Faculty and Staff Profiles

MOHAMMED YEASIN
Assoc Professor, Electrical Computer Engineering
Email: myeasin@memphis.edu
Office Location: 204 B Engineering Science Bldg.
Office Hours:
Personal Homepage: http://cvpia.memphis.edu/myeasin
Profile

Dr. Yeasin is an Associate Professor of the department of Electrical and Computer Engineering, adjunct faculty member of Biomedical Engineering and Bioinformatics Program, and an affiliated member of the Institute for Intelligent Systems (IIS) at The University of Memphis. He is a senior member of IEEE and received his B.Sc. degree in Electrical and Electronic Engineering from Khulna University of Engineering and Technology (Erstwhile, Bangladesh Institute of Technology, Khulna), Bangladesh in 1989, M.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET), Bangladesh in 1994 and the Ph.D. degree in Electrical Engineering from Indian Institute of Technology (IIT), Bombay, India in 1998.

Dr. Yeasin made significant contributions in the research and development of real-time computer vision solutions for academic research and commercial applications. He has been involved with several technological innovations, including classifying gender, age group, ethnicity and emotion, face detection, recognition of human activities in video, and speech-gesture enabled sophisticated natural human-computer interfaces. Some of his research on facial image analysis and hand gesture recognition is used in developing several commercial products by the Videomining Inc. He introduced the idea of co-analysis of signal and sense using prosodic relationship between verbal and non-verbal modalities, sophisticated method of mining the multimodal feature space for the analysis and application of multimodal co-articulation. The co-analyses of multimodal articulations will help to obtain a deeper understanding of (a) how the nucleus of an utterance and a visual prosody interact to render the semantic meaning of the utterance and (b) how the synchronization with other modalities affects the production of multimodal co-articulation. These discoveries will facilitate the design and development of a perceptual interface for Meta-Tutor. This will also enable the development of collaborative environments for agent- human communication, and assistive technologies for the elderly and disabled.

Dr. Yeasin leads the Computer Vision, Perception and Image Analysis (CVPIA) laboratory. Main thrust of research in the CVPIA lab is in the general areas of computer vision, data mining, bio-informatics/computational biology, pattern recognition and human computer interfaces (HCI). The common underlying theme is (i) semantic integration and mining of large heterogeneous data, (ii) robust analysis and modeling of all possible types of signals (text, speech, images, video, time series and gene expressions etc.), and (iii) use service oriented architecture in providing services, and sharing databases and results. Major topics of research include (but are not limited to):

(i)            Co-analysis of signal and sense and the interplay between the complementary modalities and the prosodic manifestations of their synchronization to develop novel algorithms for the recognition of gestures, facial expressions, emotions, dialog acts (DAs), behavior-based biometrics, and their applications in developing Meta-Tutor agents.

(ii)           Co-design and Integration of hardware and software for perceptual human-machine interfaces and mobility assistance for people who are blind or visually impaired. Towards this end a Reconfigured Mobile Android Phone (R-MAP) was developed to provide reading out-loud service to the visually impaired.

(iii)          Developing efficient and scalable algorithms for distributed data and graph mining, and their application to knowledge discovery from heterogeneous data. Also of interest, is to develop service oriented architecture to provide Web services in emerging areas like epigenetic and genome wide study.

(iv)         Sensor networks for monitoring large areas such as trails of drug smugglers.

(v)          Image analysis and computer vision solutions for biomedical applications (medical informatics and modeling and evaluation of surgical skill) and robust analysis of human motion for creating articulated models of human body parts.

(vi)         Music therapy! Just like to do scale-space analysis of brain signals as a hobby.

For more information please contact

Mohammed Yeasin, Ph.D.
Associate Professor, Dept. of EECE

Ring Professor for Engineering


Email: myeasin@memphis.edu
Phone: 901 678 4078
URL: cvpia.memphis.edu/myeasin




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