Petros Barmpas | Statistical Analysis | Best Researcher Award

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Mr. Petros Barmpas | Statistical Analysis | Best Researcher AwardĀ 

Mr at University of The, Greece

Petros Barmpas is a dedicated researcher with a strong background in computer science and biomedical informatics. He has been advancing his academic journey at the University of Thessaly since 2020, following his graduation from the University of Patras with a degree in Computer Engineering and Informatics in 2019. His career is marked by an impressive series of publications and contributions to significant projects in the fields of machine learning, clustering methodologies, and the study of healthcare informatics. Petros is married and a proud father, balancing his professional and personal life with dedication and resilience. His contributions in AI and data analysis have cemented his reputation in both academic and practical applications of computational science.

Profile

Scopus

Education šŸŽ“

Petros Barmpas embarked on his academic career by completing high school in Kozani from 2010 to 2013. He then pursued his Bachelorā€™s degree in Computer Engineering and Informatics at the University of Patras, graduating in 2019. Currently, Petros is enrolled at the University of Thessaly, where he has been deepening his expertise in Computer Science and Biomedical Informatics since 2020. His educational path has equipped him with extensive knowledge and skills in computational algorithms, data analysis, and advanced informatics, supporting his impactful research and publications.

Experience šŸ§‘ā€šŸ«

Since the onset of his academic pursuits, Petros Barmpas has engaged in various research initiatives, focusing on the practical application of AI and machine learning. His participation in the ATHLOS project exemplifies his commitment to large-scale data analysis and unsupervised learning. Throughout his time at the University of Thessaly and during collaborations with peers, he has demonstrated exceptional expertise in hierarchical clustering, ensemble regressors, and hyperdimensional computing approaches. Petrosā€™ professional journey showcases a consistent dedication to solving complex computational problems and advancing methodologies in biomedical informatics.

Awards and Honors šŸ†

Petros Barmpas has earned recognition through numerous high-impact publications in prestigious conferences and journals. His co-authored works in IEEE Congresses and journals like the Springer Journal Health Information Science and Systems underscore his influential presence in the research community. The breadth of his collaborative work reflects the trust and respect he commands among fellow researchers, showcasing his commitment to advancing scientific understanding in AI applications and public health data analysis.

Research Focus šŸ”

Petros Barmpasā€™ research primarily explores innovative approaches to machine learning and data clustering. His interests lie in hyperdimensional computing, hierarchical clustering ensemble methods, and the development of predictive models for healthcare studies. He has applied these techniques to diverse areas, including opioid management during the pandemic and socio-demographic analysis in large-scale studies. Through collaborations and independent work, Petros has contributed to refining algorithms that enhance prediction power and adaptability, positioning his work at the intersection of AI and public health informatics.

ConclusionšŸ“

Petros Barmpas is a distinguished researcher with significant accomplishments in computer science and biomedical informatics. His extensive publication record, innovative contributions to data clustering and health informatics, and strong collaborative efforts underscore his suitability for the Best Researcher Award. Addressing areas such as publishing in higher-impact journals and increasing international engagement could further augment his candidacy. Overall, his academic achievements, commitment to interdisciplinary research, and consistent output make him a deserving nominee for recognition.

Publications šŸ“š

  1. Conference Paper: Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification
    Year: 2024
    Authors: Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: 2024 IEEE Congress on Evolutionary Computation, CEC 2024 – Proceedings

 

  1. Conference Paper: HCER: Hierarchical Clustering-Ensemble Regressor
    Year: 2024
    Authors: Barmpas, P., Anagnostou, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Communications in Computer and Information Science, 2141 CCIS, pp. 369ā€“378

 

  1. Article (Open access): The Development and Validation of the Pandemic Medication-Assisted Treatment Questionnaire for the Assessment of Pandemic Crises Impact on Medication Management and Administration for Patients with Opioid Use Disorders
    Year: 2023
    Authors: Leventelis, C., Katsouli, A., Stavropoulos, V., Veskoukis, A.S., Tsironi, M.
    Source: NAD Nordic Studies on Alcohol and Drugs, 40(1), pp. 76ā€“94

 

  1. Conference Paper: Neural Networks Voting for Projection Based Ensemble Classifiers
    Year: 2023
    Authors: Anagnostou, P., Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Proceedings of the 2023 IEEE International Conference on Big Data, BigData 2023, pp. 4567ā€“4574

 

  1. Article (Open access): A Divisive Hierarchical Clustering Methodology for Enhancing the Ensemble Prediction Power in Large Scale Population Studies: The ATHLOS Project
    Year: 2022
    Authors: Barmpas, P., Tasoulis, S., Vrahatis, A.G., Plagianakos, V.P., Panagiotakos, D.
    Source: Health Information Science and Systems, 10(1), 6

Hyung-Pil Chang | Deep Learning | Best Researcher Award

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Mr. Hyung-Pil Chang | Deep Learning | Best Researcher Award

Mr at Korea University,Ā  South Korea

Hyung-pil Chang is a dedicated graduate student at Korea University, pursuing a Ph.D. in Computer Science and Engineering. With a keen interest in deep learning and speech processing, he focuses on enhancing communication between humans and machines. He has contributed to several innovative projects in voice conversion and speech recognition, demonstrating a commitment to advancing technology in these fields. In addition to his academic pursuits, Chang actively engages in various sports and cultural activities, reflecting a well-rounded personality. His passion for research is complemented by his desire to develop practical solutions for real-world problems in artificial intelligence.

Profile

Scopus

Orcid

Scholar

Education šŸŽ“

Hyung-pil Chang began his academic journey at Hansung University, where he earned a Bachelor of Science in Information System and Engineering from March 2014 to February 2020. He continued his studies at Korea University, obtaining a Master of Science in Computer Science and Engineering from 2020 to 2022. Currently, he is pursuing his Doctor of Philosophy in the same field at Korea University, enhancing his knowledge and expertise in deep learning, speech recognition, and human-computer interaction.

Experience šŸ’¼

Chang has gained valuable experience as a research assistant at Korea University’s Artificial Intelligence Laboratory since March 2020, working under the guidance of Prof. Dongsuk Yook. He has also served as a teaching assistant for undergraduate courses in Artificial Intelligence and Machine Learning, honing his teaching skills and sharing his knowledge with students. Additionally, he briefly worked in the Voice Generation Team at KT on a multi-modal project, where he contributed to advancements in voice conversion technologies, further solidifying his practical experience in the field.

Awards and Honors šŸ†

Hyung-pil Chang has received recognition for his academic and research achievements, including publications in reputable journals such as MDPI Applied Sciences and IEEE Access. His contributions to voice conversion and speaker anonymization research have garnered attention in the field of speech processing. While specific awards are not listed, his active participation in conferences and collaboration on innovative projects highlight his commitment to excellence in research and development, positioning him as an emerging talent in artificial intelligence and deep learning.

Research Focus šŸ”¬

Changā€™s research centers on enhancing communication between people and machines, particularly in speech processing. He aims to improve speech recognition models using self-training techniques on large amounts of unlabeled data. His work also explores explainable AI and the development of a general-purpose domain agent capable of interacting with humans across various tasks, including vision and natural language processing. Key areas of focus include speech recognition, synthesis, voice conversion, and human-computer interaction, contributing to advancements in multi-modal language models.

šŸ“ Conclusion

Hyung-pil Chang demonstrates strong potential as a leading researcher in deep learning and speech processing. His academic background, research contributions, and innovative spirit position him well for the Best Researcher Award. By focusing on collaboration, expanding his publication record, and engaging more with the broader community, he can enhance his impact even further. Given his current trajectory, he is well on his way to making significant contributions to his field and is a worthy candidate for recognition.

Publications Top Notes

  • Wav2wav: Wave-to-Wave Voice Conversion
    C Jeong, H Chang, IC Yoo, D Yook
    Applied Sciences, 2024, 14(10), 4251.

 

  • Zero-Shot Unseen Speaker Anonymization via Voice Conversion
    HP Chang, IC Yoo, C Jeong, D Yook
    IEEE Access, 2022, 10, 130190-130199.

 

  • CycleDiffusion: Voice Conversion Using Cycle-Consistent Diffusion Models
    D Yook, G Han, HP Chang, IC Yoo
    Applied Sciences, 2024, 14(20), 9595.

 

 

 

Samira Al-Nasser | Medical/AI Engineering | Young Scientist Award

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Dr. Samira Al-Nasser | Medical/AI Engineering | Young Scientist Award

Researcher at Bournemouth University,Ā  United Kingdom

Dr. Samira Al-Nasser is an accomplished engineering professional and educator with a strong background in biomedical engineering and a focus on integrating machine learning for healthcare applications. Currently, as an Engineering Manager at Testlink, she leads a team specializing in ATM repair and design, while her research focuses on advanced sensor technology for joint load balancing during knee replacements. Dr. Al-Nasser has extensive experience in academia, holding positions as a Lecturer and Demonstrator at Bournemouth University. She is also actively involved in the Women in STEM Society and holds leadership roles promoting diversity in STEM.

Profile

Orcid

Scholar

Education šŸŽ“

Dr. Al-Nasser earned a Ph.D. from Bournemouth University, focusing on the design and validation of load sensors for joint replacements, applying skills across mechanical and electrical engineering, machine learning, and material sciences. She previously graduated with first-class honors (84.2%) in Biomedical Engineering from German Jordanian University, specializing in biomedical instrumentation and signal processing. Her academic journey reflects a dedication to merging engineering principles with medical technology to improve patient outcomes, a commitment she continues through publications and research initiatives.

Experience šŸ’¼

Dr. Al-Nasserā€™s career spans various roles, including her current position as Engineering Manager at Testlink, where she manages teams in ATM repair. Previously, she was a Lecturer and Demonstrator at Bournemouth University, focusing on design simulation and lab instruction. Her early career includes research assistant roles and biomedical internships at Abdali Medical Center and The Specialty Hospital in Jordan, where she supported medical equipment maintenance and installations. These roles underscore her diverse expertise in engineering management, education, and applied medical research.

Awards and Honors šŸ†

Dr. Al-Nasser has been recognized for her contributions to engineering and diversity, receiving the AdvanceHE Associate Fellowship for Teaching, which highlights her academic impact. She serves as a PGR Representative for the Athena SWAN Charter on Diversity and Inclusion and is an active member of the Women in STEM Society at Bournemouth University. Her accolades include awards for outstanding academic presentations at conferences, showcasing her dedication to advancing biomedical engineering and diversity in the engineering field.

Research Focus šŸ”

Dr. Al-Nasserā€™s research centers on AI applications in orthopedic engineering, particularly in designing intelligent sensors for intraoperative load balancing during knee replacements. She investigates piezoelectric sensor technologies and machine learning-based load prediction models to enhance joint stability and improve surgical outcomes. Her work combines biomechanics, AI-driven signal processing, and biomedical device innovation, aiming to elevate precision in joint replacement surgeries and contribute to the broader field of smart healthcare technology.

Conclusion šŸ†

Dr. Samira Al-Nasser is a strong contender for the Young Scientist Award. Her unique blend of research achievements, interdisciplinary expertise, and dedication to diversity and teaching makes her a rising star in biomedical engineering. With further growth in her collaborative network and research funding, Dr. Al-Nasser has the potential to make significant contributions to medical device innovation and healthcare technology. She exemplifies the qualities of a young scientist capable of driving impactful advancements in both academic and applied research domains.

Publications Top Notes

  1. Gait analysis of a kinematic retaining implant for Total knee replacements during walking and running
    • Journal: Journal of Orthopaedics
    • Date: 2024-10
    • DOI: 10.1016/j.jor.2024.02.025
    • Contributors: Adrian Harvey, Suraj Kohli, Samira Al-Nasser, Siamak Noroozi

 

  1. WITHDRAWN: Cadaveric Testing of a Novel Intraoperative Load Sensor for Soft-tissue balancing during Total Knee Replacements
    • Journal: Journal of Orthopaedic Reports
    • Date: 2024-07
    • DOI: 10.1016/j.jorep.2024.100448
    • Contributors: Samira Al-Nasser, Saimak Noroozi, Adrian Harvey, Roya Haratian

 

  1. Design of a Novel Intraoperative Sensor for Load Balancing and Tracking during Total Knee Replacements

 

  1. Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements
    • Journal: Sensors
    • Date: 2024-01-17
    • DOI: 10.3390/s24020585
    • Contributors: Samira Al-Nasser, Siamak Noroozi, Adrian Harvey, Navid Aslani, Roya Haratian

 

 

Rouholla Bagheri| Deep Learning | Best Researcher Award

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Assoc Prof Dr. Rouholla Bagheri | Thermodynamics | Best Researcher Award

Assoc Prof Dr. Ferdowsi University of Mashhad Iran

Dr. Rouholla Bagheri is an Assistant Professor in the Department of Management at Ferdowsi University of Mashhad, Iran. He holds a Ph.D. in Systems Management from Shahid Beheshti University, focusing on knowledge networks in the automotive sector. With a distinguished academic record, Dr. Bagheri has received numerous awards, including the 26th National Outstanding Student Award. His research interests span IoT healthcare systems, supply chain networks, and multi-objective optimization. An active member of various professional associations, he has published extensively in peer-reviewed journals, contributing significantly to the fields of information systems and management.

 

Publication profile

 

šŸŽ“ Educational Background

Ph.D. in Systems Management (2013-2018) Shahid Beheshti University, Iran Dissertation: Design a Model of Developing Knowledge Networks in the Car Engine Research Center, GPA: A+. MBA (2012) Amirkabir University, Iran, GPA: A. B.Eng. in Computer Software Engineering (2005)
Bahonar University, Iran, GPA: B

šŸ“š Current Professional Memberships

Member, International Scientific Committee and Editorial Review Board, World Academy of Science, Engineering, and Technology. Member, Council of Knowledge Management in Iran. Member, AIS (Association for Information Systems) of Iran. Member, AKS (Association for Knowledge Management) of Iran. Head, Business Intelligence Department, Association of Management of Iran

šŸ† Honors and Awards

Distinguished Assistant Professor, Ferdowsi University (2022). National Outstanding Student Award Winner (2012, 2017). National Science Foundation Award (2013). Book of the Year Award in Information Systems and Management (2010)

Publication

    1. Assessing dimensions influencing IoT implementation readiness in industries: A fuzzy DEMATEL and fuzzy AHP analysis
      Authors: MZ Nezhad, J Nazarian-Jashnabadi, J Rezazadeh, M Mehraeen, …
      Year: 2023

     

    1. BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
      Authors: JH Joloudari, S Hussain, MA Nematollahi, R Bagheri, F Fazl, …
      Year: 2023

     

    1. The mediator role of KM process for creative organizational learning case study: knowledge based companies
      Authors: R Bagheri, MR Hamidizadeh, P Sabbagh
      Year: 2015

     

    1. Examining the impact of product innovation and pricing capability on the international performance of exporting companies with the mediating role of competitive advantage
      Authors: J Rezazadeh, R Bagheri, S Karimi, J Nazarian-Jashnabadi, MZ Nezhad
      Year: 2023

     

    1. The relationship of knowledge management and organizational performance in Science and Technology Parks of Iran
      Authors: MA Haghighi, R Bagheri, PS Kalat
      Year: 2015

     

    1. The Evaluation of Knowledge Management Maturity Level in a Research Organization
      Authors: R Bagheri, P Eslami, S Mirfakhraee, M Yarjanli
      Year: 2013

     

    1. Factors affecting the implementation of the blue ocean strategy: A case study of Medicom production manufacturing company
      Authors: R Bagheri, SP Eslami, M Yarjanli, N Ghafoorifard
      Year: 2013

     

    1. Modelling the factors affecting the implementation of knowledge networks
      Authors: A Rezaeian, R Bagheri
      Year: 2017

     

    1. Revolutionizing supply chain sustainability: An additive manufacturing-enabled optimization model for minimizing waste and costs
      Authors: P Roozkhosh, A Pooya, O Soleimani Fard, R Bagheri
      Year: 2024

     

    1. Robust cooperative maximal covering location problem: A case study of the locating Tele-Taxi stations in Tabriz, Iran
      Authors: H Rezazadeh, S Moghtased-Azar, MS Kisomi, R Bagheri
      Year: 2018

     

    1. Examining the Relationship between organizational Climate and Entrepreneurship with regard to Staffā€™s Locus of Control in Industry Companies in Iran
      Authors: R Bagheri, M Yarjanli, R Mowlanapour, N Mahdinasab
      Year: 2016

     

    1. Investigating the Effect of Perceived Ethical Leadership on Knowledge Hiding: A Case Study on an Automobile Factory
      Authors: F Imani, G Eslami, R Bagheri
      Year: 2022

    Conclusion šŸŽ“

    Rouholla Bagheri exemplifies the qualities of a strong candidate for the Best Researcher Award, with a robust educational background, a significant publication portfolio, and numerous accolades. By focusing on applied research, enhancing collaborative efforts, and increasing public engagement, he can further amplify his impact in the field of information systems and management. His dedication to advancing knowledge and fostering innovation positions him as a valuable asset to academia and beyond.

Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

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Ms. Akarshani Amarasinghe | Artificial Intelligence | Young Scientist Award

Lecturer atĀ  University of Sri Jayewardenepura, Sri LankaĀ 

M.C. Akarshani Amarasinghe is an accomplished academic and researcher pursuing a PhD in Computer Engineering at the University of Sri Jayewardenepura, Sri Lanka. With a strong background in machine learning, image processing, and drone technology, her work focuses on innovative solutions for public health and agriculture. She has contributed to impactful research projects, such as identifying dengue mosquito breeding sites via drones and optimizing pesticide usage in arable lands. Alongside her research, Akarshani has extensive teaching experience, is a mentor for Google Summer of Code, and holds several prestigious awards for her research excellence.

Publication profile

scholar

šŸŽ“ Higher Education

01.2024 – Present PhD in Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka Supervisors: Dr. Udaya Wijenayake, Prof. K.L. Jayaratne Research: Path planning algorithm for achieving multiple goals.. 2011 – 2016. BSc (Hons) in Computer Science, University of Colombo School of Computing, Sri Lanka Second Class Upper Division (3.25/4 – Four-Year Program)

šŸ”¬ Recent Research

D4D (Drone for Dengue) Sustainable Computing Research Group, University of Colombo School of Computing. Research on machine learning and image processing for identifying dengue mosquito breeding sites via drone images. Advisors: Prof. T.N.K. De Zoysa, Dr. C.I. Keppitiyagama. 2017 – Present GitHub Project

šŸ§‘ā€šŸ« Teaching Experience

03.02.2020 – Present Lecturer, Department of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka Subjects: Operating Systems, Data Mining, Natural Language Processing, Quality Engineering, Compilers.01.01.2019 – 31.01.2020 Assistant Lecturer, Department of Computer Science and Software Engineering, Sri Lanka Institute of Information Technology Subjects: Software Engineering Concepts, Programming, Distributed Systems. 01.02.2018 – 30.12.2018 Assistant Lecturer, University of Colombo School of Computing Subjects: Programming Using C, Data Structures, Operating Systems. 2018 Visiting Lecturer, National Institute of Business Management, Sri Lanka Subject: Image Processing. 02.01.2018 – 01.02.2018 Instructor, University of Colombo School of Computing

šŸ… Awards and Achievements

2023 Student Research Project of the Year at the National ICT Awards, NBQSA 2023. 2022 Best Paper in AI and ML Track, ICARC 2022. 2019 N2Women Travel Grant to attend ACM SenSys 2019. 2017 N2Women Travel Grant to attend MobiSys Women’s Workshop

šŸ¢ Professional Service

2023 – Present Treasurer, Past Pupilsā€™ Association, Sadhu Daham Pasala, Sri Lanka. 2015 – Present Committee Member, Thumbowila Api Welfare Society. 2012 – 2016 Committee Member, AIESEC Colombo – South

Publication

  1. Identifying mosquito breeding sites via drone images
    Authors: C Suduwella, A Amarasinghe, L Niroshan, C Elvitigala, K De Zoysa, …
    Conference: Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems
    Year: 2017
    Citations: 29

 

  1. A machine learning approach for identifying mosquito breeding sites via drone images
    Authors: A Amarasinghe, C Suduwella, C Elvitigala, L Niroshan, RJ Amaraweera, …
    Conference: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems
    Year: 2017
    Citations: 15

 

  1. Suppressing dengue via a drone system
    Authors: A Amarasinghe, C Suduwella, L Niroshan, C Elvitigala, K De Zoysa, …
    Conference: 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions
    Year: 2017
    Citations: 15

 

  1. A swarm of crop spraying drones solution for optimizing safe pesticide usage in arable lands
    Authors: A Amarasinghe, VB Wijesuriya, D Ganepola, L Jayaratne
    Conference: Proceedings of the 17th Conference on Embedded Networked Sensor Systems
    Year: 2019
    Citations: 10

 

  1. A path planning algorithm for an autonomous drone against the overuse of pesticides
    Authors: A Amarasinghe, VB Wijesuriya, L Jayaratne
    Conference: 2021 10th International Conference on Information and Automation for Sustainability
    Year: 2021
    Citations: 5

 

  1. Drones vs dengue: a drone-based mosquito control system for preventing dengue
    Authors: A Amarasinghe, VB Wijesuriya
    Conference: 2020 RIVF International Conference on Computing and Communication Technologies
    Year: 2020
    Citations: 4

 

  1. Stimme: a chat application for communicating with hearing impaired persons
    Authors: A Amarasinghe, VB Wijesuriya
    Conference: 2019 14th Conference on Industrial and Information Systems (ICIIS)
    Year: 2019
    Citations: 4

āœ… Conclusion

M.C. Akarshani Amarasinghe is an excellent candidate for the Research for Young Scientist Award. Her innovative contributions to drone technology for health and agriculture, leadership roles, and technical skills make her stand out. With continued expansion of her research portfolio and international exposure, she has the potential to achieve even greater recognition in the future.

seyed matin malakouti | AI | Best Researcher Award

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seyed matin malakouti | AI | Best Researcher Award

Seyed Matin Malakouti is an accomplished Electrical Engineering professional specializing in machine learning and control systems. He holds an MS in Control System Engineering from the University of Tabriz and a BS in Electrical Engineering from Isfahan University of Technology. Malakouti has published extensively on topics including wind power prediction, temperature change modeling, and heart disease classification. His work has appeared in prominent journals such as Energy Exploration & Exploitation and Case Studies in Chemical and Environmental Engineering. He has received recognition for his research, including awards for Best Researcher and nominations for Best Paper. Malakoutiā€™s research interests span applied machine learning, renewable energy, and biomedical signal processing. He is also an active peer reviewer for various scientific journals.

Publication profile

google scholar

šŸŽ“ Education

MS in Electrical Engineering ā€“ Control System Engineering University of Tabriz, Tabriz, Iran (2019 – 2022). BS in Electrical Engineering
Isfahan University of Technology (IUT), Isfahan, Iran (2014 – 2019)

šŸ¢ Professional Experience

Undergraduate Teaching Assistant Dept. of Electrical Engineering, Isfahan University of Technology (IUT) (2015 – 2018) Assisted in teaching core courses such as Calculus I, II, Electrical Circuit I, II, and Electronics II.

šŸ† Awards & Fellowships

Best Researcher, International Conference on Cardiology and Cardiovascular Medicine (2023). Nominated for Best Paper Award, International Research Awards on Mathematics and Optimization Methods (2023)

šŸ‘Øā€šŸ« Teaching Experience

Spring 2018: Calculus I, Teaching Assistant. Spring 2017: Calculus II, Teaching Assistant. Fall 2016: Electrical Circuit I, Teaching Assistant. Spring 2015: Electrical Circuit II, Teaching Assistant

Research for Best Researcher Award: Seyed Matin Malakouti

šŸŒŸ Strengths for the Award

  1. Diverse Research Contributions: Seyed Matin Malakouti has an extensive list of publications covering a broad range of topics, from wind power generation and temperature change prediction to heart disease classification and asteroid detection. This indicates a high level of versatility and a strong ability to apply machine learning across different domains.
  2. Cutting-Edge Techniques: His work utilizes advanced machine learning techniques such as CNN-LSTM, ensemble methods, and Bayesian optimization. This demonstrates a commitment to leveraging state-of-the-art methods to address complex problems.
  3. High-Impact Publications: Malakouti has published in high-impact journals such as Energy Exploration & Exploitation, Biomedical Signal Processing and Control, and Case Studies in Chemical and Environmental Engineering. His work is also recognized by prestigious conferences and has received nominations for awards.
  4. Peer Review Engagement: Active involvement in peer review for numerous reputable journals reflects his expertise and recognition within the academic community.
  5. Awards and Recognition: Being named the Best Researcher at an international conference and receiving nominations for best paper awards highlights his research’s quality and impact.

šŸ” Areas for Improvement

  1. Broader Impact Assessment: While his technical contributions are substantial, including a focus on how his research impacts broader societal and industrial contexts could further enhance his profile. Emphasizing real-world applications and collaborations could demonstrate the practical significance of his work.
  2. Interdisciplinary Collaboration: Engaging in interdisciplinary projects could further enrich his research profile. Collaborating with researchers from other fields, such as environmental science or healthcare, could lead to innovative solutions and increase the impact of his work.
  3. Public Engagement and Outreach: Increasing efforts in public science communication and outreach could help bridge the gap between academic research and public understanding. Engaging with non-academic audiences through popular science articles, talks, or educational programs could be beneficial.

Publication top notes

  1. Title: Predicting wind power generation using machine learning and CNN-LSTM approaches
    Citations: 46
    Year: 2022
    Journal: Wind Engineering 46(6), 1853-1869

 

  1. Title: Heart disease classification based on ECG using machine learning models
    Citations: 39
    Year: 2023
    Journal: Biomedical Signal Processing and Control 84, 104796

 

  1. Title: Utilizing time series data from 1961 to 2019 recorded around the world and machine learning to create a Global Temperature Change Prediction Model
    Citations: 37
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 7, 100312

 

  1. Title: The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction
    Citations: 32
    Year: 2023
    Journal: Cleaner Engineering and Technology 15, 100664

 

  1. Title: Use machine learning algorithms to predict turbine power generation to replace renewable energy with fossil fuels
    Citations: 26
    Year: 2023
    Journal: Energy Exploration & Exploitation 41(2), 836-857

 

  1. Title: Evaluation of the application of computational model machine learning methods to simulate wind speed in predicting the production capacity of the Swiss basel wind farm
    Citations: 21
    Year: 2022
    Journal: 2022 26th International Electrical Power Distribution Conference (EPDC), 31-36

 

  1. Title: Improving the prediction of wind speed and power production of SCADA system with ensemble method and 10-fold cross-validation
    Citations: 19
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 8, 100351

 

  1. Title: Estimating the output power and wind speed with ML methods: a case study in Texas
    Citations: 17
    Year: 2023
    Journal: Case Studies in Chemical and Environmental Engineering 7, 100324

 

  1. Title: Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in Predicting Wind Speed and Energy Generation
    Citations: 15
    Year: 2023
    Journal: Intelligent Systems with Applications 19, 200248

 

  1. Title: AERO2022-flying danger reduction for quadcopters by using machine learning to estimate current, voltage, and flight area
    Citations: 15
    Year: 2022
    Journal: e-Prime-Advances in Electrical Engineering, Electronics and Energy 2, 100084

 

  1. Title: Prediction of wind speed and power with LightGBM and grid search: case study based on Scada system in Turkey
    Citations: 8
    Year: 2023
    Journal: International Journal of Energy Production and Management 8.

 

šŸ† Conclusion

Seyed Matin Malakouti is a strong candidate for the Research for Best Researcher Award due to his diverse and impactful research contributions, utilization of advanced machine learning techniques, and recognition within the academic community. By focusing on broader impact, interdisciplinary collaboration, and public engagement, he can further enhance his research profile and increase the overall impact of his work.

Gizachew Kefelew Hailu | Mathematical Modeling | Best Faculty Award

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Mr. Gizachew Kefelew Hailu | Virtual Reality | Young Scientist Award

Mr at Debre Berhan University, Ethiopia

I am currently employed as an Assistant Professor in the Mathematics Department at Debre Berhan University, where I teach various undergraduate and postgraduate courses, including mathematical modeling, differential equations, and applied mathematics. My role includes mentoring and providing academic support to students, guiding their research and projects. I have also been actively involved in research, community service, and holding roles such as Head of the Department and Dean of the College.

Publication Profile

Scholar

šŸŽ“ Education and Training

Master of Science in Mathematics Addis Ababa University 12/09/2007 ā€“ 24/07/2009 Ā Addis Ababa Final Grade: 3.68 Courses: Real Analysis, Algebra, Topology, Functional Analysis, Differential Equations, Selected Topics in Differential Equations. Bachelor of Degree in Civil Engineering Mekelle University 14/09/2011 ā€“ 24/02/2016 Ā Addis Ababa. Final Grade: 3.69 Courses: Engineering Mechanics, Strength of Materials, Theory of Structures, Numerical Methods, Soil Mechanics, Engineering Hydrology, Highway Engineering, Foundation Engineering, Construction Materials, Water Supply and Urban Drainage

šŸ¢ Work Experience

Dean of the College of Natural and Computational Science Debre Berhan University 07/12/2019 ā€“ Current Ā Debre Berhan Ā Responsibilities: Academic Leadership, Community Engagement, Research and Innovation, Curriculum Development, Budget Management, Student Support, Strategic Planning, Communication and Advocacy, Accreditation and Compliance. Assistant ProfessorDebre Berhan University 08/11/2016 ā€“ Current Debre Berhan Responsibilities: Teaching, Research, Mentorship. Head of Department of Mathematics Debre Berhan University 17/11/2017 ā€“ 06/12/2019 Ā Debre Berhan Ā Responsibilities: Leadership, Department Operations, Faculty Development, Curriculum Oversight, Strategic Planning

šŸŒ Networks & Memberships

Ethiopian Mathematics Professional Association 12/05/2018 ā€“ Current Promoting and engaging in enhancing the quality of mathematics, mathematics education, and research

šŸ… Honours and Awards

ACE II MSc in Railway Engineering Scholarship Addis Ababa University 13/04/2014. M.Sc. in Mathematics Addis Ababa University Ā 12/10/2007

 

Publications:

  • Title: Improving passengersā€™ attitudes toward safety and unreliable train operations: analysis of a mathematical model of fractional order
    Authors: G.K. Hailu, S.W. Teklu
    Journal: Frontiers in Applied Mathematics and Statistics
    Year: 2024
    Volume: 10
    Article: 1290494
    Citations: 2
  • Title: Investigation into hate speech dissemination dynamics in a community using fractional order modeling approach
    Authors: G.K. Hailu, S.W. Teklu
    Journal: Research in Mathematics
    Year: 2024
    Volume: 11(1)
    Article: 2386748
  • Title: Modeling and Analysis of Hate Speech Propagation in a Community using Fractional Order Derivatives
    Authors: G.K. Hailu, S.W. Teklu
    Year: 2024
  • Title: Teachersā€™ Perception on Integrating Problems in the Teaching of Mathematics
    Authors: B.B. Hailu, Gizachew Kefelew, Teferi Getachew, Hailemicheal Lemma, Endris Yimam
    Journal: Ethiopian Journal of Indigenous Knowledge and Applied Sciences
    Year: 2023
    Volume: 1(1)
    Pages: 111-128
  • Title: Biodiversity Strategy Improved in Ethiopia by Using Optimal Control System
    Authors: M.C.W. A.N. Mohamad, Niguessie Dedefi Waritu, Gizachew Kefelew Hailu
    Journal: International Journal of Sciences: Basic and Applied Research
    Year: 2019
  • Title: The Implication of Mathematical Modeling in Teaching
    Authors: G. Kefelew, G. Tewdros
    Journal: Far East Journal of Mathematical Education
    Year: 2014
    Volume: 12(2)
    Pages: 187

 

Kulsoom Saima Bughio | Information System | Women Researcher Award

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Ā Mrs. Kulsoom Saima Bughio | Information System| Women Researcher Award

Ā Mrs. Edith Cowan University Australia,Ā  Australia

šŸ‘©ā€šŸ”¬A diligent and ambitious researcher nearing completion of a PhD in Computing and Security from the esteemed School of Science at Edith Cowan University, WA. My research endeavors focus on the intersection of Semantic modeling and reasoning applied to the Internet of Medical Things (IoMT), aiming to identify and address cyberattacks and vulnerabilities in medical devices within healthcare systems. Alongside my academic pursuits, I’ve honed my teaching skills within the field of computer science, contributing to the academic growth of students. With a robust understanding of both theoretical concepts and practical applications in computer science, I offer a unique perspective to my work and possess a penchant for thriving in challenging and dynamic environments. I am enthusiastic about collaborating with like-minded individuals and organizations to foster innovation and advancement in the field.

 

Profile

Scopus

Orcid

Scholar

 

ExperiencešŸ’¼

Jan 2022 – Present | Casual Academic Edith Cowan University, Joondalup Campus. Jan 2024 – Present | Academic Teacher
Curtin College and University. Mar 2018 – Present | Assistant Professor University of Sindh, Pakistan. Aug 2014 – Mar 2018 | Lecturer University of Sindh, Pakistan. Jan 2013 – Jan 2016 | Visiting Faculty (Computer Science) University of Sindh Pakistan, at Thatta Campus. Apr 2012 – Aug 2014 | Teaching Assistant University of Sindh Pakistan. Dec 2015 – Jun 2019 | Focal Person (Prime Minister Nawaz Sharif Laptop Scheme) HEC: Higher Education Commission, Pakistan. Sep 2011 – Jan 2012 | Science Teacher City School, Thatta Pakistan. May 2011 – Aug 2011 | IT Trainer. GIBCE: Government Institute of Business and Commercial Education Mar 2010 – Mar 2011 | Lecturer. GGDCT: Government Girls Degree College Thatta, Sindh, Pakistan Jan 2010 – Dec 2014 | Volunteer and Supporter SHSO-Sindh Human Support Organization Sujawal, Thatta, Pakistan. Feb 2009 – June 2009 | IT Trainer BBSYDP Pakistan: Benazir Bhutto Shaheed Youth Development Program.

EducationšŸŽ“

2019 – Present | PhD (Doctor of Philosophy) Edith Cowan University, Joondalup, WA 2013 – 2015 | M.Phil. (Master of Philosophy) University of Sindh, Jamshoro, Pakistan GPA: 4.0/4.0 2010 – 2011 | C.T (Certificate in Teaching) Technical College, Thatta, Sindh, Pakistan Grade: A Division 2009 – 2010 | B. Ed (Bachelor of Education) University of Sindh, Jamshoro, Pakistan GPA: 3.78/4.0 2004 – 2007 | BS (Bachelor of Computer Science (Hons)) University of Sindh, Jamshoro, Pakistan

SkillsšŸ› ļø

  • Project Management
  • Written and Verbal Communication
  • Team Leadership
  • Data Management
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Time Management

Certifications šŸ“œ

Various Certifications obtained during PhD study and Casual Teaching at Edith Cowan University, including PDA Trainings, Epigium, Risk management, Ethical Management, etc., spanning from 2019 to 2023. Certificate of participation as a Presenter and Team Leader for the “WA HEALTH HACKATHAN 2022” organized by WA Data Science Innovation Hub on August 18th, 2022. Certificate of participation as a Team Leader for “ECU Open Day” organized on July 31st, 2022. Worked as a Team Leader for the TCP-ECU program held at ECU Perth along with four campuses: Joondalup, Mount Lawley, Bunbury, and Southwest from August to November 2022. Certificate of Completion for Training as a Microsoft Office Specialist by Microsoft on December 30th, 2017. Training Workshop Certificate on ā€œSocial Research Methods (SRMs)ā€ at FESEA Library, Area Study Centre for East and South Asia, University of Sindh, Jamshoro with the collaboration of Higher Education Commission, from February 6th to 17th, 2017. Certificate of Participation for the Seminar and Training, ā€œAchieving Excellence in Researchā€, organized in Hyderabad, by the collaboration of Research Gateway Society and the Australian Islamic Library, on November 5th, 2016. Certificate of Participation for the training program on ā€œChinese Language Courseā€ at Chinese Corner, Digital FESEA Library, Area Study Centre, University of Sindh, Jamshoro- Pakistan, from August to September 2016. Training Workshop Certificate on ā€œAcademic Excellenceā€ at the University of Sindh, Jamshoro, on November 26th, 2015. Training program Certificate on ā€œActive Citizens Training of Facilitatorsā€ at the University of Sindh Pakistan, with the collaboration of the British Council and the University of Sindh, from September 4th to 18th, 2015. Certificate of Participation during the 1st International Conference on WSNs (Wireless Sensor Networks) for developing countries at Mehran EUT Jamshoro, Pakistan, from April 24th to 26th, 2013. Graduate Program Internship for a bachelorā€™s in education (B. Ed), at County Cambridge High School Hyderabad from April 27th, 2010, to May 28th, 2010. Certificate of Training on ā€œWeb Developerā€ under the project titled Benazir Shaheed Youth Development Program at AIMS from February 1st, 2009, to May 31st, 2009. OCA (Oracle Certified Associate) from APTECH, Karachi, Pakistan, in 2007, with a score of 96%.

Awards and Recognition šŸ†

2024: School of Science Research Scholarship, $22,600. 2023-2024: School of Science HDR Tuition Fee Scholarship, $20,000. 2023: Nominated for Graduate Women in WA (GWWA) Centenary Dinner. 2022: Nominated for Judging Committee for School of Science Symposium. 2019-2024: School of Science HDR Research Funding for Travel and Publication, $4,500. 2019-2023: ECU-HEC Scholarship (Edith Cowan University-Higher Education Commission Pakistan), Fully Funded Scholarship for PhD Studies.

Publications Top Notes šŸ“

  • Knowledge organization systems to support cyber-resilience in medical smart home environments
    • Authors: KS Bughio, LF Sikos
    • Book: Cybersecurity for Smart Cities: Practices and Challenges
    • Year: 2023
    • Pages: 61-69

 

  • An interactive system for visualization of cultural heritage objects of Sindh in a web-based environment
    • Authors: KS Unar, AM Unar, Z Patoli
    • Conference: 2016 Sixth International Conference on Innovative Computing Technology
    • Year: 2016

 

  • Knowledge organization system for partial automation to improve the security posture of IoMT networks
    • Author: KS Bughio
    • Journal: Procedia Computer Science
    • Year: 2023
    • Volume: 225
    • Pages: 3471-3478

 

  • Developing a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring
    • Authors: KS Bughio, DM Cook, SAA Shah
    • Journal: Sensors
    • Year: 2024
    • Volume: 24
    • Issue: 9
    • Pages: 2804

 

  • Reconstruction and archival approaches with 3D visualization of Cultural Heritage in Museums of Sindh Region
    • Authors: AM Unar, KS Unar, S Talpur, TJ Khanzada
    • Conference: 2019 IEEE 6th International Conference on Engineering Technologies and ā€¦
    • Year: 2019

 

  • Visualization and interaction methods for portable antiquities of Sindh
    • Authors: KS Unar, Z Patoli, S Chandio, S Solangi

 

 

Ming Xu | Spatio-Temporal Data Mining | Best Researcher Award

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Assoc Prof Dr. Ming Xu | Spatio-Temporal Data Mining |Best Researcher Award

šŸ‘Øā€šŸ«Profile Summary

Ming Xu is an accomplished Associate Professor at Liaoning Technical University, specializing in computer science, particularly in transportation systems. With a Ph.D. from Beijing University of Posts and Telecommunications and a wealth of academic and research experience, Dr. Xu has made significant contributions to the field. He has authored numerous publications in prestigious journals and has been recognized with awards such as the World Artificial Intelligence Conference Youth Outstanding Paper Award. Dr. Xu’s expertise lies in learning to rank nodes in road networks, anomaly detection, traffic signal control, and traffic flow prediction using advanced data mining and deep learning techniques

šŸŒ Professional Profiles

 

  1. OrcidĀ  Profile

šŸ“šEducationĀ 

PhD in Computer Science Beijing University of Posts and Telecommunications Duration: September 2010 – July 2015.Ā  Master in Computer Science Shenyang Ligong University Duration: September 2005 – April 2008. Bachelor in Computer Science Liaoning Technical University Duration: September 1999 – 2003

šŸ‘Øā€šŸ’¼Professional Service

  • Guest editor of special issue of Journal of Advanced Transportation (SCI)
  • Reviewer of IEEE Trans. on ITS\Physica A\ITSC

šŸ† Awards

  • World Artificial Intelligence Conference Youth Outstanding Paper Award (2020)

šŸŽ“Academic experience

Associate Professor Software College, Liaoning Technical University Duration: October 2020 – Present. Postdoctoral position Tsinghua University Duration: February 2016 – February 2019

 

šŸ“šTop Noted Publication

    1. Title: MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
      • Authors: Ming Xu, Jing Zhang
      • Journal: Information Sciences
      • Status: In press
      • DOI: 10.1016/j.ins.2024.120472

     

    1. Title: Discovery of Critical Nodes in Road Networks through Mining from Vehicle Trajectories
      • Authors: Ming Xu, Jianping Wu, Mengqi Liu, Yunpeng Xiao, Haohan Wang, Dongmei Hu
      • Journal: IEEE Transactions on Intelligent Transportation Systems
      • Year: 2018
      • Volume: 20
      • Issue: 2
      • Pages: 583-593
      • Award: World Artificial Intelligence Conference Youth Outstanding Paper Award
      • Links: Award, Report

     

    1. Title: Anomaly Detection in Road Networks using Sliding-Window Tensor Factorization
      • Authors: Ming Xu, Jianping Wu, Haohan Wang, Mengxin Cao
      • Journal: IEEE Transactions on Intelligent Transportation Systems
      • Year: 2019
      • Volume: 20
      • Issue: 12
      • Pages: 4704-4713

     

    1. Title: Network-wide Traffic Signal Control based on Discovery of Critical Nodes and Deep Reinforcement Learning
      • Authors: Ming Xu, Jianping Wu, Ling Huang, Rui Zhou, Tian Wang, Dongmei Hu
      • Journal: Journal of Intelligent Transportation Systems
      • Year: 2020
      • Volume: 24
      • Issue: 1
      • Pages: 1-10

     

    1. Title: Traffic Flow Prediction with Rainfall Impact Using A Deep Learning Method
      • Authors: Yuhan Jia, Jianping Wu, Ming Xu
      • Journal: Journal of Advanced Transportation
      • Year: 2017

     

    1. Title: Charging Pile Siting Recommendations via the Fusion of Points of Interest and Vehicle Trajectories
      • Authors: Yuan Kong, Jianping Wu, Ming Xu, Kezhen Hu
      • Journal: China Communications
      • Year: 2017
      • Volume: 14
      • Issue: 11
      • Pages: 29-38

     

    1. Title: Rumor propagation dynamic model based on evolutionary game and anti-rumor
      • Authors: Yunpeng Xiao, Diqiang Chen, Shihong Wei, Qian Li, Haohan Wang, Ming Xu
      • Journal: Nonlinear Dynamics
      • Year: 2019
      • Volume: 95
      • Pages: 523-539

     

    1. Title: Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis
      • Authors: Geqi Qi, Yiman Du, Jianping Wu, Ming Xu
      • Journal: IET intelligent transport systems
      • Year: 2015
      • Volume: 9
      • Issue: 8
      • Pages: 792-801

     

    1. Title: Emission pattern mining based on taxi trajectory data in Beijing
      • Authors: Tingting Li, Jianping Wu, Anrong Dang, Lyuchao Liao, Ming Xu
      • Journal: Journal of cleaner production
      • Year: 2019
      • Volume: 206
      • Pages: 688-700

     

    1. Title: 3-HBP: A three-level hidden Bayesian link prediction model in social networks
      • Authors: Yunpeng Xiao, Xixi Li, Haohan Wang, Ming Xu, Yanbing Liu
      • Journal: IEEE Transactions on Computational Social Systems
      • Year: 2018
      • Volume: 5
      • Issue: 2
      • Pages: 430-443