Hafiz Jamil | Cyber Threat | Best Researcher Award

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Dr. Hafiz Jamil | Cyber Threat | Best Researcher Award

Data Scientist at Home, United States

Dr. Hafiz Jamil is a highly accomplished researcher and engineer specializing in Electronic Engineering with a focus on Data Science, AI-driven Intelligent Systems, IoT, and Renewable Energy Solutions. With over nine years of experience, he has led numerous national and international projects, successfully developing advanced energy management systems that incorporate blockchain and AI technologies. Dr. Jamil has a proven track record in optimizing real-time data analytics, enhancing operational efficiency, and driving sustainability in energy systems. He holds a Ph.D. in Electronic Engineering, along with a Master’s in Electrical Engineering and a Bachelor’s in Electronic Engineering. Additionally, he has received multiple awards for his research excellence and is a published author in prestigious scientific journals.

Profile:

Education:

Dr. Hafiz Jamil holds a Doctor of Philosophy (Ph.D.) in Electronic Engineering, specializing in advanced energy management solutions, IoT, and intelligent systems. He also earned a Master of Science (M.Sc.) in Electrical Engineering, where he focused on integrating AI and blockchain technologies into energy systems. His academic journey began with a Bachelor of Science (B.Sc.) in Electronic Engineering. In addition to his formal degrees, Dr. Jamil has pursued specialized certifications in fields such as Advanced Machine Learning, Blockchain for Energy, Python for Data Science, MATLAB for Engineers, and IoT System Architecture.

Professional Experience:

Dr. Hafiz Jamil possesses extensive professional experience in the fields of Electronic Engineering, Data Science, and Renewable Energy Solutions. Currently serving as a Research and Development Engineer at KETEP’s Big Data Research Center in South Korea, he has spearheaded the integration of big data analytics and IoT systems, significantly enhancing operational efficiency by reducing latency and downtime. His key accomplishments include developing advanced energy management solutions that incorporate blockchain and AI technologies, resulting in a 25% improvement in operational reliability. Previously, Dr. Jamil worked as a Consultant in Project Portfolio Management at CSU Science and Technology Park in China, where he optimized human activity recognition systems and enhanced energy efficiency in electric vehicles. Earlier in his career, he served as a Data Engineer in Power Systems in Pakistan, where he led automation projects and mentored teams to improve project success rates. His work is characterized by a strong commitment to innovation, collaboration with industry leaders, and a focus on sustainability in energy management.

Research Interests:

Dr. Hafiz Jamil’s research interests lie at the intersection of Electronic Engineering, Data Science, and Renewable Energy Solutions. He is particularly focused on developing AI-driven intelligent systems and Internet of Things (IoT) applications that enhance energy management and sustainability. His work encompasses advanced data analytics and machine learning, aiming to optimize real-time data processing and improve system performance in energy systems. Dr. Jamil has a keen interest in integrating blockchain technology for enhanced transparency and security in energy transactions. His research also includes the exploration of digital twin technology for optimizing renewable energy use and reducing peak loads in energy systems. Additionally, he is dedicated to advancing federated learning and smart grid technologies to promote energy efficiency and resource management in modern energy infrastructures.

Skills:

Dr. Hafiz Jamil possesses a diverse skill set that encompasses various domains within Electronic Engineering and Data Science. He is highly proficient in developing and implementing machine learning models, data analytics, and AI-driven intelligent systems, with expertise in programming languages such as Python, MATLAB, and C++. Dr. Jamil has a strong command of advanced technologies, including blockchain integration for energy systems and IoT development for smart grids. His technical capabilities extend to real-time monitoring and predictive optimization, allowing him to enhance operational efficiency in energy management solutions. Additionally, he excels in project management and cross-functional collaboration, demonstrating leadership in guiding teams through complex technological challenges. Dr. Jamil’s skills in automation, data governance, and scalable model deployment further contribute to his ability to drive innovation and improve system performance across various projects in the field.

Conclusion:

Given Dr. Hafiz Jamil’s impressive track record in research, innovation, and practical application in fields such as AI, IoT, and renewable energy systems, he is highly suitable for the Best Researcher Award. His research contributions, technical leadership, and groundbreaking work in enhancing energy efficiency make him an outstanding candidate for this recognition.

Publication Top Noted:

An Optimized Ensemble Prediction Model Using AutoML Based on Soft Voting Classifier for Network Intrusion Detection

  • Journal: Journal of Network and Computer Applications
  • Cited By: 58
  • Year: 2023
  • Contributors: M.A. Khan, N. Iqbal, H. Jamil, D.H. Kim

PetroBlock: A Blockchain-Based Payment Mechanism for Fueling Smart Vehicles

  • Journal: Applied Sciences
  • Cited By: 52
  • Year: 2021
  • Contributors: F. Jamil, O. Cheikhrouhou, H. Jamil, A. Koubaa, A. Derhab, M.A. Ferrag

An Efficient Dynamic-Decision Based Task Scheduler for Task Offloading Optimization and Energy Management in Mobile Cloud Computing

  • Journal: Sensors
  • Cited By: 48
  • Year: 2021
  • Contributors: A. Ali, M.M. Iqbal, H. Jamil, F. Qayyum, S. Jabbar, O. Cheikhrouhou, M. Baz, et al.

Optimal Scheduling of Campus Microgrid Considering the Electric Vehicle Integration in Smart Grid

  • Journal: Sensors
  • Cited By: 45
  • Year: 2021
  • Contributors: T. Nasir, S. Raza, M. Abrar, H.A. Muqeet, H. Jamil, F. Qayyum, et al.

EEG-Based Neonatal Sleep Stage Classification Using Ensemble Learning

  • Journal: Computers, Materials & Continua
  • Cited By: 37
  • Year: 2022
  • Contributors: S.F. Abbasi, H. Jamil, W. Chen

Ahamed Ali S | Information Security | Best Researcher Award

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Dr. Ahamed Ali S, Information Security, Best Researcher Award

Doctorate at Easwari Engineering College, India

Dr. Ahamed Ali S is an accomplished academician and researcher in the field of Computer Science and Engineering (CSE). He holds a Ph.D. in CSE from Anna University, which he completed in 2019. Prior to his doctoral studies, he obtained his Master’s degree (M.E.) in CSE from Anna University, graduating with First Class with Distinction in 2005. Dr. Ahamed Ali S began his academic journey with a Bachelor’s degree (B.E.) in CSE from Bharathidasan University, where he achieved First Class honors in 1999.

With over 18 years of experience in academia, Dr. Ahamed Ali S has served in various capacities, including Assistant Professor roles at prestigious institutions such as SRM Easwari Engineering College and Velammal Engineering College in Chennai. He has also contributed as a Lecturer at Jerusalem Engineering College and Srinivasa Institute of Engineering and Technology. Throughout his career, he has taken on several responsibilities, including membership in professional bodies, participation in boards and advisory committees, and coordination of national conferences and events.

profile

Education

  • Ph.D. (CSE), Anna University, 2019 (Grade: NA)
  • M.E (CSE), Anna University, 2005 (First Class with Distinction)
  • B.E (CSE), Bharathidasan University, 1999 (First Class)
Professional Experience
Dr. Ahamed Ali S is a highly experienced academician and researcher with over 18 years of dedicated service in the field of Computer Science and Engineering (CSE). His professional journey includes significant roles at esteemed educational institutions in Chennai, India.

From March 2021 to the present, Dr. Ahamed Ali S has been serving as an Assistant Professor at SRM Easwari Engineering College, where he contributes to the academic and research activities in CSE. Prior to his current position, he held the position of Assistant Professor (Grade III) at Velammal Engineering College, Chennai, from July 2006 to February 2021, where he made notable contributions to the department.

Earlier in his career, Dr. Ahamed Ali S served as a Lecturer at Jerusalem Engineering College for 1 year and 6 months (from December 2004 to June 2006) and at Srinivasa Institute of Engineering and Technology for 2 years and 7 months (from December 2000 to July 2003). Throughout his tenure in academia, he has been actively involved in various administrative and academic responsibilities, including:

  • Serving as a member of the Placement Committee
  • Coordinating the National Board of Accreditation (NBA) Department
  • Overseeing NAAC Criteria V as Incharge
  • Fulfilling duties as the NIRF Coordinator
  • Acting as a Proctor
  • Serving as the Autonomous Coordinator for the department
  • Membership in the Course File Committee
  • Overseeing feedback mechanisms
  • Coordination as the LFC coordinator for Tech Mahindra

In addition to his academic roles, Dr. Ahamed Ali S is affiliated with professional bodies such as the International Association of Engineers (ID: 216052) and the Internet Society (ID: 194027). He actively contributes to the academic community as a reviewer for reputable journals like KSII Transactions on Internet and Information Systems and as a Technical Committee Member in various national conferences.

Dr. Ahamed Ali S is committed to his professional development and has obtained several certifications in cutting-edge technologies and educational methodologies, including Cloud Computing, Python for Data Science, NBA Accreditation, Software Testing, and Java Programming. He is certified by NITTR, Chennai, and ZANDIG TQM Solutions Pvt Ltd, Bangalore, and has completed the Cisco Networking Academy’s CCNA Exploration: Network Fundamentals course.

Research Interest

Dr. Ahamed Ali S’s research interests span a broad spectrum within the field of Computer Science and Engineering (CSE). With over 18 years of experience, his scholarly pursuits encompass several key areas of inquiry. Primarily, he delves into Artificial Intelligence (AI) and Machine Learning (ML), exploring the development and application of algorithms in natural language processing, computer vision, pattern recognition, and predictive analytics. Additionally, he investigates Data Science and Big Data Analytics, focusing on methodologies for analyzing large datasets across various domains. Dr. Ahamed Ali S is also engaged in research related to Internet of Things (IoT) and Sensor Networks, examining design principles, communication protocols, and energy-efficient solutions. Furthermore, his interests extend to cybersecurity, privacy-preserving technologies, and cryptography, addressing emerging challenges in safeguarding digital assets and sensitive information. Moreover, he explores advanced topics in deep learning, neural networks, computer vision, and image processing, aiming to enhance performance and interpretability for diverse applications. Dr. Ahamed Ali S’s research endeavors also encompass edge computing, distributed systems, blockchain technology, cloud computing, software engineering, and development methodologies. Through his interdisciplinary approach, he seeks to advance knowledge and contribute to the development of innovative solutions with real-world impact.

Publications 

Developing multi-path routing protocol in MANET using hybrid SM-CSBO based on novel multi-objective function

  • Journal: International Journal of Communication Systems
  • Year: 2023
  • DOI: 10.1002/DAC.5404
  • WOSUID: WOS:000896772000001
  • Contributors: Deepa Jeyaraj, Justindhas Yesudhasan, Ahamed Ali Samsu Aliar

Intelligent energy efficient vehicle automation system with sensible edge processing protocol in Internet of Vehicles using hybrid optimization strategy

  • Journal: Wireless Networks
  • Year: 2023
  • DOI: 10.1007/s11276-022-03204-5
  • Contributors: Deepa Jeyaraj, Ahamed Ali Samsu Aliar, Hemamalini S.

An Automated Detection of DDoS Attack in Cloud Using Optimized Weighted Fused Features and Hybrid DBN-GRU Architecture

  • Journal: Cybernetics and Systems
  • Year: 2022
  • DOI: 10.1080/01969722.2022.2157603
  • WOSUID: WOS:000914201500001
  • Contributors: Ahamed Ali Samsu Aliar, Moorthy Agoramoorthy, Y. Justindhas

Effective intrusion detection system for IoT using optimized capsule autoencoder model

  • Journal: Concurrency and Computation: Practice and Experience
  • Year: 2022
  • DOI: 10.1002/cpe.6918
  • EID: 2-s2.0-85126000835
  • Contributors: C.U. Om Kumar, J. Durairaj, S.A. Ahamed Ali, Y. Justindhas, S. Marappan

Survey on Autonomous Vehicles using Artificial Intelligence

  • Conference: 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC)
  • Year: 2022
  • DOI: 10.1109/icesc54411.2022.9885422
  • Contributors: Ahamed Ali Samsu Aliar