PhD thesis, NTNU, Jun. Trung Hieu Nguyen, "Power Efficient Communication for Medical Wireless Sensor Networks", PhD thesis, NTNU, Apr. Hessam Moussavinik, "On Narrowband Interference Migitation Methods for Robust Wireless Sensor Networks" PhD thesis, NTNU, Mar. Description: This course introduces basic techniques and concepts in computer vision including image formation, grouping and fitting, geometric vision, recognition, perceptual organization, and the state-of-the art software blogger.comts learn fundamental algorithms and techniques, and gain experience in programming vision-based components; in particular, how to program in Human Area Network is a wireless network also referred to as RedTacton that uses the human body as a medium for high-speed transmission. It is different from other wireless and infrared technologies in the sense that it uses tiny electric field emitted on the surface of the human body. It is a very good topic under ece thesis topics list
Topics in Electronics and Communication for Project, Thesis, and Research
mohseni case. Effective as of June 1,the Electrical Engineering and Computer Science Department in the Case School of Engineering has been renamed to be the Department of Electrical, Computer, and Systems Engineering ECSE. The ECSE Department spans a spectrum of topics from i materials, devices, phd thesis on wireless mesh networks, and processors through ii control, signal processing, and systems analysis to iii human-machine interfaces, computation, phd thesis on wireless mesh networks, computer systems, embedded systems and networking.
Each degree program leads to the Bachelor of Science degree at the undergraduate level. ECSE is at the heart of modern technology. ECSE disciplines are responsible for the devices and microprocessors powering our computers and embedded into everyday devices, from cell phones and tablets to automobiles and airplanes.
The future of energy will be profoundly impacted by ECSE technologies, from smart appliances connected to the Internet, smart buildings that incorporate distributed sensing and control, to the envisioned smart grid that must be controlled, stabilized, and kept secure over an immense network.
ECSE drives job creation and starting salaries in our fields are consistently ranked at the top of all college majors. Our graduates work in cutting-edge companies--from giants to start-ups, in a variety of technology sectors, including computer and internet, healthcare and medical devices, manufacturing and automation, automotive and aerospace, defense, finance, energy, and consulting. The ECSE department is dedicated to developing high-quality graduates who will take positions of leadership as their careers advance.
We recognize that the increasing role of technology in virtually every facet of our society, life, and culture makes it vital that our students have access to progressive and cutting-edge higher education programs. The core values for all of the degree programs in the department are:. Stressing excellence in these core values helps to ensure that our graduates are valued and contributing members of our global society and that they will carry on the phd thesis on wireless mesh networks of engineering leadership established by our alumni.
Our goal is to graduate students who have fundamental technical knowledge of their profession and the requisite technical breadth and communications skills to become leaders in creating the new techniques and technologies which will advance their fields.
Because of the rapid pace of advancement in these fields, our degree programs emphasize a broad and foundational science and technology background that equips students for future developments. Marc Buchner, PhD Michigan State University Associate Professor Computer gaming and simulation, virtual reality, software-defined radio, wavelets, joint time-frequency analysis.
Cenk Cavusoglu, PhD University of California, Berkeley Nord Professor of Engineering Robotics, systems and control theory, and human-machine interfaces; with emphasis on medical robotics, haptics, virtual environments, phd thesis on wireless mesh networks, surgical simulation, and bio-system modeling and simulation. Vira Chankong, PhD Case Western Reserve University Associate Professor Large-scale optimization; logic-based optimization; multi-objective optimization; optimization applications in radiation therapy treatment planning, medical imaging, manufacturing and production systems, phd thesis on wireless mesh networks, and engineering design problems.
Michael Fu, PhD Case Western Reserve University Timothy E. and Allison L. Schroeder Assistant Professor Neuro-rehabilitation and motor-relearning, with emphasis on virtual environments, neuromuscular electrical stimulation, and haptic interfaces. Mario Garcia-Sanz, DrEng University of Navarra, Spain Professor Robust and nonlinear control, quantitative feedback theory, multivariable control, dynamic systems, systems modeling and identification; energy innovation, wind energy, spacecraft, electrical, mechanical, environmental and industrial applications.
Evren Gurkan-Cavusoglu, PhD Middle East Technical University Associate Professor Systems and control theory, systems biology, computational biology, biological system modeling, signal processing applied to biological systems, signal processing. Hossein Miri Lavasani, PhD The Georgia Institute of Technology Assistant Professor High performance integrated circuits and systems, Phd thesis on wireless mesh networks power interface circuits for MEMS and sensors.
Gregory S. Lee, PhD University of Washington Assistant Professor Haptic devices, including low-power design and effects on perception; applications to robotic surgery and telesurgery; secure teleoperation.
Pan Li, PhD University of Florida Associate Professor Networks, Cybersecurity, Big data, Cyber-physical systems, Bioinformatics.
Wei Lin, PhD Washington University in St. Louis Professor Nonlinear control, dynamic systems and homogeneous systems theory, H-infinity and robust control, adaptive control, system parameter estimation and fault detection, nonlinear control applications to under-actuated mechanical systems, biologically-inspired systems and systems biology.
Kenneth A. Loparo, PhD Case Phd thesis on wireless mesh networks Reserve University Arthur L. Parker Professor Stability and control of nonlinear and stochastic systems; fault detection, diagnosis, and prognosis; recent applications work in advanced control and failure detection of rotating machines, signal processing for the monitoring and diagnostics of physiological systems, phd thesis on wireless mesh networks, and modeling, analysis, and control of power and energy systems.
Wyatt S. Newman, PhD, PE Massachusetts Institute of Technology Professor Mechatronics, high-speed robot design, force- and vision-based machine control, artificial reflexes for autonomous machines, phd thesis on wireless mesh networks, rapid prototyping, agile manufacturing, mobile robotic platforms.
Christos Papachristou, PhD Johns Hopkins Phd thesis on wireless mesh networks Professor VLSI design and CAD, computer architecture and parallel processing, design automation, embedded system design. Daniel Saab, PhD University of Illinois at Urbana-Champaign Associate Professor Computer architecture, VLSI system design and test, CAD design automation.
Sree N. Sreenath, PhD University of Maryland Professor Systems biology complexity research modeling, structural issues, and simulation ; cell signaling, population behavior, and large-scale behavior; global issues and sustainable development.
Christian A. Zorman, PhD Case Western Reserve University F. Alex Nason Professor Materials and processing techniques for MEMS and NEMS, wide bandgap semiconductors, development of materials and fabrication techniques for polymer-based MEMS and bioMEMS. Vipin Chaudhary, PhD University of Texas at Austin Professor, Computer and Data Sciences. Dominique Durand, Ph. University of Toronto Professor, Biomedical Engineering. Anant Madabhushi, Ph.
University of Pennsylvania Professor, Biomedical Engineering. Roger D. Quinn, PhD Virginia Polytechnic Institute and State University Professor, Mechanical and Aerospace Engineering. Satya S. Peter Thomas, PhD University of Chicago Associate Professor, Mathematics, Applied Mathematics, and Statistics.
Dustin Tyler, PhD Case Western Reserve University Professor, Biomedical Engineering. Satish Viswanath, PhD Rutgers University Assistant Professor, Biomedical Engineering. Xiong Bill Yu, PhD, PE Purdue University Professor, Civil and Environmental Engineering. Mahdi Bayat, PhD University of Minnesota Research Assistant Professor Signal processing, biomedical imaging, machine learning. Farhad Kaffashi, PhD Case Western Reserve University Research Assistant Professor Signal processing of physiological time series data, systems and control.
Michael A. Suster, Ph. Case Western Phd thesis on wireless mesh networks University Research Assistant Professor Point-of-care diagnostic platforms, sensors, circuits, and microsystems. Hanieh Agharazi, PhD Case Western Reserve University Adjunct Assistant Professor. Michael S. Branicky, ScD, PE Massachusetts Institute of Technology Adjunct Professor.
Roberto Galan, PhD Humboldt Universität zu Berlin, Germany Adjunct Associate Professor. Suparerk Janjarasjitt, PhD Case Western Reserve University Adjunct Assistant Professor. David Kazdan, Ph. Case Western Reserve University Adjunct Assistant Professor. Soumyajit Mandal, Ph. Massachusetts Institute of Technology Adjunct Associate Professor. Amirhossein Sajadi, PhD Case Western Reserve University Adjunct Assistant Professor. Maximilian Scardelletti, PhD Phd thesis on wireless mesh networks Western Reserve University Adjunct Assistant Professor.
Nicole Seiberlich, PhD Universitaet Wuerzburg, Wuerzburg Adjunct Associate Professor. Francis G. Wolff, Ph. Case Western Reserve University Adjunct Associate Professor. Sheldon Gruber, PhD Emeritus Professor Electrical Engineering and Applied Physics, phd thesis on wireless mesh networks. Francis "Frank" L. Merat, PhD, PE Case Western Reserve University Emeritus Professor Computer and robot vision, digital image processing, sensors, titanium capacitors and power electronics; RF and wireless systems; optical sensors; engineering education.
These programs provide students with a strong background in the fundamentals of mathematics, science, and engineering. In addition to an excellent technical education, all students in the department are exposed to societal issues, ethics, professionalism, and have the opportunity to develop leadership and creativity skills. The Bachelor of Science in Engineering degree program with a major in Electrical Engineering provides our students with a broad foundation in electrical engineering through combined classroom and laboratory work which prepares our students for entering the profession of electrical engineering, as well as for further study at the graduate level.
The educational mission of the electrical engineering program is to graduate students who have fundamental technical knowledge of their profession and the requisite technical breadth and communications skills to become leaders in creating the new techniques and technologies that will advance the general field of electrical engineering. As preparation for achieving the above educational objectives, the Bachelor of Science in Engineering degree program with a major in Electrical Engineering is designed so that students attain:.
Core courses provide our students with a strong background in signals and systems, computers, electronics both analog and digitaland semiconductor devices. Students are required to develop depth in at least one of the following technical areas: signals and systems, solid state, computer hardware, computer software, control, circuits, robotics, and biomedical applications.
Each electrical engineering student must complete the following requirements:. In addition to engineering general education requirements and university general education requirementsthe major requires the following courses:. Each student must complete eighteen 18 credit hours of approved technical electives.
Technical electives not used to satisfy the depth requirement are more generally defined as any course related to the principles and practice of electrical engineering. This includes all ECSE courses at the level and above and can include courses from other programs. Each student must show a depth of competence in one technical area by taking at least three courses from one of the following areas. This depth requirement may be met using a combination of the above core courses and a selection of open and technical electives.
Alternative depth areas may be considered by petition to the program faculty. STAT Uncertainty in Engineering and Science may be substituted with approval of advisor. In consultation with a faculty advisor, a student completes the program by selecting technical and open elective courses that provide in-depth training in one or more of a spectrum of specialties, phd thesis on wireless mesh networks, such as, control, signal processing, electronics, integrated circuit design and fabrication, and robotics.
With the approval of the advisor, phd thesis on wireless mesh networks, a student may emphasize other specialties by selecting elective courses from other programs or departments.
Additionally, math and statistics classes are highly recommended as an integral part of the student's technical electives to prepare for work in industry and government and for graduate school. Students have ready access to the teaching laboratory facilities and are encouraged to use them during non-scheduled hours in addition to the regularly scheduled laboratory sessions.
Opportunities also exist for undergraduate student participation in the wide spectrum of research projects being conducted in the department. The following is a suggested program of study. Current students should always consult their advisors and their individual graduation requirement plans as tracked in SIS.
Cross Layer IDS Wireless Mesh Network Projects - Cross Layer IDS Wireless Mesh Network Thesis
, time: 2:36ONLINE NETWORK SIMULATOR - NS2 Project
Description: This course introduces basic techniques and concepts in computer vision including image formation, grouping and fitting, geometric vision, recognition, perceptual organization, and the state-of-the art software blogger.comts learn fundamental algorithms and techniques, and gain experience in programming vision-based components; in particular, how to program in PhD thesis, NTNU, Jun. Trung Hieu Nguyen, "Power Efficient Communication for Medical Wireless Sensor Networks", PhD thesis, NTNU, Apr. Hessam Moussavinik, "On Narrowband Interference Migitation Methods for Robust Wireless Sensor Networks" PhD thesis, NTNU, Mar. Thesis Topics on Renewable Energy PhD Thesis Topics on Renewable Energy provides high end projects for research scholars and final year students. Sustainable and renewable energy is a popular and new study field that focuses on finding alternative energy sources
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