Sreenivasu S V N | Intelligent Sensing | Excellence in Research Award

Excellence in Research Award

Sreenivasu S V N
Affiliation Narasaraopeta Engineering College
Country India
Scopus ID 56565617500
Documents 58
Citations 288
h-index 9
Subject Area Computer Science, Artificial Intelligence, Machine Learning, Intelligent Sensing
Event Global Sensor Awards
ORCID 0000-0002-6049-911X

Sreenivasu S V N is an Indian computer science researcher, professor, academic administrator, and doctoral supervisor affiliated with Narasaraopeta Engineering College, Andhra Pradesh, India. His scholarly work spans artificial intelligence, machine learning, deep learning, cloud computing, Internet of Things (IoT), cybersecurity, data analytics, medical image processing, and distributed computing systems. Through extensive research publications, patents, books, doctoral supervision, and international collaborations, he has contributed to the advancement of intelligent computing and applied engineering research.[1]

Abstract

This article presents an overview of the academic achievements, research profile, scholarly publications, intellectual property contributions, and professional accomplishments of Dr. Sirasanagondla Venkata Naga Sreenivasu. His work demonstrates sustained engagement in advanced computing technologies, particularly in machine learning, artificial intelligence, cloud systems, healthcare analytics, network security, and intelligent decision-support systems. His research output includes peer-reviewed journal articles, conference proceedings, books, patents, and doctoral supervision activities that collectively contribute to the global advancement of computer science and engineering research.[2]

Keywords

Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Internet of Things, Healthcare Analytics, Data Mining, Image Processing, Computer Networks, Cybersecurity, Distributed Systems, Software Engineering.

Introduction

Sreenivasu has established a multidisciplinary research portfolio that integrates theoretical computer science with practical engineering applications. Over more than two decades of academic and administrative service, he has contributed to teaching, institutional leadership, doctoral mentoring, and research innovation. His work frequently addresses real-world challenges through the application of artificial intelligence, predictive analytics, healthcare technologies, and intelligent computing systems.[1]

Research Profile

Sreenivasu earned advanced qualifications in Information Technology, Computer Science and Engineering, and completed a doctoral degree focused on intrusion detection systems and network security. His academic career includes appointments as Professor, Principal, Vice Principal, Director, Associate Professor, and Assistant Professor across multiple higher education institutions in India. He has supervised numerous doctoral scholars and has contributed extensively to postgraduate and undergraduate education in computing disciplines.[1]

Research Contributions

  • Published more than 100 research papers in journals and conference proceedings.
  • Produced significant work in artificial intelligence, healthcare analytics, machine learning, deep learning, IoT, and cloud computing.
  • Guided and supervised multiple Ph.D. scholars across diverse computer science domains.
  • Contributed to international patents, copyrights, and technology-transfer initiatives.
  • Served as conference convener, session chair, reviewer, and research mentor for national and international events.

His research portfolio demonstrates a strong focus on intelligent systems for disease diagnosis, medical imaging, predictive modeling, smart environments, cloud-based healthcare platforms, and advanced optimization algorithms.[3]

Publications

Selected scholarly publications include research on deep neural networks, cardiovascular disease prediction, tongue image disease analytics, healthcare monitoring systems, cloud computing architectures, IoT-enabled smart systems, and machine-learning-based diagnostic platforms. Several works have appeared in Scopus-indexed and internationally recognized journals, including Big Data, BioMed Research International, Electronics, Cybernetics and Systems, and various IEEE conference proceedings.[3]

  • ODQN-Net: Optimized Deep Q Neural Networks for Disease Prediction Through Tongue Image Analysis.
  • Dense Convolutional Neural Network for Detection of Cancer from CT Images.
  • Cloud Based Electric Vehicle Temperature Monitoring System Using IoT.
  • Machine Learning Based Monitoring Systems Using Wearable Sensors.
  • Cardiovascular Disease Prediction Using Deep Variational Auto Encoder Models.

Research Impact

The research contributions of Dr. Sreenivasu have influenced multiple areas of intelligent computing, healthcare informatics, and engineering innovation. His publications have supported the development of machine-learning applications for medical diagnostics, smart healthcare infrastructure, cloud computing environments, and intelligent sensor networks. His patents further demonstrate translational research capabilities that extend beyond academic publication into practical technological implementation.[2]

Award Suitability

Sreenivasu’s scholarly achievements align strongly with criteria commonly used for international academic recognition awards. His record includes extensive peer-reviewed publications, doctoral supervision, book authorship, intellectual property generation, conference leadership, interdisciplinary research collaboration, and contributions to emerging technologies. These accomplishments demonstrate sustained academic productivity and a measurable impact on research, education, and technological innovation.[1]

Conclusion

Sirasanagondla Venkata Naga Sreenivasu represents a distinguished academic profile within the fields of computer science and intelligent systems research. His multidisciplinary contributions, sustained publication record, mentorship activities, and innovation-driven research agenda establish him as a noteworthy candidate for recognition in international research excellence and innovation award programs.[2]

References

  1. Academic Curriculum Vitae of Dr. Sirasanagondla Venkata Naga Sreenivasu, including education, professional experience, doctoral supervision, awards, patents, and academic achievements.
  2. Elsevier. (n.d.). Scopus author details: Dr. Sirasanagondla Venkata Naga Sreenivasu, Author ID 56565617500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56565617500
  3. Sreenivasu, S.V.N., et al. Selected Scopus-indexed publications in artificial intelligence, machine learning, healthcare analytics, cloud computing, and intelligent systems.
    https://doi.org/10.1089/big.2023.0014

Mlungisi Ntombela | Internet of Things (IoT) | Innovative Research Award

Innovative Research Award

Mlungisi Ntombela
Durban University of Technology (DUT), South Africa

Mlungisi Ntombela
Affiliation Durban University of Technology (DUT)
Country South Africa
Scopus ID 57558503600
Documents 14
Citations 194
h-index 5
Subject Area Electrical Engineering, Artificial Intelligence, Smart Grids, Electric Vehicles, Internet of Things
Event Global Sensor Awards
ORCID 0000-0001-6428-0257

Mlungisi Ntombela is a South African electrical engineer, academic researcher, lecturer, and certified engineering professional whose work bridges industrial engineering practice and advanced academic research. His expertise spans electrical power systems, artificial intelligence applications in smart grids, power system optimization, distributed generation integration, electric vehicles, reliability engineering, and project management. Through a combination of engineering leadership, research innovation, and higher education contributions, he has established a multidisciplinary profile that supports both technological advancement and engineering education.[1]

Abstract

This academic recognition article presents the professional achievements, research contributions, and engineering leadership of Dr. Mlungisi Eric Ntombela. His work integrates industrial engineering practice with advanced research in electrical power systems, smart grids, distributed generation, artificial intelligence optimization algorithms, and electric vehicle integration. His contributions include peer-reviewed publications, project engineering leadership, higher education teaching, and the development of innovative methodologies for power loss reduction and voltage profile enhancement in modern electrical networks.[2]

Keywords

Electrical Engineering, Smart Grids, Artificial Intelligence, Optimization Algorithms, Distributed Generation, Electric Vehicles, Power Systems, Reliability Engineering, Power Quality, Energy Systems, Research Innovation, Engineering Education, Project Engineering, Sustainable Energy.

Introduction

Dr. Ntombela’s career demonstrates a balanced integration of industrial engineering experience and academic scholarship. Holding a Doctor of Engineering in Electrical Engineering and a Government Certificate of Competency (Factories), he has contributed significantly to both utility-scale engineering operations and university-level education. His professional experience includes maintenance engineering, reliability management, risk assessment, project execution, research supervision, and curriculum development. These combined experiences have enabled him to address practical engineering challenges while advancing scientific knowledge in electrical power systems.[1]

Research Profile

The research activities of Dr. Ntombela focus primarily on electrical power system optimization, artificial intelligence applications in smart grids, distributed generation placement, electric vehicle integration, power quality improvement, and sustainable energy management. His academic work has investigated advanced hybrid optimization algorithms capable of minimizing network losses while improving voltage stability and operational efficiency in electrical distribution systems.[3]

Beyond research, he actively contributes to engineering education through lecturing, laboratory instruction, curriculum modernization aligned with Fourth Industrial Revolution (4IR) technologies, and mentoring of engineering students. His interdisciplinary perspective supports the integration of industry-driven solutions within academic environments.[4]

Research Contributions

  • Development and evaluation of optimization techniques for power network reconfiguration.
  • Research on distributed generation sizing and placement for power loss minimization.
  • Application of artificial intelligence hybrid algorithms in smart grid optimization.
  • Comprehensive studies on electric vehicle integration into modern power systems.
  • Voltage profile improvement methodologies for sustainable electricity networks.
  • Contributions to battery electric vehicle drive circuit technologies and operational analysis.
  • Research on renewable energy distributed generation and smart grid interoperability.
  • Engineering project management and reliability-centered maintenance methodologies.

Publications

  • Review of Optimization Techniques for Power Network Reconfiguration (SAUPEC 2022).
  • Power Loss Minimization and Voltage Profile Improvement by Distributed Generation Sizing and Placement (PowerAfrica 2022).
  • Power Loss Minimization and Voltage Profile Improvement by System Reconfiguration, DG Sizing, and Placement. Computation, 2022.
  • Artificial Intelligent Hybrid Algorithm Used for System Reconfiguration to Minimize Power Losses in the Distribution System.
  • Load Profile and Load Flow Analysis for a Grid System with Electric Vehicles Using a Hybrid Optimization Algorithm. Sustainability, 2023.
  • Reduction of Power Losses and Voltage Profile Improvement in a Smart Grid Incorporated with Electric Vehicles. Sustainability, 2023.
  • A Comprehensive Review of the Incorporation of Electric Vehicles and Renewable Energy Distributed Generation Regarding Smart Grids. World Electric Vehicle Journal, 2023.
  • A Comprehensive Review for Battery Electric Vehicles (BEV) Drive Circuits Technology, Operations, and Challenges. World Electric Vehicle Journal, 2023.

Research Impact

The research contributions of Dr. Ntombela address critical challenges associated with energy efficiency, renewable energy integration, electrical network optimization, and transportation electrification. His published studies provide analytical frameworks and computational techniques that support the development of resilient and sustainable power systems. These contributions are particularly relevant to emerging smart grid infrastructures and the increasing adoption of electric mobility technologies worldwide.[5]

In addition to scholarly outputs, his industrial experience in project engineering, risk-based inspection, reliability-centered maintenance, and operational management provides practical relevance to his research, strengthening the applicability of his findings in real-world engineering environments.[1]

Award Suitability

Dr. Mlungisi Eric Ntombela demonstrates strong suitability for recognition within engineering, energy systems, smart grid technologies, and applied artificial intelligence award categories. His profile combines advanced academic qualifications, impactful scientific publications, industrial engineering leadership, teaching excellence, and interdisciplinary innovation. His contributions align closely with the objectives of awards recognizing research excellence, technological innovation, sustainability, engineering leadership, and emerging contributions to future energy systems.[2]

Conclusion

Dr. Mlungisi Eric Ntombela represents a new generation of engineering professionals whose expertise spans industry practice, academic scholarship, and technological innovation. Through his work in electrical engineering, artificial intelligence, smart grids, and electric vehicle integration, he has contributed to advancing knowledge while addressing practical challenges facing modern energy systems. His combination of research productivity, engineering leadership, and educational service positions him as a notable contributor within the fields of electrical engineering and sustainable energy development.

References

  1. Ntombela, M. E. Professional Curriculum Vitae and Academic Profile.
  2. Ntombela, M., Musasa, K., & Leoaneka, M.C. (2022). Review of Optimization Techniques for Power Network Reconfiguration.
    https://doi.org/10.1109/SAUPEC55179.2022.9730628
  3. Ntombela, M., Musasa, K., & Leoaneka, M.C. (2022). Power Loss Minimization and Voltage Profile Improvement by System Reconfiguration, DG Sizing, and Placement.
    https://doi.org/10.3390/computation10100180
  4. Durban University of Technology. Academic Teaching and Research Activities.
  5. Ntombela, M., Musasa, K., & Moloi, K. (2023). A Comprehensive Review of the Incorporation of Electric Vehicles and Renewable Energy Distributed Generation Regarding Smart Grids.
    https://doi.org/10.3390/wevj14070176

Mr. Tomi Paalosmaa | Digital City Awards | Best Researcher Award

Mr. Tomi Paalosmaa | Digital City Awards | Best Researcher Award 

Mr. Tomi Paalosmaa, Vaasa University of Applied Sciences (VAMK), Finland

Tomi Paalosmaa is a Finnish innovation strategist, project manager, and researcher with a diverse professional background spanning smart city development, sustainability, and innovation ecosystems. Currently serving as a Senior Specialist, Project Manager, and Lecturer at the Design Centre MUOVA, Vaasa University of Applied Sciences, he leads co-creation initiatives and sustainability strategies in projects such as Design PSS and Enertelligence. His academic work focuses on energy transition, digitalization, stakeholder engagement, and trust in innovation ecosystems. With prior experience at the University of Vaasa’s InnoLab and City of Vaasa, he has contributed significantly to projects involving smart mobility, low-carbon strategies, and citizen engagement. A passionate advocate for mental health, Paalosmaa also lectures as an expert by experience in mental healthcare. Earlier in his career, he held executive roles in the Nordic film distribution industry. His interdisciplinary expertise bridges technology, design, policy, and community well-being, making him a unique contributor to both academic and applied innovation landscapes.

Professional Profile:

SCOPUS

Summary of Suitability: Tomi Paalosmaa – Research for Best Researcher Award

Tomi Paalosmaa is a highly versatile and impactful candidate for the Research for Best Researcher Award, distinguished by his multifaceted contributions to innovation ecosystems, smart city development, sustainability strategies, and user-centered co-creation in both public and private sector research environments. With a unique blend of academic insight, applied research, and practical innovation leadership, his work embodies the integration of research excellence with societal relevance.

🎓 Education

  • Doctoral Researcher (Ongoing)
    University of Vaasa – Innovation and ecosystem development, sustainability, energy transition, smart cities, co-creation, stakeholder engagement
    (Publications being written at JUFO level)

💼 Work Experience

🏛️ Academia & Research

  • Senior Specialist / Project Manager / Lecturer
    Design Centre MUOVA, Vaasa University of Applied Sciences (VAMK) | 2023–Present

    • Project Manager: 🇫🇮 Design PSS (Finnish Government), Enertelligence (EAKR), Port of Vaasa Innovation Ecosystem

    • Lecturer: Course on co-creation in innovation ecosystems (2025→)

    • Academic writer and ecosystem developer

  • Project Researcher
    University of Vaasa – InnoLab | 2022–2023

    • Research on transition risks, smart governance, trust-building, stakeholder co-creation

    • Port of Vaasa Innovation Ecosystem (POINT VaaSA)

🏙️ Public Sector & Smart City Development

  • Project Manager – Development
    City of Vaasa | 2021–2022

    • Developed EV car-sharing “Mini-Lifti”, smart mobility and energy projects

    • Applied for EU & national funding (Horizon, Interreg, Business Finland)

  • Project Manager & Coordinator
    City of Vaasa | 2020–2021

    • IRIS Smart Cities project replication & smart district planning

  • Internal Auditor & Quality Developer
    City of Vaasa | 2018–2020

    • Social services auditing and development work

🧠 Mental Health Advocacy

  • Expert by Experience
    Vaasa Central Hospital & Ostrobothnia Well-being Services County | 2016–Present

    • Delivered lectures, peer support, and therapy group facilitation in mental health fields

🎬 Creative & Media Industry

  • CEO / CCO / Director of Acquisitions
    Various film & media companies (Helsinki/Vaasa) | 2004–2015

    • Acquired and distributed international film rights across Nordic platforms

    • Managed VOD and digital film businesses globally

🏆 Achievements, Awards & Honors

  • 🥇 Innovation Scholarship – Ministry of Industry and Information Technology (2019)

  • 🧠 Recognized contributor in smart city innovation, stakeholder engagement, and co-creation practices

  • 📣 Speaker and workshop leader at conferences and development forums

  • 💬 Mental health lecturer and peer support contributor in Finnish healthcare system

  • 💼 Leader in public-private partnership development and sustainable innovation ecosystems

Publication Top Notes:

Smart Cities and Product-Service Systems—A Conceptual Framework for Urban Sustainability

Prof. Velislava Lyubenova | Online Monitoring Awards | Best Researcher Award

Prof. Velislava Lyubenova | Online Monitoring Awards | Best Researcher Award

Prof. Velislava Lyubenova, Bulgarian Academy of Science, Bulgaria

Professor Velislava Noreva Lyubenova is a distinguished Bulgarian researcher in the field of biotechnological systems and process control. Currently serving as the Scientific Secretary of the Institute of Robotics at the Bulgarian Academy of Sciences (IR-BAS), she also leads the Section of Mechatronic Bio/Technological Systems. With over three decades of research experience, she holds two doctoral degrees, including a Doctor of Technical Sciences, and has developed innovative methodologies for the monitoring and adaptive control of biotechnological processes. Professor Lyubenova has led or participated in more than 30 national and international research projects, including EU-funded Erasmus and Structural Fund programs. She has supervised multiple PhD students, delivered invited lectures at prestigious institutions globally, and published over 200 papers in high-impact journals. Her notable accolades include the “Marin Drinov” Young Scientist Award from BAS and memberships in international scientific organizations. A skilled communicator and academic leader, she continues to advance interdisciplinary research in bioengineering and control systems.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Best Researcher Award – Prof. Velislava Noreva Lyubenova

Prof. Velislava Noreva Lyubenova exemplifies the qualities of a top-tier candidate for the Best Researcher Award, with over three decades of sustained excellence in biotechnological process monitoring and control, and a robust leadership profile in national and international R&D projects. With dual doctoral degrees (Ph.D. and Doctor of Technical Sciences) and a long-standing affiliation with the Bulgarian Academy of Sciences, she has led or participated in over 29 major research projects—spanning EU programs, Structural Funds, and academic exchanges.

🎓 Education & Qualifications

  • 🧠 Doctor of Technical Sciences, Institute of Robotics – BAS (2016)

  • 🎓 Ph.D. in Technical Sciences, TU-Sofia (1988–1993) – Dissertation on parameter estimation and state variables in biotechnological processes

  • 📡 Radio Electronics Engineer, TU-Sofia, Faculty of Radioelectronics (1982–1987)

💼 Work Experience

  • 👩‍🔬 Scientific Secretary, Institute of Robotics – BAS & Member of PNEC Technical Sciences (2022–present)

  • 👩‍🏫 Professor & Head, Section “Mechatronic Bio/technological Systems”, IR-BAS (2017–present)

  • 🧪 Associate Professor, Bioengineering, ISRI-BAS (2015–2016)

  • 🧬 Associate Professor, Section “Bioengineering”, ISIR-BAS (2010–2015)

  • 🤖 Associate Professor, Adaptive & Robust Control Section, IUSI-BAS (2005–2010)

  • 🧠 Associate Professor, Knowledge-Based Management Systems, IUSI-BAS (2000–2005)

  • 🔬 Research Fellow, Adaptive Control & Knowledge-Based Systems, IUSI-BAS (1994–2000)

  • 👩‍💻 Research Fellow, Adaptive Control Section, Bioprocessing & Automation, BAS (1992–1994)

🏆 Achievements

  • 🧪 Developed innovative technologies for monitoring and control of biotechnological processes

  • 📊 Led and participated in over 29 projects (15 international, 14 national)

  • 🧑‍🏫 Supervised 3 Ph.D. students (2 completed, 1 ongoing)

  • 🖥️ Expert in MATLAB, LABVIEW, and Microsoft Office for biotechnological control systems

  • 🌍 Delivered 21 invited lectures (15 abroad, 6 in Bulgaria)

  • 📚 Published 200+ papers, many in high-impact journals like AIMS Bioengineering and Engineering in Life Sciences

🥇 Awards & Honors

  • 🏅 Marin Drinov Young Scientist Award, General Assembly of BAS (1998)

  • 🧬 Reviewer for major journals: Journal of Bioprocess and Biosystems Engineering, Processes, etc.

  • 📝 Editorial Board Member of multiple peer-reviewed journals

  • 🧑‍🔬 Member of multiple scientific and expert committees at BAS (including examination and academic jury panels)

  • 🌐 Member of 2 international and 1 national scientific organizations

Publication Top Notes:

A System Designed for Modelling, Monitoring, and Control of Fermentation Processes, Powered by Metaheuristic Algorithms

Contemporary Bioprocesses Control Algorithms for Educational Purposes

Simultaneous State and Kinetic Observation of Class-Controllable Bioprocesses

Escherichia coli cultivation process modelling using abc-ga hybrid algorithm

Investigation of fermentation regimes for the production of low-alcohol and non-alcohol beers

Metaheuristic Algorithms: Theory and Applications

Model-based monitoring of biotechnological processes-a review

Prof. Dr. Pinggang JIa | Fiber Sensing Awards | Best Researcher Award

Prof. Dr. Pinggang JIa | Fiber Sensing Awards | Best Researcher Award

Prof. Dr. Pinggang JIa, North University of China, China

Haiyang Wang is a Professor at the School of Semiconductor and Physics, North University of China, and a leading expert in high-temperature fiber optic sensing technology. He heads the Shanxi Provincial Youth Talent Team for Science and Technology Innovation and has led over ten national and provincial research projects, including those funded by the National Natural Science Foundation of China. With more than 30 SCI-indexed publications and an H-index of 15, he holds 9 national and 1 U.S. invention patents as first inventor. His work has earned him prestigious awards, such as the Wang Daheng Optical Award and the Shanxi Provincial Science and Technology Invention First Prize. He actively contributes as a reviewer for top-tier journals and national science bodies.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for the Best Researcher Award – Prof. Pinggang Jia

Prof. Pinggang Jia is exceptionally well-qualified for the Best Researcher Award based on his significant and sustained contributions to high-temperature fiber optic sensing technology and semiconductor physics. As a leading academic at North University of China, he has demonstrated both scientific leadership and innovation through over 20 major research projects, including those funded by national foundations and provincial strategic programs.

🎓 Education & Academic Background

  • Professor at the School of Semiconductor and Physics, North University of China

  • Background in optics, photonics, and fiber optic sensing technologies

  • Ph.D. in a relevant discipline (inferred from awards and position—exact degree info not provided)

💼 Work Experience

  • 📍 North University of China, Taiyuan, Shanxi

    • Currently serves as a Professor

    • Leader of the Shanxi Provincial Youth Talent Team for high-temperature fiber optic sensing

    • PI of over 10 major research projects including:

      • 🧪 National Natural Science Foundation Youth Fund

      • 🧪 National Major Special Projects

      • 🧪 Shanxi Provincial Key and Foundation Projects

      • 🤝 Industry-based R&D Projects

    • 🧠 Core member in more than 10 additional NSFC projects

🏆 Achievements

  • ✍️ Published 30+ SCI-indexed papers in top journals like:

    • Applied Physics Letters

    • Optics Letters

    • Optics Express

    • Sensors & Actuators B: Chemical

    • IEEE Sensors Journal

  • 📈 H-index: 15

  • 💡 10 Patents (9 Chinese + 1 U.S. Patent as first inventor)

  • 📰 Research featured in Laser Focus World, the leading global laser industry magazine

🎖️ Awards & Honors

  • 🥇 Wang Daheng Optical Award (Chinese Optical Society – College Student Award)

  • 🏅 Chongqing Outstanding Doctoral Dissertation Award

  • 🏆 First Prize – Shanxi Provincial Science and Technology Invention (4th author)

🧑‍⚖️ Professional Service

  • 🧾 Reviewer for:

    • Optics Letters, Optics Express, Journal of Micromechanics and Microengineering

  • 🧑‍🔬 Reviewer for:

    • National Natural Science Foundation of China

    • Ministry of Education Degree Center

    • Shanxi Science and Technology Projects

Publication Top Notes:

Broadband and high-sensitivity ultrasound sensing based on a low-noise random fiber laser with high-Q disordered grating array feedback

Small-scale magnetic soft robotic catheter for in-situ biomechanical force sensing

Wide tunable random fiber laser with sub-kHz narrow linewidth based on a disordered fiber Bragg grating array

Gamma-Ray Irradiation Effects on the Femtosecond Laser-Written Fiber Bragg Gratings

Ultrashort Weak Fiber Bragg Grating-Based High-Sensitivity Optical Fiber Sensor for Low Refractive Index Range

Femtosecond Laser-Inscribed Excessively Tilted Fiber Grating Sensor With CFBG for Simultaneous Measurement of Refractive Index and Temperature

Reflection-Type LPFG Temperature Sensor Based on CFBG Fabricated by Femtosecond Laser

 

Assist. Prof. Dr.Muhammad Umar Javed | Smart Mobility | Best Researcher Award

Assist. Prof. Dr.Muhammad Umar Javed | Smart Mobility | Best Researcher Award 

Assist. Prof. Dr.Muhammad Umar Javed, University of South Asia, Pakistan

Dr. Muhammad Umar Javed is a dedicated computer science researcher specializing in artificial intelligence, data science, and blockchain. He earned his Ph.D. in Computer Science from COMSATS University Islamabad, where his research focused on enhancing energy efficiency in electric vehicles within smart grids using blockchain technology. Holding an MS and BS in Electrical Engineering from Government College University, Lahore, his academic journey has been centered on innovative solutions for energy systems, including cost-effective photovoltaic implementations and mitigating electricity theft in power grids. With 31 research publications spanning journals and conferences, Dr. Javed is committed to advancing technological innovation in smart energy systems, AI-driven optimization, and blockchain applications.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: 

Dr. Muhammad Umar Javed is a highly qualified and prolific researcher in the fields of Artificial Intelligence, Data Science, and Blockchain. His research contributions focus on the application of blockchain technology in energy-efficient smart grids, electric vehicle energy trading, and cybersecurity for distributed systems.

🎓 Education

  • Ph.D. in Computer Science (2018-2023) – COMSATS University Islamabad, Pakistan
    📌 Thesis: Making Electric Vehicles Energy Efficient in Smart Grids using Blockchain
  • MS in Electrical Engineering (2015-2018) – Government College University, Lahore, Pakistan
    📌 Thesis: Cost-Effective Implementation of Large-Scale Photovoltaic Systems in Pakistan
  • BS in Electrical Engineering (2010-2014) – Government College University, Lahore, Pakistan
    📌 Final Year Project: Mitigating Electricity Theft in the Power Grids

💼 Work Experience

  • Computer Science ResearcherExpert in AI, Data Science & Blockchain
    • Focused on blockchain applications for smart grids and electric vehicles
    • Extensive experience in developing AI-driven solutions
  • Academic Contributor & ResearcherPublished 31 research articles
    • Contributions to peer-reviewed journals and conference proceedings
    • Research focus: Artificial Intelligence, Blockchain, Smart Energy Systems

🏆 Achievements & Contributions

  • ✅ Developed AI-powered blockchain solutions for energy-efficient electric vehicles
  • ✅ Contributed to smart grid advancements using decentralized ledger technology
  • ✅ Published 31 research papers in prestigious journals and conferences

🏅 Awards & Honors

  • 🥇 Best Research Contribution Award for work on AI & Blockchain in Smart Grids
  • 🏆 Top Cited Researcher Recognition for impactful publications
  • 🎖 Outstanding Academic Performance Award during Ph.D. studies
  • 🎓 Postgraduate Research Scholarship for academic excellence

Publication Top Notes:

CITED:197
CITED:160
CITED:115

Blockchain Based Data and Energy Trading in Internet of Electric Vehicles

CITED:106

An adaptive synthesis to handle imbalanced big data with deep siamese network for electricity theft detection in smart grids

CITED:77

Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Prof. Dr. Ewa Wanda Ziemba, University of Economics in Katowice, Poland

Prof. Ewa Wanda Ziemba is a distinguished Full Professor of Management at the University of Economics in Katowice, Poland. She holds multiple academic degrees, including a Ph.D. and postdoctoral habilitation in Economics, and has extensive expertise in social science, management, and information technologies. With a research focus on information systems and technologies for business, public administration, and sustainable development, she has published over 240 peer-reviewed papers, authored three books, and edited 24 volumes. Prof. Ziemba has played a pivotal role in more than 40 prestigious Polish and international research projects and is recognized for her contributions to the academic community, receiving numerous awards for her research excellence. She serves on the editorial boards of various international journals and is a member of the European Academy of Sciences and Arts. Prof. Ziemba is highly regarded in her field, being included in the top-cited scientists list by Stanford University in 2021.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Paper Award: Prof. Ewa Ziemba, Ph.D., D.Sc.

Prof. Ewa Ziemba is an outstanding candidate for the Best Paper Award due to her significant contributions to the fields of management and information systems over the past decade. As a Full Professor at the University of Economics in Katowice, she has demonstrated expertise in critical areas such as ICT adoption, sustainable development, and management information systems. Her research aligns with contemporary trends in technology and management, focusing on the intersection of information systems and societal development.

Education 🎓

  • M.Sc. in Economics (1984)
    University of Economics in Katowice
  • Ph.D. in Economics (1998)
    University of Economics in Katowice
  • Post Ph.D. (Habilitation) in Economics (2010)
    University of Economics in Katowice
  • Professor in Economics (2018)

Work Experience 💼

  • Full Professor
    University of Economics in Katowice (2019 – Present)
  • Head of Department of Business Informatics and International Accounting
    University of Economics in Katowice (2016 – Present)
  • Associate Professor
    University of Economics in Katowice (2011 – 2019)
  • Assistant Professor
    University of Economics in Katowice (1999 – 2011)
  • Assistant
    University of Economics in Katowice (1984 – 1999)
  • Ordinary Member
    European Academy of Sciences and Arts (2021 – Present)
  • Vice Head
    Silesian International School of Commerce (2009 – 2011)
  • Associate Professor, Head of Department of Informatics
    WSB University in Poznań (2004 – 2011)

Achievements 🌟

  • Published over 240 peer-reviewed papers, 3 books, and 24 edited volumes.
  • Included in the top 2% cited scientists list by Stanford University (2021).
  • Instrumental role in over 40 prestigious research projects.
  • Research expert for several organizations, including the National Centre for Research and Development in Poland and the Academy of Finland.

Awards and Honors 🏆

  • Prize of Polish Minister of Science and Higher Education for Excellent Research Achievement.
  • Excellence in Research & Scholarship Award.
  • Fellow & Distinguished Scholar Award.
  • 6 Silver and Bronze Journal Editor Awards.
  • 27 Awards of the Rector of the University of Economics in Katowice.
  • 10 Best Research Paper Awards, including recognition at the 30th International Conference on Information Systems Development (ISD’2022).

Publication Top Notes:

Behavioral Intention and Use of ChatGPT Among Accounting and Finance Students: A Two-Year Comparative Study

The determinants of ChatGPT usage among accounting students: the role of habit, social influence, and facilitating conditions

Environmental sustainability driven by ICTs: A Perspective of Enterprises and Government Units

Leveraging artificial intelligence to meet the sustainable development goals

Acceptance and Use of ChatGPT Among Accounting and Finance Higher Education Students

Prof Dr. Sara Paiva | Smart Cities | Best Researcher Award

Prof Dr. Sara Paiva | Smart Cities | Best Researcher Award

Prof Dr. Sara Paiva, Viana do Castelo Polytechnic Universiry, Portugal

Sara Paiva, an esteemed academic and researcher, is currently serving as an Assistant Professor and Pro-President for Information Systems at Viana do Castelo Polytechnic University in Portugal. Born on November 28, 1979, Sara has built a distinguished career marked by notable academic and professional achievements.Sara’s educational journey is both extensive and impressive. She holds a degree in Systems and Computer Engineering from Minho University in Braga, Portugal, which she completed in 2002. Her early passion for technology and engineering laid a strong foundation for her future endeavors. She then pursued a Ph.D. at Universidade de Vigo, where she focused on semantic technologies, specifically developing an architecture for guided search systems. She successfully defended her thesis in 2011, further cementing her expertise in the field.In her relentless pursuit of knowledge and innovation, Sara undertook a Post-Doctoral research project at Universidade de Oviedo from 2018 to 2021. As part of the SMIOT Research Group, she concentrated on Smart Mobility and Advanced Driving Assistants, areas that align with the burgeoning intersection of technology and everyday life.

Professional Profile

Education

  • Post-Doctorate (2018 – 2021):
    • Institution: Universidade de Oviedo
    • Research Group: SMIOT – Multimedia Services and Internet of Things
    • Research Area: Smart Mobility and Advanced Driving Assistants
  • Ph.D. (2007 – 2011):
    • Institution: Universidade de Vigo
    • Thesis Title: An architecture for guided search systems based on semantic technologies
  • Degree in Systems and Computer Engineering (1997 – 2002):
    • Institution: Minho University, Braga, Portugal

Work Experience

  • Assistant Professor:
    • Institution: Viana do Castelo Polytechnic University, Portugal
    • Roles and Responsibilities:
      • Teaching various courses in Systems and Computer Engineering.
      • Supervising student projects and theses.
      • Conducting research in Smart Mobility, Internet of Things, and related areas.
      • Serving as the Pro-President for Information Systems, overseeing the institution’s information systems and technology initiatives.

Research and Publications

Sara Paiva has a robust research portfolio, focusing primarily on smart mobility, advanced driving assistants, and the integration of semantic technologies in guided search systems. Her academic contributions include numerous publications in high-impact journals and conferences, reflecting her expertise in multimedia services and the Internet of Things.

 

Publications Notes:📄

Design Methodology for a Shared Mobility App

A Review of Use Cases of Gamification in Mobility Systems and Services

A Survey and Risk Assessment on Virtual and Augmented Reality Cyberattacks

Accessibility strategies to promote inclusive mobility through multi-objective approach

An Analysis on the Implementation of Secure Web-Related Protocols in Portuguese City Councils

An Augmented Reality Framework as a Solution to Enhance the Experience of Visiting a Museum

Assessing Cybersecurity Risks in BLE-based Asset Management Systems