• A Gamified Cybersecurity Learning Platform for Enhancing Beginner Engagement and Awareness 

  Muhammad Sanwal Noor, 09-242242-005 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)

  Cybersecurity education faces a persistent gap between conceptual knowledge and the applied, decision-making skills that practitioners actually need. Conventional lectures and multiple-choice assessments rarely place ...
• AI-Based Threat Intelligence and Anomaly Detection Framework for Hybrid Cloud Security Using Azure and Mitre Att&Ck 

  Mohammad Abdurrehman, 09-242242-004 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)

  Traditional cyber security monitoring tools are heavily dependent on a static, signaturebased approach to identifying malicious activity. These can deal with known and knownto-be-known attacks, but are less effective in ...
• Performance Characterization of Evoapproxlib Circuits for Errortolerant Computing 

  Mohammad Abdullah, 09-242242-003 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)

  The overall performance characterization of the approximate arithmetic circuits from the EvoApproxLib library is presented and its suitability for error-tolerant computing applications is discussed. EvoApproxLib contains ...
• Enhancing Privacy and Security in Embedded Systems Through Edge Vpn 

  Arshad Ullah, 09-242242-002 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)

  The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge ...
• Enhanced FGPA Implementations of Communication Protocol Receivers with Early Anomaly Detection Capabilities 

  Naveed Iqbal, 09-242242-007 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)

  Communication protocols such as UART, and SPI remain widely used across embedded systems, avionics, automotive electronics, and industrial equipment. While these protocols are mature and reliable, their conventional receiver ...
• Cryptography on Risc-V Systems: Ascon Algorithm on Cv32e40x Core Cv-X-If Based ISE using Pynq-Z1 Soc Fpga 

  Ali Raza, 09-242242-001 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)

  In 2023 the National Institute of Standards and Technology (NIST) selected Ascon as the standard for lightweight cryptography (LWC), formalized as NIST SP 800-232. As Ascon becomes the basis for confdentiality, integrity ...
• Predication of Judgments According to the Given Cases Using a Hybrid Approach 

  Ayesha Shah, 01-242192-002 (Computer Engineering, Bahria University Engineering School Islamabad, 2022)

  The advancement of technology has led to an increase in the number ofitems becoming digital. Nowadays, courts generate a large amount of data (unstructured data) each day, including legal data. The digitization of this ...
• Detection of Intracranial Hemorrhage and Its Subtypes from CT Scan Images Using Multilevel Features Deep Neural Network 

  Muhammad Hamza, 01-242182-004 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)

  Intracranial hemorrhage is a challenging diagnosis in medical emergencies, in which medical practitioners need quick decision to provide best medical facilities to patient. BuL. in practice accurate diagnosis is a time ...
• Performance Evaluation of Machine Learning Based Channel Equalization Techniques 

  NOSHABA TARIQ, 01-242182-007 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)

  Wireless communication systems are evolving with the passage of time and resulted in the advanced communication systems such as mobile and Adhoc communication systems, sensor networks etc. Two fundamental parameters ...
• IMPROVED ZONE BASED DIVISIONAL HIERARCHICAL ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS 

  MUHAMMAD TAMOOR IQBAL, 01-242172-005 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)

  WSNs consists of spatially distributed set of autonomous nodes which are extensively used in surveillance and monitoring purpose. WSNs has limited battery power and limited resources and this battery power cannot be ...
• LOW LATENCY MONTGOMERY MULTIPLIER FOR CRYPTOGRAPHIC APPLICATIONS 

  MUHAMMAD HUZAIFA, 01-242181-003 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)

  In this modern era, protection of data is very important, to overcome these circumstances we can deploy different types of cryptographic algorithm such as VPNs, SSL and IPsec for securing our data from malicious attacks ...
• Hybrid Clustering Shortest Path Routing Protocol (HCSPRP) for WSN 

  IFTIKHAR AHMAD, 01-242171-007 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)

  Energy efficiency and stabilizing the network lifetime is one of the biggest priorities in a wireless sensor network. The life cycle of the sensor node mainly relies on limited batteries due to its tiny size. To exchange ...
• Improving Energy and Transmission Control of Heterogeneous Wireless Sensor Network by using Fog Node 

  Naseer Amin, 01-242172-006 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)

  The internet of things (IoT) is the emerging technology which calibrates with other technology that will benefit the end-user. The IoT-based Wireless sensor networking and their application are used would wide but WSN ...
• A DEEP LEARNING APPROACH FOR COW UDDER DETECTION 

  ARIF ZAMAN, 01-242172-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)

  Image recognition with deep learning focuses on identifying one or more specific objects, class or feature in a specified image or video frame. Deep learning has received a lot of attention recently and is yielding ...
• Fake News Detection Using Deep Learning 

  Rafi Ullah Khan, 01-242182-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)

  Classification of fake news content is one of the challenging problems of Natural Language Processing (NLP). In classification of fake news detection, the classes of true and fake news are predefined in which the news ...
• Image Forgery Detection Using Natural Scene Statistics 

  Ali Ahsan, 01-242182-001 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)

  A copy-move image forgery is the most common type of image tampering. It can be done by copying a part of an image and paste on another part of the same image. Therefore, it can be one of the challenging tasks to find ...
• Aerial Imagery Pile Burn Detection using Deep Learning 

  Hoor Ul Ain Tahir, 01-242202-003 (Computer Engineering, Bahria University Engineering School Islamabad, 2022)

  Wildfires are one of the costliest and deadliest natural disasters around the globe, affecting millions of acres of forest resources and threatening the lives of human and animals. Thousands of forest fires across the ...
• Weapon Detection System for Surveillance and Security 

  Abdullah Waqar, 01-242202-001 (Computer Engineering, Bahria University Engineering School Islamabad, 2022)

  Weapons are a critical and serious topic and has become a severe threat to current security needs. People who bring firearms into airlines, schools, and other secure locations pose a threat to public safety. In certain ...
• Classification of EEG Signals for Neuromarketing applications 

  Syed Mohsin Ali Shah, 01-242192-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2022)

  Every year, more than 400 billion dollars is spent on marketing campaigns. It is a common practice to promote diverse customer goods through advertising campaigns in order to boost revenues and consumer awareness. The ...
• Text mining (NLP) Abstractive text summarization using deep sequence models (T-0399) (MFN 8758) 

  Engr. Muhammad Irfan, 01-242182-005 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)

  The reading of the long text is time consuming and sometimes understanding the context becomes difficult. Summaries are important specifically when we need to save our time and to understand the actual context of a long ...

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