Shyamal Acharya | Engineering | Research Excellence Award

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Mr. Shyamal Acharya | Engineering | Research Excellence Award

Assistant Professor | Chittagong University of Engineering & Technology (CUET) | Bangladesh

Mr. Shyamal Acharya is an accomplished researcher and academic in Civil Engineering with a strong specialization in Water Resources Engineering, combining teaching excellence with applied research and consultancy experience. His scholarly work focuses on sustainable water management, hydrologic alteration, reservoir sedimentation, flood risk assessment, and performance evaluation of urban water supply systems, with particular relevance to the socio-economic and environmental context of Bangladesh. He has contributed peer-reviewed research published by internationally recognized publishers, addressing critical issues such as the impacts of hydraulic infrastructure on river systems and efficiency assessment of public water utilities. His research methodology integrates remote sensing, hydrological modeling, risk assessment frameworks, and institutional performance indicators to support evidence-based policy and engineering decisions. Alongside academic research, he has extensive professional experience in high-impact consultancy projects, including feasibility studies and structural design of port infrastructure, tourism development initiatives, dam stability assessments, and industrial water-related engineering solutions. His involvement in reservoir irrigation feasibility and flood mitigation studies reflects a strong commitment to climate resilience, food security, and sustainable infrastructure development. As an educator and mentor, he actively contributes to capacity building in water resources engineering and civil engineering practice. He is a Life Fellow of a national professional engineering body and maintains strong links with professional and development institutions, enabling effective knowledge transfer between academia, industry, and policy stakeholders. His profile demonstrates sustained contributions to research excellence, practical engineering impact, and national development priorities in water and environmental engineering.

Profile: Scopus

Featured Publications

Acharya, S. (2025). Performance assessment of a public water supply provider in Bangladesh. Urban Water Journal.

Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

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Mr. Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

State University of Campinas | Brazil

Mr. Salomon Dominique Edimo Kingue is a reservoir engineer and researcher specializing in enhanced oil recovery (EOR), reservoir simulation, and sustainable subsurface energy strategies. His expertise centers on FAWAG/WAG processes, CO₂ storage modeling, and integrated reservoir–production optimization for complex carbonate systems, particularly within Brazilian pre-salt environments. He is highly skilled in using CMG (IMEX, STARS, GEM, CMOST), Petrel, Python, and advanced analytical tools to investigate flow behavior, improve recovery efficiency, and reduce greenhouse gas emissions. His research spans numerical simulation of EOR mechanisms, uncertainty analysis, carbon capture and storage (CCS), fractured-vuggy reservoir upscaling, and evaluation of production potential in hydrocarbon basins. He has co-authored studies on underground LPG storage and reservoir performance prediction, and contributed to interdisciplinary projects involving major industry partners. His work also extends to geological interpretation, multidisciplinary collaboration, and scientific communication through symposiums, poster sessions, and peer-reviewed publications. Salomon combines strong analytical reasoning with leadership, teamwork, and effective communication, reflecting his commitment to innovation-driven reservoir management and the advancement of low-carbon energy solutions.

Profile: Orcid

Featured Publications

Kingue, S. D. E., Akinmuda, O. B., Kuiekem, D., & Djitchouang, G. L. (2025). Assessing the production potential of Niger Delta reservoirs under uncertainty using numerical simulation tools. Petroleum Science and Technology.

Kuiekem, D., Kingue, S. D. E., Boroh, W., Noupa, R. K., Matateyou, J., & Ngounouno, I. (2025). Simulation study of underground LPG storage in a depleted conceptual oil reservoir. Petro Chem Indus Intern, 8(2), 1–14.

Zhiqi Wu | Engineering | Best Researcher Award

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Ms. Zhiqi Wu | Engineering | Best Researcher Award

Student at Anhui University of Science and Technology | China

Zhiqi Wu is a Master’s student in Electrical Engineering at Anhui University of Science and Technology, specializing in computer vision applications for intelligent coal gangue detection. His research emphasizes developing lightweight, high-performance models that improve automation and efficiency in mining operations. Zhiqi proposed a novel model integrating multispectral imaging with knowledge distillation, achieving a precision increase of up to 6% while reducing model size by 21.8%, enabling deployment on mobile and edge devices for real-time sorting. This approach advances intelligent coal industry practices by combining computational efficiency with practical industrial applicability. Zhiqi’s work exemplifies the translation of advanced AI techniques into actionable solutions for industrial automation, with a focus on scalability, accuracy, and sustainability. His contributions are recognized in the research community, with 1 citation for his published work, highlighting its impact and relevance. To date, he has contributed to 4 documents in his research portfolio, reflecting his engagement in ongoing innovation and knowledge dissemination. While his h-index currently stands at 1, it represents a promising start in a career dedicated to applied AI in mining technologies. Zhiqi continues to explore methods for optimizing computer vision systems in industrial contexts, advancing automation, operational safety, and resource efficiency. His work bridges theoretical research and practical deployment, positioning him as an emerging researcher making measurable contributions to intelligent mining technologies.

Profile: Scopus

Featured Publications

Yan, P. (2025). Transformer fault diagnosis based on LIF technology and COA-GRU algorithm. Engineering Research Express, 7(2), 25409.

Lakshmikanthan P | Engineering | Best Researcher Award

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Dr. Lakshmikanthan P | Engineering | Best Researcher Award

Senior Scientist/Assistant Professor at Council for Scientific and Industrial Research – Fourth Paradigm Institute | India

Lakshmikanthan P is a Senior Scientist at CSIR-4PI, Bangalore, and an Assistant Professor at the Academy of Scientific and Innovative Research, recognized for his expertise in environmental engineering, climate change assessment, urban health risk, environmental forecasting, solid waste management, sustainability engineering, and ocean modeling. He has an extensive track record in research and academia, contributing through multiple roles as a scientist, assistant professor, and postdoctoral researcher. His work focuses on the characterization and management of municipal solid waste, landfill fires, gas emissions, leachate treatment, landfill mining, and sustainable waste solutions. He has published numerous journal articles, conference papers, book chapters, and technical articles, reflecting his dedication to advancing knowledge in environmental protection and sustainable urban management. He has guided and co-guided several Ph.D. and master’s students, mentoring the next generation of researchers. His research has significant recognition, with 488 citations overall (395 since 2020), an h-index of 12 (11 since 2020), and an i10-index of 15 (14 since 2020), demonstrating the impact and reach of his contributions. He is actively involved in professional organizations, including the American Society of Civil Engineers and the International Water Association, and has been honored with awards for research excellence. With expertise in diverse engineering and environmental software, computational modeling, and statistical analysis, his work bridges theoretical research and practical solutions. His contributions have shaped urban environmental management practices, improved landfill safety and sustainability, and enhanced scientific understanding of waste behavior, establishing him as a leading researcher in environmental engineering, sustainable waste management, and urban health risk assessment.

Profile: Google Scholar

Featured Publications

Lakshmikanthan, P., Babu, G. L. S., & Santhosh, L. G. (2015). Shear strength characteristics of mechanically biologically treated municipal solid waste (MBT-MSW) from Bangalore. Waste Management, 39, 63–70.
Cited by: 57

Chavan, D., Lakshmikanthan, P., Mondal, P., Kumar, S., & Kumar, R. (2019). Determination of ignition temperature of municipal solid waste for understanding surface and sub-surface landfill fire. Waste Management, 97, 123–130.
Cited by: 48

Babu, G. L. S., Lakshmikanthan, P., & Santhosh, L. G. (2014). Life cycle analysis of municipal solid waste (MSW) land disposal options in Bangalore City. In ICSI 2014: Creating Infrastructure for a Sustainable World (pp. 795–806). American Society of Civil Engineers (ASCE).
Cited by: 47

Manjunatha, G. S., Chavan, D., Lakshmikanthan, P., Singh, L., Kumar, S., & others. (2020). Specific heat and thermal conductivity of municipal solid waste and its effect on landfill fires. Waste Management, 116, 120–130.
Cited by: 45

Sivakumar Babu, G. L., & Lakshmikanthan, P. (2015). Estimation of the components of municipal solid waste settlement. Waste Management & Research, 33(1), 30–38.
Cited by: 43

Ashish Ranjan Dash | Engineering | Best Researcher Award

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Dr. Ashish Ranjan Dash | Engineering | Best Researcher Award

Associate Professor at Centurion University of Technology and Management | India

Dr. Ashish Ranjan Dash is a highly accomplished academic and researcher in the field of electrical engineering, specializing in power electronics, multilevel inverters, and power quality improvement. With a proven track record in research, teaching, and project leadership, he has significantly contributed to advancements in smart infrastructure, renewable energy systems, and IoT-enabled agricultural automation. He has also played a pivotal role in supervising doctoral students, developing innovative solutions for industrial applications, and leading consultancy projects for technology-driven agriculture and smart systems.

Publication Profile 

Scopus

Google Scholar

Educational Background 

Dr. Dash earned his Ph.D. in Power Electronics from the National Institute of Technology (NIT) Rourkela, focusing on cascaded multilevel inverter-based shunt active filters under varying grid voltage conditions. He also holds an M.Tech. in Power Control and Drives from NIT Rourkela, where his dissertation explored control strategies for grid-connected inverter systems during fault conditions. His academic foundation is further strengthened by a B.Tech. in Electrical Engineering and a Diploma in Electrical Engineering, complemented by a strong record of academic excellence throughout his studies.

Professional Experience 

With over a decade of academic and research experience, Dr. Dash serves as an Associate Professor at Centurion University of Technology and Management, Odisha. His prior roles include research and academic positions in engineering colleges and at the Council of Scientific and Industrial Research. He has held key administrative positions such as Dean and Associate Dean of the School of Engineering and CEO of the Smart Infrastructure Research Center, where he has led interdisciplinary projects integrating IoT, automation, and renewable energy systems.

Research Interests 

His research focuses on power electronics, multilevel inverter design, power quality enhancement, electric vehicle charging infrastructure, smart grid systems, and IoT-enabled automation. He also works extensively on agricultural automation, including polyhouse automation, speed breeding chambers, and plant phenotyping systems. Emerging interests include machine learning applications for plant disease detection, robotics, and smart farming technologies.

Awards and Honors 

Dr. Dash has received multiple accolades, including the Distinguished Achiever Award at the Provost Research Awards and recognition as a session chair at IEEE international conferences. He is the founder of a technology-driven startup and actively engages in professional communities such as the IEEE Power Electronics Society, IEEE Industry Applications Society, and IEEE SIGHT.

Research Skills 

He possesses strong expertise in the design, modeling, and implementation of cascaded multilevel inverters, power quality control algorithms, and renewable energy integration. His skills extend to IoT-based system design, automation technologies, electric vehicle charging systems, and cloud-based agricultural monitoring. He is also an experienced reviewer for several high-impact international journals in power electronics and smart grid applications.

Publications 

A unified control of grid-interactive off-board EV battery charger with improved power quality

Citations: 49

Year: 2022

Reactive power compensation using vehicle-to-grid enabled bidirectional off-board EV battery charger

Citations: 34

Year: 2021

Adaptive LMBP training‐based icosϕ control technique for DSTATCOM

Citations: 33

Year: 2020

Analysis of PI and PR controllers for distributed power generation system under unbalanced grid faults

Citations: 33

Year: 2011

Design and implementation of a cascaded transformer coupled multilevel inverter‐based shunt active filter under different grid voltage conditions

Citations: 24

Year: 2019

Conclusion 

Dr. Ashish Ranjan Dash is a forward-looking researcher and educator whose work bridges advanced power electronics with practical applications in smart infrastructure and agricultural automation. His multidisciplinary expertise, leadership in funded projects, and dedication to mentoring the next generation of engineers make him a valuable contributor to both academia and industry. His continued research promises innovative advancements in electric mobility, renewable energy integration, and intelligent automation systems.

Mutiu Shola | Electrical Engineering | Best Researcher Award

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Dr. Mutiu Shola | Electrical Engineering | Best Researcher Award

Kampala International University, Uganda

Dr. Bakare Mutiu Shola is a dedicated academic and researcher in the field of Electrical and Electronics Engineering. He holds a Ph.D. from Kampala International University, Uganda, an M.Eng. from the University of Ilorin, Nigeria, and a B.Eng. from the Federal University of Technology, Minna. His expertise spans renewable energy, smart grids, load forecasting, high-voltage technology, artificial intelligence, and power systems. With a rich background in both industry and academia, Dr. Bakare has contributed significantly through high-impact research publications in top-tier journals and active teaching roles in higher institutions.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Electrical and Electronics Engineering
    Kampala International University, Uganda (2022 – 2025)

  • Master of Engineering (M.Eng.) in Electrical and Electronics Engineering
    University of Ilorin, Nigeria (2017 – 2021)

  • Bachelor of Engineering (B.Eng.) in Electrical and Computer Engineering
    Federal University of Technology, Minna, Nigeria (2008 – 2014)
    Graduated with Second Class Upper Division

Professional Experience 💼

  • Assistant Lecturer
    Department of Electrical and Electronics Engineering, Kampala International University, Uganda
    (2022 – Present)
    Courses taught include Power Electronics, Power Quality Management, Circuit Theory, and Electrical Installation & Maintenance.

  • Research Assistant
    Advanced Power and Green Energy Research Group (APGER), University of Ilorin, Nigeria
    (2019 – 2022)

  • Physics & Mathematics Tutor
    Government Day Secondary School, Nigeria
    (2018 – 2019)

  • Site Engineer
    Thamar Engineering Company Ltd, Nigeria
    (2015 – 2018)
    Responsibilities included transformer installation, lighting, and generator setup.

Research Interests 🔬

  • Renewable Energy Systems

  • Energy Management

  • Load Forecasting

  • Smart Grid Technologies

  • Electrical Power System Optimization

  • Artificial Intelligence Applications in Power Systems

Awards and Honors🏆✨

  • Multiple Q1 and Q2-ranked journal publications in high-impact engineering journals such as Scientific Reports, Results in Engineering, Energy Reports, and Energy Conversion and Management: X.

  • Active participation in IEEE academic workshops and international conferences such as ICASSP 2020.

Conclusion🌟

Dr. Bakare Mutiu Shola is a rising scholar in electrical engineering with a strong background in both practical engineering and academic research. His consistent record of publications, academic service, and technical expertise in emerging power systems reflects his commitment to driving innovation in sustainable and intelligent energy solutions. With a future-focused mindset, Dr. Bakare is poised to make continued contributions to both academia and the global energy sector.

Publications 📚

  • 🧠 Comparative Evaluation of Different Fuzzy Tuning Rules on Energy Management Systems Cost Savings
    Ibrahim, O., Bakare, M. S., et al.
    📝 Results in Engineering (2025) – Q1 Journal

  • ☀️ Revolutionizing Solar Power: Enhancing Solar Power Efficiency with Hybrid GEP-ANFIS MPPT under Dynamic Weather Conditions
    Bakare, M. S., Abdulkarim, A., et al.
    📝 Scientific Reports (2025) – Q1 Journal

  • ⚙️ Energy Management Controllers: Strategies, Coordination, and Applications
    Bakare, M. S., Abdulkarim, A., et al.
    📝 Energy Informatics 7(1), 57 (2024) – Q2 Journal

  • 🔋 Predictive Energy Control for Grid-Connected Industrial PV-Battery Systems using GEP-ANFIS
    Bakare, M. S., Abdulkarim, A., et al.
    📝 e-Prime – Advances in Electrical Engineering, Electronics and Energy (2024) – Q1 Journal

  • 📈 A Hybrid Long-Term Industrial Electrical Load Forecasting Model Using Optimized ANFIS with Gene Expression Programming
    Bakare, M. S., Abdulkarim, A., et al.
    📝 Energy Reports 11, 5831–5844 (2024) – Q2 Journal

  • 💡 A Comprehensive Overview on Demand Side Energy Management Towards Smart Grids: Challenges, Solutions, and Future Direction
    Bakare, M. S., Abdulkarim, A., et al.
    📝 Energy Informatics 6(1), 1–59 (2023) – Q2 Journal

  • 🔧 Development of Fuzzy Logic-Based Demand-Side Energy Management System for Hybrid Energy Sources
    Ibrahim, O., Bakare, M. S., et al.
    📝 Energy Conversion and Management: X (2023) – Q1 Journal

  • 🔄 Simulation-Based Testing and Performance Investigation of Induction Motor Drives using MATLAB Simulink
    Makinde, K. A., Bakare, M. S., et al.
    📝 SN Applied Sciences 5(3), 73 (2023) – Q2 Journal

  • 🔍 Performance Evaluation of Different Membership Functions in Fuzzy Logic-Based Short-Term Load Forecasting
    Ibrahim, O., Bakare, M. S., et al.
    📝 Pertanika Journal of Science and Technology (2020) – Q3 Journal

 

 

 

Nawaz Ali | Engineering | Best Researcher Award

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Mr. Nawaz Ali | Engineering | Best Researcher Award

Student at University of Calabria, Sweden

Nawaz Ali is a telecommunications engineer, researcher, and academic with extensive experience in telecommunication networks, database management, and technical education. He has worked in various capacities, including industry roles in GSM networks, IT assistance, and academia, where he has contributed to research and curriculum development. His research interests focus on wireless communications, cognitive radio, vehicular networks, and cloud-based applications.

Publication Profile 

Google Scholar

Educational Background 🎓

  1. Master of Science in Applied Telecommunications and Engineering Management (MASTEAM)

    • Polytechnic University of Catalonia (BarcelonaTech), Spain (2017-2018)

    • Thesis: Performance Comparison of a Platooning Scenario Using EE 802.11p

  2. Master of Science in Mobile and Satellite Communication

    • University of Surrey, UK (2009-2010)

    • Thesis: Performance Evaluation of Spectrum Sensing Techniques in Cognitive Radio

  3. Bachelor of Engineering in Telecommunication Engineering

    • Mehran University of Engineering & Technology, Pakistan (2004-2007)

    • Thesis: Block Error Rate Analysis for WCDMA

  4. Certifications & Training:

    • 5G Implementation: Practices and Case Studies (ITU/Universiti Teknologi Malaysia, 2021)

    • Introduction to Internet of Things (IoT) Certification (Simplilearn, 2021)

    • Wireless Networks Certification Training (CellCom, 2005)

    • Optical Fiber Specialization (NA Telecom Technologies, 2006)

    • CCNA 5.0 (Computer Training and Testing Center, 2006)

    • Graduate Record Examination (GRE) (Score: 329/340)

Professional Experience 💼

  1. Assistant Professor (2014 – Present)

    • Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)

    • Teaching and supervising projects related to telecommunication engineering.

  2. Director Skill Standards & Curricula (BS-19) (2013)

    • National Vocational & Technical Training Commission (Pakistan)

    • Developed national occupational standards and curricula for technical training programs.

  3. Assistant Professor (2011-2013)

    • Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)

    • Delivered courses in telecommunication engineering.

  4. IT Assistant (2009-2010)

    • Shabester-Accountants & Tax Advisors (UK)

    • Managed database security, recovery, and user training.

  5. BSS Engineer (2008-2009)

    • Egyptian Pakistani Telecommunications Services (EPTSC) (Pakistan)

    • Installed and maintained GSM networks and microwave transmission links.

Research Interests 🔬

  • Wireless Communication Networks

  • Cognitive Radio & Spectrum Sensing

  • Internet of Things (IoT)

  • Vehicular Ad-Hoc Networks (VANETs)

  • Machine Learning for Communication Systems

Awards and Honors🏆✨

  • Secured research grants and collaborations in telecommunications.

  • Recognized for contributions to vocational education and training programs.

  • High GRE score (329/340).

Conclusion🌟

Nawaz Ali is an accomplished telecommunications engineer, educator, and researcher with expertise in mobile communication, network security, and IoT applications. His work spans both academia and industry, focusing on wireless networks and emerging technologies. His contributions to curriculum development and technical training have played a crucial role in advancing vocational and higher education in telecommunications.

Publications 📚

📌 Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud
📖 A. Lakhan, J. Li, T.M. Groenli, A.H. Sodhro, N.A. Zardari, A.S. Imran, …
📚 Electronics 10(22), 2797 (2021)
📊 Citations: 30

🚗 Adaptive Mobility-Aware and Reliable Routing Protocols for Healthcare Vehicular Network
📖 N.A. Zardari, R. Ngah, O. Hayat, A.H. Sodhro
📚 Mathematical Biosciences and Engineering 19(7), 7156-7177 (2022)
📊 Citations: 18

📡 Spectrum Sensing in ISM Band Using Cognitive Radio
📖 N. Sohu, N.A. Zardari, M.A. Rahu, A.A. Mirani, N.H. Phulpoto
📚 Quaid-E-Awam University Research Journal of Engineering, Science … (2019)
📊 Citations: 11

🖥 Implementation of Huffman Decoder on FPGA
📖 S.A. Dahri, A.F. Chandio, N.A. Zardari
📚 International Journal of Engineering Research & Applications 6(1), 84-88 (2016)
📊 Citations: 2

☁️ Simulators for System Dataset Generation in the Edge-to-Cloud Continuum
📖 N. Ali, G. Aloi, P. Pace, M. Gianfelice, F. Pupo, R. Gravina, G. Fortino
📚 20th International Conference on Distributed Computing in Smart Systems (2024)
📊 Citations: 1

🏭 Edge-Cloud Continuum Driven Industry 4.0
📖 N. Ali, G. Aloi, F. De Rango, C. Savaglio, R. Gravina
📚 Procedia Computer Science 253, 2586-2594 (2025)

🎨 Design and Development of GUI for the Mitigation of Chromatic Dispersion: A New Approach
📖 B. Das, N.A. Zardari, F. Deeba, D.K. Ramnani
📚 Sukkur IBA Journal of Emerging Technologies 5(1), 19-31 (2022)

Veronica Ngunzi | Engineering | Best Researcher Award

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Ms. Veronica Ngunzi | Engineering | Best Researcher Award

Tutorial Fellow at Kenyatta University, Kenya

Veronica Kavila Ngunzi is an experienced professional and educator with over a decade of expertise in renewable energy systems, energy efficiency, and program management. She has an in-depth understanding of Kenya’s power sector, including energy planning, socio-economic data analysis, and the role of development finance in advancing clean energy access. Her work focuses on sustainable energy solutions for critical sectors such as healthcare and agriculture, integrating technical expertise with community empowerment initiatives. She is skilled in energy auditing, hybrid systems design, and capacity-building programs, making significant contributions to the transition to clean energy in Kenya and beyond.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Renewable Energy Technology (Ongoing) – Kenyatta University, Nairobi, Kenya (2021 – Present)
  • Ph.D. in Agricultural Processing Engineering (Ongoing) – Jomo Kenyatta University of Agriculture and Technology (2020 – Present)
  • M.Sc. in Energy Management – University of Nairobi (2015)
  • B.Sc. in Agricultural Engineering (Double Degree, Second Class Upper Division) – Jomo Kenyatta University of Agriculture and Technology (2018)
  • Postgraduate Diploma in Project Management (Upper Credit) – Kenya Institute of Management (2012)
  • B.Sc. in Biomechanical and Processing Engineering (Second Class Upper Division) – Jomo Kenyatta University of Agriculture and Technology (2009)

Professional Experience 💼

Academic Roles

  • Tutorial Fellow, Kenyatta University, Department of Energy Technology (2020–Present)
    • Teaching and supervising courses in Energy Management, Thermodynamics, and Project Management.
    • Leading research on renewable energy solutions for healthcare and community-focused applications.
    • Guiding students on projects related to Kenya’s energy sector.

Research & Consulting

  • Research Assistant, Free Appropriate Sustainability Technology (FAST) Research Group, Western University Canada (2023–2024)

    • Conducted research on hybrid renewable energy systems for industrial applications.
    • Collaborated with global teams to develop scalable, sustainable clean energy solutions.

  • Energy Consultant (Freelance) – Kenya (2015–2023)

    • Conducted energy audits for industrial and agricultural facilities.
    • Designed hybrid renewable energy systems for critical sectors.
    • Engaged stakeholders to align energy solutions with national planning goals.

Leadership & Advisory Roles

  • Mentor, Women in Energy Empowerment, Accelerating Women’s Empowerment in Energy Program (2024 – Ongoing)

    • Mentoring women in STEM and renewable energy careers.
    • Conducting workshops to promote gender equity in the energy sector.

  • Technical Advisor & Project Team Leader, Milken-Motsepe Prize in Green Energy (2023)

    • Led the implementation of a hybrid solar PV and wind energy system with battery storage.
    • Achieved semifinalist recognition for innovative clean energy solutions.

  • Project Lead, Strathmore Energy Research Centre (SERC) & GIZ (2015–2017)

    • Led a bioenergy analysis project for 30 tea factories, identifying energy-saving opportunities.

  • Trainer, Ministry of Energy Kenya & UNDP (2017)

    • Developed and implemented a solar water heating training manual for Kenyan industries.

  • Researcher, Ministry of Higher Education Science & Technology (2012–2016)

    • Conducted research on biogas resource assessment and purification for household applications.

Research Interests 🔬

  • Renewable energy systems (solar PV, biogas, hybrid systems)
  • Energy efficiency and sector planning
  • Sustainable energy solutions for healthcare and agriculture
  • Socio-economic impacts of clean energy adoption
  • Gender and community empowerment in energy access

Awards and Honors🏆✨

  • Semifinalist, Milken-Motsepe Prize in Green Energy (2023)
  • UNESCO Mentorship Recognition, Accelerating Women’s Empowerment in Energy (2024)
  • Research Grant Recipient, Free Appropriate Sustainability Technology (FAST) Research Group

Conclusion🌟

Veronica Kavila Ngunzi is a dedicated researcher, educator, and renewable energy specialist committed to advancing sustainable energy solutions in Kenya and beyond. With expertise spanning energy policy, hybrid systems, and socio-economic data analysis, she has played a pivotal role in shaping inclusive and impactful energy transitions. Through research, mentorship, and technical innovation, she continues to drive progress in clean energy accessibility and gender equity in the sector.

Publications 📚

📄 Optimization of economics of biomass fuel mix for boilers in tea processing through response surface methodology
📚 Heliyon (2024-12) | 🏛️ Journal article
🔗 DOI: 10.1016/j.heliyon.2024.e40875
✍️ Contributors: Veronica K. Ngunzi, Christopher L. Kanali, Gareth M. Kituu, Erick K. Ronoh

📄 Modeling, simulation and performance evaluation of a PVT system for the Kenyan manufacturing sector
📚 Heliyon (2023-08) | 🏛️ Journal article
🔗 DOI: 10.1016/j.heliyon.2023.e18823
✍️ Contributors: Veronica Ngunzi, Francis Njoka, Robert Kinyua

📄 Analysis of Energy Cost Savings by Substituting Heavy Fuel Oil with Alternative Fuel for a Pozzolana Dryer: Case Study of Bamburi Cement
📚 American Journal of Energy Engineering (2015) | 🏛️ Journal article
🔗 DOI: 10.11648/j.ajee.20150306.13
📖 ISSN: 2329-1648

Ikhlef JEBBOR | Industrial engineering | Excellence in Research

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Dr. Ikhlef JEBBOR | Industrial engineering | Excellence in Research

ibn Tofail University at National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

A Ph.D. candidate in Sustainable Optimization of Manufacturing and Supply Chain with extensive experience in both academia and industry. Focuses on lean manufacturing, production optimization, and AI for sustainable development. Currently an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E), leading process improvements in the automotive industry. Expert in project management, operational research, and continuous improvement strategies such as Six Sigma and Kaizen. Has published numerous peer-reviewed articles and presented at international conferences on sustainability and advanced manufacturing techniques.

Professional Profile

Scopus Profile

Education:

  • Ph.D. in Sustainable Optimization of Manufacturing and Supply Chain (ENSA Kenitra, Ibn Tofail University, 2022 – Current)
  • State Engineer, Industrial Engineering (GI) (FST Errachidia, Moulay Ismail University, 2010 – 2013)
  • Physics & Chemistry Teacher Education Diploma (CPR Mohamed V SAFI, Morocco, 2009 – 2010)
  • Professional University Degree, Renewable Energies and Sustainable Development (ERDD) (Faculty of Sciences -Agadir, Ibn Zohr University, 2007 – 2009)
  • General University Degree, Physical Matter Sciences (SMP) (Faculty of Sciences -Agadir, Ibn Zohr University, 2005 – 2007)
  • BAC, Experimental Science (Salah Eddin Elayyoubi High School, Tinghir, 2005)

Professional Experience:

Sumitomo Electric Wiring Systems (SEWS-E)

  • Engineering Project Leader (Feb 2021 – Current)
  • Senior Project Engineer (Aug 2018 – Jan 2021)
  • Process Engineer (Sep 2015 – Aug 2018)
  • Work Study Engineer (May 2014 – Aug 2015)

Research Interests:

  • Facilities Design and Optimization
  • Lean Manufacturing
  • Production Planning and Scheduling
  • Supply Chain Management
  • Mathematical Modeling and Optimization

Awards and Honors:

  • Outstanding Project Leader Award
    Sumitomo Electric Wiring Systems (SEWS-E), 2022
    Recognized for leading key process improvements in automotive production, significantly enhancing efficiency and innovation.
  • Excellence in Lean Manufacturing Implementation
    Sumitomo Electric Wiring Systems (SEWS-E), 2020
    Awarded for implementing lean manufacturing strategies that resulted in significant cost savings and production efficiency.
  • Best Paper Award
    International Conference on Industrial Engineering and Applications (ICIEA), 2023
    Awarded for presenting the paper on “Improvement of an Assembly Line in the Automotive Industry: A Case Study in Wiring Harness Assembly Line.”
  • Research Excellence Award
    ENSA Kenitra, Ibn Tofail University, 2022
    For contributions to sustainable optimization of manufacturing and supply chain research, particularly in the automotive industry.
  • Innovation Award for Sustainable Practices
    Sustainability and Advanced Manufacturing Techniques Conference, 2023
    Honored for innovative research in applying AI and optimization techniques for sustainable manufacturing practices.

Conclusion:

With an extensive background in industrial engineering, lean manufacturing, and AI applications, I have consistently delivered impactful results in both academia and industry. My experience as an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E) and my ongoing doctoral research on the sustainable optimization of manufacturing and supply chain systems equip me with a strong foundation for tackling complex industry challenges.

Through my research, publications, and practical experience, I aim to contribute to the development of more efficient, sustainable, and innovative manufacturing processes. I am committed to driving continuous improvement through the application of cutting-edge methodologies such as Six Sigma, Kaizen, and AI-driven optimizations. As I continue to advance in both academia and industry, I strive to shape the future of sustainable industrial engineering and contribute to global efforts for sustainable development.

Publication Top Notes

  1. 📊 Article: Forecasting supply chain disruptions in the textile industry using machine learning: A case study
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Journal: Ain Shams Engineering Journal, 2024, 15(12), 103116
    • Citations: 1
  2. 🌍 Conference Paper: Optimization of Carbon Emissions in Asphalt Pavement Construction
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Manas Ranjan Sethi | ECE | Best Researcher Award

Published on by Innovation Technologist

Mr. Manas Ranjan Sethi | ECE | Best Researcher Award

Research Scholar at NIT Silchar, India

Manas Ranjan Sethi is a dedicated academic professional currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar, with a strong focus on machine learning applications in fault diagnosis and energy systems. He holds an M.Tech in Electronics & Telecommunication from BPUT, Odisha and has over 12 years of teaching experience, having worked as an Assistant Professor at Gandhi Institute for Technology (GIFT) and as a Lecturer at Koustuv Institute of Self Domain, Bhubaneswar. His research interests include machine learning, signal processing, and sustainable energy systems, particularly in wind turbine diagnostics and emotion recognition using EEG signals. Manas has contributed to numerous journals, conferences, and book chapters, and he has earned distinctions such as qualifying CBSE-UGC NET and GATE. He is also skilled in technical tools, enjoys singing, and has a passion for reading.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Manas Ranjan Sethi is currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar (since March 2020). He holds an M.Tech in Electronics & Telecommunication (Specialization in Communication Engineering) from BPUT, Odisha (2012), with a CGPA of 8.20. He completed his B.E. in Electronics & Telecommunication from BPUT, Odisha, in 2006, securing a 62.19%. Additionally, he completed his +2 Science and Matriculation from MP Board, Madhya Pradesh.

💼 Professional Experience :

Manas has a rich academic career spanning over 12 years. He served as an Assistant Professor in the Electronics & Communication Engineering Department at Gandhi Institute for Technology (GIFT), Bhubaneswar, from November 2013 to March 2020. Prior to that, he worked as a Lecturer in the Electronics & Telecommunication Engineering Department at Koustuv Institute of Self Domain, Bhubaneswar, from July 2007 to November 2013. He has a strong foundation in teaching and mentoring students in the field of Electronics and Communication Engineering.

📚 Research Interests : 

Manas’s research interests lie in the domains of Machine Learning, Signal Processing, and Fault Diagnosis. His work focuses on vibration signal-based diagnostics and energy extraction using wind turbines. He is passionate about leveraging machine learning techniques for predictive maintenance and condition monitoring. His recent research includes the application of meta-classifiers for diagnosing wind turbine blade faults and exploring emotion recognition through EEG signals.

🏆Achievements & Certifications :

Manas has earned several academic distinctions, including qualifying the CBSE-UGC NET (Electronic Science) in July 2018, and securing GATE scores of 260 (2016) and 218 (2011) in Electronics and Communication. He has also attended and contributed to various seminars, workshops, and short-term courses in fields such as VLSI Design, Microwave Filters, and Adaptive Signal Processing.

📝 Publication Top Notes :

  • Sethi, M. R., Subba, A. B., Faisal, M., Sahoo, S., & Koteswara Raju, D. (2024). Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal. Engineering Applications of Artificial Intelligence, 138, 109372.
  • Sethi, M. R., Sahoo, S., Dhanraj, J. A., & Sugumaran, V. (2023). Vibration Signal-Based Diagnosis of Wind Turbine Blade Conditions for Improving Energy Extraction Using Machine Learning Approach. Smart and Sustainable Manufacturing Systems, 7(1), 14–40.
  • Chatterjee, S., Sethi, M. R., & Asad, M. W. A. (2016). Production phase and ultimate pit limit design under commodity price uncertainty. European Journal of Operational Research, 248(2), 658–667.
  • Sethi, M. R., Parhi, S. S., Sahoo, S., Sugumaran, V., & Mohanty, S. R. (2023). Fault Diagnosis of Wind Turbine Blades Through Vibration Signal Using Filtered Cultivation Data: A Comparative Study. Proceedings of the 2023 IEEE Region 10 Symposium, TENSYMP 2023.
  • Kar, P., Hazarika, J., & Sethi, M. R. (2023). A Comparative Study between Supervised and Unsupervised Techniques for Two Class Emotion Recognition using EEG. Proceedings of the 2023 IEEE 8th International Conference for Convergence in Technology, I2CT 2023.
  • Banala, H. S., Sahoo, S., Sethi, M. R., & Sharma, A. K. (2023). Fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques. In R. Doriya, B. Soni, A. Shukla, & X. Z. Gao (Eds.), Machine Learning, Image Processing, Network Security and Data Sciences (Lecture Notes in Electrical Engineering, Vol. 946), 401–411. Springer, Singapore.
  • Sethi, M. R., Sahoo, S., Kanoongo, S., & Hemasudheer, B. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Rule Classifier. Proceedings of the 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET 2022), 1–6. doi: 10.1109/ICEFEET51821.2022.9848401.
  • Sethi, M. R., Hemasudheer, B., Sahoo, S., & Kanoongo, S. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Vibration Data through META Classifiers. Proceedings of the 2022 4th International Conference on Energy, Power, and Environment (ICEPE 2022), 1–5. doi: 10.1109/ICEPE55035.2022.9798026.