Milan Petrovic | Thermal Turbomachinery | Industry Innovation Research Award

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Prof. Milan Petrovic | Thermal Turbomachinery | Industry Innovation Research Award

Milan Petrovic at University of Belgrade -Faculty of Mechanical Engineering, Serbia.

Prof. Milan V. Petrovic is a leading Serbian expert in thermal turbomachinery and gas turbine technology. With advanced academic training from both Serbia and Germany, he has developed an international research profile focused on optimization and modeling of turbine performance. At the University of Belgrade, he directs a laboratory that fosters innovation in energy conversion systems and collaborates with global research entities. His scholarly contributions have significantly influenced the fields of turbine aerodynamics, computational fluid dynamics, and thermal power plant modernization.

Publication Profile

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Education

Prof. Milan V. Petrovic earned his Dipl. Ing. degree in Mechanical Engineering from the University of Belgrade, Serbia. He subsequently completed his Ph.D. in Thermal Turbomachinery at the University of Hanover, Germany, in 1995, focusing on advanced modeling techniques for turbine optimization and fluid dynamics.

Professional Experience

Prof. Petrovic is a Full Professor of Thermal Turbomachinery at the University of Belgrade, where he leads the Laboratory of Thermal Turbomachinery. He has over 25 years of academic and research experience in the design, analysis, and optimization of thermal turbomachinery systems. His work bridges theoretical modeling and practical application, contributing extensively to energy systems, gas turbine engineering, and flow optimization. He has also served as a reviewer and contributor for multiple international conference proceedings and journals in mechanical and aerospace engineering.

Research Interests

  • Thermal Turbomachinery

  • Multistage Turbine Optimization

  • Gas and Steam Turbine Systems

  • CFD Modeling and Through-Flow Calculations

  • Axial Compressors and Shock Loss Prediction

  • Energy System Reconstruction and Efficiency Improvement

  • Combined Cycle Power Plant Integration

📊 Author Metrics 

  • Citations: 50+ (approximate based on available records)

  • Notable Co-authors: G.S. Dulikravich, A. Wiedermann, D. Tucakovic

  • Academic Presence: ASME Turbo Expo Contributor, Applied Thermal Engineering Journal Author

Top Noted Publication

  • Optimization of Multistage Turbines Using a Through-Flow Code
    MV Petrovic, GS Dulikravich, TJ Martin
    Turbo Expo: Power for Land, Sea, and Air, 2000
    Citations: 14

  • Possibilities for Reconstruction of Existing Steam Boilers for the Purpose of Using Exhaust Gases from 14 MW or 17 MW Gas Turbine
    D Tucakovic, G Stupar, T Zivanovic, M Petrovic, S Belosevic
    Applied Thermal Engineering, 2013
    Citations: 13

  • Through-Flow Modeling of Single- and Two-Shaft Gas Turbines at Wide Operating Range
    A Wiedermann, MV Petrovic
    Turbo Expo, 2018
    Citations: 9

  • Multistage Axial Compressor Flow Field Predictions Using CFD and Through-Flow Calculations
    M Banjac, MV Petrovic, A Wiedermann
    Turbo Expo, 2016
    Citations: 9

  • A Comprehensive Analytical Shock Loss Model for Axial Compressor Cascades
    M Banjac, T Savanovic, D Petkovic, MV Petrovic
    Journal of Turbomachinery, 2022
    Citations: 8

Conclusion 

Prof. Milan V. Petrovic is a highly suitable candidate for the Industry Innovation Research Award, given his robust contributions to thermal turbomachinery, energy systems optimization, and applied engineering research. His leadership, technical depth, and ongoing engagement in real-world energy solutions position him as a valuable innovator in thermal power and turbine design. While expanding industry partnerships and translational outputs could enhance his candidacy, his current academic and applied contributions already meet key award benchmarks.

Georgina Barton | Education | Best Researcher Award

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Prof. Georgina Barton | Education | Best Researcher Award

Professor at University of Southern Queensland, Australia.

Prof. Georgina Barton is a renowned Australian educator and researcher in literacy, arts education, and pedagogical innovation. With a career that bridges classroom teaching, higher education leadership, and national-level literacy consultancy, she is recognized for her strategic influence on teacher education and her commitment to reflective and culturally responsive teaching. A Principal Fellow of the Higher Education Academy and accomplished violinist, she brings interdisciplinary depth to her scholarship. Prof. Barton has led major initiatives in research mentorship and curriculum reform while publishing extensively in top-tier education journals.

Publication Profile

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Education

MBA in Arts Innovation, The Global Leaders Institute, 2023
– Completed Harvard Adaptive Leadership program (avg. score: 98%)

Principal Fellow (PFHEA), Higher Education Academy, 2020
– Highest recognition under UK Professional Standards Framework

Graduate Certificate in Higher Education, Griffith University, 2016
– Vice-Chancellor’s Teaching Bursary Award

Ph.D. in Education and Musicology, Queensland University of Technology, 2004
– Australian Postgraduate Award (APA) recipient

Bachelor of Arts, University of Queensland, 1993
– Majors: English Literature and Music

Diploma of Teaching, Brisbane College of Advanced Education, 1989
– Qualified in Secondary English and Music

AMEB Certifications: AMusA (Violin), 7th Grade Piano, 6th Grade Theory of Music

Professional Experience

Prof. Georgina Barton is a Professor (Level E) at the University of Southern Queensland’s School of Education. She has served in various leadership roles, including Acting Head of School, Deputy Head, and Associate Head of Research. Previously, she was an Associate Professor and Program Director at USQ and a Senior Lecturer and Lecturer at Griffith University, where she led English and Literacy Education programs. She also held a Post-Doctoral Fellowship at the University of Queensland and has over two decades of teaching experience across primary and secondary schools in Queensland.

Her leadership extends to large-scale academic administration, accreditation of teacher education programs (serving over 4,000 students), curriculum development, and mentoring early and mid-career researchers. She has led numerous research groups, including the Phoenix Writers and Learning Innovation and Excellence cluster. Her contributions include literacy consultancy in school systems and professional development in arts education.

Research Interests

Literacy Education & Multimodal Literacies

Arts and Arts-Based Research

Reflective Practice and Teacher Professional Learning

Curriculum Innovation & Pedagogy in Teacher Education

Compassion in Education & Social Justice

Interdisciplinary Approaches in Education Research

Author Metrics 

Publications: 100+ scholarly outputs (journal articles, book chapters, edited volumes)

Top Journals: Australian Journal of Language and Literacy, Literacy Learning: The Middle Years, and others

h-index: ~15–20 (Google Scholar estimated)

Citations: 1,000+

Supervision: Multiple Ph.D. and M.Ed. candidates

Leadership: Led writing groups producing over 70 Q1 articles in 4 years

Top Noted Publication

1. The importance of aesthetics in workplace environments: an investigation into employees’ satisfaction, feelings of safety and comfort in a university

Authors: G. Barton, A.H. Le
Journal: Facilities
Volume/Issue: Vol. 41, No. 13/14
Pages: 957–969
Year: 2023
Citations: 11
Abstract Summary:
This study explores how aesthetics in university workplaces affect employees’ satisfaction, comfort, and perceptions of safety. Findings suggest a significant relationship between aesthetically pleasing environments and improved well-being and productivity.

2. A survey of middle years students’ perceptions of aesthetic literacies, their importance and inclusion in curriculum and the workforce

Authors: G. Barton, A.H. Le
Journal: The Australian Journal of Language and Literacy
Volume/Issue: Vol. 45, No. 1
Pages: 71–84
Year: 2022
Citations: 11
Abstract Summary:
This paper reports on middle school students’ views regarding aesthetic literacies and how these are (or should be) reflected in school curricula and future workplaces. Students expressed a desire for greater inclusion of the arts in education.

3. Workplace experience of international students

Author: G. Barton
Journal: Journal of International Students
Volume/Issue: Vol. 10, No. 2
Page: 218
Year: 2020
Citations: 11
Abstract Summary:
This article investigates international students’ experiences in Australian workplaces during their studies, highlighting challenges such as cultural adjustment, communication, and discrimination, as well as positive impacts on employability and integration.

4. Adolescent learners and reading: Exploring a collaborative, community approach

Authors: G. Barton, L. McKay
Journal: The Australian Journal of Language and Literacy
Volume/Issue: Vol. 39, No. 2
Pages: 162–175
Year: 2016
Citations: 11
Abstract Summary:
This paper presents a case study on using a community-based approach to support adolescent reading engagement and development, emphasizing collaboration among schools, families, and communities.

5. Reflective practice in music: A collaborative professional approach

Author: G. Barton
Book Chapter: Teaching Reflective Learning in Higher Education: A Systematic Approach Using Pedagogic Patterns
Pages: [Not specified]
Year: 2014
Citations: 11
Abstract Summary:
The chapter discusses how reflective practices can enhance music educators’ professional development. Using collaborative models, it demonstrates strategies for integrating reflective learning into music education settings.

Conclusion 

Prof. Georgina Barton is an outstanding candidate for the Research for Best Researcher Award in Education. Her scholarly leadership, interdisciplinary innovation, and dedication to reflective and compassionate pedagogy underscore a career of sustained excellence. With her impressive publication record, transformative influence on teacher education, and commitment to mentoring the next generation, she exemplifies the qualities this award seeks to honor.

Judit Martínez Martín | Education and Architecture | Best Researcher Award

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Dr. Judit Martínez Martín | Education and Architecture | Best Researcher Award

Judit Martínez Martín at IES Príncipe Felipe, Comunidad de Madrid, and San Pablo CEU University, Spain.

Dr. Judit Martínez Martín is a Spanish architect and educator passionate about educational transformation and creative learning environments. With a Ph.D. in Education and a strong background in architecture, she bridges the worlds of design and pedagogy. She is recognized for her leadership in educational innovation, particularly in gifted education and the integration of STEAM methodologies. A committed mentor and lifelong learner, Dr. Martínez Martín continues to inspire future educators and students alike through her university teaching, research projects, and creative educational initiatives.

Publication Profile

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Education

  • Ph.D. in Education, Universidad Nacional de Educación a Distancia (UNED), Spain (2013–2016)

    • Awarded Extraordinary Doctorate Award (2015–2016)

  • Architect, Escuela Técnica Superior de Arquitectura de Madrid, Universidad Politécnica de Madrid (1996–2002)

  • Master’s Degree in Management, Innovation, and Leadership of Educational Institutions, Universidad Camilo José Cela (2020–2021)

  • International Baccalaureate (IB) Certificate in Educational Leadership (2020–2021)

Professional Experience:

Dr. Judit Martínez Martín is a multidisciplinary educator, architect, and researcher with a broad and rich professional trajectory spanning over 20 years. She currently serves as a Professor of Arts at IES Príncipe Felipe and has been actively involved in university-level instruction as a faculty member at Universidad CEU San Pablo since 2018. Her teaching portfolio includes courses in artistic drawing, visual arts, design, and technology for both secondary and higher education, including the International Baccalaureate (IB) program.

She has held leadership roles such as Coordinator of Technological Innovation and Director of the IDEA Classroom for gifted students at CEU San Pablo Sanchinarro. Her coordination work extends to creativity-focused educational initiatives and extracurricular programs through the CYGNUS Scout-inspired youth group.

Previously, Dr. Martínez Martín worked with the Solar Decathlon Europe competition, overseeing public events and educational outreach activities in sustainable architecture. She was also part of the TISE Research Group at the Universidad Politécnica de Madrid, contributing to research on intelligent building envelopes and sustainable housing industrialization.

She has contributed significantly to education-focused innovation projects with institutions such as the Fundación Botín, where she led the development of ReflejArte, an art-based socio-emotional learning resource. Additionally, she has delivered teacher training workshops on active methodologies through the Red de Formación de Profesorado de la Comunidad de Madrid.

Research Interests

  • Education and Architecture

  • Active Learning Methodologies (PBL, Flipped Classroom, Gamification)

  • Educational Innovation and Technology

  • Gifted Education (Altas Capacidades)

  • Metacognition and Creativity

  • STEAM Education

  • Urban Pedagogy and Sustainable Design in Education

Top Noted Publication

STEAM Architecture—A STEAM Project for Pre-University Studies to Connect the Curricula with Architectural Concepts, Education Sciences (2024)

  • DOI: 10.3390/educsci14121348

  • Dart4City: Manual de Profesores

  • Educación para la arquitectura. Diseño de un programa de formación para adolescentes… (Tesis, Journal Article)

Conclusion

Dr. Judit Martínez Martín is a highly deserving nominee for the Research for Best Researcher Award, especially within the themes of STEAM Education, Educational Architecture, and Pedagogical Innovation. Her work is not only grounded in rigorous academic practice but also creates tangible impact in classrooms, curricula, and communities. With a clear commitment to shaping future-ready learners through creative, sustainable, and inclusive methodologies, Dr. Martínez Martín exemplifies the values of research excellence, mentorship, and interdisciplinary relevance.

 

Kaan Koçali | Occupational Health and Safety | Best Researcher Award

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Assist. Prof. Dr. Kaan Koçali | Occupational Health and Safety | Best Researcher Award

Kaan Koçali at Occupational Health and Safety, Turkey.

Dr. Kaan Koçali is an esteemed academic specializing in occupational health and safety, with a particular focus on hazardous industries such as mining. Currently serving as an Assistant Professor at Istanbul Gelişim University, he has made significant contributions to the field through his research, teaching, and leadership roles. Dr. Koçali’s work encompasses risk assessment methodologies, occupational diseases, and the development of proactive safety performance indicators. His interdisciplinary approach integrates technological tools like data analytics and simulation models to enhance real-time decision-making and compliance in workplace safety practices.

Publication Profile

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Education

  • Ph.D. in Occupational Health and Safety, Istanbul Aydın University, Institute of Graduate Education (2021)
    Thesis: Legal Responsibilities of Permanent Supervisors Working in Mines within the Framework of Laws No. 3213 and 6331 and the Development of a Certification Monitoring-Control System
    Advisor: Reşit Erçetin

  • M.Sc. in Mining Engineering (Thesis-based), Istanbul University, Graduate School of Science (2016)
    Thesis: Investigation of the Effects of Boron Compounds on Solar Energy Panels
    Advisor: Prof. Dr. Şafak Gökhan Özkan

  • M.Sc. in Occupational Health and Safety (Non-thesis), Istanbul Aydın University, Graduate School of Science (2016)

  • B.Sc. in Mining Engineering, Istanbul University, Faculty of Engineering (2011)

  • B.Sc. in Business Administration, Anadolu University, Faculty of Business (2022)

  • B.Sc. in Entrepreneurship (Full Scholarship), Istanbul Kültür University, Faculty of Economics and Administrative Sciences (Expected graduation: Jan 2025)

Professional Experience:

Dr. Koçali has held various academic and administrative positions, including serving as the Program Head and Department Chair of the Occupational Health and Safety Program at Istanbul Gelişim University. He has also been involved in international collaborations, participating in Erasmus+ Staff Mobility programs in Germany and North Macedonia. His professional experience extends to leading and contributing to numerous national and international research projects supported by organizations such as TÜBİTAK, KOSGEB, and the European Union.

Academic Appointments

  • Assistant Professor, Istanbul Gelişim University
    Department of Occupational Health and Safety, since 31 August 2021

  • Visiting Scholar,

    • Smart Leap – Education Research Consultancy GmbH, Düsseldorf, Germany (Erasmus+ Training Mobility, May 2024)

    • Megunaroden Slavjanski Universitet, Faculty of Safety Engineering, Skopje, North Macedonia (Erasmus+ Training Mobility, May 2024)

Research Interests

  • Occupational health and safety (OHS) in mining

  • Industrial risk assessment and legal compliance

  • Ergonomics and anthropometric data in OHS

  • Mining technology and software development

  • REACH Directive implementation in chemical safety

Awards & Honors

  • Academic Research Impact Award, SHEN Conferences, India (2024)

  • Academic Performance Award – Unit Third Place, Istanbul Gelişim University (2024)

  • Best Researcher Award, Int’l Research Awards on Cybersecurity and Cryptography, India (2024)

  • Best Researcher Award, Int’l Research Awards on Science, Health, and Engineering, India (2023)

  • Top Researcher Award, International Conference on Cybersecurity and Cryptography, India (2024)

Author Metrics:

  • Publications: 54

  • Total Reads: 21,028

  • Citations: 123

  • H-Index: 7

  • i10-Index: 7

Top Noted Publication

1. Standardization of Social Security Institution’s Work Accident Indicators Between 2012–2020

  • Author: Kaan Koçali

  • Journal: Journal of Academic Approaches

  • Volume/Issue: 12(2), Pages 302–327

  • Publication Date: December 15, 2021

  • DOI: 10.54688/ayd.1012081

  • Citations: 15

  • Summary: This study analyzes occupational accident data from Turkey’s Social Security Institution between 2012 and 2020. It calculates and compares the frequency and severity rates of work accidents over the years, revealing a 347.25% increase in accident frequency and a 43.79% rise in severity. The research highlights that despite preventive measures, the incidence of work accidents has not decreased, emphasizing the need for more effective safety strategies.

2. Calculation of Occupational Accident Indicators of Türkiye

  • Author: Kaan Koçali

  • Book Chapter: INSAC Social and Education Sciences

  • Editors: Mehmet Dalkılıç, Betül Serbest Yılmaz

  • Publisher: Duvar Yayınları, İzmir

  • Pages: 222–250

  • Publication Year: 2021

  • Summary: This chapter presents a comprehensive analysis of occupational accident indicators in Turkey. Utilizing data from the Social Security Institution for the years 2012–2020, it calculates the frequency and severity rates of work accidents. The study provides insights into the trends and patterns of occupational accidents, serving as a valuable resource for policymakers and safety professionals.

3. Investigation of Occupational Health and Safety Culture and Practice in Open Pit Mining Enterprises with Worker Surveys

  • Author: Kaan Koçali

  • Journal: Scientific Mining Journal

  • Volume/Issue: 57(1), Pages 15–24

  • Publication Year: 2018

  • Summary: This research investigates the occupational health and safety culture in open-pit mining enterprises through worker surveys. It assesses the implementation of safety measures and the awareness levels among workers, identifying areas where safety practices can be improved to prevent accidents and enhance the overall safety culture in the mining sector.

4. Liability and Fault Rates in Mining Accidents

  • Author: Kaan Koçali

  • Publisher: Nobel Publishing Bookstore

  • Publication Year: 2021

  • Summary: This book delves into the legal aspects of mining accidents, focusing on the determination of liability and fault rates. It analyzes various case studies to understand the distribution of responsibility among different stakeholders in mining operations, providing a legal framework for addressing occupational accidents in the mining industry.

5. Recommendations on Non-Conformities in Coal Mining in Light of the Şırnak Coal Mine Accident

  • Author: Kaan Koçali

  • Conference: Türkiye 21st International Coal Congress (ICCET 2018)

  • Pages: 387–399

  • Publication Year: 2018

  • Summary: This conference paper examines the Şırnak coal mine accident, identifying non-conformities in coal mining practices that contributed to the incident. It offers recommendations to address these issues, aiming to improve safety standards and prevent similar accidents in the future.

Conclusion

Assist. Prof. Dr. Kaan Koçali presents a compelling case for the Best Researcher Award in Occupational Health and Safety. With a comprehensive portfolio that spans academic excellence, policy-relevant research, international collaboration, and leadership in high-risk sectors like mining, he clearly meets and exceeds the standards expected of a top-tier researcher in his field.

 

Sujeet Kumar | Double Sequence Spaces | Best Paper Award

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Mr. Sujeet Kumar | Double Sequence Spaces | Best Paper Award

Sujeet Kumar at Tripura University, India.

Prof. May El Barachi is a Canadian computer scientist and seasoned academic leader known for her transformative impact on education, research, and innovation. She is currently a Full Professor and Head of the School of Computer Science at the University of Wollongong in Dubai. Over her 15+ year career, she has secured over 5 million AED in research funding, published 110+ high-impact papers, and built a global network of collaborations across academia and industry. Her work bridges cutting-edge AI research with real-world applications in smart systems and sustainable development. A passionate advocate for diversity, inclusion, and lifelong learning, she holds a UAE Golden Visa and is fluent in English, Arabic, and French.

Publication Profile

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Education

  • Ph.D. in Computer Science, Concordia University, Montréal, Canada (2004–2009)
    Specialization: Next Generation Networks, Service Engineering, Network Intelligence and Adaptation

  • M.A.Sc. in Electrical and Computer Engineering, Concordia University, Montréal, Canada (2002–2004)
    Specialization: Web Services, IP Telephony, Multimedia Communications

  • B.Sc. in Electronics and Communication Engineering, Arab Academy for Science, Technology & Maritime Transport, Alexandria, Egypt (1995–2000)
    Graduated Valedictorian with Honors; Specialization in Object Recognition, Remote Sensing, and Neural Networks

Professional Experience

Prof. May El Barachi is a visionary academic leader and full professor of Computer Science with over 15 years of experience across the UAE, Canada, and Europe. She currently serves as the Head of the School of Computer Science at the University of Wollongong in Dubai (UOWD), where she has led transformational initiatives, including a 400% increase in enrollment, the development of innovative Master’s programs in AI and Cybersecurity, and the establishment of a widely recognized Executive Learning Program that has trained over 2,500 professionals.

Previously, she held the roles of Associate Dean of Research and Associate Professor at UOWD, where she restructured research clusters around Sustainable Development Goals, drove multi-million-dirham funding acquisition, and played a pivotal role in Ph.D. program development. At Zayed University, she served as Smart Lab Director and co-founder, pioneering research on smart cities and AI-driven systems, while also leading curriculum development and accreditation efforts. Her earlier experience includes postdoctoral research at the University of Quebec (ETS), and roles in industry-academic collaborations at Ericsson Canada and the Ambient Networks Project in Sweden, focusing on web services, context-aware networks, and next-generation telecom systems.

Research Interests

  • Artificial Intelligence and Machine Learning: including deep learning, computer vision, natural language processing (NLP), reinforcement learning, and ethical AI

  • Emerging Technologies & Applications: smart cities, smart healthcare systems, autonomous systems, and digital transformation

  • Next Generation Networks: context-aware networking, IoT integration, and cloud computing

  • Interdisciplinary Innovation: leveraging AI for societal challenges, particularly in sustainable development, cybersecurity, and educational technology

Top Noted Publication

1. Evaluating the Impact of COVID-19 on Multimodal Cargo Transport Performance: A Mixed-Method Study in the UAE Context

  • Authors: Rami Aljadiri, Balan Sundarakani, May El Barachi

  • Journal: Sustainability

  • Volume & Issue: 15(22)

  • Article Number: 15703

  • Publication Date: November 7, 2023

  • DOI: 10.3390/su152215703

  • Abstract: This study examines the challenges and opportunities of multimodal cargo transport in the UAE during the COVID-19 pandemic (2020–2022). Utilizing a mixed-method approach, the research involved qualitative interviews with five senior logistics executives and quantitative surveys with 120 participants. Findings indicate a significant relationship between geographical/geopolitical risks and increased shipping costs, emphasizing the need for secure and cost-effective multimodal solutions. The study offers insights for enhancing logistics performance in transit hubs during uncertain times.

2. E2DNE: Energy Efficient Dynamic Network Embedding in Virtualized Wireless Sensor Networks

  • Authors: Vahid Maleki Raee, Amin Ebrahimzadeh, Roch H. Glitho, May El Barachi, Fatna Belqasmi

  • Journal: IEEE Transactions on Green Communications and Networking

  • Volume & Issue: 7(3)

  • Pages: 1309–1325

  • Publication Year: 2023

  • DOI: 10.1109/TGCN.2023.3271230

  • Abstract: The paper introduces E2DNE, a novel approach for energy-efficient dynamic network embedding in virtualized wireless sensor networks (VWSNs). By optimizing resource allocation and reducing energy consumption, E2DNE enhances the performance and sustainability of VWSNs, making them more adaptable to varying network demands.

3. Secure Data Access Using Blockchain Technology Through IoT Cloud and Fabric Environment

  • Authors: Sangeeta Gupta, Premkumar Chithaluru, May El Barachi, Manoj Kumar

  • Journal: Security and Privacy

  • Publication Date: November 23, 2023

  • DOI: 10.1002/spy2.356

  • Abstract: This study addresses the challenges of secure data access in IoT environments by integrating blockchain technology with cloud computing. The proposed framework leverages the Hyperledger Fabric platform to ensure data integrity, confidentiality, and scalability, providing a robust solution for managing IoT data securely.

4. Combining Named Entity Recognition and Emotion Analysis of Tweets for Early Warning of Violent Actions

  • Authors: May El Barachi, Sujith Samuel Mathew, Manar AlKhatib

  • Conference: 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)

  • Publication Date: July 7–8, 2022

  • DOI: 10.23919/SpliTech55088.2022.9854231

  • Abstract: The paper presents a proactive framework that combines Named Entity Recognition (NER) and emotion analysis to detect early warning signs of potential violent actions from social media content. By analyzing tweets related to the 2020 US presidential election, the study demonstrates the framework’s effectiveness in identifying negative sentiments associated with specific entities, offering a tool for early intervention strategies.

5. A Green, Energy, and Trust-Aware Multi-Objective Cloud Coalition Formation Approach

  • Authors: Souad Hadjres, Fatna Belqasmi, May El Barachi, Nadjia Kara

  • Journal: Future Generation Computer Systems

  • Volume: 111

  • Pages: 52–67

  • Publication Date: October 2020

  • DOI: 10.1016/j.future.2020.04.030

  • Abstract: This research proposes a multi-objective approach for forming cloud coalitions that are energy-efficient and trust-aware. The algorithm considers factors like energy consumption, trust levels among providers, and service quality to form optimal coalitions. Experimental results show improvements in coalition size, provider payoff, and reduced mistrust costs, highlighting the approach’s potential for sustainable cloud computing.

Conclusion

Mr. Sujeet Kumar’s paper on Double Sequence Spaces is a strong contender for a Best Paper Award in a theoretical or mathematical research category. Its specialized and rigorous nature, especially if extended to bi-complex number systems or statistical convergence, makes it well-aligned with academic excellence criteria.

However, to enhance competitiveness:

  • Ensure the paper is indexed or published in high-impact journals (e.g., Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences).

  • Amplify online visibility and articulate real-world applications or theoretical implications more clearly.

 

Kawthar Babatunde | Energy | Young Scientist Award

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Ms. Kawthar Babatunde | Energy | Young Scientist Award

Researcher at Penn state university, United States.

Ms. Kawthar Babatunde is a Ph.D. candidate in Energy and Mineral Engineering at The Pennsylvania State University with a multidisciplinary background in petroleum engineering, data science, and molecular simulation. With research spanning multicomponent gas transport, CO₂/H₂ storage, and shale reservoir behavior, she has developed advanced modeling tools to address energy and environmental challenges. She has held leadership roles in academic and professional societies, and her contributions have been recognized with awards including 1st place at the SPE Ph.D. Student Paper Contest (ENA/Mid-Con Region, 2024) and the prestigious WAAIME Scholarship. Ms. Babatunde is an advocate for interdisciplinary research, data-driven energy solutions, and female representation in STEM.

Publication Profile

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Education

  • Ph.D. in Energy and Mineral Engineering (2022 – 2025, expected)
    The Pennsylvania State University, USA
    GPA: 3.6/4.0
    Thesis: Multicomponent Gas Transport in Organic-Rich Nanoporous Media
    Advisor: Dr. Hamid Emami-Meybodi

  • M.Sc. in Petroleum Engineering (2019 – 2021)
    Universiti Teknologi Petronas, Malaysia
    GPA: 3.7/4.0
    Thesis: Molecular Modeling of Multicomponent Gas Adsorption on Heterogeneous Shale Surface
    Advisor: Dr. Berihun Mamo Negash

  • B.Sc. in Petroleum and Gas Engineering (2013 – 2017)
    University of Lagos, Nigeria
    GPA: 3.48/4.0
    Thesis: Investigation of the Effect of Rice Husk and Cassava Peel on the Rheological Properties of Drilling Mud
    Advisor: Dr. Adegboyega Ehinmowo

Professional Experience

Ms. Kawthar Babatunde is currently a Graduate Research Assistant at The Pennsylvania State University, where she leads research on species-based gas transport in low-permeability unconventional reservoirs. She has developed mathematical models for CO₂ and H₂ injection processes and proposed diffusion-based models for multicomponent gas transport.

Previously, she served as a Data Scientist at Brainiacs STEM and Robotics in Nigeria, where she applied Python-based data analysis techniques to support business decisions and led a data science team. At Universiti Teknologi Petronas, she worked as a Graduate Research and Teaching Assistant, where she conducted molecular dynamics simulations and supported teaching in data science and fluid mechanics. Her early experience includes a Piping Engineering Internship at Ariosh Ltd. in Lagos, where she contributed to pipeline design for the Nigeria LNG Company.

She also has significant teaching experience as a Teaching Assistant at Penn State and UTP, where she assisted in courses ranging from well-logging and production engineering to Python and data science.

Research Interests

  • Unconventional Reservoir Engineering

  • Multicomponent Gas Transport in Nanoporous Media

  • Molecular Modeling and Simulation

  • CO₂ and H₂ Injection Modeling

  • Shale Gas Adsorption Mechanisms

  • Energy Transition Technologies

  • Machine Learning Applications in Reservoir Engineering

Awards:

  • SPE Student Paper Contest (PhD), 1st Place, 2024

  • WAAIME Scholarship, SME (2023, 2024)

  • Penn State University Graduate Fellow, Anne C. Fellow (2022–2023)

  • Outstanding Executive Award, UTP (2021)

  • Student Leader Grant, University of Lagos (2017)

Top Noted Publication

  1. Molecular simulation study of CO₂/CH₄ adsorption on realistic heterogeneous shale surfaces
    K.A. Babatunde, B.M. Negash, M.R. Mojid, T.Y. Ahmed, S.R. Jufar
    Applied Surface Science, Vol. 543, 148789, 2021
    Citations: 71

  • Performed detailed molecular simulations of gas adsorption on heterogeneous shale surfaces.

  • Pioneered a method to capture real mineral surface heterogeneity in adsorption studies.

  1. Adsorption of gases on heterogeneous shale surfaces: A review
    K.A. Babatunde, B.M. Negash, S.R. Jufar, T.Y. Ahmed, M.R. Mojid
    Journal of Petroleum Science and Engineering, Vol. 208, 109466, 2022
    Citations: 65

  • Comprehensive review of gas adsorption mechanisms in shale.

  • Identified challenges and prospects in modeling gas-solid interactions in shale formations.

  1. Species-based modeling of binary gas mixture transport in nanoporous media with adsorption
    K. Babatunde, H. Emami-Meybodi
    Energy & Fuels, Vol. 38 (21), pp. 20515–20534, 2024
    Citations: 3

  • Developed a novel species-specific diffusion model incorporating adsorption dynamics.

  • Applied to CO₂ and CH₄ binary gas systems in organic-rich nanoporous shale.

  1. A state-of-the-art review on waterless gas shale fracturing technologies
    M.R. Mojid, B.M. Negash, H. Abdulelah, S.R. Jufar, B.K. Adewumi
    Journal of Petroleum Science and Engineering, Vol. 196, 108048, 2021
    Citations: 94

  • Ms. Babatunde contributed conceptually and through molecular analysis to the team.

  • Focused on CO₂-based and surfactant-enhanced alternatives for waterless fracking.

  1. Effects of a viscoelastic surfactant on supercritical carbon dioxide thickening for gas shale fracturing
    M.R. Mojid, B.M. Negash, K.A. Babatunde, T.Y. Ahmed, S.R. Jufar
    Energy & Fuels, Vol. 35 (19), pp. 15842–15855, 2021
    Citations: 6

  • Investigated the use of viscoelastic surfactants to improve CO₂ viscosity for hydraulic fracturing.

  • Ms. Babatunde contributed to simulation and modeling aspects of the study.

Conclusion

Ms. Kawthar Babatunde clearly exemplifies the qualities of a rising research leader in the energy domain. Her strong publication record, innovative modeling work, and active engagement in both research and advocacy make her a highly deserving candidate for the Research for Young Scientist Award.

She is not only contributing to cutting-edge technical knowledge but is also shaping the future of energy through interdisciplinary collaboration and inclusivity.

 

Vigneshwaran Jagadeesan Pugazhenthi | Customer Experience | Industry Impact Award

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Mr. Vigneshwaran Jagadeesan Pugazhenthi | Customer Experience | Industry Impact Award

Associate Professor at IEEE, United States.

Mr. Vigneshwaran Jagadeesan Pugazhenthi is a Contact Center Technology Specialist and Automation Architect with extensive experience in QA and test automation across cloud platforms and enterprise contact center solutions. His work merges practical engineering with research, focusing on enhancing software testing processes using AI, RPA, and cloud-native technologies. He has co-authored several research papers in reputed journals on software testing, automation in healthcare, and client service innovation. He actively leads initiatives that drive test effectiveness and performance efficiency using tools like Cyara, Selenium, and UiPath in large-scale production environments.

Publication Profile

Orcid 

Google Scholar

Education

  • Bachelor of Engineering (B.E.) in Computer Science and Engineering
    College of Engineering, Guindy – Chennai, India

Professional Experience

Mr. Vigneshwaran J. Pugazhenthi is a seasoned Contact Center Technology Architect with over 11 years of experience, specializing in Genesys Cloud, AWS Connect, and Cyara. He has led large QA and automation teams in Fortune 500 organizations such as Cognizant and Accenture across multiple geographies including the USA and India. His technical expertise spans IVR testing automation, RPA with UiPath, Selenium with Cucumber, and Cloud Contact Center migration. He has built and led initiatives in performance testing, CI/CD testing, test automation frameworks, and developed custom speech-enabled call flows using Lex, Lambda, and DynamoDB. Vigneshwaran is also a certified AWS Solution Architect Associate, Microsoft Azure Fundamentals, and HashiCorp Terraform Associate among several other industry certifications.

Research Interests

  • Contact Center Automation and Optimization

  • AI and Robotics in Software Testing

  • IVR Quality Testing and Voice Quality Measurement

  • Cloud Migration Strategies for Contact Centers

  • Automation in Healthcare and Client Services

  • Framework Development in Test Engineering

Author Metrics

  • Total Publications: 5

  • Total Citations: 55+

  • h-index: 4

  • Notable Journals Published In:

    • International Journal of Advanced Research in Computer and Communication Engineering

    • European Journal of Computer Science and Information Technology

    • Journal of Emerging Technologies and Innovative Research

Top Noted Publication

  • Advances in Software Testing in 2024: Experimental Insights, Frameworks, and Future Directions
    G. Pandy, V.J. Pugazhenthi, A. Murugan
    International Journal of Advanced Research in Computer and Communication Engineering, 15 citations, 2024

  • Real Value of Automation in the Healthcare Industry
    G. Pandy, V.G. Pugazhenthi, J.K. Chinnathambi
    European Journal of Computer Science and Information Technology, 13 citations, 2024

  • Smart Automation for Client Service Agreement: Robotics in Action
    G. Pandy, V.J. Pugazhenthi, J.K. Chinnathambi, A. Murugan
    Journal ID 9471, 13 citations, 2024

  • Voice Quality Technology and Testing: Advancements, Techniques, and Applications
    S. Nadendla, V. Jagadeesan Pugazhenthi, J. Singh, E. Visagan, G. Pandy
    Journal of Emerging Technologies and Innovative Research, 9 citations, 2024

  • AI-Powered Robotics and Automation: Innovations, Challenges, and Pathways to the Future
    G. Pandy, V.J. Pugazhenthi, A. Murugan, B. Jeyarajan
    European Journal of Computer Science and Information Technology, 5 citations, 2025

Conclusion

Mr. Vigneshwaran Jagadeesan Pugazhenthi is a strong candidate for the Research for Industry Impact Award. His work stands at the forefront of translating automation research into real-world customer service transformation, particularly in contact center technologies, AI-based testing, and cloud systems. With further academic expansion and sustained research output, he is positioned to become a leading figure in industrial research for digital customer experience systems.

 

Puliang Yu | Fluid lubrication | Best Researcher Award

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Mr. Puliang Yu | Fluid lubrication | Best Researcher Award

Associate Professor at Wuhan University of Science and Technology, China.

Dr. Puliang Yu is an Associate Professor in the School of Mechanical Automation at Wuhan University of Science and Technology. With a doctorate from Huazhong University of Science and Technology, he specializes in nonlinear dynamics, aerostatic bearing systems, and precision engineering. Dr. Yu has led several national and provincial-level research projects and published widely across mechanical and interdisciplinary engineering domains. His current work extends into intelligent mechanical systems and their biomedical applications.

Publication Profile

Scopus

Education

Dr. Puliang Yu holds a Ph.D. in Mechanical Engineering from the School of Mechanical Science and Engineering at Huazhong University of Science and Technology (2009–2016). He earned both his Master’s (2006–2009) and Bachelor’s degrees (2002–2006) in Mechanical Engineering from the School of Mechanical Automation at Wuhan University of Science and Technology.

Professional Experience

Dr. Yu began his academic career in July 2016 as a Lecturer in the School of Mechanical Automation at Wuhan University of Science and Technology. In November 2019, he was promoted to Associate Professor at the same institution, where he continues to teach and conduct research in mechanical systems, dynamic modeling, and aerostatic bearing technologies.

Research Interests

  • Nonlinear dynamics and control of aerostatic bearings

  • Precision engineering and active suspension systems

  • Multi-source disturbance analysis in mechanical systems

  • Micro-structured mechanical design for improved dynamic stability

  • Biomedical data analysis and engineering applications in healthcare

  • Data imbalance and oversampling in machine learning for industrial engineering

Author Metrics

  • Total Publications: 10+ peer-reviewed articles

  • Primary Roles: First author on 3 publications; Corresponding author on 4

  • Top Impact Factor Journal: Computers & Industrial Engineering (IF = 7.9)

  • Average Journal Impact Factor: ~3.5

  • Fields of Publication: Mechanical Engineering, Biomedical Engineering, Materials Science, Industrial Data Analytics

Top Noted Publication

  • Optimization Design of Aerostatic Bearings (Lubricants, 2022)

  • Thermal Conductivity of SiC-Mullite Ceramics (Ceramics International, 2023)

  • Density-Based Oversampling in Industrial Systems (Computers & Industrial Engineering, 2023)

  • Dynamic Stiffness Analysis under Perturbations (IJPEM, 2015)

  • Biomedical Meta-Analysis of Visfatin and Hypertension Risk (Hormone and Metabolic Research, 2019)

Conclusion

Dr. Puliang Yu is well-suited for the Best Researcher Award within his specialization. His innovative work in aerostatic bearings, his integration of AI in industrial systems, and his foray into biomedical engineering reflect a strong interdisciplinary and applied focus. With continued growth in research output, global visibility, and industry-academic collaboration, he has the potential to not only merit this award but to become a leading figure in the evolving intersection of mechanical engineering and smart systems.

 

Sudharson K | Information and Communication | Best Academic Researcher Award

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Dr. Sudharson K | Information and Communication | Best Academic Researcher Award

Associate Professor at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India.

Dr. Sudharson K is an accomplished academician and researcher in the domain of secure communication systems, currently serving as Associate Professor at Vel Tech University, Tamil Nadu. With over 19 years of teaching and research experience, his academic journey has spanned several esteemed institutions where he has consistently contributed to advancements in quantum cryptography, mobile ad hoc networks (MANETs), artificial intelligence, and data science. He is recognized for his innovative integration of Quantum Elliptic Curve Cryptography (QECC) and data mining techniques for network security and is the recipient of the “Award of Excellence in Research” for 2023–2024.

Publication Profile

ORCID

Scopus

Google Scholar

Education

  • Ph.D. in Electrical and Electronic Engineering
    Eastern Mediterranean University, Cyprus (January 2011)
    Thesis: Probability Distribution Function Based Face Recognition Boosted by Data Fusion
    Supervisor: Prof. Hasan Demirel

  • M.Sc. in Electrical and Electronic Engineering
    Eastern Mediterranean University, Cyprus (June 2008)
    Thesis: A New Face Recognition System Based on Colour Statistics
    Supervisor: Prof. Hasan Demirel ​

  • B.Sc. in Electrical and Electronic Engineering (High Honors)
    Eastern Mediterranean University, Cyprus (January 2007)
    Project: Explorer Robot
    Supervisor: Dr. Mustafa K. Uyguroğlu

Professional Experience

Dr. Sudharson has held several academic positions over the years, progressively advancing from Lecturer to Associate Professor. He is currently serving at Vel Tech University (2025–Present). Previously, he held positions at:

  • R.M.D. Engineering College (2023–2025) – Associate Professor, AI & ML

  • Rajalakshmi Engineering College (2022–2023) – Assistant Professor (SG), Computer Science & Business Systems

  • Velammal Institute of Technology (2019–2022) – Assistant Professor, Information Technology

  • T.J.S. Engineering College (2017–2019) – Assistant Professor, CSE

  • S.A. Engineering College (2007–2017) – Assistant Professor, IT

  • Sriram Engineering College (2005–2007) – Lecturer, IT

Throughout his career, Dr. Sudharson has led academic and research initiatives in AI, quantum security, and network simulations, and has mentored numerous students in project development and thesis work.

Research Interests

  • Quantum Cryptography & Quantum Elliptic Curve Cryptography (QECC)

  • Mobile Ad Hoc Networks (MANETs) and Security Protocols

  • Artificial Intelligence and Machine Learning

  • Secure Communication Systems

  • Simulation Modeling using NS2/NS3

  • Data Science and Visualization

  • Internet of Things (IoT) and Cloud Computing

Certifications

  • NPTEL (IIT Kharagpur): Internet of Things, Cloud Computing, Deep Learning (Elite/Gold/Silver)

  • Infosys Springboard: IoT Foundation, Deep Learning with TensorFlow

  • Cisco: Introduction to Cybersecurity

  • AWS & Wipro Certified Faculty

Awards & Achievements

  • Award of Excellence in Research (2023–2024)

  • AWS Certified Faculty (2022)

  • Wipro Certified Faculty (2020)

  • Best Student Award (2010–2011 PG Programme)

  • Best Academic Performer (1994–1995)

  • Best Overall Performer (1996–1997)

Top Noted Publication

  1. Hybrid Deep Learning Neural System for Brain Tumor Detection
    Authors: K. Sudharson, A.M. Sermakani, V. Parthipan, D. Dhinakaran, et al.
    Conference: 2022 2nd International Conference on Intelligent Technologies (CONIT)
    Pages: 1–6
    Citations: 49
    Year: 2022
    Summary: Developed a hybrid deep learning system integrating CNN and LSTM architectures to enhance accuracy in brain tumor classification from MRI scans.

  1. Data Mining with Privacy Protection Using Precise Elliptical Curve Cryptography
    Authors: B. Murugeshwari, D. Selvaraj, K. Sudharson, S. Radhika
    Journal: Intelligent Automation & Soft Computing, Volume 35, Issue 1
    Citations: 43
    Year: 2023
    Summary: Proposed a secure data mining model using Precise Elliptical Curve Cryptography (PECC) to maintain data confidentiality during knowledge discovery processes.

  2. DEFECT: Discover and Eradicate Fool Around Node in Emergency Network Using Combinatorial Techniques
    Authors: S. Arun, K. Sudharson
    Journal: Journal of Ambient Intelligence and Humanized Computing, Volume 14, Issue 5, Pages 5995–6006
    Citations: 39
    Year: 2023
    Summary: Introduced a novel approach, DEFECT, that uses combinatorial methods for identifying and eliminating malicious nodes in emergency Mobile Ad Hoc Networks (eMANETs).

  3. Efficient Soil Condition Monitoring with IoT Enabled Intelligent Farming Solution
    Authors: K. Sudharson, B. Alekhya, G. Abinaya, C. Rohini, S. Arthi, D. Dhinakaran
    Conference: 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Sciences
    Citations: 38
    Year: 2023
    Summary: Designed an IoT-based intelligent farming system for real-time soil health tracking and data-driven agricultural decision-making.

  4. NUITECH – Natural User Interface Technique for Emulating Computer Hardware
    Authors: K. Sudharson, A.M. Ali, N. Partheeban
    Journal: International Journal of Pharmacy & Technology, Volume 8, Issue 4, Pages 23598–23606
    Citations: 37
    Year: 2016
    Summary: Developed a gesture-based natural user interface system (NUITECH) aimed at enhancing human-computer interaction by emulating hardware control through body motion.

Conclusion

Dr. Sudharson K is highly suitable for the Best Academic Researcher Award based on his breadth and depth of research, innovation in secure communication systems, dedication to teaching, and academic excellence over nearly two decades. His work bridges core theoretical research and practical innovation, particularly in quantum security and AI-driven solutions, which are critical in today’s technological landscape.

While greater emphasis on global collaboration, IP creation, and grant acquisition would further solidify his profile, his current contributions justify recognition at a high level.