Abhijeet Das | Data Science | Best Researcher Award

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Dr. Abhijeet Das | Data Science | Best Researcher Award

Dr. Abhijeet Das | C. V. Raman Global University | India

Dr. Abhijeet Das is a research consultant specializing in water resources and GIS, with extensive expertise in hydrological modeling, environmental assessment, and spatial analysis. His academic and research contributions focus on surface water quality, pollution vulnerability, and sustainable water management across major Indian river basins such as the Mahanadi, Brahmani, and Baitarani. He has authored 94 research documents and received 256 citations across 130 referencing works, reflecting his growing academic impact and research visibility. His h-index of 9 underscores his consistent scholarly contributions and influence in environmental geoinformatics, water quality modeling, and GIS-integrated decision systems. Dr. Das’s research integrates artificial intelligence, machine learning, and remote sensing to advance predictive models for hydrological vulnerability and environmental sustainability. His innovative methodologies for water quality mapping, pollution source apportionment, and spatial decision support have supported both academic advancements and applied water governance frameworks. Through numerous international collaborations and conference presentations, his work has contributed to global initiatives aligned with the Sustainable Development Goals, particularly SDG 6 (Clean Water and Sanitation) and SDG 13 (Climate Action), promoting scientific innovation for sustainable resource management.

Profile:  Scopus 

Featured Publications

  • Das, A. (2025). Drinking water resources suitability assessment in Brahmani River, Odisha based on pollution index of surface water utilizing advanced water quality methods. Scientific Reports.

  • Das, A. (2025). An optimization-based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. Discover Environment.

  • Das, A., & Mishra, S. (2025). Reimagining biofiltration for sustainable industrial wastewater treatment.

Aqsa Zafar Abbasi | Data Science | Women Researcher Award

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Ms. Aqsa Zafar Abbasi | Data Science | Women Researcher Award

Ms. Aqsa Zafar Abbasi, Institute of Space Technology, Pakistan

Ms. Aqsa Zafar Abbasi is a PhD candidate in Mathematics at the Institute of Space Technology, Pakistan, specializing in group theory, cryptography, and mathematical modeling. Her research focuses on the parametric exploration of homomorphisms of modular groups for finite generalized triangle groups, with applications in image encryption, substitution box design, and neural network-based cryptographic security. With six years of teaching experience, she has served as a visiting lecturer at multiple institutions, teaching courses in differential equations, discrete mathematics, graph theory, and engineering mathematics. She has published extensively in high-impact journals, contributing to research in cryptography, fuzzy algebra, and numerical simulations. Aqsa is proficient in MATLAB, Python, R, and computational intelligence techniques, making her a dedicated researcher in the fields of mathematics and data security.

Profile

Scopus

Summary:

Ms. Aqsa Zafar Abbasi is an exceptional researcher in mathematical cryptography, data security, and computational mathematics. Her significant contributions to encryption techniques, strong publication record, and interdisciplinary expertise make her a strong candidate for the Research for Women Researcher Award. While she already has an impressive academic and research background, expanding collaborations, engaging in industry applications, and securing research funding could further elevate her contributions.

 

🎓 Education

Aqsa Zafar Abbasi is currently pursuing a PhD in Mathematics at the Institute of Space Technology, Islamabad, Pakistan, with an expected completion date in February 2025. Her research focuses on the parametric exploration of homomorphisms of modular groups for finite generalized triangle groups, with applications in cryptography and neural network-based encryption. She holds an MS in Mathematics from the same institution, completed in 2021, where she explored algebraic characteristics of bipolar-valued fuzzy subgroups and their applications in decision-making and S-box analysis. She also earned an MSc in Mathematics from PMAS Arid Agriculture University, Rawalpindi, with an excellent academic record.

 

💼Experience

With six years of teaching experience, Aqsa has served as a visiting lecturer at prestigious institutions, including Pir Mehr Ali Shah Arid Agriculture University, National Defence University, Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (SZABIST), and the Institute of Space Technology, Islamabad. She has taught differential equations, discrete mathematics, graph theory, real analysis, linear algebra, and engineering mathematics to students in mathematics, software engineering, and computer science programs.

 

🔬Research Focus

Aqsa’s research expertise includes group theory, cryptography, algebraic geometry, numerical solutions of PDEs, and machine learning applications in mathematical modeling. She specializes in highly secure substitution box construction for encryption, particularly for image encryption and watermarking, using parameterized homomorphisms of modular groups. Additionally, she integrates neural networks with encryption schemes to enhance data security. Her research also extends to bipolar-valued fuzzy set theory, focusing on its applications in decision-making and cryptographic analysis.

Awards

Aqsa has gained recognition for her contributions to cryptography, algebraic structures, and numerical analysis, with publications in renowned scientific journals. Her research on mathematical modeling and encryption techniques has positioned her as a dedicated scholar in her field.

Skills

Aqsa possesses a diverse skill set, including mathematical modeling, computational intelligence, programming (C++, Python, MATLAB, R, Wolfram Mathematica), research writing, editing, and proofreading. She is also skilled in seminar organization, event management, leadership, and teamwork, making her a well-rounded academic professional.

 

Publications

  • Publication: A digital audio data protection method using parametric action of generalised triangle group on GF(28)
    Authors: A.Z. Abbasi (Aqsa Zafar Abbasi), A. Rafiq (Ayesha Rafiq), B.M. Alshammari (Badr Mesned)
    Journal: Ain Shams Engineering Journal
    Year: 2025

 

Conclusion:

Ms. Aqsa Zafar Abbasi is a highly qualified and deserving candidate for the Research for Women Researcher Award. Her expertise in mathematical cryptography, interdisciplinary research, and teaching makes her a valuable asset to the academic community. With continued research, international collaborations, and industry engagement, she has the potential to make even greater contributions to her field.