Prof. Niranjan Nayak | Green microgrid Award | Best Researcher Award

Posted on by ScienceFather

Prof. Niranjan Nayak | Green microgrid Award | Best Researcher Award 

Prof. Niranjan Nayak, Siksha ‘O’ Anusandhan, Bhubaneswar, INDIA

Prof. (Dr.) Niranjan Nayak is a distinguished academic and researcher with extensive expertise in Electrical and Electronics Engineering. He earned his B.Tech in Engineering from the Institution of Engineers, Kolkata, in 1992, followed by a Master’s degree from University College of Engineering (now Vir Surendra Sai University of Technology) in 2003, and a Ph.D. from Siksha ‘O’ Anusandhan University in 2015. Currently, Dr. Nayak serves as a Professor at Siksha ‘O’ Anusandhan University, India, where his research interests include energy management, energy storage and conversion, microgrid control, renewable energy, optimal control, electric vehicles (EV), evolutionary computing, and machine learning. With over 100 publications in renowned journals and international conferences, Dr. Nayak has made significant contributions to his field. He has also edited three major conference proceedings and chaired international conferences, including AECSS-2019 and APSIT-2021 and 2023. As a dedicated member of IEEE, IE, IET, and ISTE, he actively reviews for various international journals under prestigious publishers such as IEEE and Elsevier. Dr. Nayak’s work continues to advance innovation in electrical and electronics engineering.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Prof. (Dr.) Niranjan Nayak is a highly accomplished academic and researcher, making him a strong contender for the Best Researcher Award. His extensive academic journey, starting with his B.Tech from the Institution of Engineers, Kolkata, followed by a Master’s degree from University College of Engineering, and culminating in a Ph.D. from Siksha ‘O’ Anusandhan (Deemed to be University), reflects a solid foundation in Electrical and Electronics Engineering.

Education:

  • B.Tech in Engineering from the Institution of Engineers, Kolkata, India, in 1992.
  • Master’s degree from University College of Engineering (UCE), currently known as Vir Surendra Sai University of Technology (VSUT), in 2003.
  • Ph.D. degree from Siksha ‘O’ Anusandhan deemed to be university, India, in 2015.

Work Experience:

  • Professor in the Department of Electrical & Electronics Engineering, Faculty of Engineering, Siksha ‘O’ Anusandhan deemed to be university, India.
    • Has authored and co-authored around 100 journals and international conference papers.
    • Current research interests include energy management, energy storage & conversion, microgrid control, renewable energy, optimal control, electric vehicles (EV), evolutionary computing, and machine learning.
    • Edited three conference proceedings: AECSS-2019, APSIT-2021, and APSIT-2023.
    • Served as the General Chair of the 1st International Conference on Advances in Electrical Control and Signal System (AECSS-2019), and also for Advances in Electrical Power, Signal & Information Technology (APSIT-2021 and APSIT-2023).
    • Reviewer for several international journals under IEEE, Elsevier, and other publishers.
    • Member of IEEE, IE, IET, and ISTE.

Publication top Notes:

A new representation learning based maximum power operation towards improved energy management integration with DG controllers for photovoltaic generators using online deep exponentially expanded RVFLN algorithm

“Communicating Glove” for Specially and Differently Abled Person Using Arduino-Based IOT

Improvement of Power and Energy Disturbances in AC Micro Grid Using Discrete Wavelet Based Extended Neural Network

Forest Fire identification: Harnessing Internet of Things (IoT) and Artificial Intelligence

A state-of-art review on 2D material-boosted metal oxide nanoparticle electrodes: Supercapacitor applications

Prof. Dr. Yuh-Chung Hu | Actuators | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Yuh-Chung Hu | Actuators | Best Researcher Award

Prof. Dr. Yuh-Chung Hu, National ILan University, Taiwan

Dr. Yuh-Chung Hu is a distinguished professor in the Department of Mechanical and Electromechanical Engineering at National Ilan University, Taiwan. He has dedicated over two decades to advancing mechanical engineering, specializing in vibrations, acoustics, and smart manufacturing systems. His innovative research integrates machine learning and advanced instrumentation, enhancing industrial applications. With a strong focus on interdisciplinary collaboration, Dr. Hu has authored numerous publications and contributed to various projects in the field. He is committed to fostering the next generation of engineers through mentorship and leadership roles within the academic community. His ongoing research aims to push the boundaries of technology in renewable energy integration, making significant strides in sustainable engineering practices.

Professional Profile

Orcid

Summary of Suitability for the Award

Dr. Yuh-Chung Hu is a distinguished academic and researcher in the field of Mechanical and Electromechanical Engineering at National Ilan University, Taiwan. His extensive educational background, including a Ph.D. in Mechanical Engineering, provides a solid foundation for his research endeavors. His career trajectory demonstrates a commitment to academic excellence, having held significant leadership positions such as Dean of the Office of Research and Development and Department Head.

🎓 Education

Dr. Yuh-Chung Hu earned his Ph.D. in Mechanical Engineering from National Taiwan University of Science and Technology in June 1999, with a dissertation on vibration theory for sandwich shells with a viscoelastic core. Prior to that, he obtained his Master of Engineering (M.E.) degree in the same field in June 1993, focusing on the effects of tire treads on vibration transmission in automobiles. His academic journey began with a Bachelor of Engineering (B.E.) in Mechanical Engineering from Chung Yuan Christian University in June 1991. Throughout his educational career, Dr. Hu studied under the guidance of esteemed mentors, including Prof. Shyh-Chin Huang, who played a crucial role in shaping his research interests and academic pursuits.

💼 Experience

Since February 2010, Dr. Hu has served as a professor at National Ilan University, where he has significantly influenced the field of mechanical and electromechanical engineering. He held leadership positions, including Dean of the Office of Research and Development from August 2015 to July 2016 and Department Head from August 2011 to July 2015. Prior to his tenure at National Ilan University, he served in various capacities at Huafan University, where he was involved in establishing and enhancing the Mechatronic Engineering department. Dr. Hu’s extensive experience encompasses a post-doctoral research role at the Institute of Applied Mechanics at National Taiwan University, allowing him to deepen his expertise in applied mechanics. His multifaceted career reflects a commitment to research, teaching, and institutional development.

🏅Awards and Honors

Dr. Yuh-Chung Hu has received numerous accolades throughout his academic career, recognizing his contributions to mechanical engineering and research. His achievements include prestigious awards from both national and international organizations, reflecting his influence in the engineering community. Notably, his innovative research has earned him recognition in multiple conferences and journals, highlighting his role in advancing knowledge in vibrations, machine learning, and renewable energy integration. His commitment to excellence in research and teaching has established him as a respected figure in his field, inspiring students and colleagues alike. Dr. Hu’s work not only contributes to academic advancement but also impacts industry practices through his applied research initiatives.

🌍 Research Focus

Dr. Hu’s research interests lie at the intersection of mechanical engineering and emerging technologies. His focus includes industrial instruments, smart machinery, machine learning applications, and micro-electro-mechanical systems (MEMS). He is particularly interested in developing thermal dispersion flowmeters and Coriolis mass flowmeters, which play crucial roles in various industrial processes. Additionally, his research delves into vibrations and acoustics, aiming to enhance the performance of mechanical systems. Through interdisciplinary collaborations, Dr. Hu explores innovative solutions to current challenges in engineering, with a dedicated emphasis on renewable energy integration, promoting sustainable practices in engineering applications. His work continues to pave the way for advancements in smart manufacturing and instrumentation.

📖 Publication Top Notes

Title: Computational Intelligence in Cancer Diagnostics: A Contemporary Review of Smart Phone Apps, Current Problems, and Future Research Potentials
Title: Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future Research Directions
Title: AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions
Title: A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks
Title: A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems

Georgios Kalogeropoulos | Remote Sensing | Best Researcher Award

Posted on by ScienceFather

Dr. Georgios Kalogeropoulos | Remote Sensing | Best Researcher Award

Doctor at Democritus University of Thrace, Greece

Kalogeropoulos Georgios, a dedicated Environmental Engineer from Greece, specializes in addressing urban environmental challenges. He earned his Doctorate from the Democritus University of Thrace, focusing on the Urban Heat Island Effect. A proficient researcher, he has authored multiple influential publications and is actively engaged in academic lectures. His work combines advanced digital modeling and sustainable practices, aiming to improve urban living conditions.

Profile:

Scopus Profile

Strengths for the Award:

  1. Advanced Education:
    • Completed a Doctorate in Environmental Engineering with a thesis focused on the Urban Heat Island Effect, demonstrating high-level research capabilities.
    • Achieved excellent grades throughout his educational journey, indicating strong academic performance.
  2. Research Contributions:
    • Authored multiple articles in reputable journals, contributing significantly to the field of environmental engineering.
    • Research on urban heat islands and thermal comfort assessment highlights relevance to current environmental challenges.
  3. International Experience:
    • Participation in the Erasmus+ program at Politecnico di Milano showcases adaptability and a commitment to broadening his academic and cultural horizons.
  4. Teaching and Mentoring:
    • Involvement in lecturing at the university level demonstrates his ability to communicate complex topics effectively and contribute to the academic development of students.
  5. Technical Skills:
    • Proficient in various advanced software tools for energy analysis, microclimatic simulations, and geographic information systems, equipping him to conduct comprehensive and detailed research.
  6. Collaborative Research:
    • Collaborated with other researchers on projects, reflecting his ability to work well within teams and contribute to interdisciplinary efforts.

Areas for Improvement:

  1. Broader Outreach:
    • Expanding visibility through conferences, workshops, or public forums could enhance recognition of his work and foster wider engagement with the community.
  2. Diversity of Research Topics:
    • Exploring a broader range of research topics within environmental engineering could diversify his portfolio and increase impact in various domains.
  3. Networking:
    • Building connections with researchers in complementary fields could open new avenues for collaboration and innovation.

Education:

Georgios completed his Doctorate in Environmental Engineering in 2024, with a thesis on the Urban Heat Island Effect, achieving an “Excellent” grade. He holds a Master’s degree in Environmental Engineering and Science from the same university, where he also excelled with his thesis on thermal comfort in outdoor spaces. His academic journey began with a Bachelor’s in Environmental Science from the University of Aegean, further solidifying his foundation in environmental studies.

Experience:

With extensive teaching experience, Georgios has lectured on Sustainable Urban Environments and Simulation Models at the Democritus University of Thrace from 2019 to present. He participated in international programs, including Erasmus+ at Politecnico di Milano. Additionally, his involvement in innovative projects on solar energy and building integration showcases his practical application of academic knowledge, emphasizing his commitment to sustainable urban solutions.

Research Focus:

Georgios’s research centers on urban environmental issues, particularly the Urban Heat Island Effect and thermal comfort. Utilizing advanced digital models and simulations, he investigates the interplay between urban design and environmental conditions. His work aims to develop sustainable solutions for urban settings, enhancing livability and reducing energy consumption. Through interdisciplinary collaboration, he strives to contribute to effective environmental policies and practices.

Publication Top Notes:

  • Remote Sensing and Field Measurements for the Analysis of the Thermal Environment in the “Bosco Verticale” Area in Milan City 🌍
  • Urban Heat Island and Thermal Comfort Assessment in a Medium-Sized Mediterranean City ☀️
  • Cellular Automata on FPGA for Real-Time Urban Traffic Signals Control 🚦

Conclusion:

Kalogeropoulos Georgios exhibits numerous strengths that position him as a strong candidate for the Best Researcher Award. His rigorous academic background, impactful research contributions, and commitment to teaching underscore his dedication to the field of environmental engineering. While there are areas for potential improvement, particularly in outreach and networking, his existing capabilities and achievements strongly advocate for his recognition as a leading researcher.

Prof. Dr.Ergin TARI | nautical | Best Researcher Award

Posted on by ScienceFather

Prof. Dr.Ergin TARI | nautical | Best Researcher Award

Prof. Dr.Ergin TARI, Istanbul Technical University, Turkey

Ergin Tarı is a distinguished academic and researcher in the field of Geodesy and Photogrammetry. He graduated from the Geodesy and Photogrammetry Department of Istanbul Technical University (ITU) in 1988. With extensive experience in GPS data processing and geographic information systems, he has significantly contributed to disaster management initiatives since 1999. Dr. Tarı has collaborated with various institutions, including a notable stint as a visiting scientist at the Massachusetts Institute of Technology’s Earth Resources Laboratory. His leadership in GPS projects, particularly along the North Anatolian Fault, has advanced our understanding of geospatial dynamics in seismic regions. With a passion for integrating technology into practical applications, Dr. Tarı continues to drive research that addresses critical challenges in geodesy and disaster management, making him a key figure in the field.

Professional Profile

orcid

Suitability for the Best Researcher Award: Ergin Tarı

Ergin Tarı’s extensive academic and research background makes him a strong candidate for the Best Researcher Award. His educational credentials include a B.Sc., M.Sc., and Ph.D. from Istanbul Technical University (ITU) in Geodesy and Photogrammetry, indicating a solid foundation in his field. His experience as a visiting scientist at the Massachusetts Institute of Technology (MIT) highlights his capability and the recognition of his expertise on an international level.

🎓 Education 

Ergin Tarı earned his Bachelor of Science degree in Geodesy and Photogrammetry from Istanbul Technical University (ITU) in 1988. His academic journey continued at ITU, where he pursued his Master of Science degree, obtaining it in 1991, followed by a Ph.D. in Geodesy and Photogrammetry in 1997. His doctoral research focused on innovative methodologies in GPS data processing, laying a solid foundation for his future endeavors. As a visiting scientist at the Massachusetts Institute of Technology (MIT), Tarı expanded his knowledge and skills in Earth Resources, contributing to significant projects in GPS technology. His educational background is complemented by numerous workshops and conferences in geodesy, disaster management, and GIS, where he has both presented and collaborated with international researchers. Through his strong educational foundation, Dr. Tarı has become a leading expert in his field, continuously advancing the integration of geospatial technologies in practical applications.

 💼 Experience 

Dr. Ergin Tarı has accumulated extensive experience in the fields of Geodesy and Photogrammetry, with a particular focus on GPS data processing and geographic information systems (GIS). Since 1999, he has been actively involved in disaster management projects, collaborating with various governmental and non-governmental organizations. His work has led to the successful implementation of GPS technology in assessing and monitoring seismic activities along the North Anatolian Fault, contributing to better disaster preparedness and response strategies. As a researcher, Dr. Tarı has played a crucial role in leading multidisciplinary teams, enhancing the integration of geospatial data in various applications. His affiliation with prestigious institutions, such as the Massachusetts Institute of Technology, has further solidified his expertise. Through his leadership and collaboration on various projects, Dr. Tarı has made significant strides in the application of geodesy to real-world challenges, influencing both academic and practical advancements in the field.

 🏅 Awards and Honors 

Throughout his career, Dr. Ergin Tarı has received numerous awards and honors in recognition of his significant contributions to the fields of Geodesy and Photogrammetry. Notably, he was awarded the “Best Researcher” accolade by Istanbul Technical University, acknowledging his innovative work in GPS data processing and disaster management. His collaborative projects, particularly those related to the North Anatolian Fault, have garnered attention, leading to several prestigious grants from both national and international agencies. Additionally, Dr. Tarı has been invited to serve on various academic committees and panels, further affirming his expertise and influence in the field. His commitment to advancing geospatial technologies has also earned him recognition from professional organizations, where he has been honored as a distinguished member for his service and contributions. Through these accolades, Dr. Tarı continues to inspire future generations of researchers and practitioners in the geospatial sciences.

 🌍 Research Focus 

Dr. Ergin Tarı’s research focuses on the integration of Geodesy, Photogrammetry, and Geographic Information Systems (GIS) to address critical challenges in disaster management and environmental monitoring. His expertise in GPS data processing enables him to analyze geospatial data effectively, contributing to the understanding of seismic activities, particularly along the North Anatolian Fault. Dr. Tarı’s work emphasizes the application of geospatial technologies in real-world scenarios, enhancing disaster preparedness and response strategies. His collaborative projects often explore innovative methodologies for integrating remote sensing data with GIS to create comprehensive models for disaster risk assessment and mitigation. Furthermore, Dr. Tarı is actively involved in promoting the use of geospatial technologies for sustainable development, with research initiatives aimed at optimizing resource management and environmental protection. By bridging the gap between theory and practice, Dr. Tarı’s research contributes significantly to advancing knowledge in geospatial sciences and its applications in societal challenges.

  📖 Publication Top Notes

AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory
Performance Evaluation of GPS Trajectory Rasterization Methods
Kinematics of the Sea of Marmara using GPS, InSAR and underwater geodetic data: Possible Influence of Crustal Heterogeneity
GNSSpy: Python Toolkit for GNSS Data
The 2014, M<sub>W</sub> 6.9 North Aegean earthquake: Seismic and geodetic evidence for coseismic slip on persistent asperities

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Posted on by ScienceFather

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Dr. Zhan Chen, Northwestern Polytechnical University, China

Chen Zhan is a dedicated Doctoral Student at the Unmanned System Research Institute of Northwestern Polytechnical University in Xi’an, China. With a strong background in Mechatronic Engineering, he is committed to advancing the field of intelligent unmanned systems. His research emphasizes multi-agent consistency, information fusion, and UAV formation control. Chen is actively involved in innovative projects that explore state estimation and planning control, contributing significantly to the evolving landscape of autonomous technologies. With a passion for collaboration and cutting-edge research, Chen is poised to make impactful contributions to the realm of unmanned systems, making him a promising figure in the scientific community.

Professional Profile 

orcid

Summary of Suitability for the Award

Chen Zhan’s impressive academic credentials, relevant research experience, and notable contributions to the field of unmanned systems make him a suitable candidate for the Best Researcher Award. His work addresses significant challenges in UAV technology and showcases a commitment to advancing the field through innovative research. Granting him this award would not only recognize his individual efforts but also encourage continued exploration and advancement in unmanned systems research.

 🎓 Education 

Chen Zhan earned his Bachelor of Science degree in Mechatronic Engineering from Tianjin University of Science and Technology in 2018. He is currently pursuing his Ph.D. in intelligent unmanned systems science and technology at Northwestern Polytechnical University, where he is deepening his understanding of advanced technologies in autonomous systems. His academic journey has equipped him with a solid foundation in engineering principles and practical applications. Chen’s education combines theoretical knowledge with hands-on experience, enabling him to approach complex problems with innovative solutions. His commitment to academic excellence and research in unmanned systems sets a strong precedent for his future contributions to the field.

 💼 Experience 

As a Doctoral Student at the Unmanned System Research Institute, Chen Zhan has engaged in various research projects focusing on multi-agent systems and UAV technologies. His work includes developing algorithms for state estimation and guidance in unmanned aerial vehicles. In addition to his research, he collaborates with peers and mentors, contributing to academic conferences and publications that advance knowledge in the field. Chen’s experience in both individual and collaborative projects has strengthened his skills in information fusion, planning control, and game guidance. His practical experiences complement his academic background, making him well-prepared to tackle challenges in intelligent unmanned systems.

 🏅 Awards and Honors 

Chen Zhan has received recognition for his contributions to the field of unmanned systems and robotics. His innovative research on distributed information filtering methods for state estimation has garnered attention at academic conferences, leading to publications in reputable journals. Chen’s commitment to excellence has also earned him scholarships and grants to support his studies and research initiatives. His proactive approach to learning and collaboration with established researchers enhances his visibility within the academic community, paving the way for future accolades and recognition. As he progresses in his career, Chen is poised to achieve further honors that reflect his dedication and impact in the field.

 🌍 Research Focus 

Chen Zhan’s research focuses on intelligent unmanned systems, with specific interests in multi-agent consistency, information fusion, and UAV formation control. His work aims to develop robust algorithms that improve state estimation and planning control in complex environments. By exploring game guidance and multi-aircraft coordination, Chen seeks to enhance the performance and reliability of unmanned systems in various applications. His dedication to advancing knowledge in these areas is evident in his active participation in research projects and conferences. Through innovative methodologies, Chen aims to contribute to the next generation of intelligent systems, fostering advancements in autonomous technologies.

Publication Top Notes

Layout of Detection Array Based on Multi-Strategy Fusion Improved Adaptive Mayfly Algorithm in Bearing-Only Sensor Network
Distributed Cubature Information Filtering Method for State Estimation in Bearing-Only Sensor Network

 

Assoc. Prof. Dr. Mariana Kasynets | Energy reduction Awards | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. Mariana Kasynets | Energy reduction Awards | Best Researcher Award

Assoc. Prof. Dr. Mariana Kasynets, Lviv Polytechnic National University, Ukraine

Mariana Kasynets is an Associate Professor in the Department of Heat and Gas Supply and Ventilation at Lviv Polytechnic National University in Ukraine. Born on September 24, 1987, in Lviv, she holds a Ph.D. and has over 12 years of experience in academia. A graduate of Lviv Polytechnic Institute in 2009, Dr. Kasynets has made notable contributions to her field, authoring a total of 70 scientific works, including 24 articles indexed in the Scopus database, with a Hirsch Index of H=8. Her research efforts focus on advancing knowledge in heat and gas supply systems.

Professional Profile:

Orcid

Suitability for the Research for Best Researcher Awards: Mariana Kasynets

Summary of Suitability

Mariana Kasynets is an exemplary candidate for the Research for Best Researcher Awards. Her extensive publication record, innovative research focus on ventilation and energy efficiency, and commitment to education and mentorship distinguish her as a leader in her field. Recognizing her with this award would not only honor her contributions but also encourage further advancements in sustainable building technologies, ultimately benefiting society by promoting healthier and more efficient living environments.

🎓Education:

In 2009, Mariana Kasynets graduated from Lviv Polytechnic Institute, earning a degree in higher education. She later pursued her Ph.D., specializing in areas related to heat and gas supply.

🏢Work Experience:

Mariana Kasynets has over 12 years of work experience and currently serves as an Associate Professor in the Department of Heat and Gas Supply and Ventilation at Lviv Polytechnic National University in Ukraine.

🏅Awards and Recognition:

Mariana Kasynets has authored a total of 70 scientific works, including 24 articles indexed in the Scopus database, demonstrating her significant contributions to her field. Her research impact is further reflected in her Hirsch Index of H=8.

Publication Top Notes:

  • Increasing the Efficiency of the Residential Buildings Premises Natural Ventilation
  • The Influence of the Interaction of Opposing Non-coaxial Round Jets on the Leakage Velocity Uniformity of the Resulting Air Flow
  • Enhancing of Efficiency of Solar Panels Combined with Buildings Coating
  • Mathematical Modeling of an Air Flow Leakage with the Jets Interaction at the Variable Mode

 

 

 

Dhanvanthkumar Gude | Smart Waste Management | Best Researcher Award

Posted on by ScienceFather

Mr.Dhanvanthkumar Gude| Smart Waste Management | Best Researcher Award

Student at  Chandigarh University,India 

A dedicated Computer Science Engineering student specializing in Artificial Intelligence (AI) and Machine Learning (ML), this individual combines a strong academic background with hands-on experience. With a GPA of 8.38/10 from Chandigarh University, they excel in AI principles, algorithms, and statistical modeling. Proficient in programming languages like Python and C++, they have successfully collaborated on various AI projects. Their internships have involved designing deep learning models for sarcasm detection and sentiment analysis, showcasing their ability to apply theoretical knowledge to practical problems. A proactive learner, they are passionate about advancing AI technologies and contributing to innovative solutions in real-world scenarios.

Profile:

Google Scholar

Strengths for the Award:

  1. Specialized Knowledge: The candidate has a solid academic foundation in Computer Science, specializing in Artificial Intelligence (AI) and Machine Learning (ML), which aligns perfectly with current research trends in these fields.
  2. Practical Experience: The internships and projects demonstrate hands-on experience in applying AI and ML techniques, particularly in natural language processing (NLP) and deep learning, showcasing the ability to translate theoretical knowledge into practical applications.
  3. Research Contributions: The publication in a reputable journal highlights the candidate’s capability to contribute to the body of knowledge in sustainable urban sanitation, integrating machine learning with environmental science.
  4. Collaboration and Communication Skills: The experience in team settings, as noted in various projects and internships, indicates effective collaboration and communication skills, essential for successful research endeavors.
  5. Diverse Technical Skills: Proficiency in multiple programming languages, databases, and data science tools provides a versatile skill set that enhances the candidate’s research capabilities.

Areas for Improvement:

  1. Broaden Research Focus: While the candidate has strong skills in AI and ML, expanding the research focus to include interdisciplinary applications or emerging technologies could enhance their profile.
  2. Increase Publication Count: Engaging in more research projects and aiming for additional publications could strengthen their candidacy, showcasing a consistent contribution to the research community.
  3. Networking and Collaboration: Building connections with industry professionals and participating in more conferences could provide opportunities for collaboration and exposure to cutting-edge research.
  4. Leadership Roles: Taking on leadership roles in academic projects or student organizations could demonstrate initiative and the ability to guide research teams effectively.

Education:

Currently pursuing a Bachelor’s degree in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning at Chandigarh University, the candidate has achieved a GPA of 8.38/10. Their academic journey began at Vignan High School, where they graduated with a commendable 97.8%. Following this, they completed their Pre-University education at Chaitanya Junior College, scoring 97.2%. The curriculum at Chandigarh University includes comprehensive courses in AI principles, algorithms, and data structures, providing a solid foundation for their specialization. The candidate actively engages in research and projects, enhancing their knowledge and skills in AI and ML. This educational background, coupled with relevant certifications in cloud infrastructure and generative AI, equips them to make significant contributions to the field.

Experience:

The candidate has accumulated valuable experience through various internships, significantly enhancing their expertise in AI and ML. As an AI Intern at Infosys Springboard, they developed a deep learning model for sarcasm detection in Reddit comments, utilizing technologies like NLP and Python. At AI4ALL, they worked as an AI and Prompt Engineer, contributing to research projects that included data analysis on AI usage across India, chatbot development, and AI-based weather monitoring systems. Their internship at Edunet Foundation involved creating a sentiment analysis model for restaurant reviews, further honing their skills in NLP and machine learning. Each role has provided practical experience in applying AI principles and collaborating effectively within teams, making the candidate well-prepared for future challenges in the technology landscape.

Research Focus:

The candidate’s research focus lies primarily in the intersection of Artificial Intelligence and real-world applications, particularly in sustainability and natural language processing. They are deeply interested in leveraging machine learning techniques to address complex challenges, such as urban sanitation and waste management. Their recent publication, “Transforming Urban Sanitation: Enhancing Sustainability through Machine Learning-Driven Waste Processing,” reflects this commitment, showcasing how AI can be integrated into environmental solutions. Additionally, they have worked on projects involving sarcasm detection and sentiment analysis, further exploring the capabilities of NLP in understanding human communication. The candidate aims to expand their research to include broader applications of AI and machine learning, such as smart waste management systems and other innovative solutions that contribute to societal advancement.

Publication Top Notes:

  • Transforming Urban Sanitation: Enhancing Sustainability through Machine Learning-Driven Waste Processing 🌍

Conclusion:

The candidate is well-positioned for the Best Researcher Award due to their specialized knowledge, practical experience, and notable contributions to AI and ML research. By addressing the areas for improvement, such as expanding their research focus and increasing publication output, they can further enhance their profile. Overall, the combination of skills, experience, and dedication to advancing AI technologies makes them a strong contender for the award.

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Posted on by ScienceFather

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Dr. Rituraj Patwal, Women Institute of Technology, India

Dr. Rituraj Singh Patwal, born on December 13, 1990, in Haldwani, Uttarakhand, India, is a specialist in Power System Optimization and Renewable Energy Systems. He holds a Ph.D. in Power System Optimization from Thapar Institute of Engineering and Technology, Patiala, where his thesis focused on “Optimal Generation Scheduling of Pumped Storage Hydrothermal Systems with Solar and Wind Energy Sources.” He also completed his M.Tech. in Power Systems from Thapar University and earned his B.Tech. in Electrical Engineering from Dehradun Institute of Technology. Dr. Patwal’s research interests include sustainable energy systems, optimization algorithms, generation scheduling, and renewable energy sources. He has over 9 months of experience as an Assistant Professor at GRD-IMT Dehradun, and has held similar roles at institutions like Meerut Institute of Technology and Thapar Institute of Engineering and Technology. His teaching portfolio includes subjects such as Basic Electrical Engineering, Network Analysis and Synthesis, and Industrial Internet of Things.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Rituraj Singh Patwal is highly suitable for the “Best Researcher Award” in his field based on his robust academic and research credentials. His work in Power System Optimization and Renewable Energy Systems highlights his expertise in areas critical to the energy sector, such as sustainable energy systems, optimization algorithms, generation scheduling, and the integration of renewable energy sources like solar and wind.

Education:

  1. Ph.D. in Power System Optimization
    • Institution: Thapar University
    • Year: 2021
    • Thesis Title: “Optimal Generation Scheduling of Pumped Storage Hydrothermal System with Solar and Wind Energy Sources”
    • Percentage (Course Work): 83%
  2. M.Tech. in Power System
    • Institution: Thapar University
    • Year: 2016
    • Percentage: 76%
  3. B.Tech. in Electrical Engineering
    • Institution: Dehradun Institute of Technology
    • Year: 2012
    • Percentage: 72%
  4. Intermediate (Science)
    • Board: CBSE
    • Year: 2008
    • Percentage: 83%
  5. High School (Science)
    • Board: CBSE
    • Year: 2006
    • Percentage: 86.2%

Work Experience:

  1. Assistant Professor
    • Institution: GRD-IMT, Dehradun
    • Duration: August 2024 – Present (9 months)
  2. Assistant Professor
    • Institution: Meerut Institute of Technology
    • Duration: November 2022 – July 2023 (8 months)
  3. Assistant Professor
    • Institution: Meerut Institute of Engineering and Technology
    • Duration: March 2021 – October 2022 (1 year 8 months)
  4. Lecturer (NT)
    • Institution: Thapar Institute of Engineering and Technology, Patiala
    • Duration: January 2018 – December 2020 (3 years)
  5. Shift Engineer
    • Company: Birla Tyres
    • Duration: July 2012 – April 2013 (10 months)

Publication top Notes:

 

Optimal generation scheduling of pumped storage hydro-thermal system with wind energy sources

Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach

Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units

Optimal Economic Emission Scheduling of Integrated Energy Systems Using Heuristic Optimization Technique

A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units

Heuristic optimization technique for hydrothermal scheduling considering pumped storage unit

Assoc Prof Dr. Jiahao Wang | Adaptation Award | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Jiahao Wang | Adaptation Award | Best Researcher Award 

Assoc Prof Dr. Jiahao Wang, University of Electronic Science and Technology of China, China

Dr. Jiahao Wang is an Associate Professor at the School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC) in Chengdu. He holds a Ph.D. in Computer Engineering, a Master’s in Computer System Architecture, and a Bachelor’s in Computer Science and Engineering, all from UESTC. He is a member of IEEE, the China Computer Federation (CCF), and several expert committees including the Chengdu Big Data Industry Alliance and Sichuan Health Information Society. Dr. Wang’s work experience includes postdoctoral research at the E-Business Technology Institute, University of Hong Kong, and a visiting scholarship at the Illinois Institute of Technology, USA. He has also served as Deputy Secretary General of Ya’an City and Deputy Director of the Ya’an Economic Development Zone, and currently, he is the Dean of Suining Digital Economy Research Institute.

Professional Profile:

Education Background:

  • 2003/9 – 2007/6: Ph.D. in Computer Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China.
  • 2001/9 – 2004/3: Master’s in Computer System Architecture, University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China.
  • 1997/9 – 2001/7: Bachelor’s in Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China.

Work Experience:

  • 2007.7 – 2010.7: Lecturer, School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
  • 2007.10 – 2009.10: Postdoctoral Associate Researcher, E-Business Technology Institute, University of Hong Kong, Hong Kong.
  • 2013.12 – 2014.12: Visiting Scholar, Department of Computer Science, Illinois Institute of Technology, USA.
  • 2015.8 – 2016.3: Researcher, China Cybersecurity Review Technology and Certification Center.
  • 2018.8 – 2019.8: Deputy Secretary General of Ya’an Government and Deputy Director of Ya’an Economic Development Zone.
  • 2010.8 – Present: Associate Professor, School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
  • 2022.1 – Present: Dean, Suining Digital Economy Research Institute, Suining, China.

Publication top Notes:

Meta-learning Based on Multi-objective Optimization

Transfer Learning for Indoor Localization Algorithm Based on Deep Domain Adaptation

 

Mr. Giancarlo Marulli | Mitigation Award | Best Researcher Award

Posted on by ScienceFather

Mr. Giancarlo Marulli | Mitigation Award | Best Researcher Award 

Mr. Giancarlo Marulli, Faculdade de Engenharia da Universidade do Porto (FEUP), Portugal

Giancarlo Badini Marulli is currently pursuing a Doctorate in Civil Engineering at the Faculdade de Engenharia da Universidade do Porto (FEUP), where he has been a student since 2023. He began his academic journey in Agricultural Engineering at the Faculdade de Ciências Agronômicas, Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP) in Botucatu, Brazil, in 2016. During his time at UNESP, he developed skills in AutoCAD, Microsoft Excel, and the R programming language. From 2017 to 2018, he conducted undergraduate research in Statistical Modeling under the guidance of Dr. Luzia Aparecida Trinca, supported by a PIBIC scholarship from CNPq.

Professional Profile:

Summary of Suitability for Best Researcher Award

Giancarlo Badini Marulli appears to be a strong candidate for the Best Researcher Award based on his extensive background in Civil Engineering and his active involvement in research and development. His academic journey, which began with a focus on Agricultural Engineering and transitioned into Civil Engineering, demonstrates a deep commitment to interdisciplinary knowledge and technical expertise.

Education:

  1. Faculdade de Engenharia, Universidade do Porto
    • Doctoral Program in Civil Engineering
    • Dates: September 11, 2023 – Present
    • Degree: Doutoramento em Engenharia Civil
  2. Faculdade de Engenharia, Universidade do Porto
    • Master’s in Civil Engineering
    • Dates: October 4, 2021 – July 28, 2023
    • Degree: Mestrado em Engenharia Civil
    • Dissertation Area: Structural Dynamics (Tunned Liquid Mass Damping Systems – TLD)
  3. Faculdade de Engenharia, Universidade do Porto
    • Bachelor’s in Engineering Sciences, specialization in Civil Engineering
    • Dates: September 17, 2018 – July 2, 2021
    • Degree: Licenciatura Ciências de Engenharia, orientação em Engenharia Civil
  4. Faculdade de Ciências Agronômicas (FCA), Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP), Botucatu, SP, Brazil
    • Agricultural Engineering Course
    • Dates: 2016
    • During this period, he became familiar with AutoCAD, Microsoft Excel, and the R programming language. He also conducted an undergraduate research project in Statistics and Probability (Statistical Modeling) under the guidance of Professor Dr. Luzia Aparecida Trinca, funded by a PIBIC scholarship from CNPq (August 2017 – July 2018).

Work Experience:

  1. Institute of Research and Development in Structures and Construction (CONSTRUCT), Laboratory of Vibrations and Structural Monitoring (ViBest), Porto, Portugal
    • Position: Research Collaborator (Investigador Colaborador)
    • Dates: October 1, 2023 – June 30, 2024
    • Area: Control and Monitoring of Structures
  2. Núcleo de Tecnologias de Informação na Engenharia Civil (NTIEC), Faculdade de Engenharia, Universidade do Porto
    • Role: Research and Development Activities
    • Dates: 2020
    • Focus: Practical models for teaching Mechanics, MATLAB, Revit, LabVIEW, and 3D printing
  3. Faculdade de Engenharia, Universidade do Porto
    • Role: Extracurricular Activities with Prof. Dr. Carlos Manuel Ramos Moutinho
    • Dates: 2019
    • Focus: Development of practical models to aid in teaching Mechanics

Publication top Notes:

Experimental Testing on Tuned Liquid Dampers for Implementation in Industrial Chimneys

Experimental testing on Tuned Liquid Dampers (TLDs) aiming its implementation on industrial chimneys

Modelo para ensino da interação entre polias

Modelo para ensino de equilíbrio de um nó flutuante

Modelo para ensino do efeito de arco