Kawthar Babatunde | Energy | Young Scientist Award

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

Scopus

Orcid 

Google Scholar

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

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

Technology Architect/Manager at Cognizant,USA.

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

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

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.

 

Gholamreza Anbarjafari | Generative AI | Best Researcher Award

Prof. Gholamreza Anbarjafari | Generative AI | Best Researcher Award

Professor at Estonian Business School Estonia.

Professor Gholamreza Anbarjafari, also known as Shahab, is a distinguished AI scientist with over 15 years of experience in leading and developing cutting-edge solutions in AI, Generative AI, Machine Learning, Medical Signal Processing, and Computer Vision. He has held prominent academic positions, including Professor and Head of the iCV Lab at the University of Tartu and Visiting Professor roles at Yildiz Technical University and Estonian Business School. His professional journey includes significant contributions to industry, notably as Director of AI at PwC Finland, where he leads AI and GenAI initiatives across the Nordic region. An IEEE Senior Member, Professor Anbarjafari has been recognized with several awards, including the Best Lecturer award and the Best Paper award by ETRI Journal. His research has garnered substantial funding, and he has a robust publication record with a high h-index and numerous citations, reflecting his impact in the field.

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

  • Director of AI, PwC Finland (March 2020 – Present)
    Leads AI and Generative AI (GenAI) strategy development, spearheading initiatives across the Nordic region. Provides consultancy on AI, GenAI, and computer vision solutions to diverse industries, including FinTech, AgriTech, EduTech, and SecurTech. Developed multiple LLM and deep learning-based solutions for clients in HRTech, banking, and cybersecurity sectors.

  • Visiting Professor, Estonian Business School, Tallinn, Estonia (September 2024 – Present)
    Assists in developing AI-related grants and R&D projects.

  • Visiting Professor, Yildiz Technical University, Istanbul, Turkey (September 2020 – May 2024)
    Taught Artificial Intelligence courses for postgraduate students and consulted on smart city and digitalization projects.

  • Discovery Search Team Lead, Rakuten Inc., via iCV Lab, Tartu, Estonia (September 2018 – August 2020)
    Led research on multimodal and multilingual discovery search for e-commerce, analyzing user behaviors during e-shopping.

  • Co-founder and Chief Technology Officer (CTO), Alpha3D, Tallinn, Estonia (November 2019 – September 2023)
    Developed 3D content creation using stable diffusion models for AR applications.

  • Professor/Head of iCV Lab, University of Tartu, Tartu, Estonia (September 2013 – April 2024)
    Led research in human behavior analysis, conducting R&D on data-driven AI solutions for various DeepTech applications. Secured over €10 million in funding from 47 contracts, collaborating with notable partners such as Veriff, Clevon, AuveTech, and others.

Research Interest 

Professor Anbarjafari’s research encompasses a broad spectrum of areas within artificial intelligence and computer vision, including:

  • AI/Generative AI & Machine Learning

  • Computer Vision & Affective Computing

  • Natural Language Processing (NLP)

  • DeepTech Solutions across various domains

  • Human-Robot Interaction

  • Medical Signal Processing (EEG and ECG analysis)

  • 3D Modeling and Visualization

  • Image and Video Super Resolution

  • Biometric Recognition

  • Image Compression and Watermarking

Author Metrics

  • h-index: 44

  • i10-index: 115

  • Total Citations: 8,271

Top Noted Publication

1. Action Recognition Using Single-Pixel Time-of-Flight Detection

Authors: I. Ofodile, A. Helmi, A. Clapés, E. Avots, K. M. Peensoo, S. M. Valdma, G. Anbarjafari, et al.
Journal: Entropy, Vol. 21, Issue 4, Article 414 (2019)
Citations: 16
Summary: This paper explores a novel method for action recognition using single-pixel Time-of-Flight (ToF) detection rather than conventional RGB or depth cameras. The study emphasizes:

  • Utilizing a ToF sensor for motion capture by detecting temporal variations in backscattered light.

  • A compressed sensing approach that allows action recognition from a limited number of photons (i.e., low-light or cost-constrained scenarios).

  • Demonstrated high accuracy in recognizing actions like waving, walking, and jumping using neural networks trained on ToF data.

2. An Objective No-Reference Measure of Illumination Assessment

Author: G. Anbarjafari
Journal: Measurement Science Review, Vol. 15, Issue 6, pp. 319–326 (2015)
Citations: 16
Summary: This paper proposes a no-reference (NR) metric for evaluating the illumination quality of digital images. Key contributions include:

  • Development of an algorithm that assesses brightness consistency and contrast without requiring a reference image.

  • Use of statistical parameters from histogram analysis to predict human visual satisfaction with image lighting.

3. Prediction of sgRNA Off-Target Activity in CRISPR/Cas9 Gene Editing Using Graph Convolution Network

Authors: P. K. Vinodkumar, C. Ozcinar, G. Anbarjafari
Journal: Entropy, Vol. 23, Issue 5, Article 608 (2021)
Citations: 15
Summary: This study applies graph convolutional networks (GCNs) to predict off-target effects of sgRNA sequences in CRISPR/Cas9 gene editing. Contributions:

  • Modeling nucleotide sequences as graphs to capture spatial and relational properties.

  • Achieves superior prediction accuracy over traditional machine learning methods.

  • Addresses a critical concern in genome editing: unintended mutations.

4. Size-Dictionary Interpolation for Robot’s Adjustment

Authors: M. Daneshmand, A. Aabloo, G. Anbarjafari
Journal: Frontiers in Bioengineering and Biotechnology, Vol. 3, Article 63 (2015)
Citations: 15
Summary: This research presents an adaptive algorithm for robot movement adjustment based on size-dictionary interpolation. Highlights:

  • A size-dictionary is created from previously observed environmental objects and used to adjust robot motion dynamically.

  • Enables robots to adapt quickly to new object dimensions without full reprocessing.

5. Multifunctionality of Polypyrrole Polyethylene Oxide Composites: Concurrent Sensing, Actuation and Energy Storage

Authors: N. Q. Khuyen, R. Kiefer, Z. Zondaka, G. Anbarjafari, A. L. Peikolainen, T. F. Otero, et al.
Journal: Polymers, Vol. 12, Issue 9, Article 2060 (2020)
Citations: 14
Summary: The paper investigates polypyrrole–polyethylene oxide (PPy–PEO) composites with integrated functionalities for:

  • Sensing (via electrical resistance changes),

  • Actuation (due to electrochemical expansion/contraction), and

  • Energy storage (as supercapacitor materials). The work includes both material synthesis and experimental validation.

Conclusion

Professor Gholamreza Anbarjafari is exceptionally qualified for the Best Researcher Award. His interdisciplinary research, academic leadership, and tangible impact in both academia and industry mark him as a pioneer in the field of Generative AI and applied computer vision.

While he could further strengthen his global outreach and public engagement, his credentials, innovation, and contribution trajectory make him a highly deserving recipient of such recognition.

 

Marina Stramarkou | Chemical Engineering | Best Researcher Award

Dr. Marina Stramarkou | Chemical Engineering | Best Researcher Award

MSCA Postdoctoral Fellow at National Centre for Scientific Research “Demokritos” Greece.

Dr. Marina Stramarkou is a multidisciplinary researcher in food engineering and nanotechnology, currently serving as a Marie Skłodowska-Curie Postdoctoral Fellow at Teagasc, Ireland. She earned her Ph.D. in Chemical Engineering from the National Technical University of Athens, where she was awarded for the best doctoral thesis with industrial interest. Her work bridges academia and industry, focusing on smart materials, functional foods, sustainable packaging, and personalized nutrition systems. Her contributions have been recognized with multiple awards including the Dimitris N. Chorafas Prize and Thomaides Publication Awards for eight consecutive years.

Publication Profile

ORCID

Scopus

Education

Dr. Marina Stramarkou holds a Ph.D. in Chemical Engineering from the National Technical University of Athens (NTUA), completed in collaboration with the National Centre for Scientific Research “Demokritos” (2016–2022). Her doctoral research focused on the development of smart packaging systems using electronic sensors on flexible substrates to activate encapsulated food bioactive compounds, supported by an industrial research fellowship from the Stavros Niarchos Foundation. She also earned a Master’s degree in “Techno-economic Systems” (8.84/10) through a joint program by NTUA’s School of Electrical and Computer Engineering and the University of Piraeus (2018–2020). Her academic foundation is a Diploma in Chemical Engineering (equivalent to an integrated Master’s, Grade: 7.98/10) from NTUA, completed in 2016.

Currently, Dr. Stramarkou is a Marie Skłodowska-Curie Postdoctoral Fellow (2025–2027) at Teagasc – Agriculture and Food Development Authority in Dublin, Ireland, where her research involves the design of personalized emulsions for controlled omega-3 delivery and flavor improvement.

Professional Experience

Dr. Stramarkou has extensive experience in leading and contributing to multidisciplinary European and national research projects across the fields of food innovation, smart packaging, environmental sustainability, and nanotechnology. Notable roles include Project Manager for CONVERT2GREEN and RECOFFEE, and Visiting Researcher for the VALIAS project at Teagasc. She has contributed to the development of innovative functional foods, biodegradable materials, and bio-based packaging systems in projects such as VEGAN BURGER, PERIOROU, OLIVIA, SAFEBAG, and TASTESTEVIA.

Her technical competencies include advanced encapsulation techniques (e.g., electrospinning, spray drying), sensor fabrication, food and material characterization (e.g., HPLC, GC-MS, SEM), and environmental impact assessments through Life Cycle Assessment and Costing. She has also contributed to final product development including smart food packaging, antimicrobial plastics, and novel food formulations.

Research Interest 

Dr. Stramarkou’s research spans food nanotechnology, smart packaging, bioactive delivery systems, circular economy solutions, encapsulation of nutraceuticals, sensor technology, and techno-economic and environmental assessments. She is particularly interested in functional food innovation, sustainable processing technologies, and value-added utilization of food waste and by-products.

Author Metrics

  • Publications: 10+ peer-reviewed articles in high-impact journals

  • Citations: ~200+ (as of April 2025)

  • h-index: 7🥇📚🌍.

Awards & Fellowships

  • Chorafas Prize for Best Doctoral Dissertation, NTUA (2023)

  • Best Doctoral Thesis in Industrial Applications, School of Chemical Engineering, NTUA (2023)

  • Thomaides Award for Scientific Publications (2016–2023)

  • SNF Industrial PhD Fellowship, Stavros Niarchos Foundation (2018–2022)

  • Eurobank EFG Award, for top high school graduation marks (2010)

Top Noted Publication

Title: Fabrication of ZnO Thin Films Doped with Na at Different Percentages for Sensing CO₂ in Small Quantities at Room Temperature
Journal: Sensors
Publication Date: 2025-04-24
DOI: 10.3390/s25092705
Authors: Marina Stramarkou, Achilleas Bardakas, Magdalini Krokida, Christos Tsamis
Summary: This study focuses on the development of Na-doped ZnO thin films optimized for detecting low concentrations of CO₂ at room temperature, aiming for applications in environmental monitoring and smart packaging.

Title: A Comprehensive Review of the Latest Trends in Spray Freeze Drying and Comparative Insights with Conventional Technologies
Journal: Pharmaceutics
Publication Date: 2024-11-29
DOI: 10.3390/pharmaceutics16121533
Authors: Maria Ioannou Sartzi, Dimitrios Drettas, Marina Stramarkou, Magdalini Krokida
Summary: This review critically compares spray freeze drying (SFD) to conventional drying techniques, highlighting advances in the pharmaceutical field, product stability, and encapsulation efficiency.

Title: Optimization of Encapsulation of Stevia Glycosides through Electrospraying and Spray Drying
Journal: Food Hydrocolloids
Publication Date: 2022-10
DOI: 10.1016/j.foodhyd.2022.107854
Authors: Vasiliki Oikonomopoulou, Marina Stramarkou, Artemis Plakida, Magdalini Krokida
Summary: This paper presents optimization studies on the encapsulation of stevia glycosides using electrospraying and spray drying, aiming to improve their stability and release properties in functional food applications.

Title: Comparative Analysis of Different Drying Techniques Based on the Qualitative Characteristics of Spirulina platensis Biomass
Journal: Journal of Aquatic Food Product Technology
Publication Date: 2021-05-28
DOI: 10.1080/10498850.2021.1900969
Authors: Marina Stramarkou, Sofia Papadaki, Konstantina Kyriakopoulou, Ioannis Tzovenis, Marios Chronis, Magdalini Krokida
Summary: The study compares multiple drying methods (spray drying, freeze drying, convective drying) for Spirulina platensis, evaluating impacts on color, protein content, antioxidant activity, and rehydration properties.

Title: Encapsulation of Rosemary Essential Oil into Biodegradable Polymers for Application in Crop Management
Journal: Journal of Polymers and the Environment
Publication Date: 2020-08
DOI: 10.1007/s10924-020-01760-5
Authors: Marina Stramarkou, Vasiliki Oikonomopoulou, Theodora Missirli, Ioanna Thanassoulia, Magdalini Krokida
Summary: The work explores the encapsulation of rosemary essential oil into biodegradable polymers, aiming to create sustainable crop management solutions with slow-release antimicrobial activity.

Conclusion

Dr. Marina Stramarkou is highly suitable for the Best Researcher Award. Her trajectory reflects an emerging research leader with interdisciplinary strengths, industrial relevance, and a drive for innovation in sustainable materials and functional foods. Her work stands out for its originality, technical sophistication, and societal relevance, making her a compelling candidate for this recognition. With continued publication momentum and expanded global impact, her research legacy is poised for even greater recognition.

 

Manhattan Lebrun | soil fertility | Best Researcher Award

Dr. Manhattan Lebrun | soil fertility | Best Researcher Award

Postdoctoral researcher at Université Marie et Louis Pasteur, France

Dr. Manhattan Lebrun is a French environmental scientist specializing in soil remediation and phytomanagement. he holds a PhD in Biosciences and Territory from the University of Molise, Italy. With extensive postdoctoral experience across Europe, including France, Czech Republic, and Italy, he currently serves as a postdoctoral researcher at Université Bourgogne Franche-Comté. His research integrates soil biogeochemistry, phytoremediation, and biochar technology, addressing contamination from heavy metals and enhancing soil fertility through sustainable methods. Dr. Lebrun is a prolific author with 52 peer-reviewed publications, a reviewer for leading environmental journals, and a guest editor for special issues on soil pollution. He is actively involved in student mentoring, teaching in both French and English, and contributing to scientific communities through editorial work and international conferences. His interdisciplinary approach combines field studies, molecular biology, and ecoengineering to develop innovative strategies for contaminated land rehabilitation 🌱🧪🌍.

Publication Profile

ORCID

Scopus

Education

Dr. Lebrun’s educational foundation is rooted in environmental sciences and biology. He earned his Bachelor’s (2011–2014) and Master’s (2014–2016) degrees from the University of Orléans, France, specializing in the biology of organisms, populations, and ecosystems. His passion for sustainable land management led him to pursue a PhD (2016–2020) in Biosciences and Territory at the University of Molise, Italy. His doctoral research focused on biogeochemical and microbiological processes in the rhizosphere of Salicaceae, particularly their role in the phytostabilization of contaminated technosols. A highlight of his PhD was a six-month fellowship at Ghent University, Belgium, where he deepened his expertise in soil chemistry and microbial ecology. His education combined rigorous academic coursework with extensive laboratory and field internships, preparing him for a dynamic research career focused on eco-restoration and soil remediation 🌿📘🧫.

Professional Experience

Dr. Lebrun has built a robust career in postdoctoral research across top European institutions. Since January 2024, he has been at CHRONO-ENVIRONMENT, Université Bourgogne Franche-Comté, working on the HORIZON H2020 EDAPHOS project to evaluate nature-based solutions for soil restoration. Previously, at the Czech University of Life Sciences, he led research on biochar and manure’s role in enhancing soil fertility and mitigating metal(loid) dynamics. At INRAE Versailles-Grignon, he investigated biochar-compost interactions under drought stress in alfalfa. His earlier roles at Université d’Orléans focused on activated carbon and biochar applications for soil detoxification and plant productivity. Dr. Lebrun’s expertise spans soil amendments, microbial dynamics, nutrient cycling, and environmental geochemistry. His ability to integrate laboratory, greenhouse, and field-scale experiments makes him a valuable asset in interdisciplinary environmental science 🧑‍🔬🌍🧫.

Research Interest 

Dr. Lebrun’s research bridges soil science, environmental biotechnology, and plant physiology, with a strong focus on soil remediation and phytoremediation. His central interest lies in nature-based solutions to restore contaminated ecosystems, particularly through the use of biochar, compost, and microbial inoculants. He explores how these amendments influence the bioavailability of toxic metal(loid)s (like As, Pb, Zn) and support plant growth under stress. His work often involves multi-scale approaches—from molecular analysis of plant and microbial responses to large-scale field trials. A recurring theme is understanding the role of the rhizosphere in mediating soil-plant-microbe interactions. He also investigates the long-term ecological impacts of amendments on nutrient cycling, carbon sequestration, and biodiversity. Through collaboration with agronomists, microbiologists, and chemists, his research supports sustainable land-use practices, particularly in post-industrial or mining-impacted regions 🧬🌾🧱.

Award and Honors

Dr. Manhattan Lebrun has been recognized for his impactful research and academic contributions. He has served as a Guest Editor for high-impact journals such as Plants and Environments, focusing on topics like heavy metal pollution and soil remediation. As a Review Editor for Frontiers in Soil Sciences, he contributes to advancing knowledge in environmental pollution and sustainable land management. His scientific work has garnered over 600 citations, reflecting his influence in the field. Notably, his dedication to mentorship is evident in the numerous students he has guided at bachelor’s, master’s, and PhD levels across France and the Czech Republic. He has been an invited speaker and session convener at major international conferences like SUITMA11 (Berlin), where he shared innovations in soil amendment strategies. These accolades underscore his commitment to excellence and leadership in environmental science 🥇📚🌍.

Skills

Dr. Lebrun possesses a multidisciplinary skill set encompassing soil chemistry, plant ecophysiology, microbiology, and environmental geochemistry. He is proficient in techniques like ICP-OES/MS, GC-MS, spectroscopy, chromatography, molecular biology (DNA/RNA extraction, qPCR), and enzymatic assays. His fieldwork expertise includes soil sampling, amendment trials, and phytoremediation assessments across various ecosystems. He excels in data analysis using R and statistical tools to model environmental processes. His teaching experience spans undergraduate to postgraduate levels, covering soil science, environmental chemistry, and experimental biology. He has a strong command of both French and English, contributing to international publications and academic discourse. Editorially, he reviews for top-tier journals and organizes special issues. His project management capabilities shine through collaborative research on European projects (H2020, GACR, FUI). These skills are bolstered by a passion for sustainability, mentoring, and scientific communication 🧑‍🏫💻🌱.

Top Noted Publication

Biochar Characteristics and Pb²⁺/Zn²⁺ Sorption Capacities: The Role of Feedstock Variation

Authors: Information not available in the provided data.

Year: 2024​

2. Biochar and Heavy Metals

Authors: Information not available in the provided data.

Year: 2024​

3. Combined Biochar and Manure Addition to an Agricultural Soil Benefits Fertility, Microbial Activity, and Mitigates Manure‐Induced CO₂ Emissions

Authors: Information not available in the provided data.

Year: 2024​

4. Positive or Neutral Effects of Biochar-Compost Mixtures on Earthworm Communities in a Temperate Cropping System

Authors: Information not available in the provided data.

Year: 2023​

5. The Older, the Better: Ageing Improves the Efficiency of Biochar-Compost Mixture to Alleviate Drought Stress in Plant and Soil

Authors: Information not available in the provided data.

Year: 2023​

6. Biochar and Compost Addition Increases Soil Organic Carbon Content and Substitutes P and K Fertilizer in Three French Cropping Systems

Authors: Information not available in the provided data.

Year: 2022​

7. How Does Soil Water Status Influence the Fate of Soil Organic Matter? A Review of Processes Across Scales

Authors: Information not available in the provided data.

Year: 2022​

8. Biochar, Ochre, and Manure Maturation in an Acidic Technosol Helps Stabilize As and Pb in Soil and Allows Its Vegetation by Salix triandra

Authors: Manhattan Lebrun, Sylvain Bourgerie, Domenico Morabito, et al.

Year: 2022

9. Biochar in Manure Can Suppress Water Stress of Sugar Beet (Beta vulgaris) and Increase Sucrose Content in Tubers

Authors: Information not available in the provided data.

Year: 2022​

10. Effects of Different Biochars, Activated Carbons and Redmuds on the Growth of Trifolium repens and As and Pb Stabilization in a Former Mine Technosol

Authors: Manhattan Lebrun, Sylvain Bourgerie, Domenico Morabito

Year: 2022

11. Co-culture of Salix viminalis and Trifolium repens for the Phytostabilisation of Pb and As in Mine Tailings Amended with Hardwood Biochar

Authors: Information not available in the provided data.

Year: 2022

Conclusion

Dr. Manhattan Lebrun embodies the characteristics of a top-tier researcher—a prolific, collaborative, and innovative scientist with a deeply impactful focus on environmental restoration and sustainability. His extensive publication record, international experience, leadership in education and editorial duties, and applied science approach make him an outstanding candidate for a Best Researcher Award.

 

Sandhya Jalgar | Nanotechnology | Best Researcher Award

Mrs. Sandhya Jalgar | Nanotechnology | Best Researcher Award

Research Scholar at Karnatak Lingayat Education Technological University, India.

Dr. Sandhya R. Jalgar is a dedicated Structural Engineering professional with expertise in nanotechnology, boasting over 10 years of academic experience and 3 years in the construction industry. Her research primarily focuses on hybrid nanocomposite dampers, earthquake-resistant structures, and structural health monitoring. She has supervised multiple student research projects and has actively contributed to bridging academia and industry through workshops, curriculum development, and technical collaborations. With an impressive portfolio of research publications and a passion for advancing material science, Dr. Jalgar continues to innovate in the field of structural engineering.

Publication Profile

Scopus

Orcid

Education

Ph.D. in Structural Engineering (Nanotechnology)
KLE Technological University, Hubli, India (2025)
Thesis: Design and Development of Hybrid Nanocomposite Damper for Structural Energy Dissipation.

M. Tech in Structural Engineering
Visvesvaraya Technological University, Belagavi, India (2018)

B.E. in Civil Engineering
B.V.B. College of Engineering and Technology, Hubli, India (2005)

Professional Experience

Associate Engineer, Neilsoft Engineering Technology (3 years)

Supervised structural design for multistoried buildings in the UK and US.

Specialized in ETABS, STAAD Pro, and OASYS.

Lecturer, C.I. Munavalli Polytechnic (3 years)

Taught RCC, Environmental Engineering, Estimation, and Costing.

Supervised structural design projects.

Lecturer, KLE Institute of Technology (3 years)

Delivered lectures on RCC, Steel Design, and Structural Analysis.

Mentored UG and PG projects and published research papers.

Assistant Professor, AGMR College of Engineering and Technology (3 years)

Focused on Structural Engineering subjects and curriculum development.

Research Interest 

Dr. Jalgar’s research spans:

Nanotechnology Applications: Developing hybrid nanocomposite dampers for structural resilience.

Structural Health Monitoring: Implementing retrofitting techniques.

High-Performance Concrete: Innovating with nano-materials and composite reinforcements.

Skills

Software Expertise: ETABS, STAAD Pro, AutoCAD, ANSYS

Technical Proficiency: MATLAB, MS Project, Revit

Standards Knowledge: IS, IRC, ACI, Eurocodes

Top Noted Publication

  • Title: Epicyclic Gear Train-Based Device to Harvest Electric Energy from Pressure Energy Towards Sustainable Environment

  • Authors: S. Bhagyeshkumar Vijaybhai Suryavanshi, H.A. Fidvi Huzaifa A., R.C. Nayak Ramesh Chandra, P.C. Ghutke Pratik C., S.R. Jalgar Sandhya R.

  • Type: Conference Paper

Conclusion

Dr. Sandhya R. Jalgar‘s impressive academic background, innovative research in nanotechnology, and extensive teaching experience make her a suitable and deserving candidate for the Best Researcher Award. While opportunities exist to expand her collaborations and publications, her contributions to structural engineering are transformative. With her dedication to solving real-world challenges and shaping the next generation of engineers, Dr. Jalgar exemplifies the qualities of an outstanding researcher and mentor.

Rystay Kushanova | Plant Genetic Resources | Best Academic Researcher Award

Dr. Rystay Kushanova | Plant Genetic Resources | Best Academic Researcher Award

Senior Researcher at Kazakh Research Institute of Agriculture and Plant Growing, Kazakhstan.

Dr. Kushanova Rystay Zharmagalievna is a seasoned Senior Researcher with a Ph.D. in Agricultural Sciences and over 25 years of experience in the field of crop science and genetic conservation. Based at the Kazakh Research Institute of Agriculture and Plant Growing, she has led numerous scientific expeditions to collect and conserve wild relatives of staple crops, playing a pivotal role in genetic resource management in Kazakhstan. Her expertise spans plant breeding, elite seed production, and agricultural biodiversity, with over 50 scientific publications to her name. Dr. Kushanova’s work supports sustainable agricultural innovation and crop improvement efforts critical to the region’s food security.

Publication Profile

Scopus

Education

  • Doctor of Philosophy (PhD) in Agricultural Sciences

  • Specialized in Plant Genetics and Breeding

  • Advanced training in genetic resource conservation, elite seed production, and agronomic research methodologies

  • Over 25 years of continuous academic and field research experience in Kazakhstan’s leading agricultural research institutions

Professional Experience

Senior Researcher – Kazakh Research Institute of Agriculture and Plant Growing

  • Department of Gene Pool of Agricultural Crops

    • Spearheaded scientific expeditions across Kazakhstan to collect and conserve wild relatives of major crops such as wheat, barley, oats, and alfalfa

    • Managed the long-term storage, study, and cataloguing of genetic resources crucial for future crop improvement

  • Plant Breeding & Seed Production

    • Engaged in breeding programs for wheat, barley, oats, and oilseed crops

    • Contributed to the development and scaling of elite seed production systems

    • Supported national agricultural development goals through innovation in crop selection and seed quality improvement

Research Interest 

  • Genetic resource conservation of wild and cultivated agricultural species

  • Plant breeding and cultivar development of cereals and oilseeds

  • Seed technology and elite seed production systems

  • Adaptation strategies for crops in arid and semi-arid regions

  • Agrobiodiversity and gene pool management

Author Metrics:

  • Total Publications: 50+

    • RINZ-indexed: 15

    • KOKSON-indexed: 20

    • Scopus-indexed: 5

  • Contributed to international conferences, research collaborations, and national scientific development initiatives

Top Noted Publication

Photosynthetic Activity of Spring Wheat on Chernozem Soil under Diverse Mineral Nutrition in Northern Kazakhstan

Authors:

  • T.Z. Aidarbekova

  • T. Zh. Aidarbekova

  • Abilzhan A. Khussainov

  • Gulsum T. Syzdykova

  • I. A. Nurpeissov

  • R. Zh. Kushanova

Published In:
Sabrao Journal of Breeding and Genetics, 2024

Main Focus:
This study investigates the photosynthetic performance of spring wheat cultivated on chernozem (black soil) under varying mineral nutrition regimes in Northern Kazakhstan. The goal is to determine how different fertilizer treatments influence the photosynthetic efficiency, growth dynamics, and overall productivity of spring wheat—an essential cereal crop for the region.

Conclusion

Dr. Rystay Kushanova is highly suitable for the Best Academic Researcher Award, especially given her pioneering contributions to plant genetic resource conservation, elite seed systems, and national agricultural development in Kazakhstan. Her decades-long career, impact on crop sustainability, and leadership in field research exemplify academic excellence rooted in applied science.

While increasing her international collaborations and Scopus-indexed output would elevate her profile further, her current achievements are already compelling and deserving of high recognition.