Heng Luo | Computer Science | Best Researcher Award

Published on by Book of Award

Mr. Heng Luo | Computer Science | Best Researcher Award

The Hong Kong Polytechnic University | Hong Kong

Author Profile

Orcid 

Early Academic Pursuits 🎓

Mr. Heng Luo's academic journey is a testament to his commitment to excellence in engineering and technology. He began his higher education at the University of Electronic Science and Technology of China, earning a Bachelor's Degree in Electronic Engineering in 2012. This foundational education was followed by a Master’s Degree in the same field from the same institution in 2013. Heng Luo further expanded his academic horizons by pursuing two more Master’s degrees, one in Industrial and Systems Engineering from The Hong Kong Polytechnic University, and another in the Warwick Manufacturing Group at The University of Warwick, both completed in 2016. Currently, he is a PhD candidate at The Hong Kong Polytechnic University, where he continues to advance his research in The Institute of Textiles and Clothing.

Professional Endeavors 💼

In addition to his academic pursuits, Mr. Heng Luo has been actively involved in professional organizations. Since 2021, he has been a member of the Institution of Engineering and Technology and IEEE. His affiliation with IEEE also includes participation in the Young Professionals group, reflecting his dedication to staying at the forefront of technological advancements and contributing to the global engineering community.

Contributions and Research Focus 📚

Mr. Heng Luo's research and professional work have led to significant contributions in various fields. His expertise spans wearable systems, polymer degradation, hydrogel technology, and control systems. Notable among his works are publications like the "Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities" and "Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water." His research also includes innovative patents, such as those related to MIMO-OTH radar waveforms and machine learning-based article identification methods.

Accolades and Recognition 🏆

Throughout his career, Mr. Heng Luo has garnered recognition for his work, particularly in the realms of materials science and engineering. His contributions have been published in high-impact journals, and his patents demonstrate a strong application-oriented approach to research. He has also served as a peer reviewer for journals like Fibers and Polymers, showcasing his expertise and respected standing in the academic community.

Impact and Influence 🌍

Mr. Heng Luo's work has had a broad impact, particularly in the development of advanced materials and systems for practical applications. His research on wearable systems and polymer degradation has implications for both the healthcare industry and environmental sustainability. By integrating his engineering expertise with cutting-edge research, he has influenced the direction of technological development in these areas.

Legacy and Future Contributions 🌟

As Mr. Heng Luo continues his PhD research and professional activities, his future contributions are anticipated to further advance the fields of engineering and technology. His ongoing work promises to leave a lasting legacy, particularly in the areas of wearable technology and sustainable materials. As an emerging leader in his field, Mr. Heng Luo's future endeavors will likely continue to shape the landscape of modern engineering and contribute to global technological progress.

 

Publications 📚

📖 Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities

Authors: Heng Luo, Ying Xiong, Mingyue Zhu, Xijun Wei, Xiaoming Tao
Journal: Sensors
Year: 2024

📖 Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water

Authors: Qi Bao, Ziheng Zhang, Heng Luo, Xiaoming Tao
Journal: Polymers
Year: 2022

📖 Ionic Hydrogel for Efficient and Scalable Moisture‐Electric Generation

Authors: Heng Luo
Journal: Advanced Materials
Year: 2022

📖 Article Identification Method and Device Based on Machine Learning

Authors: Heng Luo
Journal: Patent
Year: 2020

📖 Observer-Based Control of Discrete-Time Fuzzy Positive Systems with Time Delays

Authors: Heng Luo
Journal: IFAC Proceedings Volumes
Year: 2013

 

Jiawen Xu | Engineering | Best Researcher Award

Published on by Book of Award

Assoc Prof Dr. Jiawen Xu | Engineering | Best Researcher Award

Southeast University | China

Author profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 📚

Dr. Jiawen Xu's academic journey began with his undergraduate studies at the University of Science and Technology of China, where he pursued a Bachelor’s degree in Precision Machinery and Precision Instrumentation from 2005 to 2009. His interest in advanced engineering led him to continue his studies at the same institution for his Master’s degree, focusing on the same field under the guidance of Professor Zhihua Feng. Dr. Xu's pursuit of higher knowledge took him to the University of Connecticut, Storrs, where he completed his Ph.D. in Mechanical Engineering in 2017, working under Professor Tang Jiong. His early academic pursuits laid a strong foundation for his research in mechanical piezoelectric metamaterials and structural health monitoring.

Professional Endeavors 🛠️

Since 2018, Dr. Xu has served as an Associate Professor at the School of Instrument Science and Engineering, Southeast University, Nanjing, China. His professional career is distinguished by his involvement in cutting-edge research and development projects. Dr. Xu has led several key projects funded by national and provincial programs, including research on piezoelectric metamaterials and energy harvesting systems. His role in these projects underscores his expertise in vibration energy harvesting, structural health monitoring, and mechanical metamaterials.

Contributions and Research Focus 🔬

Dr. Xu's research is characterized by his innovative work in mechanical piezoelectric metamaterials and structural health monitoring. His contributions include:

  • Mechanical Piezoelectric Metamaterials: Dr. Xu has developed signal processing methods for studying these materials, designed vibration modes, and explored vibration suspension using differential piezoelectric metamaterials.
  • Piezoelectric Impedance Structural Health Monitoring: His research involves advanced techniques such as tunable inductance enhanced 1D-CNN, deep learning/transformer-based monitoring, and temperature decoupling using piezoelectric impedance.
  • Gravity Wave Detection: Dr. Xu has worked on structural dynamics analysis and key technologies for mechanical differential measurement, utilizing deep learning for signal processing and denoising.
  • Piezoelectric Vibration Energy Harvesting: His work includes broadband energy harvesting, multi-directional harvesting by cantilever-pendulum systems, and enhancing power output density through strain smoothing effects.

Accolades and Recognition 🏅

Dr. Xu has been recognized for his contributions to the field of mechanical engineering through various prestigious awards and roles. He is a Fellow of the Jiangsu Instrumental Society and serves as the Deputy Director of the Youth Committee of the Jiangsu Instrumental Society. Additionally, he is an expert reviewer for several high-impact journals, including the IEEE Transactions on Industrial Electronics and the Journal of Applied Physics. His extensive publication record in leading journals further attests to his significant impact in the field.

Impact and Influence 🌟

Dr. Xu's research has had a profound impact on the fields of mechanical metamaterials and energy harvesting. His work on piezoelectric metamaterials and structural health monitoring has advanced the understanding and application of these technologies in various engineering contexts. His innovative approaches to energy harvesting and structural analysis have contributed to advancements in sustainable and efficient engineering solutions. Dr. Xu’s role as a reviewer and expert in several scientific communities highlights his influence in shaping the future of mechanical engineering research.

Legacy and Future Contributions 🔮

Dr. Xu’s ongoing research and leadership in the field of mechanical engineering continue to shape future advancements. His projects, such as those related to piezoelectric metamaterials and gravity wave detection, promise to push the boundaries of current technology and engineering practices. As he continues to explore new methodologies and applications, Dr. Xu is poised to leave a lasting legacy in the field, influencing both academic research and practical engineering solutions. His dedication to innovative research and his active role in professional societies ensure that his contributions will have a lasting impact on the engineering community.

 

Publications 📚

  • 📄 Modeling and Experimental Study of Vibration Energy Harvester with Triple-Frequency-Up Voltage Output by Vibration Mode Switching
    Authors: Jiawen Xu, Zhikang Liu, Wenxing Dai, Ru Zhang, Jianjun Ge
    Journal: Micromachines
    Year: 2024
  • 📄 Graded metamaterial with broadband active controllability for low-frequency vibration suppression
    Authors: Jian, Y., Hu, G., Tang, L., Huang, D., Aw, K.
    Journal: Journal of Applied Physics
    Year: 2024
  • 📄 Robustness analysis and prediction of topological edge states in topological elastic waveguides
    Authors: Tong, S., Sun, W., Xu, J., Li, H.
    Journal: Physica Scripta
    Year: 2024
  • 📄 Deep residual shrinkage network with multichannel VMD inputs for noise reduction of micro-thrust measurement
    Authors: Liu, Z., Chen, X., Xu, J., Zhao, L.
    Journal: AIP Advances
    Year: 2024
  • 📄 LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis
    Authors: Sun, W., Yan, R., Jin, R., Yang, Y., Chen, Z.
    Journal: IEEE Transactions on Reliability
    Year: 2024

 

Sartaj Khan | Environmental Science | Best Researcher Award

Published on by Book of Award

Dr. Sartaj Khan | Environmental Science | Best Researcher Award

Center for HydroTechnologies , CESAT Islamabad | United States

Author profile

Orcid

Google Scholar

Early Academic Pursuits 📘

Dr. Sartaj Khan's academic journey began at Quaid-i-Azam University in Islamabad, Pakistan. He completed his Master of Science (M.Sc.) in Physics in 2000 and subsequently earned a Master of Philosophy (M.Phil.) in Physics in 2001. His passion for the physical sciences led him to pursue a Doctor of Philosophy (Ph.D.) in Physical Oceanography & Atmospheric Sciences at the College of Underwater Acoustic Engineering, HEU China, which he completed in 2022.

Professional Endeavors 💼

Dr. Khan's professional career is marked by significant contributions to both academia and industry. He began as a Research Officer at the Centre for Hydro Technologies, CESAT, Islamabad, where he served from 2002 to 2017. He then joined the College of Underwater Acoustic Engineering, HEU China, as a Research Associate from 2017 to 2022. Currently, he is a Senior Research Associate at the Centre for Hydro Technologies, CESAT, Islamabad.

Contributions and Research Focus 🌊

Dr. Khan's research spans a wide array of critical topics in physical oceanography and atmospheric sciences, including:

  • Ocean-atmosphere interaction
  • Extreme ocean events and their impacts on climate
  • Ocean modeling and circulation dynamics (ENSO, IOD)
  • Remote sensing and ocean observation
  • Mesoscale ocean vortices (eddies)
  • Ocean acoustics

His work aims to enhance climate resilience, support sustainable marine resource management, and influence effective environmental policies.

Accolades and Recognition 🏆

Dr. Khan's excellence in research has been recognized with numerous awards and honors:

  • 2024: Excellent Paper Award, IEEE/0ES China Ocean Acoustics Conference
  • 2022: Best PhD Thesis Award, MDPI Academic Publisher, Switzerland ($1000)
  • 2022: Best Researcher Award, College of Underwater Acoustic Engineering China
  • 2017-2022: Chinese Government Scholarship Award for PhD Study ($38,600)

Impact and Influence 🌐

Dr. Khan's research has significantly impacted the field of physical oceanography and atmospheric sciences. His peer-reviewed publications and contributions to various journals, such as Remote Sensing, IEEE Journal of Oceanic Engineering, and Frontiers in Marine Science, have furthered our understanding of ocean dynamics and climate interactions. His h-index of 6 and 145 citations reflect his influence in the scientific community.

Legacy and Future Contributions Highlights 🌟

Looking ahead, Dr. Khan is committed to advancing the field of oceanography and atmospheric sciences through innovative research and collaboration. His legacy includes mentoring future scientists, co-supervising multiple theses, and serving as a guest editor for the International Journal of Atmospheric and Oceanic Sciences. His continued work aims to drive forward the knowledge and solutions necessary for addressing global environmental challenges.

 

Publications 📚

📝 A Novel Continuously Variable Transmission with Circumferentially Arranged Disks (CAD CVT)

  • Journal: Actuators
  • Year: 2024-06-03
  • Authors:  Muhammad Bilal, Qidan Zhu, Shafiq R. Qureshi, Ahsan Elahi, Muhammad Kashif Nadeem, Sartaj Khan

📝 Analysis of Underwater Acoustic Propagation under the Influence of Mesoscale Ocean Vortices

  • Journal: Journal of Marine Science and Engineering
  • Year: 2021-07-24
  • Authors: Sartaj Khan, Yang Song, Jian Huang, Shengchun Piao

📝 Variability of SST and ILD in the Arabian Sea and Sea of Oman in Association with the Monsoon Cycle

  • Journal: Mathematical Problems in Engineering
  • Year: 2021-06-23
  • Authors: Sartaj Khan, Shengchun Piao, Imran U. Khan, Bingchen Xu, Shazia Khan, Muhammad Asim Ismail, Yang Song, Bhawani Shankar Chowdhry

📝 Sea Surface Temperature Variability over the Tropical Indian Ocean during the ENSO and IOD Events in 2016 and 2017

  • Journal: Atmosphere
  • Year: 2021-05-01
  • Authors: Sartaj Khan, Shengchun Piao, Guangxue Zheng, Imran Ullah Khan, David Bradley, Shazia Khan, Yang Song

📝 Bayesian Inversion for Geoacoustic Parameters in Shallow Sea

  • Journal: Sensors
  • Year: 2020-04
  • Authors: Guangxue Zheng, 捍皓 祝, Xiaohan Wang, Sartaj Khan, Nansong Li, Yangyang Xue

 

 

Kalyanapu Srinivas | Computer Science | Best Researcher Award

Published on by Book of Award

Dr. Kalyanapu Srinivas | Computer Science | Best Researcher Award

Vaagdevi Engineering College | India

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Kalyanapu Srinivas embarked on his academic journey with a Bachelor of Technology (B.Tech) in Computer Science Engineering from Vidya Bharathi Institute of Technology, graduating in 2006 with First Division honors. He continued to advance his studies with a Master of Technology (M.Tech) in Software Engineering from Ramappa Engineering College in 2010, where he achieved Distinction with a 78.2% score. Further solidifying his academic prowess, Dr. Srinivas completed his Ph.D. in Cryptography & Network Security at JNTU, Hyderabad in 2020.

Professional Endeavors 💼

Dr. Srinivas has accumulated over 16 years of experience in academia. His professional journey includes roles such as Assistant Professor at various institutions, including Vaagdevi Engineering College, Kakatiya Institute of Technology and Science, and SR Engineering College. His tenure in these roles highlights his commitment to advancing the field of computer science and engineering. Notably, he has been involved in teaching, research, and academic administration.

Contributions and Research Focus 🔬

Dr. Srinivas’s research primarily focuses on Cryptography and Network Security, with a keen interest in Data Mining, Cloud Computing, and Quantum Computing. His Ph.D. thesis, titled "Novel Techniques for Image-Based Key Generation using Chinese Remainder Theorem and Chaotic Logistic Maps," reflects his innovative approach to enhancing security protocols. Additionally, his ongoing research guidance includes supervising several Ph.D. students in areas such as Wireless Networks and Cloud Computing.

Accolades and Recognition 🏆

Dr. Srinivas has earned significant recognition throughout his career. His work in machine learning and cryptography has led to the publication of a patent on Alzheimer's prediction using machine learning. He has also been honored as a session chair at the International Conference on Research in Science, Engineering, Technology, and Management (ICRSETM2020) and served as a guest speaker at SAFER INTERNET DAY 2023. His expertise has been acknowledged through editorial and review roles for various conferences and journals.

Impact and Influence 🌍

Dr. Srinivas’s contributions extend beyond his research. His involvement in organizing and participating in short-term training programs (STTP) on IoT simulation and fog computing showcases his dedication to fostering knowledge and innovation in emerging technologies. His role as a primary evaluator for TOYCATHON 2021 further emphasizes his influence in shaping the future of technology education and development.

Legacy and Future Contributions 🚀

Looking ahead, Dr. Srinivas is poised to continue making impactful contributions to the fields of cryptography and network security. His research initiatives and academic leadership are expected to drive advancements in secure computing and innovative technologies. As he mentors the next generation of researchers and contributes to cutting-edge research, his legacy in the academic and professional realms will undoubtedly endure, inspiring future advancements in technology and education.

 

Publications 📚

  • Article: Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
    Authors: Stateczny, A., Narahari, S.C., Vurubindi, P., Guptha, N.S., Srinivas, K.
    Journal: Remote Sensing
    Year: 2023
  • Article: User-segregation based channel estimation in the MIMO system
    Authors: Patra, R.K., Kumar, M.H., Srinivas, K., Sekhar, P.C., Subhashini, S.J.
    Journal: Physical Communication
    Year: 2023
  • Book Chapter: An Enhancement in Crypto Key Generation Using Image Features with CRT
    Authors: Srinivas, K., Kumar, N.S., Sanathkumar, T., Rama Devi, K.
    Book: Cognitive Science and Technology
    Year: 2023
  • Article: Plant disease classification using deep bilinear CNN
    Authors: Rao, D.S., Ramesh Babu, C., Kiran, V.S., Mohan, G.S., Bharadwaj, B.L.
    Journal: Intelligent Automation and Soft Computing
    Year: 2022
  • Article: Symmetric key generation algorithm using image-based chaos logistic maps
    Authors: Srinivas, K., Janaki, V.
    Journal: International Journal of Advanced Intelligence Paradigms 🧠
    Year: 2021

 

Fang Wang | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Published on by Book of Award

Dr. Fang Wang | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Maastricht University | Netherlands

Author Profile

Scopus

Orcid

Early Academic Pursuits 📚

Dr. Fang Wang's academic journey began with a Bachelor’s degree in Pharmacology from Nanchang University, where she developed an oxidative stress model in LO2 cells to test stress amelioration compounds. She continued her studies with a Master's degree in Cell Biology at the same university, focusing on the role of progesterone adiponectin receptor 7 in reproduction and differences in protein post-translational modifications. Currently, she is pursuing a PhD in Cell Biology at Maastricht University, investigating substrate metabolism in diabetic cardiomyopathy and novel treatments using bioactive components from Traditional Chinese Medicine.

Professional Endeavors 🔬

With over seven years of experience, Dr. Wang has built a strong foundation in preclinical research, drug development, scientific communication, and project management. Her professional career includes internships at Shanghai ChemPartner Co., Ltd. and Jiangxi Zhby Biotech Co. Ltd., where she gained hands-on experience in molecular biology testing and research planning. Her current roles involve significant contributions to research in metabolic disorders and male infertility, with a focus on protein translocation and endosome pH regulation.

Contributions and Research Focus 🌟

Dr. Wang’s research primarily targets the intersection of metabolic disorders and drug development, specifically focusing on diabetic cardiomyopathy and the impact of Traditional Chinese Medicine on cardiac health. Her work includes investigating novel treatment strategies and exploring the mechanisms of substrate metabolism, protein translocation, and endosome pH regulation. Her expertise spans a wide range of molecular and cell biology techniques, including advanced imaging and bioinformatics.

Accolades and Recognition 🏆

Dr. Wang has made notable contributions to the field through her publications and presentations at various conferences. Her research on lipid-induced contractile dysfunction and diabetic cardiomyopathy has been recognized in leading journals and upcoming publications. Her work is highly regarded in the scientific community, reflecting her commitment to advancing healthcare solutions.

Impact and Influence 🌍

Dr. Wang's research has a profound impact on understanding and treating metabolic disorders, particularly in diabetic cardiomyopathy. Her innovative approaches and exploration of traditional medicine offer promising solutions for improving patient outcomes and advancing the field of metabolic disease research. Her contributions are shaping new therapeutic strategies and enhancing the quality of life for patients.

Legacy and Future Contributions 🚀

Dr. Wang's future endeavors are set to further explore and develop cutting-edge healthcare solutions. Her ongoing research aims to refine treatment strategies for metabolic disorders and improve the efficacy of drug development. By integrating advanced techniques and traditional medicine, she is poised to make significant strides in the field, contributing to a healthier future and advancing scientific knowledge.

 

Publications 📕

  • 📝 Specific Compounds Derived from Traditional Chinese Medicine Ameliorate Lipid-Induced Contractile Dysfunction in Cardiomyocytes
    • Authors: Fang Wang, Dietbert Neumann, Dimitrios Kapsokalyvas, Martijn Hoes, Francesco Schianchi, Jan Glatz, Miranda Nabben, Joost J. F. P. Luiken
    • Journal: International Journal of Molecular Sciences
    • Year: 2024
  • 📝 Glycolysis-Mediated Activation of v-ATPase by Nicotinamide Mononucleotide Ameliorates Lipid-Induced Cardiomyopathy by Repressing the CD36-TLR4 Axis
    • Authors: Shujin Wang, Han YinYing, Ruimin Liu, Hou M, Dietbert Neumann, Jun Zhang, Wang F, Yumeng Li, Zhao X, Francesco Schianchi et al.
    • Journal: Circulation Research
    • Year: 2024
  • 📝 Progestin and adipoQ receptor 7 (PAQR7) mediate the anti-apoptotic effect of P4 on human granulosa cells and its deficiency reduces ovarian function in female mice
    • Authors: Li J, Liu Y, He J, Wu Z, Wang F, Huang J, Zheng L, Luo T
    • Journal: Journal of Ovarian Research
    • Year: 2024
  • 📝 CD36 as a target for metabolic modulation therapy in cardiac disease
    • Authors: Glatz JFC, Wang F, Miranda Nabben, Luiken JJFP
    • Journal: Expert Opinion on Therapeutic Targets
    • Year: 2021
  • 📝 Diet-induced obesity is associated with altered expression of sperm motility-related genes and testicular post-translational modifications in a mouse model
    • Authors: Wang F, Chen H, Chen Y, Cheng Y, Li J, Zheng L, Zeng X, Luo T
    • Journal: Theriogenology
    • Year: 2020

 

Georgiana Burlacu | Economics, Econometrics and Finance | Best Researcher Award

Published on by Book of Award

Ms. Georgiana Burlacu | Economics, Econometrics and Finance | Best Researcher Award

Alexandru Ioan Cuza University | Romania 

Author Profile

Orcid

Early Academic Pursuits 📚

Ms. Georgiana Burlacu began her academic journey at the Faculty of Economics and Business Administration at "Alexandru Ioan Cuza" University in Iasi, Romania. She earned her Bachelor's degree in 2020, focusing on a comprehensive range of subjects including Fundamentals of Accounting, Financial Accounting, and Corporate Finance Management. She continued her education with a Master's degree from the same university, completed in 2022, delving deeper into IAS-IFRS, Financial Diagnosis, and Audit Standards. Currently, she is pursuing her PhD at the Doctoral School of Economics and Business Administration, specializing in Accounting, Financial Auditing, and Quantitative and Qualitative Analysis.

Professional Endeavors 💼

Ms. Burlacu's professional career is marked by significant roles in accounting and economics. She started as an Accountant at IMA Componentes Iasi SRL, where she was responsible for recording and archiving accounting documents, managing internal documents, and maintaining customer and supplier relationships. She then moved to AWWWDUDE SRL as an Accountant, where she continued her previous responsibilities and participated in annual inventory processes. Currently, she serves as an Economist at Thinslices Development SRL, Iasi, Romania, focusing on the analysis and tracking of supplier balances and internal document management.

Contributions and Research Focus 📝

Ms. Burlacu has made notable contributions to the field of accounting and financial auditing. Her research primarily focuses on financial fraud, earnings management, and the impact of global crises on financial practices. She has published several papers, including "The Influence of Covid-19 Pandemy on Financial Fraud Risk Assessment" and "Analysis of Accruals Earnings Management Using the Jones Model: The Case of Romania Listed Companies." Her work often incorporates advanced methodologies such as the Fraud Pentagon Theory and Logistic Regression Analysis.

Accolades and Recognition 🏆

Ms. Burlacu's dedication and expertise have been recognized through various awards and honors. She received the Medal of Excellence in Innovation for her work on fraud risk analysis during the Covid-19 pandemic at the 15th EUROINVENT 2023. Additionally, she earned a Silver Medal for her innovative approach to fraud risk assessment using artificial neural networks at the 16th EUROINVENT 2024. Her academic achievements also include high rankings in her bachelor's and master's studies and the publication of influential research articles.

Impact and Influence 🌍

Ms. Burlacu's research has significantly impacted the field of financial auditing and accounting. Her studies on financial fraud and earnings management provide valuable insights into the challenges and solutions faced by professionals in these domains. Her work during the Covid-19 pandemic highlighted the increased risks of financial fraud during crises, influencing how organizations approach fraud risk management. Her innovative use of statistical and computational models has set new standards for fraud detection and financial analysis.

Legacy and Future Contributions 🌟

Looking forward, Ms. Burlacu is poised to continue her impactful research and contribute further to the field of economics and accounting. Her ongoing PhD studies promise to yield more groundbreaking insights into financial auditing and fraud prevention. With her solid academic background, professional experience, and research prowess, Ms. Burlacu is set to leave a lasting legacy in the world of financial analysis and auditing. Her future contributions will likely continue to shape best practices and innovative approaches in the industry.

 

Publications  📚

📝Exploring the Influence of Earnings Management on the Value Relevance of Financial Statements: Evidence from the Bucharest Stock Exchange

  • Authors: Georgiana Burlacu; Ioan-Bogdan Robu; Ionela Munteanu
  • Journal: International Journal of Financial Studies
  • Year: 2024

📝The Influence of Covid-19 Pandemic on Financial Fraud Risk Assessment

  • Authors: Georgiana Burlacu; Ioan-Bogdan Robu
  • Journal: “Ovidius” University Annals, Economic Sciences Series
  • Year: 2023
📝Analysis of Accruals Earnings Management Using the Jones Model: The Case of Romania Listed Companies
  • Authors: Georgiana Burlacu; Ioan-Bogdan Robu
  • Journal: Journal of Accounting and Management Information Systems
  • Year: 2024

📝Financial Fraud: Challenges and Solutions for Financial Auditing and Accounting Professionals – a Bibliometric Research

  • Authors: Georgiana Burlacu; Ioan-Bogdan Robu
  • Journal: Audit Financiar
  • Year: 2024

 

Sudeb Pal | Environmental Science | Best Researcher Award

Published on by Book of Award

Mr. Sudeb Pal | Environmental Science | Best Researcher Award

University of Calcutta | India

Author profile

Orcid

🎓 Early Academic Pursuits

Mr. Sudeb Pal began his academic journey with a Bachelor of Arts in Geography from D.L. College, Krishnagar, under the University of Kalyani. Graduating with top honors, he was the University Second Rank Holder in 2018. He furthered his studies with a Master's in Geography from the University of Calcutta, where he excelled academically, securing a First Class in 2020. He is currently pursuing his Ph.D. in Geography from Ballygunge Science College Campus, University of Calcutta, focusing on the transformation of gentrified neighborhoods in Mumbai.

🏢 Professional Endeavors

Mr. Pal served as a faculty member at Merit Academy in Kolkata from 2019 to 2021, teaching social science to students across CBSE, ICSE, and WBSE boards. His practical skills include field surveys, data collection, analysis, and presentation, demonstrating his ability to engage effectively with students, teachers, and the general public. He also holds a Master's in Population Studies from the International Institute for Population Sciences, Mumbai, where he specialized in population dynamics, migration studies, urban studies, and regional planning.

📚 Contributions and Research Focus

Mr. Pal's research interests are centered on urban gentrification, neighborhood transformations, and the (re)production of space, particularly within the creative and service industries. His research work includes the modeling and simulation of semiconductor devices, with expertise in software tools such as QGIS, SPSS, GeoDa, Zotero, NVivo, and a Diploma in Computer. His Ph.D. research, titled "Transformations in Gentrified Neighbourhoods: Evidences from the Erstwhile Mill-Workers’ Colonies in Mumbai," is supervised by prominent professors at NIT Silchar.

🏅 Accolades and Recognition

Mr. Pal has received numerous awards and recognitions for his academic and research excellence. He qualified for the UGC NET JRF in Geography with an All India Rank of 132 in 2022. He was also awarded a Government of India Fellowship at IIPS Mumbai from 2020 to 2022, the Swami Vivekananda Merit Cum Means Scholarship from 2018 to 2020, and the Oasis Scholarship. His scholarly achievements include being a University Second Rank Holder for his B.A. in Geography and securing a First Class in his M.A. in Geography.

🌍 Impact and Influence

Mr. Pal's research has been widely recognized, with publications in esteemed journals. His notable works include studies on the physico-chemical properties of drinking water and the impact of gentrification on textile mill workers in Mumbai. He has presented papers at international conferences, such as the RSAi conference in collaboration with TISS in Mumbai and the International Conference on Migration & Sustainable Development.

🔮 Legacy and Future Contributions

Mr. Pal's legacy in the field of geography is marked by his dedication to understanding and addressing urban transformation and population dynamics. He has actively participated in seminars and workshops on data analysis, academic writing, and spatial analysis, sharing his knowledge and expertise with the academic community. As a life member of the Regional Science Association in India and an annual member of The Geographical Society of India, he continues to contribute to the advancement of geographical sciences. His future endeavors aim to further explore and address the complexities of urbanization and migration, leaving a lasting impact on the field.

 

Publications 📚

  • Assessing Vulnerabilities and Resilience in the Indian Sundarbans: A Case Study of Gosaba C.D Block, West Bengal, India
    • Authors: Sudeb Pal, Sumana Bandyopadhyay
    • Journal: International Journal of Disaster Risk Reduction
    • Year: 2024
  • Investigating the Physico-Chemical Properties of Drinking Water: A Case Study of South Twenty-Four Parganas, West Bengal
      • Authors: Chandan Roy, Saurav Kumar, Vishwambhar Prasad Sati, Sudeb Pal
      • Journal: SN Social Sciences
      • Year: 2023

Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Published on by Book of Award

Dr. Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Indian Institute of Tropical Meteorology | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Bipin Kumar's academic journey began with a Bachelor of Science in Physical Sciences from the University of Allahabad in 1995, followed by a Master of Science in Mathematics from IIT Kanpur in 1998. He then pursued an MS in Research (Mathematics) at the National University of Singapore in 2006, focusing on computational methods for phase-field models. His quest for deeper expertise led him to earn a Ph.D. in Computing from Dublin City University in 2009, with a thesis on high-performance computing for multiphase fluid flows.

Professional Endeavors

Dr. Kumar’s career spans over two decades, encompassing roles in academia, research institutions, and industry. His notable positions include:

  • Scientist and Research Guide at IITM, Pune, India.
  • Associate Professor at Savitribai Phule Pune University.
  • Visiting Scientist at NCAR, Boulder, USA, and Visiting Faculty at McGill University, Canada.
  • Associate Faculty at the International Center for Theoretical Sciences, Bengaluru, India.
  • Scientist at Max-Planck-Institute for Meteorology, Germany.

He has held various teaching and research positions, contributing to advancements in high-performance computing, data science, and atmospheric physics.

Contributions and Research Focus

Dr. Kumar's research is centered around:

  • Data Science and AI/ML: Developing parallel Python routines and deep learning algorithms for weather forecasting, data downscaling, fire forecasting, and more.
  • Atmospheric Physics: Studying cloud droplet and aerosol dynamics using DNS.
  • High-Performance Computing (HPC): Enhancing parallel code for CFD problems, 3D visualization, and parallel I/O optimization.
  • Numerical Linear Algebra: Creating parallel algorithms for solving large linear systems of equations.

Accolades and Recognition

Dr. Kumar has received several prestigious awards:

  • DCU Teaching Excellence Nominee Award (2008)
  • Microsoft Postgraduate Research Scholarship (Ireland, 2007-08)
  • DCU Dean’s Connect Scholarship (Ireland, 2006-09)
  • NUS Research Scholarship (Singapore, 2004-06)
  • CSIR Senior Research Fellowship (India, 2004)

Impact and Influence

Dr. Kumar’s work has significantly influenced fields such as HPC, data science, and atmospheric physics. His contributions to developing computational methods for complex fluid flows and forecasting systems have advanced our understanding of cloud dynamics and weather patterns. His research has impacted both theoretical and practical aspects of meteorology and data analysis.

Legacy and Future Contributions

Dr. Kumar aims to broaden his impact through continued research and teaching. By leveraging his expertise in HPC, data science, and cloud microphysics, he aspires to address critical challenges in earth science and contribute to the development of innovative solutions for climate and environmental issues.

 

   Publications

  • Deep learning-based bias correction of ISMR simulated by GCM
    Authors: Sumanta Chandra Mishra Sharma, Bipin Kumar, Adway Mitra, Subodh Kumar Saha
    Journal: Atmospheric Research
    Year: 2024

 

  • Harnessing deep learning for forecasting fire-burning locations and unveiling PM2.5 emissions
    Authors: Gaikwad, S., Kumar, B., Yadav, P.P., Rao, S.A., Ghude, S.D.
    Journal: Modeling Earth Systems and Environment
    Year: 2024

 

  • Machine learning based quantification of VOC contribution in surface ozone prediction
    Authors: Kalbande, R., Kumar, B., Maji, S., Rathore, D.S., Beig, G.
    Journal: Chemosphere
    Year: 2023

 

  • On the modern deep learning approaches for precipitation downscaling
    Authors: Kumar, B., Atey, K., Singh, B.B., Nanjundiah, R.S., Rao, S.A.
    Journal: Earth Science Informatics
    Year: 2023

 

  • A modified deep learning weather prediction using cubed sphere for global precipitation
    Authors: Singh, M., Acharya, N., Patel, P., Nanjundiah, R.S., Niyogi, D.
    Journal: Frontiers in Climate
    Year: 2023

 

 

 

 

 

 

Sasank V.V.S | Computer Science | Best Researcher Award

Published on by Book of Award

Assist Prof Dr. Sasank V.V.S | Computer Science | Best Researcher Award

K L University | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Sasank V.V.S. exhibited a strong academic foundation from the outset. He completed his secondary education at Jassver English Medium School in 2007 with a First Class distinction, scoring 72.66%. He continued to excel in his Intermediate studies at Mega Junior College, graduating in 2009 with an 84.1% mark, also achieving First Class. His academic journey progressed to higher education at Gitam Institute of Technology, GITAM University, where he obtained his B.Tech in Information Technology in 2013 with a CGPA of 8.15, earning a Distinction. He further advanced his education with an M.Tech in Computer Science and Technology from the same institution, graduating in 2016 with a remarkable 9.11 CGPA, securing the top rank in his department. Dr. Sasank completed his Ph.D. at K.L. University in 2023, marking a significant milestone in his academic career.

Professional Endeavors

Dr. Sasank has a rich professional background in both academia and industry. He began his teaching career as a Teaching Assistant in the CSE Department at Gitam University from October 2015 to April 2016. He then served as an Assistant Professor at the Lendi Institute of Engineering & Technology, VIZIANAGARAM, from June 2016 to April 2017. Following this, he joined Anil Neerukonda Institute of Technology & Sciences (ANITS) as an Assistant Professor and Placement Officer from June 2017 to April 2019. He has been affiliated with K L University since July 2019, initially in the CSE Department and later in the CSIT Department, where he also served as the ERP Registration In-charge. His teaching repertoire includes subjects such as DBMS, Software Engineering, Computer Architecture & Organization, Term Paper, UI/UX Design, and DevOps.

Contributions and Research Focus

Dr. Sasank's research primarily focuses on advanced topics in computer science and engineering. His areas of interest include brain tumor classification, real-time traffic management using IoT and machine learning techniques, and the evolution of modern women in literature. He has published a significant number of papers in reputed journals, including  SCI papers and several Scopus-indexed articles. His notable publications include works on hybrid deep neural networks, automatic tumor growth prediction, and brain tumor classification using modified kernel-based softplus extreme learning machines. Additionally, he has guided numerous B.Tech and M.Tech project batches, contributing to the academic growth of his students.

Accolades and Recognition

Dr. Sasank has received several accolades for his academic and research achievements. He was the top ranker in his M.Tech program at Gitam University in 2016. He has published 18 papers, including SCI, Scopus, and WOS-indexed journals, and has contributed to two book chapters. His innovative research has led to the publication of two patents: one on real-time traffic management using IoT and machine learning techniques, and another on the evolution of modern women in Manju Kapur’s novels. Additionally, he has earned global certifications, including Google Associate Cloud Engineer and AWS Cloud Practitioner, and has presented his research at various international conferences.

Impact and Influence

Dr. Sasank's contributions to the field of computer science and engineering have had a significant impact on both academic and practical applications. His research on brain tumor classification and real-time traffic management has potential real-world implications, advancing the fields of medical imaging and smart city technologies. As an educator, he has influenced many students through his teaching and mentorship, guiding them in their academic and research endeavors.

Legacy and Future Contributions

Dr. Sasank's ongoing research and academic activities are expected to leave a lasting legacy in the field of computer science and engineering. His contributions to brain tumor classification and IoT-based traffic management are poised to influence future research and development in these areas. As he continues to publish and present his work, Dr. Sasank is likely to inspire and mentor the next generation of engineers and researchers, ensuring continued innovation and excellence in his field.

 

Notable Publications

Prostate cancer classification using adaptive swarm Intelligence based deep attention neural network 2024

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images 2023

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images 2022 (14)

An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour 2022 (27)

Hate Speech & Offensive Language Detection Using ML &NLP 2022 (4)

 

 

 

 

Lin Guo | Computer Science | Excellence in Innovation Award

Published on by Book of Award

Mr. Lin Guo | Computer Science | Excellence in Innovation Award

Huazhong University of Science and Technology | China

Author Profile

Scopus

Early Academic Pursuits

Mr. Lin Guo embarked on his academic journey with a strong foundation in Computer Science and Technology at Zhengzhou University, where he graduated with distinction as one of the top students. Building on this success, he pursued postgraduate studies in Artificial Intelligence at Huazhong University of Science and Technology, demonstrating a keen interest in advanced technologies and research methodologies.

Professional Endeavors

Mr. Guo's professional career is marked by significant contributions in the field of artificial intelligence and computer vision. His internship at Megvii Technology's Shanghai Research Institute focused on developing cutting-edge algorithms for AVP parking semantic mapping, addressing challenges in SLAM optimization and multi-frame fusion mapping. His role as a key engineer underscored his ability to innovate and implement complex solutions in real-world applications.

Contributions and Research Focus

Lin Guo has made substantial contributions to the field through his research publications and project involvements. His research spans point cloud registration, 3D registration efficiency, and advanced methods in SLAM and VIO positioning. His work on optimizing point cloud feature learning and overcoming feature ambiguity in different reference systems has been acknowledged for its innovation and practical relevance.

Accolades and Recognition

His academic achievements and research prowess have been recognized with numerous honors, including being an Outstanding Graduate of Henan Province and receiving prestigious scholarships from Zhengzhou University and Huazhong University of Science and Technology. His contributions to accepted and submitted papers in leading conferences and journals highlight his growing influence in the academic community.

Impact and Influence

Lin Guo's research has made a significant impact on the fields of computer vision and robotics, particularly in enhancing the accuracy and efficiency of point cloud registration and SLAM technologies. His methods have set benchmarks in performance on diverse datasets, demonstrating their applicability across indoor and outdoor environments.

Legacy and Future Contributions

Looking ahead, Lin Guo aims to continue pushing the boundaries of artificial intelligence and robotics. His future contributions are expected to further advance state-of-the-art techniques in SLAM optimization, 3D registration, and autonomous systems. By bridging theoretical insights with practical applications, he seeks to foster advancements that positively impact industries and society at large.

 

Notable Publications

Learning compact and overlap-biased interactions for point cloud registration 2024

SC 2-PCR++: Rethinking the Generation and Selection for Efficient and Robust Point Cloud Registration 2023 (9)

One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration 2022 (5)