Anum Shafiq, a Senior Researcher at IT4Innovations, has been honoured as one of the top scientists globally. The recognition comes from the California-based ScholarGPS, which included her in its prestigious list of highly ranked scientists for her exceptional contributions to science and research. She ranks 23rd in the field of artificial neural networks.
For her outstanding achievements over the past five years, Anum Shafiq has earned a ranking among the top 0.05% of scientists globally, recognition among the top 0.05% in Physical Sciences and Mathematics, and an impressive 23rd place in the field of artificial neural networks.
Her research spans diverse areas, including numerical methods for boundary value problems, computational techniques based on traditional and heuristic paradigms, Newtonian and non-Newtonian nanofluids, statistics, distribution theory, and multidisciplinary applications of mathematics. She is a prolific researcher with more than 170 SCI-indexed research papers, a remarkable h-index of over 51, and more than 7,000 citations.
Interview with Anum Shafiq:
Being ranked among the top 0.05% of scientists globally is an incredible achievement. What does this recognition mean to you personally and professionally?
Shafiq: Being ranked among the top 0.05% of scientists is a huge honor. Personally, it feels rewarding to see my hard work recognized. Professionally, it boosts my reputation and opens up more opportunities for collaboration and funding, allowing me to make a greater impact in my field.
Can you explain your research in Artificial Neural Networks? Do you focus on any specific area within this field?
Shafiq: My research in Artificial Neural Networks (ANNs) likely focuses on improving how these networks solve complex problems. I work on making the algorithms more efficient and applying them to areas like physics, engineering, or nanofluids, which are part of my broader research interests.
What challenges have you faced in your research, and how have you overcome them?
Shafiq: While I have faced challenges, such as limited resources at times, I didn’t let that hold me back. There were moments when I felt there was some politics around, but it never became a major issue. Overall, the journey wasn’t easy, but it provided valuable lessons that made me stronger. The experience has been incredibly enriching, and I’ve learned so much along the way.
What are your goals for the next five years in your research?
Shafiq: In the next five years, my goal is to further advance my research in Artificial Neural Networks and other computational techniques. I aim to explore new methods for solving complex problems, particularly in areas like nanofluids and multidisciplinary applications of mathematics. I also hope to collaborate with more experts in various fields to expand the impact of my work and continue contributing to the scientific community with high-quality, innovative research.
What are you most proud of so far – research-wise?
Shafiq: I am honored to be ranked among the top 0.05% of scientists globally and to hold the 23rd position in Artificial Neural Networks, a testament to the significant impact of my research in areas such as nanofluids and advanced mathematical methods. With over 170 published research papers and more than 7,000 citations, these achievements reflect the dedication and influence of my work in advancing scientific knowledge and innovation.