Atif Rehman | AI & Cybersecurity | Best Researcher Award

Mr. Atif Rehman | AI & Cybersecurity | Best Researcher Award

Vice President at NUST, Pakistan

Summary:

Mr. Atif Rehman is a graduate in Computational Sciences and Engineering with a special focus on control systems, having earned his Master’s degree from the National University of Science and Technology (NUST), Islamabad. He completed his undergraduate studies in Mathematics from the International Islamic University, Islamabad. His academic journey is marked by his commitment to integrating advanced mathematical techniques with engineering applications, particularly in the fields of nonlinear control systems and optimization. Mr. Rehman has contributed to the development of novel optimization algorithms aimed at improving control system performance, notably through his work on Grey Wolf Optimization for robust nonlinear controller design. He is passionate about using his knowledge to develop sustainable, efficient solutions in various domains, including healthcare and transportation.

Professional Profile:

👩‍🎓Education:

  • Master of Science in Computational Sciences and Engineering
    • Institution: National University of Science and Technology (NUST), Islamabad
    • Duration: September 2021 – August 2023
    • CGPA: 3.70 / 4.0
    • Principal Subjects: Linear Control Systems, Nonlinear Control Systems, Adaptive/Closed-loop Control, Sliding Mode Control, Advanced Machine Learning, Deep Learning
    • Research Thesis: “Improved Grey Wolf Optimization-Based Robust Nonlinear Controller Design for Prostate Cancer”
    • Focus: This research bridged the theoretical knowledge of control systems with their practical applications, specifically targeting health technology for prostate cancer treatments.
  • Bachelor of Science in Mathematics
    • Institution: International Islamic University (IIU), Islamabad
    • Duration: September 2017 – August 2021
    • CGPA: 3.61 / 4.0
    • Principal Subjects: Calculus, Linear Algebra, Real Analysis, Numerical Methods, Partial Differential Equations, Fluid Mechanics, Discrete Structures

🏢 Professional Experience:

Mr. Atif Rehman has a strong academic background that bridges both theoretical and applied mathematics, computational sciences, and engineering. His advanced studies in computational sciences and engineering with a focus on control systems, along with his extensive research in optimization techniques, provide him with the necessary skills to contribute significantly to the development of efficient systems. His research endeavors in robust nonlinear controller design and optimization algorithms demonstrate his capacity for both theoretical advancements and practical solutions.

His master’s thesis on designing a robust nonlinear controller for prostate cancer treatment using Grey Wolf Optimization reflects his interest in applying computational techniques to real-world problems. Additionally, his undergraduate studies in mathematics provided him with a robust understanding of the fundamental principles of calculus, linear algebra, and numerical methods, which laid the groundwork for his future research in control systems and optimization.

Research Interests:

Mr. Rehman’s research interests lie at the intersection of control systems, optimization techniques, and machine learning. Specifically, he is keen on the following areas:

  • Deep Reinforcement Learning: Applying reinforcement learning to optimize control systems.
  • Machine Learning: Using machine learning for system modeling and predictive control.
  • Adaptive Control Systems: Developing control strategies that adjust to changing system parameters over time, such as in biomedical applications where system parameters may vary across individuals or conditions.
  • Optimization Techniques: Implementing advanced optimization algorithms like Improved Grey Wolf Optimization, Genetic Algorithms, and reinforcement learning-based optimization to solve complex control problems.

Author Metrics:

  • Publications:
    1. Improved Grey Wolf Optimization-Based Robust Nonlinear Controller Design for Prostate Cancer
    2. Optimized Nonlinear Robust Controller Along with Model-Parameter Estimation for Blood Glucose Regulation in Type-1 Diabetes
    • His works primarily focus on optimization techniques, machine learning, and adaptive control, showing substantial contributions to both academia and practical applications.
  • Citations: His research in robust controller design and adaptive systems has garnered attention in related academic circles, contributing to advancements in both theoretical studies and practical solutions for control systems in biomedical applications.

Top Noted Publication:

A novel adiabatic SRAM cell implementation using split level charge recovery logic

  • Authors: S.D. Kumar, S.K.N. Mahammad
  • Conference: 2015 19th International Symposium on VLSI Design and Test
  • Year: 2015
  • Citations: 14
  • Summary: This work presents an innovative approach to SRAM cell design using split-level charge recovery logic, enhancing the power efficiency and performance of static random-access memory (SRAM) cells. The study discusses the implementation methodology and evaluates the performance improvements.

Efficient IP lookup using hybrid trie-based partitioning of TCAM-based open flow switches

  • Authors: S. Veeramani, S. Noor Mahammad
  • Journal: Photonic Network Communications
  • Volume: 28, Pages 135-145
  • Year: 2014
  • Citations: 14
  • Summary: This paper proposes a hybrid trie-based partitioning method for optimizing IP lookup operations in TCAM-based OpenFlow switches, which improves the speed and efficiency of network traffic handling.

High speed multiplexer design using tree-based decomposition algorithm

  • Author: N.M. Sk
  • Journal: Microelectronics Journal
  • Volume: 51, Pages 99-111
  • Year: 2016
  • Citations: 13
  • Summary: The study introduces a high-speed multiplexer design employing a tree-based decomposition algorithm. This design enhances multiplexer performance by reducing propagation delay and power consumption, proving beneficial for high-speed digital circuits.

Multiplication acceleration through quarter precision Wallace tree multiplier

  • Authors: M.M.A. Basiri, S.C. Nayak, N.M. Sk
  • Conference: 2014 International Conference on Signal Processing and Integrated Networks
  • Year: 2014
  • Citations: 13
  • Summary: This paper describes an acceleration method for multiplication using a quarter-precision Wallace tree multiplier. The approach improves computation efficiency in digital signal processing applications.

Novel approach to secure channel using c-scan and microcontroller in OpenFlow

  • Authors: S. Veeramani, B.N. Rout, S.K.N. Mahammad
  • Conference: 2013 IEEE International Conference on Advanced Networks and Telecommunications Systems
  • Year: 2013
  • Citations: 13
  • Summary: This research outlines a novel approach to securing communication channels in OpenFlow networks using c-scan algorithms and microcontroller-based implementations, enhancing the security protocols in SDN (Software-Defined Networking) environments.

Conclusion:

Assoc. Prof. Dr. Noor Mahammad Sk exemplifies an outstanding researcher with extensive experience, impactful publications, and a strong commitment to academic mentorship and infrastructure development. His contributions to high-performance computing, embedded system design, and FPGA prototyping have been both innovative and practical, addressing key challenges in modern computer architecture. By broadening his international collaborations and enhancing the global visibility of his work, Dr. Noor could further solidify his position as a top-tier researcher. His achievements make him a highly suitable candidate for the Best Researcher Award in the domain of Computer Architecture.

 

Noor Mahammad Sk | Computer Architecture | Best Researcher Award

Assoc. Prof. Dr. Noor Mahammad Sk | Computer Architecture | Best Researcher Award

Associate Professor at IIITDM Kancheepuram, India

Summary:

Assoc. Prof. Dr. Noor Mahammad Sk is a seasoned academic with two decades of teaching and research expertise. His career at IIITDM Kancheepuram, Chennai, reflects his dedication to advancing computer science education and research. An innovator in high-performance computing, Dr. Noor has developed unique elective courses and established significant research infrastructure. He is well-recognized for mentoring doctoral candidates and overseeing a broad array of student research projects. His extensive involvement in workshops, conferences, and curriculum development underscores his leadership in the academic community.

Professional Profile:

👩‍🎓Education:

Assoc. Prof. Dr. Noor Mahammad Sk completed his advanced education in the field of Computer Science and Engineering, culminating in a distinguished academic and research career. His educational trajectory laid a strong foundation for his expertise, which he has furthered through ongoing academic and professional pursuits at premier institutions.

🏢 Professional Experience:

Dr. Noor Mahammad Sk has over 20 years of teaching experience and nearly 19 years of research experience as of December 31, 2023. Currently, he is an Associate Professor at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, Chennai. His tenure at IIITDM began in 2011, progressing from roles as an Assistant Professor to his current position. He has contributed significantly to academic administration, including serving as Network and Computer Coordinator, Chief Warden, and CSE department timetable coordinator. His professional portfolio includes guiding over 110 student projects at both M.Tech. and B.Tech. levels and establishing the High-Performance Reconfigurable Computing System Engineering (Hprcse) Lab, equipped with cutting-edge workstations, FPGA prototype boards, and industry-sponsored switches.

Research Interests:

Dr. Noor’s research spans several critical areas in Computer Science and Engineering, focusing on:

  • High-performance computing and reconfigurable systems
  • Embedded system design and engineering
  • Advanced FPGA prototyping and testing methodologies
  • Network infrastructure and system optimization

Author Metrics:

  • Research Publications: 39 international journal articles (36 SCI/SCIE-indexed, 39 Scopus-indexed)
  • Conference Papers: 50 international papers, including a best paper award
  • PhD Supervision: 5 completions, 4 ongoing
  • Sponsored Projects: 7 completed
  • Industrial Consultancy: 20 completed projects

Top Noted Publication:

A novel adiabatic SRAM cell implementation using split level charge recovery logic

  • Authors: S.D. Kumar, S.K.N. Mahammad
  • Conference: 2015 19th International Symposium on VLSI Design and Test
  • Year: 2015
  • Citations: 14
  • Summary: This work presents an innovative approach to SRAM cell design using split-level charge recovery logic, enhancing the power efficiency and performance of static random-access memory (SRAM) cells. The study discusses the implementation methodology and evaluates the performance improvements.

Efficient IP lookup using hybrid trie-based partitioning of TCAM-based open flow switches

  • Authors: S. Veeramani, S. Noor Mahammad
  • Journal: Photonic Network Communications
  • Volume: 28, Pages 135-145
  • Year: 2014
  • Citations: 14
  • Summary: This paper proposes a hybrid trie-based partitioning method for optimizing IP lookup operations in TCAM-based OpenFlow switches, which improves the speed and efficiency of network traffic handling.

High speed multiplexer design using tree-based decomposition algorithm

  • Author: N.M. Sk
  • Journal: Microelectronics Journal
  • Volume: 51, Pages 99-111
  • Year: 2016
  • Citations: 13
  • Summary: The study introduces a high-speed multiplexer design employing a tree-based decomposition algorithm. This design enhances multiplexer performance by reducing propagation delay and power consumption, proving beneficial for high-speed digital circuits.

Multiplication acceleration through quarter precision Wallace tree multiplier

  • Authors: M.M.A. Basiri, S.C. Nayak, N.M. Sk
  • Conference: 2014 International Conference on Signal Processing and Integrated Networks
  • Year: 2014
  • Citations: 13
  • Summary: This paper describes an acceleration method for multiplication using a quarter-precision Wallace tree multiplier. The approach improves computation efficiency in digital signal processing applications.

Novel approach to secure channel using c-scan and microcontroller in OpenFlow

  • Authors: S. Veeramani, B.N. Rout, S.K.N. Mahammad
  • Conference: 2013 IEEE International Conference on Advanced Networks and Telecommunications Systems
  • Year: 2013
  • Citations: 13
  • Summary: This research outlines a novel approach to securing communication channels in OpenFlow networks using c-scan algorithms and microcontroller-based implementations, enhancing the security protocols in SDN (Software-Defined Networking) environments.

Conclusion:

Assoc. Prof. Dr. Noor Mahammad Sk exemplifies an outstanding researcher with extensive experience, impactful publications, and a strong commitment to academic mentorship and infrastructure development. His contributions to high-performance computing, embedded system design, and FPGA prototyping have been both innovative and practical, addressing key challenges in modern computer architecture. By broadening his international collaborations and enhancing the global visibility of his work, Dr. Noor could further solidify his position as a top-tier researcher. His achievements make him a highly suitable candidate for the Best Researcher Award in the domain of Computer Architecture.