Ashis Kumer Biswas

Ashis Kumer Biswas is an Assistant Professor in the Department of Computer Science and Engineering at the University of Colorado Denver, where he directs the Machine Learning Laboratory (ML Lab). His academic career spans institutions in Bangladesh, Texas, and Colorado, with a strong focus on interdisciplinary research at the intersection of machine learning, deep learning, and bioinformatics applications.

Dr. Biswas earned his educational credentials from prestigious institutions:

• Ph.D. in Computer Science and Engineering from the University of Texas at Arlington (2016)
• M.S. in Computer Science and Engineering from University of Dhaka, Bangladesh (2009)
• B.S. in Computer Science and Engineering from University of Dhaka, Bangladesh (2008)

His research centers around machine learning and deep learning with applications in bioinformatics, responsible AI, and healthcare. Dr. Biswas pioneered the 'data-blind machine learning paradigm,' focusing on privacy-aware intelligent applications for analyzing sensitive data like patient health records without direct access. His work spans genomic data analysis, medical imaging, natural language understanding, educational technology, and cybersecurity. He actively investigates how to incorporate responsible AI principles into system designs, with particular attention to privacy preservation, bias mitigation, and ethical outcomes in machine learning models.

Analysis of his recent publications reveals a strong trend toward trustworthy AI systems, with significant focus on invertible neural networks for privacy preservation, bias-aware classification frameworks, and applications of machine learning to healthcare and education. His work consistently bridges theoretical machine learning advances with practical real-world applications.

Dr. Biswas has secured significant research funding from the National Science Foundation, Google, US Department of Education, and other organizations. His work has been recognized with a best paper award at the BIBE conference. He serves as a reviewer for prestigious journals including TCBB, Frontiers in Oncology, and Elsevier Methods.

As an educator, Dr. Biswas teaches graduate-level courses in machine learning, deep learning, reinforcement learning, and bioinformatics. He mentors a diverse group of students through the ML Lab, supervising undergraduate, MS, and PhD candidates working on collaborative research projects with community impact. His former students have secured positions at major technology companies including Amazon, Oracle, and research institutions.