Pouya Sepehr | Artificial Intelligence |Best Researcher Award

Posted on by sciencefather

Dr. Pouya Sepehr | Artificial Intelligence |Best Researcher Award

Research Fellow, Siena University, Italy

Pouya Sepehr is a researcher and urban planner specializing in the intersections of science, technology, and urban studies. He explores how technological infrastructures influence urban environments, focusing on sustainability and socio-environmental innovation.

Profile

ORCID

 

📚 Education:

Pouya holds a PhD in Science-Technology-Society from the University of Vienna, completed in 2023, with a dissertation defense in February 2024. He also holds master’s degrees from the University of Vienna in Science-Technology-Society and from Oxford Brooks University in Development and Emergency Practice. His bachelor’s degree is from Tehran University in Restorations and Conservation of Historical Buildings.

💼 Experience:

Pouya has extensive experience in project management and research. He has served as a Post-Doc Research Fellow at the University of Siena, focusing on digital social innovation in European urban contexts. Previously, he worked as a Researcher at the Institute for Advanced Studies Vienna and as a Research Assistant at various academic institutions across Europe.

🔬 Research Interests:

His research interests include the governance of technology and innovation in urban settings, urban sustainability, and the societal impacts of technological infrastructures. He is particularly interested in advancing multimodal and multispecies urbanism and promoting inclusivity and resilience in urban environments.

🏆 Awards:

Pouya Sepehr is an elected council member of 4S (Society for Social Studies of Science), recognizing his contributions to the field of Science and Technology Studies (STS).

Publications

Sepehr, Pouya. (2024). Mundane Urban Governance and AI Oversight: The Case of Vienna’s Intelligent Pedestrian Traffic Lights. Journal of Urban Technology, 31(1).

Felt, Ulrike, and Pouya Sepehr. (2024). Infrastructuring Citizenry in Smart City Vienna: Investigating Participatory Smartification between Policy and Practice. Journal of Responsible Innovation, 11(2).

Sepehr, Pouya and Ulrike Felt. (2023). Urban Imaginaries as Tacit Governing Devices: The Case of Smart City Vienna. Science, Technology, & Human Values, 48(9).

 

Joseph Arhavbarien | Green Operations | Best Researcher Award

Posted on by sciencefather

Dr. Joseph Arhavbarien | Green Operations | Best Researcher Award

Director / Researcher, Rockedge Ventures (UK) Ltd, United Kingdom

🌱📊 Dr. Joseph Arhavbarien is an accomplished researcher with a Ph.D. in Business and Management from the University of Bedfordshire, UK. With over three decades of industrial experience, he focuses on green processes, sustainable operations, and supply chain management. Transitioning to academia, he combines his rich industrial background with his academic expertise to teach and conduct research, applying quantitative techniques to explore green value internalisation.

Profile

ORCID

📚 Education:

🎓 Dr. Arhavbarien holds a Ph.D. in Business and Management from the University of Bedfordshire (2023). He earned his MBA in International Business from the University of East London (2015) and a B.Sc. (Hons) in Microbiology from the University of Lagos, Nigeria (1989). Additionally, he has a Certificate in Agile Project Management from the University of Oxford (2023).

💼 Experience:

💼 Dr. Arhavbarien’s diverse professional journey includes roles in retail, manufacturing, logistics, and consultancy. Notably, he has worked with Tesco, Morrisons, Gosh Food Ltd, and FedEx, where he led teams, managed operations, and drove continuous improvement initiatives. His expertise spans statistical analysis, project management, and sustainable business practices.

🔬 Research Interests:

🔍📈 Dr. Arhavbarien’s research interests are centered on green value internalisation, sustainable operations, and supply chain resilience. He employs quantitative methods and tools like Qualtrics and SPSS/AMOS to analyze data, aiming to develop green criteria for stakeholder engagement and enhance eco-efficiency in industrial operations.

🏆 Awards:

🏆 Dr. Arhavbarien has been recognized for his academic and professional contributions. A notable achievement includes guiding an M.Sc. student to win the 2023 Logistics Research Network CILT (UK)’s MSc Dissertation of the Year award, reflecting his ability to inspire and mentor students.

Publications

📚 “An investigation of antecedents and consequences of green value internalisation among sampled UK enterprises” – Journal of Environmental Management, 2024

📄 “An examination of antecedents of green value internalisation for firm-level supply chain collaboration” – British Academy of Management (BAM) 2022 Conference, Alliance Manchester Business School, UK.

📄 “Green supply chain management: an investigation of firm-level antecedents of green value internalisation” – 29th European Operations Management Association (EurOMA) Conference, Berlin, Germany, 2022.📄 “An investigation of firm-level antecedents of green value internalisation for Upstream-Downstream supply chain interactions” – 32nd Production and Operations Management Society (POMS) Conference (online), 2022.

Ali Raza | artificial intelligence | Best Researcher Award

Posted on by sciencefather

Mr. Ali Raza | artificial intelligence | Best Researcher Award

Lecturer, The University of Lahore, Pakistan

Ali Raza is a dedicated research scholar specializing in data science, known for his expertise in machine learning and deep learning applications. With a strong academic background and extensive professional experience in software development, he has contributed significantly to research in artificial intelligence and health informatics.

Profile

Google Scholar

📚 Education:

Ali completed his Bachelor of Science in Computer Science at KFUEIT after graduating from Iqra Degree College with a degree in Pre-Engineering. He further pursued his passion for computer science by earning a Master’s degree in Computer Science from KFUEIT, where his research focused on novel approaches in deep learning for image detection.

💼 Experience:

Ali’s professional journey includes roles as a Research Assistant at KFUEIT, where he published research articles on artificial intelligence. He has also worked as a Desktop App Developer at DexDevs Company and as a Full Stack Python Developer at BuiltinSoft Company, gaining expertise in business application development and machine learning frameworks.

🔬 Research Interests:

Ali’s research interests revolve around data science, particularly in machine learning model optimization, health informatics, and artificial intelligence applications in diverse domains such as pregnancy health analysis and network security.

🏆 Awards:

Ali has contributed significantly to research, evident from his publications and contributions as a peer reviewer for IEEE Access and PLOS ONE, highlighting his recognition in the academic community.

📄 Publications:

Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction, Plos one, 2022 (cited 46 times)

A novel deep learning approach for deepfake image detection, Applied Sciences, 2022 (cited 58 times)

Predicting employee attrition using machine learning approaches, Applied Sciences, 2022 (cited 44 times)

A novel methodology for human kinematics motion detection based on smartphones sensor data using artificial intelligence, Technologies, 2023 (cited 23 times)

Novel class probability features for optimizing network attack detection with machine learning, IEEE Access, 2023

Bablu Karan | Education | Best Researcher Award

Posted on by sciencefather

Dr. Bablu Karan | Education | Best Researcher Award

PhD in Education, Central University of Gujarat, India

Dr. Bablu Karan is a dedicated educator and researcher at the Central University of Gujarat, Gandhinagar, specializing in educational technology and curriculum studies. His work focuses on integrating artificial intelligence into secondary education in India, aiming to enhance teaching and learning experiences.

Profile

Google Scholar

📚 Education:

Dr. Bablu Karan holds a PhD in Education from the Central University of Gujarat, Gandhinagar. He earned his M.Ed. from Visva-Bharati University, Santiniketan, and a B.Ed. from RIE-NCERT, Bhubaneswar. He also holds an M.A. in English from Ravenshaw University and a B.A. in English Hons from Vidyasagar University.

👨‍🏫 Experience:

Dr. Bablu Karan has extensive experience in educational research and policy formulation. His professional journey includes significant contributions to understanding AI in education, educational policies, and curriculum studies.

🔍 Research Interests:

Dr. Bablu Karan’s research interests span educational technology, AI in education (AIED), ICT, educational policies, curriculum studies, and language education. He is particularly interested in how these areas intersect to improve educational outcomes in diverse contexts.

🏆 Awards:

Recipient of the Best Researcher Award, Dr. Bablu Karan is recognized for his pioneering research in integrating AI into school education and his contributions to educational policy and curriculum development in India.

Publications:

Artificial Intelligence Integration into School Education: A Review of Indian and Foreign Perspectives (2023, Millennial Asia) – Cited by 6

Potential Risks of Artificial Intelligence Integration into School Education: A Systematic Review (2023, Bulletin of Science, Technology & Society) – Cited by 4

Enhancing Women Education in India: An Immense Challenge Towards Effective Human Rights (2017, International Education & Research Journal) – Cited by 2

Promoting Gender Equality in Classroom Teaching and Learning in Indian Context: Issues and Challenges (2017, International Journal of Multidisciplinary Approach & Studies) – Cited by 1

Integration of artificial intelligence by the Central Board of Secondary Education in India: towards innovative teaching and learning practices (2024, Technology, Pedagogy and Education)

JAINUL FATHIMA | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

Dr. JAINUL FATHIMA | Artificial Intelligence | Best Researcher Award

Associate Professor, Francis Xavier Engineering College, India

📘 Dr. A. Jainul Fathima, B.Tech., M.E., Ph.D., is an innovative professor with a strong passion for fostering academic development and success for every student. With 12 years of combined experience in teaching, research, and industry, she excels in implementing technology-based curriculum delivery and assessment tools.

Profile

Scopus

Education🎓

Dr. Fathima holds a Ph.D. in Computational Drug Discovery from Kalasalingam Academy of Research and Education, where her interdisciplinary research focused on developing anti-viral drugs for dengue targets using AI techniques. She earned her M.E. in Computer Science and Engineering from Anna University with an 83% aggregate and a B.Tech. in Information Technology from Anna University with a 75% aggregate.

Experience 🛠️

👩‍🏫 With 12 years of total experience, Dr. Fathima has 6 years of teaching experience, currently serving as an Assistant Professor at Francis Xavier Engineering College. She has previously worked at K.L.N. College of Information Technology, Sethu Institute of Technology, and Kalasalingam University. Her research experience includes 3 years as a UGC Research Fellow and 2 years of teaching and instructing in Qatar. She also has 1 year of industrial experience as a Research Assistant in Computer-Aided Drug Design.

Research Interests 🔍

🔬 Dr. Fathima’s research interests are in the areas of computational drug discovery, machine learning, artificial intelligence, and bioinformatics. Her work focuses on applying advanced computational techniques to predict protein interactions and develop therapeutic solutions for diseases like dengue and Alzheimer’s.

Awards 🏆

🏆 Dr. Fathima has received several accolades, including the “Research Associate Award” from the Anti-viral Research Society in 2022, “Best Paper Award” at INCODS ’17 and NCAC ’09, and the “Outstanding Student Award” from Mepco Schlenk Engineering College.

Publications 📚

A comprehensive review on heart disease prognostication using different artificial intelligence algorithms, Computer Methods in Biomechanics and Biomedical Engineering, February 2024. Cited by 1.5

Alzheimer’s Patients Detection using Support Vector Machine (SVM) with Quantitative Analysis, Neuroscience Informatics, 2021. Cited by 0.5

IoT-Based Intelligent System for Garbage Level Monitoring in Smart Cities, International Conference on IoT, Communication and Automation Technology, 2023. Scopus Indexed

Intelligent Deep Learning Framework for Breast Cancer Prediction using Feature Ensemble Learning, IEEE Global Conference for Advancement in Technology, 2023. Scopus Indexed

Compressing Biosignal for diagnosing chronic diseases, Journal of Physics: Conference Series, 2021. Scopus Indexed

 

 

Zhiping Liu | Human-Computer Interaction | Best Researcher Award

Posted on by sciencefather

Mr. Zhiping Liu | Human-Computer Interaction | Best Researcher Award

Researcher, Zibo Comprehensive Bonded Zone Development Service Center, China

Zhiping Liu is a dedicated researcher at the Zibo Comprehensive Bonded Zone Development Service Center in Zibo, Shandong Province, China. With a multifaceted background that spans Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, Zhiping brings a rich blend of theoretical knowledge and practical expertise to his work. He focuses on enhancing digital user experiences through innovative interface designs, integrating both aesthetic and functional elements.

Profile

ORCID

Education 🎓

Zhiping Liu holds a Master’s degree in Industrial Design Engineering from the Mechanical College of Shandong University. His academic journey has provided him with a robust foundation in various disciplines, including Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, equipping him with the skills needed to excel in the field of digital interface design.

Experience 🛠️

Zhiping’s professional experience is marked by his involvement in various research and consultancy projects at the Zibo Comprehensive Bonded Zone Development Service Center. He has played a pivotal role in optimizing digital interfaces, leveraging his expertise to improve user satisfaction and interface efficiency. His work often involves the integration of the Analytic Hierarchy Process with visual design elements, aiming to create more intuitive and effective digital solutions.

Research Interests 🔍

Zhiping Liu’s research interests lie in digital interface design, user experience optimization, and the integration of aesthetic and functional aspects in digital products. His innovative approach involves using the Analytic Hierarchy Process to enhance visual design elements, thereby improving the overall efficiency and user satisfaction of digital interfaces. He is keen on exploring new methodologies that bridge the gap between subjective aesthetic judgments and objective usability metrics.

Awards 🏆

Zhiping Liu has made notable contributions to the field of digital interface design, earning recognition for his innovative research methods. His work on integrating the Analytic Hierarchy Process with visual design principles has been particularly impactful, offering a structured approach to optimizing digital interfaces. Through his research, Zhiping has provided valuable insights and advancements that have significantly improved the field’s understanding and application of digital design principles.

Publications 📚

Liu, Z., “Integrating Analytic Hierarchy Process with Visual Design Elements,” International Journal of Human-Computer Interaction, 2023. [Cited by: 12 articles]

Liu, Z., “Optimizing User Experience through Digital Interface Design,” Journal of Digital Design, 2022. [Cited by: 8 articles]

Liu, Z., “Aesthetic and Functional Integration in Digital Products,” Design Science Journal, 2021. [Cited by: 10 articles]

Agostino Giorgio | Engineering | Best Researcher Award

Posted on by sciencefather

Assist Prof Dr. Agostino Giorgio | Engineering | Best Researcher Award

Researcher and Assistant Professor, Politecnico di Bari, Italy

Agostino Giorgio, a distinguished Researcher and Assistant Professor at Politecnico di Bari, Italy, holds a Ph.D. in Electronics Engineering and leads the Digital Electronics Lab since 2020. Born in Bari, Italy, in 1969, his career spans pivotal advancements in embedded systems, FPGA implementations, AI applications, nanoelectronics, and quantum computing. His innovative contributions extend to telemedicine, home care, and personal safety electronics.

Profile

Scopus

Education📚

Agostino Giorgio completed his Laurea degree with honors in Electronic Engineering from the Polytechnic of Bari in 1994, followed by a Ph.D. in Electronics Engineering in 1998. His academic journey laid the foundation for his extensive research and teaching career.

Experience 💼

Since 1998, Agostino Giorgio has served as a Researcher and Assistant Professor at Politecnico di Bari, where he pioneers research in digital electronics and its applications. He has spearheaded numerous projects and collaborations, notably with the National Institute of Nuclear Physics and AstraZeneca, contributing significantly to fields like particle accelerators for tumor therapy and telemonitoring systems for heart failure.

Research Interests 🔬

Agostino Giorgio’s research interests encompass embedded systems, FPGA design, AI implementation on microcontrollers, quantum computing, and digital electronics for telemedicine and home care applications. His work focuses on advancing technology’s role in enhancing healthcare and safety systems.

Awards 🏆

Agostino Giorgio has earned acclaim for his research contributions, including his nomination for the Best Researcher Award, recognizing his innovations in AI-driven personal safety devices and quantum computing emulation.

Publications

IEEE Access (2024): “Project and Implementation of a Quantum Logic Gate Emulator on FPGA Using a Model-Based Design Approach” – cited by 0 articles.

Journal of Low Power Electronics and Applications (2023): “FPGA-Based Decision Support System for ECG Analysis” – cited by 7 articles.

International Journal of Biomedical Engineering and Technology (2023): “Artificial intelligence methods for image classification applied to biological sounds for the early diagnosis of cardiorespiratory pathologies and COVID-19 infection” – cited by 0 articles.

MUHAMMAD TOSEEF | Numerical Analysis | Best Researcher Award

Posted on by sciencefather

Mr. MUHAMMAD TOSEEF | Numerical Analysis | Best Researcher Award

PhD student, Nanjing Normal University China

Muhammad Toseef is a dedicated mathematician from Pakistan, who has made significant contributions to the field of mathematics. He completed his BS Mathematics in 2018 and his Masters of Philosophy in Mathematics in 2021. He is currently a Senior Mathematics Teacher at The Punjab School Lahore. With a strong academic background and a passion for research, Toseef has published multiple impact factor research papers and attended various international conferences and workshops.

Profile

Google Scholar

Education 🎓

Muhammad Toseef holds a Master of Philosophy in Mathematics from Government College University, Lahore, with a CGPA of 3.20, completed in 2020. He earned his Bachelor of Science in Mathematics from Government College University, Faisalabad, in 2018 with a CGPA of 3.62. Prior to his university education, he completed his Intermediate in Computer Science (ICS) from BISE Sahiwal and Matriculation in Science from BISE Multan.

Experience 👨‍🏫

Toseef began his teaching career at Bright Grammar School, Lahore, as a Mathematics Teacher from December 2018 to August 2019. He then advanced to become a Senior Mathematics Teacher at The Punjab School Lahore, a position he has held since August 2019.

Research Interests 🔬

His research interests include Integral Inequalities, Quantum Calculus and its Applications, Mathematical Inequalities and Convex Functions, Soliton Solutions of Partial Differential Equations, and Numerical Solutions of Degenerate PDEs. His work in these areas has led to several impactful publications and conference presentations.

Awards 🏆

Toseef has received several awards and honors, including the PEEF Scholarship for both his BS and MS levels from the Punjab Government. He was also awarded a laptop under the Chief Minister Laptop Scheme, recognizing his academic excellence.

Publications 📚

Kashuri, A., Ali, M. A., Abbas, M., & Toseef, M. (2021). Some inequalities for generalized convex functions pertaining generalized fractional integral operators and their applications. Journal of Applied Mathematics, Statistics and Informatics, 17, 2419. (IF=0.40) Link

Ali, W., Asjad, M. I., Toseef, M., & Amjad, T. (2022). Analysis of propagating wave structures of the cold bosonic atoms in a zig-zag optical lattice via comparison with two different analytical. Optical and Quantum Electronics. (IF=2.78) Link

Toseef, M., Zhang, Z., & Ali, M. A. (Revised). On q-Hermite-Hadamard-Mercer and midpoint Mercer type Inequalities for Generalized convex functions and their computational analysis. Journal of Computational and Applied Mathematics. (IF=2.99) Link

Zhan, X., Mateen, A., Toseef, M., & Ali, M. A. (Revised). Some Simpson’s and Ostrowski’s Type Integral Inequalities for Generalized Convex Functions in Multiplicative Calculus With Their Computational Analysis. MDPI, Mathematics. Link

Toseef, M., Zhang, Z., & Ali, M. A. (Submitted). Refinement of Jensen Inequality and Hermite-Hadamard-Mercer Type Inequalities for coordinated convex functions with their applications. Rockey Mountain Journal of Mathematics. Link

Danyal Aghajani | Supply Chain Management | Best Researcher Award

Posted on by sciencefather

Mr. Danyal Aghajani | Supply Chain Management | Best Researcher Award

Ph.D. student/Junior researcher, Lappeenranta University of Technology, Finland

Danyal Aghajani is a dedicated Ph.D. student at Lappeenranta University of Technology with a profound interest in optimization, uncertainty programming, and supply chain modeling. He holds a Master’s degree in Industrial Engineering from Iran University of Science and Technology and a Bachelor’s degree in the same field from Islamic Azad University. His career spans various teaching, research, and industry roles, reflecting a robust blend of academic prowess and practical expertise.

Profile

Google Scholar

 

💼 Experience:

His diverse experience includes teaching Quantitative Models and Methods in Logistics and mentoring case study courses. In industry, he serves as a human resource manager and has previously worked in project control management and engineering departments. His voluntary work includes contributions to Mahak, a charity supporting children with cancer.

🔬 Research Interests:

Danyal’s research interests span optimization in mathematical programming, uncertainty programming (robust, fuzzy, and stochastic), data science, machine learning, and supply chain modeling in energy and food sectors. He is particularly focused on decision-making under uncertainty and sustainable supply chain design.

🏆 Awards:

He ranked in the top 1% in the Master’s degree National University Entrance Examination among over 10,000 participants, earning a full scholarship in 2016. Additionally, he secured the second rank in a memorizing competition in Tehran in 2010.

Publications

📄 A Sustainable Integrated Model for Multi-Objective Planning of an Agri-Food Supply Chain under Uncertain Parameters: A Case Study – Accepted at Computers and Chemical Engineering, cited by 5 articles.

📄 A Review of Digital Platform and Circular Economy: Opportunities and Challenges for Developing Countries – Accepted at Taylor & Francis, 2023, cited by 3 articles.

📄 AI Implementation in Innovation Processes: An Uncertainty Perspective – In progress, expected publication in 2024.

📄 A Circular Data-Driven Mathematical Model for Multi-Objective Agri-Food Supply Chain Design Considering GIS Method: Stevia – In progress.📄 A Hybrid Sustainable Biomass Supply Chain Design Using ML Algorithms, GIS Methods, and Robust Modeling – In progress.

Lin Song | Marine Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Lin Song | Marine Engineering | Best Researcher Award

Assoc Prof, Tianjin Ren’ai College, China

Lin Song is an Associate Professor of Marine Engineering at Tianjin Ren’ai College. With a strong background in fluid dynamics and marine engineering, she has significantly contributed to high-speed ship technology and marine structures. Dr. Song is an active member of the Chinese Society of Higher Education and the International Association of Ocean Engineers. Her innovative research and numerous publications have established her as a leading figure in her field.

Profile

Scopus

🎓 Education:

Dr. Lin Song earned her doctorate in Marine Engineering from Tianjin University. Her academic journey laid a solid foundation in marine structures, fluid dynamics, and advanced ship technology.

💼 Experience:

Dr. Song has over a decade of experience in marine engineering, focusing on innovative methods for wind load estimation and multi-source factor analysis for LNG storage tanks. She has played a crucial role in both academic research and industry projects.

🔬 Research Interests:

Dr. Song’s research interests encompass fluid dynamics, marine engineering structures, high-speed ship technology, and multiple floating bodies. Her work often integrates cutting-edge simulation technologies to enhance marine engineering education.

🏆 Awards:

Dr. Song has been recognized for her exceptional contributions to marine engineering with several awards, including institutional and industry accolades for her innovative research projects and publications.

Publications

“An Experimental Study on the Resistance of a High-Speed Air Cavity Craft”
Journal of Marine Science and Engineering, 2023.
“A Hybrid Multi-Criteria Decision-Making Framework for Offshore Wind Turbine Selection: A Case Study in China” Applied Energy, 2022.