Lubin Wang | Computer Science | Best Researcher Award

Posted on 24/04/202524/04/2025 by Book of Award

Mr. Lubin Wang | Computer Science | Best Researcher Award

Guilin Institute of Information Technology | China

Author Profile

🎓 Early Academic Pursuits

Mr. Lubin Wang began his academic journey with a Bachelor's degree in Computer Science and Technology at Shanxi Datong University. His early years were marked by active engagement in software development projects, where he not only served as a core developer but also honed critical skills in modular design, teamwork, and leadership. His proactive involvement in both academic and extracurricular technology initiatives laid a strong foundation for his future research career. Notably, he contributed to an open-source database management tool on GitHub that garnered over 2.4k stars, reflecting early promise and innovation.

💼 Professional Endeavors

Following his undergraduate studies, Mr. Wang advanced his expertise by enrolling in a Master's program at Guilin University of Technology, in collaboration with the National Space Science Center of the Chinese Academy of Sciences. Throughout this period, he managed several interdisciplinary projects in high-tech domains including IoT, aerospace data systems, and smart manufacturing. As a project lead and software manager, Mr. Wang took charge of planning, coordinating, and executing complex software systems, displaying not only technical aptitude but also remarkable project governance.

🧠 Contributions and Research Focus

Mr. Wang’s research spans a diverse set of domains unified by a core theme—intelligent systems and automation. He spearheaded the design and implementation of a cloud-based smart printing factory platform that combined neural networks with physical control systems, achieving near-perfect detection accuracy. In the realm of smart cities, he developed a novel traffic-responsive lighting control algorithm and integrated it into a robust management platform supported by SpringBoot and MQTT protocols. His contributions to wind turbine diagnostics involved developing MATLAB-based reliability models, while his work on smart oil testing platforms showcased expertise in OCR, blockchain, and predictive analytics.

🏅 Accolades and Recognition

Mr. Wang has earned numerous accolades that reflect his academic excellence and technical mastery. He secured the First Prize at the National College Student English Vocabulary Challenge in both 2022 and 2023 and was recognized in various programming and language competitions. His academic performance also earned him prestigious scholarships and awards throughout his graduate studies. Beyond these formal recognitions, his influence extends to the online education community, where his Bilibili content channel has amassed thousands of views, demonstrating his ability to communicate complex ideas to broader audiences.

🌍 Impact and Influence

The practical impact of Mr. Wang’s work is far-reaching. His innovations in smart factory and city infrastructure have been piloted at major institutions, contributing to automation, safety, and efficiency. His software and hardware solutions have influenced how industrial faults are detected and managed, while his academic guidance has helped numerous graduate students succeed in their entrance examinations. Mr. Wang’s ability to bridge theory with real-world applications underscores his role as both a thinker and a doer in the field of intelligent systems.

🔮 Legacy and Future Contributions

Looking ahead, Mr. Wang is positioned to continue making transformative contributions to the fields of artificial intelligence, urban computing, and autonomous control systems. His trajectory suggests not only sustained innovation but also leadership in shaping the future of intelligent infrastructure and research-led development. As a mentor, researcher, and technology developer, Mr. Wang is building a legacy defined by curiosity, excellence, and a profound commitment to technological advancement.

Publications

📘 HYFF-CB: Hybrid Feature Fusion Visual Model for Cargo Boxes

Authors: Juedong Li, Kaifan Yang, Cheng Qiu, Lubin Wang, Yujia Cai, Hailan Wei, Qiang Yu, Peng Huang
Journal: Sensors
Year: 2025

📗 BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection

Authors: Long Guo, Lubin Wang (陆斌王), Qiang Yu, Xiaolan Xie
Journal: Applied Sciences
Year: 2024

📙 DYNet: A Printed Book Detection Model Using Dual Kernel Neural Networks

Authors: Lubin Wang (陆斌王), Xiaolan Xie, Peng Huang, Qiang Yu
Journal: Sensors
Year: 2023

Elif Keskin Bilgiç | Engineering | Best Researcher Award

Posted on 20/09/202420/09/2024 by Book of Award

Mrs. Elif Keskin Bilgiç | Engineering | Best Researcher Award

Istanbul University -Cerrahpaşa | Turkey

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Early Academic Pursuits 🎓

Mrs. Elif Keskin Bilgiç's academic journey began with a strong foundation in biology, earning her B.Sc. in Biology from Abant İzzet Baysal University in 2010. She further pursued her passion for biomedical engineering, completing an M.Sc. at Istanbul University in 2016. Her master's thesis focused on investigating the therapeutic effects of innovative biomaterials, such as L-Dopa and Lawsone, in wound healing. This early academic focus laid the groundwork for her expertise in biomedical engineering and clinical applications. In 2024, she completed her Ph.D. in Biomedical Engineering from Istanbul University-Cerrahpaşa, specializing in non-invasive clinical decision support systems for diagnosing gastrointestinal diseases using advanced machine learning methods. 📚

Professional Endeavors 💻

With over a decade of professional experience, Mrs. Bilgiç has made significant contributions as both a researcher and educator. She has taught Cambridge Biology at the A-Level from 2016 to 2024 at the International Gokkusagi School in Istanbul, equipping students with critical knowledge to excel in international examinations. As a researcher at Istanbul University-Cerrahpaşa since 2016, she has pioneered research using transfer learning techniques to detect celiac disease, developing predictive machine learning models to aid in diagnostics. Her work in wound healing and biomaterials during her early career helped shape her innovative approaches in biomedical engineering.

Contributions and Research Focus 🔬

Mrs. Bilgiç's research centers on developing non-invasive clinical decision support systems for diagnosing autoimmune diseases, with a particular focus on celiac disease. Her groundbreaking research involves the use of machine learning models, including transfer learning and deep learning, to diagnose the disease by analyzing facial images and predicting Marsh levels from patient data. This innovative approach merges cutting-edge AI technology with clinical diagnostics, advancing the field of medical science. In addition, her research on the therapeutic effects of biomaterials in wound healing has expanded the knowledge base in biomedical engineering.

Accolades and Recognition 🏆

Mrs. Bilgiç has published multiple scientific papers, including an original article on using transfer learning for celiac disease identification, which has garnered attention within the scientific community. Her work has been presented at numerous conferences and symposia, including international venues such as the Bilge Kagan 2nd International Science Congress in Barcelona, Spain, and the 11th Nanoscience and Nanotechnology Conference in Ankara, Turkey. Her innovative approaches to clinical diagnostics and contributions to autoimmune disease research have earned her recognition as a thought leader in the field.

Impact and Influence 🌍

Through her research, Mrs. Bilgiç is reshaping how clinical diagnostics are performed, particularly for gastrointestinal and autoimmune diseases. Her development of non-invasive diagnostic systems could revolutionize patient care, offering faster and more accurate diagnosis options. Her educational impact extends beyond the research lab, as she has inspired countless students through her teaching, blending her academic and professional expertise into practical applications that shape future scientists and researchers.

Legacy and Future Contributions ✨

Mrs. Bilgiç's work in machine learning, biomedical engineering, and education has laid a strong foundation for future advancements in healthcare technology. Her legacy will likely be marked by her innovations in non-invasive diagnostic tools and her contribution to the understanding of biomaterials in medical treatment. As her research evolves, she is poised to continue making significant contributions that will benefit patients and healthcare providers alike, influencing the future of clinical decision support systems and biomedical engineering for years to come.

Publications

📖 Innovative Approaches to Clinical Diagnosis: Transfer Learning in Facial Image Classification for Celiac Disease Identification
Author: Elif Keskin Bilgiç, Inci Zaim Gokbay, Yusuf Kayar
Journal: Applied Sciences
Year: 2024

Furkan Aydin | Engineering | Best Researcher Award

Posted on 09/08/202409/08/2024 by Book of Award

Mr. Furkan Aydin | Engineering | Best Researcher Award

Polytechnic of Milan | Italy

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🎓 Early Academic Pursuits

Furkan Aydin’s academic journey began with a strong foundation in civil engineering. He completed his BSc in Civil Engineering from Anadolu University, Eskişehir, Turkey, where he was part of an English education program. His academic excellence was further enriched by an Erasmus+ exchange program at Halmstad University, Sweden. Furkan later pursued an MSc in Civil Engineering for Risk Mitigation at Politecnico di Milano, Italy. His master's thesis focused on a method to process eye-tracker data with image processing algorithms for driver behavior analysis, showcasing his ability to merge traditional engineering with modern technological approaches.

🛠️ Professional Endeavors

Furkan Aydin’s professional career is marked by diverse roles in civil engineering and risk management. His journey started with internships at Yörük Yapı in Istanbul and Gülermak Heavy Industries Construction & Contracting Co. in Warsaw, where he gained hands-on experience in civil engineering. He later transitioned to a Site Civil Engineer role at Yörük Yapı and subsequently worked as a Technical Office Engineer, responsible for tendering and procurement for significant projects like the Annapol Tramline Depot in Warsaw. Currently, Furkan is a Reinsurance Associate Specialist at Anadolu Sigorta in Istanbul, reflecting his versatility in both engineering and financial risk management.

📚 Contributions and Research Focus

Furkan has made notable contributions in the field of civil engineering, particularly in risk management and driver behavior analysis. His research interests are broad, encompassing geospatial data processing, structural assessment, fire and blast safety, and transport management in emergency planning. His work has been recognized in academic publications, including a paper on analyzing driver visual behavior using eye-tracker data, published in Applied Sciences.

🏆 Accolades and Recognition

Furkan’s academic and professional excellence has been recognized through various certifications and accolades. He has earned certifications in Python programming, data science, and MATLAB, among others. His proficiency in civil engineering tools like AutoCAD, STA4CAD, and SAP2000, coupled with his language skills in English, Italian, and Turkish, positions him as a well-rounded professional in his field.

🌍 Impact and Influence

Furkan Aydin’s work in risk management and civil engineering has had a significant impact on the projects he has been involved in, particularly in the context of infrastructure development and emergency planning. His research on driver behavior analysis using cutting-edge technology contributes to the broader understanding of traffic safety and urban planning.

🌟 Legacy and Future Contributions

As Furkan continues his career, his legacy is likely to be defined by his innovative approach to integrating technology with traditional civil engineering practices. His future contributions will likely focus on advancing the fields of risk management, infrastructure development, and urban planning, making him a pivotal figure in shaping the future of civil engineering.

Publications 📚

📄 An Image Processing-Based Method to Analyze Driver Visual Behavior Using Eye-Tracker Data
Authors: Furkan Aydin, Giandomenico Caruso, Lorenzo Mussone
Journal: Applied Sciences
Year: 2024

Aiman Awadh Bin Mokaizh | Chemical Engineering | Best Researcher Award

Posted on 02/08/202405/08/2024 by Book of Award

Dr. Aiman Awadh Bin Mokaizh | Chemical Engineering | Best Researcher Award

Universiti Malaysia Pahang Al-Sultan Abdullah | Malaysia

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Early Academic Pursuits 🎓

Dr. Aiman Awadh Bin Mokaizh's academic journey began at Qawdhah High School in Hadramout, Yemen, where he graduated from the Scientific Department in 2012 with a commendable rate of 86.00%. His passion for chemical engineering led him to Universiti Malaysia Pahang (UMP), Malaysia, where he obtained his Bachelor's degree in January 2019, achieving a GPA of 3.23/4.00. He continued his studies at UMP, earning a Master's degree in Chemical Engineering with Entrepreneurship in January 2020, with an impressive GPA of 3.73/4.00. Currently, he is pursuing a PhD in Chemical Engineering at UMP, focusing on the optimization and characterization of bioactive compounds extracted from Commiphora gileadensis using various extraction methods.

Professional Endeavors 👩‍🔬

Dr. Mokaizh has amassed significant professional experience in the field of chemical engineering. He served as a lecturer at Hadhramout University and held various research assistant positions at UMP. His industry experience includes working as a Production & Process Engineer at Alraswah Brothers Sdn Bhd in Malaysia. Additionally, he has been actively involved in academic and student organizations, serving as a reviewer for several journals and holding leadership roles in various student associations at UMP.

Contributions and Research Focus 🔬

Dr. Mokaizh's research interests span across chemical reactions and kinetics, wastewater treatment, catalysts and support catalysts, separation processes (extraction), chemical technology, and waste-to-wealth initiatives. His research projects have focused on innovative solutions for environmental and industrial challenges, such as the synthesis of gamma-alumina from aluminum cans waste for treating palm oil mill effluent and developing green oil-based surfactants for crude oil stabilization.

Accolades and Recognition 🏅

Dr. Mokaizh has been recognized for his academic excellence and research contributions with numerous awards. These include the Silver Medal at CITREx 2023 for medicinal plants to medicinal applications, the Alumni Icon Award 2021 from the Faculty of Chemical and Process Engineering Technology at UMP, and several other accolades for outstanding student achievements and research presentations.

Impact and Influence 🌟

Dr. Mokaizh's work has had a significant impact on both academic and industrial sectors. His research on sustainable and innovative chemical engineering practices has contributed to advancements in environmental protection and resource management. As a lecturer and mentor, he has influenced the next generation of engineers and researchers, promoting a culture of academic excellence and innovation.

Legacy and Future Contributions 🌍

Dr. Mokaizh's legacy in the field of chemical engineering is marked by his dedication to research, education, and sustainable practices. His ongoing PhD research promises to contribute further to the optimization and extraction of bioactive compounds, potentially leading to new applications in medicine and industry. As he continues his academic and professional journey, Dr. Mokaizh is poised to make lasting contributions to the field, inspiring future engineers and researchers to pursue excellence and innovation.

Publications 📄

📄Extraction and Characterization of Biological Phytoconstituents of Commiphora gileadensis Leaves Using Soxhlet Method
Authors: Aiman A. Bin Mokaizh, Abdurahman Hamid Nour, Motasem Y. D. Alazaiza, Sara Elkheir Mustafa, Manal Suliman Omer, Dia Eddin Nassani
Journal: [Special Issue: Advanced Technologies for the Production, Processing, and Extraction of Biorefinery Products from Microalgae] Year: 2024

📄Methods of treating oily sludge: A review on current trends
Authors: Abdulqawi, M., Yunus, R.M., Ismail, N., Bin Mokaizh, A.A.
Journal: AIP Conference Proceedings, Year: 2024

📄Study Thermal Resistance of γ-Al2O3 at Various Reaction Temperatures via TGA Analysis
Authors: Mokaizh, A.A.B., Abdurahman, N.H., Alara, O.R., Abdulqawi, M.
Journal: Materials Science Forum, Year: 2023

📄Elucidating the Effects of Reaction Time on the Physicochemical Characterization of Valorized Synthesized Alumina
Authors: Bin Mokaizh, A.A., Shariffuddin, J.H., Baarimah, A.O., Olalere, O.A., Saeed, A.A.H.
Journal: Materials, Year: 2022

📄Bioactive Components of Commiphora Gileadensis Plant for Various Medicinal Applications: A Bibliometric Analysis
Authors: Moakizh, A.A.B., Nour, A.H., Alara, O.R., Baarimah, A.O.
Conference: 2022 International Conference on Data Analytics for Business and Industry, Year: 2022

Zohming Liana | Engineering | Best Researcher Award

Posted on 31/07/202431/07/2024 by Book of Award

Mr. Zohming Liana | Engineering | Best Researcher Award

NIT Silchar | India

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Early Academic Pursuits 📚

Mr. Zohming Liana's academic journey began in 2009 when he completed his high school education at Maubawk High School under the Mizoram Board of School Education. Demonstrating a keen interest in the sciences, he pursued his intermediate studies at Synod Higher Secondary School, focusing on Physics, Chemistry, and Mathematics. This solid foundation paved the way for his enrollment in the B.Tech program at PES College of Engineering, Mandya, Karnataka, where he specialized in Electronics and Communication Engineering, graduating with an impressive 8.48 CGPA in 2015.

Professional Endeavors 💼

Upon completing his B.Tech, Mr. Liana continued his academic progression by enrolling in the M.Tech program at the National Institute of Technology (NIT), Mizoram. There, he specialized in Microelectronics and VLSI System Design, earning a 7.73 CGPA in 2019. His doctoral journey took him to NIT Silchar, where he pursued a Ph.D. focused on the "Modeling and Simulation of Graphene Nanoribbon Vertical TFET," under the supervision of Prof. Brinda Bhowmick and Dr. Bijit Choudhuri. His research utilized advanced software tools such as Silvaco ATLAS and Virtuoso Cadence.

Contributions and Research Focus 🧑‍🔬

Mr. Liana has made significant contributions to the field of electronics and communication engineering. His research primarily revolves around the modeling and simulation of semiconductor devices, with a particular emphasis on Graphene Nanoribbon Vertical Tunnel FETs (TFETs). His work includes projects like "Modeling for Minimization of Leakage in DG SOI NanoFET," guided by Dr. Rudra Sankar at NIT Mizoram, employing software such as Sentaurus TCAD, MATLAB, and Cadence.

Accolades and Recognition 🏅

Throughout his academic and professional journey, Mr. Liana has achieved notable recognition. He qualified for the National Eligibility Test in 2019 and has published extensively in esteemed international journals. His publications cover various aspects of semiconductor device performance, including the impact of graphene channels, gas sensing stability, and RF energy harvesting. He has also been granted a South African patent and contributed to a book chapter on advanced semiconductor devices.

Impact and Influence 🌐

Mr. Liana's research has had a considerable impact on the field of semiconductor device engineering. His work on the performance analysis of Graphene Nanoribbon Vertical Tunnel FETs has been published in high-impact journals, influencing both academic research and practical applications in microelectronics. His participation in international conferences has further disseminated his findings to a global audience.

Legacy and Future Contributions 🌟

Looking ahead, Mr. Liana's contributions to the field of electronics and communication engineering are poised to leave a lasting legacy. His ongoing research and innovative approach to semiconductor device modeling continue to push the boundaries of what is possible in microelectronics. As he progresses in his career, his work is expected to drive further advancements in the development of efficient, high-performance electronic devices, solidifying his role as a leading figure in his field.

Publications 📚

Device and Circuit-Level Performance Evaluation of DG-GNR-DMG Vertical Tunnel FET

📔 Journal: Micro and Nanostructures
📅 Year: 2024
👥 Contributors: Zohming Liana, Manas Ranjan Tripathy, Bijit Choudhuri, Brinda Bhowmick

Sensitivity Analysis of a Double Source Stack Lateral TFET-Based Gas Sensor

📔 Journal: ECS Journal of Solid State Science and Technology
📅 Year: 2024
👥 Contributors: Mili, G., Liana, Z., Bhowmick, B.

Analysis of the Impact of Interface Trap Charges on the Analog/RF Performance of a Graphene Nanoribbon Vertical Tunnel FET

📔 Journal: Journal of Electronic Materials
📅 Year: 2023
👥 Contributors: Liana, Z., Choudhuri, B., Bhowmick, B.

Sensitivity and Stability Analysis of Double-Gate Graphene Nanoribbon Vertical Tunnel FET for Different Gas Sensing

📔 Journal: ECS Journal of Solid State Science and Technology
📅 Year: 2023
👥 Contributors: Liana, Z., Choudhuri, B., Bhowmick, B.

Drift Diffusion and Advance Hydrodynamic Simulation for the Design of Double-Gate SOI MOSFET in Nano-Scale Regime

📔 Conference: 2019 2nd International Conference on Advanced Computational and Communication Paradigms (ICACCP 2019)
📅 Year: 2019
👥 Contributors: Liana, Z., Khiangte, L., Dash, S., Dhar, R.S.

Akhil Nigam | Engineering | Best Researcher Award

Posted on 06/07/202406/07/2024 by Book of Award

Dr. Akhil Nigam | Engineering | Best Researcher Award

Chandigarh University | India

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Early Academic Pursuits

Dr. Akhil Nigam's academic journey is rooted in a strong foundation in Electrical and Electronics Engineering. He completed his secondary education at N.L.K. Inter College, Kanpur, achieving 70.6% in his XII board exams in 2006 and 65% in his X board exams in 2004. His passion for engineering led him to pursue a B.Tech. in Electrical & Electronics Engineering at Naraina College of Engineering and Technology, under Gautam Buddh Technical University, where he graduated with a commendable 78.22% in 2011.

Professional Endeavors

Dr. Nigam's professional career began with a one-year tenure as a Teaching Personnel at Govind Ballabh Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, from August 2011 to May 2012. He then served as an Assistant Professor at IFTM University, Moradabad, from August 2013 to July 2017, in the Department of Electrical Engineering. Currently, he holds the position of Assistant Professor at Chandigarh University, Mohali, since June 2018, where he continues to contribute to the academic and research landscape.

Contributions and Research Focus

Dr. Nigam's research interests are primarily focused on renewable energy sources and power systems. His academic projects include the M.Tech. project "Simulation of Modified Perturb & Observe MPPT Technique for Solar PV Cell Application Using MATLAB/SIMULINK" and the B.Tech. project "Wireless MCB Fault Finder." He has made significant contributions to the field through his publications, which include several articles in reputed journals and conference proceedings. His notable works include research on MPPT techniques for solar PV cells and optimization techniques for distributed generators.

Accolades and Recognition

Dr. Nigam has been recognized for his academic and research excellence throughout his career. He completed his M.Tech. in Electrical Engineering (Power Systems) from IFTM University, Moradabad, in 2016, with an impressive 84.55%. His Ph.D. from Chandigarh University in 2023, with a CGPA of 7.0, further solidifies his expertise in Electrical Engineering. He has received accolades for his outstanding performance, including awards for his research publications and contributions to the field of electrical engineering.

Impact and Influence

Dr. Nigam's impact extends beyond his research contributions. He has actively participated in international conferences and workshops, presenting his work and engaging with the global academic community. His dedication to teaching and mentoring students has influenced many aspiring engineers. His involvement in research projects and publications has contributed to advancements in renewable energy and power systems, driving innovation and sustainability in the field.

Legacy and Future Contributions

Dr. Akhil Nigam's legacy in Electrical Engineering is marked by his rigorous research, academic excellence, and commitment to education. As he continues his career, his contributions to renewable energy, power systems, and smart grid technology are anticipated to significantly advance the field. His ongoing research and professional endeavors promise to leave a lasting impact on the scientific community and pave the way for future innovations.

Notable Publications

Modeling of hybrid power system using MATLAB 2023

Utilization of Various Controllers for Determination of Stability for Hybrid System Under MATLAB 2023

Modeling & Simulation Analysis of Solar PV System Using MPPT Controller for Study of Hybrid Energy System 2023

Optimization of Wind-Hydro Hybrid Energy System for Stability Analysis by Using Different Types of Controllers 2023 (2)

Vishnu Dharssini A.C | Engineering | Best Researcher Award

Posted on 05/07/202406/07/2024 by Book of Award

Ms. Vishnu Dharssini A.C | Engineering | Best Researcher Award

Thiagarajar College of Engineering | India

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Early Academic Pursuits

Ms. Vishnu Dharssini A.C has consistently demonstrated a passion for knowledge and excellence in her academic journey. Her pursuit of higher education in Electrical and Electronics Engineering began at Thiagarajar College of Engineering, Madurai, where she excelled academically. She was awarded a Silver Medal as the Best Outgoing Student of the Year 2021. Her dedication and outstanding performance were further recognized through awards for her achievements in the Anna University semestral examinations for two consecutive years, 2017 and 2018.

Professional Endeavors

Ms. Dharssini's professional endeavors are marked by her dedication to research and development in the field of Electrical and Electronics Engineering. She has engaged in various innovative projects, such as the simulation and analysis of a standalone microgrid for grid stability and modeling energy demand for an educational institution. Her current work focuses on an IoT-based demand side management and control scheme for smart grids. Additionally, she has gained valuable industrial exposure through her involvement in projects and collaborations.

Contributions and Research Focus

Ms. Dharssini has made significant contributions to the field of Electrical and Electronics Engineering, particularly in smart grid and renewable energy technologies. She is also exploring the burgeoning fields of machine learning and deep learning. Her research is supported by her proficiency in tools and software such as MATLAB, ETAP, Power World Simulator, Grafana, HOMER, DIG SILENT Power Factory Software, and PARAMICS. Her dedication to research is evident from her publications, which include two book chapters, seven conference papers, and five journal articles.

Accolades and Recognition

Ms. Dharssini's academic and research excellence have been widely recognized. In June 2023, she was selected for the "International Young Scientist Awards" under the category of "Best Researcher Award." Her commitment to continuous learning and skill enhancement is evident from her participation in numerous courses during the COVID-19 lockdown, including over five IEEE courses and five Coursera courses. Her efforts were further acknowledged when she received the "Savitha" scheme fellowship from Thiagarajar Research Fellowship in June 2022.

Impact and Influence

Ms. Dharssini's impact extends beyond her research contributions. She has actively participated in international conferences, where she has presented her work and engaged with the global academic community. Her involvement in initiatives such as the "Science and Technology Capacity Building for Industrial Needs" by the Tamil Nadu Council for Science and Technology in Chennai in 2019 highlights her commitment to applying her knowledge for industrial and societal benefits.

Legacy and Future Contributions

Ms. Vishnu Dharssini A.C's legacy in Electrical and Electronics Engineering is marked by her rigorous research, academic excellence, and dedication to continuous learning. As she continues her career, her contributions to smart grid technology, renewable energy systems, and the integration of machine learning in engineering are anticipated to advance the field significantly. Her ongoing research and professional endeavors promise to leave a lasting impact on the scientific community and pave the way for future innovations.

Notable Publications

Smart Energy Source Management in a Commercial Building Microgrid 2024

An Investigation on Static Reconfiguration of Solar Photovoltaic Panels by Adopting Arithmetic Array Modelling 2023 (1)

Deployment of IoT-Based Smart Demand-Side Management System with an Enhanced Degree of User Comfort at an Educational Institution 2023 (4)

Energy Pattern Classification and Prediction in an Educational Institution using Deep Learning Framework 2022 (5)

Liuxian Zhao | Engineering | Best Researcher Award

Posted on 01/06/202404/06/2024 by Book of Award

Assoc Prof Dr. Liuxian Zhao | Engineering | Best Researcher Award

Hefei University of Technology | China

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Early Academic Pursuits

Dr. Liuxian Zhao's journey in mechanical engineering began with a Bachelor's degree from Tianjin University of Science and Technology, China, in 2008. He then pursued two Master's degrees in Mechanical Engineering: the first in 2011 from Hefei University of Technology, China, focusing on the research of multi-step active disassembly methods, and the second in 2013 from the University of South Carolina, USA, where he explored ultrasound wave-based structural health monitoring. Dr. Zhao completed his Ph.D. in 2018 at the University of Notre Dame, USA, with a thesis on structural tailoring for tomographic damage detection, energy harvesting, and vibration control.

Professional Endeavors

Dr. Zhao's professional career includes significant academic and research positions. From 2015 to 2017, he was a Visiting Scholar at Purdue University, where he worked on frequency selective structures and structural health monitoring using electrical impedance tomography. As a Research Scientist at Nanyang Technological University from 2017 to 2018, he developed micro-/nano-scale porous materials for acoustic and vibrational impact mitigation. He then served as a Postdoctoral Research Associate at the University of Maryland from 2019 to 2022, focusing on structural Luneburg lenses for wave propagation manipulations. Currently, Dr. Zhao is an Associate Professor at Hefei University of Technology, where he explores acoustic metamaterials for enhanced sensing systems.

Contributions and Research Focus

Dr. Zhao's research interests encompass acoustic lenses, metamaterials, metasurfaces, phononic crystals, and acoustic black holes. His work on acoustic metamaterials aims to overcome limitations in detecting weak acoustic signals by enhancing signal-to-noise ratios. He has developed novel sensors and lenses for acoustic applications, contributing significantly to fields such as structural health monitoring, non-destructive testing, and energy harvesting. His research includes pioneering work on acoustic black holes for vibration control and energy harvesting.

Accolades and Recognition

Dr. Zhao's research excellence is reflected in his numerous publications and the prestigious grants he has secured. His work has been funded by notable institutions such as the National Nature Science Foundation of China (NSFC), the United States Department of Agriculture (USDA), and the US National Science Foundation (NSF). He has also served as a reviewer for various high-impact journals, further demonstrating his expertise and influence in the field of mechanical and acoustic engineering.

Impact and Influence

Dr. Zhao's contributions to the field of acoustic engineering have had a profound impact on both theoretical and applied aspects. His innovative approaches to manipulating wave propagation and improving acoustic sensing systems have advanced the capabilities of structural health monitoring and non-destructive evaluation. His work on Luneburg lenses and acoustic metamaterials has set new benchmarks in acoustic wave manipulation, influencing future research and technological developments.

Legacy and Future Contributions

Dr. Zhao's legacy is characterized by his innovative contributions to acoustic metamaterials and their applications. His ongoing research aims to further enhance acoustic sensing systems and explore new avenues in energy harvesting and vibration control. As an active researcher and educator, Dr. Zhao continues to inspire and mentor the next generation of engineers and scientists, ensuring that his pioneering work will have a lasting impact on the field of acoustic engineering.

Notable Publications

Resonant type Luneburg lens for broadband low frequency focusing 2024

Passive directivity detection of acoustic sources based on acoustic Luneburg lens 2023 (1)

Acoustic beam splitter based on acoustic metamaterial Luneburg lens 2023 (5)

A scalable high-porosity wood for sound absorption and thermal insulation 2023 (48)

Merve Asiler | Computer Science | Best Researcher Award

Posted on 31/05/202404/06/2024 by Book of Award

Ms. Merve Asiler | Computer Science | Best Researcher Award

Middle East Technical University | Turkey

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Early Academic Pursuits

Ms. Merve Asiler's academic journey began with an impressive performance at Yıldırım Beyazıt Science High School in Ankara, Turkey, where she graduated at the top of her class. She continued her education at the Middle East Technical University (METU) in Ankara, Turkey, earning dual bachelor's degrees in Computer Engineering and Mathematics. During her undergraduate studies, she developed a strong interest in algorithms, computer organization, operating systems, and computer graphics. She pursued her Master’s degree in Computer Engineering at METU, specializing in Big Data and Graph Databases, and is currently working towards her Ph.D. in Computer Engineering with a focus on Computer Graphics, Computational Geometry, and Digital Geometry Processing.

Professional Endeavors

Merve Asiler has accumulated extensive professional experience in both academia and industry. She has worked as a Research and Teaching Assistant at METU, where she has contributed to various courses, including Introduction to Computer Engineering Concepts, C Programming, Algorithms, and Computer Engineering Design. Her industry experience includes roles as a Software Developer at Accelerate Simulation Technologies, Turkish Aerospace, and Kale Yazilim. These roles involved developing software for unmeshed CAD geometries, engaging in modeling and simulation activities, and handling complex queries in large graph databases using Neo4j.

Contributions and Research Focus

Ms. Asiler's research primarily revolves around computer graphics, computational geometry, and digital geometry processing. Her Ph.D. research focuses on geometric kernel computation in 3D space, developing algorithms that outperform current methods for kernel computation. Her Master's research involved developing BB-Graph, a new subgraph isomorphism algorithm for querying big graph databases. This work was done in collaboration with Kale Yazilim and demonstrated significant performance improvements over existing algorithms.

Accolades and Recognition

Ms. Asiler has been recognized for her academic excellence with a GPA of 3.93/4.00 in her Ph.D. studies and 3.71/4.00 in her Master's program. She has published significant research papers, including a study on 3D geometric kernel computation in polygon mesh structures and a subgraph isomorphism algorithm for querying big graph databases. Her work has been published in reputable journals like Computers & Graphics and the Journal of Big Data.

Impact and Influence

Ms. Asiler's contributions to computer science, particularly in the areas of computer graphics and big data, have had a significant impact on both academia and industry. Her research on geometric kernels and graph databases has advanced the understanding and application of these complex areas. As a teaching assistant, she has influenced and mentored numerous students, preparing original programming assignments and supervising student projects.

Legacy and Future Contributions

Looking ahead, Ms. Asiler plans to leverage her expertise in mesh kernels to explore novel solutions for non-self-intersecting shape interpolation and star-shape decomposition problems. Her future contributions are likely to continue pushing the boundaries of computational geometry and computer graphics, benefiting both academic research and practical applications in various industries. With her strong foundation and ongoing commitment to research, Ms. Asiler is poised to make lasting contributions to the field of computer science.

Notable Publications

HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases 2022 (3)

Madhusmita Panda | Radiation Dosimetry | Best Researcher Award

Posted on 29/05/202429/05/2024 by Book of Award

Ms. Madhusmita Panda | Radiation Dosimetry | Best Researcher Award

Indira Gandhi Centre for Atomic Research | India

Author Profile

Scopus

Orcid

Early Academic Pursuits

Ms. Madhusmita Panda has demonstrated academic excellence throughout her educational journey. She completed her SSC at Kural School, Odisha, in 2010. Following this, she excelled in her Higher Secondary education at Nayagarh Junior College, Odisha, in 2012. She then pursued a B.Sc. in Physics from Ravenshaw University, Cuttack, Odisha, and graduated in 2015 with 86.27%. Her dedication to her studies continued at Utkal University, Bhubaneswar, Odisha, where she earned an M.Sc. in Physics with an impressive 92.05% in 2017. Additionally, she completed a Diploma in Nuclear Reactor Physics from BARC Training School, IGCAR, Kalpakkam, in 2019.

Professional Endeavors

Ms. Panda has accrued significant research experience, totaling four years in the field of luminescence dosimetry and electron paramagnetic resonance (EPR) spectroscopy. Her technical skills are robust, encompassing programming knowledge in MATLAB, FORTRAN, C, and C++. She has hands-on experience with sophisticated instruments such as the RISO TL/OSL Reader Model DA-20, the X-band EPR spectrometer (Bruker), and the FLS80 PL spectrometer.

Contributions and Research Focus

Ms. Panda’s research contributions are substantial, particularly in the domains of luminescence dosimetry and EPR spectroscopy. She has published multiple journal articles, including notable works on the use of surface mount multilayer ceramic capacitors as optically stimulated luminescent dosimeters and spectroscopic comparisons of tooth enamel separation methods for EPR retrospective dosimetry. Her research extends to conference papers presented at prominent forums, including studies on EPR fingernail dosimetry and investigations into OSL retrospective dosimetric methods.

Accolades and Recognition

Ms. Panda's dedication and achievements have been recognized with the Inspire Scholarship from the Department of Science and Technology, which she received from 2013 to 2017. This scholarship underscores her academic prowess and potential in the scientific field.

Impact and Influence

Ms. Panda's impact in the field of physics is evidenced by her prolific research output and her role in advancing the understanding of dosimetry techniques. Her work has influenced both academic circles and practical applications, contributing to the fields of radiation physics and safety.

Legacy and Future Contributions

Ms. Panda’s future contributions are poised to be influential, given her solid foundation in physics and her ongoing research activities. Her expertise in luminescence dosimetry and EPR spectroscopy is likely to continue driving advancements in these areas, benefiting both scientific research and practical applications in radiation safety and dosimetry. Her commitment to academic excellence and research innovation positions her as a promising leader in her field.

Notable Publications

Metal-Organic Frameworks as Optically Stimulated Luminescence Dosimeter 2023