Krishna Pavan Inala | Smart Grids | Best Researcher Award

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Assist. Prof. Dr. Krishna Pavan Inala | Smart Grids | Best Researcher Award

Assistant Professor at BV Raju Institute of Technology | India

Dr. Krishna Pavan Inala is an accomplished researcher specializing in communication networks for smart grids, electric vehicle integration, and intelligent energy management systems. His research advances focus on Vehicle-to-Grid (V2G) communication, distributed grid voltage stability, communication-system impacts on power networks, and machine-learning-based load forecasting. He has published impactful journal articles in leading venues such as IEEE Systems Journal, IEEE Transactions on Industrial Informatics, IET Power Electronics, and the International Journal of Ambient Energy. His research output is well-recognized, with 103 citations, an h-index of 5, and an i10-index of 2 (with 100 citations, h-index 5, and i10-index 2 since 2020). His conference and book-chapter contributions, presented in prominent IEEE conferences and Springer proceedings, span optimal load prediction using machine learning, AI and IoT applications in smart-grid security, deep learning for household demand forecasting, and the role of communication networks in V2G environments. His expertise includes MATLAB, Python, communication-network simulators, and advanced data-analytics tools, enabling him to develop and evaluate innovative solutions for smart-grid communication reliability, predictive modeling, and energy optimization. In teaching and mentoring roles, he integrates concepts from communication engineering, artificial intelligence, and power systems to guide student research and project development. Dr. Inala’s research vision emphasizes building intelligent, secure, and resilient smart-grid infrastructures through robust communication frameworks, AI-driven forecasting, and sustainable energy technologies, contributing significantly to the evolution of next-generation smart electric systems.

Profile: Google Scholar

Featured Publications

1. Sah, B., Kumar, P., Rayudu, R., Bose, S. K., & Inala, K. P. (2018). Impact of sampling in the operation of vehicle to grid and its mitigation. IEEE Transactions on Industrial Informatics, 15(7), 3923–3933.

2. Inala, K. P., Sah, B., Kumar, P., & Bose, S. K. (2020). Impact of V2G communication on grid node voltage at charging station in a smart grid scenario. IEEE Systems Journal, 15(3), 3749–3758.

3. Inala, K. P., Kumar, P., & Bose, S. K. (2019). Impact of communication systems on grid node voltage and operation of a vehicle-to-grid controller in a smart-grid scenario. IET Power Electronics, 12(13), 3499–3509.

4. Inala, K. P., & Thirugnanam, K. (2022). Role of communication networks on vehicle-to-grid (V2G) system in a smart grid environment. In Proceedings of the 2022 4th International Conference on Energy, Power and Environment (ICEPE) (pp. 1–5). IEEE.

5. Manojkumar, R., & Inala, K. P. (2024). Optimised rule-based peak shaving and its impact on annual energy cost reduction. International Journal of Ambient Energy, 45(1), 2397672.

Mutiu Shola | Electrical Engineering | Best Researcher Award

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Dr. Mutiu Shola | Electrical Engineering | Best Researcher Award

Kampala International University, Uganda

Dr. Bakare Mutiu Shola is a dedicated academic and researcher in the field of Electrical and Electronics Engineering. He holds a Ph.D. from Kampala International University, Uganda, an M.Eng. from the University of Ilorin, Nigeria, and a B.Eng. from the Federal University of Technology, Minna. His expertise spans renewable energy, smart grids, load forecasting, high-voltage technology, artificial intelligence, and power systems. With a rich background in both industry and academia, Dr. Bakare has contributed significantly through high-impact research publications in top-tier journals and active teaching roles in higher institutions.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Electrical and Electronics Engineering
    Kampala International University, Uganda (2022 – 2025)

  • Master of Engineering (M.Eng.) in Electrical and Electronics Engineering
    University of Ilorin, Nigeria (2017 – 2021)

  • Bachelor of Engineering (B.Eng.) in Electrical and Computer Engineering
    Federal University of Technology, Minna, Nigeria (2008 – 2014)
    Graduated with Second Class Upper Division

Professional Experience 💼

  • Assistant Lecturer
    Department of Electrical and Electronics Engineering, Kampala International University, Uganda
    (2022 – Present)
    Courses taught include Power Electronics, Power Quality Management, Circuit Theory, and Electrical Installation & Maintenance.

  • Research Assistant
    Advanced Power and Green Energy Research Group (APGER), University of Ilorin, Nigeria
    (2019 – 2022)

  • Physics & Mathematics Tutor
    Government Day Secondary School, Nigeria
    (2018 – 2019)

  • Site Engineer
    Thamar Engineering Company Ltd, Nigeria
    (2015 – 2018)
    Responsibilities included transformer installation, lighting, and generator setup.

Research Interests 🔬

  • Renewable Energy Systems

  • Energy Management

  • Load Forecasting

  • Smart Grid Technologies

  • Electrical Power System Optimization

  • Artificial Intelligence Applications in Power Systems

Awards and Honors🏆✨

  • Multiple Q1 and Q2-ranked journal publications in high-impact engineering journals such as Scientific Reports, Results in Engineering, Energy Reports, and Energy Conversion and Management: X.

  • Active participation in IEEE academic workshops and international conferences such as ICASSP 2020.

Conclusion🌟

Dr. Bakare Mutiu Shola is a rising scholar in electrical engineering with a strong background in both practical engineering and academic research. His consistent record of publications, academic service, and technical expertise in emerging power systems reflects his commitment to driving innovation in sustainable and intelligent energy solutions. With a future-focused mindset, Dr. Bakare is poised to make continued contributions to both academia and the global energy sector.

Publications 📚

  • 🧠 Comparative Evaluation of Different Fuzzy Tuning Rules on Energy Management Systems Cost Savings
    Ibrahim, O., Bakare, M. S., et al.
    📝 Results in Engineering (2025) – Q1 Journal

  • ☀️ Revolutionizing Solar Power: Enhancing Solar Power Efficiency with Hybrid GEP-ANFIS MPPT under Dynamic Weather Conditions
    Bakare, M. S., Abdulkarim, A., et al.
    📝 Scientific Reports (2025) – Q1 Journal

  • ⚙️ Energy Management Controllers: Strategies, Coordination, and Applications
    Bakare, M. S., Abdulkarim, A., et al.
    📝 Energy Informatics 7(1), 57 (2024) – Q2 Journal

  • 🔋 Predictive Energy Control for Grid-Connected Industrial PV-Battery Systems using GEP-ANFIS
    Bakare, M. S., Abdulkarim, A., et al.
    📝 e-Prime – Advances in Electrical Engineering, Electronics and Energy (2024) – Q1 Journal

  • 📈 A Hybrid Long-Term Industrial Electrical Load Forecasting Model Using Optimized ANFIS with Gene Expression Programming
    Bakare, M. S., Abdulkarim, A., et al.
    📝 Energy Reports 11, 5831–5844 (2024) – Q2 Journal

  • 💡 A Comprehensive Overview on Demand Side Energy Management Towards Smart Grids: Challenges, Solutions, and Future Direction
    Bakare, M. S., Abdulkarim, A., et al.
    📝 Energy Informatics 6(1), 1–59 (2023) – Q2 Journal

  • 🔧 Development of Fuzzy Logic-Based Demand-Side Energy Management System for Hybrid Energy Sources
    Ibrahim, O., Bakare, M. S., et al.
    📝 Energy Conversion and Management: X (2023) – Q1 Journal

  • 🔄 Simulation-Based Testing and Performance Investigation of Induction Motor Drives using MATLAB Simulink
    Makinde, K. A., Bakare, M. S., et al.
    📝 SN Applied Sciences 5(3), 73 (2023) – Q2 Journal

  • 🔍 Performance Evaluation of Different Membership Functions in Fuzzy Logic-Based Short-Term Load Forecasting
    Ibrahim, O., Bakare, M. S., et al.
    📝 Pertanika Journal of Science and Technology (2020) – Q3 Journal

 

 

 

Xiaorui Yang | Robotics and Automation | Best Researcher Award

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Assoc. Prof. Dr. Xiaorui Yang | Robotics and Automation | Best Researcher Award

Hebei University of Science and Technology, China

Dr. Yang Xiaorui is an Associate Professor and Master’s Supervisor in the field of Electrical Engineering at Hebei University of Science and Technology. With a strong background in engineering electromagnetics and magnetic technology, Dr. Yang has significantly contributed to research on nano magnetic fluids, digital twin modeling, and their applications in energy harvesting, vibration damping, positioning systems, and biomedical engineering. She has authored multiple peer-reviewed papers in SCI and EI-indexed journals and has actively led and participated in several national and provincial research projects.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Electrical Engineering, Hebei University of Technology, 2018

Professional Experience 💼

  • Associate Professor, Hebei University of Science and Technology

  • Master’s Supervisor, Department of Electrical Engineering

  • Leading and participating in national and provincial scientific research projects focused on magnetic fluids and electromagnetic applications.

Research Interests 🔬

  • Engineering Electromagnetic Fields

  • Nano Magnetic Liquid Technology

  • Digital Twin Technology for Power Equipment

  • Energy Harvesting Technologies

  • Magnetic Fluid Applications in:

    • Friction-based power generation systems

    • Vibration damping and shock absorption

    • Precision positioning systems

    • Tumor hyperthermia treatments

    • Multi-physics field coupling and simulation modeling

Major Research Projects

  1. NSFC Youth Project (52307010) – Research on energy transfer in magnetic liquid friction-electromagnetic composite systems (2024–2026) – Project Leader

  2. Hebei Provincial NSF Youth Project (E2020208039) – Friction nano electromagnetic vibration energy harvesting using magnetic liquid (2020–2022) – Project Leader

  3. NSFC General Project (51877066) – Tuned liquid damping method using magnetic liquid for wind power towers (2019–2022) – Fourth participant

  4. Hebei Provincial NSF General Project (E2015202241) – Experimental research on magnetic liquid damping shock absorbers (2015–2017) – Third contributor

Awards and Honors🏆✨

  • Recipient of National Natural Science Foundation of China Youth Project Grant

  • Recipient of Hebei Provincial Natural Science Foundation Youth Project Grant

  • Recognized for significant contributions to multiphysics modeling and magnetic fluid applications in both academic and industrial settings.

Conclusion🌟

Dr. Yang Xiaorui is a dynamic and innovative researcher in the field of electrical engineering, particularly known for her pioneering work on nano magnetic fluids and electromagnetic energy systems. Her work bridges theoretical modeling, simulation, and experimental validation, pushing the boundaries of electromagnetic applications in sustainable energy, smart equipment, and medical technologies. With a growing number of high-impact publications and successful project leadership, she continues to advance cutting-edge research and mentor the next generation of engineers and scientists.

Publications 📚

  1. 🔋 “Output Characteristics of an Electromagnetic-Triboelectric Hybrid Energy Harvester Based on Magnetic Liquid”
    👩‍🔬 Yang Xiaorui, Zheng Hao, Shao Jinlong, Zhang Yan, Chen Ying
    📰 ACS Applied Electronic Materials, 2023, 5(2): 775–783
    📌 Indexed in SCI ✅

  2. 🌊 “Effect of Magnetic Field on Output Performance of Magnetic Liquid Vibration Energy Harvester”
    👩‍🔬 Yang Xiaorui, Chen Ying, Zhang Yan, Yang Wenrong
    📰 COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2023, 42(1): 38–47
    📌 Indexed in SCI ✅

  3. ⚡ “Study on Mechanical-Electrical Coupling Mechanism of Magnetic Liquid Triboelectric-Electromagnetic Composite Energy Harvester”
    👩‍🔬 Yang Xiaorui, Zheng Hao, Long Hui, An Guoqing, Yang Wenrong
    📰 Proceedings of the CSEE, 2024, 44(11): 4406–4417
    📌 Indexed in EI 📈

  4. 🎯 “A Tuned Triboelectric Nanogenerator Using a Magnetic Liquid for Low-Frequency Vibration Energy Harvesting”
    👩‍🔬 X. R. Yang, H. Zheng, H. B. Ren, et al.
    📰 Nanoscale, 2024, 16(4): 1915–1923
    📌 Indexed in SCI ✅

  5. 🛰️ “Analysis of Adjustable Magnetic Fluid Damper in DC Magnetic Field for Spacecraft Applications”
    👩‍🔬 Xiaorui Yang, Qingxin Yang, Wenrong Yang, Bing Guo, Lifei Chen
    📰 IEEE Transactions on Applied Superconductivity, 2018, 28(3): 0602305
    📌 Indexed in SCI ✅

  6. 🛠️ “Damping Analysis and Experimental Study of Piston-Type Magnetic Liquid Shock Absorber”
    👩‍🔬 Yang Xiaorui, Yang Qingxin, Guo Bing, Chen Lifei, Yang Wenrong
    📰 Journal of Instrumentation, 2017, 38(8): 2071–2077
    📌 Indexed in EI 📈

  7. 🧲 “Magnetic Field Design and Temperature Distribution Study of Magnetic Fluid Tumor Hyperthermia”
    👩‍🔬 Yang Xiaorui, Yang Wenrong, Yang Qingxin, Liu Dan
    📰 Functional Materials, 2017, 48(10): 10089–10093
    📌 Indexed in SCI ✅

 

 

 

Mihir Parekh | Machine Learning | Best Researcher Award

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Mr. Mihir Parekh | Machine Learning | Best Researcher Award

Research Scholar at Nirma University, India

Mihir Parekh is a passionate and dynamic cybersecurity enthusiast with a strong foundation in computer science, data analytics, and secure system design. With a proven track record of combining machine learning, blockchain, and cybersecurity for impactful solutions, he brings a multidisciplinary approach to solving complex technological challenges. Mihir has demonstrated excellence in both academic and industrial settings, contributing to innovative research in secure systems and earning accolades through peer-reviewed publications.

Publication Profile 

Google Scholar

Educational Background 🎓

  • M.Tech in Computer Science and Engineering (Cyber Security)
    Nirma University, Ahmedabad
    08/2022 – 06/2024 | CGPA: 9.21
    Focus: Cybersecurity, Blockchain, Data Analysis, Machine Learning

  • Bachelor of Engineering in Information Technology
    G.H. Patel College of Engineering and Technology, Vallabh Vidyanagar
    07/2018 – 05/2022 | CGPA: 8.22

Professional Experience 💼

  • Data Analyst
    Contrado Imaging India Pvt. Ltd., Ahmedabad
    06/2023 – 10/2023

    • Performed data cleaning and preprocessing using Python.

    • Developed SQL queries to fetch and analyze data.

    • Used Kibana and Elasticsearch for data visualization.

  • Business Process Analyst
    Kevit Technologies, Rajkot
    12/2021 – 07/2022

    • Designed chatbot workflows and managed client-specific SRS and change requests.

    • Handled software testing, project planning, and requirement gathering for custom chatbot solutions.

Research Interests 🔬

  • Cybersecurity and Digital Forensics

  • Blockchain Applications and Cryptographic Protocols

  • Machine Learning and Deep Learning

  • Federated Learning & Secure Data Sharing

  • Anomaly Detection and Fraud Prevention

  • Secure Industrial IoT Systems

Awards and Honors🏆✨

  • 🏆 Published Journal Paper:
    Blockchain Forensics to Prevent Cryptocurrency Scams
    Computers & Electrical Engineering (Impact Factor: 5.5)

  • 🏆 Conference Presentation:
    Federated Learning-based Secure Data Dissemination Framework for IIoT Systems
    IEEE ICBDS 2024

  • 🏆 Journal Publication:
    Decentralized Data-Driven Analytical Framework for Ship Fuel Oil Consumption
    Ain Shams Engineering Journal

  • 🎖️ Infineon Hackathon Finalist – AES-128 Cryptanalysis Challenge

Conclusion🌟

Mihir Parekh exemplifies the qualities of a modern-day technologist with a passion for innovation, research, and real-world problem solving. His academic rigor, hands-on experience in cybersecurity and AI, and commitment to continuous learning position him as a promising contributor to the field of secure intelligent systems. Eager to collaborate and make an impact, Mihir is actively seeking opportunities that align with his vision of building secure, intelligent, and efficient digital ecosystems.

Publications 📚

📘 Parekh, M., Jadav, N. K., Tanwar, S., Pau, G., Alqahtani, F., & Tolba, A. (2025). ANN and blockchain-orchestrated decentralized data-driven analytical framework for ship fuel oil consumption. Applied Ocean Research, 158, 104553.
🔗 https://doi.org/10.xxxxx/aor.2025.104553
📊 Keywords: Artificial Neural Networks, Blockchain, Maritime Fuel Analytics

📕 Parekh, M., Jadav, N. K., Pathak, L., Tanwar, S., & Yamsani, N. (2024). Federated Learning-based Secure Data Dissemination Framework for IIoT Systems Underlying 5G. In 2024 IEEE International Conference on Blockchain and Distributed Systems (pp. xx–xx). IEEE.
📡 Keywords: Federated Learning, 5G, IIoT, Cybersecurity
📍 Conference Paper

📄 Parekh, M. (2024). Decentralized Data-Driven Analytical Framework for Ship Fuel Oil Consumption. Institute of Technology.
🏛️ Institutional publication / Thesis
🌐 Focus: Data Analytics, Maritime Efficiency

Elsadig Musa Ahmed | Digital Technology Adoption | Best Researcher Award

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Prof. Dr. Elsadig Musa Ahmed | Digital Technology Adoption | Best Researcher Award

Professor at Multimedia University, Malaysia

Professor Elsadig Musa Ahmed Mohammed is an accomplished academic in Development Economics, currently a Professor at Multimedia University, Melaka, Malaysia. With over 20 years of teaching, research, and administrative experience, he specializes in economics, productivity analysis, and sustainability. He has extensively published in his field and contributed significantly to academia through teaching, supervision, and international collaborations.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Development Economics (2005) – Universiti Putra Malaysia.
    Thesis: Impact of Air and Water Pollutant Emissions on Malaysia’s Manufacturing Sector Productivity Growth.
  • M.Sc. in Development Economics (1998) – Universiti Putra Malaysia.
    Thesis: Productivity and Performance of Malaysian Food Manufacturing Industry.
  • B.Sc. in Agricultural Economics (1992) – University of Al-Azhar, Cairo, Egypt.

Professional Experience 💼

  • Professor (2015–Present) – Multimedia University, Malaysia.
    • Teaching Economics and Business courses (undergraduate and postgraduate).
    • Supervising Ph.D., DBA, and MBA students.
  • Associate Professor (2010–2015) – Multimedia University, Malaysia.
  • Senior Lecturer (2008–2010) – Multimedia University, Malaysia.
  • Lecturer (2004–2008) – Multimedia University, Malaysia.
  • Research Assistant (1998) – Universiti Putra Malaysia.
  • Storekeeper (1985–1988) – Kenana Sugar Company, Sudan.

Research Interests 🔬

  • Development economics.
  • Productivity analysis (technological progress and technology transfer).
  • Digital and knowledge-based economy.
  • Green productivity and environmental economics.
  • Tourism and economic growth.
  • Microfinance and bioeconomy.

Awards and Honors🏆✨

  • Recognized as a leading researcher in the fields of digital inclusion and sustainable development, reflected in his editorial work on the book Developing Digital Inclusion Through Globalization and Digitalization (2024).
  • Reviewer and assessor for academic promotions and research grants under the Malaysian Ministry of Higher Education.
  • Senate member and ethics committee member at Multimedia University (2015–2021).

Conclusion🌟

Professor Elsadig Musa Ahmed Mohammed is a distinguished scholar and educator with a robust background in development economics and productivity analysis. His work integrates economics with technology, sustainability, and digitalization, showcasing his commitment to addressing global economic challenges. He continues to mentor future scholars and lead impactful research projects that shape the future of economic development.

Publications 📚

  1. Palestinian small and medium enterprises digital technology adoption intention
    • 📝 Mujahed, H.M.H., Ahmed, E.M., Samikon, S.A.
    • 🗓️ Journal of Open Innovation: Technology, Market, and Complexity, 2024, 10(4), 100426

  2. Enhancing environmental quality and economic growth through potential effects of energy efficiency and renewable energy in Asian economies

    • 📝 Ahmed, E.M., Elfaki, K.E.
    • 🗓️ Scientific Reports, 2024, 14(1), 22914

  3. Testing technological Kuznets curve implications on achieving sustainable development goal 10 in seven Asian countries

    • 📝 Elfaki, K.E., Ahmed, E.M.
    • 🗓️ Technological Forecasting and Social Change, 2024, 209, 123785

  4. Globalization and financial development contributions toward economic growth in Sudan

    • 📝 Eltayeb Elfaki, K., Musa Ahmed, E.
    • 🗓️ Research in Globalization, 2024, 9, 100246

  5. Big Data Analytics Implications on Central Banking Green Technological Progress

    • 📝 Ahmed, E.M.
    • 🗓️ International Journal of Information Technology and Decision Making, 2024, 23(5), pp. 2065–2087

  6. Green Technological Progress Implications on Long-Run Sustainable Economic Growth

    • 📝 Ahmed, E.M., Elfaki, K.E.
    • 🗓️ Journal of the Knowledge Economy, 2024, 15(2), pp. 6860–6877

  7. Digital technology adoption and globalization innovation implications on Asian Pacific green sustainable economic growth

    • 📝 Elfaki, K.E., Ahmed, E.M.
    • 🗓️ Journal of Open Innovation: Technology, Market, and Complexity, 2024, 10(1), 100221

  8. Factors determining employee engagement role in Malaysian private higher educational institutions

    • 📝 Yusof, A., Ahmed, E.M., Said, A.-M.A.
    • 🗓️ International Journal of Learning and Intellectual Capital, 2024, 21(3), pp. 253–274

  9. Mediating effect of risk management practices in Iraqi private banks financial performance

    • 📝 Mahmood, N.S., Ahmed, E.M.
    • 🗓️ Journal of Financial Services Marketing, 2023, 28(2), pp. 358–377 

  10. A revision of the sustainable development goals in light of the digital revolution, innovation and climate change integration, global conflicts, pandemics and disasters

    • 📝 Ahmed, E.M.
    • 🗓️ World Sustainable Development Outlook, 2024, 22, pp. 17–41