Month: March 2025

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

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

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

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

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

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.

Chao Zhang | Machine Learning | Best Researcher Award

Published on 22/03/202522/03/2025 by Innovation Technologist

Prof. Chao Zhang | Machine Learning | Best Researcher Award

Professor at Shanghai University, China

Professor Chao Zhang is a distinguished academic and researcher specializing in mechanical engineering, particularly in tribology and engine component wear. With an extensive career spanning multiple prestigious institutions, including Shanghai University and Northwestern University, he has significantly contributed to the field through research, publications, and technical committee roles. His expertise integrates classical tribology with modern computational techniques such as machine learning and quantum chemical molecular dynamics.

Publication Profile

Educational Background 🎓

Bachelor’s Degree: Mechanical Engineering, Shanghai Railway University (1983)
Master’s Degree: Mechanical Engineering, Shanghai Internal Combustion Engine Research Institute (1989)
Ph.D.: Mechanical Engineering, Shanghai University (1997)

Professional Experience 💼

Senior Research Associate (1997–2002): Northwestern University, USA (Worked with Profs. H.S. Cheng and Qian Wang)
Professor:
- Tongji University, China
- Shanghai University, China
- Kunming University of Science and Technology, China
Technical Committee Member: Engines and Powertrains, International Federation for the Promotion of Mechanism and Machine Science (IFToMM)

Research Interests 🔬

Tribology and lubrication in engine components
Scuffing behavior and wear modeling of piston components
Multi-phase and multi-scale engine wear modeling using quantum chemical molecular dynamics and machine learning
Digital twin modeling for tribocorrosion
Application of artificial intelligence and big data in engine tribology
Mechano-chemical kinetic models for boundary lubrication

Awards and Honors🏆✨

Technical committee member of IFToMM (Engines and Powertrains)
Contributor to Springer’s Mechanisms and Machine Science Series
Numerous high-impact journal publications in Tribology Transactions, ASME Journal of Tribology, Tribology International, and Wear

Conclusion🌟

Professor Chao Zhang is an accomplished mechanical engineering expert with a focus on tribology, engine wear, and computational modeling. His interdisciplinary research integrates classical tribology with advanced computational methods, positioning him as a leading figure in his field. His contributions to academia, industry collaborations, and publications underscore his commitment to advancing mechanical engineering and tribology.

Publications 📚

1️⃣ Zhang, C. (2025). Multi-phase and multi-scale engine wear modeling via quantum chemical molecular dynamics and machine learning: A theoretical framework. 🔬🛠️ Wear, xxx(xxx)xxx. [🔗 DOI: 10.1016/j.wear.2025.205771]

2️⃣ Zhang, C. (2023). Lubricant-Chemistry Kinetic Model of Antiwear Film Formation by Oil Additives using SOL, QM MD, and machine learning. 🔍📊 STLE 2023 Annual Meeting Digital Proceedings.

3️⃣ Zhang, C. (2022). Scuffing behavior of piston-pin bore bearing in mixed lubrication. ⚙️📖 In T. Parikyan (Ed.), Advances in Engine and Powertrain Research and Technology (pp. 65–95). Springer, Mechanisms and Machine Science 114.

4️⃣ Zhang, C. (2022). Quantum chemical study of mechanochemical reactive mechanisms of engine oil antiwear additives. 🧪⚛️ Proceedings of I4SDG Workshop 2021, MMS 108, pp. 1–9.

5️⃣ Zhang, C. (2021). Scuffing factor and scuffing failure mapping. 🚗🔥 Proceedings of the 2nd World Congress on Internal Combustion Engine, April 21-24, Jinan, China.

6️⃣ Zhang, C. (2018). Analysis of piston scuffing failure based on big data base and cloud computing. ☁️💾 Proceedings of the 2018 World Internal Combustion Engine Congress and Exhibition, November 8-11, Wuxi, China.

7️⃣ Zhang, C., et al. (2007). Effect of loading path on sliding contact status for elastic and plastic media. 🔩⚙️ Proceedings of the STLE/ASME International Joint Tribology Conference, IJTC2007-44481.

8️⃣ Ye, Z.K., Zhang, C., Wang, Y.C., Cheng, H.S, Tung, S. M., Wang, Q., He, J. (2004). An experimental investigation of piston skirt scuffing: a piston scuffing apparatus, experiments, and scuffing mechanism analyses. 🔍🔬 WEAR, 257, 8-31.

9️⃣ Zhang, C., Wang, Q., Cheng, H. S. (2004). Scuffing Behavior of Piston-Pin/Bore Bearing in Mixed Lubrication – Part II: Scuffing Mechanism and Failure Criteria. 🛠️⚡ STLE, Tribology Transactions, 47, 149-156.

🔟 Zhang, C., Cheng, H. S., Qiu, L., Knipstein, K. W., & Bolyard, J. (2003). Scuffing Behavior of Piston-Pin/Bore Bearing in Mixed Lubrication – Part I: Experimental Studies. 🧑‍🔬📊 STLE, Tribology Transactions, 46, 193-199.

Farman Ali | Optical Communication | Best Researcher Award

Published on 18/03/202518/03/2025 by Innovation Technologist

Assoc. Prof. Dr. Farman Ali | Optical Communication | Best Researcher Award

Associate Professor at Qurtuba University of Science and Information Technology, Pakistan

Dr. Farman Ali is a postdoctoral researcher at Nanjing University of Aeronautics and Astronautics, China. He specializes in UAV communication, optical fiber communication, nonlinear optics, free-space optics, and AI integration in wireless networks. He has extensive academic and research experience, with a strong publication record in top-tier journals and conferences. His work focuses on UAV-to-ground and UAV-to-ship communication, radio-over-fiber systems, and machine learning-based optimization in optical networks.

Publication Profile

Educational Background 🎓

Ph.D. in Electrical Engineering – Iqra National University (2019)
M.S. in Electrical Engineering – Sarhad University, Peshawar (2014)
B.E. in Electrical Engineering – Sarhad University, Peshawar (2011)
Diploma in Electrical Engineering (DAE) – Government College of Technology, Nowshera (2007)

Professional Experience 💼

Postdoctoral Researcher – Nanjing University of Aeronautics and Astronautics, China (Apr 2023 – Mar 2025)
Associate Professor & ORIC In-Charge – Qurtuba University of Science and IT, Pakistan (Dec 2019 – Mar 2023)
Convener, Occupational Safety and Health (OSH) Committee – Qurtuba University of Science and IT, Pakistan (Since 2020)
HEC Approved Supervisor

Research Interests 🔬

UAV Channel Modeling (UAV-to-ground, UAV-to-ship communication)
Optical Fiber and Free Space Optics
AI Integration in Wireless Communication
Nonlinear Optics and Machine Learning in Optical Networks
Radio-over-Fiber Systems
5G+ Networks and Heterogeneous Communication

Awards and Honors🏆✨

Multiple research projects funded by China National Key R&D Program, the Natural Science Foundation of China, Najran University (Saudi Arabia), European Union’s Horizon 2020, Taif University (Saudi Arabia), Silesian University of Technology (Poland), and Korea Ministry of SMEs and Startups.
Active involvement in cutting-edge research with over 594 citations, h-index of 14, and i10-index of 24.

Conclusion🌟

Dr. Farman Ali is a distinguished researcher in UAV communication, optical networks, and AI-driven wireless systems. With a strong academic background, multiple funded research projects, and significant contributions to scientific literature, he continues to shape the future of intelligent wireless communication and optical networking.

Publications 📚

1️⃣ 📡 Path Loss and Shadowing for UAV-to-Ground UWB Channels Incorporating the Effects of Built-Up Areas and Airframe
🏛 IEEE Transactions on Intelligent Transportation Systems (2024)
🔗 DOI: 10.1109/TITS.2024.3418952
✍️ Haoran Ni, Qiuming Zhu, Boyu Hua, Kai Mao, Yinglan Pan, Farman Ali, Weizhi Zhong, Xiaomin Chen

2️⃣ 📶 Height‐Dependent LoS Probability Model for A2G Channels Incorporating Airframe Shadowing Under Built‐Up Scenario
🏛 Electronics Letters (2024-09)
🔗 DOI: 10.1049/ell2.70032
✍️ Farman Ali, Yinglan Pan, Qiuming Zhu, Naeem Ahmad, Kai Mao, Habib Ullah

3️⃣ 🤖 Generative Network-Based Channel Modeling and Generation for Air-to-Ground Communication Scenarios
🏛 IEEE Communications Letters (2024-04)
🔗 DOI: 10.1109/LCOMM.2024.3363621
✍️ Yue Tian, Hanpeng Li, Qiuming Zhu, Kai Mao, Farman Ali, Xiaomin Chen, Weizhi Zhong

4️⃣ 🎯 Low-Complexity 2D-DOD and 2D-DOA Estimation in Bistatic MIMO Radar Systems: A Reduced-Dimension MUSIC Algorithm Approach
🏛 Sensors (2024-04-27)
🔗 DOI: 10.3390/s24092801
✍️ Mushtaq Ahmad, Xiaofei Zhang, Xin Lai, Farman Ali, Xinlei Shi

5️⃣ 📡 Height-Dependent LoS Probability Model for A2G Channels Incorporating Airframe Shadowing Under Built-up Scenario
🏛 Preprint (2024-03-12)
🔗 DOI: 10.22541/au.171024427.76113032/v1
✍️ Farman Ali, Yinglan Pan, Qiuming Zhu, Naeem Ahmed, Kai Mao, Habib Ullah

6️⃣ 💡 Probing of Nonlinear Impairments in Long Range Optical Transmission Systems
🏛 Journal of Optical Communications (2024-02-13)
🔗 DOI: 10.1515/joc-2020-0018
✍️ Farman Ali, Muhammad Shakeel, Asar Ali, Wajid Shah, Muhammad Salman Qamar, Shabbir Ahmad, Usman Ali, Muhammad Waqas

7️⃣ 🔗 Integrated Free-Space Optics and Fiber Optic Network Performance Enhancement for Sustaining 5G High Capacity Communications
🏛 International Journal of Optics (2023-01-13)
🔗 DOI: 10.1155/2023/8685686
✍️ Meshari Alsharari, Khaled Aliqab, Farman Ali, Ammar Armghan, Rujiang Li

8️⃣ 📡 Architecture Optimization for Filtered Multicarrier Waveforms in 5G
🏛 Wireless Personal Communications (2022-06)
🔗 DOI: 10.1007/s11277-022-09537-w
✍️ Muhammad Abid, Farman Ali, Ammar Armghan, Fayadh Alenezi, Sharoz Khan, Fazal Muhammad, Maqsood Ahmad Khan, Muhammad Salman Qamar

9️⃣ 🌊 High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics
🏛 Shock and Vibration (2022-06-30)
🔗 DOI: 10.1155/2022/5876874
✍️ Nauman Ahmed, Huigang Wang, Shanshan Tu, Norah A.M. Alsaif, Muhammad Asif Zahoor Raja, Muhammad Kashif, Ammar Armghan, Yasser S. Abdalla, Wasiq Ali, Farman Ali et al.

🔟 🔄 Alleviation of Nonlinear Channel Effects in Long‐Haul and High‐Capacity Optical Transmission Networks
🏛 International Journal of Communication Systems (2022-03-10)
🔗 DOI: 10.1002/dac.5050
✍️ Farman Ali, Usman Habib, Fazal Muhammad, Yousaf Khan, Ammar Armghan, Fayadh Alenezi, Ziaul Haq Abbas, Asar Ali, Muhammad Salman Qamar

Julio Cesar Cenci de Aguiar | Parasitologia | Best Researcher Award

Published on 17/03/202517/03/2025 by Innovation Technologist

Dr. Julio Cesar Cenci de Aguiar | Parasitologia | Best Researcher Award

Doctor at São Paulo State University, Brazil

Dr. Julio Cesar Cenci de Aguiar is a postdoctoral researcher at UNESP, specializing in parasitology, taxonomy, phylogeny, and biogeography. He holds an MSc from UFRRJ and a PhD from UNICAMP. His research focuses on the biodiversity, classification, and evolutionary relationships of fish parasites, particularly monogeneans. He has published extensively in high-impact journals and collaborates internationally with leading researchers. Dr. Aguiar has also advised Brazil’s Ministry of the Environment on endangered fish species conservation. His contributions advance the understanding of host-parasite interactions and their ecological significance, making him a prominent figure in aquatic parasitology.

Publication Profile

Educational Background 🎓

MSc: Federal Rural University of Rio de Janeiro (UFRRJ)
PhD: University of Campinas (UNICAMP)

Professional Experience 💼

Current Position: Postdoctoral Researcher at Universidade Estadual Paulista (UNESP)
Teaching Experience: Has taught at various educational levels and coordinated the development of educational materials.
Advisory Role: Provided consultation for Brazil’s Ministry of the Environment on monitoring endangered fish species and assessing risk factors in ex situ conservation programs.

Research Interests 🔬

Parasitology: Focuses on taxonomy, phylogeny, and biogeography of parasites, especially monogenean parasites of fish.
Biodiversity and Systematics: Studies the origin, diversification, and classification of parasite species.
Host-Parasite Interactions: Examines the ecological and evolutionary relationships between parasites and their hosts.

Research Contributions and Achievements

Published Research Articles: Published in high-impact journals such as Parasitology International, Zoosystematics and Evolution, and Pathogens.
Ongoing Research Projects: Studying the biodiversity of monogenean parasites in the Pardo River, São Paulo.
International Collaborations: Works with Prof. James Albert (University of Louisiana) and Prof. Gerardo Pérez-Ponce de León (UNAM) on parasite evolution and biogeography.
Editorial Appointments: Involved in peer review and academic journal contributions.

Awards and Honors🏆✨

Award Category Preference: Young Researcher
Recognized for contributions to parasite biodiversity and host-parasite evolutionary studies.

Conclusion🌟

Dr. Julio Cesar Cenci de Aguiar is an accomplished researcher in parasitology, with expertise in taxonomy, phylogenetics, and biogeography. His work significantly contributes to understanding parasite diversity, species classification, and conservation biology. His international collaborations and advisory role with the Brazilian Ministry of the Environment highlight his impact in the field.

Publications 📚

📖 Emmerich, E.; Aguiar, J. C. C; Silva, R. J. (2025). Origin and diversification of Dicrocoeliidae (Neodermata, Trematoda) with the description of a new species of Euparadistomum, a parasite of Tropidurus torquatus (Squamata, Tropiduridae) in South America. Parasitology International (In Press).

📖 Mathews, P. D.; Mertins, O.; Espinoza, L.; Aguiar, J. C. C.; Milanin, T. (2023). First report of a histozoic Henneguya (Cnidaria, Endocnidozoa) infecting a synbranchid potamodromous fish from South America: Morphostructural and biological data. Zoosystematics and Evolution.

📖 Mathews, P. D.; Mertins, O.; Flores-Gonzales, A. P. P.; Aguiar, J. C.; Milanin, T. (2022). Host–Parasite Interaction and Phylogenetic of a New Cnidarian Myxosporean (Endocnidozoa: Myxobolidae) Infecting a Valuative Commercialized Ornamental Fish from Pantanal Wetland Biome, Brazil. Pathogens, 11(10), 1119.

📖 Aguiar, J. C. C.; Domingues, M. V.; Silva, W.; Adriano, E. A.; Soares, G. B. (2022). Morphology and molecular phylogeny of Pauciconfibuloides amazonica gen. n. sp. n. (Platyhelminthes, Monogenoidea) parasitizing the Amazonian croaker Plagioscion squamosissimus. Parasitology International, 87, 102489.

📖 Aguiar, J. C.; Maia, A. A. M.; Silva, M. R. M.; Domingues, M. V.; Adriano, E. A. (2017). An integrative taxonomic study of Pavanelliella spp. (Monogenoidea, Dactylogyridae) with the description of a new species from the nasal cavities of an Amazon pimelodid catfish. Parasitology International, 66(6), 777–788.

Teresa del Castillo-Santaella | Lipid Digestion | Best Researcher Award

Published on 14/03/202514/03/2025 by Innovation Technologist

Prof. Teresa del Castillo-Santaella | Lipid Digestion | Best Researcher Award

Assistant Professor at University of Granada, Spain

Mª Teresa del Castillo Santaella is a Professor Titular at the University of Granada (UGR), Spain, specializing in colloidal systems and drug delivery. She has extensive experience in interdisciplinary research, including nanomedicine, biomaterials, and food colloids. With a strong academic background, she has contributed significantly to both fundamental and applied research in her field.

Publication Profile