Asst. Prof. Birojit Das: Assistant Professor at Amity University Kolkata, India
Dr. Birojit Das is an accomplished mathematician and Assistant Professor at Amity University Kolkata, India, with specialized expertise in uncertainty theory, fuzzy mathematics, and sequence spaces. He completed his Ph.D. at the National Institute of Technology Agartala, where he focused on the theory of complex uncertain variables and matrix transformations. His work bridges abstract mathematical theory with practical applications, contributing significantly to the development of uncertainty theory—a field initiated by Prof. Boading Liu.
Online Profiles
Dr. Das actively engages with the global research community through profiles on platforms like ResearchGate, Google Scholar, and ORCID, where he disseminates his extensive body of work. He is also a life member of professional societies including The Indian Mathematical Society and The Indian Science Congress Association. Furthermore, he serves as a reviewer for multiple respected international journals in mathematics, uncertainty, and fuzzy systems, reflecting his recognized expertise in the field.
Dr. Birojit Das has a total of over 400 citations across his publications, with an h-index of 12 and an i10-index of 15, reflecting the consistent impact and recognition of his research within the academic community.
Education
Dr. Das completed his early education in Tripura, India, followed by a BSc in Mathematics from MBB College with a 70% score and an MSc in Mathematics at NIT Agartala, achieving a 9.33 CGPA. He pursued his Ph.D. from 2017 to 2021 at NIT Agartala, where his dissertation titled “A Study on Sequences of Complex Uncertain Variable and Matrix Transformation” explored convergence and transformation theories within uncertainty spaces, laying a strong foundation for his future research career.
Research Focus
His primary research interest lies in uncertainty theory and credibility theory, with a focus on the convergence properties of uncertain sequences and series. He explores both weak and strong convergence, matrix transformations, and the introduction of new convergence concepts within uncertain sequence spaces. Additionally, Dr. Das delves into fuzzy topological structures and their operational mechanisms, contributing to advancements in fuzzy bitopological spaces and neutrosophic metric spaces.
Experience
Dr. Das has accumulated diverse academic experience starting as a Guest Lecturer and Ad-hoc Faculty at several prestigious institutions such as NIT Warangal and NIT Jalandhar. Since July 2024, he has been an Assistant Professor at Amity University Kolkata. He also participated in specialized training programs like the Mini-MTTS in 2013 and engaged in knowledge exchange activities at Tsinghua University, China, further enriching his academic and research skills.
Research Timeline & Activities
Since beginning his Ph.D. research in 2017, Dr. Das has developed a prolific publication record with over 50 articles in international journals, steadily increasing his h-index to 12. He has presented keynote speeches and invited lectures at top global universities and conferences including Tsinghua University, Yangzhou University, and the Alfred Renyi Institute of Mathematics in Hungary. His collaborations often focus on applying uncertainty theory to sequence spaces and advancing theoretical frameworks in this emerging domain.
Awards & Honors
Dr. Das has been recognized with numerous accolades, such as the Gold Medal from NIT Agartala for academic excellence and several Best Research Paper Awards at international conferences, including the 6th International Conference on Uncertainty Theory. He was honored with the Bharat Ratna Mother Teresa Gold Medal Award and twice received the B.R. Ambedkar Prize from the Tripura State Government. His research is highly regarded by prominent scholars, including an invitation by Prof. Boading Liu to deliver invited lectures at Tsinghua University.
Top Noted Publication
A highly cited work is his article “Statistical convergence of complex uncertain triple sequence,” published in Communications in Statistics—Theory and Methods, which has garnered over 40 citations. This paper is considered seminal in extending the framework of statistical convergence to complex uncertain sequences, highlighting Dr. Das’s pivotal role in progressing uncertainty theory and its applications to functional analysis and sequence spaces.
Dr. Birojit Das has contributed several highly cited works in the field of uncertainty theory and sequence spaces. Notable publications include:
Characterization of statistical convergence of complex uncertain double sequences (2020, Analysis and Mathematical Physics), cited 56 times.
Statistical convergence of complex uncertain triple sequences (2021, Communications in Statistics-Theory and Methods), cited 43 times.
Almost convergence of complex uncertain triple sequences (2021, Proceedings of the National Academy of Sciences, India), cited 32 times.
Some Continuous Neutrosophic Distributions with Neutrosophic Parameters Based on Neutrosophic Random Variables (2022, Advances in the Theory of Nonlinear Analysis and its Application), cited 26 times.
On strongly almost λ-convergence and statistically almost λ-convergence in the environment of uncertainty (2022, International Journal of General Systems), cited 25 times.
These influential papers reflect Dr. Das’s deep engagement with complex uncertain sequences and convergence concepts, underpinning his leading role in the advancement of uncertainty theory.
Strengths for the Best Innovator Award
Pioneering Research in Uncertainty Theory:
Dr. Birojit Das has significantly advanced the theory of complex uncertain sequences, introducing novel concepts of statistical and almost convergence in uncertain and neutrosophic environments. His work bridges classical mathematical theory with emerging fields, fostering new methods for handling uncertainty in mathematical analysis.High Research Impact and Recognition:
With over 400 citations, an h-index of 12, and multiple highly cited publications in prestigious journals, Dr. Das’s research has demonstrated consistent academic influence. His work is recognized globally, evidenced by invitations to deliver lectures at leading universities such as Tsinghua University and the Alfred Renyi Institute.Innovative Applications of Abstract Theory:
Beyond theoretical contributions, Dr. Das explores practical applications of uncertainty and fuzzy mathematics in diverse fields, such as neutrosophic distributions and fuzzy topological spaces. This interdisciplinary approach showcases his ability to translate complex mathematical ideas into tools with broad applicability.Active International Collaboration and Knowledge Exchange:
Dr. Das has engaged with global academic communities through research collaborations, keynote speeches, and training programs, including notable exchanges at Tsinghua University, China. This reflects his commitment to innovation through global partnerships and continuous learning.Recognition Through Prestigious Awards and Leadership:
His achievements include gold medals for academic excellence, best research paper awards, and esteemed honors such as the Bharat Ratna Mother Teresa Gold Medal Award. These accolades reflect both the quality and innovation of his work, marking him as a leader in uncertainty theory and applied mathematics.