Mr. Saurabh Pahune | Generative AI | Best Researcher Award

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Mr. Saurabh Pahune | Generative AI | Best Researcher Award

Techncial Architect, Cardinal health, Ohio, United States

Saurabh Pahune (SMIEEE) is a highly skilled business automation analyst and AI/ML researcher with over 11 years of diverse industry and academic experience. He currently serves as a peer reviewer and editorial board member for reputed journals and is frequently invited as a guest speaker on AI/ML-driven supply chain automation. Known for his innovative work in large language models, generative AI, and intelligent systems, he has published several impactful papers and is a Senior Member of the IEEE. His work seamlessly blends technology with business, improving operational efficiency and driving enterprise transformation across healthcare and logistics domains.

Publication Profile

Google Scholar

ORCID

Scopus

🎓 Education Background

Saurabh holds a Master of Science in Electrical and Computer Engineering from the University of Memphis, USA (2016–2019). He earned his M.Tech in VLSI from RTMNU, Nagpur (2013–2015), and a Bachelor of Engineering in Electronics and Telecommunication from SGBAU, Amravati (2009–2013). His strong academic foundation underpins his technical expertise in AI, ML, and supply chain technologies.

💼 Professional Experience

Saurabh is currently leading AI and automation initiatives as an independent researcher and analyst at Tata Consultancy Services and previously at Vivid Technologies. His experience spans roles at Evolent Health, iSkylar Technologies, and the University of Memphis, where he conducted advanced research in intelligent systems. He specializes in LLMOps, GenAI, RPA, NLP, knowledge graphs, and automation frameworks, contributing significantly to process optimization in healthcare and logistics.

🏆 Awards and Honors

As a recognized Senior Member of IEEE, Saurabh has actively contributed as a reviewer for IEEE Transactions and Taylor & Francis journals. He has also earned multiple professional certifications, including IBM Chatbot Builder, Agile Planning, and Advanced RPA Professional by Automation Anywhere, and was awarded the Accredited Project Manager Certification (APRM) by the International Organization for Project Management.

🔬 Research Focus

Saurabh’s research centers around Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing, and their integration with business systems like supply chain and healthcare automation. His work explores scalable LLMOps, predictive analytics, knowledge graphs, and ontology-driven architectures. With over 100 citations, his contributions continue to shape cutting-edge applications in AI-enhanced business intelligence.

🔚 Conclusion

Saurabh Pahune exemplifies the synergy between research excellence and industry innovation. With strong technical acumen and strategic insight, he contributes to the academic community while driving AI-powered transformation across sectors. His commitment to continuous learning and cross-functional collaboration makes him a standout candidate for advanced research awards and leadership in AI and automation.

📚 Top Publications –Mr. Saurabh Pahune

  1. Several categories of large language models (LLMs): A short survey
    Year: 2023
    Journal: arXiv preprint arXiv:2307.10188
    Cited by: 36
    Co-author(s): M. Chandrasekharan

  2. Accelerating neural network training: A brief review
    Year: 2024
    Journal: Proceedings of the 2024 8th International Conference on Intelligent Systems
    Cited by: 22
    Co-author(s): S. Nokhwal, P. Chilakalapudi, P. Donekal, S. Nokhwal

  3. EMBAU: A novel technique to embed audio data using shuffled frog leaping algorithm
    Year: 2023
    Journal: Proceedings of the 2023 7th International Conference on Intelligent Systems
    Cited by: 21
    Co-author(s): S. Nokhwal, A. Chaudhary

  4. Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms
    Year: 2024
    Journal: Proceedings of the 2024 8th International Conference on Intelligent Systems
    Cited by: 18
    Co-author(s): S. Nokhwal, A. Chaudhary

  5. Large Language Models and Generative AI’s Expanding Role in Healthcare
    Year: 2024
    Journal: ResearchGate
    Cited by: 12
    Co-author(s): N. Rewatkar

  6. A Brief Overview of How AI Enables Healthcare Sector Rural Development
    Year: 2024
    Journal: ResearchGate
    Cited by: 8
    Co-author(s): S.A. Pahune

  7. The Importance of AI Data Governance in Large Language Models
    Year: 2025
    Journal: Big Data and Cognitive Computing 9(6), 147
    Cited by: 5
    Co-author(s): Z. Akhtar, V. Mandapati, K. Siddique

  8. Investigating the application of quantum-enhanced generative adversarial networks in optimizing supply chain processes
    Year: 2024
    Journal: International Research Journal of Engineering and Technology (IRJET)
    Cited by: 4
    Co-author(s): N. Rewatkar

  9. Cognitive automation in the supply chain: Unleashing the power of RPA vs. GenAI
    Year: 2024
    Journal: ResearchGate
    Cited by: 4
    Co-author(s): N. Rewatkar

  10. Healthcare: A Growing Role for Large Language Models and Generative AI
    Year: 2023
    Journal: International Journal for Research in Applied Science and Engineering
    Cited by: 4
    Co-author(s): N. Rewatkar

 

Dr. Zheng Liu | Materials Science | Best Researcher Award

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Dr. Zheng Liu | Materials Science | Best Researcher Award

Engineer, TaiHang Laboratory, China

Dr. Zheng Liu is a dedicated Chinese materials engineer currently serving at the Taihang National Laboratory in Chengdu, Sichuan, China. Specializing in polymer chemistry and advanced composite materials, he has made significant contributions to the development of structural and wave-transparent composites. With a strong academic foundation and multiple research publications in high-impact journals, Dr. Liu is known for his work on interface modification and high-performance fiber-reinforced composites. His research is widely recognized in both academic and industrial settings.

Publication Profile

🎓 Education Background

Dr. Zheng Liu earned his Bachelor’s Degree in 2018 from Nanchang Hangkong University. He went on to receive his Master’s Degree from Northwestern Polytechnical University in 2021, where he continued and completed his Ph.D. in 2024. His academic journey has equipped him with in-depth knowledge in polymer science, composite mechanics, and material interface engineering.

💼 Professional Experience

Since March 2024, Dr. Liu has been working as an Engineer at the Lightweight Structure and Materials Manufacturing Research Center, part of the Taihang National Laboratory & Northwestern Polytechnical University. His professional focus includes the engineering of high-performance polymer and ceramic matrix composites, particularly those used in wave-transparent applications and thermal management.

🏅 Awards and Honors

While specific awards are not listed, Dr. Zheng Liu’s academic excellence is reflected through his multiple peer-reviewed publications in top-tier journals like Composites Science and Technology, Polymer Composites, and Journal of Materials Science & Technology. His work has gained citations and is co-authored with prominent researchers, demonstrating peer recognition and scholarly impact.

🔬 Research Focus

Dr. Liu’s research interests span across Polymer Chemistry and Physics; Structural/functional integrated composites; Wave-transparent and Wave-absorbing composites; Ceramic matrix composites; Thermal Conductive Composites; and Modification of Composites Interfaces. He focuses on the synthesis and design of high-performance materials with applications in aerospace, electronics, and advanced engineering.

✅ Conclusion

With a solid academic background, active research contributions, and a position at one of China’s leading research institutions, Dr. Zheng Liu is emerging as a promising figure in the field of polymer and composite materials. His ongoing work continues to drive innovations in material science, with particular emphasis on interface engineering and multifunctional composite development.

📚 Top Publications Notes – Dr. Zheng Liu 

  1. A mini‐review of ultra‐low dielectric constant intrinsic epoxy resins: Mechanism, preparation and application
    📅 2024 – Polymers for Advanced Technologies
    📑 Cited by: To be updated (new article)

  2. Interfacial strengthening and processing of carbon fibers reinforced poly(ether-ether-ketone) composites: A mini-review
    📅 2024 – Polymer Composites
    📑 Cited by: To be updated (new article)

  3. Block copolymer functionalized quartz fibers/cyanate ester wave-transparent laminated composites
    📅 2023 – Journal of Materials Science & Technology
    📑 Cited by: 20+ articles (estimated)

  4. Branched Fluorine/Adamantane Interfacial Compatibilizer for PBO Fibers/Cyanate Ester Wave-Transparent Laminated Composites
    📅 2023 – Chinese Journal of Chemistry
    📑 Cited by: 10+ articles (estimated)

  5. Low dielectric constant and highly intrinsic thermal conductivity fluorine-containing epoxy resins with ordered liquid crystal structures
    📅 2023 – SusMat
    📑 Cited by: 12+ articles (estimated)

  6. PBO fibers/fluorine-containing liquid crystal compound modified cyanate ester wave-transparent laminated composites with excellent mechanical and flame retardance properties
    📅 2023 – Journal of Materials Science & Technology
    📑 Cited by: 15+ articles (estimated)

  7. Hybrid Polymer Membrane Functionalized PBO Fibers/Cyanate Esters Wave-Transparent Laminated Composites
    📅 2022 – Advanced Fiber Materials
    📑 Cited by: 20+ articles (estimated)

  8. Significantly improved interfacial properties and wave-transparent performance of PBO fibers/cyanate esters laminated composites via introducing a polydopamine/ZIF-8 hybrid membrane
    📅 2022 – Composites Science and Technology
    📑 Cited by: 25+ articles (estimated)

  9. Improving the comprehensive properties of PBO fibres/cyanate ester composites using a hyperbranched fluorine and epoxy containing PBO precursor
    📅 2021 – Composites Part A: Applied Science and Manufacturing
    📑 Cited by: 30+ articles (estimated)

  10. Optimization of PBO fibers/cyanate ester wave-transparent laminated composites via incorporation of a fluoride-containing linear interfacial compatibilizer
    📅 2021 – Composites Science and Technology
    📑 Cited by: 35+ articles (estimated)

 

Dr. Shonisani Ramashia | Technology | Best Academic Researcher Award

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Dr. Shonisani Ramashia | Technology | Best Academic Researcher Award

Sen Lecturer/ HoD, University of Venda, South Africa

Dr. Shonisani Eugenia Ramashia is a South African food scientist and academic with extensive expertise in food science and technology. She currently serves as Head of the Department at the University of Venda and has held teaching and leadership roles locally and internationally, including a stint as Assistant Professor in India. Dr. Ramashia’s work emphasizes improving food nutritional quality and safety, with a commitment to advancing agricultural sciences and empowering communities through research and education. She is fluent in Tshivenda and holds multiple leadership and management qualifications in higher education.

Publication Profile

Scopus

Education 🎓📜

Dr. Ramashia earned her Ph.D. in Agriculture (Food Science & Technology) from the University of Venda in 2018, following a Master of Technology in Food Technology (Cum Laude) from Tshwane University of Technology in 2013. She holds a Bachelor of Science in Food Science & Technology from the University of Venda (2004). Complementing her technical expertise, she pursued postgraduate diplomas and certificates in Higher Education, Entrepreneurship, and Leadership from institutions including the University of KwaZulu-Natal and Nelson Mandela Metropolitan University. Currently, she is advancing her studies in Education Leadership Management at Botho University.

Experience 💼🔬

Dr. Ramashia has over 15 years of professional experience ranging from Senior Lab Technician to Assistant Professor and Department Head. She began her career as a Food Technologist at Foodcorp before moving into academia at the University of Venda, rising from Lecturer to Senior Lecturer and Head of Department. In 2022, she gained international experience as Assistant Professor at Shoolini University, India. She is currently co-facilitator of a postgraduate certificate in Entrepreneurship Management and Leadership, reflecting her blend of scientific expertise and academic leadership within higher education.

Awards and Honors 🏅🎖️

Dr. Ramashia’s distinguished career is marked by multiple academic and professional accolades, including graduating Cum Laude with her Master’s degree. She completed prestigious leadership programs such as the Women in Leadership Programme (WiL) at Nelson Mandela Metropolitan University and advanced management development courses at the University of Cape Town. Her ongoing commitment to professional growth is demonstrated by continuous postgraduate education and recognition as a leader in food science and academic administration. These honors reflect her dedication to excellence in research, teaching, and community engagement.

Research Focus 🔬🌱

Dr. Ramashia’s research centers on the nutritional, functional, and microbiological quality of food products, especially cereals, legumes, and underutilized crops like millet, Bambara groundnut, and sorghum. She explores food fortification, antioxidant activities, bioactive compounds, and consumer acceptability of novel and traditional foods. Her work also addresses food safety, microbial quality, and sustainable food processing innovations aimed at improving nutrition and health in Sub-Saharan Africa. This research supports food security and promotes the development of high-protein, gluten-free, and nutrient-enriched food products.

Conclusion ✅📘

Dr. Shonisani Eugenia Ramashia is a dedicated food scientist and educator whose impactful research and leadership contribute significantly to food technology and nutrition science in Africa. Her academic journey and professional roles reflect her passion for advancing food quality and safety, fostering innovation, and empowering communities through education. As a dynamic scholar and mentor, she continues to influence the nex generation of food scientists while addressing pressing nutritional challenges in developing regions, making her a key contributor to agricultural and food sciences.

📚 Top Publications by Dr. Shonisani Ramashia

  1. Chemical properties, antioxidant activities and metabolic profile of mixed blackjack and jute vegetables
    Bamidele, O.P.; Moyo, B.N.; Madala, N.E.; Ramashia, S.E. (2025). Food Chemistry, 488, 144885.
    Cited by 5+

  2. Effect of bioprocessing on the nutritional composition, antinutrients, functional properties and metabolites of Bambara groundnut and its prospective food applications: A review
    Mashau, M.E.; Ramatsetse, K.E.; Takalani, K.; Bamidele, O.P.; Ramashia, S.E. (2025). Molecules, 30, 2356.
    Cited by 3+

  3. Nutritional composition, antioxidant, and sensory characteristics of gluten-free biscuits produced from malted finger millet (Eleusine coracana) flours
    Murungweni, K.T., Ramashia, S.E., Mashau, M.E. (2025). Discovery Foods, 5(1), 120.
    Cited by 2+

  4. Nutritional Value and Consumer Acceptance of Non-Alcoholic Cereal-Based Beverages in Sub-Saharan Africa: A Review of Fortification, Supplementation, and Processing Innovations
    Ratau, M.A., Bamidele, O.P., Jideani, V.A., & Ramashia, S.E. (2025). Current Research in Nutrition and Food Science Journal, 13(1), 01-23.
    Cited by 4+

  5. Millets in sub-Saharan Africa: a review of the nutritional and bioactive composition, methods of processing and its developed products
    Ramashia, S. E., Onipe, O. O., Mashau, M. E., & Jideani, A. I. (2025). Discover Food, 5(1), 56.
    Cited by 6+

 

 

Prof. xinhua mao | Radar Imaging | Pioneer Researcher Award

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Prof. xinhua mao | Radar Imaging | Pioneer Researcher Award

Professor, Nanjing University of Aeronautics and Astronautics, China

Professor Xinhua Mao is a leading expert in signal processing, currently serving as a Professor at Nanjing University of Aeronautics and Astronautics (NUAA), China. With over two decades of academic and research excellence, he has made substantial contributions in the areas of synthetic aperture radar (SAR) imaging and adaptive signal processing. Recognized for his innovation and technical depth, Prof. Mao continues to advance research in cutting-edge radar signal algorithms and imaging systems.

Publication Profile

Scopus

🎓 Education Background

Prof. Mao completed both his undergraduate (1999–2003) and doctoral (2004–2009) studies at Nanjing University of Aeronautics and Astronautics, earning his Ph.D. in Signal Processing. His deep-rooted academic training laid the foundation for a remarkable career in radar systems and array signal processing.

👨‍🏫 Professional Experience

Prof. Mao began his academic career at NUAA as a Lecturer and Postdoctoral researcher (2009–2011), later becoming an Associate Professor (2011–2020), and was promoted to Professor in 2020. In 2013, he was a Visiting Scholar at Villanova University in the United States, further enriching his international academic exposure.

🏆 Awards and Honors

Professor Mao has been honored with numerous prestigious awards, including the National Science and Technology Progress Award (2nd Class) in 2019 and the National Defense Science and Technology Invention Award (2nd Class) in 2015. He also won the Best Paper Award at AP-SAR 2015 and was a Best Paper Finalist at ISAP 2017. Additionally, he was recognized as an Excellent Young Teacher of Jiangsu Province and received the Science Fund for Excellent Young Scholars.

🔬 Research Focus

His research primarily focuses on synthetic aperture imaging (SAR), space-time adaptive processing, and array signal processing. Specific interests include SAR image formation algorithms, motion compensation, and 2D autofocus techniques. His work has contributed to significant advancements in radar imaging under complex motion conditions.

🧩 Conclusion

Through his innovative contributions, extensive research funding, and high-impact publications, Professor Xinhua Mao stands as a key figure in signal processing and radar imaging. His academic and scientific endeavors continue to push boundaries, establishing him as a thought leader in the global radar research community.

📚 Top Publications by Prof. Xinhua Mao

Modified Time-domain Backprojection Algorithm for SAR Frequency-domain Autofocus
IEEE Transactions on Geoscience and Remote Sensing, 2025
➤ Cited by: 3 articles

Wavenumber Domain 2-D Separable Data Reformatting Algorithm for High Squint Spotlight SAR
IEEE Transactions on Computational Imaging, Vol.11, 2025
➤ Cited by: 2 articles

Two-Stage Correction for Wavefront Curvature Effects of PFA in Focusing Nonideal Circular SAR Data
IEEE Transactions on Aerospace and Electronic Systems, Vol.61(1), 2025
➤ Cited by: 4 articles

Spherical Geometry Algorithm for Spaceborne Synthetic Aperture Radar Imaging
IEEE Transactions on Geoscience and Remote Sensing, Vol.62, 2024
➤ Cited by: 6 articles

Sub-Aperture Polar Format Algorithm for Curved Trajectory Millimeter Wave Radar Imaging
IEEE Transactions on Radar Systems, Vol.2, 2024
➤ Cited by: 5 articles

Efficient BiSAR PFA Wavefront Curvature Compensation for Arbitrary Radar Flight Trajectories
IEEE Transactions on Geoscience and Remote Sensing, Vol.61, 2023
➤ Cited by: 12 articles

Parametric Model-Based 2-D Autofocus Approach for General BiSAR Filtered Backprojection Imagery
IEEE Transactions on Geoscience and Remote Sensing, Vol.60, 2022
➤ Cited by: 19 articles

Structure-aided 2-D Autofocus for Airborne Bistatic Synthetic Aperture Radar
IEEE Transactions on Geoscience and Remote Sensing, Vol.59(9), 2021
➤ Cited by: 22 articles

Knowledge-aided 2-D Autofocus for Spotlight SAR Filtered Backprojection Imagery
IEEE Transactions on Geoscience and Remote Sensing, Vol.57(11), 2019
➤ Cited by: 55 articles

Knowledge-aided 2-D Autofocus for Spotlight SAR Range Migration Algorithm Imagery
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 9, 201
➤ Cited by: 29 articles

 

Ms. ANKITA MANOHAR WALAWALKAR | Artificial Intelligence | Best Researcher Award

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Ms. ANKITA MANOHAR WALAWALKAR | Artificial Intelligence | Best Researcher Award

PhD, ASIA UNIVERSITY, TAIWAN

Ankita Manohar Walawalkar is an accomplished legal and academic professional from India, currently pursuing her Ph.D. in Business Administration at Asia University, Taiwan, with a strong focus on Artificial Intelligence, Corporate Governance, Human Resource Management, and Supply Chain. With a unique blend of legal expertise and international business experience, Ankita has spent over two decades navigating corporate procurement, translation, teaching, and research. Fluent in English, Hindi, and Chinese, she bridges cultural and linguistic gaps, making her a versatile contributor in academia and international business diplomacy. Her academic versatility, fieldwork experience, and multilingual proficiency make her a standout scholar and practitioner on global platforms.

Publication Profile

🎓 Education Background

Ankita is presently enrolled in a Ph.D. program in Business Administration at Asia University, Taiwan (2023–Present), focusing on interdisciplinary support areas such as AI, corporate governance, and HR. She holds a Master of Laws (LL.M.) in Corporate and Commercial Law from Amity University, Mumbai (2020–2021), where she deepened her expertise in IP, company law, and securities. Her foundational legal education was completed with a BLS-LLB from KES Jayantilal H. Patel Law College, University of Mumbai (2014–2020). Additionally, she completed a one-year Chinese Language Training at Zhengzhou University, China (2017–2018) under the prestigious Confucius Institute Scholarship.

💼 Professional Experience

Ankita’s dynamic professional career spans corporate sourcing and academia. From 2021 to 2023, she worked as a Sourcing Specialist at Algol Chemicals India Pvt. Ltd., New Delhi, specializing in Chinese supplier coordination, procurement, and logistics compliance. She has over five years of experience as a Freelance Interpreter and Translator, working with companies like VOXCO Pigments, Podar Enterprise, and Kohinoor Group, and participating in over 15 international exhibitions and conferences including the China-India Economic and Trade Conference. At Asia University, she serves as an EMI Teaching Assistant, TA for the Rural AI Bilingual Program, and works with the IC OIA office while volunteering at the INGO Research Centre. Her freelance work includes judicial interpretations, educational instruction for YCT/HSK levels, and market research projects for global clients.

🏆 Awards and Honors

Ankita was awarded the Confucius Institute Scholarship for a year-long language training program at Zhengzhou University, China (2017–2018), a testament to her dedication to language proficiency and cross-cultural studies. Her consistent participation in high-impact conferences and scholarly publications with global collaborators is a reflection of her ongoing academic recognition.

🔬 Research Focus

Ankita’s research interests are deeply rooted in AI Ethics, Corporate Governance, Human-AI Interaction, and Blockchain in HR, as reflected in her recent contributions to IGI Global book chapters and international conferences. She is actively involved in interdisciplinary explorations, combining law, ethics, and technology, with a notable focus on Human-AI collaboration in corporate decision-making, DEI challenges in hospital management, and the use of AI in education and language preservation.

📌 Conclusion

Ankita Manohar Walawalkar  stands at the unique intersection of law, language, and artificial intelligence, bringing over 20 years of diverse administrative, academic, and international experience to her work. Her contributions across education, corporate sourcing, and AI ethics research demonstrate her commitment to global impact and ethical innovation. As she continues her doctoral journey, her voice in the field of AI governance and multilingual education is becoming increasingly influential.

📝 Top Publication Notes

  1. Foundations of AI Ethics – 2024, IGI Global
    Cited by: 3 articles (as of 2024)
    Authors: Walawalkar, A. M., Moslehpour, M., Phattanaviroj, T., & Kumar, S.

  2. Utilization of Blockchain Technology to Manage Human Resources Data: Security Issues in Government Agencies – 2024, IGI Global
    Cited by: 2 articles
    Authors: Yati, P. P., & Walawalkar, A.

  3. Data Ethics and Privacy – 2024, IGI Global
    Cited by: 2 articles
    Authors: Phattanaviroj, T., Moslehpour, M., & Walawalkar, A. M.

  4. The Future of Ethical AI – 2024, IGI Global
    Cited by: 3 articles
    Authors: Firmansyah, G., Bansal, S., Walawalkar, A. M., Kumar, S., & Chattopadhyay, S.

  5. Investigating Human-AI Collaboration in Corporate Decision-Making for Sustainable Business Practices: An Extended UTAUT2 Model – 2025 (Upcoming), ICHESPAN Conference
    Status: Accepted, not yet cited
    Authors: Walawalkar, A. M., Moslehpour, M., Gupta, V., Rizaldy, H.

Assoc. Prof. Dr. Massoud Moslehpour | Metaverse | Best Researcher Award

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Assoc. Prof. Dr. Massoud Moslehpour | Metaverse | Best Researcher Award

Associate Professor, Asia University, Taiwan

Dr. Massoud Moslehpour  is a distinguished academician and researcher with an impressive record in business administration, industrial technology, and cross-cultural studies. With over two decades of teaching and administrative experience in Taiwan and the United States, he currently serves as an Associate Professor at Asia University and California State University, San Bernardino. Known for his leadership in AACSB accreditation and EMI (English as a Medium of Instruction) integration, Dr. Moslehpour has significantly contributed to the internationalization of academic institutions. He is also actively engaged in international research collaborations and has published widely in high-impact journals.

Publication Profile

🎓 Education Background

Dr. Moslehpour earned his Ph.D. in Industrial Technology from the University of Missouri-Columbia in 1995, supported by coursework in Higher and Adult Education, Curriculum Development, and Spanish. He holds an Ed.S. in Educational and Human Resources (1990), an M.S. in Industrial Technology (1988), and a B.S. in Electronics Technology (1987) from Central Missouri State University. His academic foundation bridges technical proficiency with educational leadership.

💼 Professional Experience

With 20+ years of global teaching expertise, Dr. Moslehpour has held faculty positions at Asia University and California State University San Bernardino. His career also includes appointments as Visiting Scholar and Professor in Vietnam, China, Mongolia, and Taiwan. He developed impactful courses like “Corporate Culture and Ethics” and pioneered innovations in asynchronous online learning. As CEO of EMI and AACSB projects at Asia University, he has led international initiatives, accreditation success, and strategic curriculum development. Additionally, he has held directorial roles in international affairs, language centers, and curriculum planning, reinforcing his cross-functional administrative strengths.

🏅 Awards and Honors

Dr. Moslehpour has received several recognitions for his academic leadership, international outreach, and research excellence. His direction led to successful AACSB accreditation after a decade of delay, enhancing his college’s global standing. He has secured millions in NT$ research funding on themes like AI, gender equity, and technology education, and has been instrumental in improving institutional student engagement through innovative course design and project management.

🔬 Research Focus

Dr. Moslehpour’s current research spans technology acceptance, social media marketing, green HRM, corporate ethics, and cross-cultural behavior. He integrates theories such as TAM and TPB to understand behavioral intentions and innovation acceptance. With over 4,300 citations, an h-index of 33, and i10-index of 71 (as of August 2024), he is a prolific author in SSCI, SCI, and ESCI journals, often focusing on interdisciplinary and international business studies.

✅ Conclusion

A multi-talented academic leader, Dr. Massoud Moslehpour continues to impact global education through teaching, administration, and research. His cross-cultural expertise, collaborative vision, and scholarly productivity position him as a vital figure in the evolving landscape of global business and technology education.

📚 Top 10 Publications with Citation Notes

  1. E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use
    Sustainability, 2018
    Cited by: 460 | Co-authors: VK Pham, WK Wong, İ Bilgiçli

  2. Impact of non-renewable energy and natural resources on economic recovery: Empirical evidence from selected developing economies
    Resources Policy, 2023
    Cited by: 415 | Co-authors: C Yu, TK Tran, LM Trung, JP Ou, NH Tien

  3. Exploring the impact of green energy and consumption on the sustainability of natural resources: Empirical evidence from G7 countries
    Renewable Energy, 2022
    Cited by: 346 | Co-authors: KY Chau, YT Tu, NT Tai, NH Tien, PQ Huy

  4. What makes GO-JEK go in Indonesia? The influences of social media marketing activities on purchase intention
    Journal of Theoretical and Applied Electronic Commerce Research, 2021
    Cited by: 225 | Co-authors: T Ismail, B Purba, WK Wong

  5. The dynamic stimulus of social media marketing on purchase intention of Indonesian airline products and services
    Asia Pacific Journal of Marketing and Logistics, 2021
    Cited by: 219 | Co-authors: A Dadvari, W Nugroho, BR Do

  6. Organizational climate and work style: The missing links for sustainability of leadership and satisfied employees
    Sustainability, 2018
    Cited by: 183 | Co-authors: P Altantsetseg, W Mou, WK Wong

  7. Predictors of green purchase intention toward eco-innovation and green products: Evidence from Taiwan
    Economic Research-Ekonomska Istraživanja, 2023
    Cited by: 181 | Co-authors: K Yin Chau, L Du, R Qiu, CY Lin, B Batbayar

  8. The impact of social media in business growth and performance: A scientometrics analysis
    International Journal of Data and Network Science, 2019
    Cited by: 165 | Co-authors: A Pourkhani, K Abdipour, B Baher

  9. Predictive analytics in business analytics: decision tree
    Advances in Decision Sciences, 2022
    Cited by: 159 | Co-authors: CS Lee, PYS Cheang

  10. Sharing economy benefits and sustainable development goals: Empirical evidence from the transportation industry of Vietnam
    Journal of Innovation & Knowledge, 2023
    Cited by: 118 | Co-authors: M Sadiq, R Qiu, VM Hieu, KD Duong, TQ Ng

 

Dr. Tian Xiaoxu | Geotechnical | Best Researcher Award

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Dr. Tian Xiaoxu | Geotechnical | Best Researcher Award

teacher, Xi’an University of Architecture and Technology, China

Dr. Tian Xiaoxu is a dedicated lecturer at the School of Civil Engineering, Xi’an University of Architecture and Technology. With a solid foundation in civil and geotechnical engineering, Dr. Tian has contributed extensively to the study of tunnel mechanics, underground space technology, and slope stability. His academic journey and professional dedication have led to significant involvement in national research projects, innovative patent developments, and award-winning technological advancements in tunnel construction and maintenance.

Publication Profile

🎓 Education Background

Dr. Tian holds a Ph.D. in Geotechnical Engineering (2018–2022) and a Master’s in Architecture and Civil Engineering (2015–2018), both from Xi’an University of Architecture and Technology. He completed his undergraduate studies in Civil Engineering at Nanhua University between 2011 and 2015. His continuous academic pursuit laid a strong technical foundation for his current research and teaching roles.

💼 Professional Experience

Since September 2022, Dr. Tian has been serving as a lecturer at the School of Civil Engineering, Xi’an University of Architecture and Technology. He simultaneously undertakes postdoctoral research at the same institution. His work primarily revolves around tunneling mechanics, slope reinforcement, and construction innovations. Dr. Tian has also actively participated in significant scientific research initiatives, including two nationally funded projects on tunnel deformation prediction and fracture mechanisms under extreme climatic conditions.

🏅 Awards and Honors

Dr. Tian has been recognized for his innovative contributions to civil engineering with several prestigious awards. He was a co-recipient of the Shaanxi Provincial Second Prize for Scientific and Technological Progress (2024) for developing intelligent construction technologies for pipe corridors. In 2023, he received a Science and Technology Progress Award from Xi’an University of Architecture and Technology for top-driving construction methods in complex environments. Additionally, he holds co-inventor status on two Chinese patents relating to geotechnical testing instruments.

🔬 Research Focus

Dr. Tian’s research is centered on geotechnical engineering, with a particular emphasis on the mechanical behavior of tunnel-slope systems, the deformation of sedimentary rock tunnels, and vibration control during tunnel blasting. He focuses on solving real-world engineering challenges through applied research, including climate-induced rock fractures and construction reinforcement technologies. His work combines theoretical models with field case studies and advanced monitoring methods.

✅ Conclusion

Dr. Tian Xiaoxu exemplifies excellence in civil and geotechnical engineering through his research, teaching, and practical innovations. His dedication to advancing tunneling technology and slope stabilization has positioned him as a significant contributor in his field, earning recognition at both institutional and provincial levels.

📚 Publication Top Notes

  1. Evolution characteristics of the surrounding rock pressure and construction techniques: A case study from Taoshuping tunnel
    Journal: Tunnelling and Underground Space Technology, 2022
    Cited by 18 articles

  2. Monitoring and reinforcement of landslide induced by tunnel excavation: A case study from Xiamaixi tunnel
    Journal: Tunnelling and Underground Space Technology, 2021
    Cited by 25 articles

  3. Study on the propagation law of tunnel blasting vibration in stratum and blasting vibration reduction technology
    Journal: Soil Dynamics and Earthquake Engineering, 2019
    Cited by 33 articles

  4. Deformation and mechanical characteristics of tunnel-slope systems with existing anti-slide piles under the replacement structure of pile-wall
    Journal: Tunnelling and Underground Space Technology, 2024
    Cited by 4 articles

  5. Theoretical analysis of mechanical behavior of advance support in tunnel cave pipe shed
    Journal: Journal of China Highway, 2020
    Cited by 15 articles

 

Dr. Aristea Mavrogianni | Cognitive Psychology | Best Researcher Award

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Dr. Aristea Mavrogianni | Cognitive Psychology | Best Researcher Award

Adjunct Lecturer & Postdoctoral Researcher, University of Crete, Greece

Dr. Aristea Mavrogianni is a dynamic postdoctoral researcher at the Department of Primary Education, University of Crete, where she investigates the interplay between Cognitive Load, Portable Devices, and Performance in collaboration with the Department of Computer Science. Her interdisciplinary academic journey reflects a unique blend of Educational Sciences, Cognitive Psychology, and Digital Innovation, firmly establishing her as a leading figure in the design and evaluation of interactive learning systems. A former archaeologist, she now channels her expertise into transformative educational technologies that empower students through metacognitive development and multimedia learning environments.

Publication Profile

Summary of Suitability for Best Research Award – Dr. Aristea Mavrogianni

Dr. Aristea Mavrogianni stands out as a strong candidate for the Best Research Award due to her innovative, interdisciplinary research combining cognitive science, educational technology, and instructional design. Her work on metacognitive strategies, multimedia learning systems, and psychometric evaluation aligns with high-impact, evidence-based educational practices. Notably, her Ph.D. dissertation was recognized with the University of Crete Award for the Best Doctoral Dissertation of 2023, highlighting her academic excellence and originality.

🎓 Education Background

Dr. Mavrogianni holds a Ph.D. in Educational Sciences from the University of Crete, where her award-winning dissertation focused on metacognitive strategies and interactive systems for expository texts. She also earned an MA in Prehistoric Archaeology from Aristotle University of Thessaloniki and a BA in History and Archaeology, creating a foundation that merges historical insights with modern instructional design.

💼 Professional Experience

Currently serving as an adjunct lecturer at the University of Crete’s Department of Philosophy, Dr. Mavrogianni teaches undergraduate courses on educational theory, pedagogical trends, and teaching methodologies. She has held long-standing roles in secondary education and has prior experience as an archaeologist, where she contributed to mapping and documentation of Cretan antiquities using GIS. Her versatile academic background supports her roles as both educator and innovator in learning technology.

🏆 Awards and Honors

Dr. Mavrogianni received the University of Crete Award for the Best Doctoral Dissertation of 2023. Her learning system Geo-Histor showcases her commitment to educational advancement through narrative agents and GIS tools. Her psychometric adaptations of MARSI and EDIS scales further reflect her contributions to educational measurement and validation in the Greek context.

🔬 Research Focus

Her research combines metacognition, instructional design, educational technology, and cognitive science. She develops interactive multimedia systems, validates psychometric tools, and explores how technological factors influence learning performance. Through works like Geo-Histor and validated tools such as MARSI-2fR, she leads initiatives at the intersection of digital innovation and cognitive development in educational settings.

🧾 Conclusion

Dr. Aristea Mavrogianni exemplifies interdisciplinary research with impactful contributions in educational sciences, psychology, and interactive learning. Her career trajectory—from archaeology to cognitive load research—reflects her adaptability, depth of knowledge, and commitment to advancing 21st-century education through scientific rigor and technological creativity.

📚 Top Publications Notes

  1. An alternative factorization of the metacognitive awareness of reading strategies inventory associated with the Greek national curriculum and its psychometric properties
    📅 Year: 2020
    📘 Journal: Creative Education, 11(08), 1299
    🔢 Cited by: 7 articles

  2. Adaptation to the Greek population of the Metacognitive Awareness of Reading Strategies Inventory (MARSI) version 1.0
    📅 Year: 2017
    📘 Conference: 5th Panhellenic Conference on Cognitive Science, Lefkes
    🔢 Cited by: 5 articles

  3. Interactive Multimedia Environment Intervention with Learning Anxiety and Metacognition as Achievement Predictors
    📅 Year: 2025
    📘 Journal: Psychology International, 7(1), 2
    🔢 Cited by: 1 article

  4. Scoring and psychometric evaluation of the revised MARSI-2fR Metacognitive Awareness of Reading Strategies scale
    📅 Year: 2024
    📘 Journal: Topics in Educational Sciences (Forthcoming)
    🔢 Cited by: 1 article

  5. Do Computer and Foreign Language Literacy Affect Native Language (L1) Reading Strategies
    📅 Year: 2021
    📘 Journal: Advances in Social Sciences Research Journal, 8(6), 543–559
    🔢 Cited by: 1

 

Dr. Lorenz Granrath | Production Technology | Best Researcher Award

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Dr. Lorenz Granrath | Production Technology | Best Researcher Award

Japan Representative , Fraunhofer ICNAP, Japan

Dr. Lorenz Granrath  is a German-born expert in EU-Japan science-industry collaboration, with over 25 years of dedicated work in advanced technology sectors including AI, digital transformation (DX), environmental technology, and renewable energy. Based in Tokyo, Japan, he has held prominent roles such as Professor, Senior Advisor, and Representative in numerous German-Japanese institutional partnerships. He has successfully initiated and led international research projects, founded labs, advised companies, and lectured at leading universities including Waseda University. He is married to Megumi Ishigami and has one daughter.

Publication Profile

Summary of Suitability for Best Research Award – Dr. Lorenz Granrath

Dr. Lorenz Granrath exemplifies an outstanding candidate for the Best Research Award due to his extensive and impactful career in international science-industry collaboration, particularly between the EU and Japan. With over 25 years of strategic involvement in AI, digital transformation (DX), renewable energy, and advanced industrial technologies, he has played a crucial role in bridging academia, government bodies, and industry stakeholders. His leadership in securing funding, initiating R&D centers, establishing major cross-national collaborations (such as between AIST and DFKI), and launching cutting-edge projects like e-VITA, underscores his long-standing commitment to advancing global research agendas.

🎓 Education Background

Dr. Granrath earned his Doctorate in Economics (Dr. oec.) from the University of St. Gallen, Switzerland (1990–1994), where his thesis explored the protection and exchange of technologies between Japanese and Western firms. He also studied as a Visiting Researcher at The University of Tokyo (1992–1993). He holds a diploma in Industrial Engineering (Wirtschaftsingenieurwesen) from the University of Karlsruhe (KIT), Germany, and completed his secondary education at Schloßschule Kirchberg/Jagst in 1981.

💼 Professional Experience

Dr. Granrath currently serves as the Representative at Fraunhofer-ICNAP since November 2024 and at the Institute for Experimental Psychophysiology (IXP) since June 2022, focusing on networked adaptive production and psychophysiological emotion detection. He is an advisor to multiple organizations, including ENV Science Trading and Kienbaum Japan, and has been a Visiting Lecturer at Waseda University since 2013. Notably, he served as Project Assistant Professor at Tohoku University (2021–2022) and held a key position as Supervisory Innovation Coordinator at AIST (2014–2021), where he led international AI and energy collaborations. Earlier roles include Fraunhofer Chief Representative Japan (2001–2013), Liaison Officer at GMD (1997–2001), and Project Manager at ABB STOTZ KONTAKT GmbH (1995–1997), underscoring his deep engagement in research and industrial application across continents.

🏅 Awards and Honors

Dr. Granrath’s contributions to EU-Japan collaboration have been recognized through his leadership roles in landmark projects and his success in securing multimillion-euro research contracts. He has been instrumental in initiating major projects such as e-VITA and CrossCDR, establishing international workshops, and founding research labs. His membership in prominent organizations like the Science & Technology Diplomatic Circle, DJW, JSAI, and the JSPS Alumni reflects his standing in the academic and industrial community.

🔬 Research Focus

His interdisciplinary research spans artificial intelligence, digital twins, circular economy, smart aging, and human-centric computing. He has played a vital role in developing technologies for healthy aging, environmental sustainability, and advanced manufacturing. Dr. Granrath’s involvement in projects like e-VITA and initiatives in digital transformation highlight his commitment to bridging societal needs with cutting-edge scientific innovation, especially within the EU-Japan cooperative framework.

📚 Top Publications with Notes

  1. RE-HAK: A Novel Refurbish-to-Host Solution Using AI-Driven Blockchain to Advance Circular Economy and Revitalize Japan’s Akiyas
    🔹 Buildings (2025)

  2. Designing a circular cities declaration for Japan building on the European Union’s case study
    🔹 Journal of Environmental Management (2024)
    🔹 Cited by: 5 articles

  3. Digital Twins for Supporting Ageing Well: Approaches in Current Research and Innovation in Europe and Japan
    🔹 Sustainability (2024)
    🔹 Cited by: 6 articles

  4. The rising phenomenon of circular cities in Japan: Case studies of Kamikatsu, Osaki and Kitakyushu
    🔹 Science of The Total Environment (2023)
    🔹 Cited by: 12 articles

  5. Circular economy and zero-carbon strategies between Japan and South Korea: A comparative study
    🔹 Science of The Total Environment (2022)
    🔹 Cited by: 18 articles

  6. Social Capital Mediates the Association between the ICT Usage and Well-Being of Older People in Japan
    🔹 Sustainability (2022)
    🔹 Cited by: 15 articles

  7. EU-Japan Project e-VITA in Society 5.0: the “Digital Twin for Smart Aging”
    🔹 LinkedIn Newsletter Article (2022)

 

Lirong Wang | Artifical Intelligence | Best Researcher Award

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Ms. Lirong Wang | Artifical Intelligence | Best Researcher Award

professor at Suzhou University, China

Professor Lirong Wang is a distinguished researcher at Soochow University, specializing in intelligent wearable devices and information processing. She earned her B.S. and Ph.D. from Jilin University and has been serving as a professor since 2014. Her research integrates microelectronics, machine learning, and biomedical engineering, with a strong focus on signal acquisition and analysis. Professor Wang leads several interdisciplinary projects and supervises graduate students, fostering innovation and academic growth. As the Principal Investigator of a National Key R&D Program, she demonstrates outstanding leadership in advancing cutting-edge technologies. She has authored over 40 peer-reviewed publications in prestigious journals such as IEEE Transactions on Biomedical Engineering and holds more than 20 invention patents, highlighting her contributions to both academic research and practical innovation. In addition to her research work, she actively participates in the global scientific community as a journal reviewer and organizer of international conference sessions in wearable technology and computer science.

Publication Profile

Education🎓

Professor Lirong Wang received her formal education at Jilin University, one of China’s premier institutions, where she earned both her Bachelor of Science (B.S.) and Doctor of Philosophy (Ph.D.) degrees. Her academic training focused on electronic engineering and information processing, laying a strong foundation for her specialization in intelligent wearable devices. Throughout her educational journey, she developed expertise in signal acquisition technologies, microelectronics, and data analysis, which later became the core pillars of her research. During her Ph.D. studies, Professor Wang engaged in interdisciplinary work that bridged engineering, computer science, and biomedical applications, positioning her at the forefront of next-generation health monitoring technologies. Her rigorous academic background and commitment to research excellence have equipped her with the analytical skills and innovative mindset needed to lead complex scientific projects. This strong educational grounding has played a pivotal role in shaping her successful academic and research career at Soochow University.

Professional Experience 💼

Professor Lirong Wang has built a robust professional career centered on interdisciplinary research and academic leadership. Since 2014, she has served as a professor at Soochow University, where she specializes in intelligent wearable devices, signal acquisition, and biomedical information processing. Her professional experience spans leading national-level R&D programs and supervising numerous graduate students, fostering innovation in both academia and applied technology. As the Principal Investigator of a National Key Research and Development Program, she has demonstrated exceptional capability in managing large-scale, collaborative research projects. Professor Wang has authored over 40 peer-reviewed publications and holds more than 20 invention patents, reflecting a strong commitment to both theoretical advancement and technological innovation. Beyond her university role, she contributes to the global research community as a reviewer for prestigious journals and an organizer of international conference sessions, particularly in wearable technology and computer science. Her experience reflects a deep integration of research, mentorship, and scientific engagement.

Research Interest 🔬

Professor Lirong Wang has a diverse and forward-thinking research portfolio centered on the development and application of intelligent wearable devices and biomedical information processing. Her primary interests lie in signal acquisition technology, physiological data analysis, and the integration of machine learning with microelectronic systems for real-time health monitoring and diagnostics. She is particularly focused on designing wearable platforms capable of accurately capturing and interpreting complex biological signals, such as ECG and EMG, to support early disease detection and personalized healthcare. Her interdisciplinary approach merges principles from biomedical engineering, computer science, and electrical engineering, creating practical solutions for next-generation health technologies. Additionally, she explores low-power sensor systems, data fusion algorithms, and human-computer interaction interfaces within wearable technologies. Professor Wang’s research aims to bridge the gap between theoretical modeling and real-world applications, ultimately enhancing the reliability and usability of wearable systems in clinical, athletic, and daily life settings.

Research Skill🔎

Professor Lirong Wang possesses a comprehensive set of research skills that reflect her expertise in intelligent wearable technology, biomedical engineering, and data-driven signal processing. She is highly skilled in designing and developing advanced wearable systems, with a strong command of microelectronic circuit design, sensor integration, and embedded system programming. Her proficiency in signal acquisition and processing allows her to extract meaningful insights from complex physiological data such as ECG, EMG, and PPG. She is also adept at applying machine learning algorithms for pattern recognition, anomaly detection, and predictive modeling in healthcare applications. In addition, she demonstrates expertise in managing interdisciplinary research teams, coordinating large-scale projects, and supervising graduate-level research. Professor Wang is experienced in securing research funding, particularly as a Principal Investigator on national R&D initiatives. Her ability to bridge theoretical knowledge with practical innovation highlights her strong analytical, experimental, and collaborative research capabilities across multiple scientific domains.

Award and Honor🏆

Professor Lirong Wang has received several prestigious awards and honors in recognition of her outstanding contributions to research and innovation in the fields of intelligent wearable devices and biomedical engineering. As the Principal Investigator of a National Key R&D Program, she has been recognized at the national level for her leadership and scientific excellence. Her pioneering work has earned accolades from academic institutions and government agencies, including awards for Technological Innovation and Excellence in Research. She has also been honored for her contributions to patent development, with over 20 invention patents credited to her name, many of which have led to real-world applications. Professor Wang’s high-impact publications in leading journals such as IEEE Transactions on Biomedical Engineering have further contributed to her reputation as a top researcher. Additionally, she has received invitations to serve as a reviewer and session chair at international conferences, reflecting her respected status in the global scientific community.

Conclusion📝

Professor Lirong Wang is highly suitable for the Best Researcher Award. His sustained contributions to interdisciplinary research, innovation through patents, and leadership in national research programs mark him as a leading figure in the field of intelligent wearable devices and biomedical engineering. With some enhancement in international collaboration and outreach, his profile stands as exemplary in both academic and practical domains.

Publications Top Noted📚

  • End-to-End ECG Signal Compression Based on Temporal Information and Residual Compensation

    • Year: 2025

    • Journal: Circuits, Systems, and Signal Processing

  • QRS Wave Detection Algorithm of Dynamic ECG Signal Based on Improved U-Net Network

    • Year: 2025

    • Journal: ICIC Express Letters, Part B: Applications

  • TrCL-AGS: A Universal Sequential Triple-Stage Contrastive Learning Framework for Bacterial Detection With Across-Growth-Stage Information

    • Year: 2025

    • Journal: IEEE Internet of Things Journal

  • Multi-label Few-Shot Classification of Abnormal ECG Signals Using Metric Learning

    • Year: 2025

    • Journal: Circuits, Systems, and Signal Processing

  • Automated Deep Learning Model for Sperm Head Segmentation, Pose Correction, and Classification (Open Access)

    • Year: 2024

    • Journal: Applied Sciences (Switzerland)

  • Instance Segmentation of Mouse Brain Scanning Electron Microscopy Images Based on Fine-Tuning Nature Image Model

    • Year: 2024

    • Journal: Guangxue Jingmi Gongcheng / Optics and Precision Engineering

    • Citations: 1

  • Multi-label Classification of Arrhythmia Using Dynamic Graph Convolutional Network Based on Encoder-Decoder Framework

    • Year: 2024

    • Journal: Biomedical Signal Processing and Control

    • Citations: 4

  • Two-Stage Error Detection to Improve Electron Microscopy Image Mosaicking

    • Year: 2024

    • Journal: Computers in Biology and Medicine

    • Citations: 2