Author: Network Science

🎓Education Background

Ph.D. in Eco-toxicology (2009–2013) – Institute for Ocean Management, Anna University, Chennai, India.
M.Phil. in Zoology (2006–2007) – Bharathidasan University, Tiruchirapalli, First Class with Distinction.
M.Sc. in Zoology (2002–2004) – Bharathidasan University, Tiruchirapalli, First Class.

💼 Professional Development

Scientist-C (Jun 2019–Present) – National Centre for Sustainable Coastal Management (NCSCM), Chennai, MoEF&CC, Government of India.
Project Scientist (Apr 2013–Jun 2019) – NCSCM, Chennai.
Research Associate (Sep 2012–Mar 2013) – Institute for Ocean Management, Anna University.
Senior Research Fellow (Apr 2009–Sep 2012) – Institute for Ocean Management, Anna University.
Junior Research Fellow (Feb 2008–Mar 2009) – Institute for Ocean Management, Anna University.
Research Scholar (2007–2008) – CSIR-NEERI, Madras Complex, Chennai.

🔬Research Focus

Coastal and marine environmental impact assessments
Eco-toxicological risk analysis and hazard assessment
Island ecology and environmental carrying capacity
Coral reef, seagrass, and mangrove ecosystem assessments
Waste management and circular economy
Air quality modeling and environmental pollution monitoring
Climate change impact on coastal systems
Nutrient dynamics and eutrophication

Technical Expertise:

Open Water Diver (PADI certified; 100+ dives in Indian coastal and island systems)
QCI-NABET accredited Functional Area Expert (Air Pollution & Risk Assessment)
Cruise experience as Chief Scientist for offshore and island research expeditions
Proficient in tools such as AERMOD, ArcGIS, Origin, GraphPad Prism, SigmaPlot, Ocean Data View

Instruments Handled: ICP-MS, GC-MS, AAS, SKALAR analyzer, TOC analyzer, air samplers, spectrophotometers, and other lab/field testing equipment.

📈Author Metrics:

Conference Presentations & Proceedings: Over 30 national and international presentations on eco-toxicology, climate change, eutrophication, and coastal ecosystem management.
Supervision: Guided 5 MSc dissertations in environmental sciences.
(Note: For exact metrics such as h-index, i10-index, or citation count, please provide access to Google Scholar or similar profiles.)

Awards & Honors

Recognized Functional Area Expert by QCI-NABET for Air Pollution and Hazard Management
Lead scientist in several nationally important marine and coastal ecological impact assessments
Member of:
- Institute of Ecotoxicology & Environmental Sciences
- Ocean Society of India

📝Publication Top Notes

1. **Ingestion and toxic impacts of weathered polyethylene (wPE) microplastics and stress defensive responses in whiteleg shrimp (Penaeus vannamei)**

Journal: Chemosphere
Date: August 2022
DOI: 10.1016/j.chemosphere.2022.134487
Authors: G. Hariharan, R. Purvaja, I. Anandavelu, R.S. Robin, R. Ramesh
Highlights: Investigates the ingestion and physiological stress caused by microplastics in commercially important shrimp species.

2. Record of a Dugong Feeding Trail with a Note on Recent Dugong-Related Incidents Along the Coast of Tamil Nadu, India

Journal: Aquatic Mammals
Date: January 2022
DOI: 10.1578/AM.48.1.2022.21
Authors: Bitopan Malakar, Abhilash K. Rajendran, Hariharan Govindasamy, Deepak S.V. Kumar, Nitul K. Gogoi, Purvaja Ramachandran, Ramesh Ramachandran
Highlights: Reports new observational data on Dugong feeding behavior and conservation threats.

3. **Accumulation and ecotoxicological risk of weathered polyethylene (wPE) microplastics on green mussel (Perna viridis)**

Journal: Ecotoxicology and Environmental Safety
Year: 2021
DOI: 10.1016/j.ecoenv.2020.111765
Authors: Hariharan, G.; Purvaja, R.; Anandavelu, I.; Robin, R.S.; Ramesh, R.
Highlights: Demonstrates bioaccumulation and toxic effects of microplastics in filter-feeding bivalves.

4. Spatiotemporal variations in anthropogenic marine litter pollution along the northeast beaches of India

Journal: Environmental Pollution
Year: 2021
DOI: 10.1016/j.envpol.2021.116954
Authors: Mugilarasan, M.; Karthik, R.; Purvaja, R.; Robin, R.S.; Subbareddy, B.; Hariharan, G.; Rohan, S.; Jinoj, T.P.S.; Anandavelu, I.; Pugalenthi, P., et al.
Highlights: Surveys marine litter across east coast beaches and highlights pollution trends and sources.

5. Status of health and conservation classification of tropical coral reefs in Lakshadweep archipelago

Journal: Wetlands Ecology and Management
Date: October 2021
DOI: 10.1007/s11273-021-09801-z
Authors: M. Gopi, J. Joyson Joe Jeevamani, S. Goutham, Nina T. Simon, V. Deepak Samuel, K.R. Abhilash, R.S. Robin, G. Hariharan, R. Muruganandam, P. Krishnan, et al.
Highlights: Offers a conservation status update and classification of coral reef health across Lakshadweep.

.Conclusion:

Dr. Hariharan Govindasamy stands out as an exceptional candidate for the Best Researcher Award in the fields of pollution research, marine eco-toxicology, and sustainable coastal management. His work has both scientific depth and policy relevance, making real-world contributions to India’s environmental governance and ecosystem protection.

His demonstrated commitment to ecological preservation, high-impact publications, technical leadership, and government-backed roles firmly establish him as one of India’s leading environmental scientists.

✅ Final Verdict: Highly Recommended for the Best Researcher Award in Pollution and Environmental Science

R S Shaji | AI | Outstanding Educator Award

Published on 17/05/202517/05/2025 by Network Science

Dr. R S Shaji | AI | Outstanding Educator Award

Professor at St. Xavier’s Catholic College of Engineering, India

Dr. R.S. Shaji is a distinguished academician, administrator, and researcher with over 26 years of teaching and 22 years of administrative experience in Computer Science and Engineering. Currently serving as Dean (Systems) and Professor at St. Xavier’s Catholic College of Engineering, Tamil Nadu, he is also a recognized NAAC Assessor and a doctoral supervisor at Anna University and Noorul Islam University. With extensive contributions to the domains of Machine Learning, Smart Grid Computing, Cyber Security, and Cloud Computing, he has successfully produced 8 Ph.D. graduates and is presently guiding 10 doctoral scholars.

🔹Professional Profile:

🎓Education Background

Ph.D. in Computer Science and Engineering (2012) – Manonmaniam Sundaranar University, Tirunelveli
M.Tech. in Computer Science and Engineering (2002) – Pondicherry University (Central University), Puducherry

💼 Professional Development

Dr. Shaji has held prominent academic leadership roles including Dean (Research), Head of Department, and Director of Admissions across reputed institutions like St. Xavier’s Catholic College of Engineering and Noorul Islam University. He is a recognized faculty member and supervisor under AICTE, UGC, and Anna University. His experience also extends to three years in the software industry, and he has been deeply involved in curriculum design, institutional accreditation processes, and national missions such as Unnat Bharat Abhiyan and MHRD’s Institution Innovation Council.

🔬Research Focus

His core research domains include:

Machine Learning
Smart Grid Computing
Cyber Security
Cloud Computing
Blockchain Applications
Healthcare and Medical Informatics

📈Author Metrics:

Publications: 72 research articles in SCI, Scopus, Web of Science indexed journals, and Google Scholar
Conference Papers: 23 papers in reputed national and international conferences (IEEE, etc.)
Books & Chapters: 1 National Book, 5 Book Chapters
Patents: 1 Design Patent Granted, 1 Technology Patent Published, 1 Design Patent Examined

Awards & Honors

Recognized as a NAAC Peer Team Member
Reviewer for prestigious publishers: IEEE, Elsevier, Springer, Wiley, Taylor & Francis, IET, and Inderscience
Consultant for industry and academia in software and cloud architecture, cybersecurity, healthcare informatics, and e-governance systems
Editorial roles in 6 refereed journals (3 international, 3 national)
Institutional Coordinator and President for national innovation and safety programs

📝Publication Top Notes

🔐 1. Hybrid-CID: Securing IoT with Mongoose Optimization

Authors: SM Sheeba, R.S. Shaji
Journal: International Journal of Computational Intelligence Systems, Vol. 18(1), pp. 1–18
Year: 2025
Summary: Proposes a hybrid Cryptographic-Identification (Hybrid-CID) framework enhanced by Mongoose Optimization for robust IoT security.

🚘 2. Enhancing Security in VANETs: Adaptive Bald Eagle Search Optimization-Based Multi-Agent Deep Q Neural Network for Sybil Attack Detection

Authors: M. Ajin, R.S. Shaji
Journal: Vehicular Communications, Article ID: 100928
Year: 2025
Summary: Introduces an advanced Sybil attack detection mechanism in Vehicular Ad-Hoc Networks using Adaptive Bald Eagle Search Optimization with Multi-Agent Deep Q-Networks.

🎥 3. Design of Approximate Multiplier for Multimedia Application in Deep Neural Network Pre-Processing

Authors: M.D.S., R.S. Shaji, Nelmin Bathlin
Conference: 3rd Congress on Control, Robotics and Mechatronics (CCRM)
Year: 2025
Summary: Develops an energy-efficient approximate multiplier for DNN-based multimedia pre-processing.

➗ 4. Design of Approximate Multiplier Using Highly Compressed 5:2 Counter

Authors: R.S. Shaji, S. Hariprasad, S. Shettygari, J.K. Vasan, V. Vijayan
Conference: 6th International Conference on Mobile Computing and Sustainable Informatics
Year: 2025
Summary: Presents a high-performance 5:2 counter-based multiplier aimed at improving computational efficiency in mobile systems.

⚡ 5. Enhancing Smart Grid Security Using BLS Privacy Blockchain With Siamese Bi-LSTM for Electricity Theft Detection

Authors: G. Johncy, R.S. Shaji, T.M. Angelin Monisha Sharean, U. Hubert
Journal: Transactions on Emerging Telecommunications Technologies, Vol. 36(1), e70033
Year: 2025
Summary: Proposes a secure smart grid framework using BLS Privacy Blockchain and Siamese Bi-LSTM to detect electricity theft with improved precision.

.Conclusion:

Dr. R.S. Shaji emerges as a strong and deserving candidate for the Research for Outstanding Educator Award. His long-standing commitment to research, mentorship, education leadership, and recent impactful publications in futuristic domains mark him as a transformative academician.

With minor enhancements in global research footprint, commercialization, and metrics transparency, he can not only justify this award but also aspire for national/international fellowships and innovation recognitions.

✔️ Verdict: Highly Suitable and Strongly Recommended for the award.

Ufuk Cem Komşu | Lifelong Learning | Best Researcher Award

Published on 15/05/202515/05/2025 by Network Science

Assist. Prof. Dr. Ufuk Cem Komşu | Lifelong Learning | Best Researcher Award

ufuk cem komşu at Mersin University, Turkey

Dr. Ufuk Cem Komşu is an Assistant Professor at Mersin University, Turkey, with extensive experience in adult education, lifelong learning, and distance education. With a professional journey spanning over two decades, he is recognized for integrating innovative pedagogies and interdisciplinary approaches in adult learning, urban studies, and digital education. His academic and administrative leadership in distance education continues to contribute significantly to Turkey’s educational reform in vocational and lifelong learning sectors.

🔹Professional Profile:

🎓Education Background

Ph.D. in Lifelong Learning & Adult Education, Institute of Educational Sciences, University of Ankara, 2014
Dissertation: “Adult Education and Urban Affairs in Turkey: Case of Karaduvar”
M.Sc. in Urbanization and Ecological Sciences, Institute of Social Sciences, Mersin University, 2003
Thesis: Socio-economic and developmental issues of Çiftlikköy district, Mersin
B.A. in Business Administration, Faculty of Political Sciences, Ankara University, 1995

💼 Professional Development

Assistant Professor, Mersin University, Vocational High School (Distance Education), 2018–Present
Engaged in teaching and research in lifelong learning, adult education, and distance education.
Assistant Manager, Distance Education Centre, Mersin University, 2019–Present
Responsible for curriculum design, assessment models, and examination systems for online learning programs.
Lecturer, Vocational High School of Erdemli, 2006–2018
Lecturer, Vocational High School of Anamur, 2003–2006

🔬Research Focus

Lifelong and adult learning
Distance education and digital pedagogy
Informal and non-formal education
Learning in senility and elder education
Poetry and handcrafting in adult education
Urban affairs and educational equity
New literacies and educational inclusion

📈Author Metrics:

Dr. Ufuk Cem Komşu has contributed to scholarly discourse in the fields of adult education, lifelong learning, and distance pedagogy through interdisciplinary research and academic publications. His work is cited in several academic platforms, reflecting a growing impact in the areas of informal learning, elder education, and digital teaching methodologies. He maintains an active presence on research networks such as Google Scholar, ResearchGate, and ORCID, where his publications and collaborative works are accessible to a global academic audience. His academic output continues to gain recognition for its practical relevance and innovative integration of social and educational sciences. While formal citation indices like h-index and i10-index are developing, his influence is particularly noted within Turkish academic and policy-oriented discussions in lifelong education.

📝Publication Top Notes

1. Financial Exploitation: A Qualitative Analysis from Türkiye

Authors: M.C. Samirkas, M. Samirkas Komsu, U.C. Komşu, S. Evci
Journal: International Journal of Financial Studies, 13(2), Article 81 (2025)
Objective: To explore patterns and perceptions of financial exploitation among vulnerable individuals in Turkey.
Methodology: Qualitative design using semi-structured interviews with victims and professionals in social work and finance.
Key Findings:

Financial exploitation often goes unreported due to shame or lack of awareness.
Elderly and dependent individuals are particularly at risk.
Education and early intervention mechanisms can reduce exploitation risks.
Contribution: Provides policy recommendations for financial literacy and protective legislation.

2. Lisans Öğrencilerinin Medya Ortamlarından Yararlanma Tercihleri: Kullanımlar ve Doyumlar Kuramı Ekseninde Bir Nitel Analiz Örneği

Author: U.C. Komşu
Journal: Bayterek Uluslararası Akademik Araştırmalar Dergisi, 7(2), 260–281 (2024)
Objective: To investigate university students’ preferences in using different media platforms through the Uses and Gratifications Theory.
Methodology: In-depth qualitative interviews with undergraduate students; thematic analysis.
Key Findings:

Social media is primarily used for social connection and entertainment.
Educational platforms are underutilized, even among motivated students.
Gratification is influenced by accessibility, speed, and interactive features.
Contribution: Suggests tailored media education strategies in higher education curricula.

3. Yaşlılık, Yaşlı Nüfusun Sorunları ve Yetişkin Eğitimi

Author: U.C. Komşu
Journal: The Journal of Academic Social Science, 2(2), 370–389 (2024)
Citations: 59
Objective: To analyze aging-related problems and the role of adult education in addressing those challenges in Turkey.
Methodology: Literature-based analysis combined with national statistical data.
Key Findings:

Psychological isolation and low participation in education are prominent issues.
Adult education positively impacts cognitive engagement and social inclusion.
Intergenerational learning is an underutilized solution.
Contribution: Advocates for national frameworks supporting lifelong learning for the elderly.

4. Evaluation of the Changes and Achievements Perceived in Graduate Tourism Education on the Basis of Transformative Learning Theory

Author: U.C. Komşu
Journal: Bartın University Journal of Faculty of Education, 13(2), 340–357 (2024)
Objective: To assess graduate students’ transformative experiences in tourism education.
Methodology: Qualitative case study; interviews and reflective journals from tourism graduate students.
Key Findings:

Students reported significant shifts in professional identity and critical awareness.
Experience-based learning and case studies facilitated transformation.
Structural limitations in curriculum hindered full engagement.
Contribution: Encourages incorporation of experiential and reflective methods in graduate education.

5. Postgraduate Students’ Perceptions of Research Self-Efficacy and Critical Thinking Disposition and Their Impact on Academic Creativity: Case of Mersin University

Author: U.C. Komşu
Journal: Turkish Online Journal of Educational Technology (TOJET), 20(4), 53–66 (2021)
Citations: 15
Objective: To examine how postgraduate students’ self-efficacy in research and critical thinking dispositions affect their academic creativity.
Methodology: Mixed-methods study using a survey (n=120) and in-depth interviews.
Key Findings:

High research self-efficacy correlates with increased academic creativity.
Critical thinking acts as a mediator between confidence and creative output.
Institutional support and mentoring amplify these effects.
Contribution: Offers actionable insights for academic development programs in graduate education.

.Conclusion:

Dr. Ufuk Cem Komşu demonstrates a clear alignment with the principles of impactful, interdisciplinary, and socially engaged research, especially in the evolving landscape of lifelong and adult learning. His work is not only theoretically grounded but also practically oriented—improving educational access, equity, and innovation for adult learners and underserved communities.

He is highly deserving of the Best Researcher Award, especially in domains such as:

Lifelong Learning & Distance Education
Educational Sociology
Adult and Elder Education Policy

Qinglan Wei | Artificial Intelligence | Best Researcher Award

Published on 13/05/202513/05/2025 by Network Science

Assist. Prof. Dr. Qinglan Wei | Artificial Intelligence | Best Researcher Award

Department chair at Communication University of China, China

Dr. Qinglan Wei is a distinguished researcher and Department Chair at the Communication University of China, specializing in artificial intelligence and multimodal affective computing. With a PhD from the School of Artificial Intelligence at Beijing Normal University, including joint training at Carnegie Mellon University, Dr. Wei has significantly contributed to AI advancements in group emotion analysis, video generation, and online public opinion analysis. His work has earned him numerous accolades, including the ChinaMM 2024 and BDSC 2023 paper awards, and third place in EmotiW.

🔹Professional Profile:

🎓Education Background

PhD in Artificial Intelligence, School of Artificial Intelligence, Beijing Normal University, with joint training at Carnegie Mellon University.

💼 Professional Development

Dr. Wei has led and participated in multiple national and provincial-level scientific research projects, including those funded by the National Natural Science Foundation and various ministries. As a professor and department chair, he oversees cutting-edge research in AI and multimodal affective computing, advancing AI applications in media, national defense, and education.

🔬Research Focus

Dr. Wei’s research focuses on multimodal affective computing, large model intelligent agents, group emotion communication, video generation, communication simulation, and the intelligent analysis of online public opinion. His work is at the intersection of AI, human-computer interaction, and social sciences, with applications spanning from media to public sentiment governance.

📈Author Metrics:

Published 14 papers in SCI/CCF Class A/SSCI journals, including 6 in the IEEE Transactions series.
Three national invention patents authorized, focusing on video emotion recognition, group emotion analysis, and intelligent shot generation.
Led 8 national and provincial research projects, with a citation index of up to 75 citations per article in prominent journals.

🏆Awards and Honors:

ChinaMM 2024 and BDSC 2023 paper awards for contributions to AI in multimedia.
Achieved third place in the EmotiW competition.
Led the development of the first group emotion analysis system for audio-visual programs.
Numerous patents in the field of video emotion recognition and multimodal computing.

📝Publication Top Notes

1. MEAS: Multimodal Emotion Analysis System for Short Videos on Social Media Platforms

Published: January 2024
Journal: IEEE Transactions on Computational Social Systems
Co-authors: Yaqi Zhou, Shenlian Xiang, Yuan Zhang
Summary: This article proposes a novel affective computing system (MEAS) designed for short videos on social platforms. It addresses challenges such as video resolution disunity and large-scale data collection. The system combines multiscale resolution adaptability and RoBERTa for efficient emotion analysis, improving the contributions of text modality. It also integrates automatic audio segmentation and transcription. The system outperforms the leading algorithm V2EM, achieving significant improvements in weighted accuracy and F1 scores. A new dataset, “Bili-news,” was also introduced to validate MEAS.

2. Public Emotional Atmosphere During Disasters: Understanding Emotions in Short Video Comments on the Zhengzhou Flood

Published: August 2023
Journal: Chinese Journal of Communication
Co-authors: Xiaohong Wang, Chen Zhang, Yichun Zhao
Summary: This paper explores how emotions in short video comments during disasters, specifically the Zhengzhou flood, can reflect and influence public sentiment. It offers insights into the emotional dynamics in online video commentaries during crises.

3. Influence and Philosophical Reflection on ChatGPT in the Media Industry

Published: August 2023
Type: Conference Paper
Co-authors: Yufan Xia, Beibei Wang
Summary: This paper analyzes the impact of ChatGPT on the media industry, considering its philosophical implications and the way AI influences communication and content creation.

4. FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference

Published: September 2022 (Preprint)
Co-authors: Xuling Huang, Yuan Zhang
Summary: The paper presents a fully multimodal system for fast yet effective emotion recognition from videos. It introduces a hierarchical attention method for sound spectra, a multi-scale approach for visual extraction, and a single-branch system for inference. The system significantly improves inference efficiency without compromising accuracy and reduces computational costs.

5. FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference

Published: January 2022
Journal: IEEE Transactions on Broadcasting
Co-authors: Xuling Huang, Yuan Zhang
Summary: This article addresses the challenges in video emotion analysis by proposing FV2ES, a system designed to efficiently process multimodal data from videos. It focuses on improving the contribution of acoustic modalities, optimizing visual extraction, and reducing computational costs for large-scale applications in social networks.

.Conclusion:

Dr. Qinglan Wei stands out as a front-runner for the Best Researcher Award due to his:

Strong academic output,
Innovative research systems (MEAS, FV2ES),
Real-world societal relevance,
Recognition in high-profile venues,
Leadership in multimodal AI.

His work exemplifies a rare blend of technical excellence, academic leadership, and social impact. With continued efforts toward open science and international outreach, he is poised to become a global thought leader in affective computing and AI-driven media analytics.

✅ Highly recommended for the Best Researcher Award.

Warusia Yassin | Cybersecurity | Best Researcher Award

Published on 13/05/202513/05/2025 by Network Science

Dr. Warusia Yassin | Cybersecurity | Best Researcher Award

Senior Lecturer at Universiti Teknikal Malaysia Melaka, Malaysia

Ts. Dr. Warusia Mohamed Yassin is a Senior Lecturer (DS51) at Universiti Teknikal Malaysia Melaka (UTeM), specializing in Security in Computing. With a professional background in system programming, engineering, and cybersecurity analysis, she has contributed significantly to academia and industry in the fields of anomaly detection, intrusion prevention, and cyber risk management. She is a certified professional technologist (Ts.) and an active researcher with numerous national and international publications and research projects.

🔹Professional Profile:

🎓Education Background

PhD in Computer Science (Security in Computing) – Universiti Putra Malaysia, 2015
Thesis: An Integrated Anomaly Intrusion Detection Scheme Using Statistical, Hybridized Classifier and Signature Approach.
Master of Science in Computer Science (Security in Computing) – Universiti Putra Malaysia, 2011
Thesis: An Improved Hybrid Learning Approach For Better Anomaly Detection.
Bachelor of Computer Science (Computer System) – Universiti Putra Malaysia, 2008

💼 Professional Development

Senior Lecturer, Universiti Teknikal Malaysia Melaka (2015 – Present)
Security Analyst, 2009
System Engineer, 2007
Lab Demonstrator, 2007
System Programmer, 2004

She has taught various undergraduate and postgraduate courses including Computer Programming, Intrusion Detection and Prevention, Cyber Threat Intelligence, and Risk Management.

🔬Research Focus

Her main research interests lie in Security in Computing, particularly:

Intrusion Detection Systems
Malware Analysis
Deep Learning and Machine Learning
Deepfake Detection
Biometric Authentication
Cybersecurity Risk Management
Blockchain-based Authentication
IoT Security and Forensics

📈Author Metrics:

Dr. Warusia has co-authored numerous high-impact publications in journals and conference proceedings. Key contributions include works on hybrid learning methods, anomaly detection, K-Means clustering with Naïve Bayes, and genetic algorithm applications for cybersecurity. Some notable journals include Information Technology Journal, Journal of Information Assurance and Security, and CyberSec Conference Proceedings.

🏆Awards and Honors:

Recipient of multiple industrial research grants including from CyberSecurity Malaysia, APNIC, and UTeM PJP.
Recognized consultant for national-level cybersecurity projects, including railway infrastructure security.
Active supervisor for PhD and Master students, with several completions under her mentorship.
Holds the Professional Technologist (Ts.) title in Malaysia, signifying certified expertise in technology application and innovation.

📝Publication Top Notes

1. Ransomware Early Detection using Machine Learning Approach and Pre-Encryption Boundary Identification

Authors: W. Zanoramy, M.F. Abdollah, O. Abdollah, S.M.W.M. S.M.M
Journal: Journal of Advanced Research in Applied Sciences and Engineering Technology
Volume: 6
Year: 2025
DOI: [Not provided]
Abstract: Proposes a machine learning-based ransomware detection model that identifies pre-encryption behavior to enable proactive intervention and minimize system damage.

2. Routing Protocols Performance on 6LoWPAN IoT Networks

Authors: P.S. Chia, N.H. Kamis, S.F. Abdul Razak, S. Yogarayan, W. Yassin, et al.
Journal: IoT
Volume: 6(1), Page 12
Year: 2025
DOI: [Not provided]
Abstract: Compares multiple routing protocols in 6LoWPAN-based IoT environments to determine optimal performance in terms of energy efficiency, packet delivery, and delay.

3. An Enhanced Integrated Deep Learning Method to Overcome Dehazing Issues on Intelligent Vehicles

Authors: W.M. Yassin, A.I. Hajamydeen, M.F. Abdollah, K. Raja, N. Farzana
Book Title: Sustainable Smart Cities and the Future of Urban Development
Pages: 487–502
Year: 2025
DOI: [Not provided]
Abstract: Introduces an integrated deep learning framework to enhance dehazing in vision systems of intelligent vehicles, contributing to safer navigation in urban smart environments.

4. Optimizing Android Malware Detection Using Neural Networks and Feature Selection Method

Authors: J. Bintoro, F.A. Rafrastara, I.A. Latifah, W. Ghozi, W. Yassin
Journal: Jurnal Teknik Informatika (JUTIF)
Volume: 5(6), Pages 1663–1672
Year: 2024
DOI: [Not provided]
Abstract: Combines neural networks with a tailored feature selection method to boost the accuracy and efficiency of Android malware detection.

5. Enhancing XGBoost Performance in Malware Detection through Chi-Squared Feature Selection

Authors: S. Rosyada, F.A. Rafrastara, A. Ramadhani, W. Ghozi, W. Yassin
Journal: Jurnal Sisfokom (Sistem Informasi dan Komputer)
Volume: 13(3), Pages 396–402
Year: 2024
DOI: [Not provided]
Abstract: Employs Chi-squared feature selection to enhance XGBoost’s ability to detect malware, streamlining the model and improving classification results.

.Conclusion:

Dr. Warusia Mohamed Yassin is undoubtedly a deserving candidate for the Best Researcher Award. Her significant academic achievements, coupled with her active involvement in high-impact research and industry projects, demonstrate her contribution to advancing cybersecurity. Her innovative research in anomaly detection, malware analysis, and deep learning makes her a leader in the field, and her continued success in mentoring and supervising graduate students ensures that her expertise will benefit the next generation of cybersecurity professionals.

Sukumar Letchmunan | Computer Science | Best Researcher Award

Published on 13/05/202513/05/2025 by Network Science

Dr. Sukumar Letchmunan | Computer Science | Best Researcher Award

Senior Lecturer at University Sains Malaysia, Malaysia

Dr. Sukumar Letchmunan is a Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia (USM), where he has been serving since 2012. He holds a PhD in Computer Science from the University of Strathclyde, UK, with a focus on pragmatic cost estimation for web applications. Dr. Sukumar has over two decades of academic and research experience, previously serving as a lecturer at Wawasan Open University, Cybernetics College of Technology, and a part-time lecturer at Universiti Putra Malaysia. His career spans teaching, curriculum development, research supervision, and leading national research grants. He is passionate about software engineering, agile project management, and integrating machine learning into practical computing applications.

🔹Professional Profile:

🎓Education Background

PhD in Computer Science
University of Strathclyde, UK
(Thesis: Pragmatic Cost Estimation for Web Applications) – 2013
Master in Computer Science (Software Engineering)
University Putra Malaysia – CGPA 3.479
Bachelor in Computer Science (Computer System)
University Putra Malaysia – CGPA 3.678
Diploma in Computer Science
University Putra Malaysia – CGPA 3.4

💼 Professional Development

Senior Lecturer
School of Computer Sciences, Universiti Sains Malaysia (USM) | Nov 2012 – Present

Programme Manager for Bachelor in Software Engineering
Lectures courses: Research Methodology, Software Quality, Software Testing, Discrete Structures, Software Requirement Engineering
Supervised 2 PhD and 8 Master students to graduation
Secured national research grants (e.g., FRGS) totaling over RM 400,000
Awarded “Employee of the Year 2022”
Served as Industrial Fellow under CEO@Faculty programme

Lecturer
Wawasan Open University (WOU) | Aug 2005 – Dec 2007

Developed and authored teaching modules
Published adapted academic book on Microsoft Office 2003

Lecturer
Cybernetics College of Technology (CICT) | May 2001 – Aug 2005

Coordinated diploma programs and supported student recruitment
Named “Best Lecturer” for three consecutive years (2002–2004)

Part-time Lecturer
Universiti Putra Malaysia (UPM) | Jun 2003 – May 2005

Taught core courses including Java Programming

🔬Research Focus

Software Engineering and Metrics for Web Applications
Agile Project Management & Software Cost Estimation
Machine Learning Applications in Software Systems
Energy-Efficient Software Design
Emotion Modeling for Intelligent Interfaces
Crime Hotspot Prediction Using Data Mining and Forecasting Techniques

📈Author Metrics:

Prolific Publisher: Over 20 peer-reviewed journal papers between 2020–2022 in journals such as Mathematics, Fractal and Fractional, Symmetry, and Journal of Applied Mathematics and Informatics.
Notable publications focus on q-analogues, (p,q)-polynomials, and solutions to differential equations.
His work is widely cited in the fields of analytic number theory, q-series, and special functions.

🏆Awards and Honors:

Employee of the Year – Universiti Sains Malaysia, 2022
Best Lecturer – Cybernetics College of Technology (2002, 2003, 2004)
Industrial Fellow – CEO@Faculty Programme
Successfully secured and managed multiple competitive national research grants

📝Publication Top Notes

✅ 1. Auto Feature Weighted C-Means Type Clustering Methods for Color Image Segmentation

Authors: S. Zhu, Z. Liu, S. Letchmunan, H. Qiu
Journal: Engineering Applications of Artificial Intelligence
Volume: 153
Article Number: 110768
Year: 2025
DOI: [Not provided – add if available]
Abstract: Proposes a novel clustering approach with automatic feature weighting to improve color image segmentation, enhancing performance in complex visual scenes.

✅ 2. Robust Multi-View Fuzzy Clustering with Exponential Transformation and Automatic View Weighting

Authors: Z. Liu, H. Qiu, M. Deveci, S. Letchmunan, L. Martínez
Journal: Knowledge-Based Systems
Volume: 315
Article Number: 113314
Year: 2025
DOI: [Not provided – add if available]
Abstract: Presents a fuzzy clustering framework that handles multiple data views using automatic weighting and an exponential transformation for better separation.

✅ 3. Novel Distance Measures on Complex Picture Fuzzy Environment: Applications in Pattern Recognition, Medical Diagnosis and Clustering

Authors: S. Zhu, Z. Liu, S. Letchmunan, G. Ulutagay, K. Ullah
Journal: Journal of Applied Mathematics and Computing
Volume: 71
Issue: 2
Pages: 1743–1775
Year: 2025
DOI: [Not provided – add if available]
Abstract: Introduces new distance metrics for picture fuzzy sets and demonstrates effectiveness in diverse uncertain environments.

✅ 4. START: A Spatiotemporal Autoregressive Transformer for Enhancing Crime Prediction Accuracy

Authors: U. M. Butt, S. Letchmunan, M. Ali, H. H. R. Sherazi
Journal: IEEE Transactions on Computational Social Systems
Year: 2025
DOI: [Not provided – add if available]
Abstract: Combines transformer architecture with spatiotemporal autoregression to improve predictive accuracy in urban crime analytics.

✅ 5. Construction of New Similarity Measures for Complex Pythagorean Fuzzy Sets and Their Applications in Decision-Making Problems

Authors: D. Wang, S. Letchmunan, J. Liao, H. Qiu, Z. Liu
Journal: Journal of Intelligent Decision Making and Information Science
Volume: 2
Pages: 156–173
Year: 2025
DOI: [Not provided – add if available]
Abstract: Proposes novel similarity functions to handle high-complexity fuzzy information in multi-criteria decision-making contexts.

.Conclusion:

Dr. Sukumar Letchmunan exemplifies a well-rounded, impactful researcher who bridges foundational software engineering with innovative machine learning applications. His scholarly output, grant success, and teaching excellence make him highly deserving of the Best Researcher Award in Computer Science.

🟩 Recommendation: Strongly Recommended

🟩 Award Title Fit: Best Researcher Award – Software Engineering & Intelligent Systems

Cheon Seoung Ryoo | Mathematics | Pioneer Researcher Award

Published on 13/05/202513/05/2025 by Network Science

Prof. Cheon Seoung Ryoo | Mathematics | Pioneer Researcher Award

Professor at Hannam University, South Korea

Professor Cheon Seoung Ryoo (兪天星) is a renowned mathematician and academic leader currently serving as a Professor in the Department of Mathematics at Hannam University, Korea. He also holds key administrative roles as the Dean of the College of Smart Interdisciplinary Engineering and the Director of the Institute of Mathematical Sciences at Hannam University. His research expertise lies in numerical analysis, scientific computing, and analytic number theory, particularly in the study of zeta functions, special polynomials, and boundary value problems.

🔹Professional Profile:

🎓Education Background

Ph.D. in Mathematics, Kyushu University, Japan, March 1998
Doctor of Science in Mathematics, Kyungpook National University, Korea, February 1995
M.A. in Mathematics, Kyungpook National University, Korea, February 1989
B.A. in Mathematics, Kyungpook National University, Korea, February 1987

💼 Professional Development

Professor, Hannam University, Korea (Apr 2011 – Present)
Associate Professor, Hannam University (Mar 2006 – Mar 2011)
Assistant Professor, Hannam University (Mar 2002 – Feb 2005)
Professor (BK21), Kyungpook National University (Sep 2000 – Feb 2002)
Full-time Researcher, POSTECH, Pohang (Jun 2000 – Sep 2000)
Full-time Researcher, Kyungpook National University (Jun 1998 – May 2000)

🔬Research Focus

Numerical Analysis and Interval Analysis
Scientific Computing related to PDEs and BVPs
Analytic and Algebraic Number Theory, including:
- Zeta and L-functions (both complex and p-adic)
- Special functions and polynomials (Euler, Bernoulli, Hermite, etc.)
- q-Calculus, (p,q)-extensions, and degenerate versions
Fractals and Visualization of Zeros
Mathematical Inequalities and Dynamic Equations

MSC Classifications: 65G20, 65N15, 11M06, 11M20, etc.

📈Author Metrics:

Prolific Publisher: Over 20 peer-reviewed journal papers between 2020–2022 in journals such as Mathematics, Fractal and Fractional, Symmetry, and Journal of Applied Mathematics and Informatics.
Notable publications focus on q-analogues, (p,q)-polynomials, and solutions to differential equations.
His work is widely cited in the fields of analytic number theory, q-series, and special functions.

🏆Awards and Honors:

While specific named awards are not listed in the vitae document, Professor Ryoo’s distinguished academic positions and prolific publication record are testament to his standing in the mathematical community. His leadership roles as Dean and Director at Hannam University reflect peer recognition and institutional trust in his contributions to research and education.

📝Publication Top Notes

1. On Some Extensions for Degenerate Frobenius-Euler-Genocchi Polynomials with Applications in Computer Modeling

Journal: Applied Mathematics in Science and Engineering
Publication Date: 2024-12-31
DOI: 10.1080/27690911.2023.2297072
Contributors: Waseem Ahmad Khan, Ugur Duran, Jihad Younis, Cheon Seoung Ryoo

2. On Certain Properties of Parametric Kinds of Apostol-Type Frobenius–Euler–Fibonacci Polynomials

Journal: Axioms
Publication Date: 2024-05-24
DOI: 10.3390/axioms13060348
Contributors: Hao Guan, Waseem Ahmad Khan, Can Kızılateş, Cheon Seoung Ryoo

3. Some Properties of Generalized Apostol-Type Frobenius–Euler–Fibonacci Polynomials

Journal: Mathematics
Publication Date: 2024-03-08
DOI: 10.3390/math12060800
Contributors: Maryam Salem Alatawi, Waseem Ahmad Khan, Can Kızılateş, Cheon Seoung Ryoo

4. Diverse Properties and Approximate Roots for a Novel Kinds of the (p,q)-Cosine and (p,q)-Sine Geometric Polynomials

Journal: Mathematics
Publication Date: 2022-07-31
DOI: 10.3390/math10152709
Contributors: Sunil Kumar Sharma, Waseem Ahmad Khan, Cheon-Seoung Ryoo, Ugur Duran

.Conclusion:

Professor Cheon Seoung Ryoo exemplifies the spirit of the Pioneer Researcher Award through:

A multi-decade commitment to mathematical research,
Outstanding contributions to q-series, special polynomials, and scientific computing, and
Distinguished academic leadership in a top Korean university.

While increased international visibility and recognition could further elevate his profile, his substantive, original, and sustained contributions position him as highly suitable for the Pioneer Researcher Award.

✅ Final Verdict: Strongly Recommended for the Pioneer Researcher Award

Nikolai Kocherginsky | Physicochemical Mechanics | Excellence in Research Award

Published on 09/05/202509/05/2025 by Network Science

Dr. Nikolai Kocherginsky | Physicochemical Mechanics | Excellence in Research Award

Founder at Next-ChemX, United States

Dr. Nikolai Kocherginsky is the Founder and Chief Scientist at Next-ChemX, a pioneering research-driven company developing advanced membrane technologies. With over four decades of global academic and industrial experience, he is renowned for his groundbreaking work in physicochemical mechanics, biomimetic membranes, and nontraditional separation processes. He has authored nearly 100 publications, secured over ten patents, and published two notable books on spin labels and physicochemical mechanics. His innovative research continues to impact fields such as energy storage, environmental engineering, and biochemical separation.

🔹Professional Profile:

🎓Education Background

Ph.D. in Chemical Physics – Institute of Chemical Physics, Moscow, USSR
M.S. in Chemistry – Moscow State University, Russia

💼 Professional Development

Dr. Kocherginsky has held several prestigious academic and research positions globally:

George A. Miller Visiting Scholar / Visiting Associate Professor, University of Illinois Urbana-Champaign (UIUC), USA
Visiting Professor, Naresuan University, Thailand
Lady Davis Fellow, Technion – Israel Institute of Technology
Associate Professor, National University of Singapore
Visiting Scholar, Dartmouth Medical School, USA
Faculty Fellow, Associated Western Universities, supported by the U.S. Department of Energy

In academia, he has taught a range of subjects including General, Organic, Physical Chemistry, and Membrane Science & Technology. He has developed innovative lab manuals, web-based learning materials, and new syllabi in multiple domains.

🔬Research Focus

Dr. Kocherginsky’s primary research focuses on biomimetic membranes and the development of Physicochemical Mechanics, a novel scientific framework based on Newtonian forces that redefines traditional thermodynamics. His innovations span:

Membrane-based redox reactions without mixing
Electrode-less redox flow batteries
Lithium, radioactive, and heavy metal separations
Oil/water separation and oxygen enrichment
Novel applications in food, pharmaceutical, and cosmetic testing

He has collaborated with both government and industry including DSO Singapore, Carbozyme NJ, and Miller Brewing Company.

📈Author Metrics:

Total Citations: 3,040+ (Google Scholar)
Publications: Nearly 100 peer-reviewed journal articles
Books:
1. Physicochemical Mechanics, Cambridge University Press, 2024
2. Nitroxide Spin Labels, CRC Press, 1995
Notable Journals: PNAS, Langmuir, Entropy, J. Membrane Science, J. Chemical Physics, among others

🏆Awards and Honors:

Research Recognition by the American Cleaning Institute (2022) for contributions to biomimetic membrane technology
Lady Davis Fellowship, Technion, Israel
Faculty Fellowship by the U.S. Department of Energy
Editorial subcontractor for the Journal of the American Chemical Society (JACS)

📝Publication Top Notes

1. Lagrangian for Real Systems Instead of Entropy for Ideal Isolated Systems

Author: N.M. Kocherginsky
Journal: ChemEngineering
Volume/Issue: 9(3), Article 44
Year: 2025
DOI: https://doi.org/10.3390/chemengineering9030044
Summary: Introduces a groundbreaking theoretical framework replacing traditional entropy-based thermodynamics with a Lagrangian mechanics approach for real systems, integrating transport and equilibrium laws without linear approximations.

2. Letter Regarding a Paper by D. Kalugin et al. on Superhydrophobic PES Dialysis Membranes

Author: N. Kocherginsky
Journal: Separation and Purification Technology
Article Number: 131632
Year: 2025
Summary: A scholarly letter discussing membrane innovation, addressing strengths and scientific implications of a recent publication on superhydrophobic polyether sulfone (PES) membranes in dialysis.

3. Lagrangian for Non-Isolated Systems Instead of Entropy for Isolated Systems

Author: N. Kocherginsky
Year: 2025
Summary: Further develops the concept of replacing entropy with Lagrangian analysis in open and interacting systems, extending the author’s new theory of physicochemical mechanics.

4. Physicochemical Mechanics Instead of Transition State Theory

Author: N.M. Kocherginsky
Journal: The Journal of Physical Chemistry A
Volume/Issue: 128(29), Pages 5856–5860
Year: 2024
Citations: 2 (as per Google Scholar)
Summary: Challenges the classical transition state theory by proposing a novel physicochemical approach grounded in Newtonian forces and potential surfaces.

5. Physicochemical Mechanics: With Applications in Physics, Chemistry, Membranology and Biology

Author: N. Kocherginsky
Publisher: Cambridge University Press
Pages: 376
ISBN: 978-1-108-42141-6
Year: 2023
Citations: 5 (as per Google Scholar)
Summary: A foundational text outlining the principles of physicochemical mechanics and its applications across scientific disciplines, providing theoretical and practical insights.

.Conclusion:

Dr. Nikolai Kocherginsky embodies the essence of excellence in research: vision, originality, and global relevance. His groundbreaking theoretical work on Physicochemical Mechanics, paired with decades of impactful research and translational innovation, makes him an exceptional and timely candidate for the Excellence in Research Award.

Recommendation: Strongly endorse nomination.

Qiujie Yuan | Reservoir Computing | Best Researcher Award

Published on 08/05/202508/05/2025 by Network Science

Mr. Qiujie Yuan | Reservoir Computing | Best Researcher Award

Qiujie Yuan at Nanjing University of Posts and Telecommunications, China

Qiujie Yuan is a graduate researcher in Integrated Circuit Science and Engineering at Nanjing University of Posts and Telecommunications, with a strong foundation in applied physics. With hands-on experience in phase transition engineering and flexible 2D semiconductor device research, he demonstrates a rare blend of interdisciplinary R&D, system-level thinking, and international collaboration. His work focuses on electrochemically modulated MoS₂ transistors and bio-inspired temporal processing, contributing toward advancements in low-power, intelligent sensing systems.

🔹Professional Profile:

🎓Education Background

Nanjing University of Posts and Telecommunications

M.S. in Integrated Circuit Science and Engineering
Sept 2023 – June 2026 (Expected)
B.S. in Applied Physics
June 2019 – June 2023
Core Courses: Matrix Theory, CMOS Analog IC Design, Digital IC Analysis & Design, Power Devices & IC Design, Intelligent Sensors & Integrated Applications, Semiconductor Optoelectronics

💼 Professional Development

Graduate Researcher – National Key R&D Program
Focus: Flexible 2D Semiconductor Devices

Designed MoS₂-based electrochemical transistor processes, achieving 7.8 cm²·V⁻¹·s⁻¹ mobility (23% improvement)
Built a reservoir computing prototype with 92.4% classification accuracy using STDP optimization
Established in situ electrochemical characterization protocols and multiphysics testbeds for over 160 parametric analyses
Spearheaded interdisciplinary development from polymer electrolyte material synthesis (PVA/MXene) to system-level algorithm integration

Notable Project: “Reservoir Computing Enabled by Polymer Electrolyte-Gated MoS2 Transistors for Time-Series Processing”

Introduced Li⁺-modulated phase transition for dynamic temporal processing
Reduced system hardware complexity by 60% with scalable virtual node design
Demonstrated successful material-to-system pipeline integration

🔬Research Focus

Phase transition engineering and ionic modulation
2D semiconductors and electrochemical transistor design
Reservoir computing and bio-inspired neuromorphic systems
Integration of materials, device physics, and intelligent sensing algorithms

📈Author Metrics:

Qiujie Yuan is an emerging researcher with growing contributions in the fields of 2D semiconductors and neuromorphic computing. His recent work, “Reservoir Computing Enabled by Polymer Electrolyte-Gated MoS₂ Transistors for Time-Series Processing,” has been recognized for its innovation in integrating material synthesis with algorithmic intelligence. Although early in his publication career, his research demonstrates strong potential for high-impact citation, particularly in interdisciplinary domains such as flexible electronics, intelligent sensing systems, and electrochemical device engineering. His work has attracted attention in both academic and industrial circles for its engineering applicability and novel use of ionic modulation in dynamic systems. As he continues publishing, his author metrics are expected to grow rapidly, especially given his involvement in national key R&D programs and international collaborations.

🏆Awards and Honors:

Second-Class Scholarship (Top 15%)
Third-Class Scholarship
Outstanding Graduate Cadre
CET-6 Score: 586 | National Graduate Entrance English Score: 84
Recognized for international technical collaboration across multilingual teams (Korea, Malaysia, Tunisia)

📝Publication Top Notes

1) Reservoir Computing Enabled by Polymer Electrolyte-Gated MoS₂ Transistors for Time-Series Processing

Journal: Polymers
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Publication Date: April 2025
Type: Journal Article
Volume/Issue: Vol. 17, Issue 9
Article Number: 1178
DOI: 10.3390/polym17091178
Authors: Xiang Wan, Qiujie Yuan (邱杰袁), Lianze Sun, Kunfang Chen, Dongyoon Khim, Zhongzhong Luo
Citations: 1 (as of current data)
Highlights:

Developed MoS₂-based electrochemical transistors with 23% improved field-effect mobility
Demonstrated a reservoir computing system with 92.4% classification accuracy
Reduced hardware complexity by 60% via scalable virtual node architecture

2) Performance Analysis of an Underwater Wireless Optical Communication Link with Lommel Beam

Journal: Physica Scripta
Publisher: IOP Publishing
Publication Date: 2024
Type: Journal ArticleAuthors: Yangbin Ma (Y. Ma), Xinguang Wang (X. Wang), Changjian Qin (C. Qin), Le Wang (L. Wang), Shengmei Zhao (S. Zhao)
Citations: 1 (as of current data)
Highlights:

Investigated the performance characteristics of Lommel beams in underwater optical communication
Analyzed signal degradation and beam propagation dynamics
Offers insights for high-capacity underwater wireless systems

.Conclusion:

Mr. Qiujie Yuan exemplifies a rare, high-potential interdisciplinary researcher who effectively bridges materials engineering, semiconductor device design, and AI-inspired computing architectures. His ability to integrate fundamental research with system-level applications and international collaboration marks him as a deserving candidate for a Best Researcher Award, especially in fields related to neuromorphic computing, flexible electronics, and intelligent sensing systems.

With continued publishing, diversified application trials, and increased visibility, Mr. Yuan is poised to become a key innovator in next-generation low-power AI hardware. He is not only suitable but highly recommended for recognition through this award.

Asheena Singh-Pillay | Sustainability | Best Researcher Award

Published on 07/05/202507/05/2025 by Network Science

Assoc. Prof. Dr. Asheena Singh-Pillay | Sustainability | Best Researcher Award

Associate Professor at University of KwaZulu-Natal, South Africa

Prof. Asheena Singh-Pillay is an Associate Professor of Technology Education and Academic Leader of the Bachelor of Education Programme at the University of KwaZulu-Natal (UKZN), South Africa. With over three decades of experience in education, she is recognized for her leadership in curriculum innovation, academic planning, and pedagogical transformation in higher education. She has been instrumental in national and international educational reforms, STEM advocacy, and professional development initiatives for teacher education.

🔹Professional Profile: