Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni, Jiangsu Second Normal University, China

Ni Yiyang, a distinguished female professor born in December 1986 in Nanjing, Jiangsu, is the Vice Dean of the School of Computer Engineering at Jiangsu Second Normal University. A member of the Communist Party of China, she completed her Ph.D. in Communication and Information Systems at Nanjing University of Posts and Telecommunications in April 2016. Yiyang is recognized for her contributions to intelligent communication and resource allocation in the Internet of Vehicles. With extensive academic involvement, she has also served as a postdoctoral researcher and lecturer, making significant strides in her field through various research projects and publications.

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Suitability of Prof. Yiyang Ni for the Research for Women Researcher Awards

Prof. Yiyang Ni is a distinguished female researcher in the field of communication engineering, whose contributions significantly align with the objectives of the Research for Women Researcher Awards. Her academic background, robust research agenda, and leadership roles position her as an exemplary candidate for this honor.

EducationĀ 

Prof. Yiyang Ni’s academic journey began at Nanjing University of Posts and Telecommunications, where she earned her Bachelor’s Degree in Communication Engineering in June 2008. She continued her studies at the same institution, pursuing a Master-Doctoral Program in Communication and Information Systems. Under the mentorship of Advisor Zhang Naitong, she successfully obtained her Ph.D. in April 2016. Her education laid a robust foundation for her future research endeavors, particularly in intelligent communication technologies.

ExperienceĀ 

Prof. Yiyang Ni has accumulated diverse teaching and research experiences since 2008. She started as a Teaching Assistant at Nanjing University, progressing to Lecturer and Associate Professor roles at Jiangsu Second Normal University from April 2016 to May 2022. Currently, as Vice Dean, she plays a pivotal role in the School of Computer Engineering. Additionally, since January 2019, she has been involved in postdoctoral research, focusing on innovative communication systems and leading several significant research projects in her field.

Awards and HonorsĀ 

Prof. Yiyang Ni has received numerous accolades throughout her career, reflecting her exceptional contributions to the field of communication. Notable awards include the Second Prize for her IoT Intelligent Management System at the China Communication Society’s Science and Technology Award (2021) and the First Prize at the Jiangsu Information and Communication Industry Science and Technology Award (2021). Her innovative projects have garnered recognition, including the Second Prize for Key Technologies in Edge Networks from the China Institute of Electronics in 2021.

Research FocusĀ 

Prof. Yiyang Ni’s research interests lie at the intersection of intelligent communication, wireless communication, and resource allocation within the Internet of Vehicles. She leads various ongoing projects aimed at developing cutting-edge communication technologies, including the integration of industrial Internet systems and the study of intelligent wireless communication theories for future networks. Her contributions to terahertz communication and device-to-device technologies are particularly noteworthy, advancing the understanding and application of these crucial areas in modern communication systems.

Publiaction Top Notes

  1. Title: Blockchain for the IoT and industrial IoT: A review
    Citation: 415
  2. Title: Beamforming and interference cancellation for D2D communication underlaying cellular networks
    Citation: 56
  3. Title: Performance Analysis for RIS-Assisted D2D Communication Under Nakagami-Fading
    Citation: 44
  4. Title: Energy efficiency and spectrum efficiency in underlay device-to-device communications enabled cellular networks
    Citation: 40
  5. Title: Weighted adaptive KNN algorithm with historical information fusion for fingerprint positioning
    Citation: 31

 

Dr. Roseline Ogundokun | Intrusion Detection System | Best Researcher Award

Dr. Roseline Ogundokun | Intrusion Detection System | Best Researcher Award

Dr. Roseline Ogundokun, Landmark University Omu-Aran, Nigeria

Roseline Oluwaseun Ogundokun is a distinguished academic and researcher in computer science, born in Zaria, Nigeria. Currently serving as a lecturer and researcher at Landmark University, she specializes in machine learning, artificial intelligence, and computer vision. With a strong commitment to education and innovative research, Roseline has made significant contributions to advancing sustainable development goals through technology. She is also involved in mentoring students in STEM fields and has a passion for fostering future generations of scientists.

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Researcher Suitability Summary for the Best Researcher Award: Roseline Oluwaseun Ogundokun

Based on her extensive research output, significant contributions to academia, and commitment to mentoring and inclusive practices, Dr. Roseline Oluwaseun Ogundokun is an exemplary candidate for the Best Researcher Award. Her work not only advances the field of Computer Science but also positively impacts society through innovative solutions. Recognizing her achievements with this award would honor her contributions and inspire further excellence in research and education.

šŸŽ“Ā Education

Roselineā€™s academic journey began with a Bachelorā€™s degree in Management Information Systems from Covenant University, followed by a Masterā€™s in Computer Science from the University of Ilorin. She is currently pursuing dual PhDs in Computer Science and Multimedia Engineering, expected to be completed in 2022 and 2025, respectively. Her diverse educational background has equipped her with a strong foundation in both theoretical and practical aspects of technology, enabling her to contribute effectively to her field.

Ā šŸ’¼ Experience

Roseline has extensive experience in academia, having worked at Landmark University since 2015 as a researcher, lecturer, and administrator. She has taught various courses, including Computer Programming and Software Engineering, while also supervising numerous undergraduate and postgraduate students in innovative research projects. Additionally, she has served as a visiting lecturer at Thomas Adewumi University and the Nigerian Army College of Education, contributing to the development of future tech leaders through her teaching and mentorship.

šŸ… Awards and Honors

Roselineā€™s commitment to research and education has earned her multiple accolades. She has been recognized for her contributions to machine learning and sustainable development, receiving awards from various educational institutions. Her research publications have garnered significant attention, leading to an impressive citation record, reflecting her influence in the academic community. She is also actively involved in mentorship programs, advocating for women’s participation in STEM fields.

šŸŒ Research Focus

Roselineā€™s research interests are centered on artificial intelligence, computer vision, and deep learning. She is particularly focused on employing machine learning models to solve real-world problems across various sectors, including healthcare and telecommunications. Her work aims to advance the integration of technology in achieving sustainable development goals, particularly those related to industry, innovation, and infrastructure.

Ā šŸ“– Publication Tob Notes

Predictive modelling of COVID-19 confirmed cases in Nigeria
Citation Count: 132
IoMT-based wearable body sensors network healthcare monitoring system
Citation Count: 99
Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks
Citation Count: 84
Application of big data with fintech in financial services
Citation Count: 78
An enhanced intrusion detection system using particle swarm optimization feature extraction technique
Citation Count: 62

Dr. Daniel Ortiz-Arroyo | Computer Architecture | Best Researcher Award

Dr. Daniel Ortiz-Arroyo | Computer Architecture | Best Researcher Award

Dr. Daniel Ortiz-Arroyo, Aalborg University, Denmark

Dr. Daniel Ortiz-Arroyo is an Associate Professor at Aalborg University, Denmark, specializing in Artificial Intelligence, Deep Learning, Robotics, Big Data, Data Mining, and Fuzzy Logic. He earned his Ph.D. in Computer Engineering with a minor in Computer Science from Oregon State University, USA, and holds additional degrees in Computer Science and Computer Engineering from the same institution, the National Institute of Astrophysics Optics and Electronics, Mexico, and Iberoamericana University, Mexico. Dr. Ortiz-Arroyo has held academic positions at Erhvervs Akademi Sydvest, Denmark, and the National Institute of Astrophysics, Optics, and Electronics (INAOE), Mexico. His professional memberships include the IEEE Computational Intelligence Society. His research has also explored Computer Architecture, Security, Social Network Analysis, Information Retrieval, and Distributed and High-Performance Computing.

šŸŒĀ Professional Profile:

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Suitability for the Best Researcher Award

  1. Extensive Research Experience: Dr. Ortiz-Arroyoā€™s research spans several high-impact areas such as Artificial Intelligence, Deep Learning, and Robotics. His work in these fields aligns with contemporary advancements in computing and technology.
  2. Innovative Contributions: His research on topics like deep learning and big data demonstrates a strong alignment with current technological trends. His previous research in computer architecture and security also highlights his versatility and depth in the field.
  3. Academic Leadership: His role in designing and writing curricula for advanced degree programs at Aalborg University showcases his leadership in shaping academic programs. This involvement reflects his commitment to advancing education in his field.
  4. Pedagogical Expertise: Dr. Ortiz-Arroyoā€™s training and experience in Problem-Based Learning (PBL) and pedagogy indicate his dedication to effective teaching methodologies, which enhances his impact on both research and education.
  5. Professional Memberships and Engagement: His membership in the IEEE Computational Intelligence Society and his extensive teaching experience demonstrate his active engagement in the professional and academic communities.

šŸŽ“ Education:

Dr. Daniel Ortiz-Arroyo earned his Ph.D. in Computer Engineering with a minor in Computer Science from Oregon State University, USA, where his dissertation focused on “The Dynamic Simultaneous Multithreaded Processor.” He also holds an M.Sc. in Computer Science from the same institution. Additionally, he completed a postdoc in Computer Science and Engineering at Aalborg University, Denmark. His educational background includes an M.Sc. in Computer Engineering from the National Institute of Astrophysics Optics and Electronics, Mexico, and a B.Sc. in Electronics Engineering from Iberoamericana University, Mexico.

šŸ« Academic Positions:

Currently, Dr. Ortiz-Arroyo is an Associate Professor at Aalborg University, Denmark. He has also served as an Assistant Professor at the same university, and as a Lecturer at Erhvervs Akademi Sydvest, Denmark. Previously, he was an Assistant Professor at the National Institute of Astrophysics, Optics, and Electronics (INAOE), Mexico, and a Research Associate at the Autonomous University of Puebla, Mexico.

šŸ¤– Professional Memberships:

He is a member of the IEEE Computational Intelligence Society.

šŸ”Current Research Areas:

Dr. Ortiz-Arroyo’s research interests include Artificial Intelligence, Deep Learning, Robotics, Big Data, Data Mining, and Fuzzy Logic.

šŸ–„ļøPrevious Research Areas:

His past research has covered Computer Architecture, Security, Social Network Analysis, Information Retrieval, Distributed and High-Performance Computing, and the History of Computing.

Publication Top Notes:

  • Title: Discovering Sets of Key Players in Social Networks
    • Citations: 129
    • Year: 2010
  • Title: Accurate Electricity Load Forecasting with Artificial Neural Networks
    • Citations: 60
    • Year: 2005
  • Title: An Information Theory Approach to Identify Sets of Key Players
    • Citations: 50
    • Year: 2008
  • Title: Yet Another Improvement Over the Muā€“Varadharajan E-Voting Protocol
    • Citations: 37
    • Year: 2007
  • Title: Flexible Query Answering Systems
    • Citations: 27
    • Year: 2000

 

Mr. Andrew Stewart | Resource Discovery Award | Best Researcher Award

Mr. Andrew Stewart | Resource Discovery Award | Best Researcher Award

Mr. Andrew Stewart, Museum of New Zealand Te Papa Tongarewa, New Zealand

Mr. Andrew Stewart, a distinguished alumnus of Victoria University of Wellington šŸŽ“, is a prominent figure at the Museum of New Zealand Te Papa Tongarewa. With a robust career spanning from Assistant Curator to his current role as Curator NE (Fishes), Andrew has made remarkable contributions to the museum’s Vertebrates collection, particularly in Fishes. His leadership has seen the expansion of collections, including a pioneering DNA tissue repository and a cutting-edge alcohol storage facility. Andrew’s taxonomic expertise shines through his extensive publications and contributions to “The Fishes of New Zealand,” solidifying his legacy in fish biology and taxonomy. His dedication has earned him prestigious awards, reflecting his profound impact on the field and his effective science communication efforts šŸŸ.

šŸŒ Professional Profile:

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Education and qualifications

Mr. Andrew Stewart is an alumnus of Victoria University of Wellington in Wellington, NZ, where he earned his Bachelor of Science degree šŸŽ“. His educational journey at this esteemed institution equipped him with the foundational knowledge and skills essential for his career path and ongoing professional development.

Employment Summary

  • 2023ā€“present: Curator NE (Fishes), Museum of New Zealand Te Papa Tongarewa
  • 2018ā€“2023: Assistant Curator: Vertebrates (Fishes), Museum of New Zealand Te Papa Tongarewa

Achievements

Andrew has significantly expanded the Fishes collection, developed a large DNA tissue collection, and led the construction of a state-of-the-art alcohol storage facility. He has been a pivotal figure in media interactions related to fish biology and taxonomy, authored substantial sections of “The Fishes of New Zealand,” and published numerous peer-reviewed papers. His taxonomic expertise is widely recognized, and several fish species bear his name in recognition of his contributions.

Awards and Recognition

Andrew has received accolades such as the best oral presentation at the International Biosafety 8th Annual ABSANZ Conference in 2018 and the Royal Zoological Society of N.S.W. Whitley Medal for his book on the Natural History of Australasian Animals. He was also honored with the New Zealand Association of Scientists’ Science Communicator Award in 1996.

Publication Top Notes:

1.Ā  Upsideā€down swimming: in situ observations of inverted orientation in Gigantactis, with a new depth record for the Ceratioidei
Year: 2024-03
2.Ā  Dichichthyidae, a New Family of Deepwater Sharks (Carcharhiniformes) from the Indoā€“West Pacific, with Description of a New Species
Year: 2024-03-28
3.Ā  The first record of Australian flatback mangrove goby Mugilogobius platynotus (GĆ¼nther 1861) (Gobiidae; Tridentigerinae) from New Zealand
Year: 2022-05-19
4.Ā  A new species of deep-water triplefin (Pisces: Tripterygiidae) in the genus Ruanoho from coastal New Zealand waters
Year: 2021-06-03
5.Ā  First record of male freshwater eels (Anguilla dieffenbachii) caught at sea
Year: 2019-04-03

 

 

 

Dr. Brijesh Kumar Chaurasia | Smart Technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia | Smart technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia , Pranveer Singh Institute of Technology, Kanpur, India

Dr. Brijesh Kumar Chaurasia is a distinguished academic and researcher specializing in network security, with a primary focus on Vehicular Ad hoc Networks, Trust Management in VANETs, Blockchain, cloud authentication, and IoV/IoT. He earned his Ph.D. in Privacy Preservation in Vehicular Ad-hoc Networks from IIIT-Allahabad in 2013 and his M. Tech in Computer Science and Engineering from DAVV-Indore in 2006. With over 22 years of teaching experience and 4+ years in research and development, Dr. Chaurasia currently serves as a Professor and Dean of Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. He has previously taught at ITM Group in Gwalior and IIIT Lucknow. He has been a principal investigator on several research grants, supervised numerous Ph.D. and postgraduate theses, and holds patents in IoT and smart systems. Dr. Chaurasia is actively involved in professional activities as a Senior Member of IEEE, Fellow of IETE, and member of IE and CSI. He has contributed to international journals and participated in various FDPs and workshops, showcasing his commitment to advancing knowledge and innovation in his field.

Professional Profile:

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šŸŽ“ Education:

Dr. Brijesh Kumar Chaurasia earned his Ph.D. in Computer Science and Engineering from IIIT-Allahabad, India, with his thesis focusing on Privacy Preservation in Vehicular Ad-hoc Networks. This prestigious degree was awarded on April 12, 2013, marking a significant milestone in his academic journey. Prior to his doctoral studies, Dr. Chaurasia completed his Master of Technology in Computer Science and Engineering from DAVV-Indore, India, in 2006. These educational accomplishments laid a strong foundation for his subsequent research and professional endeavors in the field of network security and technology.

šŸ’¼ Employment and Experience:

Dr. Chaurasia has a combined experience of over 27 years in Research & Development, Teaching, and Industry. Currently, he serves as a Professor in Computer Science and Engineering & Dean Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. Previously, he held teaching positions at ITM Group, Gwalior, MP, India, and Indian Institute of Information Technology, Lucknow.

šŸ” Research Grants:

He has been involved in various research projects as Principal Investigator and Expert Member, securing grants for projects related to Hindi News portal development, IoT implementation and security, web redesigning, and Automatic Number Plate Recognition.

Publication Top Notes:

  1. Trust based location finding mechanism in VANET using DST
    • K Sharma, BK Chaurasia
    • 2015 Fifth International Conference on Communication Systems and Network, 2015
    • Cited by 66
  2. Message broadcast in VANETs using group signature
    • BK Chaurasia, S Verma, SM Bhasker
    • 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008
    • Cited by 65
  3. Infrastructure based authentication in VANETs
    • BK Chaurasia, S Verma
    • International Journal of Multimedia and Ubiquitous Engineering, 2011
    • Cited by 54
  4. State of the art of data dissemination in VANETs
    • P Tomar, BK Chaurasia, GS Tomar
    • International Journal of Computer Theory and Engineering, 2010
    • Cited by 47
  5. Hiding sensitive association rules without altering the support of sensitive item(s)
    • D Jain, P Khatri, R Soni, BK Chaurasia
    • Advances in Computer Science and Information Technology. Networks and Communications, 2012
    • Cited by 43

 

 

 

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim, Advanced Machine Intelligence Research Lab – AMIR Lab, Bangladesh

Jamin Rahman Jim, an accomplished researcher hailing from Dhaka, Bangladesh, specializes in machine intelligence and deep learning applications. With a Bachelor of Science in Computer Science and Engineering from the American International University-Bangladesh, where he graduated with high honors and received prestigious academic scholarships, Jim has contributed significantly to the field through his work at leading research institutions like the Advanced Machine Intelligence Research Lab (AMIR Lab) and Deepchain Labs. His publications in esteemed journals such as IEEE Access and Natural Language Processing Journal showcase his expertise in areas ranging from trustworthy metaverse development to sentiment analysis and medical image segmentation. Notably, he received the Research Award 2023 from AMIR Lab and an Academic Research Grant from the Competitive Research Fund of The University of Aizu, Japan. With a keen focus on leveraging machine learning and deep learning for cybersecurity, medical imaging, and autonomous vehicle navigation, Jim’s contributions continue to shape the forefront of technological innovation.

Professional Profile:

Google Scholar

šŸ“š Education:

Jamin Rahman Jim pursued his Bachelor of Science in Computer Science and Engineering, specializing in Information Systems, at American International University-Bangladesh from January 2020 to June 2023. Throughout his academic journey, he demonstrated exceptional dedication and achieved a final grade of 3.96 out of 4.00. His thesis, titled “Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks,” showcased his expertise in the field. This comprehensive program equipped him with a solid foundation in computer science principles and practical skills necessary for his subsequent career in research and development.

šŸ“… Work Experience:

Jamin Rahman Jim has been actively engaged in the research field, contributing significantly to the advancement of machine intelligence. He began his journey as a Research Assistant at Deepchain Labs in Dhaka, Bangladesh, from December 2022 to April 2023, where he laid the groundwork for his research career. Building on this experience, he transitioned to the role of Research Assistant at the Advanced Machine Intelligence Research Lab (AMIR Lab) in Dhaka, Bangladesh, from May 2023 to January 2024. During this period, he honed his skills and expanded his knowledge in the domain of machine intelligence. Currently, he holds the position of Researcher at AMIR Lab, commencing in February 2024, where he continues to make significant contributions to cutting-edge research projects. His tenure at AMIR Lab reflects his dedication to pushing the boundaries of machine intelligence and furthering the understanding of this dynamic field.

šŸ… Honours and Awards:

Jamin Rahman Jim’s academic journey at the American International University-Bangladesh was marked by outstanding achievements and recognition. He received the prestigious Academic Merit Scholarship, a testament to his consistent excellence throughout his Bachelor’s degree program. Furthermore, his exemplary academic performance earned him a place on the Dean’s List Honors and the distinguished title of Summa Cum Laude, affirming his exceptional capabilities and dedication to academic excellence.

Publication Top Notes:

  1. Towards Trustworthy Metaverse: Advancements and Challenges
    • Authors: JR Jim, MT Hosain, MF Mridha, MM Kabir, J Shin
    • Published in: IEEE Access (2023)
    • Cited by: 7
  2. Recent Advancements and Challenges of NLP-based Sentiment Analysis: A State-of-the-Art Review
    • Authors: JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha
    • Published in: Natural Language Processing Journal (2024)
    • Cited by: 1
  3. Explainable AI Approaches in Deep Learning: Advancements, Applications and Challenges
    • Authors: MT Hosain, JR Jim, MF Mridha, MM Kabir
    • Published in: Computers and Electrical Engineering (2024)
  4. Deep Learning for Medical Image Segmentation: State-of-the-Art Advancements and Challenges
    • Authors: ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha
    • Published in: Informatics in Medicine Unlocked (2024)
  5. TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset
    • Authors: MM Kabir, MS Hafiz, S Bandyopadhyaa, JR Jim, MF Mridha
    • Published in: Data in Brief (2024)

 

 

 

 

Mr. Liu Weicheng | Technology | Best Researcher Award

Mr. Liu Weicheng | Technology | Best Researcher Award

Mr. Liu Weicheng, Shandong University of Science and Technology, China

Mr. Liu Weicheng is an accomplished Web Front-end Development Engineer, currently pursuing a Master’s Degree in Ship and Ocean Engineering at Shandong University of Science and Technology. With a Bachelor’s Degree in Automation from the same institution, he brings a wealth of experience in web development, having worked at both Shandong University of Science and Technology. In addition to his professional endeavors, Liu is dedicated to advancing research in areas such as multi-sensor information fusion and communication rate control. His academic excellence, reflected in his impressive GPAs and receipt of the National First-Class Scholarship, underscores his commitment to excellence in both academia and industry. šŸŒšŸš€

Professional Profile:

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šŸŽ“ Educational Background:

  • Master’s Degree: Ship and Ocean Engineering, Shandong University of Science and Technology (2022 – Present)
  • Bachelor’s Degree: Automation, School of Electrical and Automation Engineering, Shandong University of Science and Technology (2018 – 2022)

šŸ¢ Work Experience:

  • Web Front-end Development Engineer, Hangzhou XX Technology Co., Ltd. (2018.12 – Present)
    • Designed, developed, and maintained web and HTML5 products.
    • Developed mobile platform web front-end pages using HTML5 technologies.
    • Created reusable components based on HTML5.0 standards.
  • Web Front-end Development Engineer, Shanghai XX Technology Co., Ltd. (2016.08 – 2018.11)
    • Constructed front-end interfaces for apps and mini-programs.
    • Utilized React Native for front-end development, writing clean, efficient, and testable code.
    • Contributed to the design and technical discussions of core systems to enhance user experience and product usability.

šŸ“š Research Direction:

  • Multi-sensor information fusion
  • Communication rate control based on event-triggered mechanisms
  • Deception and Control of Cyber Deception Attacks
  • Consensus filtering methods for distributed sensor networks

šŸŽ“ Academic Achievements:

  • Master’s GPA: 3.8/4
  • Bachelor’s GPA: 4.6/5
  • Coursework includes Signals and Systems, Integrated Navigation, Modern Signal Processing, Data Structure, Matrix Analysis and Applications, Automatic Control Theory, Digital Signals, Analog Signal, Fundamentals of Sensors, Probability and Statistics, Differential Game.

šŸ… Honors and Awards:

  • Received National First-Class Scholarship for outstanding academic performance during the second year of undergraduate study (2013.09 – 2014.06).
  • Consistently ranked in the top 10 of the class based on academic performance.

Publication Top Notes:

  • Title: Event-triggered sequential fusion filter for nonlinear multi-sensor system with random packet dropout and composite correlated noise
  • Journal: Digital Signal Processing
  • Publication Date: July 2024

 

 

 

 

 

Dr. Konstantinos A. Tsintotas | Robotics and AI | Best Researcher Award

Dr. Konstantinos A. Tsintotas | Robotics and AI | Best Researcher Award

Dr. Konstantinos A. Tsintotas, Democritus University of Thrace, Greece

Dr. Konstantinos A. Tsintotas is a highly educated individual with a Ph.D. in Robotics from Democritus University of Thrace, Greece, complemented by a diverse academic background including a Certificate of Pedagogical and Teaching Competence. His expertise extends across academia and industry, having served as an Adjunct Assistant Professor at the International Hellenic University and holding positions as a Researcher at both Democritus University and Aristotle University of Thessaloniki. With a strong foundation in mechatronics and automation engineering, Dr. Tsintotas is proficient in computer vision, electronics, and various programming languages such as Matlab and Python. His practical experience as an Automation Engineer further enhances his skill set, making him adept at problem-solving and fostering collaborative environments.

Professional Profile:

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Orcid

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šŸŽ“ Education:

Dr. Konstantinos A. Tsintotas holds a Ph.D. in Robotics from Democritus University of Thrace, Greece. He also earned a Certificate of Pedagogical and Teaching Competence from the School of Pedagogical and Technological Education in Kozani, Greece, a Master of Science in Mechatronics from the Technological Education Institute of Western Macedonia, and a Bachelor of Science in Automation Engineering from the Technological Education Institute of Chalkida. Additionally, he holds a Certificate of Competency in English from The University of Michigan, Ann Arbor.

šŸ‘Øā€šŸ« Academia:

Dr. Tsintotas has served as an Adjunct Assistant Professor at the International Hellenic University in Serres and as an Adjunct Lecturer at the International Hellenic University in Katerini.

šŸ“šĀ Research Focus:

Dr. Tsintotas is a leading researcher in the dynamic field of mobile robotics šŸ¤– With a focus on autonomous systems, his work pushes the boundaries of innovation in visual-based navigation and place recognition šŸŒ His contributions pave the way for safer and more efficient autonomous vehicles and robotic systems, shaping the future of technology and exploration šŸš€

šŸ”¬ Research Experience:

Currently, he is engaged as a Postdoctoral Researcher at Democritus University of Thrace. Previously, he held positions as a Researcher and Teaching Assistant at the same university and as a Researcher at Aristotle University of Thessaloniki. Dr. Tsintotas also has practical experience as an Automation Engineer at Zalikas ā€“ Liontas construction company and as an Automation Engineer Intern at COOPER Industries – Menvier Univel Ltd.

šŸ’» Skills:

Dr. Tsintotas is proficient in computer vision, electronics, and data analysis & visualization. He is skilled in programming languages such as Matlab, Python, HTML, and Ladder. His soft skills include analytical & critical thinking, creativity, productivity, and being a team player.

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 36 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 430 citations for his publications, reflecting the widespread impact and recognition of Dr. Tsintotasā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 586 šŸ“–
    • h-index: 15Ā  šŸ“Š
    • i10-index: 19 šŸ”
  • Since 2018:
    • Citations: 584 šŸ“–
    • h-index: 15 šŸ“Š
    • i10-index: 19 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publication Top Notes:

 

 

 

 

Dr. kiomars sabzevari | Technology and Communication Award | Best Researcher Award

Dr. kiomars sabzevari | Technology and Communication Award | Best Researcher Award

Dr. kiomars sabzevari, Technical and Vocational University, Iran

Dr. Kiomars Sabzevari, Ph.D., is an Assistant Professor of Electrical Power Engineering at the Technical and Vocational University (TVU) in Tehran, Iran. He earned his doctoral degree in Electrical Engineering from Azad University, Kermanshah, Iran, focusing on modeling, operational analysis, and intelligent control strategies for inverter-based distributed generations in microgrid networks. Kiomars specializes in microgrids, stochastic power systems planning and optimization, renewable generation, and stability analysis. He is actively engaged in research and teaching at TVU, leveraging his expertise in optimization, algorithms, and programming using tools like MATLAB, GAMS, and LaTeX to drive advancements in electrical power systems. šŸŒŸ

Professional Profile:

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šŸŽ“ Education:

Kiomars Sabzevari holds a Ph.D. in Electrical Engineering from Azad University, Kermanshah, Iran. His doctoral thesis focused on modeling, operational analysis, and intelligent control strategies for inverter-based distributed generations in microgrid networks, with a specialization in power generation using Pareto optimization.

šŸ” Research Interests:

As an Assistant Professor in Electrical Power Engineering at the Technical and Vocational University (TVU) in Tehran, Iran, Kiomars specializes in microgrids, stochastic power systems planning and optimization, optimization methods and algorithms, uncertainty modeling, renewable generation, and stability analysis.

šŸ’¼ Professional Affiliation:

Kiomars is affiliated with the Department of Electrical Engineering at TVU, where he actively contributes to research and teaching endeavors in the field of electrical power systems.

šŸ–„ļø Skills & Programming:

With proficiency in optimization, algorithms, programming, and teaching, Kiomars is adept at utilizing tools such as MATLAB, GAMS, LaTeX, and various educational software to advance his research and educational initiatives.

Publications Top Notes :

  1. Modified droop control for improving adaptive virtual impedance strategy for parallel distributed generation units in islanded microgrids
    • Published in International Transactions on Electrical Energy Systems in 2019.
    • Cited by 24 articles.
  2. A novel partial transient active-reactive power coupling method for reactive power sharing
    • Published in International Journal of Electrical Power & Energy Systems in 2019.
    • Cited by 8 articles.
  3. The modeling of UPFC based on circuit elements in an exact transmission line model
    • Published in International Journal of Engineering in 2010.
    • Cited by 8 articles.
  4. Active power filter module function to improve power quality conditions using GWO and PSO techniques for solar photovoltaic arrays and battery energy storage systems
    • Published in Journal of Energy Storage in 2023.
    • Cited by 7 articles.
  5. Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults
    • Published in Scientific Reports in 2023.
    • Cited by 2 articles.

 

 

 

 

 

Prof Dr. Mahrokh G. Shayesteh | D2D Communication | Best Researcher Award

Prof Dr. Mahrokh G. Shayesteh | D2D Communication | Best Researcher Award

Prof Dr. Mahrokh G. Shayesteh, Urmia University, Iran

Dr. Mahrokh G. Shayesteh is a prominent figure in the field of Electrical Engineering, serving as a Professor at Urmia University in Iran and a member of the Wireless Communications Group at Sharif University of Technology. As a distinguished academic, she has received numerous awards, including the Women in Engineering (WIE) award from IEEE Iran section in 2022 and recognition as a Distinguished Researcher by the Ministry of Information and Communication Technology in 2015. Her research and educational contributions are extensive, including over 71 journal papers, 55 conference papers, and supervision of 40 Ph.D. and M.S. theses. She is also an editorial member of the International Journal of Ultra Wideband Communications (IJUWBCS) and an Associate Editor of Scientia Journal. With her dedication to education and research, Dr. Shayesteh continues to make significant contributions to the field of Electrical Engineering. šŸ†šŸ‘©ā€šŸ”¬šŸ“š

šŸŒĀ Professional Profiles :

Scopus

Google Scholar

šŸ“š Education:

  • Ph.D. in Electrical Engineering, Amir Kabir University of Technology
  • M.S. in Electrical Engineering, Khajeh Nasir University of Technology
  • B.S. in Electrical Engineering, University of Tehran

šŸŽ“ Academic Affiliations:

  • Department of Electrical Engineering, Urmia University, Iran šŸ‡®šŸ‡·
  • Member, Center of Excellence, Wireless Communications Group, Advanced Communication Research Institute (ACRI), Sharif University of Technology, Tehran, Iran šŸ“”

šŸ† Awards:

  • Supervisor of Best Ph.D. Thesis, ICEE 2023 šŸŽ“
  • Women in Engineering (WIE) Award, IEEE Iran Section, 2022 šŸ…
  • Distinguished Researcher, West Azarbaijan Province, 2021 šŸŒŸ
  • Distinguished Woman in Engineering, Women in Science Award, Ministry of Science and Higher Education, 2017 šŸŒŸ
  • Distinguished Researcher, Ministry of Information and Communication Technology, 2015 šŸŒŸ

šŸ”¬ Research and Education:

  • 71 Journal Papers šŸ“
  • 55 Conference Papers šŸ“„
  • 6 Patents Registered in Iran šŸ› ļø
  • Supervisor of 40 Ph.D. and M.S. Theses šŸŽ“
  • Supervisor of 12 Research Projects
  • Established Logic Circuits Lab and DSP Lab at Urmia University

šŸ“° Editorial Roles:

  • Editorial Member, International Journal of Ultra Wideband Communications (IJUWBCS)
  • Associate Editor, Scientia Journal
  • IEEE Senior Member šŸŽ“

šŸ“” Professional Involvement:

  • Member, Communication Chapter of IEEE Iran Section
  • Member, Ethics in Medicine Committee, Urmia University

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 112 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 1,299 citations for his publications, reflecting the widespread impact and recognition of Dr. Mahrokhā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1865 šŸ“–
    • h-index: 23 šŸ“Š
    • i10-index: 57 šŸ”
  • Since 2018:
    • Citations: 857 šŸ“–
    • h-index: 16 šŸ“Š
    • i10-index: 31 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications Top Notes :

  1. Robust Algorithm for Brain Magnetic Resonance Image (MRI) Classification Based on GARCH Variances Series
    • Published Year: 2013
    • Journal: Biomedical Signal Processing and Control
    • Cited By: 126
  2. On the Error Probability of Linearly Modulated Signals on Frequency-Flat Ricean, Rayleigh, and AWGN Channels
    • Published Year: 1995
    • Journal: IEEE Transactions on Communications
    • Cited By: 121
  3. Robust Timing and Frequency Synchronization for OFDM Systems
    • Published Year: 2011
    • Journal: IEEE Transactions on Vehicular Technology
    • Cited By: 115
  4. Efficient Contrast Enhancement of Images Using Hybrid Ant Colony Optimisation, Genetic Algorithm, and Simulated Annealing
    • Published Year: 2013
    • Journal: Digital Signal Processing
    • Cited By: 103
  5. Stockwell Transform for Epileptic Seizure Detection from EEG Signals
    • Published Year: 2017
    • Journal: Biomedical Signal Processing and Control
    • Cited By: 56