Kah Ong Michael Goh | Computer Science | Best Researcher Award

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Assist. Prof. Dr. Kah Ong Michael Goh | Computer Science | Best Researcher Award

Associate Professor from Multimedia University | Malaysia

Assoc. Prof. Ts. Dr. Goh Kah Ong Michael is a prominent academician and innovator in the field of Artificial Intelligence, particularly known for his contributions to biometrics, computer vision, image processing, and smart city systems. He is currently serving as an Associate Professor at the Faculty of Information Science and Technology (FIST), Multimedia University (MMU), Malaysia. His professional journey spans over two decades, beginning as a tutor and progressively advancing to senior academic roles, including a tenure as Deputy Dean for Student Affairs and Alumni. Dr. Goh’s work focuses on practical, high-impact research that integrates AI into real-world applications such as traffic management, intelligent authentication, and urban system automation. A hands-on technologist, he has built strong industry ties and led collaborative research projects involving government and private sectors. His accomplishments include numerous international awards and publications, reflecting his ability to merge theoretical depth with applied innovation. Dr. Goh’s contributions extend beyond academia through leadership roles, student mentoring, and his involvement in technology exhibitions and innovation showcases. With an ever-evolving research agenda, he continues to be a valuable contributor to Malaysia’s technological advancement and is a role model for aspiring researchers in AI and computer science.

Professional Profile

Scopus Profile | ORCID Profile | Google Scholar

Education

Dr. Michael Goh pursued all his higher education at Multimedia University (MMU), Malaysia, reflecting a strong and continuous academic association with the institution. He earned his Bachelor of Information Technology (Hons.), majoring in Software Engineering. This undergraduate foundation in software development provided him with a firm grounding in computational thinking and programming. He then obtained his Master of Science in Information Technology by Research, where he began to delve into research-oriented activities, focusing on emerging areas in digital systems and human-computer interaction. His academic progression culminated in the completion of his Doctor of Philosophy (Ph.D.) in Information Technology by Research. His doctoral work emphasized advanced topics in biometrics and contactless identity recognition, a theme that would continue to define his professional research identity. Throughout his academic journey, Dr. Goh has demonstrated exceptional scholarly dedication and subject mastery, which laid the groundwork for his teaching, supervision, and innovative research contributions at MMU. His educational background, centered on a research-intensive model, reflects the synthesis of academic theory and practical innovation that characterizes his work today.

Experience

Assoc. Prof. Dr. Goh Kah Ong Michael has a well-established professional history with Multimedia University, Malaysia, spanning over two decades. He began his career as a Tutor at the Faculty of Information Science & Technology (FIST). He was appointed as a Lecturer and elevated to Senior Lecturer. He served as Deputy Dean of Student Affairs and Alumni, where he provided strategic leadership in academic administration and student engagement. He also had an industrial attachment with Heathmetrics Sdn Bhd, fostering industry-academic collaboration and applying academic research to practical applications. This rich blend of academic and industry experience has honed his capabilities in academic governance, curriculum development, student mentorship, and real-world technology deployment. His ongoing role as Associate Professor continues to leverage his expertise in AI, biometrics, and software development. Through his involvement in university committees, innovation competitions, and cross-institutional collaboration, Dr. Goh demonstrates a commitment to excellence in teaching, research, and societal impact, making him a vital contributor to both MMU and Malaysia’s wider research ecosystem.

Research Interest

Dr. Goh’s research interests encompass a wide spectrum of areas within Artificial Intelligence and digital systems engineering. A significant portion of his work is dedicated to contactless biometric technologies, especially those using palm vein, palm print, and finger vein recognition. These technologies are integral to secure authentication systems and form the core of his early and ongoing research. He has also extensively explored video analytics, pattern recognition, image processing, and data classification for security, healthcare, and smart city applications. One of his signature projects, the “Smart Traffic Impact Assessment System”, represents a major advancement in urban AI, combining real-time data analysis with predictive modeling. Another domain of interest is gait recognition and spatiotemporal feature extraction, applied to age-based classification systems using AI algorithms. His interdisciplinary approach blends software engineering with signal processing and machine learning, leading to innovative tools with societal benefits. Additionally, he is actively engaged in research around reinforcement learning for dynamic pricing systems, integrating AI with economics. Dr. Goh’s projects reflect a strong application-driven research philosophy, pushing boundaries in how AI can be embedded into everyday environments for efficiency, safety, and sustainability.

Research Skills

Dr. Goh possesses a diverse and advanced set of research skills that have been instrumental in developing intelligent digital solutions. His core technical proficiencies include AI modeling, deep learning, video analytics, and multimodal data fusion, particularly in biometric systems. He is highly skilled in software and application development, with extensive experience in developing both academic prototypes and deployable commercial systems. His expertise also extends to database design and management, essential for handling large-scale biometric and visual data. He has a strong command over object recognition and pattern classification techniques using AI and machine learning frameworks. Dr. Goh is also experienced in reinforcement learning algorithms, used in his dynamic pricing and smart city projects. On the academic side, he is adept at writing research proposals, publishing in high-impact journals, and presenting findings at international conferences. His collaborative skills are evidenced by successful multi-author book chapters and interdisciplinary project leadership. Moreover, he excels in mentoring postgraduate students and coordinating innovation competitions. With this unique combination of programming, analytical, leadership, and project management skills, Dr. Goh consistently delivers impactful, high-quality research.

Awards and Honors

Dr. Goh has received numerous awards and recognitions at national and international levels, affirming his excellence in research and innovation. Most notably, he was awarded the ITEX SPECIAL MINDS Thematic Award 2024 and a Gold Medal for his “Smart Traffic Impact Assessment System” at the International Invention, Innovation, Technology Exhibition (ITEX). He also earned multiple accolades for “CloudPark – The Smart City Parking Solution,” including gold medals and top placements in PROCOM and Infineon competitions. His consistent success in innovation is further illustrated  for biometric systems, video puzzle learning tools, and intelligent scanning devices. he received the Outstanding Research Award from Multimedia University, a testament to his sustained scholarly contribution. Earlier recognitions, including the Silver Medal at ITEX for “Palm’n Go – A Touchless Biometric System”, mark the beginning of his decorated research journey. Dr. Goh’s portfolio of over 18 innovation awards highlights his commitment to creating solutions that are both technically robust and socially impactful. These accolades validate his role as a thought leader in biometric AI and smart systems research.

Publication Top Notes

  • “An automated palmprint recognition system”, Image and Vision Computing, 2005 – Cited 396.

  • “PalmHashing: a novel approach for cancelable biometrics”, Information Processing Letters, 2005 – Cited 255.

  • “Touch-less palm print biometrics: Novel design and implementation”, Image and Vision Computing, 2008 – Cited 245.

  • “Facial expression recognition using a hybrid CNN–SIFT aggregator”, International Workshop on Multi-disciplinary Trends in Artificial Intelligence, 2017 – Cited 198.

  • “Palmprint recognition with PCA and ICA”, Proc. Image and Vision Computing New Zealand, 2003 – Cited 163.

Conclusion

Assoc. Prof. Ts. Dr. Goh Kah Ong Michael stands as a shining example of how academic rigor, technological innovation, and community engagement can converge to make a lasting impact. His career is marked by groundbreaking contributions in AI-driven biometrics and smart city solutions, with practical outputs recognized at the highest levels through international innovation awards. As a mentor, educator, and innovator, he continues to shape the future of information technology and digital systems in Malaysia and beyond. His research not only addresses complex technical challenges but also offers scalable solutions that benefit society, including urban traffic management and secure identification technologies. With his impressive publication record, long-term academic service, and forward-looking research agenda, Dr. Goh is well-positioned to assume future leadership roles in research policy, international collaboration, and higher education development. His contributions exemplify excellence in research translation and academic leadership, making him a deserving candidate for international recognition and continued advancement in the global research landscape.

Aileen Pfeil | Blockchain | Best Researcher Award

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Dr. Aileen Pfeil | Blockchain | Best Researcher Award

Academic Councilor at University of Duisburg-Essen, Institute for Construction Management, Germany

Dr.-Ing. Aileen Pfeil is a Senior Researcher at the University of Duisburg-Essen, specializing in digitalization and automation in construction. Her expertise lies in the development of cable robot technology for masonry construction and the integration of blockchain solutions for project management. With a Ph.D. in construction automation, she has led and coordinated multiple national and international research projects. She has actively contributed to industry-sponsored projects, facilitating collaborations between academia and industry to advance automation and robotics in the construction sector. Her research focuses on optimizing efficiency, precision, and transparency in construction workflows, bridging the gap between theoretical advancements and real-world applications.

Professional Profile

Education

Dr. Aileen Pfeil earned her Ph.D. (Dr.-Ing.) in 2024 from the University of Duisburg-Essen, where she conducted research on the automation of construction sites using cable robotics. She previously completed her master’s degree in Civil Engineering at the same institution, with a focus on digitalization in construction. During her academic journey, she engaged in interdisciplinary research, combining automation, robotics, and construction management. Her studies have equipped her with expertise in innovative construction technologies, ensuring her strong foundation in both theoretical and applied research.

Professional Experience

Dr. Pfeil has been a part of the University of Duisburg-Essen’s Institute of Construction Management and Construction Operations since 2020. As an Academic Councillor and Senior Researcher, she has taken on leadership roles in multiple research projects. She has collaborated with industry partners to enhance digital construction execution, contributing to the development of cable-driven robotics for automated masonry construction. Her role includes coordinating research teams, supervising students, and integrating digital solutions into construction workflows. She has also actively participated in peer reviewing for scientific journals and conferences in the field of construction automation.

Research Interests

Dr. Pfeil’s research interests encompass automation and robotics in construction, with a particular focus on cable robot technology for masonry construction. She is also engaged in the digitalization of construction sites, workflow optimization, and human-machine interaction. Another key area of her research is the integration of blockchain technologies for secure and transparent construction project management. Her interdisciplinary approach combines automation, construction management, and digital innovation to improve efficiency and sustainability in the construction industry.

Research Skills

Dr. Pfeil possesses advanced research skills in construction automation, digitalization, and robotic applications. She is proficient in developing and implementing cable robot technologies, optimizing construction processes, and integrating blockchain systems for project management. Her expertise extends to interdisciplinary collaboration, project coordination, and industry-academic partnerships. She has experience in scientific writing, peer reviewing, and contributing to book chapters and conference proceedings. Additionally, she is skilled in experimental design, data analysis, and the practical application of emerging construction technologies.

Awards and Honors

Although Dr. Pfeil is in the early stages of her academic career, she has made significant contributions to the field of construction automation. Her research leadership in national and international projects has been recognized within the academic and industrial sectors. She has been involved in innovative developments in digital construction, positioning her as a promising researcher in her field. She is actively working on securing patents for her research and continues to gain recognition for her contributions to automation and robotics in construction.

Conclusion

Dr. Aileen Pfeil’s contributions to digitalization and automation in construction make her a strong candidate for the Best Researcher Award. Her expertise in cable robotics, blockchain integration, and construction automation highlights her innovative approach to advancing the field. Despite being at an early stage in her career, her leadership in research projects and collaborations with industry partners demonstrate her impact. While her citation index is still developing, her research potential is evident in her ongoing projects and forthcoming publications. As she continues to work on patents and expand her research portfolio, Dr. Pfeil is poised to make lasting contributions to the construction industry.

 

André Guimarães | Computer Science | Best Researcher Award

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Mr. André Guimarães | Computer Science | Best Researcher Award

Researcher at University of Beira Interior, Portugal

André Guimarães is a distinguished mechanical engineer and academic, renowned for his extensive contributions to mechanical engineering, industrial management, and digital transformation. With over a decade of professional experience in the manufacturing industry, he has seamlessly integrated practical expertise with academic pursuits. Currently, as a Ph.D. candidate in Industrial Engineering and Management at the University of Beira Interior, André is delving into advanced research areas, particularly focusing on Industry 4.0 and its implications for modern manufacturing processes. His role as a Guest Lecturer at the Polytechnic Institute of Viseu underscores his commitment to education and knowledge dissemination. André’s scholarly contributions include several scientific publications that explore the intersections of polymeric materials, lean management, and asset management. His active participation in various research projects highlights his dedication to advancing engineering practices and promoting digital transformation within the industry. André’s multifaceted career reflects a harmonious blend of industry experience, academic excellence, and a passion for fostering innovation in engineering.

Professional Profile

Education

André’s academic journey commenced with a Bachelor’s degree in Mechanical Engineering, laying a robust foundation in engineering principles. He further augmented his expertise by obtaining a Master’s degree in Mechanical Engineering and Industrial Management, where he engaged in research focusing on the development of novel adhesive joints utilizing fiber-metal laminates. Demonstrating a commitment to continuous learning, André pursued a postgraduate degree in Industry 4.0 and Digital Transformation from the Instituto Superior de Engenharia do Porto. This advanced training equipped him with contemporary insights into the integration of digital technologies within industrial frameworks. Currently, as a doctoral candidate at the University of Beira Interior, supported by a scholarship from the Foundation for Science and Technology, André is investigating the transformative impacts of digitalization on industrial processes. His diverse educational background reflects a dedication to both theoretical understanding and practical application, positioning him at the forefront of engineering innovation and digital advancement.

Professional Experience

André’s professional trajectory encompasses significant roles in both industry and academia. He dedicated over ten years to the manufacturing sector, notably serving as a Production Manager at IPROM – Indústria de Produtos Metálicos Lda. In this capacity, he honed his skills in production optimization, quality control, and team leadership, directly overseeing manufacturing operations and implementing process improvements. Transitioning to academia, André has been a Guest Lecturer at the Polytechnic Institute of Viseu since 2019, where he imparts knowledge in mechanical engineering and industrial management. His teaching methodology is enriched by his industry experience, providing students with practical perspectives on theoretical concepts. Additionally, André has contributed to various research initiatives, collaborating with institutions such as the University of Beira Interior’s Electromechatronic Systems Research Centre (CISE) and the Research Centre for Digital Services (CISeD) at the Polytechnic Institute of Viseu. His dual engagement in industry and academia underscores a comprehensive understanding of engineering challenges and solutions.

Research Interests

André’s research interests are centered around the integration of advanced technologies within industrial systems. He is particularly focused on Industry 4.0, exploring how digital transformation can enhance manufacturing efficiency and competitiveness. His work delves into the application of lean management principles in conjunction with digital tools to streamline production processes and reduce waste. André is also invested in the study of polymeric materials, investigating their properties and potential applications in modern engineering solutions. Another facet of his research involves asset management, where he examines strategies for optimizing the lifecycle and performance of industrial assets through predictive maintenance and data analytics. By bridging the gap between traditional engineering practices and contemporary technological advancements, André aims to contribute to the development of sustainable and efficient industrial systems.

Research Skills

André possesses a diverse skill set that encompasses both technical and analytical proficiencies. He is adept at conducting comprehensive data analysis, utilizing statistical tools to interpret complex datasets and inform decision-making processes. His expertise in numerical modeling and simulation enables him to predict system behaviors and optimize engineering designs. André is proficient in hydrodynamic modeling, particularly within the context of coastal engineering, allowing for accurate assessments of environmental impacts on engineering projects. His experience in project management is evidenced by his coordination of research initiatives, where he oversees project development, resource allocation, and team collaboration. Additionally, André’s teaching experience has honed his ability to communicate complex concepts effectively, both in written and oral formats, facilitating knowledge transfer and fostering educational growth.

Awards and Honors

Throughout his career, André has been recognized for his academic and professional excellence. He was awarded a doctoral scholarship by the Foundation for Science and Technology, acknowledging his potential to contribute significantly to research in Industrial Engineering and Management. His scholarly work has been featured in reputable journals and conferences, reflecting peer recognition of his contributions to the fields of Industry 4.0, lean management, and polymeric materials. André’s commitment to education and research has also been acknowledged through invitations to present at international conferences, where he has shared his insights on digital transformation and industrial optimization. These accolades underscore his dedication to advancing engineering practices and his impact on both academic and industrial communities.

Conclusion

In summary, André Guimarães exemplifies a professional who seamlessly integrates industry experience with academic prowess. His extensive background in mechanical engineering and industrial management, coupled with a strong focus on digital transformation, positions him as a leader in modern engineering practices. André’s dedication to research is evident through his diverse interests and active participation in projects that bridge the gap between traditional engineering and contemporary technological advancements. His commitment to education, demonstrated by his role as a Guest Lecturer, reflects a passion for fostering the next generation of engineers. As he continues his doctoral research, André is poised to make further significant contributions to the fields of industrial efficiency and digital innovation, driving progress in both academic and practical domains.

Publication Top Notes

  • Development of a Polymer Filament Extruder: Recycling 3D Printer Waste

    • Authors: André Guimarães, Samuel Messias, João Lopes, José Salgueiro, Daniel Gaspar
    • Year: 2025
    • Journal: Kexue Tongbao/Chinese Science Bulletin

  • Effects of Lean Tools and Industry 4.0 Technology on Productivity: An Empirical Study

    • Authors: André Guimarães, Eduardo e Oliveira, Marisa Oliveira, Teresa Pereira
    • Year: 2025
    • Journal: Journal of Industrial Information Integration

  • Implementation of Autonomous Mobile Robots in Intralogistics: Simulations in a Case Study

    • Authors: André Guimarães, A. Silva, J. Teixeira, F. Gomes, S. Martins
    • Year: 2025
    • Journal: Kexue Tongbao/Chinese Science Bulletin

  • The Influence of Consumer, Manager, and Investor Mood and Sentiment on Excess Market Returns

    • Authors: Pedro Nogueira Reis, António Pedro Soares Pinto, André Guimarães
    • Year: 2025
    • Journal: Investment Management and Financial Innovations

  • A Hybrid Strategy for Paint Greenhouse Optimization in Aerospace Manufacturing: Lean Principles and Mathematical Modelling

    • Authors: Maria Teresa Pereira, Marisa Pereira, Fernanda Ferreira, Francisco Silva, André Guimarães
    • Year: 2025
    • Conference: FAIM 25 – The 34th International Conference on Flexible Automation and Intelligent Manufacturing

  • Digital Transformation in Costing for Third-Part Logistics: A Case Study

    • Authors: Maria Teresa Pereira, Nuno Gabriel, Marisa Pereira, Filipe Ramos, André Guimarães
    • Year: 2025
    • Conference: DSMIE – 8th International Conference on Design, Simulation, Manufacturing: The Innovation Exchange

  • Effects of Lean Tools and Industry 4.0 Technology on Productivity: An Empirical Study

    • Authors: André Guimarães, Eduardo e Oliveira, Marisa Oliveira, Teresa Pereira
    • Year: 2025
    • Journal: Journal of Industrial Information Integration
    • DOI: 10.1016/j.jii.2025.100787

  • The Influence of Consumer, Manager, and Investor Sentiment on US Stock Market Returns

    • Authors: Pedro Manuel Nogueira Reis, Antonio Pedro Soares Pinto, André Guimarães
    • Year: 2025
    • Journal: Investment Management and Financial Innovations
    • DOI: 10.21511/imfi.22(1).2025.18

  • A Integração da Transformação Digital na Gestão de Ativos nas Empresas Nacionais

    • Authors: Samuel Messias, André Guimarães, Hugo Raposo, Daniel Gaspar
    • Year: 2024
    • Conference: 11.º ENEGI, Encontro Nacional de Engenharia e Gestão Industrial

  • Asset Management and the Digital Transformation of Companies in Portugal: A Thematic Literature Review

    • Authors: Samuel Messias, André Guimarães, Hugo Raposo, Daniel Gaspar
    • Year: 2024
    • Journal: Journal of Management Science and Engineering

 

Jiancheng Huang | Mineral Engineering | Best Researcher Award

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Mr. Jiancheng Huang | Mineral engineering | Best Researcher Award

Master Degree Candidate at University Of South China, China.

Mr. Jiancheng Huang is an emerging researcher in the field of mining engineering, currently pursuing a master’s degree at the University of South China. He holds a bachelor’s degree in Civil Engineering from Huangshan University, where he laid the groundwork for his academic journey. Mr. Huang’s research primarily focuses on deep rockburst mechanisms and water-rock interactions, contributing to a better understanding of geological processes. He has published three academic papers and applied for three patents, showcasing his innovative approach to engineering challenges. With a cumulative impact factor of 15.1 over the past three years, he is making significant strides in mineral engineering research.

Profile:

Education

Mr. Jiancheng Huang graduated with a bachelor’s degree in Civil Engineering from Huangshan University, where he developed a strong foundation in engineering principles and practices. He is currently pursuing a master’s degree in Mining Engineering at the University of South China, focusing on advanced topics such as deep rockburst mechanisms and water-rock interactions. This ongoing education reflects his commitment to furthering his expertise in mining engineering and addressing critical challenges within the field.

Professional Experience

Mr. Jiancheng Huang has gained valuable practical experience in the field of civil and mining engineering. He completed his undergraduate studies at Huangshan University, where he participated in various projects related to civil engineering, applying theoretical knowledge to real-world scenarios. Currently, as a master’s student at the University of South China, he is engaged in research focusing on deep rockburst mechanisms and water-rock interactions. This research not only enhances his academic credentials but also equips him with hands-on experience in laboratory settings and field studies. Through his involvement in multiple research projects, he has developed skills in data analysis, problem-solving, and collaboration, further establishing his foundation in engineering practices.

Research Interest

Mr. Jiancheng Huang’s primary research interests lie in the fields of mineral engineering, particularly focusing on deep rockburst mechanisms and water-rock interactions. His work aims to understand the complex behaviors of rocks under stress, particularly in mining contexts, where rockbursts can pose significant safety risks. He employs advanced methodologies, including experimental studies and theoretical modeling, to investigate the energy dynamics involved in rock failure and the impact of water on rock stability. Additionally, Mr. Huang is keen on exploring innovative approaches to improve safety measures and engineering practices in mining operations, contributing to sustainable resource extraction.

Research Skills

Mr. Jiancheng Huang possesses a robust set of technical and analytical skills essential for his research in mineral engineering. He is proficient in advanced data analysis and modeling techniques, allowing him to interpret complex geological and engineering data effectively. His expertise includes rock mechanics, geotechnical engineering, and experimental design, particularly related to rockburst phenomena and water-rock interactions. Additionally, Mr. Huang has hands-on experience with various laboratory techniques and testing methods for evaluating rock properties. He is adept at utilizing software tools for simulation and analysis, further enhancing his research capabilities. His strong problem-solving skills, combined with effective communication abilities, enable him to collaborate with multidisciplinary teams and present his findings clearly.

Conclusion

Based on his educational background, research contributions, and commitment to innovation, Mr. Jiancheng Huang is a suitable candidate for the Best Researcher Award. His work in mineral engineering has the potential to significantly impact the field, making him a deserving recipient of this recognition.

Publication Top Notes

Title: An energy-based method for uniaxially compressed rocks and its implication

  • Journal: Journal of Rock Mechanics and Geotechnical Engineering
  • Year: 2024
  • DOI: 10.1016/j.jrmge.2024.07.002
  • Contributors: Yong Luo, Jiancheng Huang, Xuefeng Si, Feng Lin, Wuxing Wu
  • Type: Journal article

Charu Krishna | Blockchain | Women Researcher Award

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Assist Prof Dr. Charu Krishna | Blockchain | Women Researcher Award

Assistant Professor at Thapar Institute of Engineering and Technology, India.

Assist Prof. Dr. Charu Krishna is an accomplished academic and researcher in the field of Computer Science and Engineering. Currently pursuing her Ph.D. at Motilal Nehru National Institute of Technology Allahabad, she specializes in developing transparent and trustworthy healthcare systems using blockchain, Internet of Things (IoT), and machine learning technologies. Dr. Krishna holds an M.Tech degree from Delhi Technological University and a B.Tech degree from Abdul Kalam Technical University. She has published several papers in prestigious journals, focusing on innovative applications of blockchain in healthcare, pandemic patient monitoring, and image processing. With teaching experience at various institutions, she is dedicated to mentoring the next generation of engineers and promoting advancements in technology for societal benefit. In addition to her academic pursuits, Dr. Krishna has actively contributed to extracurricular initiatives, demonstrating her commitment to community service and education.

Profile:

Education

Assist Prof. Dr. Charu Krishna is currently pursuing her Ph.D. in Computer Science and Engineering at Motilal Nehru National Institute of Technology Allahabad, where she has achieved a commendable CGPA of 8.25 in her coursework since September 2020. She holds a Master of Technology (M.Tech) in Computer Science and Engineering from Delhi Technological University, where she graduated with an overall percentage of 72 from August 2014 to June 2016. Prior to that, she earned her Bachelor of Technology (B.Tech) degree from Abdul Kalam Technical University, Lucknow, with an overall percentage of 66 from July 2009 to June 2013. Dr. Krishna’s educational foundation includes a high level of achievement in her Intermediate and High School studies, where she obtained 94% and 91%, respectively, from Loreto Convent, Lucknow, demonstrating her consistent commitment to academic excellence throughout her educational journey.

Professional Experience

Assist Prof. Dr. Charu Krishna has accumulated valuable experience in academia, serving in various teaching roles within the field of Computer Science and Engineering. Most recently, she held the position of Assistant Professor at Thapar Institute of Engineering and Technology in Patiala from May 2024 to September 2024, where she taught courses such as Data Structures and Blockchain. Prior to this, she served as an Assistant Professor at the Institute of Engineering and Rural Technology in Prayagraj from January 2018 to September 2020, imparting knowledge on subjects including Programming for Problem Solving, Data Structures using C, Software Engineering, and Digital Image Processing. Dr. Krishna began her academic career as a Teaching Assistant at Delhi Technological University from 2014 to 2016, where she contributed to the learning environment of students in the Computer Science and Engineering department. Her diverse teaching experiences reflect her commitment to fostering a comprehensive understanding of computer science concepts among her students while also engaging in research initiatives that address real-world challenges.

Research Interest

Assist Prof. Dr. Charu Krishna’s research interests lie at the intersection of emerging technologies and healthcare, with a particular focus on the integration of blockchain, Internet of Things (IoT), and machine learning to develop innovative solutions for pressing healthcare challenges. Currently, she is pursuing her Ph.D. thesis on creating a transparent and trustworthy healthcare system that leverages distributed ledger technology to enhance patient monitoring during pandemics and emergency situations. Her previous research includes projects on image enhancement techniques, breast cancer detection using convolutional neural networks (CNNs), and various applications of blockchain technology in healthcare systems. Dr. Krishna is passionate about exploring the potential of these technologies to improve patient outcomes, enhance data security, and streamline healthcare processes. Through her work, she aims to contribute to the advancement of intelligent systems that address the complexities of modern healthcare delivery.

Research Skills

Assist Prof. Dr. Charu Krishna possesses a diverse set of technical skills and competencies that enhance her contributions to the fields of computer science and engineering. She specializes in blockchain technology, machine learning, and the Internet of Things (IoT), enabling her to develop innovative solutions for complex problems. Proficient in programming languages such as C, C++, Java, Python, SQL, and MATLAB, she adeptly applies these skills to various projects and research initiatives. Dr. Krishna is also experienced with software and tools including Remix, Ganache, Google Colaboratory, Visual Studio, Oracle, MySQL, Jupyter Notebook, and NetBeans, facilitating her work in both academic and practical environments. Additionally, she has taught a wide array of subjects, including Data Structures, Programming for Problem Solving, Database Management Systems (DBMS), Operating Systems, Digital Electronics, Computer Networks, Software Engineering, and Discrete Mathematics. Her technical expertise is complemented by her strong communication skills and commitment to fostering a collaborative learning environment.

Award and Recognition

Assist Prof. Dr. Charu Krishna has garnered significant recognition for her academic and professional achievements throughout her career. She successfully secured a prestigious campus placement during her time at Delhi Technological University, where she was offered a competitive package of 10 LPA. Demonstrating her academic excellence, Dr. Krishna qualified for the Graduate Aptitude Test in Engineering (GATE) in 2014 with an impressive percentile of 98, achieving this distinction multiple times thereafter. She also earned the University Grants Commission-National Eligibility Test (NET) certification for Assistant Professors in 2015. Her dedication to research and academic development has been acknowledged through her active role as a reviewer for various conferences, where her insights contribute to advancing the field. Additionally, Dr. Krishna excelled in competitive examinations, securing the third rank in the AKTU Ph.D. entrance test in 2019. Her contributions to education and community service have further solidified her reputation as a committed and influential figure in her discipline.

Conclusion

Assist Prof. Dr. Charu Krishna’s impressive academic background, ongoing innovative research, extensive teaching experience, and commitment to community service make her an exemplary candidate for the Research for Women Researcher Award. Her dedication to advancing knowledge in her field, coupled with her technical expertise and passion for teaching, positions her as a role model for aspiring women researchers in technology and engineering.

Publication Top Notes

  • MedBlockSure: Blockchain-based insurance system
    • Authors: C. Krishna, D. Kumar, D.S. Kushwaha
    • Journal: Cognitive Computation and Systems
    • Year: 2024
    • Type: Article in Press, Open access
  • Professional Ethics, Challenges and Opportunities for Blockchain Technology in Healthcare Sector: A Systematic Review
    • Authors: K. Singh, C. Krishna, D. Kumar
    • Journal: Recent Advances in Computer Science and Communications
    • Year: 2024
    • Volume: 17(1), pp. 72–86
    • DOI: e201123223664
    • Type: Review
  • A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research Challenges
    • Authors: C. Krishna, D. Kumar, D.S. Kushwaha
    • Journal: Wireless Personal Communications
    • Year: 2023
    • Volume: 131(3), pp. 2125–2172
    • Type: Review, Open access
    • Citations: 4
  • Use Cases of Blockchain in Post-Covid Healthcare
    • Authors: C. Krishna, D. Kumar, D.S. Kushwaha
    • Book Title: Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things
    • Year: 2023
    • Pages: 167–179
    • Type: Book Chapter

Navid Ghaffarzadeh | Engineering | Best Researcher Award

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Assoc Prof Dr. Navid Ghaffarzadeh | Engineering | Best Researcher Award

Assoc Prof Dr. Navid Ghaffarzadeh, Imam Khomeini International University, Iran

Assoc Prof Dr. Navid Ghaffarzadeh is an accomplished engineer recognized for his innovative contributions to the field of engineering. With a focus on [specific area of expertise], he has been instrumental in advancing research and development initiatives. His dedication and impactful work earned him the prestigious Best Researcher Award, highlighting his commitment to excellence and collaboration. Navid continues to inspire through his research, aiming to drive advancements that benefit both industry and society.

 

Profile:

Education

Navid Ghaffarzadeh earned his PhD in Electrical Engineering from Iran University of Science and Technology in Tehran, completing his studies from September 2007 to April 2011. Prior to that, he obtained his Master of Science in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic) between September 2005 and August 2007. He also holds a Bachelor of Science in Electrical Engineering from Zanjan University, where he studied from September 2001 to June 2005.

Professional Activities

Navid Ghaffarzadeh is actively engaged in the academic community as a reviewer for numerous prestigious journals in the field of electrical engineering. His reviewing contributions span a wide array of publications, including Renewable and Sustainable Energy Reviews, Applied Energy, Journal of Energy Storage, and IEEE Transactions on Power Systems, among others, with impact factors ranging from 1.276 to 16.799. With over 100 reviewed journal papers, Navid plays a vital role in advancing research quality and integrity in the field. His extensive experience demonstrates his commitment to fostering innovation and excellence in engineering research.

Research Interests

Navid Ghaffarzadeh’s research interests encompass a wide range of cutting-edge topics in electrical engineering. He focuses on renewable energy, exploring innovative solutions in battery energy storage systems and electric vehicles. His work in microgrid and smart grid design aims to enhance the efficiency and reliability of power systems. Navid is particularly interested in the application of artificial intelligence in renewable energy systems, as well as power systems protection and transients. Additionally, he investigates intelligent systems and optimization techniques to improve power systems, with a strong emphasis on ensuring power quality.

Honors and Awards: ‌

Navid Ghaffarzadeh has received numerous honors and awards throughout his academic and professional career. In 2012, he was honored with the IET Science, Measurement and Technology Premium Award for his outstanding paper on power quality disturbances, recognized as one of the best published in the journal. He has been named Outstanding Researcher at I.K International University multiple times, in 2013, 2014, 2016, and 2020, and has also received the Outstanding Professor award in 2017, 2019, 2020, 2021, and 2023. Additionally, he was awarded the Best Iranian PhD Dissertation in power system protection, highlighting his significant contributions to the field. Navid achieved top rankings in his studies, finishing first among PhD electrical power engineering students at Iran University of Science and Technology with a GPA of 18.72 out of 20, first among M.Sc. students at Amirkabir University of Technology with a GPA of 19.18 out of 20, and first among B.Sc. students at Zanjan University with a GPA of 18.36 out of 20.

 

Publication Top Note

A. Bamshad, N. Ghaffarzadeh, “A novel smart overcurrent protection scheme for renewables-dominated distribution feeders based on quadratic-level multi-agent system (Q-MAS),” Electrical Engineering, vol. 105, pp. 1497–1539, February 2023.

S. Ansari, N. Ghaffarzadeh, “A Novel Superimposed Component-Based Protection Method for Multi Terminal Transmission Lines Using Phaselet Transform,” IET Generation, Transmission & Distribution, vol. 17, no. 1, pp. 469–485, January 2023.

A. HN. Tajani, A. Bamshad, N. Ghaffarzadeh, “A novel differential protection scheme for AC microgrids based on discrete wavelet transform,” Electric Power Systems Research, vol. 220, pp. 1-12, July 2023.

A. Zarei, N. Ghaffarzadeh, “Optimal Demand Response-based AC OPF Over Smart Grid Platform Considering Solar and Wind Power Plants and ESSs with Short-term Load Forecasts using LSTM,” Journal of Solar Energy Research, vol. 8, no. 2, pp. 1367-1379, April 2023.

M. Dodangeh, N. Ghaffarzadeh, “A New Protection Method for MTDC Solar Microgrids using on-line Phaselet, Mathematical Morphology, and Signal Energy Analysis,” Energy Engineering & Management, vol. 13, no. 1, pp. 40-53, March 2023 (in Persian).

M. Dodangeh, N. Ghaffarzadeh, “An Intelligent Protection Method for Multi-terminal DC Microgrids Using On-line Phaselet, Mathematical Morphology, and Fuzzy Inference Systems,” Energy Engineering & Management, vol. 12, no. 2, pp. 12-25, August 2022 (in Persian).

M. Dodangeh, N. Ghaffarzadeh, “Optimal Location of HTS-FCLs Considering Security, Stability, and Coordination of Overcurrent Relays and Intelligent Selection of Overcurrent Relay Characteristics in DFIG Connected Networks Using Differential Evolution Algorithm,” Energy Engineering & Management, vol. 10, no. 2, pp. 14-25, May 2020 (in Persian).

A. Inanloo Salehi, N. Ghaffarzadeh, “Fault detection and classification of VSC-HVDC transmission lines using a deep intelligent algorithm,” International Journal of Research and Technology in Electricity Industry, vol. 1, no. 2, pp. 161-170, September 2022.

N. Ghaffarzadeh, H. Faramarzi, “Optimal Solar plant placement using holomorphic embedded power flow considering the clustering technique in uncertainty analysis,” Journal of Solar Energy Research, vol. 7, no. 1, pp. 997-1007, Winter 2022.

N. Ghaffarzadeh, A. Bamshad, “A new approach to AC microgrids protection using a bi-level multi-agent system,” International Journal of Research and Technology in Electricity Industry, vol. 1, no. 1, pp. 66-74, March 2022.

Amel SAHLI | Computer Science | Best Researcher Award

Published on by Shen Awards

MS. Amel SAHLI | Computer Science | Best Researcher Award

École Nationale des Sciences de l’Informatique , Tunisia

Amel Sahli is a dedicated researcher pursuing her PhD in computer science at the École Nationale des Sciences de l’Informatique in Tunisia, focusing on optimizing e-learning processes through AI and key performance indicators. She holds a Master’s degree in information systems and has published significant work on performance measurement in education. Sahli’s diverse professional background includes roles as a contract lecturer and various internships, providing her with practical insights and teaching experience. Her technical skills in programming and web development, coupled with her proficiency in Arabic, French, and English, enhance her ability to engage with the international research community. Amel Sahli’s commitment to advancing educational methodologies through her research makes her a strong candidate for the Best Researcher Award, highlighting her potential to contribute meaningfully to the field of education technology.

 

Profile:

Education

Amel Sahli is currently pursuing her PhD in computer science at the École Nationale des Sciences de l’Informatique (ENSI) in Tunisia. Her doctoral research focuses on developing an integrated approach that leverages artificial intelligence (AI) and key performance indicators (KPIs) to optimize e-learning processes. Prior to her PhD, she earned a Master’s degree in information systems and web technologies, where she studied performance measurement in educational settings. This followed her Bachelor’s degree in computer science, during which she designed and implemented web applications for educational management. Sahli’s academic journey has been marked by consistent excellence, earning distinctions in her studies and developing a strong foundation in both theoretical and practical aspects of computer science. Her educational background not only highlights her technical competencies but also underscores her commitment to advancing the field of education through innovative research.

Professional Experiences

Amel Sahli has gained diverse professional experience that enriches her academic pursuits. She began her career as a bank intern and a counter agent, where she honed her customer service and operational skills. Following these roles, she interned at the Institut Supérieur d’Informatique du Kef, further deepening her understanding of information technology in educational contexts. In 2023, she transitioned into academia as a part-time lecturer, sharing her expertise in computer science with students. Currently, Sahli is engaged in research at the RIADI laboratory at the Université de la Manouba, where she applies her knowledge of artificial intelligence and KPIs to enhance e-learning processes. This combination of practical experience and academic engagement positions her as a well-rounded professional, capable of bridging theory and practice effectively. Sahli’s journey reflects her commitment to continuous learning and development in both research and teaching.

Research Skills

Amel Sahli possesses a robust set of research skills that are essential for her academic pursuits. Her expertise in quantitative and qualitative research methodologies allows her to design comprehensive studies that yield meaningful insights. Proficient in data analysis, Sahli employs statistical tools to interpret complex datasets, ensuring her findings are both reliable and impactful. Additionally, her experience in academic writing and publication equips her to effectively communicate her research outcomes to diverse audiences. Sahli’s ability to critically evaluate existing literature enables her to identify gaps in knowledge, guiding her own research questions. Her strong organizational skills facilitate the management of research projects, from initial conception to final execution. Moreover, her proficiency in various programming languages and web development enhances her capability to create innovative solutions within her research, particularly in optimizing e-learning processes. Overall, Sahli’s comprehensive research skill set positions her as a valuable contributor to the field of computer science and education technology.

Award and Recognition

Amel Sahli has been recognized for her outstanding contributions to the field of computer science and education. Notably, she participated in the “Inspiring Research & Innovation Using IEEE Publications” event, demonstrating her commitment to advancing research practices. Additionally, she attended the “23rd International Conference on Intelligent Systems Design and Applications,” where she engaged with leading experts and shared her insights. Her certifications from prestigious organizations, including Google and Microsoft, further attest to her dedication to continuous learning and professional development. Moreover, Sahli’s article on performance measurement in educational processes has been published in Procedia Computer Science, enhancing her visibility in academic circles. These recognitions not only reflect her hard work and innovation but also position her as a rising star in her field, earning her respect among peers and contributing to her eligibility for the Best Researcher Award.

Conclusion

In conclusion, Amel Sahli exemplifies the qualities sought in a candidate for the Best Researcher Award. Her academic journey, characterized by a robust educational background in computer science and information systems, has equipped her with the necessary tools to conduct meaningful research. Her focus on optimizing e-learning processes through the integration of AI and KPIs showcases her innovative approach to addressing contemporary educational challenges. Furthermore, her contributions to peer-reviewed journals and participation in international conferences illustrate her commitment to advancing knowledge in her field. Sahli’s diverse professional experiences, ranging from teaching to research, highlight her multifaceted skill set and adaptability. With her proficiency in multiple languages and technical expertise, she stands out as a collaborative researcher poised to make a lasting impact in education technology. Thus, Amel Sahli is not only a deserving nominee but also a potential leader in shaping the future of educational practices.

Publication Top Note

  • Conference Paper in Procedia Computer Science
    • Title: Performance Measurement of Reading Teaching-Learning Business Processes: Case of Whole-Word and Syllabic Reading Methods in Primary Schools
    • Authors: Amel Sahli, A. Mejri, A. Louati
    • Year: 2024
    • Citations: 0
  • Conference Paper in Lecture Notes in Networks and Systems
    • Title: Performance Measurement of Reading Teaching-Learning Business Processes: Case of Whole-Word and Syllabic Reading Methods in Primary Schools
    • Authors: Amel Sahli, A. Mejri, A. Louati
    • Year: 2024
    • Citations: 0