Shamsun Nisa | Biotechnology | Best Researcher Award

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Ms. Shamsun Nisa | Biotechnology | Best Researcher Award

CSIR IIIM JAMMU- India

Author Profile

Early Academic Pursuits

Shamsun Nisa embarked on her academic journey with a Bachelor of Science degree from the University of Kashmir, Srinagar, Jammu and Kashmir, India, where she achieved a commendable 63.55% in her studies from 2014 to 2017. Her early academic pursuits laid a strong foundation in the biological sciences, which she further honed during her postgraduate studies.In 2017, Shamsun Nisa advanced her education with a Master of Science in Biotechnology, supported by the Department of Biotechnology (DBT). She attended Baba Ghulam Shah Badshah University, Rajouri, Jammu and Kashmir, India, where she excelled, securing 83% marks. This phase was crucial in shaping her scientific acumen and fostering her interest in bioinformatics and computational biology.

Professional Endeavors

Since 2021, Shamsun Nisa has been serving as a Senior Research Fellow at the Council of Scientific and Industrial Research-Indian Institute of Integrative Medicine (CSIR IIIM) in Jammu. In this role, she has been involved in advanced research, contributing significantly to various projects and initiatives within the institute. Her professional journey is marked by a commitment to leveraging her expertise in biotechnology to address complex biological questions and challenges.

Contributions and Research Focus

Shamsun Nisa’s research interests are deeply rooted in bioinformatics and computational biology, with a particular focus on DNA barcoding and the analysis of genome and transcriptome data. Her work involves utilizing computational tools and methodologies to decode biological data, which has broad implications for understanding genetic diversity, evolutionary biology, and disease mechanisms.

Her contributions to the field are characterized by a meticulous approach to data analysis and a keen interest in developing innovative solutions to biological problems. By integrating bioinformatics with traditional biological research, she aims to push the boundaries of what can be achieved in genomics and molecular biology.

Accolades and Recognition

One of Shamsun Nisa’s notable achievements is qualifying for the joint CSIR-UGC-JRF NET, securing an impressive rank of 151 in the examination held on December 15, 2019. This accolade is a testament to her exceptional knowledge and competence in the field of biotechnology. The qualification is highly competitive and is a significant milestone that highlights her dedication and expertise.

Impact and Influence

Through her work at CSIR IIIM Jammu, Shamsun Nisa has made impactful contributions to the scientific community. Her research in genome and transcriptome data analysis not only advances our understanding of biological processes but also opens new avenues for applied research in medicine, agriculture, and environmental science. Her efforts in DNA barcoding, for instance, provide crucial insights into species identification and conservation biology.

Legacy and Future Contributions

As a Senior Research Fellow and an emerging leader in bioinformatics and biotechnology, Shamsun Nisa’s legacy is defined by her commitment to scientific excellence and innovation. Her future contributions are expected to further the field of computational biology, with potential applications in various domains including personalized medicine, biotechnology, and biodiversity conservation.Looking ahead, Shamsun Nisa is poised to continue her pioneering work, driving forward the boundaries of research and making significant strides in her field. Her career trajectory indicates a promising future filled with continued contributions to science and society, positioning her as a key figure in the ongoing evolution of biotechnology research.

Citations

A total of 48 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         48
  • h-index           3
  • i10-index        2

Notable Publications 

Deciphering the role of codon usage bias on gene expression and pathogen colonization in Crocus sativus

S Nisa, S Gupta, W Ahmed, R Singh

Prevalence of Suicide Ideation and Suicide Attempts among Youth of Kashmir

SUN Nisa, Prevalence

Mr. Subhrangshu Das – Bioinformatics – Best Researcher Award 

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Mr. Subhrangshu Das - Bioinformatics - Best Researcher Award 

CSIR-Indian Institute of Chemical Biology - India

PROFESSIONAL PROFILES

SCOPUS

GOOGLE SCHOLAR

Early Academic Pursuits

Subhrangshu Das's academic journey began with a strong foundation in science during his Higher Secondary Examination at Agarpara Mahajati Vidyapith, West Bengal, where he excelled in subjects like Physics, Chemistry, Mathematics, and Statistics. He then pursued a Bachelor of Technology (B.Tech.) in Computer Science & Engineering from Narula Institute of Technology, graduating with first-class honors in 2012. His quest for knowledge led him to Jadavpur University, where he earned a Master of Engineering (M.E.) in Computer Science & Engineering in 2014, also with first-class honors. His academic pursuits culminated in submitting his Ph.D. thesis in Structural Biology and Bioinformatics at the University of Calcutta in 2022, showcasing his interdisciplinary approach to combining computer science with biological research.

Professional Endeavors

Subhrangshu Das's professional career is marked by significant roles at the CSIR-Indian Institute of Chemical Biology. He began as a Junior Research Fellow in August 2022, progressing to a Senior Research Fellow by November 2015. His dedication and expertise earned him the position of Research Associate in August 2022. Throughout these roles, he has been involved in critical research projects that bridge computer science and bioinformatics, demonstrating his ability to apply computational techniques to biological problems.

Contributions and Research Focus On Bioinformatics

Subhrangshu Das has made substantial contributions to the fields of structural biology and bioinformatics. His research primarily focuses on image processing, machine learning, and data science, applied to medical and biological problems. Notable projects include developing an algorithm for detecting Alzheimer's disease from brain MRI using image processing and machine learning techniques, and quantifying and categorizing strokes from brain CT scan images. His work on the classification and prediction of protein-protein interaction interfaces using machine learning algorithms has been published in reputable journals, Bioinformatics highlighting his innovative approach to computational biology.

Accolades and Recognition

Throughout his career, Subhrangshu Das has received numerous accolades and recognition for his academic and research excellence. He qualified for the GATE examination twice, in 2011 and 2012, and achieved a commendable All India Rank. He also qualified for the CSIR NET in December 2014, securing an impressive rank of 92. His achievements have been further recognized through scholarships from UGC and CSIR, Bioinformatics supporting his studies and research endeavors. These accolades underscore his commitment to academic excellence and research innovation.

Impact and Influence

Subhrangshu Das's work has had a significant impact on both the academic and research communities. His contributions to Alzheimer's disease detection and stroke quantification have the potential to influence medical diagnostics and patient care. His mentorship and collaboration with peers and students have helped foster a new generation of researchers in the fields of computer science and bioinformatics. His published works and conference presentations have disseminated his research findings to a broader audience, Bioinformatics influencing ongoing studies and sparking new research ideas.

Legacy and Future Contributions

Looking ahead, Subhrangshu Das's legacy in interdisciplinary research is poised to inspire future innovations in bioinformatics and structural biology. His ongoing projects, such as the development of web servers for Alzheimer's disease detection and protein complex prediction, demonstrate his commitment to advancing scientific knowledge and practical applications. As he continues to explore new frontiers in research, Bioinformatics his contributions are expected to have a lasting impact on the scientific community, paving the way for future discoveries and technological advancements.

NOTABLE PUBLICATIONS