PhD Scholar, South Asian University, India
Mohammad Aqil Sahil is a dedicated scholar in Applied Mathematics, specializing in fuzzy data envelopment analysis and its applications in decision-making. He is currently pursuing a Ph.D. at South Asian University, New Delhi, India. With a strong academic foundation, he has served as a Lecturer at Kateb University, where he integrates innovative teaching methodologies with research excellence. His contributions to academia include multiple high-impact publications in renowned journals and conferences. His research explores advanced mathematical models to optimize efficiency and decision-making frameworks. Committed to academic development, he actively engages in collaborations bridging academia and industry.
PROFESSIONAL PROFILE
Orcid
Scopus
STRENGTHS FOR THE AWARD ✅
- Strong Research Output 📚
- Published multiple high-impact journal articles in Engineering Applications of Artificial Intelligence, MethodsX, and Computational Economics.
- Contributions to IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) indicate expertise in advanced fuzzy systems and data envelopment analysis.
- Specialization in Applied Mathematics & AI-based Decision Models 🔢
- Expertise in Fuzzy Data Envelopment Analysis, Intuitionistic Fuzzy Systems, and Optimization Models.
- Research work integrates AI-driven efficiency assessment with real-world applications like banking and economics.
- Academic Contributions & Teaching Excellence 🎓
- Lecturer at Kateb University, demonstrating active involvement in academia.
- Promotes research collaborations and external funding opportunities, showing leadership in fostering a research culture.
- Collaboration & Impact 🤝
- Worked with renowned researchers (Ashutosh Tiwari, Q.M. Danish Lohani, Meenakshi Kaushal) from prestigious institutions.
- Research aligns with real-world decision-making applications in economics, banking, and operational efficiency.
AREAS FOR IMPROVEMENTS 🔄
- More Interdisciplinary Research
- Expanding research to include broader machine learning, neural networks, and real-time AI applications could enhance impact.
- International Collaborations & Grants
- Securing international research grants and collaborative projects with leading global institutions could strengthen credentials.
- Citations & Industry Applications
- Increasing citations and industry-level implementations of research findings would further validate the work’s practical significance.
EDUCATION 🎓
- Ph.D. in Applied Mathematics (2018 – Present)
South Asian University, New Delhi, India
Focus: Fuzzy logic, Data Envelopment Analysis, Optimization Models
- MSc in Applied Mathematics (2016 – 2018)
South Asian University, New Delhi, India
Specialization: Mathematical Modeling, Decision Analysis, Fuzzy Systems
EXPERIENCE 💼
- Lecturer, Kateb University (Mar 2021 – Aug 2024)
- Taught Computer Science and Economics courses
- Implemented innovative teaching strategies to enhance student learning
- Conducted extensive research in Applied Mathematics and Data Envelopment Analysis
- Encouraged research collaborations and increased research proposal submissions
AWARDS AND HONORS 🏆
- Best Researcher Award – Recognized for outstanding contributions to Applied Mathematics research
- Excellence in Teaching Award – Honored for exceptional teaching methodologies at Kateb University
- Research Grant Recipient – Secured funding for multiple research projects in data analytics
- Invited Speaker – Presented at international conferences on fuzzy decision-making
RESEARCH FOCUS 🔬
- Fuzzy Data Envelopment Analysis – Developing advanced models for efficiency assessment
- Decision Optimization – Enhancing computational models for economic and operational decision-making
- Intuitionistic Fuzzy Systems – Incorporating uncertainty in real-world applications
- Parabolic and Pythagorean Fuzzy Approaches – Creating innovative models for banking and finance efficiency analysis
PUBLICATION TOP NOTES 📚
- Two-stage type-2 fuzzy parabolic double frontier data envelopment analysis – Engineering Applications of Artificial Intelligence (2025)
- Comprehensive intuitionistic fuzzy network data envelopment analysis incorporating undesirable outputs and shared resources – MethodsX (2024)
- A Novel Pythagorean Approach Based Sine-Shaped Fuzzy Data Envelopment Analysis Model: An Assessment of Indian Public Sector Banks – Computational Economics (2024)
- Parabolic Intuitionistic Fuzzy based Data Envelopment Analysis – IEEE FUZZ-IEEE Conference (2021)
- A Parabolic Based Fuzzy Data Envelopment Analysis Model with an Application – IEEE FUZZ-IEEE Conference (2020)
CONCLUSION 🎖️
Mohammad Aqil Sahil is a strong candidate for the Best Researcher Award. His exceptional contributions to fuzzy data envelopment analysis, AI-based efficiency models, and interdisciplinary research make him a well-qualified contender. With additional global collaborations, interdisciplinary expansion, and real-world applications, his research impact could reach even greater heights.