NICKO MAGNAYE | Energy | Outstanding Scientist Award | 13511

Prof. NICKO MAGNAYE | Energy | Outstanding Scientist Award 

Prof. NICKO MAGNAYE, Mindoro State University, Philippines

Prof. Nicko A. Magnaye, MSIT, is an Assistant Professor at the College of Computer Studies, Mindoro State University, Philippines. With a Master’s in Information Technology from Rizal Technological University and doctoral studies at the Technological Institute of the Philippines, his research focuses on applying IT to agriculture, education, energy, and local industries. He has authored 17 research publications and led projects on AI-driven fruit grading, pest detection, e-commerce for farmers, and ICT tools for rural development, showcasing his dedication to socially impactful and technology-driven innovation.

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Prof. Nicko A. Magnaye’s journey into the world of information technology began with a solid foundation in the Philippines’ education system. He earned his Bachelor’s degree in Information Technology from Mindoro State University, where he developed a strong interest in the practical applications of computing technologies in real-world environments. Driven by a passion to deepen his knowledge, he pursued a Master of Science in Information Technology at Rizal Technological University between 2015 and 2019. During his postgraduate studies, Prof. Magnaye focused on the intersection of software systems and their utility in solving community-based challenges.

Currently, he is advancing his academic credentials by undertaking Doctor of Information Technology studies at the Technological Institute of the Philippines, further cementing his expertise in IT and its applications across diverse sectors.

💼 Professional Endeavors

As an Assistant Professor at the College of Computer Studies at Mindoro State University, Prof. Magnaye plays a vital role in shaping the next generation of IT professionals. His teaching extends beyond theoretical concepts, emphasizing practical skills in computer programming, artificial intelligence (AI), mobile development, cybersecurity, and cloud computing. His instructional style combines innovation and social relevance, encouraging students to explore how technology can be used to solve local and global problems.

In parallel with his academic responsibilities, Prof. Magnaye actively contributes to institutional digital transformation and research capacity-building, often collaborating with other academic and industry stakeholders. His role is not limited to the classroom — he serves as a mentor, research adviser, and technology advocate within and beyond the university.

🧪 Contributions and Research Focus

With 17 research publications to his name, Prof. Magnaye’s work is marked by a deep commitment to technological solutions for grassroots issues. His research spans several interdisciplinary domains, with core themes including:

  • AI-powered agriculture: Developing intelligent systems such as fruit grading tools and disease detection applications for banana farming.

  • ICT in farming and rural development: Creating e-commerce platforms for furniture makers and rice farmers, and introducing monitoring tools for poultry and electricity usage.

  • Digital inclusion and social good: Building systems that support senior citizens and enhancing cybersecurity awareness in public sectors.

His efforts are firmly anchored in community-responsive innovation, often involving collaboration with local farmers, small businesses, and institutions seeking digital empowerment.

🏅 Accolades and Recognition

While specific national or international awards have not been listed publicly, Prof. Magnaye’s work has earned him widespread recognition within academic and local innovation circles. His successful research projects, many of which are deployed or tested in real-life settings, speak volumes about his effectiveness and value as a community-centered technologist.

Moreover, his initiatives have gained visibility in conferences, university exhibitions, and collaborative events, where they are praised for addressing real-world challenges through scalable digital solutions.

🌱 Impact and Influence

Prof. Magnaye’s influence reaches far beyond the academic arena. His research and systems development projects have had measurable impact in:

  • Local agricultural communities by optimizing crop quality and yield through AI.

  • Small and medium enterprises (SMEs) by streamlining their operations using custom-built platforms.

  • Public service through IT awareness and digital security education in government institutions.

  • Education by incorporating cutting-edge technologies into the curriculum and providing students with hands-on, impactful projects.

His commitment to technological empowerment for underserved communities continues to inspire other researchers, educators, and local leaders who seek inclusive digital transformation.

🧭 Legacy and Future Contributions

Looking ahead, Prof. Magnaye is poised to leave a lasting legacy as a champion of socially relevant digital innovation in the Philippines. His ongoing doctoral studies will further sharpen his research acumen, equipping him to tackle more complex problems through interdisciplinary strategies. He is also expected to contribute to policy development, academic leadership, and broader national ICT frameworks that support agriculture, education, and sustainability.

In the years to come, his focus may expand to include smart technologies, data analytics, and IoT for environmental monitoring, resource management, and enhanced public service delivery.

His long-term vision reflects a commitment to bridging the digital divide, enabling rural and low-resource settings to benefit from the same technological advancements seen in urban centers. Prof. Magnaye is not just building systems — he is shaping a future where technology is accessible, equitable, and transformative for all.

✍️ Publication Top Notes


📘 Artificial intelligence (AI) on learning process

Author: SK Sopera, JS Alaban, Z Briones, NA Magnaye
Journal: Integrative Research
Year: 2023

📘 A case study of Windows 11 operating system for inexperienced users
Author: NA Magnaye
Journal: Intelligent Control and System Engineering
Year: 2023

📘E-Trading Application for Rice Farmers Using Waterfall Model Development: Basis for ICT Adoption by Filipino Farmers

Author: NA Magnaye
Journal: ISAR Journal of Economics and Business Management
Year: 2023

Wei Lu | Renewable Energy Technologies | Best Researcher Award

Prof Dr. Wei Lu | Renewable Energy Technologies | Best Researcher Award

Professor at Guangxi University, China.

Wei Lu is a distinguished Full Professor of energy and power engineering at Guangxi University, recognized for his expertise in renewable energy, energy system analysis, and optimization. He holds a B.S. in heat engineering, an M.S. in engineering thermophysics from South China University of Technology, and a Ph.D. in engineering thermophysics from Tianjin University. Wei Lu’s career includes a postdoctoral fellowship at Tsinghua University and accreditation as a Registered Utility Engineer by Chinese government departments. His research focuses on carbon dioxide capture, utilization, and storage, alongside innovations in thermodynamics and fluid mechanics. With over 131 publications, 24 patents, and leadership in numerous research projects, he remains dedicated to advancing engineering solutions and education.

Professional Profiles:

Education 🎓

Wei Lu is a Full Professor of energy and power engineering at Guangxi University. He earned his B.S. in heat engineering and M.S. in engineering thermophysics from South China University of Technology, followed by a Ph.D. in engineering thermophysics from Tianjin University. With a background as a postdoctoral fellow at Tsinghua University, he holds credentials as a Registered Utility Engineer accredited by Chinese government departments. His research focuses on renewable energy, energy system analysis and optimization, carbon dioxide capture, utilization and storage, and advancements in engineering education.

Professional Experience

Wei Lu has a distinguished professional trajectory marked by significant contributions in academia and research. Currently serving as a Full Professor of energy and power engineering at Guangxi University, he brings extensive expertise to his role. Wei Lu’s career began with a postdoctoral fellowship at Tsinghua University, where he further honed his skills in energy systems and engineering. He has actively engaged in consultancy and industry-sponsored projects, totaling 36 collaborations, showcasing his practical insights and application of theoretical knowledge. His professional journey underscores his commitment to advancing renewable energy technologies, optimizing energy systems, and pioneering solutions in carbon dioxide capture and storage.

Research Interest

Wei Lu’s research interests span across several critical areas in energy and engineering. He is particularly focused on renewable energy, aiming to enhance efficiency and sustainability in power generation. His expertise extends to energy system analysis and optimization, where he explores methods to improve the performance and reliability of energy systems. Additionally, Wei Lu is actively involved in research related to carbon dioxide capture, utilization, and storage (CCUS), addressing crucial environmental challenges through innovative engineering solutions. His research also encompasses engineering education, aiming to cultivate future generations of engineers equipped with the knowledge and skills necessary to tackle global energy issues effectively.

Award and Honors

Wei Lu has accumulated numerous awards and honors throughout his illustrious career. He was granted honorary admission to the PhD program for his outstanding academic achievements and has consistently ranked at the top in both Master’s and Bachelor’s programs for his exceptional academic performance. His participation and high placement in collegiate scientific olympiads have further underscored his proficiency in computer engineering. Wei Lu’s recognition as a Registered Utility Engineer by Chinese government departments highlights his expertise in energy engineering. His contributions to renewable energy, energy system analysis, and carbon dioxide capture have been widely acknowledged, solidifying his reputation as a leader in these critical research areas.

Research Skills

Wei Lu possesses a robust set of research skills honed through his extensive academic and professional journey. His expertise spans across thermodynamics, fluid mechanics and machinery, gas separation, renewable energy, and carbon dioxide capture, utilization, and storage. He has developed innovative approaches in optimal design theory for ejectors and novel methods utilizing thermal transpiration effect for applications in hydrogen storage and transportation. Wei Lu’s proficiency extends to conducting comprehensive energy system analysis and optimization, contributing significantly to advancements in engineering education. His research skills are underscored by his prolific publication record, extensive project involvement, and leadership in collaborative research initiatives with international engineers.

Publications

  1. Engineering a photothermal responsive cellulose carbon capture material for solar-driven CO2 desorption
    • Authors: Luo, W., Lu, W., Xiang, Q., Xu, C., He, H.
    • Year: 2024
  2. The Comprehensive Influence of the Nozzle Distance and Throat Length of Mixing Chamber on the Performance of Ejector
    • Authors: Tan, L., Chen, H., Ge, J., Lu, W.
    • Year: 2024
  3. Energy Efficiency Analysis of Multistage Knudsen Vacuum Pump
    • Authors: Ke, J., Meng, S., Su, X., Lu, W.
    • Year: 2024
  4. Effect of membrane thermal conductivity on ion current rectification in conical nanochannels under asymmetric temperature
    • Authors: Qiao, N., Li, Z., Zhang, Z., Lu, W., Li, C.
    • Year: 2023
    • Citations: 2
  5. Ion current rectification in asymmetric nanochannels: effects of nanochannel shape and surface charge
    • Authors: Qiao, N., Zhang, Z., Liu, Z., Lu, W., Li, C.
    • Year: 2023
    • Citations: 6
  6. Analysis on influencing factors and improvement of thermal efficiency of bagasse boilers based on performance test data
    • Authors: Mo, Q., Zhu, X., Deng, C., Chen, X., Lin, X.
    • Year: 2023
    • Citations: 6
  7. Influence of graphite/alumina on co-pyrolysis of Chlorella vulgaris and polypropylene for producing bio-oil
    • Authors: Chen, C., Zhao, J., Wei, Y., Bi, Y., Qiu, H.
    • Year: 2023
    • Citations: 3
  8. Tailoring and properties of a novel solar energy-triggered regenerative bionic fiber adsorbent for CO2 capture
    • Authors: Lu, W., Shi, X., Zhou, H., Wang, L., He, H.
    • Year: 2022
    • Citations: 13
  9. Analysis of Flow Rate and Pressure Characteristics for Multistage Thermal Transpiration Based Vacuum Pump
    • Authors: Qin, R., Meng, S., Wang, B., Lu, W.
    • Year: 2022
    • Citations: 1
  10. Modelling, Optimization, and Experimental Studies of Refrigeration CO2 Ejectors: A Review
    • Authors: Zheng, L., Zhang, Y., Hao, L., Deng, J., Lu, W.
    • Year: 2022
    • Citations: 2

 

 

Pramod Patil | Smart Electricity Grid | Best Researcher Award

Dr. Pramod Patil | Smart Electricity Grid | Best Researcher Award

Dean at Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India.

Dr. Pramod D. Patil, a seasoned academician and researcher, holds a Ph.D. in Computer Engineering from the Government College of Engineering, Pune. With over 22 years of experience, he currently serves as the Professor and Dean of Research and Development at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, and as the Dean of the Faculty of Science and Technology at Savitribai Phule Pune University. Dr. Patil’s research interests span machine learning, data security, blockchain applications, and smart grid technology. He has supervised numerous Ph.D., undergraduate, and postgraduate projects and has an extensive publication record in esteemed conferences and journals. Recognized for his contributions to teaching, research, and administration, Dr. Patil is a life member of the Indian Society for Technical Education (ISTE) and actively participates in professional societies like the Computer Society of India (CSI) and the Association of Computing Machinery (ACM).

Professional Profiles:

Education

Dr. Pramod Patil holds a Ph.D. in Computer Engineering from Govt. College of Engineering, Pune, which he completed in 2015. Prior to his doctoral studies, he obtained his M.E. in Computer Engineering from the same institution in 2002 and his B.E. in Computer Science and Engineering from S.G.G.S. College of Engineering and Technology, Nanded, in 2000. With over 22 years of experience in academics, research, and administration, Dr. Patil currently serves as a Professor and Dean of Research and Development at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune. Additionally, he holds the position of Dean of the Faculty of Science and Technology at Savitribai Phule Pune University. Dr. Patil is dedicated to contributing to the advancement of outcome-based education systems across the nation.

Professional Experience

Dr. Pramod Patil has amassed extensive professional experience over more than two decades. He has been associated with Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, since November 2001, where he has held various academic and administrative roles. Beginning as a Lecturer, he progressed to Assistant Professor, Associate Professor, and eventually assumed the position of Professor, which he has held since January 2016. Dr. Patil has also taken on significant administrative responsibilities, serving as Dean of Research and Development, Principal, Vice Principal, and Head of the Computer Engineering Department. Notably, he has been actively involved in accreditation processes at both the institute and university levels, ensuring compliance with standards set by organizations such as NBA, NAAC, and NIRF. Additionally, Dr. Patil has contributed to the assessment of other institutes and served on various committees related to faculty selection, course development, and research center establishment.

Research Interest

Dr. Pramod Patil’s research interests span several domains within computer engineering and related fields. He is particularly focused on cutting-edge areas such as machine learning in smart electricity grids, concept drift data stream mining, data security and privacy, and blockchain applications in the medical sector. His expertise also extends to topics like databases, management information systems, mobile applications, multimedia streaming, and more. Dr. Patil’s research pursuits aim to address contemporary challenges and explore innovative solutions to advance technology and enhance societal well-being.

Award and Honors

Dr. Pramod Patil has been honored for his exceptional contributions to academia and research. Notable accolades include recognition for his outstanding academics and paper publications by the Chairman of Dr. D.Y. Patil Unitech Society, Pune. Additionally, he received the Best Paper Award at the National Conference on Mobile Computing and Networking and the IEEE Conference on Energy Systems and Applications in 2015. His paper on Multimedia Content Security Enhancement also earned him recognition at the International Conference on Parallel and Distributed Computing. Furthermore, Dr. Patil has been commended for his significant contributions to teaching and learning by the Principal of Dr. D.Y. Patil Institute of Engineering and Technology, Pune. These accolades underscore Dr. Patil’s commitment to excellence in computer engineering and research.

Research Skills

Dr. Pramod Patil possesses advanced research skills honed over years of academic and professional experience. His expertise spans various domains, including machine learning in smart electricity grids, mining concept drift data streams, data security and privacy, and blockchain applications in the medical field. With a robust understanding of research methodologies and techniques, Dr. Patil has guided numerous Ph.D., undergraduate, and postgraduate projects across diverse areas such as databases, management information systems, machine learning, data mining, security, mobile applications, and multimedia streaming. His research skills are evident in his prolific publication record, with numerous papers published in Scopus/Web of Science indexed conferences and journals, as well as non-indexed conferences and journals. Additionally, Dr. Patil has contributed to the development of patented technologies and copyrighted materials, further demonstrating his innovative research capabilities.

Publications

  1. CNN-AdaBoost based hybrid model for electricity theft detection in smart grid
    • Authors: S. Nirmal, P. Patil, J.R.R. Kumar
    • Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
    • Year: 2024
    • Citations: 1
  2. FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Multimedia Tools and Applications
    • Year: 2024
    • Citations: 0
  3. Breast Cancer Detection Using Transfer Learning
    • Authors: J.P. Kshirsagar, B. Phulpagar, P. Patil
    • Journal: International Journal of Intelligent Systems and Applications in Engineering
    • Year: 2024
    • Citations: 0
  4. CAC-WOA: context aware clustering with whale optimization algorithm for knowledge discovery from multidimensional space in electricity application
    • Authors: P.G. Ahire, P.D. Patil
    • Journal: Cluster Computing
    • Year: 2024
    • Citations: 0
  5. BiLSTM CLASSIFIER MODEL FOR LAND COVER CHANGE DETECTION AND CLASSIFICATION | MODELO CLASSIFICADOR BiLSTM PARA DETECÇÃO E CLASSIFICAÇÃO DE ALTERAÇÕES DA COBERTURA DE TERRENOS
    • Authors: P. Surana, B. Phulpagar, P. Patil
    • Journal: Revista de Gestao Social e Ambiental
    • Year: 2024
    • Citations: 0
  6. Quantum Cryptography for Secure Autonomous Vehicle Networks: A Review
    • Authors: T. Pradhan, P. Patil
    • Conference: 2024 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024
    • Year: 2024
    • Citations: 0
  7. IRBM: Incremental Restricted Boltzmann Machines for Concept Drift Detection and Adaption in Evolving Data Streams
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Communications in Computer and Information Science
    • Year: 2024
    • Citations: 0
  8. CDA-PDDWE: Concept Drift-Aware Performance-Based Diversified Dynamic Weighted Ensemble for Non-stationary Environments
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Arabian Journal for Science and Engineering
    • Year: 2024 (Article in Press)
    • Citations: 0
  9. Recent Methods on Medical Image Inpainting and Multi-task Learning Using Deep Learning Models
    • Authors: P. Rakibe, P.D. Patil
    • Conference: Smart Innovation, Systems and Technologies
    • Year: 2024
    • Citations: 0
  10. Efficient approximation and privacy preservation algorithms for real time online evolving data streams
    • Authors: R.A. Patil, P.D. Patil
    • Journal: World Wide Web
    • Year: 2024
    • Citations: 1