Petros Barmpas | Statistical Analysis | Best Researcher Award

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

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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

fahimeh nasimi | biomedical signal processing | Best Researcher Award

Dr. fahimeh nasimi | biomedical signal processing | Best Researcher Award

A proactive and innovative researcher with expertise in deep learning and machine learning applications, specializing in cardiac arrhythmia detection algorithms. With a Ph.D. in Computer Engineering and extensive experience as an Assistant Professor at the University of Isfahan-Khansar Campus, I excel in strategic problem-solving and decision-making. Known for maintaining composure under pressure and fostering collaborative environments, I am committed to advancing knowledge through hands-on research and effective team leadership. My career highlights include significant contributions to wireless body area networks and a strong record of academic excellence, including top rankings during both my B.Sc. and M.Sc. studies at Isfahan University.

Profile

  1. Scopus

 

  1. Orcid

šŸ“ˆCore Qualifications

Proactive Researcher: Extensive experience in conducting independent research with a proactive approach.. Strategic and Creative Thinking: Strong problem-solving skills, capable of developing innovative strategies by thinking outside the box. Decision Making: Skilled in making informed decisions and taking responsibility for outcomes. Even Temperament: Ability to maintain composure and handle situations calmly, regardless of challenges. Learning by Doing: A continuous learner who thrives on hands-on experience and practical learning. Collaboration & Team Building: Proficient in fostering collaborative environments and building effective teams.

Technical Skills

Programming Languages: C, C++, MATLAB, Python, Advanced Skills: Deep Learning, Machine Learning, Software Proficiency: ICDL, Cisco Packet Tracer, Linux (Ubuntu)

šŸ’¼Professional Experience

Assistant Professor, University of Isfahan-Khansar Campus. Since September 2023 University Lecturer (Part-time) University of Isfahan January 2021 – 2023. Visiting Researcher University of South Australia September 2017 – March 2018 Research Assistant University of Isfahan 2014 – 2023

šŸŽ“Education

  • Postdoc Researcher, Department of Biomedical Engineering
    • Faculty of Engineering, University of Isfahan
    • Isfahan, Iran
    • 2020 – 2023
  • Ph.D. in Computer Engineering
    • Faculty of Computer Engineering, University of Isfahan
    • Isfahan, Iran
    • 2014 – 2020
    • Thesis: Improving Intra-nodes Communication Power Consumption in Wireless Body Area Networks
  • Master in Computer Engineering – Computer Systems Architecture
    • Faculty of Computer Engineering, University of Isfahan
    • Isfahan, Iran
    • 2011 – 2013
  • Bachelor in Computer Engineering – Computer Hardware
    • Department of Computer Engineering, Faculty of Engineering, University of Isfahan
    • Isfahan, Iran
    • 2005 – 2009

šŸ«Employment History

  • Assistant Professor
    • University of Isfahan-Khansar Campus
    • September 2023 – Present

šŸ”¬Research Focus

My research interests primarily focus on designing novel algorithms using deep learning techniques for the detection of cardiac arrhythmias. This interest was sparked during my postdoctoral research and continues to evolve in my current role, where I am dedicated to addressing challenges associated with identifying similar types of arrhythmias.

šŸ† Awards and HonorsĀ 

Ranked 3rd, B.Sc. students, Isfahan University, 2009. Ranked 2nd, M.Sc. students, Isfahan University, 2014

Publications Top Notes šŸ“

  • Title: Green Communication in wireless network
    • Authors: Ehdieh Khaledian, Fahimeh Nasimi, Naser Movahedinia
    • Conference: ETEC (Emerging Trends in Energy Conservation), 2013

 

  • Title: A survey on energy consumption reduction techniques in WBAN
    • Authors: Fahimeh Nasimi, Naser Movahedinia, Mohammad Reza Khayyambashi
    • Conference: CITCONF, 2017

 

  • Title: Exploiting Similar Prior Knowledge for Compressing ECG Signals
    • Authors: Fahimeh Nasimi, Naser Movahhedinia, Mohammad Reza Khayyambashi, Yee Wei Law
    • Journal: Biomedical Signal Processing and Control (Elsevier), 2020
    • Year: 2020

 

  • Title: Redundancy cancellation of compressed measurements by QRS complex alignment
    • Authors: Nasimi Fahimeh, Mohammad Reza Khayyambashi, Naser Movahhedinia
    • Journal: Plos one
    • Volume: 17
    • Issue: 2
    • Year: 2022
    • Article ID: e0262219

 

  • Title: LDIAED: A lightweight deep learning algorithm implementable on automated external defibrillators
    • Authors: Nasimi Fahimeh, Mohammadreza Yazdchi
    • Journal: Plos one
    • Volume: 17
    • Issue: 2
    • Year: 2022
    • Article ID: e0264405

 

  • Title: A novel spatio-temporal convolutional neural framework for multimodal emotion recognition
    • Authors: Sharafi Masoumeh, Mohammadreza Yazdchi, Reza Rasti, Fahimeh Nasimi
    • Journal: Biomedical Signal Processing and Control
    • Volume: 78
    • Year: 2022
    • Pages: 103970

 

Kulsoom Saima Bughio | Information System | Women Researcher Award

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

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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

 

 

Ehsan Pashanejad | spatial analysis | Young Scientist Award

Ā Mr. Ehsan Pashanejad | spatial analysis | Young Scientist Award

Ā Mr. The University of British Columbia Okanagan, Canada

šŸ‘©ā€šŸ”¬ As part of the NSERCResNet strategic network, I am immersed in modeling the intricate interactions among multiple ecosystem services across the Canadian Prairies for my PhD program. My MSc research delved into various aspects of ecosystem change impacts, vulnerability, community resilience, and the interactions between human and natural systems. I’ve conducted hydrological ecosystem service mapping for local climate change adaptation and mitigation planning in the Comox Valley, Vancouver Island, as part of the UBC sustainability scholar program. Proficient in mapping and modeling ecosystem services, environmental complexities, and geospatial analysis, I’ve contributed to strategic spatial planning and decision-making processes on both small and large scales in Iran and Canada. Moreover, I’ve collaborated with federal government agencies like Parks Canada, where I conducted climate change vulnerability assessments for species at risk in Wood Buffalo National Park.

 

Profile

Orcid

Scholar

Education šŸ“ššŸŽ“

PhD in Earth and Environmental Sciences University of British Columbia, Okanagan (UBCO), CanadaPh.D. Project: Modeling the interactions of Ecosystem Services Supply Using a Spatial System Framework across the Canadian PrairieThesis Supervisor: Prof. Lael Parrott. M.Sc. in Geography and Spatial PlanningTarbiat Modares University, Tehran, Iran Thesis Title: Impact Assessment of Urmia Lake Ecosystem Changes on Spatial Organization in the Eastern Region Thesis Supervisor: Dr. Mojtaba Rafieian. Bachelor of Art (B.A.) in Geography and Urban PlanningUniversity of Tabriz, Tabriz, Iran Graduation Project: Sustainable Urban Development in Azarshahr County Supervisor: Prof. Mohammadreza Pourmohammadi

Awards, Honours, Grants šŸ†šŸ’°

2023: Young Scientist Summer Program Participant at the International Institute for Advanced System Analysis, Laxenburg, Austria2020: Graduate Deans Entrance Scholarship from the University of British Columbia Okanagan Campus, Canada2020: Graduate Research Assistantship funded by the Natural Sciences and Engineering Council of Canada (NSERCResNet)2018: Travel Grant to Potsdam Summer School, Germany2017: Top Book Award in Tenth Harakat National Festival, Tehran, Iran2015-2016: Winner of 5 awards from the Iranian Elite Foundation, Iran

Research Experience šŸ“šŸ”

September 2020 – 2023 (current):Expected completion year: 2024Position: Graduate Research Assistant, University of British Columbia (UBC), Okanagan Campus Responsibilities: Ecosystem Service Supply Modeling and Mapping Sep 2013 – Jan 2016:Position: Climate Change Research Assistant, Parks Canada, Vancouver, Canada Responsibilities: Conducted Climate Change Vulnerability Assessment for species at Risk in Wood Buffalo National Park Worked with Nature Serve Sep 2008 – Jul 2012:Position: Research Assistant at Geography and Planning Lab, Tarbiat Modares University, Tehran, Iran Responsibilities: Conducted Environmental Vulnerability Assessment Studied Rural Community Resilience Engaged in GIS-based MCDM (Multi-Criteria Decision Making)2017-2018:Position: Research Assistantship at Geographical Research Centre, University of Tabriz Responsibilities: Explored Regional Resilience and Environmental Changes Studied Environmental Vulnerability

Teaching Experience šŸ“ššŸ‘Øā€šŸ«

Jan 2021 – Present: Position: Teaching Assistant at The University of British Columbia, Okanagan Campus Courses: GEOG 109 (Earth Systems: Landscape Dynamics)GEOG 108 (Earth Systems: Weather, Climate, and Life)GISC 381 (Fundamentals of Geographic Information Science)

Work Experience šŸ’¼šŸŒ

May 2022 – Aug 2022:Position: Graduate Research Assistant, UBC, Okanagan Campus Responsibilities: Conducted Hydrological Ecosystem Service Mapping in the Comox Valley for local climate change mitigation plan Aug 2017 – Sep 2020:Position: Spatial Planner at Management and Planning Organization of East Azerbaijan Province, Tabriz, Iran Responsibilities: Preparing and Monitoring of Strategic Spatial Plan of East-Azerbaijan Province Apr 2018 – 2020:Position: Spatial Planner and GIS Expert at Apadana Economic Development Planners Engineer Consulting (BETA), Tehran, Iran Responsibilities: Part-time Collaboration with the West-Azerbaijan Province Strategic Spatial Plan Apr 2017 – Nov 2017:Position: Spatial Data Infrastructure (SDI) Project at Dadeh Pardazaneh Makan Mabna (DPMM) Consulting Engineer Responsibilities: Collaboration with The University of Tabriz, Spatial Data Infrastructure (SDI) Project of East-Azerbaijan Management and Planning Organization

Seminars and Conferences Attended šŸŽ“šŸŒ

International Conference on Geographic Environmental Impacts of Urmia Lake Conditions University of Tabriz, Tabriz, Iran, 23-24 Nov 2016The Conference on Political Reordering of Space and Optimal Governance of Tehran City Tarbiat Modares University, Tehran, Iran, Feb 2016The Conference on Decentralization and Reordering of the Capital in Iran Tarbiat Modares University, Tehran, Iran, Feb 2015

Publications Top Notes šŸ“

  • Spatial Assessment of the Relationship between Environmental Vulnerability and Rural Community Resilience in East-Azerbaijan Province
    • Authors: E Pashanejad-Silab, M Rafieian, M Pourtaheri
    • Journal: Journal of Research and Rural Planning
    • Year: 2017

 

  • VULNERABILITY ASSESSMENT OF URMIA LAKE CRISIS IN THE AGRICULTURE SECTOR AND RURAL COMMUNITY RESILIENCE CHALLENGES
    • Authors: E PASHANEJAD SILAB, M RAFIEIAN, S SHAYAN
    • Journal: GEOGRAPHY AND ENVIRONMENTAL HAZARDS
    • Year: 2017

 

  • The application of semantic modelling to map pollination service provisioning at large landscape scales
    • Authors: E Pashanejad, H Thierry, BE Robinson, L Parrott
    • Journal: Ecological Modelling
    • Year: 2023

 

  • Vulnerability Spheres identification of Urmia Lake Ecosystem changes on Eastern Spatial Organization
    • Authors: E Pashanzhad- Silab, M Rafieian, S Shayan
    • Journal: The Journal of Spatial Planning
    • Year: 2016

 

  • A Functional Connectivity Approach for Exploring Interactions of Multiple Ecosystem Services in the Context of Agricultural Landscapes
    • Authors: E Pashanejad, A Kharrazi, ZMF Araujo-Gutierrez, B Robinson, B Fath, …
    • Journal: Available at SSRN
    • Year: Not specified

 

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

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