Preeta Sharan | Engineering | Best Researcher Award

Dr. Preeta Sharan | Engineering | Best Researcher Award

The Oxford College of Engineering | India

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Early Academic Pursuits ๐ŸŽ“

Dr. Preeta Sharan's academic journey began with a strong foundation in engineering and technology. She completed her Ph.D. from the Institute of Technology (IT), Banaras Hindu University (BHU) in 1998. Following this, she pursued post-doctoral research at the prestigious Indian Institute of Technology (IIT), Kharagpur, in 2002. These formative years were marked by rigorous research and academic excellence, setting the stage for her future contributions to the field of engineering.

Professional Endeavors ๐Ÿข

Currently, Dr. Preeta Sharan is a Professor and Dean of Research at The Oxford College of Engineering in Bangalore. Her professional journey has been enriched by numerous roles and responsibilities, demonstrating her dedication to both teaching and research. ย Her professional journey also includes extensive international exposure, having visited countries like Singapore, Malaysia, Japan, China, and Ireland.

Contributions and Research Focus ๐Ÿ”ฌ

Dr. Sharan's research has been prolific, with over 200 publications to her name, including 150+ journal articles and 80 conference paper presentations. Her innovative mind is also reflected in her 13 patents filed in India. Her research interests lie in the fields of electronics and photonics, where she has made significant contributions, particularly in developing photonic devices and systems.

Accolades and Recognition ๐Ÿ†

Dr. Preeta Sharan's work has been recognized with numerous awards and honors. Notable among these are:

  • "Woman of the Year" by the American Biographical Institute (ABI USA) in 1998 and 2009.
  • IEEE Humanitarian Challenge Awards by the R10 Section, Asia Pacific in 2012 and 2013.
  • VGST Citation Award for the Center of Excellence in Photonics by the Vision Group of Science and Technology.
  • Various project awards including the 1st Rank in IMARC, SIGHT project in 2015 and Best Project of the Year Award by KSCST in 2017.
  • Innovation Project Award by IEEE WIECON in 2017 and Light Excellence Award by IEEE Photonic Society, Bangalore Section in 2019.
  • National Award by KSTA Karnataka State and Technology Academy for a project in 2022.
  • Honored as one of the 75 women across India in STEAM, featured in the book "She Is: 75 Women in STEAM" in 2022.

Impact and Influence ๐ŸŒŸ

Dr. Sharan's influence extends beyond her research. She has been actively involved in the IEEE community, serving as the SIGHT Coordinator for the IEEE Bangalore Section in 2014 and the Student Activity Chair in 2013. Her contributions to innovation in teaching were recognized with a published article in WIPRO's "MISSION 10X" magazine in 2012.

Legacy and Future Contributions ๐ŸŒ

Dr. Preeta Sharan's legacy is built on her relentless pursuit of excellence in engineering education and research. She has received numerous scholarships, including the GATE-94 from the HRD Ministry, Government of India, UGC Fellowships for JRF and SRF, and a BHU Scholarship for research in 1992. Her dedication to her field and her students ensures that she will continue to make significant contributions to engineering and technology, inspiring future generations of engineers and researchers.

 

Publications

  • A rail wheel contact temperature prediction model using fiber Bragg Grating sensor on test rig
    Authors: N. Deepa, Preeta Sharan, Sneha Sharma
    Journal: Optical Fiber Technology
    Year: 2024

 

  • An FBG-based optical pressure sensor for the measurement of radial artery pulse pressure
    Authors: Gowda, R.B., Sharan, P., Saara, K., Braim, M., Alodhayb, A.N.
    Journal: Journal of Biophotonics
    Year: 2024

 

  • Design and analysis of a fiber Bragg grating-based foot pressure assessment system
    Authors: Sharan, P., Khouqeer, G.A., El-Badry, B.A., Upadhyaya, A.M.
    Journal: Journal of Biophotonics
    Year: 2024

 

  • Real-time implementation of optical sensor on lab rig model for speed estimation
    Authors: Nagaraju, D., Sharan, P., Sharma, S., Chakraborty, S.
    Journal: Journal of Optics (India)
    Year: 2024

 

  • Measurement model of integrated FBG sensor for beam structure
    Authors: Nandi, S., Chethana, K., Srinivas, T., Sharan, P.
    Journal: Journal of Optics (India)
    Year: 2024

 

 

 

 

Bashir Olaniy Sadiq | Engineering | Best Researcher Award

Dr. Bashir Olaniy Sadiq | Engineering | Best Researcher Award

Kampala International University | Uganda

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Early Academic Pursuits

Dr. Bashir Olaniyi Sadiq embarked on his academic journey with a Bachelor's degree in Electrical Engineering from Ahmadu Bello University Zaria in 2011. He continued his academic pursuits with a Master's degree in Computer Engineering from the same institution, focusing on the development of an Improved Edge Detection Algorithm for Noisy Colored Images using Particle Swarm Optimization. Dr. Sadiq pursued his Ph.D. in Computer Engineering at Ahmadu Bello University Zaria, where his research centered on the Development of a Routing Protocol and Link Connectivity Algorithm for Light Fidelity-Based Indoor Flying Adhoc Network.

Professional Endeavors

Dr. Sadiq's professional journey showcases a progression through various academic and administrative roles. He began as an Assistant Lecturer at Ahmadu Bello University Zaria in 2013, gradually ascending to higher positions. Over the years, he served as Lecturer II, Lecturer I, and Senior Lecturer at the same institution, where he engaged in research, teaching, and administrative duties within the Department of Electrical and Computer Engineering. Subsequently, he assumed the role of Senior Lecturer at Kampala International University, Uganda, where he also serves as the Director of ICT.

Contributions and Research Focus

Dr. Sadiq's research focus spans Computer Communications, Image Processing, Adhoc Networks, and Computer Engineering Applications. He has made significant contributions to the development of an improved communication link for FANETs using Light Fidelity and various image processing algorithms. His research endeavors have led to the development of innovative solutions in Smart Agriculture, IoT, and Applied Machine Learning.

Accolades and Recognition

Dr. Sadiq's dedication to excellence has been recognized through several prestigious awards and scholarships, including the Tertiary Education Trust Fund (TETFUND) IBR grant, the Best Huawei ICT Instructor Award, and the Petroleum Development Trust Fund (PTDF) Ph.D. scholarship. These accolades underscore his commitment to advancing both research and teaching in the field of Computer Engineering.

Impact and Influence

Dr. Sadiq's influence extends beyond his research contributions to his mentorship and leadership qualities. He has mentored numerous undergraduate and postgraduate students, fostering their research skills and academic growth. As an academic leader, he has overseen ICT directorates, supervised research projects, and implemented innovative teaching methodologies.

Legacy and Future Contributions

Dr. Sadiq's legacy is characterized by his dedication to academic excellence, research innovation, and mentorship. His future contributions are poised to further advance the fields of Computer Engineering and Information and Communication Technology (ICT). Through his ongoing research endeavors, mentorship initiatives, and administrative roles, he continues to inspire the next generation of scholars and researchers in the domain of Computer Engineering.

 

Notable Publications

High-tech herding: Exploring the use of IoT and UAV networks for improved health surveillance in dairy farm system 2024

Performance Analysis of Various Image Feature Extractor Filters for Pothole Anomaly Classification 2024

Review of Error Correction in 2D Shingled Magnetic Detection 2023

Energy-aware message distribution algorithm for enhance FANET pipeline surveillance reliability 2023ย 

SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm 2023 (2)

 

 

 

 

Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Prof. Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Politechnika Lubelska | Poland

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Early Academic Pursuits

Professor Dariusz Mazurkiewicz embarked on his academic journey by earning a Masterโ€™s degree in Mechanical Engineering from the Technical University of Lublin, Poland, in 1991. He further pursued his academic endeavors by completing his doctorate in technical sciences from the same university in 1997. His commitment to scholarly pursuits continued as he successfully passed the final habilitation procedure examination in technical sciences at the Technical University of Lublin in 2011. This foundation laid the groundwork for his illustrious career in academia and research.

Professional Endeavors

Professor Mazurkiewiczโ€™s professional journey is marked by significant achievements and contributions in the fields of engineering and academia. Notably, he was bestowed with the prestigious title of full professor in technical and engineering sciences by the President of the Republic of Poland in 2022. Throughout his career, he has been actively involved in national and international research projects, contributing to advancements in areas such as digital twin technology, systems engineering, and reliability management. He has served as a keynote speaker at various esteemed conferences, sharing his expertise and insights with the global academic community.

Contributions and Research Focus

Professor Mazurkiewiczโ€™s research focus spans a diverse range of topics, including digital twin-based fault prediction, process optimization, and reliability engineering. His pioneering work in developing innovative measurement technologies and digital data processing algorithms has garnered recognition and acclaim from peers worldwide. He has led numerous research projects aimed at enhancing the efficiency and reliability of production systems, thereby contributing to the advancement of industrial practices and technologies.

Accolades and Recognition

Professor Mazurkiewiczโ€™s contributions to academia and research have been recognized through a multitude of awards and distinctions. He has been listed among the worldโ€™s top scientists by Stanford University and Elsevier, underscoring the impact of his scholarly endeavors. His research presentations and publications have received accolades such as the Best Paper Award at prestigious international conferences. Additionally, he has been honored by academic institutions and organizations for his outstanding scientific achievements and organizational contributions.

Impact and Influence

Professor Mazurkiewiczโ€™s work has had a profound impact on the fields of engineering, reliability, and systems management. His research findings and innovative methodologies have not only advanced scientific knowledge but also contributed to practical applications in industry and academia. Through his leadership and mentorship, he has inspired future generations of researchers and scholars to pursue excellence in their respective domains, thereby fostering a culture of innovation and inquiry.

Legacy and Future Contributions

Professor Mazurkiewiczโ€™s legacy is characterized by a steadfast commitment to excellence, innovation, and collaboration in research and academia. His continued efforts to push the boundaries of knowledge and technology are poised to shape the future of engineering and reliability sciences. As he continues to lead groundbreaking research initiatives and mentor aspiring scholars, his legacy will endure as a testament to his enduring dedication to advancing the frontiers of scientific inquiry and engineering excellence.

Notable Publications

Virtual tomography as a novel method for segmenting machining process phases with the use of machine learning-supported measurement 2024

Novel Approach to Prognostics and Health Management to Combine Reliability and Process Optimisation 2023

Production Process Stability: The Advantages of Going Beyond Qualitative Analysis 2023 (2)

Systems Engineering: Availability and Reliability 2022 (13)

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network 2021 (3)

Ruichao Yang | Computer Science | Best Researcher Award

Ms. Ruichao Yang | Computer Science | Best Researcher Award

Hong Kong Baptist University | Hong Kong

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Early Academic Pursuits

Ruichao Yang commenced their academic journey at Jilin University, where they systematically delved into computer science courses and participated in various competitions. Notably, they secured the third prize in the 5th "Certification Cup" National College Students Mathematical Modeling Network Challenge. Their undergraduate experience laid a robust foundation in data structure, algorithm design, and analytical skills, setting the stage for their future endeavors.

Professional Endeavors

Ruichao Yang's professional journey commenced with internships and later full-time roles at Microsoft China, where they showcased their prowess in software engineering and natural language processing. They contributed significantly to projects aimed at enhancing online keyword matching systems, filtering advertisements, and improving revenue through innovative approaches. Their expertise in programming languages, data structures, and algorithms proved instrumental in restructuring and optimizing advertising business systems.

Contributions and Research Focus

Ruichao Yang's academic background, coupled with their industry experience, fueled their research focus on improving the efficiency of computing systems, particularly cache optimization and deep learning network acceleration. Their contributions to building domain knowledge graphs and anomaly detection models underscore their commitment to advancing technology's practical applications, particularly in the realm of advertising and revenue optimization.

Accolades and Recognition

Throughout their academic and professional journey, Ruichao Yang garnered numerous accolades and awards, including academic scholarships, merit distinctions, and recognition for their leadership and volunteerism. Their consistent pursuit of excellence and dedication to their field have been acknowledged both within academia and the industry.

Impact and Influence

Ruichao Yang's work at Microsoft China and academic research endeavors have left a significant impact on the domains of software engineering and computer science. Their innovative approaches to problem-solving and contributions to optimizing advertising systems have not only enhanced user experiences but also contributed to revenue growth and operational efficiency.

Legacy and Future Contributions

As Ruichao Yang continues to navigate their career path, their legacy lies in their contributions to advancing technology's frontiers, particularly in software engineering, natural language processing, and computational optimization. Their future contributions are poised to further propel innovation, shape industry standards, and inspire the next generation of computer scientists and engineers.

Notable Publications

  • CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy 2024
  • Towards low-resource rumor detection: Unified contrastive transfer with propagation structure 2024
  • Reinforcement Subgraph Reasoning for Fake News Detection 2022 (29)

    A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning 2022 (20)

    Towards Fine-Grained Reasoning for Fake News Detection 2022 (35)

 

 

 

Ayan Paul | Agricultural and Biological Sciences | Best Researcher Award

Mr. Ayan Paul | Agricultural and Biological Sciences | Best Researcher Award

Indian Institute of Technology Kharagpur | India

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Early Academic Pursuits

Ayan Paul commenced his academic journey with a Bachelor's in Agricultural Engineering from Orissa University of Agriculture and Technology, Bhubaneswar, where he displayed exceptional prowess with a CGPA of 8.323. His early education at Air Force School Agra, securing a remarkable 95.20%, laid the foundation for his future academic endeavors.

Professional Endeavors

Throughout his academic career, Ayan delved into various practical experiences, including internships at prestigious institutions like CLAAS India Private Ltd., ICAR- Central Institute of Agricultural Engineering, and Odisha Farm Machinery Research and Development Centre. These experiences honed his skills in agricultural machinery design, operation, maintenance, and research.

Contributions and Research Focus

Ayan's M.Tech project on designing an Adjustable Chassis for a Track Type Combine Harvester stands as a testament to his dedication and expertise in the field of farm machinery and power. His B.Tech project, focusing on the field evaluation of Tractor Drawn Groundnut Digger Shaker, showcases his commitment to advancing agricultural practices through innovative solutions.

Accolades and Recognition

Ayan's academic excellence was acknowledged with notable achievements such as securing All India Rank 14 in the Graduate Aptitude Test in Engineering (GATE 2020) and securing All India Rank 64 in ICAR's All India Entrance Examination for Agriculture (AIEEA- UG 2016). These accolades underscore his outstanding capabilities and dedication to his field.

Impact and Influence

Ayan's contributions extend beyond academic achievements, as evidenced by his participation in skill development courses and entrepreneurship programs. His endeavors in remote sensing, GIS in agriculture, food packaging technology, and entrepreneurship development reflect his holistic approach to agricultural engineering and his potential to drive positive change in the field.

Legacy and Future Contributions

With a solid foundation in agricultural engineering, coupled with practical experiences and academic achievements, Ayan Paul is poised to make significant contributions to the field. His focus on innovation and research promises to bring about advancements in farm machinery design, agricultural technology, and sustainable farming practices, leaving a lasting legacy in agricultural engineering and beyond.

Notable Publications

Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification 2024

Utilizing Fine-Tuned YOLOv8 Deep Learning Model for Greenhouse Capsicum Detection and Growth Stage Determination 2023 (1)

 

Jingjing Cao | Computer Science | Best Researcher Award

Dr. Jingjing Cao | Computer Science | Best Researcher Award

School of Transportation and Logistics Engineering | China

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Early Academic Pursuits

Dr. Jingjing Cao's academic journey commenced with a Bachelor of Engineering in Information and Computing Science from Dalian Maritime University. Subsequently, she pursued a Master of Science in Applied Mathematics before earning her Ph.D. from the Department of Computer Science at City University of Hong Kong.

Professional Endeavors

Dr. Cao's professional journey has been marked by significant contributions. She served as a Research Associate at Dalian Maritime University and later assumed roles as Assistant Professor and now Tenure Track Associate Professor at Wuhan University of Technology.

Contributions and Research Focus

With a focus on Machine Learning and its applications in transportation and logistics, Dr. Cao has made remarkable contributions. Her research spans various domains, including ensemble learning, deep learning, and optimization algorithms, as evidenced by her prolific publication record in reputable journals and conferences.

Accolades and Recognition

Dr. Cao's impactful research has garnered widespread recognition, exemplified by her receipt of the prestigious Best Researcher Award. Her publications in renowned journals and conferences underscore her standing as a leading figure in the field of Computer Science and Machine Learning.

Impact and Influence

Dr. Cao's work has left a lasting impact on the academic community and industry alike. Her research has not only advanced the theoretical understanding of Machine Learning but has also found practical applications in domains such as transportation, logistics, and industrial informatics.

Legacy and Future Contributions

As Dr. Cao continues her academic journey, her legacy is defined by a commitment to excellence in research and education. With ongoing projects and professional services, she remains dedicated to shaping the future of Computer Science and Machine Learning, leaving an indelible mark on the field.

Notable Publication

FE-Net: Feature enhancement segmentation network 2024

Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm 2022 (24)

A two-stage model for forecasting consumersโ€™ intention to purchase with e-coupons 2021 (15)

RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment 2021 (14)

Adaptive sliding window based activity recognition for assisted livings 2020 (62)

 

 

 

 

 

Haoming Ma | Energy | Best Researcher Award

Dr. Haoming Ma | Energy | Best Researcher Award

University of Texas at Austin | United States

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Early Academic Pursuits

Dr. Haoming Ma's academic journey began with a Bachelor's in Energy Engineering, complemented by minors in Environmental Engineering and Energy Business and Finance. He pursued his passion further, earning a Master's in Energy and Mineral Engineering, exploring the impacts of blackout cost recovery on stock behavior among electric utilities. His academic pursuits culminated in a Ph.D. in Chemical and Petroleum Engineering, focusing on data-driven carbon dioxide enhanced oil recovery models and their applications.

Professional Endeavors

Dr. Ma's professional journey encompasses diverse roles, from a Sessional Instructor at the Schulich School of Engineering to a Postdoctoral Fellow at the Energy Emissions Modeling and Data Lab, University of Texas at Austin. He also served as a Postdoctoral Research Associate at the Department of Chemical & Petroleum Engineering, University of Calgary. His research interests span reservoir simulation, system-level modeling, machine learning applications, and life cycle assessment.

Contributions and Research Focus

Dr. Ma's research integrates system modeling, data analytics, economic, and policy analysis to address economic and environmental challenges in energy systems and climate change mitigation. He has led and contributed to numerous research projects, focusing on CO2 capture, utilization, and sequestration, as well as unconventional resources recovery and hydrogen production and storage. His work provides a scientific foundation for technology and policy development towards environmental sustainability and carbon neutrality.

Accolades and Recognition

Dr. Ma's contributions have been recognized through various awards, including the Alberta Graduate Excellence Scholarship and the Chemical & Petroleum Engineering Graduate Excellence Award. He has also received accolades for his teaching excellence, including the Outstanding Graduate Teaching Assistant Award.

Impact and Influence

Dr. Ma's research publications, peer-reviewed articles, and conference proceedings demonstrate his significant impact on the field of energy and environmental engineering. His innovative approaches to techno-economic analysis and life cycle assessment contribute to shaping sustainable energy solutions globally.

Legacy and Future Contributions

Dr. Ma's leadership roles, professional services, and academic mentoring reflect his commitment to advancing the field and nurturing the next generation of energy leaders. His ongoing research and collaborations aim to drive further innovations in energy technology and policy, leaving a lasting legacy in the pursuit of environmental sustainability and carbon neutrality.

Notable Publications

Technical analysis of a novel economically mixed CO2-Water enhanced geothermal system 2024

Comparative data-driven enhanced geothermal systems forecasting models: A case study of Qiabuqia field in China 2023

Thermo-economic optimization of an enhanced geothermal system (EGS) based on machine learning and differential evolution algorithms 2023

Numerical simulation of bitumen recovery via supercritical water injection with in-situ upgrading 2022 (12)

Optimized schemes of enhanced shale gas recovery by CO2-N2ย mixtures associated with CO2 sequestration 2022 (21)

 

 

Junyi Lv | Engineering | Best Researcher Award

Mr. Junyi Lv | Engineering | Best Researcher Award

Zibo Vocational Institute | China

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Early Academic Pursuits

Mr. Junyi Lv embarked on his academic journey at Zibo Vocational Institute with a fervent interest in Intelligent Construction, Smart City development, and Zero Carbon Building initiatives. His academic endeavors were marked by a zealous pursuit of knowledge and innovation in these domains.

Professional Endeavors

As a dedicated researcher, Mr. Lv actively engaged in various research projects sponsored by the Chinese Government and collaborated on joint initiatives with the Ministry of Housing and Urban-Rural Development of China and the German Energy Agency. His contributions extended to the formulation of the "Intelligent Construction Training Center Construction Standard," demonstrating his commitment to setting industry benchmarks.

Contributions and Research Focus

Mr. Lv's research focus primarily revolved around Intelligent Construction methodologies, Smart City infrastructure development, and advancements in Zero Carbon Building technologies. His pioneering work in these areas aimed to enhance construction efficiency, promote sustainability, and foster innovation in the built environment.

Accolades and Recognition

Mr. Junyi Lv's dedication and innovation were duly recognized when he was awarded the Grand Prize in the prestigious "Innovation in Intelligent Construction and Management" competition in 2021. This accolade underscored his significant contributions to the field and his exemplary leadership in driving transformative change.

Impact and Influence

Through his research projects, standardization efforts, and innovative methodologies, Mr. Lv has left a profound impact on the construction industry, particularly in the realms of Intelligent Construction and sustainable urban development. His work has not only influenced industry practices but has also inspired future generations of researchers and practitioners.

Legacy and Future Contributions

Mr. Junyi Lv's legacy lies in his unwavering commitment to advancing the frontiers of Intelligent Construction, Smart City development, and Zero Carbon Building technologies. His groundbreaking research, coupled with his passion for innovation, continues to shape the trajectory of the construction industry, paving the way for a more sustainable and technologically advanced built environment. In the future, Mr. Lv aims to further expand his research horizons, driving continued progress and innovation in the field of construction and urban development.

Notable publications

Improving the performance of prefabricated houses through multi-objective optimization design 2024

 

 

 

 

 

Fanshan Meng | Engineering | Best Researcher Award

Mr. Fanshan Meng | Engineering | Best Researcher Award

School of Mechanical and Storage Engineering, China University of Petroleum (Beijing) | China

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Early Academic Pursuits

Mr. Fanshan Meng commenced his academic journey at China University of Petroleum (Beijing), where he pursued a Bachelor's degree in Energy and Power Engineering. His curriculum included rigorous courses in fluid mechanics, thermodynamics, and heat transfer, laying a solid foundation for his future endeavors in the field of energy engineering.

Professional Endeavors

Building upon his undergraduate studies, Mr. Meng embarked on a Master's program in Energy and Power at China University of Petroleum (Beijing). Throughout his academic journey, he demonstrated proficiency in software tools such as SolidWorks, MATLAB, and COMSOL, alongside his expertise in experimental techniques and instrumentation.

Contributions and Research Focus

Mr. Meng's research endeavors have focused on innovative solutions in thermal engineering, particularly in the areas of heat exchange and infrared measurement techniques. His contributions to projects such as the Variable Temperature Infrared BRDF Test Research and the Medium and Deep Geothermal Single Well Heat Exchange Technology exemplify his dedication to advancing knowledge in energy systems and thermal sciences.

Accolades and Recognition

Mr. Meng's research efforts have garnered recognition in the academic community, with publications in esteemed journals such as Optics Express and Infrared Physics & Technology. His contributions to scientific literature underscore his commitment to rigorous inquiry and scholarly excellence in his field.

Impact and Influence

Through his internship experiences and campus engagements, Mr. Meng has made significant contributions to his academic and professional communities. His leadership roles in student organizations and volunteer services highlight his proactive approach to community engagement and his ability to inspire others through his actions.

Legacy and Future Contributions

Looking ahead, Mr. Meng aims to continue his pursuit of innovative research initiatives that address critical challenges in energy and thermal engineering. With a focus on sustainability and technological innovation, he seeks to contribute to the development of cleaner, more efficient energy systems that will have a lasting impact on society and the environment.

Notable Publications

A Kalman-filtering-based BRDF online measurement method for variable temperature surfaces 2023

Infrared BRDF measurement based on projection reconstruction with attenuated aperture filter effects 2023 (1)

Infrared BRDF spatial scanning measurement with an optimized rotation strategy of a robotic arm 2023 (2)

 

 

 

Leda Kamal | Engineering | Best Researcher Award

Ms. Leda Kamal | Engineering | Best Researcher Award

Toc H Institute of Science and Technology | India

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Early Academic Pursuits

Leda Kamal pursued her academic journey with a strong focus on Computer Science & Engineering. She obtained her M.Tech in Computer Science & Engineering and is currently engaged in pursuing her Ph.D. Her early academic pursuits laid a solid foundation for her future endeavors in the field.

Professional Endeavors

With over a decade of experience in academia, Leda Kamal has held various positions, starting as a Lecturer at Holy Matha College of Technology, then progressing to positions at Ilahia College of Engineering & Technology and Toc H Institute of Science & Technology. Currently, she serves as an Assistant Professor at Toc H Institute of Science & Technology.

Contributions and Research Focus

Leda Kamal's research interests primarily revolve around Blockchain, Deep Learning, and Cryptography. Her contributions to these areas include publications such as "Blockchain: A Compendium on Contemporary Privacy Preservation Approaches and its Manifestation in Varied Realms" and "Enhanced Technique for Privacy Preserving Public Auditing for Shared Data in Cloud."

Accolades and Recognition

Her work has been recognized and published in various esteemed platforms, including international journals and conferences. Noteworthy publications include "NVSS scheme for digital image sharing" and "Enhanced RSA combined with DWT domain watermarking."

Impact and Influence

Through her research and academic contributions, Leda Kamal has made a significant impact on the fields of Blockchain, Deep Learning, and Cryptography. Her work has contributed to advancements in privacy preservation, data security, and digital image sharing.

Legacy and Future Contributions

With a strong foundation in academia and a dedication to cutting-edge research, Leda Kamal is poised to continue making meaningful contributions to the fields of Computer Science & Engineering. Her legacy will be marked by her commitment to innovation, scholarly excellence, and the pursuit of knowledge in emerging technologies.

Notable Publications

Metaverse Creation And Decentralized Land NFTs Over Blockchain 2023

Blockchain: A Compendium on Contemporary Privacy Preservation Approaches and Its Manifestation in Varied Realms 2022 (1)