Keka C. Biswas, Ph.D.

Lecturer, Biological Sciences

Contact

301 Sparkman Drive
Shelby Center
Room 302G
Huntsville, AL 35899
Campus Map

kcb0015@uah.edu

Biography

Dr Keka C. Biswas earned her Bachelor of Science, B.Sc. in Microbiology and bachelor’s in teaching, B. Ed in Biology from University of Nagpur, India. Subsequently, she did a Master of Science, M.Sc.  in Zoology from University of Nagpur, India. Moving further along she received a Ph. D in Biology from the University of New Mexico, Albuquerque, NM. Thereafter, she was a postdoctoral research associate at the Department of Biochemistry at the University of Colorado- Boulder. She has always been interested in studying biological sciences from the perspective of medical science, biochemistry, immunology and human anatomy and physiology. She enjoys teaching and takes immense pride in teaching and mentoring students. She is a broadly trained biologist, a teacher and an educator who has an interest in studying the behavior of cancerous cells in humans. Her current research examines human cancerous cells in a collaborative approach with biologists, mathematicians, and statisticians in the field of mathematical biology. Her teaching philosophy is centered around knowledge transference. “Diversity has always been an integral part of molding me as a teacher. I believe teaching is intricately linked to learning.”

Curriculum Vitae

Education

  • Ph.D, Biology, University of New Mexico, NM, Albuquerque, USA, 1998
  • M.Sc, Zoology, University of Nagpur, India 1989
  • B.Ed, Chemistry and Biology, University of Nagpur, India, 1991
  • B.Sc, Microbiology, University of Nagpur, India, 1987

Recent Publications

  • 2025 Breast Lesion Detection Using Weakly Dependent Customized Features and
    Machine Learning Models with Explainable Artificial Intelligence.
    Simona Moldovanu, Dan Munteanu, Keka C. Biswas and Luminita Moraru. J. Imaging
    2025, 11(5), 135; https://doi.org/10.3390/jimaging11050135

  • 2024 Role of inter- and extra-lesion tissue, transfer learning, and fine-tuning in the
    robust classification of breast lesions.
    Iulia-Nela Anghelache Nastase, Simona Moldovanu, Keka C. Biswas & Luminita
    Moraru. Scientific Reports volume 14, 22754 
    https://www.nature.com/articles/s41598-
    024-74316-5

  • 2023 “Refining skin Lesions classification performance using geometric features of
    super pixels”.
    Moldovanu S, Miron M, Rusu C-G, Biswas KC, Moraru L. Scientific Reports 13:11463.
    https://www.nature.com/articles/s41598-023-38706-5

  • 2021 Skin Lesion Classification Based on Surface Fractal Dimensions and Statistical
    Color Cluster Features Using an Ensemble of Machine Learning Techniques.Simona
    Moldovanu, Felicia Anisoara, Damian Michis, Keka C. Biswas, Anisia Culea-Flores and
    Luminita Moraru. Cancers 2021, 13. https://www.mdpi.com/2072-6694/13/21/5256

  • 2021 Towards accurate diagnosis of skin lesions using feedforward back propagation
    neural networks. Moldovanu, S.; Cristian-Dragos, O.; Biswas-Choudhury, K; Moraru, L.
    Diagnostics. 2021, 11(6), 936.