Dr. Yan WU | Data Cleaning | Best Researcher Award

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Dr. Yan WU | Data Cleaning | Best Researcher Award

Lecturer, Department of Foundational Courses Dujiangyan Campus, Sichuan Agricultural University, China

Yan Wu is a dedicated statistician and lecturer at Sichuan Agricultural University, specializing in the intersection of statistics and data science. With a strong academic foundation and international research exposure, Yan focuses on innovative statistical methods applied to environmental science and knowledge base correction.

Publication Profile

Google Scholar

🎓 Education Background

Yan Wu earned a PhD in Statistics from Southwest University in 2023 under Professor Zili Zhang. During the PhD, Yan expanded research expertise as a visiting scholar at the University of Luxembourg’s Big Data Group. Prior to this, Yan completed a Master’s in Probability and Mathematical Statistics at Chengdu University of Technology and a Bachelor’s degree in Mathematics and Applied Mathematics from Southwest University of Science and Technology with high honors.

💼 Professional Experience

Yan Wu currently serves as a lecturer at Sichuan Agricultural University, Department of Foundational Courses. Yan’s research includes guided inductive logic programming and 3D geological modeling, contributing to cross-disciplinary projects in statistics, artificial intelligence, and environmental modeling. Yan has also been involved in several national and international research projects integrating big data and machine learning techniques.

🏆 Awards and Honors

Yan has been recognized multiple times, including the prestigious CSC-funded Visiting PhD Scholar position at the University of Luxembourg in 2018, outstanding trainee awards in Sichuan Higher Education Teacher Qualification Program, and several academic scholarships and innovation awards during graduate studies. Notably, Yan won third prize in a campus-wide mathematical modeling competition, highlighting strong analytical and problem-solving skills.

🔍 Research Focus

Yan Wu’s research focuses on statistical modeling for environmental issues such as carbon emission markets, as well as the application of guided inductive logic programming to clean and correct large knowledge bases. This interdisciplinary work bridges environmental science, data science, and artificial intelligence to create efficient, data-driven solutions.

🔚 Conclusion

With a robust educational background, diverse research experience, and notable academic achievements, Yan Wu is a promising early-career researcher contributing significantly to statistical science and its applications in environmental and knowledge systems.

📚 Publication Top Notes

  1. Reducing greenhouse gas emissions: a duopoly market pricing competition and cooperation under the carbon emissions cap
    M Jian, H He, C Ma, Y Wu, H Yang
    Environmental Science and Pollution Research 26, 16847-16854 (2019)
    Cited by 31 article

  2. A green production strategies for carbon-sensitive products with a carbon cap policy
    C Ma, X Liu, H Zhang, Y Wu
    Advances in Production Engineering & Management 11(3), 216-226 (2016)
    Cited by 19 articles

  3. Guided inductive logic programming: Cleaning knowledge bases with iterative user feedback
    Y Wu, J Chen, P Haxhidauti, V Ellampallil Venugopal, M Theobald
    6th Global Conference on Artificial Intelligence (GCAI 2020) (2020)
    Cited by 2 articles

  4. Correcting large knowledge bases using guided inductive logic learning rules
    Y Wu, Z Zhang, G Wang
    PRICAI 2021: Trends in Artificial Intelligence (2021)
    Cited by 1 article

  5. An Inductive Logical Model with Exceptional Information for Error Detection and Correction in Large Knowledge Bases
    Z Wu, Yan and Lin, Xiao and Lian, Haojie and Zhang
    Mathematics 13(11), Article 187 (2025)

 

Assist. Prof. Dr. Sachin Pawar | Medicine | Best Researcher Award

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Assist. Prof. Dr. Sachin Pawar | Medicine | Best Researcher Award

Assistant Professor,Pharmaceutical Quality Assurance Manipal College of Pharmaceutical Sciences Manipal Academy of Higher Education, India

Dr. Sachin Dattram Pawar is an accomplished pharmaceutical scientist and Assistant Professor at the Department of Pharmaceutical Quality Assurance, Manipal College of Pharmaceutical Sciences, MAHE, India. With a Ph.D. in Pharmaceutical Sciences and extensive expertise in analytical chemistry, formulation development, and plant metabolomics, he has contributed significantly to advanced pharmaceutical research. His international exposure includes a postdoctoral fellowship at Sorbonne University, France, and prior industrial experience as a mass spectrometry specialist. He is recognized for innovative work in LC-MS/MS, GC-MS, and MALDI-TOF analysis, contributing to impactful publications and patent filings, showcasing a deep commitment to scientific advancement.

Publication Profile

Google Scholar

ORCID

Scopus

🎓 Education Background

Dr. Pawar holds a Ph.D. in Pharmaceutical Sciences (2024) from the National Institute of Pharmaceutical Education and Research, Guwahati (NIPER-G), where he investigated the pharmacokinetics of antidepressants in combination with herbal compounds. He earned his M.Pharm in Quality Assurance (2017–2019) with distinction from Swami Ramanand Teerth Marathwada University, Nanded, and completed his B.Pharm from the same university in 2017. His academic journey reflects consistent excellence in pharmaceutical education and research training.

🧪 Professional Experience

Dr. Pawar has over four years of combined academic and industrial experience. He is currently serving as an Assistant Professor at Manipal College of Pharmaceutical Sciences. He worked as a Postdoctoral Research Fellow at Sorbonne University, France (2024), and served as a mass spectrometry specialist at Waters India Pvt. Ltd. (2023–2024). His earlier roles include Executive QA at Daewoong Pharmaceuticals and Ph.D. research fellowship at NIPER-G. Throughout his career, he has engaged in interdisciplinary work involving formulation, pharmacokinetics, plant metabolomics, and analytical development.

🏅 Awards and Honors

Dr. Pawar is a recipient of certificates of appreciation from the National Dope Testing Laboratory, New Delhi, and NIPER-G for his contributions to anti-doping research. He qualified the national-level GPAT (2019) with AIR 1549 and secured a Ph.D. fellowship through NIPER-JEE (2020). He also held a leadership role as General Secretary at Nanded Pharmacy College during his undergraduate years, reflecting his dedication to both academic excellence and student leadership.

🔬 Research Focus

Dr. Pawar’s research centers on analytical and bioanalytical method development using hyphenated techniques like LC-MS/MS, GC-MS, and MALDI-TOF. His focus areas include drug metabolism and pharmacokinetics, solid lipid nanoparticles for drug delivery, endocrine-disrupting chemical analysis, and plant metabolomics using HRMS. He has published extensively on novel formulations, bioavailability enhancement, anti-doping reference standards, and natural compound profiling, with a multidisciplinary approach bridging pharmaceutical chemistry and modern analytical tools.

🧾 Conclusion

With a rapidly growing academic and research profile, Dr. Sachin D. Pawar represents a new generation of pharmaceutical scientists contributing to quality assurance, advanced drug delivery systems, and innovative analytical methodologies. His global exposure, cutting-edge expertise, and dedication to both education and research make him a strong contender for the Best Researcher Award.

📚 Top Publication Notes

  1. Amoxapine-Loaded Solid Lipid Nanoparticles with Superior Preclinical Pharmacokinetics for Better Brain Delivery (2023) – ACS Chemical Neuroscience
    ➤ Cited by: 18 | Co-authors: Kulhari H., Kumar P., Gawali K., Murty US
    ➤ Highlight: Demonstrated enhanced brain targeting and delivery using SLNs with robust LC-MS/MS data.

  2. Synthesis and Characterization of Octopamine Sulfate, Norfenefrine Sulfate, and Etilefrine Sulfate Reference Materials (2023) – Journal of Chemical Technology & Biotechnology
    ➤ Cited by: 10 | Co-authors: Kalita SJ, Vernekar P, Sethi KK, Sahu PL, Murty US
    ➤ Highlight: Developed vital anti-doping standards using advanced analytical techniques.

  3. Physicochemical Characterization and Pharmacokinetic Assessment of Bergamottin Solid Lipid Nanoparticles (2024) – Journal of Drug Delivery Science and Technology
    ➤ Cited by: 5 | Co-authors: Jat S., Singh P., Datusalia AK, Kumar P
    ➤ Highlight: Investigated enhanced bioavailability and delivery performance of herbal bioactives.

  4. Amphiphilic Dynamic Covalent Polymer Vectors of siRNA (2024) – Chemical Science
    ➤ Cited by: 3 | Co-authors: Trousselier P., Bessin Y., Bettache N., Ulrich S.
    ➤ Highlight: Showcased innovative siRNA delivery using DCP systems, reflecting interdisciplinary prowess.

  5. Process Development for the Total Synthesis of Carboxy Toremifene as a Standard for Anti-Doping (2022) – Drug Testing and Analysis
    ➤ Cited by: 11 | Co-authors: Kumar GJ, Dubey S, Murty US, Radhakrishnanand P
    ➤ Highlight: Pioneered synthesis and characterization of doping control metabolites.

 

 

Dr. vassilios lekidis | Engineering | Best Researcher Award

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Dr. vassilios lekidis | Engineering | Best Researcher Award

HEAD OF EARTHQUAKE RESISTANT BRANCH, OASP-ITSAK, Greece

Dr. Vassilios Lekidis is a distinguished Greek civil engineer and expert in earthquake engineering, with over four decades of professional and academic experience. Based in Thessaloniki, Greece, he has served as the General Director of the Institute of Engineering Seismology and Earthquake Engineering (ITSAK) across multiple terms, guiding key national and international seismic risk management projects. His contributions span leadership, engineering consulting, and high-impact research, particularly in structural dynamics and seismic vulnerability assessments.

Publication Profile

Scopus

🎓 Education Background

Dr. Lekidis holds a Ph.D. in Earthquake Engineering and Finite Elements (1995) and a B.Sc. in Engineering (1997) from the Aristotle University of Thessaloniki. He also earned an M.Sc. in Engineering from Delft University of Technology, Netherlands (1998), specializing in static and dynamic structural analysis. His educational foundation merges deep theoretical mechanics with advanced computational methods.

🏗️ Professional Experience

Beginning his career in the early 1980s, Dr. Lekidis led construction operations at top-tier Greek contracting firms like AKTOR and SARANTOPOULOS. He later transitioned to a consulting engineer role, focusing on seismic resilience for buildings, bridges, and silos. Most notably, he served three terms as General Director of ITSAK, contributing to policy, structural safety, and international seismic risk reduction efforts. He has been involved in major infrastructure evaluations, including bridges like the Evripos cable-stayed bridge.

🏅 Awards and Honors

Dr. Lekidis has held numerous prestigious appointments, such as Vice President of the Technical Chamber of Greece (Central Macedonia, 2009–2012), member of Greece’s Permanent Earthquake Planning Committee, and board member of ITSAK and EGNATIA SA. He has also participated in forming national seismic codes and organized engineering congresses. His esteemed reputation in seismology and engineering has been recognized by both scientific and governmental institutions.

🔬 Research Focus

His research expertise encompasses seismic behavior of structures, vulnerability assessment, remote sensing for structural monitoring, and the finite element analysis of infrastructure. He has led or contributed to European and NATO-supported projects including SERINA, EUROSEISTEST, and HiPER-CRACK. His scholarly work bridges theory and application, especially for seismic instrumentation and performance of reinforced concrete and bridge systems under seismic load.

🧩 Conclusion

Dr. Vassilios Lekidis exemplifies excellence in structural engineering and seismic safety. His leadership in ITSAK, robust academic portfolio, and dedication to earthquake risk reduction underscore his impact on both engineering practice and public safety. As a visionary and veteran in the field, his ongoing legacy continues to shape modern earthquake engineering in Greece and beyond.

Publication Top Notes

Experimental evaluation of a practical methodology for assessing the seismic demand from acceleration-sensitive secondary systems installed in R.C. buildings

 

Prof. Dr. Metin Zontul | Machine Learning | Best Researcher Award

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Prof. Dr. Metin Zontul | Machine Learning | Best Researcher Award

Dean, Sivas University of Science and Technology, Turkey

Prof. Dr. Metin Zontul is a seasoned academic and researcher in the fields of machine learning, data mining, and intelligent systems, currently serving as Professor and Dean at the Faculty of Engineering and Natural Sciences, Sivas University of Science and Technology, Turkey. With over 30 years of academic experience, he has held various esteemed positions at several universities in Turkey and contributed significantly to national-level research projects, innovation in artificial intelligence, and academic leadership.

Publication Profile

Google Scholar

ORCID

🎓 Education Background

He earned his Ph.D. in Quantitative Methods in Business Administration (2004) from the Institute of Social Sciences, focusing his dissertation on clustering countries trading with Turkey using SOM-type artificial neural networks. He holds an M.Sc. in Computer-Aided Design, Manufacturing, and Programming (1996), where he analyzed local area network access protocols, and a B.Sc. in Computer Engineering (1993) from Middle East Technical University.

💼 Professional Experience

Prof. Zontul has held multiple academic ranks, starting as a Lecturer at Cumhuriyet University (1994–2005) and advancing to Assistant, Associate, and then Professor at institutions such as Istanbul Aydın University, Arel University, Ayvansaray University, and Topkapi University. He has been a key academic leader, serving as Dean and Department Chair across several faculties. Since 2023, he has led the Faculty of Engineering and Natural Sciences at Sivas UST. He also supervises graduate theses and collaborates on research with TUBITAK and other industry-linked projects.

🏆 Awards and Honors

Prof. Zontul has received Publication Incentive Awards from Istanbul Aydın University in 2014 and 2016 for his scholarly contributions. He is a former member of IEEE and holds a 2024 patent for a Personnel Assignment and Routing System related to unit failure and maintenance operations.

🔬 Research Focus

His research interests span machine learning, deep learning, data mining, signal processing, natural language processing, and intelligent systems. He has contributed extensively to the scientific community through 25+ peer-reviewed journal articles, 20+ conference papers, and collaborative projects involving academia and industry. His supervision of numerous theses and his involvement in over 30 national research projects reflect his commitment to practical and academic advancements in AI.

🔚 Conclusion

Prof. Dr. Metin Zontul stands as a multifaceted academician blending research, leadership, and innovation. His significant contributions to AI, education, and national research initiatives have cemented his reputation as a leading scholar in his field.

📚 Top Publications 

  1. Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes (2021)
    Journal: Waste Management & Research
    Cited by: 92
    Co-authors: G. Coskuner, M.S. Jassim, S. Karateke

  2. Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation (2022)
    Journal: Waste Management & Research
    Cited by: 49
    Co-authors: M.S. Jassim, G. Coskuner

  3. Urban bus arrival time prediction: A review of computational models (2013)
    Journal: International Journal of Recent Technology and Engineering (IJRTE)
    Cited by: 123
    Co-author: M. Altinkaya

  4. Measuring the efficiency of telecommunication sectors of OECD countries using data envelopment analysis (2005)
    Journal: CU Journal of Economics and Administrative Sciences
    Cited by: 41
    Co-authors: O. Kaynar, H. Bircan

  5. Wind speed forecasting using reptree and bagging methods in Kirklareli-Turkey (2013)
    Journal: Journal of Theoretical and Applied Information Technology
    Cited by: 35
    Co-authors: F. Aydin, G. Dogan, S. Sener, O. Kaynar

  6. The prediction of the ZnNi thickness and Ni% of ZnNi alloy electroplating using a machine learning method (2021)
    Journal: Transactions of the IMF
    Cited by: 34
    Co-authors: R. Katirci, H. Aktas

  7. A smart and mechanized agricultural application: From cultivation to harvest (2022)
    Journal: Applied Sciences
    Cited by: 31
    Co-authors: F. Kiani, G. Randazzo, I. Yelmen, A. Seyyedabbasi, S. Nematzadeh, F.A. Anka, et al.

 

 

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

Published on by Computer Scientists Awards

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