Wei Lu | Renewable Energy Technologies | Best Researcher Award

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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 šŸŽ“

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 Masterā€™s and Bachelorā€™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

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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 DETECƇƃO E CLASSIFICAƇƃO DE ALTERAƇƕES 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