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

Nadeem Akhtar | Mathematics | Best Researcher Award

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Dr. Nadeem Akhtar | Mathematics | Best Researcher Award

Dr at Higher Education Department Khyber Pakhtunkhwa,Ā  Pakistan

Nadeem Akhtar, a graduate of Quaid-I-Azam University Islamabad, holds an M.Phil from the University of Peshawar. He completed his doctoral research under the supervision of Dr. Sajjad Ahmad Khan and Dr. Muhammad Amin NIFA. Specializing in Bayesian Estimations, Categorical Data Analysis, Censored Data, Regression, and Experimental Design, he has published extensively in academic journals. Nadeem currently serves as an Associate Professor in the Khyber Pakhtunkhwa Higher Education Archives & Libraries Department.

Publication profile

šŸŽ“ Education

Dr. Akhtar earned his Ph.D. in Statistics from Islamia College, Peshawar, Pakistan (2018-2021). He also holds an M.Phil. in Statistics from the University of Peshawar (2004-2006), an M.Sc. in Statistics from Quaid-I-Azam University, Islamabad (2000-2001), and a B.Sc. from Gomal University, D.I. Khan (1997-1999). His academic journey reflects a strong foundation in statistical principles and methodologies.

šŸ’¼ Experience

Dr. Akhtar has extensive experience in the Higher Education Department of Khyber Pakhtunkhwa, Pakistan. He has served as an Associate Professor since May 2019, previously holding positions as an Assistant Professor (2011-2019) and a Lecturer in Statistics (2005-2011). His dedication to teaching and research has made significant contributions to the field of statistics in Pakistan.

šŸ… Awards and Honors

Dr. Akhtar’s work has been recognized through various accolades, including multiple research publications in reputable journals. He is also involved in peer review activities for esteemed journals such as Kuwait Journal of Science and AIP Advances, demonstrating his commitment to advancing statistical research and education.

šŸ”¬ Research Focus

Dr. Akhtar’s research primarily focuses on Bayesian estimation methods, statistical modeling, and analysis of unemployment among educated segments in Pakistan. His publications reflect his expertise in quantitative performance analysis and life testing models, contributing valuable insights to the field of statistics and its applications in social sciences.

šŸ’» Computer Skills

Dr. Akhtar is proficient in statistical packages like SPSS and Minitab and has experience with programming languages such as BASIC, Mathematica, and R. His technical skills enable him to conduct complex statistical analyses and contribute to research initiatives effectively.

 

Publication

1. LFTA: Legacy Friendly Traffic Allocation Strategy for Multi-Link Operation in WiFi7
  • Type: Conference paper
  • Conference: 2024 16th International Conference on COMmunication Systems and NETworkS (COMSNETS 2024)
  • Year: 2024
  • DOI: 10.1109/COMSNETS59351.2024.10426831
  • EID: 2-s2.0-85186724793
  • ISBN: 9798350383119
  • Contributors: Kulshrestha, J.; Akhtar, N.; Hathi, P.; Maity, M.
2. Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators
  • Type: Journal article
  • Journal: Mathematics
  • Date: 2024-09-27
  • DOI: 10.3390/math12193027
  • Contributors: Nadeem Akhtar; Muteb Faraj Alharthi; Muhammad Shakir Khan
3. Analyzing Quantitative Performance: Bayesian Estimation of 3-Component Mixture Geometric Distributions Based on Kumaraswamy Prior
  • Type: Journal article
  • Journal: Statistical Papers
  • Date: 2024-05-15
  • DOI: 10.1007/s00362-024-01562-0
  • Contributors: Nadeem Akhtar; Sajjad Ahmad Khan; Emad A. A. Ismail; Fuad A. Awwad; Akbar Ali Khan; Taza Gul; Haifa Alqahtani
4. Bayesian Estimation of 3-Component Mixture Geometric Distribution Under Different Loss Functions
  • Type: Journal article
  • Journal: AIP Advances
  • Date: 2024-01-01
  • DOI: 10.1063/5.0189420
  • Contributors: Dr. Nadeem Akhtar; Sajjad Ahmad Khan; Emad Ismail; Fuad Awwad; Taza Gul; Akbar Ali Khan
5. Bayesian Estimation of a Geometric Distribution Using Informative Priors Based on a Type-I Censoring Scheme
  • Type: Journal article
  • Journal: Statistics in Transition new series
  • Date: 2023-06-30
  • DOI: 10.59170/stattrans-2023-047
  • Contributors: Dr. Nadeem Akhtar; Sajjad Ahmad Khan; Muhammad Amin; Akbar Ali Khan; Amjad Ali; Sadaf Manzoor
6. Bayesian Estimation of a Geometric Life Testing Model Under Different Loss Functions Using a Doubly Type-1 Censoring Scheme
  • Type: Journal article
  • Journal: Mathematical Problems in Engineering
  • Date: 2023-04-11
  • DOI: 10.1155/2023/7184528
  • Contributors: Nadeem Akhtar; Sajjad Ahmad Khan; Muhammad Amin; Akbar Ali Khan; Zahra Almaspor; Amjad Ali; Sadaf Manzoor

šŸ† Conclusion

Dr. Nadeem Akhtar is a strong candidate for the Best Researcher Award, with a robust academic background, significant teaching experience, and impactful research contributions in statistics. His strengths in research, peer review, and management, combined with a commitment to professional development, position him well for this recognition. While there are areas for improvement, particularly in increasing his publication volume and research collaborations, his overall contributions to the field of statistics make him a deserving nominee for this prestigious award. Recognizing him would not only honor his achievements but also encourage further advancements in statistical research and education.

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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.

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

 

Ali Bagheri Bardi| Digital Signal Processing | Best Researcher Award

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Assoc Prof Dr. Ali Bagheri Bardi| Digital Signal Processing | Best Researcher Award

Assoc Prof Dr.Ā  Ali Bagheri Bardi Persian Gulf University Iran

Ali Bagheri Bardi is an accomplished mathematician with a Ph.D. from Kharazmi University, specializing in pure and applied mathematics, including functional analysis, Fourier analysis, and algebraic signal processing. He has held prestigious positions, such as a postdoctoral researcher and visiting professor at the University of Montenegro and has a significant teaching career at Persian Gulf University. Recognized for his contributions, he has received awards like the Abbas Kermani Mathematics Award. His research focuses on operator algebras, noncommutative harmonic analysis, and graph signal processing, with numerous publications in esteemed journals. He has also mentored Ph.D. students and delivered invited talks at international conferences.

Publication Profile

Scholar

Evaluation for Best Researcher Award: Ali Bagheri Bardi

Strengths for the Award:

  1. Extensive Academic and Research Background: Dr. Ali Bagheri Bardi has an impressive academic background with a Ph.D. in Mathematics from Kharazmi University and significant experience in both teaching and research at renowned institutions, including the University of Montenegro and Persian Gulf University.
  2. Diverse Research Contributions: His research spans a broad spectrum of mathematical disciplines, including pure mathematics, functional analysis, Fourier analysis, von Neumann algebras, and applied mathematics, specifically in algebraic signal processing and graph signal processing.
  3. Publication Record: Dr. Bardi has a strong publication record, with numerous papers in prestigious journals such as Signal Processing, Digital Signal Processing, and Linear Algebra and its Applications. His work is recognized for its depth and contribution to the fields of functional analysis and signal processing.
  4. International Recognition: Dr. Bardi has been invited to speak at various international conferences and universities, showcasing his expertise on a global platform. This recognition by the international community is a testament to the impact and significance of his research.
  5. Mentorship: He has supervised several Ph.D. students, guiding them through complex mathematical research, which reflects his dedication to fostering the next generation of researchers.
  6. Awards and Honors: His receipt of the Abbas Kermani Mathematics Award and an Honorable Mention in the International Mathematics Competition further highlight his excellence in research and mathematical problem-solving.

Areas for Improvement:

  1. Interdisciplinary Collaborations: While his work is strong within the realm of pure and applied mathematics, Dr. Bardi could enhance his research profile by engaging in more interdisciplinary collaborations that connect mathematics with other fields, such as computer science or engineering.
  2. Broader Impact and Outreach: Increasing public engagement through popular science articles or public lectures could help disseminate his work to a wider audience and elevate his influence beyond the academic community.
  3. Securing Larger Grants: Pursuing and securing larger-scale research grants, particularly those that support collaborative, multi-institutional projects, could further bolster his standing as a leading researcher.

šŸŽ“ Education

2004ā€“2008Ā  Ph.D, Kharazmi University. 2002ā€“2004Ā  M.Sc, Kharazmi University. 1998ā€“2002 B.Sc, Shahid Beheshti University.

šŸŽÆ Interests

Pure Math. & Functional Analysis – Fourier Analysis – von Neumann Algebras. Applied Math. & Algebraic Signal Processing – Graph Signal Processing

šŸ’¼ Working Experience

2023ā€“2024Ā  Postdoctoral Position, University of Montenegro, Electrical Engineering Department. 2022ā€“2023Ā  Visiting Professor, University of Montenegro, Electrical Engineering Department. 2020ā€“2022Ā  Associate Professor, Persian Gulf University. 2010ā€“2020Ā  Assistant Professor, Persian Gulf University.

šŸ† Awards

2000Ā  Honorable Mention, International Mathematics Competition for University Students (University College London). 2021 Abbas Kermani Mathematics Award (Shiraz University).

šŸŽ¤ Invited Talks and Conferences

2009 šŸ‡ŖšŸ‡ø Infinite Matrices over Completely Counteractive Banach Algebras, Madrid University, Spain. 2010 šŸ‡øšŸ‡Ŗ Operator-Valued Convolution Algebras, Chalmers University, Sweden. 2011 šŸ‡ÆšŸ‡µ Operator Algebras and their Applications, RIMS, Kyoto University, Japan. 2011 šŸ‡µšŸ‡± Operator Algebras and Quantum Groups, Banach Center, Poland. 2011 šŸ‡±šŸ‡ŗ Noncommutative Harmonic Analysis and Representation Theory, Luxembourg University, Luxembourg. 2023 šŸ‡«šŸ‡· Noncommutative Analysis on Groups and Quantum Groups, UniversitĆ© de Bourgogne Franche-ComtĆ©, France.

šŸŽ“ Ph.D. Students

Current Student
Fatemeh Zarei, Spectral Theory of Polynomial Transforms and Fourier Transform on Graphs
2021. Ā S. Javani, Some Analysis of K-Frames and its Dual
2019 . A. Elyaspour, An Algebraic Approach to the Structure Theory of B(H)
2018. Ā M. Khosheghbal, An Approach to Operator-Valued Measurable Functions

Publications

  • Wold-type decompositions in BaerāŽ-rings
    GA Bagheri-Bardi, A Elyaspour, GH Esslamzadeh
    2018
  • The role of algebraic structure in the invariant subspace theory
    GA Bagheri-Bardi, A Elyaspour, GH Esslamzadeh
    2019
  • Operator-valued measurable functions
    GA Bagheri-Bardi
    2015
  • Operator-valued convolution algebras
    GA Bagheri-Bardi, AR Medghalchi, N Spronk
    2010
  • Numerical solutions of a mathematical model of planktonā€“oxygen dynamics using a meshless method
    A Shirzadi, S Ghayedi, M Safarpoor, G Bagheri Bardi
    2018
  • Borel structures coming from various topologies on
    GA Bagheri-Bardi, M Khosheghbal-Ghorabayi
    2017
  • Zero-padding on Connected Directed Acyclic Graphs for Spectral Processing
    L Stanković, M Daković, M Brajović, I Stanković, AB Bardi
    2023
  • Vector-valued measurable functions
    GA Bagheri-Bardi
    2019
  • An extension of Riesz dual pairing in non-commutative functional analysis
    GA Bagheri-Bardi, A Elyaspour, S Javani, M Khosheghbal-Ghorabayi
    2018
  • Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding
    L Stankovic, M Dakovic, AB Bardi, M Brajovic, I Stankovic
    2023
  • Eigenvalues of Symmetric Non-normalized Discrete Trigonometric Transforms
    AB Bardi, M Dakovic, T Yazdanpanah, L Stankovic
    2023
  • The Schur decomposition of discrete Sine and Cosine transformations of type IV
    Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Fatemeh Zarei, Ljubisa Stankovic
    2023
  • Wold-type decomposition of semigroups of isometries in BaerāŽ-rings
    GA Bagheri-Bardi, GH Esslamzadeh, M Sabzevari
    2021
  • Four Algorithms to Produce Approximate K-Dual Frames
    S Javani, GA Bagheri Bardi, F Takhteh
    2020

Conclusion:

The conclusion for the professional and academic profile of Ali Bagheri Bardi highlights his extensive expertise in both pure and applied mathematics, with a particular focus on functional analysis, operator algebras, and algebraic signal processing. Throughout his career, he has held prominent academic positions, contributed significantly to mathematical research, and received recognition for his scholarly achievements, including prestigious awards and invitations to international conferences. His research has led to numerous publications in high-impact journals, and his work continues to influence various fields, particularly in signal processing and noncommutative analysis. His dedication to mentoring Ph.D. students further underscores his commitment to advancing mathematical sciences.

 

Abebe Debu Liga | Statistics | Young Scientist Award

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Ā Mr. Abebe Debu Liga | Statistics | Young Scientist AwardĀ 

Abebe Debu is a devoted senior lecturer with more than 10 years of experience in the statistics department at Wolkite University,
Jimma University and the University of Gondar. He instructs graduate students in advanced biostatistics as well as undergraduates in a
variety of statistics courses. He actively conducted research in a variety of fields, and wrote seven publications. Together with his
work in teaching and research, he has participated in a variety of departmental, college, and university-level tasks. He also has a lot of
experience using statistical programs like SPSS, R, STATA, and SAS to analyze data. His long stay and participation in numerous
university events have provided him with opportunity to share and further knowledge and skill. This can be seen as a benefit for the
advancement of my profession, that of my future institution in particular, and that of the entire country

Profile

Scopus

Orcid

Scholar

Ā Education šŸŽ“

  • 2009-2011 GC
    Bachelor of Science in Statistics from Hawassa University
  • 2013-2015 GC
    Master of Science degree in Biostatistics from University of Gondar

Work ExperiencešŸ“š

From: September 2018 To: Present Employer: Wolkite University Major tasks: Delivering various undergraduate statistics courses. Providing SPSS and R statistical software training. Holding responsibility for department and college tasks. Participating in the development of course materials and research. Contributing to volunteer work in the community and assessing research funded by Wolkite University. Giving students guidance, support, and mentorship. From: August 2015 To: August 2018 Employer: Jimma University Major tasks: Teaching undergraduate and graduate-level statistics courses. Having responsibility over assigned department duties. Contributing to research and creating course materials. Providing students guidance, support, and mentorship. Assisting and advising MSc students on their theses. From: March 2012 To: July 2015 Employer: University of Gondar Major tasks: Lecturing various undergraduate statistics courses. Supervising assigned department duties. Contributing to the creation of course materials. Providing students guidance, support, and mentorship.

Publications Top Notes šŸ“

  • Determinants of obstetric fistula in Ethiopia
    • Authors: AA Andargie, A Debu
    • Source: African Health Sciences, 17(3), 671-680, 2017

 

  • Prevalence and correlates associated with early childbearing among teenage girls in Ethiopia: A multilevel analysis
    • Authors: AD Liga, AE Boyamo, YN Jabir, AB Tereda
    • Source: PLoS One, 18(8), e0289102, 2023

 

  • Magnitude and predictors of anemia among preschool children (36ā€“59 months) in Atingo town, Jimma, Ethiopia
    • Authors: FM Sodde, AD Liga, YN Jabir, D Tamiru, R Kidane
    • Source: Health Science Reports, 6(6), e1358, 2023

 

  • COVID-19 vaccine acceptance and adherence to non-pharmaceutical interventions among employees of public transportations company in Addis Ababa, Ethiopia
    • Authors: AD Liga, YN Jabir, RH Bacha
    • Source: Human Vaccines & Immunotherapeutics, 19(1), 2184759, 2023

 

  • Predictors of multiple sexual partners among men in Ethiopia: a multilevel analysis
    • Authors: AD Liga, YN Jabir, BA Wobse, RH Bacha
    • Source: Ethiopian Journal of Health Sciences, 32(4), 689-698, 2022

 

  • Longitudinal Systolic and Diastolic Blood Pressure Change over Time and Associated Risk Factors in Patients with Hypertension in Southwest Ethiopia: a prospective study
    • Authors: YN Jabir, AD Liga, RH Bacha, FZ Chere
    • Source: African Journal of Health Sciences, 34(1), 12-25, 2021

 

  • Risk Factors Affecting Survival Time of Breast Cancer Patients: The case of Southwest Ethiopia
    • Authors: RH Bacha, YN Jabir, AG Asebot, AD Liga
    • Source: Journal of Research in Health Sciences, 21(4), e00532, 2021

 

  • Modeling Stillbirth among Women Delivering at Southwest Ethiopia
    • Author: AD Liga
    • Source: African Journal of Health Sciences, 33(2), 65-79, 2020

 

  • Determinants of Obstetric Fistula in Ethiopia: An application of binary and multilevel logistic regression models
    • Author: AD Liga
    • Source: University of Gondar, 2015

 

  • Identifying Associated Factors in Relation to Health-Related Quality of Life among Postpartum Women in Jimma Town: A community-based cross-sectional study
    • Authors: AD Liga, YN Jabir, S Assefa, GT Debelew, BT Worku
    • Source: Heliyon, 10(8), 2024

 

Li Xia | Plant biotechnology |Best Researcher Award

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Prof. ā€ŒLi Xia |Plant biotechnology | Best Researcher Award

Prof at Qingdao University of Science and Technology China

Li Xia is a distinguished professor at the College of Chemical Engineering, Qingdao University of Science and Technology. With a PhD in Chemical Engineering, his research expertise spans process system engineering, chemical thermodynamics, dynamic simulation, process optimization, and energy-saving technologies. He has contributed extensively to the fields of chemical process simulation and intelligent chemical industry through numerous high-impact publications and patents. Li Xia has led and collaborated on several national research projects, focusing on innovative energy-saving strategies and the development of new chemical processes. His work has significantly advanced the application of thermodynamic models and optimization techniques in industrial processes.

Profile

 

šŸ“šEducation

PhD in Chemical Engineering Qingdao University of Science and Technology, China [2010-2016]

Ā šŸ¢ Professional Appointments

  • Professor College of Chemical Engineering, Qingdao University of Science and Technology [2006-present]

Research Projects šŸ“

Project Title: Research on energy saving strategies and methods for chemical processes based on fire accumulation Duration: January 2015 – December 2017 Funding Source: National Natural Science Foundation of China Grant Number: 21406124 Role: Project Leader Outcome: Concluded Project Title: Intelligent method and application research of low-temperature waste heat extraction and utilization Duration: January 2022 – December 2025 Funding Source: National Natural Science Foundation of China Grant Number: 22178190 Role: Second completer Status: Amidst Research Project Title: A new method and its application research for vapor-liquid equilibrium prediction based on elements and chemical bonds Duration: January 2012 – December 2015 Funding Source: National Natural Science Foundation of China Grant Number: 21176127 Role: Third completer Outcome: Concluded

Publications Top Notes šŸ“

  1. Benzoic Acid Catalyzed Production of Xylose and Xylooligosaccharides from Poplar
    • Authors: Li, L., Wan, Q., Lu, Y., Xu, J., Gou, J.
    • Journal: Industrial Crops and Products
    • Year: 2024
    • Volume: 213
    • Pages: 118460
    • Abstract: This study explores the catalytic production of xylose and xylooligosaccharides from poplar using benzoic acid, focusing on optimizing yield and process efficiency.

 

  1. A Matrix Completion Method for Imputing Missing Values of Process Data
    • Authors: Zhang, X., Sun, X., Xia, L., Tao, S., Xiang, S.
    • Journal: Processes
    • Year: 2024
    • Volume: 12
    • Issue: 4
    • Pages: 659
    • Abstract: This open-access article presents a matrix completion method aimed at imputing missing values in process data, potentially improving data integrity and analysis in various industrial applications.

 

  1. Design Method of Extractant for Liquidā€“Liquid Extraction Based on Elements and Chemical Bonds
    • Authors: Wei, Y., Zhang, C., Zhang, Y., Sun, X., Xiang, S.
    • Journal: Chinese Journal of Chemical Engineering
    • Year: 2024
    • Volume: 68
    • Pages: 193ā€“202
    • Abstract: The study proposes a novel design method for extractants used in liquid-liquid extraction, focusing on the role of elements and chemical bonds to enhance extraction efficiency.

 

  1. A Projected Newton Algorithm Based on Chemically Allowed Interval for Chemical Equilibrium Computations
    • Authors: Lu, H., Tao, S., Sun, X., Xia, L., Xiang, S.
    • Journal: Frontiers of Chemical Science and Engineering
    • Year: 2024
    • Volume: 18
    • Issue: 3
    • Pages: 27
    • Abstract: This article introduces a projected Newton algorithm designed to improve chemical equilibrium computations by using chemically allowed intervals, aiming to enhance accuracy and computational efficiency.

 

  1. Enhancing Working Fluid Selection for Novel Cogeneration Systems by Integrating Predictive Modeling: From Molecular Simulation to Process Evaluation
    • Authors: Wang, L., Zong, F., Liu, Z., Sun, X., Xiang, S.
    • Journal: Process Safety and Environmental Protection
    • Year: 2024
    • Volume: 183
    • Pages: 587ā€“601
    • Abstract: This research focuses on the selection of working fluids for cogeneration systems, integrating predictive modeling from molecular simulation to process evaluation to optimize performance and safety.

 

  1. Development of Special Process Simulation System for Sulfuric Acid Alkylation Process
    • Authors: Zhao, T., Xia, L., Sun, X., Chen, Y., Xiang, S.
    • Journal: Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities
    • Year: 2024
    • Volume: 38
    • Issue: 1
    • Pages: 121ā€“127
    • Abstract: This study details the development of a specialized process simulation system for the sulfuric acid alkylation process, aiming to improve efficiency and reliability in industrial applications.