Tag: DigitalTransformation

👨‍🎓 Bio Summary:

Dr. Mohsen Moradi is a highly accomplished researcher with over a decade of experience in coding theory, quantum error correction, and wireless communications. His expertise extends to machine learning, deep learning, and reinforcement learning, where he has made significant contributions. His research has advanced next-generation communication systems and quantum computing applications, earning him recognition for his innovative work in high-rate channel coding and data compression. Dr. Moradi has a strong academic foundation and has collaborated with leading researchers and institutions around the world.

🎓 Educational Background:

Dr. Moradi holds a Ph.D. in Electrical and Electronics Engineering from Bilkent University, Turkey, where he studied under the guidance of Prof. Erdal Arıkan, a Claude E. Shannon Award winner and father of polar codes. His thesis, “Performance and Computational Analysis of Polarization-Adjusted Convolutional (PAC) Codes”, focused on improving coding techniques for high-speed communications. Prior to this, he earned his M.S. in Coding Theory from Tehran Polytechnic (Amirkabir University of Technology) in Iran, where he worked on constructing polar codes for capacity-achieving communication channels. He has also pursued postdoctoral research at Northeastern University, New Mexico State University, and Bilkent University, focusing on quantum error correction, reinforcement learning-aided decoding, and massive access solutions for next-generation wireless systems.

🔍 Research Focus:

Dr. Moradi’s research centers on designing advanced error-correcting codes (ECC) such as polar codes, PAC codes, LDPC codes, and quantum error correction codes. His work addresses key challenges in wireless communication, machine learning, and cryptography, with a special focus on improving the reliability and efficiency of data transmission. He is particularly interested in the intersection of coding theory with quantum computing, where his research on coding for quantum key distribution has potential applications in secure communication. Additionally, his expertise in reinforcement learning and deep learning provides valuable insights for optimizing decoding algorithms in communication systems.

🏆 Honors & Awards:

Throughout his career, Dr. Moradi has contributed extensively to high-impact research but is yet to be formally recognized with major research awards. However, his work with top-tier institutions and publication in prestigious journals highlights the significance of his contributions to the field of communications and quantum computing. As a respected reviewer, he has conducted over 200 reviews for various journals and conferences, further cementing his role as a key contributor in his research community.

💼 Professional Experience:

Dr. Moradi has held multiple postdoctoral research positions, currently serving as a Postdoctoral Research Associate at Northeastern University. Previously, he conducted postdoctoral research at New Mexico State University and Bilkent University. In these roles, he has worked on projects funded by the NSF and other agencies, focusing on high-rate block coding, quantum error correction, and machine learning applications for decoding algorithms. He has also been involved in teaching various courses such as probability, coding theory, machine learning, and engineering mathematics across several academic institutions, sharing his knowledge with students in both theoretical and applied areas.

📚 Top Noted Publications :

Performance and Complexity of Sequential Decoding of PAC Codes
Authors: M. Moradi, A. Mozammel, K. Qin, E. Arıkan
Citations: 33
Published in: arXiv preprint, arXiv:2012.04990
Year: 2020

On Sequential Decoding Metric Function of Polarization-Adjusted Convolutional (PAC) Codes
Authors: M. Moradi
Citations: 31
Published in: IEEE Transactions on Communications, 69 (12), 7913-7922
Year: 2021

A Monte-Carlo Based Construction of Polarization-Adjusted Convolutional (PAC) Codes
Authors: M. Moradi, A. Mozammel
Citations: 25
Published in: arXiv preprint, arXiv:2106.08118
Year: 2021

Combining and Steganography of 3D Face Textures
Authors: M. Moradi, M. R. Sadeghi
Citations: 10
Published in: Journal of Electrical and Computer Engineering Innovations (JECEI), 5 (2), 93-100
Year: 2017

A Tree Pruning Technique for Decoding Complexity Reduction of Polar Codes and PAC Codes
Authors: M. Moradi, A. Mozammel
Citations: 8
Published in: IEEE Transactions on Communications, 71 (5), 2576-2586
Year: 2023

Conclusion:

Based on his expertise in cutting-edge fields such as quantum error correction, machine learning, and advanced coding theory, combined with his significant publication record and interdisciplinary research, Mohsen Moradi would be a strong candidate for the Best Researcher Award. His technical contributions, particularly in next-generation wireless communication systems and quantum error correction, reflect a deep commitment to pushing the boundaries of current technologies. However, gaining more recognition through leadership roles and awards could further elevate his profile in the research community, making him an even stronger contender for such prestigious accolades.

Assist Prof Dr Pelin Canbay | Artificial Intelligence | Best Researcher Award |

Posted on 27/09/202427/09/2024 by ScienceFather

Assist Prof Dr. Pelin Canbay | Artificial Intelligence | Best Researcher Award

Kahramanmaras Sutcu Imam University, Turkey

Professional Profiles:

👨‍🎓 Bio Summary:

Assist. Prof. Dr. Pelin Canbay is a dedicated researcher and educator in computer engineering, currently serving at Kahramanmaraş Sütçü İmam University. She holds a Ph.D. in computer science, with her research focusing on artificial intelligence, machine learning, and privacy-preserving technologies. Dr. Canbay has contributed significantly to fields such as authorship verification, privacy-sensitive AI systems, and healthcare applications. With numerous publications in prestigious international journals, she is recognized for her interdisciplinary approach to solving complex problems. In addition to her research, she actively mentors graduate students and plays a key role in university administration, contributing to both academic governance and quality assurance.

🎓 Educational Background:

Assist. Prof. Dr. Pelin Canbay earned her Ph.D. in 2020 with a thesis focused on author-independent authorship verification systems, building on her master’s thesis (2015) in the area of anonymity and data-sharing models for healthcare services. She completed her Bachelor’s degree in 2011 and has since developed a strong foundation in computer science, particularly in theoretical frameworks of computer engineering.

🔍 Research Focus:

Dr. Canbay’s research spans multiple areas, including artificial intelligence, machine learning, privacy-preserving technologies, and authorship verification. She has contributed significantly to applying AI in healthcare, privacy systems, and language processing, particularly in low-resource environments. Her work bridges the gap between technical innovation and practical applications, as seen in projects like privacy-sensitive AI for COVID-19 detection and big data architectures for author verification.

🏆 Honors & Awards:

Throughout her academic journey, Dr. Canbay has received recognition for her research efforts and contributions. She has led and participated in national research projects funded by higher education institutions, demonstrating her leadership and commitment to advancing knowledge in AI and data privacy.

💼 Professional Experience:

Dr. Canbay currently serves as an Assistant Professor at Kahramanmaraş Sütçü İmam University, where she also held a research assistant position from 2020 to 2022. Before that, she was a research assistant at Hacettepe University from 2012 to 2020. Her administrative roles include membership in the Quality Council and various commissions within the university’s Engineering Faculty, showcasing her active involvement in academic governance and quality assurance.

📚 Top Noted Publications :

Privacy Concerns and Measures in the Metaverse: A Review
Authors: Y. Canbay, A. Utku, P. Canbay
Citation: 2022 15th International Conference on Information Security and Cryptography
Index: 32
Year of Publication: 2022

The Effect of Clustering on Data Privacy
Authors: P. Canbay, H. Sever
Citation: 2015 IEEE 14th International Conference on Machine Learning and Applications
Index: 18
Year of Publication: 2015

Endüstri 5.0’a Doğru: Zeki Otonom Sistemlerde Etik ve Ahlaki Sorumluluklar
Authors: P. Canbay, Z. Demircioglu
Citation: AJIT-e: Bilişim Teknolojileri Online Dergisi, 12(45), 106-123
Index: 13
Year of Publication: 2021

Hate Speech and Offensive Content Identification with Graph Convolutional Networks
Authors: N. Bölücü, P. Canbay
Citation: FIRE (Working Notes), 44-51
Index: 11
Year of Publication: 2021

Deep Combination of Stylometry Features in Forensic Authorship Analysis
Authors: P. Canbay, E. Akcapinar Sezer, H. Sever
Citation: International Journal of Information Security Science, 9(3), 154-163
Index: 6
Year of Publication: 2020

Conclusion:

Pelin Canbay demonstrates strong qualifications for consideration in the Best Researcher Award. Her prolific publications, leadership in research projects, and interdisciplinary approach highlight her potential to make significant contributions to computer science and engineering. However, there is room for growth in international visibility, high-impact collaborations, and expanding the global reach of her research. If she continues to build on her current trajectory while addressing these areas for improvement, Canbay would be a strong candidate for future recognition as a leading researcher.

Ms Naailah Mahamoodally | Smart Buildings | Women Researcher Award |

Posted on 18/09/202418/09/2024 by ScienceFather

Ms. Naailah Mahamoodally | Smart Buildings | Women Researcher Award

Concordia University, Canada

Professional Profiles:

👨‍🎓 Bio Summary:

Naailah Mahamoodally is a dedicated researcher currently pursuing her MASc in Quality Systems Engineering at Concordia University, where her work focuses on transfer learning for occupancy estimation in smart buildings with imbalanced data. She graduated with First Class Honors in Computer Science from the University of Mauritius, where she developed IoT solutions for traditional appliances. Her research interests lie in machine learning, smart technologies, and IoT applications, and she has published in respected journals like the Journal of Building Engineering. In addition to her academic achievements.

🎓 Educational Background:

Naailah Mahamoodally is currently pursuing her MASc in Quality Systems Engineering at Concordia University, Canada (2023-2025), where she maintains an exceptional CGPA of 4.08. Her thesis focuses on Transfer Learning for Occupancy Estimation in Smart Buildings for Imbalanced Data, under the supervision of Dr. Manar Amayri. She also holds a BSc (Hons) in Computer Science from the University of Mauritius (2019-2022), where she graduated with First Class Honors, achieving a GPA of 3.62. Her undergraduate dissertation, titled IoTising IR-Based Traditional Appliances for Individual Smart Homes, showcases her strong foundation in IoT technologies.

🔍 Research Focus:

Naailah’s research primarily revolves around machine learning, smart buildings, and the Internet of Things (IoT). She has a keen interest in applying transfer learning techniques to improve occupancy estimation systems, particularly in environments where data is imbalanced. Her focus is on developing innovative, scalable solutions for smart homes and buildings, leveraging her deep expertise in machine learning frameworks such as Tensorflow and PyTorch.

🏆 Honors & Awards:

Naailah has been recognized for her academic excellence with a prestigious Entrance Award of $5000 at Concordia University. Her exceptional academic performance is further reflected by her consistent high grades throughout her academic journey.

💼 Professional Experience:

Professionally, Naailah has diversified her experience by working as an Oracle Consultant at Spoon Consulting (October 2022 – June 2023), where she specialized in both technical and functional aspects of Oracle Human Capital Management (HCM) and Financials Cloud Management (FCM). She also gained valuable client-facing experience, handling data analysis and creating interactive dashboards. Currently, she is employed as a clerk at Econofitness Gym, showcasing her adaptability and work ethic.

📚 Top Noted Publications :

Title: Explainable Domain Adaptation for Imbalanced Occupancy Estimation

Authors: Naailah Mahamoodally, Jawher Dridi, Manar Amayri

Index: Crossref

Year of Publication: 2024

DOI: 10.1016/j.jobe.2024.110613

Journal: Journal of Building Engineering

Conclusion:

Naailah Mahamoodally is a highly capable candidate with a strong technical and research foundation in machine learning, smart technologies, and computer science. Her academic excellence, leadership roles, and publication make her a competitive candidate. However, to maximize her chances for the Research for Women Researcher Award, she could focus on publishing more research, gaining involvement in women-centric STEM initiatives, and enhancing the real-world impact of her work.

Mrs Eka Yuliana | Service Science | Best Researcher Award |

Posted on 22/07/202422/07/2024 by ScienceFather

Mrs. Eka Yuliana | Service Science | Best Researcher Award.

Telkom University,Indonesia

Professional Profiles:

👨‍🎓 Bio Summary:

Eka Yuliana, ST., MSM., CECP., CBC, is a distinguished academic and professional with extensive experience in both education and business. She holds a Bachelor’s degree in Industrial Engineering from the Islamic University of Bandung and a Master’s degree in Science Management from Institut Teknologi Bandung, where she is currently completing her Doctoral studies in Science Management. Eka serves as an Assistant Professor at SBM-ITB and a Full-Time Lecturer at the Economics & Business Faculty of Telkom University. Her professional roles extend to being the Business Development Director at PT. Systect Reka Prima and the Co-Founder of PT. Fella Integrated Technology. Certified as a National Lecturer of Indonesia, a Certified Entrepreneur Coach Professional, and a Certified Business Coach, Eka’s research focuses on entrepreneurship, digital economy, and service-dominant logic. She has contributed significantly to both national and international journals and is recognized for her work on the influence of online reviews, social media, and educational strategies on entrepreneurial intentions and consumer behavior.

🎓 Education:

Eka Yuliana earned her Bachelor’s degree in Industrial Engineering from the Faculty of Engineering at the Islamic University of Bandung in 2002. She then completed her Master’s degree in Science Management from the School of Business Management at Institut Teknologi Bandung in 2010. Currently, she is in the final year of her Doctoral studies in Science Management at the same institution.

🔍 Research Focus:

Eka’s research primarily revolves around entrepreneurship, digital economy, and service-dominant logic. Her studies often explore the intersection of technology and business, with a particular emphasis on how social media and online reviews influence consumer behavior and entrepreneurial intentions. She also delves into the impact of education on entrepreneurship and business model innovation.

🏆 Honors & Awards:

Eka is a National Lecturer of Indonesia and holds certifications as a Certified Entrepreneur Coach Professional and a Certified Business Coach from Coaching Indonesia. Her contributions to academia and industry have been recognized through various awards and honors, including her roles as an Associate Editor at the International Journal of Technology Analysis & Strategic Management and a member of the Asian Council of Science Editors (ACSE)

Professional Experience: 💼

Since 2018, Eka has been serving as an Assistant Professor and Doctoral Science Management Student at SBM-ITB. She has been a Full-Time Lecturer at the Economics & Business Faculty of Telkom University since 2013. From 2016 to 2018, she headed the Learning Management Affair at the International Class Academic Office of Telkom University. Eka is also the Business Development Director at PT. Systect Reka Prima, a position she has held since 2006. Additionally, she co-founded PT. Fella Integrated Technology in 2022. Her earlier career includes significant roles in the oil and gas industry with Total Indonesia Fina Elf and in the chemical industry with DyStar Colours Indonesia.

📚 Top Noted Publications :

Title: Pernikahan Adat Jawa dalam Perspektif Hukum Islam
Authors: E. Yuliana, A.A. Zafi
Journal: Al-Mashlahah Jurnal Hukum Islam dan Pranata Sosial
Volume: 8 (02)
Pages: 315-326
Year: 2020
Citations: 20

Title: Penerapan Model Pembelajaran Cooperative Script Terhadap Hasil Belajar Bahasa Indonesia SD
Authors: E. Yuliana, T.G. Satria, R.A.B. Kusnanto
Journal: Edu Cendikia: Jurnal Ilmiah Kependidikan
Volume: 1 (03)
Pages: 203-210
Year: 2021
Citations: 17

Title: Pembelajaran Fisika Berbasis Android dengan Program Adobe Flash CS 6 untuk Meningkatkan Kemampuan Berpikir Kritis dan Hasil Belajar Siswa SMA IT Granada Samarinda
Authors: E. Yuliana, L. Subagiyo
Journal: Jurnal Literasi Pendidikan Fisika (JLPF)
Volume: 1 (02)
Pages: 105-114
Year: 2020
Citations: 16

Title: Pengaruh Perceived Value dan Social Influence terhadap Purchase Intention Smartphone 4G pada Pelanggan Bandung Electronic Center
Authors: H.T. Eryadi, E. Yuliana
Journal: eProceedings of Management
Volume: 3 (1)
Year: 2016
Citations: 16

Title: Pengaruh Kemampuan Intelektual dan Motivasi Kerja Terhadap Kinerja Guru Mata Diklat Produktif Penjualan di SMK Bisnis dan Manajemen Se-Kabupaten Kebumen
Author: E. Yuliana
Institution: Universitas Negeri Semarang
Year: 2006
Citations: 16

Author Metrics 📊 :

Eka’s research work is well-recognized, with an h-index of 8 and an i10-index of 5. Her detailed research contributions can be explored further on her Orcid ID and Google Scholar profile.

📅 Research Timeline:

2019: Analysis of customer online reviews’ role in building trust and buying interest in Indonesian tourism products.

2019: Comparative analysis of value propositions and channels in business model canvases for barbershops in Bandung.

2019: Examination of factors influencing entrepreneurial intentions among millennial students.

2018: Study on the implementation of entrepreneurial education in vocational schools.

2015: Analysis of the positioning of top Chinese smartphone brands based on consumer perceptions in Bandung.

2020: Exploration of the evolution of halal logistics in Southeast Asia and the role of online reviews in digital tourism.

2021 – Present: Ongoing research on service-dominant logic in technology-based business incubators and value co-creation service systems.

Prof Jumin Zhao | Internet of things | Best Researcher Award |

Posted on 05/07/202405/07/2024 by ScienceFather

Prof. Jumin Zhao | Internet of things | Best Researcher Award.

Taiyuan university of technology,China

Professional Profiles:

👨‍🎓 Bio Summary:

Prof. Jumin Zhao is a distinguished academic at Taiyuan University of Technology, serving as a professor at the College of Electronic Information and Optical Engineering and as the director of the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. Her extensive research interests encompass intelligent perception and Internet of Things (IoT) technology. A senior member of the China Computer Federation (CCF) and deputy secretary general of the Taiyuan Branch of the Association for Computing Machinery (ACM), she has made significant contributions to her field through numerous projects, patents, and publications.

🎓 Education:

Prof. Zhao earned her Ph.D. from Taiyuan University of Technology in 2008, marking the beginning of her illustrious career in electronic information and optical engineering.

🔍 Research Focus:

Her primary research areas include intelligent perception and IoT technology, where she has driven forward innovative solutions and applications that bridge the gap between theoretical research and practical implementations.

🏆 Honors & Awards:

Prof. Zhao has been recognized for her contributions with numerous awards and honors at both national and provincial levels, celebrating her impact on technological advancements and academic excellence.

Professional Experience: 💼

In addition to her teaching and research roles, Prof. Zhao leads the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. She has presided over 25 national and provincial projects, demonstrating her leadership and expertise in her field.

📚 Top Noted Publications :

Title: Investigation and Experimental Study on Gearbox Vibration Fault Diagnosis Method Based on Fusion Feature Convolutional Learning Network
Authors: Zhu, X., Ye, X., Wang, R., Han, Z., Gao, X.
Journal: Experimental Techniques
Citation Index: 2
Year of Publication: 2023

Title: GNSS Multipath Mitigation Method Based on K-means Classification in Urban Environment
Authors: Gong, J., Ma, R., Li, D., Zhao, J.
Journal: Journal of the Indian Society of Remote Sensing
Citation Index: 4
Year of Publication: 2022

Title: Graph Neural Networks: Taxonomy, Advances, and Trends
Authors: Zhou, Y., Zheng, H., Huang, X., Li, D., Zhao, J.
Journal: ACM Transactions on Intelligent Systems and Technology
Citation Index: 53
Year of Publication: 2022

Title: Improved U-Net Based on Contour Prediction for Efficient Segmentation of Rectal Cancer
Authors: Li, D., Chu, X., Cui, Y., Zhang, K., Yang, X.
Journal: Computer Methods and Programs in Biomedicine
Citation Index: 19
Year of Publication: 2022

Title: Recognition of Honeycomb Lung in CT Images Based on Improved MobileNet Model
Authors: Gang, L., Haixuan, Z., Linning, E., Yu, L., Juming, Z.
Journal: Medical Physics
Citation Index: 15
Year of Publication: 2021

Author Metrics 📊 :

Her extensive research output and impact are reflected in her author metrics, which highlight her influence and standing in the academic community.

📅 Research Timeline:

From earning her Ph.D. in 2008 to her current roles and achievements, Prof. Zhao’s career trajectory has been marked by continuous growth and significant contributions to electronic information and optical engineering, particularly in intelligent perception and IoT technology.

Mr Antonio Azambuja | Indústria 4.0 | Best Researcher Award |

Posted on 01/07/202401/07/2024 by ScienceFather

Mr. Antonio Azambuja | Indústria 4.0 | Best Researcher Award.

Instituto Tecnologico de Aeronautica,Brazil

Professional Profiles:

👨‍🎓 Bio Summary:

Antonio João Gonçalves de Azambuja is an accomplished researcher and academic currently pursuing a postdoctoral fellowship in the Department of Informatics at the Federal University of Rio Grande do Sul (UFRGS), Brazil. His research focuses on social engineering in network and system security, particularly automated bots and artificial intelligence actions. Additionally, Antonio is a visiting researcher at Technische Universität Darmstadt, Germany, where he delves into cybersecurity and AI within Industry 4.0. His extensive academic journey includes two doctoral degrees, multiple specializations, and significant contributions to cybersecurity and information management.

🎓 Education:

Antonio is currently pursuing a second Ph.D. in Space Technologies Management at the Instituto Tecnológico de Aeronáutica (ITA), focusing on a cybersecurity maturity model for Industry 4.0, under the guidance of Prof. Dr. Vilson Rosa de Almeida. He holds a Ph.D. in Science Education from UFRGS, where his dissertation developed an information architecture maturity model to mitigate social impacts related to privacy, security, and information loss in Big Data. Antonio earned his Master’s in Knowledge Management and Information Technology from the Universidade Católica de Brasília, specializing in cybersecurity maturity models for federal public administration. He also completed various post-graduate programs in strategic IT management, software engineering, and information security.

🔍 Research Focus:

Antonio’s research primarily revolves around cybersecurity, artificial intelligence, and their applications in Industry 4.0. His interests include developing maturity models for cybersecurity, investigating social engineering attacks using automated bots, and enhancing cyber defense mechanisms. He is also actively involved in exploring the intersection of cybersecurity with Big Data and digital twins in industrial contexts.

🏆 Honors & Awards:

Throughout his academic career, Antonio has been recognized for his contributions to cybersecurity and information management. He has received multiple accolades for his innovative research and has been invited to present his work at numerous national and international conferences. His dedication to advancing cybersecurity practices within the public and industrial sectors has earned him respect and acknowledgment in the academic community.

Professional Experience: 💼

Antonio is currently a postdoctoral researcher at UFRGS, working under the mentorship of Prof. Dr. Lisandro Zambenedetti Granville and Prof. Dr. Jéferson Campos Nobre. He also serves as a visiting researcher at Technische Universität Darmstadt, Germany, under Prof. Dr. Reiner Anderl and Prof. Dr. Benjamin Schleich. Antonio is a researcher at the Naval War College’s Scenario Simulation Laboratory, focusing on cybersecurity and cyber defense, led by Prof. Dr. Max Campos. His professional journey includes roles in academia and collaborative research projects across Brazil and Germany.

📚 Top Noted Publications :

Digital Twins in Industry 4.0 – Opportunities and Challenges Related to Cyber Security

Authors: de Azambuja, A.J.G., Giese, T., Schützer, K., Schleich, B., Rosa Almeida, V.

Journal: Procedia CIRP

Year: 2024

Pages: 25–30

Citations: 1

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

Authors: de Azambuja, A.J.G., Plesker, C., Schützer, K., Schleich, B., Almeida, V.R.

Journal: Electronics (Switzerland)

Year: 2023

Volume and Issue: 12(8)

Article Number: 1920

Citations: 29

Analysis of Cyber Security Features in Industry 4.0 Maturity Models

Authors: de Azambuja, A.J.G., Kern, A., Anderl, R.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Year: 2022

Volume: 13106 LNCS

Pages: 91–106

Citations: 0

Author Metrics 📊 :

Antonio’s contributions to the field of cybersecurity are well-documented in various high-impact publications. His work is frequently cited, reflecting the significance and influence of his research. He has co-authored multiple articles with prominent researchers, contributing valuable insights into cybersecurity and information management.

📅 Research Timeline:

Antonio’s research timeline demonstrates a progressive and focused approach to cybersecurity and information management. Beginning with his Master’s research on cybersecurity maturity models, he advanced to developing comprehensive frameworks for Big Data security during his first Ph.D. His current postdoctoral work and second Ph.D. continue to build on these foundations, exploring advanced cybersecurity solutions for Industry 4.0.

Mrs sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award |

Posted on 27/06/202427/06/2024 by ScienceFather

Mrs. sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award.

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY,India

Professional Profiles:

👨‍🎓 Bio Summary:

Mrs. Sasirekha R is an accomplished Computer Science and Engineering professor with over five years of experience in teaching. She is recognized for her disciplined approach and expertise in programming, with a significant following among students. Currently pursuing her Ph.D. at SRM Institute of Science and Technology, Chennai, she excels in managing multiple assignments under tight deadlines and is adept at envisioning and implementing new concepts in her field.

🎓 Education:

Mrs. Sasirekha is currently pursuing her Ph.D. in Computer Science and Engineering at SRM Institute of Science and Technology, Chennai. She holds a Master’s degree in Engineering (2012-2014) from Magna College of Engineering, Anna University, Chennai, and a Bachelor’s degree in Information Technology (2006-2010) from Thangavelu Engineering College, Anna University, Chennai.

🔍 Research Focus:

Her research interests encompass Machine Learning, Data Mining, Artificial Intelligence, Data Analytics, Deep Learning, and Natural Language Processing. She has a strong technical background, including proficiency in various programming languages such as Java, Python, C++, R, and ASP.NET.

🏆 Honors & Awards:

Mrs. Sasirekha has received a recommendation for her article titled “Suspension Control Sensors Embedded with Smart Grid- Smart Car System,” published in Procedia Computer Science, Volume 230, 2023. The article highlights her innovative work on integrating sensors into vehicular systems to enhance safety and prevent accidents.

Professional Experience: 💼

Mrs. Sasirekha currently serves as an Assistant Professor in the Computer Science & Engineering department at Sathyabama Institute of Science and Technology, Chennai, since January 2023. She was a Research Scholar in Computing Technologies at SRM Institute of Science and Technology from February 2021 to January 2023. Prior to that, she held the position of Assistant Professor at Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College and PMR Engineering College. She began her teaching career at Thangavelu Engineering College in 2015.

📚 Top Noted Publications :

Title: Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic
Authors: V Mahalakshmi, A Balobaid, B Kanisha, R Sasirekha, M Ramkumar Raja
Citation: Healthcare 11 (6), 854
Index: 6
Year of Publication: 2023

Title: Study on Class Imbalance Problem with Modified KNN for Classification
Authors: R Sasirekha, B Kanisha, S Kaliraj
Citation: Intelligent Data Communication Technologies and Internet of Things
Index: 3
Year of Publication: 2022

Title: KNN Based Peak-LOF for Outlier Detection
Authors: R Sasirekha, B Kanisha
Citation: 2022 International Conference on Innovative Computing, Intelligent
Index: 2
Year of Publication: 2022

Title: RESMOTE: A New Approach for Class Imbalance Problem
Authors: S Ra, K Bb
Citation: Recent Developments in Electronics and Communication Systems: Proceedings of
Index: 1
Year of Publication: 2023

Title: Randomized Ensemble Approach with ID3 Algorithm For the Prediction datasets with Imbalance Problem
Authors: BK, R Sasirekha
Citation: International Journal on Recent and Innovation Trends in Computing and
Index:
Year of Publication: 2023

Author Metrics 📊 :

Mrs. Sasirekha’s research work has been published in reputable journals and has garnered attention in the academic community for its innovative approaches and real-world applications.

📅 Research Timeline:

Mrs. Sasirekha’s research journey includes her tenure as a Research Scholar at SRM Institute of Science and Technology, where she delved into advanced computing technologies. Her academic career has been marked by continuous learning and contributions to the field of Computer Science and Engineering.

Dr Jinjin Hu | Digital economy | Best Researcher Award |

Posted on 19/06/202419/06/2024 by ScienceFather

Dr. Jinjin Hu | Digital economy | Best Researcher Award.

Harbin Institute of Technology (Shenzhen),China

Professional Profiles:

👨‍🎓 Bio Summary:

Dr. Jinjin Hu is a Ph.D. candidate in Strategy & Entrepreneurship at Harbin Institute of Technology, Shenzhen, China, with research interests in digital transformation, corporate networks, and innovative performance. He holds a Master’s degree in Finance and a Bachelor’s degree in Accounting. Jinjin has published in renowned journals and received honors such as the National Scholarship. He actively contributes to research projects and serves as a reviewer for academic journals.

🎓 Education:

Dr. Jinjin Hu holds a Ph.D. in Strategy & Entrepreneurship from the School of Economics and Management at Harbin Institute of Technology, Shenzhen, China, where he is currently pursuing his doctoral studies. He also earned a Master of Arts in Finance from the same institution and holds a Bachelor of Science in Accounting from Huazhong Agricultural University, Wuhan, China.

🔍 Research Focus:

His research interests encompass a broad spectrum within the realms of knowledge and innovation, corporate strategy, international strategy, patents & intellectual property rights, digital transformation, and entrepreneurship. Dr. Hu’s work delves into understanding the impact of digital technologies on corporate innovation, the dynamics of corporate networks, and the strategic implications of technological advancements.

🏆 Honors & Awards:

Dr. Jinjin Hu has received prestigious accolades for his academic achievements, including the National Scholarship in 2021, the First Prize in the National “Chinese Accounting Network School Cup” Competition in 2019, and the Third Prize in the National “Innovation and Entrepreneurship Challenge Cup” in 2018.

Professional Experience: 💼

He has contributed significantly to various research projects funded by esteemed organizations such as the National Natural Science Foundation and the National Social Science Fund. Dr. Hu also serves as a reviewer for reputable journals in his field and has hosted sub-forums at academic conferences.

📚 Top Noted Publications :

Title: Digital Economy Development and Venture Capital Networks: Empirical Evidence from China
Author: Jinjin Hu, Dong Huo, Delin Wu
Journal: Technological Forecasting and Social Change
Citation: 2024, Volume 203, Article 123338
Index: ABS3*, SSCI Q1
Year of Publish: 2024

Title: A Study on the Privatization Decisions of China Concepts Stock Based on the Tax Shield Effect
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Journal of Systems Science and Systems Engineering
Citation: 2023, Volume 32(5), Pages 623–640
Index: SSCI Q3
Year of Publish: 2023

Title: Identifying High-Quality Technology Patents Based on Deep Learning and Multi-Category Polling Mechanism—Case Study of Patent Applications
Author: Xue Zhao, Delin Wu, Wei Wu, Jinjin Hu, Yibo Lian, Jianwei Shan
Journal: Data Analysis and Knowledge Discovery
Citation: 2023, Volume 7(8), Pages 30–45
Index: CSSCI Q2
Year of Publish: 2023

Title: Digital Economy and Environmental Governance Performance: Empirical Evidence from 275 Cities in China
Author: Jinjin Hu, Xue Zhao, Delin Wu, Wei Wu
Journal: Environmental Science and Pollution Research
Citation: 2023, Volume 30(10), Pages 26012–26031
Index: SSCI Q1
Year of Publish: 2023

Title: Implementation of Industrial Enterprises’ Green Innovation Strategy under Technology Spillover
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Technology Analysis and Strategic Management
Citation: 2023
Index: ABS2*, SSCI Q3
Year of Publish: 2023

Author Metrics 📊 :

His scholarly output is characterized by high-quality publications and active engagement in the academic community as evidenced by his reviewer role for journals. Dr. Hu’s publications have garnered attention within the academic community, contributing to the advancement of knowledge in his field.

📅 Research Timeline:

Throughout his academic journey, Dr. Jinjin Hu has consistently demonstrated a dedication to research excellence and scholarly inquiry. From his undergraduate studies in Accounting to his current doctoral research in Strategy & Entrepreneurship, he has maintained a steadfast commitment to expanding the frontiers of knowledge in his areas of expertise

Ms Feruz Elmay | Digital asset management | Best Researcher Award |

Posted on 10/06/202410/06/2024 by ScienceFather

Ms. Feruz Elmay | Digital asset management | Best Researcher Award.

Khalifa University, United Arab Emirates

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