Assist. Prof. Dr. Mohanned M. H. AL-Khafaji | Artificial Intelligence | Best Researcher Award

Published on by Computer Scientists Awards

Assist. Prof. Dr. Mohanned M. H. AL-Khafaji | Artificial Intelligence | Best Researcher Award

Engineering | University of Technology | Iraq

Dr. Mohanned Mohammed Hussein Al-Khafaji is an accomplished researcher and academic leader in production engineering, specializing in intelligent manufacturing systems, laser material processing, neural network modeling, and fuzzy logic control applications. As Dean of the College of Production Engineering and Metallurgy at the University of Technology, Baghdad, his research integrates computational modeling, automation, and artificial intelligence to enhance production efficiency and precision engineering. He has made significant contributions to the development of computer-controlled manufacturing systems, laser-based material processing, and predictive modeling using advanced algorithms. His work on CO₂ laser processing, neural network-based machining analysis, and hybrid intelligent systems has advanced industrial automation and smart manufacturing processes. Dr. Al-Khafaji’s research also explores mechatronics, robotic systems, and additive manufacturing, emphasizing simulation tools like Abaqus, COMSOL Multiphysics, and MATLAB. His scientific output reflects substantial academic influence, with 15 Scopus-indexed documents, 41 citations from 37 documents, and an h-index of 3. On Google Scholar, he has accumulated 125 citations, an h-index of 6, and an i10-index of 4, underscoring his growing impact in engineering research.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Al-Khafaji, M. M. H., & Hubeatir, K. A. (2021). CO2 laser micro-engraving of PMMA complemented by Taguchi and ANOVA methods. Journal of Physics: Conference Series, 1795(1), 012062.

Al-Khafaji, M. M. H. (2018). Neural network modeling of cutting force and chip thickness ratio for turning aluminum alloy 7075-T6. Al-Khwarizmi Engineering Journal, 14(1), 67–76.

Khayoon, M. A., Hubeatir, K. A., & Al-Khafaji, M. M. (2021). Laser transmission welding is a promising joining technology technique – A recent review. Journal of Physics: Conference Series, 1973(1), 012023.

Momena, T. F. A., Mohammed, M. M. H., & Al-Khafaji, M. M. H. (2023). Smart robot vision for a pick and place robotic system. Engineering and Technology Journal, 40(6), 1–15.

Shaker, F., Al-Khafaji, M., & Hubeatir, K. (2020). Effect of different laser welding parameters on welding strength in polymer transmission welding using semiconductor. Engineering and Technology Journal, 38(5), 761–768.*

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

Published on by Computer Scientists Awards

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.