An Introduction to Machine Learning
- Supplies frequent opportunities to practice techniques at the end of each chapter with control questions, exercises, thought experiments, and computer assignments
- Reinforces principles using well-selected toy domains and interesting real-world applications
- Supplementary material will be provided including an instructor's manual with PowerPoint slides
This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of "boosting," how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. For more information please contact Dr. Kubat
Dr. Jie Xu obtained his PhD degree in Electrical Engineering from University of California, Los Angeles (UCLA) in 2015. Prior to attending UCLA, he received his BS and MS degrees in Electronic Engineering from Tsinghua University in China in 2008 and 2010, respectively. In 2014, he was with IBM T. J. Watson Research Center where he interned in the Clinical Stream Analytics team during the summer. Dr. Xu's research spans the area of machine learning, data mining and game theory. His interests lie in both developing the theory in these areas and applying it in real-world engineering systems, such as communication networks, cyber-security systems, online social platforms and healthcare informatics. He has authored or coauthored over 30 research papers on these topics in top journals and conferences. Dr. Xu is a recipient of UCLA University Fellowship, Dissertation Year Fellowship and Distinguished PhD Dissertation Award in Signals & Systems. He also received the Best Paper Award of APCC'09.
The proposed research focuses on an efficient plasmon energy conversion for the detection beyond the semiconductor energy bandgap. The objective of the proposed research is to develop an integrated plasmonic field effect device that enables ultra wide spectral response from visible to infrared wavelengths. The aims of the proposed research are: 1) Design and fabrication of a plasmon FET device using a silicon-on-insulator substrate, and 2) fundamental study on operation speed, design parameters, detection limit and underlying physics on the proposed quantum tunneling mechanism. The proposed research can be dramatic implications for the realization of the plasmonic bridge device that can be integrated with conventional electronics on the same substrate.
Dr. Kamal Premaratne was the Johnson A. Edosomwan Researcher of the Year Award recipient during the annual College of Engineering Recognition Dinner on Saturday, December 5, 2014. This award recognizes a full-time faculty member's research productivity during the prior fiscal year and evidence of prior history and future potential for research productivity.
Dr. Onur Tigli was the 2014 Eliahu I. Jury Early Career Research Award recipient during the annual College of Engineering Recognition Dinner on Saturday, December 5, 2014. This award is given to recognize outstanding research and scholarship for a pre-tenured faculty member. Dr. Tigli received this award for obtaining major research grants, including an NSF CAREER award for research in microchip technologies for cancer diagnostics and therapeutics.
Prof. Mei-Ling Shyu, together with her Ph.D. and undergraduate students, Mr. Yilin Yan and Mr. Yang Liu, and her collaborator. Dr. Min Chen, received the "Best Paper Award" from the 15th IEEE International Conference on Information Integration and Reuse (IEEE IRI 2014) in August 2014.
Dr. Onur Tigli, Assistant Professor of Electrical and Computer Engineering at University of Miami, has received the prestigious CAREER Award from the National Science Foundation (NSF) for his proposal "CAREER: Acoustics Lab on a Chip for Comprehensive Biophysical Studies of Tumor Cells: Towards Personalized Cancer Diagnosis and Therapeutics". This research will explore the development of a lab-on-a-chip platform that will integrate novel electronic, acoustic, and magnetic components for comprehensive biophysical studies through cell interrogation. Novel microchip technologies along with new cellular level diagnostic and therapeutic modalities in cancer are expected to be revealed. NSF CAREER award is National Science Foundation's most prestigious award in support of junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the context of the mission of their organizations.
Dr. Tigli is recognized for his patented research on CMOS-SAW biosensors for early diagnosis of cancer. His primary research is in the fields of MEMS/NEMS and biomedical nanotechnology to develop smart point-of-care diagnostic tools for clinical applications. This work involves the use of micro/nano fabrication methods, microfluidics, micro/nano sensor and actuator development, and their respective applications in clinical medicine, neuroscience, genomics, proteomics, and cell and tissue engineering. Dr. Tigli is a faculty member of Dr. John T. MacDonald Foundation Biomedical Nanotechnology Institute of University of Miami (BioNIUM) and holds a secondary appointment in the Department of Pathology, Miller School of Medicine.
Game theory is a solid analytical framework that has become a prevalent tool for studying the decision making processes of a number of interdependent players, such as firms, individual players, or more recently, communication devices. For more than half a century, game theory has led to revolutionary changes in economics, and it has found a number of important applications in politics, sociology, psychology, control, computing, and transportation, to list only a few. During the past decade, there has been a surge in research activities that employ game theory to model and analyze modern communication systems. This is mainly due to: (1) the emergence of the Internet as a global platform for computation and communication, which has sparked the development of large scale, distributed, and heterogeneous communication systems; (2) the deregulation of the telecommunication industry, and the dramatic improvement in computation power, which has made it possible for various network entities to make independent and selfish decisions; (3) the need for robust designs against uncertainties, e.g., in security situations that can sometimes be modeled as games of users with a malicious nature. The goal of this course is to introduce the basics of game theory in its two branches: noncooperative and cooperative games, as they apply to the design of future engineering systems. For each game type the course will present the fundamental components, introduce the key solution concepts, and describe the challenges and methods for applying these games in a variety of emerging fields in communication networks, such as cellular systems, cognitive radio networks, network security, and related areas.
This course will be conducted in a seminar style (lectures accompanied by weekly scientific discussion on cutting edge Nanotechnology topics). There will be one in-class midterm exam and one final project presentation. There will be a term papers. Student will be required to complete as groups of two. Paper will involve a theoretical study of a nanotechnology application. Training on state-of-the-art FEM modeling
tools for design and simulation will be provided. Term Paper: 40%, Homework: 15%, Midterm: 25%, Participation: 20%. For more information please see course flyer
Dr. Wang receives 2015 Provost’s Research Award on his research on Band and Resolution Tunable Real-Time Spectral Imaging for Glaucoma Study.
This project will study fast spectral imaging with spectral band and spectral resolution tuning capabilities. Dual scan will facilitate reduced image aberration while achieving fast spectral scan. The spectral imaging will benefit early detection of glaucoma through finding spectral changes on retinal nerve fiber layer.
Dr. Onur Tigli is the recipient of The Provost Research Award for FY2016. The Provost's Research Awards (PRAs) are designed to foster excellence in research, scholarship and creative activities at the University of Miami. As stated in the award letter: This award reflects the high opinion of the faculty peers concerning the quality of Dr. Tigli's research in Micron Scale Energy Harvesters for Self Sustained Systems.
ACM (Association for Computing Machinery) is the world's largest
educational and scientific computing society. ACM's Distinguished
Member Grade recognizes those ACM members with at least 15 years of
professional experience and 5 years of continuous professional
membership who have achieved significant accomplishments or have
made a significant impact on the computing field. Read the press release.
This award is presented each year to a faculty member of the College of Engineering. As part of the selection process, a voting ballot was prepared which included the names of 5 teaching faculty excluding those who won the award within the prior 5 years. The 5 faculty names included on the ballot were chosen from those who obtained the highest student evaluations with faculty representations from each of the 5 departments in the college. The ballot with the top 5 faculty names were then sent for voting to those CoE alumni who graduated within the past 10 years.
The Alexander Orr Excellence in Teaching Award was established through an endowment within the College in honor of Alexander Orr, Jr., a prominent South Floridian.
Professor Xiaodong Cai (PI) received a National Institute of Health RO1 grant of more than $1.8 million along with Professor Gennaro Dâ€™urso (Co-PI) in the Miller School of Medicine at the University of Miami and Professors Chad Myers(Co-PI) and Georgios Giannakis (Co-PI) at the University of Minnesota, Twin Cities. The project title is â€śSparse Structural Equation Models for Gene Network and Chemical Genomicsâ€ť. Successful completion of the project will have a broad impact on the fields of statistical learning, systems biology, and medicine, as it will advance high-dimensional modeling and statistical inference to a new frontier, help to understand the role of genes and their interactions in various diseases, and enable the construction of more comprehensive small molecule libraries with well-defined molecular targets for use in new therapeutics.
Prof. Mei-Ling Shyu and her Ph.D. student, Mr. Tao Meng, received the
"Best Paper Award" from the 13th IEEE International Conference on
Information Integration and Reuse (IEEE IRI2012) in August 2012.
Prof. Mei-Ling Shyu receives the 2012 Technical Achievement Award from
the IEEE Computer Society for her pioneering contributions to multimedia
data mining, management and retrieval.
The IEEE Computer Society Technical Achievement Award honors outstanding
and innovative contributions to computer and information science and
engineering or computer technology, usually within the past 10 years,
and not more than fifteen years.Watch the video
Out of over 90 schools in the region, a University of Miami team composed of Alan Goldman (Computer Engineer and Physics), Andy Mok (Electrical Engineer and Mathematics), and Frank Rodriguez (Computer Engineer and Computer Science) represented the University of Miami in the Software Competition. The team was given a series of mathematical and algorithm oriented problems and 4 hours to solve as many as possible. After the dust settled, the University of Miami team was ranked 3rd overall, edging out the 4th place University of Kentucky in a close tiebreaker.
Prof. Negahdaripour has been named a fellow of the Institute of Electrical & Electronics Engineers (IEEE) "for contributions to
underwater computer vision," effective Jan. 1, 2012.
The IEEE Grade of Fellow - one of the institute's most prestigious awards - is conferred by the IEEE board of directors upon
a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number of fellows
selected in any one year cannot exceed one-tenth of one percent of IEEE's total voting Institute membership. IEEE Fellow is
the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career
Prof. Abdel-Mottaleb named IEEE Fellow
Prof. Abdel-Mottaleb, chair of the ECE department, has been named a fellow of the
Institute of Electrical & Electronics Engineers (IEEE) "for contributions to
biometrics, content-based image and video retrieval, and digital mammography,"
effective Jan. 1, 2011.
The IEEE Grade of Fellow - one of the institute's most prestigious awards - is
conferred by the IEEE board of directors upon a person with an outstanding record of
accomplishments in any of the IEEE fields of interest. The total number of fellows
selected in any one year cannot exceed one-tenth of one percent of IEEE's total
voting Institute membership. IEEE Fellow is the highest grade of membership and is
recognized by the technical community as a prestigious honor and an important career