Thesis/Dissertation Repository Engineering School Islamabad: Recent submissions

  • Efficient Controller implementation of Single Inductor multiple output Converter 
    Mudassar Usman, 01-244182-020 (Electrical Engineering, Bahria University Engineering School Islamabad, 2020)
    Rapid change in technology and growing trends in electronics devices, markets are looking for efficient devices with compactable size. Several digital devices and charging infrastructures requires dynamic voltage supply ...
  • IMPROVED SLIDING MODE CONTROL FOR PARALLEL INVERTER IN GRID CONNECTED PV-SYSTEM 
    IMRAN AHMAD, 01-244182-006 (Electrical Engineering, Bahria University Engineering School Islamabad, 2020)
    The voltage inverters (VSI) are used to integrate the different sources into the microgrid. VSI must be controlled in such a way that they will be able to remove the non-linearity, to give high steady performance, fast ...
  • EFFICIENT ELECTRIC VEHICLES INTEGRATION IN MICROGRID 
    SHOAIB AHMAD, 01-244181-024 (Electrical Engineering, Bahria University Engineering School Islamabad, 2020)
    Electric vehicles integration to the conventional AC power grid system ensures the continuity of power supply under different circumstances. The conversion from AC-DC and DC-AC happens in G2V mode of operation and V2G ...
  • Cooperative Control of Networked Multi-Agent Systems 
    Ali Mustafa, 01-281131-002 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    In recent years, technological advances and the latest trends in communication and control systems engineering have driven the revolution for multi-agent systems with distributed control through consensus algorithms for ...
  • PHYSIOLOGICALLY RELEVANT SIT-TO-STAND MOVEMENT WITH OUTPUT FEEDBACK TRACKING 
    SAMINA RAFIQUE, 01-281142-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2022)
    This research work proposes a modeling framework to simulate joints and head position trajectories as control variables during STS. Besides this, a modeling scheme for CNS’s inference mechanism to estimate appropriate ...
  • A Deep Learning Approach for Prediction of Epileptic Seizures Using EEG Signals 
    SYED MUHAMMAD USMAN, 01-281182-002 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)
    Epilepsy is a brain disorder in which a patient undergoes frequent seizures. Around 30% of patients affected with epilepsy cannot be treated with medicines/surgical procedures. However, abnormal activity, known as ...
  • 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 ...
  • DRY HOLE ANALYSIS OF KHARIO-01, SOUTHERN INDUS BASIN, PAKISTAN 
    Muhammad Abdullah, 01-262201-016 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2021)
    The present study is carried out in the Khewari area, lies in the Southern Indus basin. In this study petrophysical analysis of well log data of the Khario-01, Suleman-01 and Aradin-01 is used and for the seismic ...
  • GEOCHEMICAL EVALUATION OF SOURCE ROCKS OF PALEOCENE AGE, KOHAT SUB-BASIN, PAKISTAN 
    Jazeb Sohail, 01-262201-013 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2021)
    Kohat basin is present in the northwest extension of Indus basin KPK, Pakistan. It is the main hydrocarbon producing basin of the province. It has numerous petroleum plays in production and potential categories from ...
  • RESERVOIR EVALUATION OF SANDS OF LOWER GORU FORMATION BY PETROPHYSICAL INTERPRETATION OF BAZ-01, JABO-01, AND JABO-05, SOUTHERN INDUS BASIN, PAKISTAN 
    SYED MUNEEB AKHTER GARDEZI, 01-262201-020 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)
    The study area located in Southern Indus Basin, Badin district, Sindh province, Pakistan and the present study deals with reservoir properties of Sands of Lower Goru Formation which is the lower member of Goru Formation. ...
  • ESTIMATION OF POROSITY AND TOTAL ORGANIC CARBON CONTENT, IN UNCONVENTIONAL RESOURCE PLAY, BADIN GAS FIELD, PAKISTAN 
    MUHAMMAD SAQIB QURESHI, 01-262201-025 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)
    The objective of this research was to quantify the Badin Shales, of Lower Goru, as unconventional resource in the Badin area, through TOC and porosity estimation, and to describe the structural settings of the study area ...
  • AN INTEGRATED APPROACH OF PETROPHYSICS AND ROCK PHYSICS MODELING USING 3D SEISMIC DATA OF DULJAN AREA, LOWER INDUS BASIN, PAKISTAN 
    UROOJ SIKANDAR, 01-261102-027 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)
    The lower Indus Basin has a huge significance and a great potential to produce oil and gas in Pakistan. To determine its hidden certainties, the present study on Duljan area has been carried out using advanced techniques ...
  • VERMIREMEDIATION OF PETROLEUM HYDROCARBONS FROM CRUDE OIL CONTAMINATED SOIL USING EARTHWORM (EISENIA FETIDA) 
    Iqra Azam, 01-262201-005 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2022)
    The earthworm Eisenia Fetida bioremediation capacity in soil contaminated with crude oil was examined. 3 ml and 6 ml crude oil, each with repetitions, were contaminated with dried and sieved soils, inoculated with ...
  • CODE SMELLS DETECTION USING DEEP LEARNING METHODS 
    AMMARAH WAHEED, 01-241211-001 (Software Engineering, Bahria University Engineering School Islamabad, 2022)
    Code smells can degrade software quality over time and the probability of change proneness or fault proneness is higher in the software having code smells as compared to software having no code smells. If the code smells ...
  • CODE SMELLS-BASED FAULT PREDICTION USING DEEP LEARNING TECHNIQUE 
    MUZALFA ASHRAF, 01-241211-006 (Software Engineering, Bahria University Engineering School Islamabad, 2022)
    Code smells are the structural characteristics of the software under development that indicate poor design or code choices that have the potential to cause an error or failure in the software such that it makes the ...

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