Profile
Dr. Yeasin is a Professor and a Data Scientist. He is the recipient of National Science Foundation (NSF) Career Grant, Senior Member of the IEEE and Associate Editor of two peer reviewed Journals (BMC Bioinformatics and PRML). Collaborating with all stakeholders, I develop innovative solutions in assistive technology, biomedicine, cognitive engineering, and HCI. I specialize in designing systems using interpretable machine learning.
For my work in understanding non-verbal communications and their applications, I received the National Science Foundation’s Faculty Early Career Award, given to less than 1% of applicants. I collaborated with 40+ people and invented the co-analysis of signals & sense for robust modeling non-verbal communications.
I consider it my life goal to develop affordable technology solutions for people who are blind or visually impaired. I founded and led the Blind Ambition project, working with all stakeholders, we have created solutions that cost under $50. I prioritized working with users to understand their needs and create assistive technology solutions that require minimal cognitive effort.
Some of my successful works:
1. Mentored 30+ Ph.D and MS students to be future leaders in their field of specialization.
2. Invented the co-analysis of signals & sense for robust modeling non-verbal communications and used them to develop a suite of affordable assistive solutions to empower people the blind and visually impaired. Solutions include VASS, Expression+, O-MAP, Emo-Assist and R-MAP.
3. Invented a novel data structure and multivariate methods to create network descriptions of cognitive events such as categorical perception, epileptic seizures, predicting risky behavior.
4. Created ARIANA to bridge the biomedical knowledge gap by scanning the medical literature to discover latent connections between disease, drug and risk factors.
5. Chief architect of face detector and consumer demographics, products for the retail industry.
I am passionate about developing innovative and cost optimized technology solutions.
Specialties: Big Data Analytics • Machine Learning • Bayesian Networks • • Clustering • Deep learning Libraries • Generative Adversarial Networks • Product Development • Project Management • Partnership Development • Multimodal Signal Analysis • Multicultural Experience.
Service
- International Science Publisher - Associate Editor, Pattern Recognition and Machine Intelligence - Since March 2006
- IEEE - Transactions on Pattern Analysis and Machine Intelligence (PAMI) - Reviewer of refereed journal - 2002-2005
- IEEE - Transactions on Circuits and Systems for Video Technology (CSVT) - Reviewer of refereed journal - 2002-2005
- Machine Vision and Applications - Guest Editor: Special issue on Modeling, Analysis, and Synthesis of Human Motion - 2002
- IEEE - Transactions on System man and cybernetics (IEEE SMC Part B) - Reviewer of refereed journal - 2002-2006
- Reviewer of refereed journal - Computer Vision and Image Understanding (CVIU) - 2004
- Reviewer of refereed journal - Journal of Pattern Recognition - 2003
- Reviewer of refereed journal - International Journal of Modeling and Simulation - 2004
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