TEACHING

Teaching Commitments

ECE5179: Neural Networks and Deep Learning - Semester 2 2022

ECE5883: Advanced Signal Processing - Semester 1 2022

ENG5001: Advanced Engineering Data Analysis - Semester 1 2022

FIT1048: Fundamentals of C++ - Semester 1 2022

ECE5884: Wireless Communications - Semester 2 2021

ECE4191-ENG5105: Engineering Design - Semester 2 2020 - 2022

ECE4146: Multimedia Technologies - Semester 2 2020 - 2022

ECE3141: Information and Networks - Semester 1 2020 - 2022

ECE4044: Telecommunications Protocols - Semester 1 2020

ECE2072: Digital Systems - Semester 1 2020 - 2022

ECE4042: Communications Theory - Semester 1 2019 - 2022

ECE4076: Computer Vision - Semester 1 2019 - 2022

ECE2071: Computer Organization and Programming - Semester 1 2019 - 2022

Multiple Engineering Units - Semester 1 2016 - 2018

Units and Responsibilities

ECE5179: Neural Networks and Deep Learning - Semester 2 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Postgraduate

Responsibilities:

- Delivering laboratory and practical classes focused on deep learning concepts and Python programming.

- Guiding students through the application of deep learning techniques and Python coding practices.

- Marking assignments and conducting assessments to evaluate student understanding and academic progress.

Course Overview: This unit introduces the fundamentals of deep learning and how it can solve problems in many areas, such as image classification, filter design, and natural language processing. Neural networks are first described and how training can be achieved with backpropagation. Various forms of deep neural networks are developed, such as multilayer perceptrons, convolution neural networks, and recurrent neural networks. The mathematics of stochastic optimization is used to interpret and understand the behavior and training of these networks. Programming approaches are discussed for training and deploying neural networks. Deep learning technologies and design examples are discussed in areas such as driverless cars, personal cognitive assistants, and mastering games such as GO.

Chief Examiner: A/Prof. Mehrtash Harandi

ECE5883: Advanced Signal Processing - Semester 1 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Postgraduate

Responsibilities:

- Designing video-lab assessments to align with course objectives and enhance learning.

- Coordinating and running lab sessions, ensuring smooth execution and student engagement.

- Managing student forums, addressing inquiries, and fostering academic discussions.

- Meticulously assessing and grading assignments and examinations to evaluate student progress.

Course Overview: The unit introduces the fundamentals of statistical signal processing with an emphasis on stochastic models, estimation theory, parametric and non-parametric modeling, and least squares methods. After a review of basic probability and random processes, the use of stochastic models for real-world signals is illustrated. A family of algorithms for the creation, efficient representation, and effective modeling is presented. Specifically, linear stochastic models are presented and the importance of correlation structure in deriving the parameters of such models is illustrated. The unit also covers how parametric and non-parametric models as well as statistical techniques are used to extract information from data signals corrupted by noise. The concept of estimation from real-world data is presented, as opposed to the basic analysis of signals, transfer functions, and power spectra. In particular, the fundamentals of linear estimation theory and optimal filtering to design advanced signal processing algorithms are presented.

Chief Examiner: Prof. Emanuele Viterbo

ENG5001: Advanced Engineering Data Analysis - Semester 1 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Postgraduate

Responsibilities:

- Teaching practical classes, and facilitating hands-on learning experiences for students.

- Collaborating with colleagues to enhance course delivery and student engagement.

Course Overview: The unit consists of a review of probabilistic foundations for data analysis including probability, random variables, expectation, distribution functions, important probability distributions, central limit theorem, random vectors, conditional distributions, and random processes. This unit also covers the foundations of statistical inference including estimation, confidence intervals, maximum likelihood, hypothesis testing, least-squares, and regression analysis. A selection of more advanced topics in probability, random modeling, and statistical inference will also be presented. Further, some widely used numerical computing environments are used throughout the unit.

Chief Examiner: A/Prof. Sudha Mokkapati

FIT1048: Fundamentals of C++ - Semester 1 2022

Faculty of Information Technology, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Undergraduate

Responsibilities:

- Delivering both laboratory and practical classes focused on deep learning concepts and Python programming.

- Guiding students through complex topics, ensuring understanding and application of key concepts.

- Marking assignments and assessing student performance, providing feedback for academic growth.

Course Overview: This unit introduces programming fundamentals and the C++ language to students. The unit provides a foundational understanding of program design and implementation of algorithms to solve simple problems. Fundamental programming control structures, built in and complex data-types and mechanisms for modularity will be presented in C++. This unit also places a focus on object-oriented design principles, using object-oriented design as a process for program design and problem solving. More advanced object-oriented programming topics such as inheritance and polymorphism will also be covered. Other C++ fundamentals such as pointers and the STL will be presented, as will implementations of algorithms and data structures used in problem solving.

Chief Examiner: Ms. Cheryl Howard

ECE5884: Wireless Communications - Semester 2 2021

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Postgraduate

Responsibilities:

- Conducting software-defined radio (SDR) laboratory sessions to enhance practical understanding of key concepts.

- Supervising and guiding students to ensure successful completion of assigned tasks.

- Providing support to help students comprehend core SDR concepts and address challenges.

- Evaluating written reports and providing constructive feedback to promote learning and improvement.

Course Overview: This unit introduces the fundamentals of wireless communications and networking. You will learn about the characteristics of wireless channels, coding, modulation techniques, methods of combating fading including space, time, and frequency diversity, multiple access techniques, and cellular networks. A selection of more advanced topics will also be covered including MIMO systems, heterogeneous networks, and cognitive and cooperative communications.

Chief Examiner: Dr. Nikola Zlatanov

ECE4191-ENG5105: Engineering Design - Semester 2 2020 - 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Postgraduate/Undergraduate

Responsibilities:

- Supervising postgraduate and undergraduate students, providing technical mentorship, and offering programming assistance.

- Assisting students with problem-solving, project planning, and advising strategies to overcome technical and interpersonal challenges.

- Facilitating conflict resolution among team members to ensure a collaborative work environment.

- Assessing oral presentations and project reports, and providing constructive feedback for improvement.

- Overseeing several design and construction projects, including:

i) A mobile robot with odometric sensing, high-level navigation, and ball collection capabilities.

ii) A sustainable baby monitor featuring voice and image recognition and a parent alarm system.

iii) An automated color cube-sorting robot arm with a microprocessor controller.

Course Overview: This unit extends the level of complexity of electronic design by integrating and applying core knowledge in electrical and computer systems engineering. You will use linear and non-linear electronics, computer engineering, and communications engineering to tackle a group project, apply project management skills, and extend your experience of working in groups. The project will extend the design processes introduced in the earlier units to a larger, more complex, and less constrained problem that integrates multiple sub-disciplines of your course. The project will be complemented by lectures in project management, including working with teams, project management tools and techniques, and written and verbal communication. Frameworks for analysing the life cycles of systems are introduced. Tools and techniques to aid decision-making are provided.

Chief Examiners: Prof. Tom Drummond, Dr. Michael Burke

ECE4146: Multimedia Technologies - Semester 2 2020 - 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Undergraduate

Responsibilities:

- Conducting laboratory classes and facilitating hands-on learning experiences.

- Guiding students through required tasks, ensuring comprehension and skill development.

- Assessing student performance and providing constructive feedback to support their academic progress.

Course Overview: This unit provides an understanding of the nature and limits of processing of media (image, video, audio) for telecommunications, storage, interpretation and analysis. It includes compression of multimedia from basic information theoretic concepts through to advanced video (e.g. MPEG), image (JPEG, JPEG2000) and audio (CELP, MP3, AAC, Dolby Digital) coding. XML-based metadata systems are used to illustrate concepts of content characterisation and discovery. The ability of modern network protocols to support media streaming is related directly to service requirements such as error and delay tolerance. Where media is intended for human consumption, the characteristics of human perception of image and sound determine minimum quality requirements, but also reveal limitations that can be exploited when compressing media data. Machine interpretation and analysis of multimedia is also investigated. Case studies in media analysis (e.g. Shazam), delivery (video on demand) and consumption (digital cinema) are used to illustrate the technologies investigated.

Chief Examiners: Dr. Mike Biggar

ECE3141: Information and Networks - Semester 1 2020 - 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Undergraduate

Responsibilities:

- Demonstrating laboratory sessions and providing hands-on guidance to students.

- Supervising final projects, offering mentorship, and ensuring academic standards.

- Conducting in-lab assessments to evaluate student understanding and performance.

- Marking exams and project presentations, and providing detailed feedback to support student development.

Course Overview: This unit provides an introduction to underlying technologies, major components and system-wide architectures of modern telecommunication systems. After introducing concepts of block and stream delivery, requirements of a telecommunications network and representation of analogue signals (e.g. voice and video) in digital form, the unit will cover all the major functions in layered architectures. Topics to be covered include multiplexing, basic line transmission and modulation, error protection and correction, packet switching, LAN protocols and the TCP/IP protocols on which the Internet is built. Particular emphasis is given to the major functions that combine to allow communication across key modern digital telecommunication systems such as the Internet, mobile telephony, digital TV and Digital Audio Broadcasting.

Chief Examiners: A/Prof. Yi Hong

ECE4044: Telecommunications Protocols - Semester 1 2020

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Undergraduate

Responsibilities:

- Conducting Mininet network programming laboratory sessions to enhance students' practical skills.

- Chairing final team project presentations and providing constructive feedback.

- Assessing final team projects to evaluate technical proficiency and collaboration.

Course Overview: In this unit, the fundamentals of telecommunication network protocols are studied by having the Internet's software architecture as its primary focus. Many protocols used in the application, transport, and network layers such as Internetworking, TCP/IP protocols, IPv6, routing information protocols, and overlay networks are examined and analyzed. Client-server and peer-to-peer application architectures and their features are compared and contrasted. Reliable communication over an unreliable network layer, connection establishment, teardown, and multiplexing issues are covered. Protocols for network security, techniques for providing confidentiality, authentication, non-repudiation, and message integrity are also studied. Finally, protocols used for network management are analyzed.

Chief Examiner: Dr. Ahmet Şekercioğlu

ECE2072: Digital Systems - Semester 1 2020 - 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Undergraduate

Responsibilities:

- Demonstrating laboratory sessions and guiding students through hands-on experiments.

- Supervising student projects, providing mentorship, and ensuring academic progress.

- Conducting in-lab assessments to evaluate student performance.

- Contributing to final exam marking and assessment.

Course Overview: This unit introduces you to modern logic design techniques, hardware used and common representations. Topics include two and multi-level combinational logic, decoders, multiplexers, arithmetic circuits, programmable and steering logic, flip-flops, registers, counters, RAM and ROM. Using this hardware the design component will include finite state machine design and applications to computer data path control. This will incorporate simple analogue and digital I/O interfacing. Programmable logic devices will be covered, and the use of a hardware description language for describing, synthesising and testing digital logic. Laboratories cover logic design, implementation, and testing.

Chief Examiners: A/Prof. Lindsay Kleeman

ECE4042: Communications Theory - Semester 1 2019 - 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Undergraduate

Responsibilities:

- Planning, preparing, and delivering online and physical practical/tutorial classes to support student learning.

- Demonstrating laboratory techniques and providing mentorship during lab sessions.

- Conducting assessments, including evaluating in-lab performance and report submissions.

- Offering student consultations to address academic queries and provide guidance.

- Coordinating academic activities and contributing to exam marking and evaluation.

Course Overview: This unit will cover aspects of physical layer communications which are relevant to modern communication systems. Digital modulation techniques, including quadrature modulation and orthogonal frequency division multiplexing (OFDM) will be covered. The effects of noise on bit error rates will be covered, along with techniques to reduce them, including matched filtering and equalisation. Information theory covers questions of capacity, diversity, and error correction coding. Finally the use of multiple input multiple output (MIMO) communication systems will be covered.

Chief Examiners: A/Prof. Yi Hong

ECE4076: Computer Vision - Semester 1 2019 - 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Undergraduate

Responsibilities:

- Teaching practical and laboratory classes to undergraduate students.

- Serving as the deputy coordinator for the final exam, overseeing exam preparation and administration.

- Conducting student assessments, including grading and providing constructive feedback.

Course Overview: This unit aims to develop an understanding of methods for extracting useful information (e.g. 3-D structure; object size, motion, shape, location, and identity, etc.) from images. This unit also helps students understand how to construct computer vision systems for robotics, surveillance, medical imaging, and related application areas. The main topics covered in this unit are supervised and unsupervised learning, image filtering, key-point detection and matching, image segmentation and clustering, camera models and projection, multi-view geometry analysis, object recognition, face detection, and Deep Learning.

Chief Examiner: Prof. Tom Drummond

ECE2071: Computer Organization and Programming - Semester 1 2019 - 2022

Faculty of Engineering, Monash University, Melbourne, Australia

Role: Teaching Associate; Course Level: Undergraduate

Responsibilities:

- Designing, organizing, and delivering practical/tutorial classes and leading laboratory sessions to enhance student learning.

- Promoting teamwork and collaboration through active participation in team meetings.

- Offering individualized guidance and support to students through consultations.

- Providing detailed, accurate assessment and feedback on student works.

Course Overview: This unit provides an introduction to computers and CPU organisation, assemblers and compilers, and algorithm design for engineering problems. It covers the language C and its implementation on a typical computer, including standard data types, arrays, control statements, functions, including ways of parameter passing, C library functions, pointers, strings, arrays of pointers, structures, linked lists and binary tree data structures, dynamic memory allocations, and calls to assembly language programs. Object-oriented programming is introduced. Software engineering is covered as the methodology of software development and lifecycle models. Operating system concepts are introduced. The unit also includes an introduction to programmable logic controllers (PLCs).

Chief Examiner: Prof. Tom Drummond

Multiple Engineering Units - Semester 1 2016 - 2018

Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran

Role: Lab Instructor and Teaching Assistant; Course Level: Undergraduate

Responsibilities: Conducting laboratory classes and serving as a teaching assistant for various undergraduate courses, including:

i) Digital Communications

ii) Analog Communications

iii) C++ Programming

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