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

SATYAVARTA KUMAR PRINCE | Engineering | Best Researcher Award

Dr. SATYAVARTA KUMAR PRINCE | Engineering | Best Researcher Award

Ph.D, National Institute of Technology, Meghalaya, India

🎓 Dr. Satyavarta Kumar Prince is a distinguished Electrical Engineer with a Ph.D. from NIT Meghalaya. He has gained expertise in the protection schemes for DC microgrids, particularly in grid-connected and islanded modes. As a Research Associate at NIT Meghalaya, he has contributed significantly to the field of Electrical Engineering, focusing on power quality and microgrid protection.

Publication Profile

Google Scholar

Strengths for the Award:

  1. Academic Background: Dr. Satyavarta Kumar Prince has a solid academic foundation with a Ph.D. in Electrical Engineering from NIT Meghalaya. His research is focused on protection schemes for DC microgrids, a cutting-edge topic in electrical engineering.
  2. Research Experience: As a Research Associate at NIT Meghalaya, he gained practical experience in his field, contributing to his depth of knowledge and expertise.
  3. Publications: He has published multiple papers in high-impact journals, such as IEEE Transactions on Industry Applications and International Journal of Green Energy, showcasing his contributions to the field of electrical engineering, particularly in the area of microgrid protection.
  4. Recognition: His work has been recognized by the scientific community, as evidenced by his publications in well-regarded journals with substantial impact factors.
  5. GATE Qualification: He qualified for GATE twice, demonstrating his strong grasp of electrical and electronics engineering principles.

Areas for Improvement:

  1. Broader Impact: While his research is impressive, the focus is primarily on DC microgrids. Expanding his research to include other areas of electrical engineering could enhance his profile.
  2. Professional Development: Engaging in additional research projects, collaborations, or gaining international exposure could further bolster his candidacy.
  3. Teaching and Mentorship: There is no mention of teaching or mentorship roles, which are often valued in research awards. Contributing to the academic growth of others could be an area for development.
  4. Leadership Roles: Involvement in leading research projects, conferences, or professional organizations could strengthen his profile.

 

Education

🎓 Dr. Prince completed his Ph.D. in Electrical Engineering from NIT Meghalaya in 2023, achieving a CGPA of 8.60. His doctoral research focused on protection schemes for DC microgrids. He also holds an M.Tech. in Power and Energy Systems from NIT Meghalaya, completed in 2018, and a B.Tech. in Electrical and Electronics Engineering from Magadh University, where he graduated with 72.89% in 2011.

Experience

💼 Dr. Prince served as a Research Associate in the Electrical Engineering Department at NIT Meghalaya from March 2023 to November 2023. His work involved advanced research on microgrid protection schemes, contributing to the academic and research environment at the institute.

Research Focus

🔬 Dr. Prince’s research primarily focuses on the protection of DC microgrids in various operational scenarios, including grid-connected and islanded modes. His work aims to enhance power quality and develop resilient protection mechanisms for modern electrical systems.

Awards and Honours

🏆 Dr. Prince has successfully qualified GATE in Electrical and Electronics Engineering in both 2016 and 2017, demonstrating his strong foundational knowledge in the field.

Publication Top Notes

📚 Dominant/Lower Order Harmonic Injection-based Electric Fault Detection for DC Microgrids in Grid Coupled/Decoupled Scenarios
Published in IEEE Transactions on Industry Applications (2023), DOI: 10.1109/TIA.2023.3332314
Cited by: 4 articles

📚 Protection of DC Microgrids based on Complex Power during Faults in On/Off-Grid Scenarios
Published in IEEE Transactions on Industry Applications (2023), Volume 59, Issue 1, pp. 244-254
Cited by: 12 articles

📚 Resilient Bus-Bar Protection Scheme for DC Microgrids Connected to AC Electric Grids
In-Press in International Journal of Green Energy (Taylor & Francis)
Cited by: 2 articles

📚 Challenges and Advancements in Protection of DC Microgrid System-A Comprehensive Review
Published in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects (2022), Volume 44, Issue 4, pp. 10481-10505
Cited by: 15 articles

Conclusion:

Dr. Satyavarta Kumar Prince is a strong candidate for the Research for Best Researcher Award. His academic achievements, research publications, and contributions to the field of electrical engineering, particularly in microgrid protection, make him a noteworthy contender. However, broadening his research scope, engaging in more diverse professional activities, and taking on leadership roles could further enhance his candidacy

Paul Takyi-Aninakwa | Control Science and Engineering | Young Scientist Award

Mr. Paul Takyi-Aninakwa | Control Science and Engineering | Young Scientist Award

Ph.D., Southwest University of Science and Technology, China

Mr. Paul Takyi-Aninakwa is a recipient of the Young Scientist Award for his outstanding contributions to the field of Control Science and Engineering. He earned his Ph.D. from Southwest University of Science and Technology in China, where his research focused on innovative approaches to control systems. 🏆 With a dedication to pushing the boundaries of knowledge and a commitment to excellence, Mr. Takyi-Aninakwa has demonstrated remarkable expertise and promise in his field. His work showcases a blend of academic rigor and practical applications, positioning him as a rising star in the scientific community.

Profile

Orcid

Research Interests

Diving into the forefront of technological innovation, the research of state-of-the-art lithium-ion batteries and their state parameter estimations for battery-powered devices and vehicles represents a critical frontier in sustainable energy solutions. 🔋 With a focus on enhancing efficiency and performance, this research delves into the intricate mechanics and materials that underpin friction, exploring areas such as sliding friction, supersonic sliding, and surface texturing. By unraveling the complexities of friction reduction, scientists aim to unlock new possibilities for improving the lifespan and functionality of battery-powered systems. This interdisciplinary approach promises to drive advancements in both energy storage and transportation sectors, shaping a greener future.

Education

Paul Takyi-Aninakwa’s academic journey spans continents, reflecting a pursuit of excellence in engineering across diverse landscapes. 🎓 He earned his Ph.D. in Control Science and Engineering from Southwest University of Science and Technology in Mianyang, Sichuan Province, China. During this time, he contributed to the New Energy Measurement and Control Laboratory within the School of Information Engineering. Prior to his doctoral studies, he completed his MSc in Mechanical Engineering at the same university, further enriching his expertise. 📚 Before venturing abroad, he obtained his B.Sc. in Mechanical Engineering from Kwame Nkrumah University of Science and Technology in Kumasi, Ashanti Region, Ghana, laying the foundation for his future achievements.

Work Experience

Paul Takyi-Aninakwa’s professional journey intertwines a blend of academic pursuits and practical experiences across continents, reflecting his multifaceted expertise and dedication to innovation. 🌍 As a research and innovation team member and African Community Team Leader at the Co-creation and Innovation Center of Southwest University of Science and Technology in China, he spearheads collaborative initiatives driving technological advancements. Previously, he served as Operations/Maintenance Manager at Logistics Masters Limited in Takoradi, Ghana, overseeing the rental and hiring of heavy-duty equipment for construction projects. His tenure at Japan Motors Trading Company Limited and Ghana Highway Authority further honed his skills in mechanical and maintenance operations, showcasing a diverse skill set poised for impactful contributions.

Research Direction

Paul Takyi-Aninakwa’s academic trajectory reflects a journey marked by rigorous exploration and innovation in engineering disciplines. 📚 As a doctoral student at the New Energy Measurement and Control Laboratory within the School of Information Engineering at Southwest University of Science and Technology in China, his research is dedicated to pioneering new methods for energy measurement and control, specifically targeting the development of efficient battery management systems for lithium-ion batteries in electro-mobility. 🚗 His master’s studies delved into the realm of supersonic sliding friction, utilizing advanced numerical software to simulate and analyze friction phenomena, culminating in the proposal of novel surface texture topographies for friction reduction. 🔄 During his undergraduate tenure at Kwame Nkrumah University of Science and Technology in Ghana, he cultivated a solid foundation in mechanical engineering principles, laying the groundwork for his future innovations.

Publications Top Notes

Title: An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Year: 2022 Link: Applied Energy 326 (2022) 120043 Authors: Paul Takyi-Aninakwa, Shunli Wang*, Hongying Zhang, Carlos Fernandez, Xiaoyong Yang

Title: An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries. Year: 2022 Link: Energy 260 (2022) 125093 Authors: Paul Takyi-Aninakwa, Shunli Wang*, Hongying Zhang, Huan Li, Wenhua Xu, Carlos Fernandez

Title: A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. Year: 2023 Link: Energy 273 (2023) 127231 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez

Title: An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters. Year: 2024 Link: Engineering Applications of Artificial Intelligence 132 (2024) 107946 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Alhamdu Nuhu Bage, Faisal Masahudu, Josep M. Guerrero

Title: Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. Year: 2023 Link: Journal of Energy Storage 66 (2023) 107495 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez

Title: A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries. Year: 2023 Link: Journal of Energy Storage 68 (2023) 107728 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez

Title: An ASTSEKF optimizer with nonlinear condition adaptability for the state of charge estimation of lithium-ion batteries. Year: 2023 Link: Journal of Energy Storage 70 (2023) 108098 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez

 

Ammar Chouchane | Pattern recognition | Best Researcher Award

Dr. Ammar Chouchane | Pattern recognition | Best Researcher Award

Associate professor, University centre of Barika, Algeria

Dr. Ammar Chouchane, an Associate Professor at the University Centre of Barika, Algeria, has been recognized for his outstanding contributions in the field of pattern recognition. 🏆 His pioneering research has earned him the prestigious Best Researcher Award, highlighting his dedication and expertise in this domain. Dr. Chouchane’s work exemplifies innovation and excellence, serving as a testament to his commitment to advancing knowledge and technology. Through his endeavors, he continues to inspire and shape the future of pattern recognition, leaving a lasting impact on both academia and industry. 🌟

Profile

Scopus

Education

Dr. Ammar Chouchane’s academic journey reflects a remarkable commitment to excellence and innovation. 📚 He earned his PhD in Electronics, Signals, and Communications from the University of Biskra, Algeria, in June 2016. His doctoral research focused on image analysis of facial expressions and head orientation using depth data, showcasing his expertise in cutting-edge technology. Prior to this, he obtained his Master’s degree in Electronics and Telecommunications in June 2011, specializing in the development of a board system for measuring human blood pressure. 🎓 Dr. Chouchane’s educational foundation began with a Bachelor’s degree in Electronics with a focus on signals and systems, followed by his Baccalaureate in natural science in June 2009 and 2004, respectively.

Experiences 

Dr. Ammar Chouchane has held esteemed academic positions, showcasing his dedication to both research and education. 🎓 From September 2023 until now, he serves as an Associate Professor (MCA) at the University Center of Barika, Algeria, contributing to the advancement of knowledge in his field. Prior to this, he held a similar role at the University of Dr. Yahia Fares, Médéa, Algeria, from October 2018 to September 2023. His academic journey began with a stint as a Temporary Assistant Teacher at the University of Mohamed Khider Biskra, Algeria, from April 2013 to 2018, concurrently teaching Physics at a middle school from September 2014 to 2018.

Research Interest

Dr. Ammar Chouchane has held esteemed academic positions, showcasing his dedication to both research and education. 🎓 From September 2023 until now, he serves as an Associate Professor (MCA) at the University Center of Barika, Algeria, contributing to the advancement of knowledge in his field. Prior to this, he held a similar role at the University of Dr. Yahia Fares, Médéa, Algeria, from October 2018 to September 2023. His academic journey began with a stint as a Temporary Assistant Teacher at the University of Mohamed Khider Biskra, Algeria, from April 2013 to 2018, concurrently teaching Physics at a middle school from September 2014 to 2018.

Publications Top Notes

Multilinear subspace learning for person re-identification based fusion of high order tensor features

Year: 2024

Authors: A. Chouchane, M. Bessaoudi, H. Kheddar, A. Ouamane, T. Vieira, M. Hassaballah

Journal: Engineering Applications of Artificial Intelligence

Link: http://doi.org/10.1016/j.engappai.2023.107521

A new multidimensional discriminant representation for robust person re-identification

Year: 2023

Authors: Chouchane, Ammar; Mohcene Bessaoudi; Elhocine Boutellaa; Abdelmalik Ouamane

Journal: Pattern Analysis and Applications

Pages: 1-14

High-order knowledge-based Discriminant features for kinship verification

Year: 2023

Authors: E. Belabbaci, M. Khammari, A. Chouchane, A. Ouamane, M. Bessaoudi, Y. Himeur, M. Hassaballah

Journal: Pattern Recognition Letters

Volume: 175

Pages: 30-37

AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions

Year: 2023

Authors: Y. Habchi, Y. Himeur, H. Kheddar, A. Boukabou, S. Atalla, A. Chouchane, A. Ouamane, W. Mansoor

Journal: Systems

Volume: 11

Issue: 10

Pages: 519

A new multidimensional discriminant representation for robust person re-identification

Year: 2023

Authors: Chouchane, A., Bessaoudi, M., Boutellaa, E., Ouamane, A.

Journal: Pattern Analysis and Applications

Pages: 1-14

Multilinear subspace learning using handcrafted and deep features for face kinship verification in the wild

Year: 2021

Authors: M. Bessaoudi, A. Chouchane, A. Ouamane, E. Boutellaa

Journal: Applied Intelligence

Pages: 1-14

Multilinear Side-Information based Discriminant Analysis for face and kinship verification in the wild

Year: 2018

Authors: M. Bessaoudi, A. OUAMANE, M. Belahcene, A.CHOUCHANE, BOUTELLAA, Elhocine, S. Bourennane

Journal: Neurocomputing