Android has become one of the leading mobile operating system platforms in the world. As of September 2020, there are over 3 million applications available on the Google Play Store. Considering that applications on Android are available via other sources as well (for instance, torrents, one-click hosters, websites, blogs or alternative app markets), the total number of applications available for the Android platform is much higher. In the android landscape, malware represents a significant proportion of all applications. Various sources estimate between 6-10% of android applications are malicious and potentially harmful

Due to constant development of new strains and variants of malware, the composition of malware found in realistic settings is invariably evolving. These changes can lead to inconsistencies in the performance of malware classifiers. It is infeasible to repeatedly retrain classifiers on newer strains of malware. This is due to the high cost of identifying and labelling the malware as well as the computational cost of retraining and distributing the updated classifier. Thus, there is a need to model malware classifiers which can stay effective against the evolving malware landscape. This can be achieved by identifying and studying program analysis methodologies in order to create robust abstractions of the applications.

Android is one of the world's leading tablet and smartphone operating systems. As of 2019, more than 1.6 billion devices worldwide support Android. which accounts for over 70\% of the mobile operating system share worldwide. Research shows that the number of total malware by 2020 is estimated at over 1.1 billion, which has increased 18 times over the last 10 years. Moreover, there have been an average of more than 10 million new malware per month in 2020.

As new forms of malware are being generated, it is important to assess whether models which have been trained on older data sets, can effectively and accurately classify newer applications as malicious or benign. An issue in the Android malware classification realm, is that malware classifiers are not evaluated in settings which represent real world deployments. In order to successfully assess the effectiveness of a classifier in a realistic setting, it is important to evaluate the robustness to temporal decay.

In addition to temporal considerations during classification, the ratio of malware to goodware (or non-malicious) in realistic scenarios should be enforced during evaluation. This ratio is domain specific. Reports suggest that most Android applications are non-malicious.

Thus, there is an urgent need for robust, efficient and spatial-temporal aware malware classification solutions.

The project is research oriented and focuses on evaluating various program analysis methodologies in the malware classification realm. To this end, static program analysis algorithms are considered for this project. The developmental scope of the project will cover the execution of control flow analysis of Android applications, generations of graph vector embeddings and modelling of a malware classifier using these abstractions. Furthermore, the project will evaluate the effectiveness of different abstraction methodologies for classification. With a focus on robustness of classification to changes in malware landscape over time, the project will also evaluate the classifier with time-aware data splits.

There are numerous static program analysis methodologies. However, this project will exclusively focus on control flow analysis and extensions thereof. The methodologies implemented in this project have been selected after careful consideration and are in no way an exhaustive list of approaches.

Due to the research oriented nature of the project, the development of a sophisticated malware detection system is not within the scope of the project. Even though the modelling and development of a classifier is within the scope of the project, the user interface and experience design for the same are not.

RESPONSIBLE FOR DEVELOPING THE WEBSITE AND FRAMEWORK FOR A SINGAPORE BASED LOGISTICS PLATFORM, USING TECHNOLOGIES SUCH AS REACT, NODE.JS, MONGODB, STRIPE, ETC

The website is under construction and will soon be published for use. Stay tuned for updates.

The My Buddy app is a fully functional cross-platform (Android \& iOS) mobile application specially designed for the Maudsley NHS Foundation Trust Helping Families Team which are a specialist mental health service for families in complex circumstances. It's a buddy system for the clinicians that allows them to keep track of their appointments, ensure their attendance and ensure the safety of the clinicians when they see their patients by having them check in/out at scheduled times, and notify members of the team if they haven't already. The entire app is centered around the objective to provide a seamless experience for the Helping Families Team Members at the NHS.

The objective of this project is to produce a mobile app that all members of the team can download. This would need specific features, for example being able to log appointment start and end times, check in and out of appointments, emergency functions allowing contact to be made with the entire team as well as sharing the users live location, reminders for the team to check in on clinician etc. When creating appointments, a buddy request will be sent and the buddy, when accepted, will be responsible for keeping in touch and ensuring safety. It should be an easy way for clinicians in the community to let their team know they are safe, and for the team to be able to act quickly if required.

DEVELOPED A WEB APP FOR A GAME RENTALS SOCIETY USING THE LAMP STACK

While designing the website, consistency and usability where the two main criteria we considered. Each page on the website (other than the home page) is consistent in design. Each of them is laid out as a heading followed by a breadcrumb. The breadcrumbs help with accessibility and tell the users about their current location on the website.

Each card in the products page has been carefully designed. It makes sure that each card is consistent regardless of the name of the product, the description or even the image size.

Users can access all options simply from the navbar, except for the reports which can be found on their dashboard. All the necessary information is displayed always to users.

In addition to this, on completion of any action, or on performing an invalid action, the user is given alerts. Green (success) alerts for successful completion of a task, red (danger) alerts for attempting to execute an invalid task and yellow (warning) alerts in case of Exceptions in the code.

DEVELOPED A BASIC NATIVE APP USING REACT NATIVE

Capo for Dummies is a tool which helps guitarists realise how Capo positioning will affect their music.

Capo is a device that shortens the length of all the strings at the same time, effectively changing the pitch. Depending on the positioning of the Capo, the pitch is changed differently.

This App calculates which key/chords you will be playing by placing the Capo in a particular position

CREATED A TEXT-BASED RPG WITH MULTIPLE ENDINGS, BASED IN THE FUTURE, USING JAVA

This is the Second Assignment for Programming Practice and Application (PPA). The game is a text based adventure game called ‘Lambda Corps’. It has various rooms which the player can go through, characters and items to interact with and objectives to complete. The game has been inspired from multiple sources. Some of the more important inspirations for the game are ‘The Stanley Parable’ and ‘Wolfenstein 3D’.

The game aims to create an interactive and interesting environment for the user. In addition to the many commands the user can use and the special features of the game, I have also incorporated numerous gaming and music references throughout the game.

The Game ‘Lambda Corps’ takes place in the future, on an Earth in which World War 3 has already taken place. World War 4 is going on, and the 2 sides, the United Federation and the Alliance, are using Cyber Warfare to fight. Due to this changed way of warfare, huge software companies have been added to the army. The protagonist’s name is William Joseph Blazkowicz, and he has just started working at one of these companies called Lambda Corps.

During the game, you can move through rooms, pick up or drop items and talk to different characters in the game. You are given multiple tasks throughout the game. The next task dialogue is only displayed once you have completed the current task. At any given point, if you forget the task, entering the ‘task’ command will tell you what the current task is. In case you get lost, then you can use the ‘help’ command to print the list of valid commands and the map of the facility, which also shows your current location.

As the game progresses, so do the days passed since you started playing. This gives the game a sense of progression. Certain tasks will make the game skip a few days, and so will going to the Recreational Room. However there is a limit to the number of days you can proceed to. Once the game reaches 75 days, you automatically lose the game and one of the possible outcomes is printed.

In the game you meet another employee in the facility, called Stanley. He tells you that the Chief of the Corps might be betraying the United Federation and leaking secrets to the Alliance. You are required to help him and perform the required tasks. You help him find proof of the Chief’s treason, or so he says. To stop the chief from leaking the code for the ‘Reboot Matrix’ of the United Federation Stanley has planted a bug in the Chief’s ‘Superluminal Transmitter’. Unfortunately because of his activities, Stanley has been banned from the facility. Now it is up to the player to activate the bug in the transmitter.

Once you reach the Chief’s office, you get to know that the Chief thinks that Stanley is the mole. The Chief tells you that Stanley has always been suspicious and now has turned out to be a spy for the Alliance who has already leaked information to them. Because of your interactions with him, suspicion has fallen on you as well. The Chief asks you to prove your loyalty by fixing the bug in the superluminal transmitter, so that he can send a message to the Headquarters. This is when the player is faced with a choice. You can either ‘activate’ the bug or you can ‘fix’ it. As it turns out Stanley was the mole along. When you fix the bug, you end up saving the United Federation and winning the game! If you choose to activate the bug, you end up losing the game. Other than this there are a few secret endings to the game. Once you have collected the CSB from the Server Room, you can actually go to the Chief and give it to him instead of giving it to Stanley. This will end the game as well and you will win since you were able to stop the attack. Also if you pick the rose found outside the facility and give it to Emily, then if you win the game, Emily asks you out on a date.

CREATED A PREDETOR/PREY SIMULATION OF THE CANADIAN BOREAL FOREST WITH MULTIPLE TERRAINS, ANIMALS, SEASONS, BREEDING CYCLES ETC, USING JAVA

For this assignment, we have chosen to simulate the Canadian ecosystem, closely resembling that of the Boreal forest. Animals like bears, wolves, elks, moose, wolverines and salmon populate the landscape along with 2 species of plants. Environmental factors like day and night, seasons, weather and terrain have also been simulated. The simulation contains a total of 3 different zones; the land, the shore and the lake. Bears, elks, moose, wolves and wolverines are land animals and are thus only allowed in the shore and the land. On the other hand Salmon are allowed in the lake and shore and cannot go to the land.

The animals can be carnivores, herbivores or omnivores. This determines what each animal will be able to eat. Each animal has a breeding season and if they are hibernating animals, then a hibernating season as well. The plants grow differently in different seasons and their growth is affected by the weather.

CREATED A GUI FOR A VISUALIZER FOR SUCH A MARKETPLACE DISPLAYING DATA GIVEN IN A CSV. USED JAVA, FXML, CSS AND GOOGLE MAPS API

This is an app created to explore available properties inside London using the property dataset of Airbnb. It’s designed to be easy to use, and powerful in the data it can display. Creating the piece of software used all the unique talents of Team Hummus, and we split the work evenly between us through GitHub and peer programming at Bush House.

The GUI carries a modern design with “matte” black backgrounds, bright pink elements and minimalism. Since the application is designed to be for Airbnb, the official “Airbnb pink” was used for text and borders to adhere to company design standards. The base idea of the GUI is to disguise the complexity of the backend behind a deceptively simple user interface.

CREATED A DATABASE AND PERFORMED SELECT, UPDATE AND DELETE OPERATIONS ON A DATABASE FOR THE VOICE LONDON.

Implemented a relational model for a television talent show name "The Voice London", based on a previously created ER Diagram and set of requirements.

Performed different data manipulation and retrieval operations on the database.