience in cybersecurity and AI, and commitment to continuous learning position him as a promising contributor to the field of secure intelligent systems. Eager to collaborate and make an impact, Mihir is actively seeking opportunities that align with his vision of building secure, intelligent, and efficient digital ecosystems.

Publications 📚

📘 Parekh, M., Jadav, N. K., Tanwar, S., Pau, G., Alqahtani, F., & Tolba, A. (2025). ANN and blockchain-orchestrated decentralized data-driven analytical framework for ship fuel oil consumption. Applied Ocean Research, 158, 104553.
🔗 https://doi.org/10.xxxxx/aor.2025.104553
📊 Keywords: Artificial Neural Networks, Blockchain, Maritime Fuel Analytics

📕 Parekh, M., Jadav, N. K., Pathak, L., Tanwar, S., & Yamsani, N. (2024). Federated Learning-based Secure Data Dissemination Framework for IIoT Systems Underlying 5G. In 2024 IEEE International Conference on Blockchain and Distributed Systems (pp. xx–xx). IEEE.
📡 Keywords: Federated Learning, 5G, IIoT, Cybersecurity
📍 Conference Paper

📄 Parekh, M. (2024). Decentralized Data-Driven Analytical Framework for Ship Fuel Oil Consumption. Institute of Technology.
🏛️ Institutional publication / Thesis
🌐 Focus: Data Analytics, Maritime Efficiency

Lin Zhu | Image Technology | Best Researcher Award

Published on 23/04/202523/04/2025 by Innovation Technologist

Ms. Lin Zhu | Image Technology | Best Researcher Award

Shanghai Chest Hospital, China

Dr. Lin Zhu is a postdoctoral researcher and attending doctor at the Radiology Department of Shanghai Chest Hospital, Shanghai Jiaotong University. Her research is centered on radiology and oncology, with a particular emphasis on tumorigenicity, advanced imaging technologies, AI-assisted diagnostic imaging, quantitative image analysis, and molecular nanoimaging in the context of tumor microenvironments. She has published 9 first-author SCI papers and has served as principal investigator (PI) on four funded research projects.

Publication Profile

Orcid

Educational Background 🎓

Doctor of Medicine (Diagnostic and Interventional Radiology)
Heidelberg University Clinic, Heidelberg University, Germany
Sept. 2018 – Feb. 2022
Supervisors: Prof. Dr. Mark O. Wielpütz MHBA and Prof. Hans-Ulrich Kauczor
Master of Medicine (Medical Imaging and Nuclear Medicine)
Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China
Sept. 2013 – June 2016
Supervisor: Prof. Dr. Hong Yu
Bachelor of Medicine (Medical Imaging)
School of Medicine, Southeast University, China
Sept. 2007 – June 2012

Professional Experience 💼

Postdoctoral Researcher
Shanghai Chest Hospital, Shanghai Jiaotong University, China
Feb. 2022 – Present
Training Radiologist
Shanghai Changzheng Hospital, Second Military Medical University, China
Aug. 2016 – July 2018
Training Radiologist
The Fifth People’s Hospital of Shanghai, Fudan University, China
July 2012 – July 2013
Clinical Practice (Internship)
Zhongda Hospital, Southeast University, China
June 2011 – June 2012

Research Interests 🔬

Tumorigenicity and tumor microenvironment
Advanced and AI-assisted imaging techniques
Quantitative imaging analysis
Molecular nanoimaging for cancer diagnostics
Multimodal radiological imaging for lung cancer and lymphoma
Imaging biomarkers in oncology

Awards and Honors🏆✨

While specific named awards are not listed, notable professional achievements include:

Published 9 SCI-indexed papers as first author
Principal Investigator of 4 research projects
Speaker at major international conferences, including:
- European Congress of Radiology (ECR) 2018 & 2020
- Chinese Congress of Radiology (CCR) 2016 & 2022

Conclusion🌟

Dr. Lin Zhu exemplifies a dynamic and highly accomplished medical imaging expert with extensive international research and clinical experience. Her multidisciplinary approach, combining diagnostic radiology with molecular imaging and artificial intelligence, positions her as a leading researcher in the field of thoracic oncology imaging. Her work bridges foundational biological research with state-of-the-art diagnostic practices, contributing meaningfully to advancements in precision medicine and personalized cancer care.

Publications 📚

🐭 µCT in Muco-obstructive Lung Disease
Zhu L., et al.
American Journal of Physiology – Lung Cellular and Molecular Physiology, 2022, 322(3):L401–L411.
🔬 Topic: Neutrophil elastase in mouse lung disease
🫁 MRI vs. CT for Lung Nodule Detection in COPD
Li Q, Zhu L, et al.
Radiology: Cardiothoracic Imaging, 2023, 5(2):e220176.
🧠 Topic: MRI as a diagnostic tool compared to CT
🧬 miR-629 & Lung Cancer Tumorigenesis
Zhu L, et al.
Cancer Biomarkers, 2020.
🧪 Topic: PI3K/AKT pathway & FOXO1 targeting
🦠 Primary Pulmonary Lymphoepithelial Carcinoma
Nie K, Zhu L, et al.
Journal of Surgical Oncology, 2023.
🩺 Topic: Rare lung cancer subtype prognosis
🧫 RasGRP4 in Lymphoma Growth
Zhu L, et al.
Cell Communication and Signaling, 2019, 17(1), 92.
🔬 Topic: Oncogene role in B-cell lymphoma
🧬 miR-101 and Pancreatic Cancer Suppression
Zhu L, et al.
Cancer Biomarkers, 2018, 23(2):301–309.
🧠 Topic: STMN1 targeting to suppress proliferation
🩻 Ultrasound/CT + CA125 for Ovarian Tumors
Zhu L, et al.
Minerva Medica, 2018, 109(6):489–491.
🧪 Topic: Combined diagnostic method
📊 TIMP-2 Expression in Lung Cancer
Zhu L, et al.
PLOS ONE, 2015, 10(4):e0124230.
🔍 Topic: Meta-analysis on tumor prognosis
🔬 PET/CT in Small Cell Lung Cancer
Nie K, Zhu L, et al.
J Med Imaging Radiat Oncol, 2019, 63(1):84–93
💉 Serum Angiopoietin-Like Protein 2 as Biomarker
Chen Y, Zhu L, et al.
Clin Lab, 2017, 63(1):59–65
🧠 CT Phenotyping in Pulmonary Lymphoma
Chen Y, Zhu L, et al.
J Thorac Dis, 2018, 10(11):6040–6049
🐭 µCT Monitoring of Neutrophil Elastase Deficiency
Zhu L, et al.
ECR 2020 – Book of Abstracts, Insights Imaging, 2020, 11(Suppl 1):34
🧠 Lung Cancer Imaging & Treatment Methods
Zhu L, et al.
Int. J. Med. Radiology, 2018, 41(06):641–645
🧬 String Beads Sign in Small Cell Lung Cancer
Xiao YX, Zhu L, et al.
Journal of Practical Radiology, 2016
🧠 DOI: 10.3969/j.issn.1002-1671.2016.01.001
🫁 CT Signs of Peripheral Small Cell Lung Cancer
Xiao YX, Zhu L, et al.
Journal of Practical Radiology, 2016
🩻 DOI: 10.3969/j.issn.1002-1671.2016.01.001

Lin Chen | Materials Science | Best Researcher Award

Published on 23/04/202523/04/2025 by Innovation Technologist

Assoc. Prof. Dr. Lin Chen | Materials Science | Best Researcher Award

Professor at Xi’an Jiaotong University, China

Prof. Lin Chen is a rising academic leader in the field of Materials Science and Engineering, with a focus on thermal protection coatings under extreme environments. With a prolific publishing record and multiple high-impact contributions to both fundamental and applied materials research, Prof. Chen has quickly established himself as a key figure in aerospace-related materials innovation. His work bridges theoretical design and practical application, contributing significantly to the development and successful deployment of advanced coating systems in China’s aerospace sector.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. in Materials Science and Engineering,
Xi’an Jiaotong University (XJTU) — July 2020

Professional Experience 💼

Associate Professor, School of Materials Science and Engineering, XJTU — Present
Assistant Professor, Xi’an Jiaotong University — November 2020 – Present
Selected as an A-Class Young Talent at XJTU — 2020
Research supported by the National Postdoctoral Innovation Talent Support Program — 2021

Research Interests 🔬

Prof. Chen’s research primarily addresses the mechanical design and durability of thermal protection coatings, with emphasis on:

Stress-induced coating failure in oxide scales
Development of ultra-high-temperature, long-life coatings
Application of protective coatings in extreme aerospace engine environments, including high chamber pressure, high velocity, and elevated gas temperatures
Performance assessment through ground testing and design life validation

Awards and Honors🏆✨

A-Class Young Talents Program, Xi’an Jiaotong University — 2020
National Postdoctoral Innovation Talent Support Program — 2021
Three National Natural Science Foundation projects (as PI)
Key project from National Defense Science and Technology Laboratory
Seven collaborative projects with China Aerospace Science and Technology Corporation (CASC)
Publications Achievements:
- 25 papers as first or corresponding author
- Featured in Nature Biomedical Engineering and a Nature cover article
- Two ESI Highly Cited Papers
- Most-cited paper: 232+ citations
- Total citations: 2,000+
- H-index: 21

Conclusion🌟

Prof. Lin Chen exemplifies the next generation of materials scientists with a sharp focus on real-world challenges in thermal protection for aerospace applications. With his extensive publication record, competitive grant leadership, and successful industry collaborations, he has already made impactful strides in the materials community. His role in advancing high-performance coatings that withstand extreme conditions has not only contributed to academic knowledge but also enhanced the reliability and endurance of aerospace systems. He is a promising and influential scholar in China’s high-tech innovation landscape.

Publications 📚

📄 Article (Open Access)
🔬 High entropy engineering boosts thermo-mechanical properties of rare-earth tantalates: Influences of cocktail effects
👤 Luyang Zhang, Lin Chen, Jiankun Wang, Yanhui Chu, Jing Feng
📰 Journal of Materiomics, 2025
📈 Citations: 1

📄 Article
🔥 Promoting Yb₂Si₂O₇ environmental barrier coatings for service at 1425 °C
👤 Lin Chen, Shuwen Li, Chang-Jiu Li, Guanjun Yang
📰 Journal of the European Ceramic Society, 2025
📈 Citations: 1

📄 Article
🛡️ A4Ta2O9 (A=Ca, Mg) tantalate as novel thermal barrier coatings materials with superior CMAS resistance
👤 Luyang Zhang, Keren Luo, Lin Chen, Baihui Li, Jing Feng
📰 Journal of the European Ceramic Society, 2025
📈 Citations: 1

📄 Article (Open Access)
🏗️ Thermal/mechanical properties of cordierite synthesized using coal gangue as a refractory material
👤 Guangmao Yan, Lin Chen, Qingwei Jiang, Zulai Li, Jing Feng
📰 International Journal of Applied Ceramic Technology, 2025
📈 Citations: 0

📄 Article (Open Access)
💥 Reactive self-consumption strategy to suppress SiO₂ phase transition-induced cracking
👤 Lin Chen, Shuwen Li, Chang-Jiu Li, Qiang Zhang, Guanjun Yang
📰 Journal of Advanced Ceramics, 2025
📈 Citations: 0

📄 Article
🧪 Suppressing the oxygen-ionic conductivity and promoting the phase stability of high-entropy rare earth niobates via Ta substitution
👤 Mengdi Gan, Liping Lai, Jiankun Wang, Jing Feng, Xiaoyun Yu Chong
📰 Journal of Materials Science and Technology, 2025
📈 Citations: 17

📄 Article (Open Access)
🔍 Nanomechanical properties of RENbO₄ (RE = La, Gd, Dy, Y, Yb) ceramics: A nanoindentation study
👤 Xiang Jiang, Lin Chen, Di Zhang, Guiyu Xue, Jing Feng
📰 Journal of the American Ceramic Society, 2025
📈 Citations: 0

📄 Article
⚙️ Exceptional abrasion and corrosion resistance of NiCoCrAlY/Al₂O₃ blade tip abrasive coatings up to 1000 °C by laser cladding
👤 Lin Chen, Yuhao Xie, Chang-Jiu Li, Guanjun Yang
📰 Surface and Coatings Technology, 2025
📈 Citations: 1

📄 Article
🧱 Optimizations of thermal and mechanical properties of Al₁₋ₓMₓTaO₄ (M=Ga and Co) ceramics for thermal/environmental barrier coatings
👤 Luyang Zhang, Lin Chen, Yuxuan Zhang, Jiang Tian, Jing Feng
📰 Ceramics International, 2025
📈 Citations: 0

📄 Article
🌡️ Durable GdTaO₄/YSZ double-ceramic-layer thermal barrier coatings against ultrahigh-temperature thermal shock
👤 Guanjun Yang, Lin Chen
📰 Ceramics International, 2025
📈 Citations: 0

Tejinder Singh Lakhwani | Healthcare | Best Researcher Award

Published on 22/04/202522/04/2025 by Innovation Technologist

Mr. Tejinder Singh Lakhwani | Healthcare | Best Researcher Award

Research Scholar at Indian Institute of Technology Jodhpur, India

Dr. Tejinder Singh Lakhwani is a researcher in Decision Sciences and Operations with expertise in healthcare logistics, drone delivery systems, IoT integration, and fuzzy systems. He is currently pursuing his Ph.D. at the School of Management and Entrepreneurship (SME), IIT Jodhpur, focusing on intelligent and sustainable healthcare logistics using IoT and drone-based technologies. His academic journey spans mechanical engineering, operations research, and decision sciences, with consistent academic excellence and contributions in interdisciplinary research. He is a prolific scholar with numerous journal articles, conference presentations, and book chapters to his name.

Publication Profile

Scopus

Orcid

Educational Background 🎓

Ph.D. in Decision Sciences and Operations
SME, IIT Jodhpur (2020 – 2025)
CGPA: 7.73
Thesis: Mobility in Blood Supply Management using IoT paradigm
M.Tech. in Operations Research
NIT Durgapur (2018 – 2020)
CGPA: 7.92
Thesis: An analysis on Dombi Neutrosophic and m-Polar Pythagorean Fuzzy Graphs with properties
B.Tech. in Mechanical Engineering
RGPV University (2012 – 2016)
CGPA: 7.92

Professional Experience 💼

Participated in various workshops including:
- Gender Bias and Stereotyping (TEQIP-III Workshop, NIT Durgapur, 2019)
- Gender Equality and Women Rights (NIT Durgapur, 2019)
- Navigating PhD and Beyond (ACS Society, IIT Jodhpur, 2025)
Proficient in academic research, teaching, LATEX typesetting, and consulting
Skills include Python, MATLAB, and LaTeX, with focus on Supply Chain Management
Involved in multiple international conferences with presentations on drone logistics, tokenization in supply chains, and multi-modal healthcare routing

Research Interests 🔬

Drone-based healthcare logistics and optimization
IoT and AI integration in blood supply chain management
Fuzzy and neutrosophic graph theory applications
Multi-modal logistics, decision sciences, and supply chain modeling
Ant colony and hybrid metaheuristic algorithms
Sustainability and resilience in medical logistics systems

Awards and Honors🏆✨

Gold Medalist in B.E. (Mechanical Engineering), RGPV University (2016)
Gold Medalist in M.Tech. (Operations Research), NIT Durgapur (2020)
MHRD Fellowship for M.Tech. studies (2018)
MoE Doctoral Fellowship for Ph.D. studies (2020)
Junior Scientist Award from Madhya Pradesh Government (2006)
Qualified GATE in 2017 and 2018 with scores of 380 and 540 respectively

Conclusion🌟

Dr. Tejinder Singh Lakhwani is an emerging academic and research professional whose work integrates technology, healthcare, and operations research. His contributions to drone and IoT-based blood delivery systems demonstrate a commitment to real-world, impactful problem-solving. With multiple awards, gold medals, and a growing portfolio of high-impact publications and presentations, he stands out as a thought leader in the space of sustainable and intelligent logistics systems. His interdisciplinary expertise and ongoing Ph.D. research are shaping the future of smart healthcare supply chains.

Publications 📚

1️⃣ 🛰️ Healthcare Logistics (IoT & Drone):

Beyond numbers: A novel IoT and drone framework for enhancing healthcare logistics
📰 Discover Health Systems, Vol. 4, 2025

2️⃣ 🚁 Blood Bag Deliveries & Emergencies:

Revolutionizing healthcare logistics: The strategic role of drone technology in blood bag deliveries for remote and emergency care
📰 Journal of Transport and Health, Vol. 42, 2025
🔗 doi: 10.1016/j.jth.2025.102053

3️⃣ 🏦 Banking & Fuzzy Models:

Navigating uncertainty: Leveraging fuzzy queuing models to revolutionize customer experience in banking
📰 Fuzzy Economic Review, Vol. 29, No. 1, 2024
🔗 doi: 10.25102/fer.2024.01.04

4️⃣ 🔗 Fuzzy Graph Theory:

Some operations on Dombi neutrosophic graph
📰 Journal of Ambient Intelligence and Humanized Computing, Vol. 13, pp. 425–443, 2022

Kyung-Hyune Rhee | Information Security | Best Researcher Award

Published on 22/04/202522/04/2025 by Innovation Technologist

Prof. Dr. Kyung-Hyune Rhee | Information Security | Best Researcher Award

Professor Emeritus at Pukyong National University, South Sudan

Professor Kyung-Hyune Rhee is a renowned academic and researcher in computer engineering, specializing in information security and blockchain applications. As Professor Emeritus at Pukyong National University, he has led critical advancements in cybersecurity, policy development, and technology education in South Korea. With a strong foundation in scientific research and government advisory roles, Professor Rhee has made substantial contributions to both academia and national cyber policy.

Publication Profile

Scopus

Educational Background 🎓

Master of Science (M.S.), KAIST (Korea Advanced Institute of Science and Technology)
Doctor of Philosophy (Ph.D.), KAIST (Korea Advanced Institute of Science and Technology)

Professional Experience 💼

Current Positions

Professor, Department of IT Convergence and Application Engineering, Pukyong National University
Committee Member, ISMS/ISMS-P Certification
Evaluation Member, National Cyber Security Center
Advisory Member, Southeast Information Security Support Center
Member, Busan Metropolitan City Special Committee on the 4th Industrial Revolution
Advisory Member, Defense Security Research Institute
Policy Advisor, Korea Multimedia Society
Expert Member, Future Security Forum

Former Positions

President, Korea Institute of Information Security and Cryptology
Non-Executive Director, Korea Education and Research Information Service
Committee Member, Busan Metropolitan City Information Committee
Dean of Academic Affairs, CPSC (Philippine-based Intergovernmental Organization)
Director, Information & Computing Center, Pukyong National University
Visiting Professor, University of California, Irvine
Senior Researcher, Electronics and Telecommunications Research Institute (ETRI)

Research Interests 🔬

Computer Engineering
Information Security
Blockchain Applications
Cybersecurity Policy and Certification
Cryptographic Protocols and Network Security

Awards and Honors🏆✨

July 2015: Commendation from the Minister of Science, ICT and Future Planning (for strengthening cybersecurity capabilities)
November 2018: Commendation from the Minister of the Interior and Safety (for contributions to security certification)
July 2021: Order of Service Merit (Geunjeong Medal) – awarded on Information Security Day

Conclusion🌟

Professor Kyung-Hyune Rhee has established himself as a pivotal figure in South Korea’s digital transformation, particularly in the development of national cybersecurity strategies and the integration of blockchain technologies. His extensive academic output—over 450 research papers, 25+ books, and 20 patents—reflects a career dedicated to both scientific excellence and public service. With ongoing influence through advisory roles and policy development, he continues to contribute significantly to the global information security community.

Publications 📚

🧩 Hyperledger Fabric-Powered Network Slicing Handover Authentication
I.T., Etienne Igugu Tshisekedi · M., Firdaus Muhammad · C.N.Z., Latt Cho Nwe Zin · S., Noh Siwan · K., Rhee Kyunghyune
📚 Information Systems Frontiers, 2024
🔗 0 Citations
🧠 Transparent and Accountable Training Data Sharing in Decentralized Machine Learning Systems
S., Noh Siwan · K., Rhee Kyunghyune
📚 Computers, Materials and Continua, 2024
🔗 0 Citations
🔒 A Blockchain-Based Auditable Semi-Asynchronous Federated Learning for Heterogeneous Clients
Q., Zhuohao Qian · M., Firdaus Muhammad · S., Noh Siwan · K., Rhee Kyunghyune
📚 IEEE Access, 2023
🔗 3 Citations
🚗 A Blockchain-Assisted Distributed Edge Intelligence for Privacy-Preserving Vehicular Networks
M., Firdaus Muhammad · H.T., Larasati Harashta Tatimma · K., Rhee Kyunghyune
📚 Computers, Materials and Continua, 2023
🔗 4 Citations
🤖 Personalized Federated Learning for Heterogeneous Data: A Distributed Edge Clustering Approach
M., Firdaus Muhammad · S., Noh Siwan · Z., Qian Zhuohao · H.T., Larasati Harashta Tatimma · K., Rhee Kyunghyune
📚 Mathematical Biosciences and Engineering, 2023
🔗 7 Citations
💬 Commentary: Integrated Blockchain–Deep Learning Approach for Analyzing the Electronic Health Records Recommender System
S., Noh Siwan · M., Firdaus Muhammad · K., Rhee Kyunghyune
📚 Note (Open Access)
🔗 0 Citations
🏥 Secure Federated Learning with Blockchain and Homomorphic Encryption for Healthcare Data Sharing
M., Firdaus Muhammad · K., Rhee Kyunghyune
🔗 0 Citations
👥 Towards Trustworthy Collaborative Healthcare Data Sharing
M., Firdaus Muhammad · K., Rhee Kyunghyune
🔗 3 Citations
🧾 A Blockchain-Based CCP Data Integrity Auditing Protocol for Smart HACCP
S., Noh Siwan · M., Firdaus Muhammad · Z., Qian Zhuohao · K., Rhee Kyunghyune
🔗 1 Citation
🧠 BPFL: Blockchain-Enabled Distributed Edge Cluster for Personalized Federated Learning
M., Firdaus Muhammad · S., Noh Siwan · Z., Qian Zhuohao · K., Rhee Kyunghyune
🔗 6 Citations