Sadoon Abdallah | Data Analysis | Best Researcher Award

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Dr. Sadoon Abdallah | Data Analysis | Best Researcher Award

Doctorate at University of Anbar, Iraq

👨‍🎓 Profiles

Orcid Profile
Google Scholar Profile
Research Gate Profile

🌟 Academic Background

Dr. Abdallah is a seasoned lecturer in Civil Engineering, specializing in building and construction materials as well as construction management. With significant experience in collaborating with sponsors, stakeholders, and solution providers, he emphasizes sustainable construction technologies and their practical applications. His research interests include construction waste management and valorisation. Dr. Abdallah is recognized for his meticulous organization, analytical skills, and ability to perform under pressure, ensuring high-quality project delivery within budget.

🎓 Education

  • PhD in Civil and Environmental Engineering from Brunel University London, UK (Oct 2013 – Nov 2017). His research focused on bonding mechanisms and strength of steel fibre reinforced cementitious composites (SFRCCs).
  • MSc (Hons) in Structural Engineering from University Sains Malaysia (USM), Malaysia (Jul 2010 – Apr 2012). His dissertation explored the use of waste glass as a fine aggregate replacement in concrete blocks.
  • BSc (Hons) in Civil Engineering from University of Anbar, Iraq (Sept 2002 – Jun 2006). His final year dissertation studied the effect of aggregate size on the mechanical properties of concrete.

💼 Employment History

  • Lecturer/Head of Studies and Planning Unit at University of Anbar, Iraq (Oct 2018 – Present). Dr. Abdallah teaches various modules, develops innovative teaching practices, engages in research, and maintains professional relationships.
  • Area Manager at Relief International, Iraq (Jan 2018 – Sep 2018). He managed operations, ensured safety, and facilitated communication with local governments and donors.
  • Teaching Assistant/Research Associate at Brunel University London, UK (Oct 2013 – Jan 2018). He prepared lectures, assisted in experimental programs, and evaluated student work.
  • National Project Assistant with FAO and UNIDO, Iraq (Oct 2009 – Dec 2010). He supported project management and implementation.
  • Supervisor Engineer at USAID/Management System International (MSI), Iraq (Apr 2008 – Jun 2009). Responsibilities included project planning, team management, and compliance with standards.
  • Site Engineer at International Relief & Development (IRD) Organization, Iraq (Nov 2007 – Mar 2008). He oversaw civil engineering projects and coordinated contractor work.

🏅 Awards

  • Dean’s Prize for Innovation and Impact from Brunel University London, UK (2017).
  • Vice-Chancellor’s Travel Prize for Postgraduate Research from Brunel University London, UK (2016).

🔬 Professional Activities

Dr. Abdallah serves as a peer reviewer for leading journals including Construction and Building Materials, Waste Management, and Structural Concrete.

🏛️ Memberships

  • Member of the Institution of Civil Engineers (ICE), UK.
  • Member of Brunel University Civil Engineering Society, UK.
  • Member of the Iraqi Engineers Union, Iraq.

📖 Publications

Bonding mechanisms and strength of steel fiber–reinforced cementitious composites: Overview

  • Authors: S. Abdallah, M. Fan, D.W.A. Rees
  • Journal: Journal of Materials in Civil Engineering
  • Year: 2018

Characteristics of concrete with waste glass as fine aggregate replacement

  • Authors: S. Abdallah, M. Fan
  • Journal: International Journal of Engineering and Technical Research
  • Year: 2014

Bond-slip behaviour of steel fibres in concrete after exposure to elevated temperatures

  • Authors: S. Abdallah, M. Fan, K.A. Cashell
  • Journal: Construction and Building Materials
  • Year: 2017

Pull-out behaviour of hooked end steel fibres embedded in ultra-high performance mortar with various W/B ratios

  • Authors: S. Abdallah, M. Fan, X. Zhou
  • Journal: International Journal of Concrete Structures and Materials
  • Year: 2017

Anchorage effects of various steel fibre architectures for concrete reinforcement

  • Authors: S. Abdallah, M. Fan, X. Zhou, S. Le Geyt
  • Journal: International Journal of Concrete Structures and Materials
  • Year: 2016

Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

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Dr. Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Doctorate at Jiangsu University, China

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Research Gate Profile

Dr. Seyedeh Azadeh Fallah Mortezanejad, born on July 31, 1990, in Rasht, Iran, is an accomplished statistician specializing in statistical inferences and quality control. Her work focuses on maximum entropy, copula functions, and machine learning applications, reflecting her expertise in diverse areas of statistics and data analysis.

🎓 Academic Background

Dr. Mortezanejad earned her Ph.D. in Statistical Inferences from Ferdowsi University of Mashhad, Iran (2015-2020), with a thesis on “Applications of entropy in statistical quality control.” She completed her M.Sc. in Mathematical Statistics at Guilan University, Rasht, Iran (2012-2014), where her thesis was titled “Semi-parametric estimation of conditional Copula.” Her academic journey began with a B.Sc. in Statistics from Guilan University, Rasht, Iran (2008-2012).

💼 Professional Experience

Dr. Mortezanejad has taught various courses at prominent institutions, including Ferdowsi University of Mashhad and University of Guilan. Her teaching experience includes courses such as Statistics and Probability for Engineering, Applied Statistics 2, and Statistics and Probabilities in Management. Additionally, she has served as a Teacher Assistant for several courses, including “Statistics for Economy I and II” and “Mathematical Statistics,” at Ferdowsi University of Mashhad.

🔬 Research Interests

Her research interests encompass a range of topics including Maximum Entropy, Measures of Information, Copula Functions, Tied Observations, Machine Learning, Image Processing, Quality Control, and Control Charts. Dr. Mortezanejad’s work explores innovative applications and methodologies in these fields.

📝 Published Articles

Dr. Mortezanejad has authored several notable publications. Her work includes articles such as “Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms” in Entropy (2024) and “Joint dependence distribution of data set using optimizing Tsallis copula entropy” in Physica A (2019). Other significant contributions include research on entropic structures in capability indices and the analysis of stock data based on copula functions.

🎤 Seminars

Dr. Mortezanejad has actively participated in international seminars and workshops. Notable presentations include “Profile Control Chart Based on Maximum Entropy” at the International Workshop on Responsible AI in Vietnam (2023) and discussions on Variational Bayesian Approximation (VBA) at the 41st and 42nd International Workshops on Bayesian Inference in France and Germany (2022-2023). She has also contributed to workshops on copula theory and information measures in Iran.

🧑‍🔬 Reviewer

She has been recognized as a Certified Reviewer for Helion Journal (2024) and has served as a reviewer for the 16th FLINS Conference and the 19th ISKE Conference in Spain (2024).

💻 Software Skills

Dr. Mortezanejad is proficient in several software and programming languages, including Python, R, MATLAB, Scilab, and C++. She is also skilled in SPSS Modeler, SPSS Statistics, and Minitab, with experience in using Latex for academic writing and documentation.

📖 Publications

Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms”

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Entropy
    Year: 2024

Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Physical Sciences Forum
    Year: 2023

Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Conference: MaxEnt 2022
    Year: 2023

Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo

  • Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
    Journal: Reviews on Recent Clinical Trials
    Year: 2022

An Entropic Structure in Capability Indices

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Communications in Statistics – Theory and Methods
    Year: 2019

Joint Dependence Distribution of Data Set Using Optimizing Tsallis Copula Entropy

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Physica A: Statistical Mechanics and its Applications
    Year: 2019

 

Mao Makara | Machine Learning Applications | Best Researcher Award

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Mr. Mao Makara | Machine Learning Applications | Best Researcher Award

Mr. Mao Makara at  Soonchunhyang University, South Korea

👨‍🎓 Profiles

Orcid Profile
Research Gate Profile

📚 Academic Background

Makara MAO earned his Bachelor of Engineering degree in Computer Science from the Royal University of Phnom Penh in 2016. He is currently pursuing a combined Master’s and PhD degree in Software Convergence at Soonchunhyang University, South Korea, starting in 2021. His research interests encompass machine learning, deep learning, image classification, video classification, and object detection.

🎓 Education and Training

Makara MAO’s academic journey includes:

  • Sep 2021 – Present: Enrolled in a combined Master’s and PhD degree program at the Department of Software Convergence, Soonchunhyang University, South Korea.
  • Oct 2019 – Jul 2021: Completed a Master’s Degree in Information Technology Engineering at the Royal University of Phnom Penh, Cambodia.
  • Oct 2012 – Jul 2016: Obtained a Bachelor’s Degree in Computer Science from the Royal University of Phnom Penh, Cambodia.

💼 Work Experience

Makara’s professional experience includes:

  • Sep 2020 – Jan 2021: Served as the Application Team Leader at ORM Co., Ltd., Phnom Penh, Cambodia.
  • Jul 2016 – Jul 2020: Worked as an Application Engineer at Ezecom Company, Phnom Penh, Cambodia, where he was involved in web development and system management.

🛠 Skills and Interests

Makara MAO’s skills and interests include:

  • Programming Languages: Proficient in Python, PHP, Laravel; knowledgeable in C and C++.
  • Technical Skills: Expertise in GPU Parallel Algorithms, Data Structures, Algorithms, and Object-Oriented Programming.
  • Research Interests: Focused on Video Classification, Deep Learning, and Image Processing.

💬 Communication / Managerial Skills

Makara MAO excels in communication and management:

  • Effective Communicator: Actively participates in local and international conferences.
  • Adaptable: Open-minded and a good listener, comfortable working with new people, including international students.
  • Creative Problem-Solver: Adept at exploring new possibilities and solutions to challenges.
  • Leadership: Demonstrated strong leadership abilities by managing research teams and guiding junior researchers.

📖 Publications

Deep Learning Innovations in Video Classification: A Survey on Techniques and Dataset Evaluations

    • Journal: Electronics
    • Year: 2024

Video Classification of Cloth Simulations: Deep Learning and Position-Based Dynamics for Stiffness Prediction

    • Journal: Sensors
    • Year: 2024

Coefficient Prediction for Physically-based Cloth Simulation Using Deep Learning

    • Journal: International Journal on Advanced Science, Engineering and Information Technology
    • Year: 2023

Supervised Video Cloth Simulation: Exploring Softness and Stiffness Variations on Fabric Types Using Deep Learning

    • Journal: Applied Sciences
    • Year: 2023

Bi-directional Maximal Matching Algorithm to Segment Khmer Words in Sentence

    • Journal: Journal of Information Processing Systems
    • Year: 2022

Longyue Li | Optimization Techniques | Best Researcher Award

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Prof Dr. Longyue Li | Optimization Techniques | Best Researcher Award

Prof Dr. Longyue Li at Air Force Engineering University, China

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Research Gate Profile

Dr. Longyue Li is an Associate Professor of Operations Research at Air Force Engineering University, recognized for his contributions to decision theory, intelligent algorithm design, and military logistics.

📚 Academic Background

Dr. Longyue Li serves as an Associate Professor at the Air Force Engineering University. He holds a Ph.D. in Operations Research and has an impressive academic record with over 40 published papers, 12 patents, and four academic monographs.

🎓 Education

Dr. Li earned his Ph.D. in Operations Research and completed postdoctoral research funded by the China Postdoctoral Science Foundation, further enhancing his expertise in the field.

💼 Professional Experience

With over 8 years as an Associate Professor at Air Force Engineering University, Dr. Li has significantly contributed to the field. He is also an Editorial Board Member for the Journal of Ordnance and Equipment Engineering. His professional collaborations include projects with XiDian University and Northwestern Polytechnical University.

🔍 Research Interests

Dr. Li’s research spans several key areas: Decision Theory and Methods, Intelligent Algorithm Design, Real-time Decision Support Systems, Complex Network Analysis, and Military Logistics and Operations Research.

🏆 Achievements

Dr. Li has led national projects funded by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His work has resulted in over 40 papers in prestigious journals, 12 patents, and four academic monographs. Notably, his research has been instrumental in logistics planning and continues through ongoing university collaborations.

📖 Publications

Optimization of Predefined-Time Agent-Scheduling Strategy Based on PPO
    • Authors: Dingding Qi, Yingjun Zhao, Longyue Li, Zhanxiao Jia
    • Journal: Mathematics
    • Year: 2024
A Novel Softplus Linear Unit for Deep Convolutional Neural Networks
    • Authors: Zhao, H.; Liu, F.; Li, L.; Luo, C.
    • Journal: Applied Intelligence
    • Year: 2018
Defense Effectiveness Analysis of Multi-Mode Shooting to Multi-Type Targets
    • Authors: Li, L.; Liu, F.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.
    • Journal: PLoS ONE
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.; Luo, C.
    • Journal: Tongxin Xuebao/Journal on Communications
    • Year: 2017
Differential Game Model and Solving Method for Missile Pursuit-Evasion
    • Authors: Li, L.; Liu, F.; Shi, X.; Wang, J.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2016

Jack Shu | Educational Data Analysis | Best Researcher Award

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Dr. Jack Shu | Educational Data Analysis | Best Researcher Award

Doctorate at Hong Kong Metropolitan University, Hong Kong

👨‍🎓 Profile

Orcid Profile

🎓 Education

  • Master of Fine Arts in Drama (Directing), Hong Kong Academy for Performing Arts, 2015
  • Postgraduate Diploma of Education (Liberal Studies), Hong Kong Baptist University, 2008
  • Doctor of Philosophy (Drama Education), Institute of Education, University of Warwick, 2007
  • Master of Arts in Drama Education and Cultural Studies, Institute of Education, University of Warwick, 1998
  • Master of Philosophy (Translation), Hong Kong Baptist University, 1996
  • Bachelor of Arts in English Language and Literature (Merit), Hong Kong Baptist University, 1991
  • Honours Diploma in English Language and Literature (minor in Translation), Hong Kong Baptist College, 1989

🏢 Work Experience

Jack has had a distinguished career in academia and drama education. Currently, he serves as an Associate Professor II at the School of Education and Languages, Hong Kong Metropolitan University, where he has been since July 2016. His role includes leading several undergraduate and master’s programs, such as the Bachelor of Language Studies with Honours [Applied Chinese Language Studies] and the Master of Education in Drama and Language Education. His responsibilities also extend to developing and coordinating various drama and language courses.

Before his current role, Jack worked as an Assistant Professor and Lecturer at Hong Kong Metropolitan University, and has held teaching and research positions at various institutions including QualiEd College and the Arts Education Section of the Curriculum Development Institute. His early career included roles in translation and editorial work with Oxford University Press and the Centre for Translation at HKBU.

🕒 Part-time Roles

Jack has contributed to the field of drama education through several part-time roles. He has lectured at the Hong Kong Academy for Gifted Education and the Master of Drama Education program offered by Griffith University and Hong Kong Art School. Additionally, he has served as a tutor and lecturer for Chung Ying Theatre and the B.A. in Humanities program at Hong Kong Baptist University.

🏅 Professional Qualification

Jack is a registered teacher with the Hong Kong Education Bureau, holding Registration No.: R214278, since 2009.

🏆 Awards

In recognition of his outstanding teaching, Jack received the President’s Award for Teaching Excellence from the Open University of Hong Kong for the academic year 2015-16.

📚 Publications and Professional Works

Jack’s scholarly contributions include numerous peer-reviewed journal articles, such as “An Autoethnography of Teaching Drama to Student Teachers in Hong Kong” (2024) and “Facets of Human Conditions—Some Artistic Records and Ethnotheatrical Interpretations of Ex-gambling Addicts” (2023). He is also recognized for his major performing arts productions, including directing and playwrighting works like “My Sister’s Keeper” (2024) and “The Ugly Ducklings’ Taiwan Experience” (2023). His research includes funded projects like “Stage for Positive Ageing: Oral History Theatre by Older People” (2024-2026) and the “Jockey Club ‘Fun with Classical Chinese’ Drama Education Research Project” (2023-2025).

📖 Edited Works

Jack co-edited the Journal of Drama and Theatre Education in Asia in 2011 and 2012, contributing significantly to the field’s literature.

🛠️ Consultancies and Other Services

Jack provides consultancy services and is an editorial board member for various journals. He also serves as a subject specialist for the Hong Kong Council for Accreditation of Academic and Vocational Qualifications and is the Vice-Chairperson of the Hong Kong Institute of Drama and Theatre Education. His additional roles include tutoring, speaking, and adjudicating for numerous educational and cultural institutions.

📖 Publications

An Autoethnography of Teaching Drama to Student Teachers in Hong Kong

    • Author: Jack Shu
    • Journal: Education Sciences
    • Year: 2024

The art of growing old: oral history theatre plays a part

    • Author: Jack Shu
    • Journal: RIDE-The Journal of Applied Theatre and Performance
    • Year: 2022

Ethnodrama with Hong Kong problem gamblers and their family: between ethnographic reality and dramatic fiction

    • Author: Jack Shu
    • Journal: RIDE-The Journal of Applied Theatre and Performance
    • Year: 2020

Forum theatre by ex-gambling addicts – the Chinese family

    • Author: Jack Shu
    • Journal: NJ-Drama Australia Journal
    • Year: 2018

Theatre of the Oppressed on love, sex and gender: Hong Kong students’ reflections

    • Author: Jack Shu
    • Journal: Applied Theatre Research
    • Year: 2016

Return of the ghost – to discipline or/and to teach?

    • Author: Jack Shu
    • Journal: Asia Pacific Journal of Education
    • Year: 2010

Walid El Hamad | Real-world Case Studies | Best Researcher Award

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Dr. Walid El Hamad | Real-world Case Studies | Best Researcher Award

Doctorate at University of Wollongong, Australia

 (📊) Profiles

Orcid Profile
Scopus Profile

📚 Academic Background

Lecturer Walid El Hamad earned his Doctor of Philosophy in Accounting from the University of Wollongong in 2021. His doctoral thesis, “A Spectacular Production: NEITI, Transparency, and Accountability in the Extractive Industry in Nigeria,” reflects his deep engagement with critical issues in the field. He also holds a Bachelor of Commerce Honours (Class I) (2016) and a Bachelor of Commerce Accounting (Dean’s Scholar) (2015), both from the University of Wollongong. Earlier, he completed a Bachelor of Arts in History from the Lebanese University, Lebanon, in 2005.

💼 Professional Experience

Currently, Walid serves as a Lecturer in the Faculty of Business and Law, School of Business – Accounting at the University of Wollongong (2024 – Present). He previously held the role of Career Development Fellow in Accounting at the same institution (2022 – 2024). His teaching experience includes delivering the course ACCY902 – Applied Financial Accounting in 2022. Walid has also contributed as a Reviewer for the Pacific Accounting Review in 2023 and has worked as a Research Assistant on various projects, including Social Reporting Accounting at the University of South Australia and the Australian Aviation Industry at Western Sydney University.

🏆 Awards and Recognitions

Walid’s excellence has been recognized with multiple nominations for the UOW VC Award for Outstanding Contribution to Teaching and Learning in 2019 and 2023. Additionally, his PhD thesis received an Examiners’ Commendation for Outstanding PhD Thesis in 2021, highlighting the impact and quality of his research work.

🔍 Research Activities

Walid’s research contributions include a peer-reviewed conference paper titled “A Spectacular Production: NEITI, Transparency, and Accountability in the Extractive Industry in Nigeria” (2021, University of Wollongong). His articles have been published in notable journals such as The Extractive Industries and Society and Pacific Accounting Review. He co-authored a chapter on the aviation industry’s post-pandemic future in the book Digitalization and the Impacts of COVID-19 on the Aviation Industry (2022). His working paper, “Extracting Transparency: NEITI as an Integrated Megaspectacle,” is currently under revision and resubmission at Meditari.

📈 Professional Development

Walid is committed to his ongoing professional development, having participated in Teaching in Focus workshops to discover his authentic teaching style and to engage students in active learning (2023). He is also involved in the Early Career Academic Development Program (2024 – Present), reflecting his dedication to continuous improvement and academic excellence.

📖 Publication

Article Title: Transparency and public accountability: Does the Nigerian extractive industries transparency initiative deliver?

Authors: Walid El Hamad, Sanja Pupovac, Lee Moerman
Journal: Extractive Industries and Society
Year: 2024

Article Title: Chevron Australia and Tax Justice Network: a case of rhetoric

Authors: Walid El Hamad, Lee Moerman, Sanja Pupovac
Journal: Pacific Accounting Review
Year: 2023

Olha Tikhonova | Cultural Heritage | Best Researcher Award

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Dr. Olha Tikhonova | Cultural Heritage | Best Researcher Award

Doctorate at Art History Department, Seville University, Spain

 (📊) Profile

Orcid Profile

👩‍🔬 Personal Profile

Olha Tikhonova is a dedicated, detail-oriented researcher with nearly nine years of experience in architectural research. She has an extensive publication record in architectural journals, showcasing her expertise in architectural theory, conservation of architectural monuments, and urban analysis. As a confident presenter at international conferences, Olha has earned recognition as a research fellow across three countries and has been a recipient of multiple grants.

🎓 Education

  • University of Lisbon: European Ph.D. in Architecture with Unanimous Distinction and Honours (Mar. 2020). Dissertation: “Understanding of Bastion Castles in the 17th Century in Galicia Region.” Specialization: Restoration and Conservation.
  • Lviv Polytechnic: M.S. in Architecture with Highest Honors (Dec. 2013). Thesis: “The Program of Preservation and Restoration of Ivano-Frankivsk Region Castles of the 16th-18th c.”
  • Lviv Polytechnic: B.S. in Architecture with Highest Honors (May 2012). Qualifying project: “Shopping complex in Ivano-Frankivsk city.”

🔬 Research Experience

  • Art History Department, Seville University: Assistant Professor, working on a funded project as PI (May 2024-present).
  • Institute of History, Polish Academy of Sciences: Post-doctoral Fellow (Apr. 2022-Mar. 2024).
  • Faculty of Engineering, University of Porto: Post-Doc Fellow (Jul. 2020-Sep. 2021).
  • The Research Centre for Architecture, Urbanism and Design (CIAUD): Ph.D. Researcher (2016-2020).
  • Vienna Technical University: Research Fellow (Jan. 2018-Apr. 2018 & May 2013).
  • Warsaw University: Research Fellow (Jul. 2016).

💰 Funding Record

  • Institute of History, Polish Academy of Sciences: Marie Skłodowska-Curie Individual Fellowship project (#847639).
  • Palladio Museum: Scholarship for course participation (€700 + VAT).
  • Faculty of Engineering, University of Porto: Portuguese National Science Foundation Post-doctoral scholarship (€23,044).
  • Vienna Technical University: Doctoral Fellowship (€4,000 + travel allowance).
  • Lisbon University: Erasmus Mundus Ph.D. award (€48,000 + insurance + study fees + travel).
  • Summer Research Grant, East European Summer School: Award for research and training (€233 + training fee + travel + accommodation).
  • Lviv Polytechnic National University: Master and Bachelor studentship grants by The Ministry of Education and Science of Ukraine.

🌍 Funded Conference Participation

  • Defence Sites Conference: Alicante, Spain (May 2016).
  • 6th Annual International Conference on Architecture and Civil Engineering: Singapore (May 2018).
  • 5th International Symposium “Formal Methods in Architecture 2020”: Lisbon, Portugal (October 2020).
  • International Conference of Young Professionals «Geoterrace-2021»: Porto, Ukraine (October 2021).

📅 Conference Organization & Committee Membership

  • Global Webinar on Civil, Architectural, and Environmental Engineering (GWCAEE-2022): Scientific Committee Member (Aug. 2022).
  • International Scientific and Technical Conference “Design, Architecture, History and Modernity”: Scientific Committee Member (Dec. 2021).
  • Portuguese – Ukrainian Cooperation Seminar and Workshop: Organizer and Leader (Oct. 2021).

🏛️ Research Expeditions

  • Pidhirtsi Bastion Castle: Organizer and Leader of student expedition (Oct. 2021).

🛠️ Skills

  • Computer Skills: Proficient in ArchiCAD, Adobe Lightroom, Microsoft Office, Zotero, Mendeley, VisualSFM, MeshLab, Photoshop, Python, ArcGIS, QGIS, AutoCAD 3D, Illustrator, Grasshopper, 3ds Max, Rhino, Unity3D.
  • Language Skills: Native Ukrainian, bilingual Russian, professional English, upper-intermediate Polish and Portuguese, basic German and Spanish.

📚 Teaching Experience

  • Lviv Polytechnic: Guest Lecturer (Jun. 2021-Oct. 2021).
  • Bauhaus-Universität Weimar: Digital lecture on defensive architecture (Jun. 2022).

📝 Academic Publications

  • Selected Works: Tikhonova, O. (2023). Comprehensive Study of Brody Bastion Castle in Structural Analysis of Historical Constructions. Cham: Springer.
  • Tikhonova, O. (2022). Gardens as Architectural Heritage of the Bastion Castle Ensemble. Heritage, 6(2), 1713–1731.

🎤 Conference Presentations

  • International Conferences: Presented on topics including bastion castles, urban studies, and architectural heritage at conferences in Spain, Singapore, Portugal, and Ukraine.

🔍 Research Projects (Ongoing and Completed)

  • Institute of History, Polish Academy of Sciences: Project on Jacques Perret’s influence on defensive Polish architecture.
  • University of Porto: Developed indicators for fire risk assessment of architectural heritage.
  • CIAUD: Typomorphological studies of bastion castles.
  • Vienna Technical University: Space syntax evaluation of fortified palaces.

📖 Publication

Comprehensive Study of Brody Bastion Castle

    • Authors: Tikhonova, Olha
    • Journal: Structural Analysis of Historical Constructions
    • Year: 2023

Comprehensive typomorphological approach to the studies on the bastion castle phenomenon in the former Polish lands

    • Authors: Tikhonova, Olha
    • Journal: Defensive Architecture of the Mediterranean
    • Year: 2023

The DALIH Database for Recording Disaster Damage and Loss Data in Cultural Heritage

    • Authors: Romão, Xavier; Paupério, Esmeralda; Tikhonova, Olha
    • Journal: Structural Analysis of Historical Constructions
    • Year: 2023

Gardens as Architectural Heritage of the Bastion Castle Ensemble

    • Authors: Tikhonova, Olha
    • Journal: Heritage
    • Year: 2023

COMPREHENSIVE OVERVIEW OF REMAINED BASTION CASTLES IN LVIV REGION (UKRAINE)

    • Authors: Tikhonova, Olha
    • Journal: Current Issues in Research, Conservation and Restoration of Historic Fortifications
    • Year: 2022

The Theoretical Background of Bastion Castles in Renaissance Architectural Treatises

    • Authors: Tikhonova, Olha
    • Journal: Proceedings of the 7th International Conference on Architecture, Materials and Construction
    • Year: 2022

Brian Katz | Virtual Reality Analytics | Best Researcher Award

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Dr. Brian Katz | Virtual Reality Analytics | Best Researcher Award

Doctorate at CNRS/Sorbonne University, France

Profiles

Orcid Profile
Google scholar Profile

🔬 Research Director & Acoustics Specialist

Brian F.G. Katz is a distinguished research director at the Institut Jean Le Rond d’Alembert, Sorbonne Université, CNRS, specializing in room acoustics, spatial auditory perception, and 3D audio. With a rich academic background in Physics and Philosophy, he earned his Ph.D. in Acoustics from Penn State University and his HDR in Engineering Sciences from Université Pierre et Marie Curie.

📚 Project Coordinator & Principal Investigator

Brian coordinates several notable projects, including ANR-PHEND (The Past Has Ears at Notre-Dame), ANR-RASPUTIN (Room Acoustic Simulations for Perceptually Realistic Uses in Real-Time Immersive and Navigation Experiences), EU JPI-CH PHE (Past Has Ears), and the EU H2020 Sonicom project. He also leads the EVAA (Experimental Virtual Archaeological-Acoustics) project and has previously managed significant projects like ANR-ECHO and FUI-Bili.

🛠️ Professional Experience

Brian’s career spans several roles, including Research Director at Institut Jean Le Rond d’Alembert since 2021, Head of Audio & Acoustics Group at LIMSI-CNRS from 2015-2016, and Consultant for various acoustic firms such as Artec Consultants Inc. and ARUP & Partners. He has also held researcher positions at IRCAM and the Laboratoire d’Acoustique Musicale.

🏅 Distinctions & Awards

Brian has received prestigious awards for his contributions to the field, including the European Acoustics Association Award in 2008, Ergo’IHM Best Scientific Paper Award in 2012, EuroVR Best Scientific/Technical Paper Award in 2017, and the Journal of the Audio Engineering Society Best Paper Award in 2020.

📝 Editorial Activities

He serves as an associate editor for several journals, including the Journal of the Acoustical Society of America, Journal of Multimodal Interfaces, Virtual Worlds, Frontiers in Signal Processing, and Applied Sciences (Acoustics and Vibrations Section).

🌐 Society Affiliations

Brian is an active member of several professional societies, including the Acoustical Society of America (Fellow since 2018), Société Française d’Acoustique (Member of Musical Acoustics Committee 2007-2012), Audio Engineering Society, and the International Community on Auditory Display (Board Member 2015-2017).

📖 Publication

Boundary Element Method Calculation of Individual Head-Related Transfer Function. I. Rigid Model Calculation
    • Authors: BFG Katz
    • Journal: The Journal of the Acoustical Society of America
    • Volume: 110
    • Issue: 5
    • Pages: 2440-2448
    • Year: 2001
Ecological Validity of Soundscape Reproduction
    • Authors: C Guastavino, BFG Katz, JD Polack, DJ Levitin, D Dubois
    • Journal: Acta Acustica united with Acustica
    • Volume: 91
    • Issue: 2
    • Pages: 333-341
    • Year: 2005
Perceptual Evaluation of Multi-Dimensional Spatial Audio Reproduction
    • Authors: C Guastavino, BFG Katz
    • Journal: The Journal of the Acoustical Society of America
    • Volume: 116
    • Issue: 2
    • Pages: 1105-1115
    • Year: 2004
NAVIG: Augmented Reality Guidance System for the Visually Impaired
    • Authors: BFG Katz, S Kammoun, G Parseihian, O Gutierrez, A Brilhault, M Auvray, …
    • Journal: Virtual Reality
    • Volume: 16
    • Issue: 4
    • Pages: 253-269
    • Year: 2012
Exploration of Architectural Spaces by Blind People Using Auditory Virtual Reality for the Construction of Spatial Knowledge
    • Authors: L Picinali, A Afonso, M Denis, BFG Katz
    • Journal: International Journal of Human-Computer Studies
    • Volume: 72
    • Issue: 4
    • Pages: 393-407
    • Year: 2014
Boundary Element Method Calculation of Individual Head-Related Transfer Function. II. Impedance Effects and Comparisons to Real Measurements
    • Authors: BFG Katz
    • Journal: The Journal of the Acoustical Society of America
    • Volume: 110
    • Issue: 5
    • Pages: 2449-2455
    • Year: 2001
A Comparative Study of Interaural Time Delay Estimation Methods
    • Authors: BFG Katz, M Noisternig
    • Journal: The Journal of the Acoustical Society of America
    • Volume: 135
    • Issue: 6
    • Pages: 3530-3540

Wu Shu-fei | Quality control | Women Researcher Award

Published on by Research Data Analysis

Prof Dr. Wu Shu-fei | Quality control | Women Researcher Award

Prof Dr. Wu Shu-fei at Department of Statistics, Tamkang university, Taiwan

Profiles

Orcid Profile
Research Gate Profile

👩‍🔬 Academic Background

Shu-Fei Wu, Ph.D., is a Distinguished Professor in the Department of Statistics at Tamkang University, Taiwan, R.O.C. She earned her Ph.D. from the University of Georgia in Statistics, where she was mentored by Dr. Hubert J. Chen.

🎓 Education

Shu-Fei Wu, Ph.D., completed her doctoral studies in Statistics at the University of Georgia, under the mentorship of Dr. Hubert J. Chen. 📚

🔬 Professional Experience

She has managed 21 research projects funded by Taiwan’s National Science and Technology Council and has published 83 papers in SCI and EI journals. Dr. Wu is also the author of the textbook “Statistics and the Application of R Software”. She has guided two Ph.D. students and 34 graduate students to their degrees.

👩‍🎓 Student Mentorship

Under her guidance, two Ph.D. students and 34 graduate students have successfully received their degrees.

🔍 Research Interests

Her research focuses on industrial statistics, with a special emphasis on inferences related to process capability indices and lifetime performance indices.

🌍 International Contributions

Professor Wu has shared her expertise at 19 international seminars, presenting her research findings and advancing the field of statistics.

📖 Publication

Computational Analysis of the Comprehensive Lifetime Performance Index for Exponentiated Fréchet Lifetime Distribution Products with Multi-Components
    • Authors: Shu-Fei Wu; Hsueh-Chien Yeh
    • Journal: Symmetry
    • Year: 2024
The Assessment of the Overall Lifetime Performance Index of Chen Products with Multiple Components
    • Authors: Shu-Fei Wu; Yu-Lun Huang
    • Journal: Mathematics
    • Year: 2024
The Computational Testing Procedure for the Comprehensive Lifetime Performance Index of Burr XII Products in Multiple Production Lines
    • Authors: Shu-Fei Wu; Pei-Hsuan Kuo; Wen-Shuenn Deng
    • Journal: Mathematics
    • Year: 2024
Assessment of the Overall Lifetime Performance Index of Weibull Products in Multiple Production Lines
    • Authors: Shu-Fei Wu; Kuan-Yi Chiang
    • Journal: Mathematics
    • Year: 2024
The Testing Procedure for the Overall Lifetime Performance Index of Rayleigh Products in Multiple Production Lines Based on the Progressive Type I Interval Censored Sample
    • Authors: Shu-Fei Wu; Pei-Tzu Huang
    • Journal: Symmetry
    • Year: 2024
Experimental Design for Progressive Type I Interval Censoring on the Lifetime Performance Index of Chen Lifetime Distribution
    • Authors: Shu-Fei Wu; Meng-Zong Song
    • Journal: Mathematics
    • Year: 2023
One-Stage Multiple Comparisons of the Mean Lifetimes of k Treatments with the Average for Exponential Distributions under Heteroscedasticity
    • Authors: Shu-Fei Wu
    • Journal: Axioms
    • Year: 2023
Sample Size Determination for Two-Stage Multiple Comparisons for Exponential Location Parameters with the Average
    • Authors: Shu-Fei Wu
    • Journal: Mathematics
    • Year: 2023
Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values
    • Authors: Shu-Fei Wu
    • Journal: Symmetry
    • Year: 2022
Interval Estimation for the Two-Parameter Exponential Distribution under Progressive Type II Censoring on the Bayesian Approach
    • Authors: Shu-Fei Wu
    • Journal: Symmetry
    • Year: 2022
Multiple Comparison Procedures for Exponential Mean Lifetimes Compared with Several Controls
    • Authors: Shu-Fei Wu
    • Journal: Mathematics
    • Year: 2022
Bayesian Interval Estimation for the Two-Parameter Exponential Distribution Based on the Right Type II Censored Sample
    • Authors: Shu-Fei Wu
    • Journal: Symmetry
    • Year: 2022
A Study on the Experimental Design for the Lifetime Performance Index of Rayleigh Lifetime Distribution under Progressive Type I Interval Censoring
    • Authors: Shu-Fei Wu; Tzu-Hsuan Liu; Yu-Hua Lai; Wei-Tsung Chang
    • Journal: Mathematics
    • Year: 2022
Experimental Design for the Lifetime Performance Index of Weibull Products Based on the Progressive Type I Interval Censored Sample
    • Authors: Shu-Fei Wu; Yu-Cheng Wu; Chi-Han Wu; Wei-Tsung Chang
    • Journal: Symmetry
    • Year: 2021

Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Published on by Research Data Analysis

Dr. Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Doctorate at Infosys/Aspen University, Arizona, United States

Dr. Madan Mohan Tito Ayyalasomayajula is a distinguished professional with a remarkable career in computer science and technology. His extensive background includes significant roles as a Senior Technology Architect, Research Scholar, and Industry Expert. Dr. Tito’s contributions span across academia, industry, and technology innovation, showcasing a profound impact on various domains such as artificial intelligence, machine learning, and system architecture.

Profiles

Scopus Profile
Orcid Profile

🌳Academic Background 

Dr. Ayyalasomayajula is a seasoned technology architect and research scholar with over 20 years of experience in system architecture, cloud technologies, big data, and AI/ML. He holds a Doctor of Science in Computer Science from Aspen University and has contributed extensively to both academia and industry through his work in various roles, including as a Senior Technology Architect at Infosys Ltd., and previously as an Enterprise Architect at Walgreens and Toyota Motors North America.

🎓 Education

Dr. Madan Mohan Tito Ayyalasomayajula holds a Doctor of Science in Computer Science from Aspen University, Phoenix, Arizona (Aug 2019 – May 2024). He completed his Master of Technology in Computer Science & Engineering at Osmania University (2003 – 2005) and his Master of Computer Applications from Osmania University (1998 – 2001). His undergraduate degree, a Bachelor of Science, is from Andhra University (1994 – 1997).

🏅 Memberships

He is a Senior Member of IEEE and IEEE Computer Society, and a member of MIET (The Institute of Engineering & Technology), AET (International Academy of Engineering & Technology), and IACSIT (International Association of Computer Science and Information Technology). Additionally, he is affiliated with IASA Global (International Association for Software Architects), IAENG (International Association of Engineers), and serves as an Editorial Member for ESP Journal of Engineering & Technology Advancements. His memberships extend to IOASD (International Organization for Academic and Scientific Development) and IET – AI TN Committee as a Research Officer, and he is also a Technical Advisory Board Member at Aspen University, Arizona, USA.

💡 Profile

Dr. Tito is a Doctor of Science in Computer Science and a Senior Technology Architect with over 20 years of experience. He is a Research Scholar, Author, and Peer Reviewer, with expertise in building and implementing machine learning models, leveraging natural language processing and computer vision techniques, and applying predictive analytics using AI and ML technologies. His experience spans Architecture, System Analysis, Development, and Project Planning, with notable skills in Azure & AWS cloud technologies, Big Data, IoT, and Advanced Databases.

📰 Media Articles

He has written media articles on topics including the power of machine learning in production, the role of AI in managing big data, and the future of manufacturing with Explainable AI. His other articles discuss AI’s potential in diagnostics and address the skepticism surrounding AI advancements.

🏆 Awards

Dr. Tito has been recognized with the Aegis Graham Bell Award for his work on Revenue Plus and Incremental Revenue Through Incremental Sales (IRIS) products at Mahindra Comviva.

🛠️ Patents

He holds patents for various innovative technologies, including predictive maintenance systems, smart healthcare devices using AI, and early prediction algorithms for kidney diseases.

💼 Work Experience

He has held significant positions at Infosys Ltd. as a Senior Technology Architect, Walgreens / OmTek as an Enterprise Architect, Toyota Motors North America as an Enterprise Cloud Solutions Architect, and Mahindra Comviva as a Principal Architect. His roles have involved delivering digital services, architectural design, system optimization, and leading R&D initiatives across multiple domains.

🎤 Presentations and Exhibitions

Dr. Tito has been a guest speaker and keynote presenter at various conferences and workshops, including GIET University, SR University, and international AI conferences. He has also participated in podcasts and interviews, sharing his expertise on AI and technology.

🏅 Judging

He has served as a judge at numerous science and technology events, including the Ohio State Science Day, Regeneron ISEF, and Technovation for Girls. Additionally, he contributes as a peer reviewer for various scholarly journals and conferences.

🧑‍🏫 Mentorships

Dr. Tito is actively involved in mentoring through platforms such as Mentoring Club, ADPList, and the Global Mentoring Initiative.

📖 Publication

Explainable Artificial Intelligence (XAI) for Emotion Detection
    • Authors: Ayyalasomayajula, M.M.T.; Ayyalasomayajula, S.; Pandey, J.K.
    • Journal/Book: Book chapter in DOI: 10.4018/979-8-3693-4143-8.ch010
    • Year: 2024
Exploring Strategies for Privacy-Preserving Machine Learning in Distributed Environments
    • Authors: Dodda, S.; Kumar, A.; Kamuni, N.; Ayyalasomayajula, M.M.T.
    • Journal/Conference: 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024)
    • Year: 2024
Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine
    • Authors: Ayyalasomayajula, M.M.T.; Tiwari, A.; Arora, R.K.; Khan, S.
    • Journal/Conference: 3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE 2024)
    • Year: 2024
Optimizing Photometric Light Curve Analysis: Evaluating Scipy’s Minimize Function for Eclipse Mapping of Cataclysmic Variables
    • Author: Dr. Madan Mohan Tito Ayyalasomayajula
    • Journal: Journal of Electrical Systems
    • Year: 2024
Reddit Social Media Text Analysis for Depression Prediction: Using Logistic Regression with Enhanced Term Frequency-Inverse Document Frequency Features
    • Authors: Madan Mohan Tito Ayyalasomayajula; Akshay Agarwal; Shahnawaz Khan
    • Journal: International Journal of Electrical and Computer Engineering (IJECE)
    • Year: 2024