Dimitris Manolakis elected a Fellow of the IEEE

Photo of Dimitris ManolakisDr. Dimitris G. Manolakis, a senior staff member in the Applied Space Systems Group at MIT Lincoln Laboratory, has been named a 2016 Fellow of the IEEE for his "contributions to signal processing education, algorithms for adaptive filtering, and hyperspectral imaging." Dr. Manolakis, who joined Lincoln Laboratory in 1999, has combined an extensive research career with a commitment to education.

"I am deeply honored by this recognition of my educational and technical work, and I want to thank MIT Lincoln Laboratory for providing an environment that encourages and supports such activities," said Dr. Manolakis on learning of his elevation to Fellow.

At Lincoln Laboratory, Dr. Manolakis' work has included the exploration and development of techniques in digital signal processing, adaptive filtering, array processing, pattern recognition, and remote sensing. His recent research has focused on algorithms for hyperspectral target detection and modeling of spatio-temporal count data from down-looking sensors.

"Dimitris' groundbreaking work developing algorithms to extract information from hyperspectral data has been instrumental to ‎numerous Lincoln Laboratory programs," said Dr. Grant Stokes, head of Lincoln Laboratory's Space Systems and Technology Division. "Dimitris continues to be very active in the academic research community and attracts excellent staff members to the Laboratory through his academic collaborations."

Throughout his career, Dr. Manolakis has been involved in educating future engineers. He has taught undergraduate and graduate courses at the University of Athens, at which he earned a bachelor's degree in physics and a doctorate in electrical engineering; Northeastern University, at which he is an adjunct professor; Boston College; and Worcester Polytechnic Institute. In addition, through an in-house technical education program, he conducts courses in digital and statistical signal processing and adaptive filtering to explain fundamental principles and concepts to Lincoln Laboratory staff members embarking on research in these areas. In 2013, Dr. Manolakis was recognized with an IEEE Signal Processing Society Education Award for his dedication to advancing education through the development of curriculum materials, publication of scholarly texts, and teaching.

Dr. Manolakis is a prolific writer. He has authored or coauthored more than 135 articles on topics ranging from digital signal processing to hyperspectral remote sensing of chemical plumes to hyperspectral image processing for automatic target detection; these articles have been cited in almost 5000 scientific publications. In addition, he has coauthored three textbooks that are widely used in academia: Digital Signal Processing: Principles, Algorithms, and Applications (Prentice Hall, 2006, 4th ed.), which has been translated into six languages and cited 41,000 times; Statistical and Adaptive Signal Processing (Artech House, 2005); and Applied Digital Signal Processing (Cambridge University Press, 2011).

The IEEE, which is the world's leading professional association for the advancement of technology, confers Fellow status to recognize individuals' exceptional distinction in their professions. Fellows are elected on the basis of accomplishments that "contributed importantly to the advancement or application of engineering, science, and technology, bringing the realization of significant value to society."

Posted December 2015

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