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Efficient Modeling and Simulation of Power Networks Using Model Order Reduction

Shahzad Khan, Mohsin (SINES-NUST Islamabad, 2024)

Electricity is distributed through a network of transmission and distribution lines to industrial, commercial and residential load. These networks cover a large geographical area making their analysis and monitoring a ...

Decentralized Collaborative Model Learning for Enhanced Distributed Intrusion Detection

Nasir, Zia Ul Islam ((SINES), NUST., 2024)

The increasing reliance on networked technologies has triggered a digital transformation in interconnected systems through integrating diverse technologies. This interconnectivity has considerably expanded the attack ...

Demand Response for Efficient Power Generation in Smart Grids Using Hyperlocal Weather Predictions

Faraz ((SINES), NUST., 2023)

Optimising power-generation efficiency has arisen as a critical challenge in the fastchanging environment of smart grids and urban ecosystems. Properly using energy resources has become essential in today’s technologically ...

Assessing the Role of Urban Forests as Natural Seismic Metamaterials in USCS Classified Soils and Islamabad's Subsoils

Khan, Arshad Ullah ((SINES), NUST., 2023)

The devastating 2005 earthquake in Pakistan underscored the urgent need for seismic-resilient infrastructure, prompting a reassessment of seismic-resistant measures. Simultaneously, the escalating risks associated with ...

STRUCTURE BASED TOXICITY ANALYSIS OF PESTICIDAL POPs & EFFICIENT ADSORPTIVE REMOVAL FROM WATER USING ZIF-8

AZAM, SUMAIYA ((SINES), NUST., 2023)

Persistent Organic Pollutants (POPs) are a class of highly persistent and bioaccumulative chemicals that pose serious negative impacts on the ecosystem and human health. This POPs family comprises certain pesticides i.e., ...

Reinforcement Learning Based Agent Training for User Privacy in Metaverse

Naeem, Amna ((SINES), NUST., 2023)

The emergence of the Metaverse introduces a new paradigm of interconnected virtual spaces, fostering social interactions and immersive experiences. However, this virtual realm is not devoid of privacy challenges, ranging ...

Computational Analysis of Systemic Lupus Erythematosus (SLE) using Sequencing, Systems Biology and Machine Learning Approaches

Saleem, Kashif ((SINES), NUST., 2023)

Systemic Lupus Erythematosus (SLE), commonly known as lupus, presents a complex autoimmune challenge where the immune system mistakenly targets healthy tissues. Excessive immune responses can lead to the immune system ...

Comparative Analysis of Microarray andBulkRNA-seq Data for Identifying Putative Interactionsof NR5A1 in Azoospermia

WaseemAbbas, Muhammad ((SINES), NUST., 2023)

Azoospermia is one of the major causes of male infertility and is described as theabsence of spermatozoa in the ejaculate. Azoospermia is the cause of infertilityinmore than one percent of males in the general population ...

Optimization of Box Design of Storage Boxes in Cold Stores using CFD Analysis

Muhammad Ali, Usama ((SINES), NUST., 2023)

Food wastage due to inefficient storage techniques is not only adding to the food insecurity of the world but also causing an increase in the carbon footprint of the human race. If stored in an efficient way using optimized ...

Conversion of Trivial Plumbene into Topological NTI as Quantum Material via Doping Strategy Using First Principle Quantum Chemical Calculations

Usman, Muhammad ((SINES), NUST., 2023)

Science has shown a great deal of interest in the investigation of topological properties in twodimensional materials, especially Xenes. Investigations into 2D materials with several uses, including optoelectronics, ...

Calorie Estimation of Daily Meals using Machine Learning

Mazhar, Fahmeen ((SINES), NUST., 2023)

Eating a healthy, well-balanced diet is becoming more and more important as nutritionrelated diseases rise in prevalence worldwide. Over the past few years, recording and calculating daily calorie intake has also become ...

Reconfigurable Intelligent Surface assisted Computation Offloading for autonomous systems in Mobile Edge Computing

Saleem, Osama ((SINES), NUST., 2023)

Mobile Edge Computing (MEC) is a new paradigm that utilizes edge infrastructure to bring computation power closer to end-users. This reduces latency and improves performance. With the advancement of self-driving technology, ...

Iterative Rational Krylov Algorithm (IRKA) for Modelling Dynamic Temperature Distribution in Epidermal Temperature Sensors

Tasneem, Faiza ((SINES), NUST., 2023)

Accurate skin temperature measurement can offer clinically useful data regarding cardiovascular health, cognitive function, cancer risk, and many other aspects of human physiology together with other measurements [36]. ...

Towards Safer Roads: Vehicle Detection, Counting and Classification in Challenging Foggy Conditions

Samina ((SINES), NUST., 2023)

Monitoring highway traffic is an important task for any country since it involves the transportation of people and goods across geographical boundaries. Manual monitoring of vehicles travelling via highways was frequent ...

Deciphering the Molecular Mechanistic of the H3K27M Mutation and PRC2 complex binding in Diffuse Intrinsic Pontine Glioma (DIPG)

RAHMAN, ALINA ((SINES), NUST., 2023)

DIPG, a fatal pediatric brainstem tumor with a 0% survival rate, is hindered by its inoperable location, limiting research. It is driven by the H3K27M mutation in histone 3, causing structural changes in PRC2 and aberrant ...

Discovery of Renin Inhibitors through the Approach of Molecular Docking and Fragment-Based Drug Design

Afzal, Ayesha ((SINES), NUST., 2023)

Direct renin inhibitors are third-generation non-peptide antihypertensive medications that directly inhibit the renin enzyme. Renin is a rate-limiting enzyme of the Renin- Renin-Angiotensin-Aldosterone-System (RAAS). The ...

Flash flood susceptibility prediction mapping using Remote Sensing and Machine Learning

BIN SARDAR, MUHAMMAD TAHA ((SINES), NUST., 2023)

Pakistan has witnessed recurring, devastating floods attributed to extreme rainfall, causing loss of life and significant economic consequences. Studies have been conducted with regards to flood prediction mapping in ...

Bioinformatics-Driven Identification of Therapeutic Target & Designing of Novel Compounds for Parkinson’s Disease

Bisma Ishtiaq, Bisma Ishtiaq ((SINES), NUST., 2023)

Parkinson’s disease (PD) is a complex neurodegenerative disorder that has become a matter of significant concern due to its increasing prevalence among the aging population. The hallmark of PD is the gradual degeneration ...

EVALUATION OF PILOT PERFORMANCE IN A VIRTUAL REALITY (VR) BASED SIMULATED FLIGHT ENVIRONMENT

Pervaiz, Anam ((SINES), NUST., 2023)

Flight simulation technology has become a vital tool for pilot training and performance evaluation, allowing aviators to refine their skills in controlled environments. This study compares pilot performance in two distinct ...

Target-Disease-Drug Association Network- Guided Classification and Drug Repurposing of Neurological Disorders

Ateeque, Muhammad Yasir ((SINES), NUST., 2023)

Accurate therapeutic intervention against many Neurological disorders is still not known. Only symptomatic treatments are being used for the cure of such devasting disorders. Therefore, it is crucial to probe the target ...

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