Ashish Ranjan Dash | Engineering | Best Researcher Award

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Dr. Ashish Ranjan Dash | Engineering | Best Researcher Award

Associate Professor at Centurion University of Technology and Management | India

Dr. Ashish Ranjan Dash is a highly accomplished academic and researcher in the field of electrical engineering, specializing in power electronics, multilevel inverters, and power quality improvement. With a proven track record in research, teaching, and project leadership, he has significantly contributed to advancements in smart infrastructure, renewable energy systems, and IoT-enabled agricultural automation. He has also played a pivotal role in supervising doctoral students, developing innovative solutions for industrial applications, and leading consultancy projects for technology-driven agriculture and smart systems.

Publication Profile 

Scopus

Google Scholar

Educational Background 

Dr. Dash earned his Ph.D. in Power Electronics from the National Institute of Technology (NIT) Rourkela, focusing on cascaded multilevel inverter-based shunt active filters under varying grid voltage conditions. He also holds an M.Tech. in Power Control and Drives from NIT Rourkela, where his dissertation explored control strategies for grid-connected inverter systems during fault conditions. His academic foundation is further strengthened by a B.Tech. in Electrical Engineering and a Diploma in Electrical Engineering, complemented by a strong record of academic excellence throughout his studies.

Professional Experience 

With over a decade of academic and research experience, Dr. Dash serves as an Associate Professor at Centurion University of Technology and Management, Odisha. His prior roles include research and academic positions in engineering colleges and at the Council of Scientific and Industrial Research. He has held key administrative positions such as Dean and Associate Dean of the School of Engineering and CEO of the Smart Infrastructure Research Center, where he has led interdisciplinary projects integrating IoT, automation, and renewable energy systems.

Research Interests 

His research focuses on power electronics, multilevel inverter design, power quality enhancement, electric vehicle charging infrastructure, smart grid systems, and IoT-enabled automation. He also works extensively on agricultural automation, including polyhouse automation, speed breeding chambers, and plant phenotyping systems. Emerging interests include machine learning applications for plant disease detection, robotics, and smart farming technologies.

Awards and Honors 

Dr. Dash has received multiple accolades, including the Distinguished Achiever Award at the Provost Research Awards and recognition as a session chair at IEEE international conferences. He is the founder of a technology-driven startup and actively engages in professional communities such as the IEEE Power Electronics Society, IEEE Industry Applications Society, and IEEE SIGHT.

Research Skills 

He possesses strong expertise in the design, modeling, and implementation of cascaded multilevel inverters, power quality control algorithms, and renewable energy integration. His skills extend to IoT-based system design, automation technologies, electric vehicle charging systems, and cloud-based agricultural monitoring. He is also an experienced reviewer for several high-impact international journals in power electronics and smart grid applications.

Publications 

A unified control of grid-interactive off-board EV battery charger with improved power quality

Citations: 49

Year: 2022

Reactive power compensation using vehicle-to-grid enabled bidirectional off-board EV battery charger

Citations: 34

Year: 2021

Adaptive LMBP training‐based icosϕ control technique for DSTATCOM

Citations: 33

Year: 2020

Analysis of PI and PR controllers for distributed power generation system under unbalanced grid faults

Citations: 33

Year: 2011

Design and implementation of a cascaded transformer coupled multilevel inverter‐based shunt active filter under different grid voltage conditions

Citations: 24

Year: 2019

Conclusion 

Dr. Ashish Ranjan Dash is a forward-looking researcher and educator whose work bridges advanced power electronics with practical applications in smart infrastructure and agricultural automation. His multidisciplinary expertise, leadership in funded projects, and dedication to mentoring the next generation of engineers make him a valuable contributor to both academia and industry. His continued research promises innovative advancements in electric mobility, renewable energy integration, and intelligent automation systems.

Amreen Shafique | Software Engineering | Best Researcher Award

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Dr. Amreen Shafique | Software Engineering | Best Researcher Award

Phd Scholar at Dalian University of Technology, China

Amreen Shafique is a dedicated Ph.D. scholar in Software Engineering at Dalian University of Technology, China. She has a strong academic background in computer science, complemented by practical teaching experience and a growing publication record in artificial intelligence and cybersecurity. Passionate about research and innovation, she aims to contribute to cutting-edge technologies such as Explainable AI, deep learning, and software-defined networking. Her analytical mindset, programming skills, and commitment to academic excellence define her professional identity.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctor of Philosophy (Ph.D.) in Software Engineering
    Dalian University of Technology, China
    2022 – Ongoing

  • Master of Science (MS) in Computer Science
    Mohi-ud-din Islamic University, Azad Kashmir, Pakistan
    2016 – 2018
    CGPA: 3.16 / 4.00

  • Bachelor of Science (BS) in Computer Science
    The University of Azad Jammu and Kashmir, Pakistan
    2007 – 2011
    CGPA: 2.72 / 4.00

Professional Experience 💼

  • Lecturer, Computer Science
    University of Kotli, Azad Kashmir, Pakistan
    2018 – 2022
    Delivered undergraduate courses, guided student projects, and participated in curriculum development.

  • Lecturer, Computer Science
    Leads Group of Colleges, Azad Kashmir, Pakistan
    2014 – 2018
    Engaged in teaching foundational and advanced computer science subjects.

Research Interests 🔬

  • Explainable Artificial Intelligence (XAI)

  • Cyber Security

  • Wireless Networking and Security

  • Deep Learning Enabled Robotics and Automation

  • Software Defined Networking (SDN)

  • Advanced Neural Networks

  • Generative Models

Strengths and Technical Skills

  • Technical and Research Writing (English)

  • Critical Analysis of Literature

  • Data Analytics

  • Programming Languages: MATLAB, Python, Java

Conclusion🌟

Amreen Shafique is an emerging researcher with a strong vision for integrating ethical AI, cybersecurity, and intelligent automation into real-world solutions. Her commitment to academic growth, combined with hands-on teaching and research experience, positions her as a valuable contributor to any forward-thinking research team or academic institution. She seeks opportunities that will foster collaboration, innovation, and impactful scientific contributions.

Publications 📚

1️⃣ AI Models and Ethical Considerations in Research

🧠📜 This publication explores the integration of ethical frameworks in the development and deployment of artificial intelligence models, emphasizing transparency, bias mitigation, and responsible innovation.

2️⃣ PypiGuard: A Novel Meta-Learning Approach for Enhanced Malicious Package Detection in PyPI Through Static-Dynamic Feature Fusion

This research presents PypiGuard, a cutting-edge hybrid model that combines static and dynamic analysis techniques using meta-learning to detect malicious packages in Python’s official package repository (PyPI), enhancing cybersecurity and trust in open-source software ecosystems.

Yousef Daradkeh | Computer Science | Best Academic Researcher Award

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Prof. Dr. Yousef Daradkeh | Computer Science | Best Academic Researcher Award

Professor at Prince Sattam Bin Abdulaziz University, Jordan

Prof. Dr. Yousef Daradkeh is a distinguished professor of Computer Engineering and Information Technology at the Department of Computer Engineering and Information, College of Engineering, Prince Sattam bin Abdulaziz University, Saudi Arabia. He holds a Doctor of Engineering Sciences in Computer Engineering and Information Technology and has over 19 years of extensive academic and administrative experience. Prof. Daradkeh is internationally recognized for his research and teaching in software engineering, computer networks, artificial intelligence, and cybersecurity. As an academic leader, researcher, author, and workshop facilitator, he has significantly contributed to scientific communities through over 128 peer-reviewed publications, multiple books, and active participation in international conferences and editorial boards.

Publication Profile 

Google Scholar

Educational Background 🎓

  • Ph.D. in Computer Engineering and Information Technology
    Belarusian State University of Informatics and Radioelectronics, 2006

    • Dissertation: Interpretation of Polymorphous Networks Models in Real-Time Allocation Systems

    • Accredited by the Higher Education Accreditation Commission (HEAC)

  • Postdoctoral Research Fellowships

    • University of Calgary, Canada (2007–2009) – Systems, Networks, and Devices of Telecommunications

    • University of New South Wales, Australia (2010) – Computer Science and Engineering

    • Massey University, New Zealand (2011) – School of Engineering and Advanced Technology

    • Istanbul Technical University, Turkey (2023–2024) – Electronics and Communication Engineering

  • M.Sc. in Software Engineering
    Belarusian National Technical University, 2003

    • Thesis: Mathematical and Software Optimization of Models of Power Equipment Operations

  • B.Sc. in Computer Engineering
    Technical University of Moldova, 2000

    • Graduation Project: Device for Transcendent Functions Calculation

Professional Experience 💼

  • Current Position:

    • Full Professor & Assistant Dean for Administrative Affairs
      Prince Sattam bin Abdulaziz University, Saudi Arabia

  • Previous Academic Roles:

    • University of Calgary, Canada – Postdoctoral Researcher & Faculty Developer

    • The University of Jordan – Faculty Member, Systems and Information Technology

    • Al-Balqa Applied University, Jordan – Faculty Member, Department of IT

    • Yarmouk University – Instructor, Computer and Information Centre

    • AL-Hussein Bin Talal University – Faculty Member, Engineering & IT

    • Jadara University – Faculty, Department of Software Engineering

    • Kazakh University of Economics, Finance, and International Trade – Online Course Lecturer

  • Other Roles:

    • Designed accredited computer engineering and IT courses

    • Conducted workshops on scientific writing and research methodology

    • Editorial and scientific committee member for numerous international journals and conferences

Research Interests 🔬

  • Wireless Networking and Telecom Systems

  • Modeling of Discrete and Polymorphous Systems

  • Computer Systems and Networks

  • Artificial Intelligence & Data Science

  • Machine Learning & Deep Learning

  • Vision Computing and Digital Image Processing

  • Cybersecurity and Information/Economic Security

  • Agent-Based and Context-Aware Software Engineering

  • E-Government and E-Learning Applications

  • Location-Based Services (LBS) and Geo Services

  • Knowledge Representation and Reasoning

  • Optimization and Real-Time Systems

  • Web and Java Development, Databases

Awards and Honors🏆✨

  • Higher Distinction Scientific Awards – From International Universities

  • Certificate of Appreciation – Ministry of Youth and Sport, Jordan (1999)

  • Faculty Teaching Certificate (FTC) – University of Calgary, Canada (2008)

  • Care Services Certificates – University of Calgary (2008)

  • IT Management Professional Award – Microsoft, Excellent Train, Jordan (2011)

  • Staff Development Certificate – University of Jordan (2012)

  • Life Ambassador First Aid Training Certificate – Riyadh

  • Certificate of English Language (CEL) – AMIDEAST, Jordan

  • Certificate of Russian & Romanian Languages – TUM, BNTU, BSUIR

Conclusion🌟

Prof. Dr. Yousef Daradkeh is a visionary academic leader and prolific researcher who has made significant contributions to the fields of computer engineering, software systems, and emerging technologies. His work continues to bridge theoretical advancements with practical applications, particularly in improving security, efficiency, and intelligence in digital systems. Through his extensive teaching, research, international collaborations, and service to the academic community, Prof. Daradkeh remains a highly influential figure in engineering education and innovation.

Publications 📚

  • 📡 6G mobile communication technology: Requirements, targets, applications, challenges, advantages, and opportunities
    🧾 Alexandria Engineering Journal 64, 245-274
    👥 Cited by: 360 | 📅 Year: 2023

  • 🧠 A hybrid deep learning-based approach for brain tumor classification
    🧾 Electronics 11 (7), 1146
    👥 Cited by: 248 | 📅 Year: 2022

  • 🚗 Key challenges, drivers and solutions for mobility management in 5G networks: A survey
    🧾 IEEE Access 8, 172534-172552
    👥 Cited by: 180 | 📅 Year: 2020

  • 🔍 Tools for fast metric data search in structural methods for image classification
    🧾 IEEE Access 10, 124738-124746
    👥 Cited by: 104 | 📅 Year: 2022

  • 🎗️ Intelligent hybrid deep learning model for breast cancer detection
    🧾 Electronics 11 (17), 2767
    👥 Cited by: 101 | 📅 Year: 2022

  • 🤖 Development of effective methods for structural image recognition using fuzzy logic
    🧾 IEEE Access 9, 13417-13428
    👥 Cited by: 98 | 📅 Year: 2021

  • 📷 Methods of classification of images based on statistical distributions
    🧾 IEEE Access 9, 92964-92973
    👥 Cited by: 90 | 📅 Year: 2021

  • ✈️ Handover management of drones in future mobile networks: 6G technologies
    🧾 IEEE Access 9, 12803-12823
    👥 Cited by: 89 | 📅 Year: 2021

  • 🧱 Classification of Images Based on a System of Hierarchical Features
    🧾 Computers, Materials & Continua 72 (1)
    👥 Cited by: 83 | 📅 Year: 2022

  • 🔧 Handover parameters optimisation techniques in 5G networks
    🧾 Sensors 21 (15), 5202
    👥 Cited by: 71 | 📅 Year: 2021