Ali Raza | Network Attacks | Best Researcher Award

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Mr. Ali Raza | Network Attacks | Best Researcher Award

Lecturer at The University Of Lahore, Pakistan

Mr. Ali Raza is an accomplished computer science professional and researcher with a strong academic foundation and expertise in machine learning, cybersecurity, and software development. He completed his MS in Computer Science with a high CGPA of 3.93 from Khwaja Fareed University of Engineering and Information Technology (KFUEIT), where he also earned his bachelor’s degree. Mr. Raza has experience as a Lecturer at the University of Lahore, teaching software engineering courses, and as a Visiting Lecturer at KFUEIT, covering subjects like machine learning and data structures. His industry experience as a Full Stack Python Developer at BuiltinSoft involved developing web applications using Python Django and machine learning frameworks. Mr. Raza has published several impactful research articles in high-ranking journals, focusing on network attack detection, health risk prediction, and cyber-attack prevention. His work combines deep technical skills and a commitment to advancing applied research in computer science.

Profile:

Education:

Mr. Ali Raza holds an impressive academic background, having completed his Master of Science (MS) in Computer Science at Khwaja Fareed University of Engineering and Information Technology (KFUEIT) with a remarkable CGPA of 3.93 in 2023. During his studies, KFUEIT achieved a ranking of #258 in the Asian University Rankings for Southern Asia, underscoring the institution’s reputation for academic excellence. Prior to this, he earned his Bachelor of Science (BS) in Computer Science from the same university, graduating with a CGPA of 3.47 in 2021. This solid educational foundation has equipped Mr. Raza with the necessary knowledge and skills to excel in the fields of computer science and machine learning, fostering his commitment to furthering research and innovation in technology.

Professional Experience:

Mr. Ali Raza has built a solid professional background in academia and industry, contributing to both teaching and software development. Currently, he serves as a Lecturer in the Department of Software Engineering at the University of Lahore, ranked #40 in the Asian University Rankings for Southern Asia, where he specializes in Object-Oriented Programming. Prior to this role, he was a Visiting Lecturer at Khwaja Fareed University of Engineering and Information Technology (KFUEIT) from 2021 to 2023, where he taught a wide range of courses, including Introduction to ICT, Programming Fundamentals, Database Systems, Machine Learning, Data Structures, and Algorithms. Complementing his academic roles, Mr. Raza gained valuable industry experience as a Full Stack Python Developer at BuiltinSoft from 2020 to 2022. In this role, he developed business web applications using Python Django and integrated machine learning frameworks, further enhancing his practical expertise in application development. This blend of academic and industry experience has equipped Mr. Raza with both a deep theoretical foundation and hands-on technical skills.

Research Interests:

Mr. Ali Raza’s research interests center on advancing methodologies in machine learning, cybersecurity, computer vision, and signal processing. He is particularly focused on leveraging machine learning algorithms to enhance network security, developing predictive models to detect cyber threats, and optimizing feature engineering for data-driven health risk analysis. Additionally, his work in computer vision, particularly using deep learning techniques, explores novel approaches for identifying genetic disorders from facial images, providing valuable tools in the field of medical diagnostics. His research contributions demonstrate a commitment to developing innovative, practical solutions that address complex challenges in technology and healthcare.

Conclusion:

Ali Raza’s strong academic background, extensive teaching and industry experience, and impactful research contributions make him a highly suitable candidate for the Best Researcher Award. His interdisciplinary approach, particularly in applying machine learning to pressing challenges in cybersecurity and healthcare, demonstrates a commitment to both innovation and societal impact. His work aligns well with the goals of the award, making him a deserving candidate for recognition.

Publication Top Noted:

A novel deep learning approach for deepfake image detection

  • Authors: A. Raza, K. Munir, M. Almutairi
  • Journal: Applied Sciences
  • Volume: 12
  • Issue: 19
  • Article: 9820
  • Year: 2022
  • Citations: 80

Predicting employee attrition using machine learning approaches

  • Authors: A. Raza, K. Munir, M. Almutairi, F. Younas, MMS Fareed
  • Journal: Applied Sciences
  • Volume: 12
  • Issue: 13
  • Article: 6424
  • Year: 2022
  • Citations: 77

Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction

  • Authors: A. Raza, H.U.R. Siddiqui, K. Munir, M. Almutairi, F. Rustam, I. Ashraf
  • Journal: Plos One
  • Volume: 17
  • Issue: 11
  • Article: e0276525
  • Year: 2022
  • Citations: 63

A novel approach for polycystic ovary syndrome prediction using machine learning in bioinformatics

  • Authors: S. Nasim, M.S. Almutairi, K. Munir, A. Raza, F. Younas
  • Journal: IEEE Access
  • Volume: 10
  • Pages: 97610-97624
  • Year: 2022
  • Citations: 39

A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems

  • Authors: M. Imran, H.U.R. Siddiqui, A. Raza, M.A. Raza, F. Rustam, I. Ashraf
  • Journal: Computers & Security
  • Volume: 134
  • Article: 103445
  • Year: 2023
  • Citations: 29

Novel class probability features for optimizing network attack detection with machine learning

  • Authors: A. Raza, K. Munir, M.S. Almutairi, R. Sehar
  • Journal: IEEE Access
  • Year: 2023
  • Citations: 28

Effective feature engineering technique for heart disease prediction with machine learning

  • Authors: A.M. Qadri, A. Raza, K. Munir, M.S. Almutairi
  • Journal: IEEE Access
  • Volume: 11
  • Pages: 56214-56224
  • Year: 2023
  • Citations: 27

A novel methodology for human kinematics motion detection based on smartphones sensor data using artificial intelligence

  • Authors: A. Raza, M.R. Al Nasar, E.S. Hanandeh, R.A. Zitar, A.Y. Nasereddin, et al.
  • Journal: Technologies
  • Volume: 11
  • Issue: 2
  • Article: 55
  • Year: 2023
  • Citations: 24

LogRF: An approach to human pose estimation using skeleton landmarks for physiotherapy fitness exercise correction

  • Authors: A. Raza, A.M. Qadri, I. Akhtar, N.A. Samee, M. Alabdulhafith
  • Journal: IEEE Access
  • Year: 2023
  • Citations: 22

A novel ensemble method for enhancing Internet of Things device security against botnet attacks

  • Authors: A. Arshad, M. Jabeen, S. Ubaid, A. Raza, L. Abualigah, K. Aldiabat, H. Jia
  • Journal: Decision Analytics Journal
  • Volume: 8
  • Article: 100307
  • Year: 2023
  • Citations: 21

Sathiya R | Intrusion Detection | Best Researcher Award

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Mrs. Sathiya R | Intrusion Detection | Best Researcher Award

Sathiya R Thangavelu Engineering College, India

Summary:

Sathiya R is an experienced Assistant Professor with a robust academic and professional background in Information Technology. Currently serving at Thangavelu Engineering College, Chennai, Sathiya has held previous teaching positions at several esteemed institutions including Karpagam Institute of Technology, AVS College of Technology, Ganesh College of Engineering, and JKKN Institute of Engineering & Technology. Sathiya holds an M.E. degree in Information Technology from Anna University, Coimbatore, and a B.E. degree from Mahendra College of Engineering and Technology, Karur. With a strong foundation in programming languages such as C, Core Java, and Python, Sathiya also possesses expertise in web designing (HTML, CSS, JavaScript, ReactJS) and database management (Oracle). Sathiya’s skills extend to computer programming, web technology, problem-solving, object-oriented programming, and software testing.

Profile:

Education:

Sathiya R completed an M.E. degree in Information Technology from Anna University, Regional Centre, Coimbatore, with an impressive aggregate of 81%. Prior to this, Sathiya earned a B.E. degree in Information Technology from Mahendra College of Engineering and Technology, Karur, achieving an aggregate of 79%. Sathiya completed the 12th standard at Saraswathi Matric Higher Secondary School, Attur, with an aggregate of 85.40%. The 10th standard was completed at Green Park Matric Higher Secondary School, Attur, where Sathiya attained an aggregate of 75.40%.

Professional Experience:

Sathiya R has been serving as an Assistant Professor at Thangavelu Engineering College, Chennai, since February 1, 2022. Prior to this role, Sathiya worked as an Assistant Professor at Karpagam Institute of Technology, Coimbatore, from December 26, 2019, to January 27, 2022. Before that, Sathiya held a similar position at AVS College of Technology, Salem, from June 20, 2016, to July 15, 2019. Sathiya’s earlier experience includes a role as an Assistant Professor at Ganesh College of Engineering, Salem, from June 25, 2015, to May 23, 2016, and at JKKN Institute of Engineering & Technology, Salem, from August 24, 2013, to April 20, 2015.

Skills:

Sathiya R has a solid foundation in several programming languages and technologies. This includes basic proficiency in C, Core Java, and Python. In web designing, Sathiya is skilled in HTML, CSS, JavaScript, and ReactJS. Additionally, Sathiya has experience with database management using Oracle. The areas of expertise also cover computer programming, web technology, problem-solving with Python programming, object-oriented programming, and software testing.

Publications:

Swarm optimized differential evolution and probabilistic extreme learning based intrusion detection in MANET

Authors: Sathiya R, Yuvaraj D.N.

Citations: 0

Year: 2024

Enhancing the reliability of cloud data by implementing AES algorithm

Authors: Suganya N, Sathiya R, Ilamurugan G, Pavithra M, Karthikeyan C

Citations: 2

Year: 2021