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Edinburgh Napier University

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How did I get here?

Meet our Masters students

Martina Birotti

Robert Halkett

Vanessa Taaffe

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Ricky Callaghan

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Information for current ENU students who are considering postgraduate study with us.

Our alumni get 20% off their Masters tuition fees for year one of a full-time course to help you build the future you want.

Contact our advisers on 0333 900 6040 or use our online enquiry form.

ENU PhD Student in Neuroscience awarded

Dr. Paola Alberti, member of the ENU group and student at the 3rd year of the PhD program in Neuroscience, has been awarded for the best oral presentation at the 8th annual meeting of the Association for the Study of the Peripheral Nervous System that was helded in Rome on April 14-19, 2018.

She will publish a divulgative paper on the association’s website  www.neuropatia.it  describing her work.

Ultimo aggiornamento 12/Ott/2020 alle 17:34

Experimental Neurology Unit - School of Medicine and Surgery - University of Milano Bicocca © 2014

Reserved Area - Credits

University of Florida

Nuclear and Radiological Engineering

EGN 6913 Engineering Graduate Research 0-3 Credits, Max 12 Credits

Grading Scheme: S/U

Course will provide the student with supervised research in a laboratory setting.

Catalog Program Pages Referencing EGN 6913

ENU 5005 Introduction to Nuclear Engineering 4 Credits

Grading Scheme: Letter Grade

Students will learn Atomic and Nuclear Physics, Interaction of Radiation with Matter, Detecting Nuclear Radiations, Neutron Diffusion and Moderation, Nuclear Reactor Theory, Time Dependent Reactor, and Two-Phase Flow and Heat Transfer at a level appropriate to begin graduate-level coursework in nuclear engineering sciences.

Prerequisite: NES_PHD or NES_MS.

Catalog Program Pages Referencing ENU 5005

ENU 5142 Reliability and Risk Analysis for Nuclear Facilities 3 Credits

Nuclear facilities' safety systems including reliability and probabilistic risk assessment.

Prerequisite: STA 3032 or ENU 5005 or ( ENU 4104 & ENU 4134 ).

Catalog Program Pages Referencing ENU 5142

ENU 5176L Principles of Nuclear Reactor Operations Laboratory 1 Credit

Principles of reactor operations applied to startup, operation, and control of the training reactor to include performing reactor physics measurements and instrumentation and control calibrations.

Prerequisite: ENU 4144 or equivalent and consent of instructor.

ENU 5186 Nuclear Fuel Cycles 3 Credits

Fuel cycle from uranium mining through waste management. Reactor fuel cycle including economics and advanced fuel management. Nodal code evaluation of criticality, power peaking and power sharing through operating cycle, use of burnable poisons and reshuffle and reload for uranium and plutonium cycles.

Prerequisite: ENU 4104 .

Catalog Program Pages Referencing ENU 5186

ENU 5516L Nuclear Engineering Laboratory II 2 Credits

Laboratory practice in neutron and gamma detection and analysis. Determination of basic neutron parameters in nonmultiplying and multiplying media.

Prerequisite: ENU 4612L or ENU 5615L and 4104 or ENU 6106 .

ENU 5615C Nuclear Radiation Detection and Instrumentation 4 Credits

Interaction of radiation with matter, radiation-detection systems, pulse shaping, amplification, amplitude and time-analyzing circuitry; counting and measuring devices and control systems for nuclear reactors.

Prerequisite: ENU 3003 and EEL 3303L or equivalent. ;

Corequisite: ENU 6051 ; or prereq of ENU 4605 or equivalent.

ENU 6051 Radiation Interaction Basics and Applications I 3 Credits

Interaction of X-rays, gamma rays, neutrons, and charged particles with matter; radioactive decay, nuclear moments, and nuclear transitions. Application to basic problems in nuclear engineering sciences.

Catalog Program Pages Referencing ENU 6051

ENU 6106 Nuclear Reactor Analysis I 3 Credits

Nuclear criticality, neutron transport equation, multigroup neutron diffusion theory, and perturbation theory. Reactor kinetics: point model, reactivity feedback, and space-time models.

Prerequisite: ENU 6051 .

Catalog Program Pages Referencing ENU 6106

ENU 6126 Fundamentals of Reactor Kinetics 3 Credits

Nuclear reactor kinetics, including mathematics, transport and diffusion considerations, steady state and time dependent reactor physics, delayed neutron properties, photoneutrons, and neutron reactions, approximations and solutions to the kinetics equations, numerical solution methods using explicit, implicit, integral, marching, and finite difference solution methods.

Prerequisite: ENU 4001 , ENU 4605 , ENU 4103 .

Catalog Program Pages Referencing ENU 6126

ENU 6135 Nuclear Thermal Hydraulics 4 Credits

Treatment of nuclear thermal sciences: thermodynamics, fluid mechanics, heat transfer, two-phase flow, boiling; sub-channel thermal hydraulics, steam generator design, balance of plant analysis.

Prerequisite: EML 4140 and ( ENU 4133 or EGN 3353C )

Catalog Program Pages Referencing ENU 6135

ENU 6136 Advanced Nuclear Thermal Hydraulics 3 Credits

Topics in advanced nuclear thermal hydraulics, fluid mechanics, and heat transfer including areas of ongoing research and applications to current and future nuclear fission reactors.

Prerequisite: ENU 4134 or EGM 6812  or EML 6155  or ENU 6135

Catalog Program Pages Referencing ENU 6136

ENU 6143 Advanced Nuclear Reactor Concepts 3 Credits

Covers modern concepts for nuclear fission reactor systems, including advanced light-water reactors, gas-cooled reactors, and liquid-metal reactors. Topics covered for each type of reactor system will include thermal modeling, reactor safety, licensing, reactor physics, materials selection, and fuel cycles.

Prerequisite: ( ENU 4134 or ENU 6135 ) & ( ENU 4103 or ENU 6106 ).

Catalog Program Pages Referencing ENU 6143

ENU 6305 Radiochemistry 3 Credits

Fundamental behavior of radionuclides, use and application of radioanalytical techniques, and applications to nuclear fuel cycle.

Prerequisite: A course or two course sequence in introductory undergraduate chemistry, such as CHM 2045 /2046 or CHM 2095 /2096.

Catalog Program Pages Referencing ENU 6305

ENU 6375 Nuclear Security Science 3 Credits

The nuclear fuel cycle from the perspective of nuclear forensics, security, nonproliferation, and safeguards and in the context of international nuclear policies. Nuclear threats are balanced with the past history of nuclear weapons use, current nonproliferation technology, and the growth of the international nuclear industry. Signatures including radiological and morphological characteristics of nuclear material is introduced as well as the techniques for the detection of special nuclear mater.

Catalog Program Pages Referencing ENU 6375

ENU 6616C Advanced Radiation Measurement Laboratory 3 Credits

Advanced radiation detection methods and applications in the fields of nuclear safeguards, dosimetry, and nuclear medicine. Coverage of radiological non destructive assay methods for materials control and accountability. Hands-on experience on state-of-the-art radiation detection instrumentation.

ENU 6715 Plasma and Fusion 3 Credits

Introduction to the concepts underlying plasma confinement in fusion devices.

Prerequisite: PHY 2049 .

Catalog Program Pages Referencing ENU 6715

ENU 6835 Nuclear Fuels 3 Credits

Survey of the nuclear fuels from ore to waste, including mining, pin design, fabrication, in-core performance, storage, disposal and fuel economics.

Catalog Program Pages Referencing ENU 6835

ENU 6845L Nuclear Fuels and Materials Laboratory 3 Credits

Design of irradiation experiments and post-irradiation examinations (PIE) needed to understand the behavior of nuclear fuels and materials. Hands-on experience on state-of-the-art characterization instrumentation, sample preparation and handling, and safe radiological work practices.

Prerequisite: ENU 6805 or ENU 4800 .

ENU 6905 Individual Work 1-6 Credits, Max 12 Credits

Supervised study or research in areas not covered by other graduate courses.

Catalog Program Pages Referencing ENU 6905

ENU 6910 Supervised Research 1-5 Credits, Max 5 Credits

Supervised Research

Catalog Program Pages Referencing ENU 6910

ENU 6935 Nuclear and Radiological Engineering Seminar 1 Credit, Max 3 Credits

Discussion of research, current trends in the nuclear related industry, government, and research establishments.

Catalog Program Pages Referencing ENU 6935

ENU 6936 Special Projects in Nuclear and Radiological Engineering Sciences 1-9 Credits, Max 12 Credits

Nonthesis research projects.

Catalog Program Pages Referencing ENU 6936

ENU 6937 Special Topics in Nuclear and Radiological Engineering Sciences 1-9 Credits, Max 12 Credits

Special Topics in Nuclear and Radiological Engineering Sciences

Catalog Program Pages Referencing ENU 6937

ENU 6940 Supervised Teaching 2 Credits, Max 5 Credits

This is a practicum course to provide students with supervised teaching experience on developing effective instructional methods and materials in engineering education as well as effective mentoring skills in a professional setting.

Prerequisite: NES_PHD.

Corequisite: EGS 6056 .

Catalog Program Pages Referencing ENU 6940

ENU 6941 Professional Development for Nuclear Engineering Sciences 1 Credit

Students will learn strategies and sound practices in proposal research, creation, and defense.

Catalog Program Pages Referencing ENU 6941

ENU 6971 Research for Master's Thesis 1-15 Credits

Research for Master's Thesis

Catalog Program Pages Referencing ENU 6971

ENU 6972 Research for Engineer's Thesis 1-15 Credits

Research for Engineer's Thesis

Catalog Program Pages Referencing ENU 6972

ENU 7979 Advanced Research 1-12 Credits

Research for doctoral students before admission to candidacy. Designed for students with a master's degree in the field of study or for students who have been accepted for a doctoral program. Not appropriate for students who have been admitted to candidacy.

Catalog Program Pages Referencing ENU 7979

ENU 7980 Research for Doctoral Dissertation 1-15 Credits

Research for Doctoral Dissertation

Catalog Program Pages Referencing ENU 7980

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Anu Jagannath PhD Dissertation Defense

April 4, 2024 @ 1:00 pm - 2:00 pm.

Announcing: PhD Dissertation Defense

Name: Anu Jagannath

Title: Deep Learning at the Edge for Future G Networks: RF Signal Intelligence for Comprehensive Spectrum Awareness

Date: 4/4/2024

Time: 1:00:00 PM

Committee Members: Prof. Tommaso Melodia (Advisor) Prof. Kaushik Chowdhury Prof. Yanzhi Wang

Abstract: Future communication networks must address the scarce spectrum to accommodate extensive growth of heterogeneous wireless devices. Efforts are underway to address spectrum coexistence, enhance spectrum awareness, and bolster authentication schemes. Wireless signal recognition is becoming increasingly more significant for spectrum monitoring, spectrum management, secure communications, among others. Consequently, comprehensive spectrum awareness at the edge has the potential to serve as a key enabler for the emerging beyond 5G (fifth generation) networks. State-of-the-art studies in this domain have (i) only focused on a single task – modulation or signal (protocol) classification or radio frequency fingerprinting – which in many cases is insufficient information for a system to act on, (ii) consider either radar or communication waveforms (homogeneous waveform category), and (iii) does not address edge deployment during neural network design phase. In this dissertation, deep learning is applied to the various signal recognition problems from  a multi-task perspective with an emphasis on edge deployment. To address edge deployment, various techniques are applied to solve the signal recognition problem under consideration (modulation, wireless protocol, emitter fingerprint recognition) to design scalable and computationally efficient framework. While designing the edge deployable architectures, the generalization capability of the architectures are evaluated under various circumstances to quantify their performance under real-world settings such as emissions from actual emitters (commercial emissions wherever applicable), training with a different propagation scenario and testing under a never-before-seen setting.

The study was sectioned into different stages where multi-task learning is first applied to solving wireless standard and modulation recognition, followed by applying deep compression for CBRS radar waveform classification, next radio frequency fingerprinting for commercial WiFi and Bluetooth emissions were studied utilizing novel multi-task attentional architectures, and finally the multi-task learning together with deep compression was employed to deploy the architectures in a real-time streaming radio testbed for real-time inferencing of wireless standard and modulation recognition. The feasibility of employing deep compression techniques are carefully evaluated in a real-world deployment setting to quantify the performance from a computational and inference capacity perspective.

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RSAA PhD student awarded a 2024 NASA Hubble Fellowship

Congratulations to PhD student Madi McKenzie. Madi has been awarded one of 24 Fellowships offered as part of the 2024 NASA Hubble Fellowship Program (NHFP) with her proposal 'Uncovering the unknown origins of globular clusters.'  The program will provide her with up to 3 years of support at Carnegie Observatories. For more details, read the . For more details, read the NASA Press Release here . 

Meet the 2024 NHFP Fellows

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