Ladislav Karrach | Computer Vision | Best Researcher Award

Dr. Ladislav Karrach | Computer Vision | Best Researcher Award

Post student, Technical University in Zvolen, Slovakia

Ladislav Karrach is a seasoned computer programmer and systems analyst from Kremnica, Slovakia. With a robust background in computer network administration and ERP systems, he has contributed significantly to the field of applied informatics since 1995. His dedication to technology and innovation has positioned him as a key player in developing internal information systems and enhancing client-server applications. 🖥️

Publication Profile

ORCID

Education

Ladislav holds a Ph.D. in Environmental and Manufacturing Technology from the Technical University in Zvolen, where he focused on text recognition in images and its applications in manufacturing processes. He also earned his Ing. (MSc) degree in Applied Informatics from the University of Žilina, specializing in information and control systems. 🎓

Experience

Since 1995, Ladislav has been working as a computer programmer and systems designer at Mint Kremnica, where he manages database servers, designs information systems, and develops client-server applications. His extensive experience includes web programming and administration of ERP systems, making him a versatile professional in the tech industry. 💻

Research Focus

Ladislav’s research interests lie in the fields of image processing, particularly focusing on text recognition methods, data matrix codes, and character recognition technologies. He is dedicated to optimizing production processes through innovative technological solutions and is involved in various research projects that explore the applications of image recognition in manufacturing. 🔍

Awards and Honours

Ladislav has been recognized for his contributions to the field of informatics and manufacturing technology through various publications and collaborative projects. His work is highly regarded in academic circles, showcasing his commitment to advancing technology in practical applications. 🏅

Publication Top Notes

 Data Matrix Code Location Marked with Laser on Surface of Metal Tools. Acta Facultatis Technicae, XXII, 2017 (2), 29–38. – Cited by 1

 Data matrix code location in images acquired by camera. In Manufacturing and automation technology: book of abstracts, 15. – Cited by 0

The analysis of various methods for location of Data matrix codes in images. In ELEKTRO 2018: conference proceedings. – Cited by 2

 Comparing the impact of different cameras and image resolution to recognize the data matrix codes. Journal of Electrical Engineering, 286-292. – Cited by 4

 Optimizatio of manipulation logistics using data matrix codes. Advances in Science and Technology Research Journal, 173-180. – Cited by 3

 Recognition of Data Matrix Codes in Images and their Applications in Production Processes. Management Systems in Production Engineering, 154-161. – Cited by 5

 Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations — A Comparative Study. J. Imaging, 188. – Cited by 1

Osama Sohaib | Information Systems | Best Researcher Award

Dr. Osama Sohaib | Information Systems | Best Researcher Award

Associate Professor, American University of Ras Al Khaimah, United Arab Emirates

Dr. Osama Sohaib is an Associate Professor of Business Analytics at the American University of Ras al Khaimah, UAE. He holds a Ph.D. in Information Systems from the University of Technology Sydney, Australia. With over 15 years of teaching experience, Dr. Sohaib is dedicated to educating and mentoring undergraduate and postgraduate students in information systems, focusing on the intersection of technology and business. 🌍📚

Publication Profile

Google Scholar

Education

Dr. Sohaib earned his Ph.D. in Information Systems in 2015 from the University of Technology Sydney, Australia. He is currently pursuing a Master of Business Analytics at the University of Queensland and holds a Graduate Certificate in Applied Artificial Intelligence from Charles Sturt University. His academic journey also includes a Master of Science in Computer Science, a Postgraduate Diploma in Information Management, and a Bachelor of Science in Software Development. 🎓📖

Experience

With over 15 years of experience in academia, Dr. Sohaib has held various positions, including Associate Professor at the American University of Ras al Khaimah and Lecturer at the University of Technology Sydney. He has also taught at Macquarie University and the University of New South Wales. His roles have included supervising research students, coordinating academic programs, and contributing to funded projects in business information systems. 💼👨‍🏫

Research Focus

Dr. Sohaib’s research interests encompass business information systems, e-services, digital privacy, digital transformation, business intelligence, decision-making, and applied machine learning. His work aims to enhance service effectiveness across various sectors, including digital business, healthcare, education, and government, with a strong emphasis on the ethical and societal implications of technology. 💡🔍

Awards and Honors

Dr. Sohaib has received multiple accolades, including the “Research of the Year” award from the School of Business at AURAK for his exceptional research contributions in 2023 and 2024. He was also honored with the “Best Paper Award” at the 25th International Conference on Information Systems Development in 2016 for his work on web content accessibility. 🏆🌟

Publication Top Notes

Assessing Web Content Accessibility of E-Commerce Websites for People with Disabilities
Best Paper Award, 2016
Link to Publication | 2016 | Journal of Information Systems Development | Cited by: 120

Digital Privacy in the Age of Big Data and Machine Learning: People’s Expectations and Experiences
Link to Publication | 2022 | International Journal of Information Management | Cited by: 85

Factors Influencing Continuance Intention in Augmented Reality Platforms
Link to Publication | 2023 | Journal of Business Research | Cited by: 45

Opportunities and Challenges in the Implementation of AI in Accounting and Auditing Software
Link to Publication | 2024 | International Journal of Accounting Information Systems | Cited by: 10

The Effect of Individual’s Technological Belief and Usage on their Absorptive Capacity towards their Learning Behaviour in the Learning Environment
Link to Publication | 2020 | Computers & Education | Cited by: 30

Niansong Mei | microelectronics | Best Researcher Award

Assoc Prof. Niansong Mei | microelectronics | Best Researcher Award

Prof, Shanghai Advanced Research Institute, Chinese Academy of Sciences, China

Niansong Mei is an accomplished Associate Professor at the Shanghai Advanced Research Institute, Chinese Academy of Sciences. With a strong foundation in microelectronics, he has significantly contributed to the fields of high-performance integrated circuits and hardware security. 🌟

Publication Profile

Google Scholar

 

Education

Niansong received his B.S. degree in Physical Science and Technology from Soochow University, China, in 2001. He furthered his education with an M.S. degree in Microelectronics from Southeast University, China, in 2004, and completed his Ph.D. in Microelectronics at Fudan University, China, in 2011. 🎓

Experience

After earning his Ph.D., Niansong joined the Shanghai Advanced Research Institute, Chinese Academy of Sciences, as an Associate Professor. Prior to this, he served as a group leader at Semiconductor Manufacturing International Corporation (SMIC) from 2004 to 2008, where he gained valuable industry experience. 🏢

Research Focus

His research interests encompass high-performance integrated circuits and systems, hardware security, and blockchain technology. Niansong aims to advance the state of the art in these critical areas through innovative research. 🔍

Awards and Honours

Niansong has received various accolades for his contributions to the field, reflecting his commitment to excellence in research and education. 🏆

Publication Top Notes

Vaq-based tri-level switching scheme for SAR ADC

A 920-MHz dual-mode receiver with energy harvesting for UHF RFID tag and IoT

A review of converter circuits for ambient micro energy harvesting

A 16.4 nW, sub-1 V, resistor-less voltage reference with BJT voltage divider

CMOS high linearity PA driver with an on-chip transformer for W-CDMA application

 

Dmitry Efanov | Built-In Self Test | Best Researcher Award

Prof Dr. Dmitry Efanov | Built-In Self Test | Best Researcher Award

Professor, Peter the Great St. Petersburg Polytechnic University, Russia

Profile

Orcid

Evaluation of Dmitry V. Efanov for the “Best Researcher Award”

Strengths for the Award:

a. Extensive Experience and Expertise:
Dmitry V. Efanov has a profound background in the field of reliability, safety, technical diagnostics, and monitoring of automation devices in railway transport. His diverse experience spans over 15 years, including significant roles in maintenance, design, development, and implementation of monitoring systems for various railway infrastructures. This extensive experience highlights his deep understanding of the practical and theoretical aspects of his field.

b. Significant Contributions to Academia and Industry:
Efanov has made substantial contributions to both academia and the industry. He has published over 600 scientific and educational papers, authored three textbooks, 13 manuals, and three monographs, demonstrating his prolific research output and commitment to disseminating knowledge. His work in establishing the “Automation on Transport” journal further showcases his dedication to advancing his field. Additionally, his collaboration with various companies indicates his ability to bridge the gap between academia and industry, ensuring that his research has practical applications and real-world impact.

c. Leadership and Mentorship:
As a professor and a leader in his field, Efanov has demonstrated strong leadership qualities. His role in mentoring over 100 engineers and guiding three PhD students to completion reflects his commitment to developing the next generation of researchers and professionals. His election as a full member of the International Transport Academy and his academic rank as a professor underscore his recognition and respect within the professional community.

d. Innovative Research:
Efanov’s research on the “theory and methods of functional diagnosis of logical devices in railway automation and remote control,” particularly his work on error-detection sum codes, showcases his innovative approach to solving complex problems in his field. His focus on automation and control of technological processes and production in transport aligns with contemporary needs in the railway sector, particularly in enhancing safety and efficiency.

 Areas for Improvement:

a. Diversification of Research Topics:
While Efanov’s expertise in railway automation and diagnostics is evident, a broader diversification of research topics within the transportation or automation sectors could further strengthen his profile. Expanding his research to cover emerging technologies, such as artificial intelligence and machine learning in transportation systems, could enhance his relevance and impact in the rapidly evolving technological landscape.

b. International Collaboration and Exposure:
Although Efanov has a commendable national profile and is a member of the International Transport Academy, increasing his engagement with international research communities through more collaborations, joint research projects, and conferences could enhance his global visibility and influence. This would also provide him with fresh perspectives and methodologies, potentially leading to more innovative research outcomes.

c. Focus on High-Impact Publications:
While his extensive publication record is impressive, focusing on publishing in high-impact international journals could further elevate his research profile. This strategy would not only increase the visibility of his work but also establish his research as a benchmark in the global scientific community.

👨‍🎓 Education

Dmitry V. Efanov graduated from the prestigious Emperor Alexander I St. Petersburg State Transport University in 2007. His academic journey laid a strong foundation in railway transport technologies, particularly in automation and remote control systems. 🏫🎓

💼 Professional Experience

Professor Efanov is an expert in reliability, safety, technical diagnostics, and monitoring of automation devices and infrastructure complexes in railway transport. With over a decade of experience as a designer, developer, and implementer of monitoring systems, he has collaborated with major companies such as JSC “MGP ‘IMSAT’,” “Bridge Bureau” LLC, “LocoTech-Signal” LLC, and others. His work has impacted a wide range of railways, including those managed by JSC “Russian Railways” and the St. Petersburg Subway. 🚆🔧

🔬 Research Interests

Professor Efanov’s research is centered on the theory and methods of technical diagnostics. He specializes in functional diagnostics of logical devices in railway automation, with a focus on error-detection sum codes. His work contributes significantly to the fields of automation and control of technological processes in transport. 📊🔍

🏆 Awards and Recognition

In 2022, Professor Efanov was elected as a full member of the International Transport Academy, highlighting his contributions to the field of railway automation. In 2023, he was awarded the academic rank of “Professor,” further solidifying his reputation as a leading expert in his domain. 🎖️🌍

📚 Publications Top Notes

Professor Efanov has published over 600 scientific and educational papers, including 3 textbooks, 13 manuals, and 3 monographs on automation and computer science. He is the founder of the “Automation on Transport” journal (2014). His doctoral thesis, “The theory and the methods of functional diagnosis of logical devices in the railway automation and remote control on the basis of the error-detection sum codes application,” was defended in 2017 and published in 2018. 📝📖

Selected Publications:

Efanov, D.V. “Functional Diagnosis of Logical Devices in Railway Automation.” Automation on Transport, 2018. Cited by 25 articles.

Efanov, D.V. “Technical Diagnostics in Railway Automation: Methods and Applications.” Journal of Transport Science, 2020. Cited by 30 articles.

Conclusion:

Dmitry V. Efanov is a highly accomplished researcher with significant contributions to the field of railway automation and technical diagnostics. His extensive experience, prolific publication record, and dedication to teaching and mentoring highlight his suitability for the “Best Researcher Award.” To further strengthen his candidacy, Efanov could consider diversifying his research topics, engaging more with international collaborators, and focusing on publishing in high-impact journals. Overall, his outstanding achievements and contributions to both academia and industry make him a strong candidate for the award.

S Anita Shanthi | Fuzzy sets and systems | Best Researcher Award

Dr. S Anita Shanthi | Fuzzy sets and systems | Best Researcher Award

Associate Professor, Annamalai University, India

Dr. S Anita Shanthi, an Associate Professor at Annamalai University, India, has been honored with the prestigious Best Researcher Award for her pioneering work in the field of fuzzy sets and systems. 🏆 Her research contributions have significantly advanced our understanding of fuzzy logic and its applications, particularly in the realms of decision-making, pattern recognition, and artificial intelligence. Dr. Shanthi’s dedication to pushing the boundaries of knowledge and her commitment to excellence in research have garnered widespread recognition within the academic community. Her innovative approaches and insights continue to inspire and shape the future of fuzzy logic research. 🌟

Profile

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Educational Details 📚

Dr. S. Anita Shanthi pursued her Doctor of Philosophy in Mathematics at Annamalai University, Chidambaram, after completing her Master of Philosophy in Mathematics at Ramanujan Institute for Advanced Study in Mathematics, Madras University, Chennai. Her academic journey began with a Master of Science in Mathematics from Seethalakshmi Ramasamy College, Bharathidasan University, Thiruchirapalli.

Experience Details 💼

Dr. S. Anita Shanthi has been serving as an Associate Professor in Engineering Mathematics at Annamalai University, Tamilnadu, since January 2018. Prior to this, she held the position of Assistant Professor at the same institution for thirteen years, from January 2005 to 2018.

Research Interests 🔍

Dr. Shanthi’s research interests primarily focus on fuzzy mathematics, particularly in the areas of fuzzy normed linear spaces, intuitionistic fuzzy sets, fuzzy topology, and their applications in decision-making and pattern recognition.

Publications Top Notes  📝

“Interval valued fuzzy nnormed linear space” (2008)

“Some fixed point theorems in intuitionistic fuzzy n-normed linear spaces” (2009)

“On lacunary statistical convergence in intuitionistic fuzzy n-normed linear spaces” (2011)

“A decision making method based on similarity measure of interval valued intuitionistic fuzzy soft set of root type” (2015)

“A Study on Q-Level Subsemiring of (Q,L)- Fuzzy Subsemiring of a Semiring” (2015)