Weiwei Song | Spatiotemporal Cloud Computing | Best Researcher Award

Published on 03/04/202505/08/2025 by Innovation Technologist

Dr. Weiwei Song | Spatiotemporal Cloud Computing | Best Researcher Award

Lecturer at Kunming University of Science and Technology, China

Dr. Weiwei Song is a Lecturer at the Faculty of Land Resources Engineering, Kunming University of Science and Technology. He specializes in spatiotemporal cloud computing, large-scale spatial data analytics, spatiotemporal artificial intelligence, and ecological-environmental monitoring. His research has significantly contributed to geospatial technology and natural resource management, with multiple ongoing projects funded by national and provincial agencies.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. in Earth Exploration and Information Technology – Kunming University of Science and Technology (2015)
Postdoctoral Research – George Mason University, USA (2017)

Professional Experience 💼

Lecturer (2018–Present) – Faculty of Land Resources Engineering, Kunming University of Science and Technology
Led multiple research projects in geospatial technology and artificial intelligence applications for environmental monitoring and natural resource management
Guest Editor for Annals of GIS, Special Issue: “Advancements of GIS in the New IT Era”

Research Interests 🔬

Spatiotemporal Cloud Computing
Big Spatiotemporal Data Analytics
Artificial Intelligence in Geospatial Analysis
Ecological-Environmental Monitoring

Awards and Honors🏆✨

2019 – Second Prize, Science & Technology Progress Award (Chinese Society for Surveying, Mapping and Geoinformation)
2020 – Engineering Gold Medal (China Association for Geographic Information Industry)
2021 – First Prize, Yunnan Provincial Geomatics Advancement Award
2022 – Third Prize, Yunnan Science & Technology Progress Award

Conclusion🌟

Dr. Weiwei Song is an accomplished researcher in geospatial sciences, with expertise in cloud computing and artificial intelligence applications for environmental monitoring. His contributions to major government-funded projects and recognition in scientific communities highlight his impact in the field. Through his academic and research endeavors, he continues to advance spatiotemporal data analytics and geospatial technologies, enhancing decision-making processes in natural resource management.

Publications 📚

1️⃣ Wei, Q., et al. (2025). 🛰️ Spatiotemporal estimation of surface NO₂ concentrations in the Pearl River Delta region based on TROPOMI data and machine learning. Atmospheric Pollution Research, 16(3): 102353.

2️⃣ Li, J., et al. (2024). 🌍 Study on Spatio-Temporal Indexing Model of Geohazard Monitoring Data Based on DataStream Clustering Algorithm. ISPRS International Journal of Geo-Information, 13(3): 93.

3️⃣ Chen, J., et al. (2024). 🤖 1DCAE-TSSAMC: Two-Stage Multi-Dimensional Spatial Features Based Multi-View Deep Clustering for Time Series Data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 32(04): 593-623.

4️⃣ You, N., et al. (2023). 🖼️ Research on image denoising in edge detection based on wavelet transform. Applied Sciences, 13(3): 1837.

5️⃣ You, N., et al. (2023). 🏞️ Research on Wavelet Transform Modulus Maxima and OTSU in Edge Detection. Applied Sciences, 13(7): 4454.

6️⃣ Lu, J., et al. (2023). 🍏 A Study of Apple Orchards Extraction in the Zhaotong Region Based on Sentinel Images and Improved Spectral Angle Features. Applied Sciences, 13(20): 11194.

7️⃣ Li, Y., et al. (2023). ☁️ A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment. Applied Sciences, 13(3): 1869.

8️⃣ Song, W. and C. Wu (2021). 🗺️ Introduction to advancements of GIS in the new IT era. Taylor & Francis, 27: 1-4.

9️⃣ Hu, F., et al. (2020). 💾 A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data. International Journal of Digital Earth, 13(3): 410-428.

🔟 Jin, B., et al. (2019). 🛰️ Object-oriented method combined with deep convolutional neural networks for land-use-type classification of remote sensing images. Journal of the Indian Society of Remote Sensing, 47: 951-965.

Chunyan Niu | Acid Related Diseases | Best Researcher Award

Published on 02/04/202502/04/2025 by Innovation Technologist

Prof. Chunyan Niu | Acid Related Diseases | Best Researcher Award

Chief Physician, Professor at Southeast University, China

Dr. Niu Chunyan is a distinguished medical professional specializing in gastroenterology. She holds the titles of Doctor of Medicine, Chief Physician, Professor, and Master’s Supervisor. Dr. Niu is an active member of the Asian Pacific Association for the Study of the Liver (APASL) and serves as an expert evaluator for the Ministry of Education and several academic organizations. Additionally, she is a standing committee member of the Traditional Chinese Medicine Chronic Disease Prevention and Education Committee under the China Medical Education Association and a member of the Jiangsu Non-alcoholic Fatty Liver Disease Academic Alliance Special Committee. She also holds a part-time professorship at Wannan Medical College. Dr. Niu has contributed extensively to academia, serving on the editorial boards of multiple renowned medical journals.

Publication Profile

Orcid

Educational Background 🎓

Doctor of Medicine (M.D.)

Professional Experience 💼

Chief Physician and Professor in Gastroenterology
Master’s Supervisor
Expert in professional degree level assessment, doctoral dissertation evaluation, and CNKI evaluation database
Part-time Professor at Wannan Medical College
Editorial board member of:
- Clinical Hepatobiliary Journal
- World Chinese Digestive Journal
- Practical Medicine Journal
- Chinese Medical Guide
- Chinese Journal of Medical Sciences

Research Interests 🔬

Basic and clinical research on liver diseases
Acid-related diseases
Functional gastrointestinal diseases
Mechanisms and targeted therapies for non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH)
Critical gastrointestinal conditions such as pancreatitis, gastrointestinal bleeding, and liver failure
Helicobacter pylori infection-related diseases

Awards and Honors🏆✨

Published over 80 papers as the first author and corresponding author, including 10+ SCI papers and 8 MEDLINE-indexed papers
Presented research at international conferences:
- 2 Digestive Disease Week (DDW) conferences (2004)
- 3 Asian Pacific Digestive Week (APDW) conferences (2012, 2017)
Deputy editor-in-chief of an undergraduate textbook for the 12th Five-Year Plan
Contributor to three monographs
Principal investigator in multiple research projects:
- 1 National Natural Science Foundation project (first participant)
- 1 Ministry of Health special project
- 5 provincial and ministerial-level projects
- 3 provincial and ministerial key discipline construction projects
- 2 national multi-center research projects
- 1 national-level college student innovation and entrepreneurship training program (2013)
Awarded the Third Prize of the Shaanxi Provincial Higher Education Science and Technology Award for research on acid-related diseases (Project Leader, Project Number 17O10)

Conclusion🌟

Dr. Niu Chunyan is a highly accomplished expert in gastroenterology, with extensive experience in clinical practice, medical research, and academic mentorship. Her contributions to the understanding and treatment of liver diseases, acid-related disorders, and critical digestive conditions have been recognized through prestigious publications, awards, and leadership roles in national and international medical communities. She continues to advance the field through her ongoing research and dedication to medical education and professional development.

Publications 📚

📌 Amitriptyline inhibits NLRP3 inflammasome activation via the ASM/CE pathway in a cell model of NAFLD
📖 Biocell, 2024
🔗 DOI: 10.32604/biocell.2024.048551
👥 Authors: Liu, Q.; Niu, C.; Zhang, Q.; Sun, S.; Chen, Y.; Shi, Y.

📌 The Absence of STING Ameliorates Non-Alcoholic Fatty Liver Disease and Reforms Gut Bacterial Community
📖 Frontiers in Immunology, 2022
🔗 DOI: 10.3389/fimmu.2022.931176
👥 Authors: Zhang, Q.; Chen, Q.; Yan, C.; Niu, C.; Zhou, J.; Liu, J.; Song, Y.; Zhou, F.; Fan, Y.; Ren, J.

📌 Application of potassium competitive acid blockers in acid-related diseases (钾离子竞争性酸阻滞剂在酸相关疾病中的应用)
📖 World Chinese Journal of Digestology, 2021
🔗 DOI: 10.11569/wcjd.v29.i8.383
👥 Authors: Niu, C.-Y.; Luo, X.-C.

📌 Effect of amitriptyline on lipid deposition and biochemical metabolism in a cell model of NAFLD (阿米替林对非酒精性脂肪性肝病细胞模型脂质沉积及生化代谢的影响)
📖 Journal of Clinical Hepatology, 2021
🔗 DOI: 10.3969/j.issn.1001-5256.2021.01.020
👥 Authors: Liu, Q.; Zhang, Q.; Wu, F.; Yan, R.; Li, R.; Wang, J.; Niu, C.

📌 Liraglutide alleviates lipotoxic liver cell damage and promotes autophagy to improve NAFLD
📖 Chinese Journal of Hepatology, 2021
🔗 DOI: 10.3760/cma.j.cn501113-20200427-00219
👥 Authors: Zhang, Q.; Liu, Q.; Niu, C.Y.

📌 Application prospects of GLP-1 receptor agonists in treatment of metabolic diseases (胰高血糖素样肽-1受体激动剂在代谢性疾病治疗中的应用前景)
📖 World Chinese Journal of Digestology, 2020
🔗 DOI: 10.11569/wcjd.v28.i11.393
👥 Authors: Zhang, Q.; Zhang, X.-F.; Niu, C.-Y.

📌 Bioinformatics analysis reveals novel core genes associated with NAFLD and NASH
📖 Gene, 2020
🔗 DOI: 10.1016/j.gene.2020.144549
👥 Authors: Feng, G.; Li, X.-P.; Niu, C.-Y.; Liu, M.-L.; Yan, Q.-Q.; Fan, L.-P.; Li, Y.; Zhang, K.-L.; Gao, J.; Qian, M.-R.

📌 Hepatic macrophage-targeted therapy for fatty liver disease: Opportunities and challenges (肝巨噬细胞靶向治疗脂肪性肝病及相关肝癌的机遇与挑战)
📖 Journal of Clinical Hepatology, 2020
🔗 DOI: 10.3969/j.issn.1001-5256.2020.06.045
👥 Authors: Niu, C.; Zhao, X.

📌 Influence of drinking on NAFLD (饮酒对非酒精性脂肪性肝病的影响)
📖 Journal of Clinical Hepatology, 2020
🔗 DOI: 10.3969/j.issn.1001-5256.2020.11.044
👥 Authors: Niu, C.; Zhang, Q.; Zhao, X.

📌 Reexamination of the diagnosis of fatty liver disease under the background of disease spectrum progression (疾病谱进展背景下脂肪性肝病诊断的重新审视)
📖 Journal of Clinical Hepatology, 2020
🔗 DOI: 10.3969/j.issn.1001-5256.2020.10.043
👥 Authors: Niu, C.; Liu, Q.; Luo, X.

Yuxin Ma | Neuroscience | Best Researcher Award

Published on 02/04/202502/04/2025 by Innovation Technologist

Dr. Yuxin Ma | Neuroscience | Best Researcher Award

DR at Guangdong Pharmaceutical University, China

Dr. Yuxin Ma is a neuroscientist affiliated with Guangdong Pharmaceutical University. Her research focuses on neuropharmacology, particularly the effects of natural compounds on pain mechanisms and their affective comorbidities. She has made significant contributions to understanding the neural pathways involved in pain processing and has authored a high-impact study on the analgesic effects of astragalin.

Publication Profile

Scopus

Educational Background 🎓

Institution: Guangdong Pharmaceutical University
Field of Study: Neuroscience

Professional Experience 💼

Designation: Researcher at Guangdong Pharmaceutical University
Key Responsibilities: Leading research on neuropharmacology, particularly investigating the therapeutic effects of natural compounds in pain modulation.

Research Interests 🔬

Neuropharmacology of natural compounds
Neural mechanisms underlying pain and associated affective disorders
Autophagy and neuronal excitability in pain pathways

Conclusion🌟

Dr. Yuxin Ma’s research significantly advances the understanding of pain modulation through natural compounds. Her work on astragalin provides groundbreaking insights into its dual role in inhibiting neuronal excitability and promoting autophagy, paving the way for novel neurotherapeutic approaches. She remains committed to expanding the field of neuroscience and neuropharmacology through innovative research and collaboration.

Publications 📚

📄 Article: Astragalin relieves inflammatory pain and negative mood in CFA mice by down-regulating mGluR5 signaling pathway
👥 Authors: R. Zhang, Runheng; J. Lin, Jiahong; S. Wang, Shuhan; … L. Zhang, Li; Y. Ma, Yuxin
📚 Journal: Scientific Reports, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

📄 Article: Astragalin activates autophagy and inhibits apoptosis of astrocytes in AD mice via down-regulating Fas/Fasl-VDAC1 pathway
👥 Authors: S. Wang, Shuhan; Y. Yang, Yaqi; J. Lin, Jiahong; … X. Jin, Xiaobao; Y. Ma, Yuxin
📚 Journal: Free Radical Biology and Medicine, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

📄 Article: Astragalin inhibits neuronal excitability and activates neuronal autophagy in the ACC and LH of CFA mice to alleviate inflammatory pain and pain-related emotions
👥 Authors: J. Lin, Jiahong; W. Zhang, Weishan; S. Wang, Shuhan; … X. Jin, Xiaobao; Y. Ma, Yuxin
📚 Journal: International Immunopharmacology, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

Ke Wang | Travel Demand Modeling | Best Researcher Award

Published on 02/04/202502/04/2025 by Innovation Technologist

Assoc. Prof. Dr. Ke Wang | Travel Demand Modeling | Best Researcher Award

Associate Professor at University of Shanghai for Science and Technology, China

Ke Wang is an Associate Professor at the University of Shanghai for Science and Technology, specializing in travel behavior analysis, travel demand modeling, sustainable mobility, and data mining. His research contributions focus on advanced econometric models and machine learning techniques for understanding travel behavior and transportation systems. With over 190 citations, an H-index of 7, and an i-10 index of 6, Ke Wang has published extensively in high-impact transportation journals and conferences.

Publication Profile

Scopus

Educational Background 🎓

Joint Ph.D. in Transportation Engineering (2018.09 – 2019.09)
- University of Texas at Austin
- Supervisor: Prof. Chandra R. Bhat
Ph.D. in Transportation Engineering (2015.09 – 2021.01)
- Tongji University
- Supervisor: Prof. Xin Ye
B.E. in Transportation Engineering (2011.09 – 2015.06)
- Chang’an University

Professional Experience 💼

Associate Professor (2024.07 – Present)
- University of Shanghai for Science and Technology
Assistant Professor (2021.06 – 2024.06)
- University of Shanghai for Science and Technology
Research Assistant (2018.09 – 2019.09)
- Center for Transportation Research, University of Texas at Austin
Research Assistant (2013.12 – 2015.06)
- Institute of Regional and Urban Transportation Economics, Chang’an University

Research Interests 🔬

Travel Behavior Analysis & Travel Demand Modeling
Sustainable Mobility & Urban Transportation Planning
Advanced Econometric & Machine Learning Models for Transportation
Shared Autonomous Vehicles & Ride-Hailing Services
Public Transport Accessibility & Mode Choice Analysis

Conclusion🌟

Ke Wang is a rising scholar in transportation engineering, contributing innovative methodologies to travel behavior modeling and sustainable mobility. His research integrates statistical modeling, artificial intelligence, and urban transportation systems to inform policy decisions. His extensive publication record in top-tier journals (SSCI, SCI, JCR Q1-Q3) demonstrates his influence in the field.

Publications 📚

📄 Article | ✈️ Urban Air Mobility & Flying Cars
Title: Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars
Authors: S. Hu, Z. Huang, K. Wang, H. Lin, M. Pei
Journal: Multimodal Transportation (2025)
📌 Citations: 0

📄 Article | 🚲 E-Bike Helmet Usage & Safety
Title: Deconstructing the barriers and facilitators of e-bike helmet usage: A structural equation modeling approach
Authors: M. Pei, Z. Huang, K. Wang, X. Ye
Journal: Journal of Transport and Health (2025)
📌 Citations: 0

📄 Article | 🚗 Mobility as a Service (MaaS) & Face Consciousness
Title: The effects of face consciousness on young travelers’ intention to adopt mobility as a service (MaaS): A case study in Shanghai, China
Authors: J. Wen, H. Gan, K. Wang, Y. Huang, H. Lu
Journal: Research in Transportation Economics (2025)
📌 Citations: 0

📄 Article | ⚡ EV Range Anxiety & Willingness to Pay
Title: Range anxiety and willingness to pay: Psychological insights for electric vehicles
Authors: M. Pei, Z. Huang, Z. Zhang, K. Wang, X. Ye
Journal: Journal of Renewable and Sustainable Energy (2025)
📌 Citations: 0

📄 Article | 🌍 Carbon Emissions & Power Sector Transformation
Title: Carbon emission drivers of China’s power sector and its transformation for global decarbonization contribution
Authors: L. Zhao, K. Wang, H. Yi, J. Zhen, H. Hu
Journal: Applied Energy (2024)
📌 Citations: 4

Jatinder Kumar | Health Care Services | Best Researcher Award

Published on 29/03/202529/03/2025 by Innovation Technologist

Dr. Jatinder Kumar | Health Care Services | Best Researcher Award

IT Professional at PGIMER, Chandigarh, India

Dynamic IT professional with over 25 years of experience in software development, network infrastructure, and IT solutions. Specializes in full-stack development, cloud computing (AWS, Azure), network security, and virtualization technologies. Experienced in integrating business strategy with technology to enhance IT operations. Holds extensive expertise in hospital information systems, data analytics, and artificial intelligence applications in healthcare.

Publication Profile

Scopus

Educational Background 🎓

PhD in Computer Science, Chitkara University (2024)
Master of Philosophy (Computer Science), MMU, Sadopur, Ambala, Haryana (2013)
Master of Business Administration (MBA), Panjab University, Chandigarh (2006)
Master of Computer Applications (MCA), Panjab University, Chandigarh (1997)
Bachelor of Science (B.Sc.), M.A.M. College, Jammu (1994)

Professional Experience 💼

Software Engineer, Trident InfoTech Corporation Limited, Chandigarh
- Developed software solutions and contributed to system design and deployment.
- Worked on enterprise-level applications for various industries.
Computer Programmer, PGIMER, Chandigarh (Since 2001)
- Key contributor to the implementation of the Hospital Information System (HIS) for a 2,500-bed hospital.
- Designed and developed the inventory module using process flow diagrams and entity-relationship diagrams.
- Enhanced patient care, reduced wait times, and streamlined administrative workflows.
- Involved in system integration, cloud-based solutions, and data migration strategies.

Research Interests 🔬

Artificial intelligence and deep learning applications in healthcare.
Medical imaging and thyroid nodule analysis using deep learning models.
Multi-agent system frameworks for efficient hospital administration.
Cloud computing and security solutions for healthcare IT systems.
e-Governance and digital transformation in public healthcare.

Awards and Honors🏆✨

Best Paper Presentation, TELEMEDICON 2024, PGIMER, Chandigarh.
Best Paper Presentation, ICAAIML 2024, Hyderabad, India.
First Prize in Yoga Competition, International Yoga Day 2024, PGIMER, Chandigarh.
Represented Chandigarh in National Yoga Competitions in Telangana and Rajasthan.
Conducting yoga classes and educational support for underprivileged children in Chandigarh.
Various professional certifications in hardware, Oracle, and MCSE.

Conclusion🌟

With an extensive background in IT, healthcare systems, and artificial intelligence, the author has made significant contributions to hospital information systems and deep learning applications in medical imaging. His research and professional work have enhanced patient care and operational efficiency in healthcare institutions. Recognized for academic excellence and community service, he continues to drive innovation in AI-driven healthcare solutions and IT infrastructure development.

Publications 📚

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023, December). Deep Learning for Improved Thyroid Nodule Analysis in Ultrasound Images. INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS (IJRAR.ORG), Volume 10, Issue 4.

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023). Utilizing Deep Learning Models for the Classification of Thyroid Nodules in Ultrasound Images. The International Journal of Engineering and Science (IJES), Volume 12, Issue 11, Pages 18-31.

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023, December). An Overview of Deep Learning Methods for Segmenting Thyroid Ultrasound Images. International Journal of Advanced Engineering and Nano Technology (IJAENT), ISSN: 2347-6389 (Online), Volume 10, Issue 12.

📖 Kumar, J., Panda, S.N., Dayal, D., & Sharma, M. (2024). Enhancing Thyroid Nodule Assessment with Deep Learning and Ultrasound Imaging. e-Prime – Advances in Electrical Engineering, Electronics, and Energy (Scopus). (Submitted after revision, awaiting acceptance letter.)

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2023, November). Deep learning routes to thyroid ultrasound image segmentation: A review. AIP Conference Proceedings, Vol. 2878, No. 1. AIP Publishing.

🎙️ Kumar, J., Panda, S.N., Dayal, D., & Sharma, M. (2023, September). Review of Deep Learning Techniques Over Thyroid Ultrasound Image Segmentation. 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), pp. 320-326. IEEE.

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2023). Pediatric Thyroid Ultrasound Image Classification Using Deep Learning: A Review. Chitkara University Doctoral Consortium – CUDC 2023.

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2024). Improving Thyroid Nodule Evaluation Using Deep Learning and Ultrasound Imaging. National Telemedicine Conference – TELEMEDICON 2024, held in Chandigarh (November 28-30, 2024).

Muhammad Awais | Feminism | Best Researcher Award

Published on 29/03/202529/03/2025 by Innovation Technologist

Mr. Muhammad Awais | Feminism | Best Researcher Award

Postdoctoral Research Associate at University of Sharjah, United Arab Emirates

Dr. Muhammad Awais is a Postdoctoral Fellow at the College of Communication, University of Sharjah. He was a former Research Scholar at Harvard University’s Faculty of Arts and Sciences and has earned a Ph.D. in Communication Studies from the University of the Punjab. With a strong background in qualitative and quantitative research, he specializes in media and communication studies, social media analysis, and data-driven research methodologies. Additionally, he is a certified NVivo and MAXQDA expert, skilled in data analysis with R and Python, and has conducted numerous international workshops on research methodologies.

Publication Profile

Orcid

Educational Background 🎓

Research Scholar (2022) – Harvard University, U.S.
Courses: Quantitative and Qualitative Research Methods
Ph.D. in Communication Studies (2018-2023) – University of the Punjab, Pakistan
Dissertation: Infotainment Consumption on Pakistani News Channels
MPhil in Communication Studies (2015-2017) – University of the Punjab, Pakistan
Dissertation: Satirical Language in Infotainment Programs
Master’s in Mass Communication (2013-2015) – Bahauddin Zakariya University, Pakistan
Silver Medalist

Professional Experience 💼

Academic Positions

Postdoctoral Research Associate (2024-Present) – University of Sharjah
- Assists research groups in data collection and analysis
- Organizes and contributes to research conferences on AI
Lecturer & Head of Department (2018-2024) – UMT, Pakistan
- Taught research methods, mass communication, and digital media
- Supervised MPhil theses and managed the department
Research Assistant (2018-2020, 2020) – University of the Punjab
- Contributed to funded projects on media education and self-censorship in South Asia

Industry Experience

Senior Content Writer (2016-2018) – Khaleef Technologies, Pakistan
- Wrote scripts and articles for Jazz Cricket
Digital Media Consultant (2017-2018) – Paigham TV, Pakistan
- Managed social media and SEO strategies
Script Writer & Editor (2016) – 92 News HD, Pakistan
- Worked on the TV program Haqeeqat
Social Media Manager (2018) – Youth General Assembly, Pakistan
- Led an awareness campaign for Pakistan’s General Elections
Communication Specialist (2013-2016) – Pink Ribbon, Pakistan
- Managed communication strategies for the NGO

Research Interests 🔬

Media and Communication Studies
Infotainment and Political Communication
Digital Media and Society
Qualitative & Quantitative Research Methods
Social Media Analytics & Public Perception
AI and Computational Research in Social Sciences

Awards and Honors🏆✨

Silver Medalist – Master’s in Mass Communication (Bahauddin Zakariya University)
Certified NVivo & MAXQDA Expert & Trainer
Certified Advisor – Mendeley Reference Management
Harvard Research Scholar (2022) – Faculty of Arts and Sciences

Conclusion🌟

Dr. Muhammad Awais is a distinguished academic and researcher with extensive experience in media studies, social media analytics, and qualitative research methods. His expertise spans academia, industry, and digital communication, making significant contributions through research, teaching, and training. His work continues to impact the fields of media, communication, and AI-driven research methodologies.

Publications 📚

The Annual Struggle for Equality: Analysis of Aurat March Coverage in Pakistan’s English Print Media (2018–2024)
📖 Women’s Studies International Forum
🔗 DOI: 10.1016/J.WSIF.2025.103088
✍️ Contributors: Muhammad Awais; Farahat Ali
Uses and Gratification Analysis of the Viewers of Infotainment Programs of Pakistan
📖 Gomal University Journal of Research
🔗 DOI: 10.51380/GUJR-38-03-07
✍️ Contributors: Muhammad Awais; Noshina Saleem
When Technology Becomes a Policing Agent: Effects of Raids on Restaurants in Leading Crime Shows on the Youth of Pakistan
📖 International Journal of Media and Information Literacy
🔗 DOI: 10.13187/ijmil.2022.1.18
✍️ Contributors: Awais, M.; Ali, F.
Health-Related Information Seeking During COVID-19: Testing the Comprehensive Model of Information Seeking on University Students of Pakistan
📖 International Journal of Media and Information Literacy
🔗 DOI: 10.13187/IJMIL.2021.1.201 & 10.13187/IJMIL.2021.2.406
✍️ Contributors: Shaheen, H.; Ali, F.; Awais, M.; Saeed, M.
Social Media Use and Political Polarization: The Mediating Role of Political Engagement and Political Loyalty
📖 International Journal of Media and Information Literacy
🔗 DOI: 10.13187/IJMIL.2021.1.34
✍️ Contributors: Ali, F.; Awais, M.; Faran, M.
Social Media Use and Self-Sexualization Behaviour Among University Girls: A Serial Mediation Approach
📖 Mediaobrazovanie-Media Education
🔗 DOI: 10.13187/ME.2021.2.338
✍️ Contributors: Maqbool, K.; Ali, F.; Awais, M.; Nadeem, M. A.
Media Exposure and Fear About Crime: An Application of Mediated Fear Model
📖 The Journal of Social Sciences Research
🔗 DOI: 10.32861/JSSR.67.720.726
✍️ Contributors: Muhammad Awais; Sohail Abbas; Farahat Ali; Ali Ashraf
Media Objectification and Women Clothing Buying Behavior: Social Comparison and Self-Gratification as Mediators
📖 International Journal of Media and Information Literacy
🔗 DOI: 10.13187/IJMIL.2020.2.227
✍️ Contributors: Zaidi, A.; Hanan, A.; Ali, F.; Awais, M.
Rendering Muslims as Terrorists in the English Comic Books: Analysis of Liberty for All and Holly Terror
📖 The Journal of Social Sciences Research
🔗 DOI: 10.32861/JSSR.68.785.796
✍️ Contributors: Saba Ijaz; Muhammad Awais; Mudasar Ali Nadeem; Farahat Ali
Social Media Use and Political Polarization: Political Engagement as a Mediator
📖 The Journal of Social Sciences Research
🔗 DOI: 10.32861/JSSR.68.804.810
✍️ Contributors: Kinza Amjad; Muzammil Saeed; Farahat Ali; Muhammad Awais

Nawaz Ali | Engineering | Best Researcher Award

Published on 28/03/202528/03/2025 by Innovation Technologist

Mr. Nawaz Ali | Engineering | Best Researcher Award

Student at University of Calabria, Sweden

Nawaz Ali is a telecommunications engineer, researcher, and academic with extensive experience in telecommunication networks, database management, and technical education. He has worked in various capacities, including industry roles in GSM networks, IT assistance, and academia, where he has contributed to research and curriculum development. His research interests focus on wireless communications, cognitive radio, vehicular networks, and cloud-based applications.

Publication Profile

Google Scholar

Educational Background 🎓

Master of Science in Applied Telecommunications and Engineering Management (MASTEAM)
- Polytechnic University of Catalonia (BarcelonaTech), Spain (2017-2018)
- Thesis: Performance Comparison of a Platooning Scenario Using EE 802.11p
Master of Science in Mobile and Satellite Communication
- University of Surrey, UK (2009-2010)
- Thesis: Performance Evaluation of Spectrum Sensing Techniques in Cognitive Radio
Bachelor of Engineering in Telecommunication Engineering
- Mehran University of Engineering & Technology, Pakistan (2004-2007)
- Thesis: Block Error Rate Analysis for WCDMA
Certifications & Training:
- 5G Implementation: Practices and Case Studies (ITU/Universiti Teknologi Malaysia, 2021)
- Introduction to Internet of Things (IoT) Certification (Simplilearn, 2021)
- Wireless Networks Certification Training (CellCom, 2005)
- Optical Fiber Specialization (NA Telecom Technologies, 2006)
- CCNA 5.0 (Computer Training and Testing Center, 2006)
- Graduate Record Examination (GRE) (Score: 329/340)

Professional Experience 💼

Assistant Professor (2014 – Present)
- Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)
- Teaching and supervising projects related to telecommunication engineering.
Director Skill Standards & Curricula (BS-19) (2013)
- National Vocational & Technical Training Commission (Pakistan)
- Developed national occupational standards and curricula for technical training programs.
Assistant Professor (2011-2013)
- Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)
- Delivered courses in telecommunication engineering.
IT Assistant (2009-2010)
- Shabester-Accountants & Tax Advisors (UK)
- Managed database security, recovery, and user training.
BSS Engineer (2008-2009)
- Egyptian Pakistani Telecommunications Services (EPTSC) (Pakistan)
- Installed and maintained GSM networks and microwave transmission links.

Research Interests 🔬

Wireless Communication Networks
Cognitive Radio & Spectrum Sensing
Internet of Things (IoT)
Vehicular Ad-Hoc Networks (VANETs)
Machine Learning for Communication Systems

Awards and Honors🏆✨

Secured research grants and collaborations in telecommunications.
Recognized for contributions to vocational education and training programs.
High GRE score (329/340).

Conclusion🌟

Nawaz Ali is an accomplished telecommunications engineer, educator, and researcher with expertise in mobile communication, network security, and IoT applications. His work spans both academia and industry, focusing on wireless networks and emerging technologies. His contributions to curriculum development and technical training have played a crucial role in advancing vocational and higher education in telecommunications.

Publications 📚

📌 Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud
📖 A. Lakhan, J. Li, T.M. Groenli, A.H. Sodhro, N.A. Zardari, A.S. Imran, …
📚 Electronics 10(22), 2797 (2021)
📊 Citations: 30

🚗 Adaptive Mobility-Aware and Reliable Routing Protocols for Healthcare Vehicular Network
📖 N.A. Zardari, R. Ngah, O. Hayat, A.H. Sodhro
📚 Mathematical Biosciences and Engineering 19(7), 7156-7177 (2022)
📊 Citations: 18

📡 Spectrum Sensing in ISM Band Using Cognitive Radio
📖 N. Sohu, N.A. Zardari, M.A. Rahu, A.A. Mirani, N.H. Phulpoto
📚 Quaid-E-Awam University Research Journal of Engineering, Science … (2019)
📊 Citations: 11

🖥 Implementation of Huffman Decoder on FPGA
📖 S.A. Dahri, A.F. Chandio, N.A. Zardari
📚 International Journal of Engineering Research & Applications 6(1), 84-88 (2016)
📊 Citations: 2

☁️ Simulators for System Dataset Generation in the Edge-to-Cloud Continuum
📖 N. Ali, G. Aloi, P. Pace, M. Gianfelice, F. Pupo, R. Gravina, G. Fortino
📚 20th International Conference on Distributed Computing in Smart Systems (2024)
📊 Citations: 1

🏭 Edge-Cloud Continuum Driven Industry 4.0
📖 N. Ali, G. Aloi, F. De Rango, C. Savaglio, R. Gravina
📚 Procedia Computer Science 253, 2586-2594 (2025)

🎨 Design and Development of GUI for the Mitigation of Chromatic Dispersion: A New Approach
📖 B. Das, N.A. Zardari, F. Deeba, D.K. Ramnani
📚 Sukkur IBA Journal of Emerging Technologies 5(1), 19-31 (2022)

Meng-Chun Kao | Sustainable Development | Best Researcher Award

Published on 28/03/202528/03/2025 by Innovation Technologist

Prof. Meng-Chun Kao | Sustainable Development | Best Researcher Award

Department of Business Administration at Yuanpei University of Medical Technology, Taiwan

Dr. Meng-Chun Kao is an Associate Professor in the Department of Business Administration at Yuanpei University of Medical Technology, Taiwan. With expertise in accounting, finance, business management, and AI applications, she has published extensively in high-impact journals and contributed to innovative teaching methodologies. Her research integrates technology, sustainability, and education to improve business practices.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. (2008) – Accounting, Graduate School of Management, Yuan Ze University, Taiwan
M.B.A. (1999) – Finance, Graduate School of Management, Yuan Ze University, Taiwan
B.B.A. (1996) – Business Administration, Tamkang University, Taiwan

Professional Experience 💼

Associate Professor (2022–Present), Yuanpei University of Medical Technology
Assistant Professor (2008–2022), Yuanpei University of Medical Technology
Lecturer & Chair (1999–2008), Nanya Institute of Technology & Chin-Min Institute of Technology
Deputy Director (2001–2002), Chinese Management Elite Association

Research Interests 🔬

Accounting & Finance
Business Management
Teaching Innovation
Sustainable Development
Big Data Analysis & AI Applications

Awards and Honors🏆✨

Model Teacher Award, Private Education Association of ROC (2024)
Excellent Teaching Award, Yuanpei University of Medical Technology (2024)
Outstanding Research Award, Yuanpei University of Medical Technology (2022–2023)
Outstanding Talent Award, National Science and Technology Council (2022, 2024)
Excellence in Teaching Award (2020–2023)

Conclusion🌟

Dr. Kao is a distinguished researcher and educator recognized for her contributions to business education, sustainability, and AI applications. Her innovative approaches in gamified learning and big data analysis have significantly impacted academic and industry practices.

Publications 📚

1️⃣ Chiu, M. C., Tu, Y. L., & Kao, M. C.* (2025). Integrating TPB and Gamification to Promote Green Eating Behaviors: A Case Study of Food Carbon Footprint Tracking System. 🌍 Environmental Development, 101153. (SCI, IF: 4.7, Q2 in Environmental Sciences)

2️⃣ Kao, M. C., Yuan, Y. H., & Wang, Y. X. (2023). The study on designed gamified mobile learning model to assess students’ learning outcome of accounting education. 🎮📚 Heliyon, 9, e13409. (SCI, IF: 3.4, Q1 in Multidisciplinary Sciences) 🏅 Best Researcher Award

3️⃣ Chiu, M. C., Wei, C. J., Wang, Y. C., & Kao, M. C.* (2023). Applying unsupervised learning method to develop a regional risk model based on TCFD: A case study in the United States. 🌱💻 Journal of Cleaner Production, 400, 136669. (SCI, IF: 9.8, Q1 in Environmental Sciences)

4️⃣ Chiu, M. C., Tu, Y. L., & Kao, M. C.* (2022). Applying deep learning image recognition technology to promote environmentally sustainable behavior. 🤖♻️ Sustainable Production and Consumption, 31, 736–749. (SCI, SSCI, IF: 10.1, Q1 in Green & Sustainable Science & Technology)

5️⃣ Huang, H. C., Lai, M. C., Kao, M. C., & Sung, C. H. (2014). A Team-Learning Framework for Business Model Innovation in an Emerging Market. 👥💡 Journal of Management & Organization, 20(1), 100–120. (SSCI, IF: 3.1, Q2 in Management)

6️⃣ Huang, H. C., Lai, M. C., Kao, M. C., & Chen, Y. C. (2012). Target Costing, Business Model Innovation, and Firm Performance: An Empirical Analysis of Chinese Firms. 📊🇨🇳 Canadian Journal of Administrative Sciences, 29(4), 322–335. (SSCI, IF: 1.2, Q3 in Management)

7️⃣ Lai, M. C., Wang, W. K., Huang, H. C., & Kao, M. C. (2011). Linking the Benchmarking Tool to a Knowledge-based System for Performance Improvement. 📈🤖 Expert Systems with Applications, 38(8), 10579–10586. (SCI, IF: 7.5, Q1 in AI)

8️⃣ Kao, M. C.* (2025). The impact of corporate sustainability announcements and the COVID-19 pandemic on stock prices: Evidence from the Taiwan stock market. 💹 Journal of Accounting, Finance & Management Strategy, Accepted. (EconLit)

9️⃣ Kao, M. C.* (2021). Impact of COVID-19 Pandemic on Different Industries in Taiwan Stock Market—A Case Study of Electronics and Biotech Industries. 📉🦠 Journal of Accounting, Finance & Management Strategy, 16(2), 137–158. (EconLit)

🔟 Chen, Y. H., & Kao, M. C.* (2015). The Effects of Acquisition Targets, Diversification and Market Power on Cost Efficiency: Evidence from Taiwanese Banks. 🏦📊 International Business Research, 8(2), 71–82. (EconLit)

Sandeep Jain | High Entropy Alloys | Best Researcher Award

Published on 26/03/202526/03/2025 by Innovation Technologist

Dr. Sandeep Jain | High Entropy Alloys | Best Researcher Award

Post Doctoral Researcher at Sungkyunkwan University, India

Dr. Sandeep Jain is a metallurgical engineer and materials scientist specializing in the design and development of high-entropy alloys (HEAs) and lightweight materials. His research focuses on integrating machine learning with alloy design, solidification simulation, and materials characterization. Dr. Jain has published extensively in high-impact journals, contributing to advancements in high-temperature materials, additive manufacturing, and computational modeling. He has also served as a guest editor and peer reviewer for multiple scientific journals.

Publication Profile

Scopus

Orcid

Educational Background 🎓

Ph.D. in Metallurgical Engineering and Materials Science (2017-2023)
- Indian Institute of Technology Indore (CGPA: 8.67)
M.Tech in Metallurgical Engineering and Materials Science (2015-2017)
- Indian Institute of Technology Indore (CGPA: 8.75)
B.E. in Mechanical Engineering (2009-2013)
- MBM Engineering College Jodhpur (Percentage: 68%)

Professional Experience 💼

International Research Professor (Assistant Professor) (March 2025 – Present)
- Yeungnam University, South Korea
- Researching lightweight refractory HEAs for high-temperature applications using machine learning and experimental methods.
Postdoctoral Researcher (Nov 2023 – Feb 2025)
- Sungkyunkwan University, South Korea
- Designing novel lightweight multicomponent alloys using machine learning.
- Optimizing injection molding simulation parameters.
Research Associate (April 2023 – Oct 2023)
- Indian Institute of Technology Delhi
- Investigated mechanical and creep behavior of Ni-based superalloys using EBSD analysis.
- Developed a sustainable plating method for rose gold coatings.
Project Associate (Dec 2022 – March 2023)
- Indian Institute of Technology Indore
- Designed lightweight Ni-based multi-component alloys using machine learning.
Ph.D. Research Scholar (Dec 2017 – Nov 2022)
- Indian Institute of Technology Indore
- Conducted phase equilibria studies and mechanical property analysis of multicomponent alloys.
- Performed solidification simulation using ANSYS Fluent.

Research Interests 🔬

High-Entropy Alloys (HEAs) for high-strength and high-temperature applications.
Machine learning-driven alloy design and materials development.
Solidification simulation analysis and computational materials science.
Additive manufacturing and advanced materials processing.
Materials characterization techniques such as EBSD, SEM, and XRD.

Awards and Honors🏆✨

Global Best Achievement Awards 2024
International Academic Achievement Award 2024
Ph.D. and M.Tech Fellowship (MHRD, Government of India)
GATE 2015 Qualified (Score: 663)
GATE 2013 Qualified (Score: 426)

Conclusion🌟

Dr. Sandeep Jain is an accomplished researcher with a strong background in metallurgical engineering and materials science. His expertise in high-entropy alloys, computational modeling, and machine learning-driven materials design has led to numerous high-impact publications. With experience in academia and international research collaborations, he continues to contribute to cutting-edge advancements in lightweight and high-temperature materials. His role as a peer reviewer, guest editor, and conference presenter underscores his leadership in the field. Dr. Jain seeks to further his research career through interdisciplinary collaborations and innovative approaches in materials science.

Publications 📚

📌 Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications
📅 2025-12-31 | 📖 Science and Technology of Advanced Materials
🔗 DOI: 10.1080/14686996.2025.2449811
👥 Contributors: Sandeep Jain, Ayan Bhowmik, Jaichan Lee

📌 Reducing experimental dependency: Machine-learning-based prediction of Co effects on the mechanical properties of AlCrFeNiCox high-entropy alloys
📅 2025-03 | 📖 Materials Today Communications
🔗 DOI: 10.1016/j.mtcomm.2025.112055
👥 Contributors: Sandeep Jain, Reliance Jain, Naresh Kumar Wagri, Ajay Singh Sikarwar, Shweta J. Khaire, Sheetal Kumar Dewangan, Yongho Jeon, Byungmin Ahn

📌 A Machine Learning Perspective on Hardness Prediction in Advanced Multicomponent Al-Mg Based Lightweight Alloys
📅 2024 | 📖 SSRN
🔗 DOI: 10.2139/ssrn.4715816
👥 Contributors: Sandeep Jain, Reliance Jain, Sheetal Kumar Dewangan, Ayan Bhowmik

📌 A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys
📅 2024 | 📖 Materials Letters
🔗 DOI: 10.1016/j.matlet.2024.136473
👥 Contributors: Sandeep Jain, Reliance Jain, Sheetal Kumar Dewangan, Ayan Bhowmik

📌 Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques
📅 2024 | 📖 Journal of Materials Research and Technology
🔗 DOI: 10.1016/j.jmrt.2024.03.164
👥 Contributors: Sheetal Kumar Dewangan, Reliance Jain, Subhankar Bhattacharjee, Sandeep Jain, Mukesh Paswan, Sumanta Samal, Byungmin Ahn

📌 Influence of Friction Stir Processing on Novel Designed Aluminium-Based Alloy to Enhance Strength and Ductility
📅 2024 | 📖 Arabian Journal for Science and Engineering
🔗 DOI: 10.1007/s13369-023-08063-6
👥 Contributors: Sandeep Jain, Mahesh Patel, Jayaprakash Murugesan, Sumanta Samal

📌 Machine learning-driven insights into phase prediction for high entropy alloys
📅 2024 | 📖 Journal of Alloys and Metallurgical Systems
🔗 DOI: 10.1016/J.JALMES.2024.100110
👥 Contributors: Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, Lokesh Kumar Boriwal, Sumanta Samal

📌 Effect of Ta on the Evolution of Phases and Mechanical Properties of Novel Seven Components Fe–Co–Ni–Cr–V–Al–Ta Eutectic High Entropy Alloys: Experimental Study and Numerical Simulation
📅 2024-09 | 📖 Transactions of the Indian National Academy of Engineering
🔗 DOI: 10.1007/s41403-024-00455-w
👥 Contributors: Sandeep Jain, Reliance Jain, Vinod Kumar, Sumanta Samal

📌 Investigation of Mechanical Properties, Fretting Wear, and Corrosion Behaviour of AA6063/Si₃N₄ Nanocomposites Fabricated via Friction Stir Processing
📅 2024-09-12 | 📖 Arabian Journal for Science and Engineering
🔗 DOI: 10.1007/s13369-024-09551-z
👥 Contributors: Mahesh Patel, Sandeep Jain, Jayaprakash Murugesan

📌 Optimization of flow behavior models by genetic algorithm: A case study of aluminum alloy
📅 2024-07 | 📖 Journal of Materials Research and Technology
🔗 DOI: 10.1016/j.jmrt.2024.07.048
👥 Contributors: Sijia Li, Wenning Chen, Sandeep Jain, Dongwon Jung, Jaichan Lee

EL Mokhtar Darkaoui | 2D and 3D Materials Based DFT | Best Researcher Award

Published on 26/03/202526/03/2025 by Innovation Technologist

Mr. EL Mokhtar Darkaoui | 2D and 3D Materials Based DFT | Best Researcher Award

Ph.d at Sultan Moulay Slimane University, Morocco

DARKAOUI EL Mokhtar is a Ph.D. student at the Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco, specializing in materials physics. His research focuses on 2D MXenes and their applications in energy storage and hydrogen storage. He employs computational modeling, simulation, and characterization techniques using software such as VESTA, Wien2k, Quantum Espresso, and Yambo. He has contributed to multiple publications and conferences, emphasizing density functional theory (DFT) and first-principles investigations in material sciences.

Publication Profile

Orcid

Educational Background 🎓

2022 – Present: Ph.D. in Materials Physics, Sultan Moulay Slimane University, Morocco
2020 – 2022: Master in Modern Physics, Sultan Moulay Slimane University, Morocco
2019 – 2020: Licence in Theoretical Physics, Sultan Moulay Slimane University, Morocco
2017 – 2019: DEUG in Physics, Sultan Moulay Slimane University, Morocco
2016 – 2017: Baccalaureate in Experimental Physics, Demnate High School, Morocco

Professional Experience 💼

Teaching Experience (Sultan Moulay Slimane University, Morocco)
- 2024 – 2025: Practical and tutorial sessions in Nanomaterials and Application, Mechanics, Circuit Electric, and Nuclear Physics
- 2023 – 2024: Practical work in Material Physics, Optical Physics, and Electromagnetism in Vacuum
Other Experiences:
- 2023: Participated in a workshop on renewable energy integration using AI at the National School of Applied Sciences, Beni Mellal
- 2023: Served on the Organizing Committee for the 1st Edition of Doctoral Day, focusing on interdisciplinary research and skill development
- 2020 – 2022: Provided support and reinforcement courses in physics and mathematics at School Kifaya, Beni Mellal

Research Interests 🔬

2D MXenes materials for energy storage and hydrogen storage
First-principles calculations using Density Functional Theory (DFT)
Photovoltaics and optoelectronic applications
Computational materials science using Quantum Espresso, Wien2k, and Yambo
Perovskite and rare-earth-based scintillation materials

Awards and Honors🏆✨

Multiple oral presentations at international conferences, including:
- E-WAV 2024 (Energy, Water, Advancements and Visions Conference, Marrakech, Morocco)
- EMCMRE-7 (Euro-Mediterranean Conference on Materials and Renewable Energies, Morocco)
- EAMix 2024 (Energy in Africa Conference, UM6P Campus, Morocco)
Published multiple peer-reviewed research articles on MXenes, perovskites, and rare-earth-based scintillation materials
Active participant in national and international scientific workshops

Conclusion🌟

DARKAOUI EL Mokhtar is an emerging researcher in materials physics, with a strong focus on computational modeling and first-principles investigations of 2D MXenes. His work contributes significantly to the advancement of energy storage technologies and clean energy solutions. Through active participation in international conferences, scientific collaborations, and teaching, he continues to build expertise in quantum materials and optoelectronic applications. His commitment to DFT-based computational studies highlights his role in bridging theoretical research with practical energy applications.

Publications 📚

🟢 Comprehensive investigation of Rb₂LuCl₅ and Rb₂PrCl₅ rare earth-based scintillation materials using density functional theory
📖 Materials Research Bulletin (2025)
🔗 DOI: 10.1016/j.materresbull.2024.113071
✍️ Contributors: Zaghrane, A.; Ouhenou, H.; Darkaoui, E.; Abbassi, A.; Taj, S.; Manaut, B.; Razouk, A.
🔵 Investigation of Ba₂SmOsO₆ and Ba₂InOsO₆ double perovskite oxide for spintronic and linear optoelectronic applications using DFT and DFT+U methods
📖 Journal of Magnetism and Magnetic Materials (June 2025)
🔗 DOI: 10.1016/j.jmmm.2025.172980
✍️ Contributors: Darkaoui, E.; Mouslih, S.; Islah, J.; Archi, M.; Abbassi, A.; Taj, S.; Manaut, B.; Ez-Zahraouy, H.
🟡 Computational study of stability, photovoltaic, and thermoelectric properties of new inorganic lead-free halide perovskites
📖 EPL (2024)
🔗 DOI: 10.1209/0295-5075/ad2cb7
✍️ Contributors: Agouri, M.; Ouhenou, H.; Waqdim, A.; Zaghrane, A.; Darkaoui, E.; Abbassi, A.; Manaut, B.; Taj, S.; Driouich, M.
🟠 First-principles examination of structural, electronic, magnetic, and optical properties of a free lead scintillating double perovskites A₂NaTaX₆ (A=Cs, Rb; X=Cl, Br, I)
📖 Optical and Quantum Electronics (2024)
🔗 DOI: 10.1007/s11082-024-06804-x
✍️ Contributors: Ouhenou, H.; Zaghrane, A.; Darkaoui, E.; Agouri, M.; Waqdim, A.; Abbassi, A.; Taj, S.; Manaut, B.; Idrissi, M.E.; Driouich, M.
🟣 First-principles investigation of MXenes M₄C₃ (M=Sc, Cr, and Mn) for clean energy
📖 Chinese Journal of Physics (2024)
🔗 DOI: 10.1016/j.cjph.2024.03.041
✍️ Contributors: Darkaoui, E.; Zaghrane, A.; Ouhenou, H.; Abbassi, A.; Agouri, M.; Waqdim, A.; Makayssi, T.; Taj, S.; Manaut, B.; Driouich, M.
🟤 First-principles investigation of structural, electronic, optical, and magnetic properties of a scintillating double perovskite halides (Cs₂LiCeX₆) with (X = F, Br, and I)
📖 Chinese Journal of Physics (2024)
🔗 DOI: 10.1016/j.cjph.2023.08.001
✍️ Contributors: Zaghrane, A.; Ouhenou, H.; Darkaoui, E.; Agouri, M.; Abbassi, A.; Mekaoui, Y.; Taj, S.; Manaut, B.
⚫ Tau decay in a circularly polarized laser field
📖 Indian Journal of Physics (2024)
🔗 DOI: 10.1007/s12648-024-03143-1
✍️ Contributors: Chahri, R.; Mouslih, S.; Jakha, M.; Darkaoui, E.; Mekaoui, Y.; Manaut, B.; Taj, S.
⚪ First-Principles Examination of Structural, Electronic, Magnetic, and Optical Properties of a Free Lead Scintillating Double Perovskites A₂NaTaX₆ (A = Cs, Rb; X = Cl, Br, I)
📖 SSRN (2023)
🔗 DOI: 10.2139/ssrn.4639290
✍️ Contributors: Ouhenou, H.; Zaghrane, A.; Darkaoui, E.; Agouri, M.; Waqdim, A.; Abbassi, A.; Taj, S.; Manaut, B.; El Idrissi, M.; Driouich, M.