Sheeba Rachel S | Machine Learning | Best Researcher Award

Published on 12/09/202512/09/2025 by Global Mechanics Awards

Mrs. Sheeba Rachel S | Machine Learning| Best Researcher Award

Assistant Professor | Sri Sai Ram Engineering College | India

S. Sheeba Rachel has contributed extensively to the fields of artificial intelligence, machine learning, deep learning, healthcare technologies, smart devices, image processing, cloud computing, and Internet of Things with publications including Cardiovascular Disease Prediction Using Machine Learning and Deep Learning, Heart Disease Prediction of an Individual Using SVM Algorithm, Automated Driving License Testing System, Real-Time Face Detection and Identification Using Machine Learning Algorithm for Improving the Security in Public Places Using Closed Circuit Television, LEARNAUT – Upgraded Learning Environment and Web Application for Autism Environment Using AR-VR, VATTEN – A Smart Water Monitoring System, Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model, EDSYS – A Smart Campus Management System, TRACKME – Smart Watch for Women, Women’s Safety with a Smart Foot Device, Mental Health Monitoring Using Sentimental Analysis, Facilitation of Multipurpose Gloves for Impaired People, Extending OVS with Deep Packet Inspection Functionalities, Courier Service Management and Tracking Using Android Application, Detecting the Abandoned Borewell Using Image Processing, Smart Hospitals E-Medico Management System, ADROIT LIMB – Brain Controlled Artificial Limb, Autonomous Movable Packrat for Habitual Chores, Postal Bag Tracking and Alerting System, Applying Social Network Aided Efficient Live Streaming System for Reducing Server Overhead, Image Fusion of MRI Images Using Discrete Wavelet Transform, Probabilistic Flooding Based File Search in Peer to Peer Network, Multi Stage for Informative Gene Selection, Mutual Information in Stages for Informative Gene Selection, Computation of Mutual Information in Stages for Gene Selection from Microarray Data, and several other impactful studies in international journals and conferences indexed in Scopus, IEEE, and UGC; she has further contributed to innovation through consultancy projects such as AI-based pre-examination dental software and non-invasive sugar detection using eye retina, authored books and chapters including Fundamentals of Machine Learning, Management Analytics and Software Engineering, Recent Trends in Engineering and Technology – Edge Computing, and secured patents like Artificial Intelligence Based Heart Rate Monitoring Device for Sports Training, IOT Based Washing Machine for Agricultural Crops, Human Identity Recognition System Using Cloud Machine Learning and Deep Learning Algorithms, Gesture Based Anti-Rape Device, while also holding active memberships with IEEE, ISTE, IEI, UACEE, IAENG, and IACSIT; her academic journey has been marked by mentorship of award-winning projects, reviewer and session chair responsibilities in international conferences, and recognition such as the Best Faculty Advisor Award demonstrating her influence in advancing technology-driven solutions for healthcare, safety, smart systems, and education through research, teaching, patents, and community engagement.

Profile: Google Scholar

Featured Publications:

Sudhan, M. B., Sinthuja, M., Pravinth Raja, S., Amutharaj, J., & Rachel, S. S. Segmentation and Classification of Glaucoma Using U‐Net with Deep Learning Model. Journal of Healthcare Engineering, 2022 (1), Article ID 1601354.

Raja, S. P., & Rachel, S. S. Women’s Safety with a Smart Foot Device. Proceedings of the 4th International Conference on Computing and Communications Technologies (ICCCT).

Raj, S. P., Kavitha, N. S., Rachel, S. S., & Suganthi, P. Smart Hospitals E-Medico Management System. International Journal of Recent Technology and Engineering, 8 (3), 4651–4655.

Rachel, S., Buvana, C., & Srinithi, S. LEARNAUT – Upgraded Learning Environment and Web Application for Autism Environment Using AR-VR. Proceedings of the 7th International Conference on Computing, Communication, Control and Automation (ICCUBEA).

Godwin, S., & Rachel, S. Mental Health Monitoring Using Sentimental Analysis. Annals of the Romanian Society for Cell Biology, 25 (5), 4397–4404.

Rachel, S. S., Azhagumeena, S., Rajakumari, S., & Madhumidha, A. Autonomous Movable Packrat for Habitual Chores. International Journal of Engineering and Technology, 429–431.

Gracia, S. V. J. B., Ponsam, J. G., Rachel, S. S., & Gayathiri, R. Software Robot for Next Generation Industries Using RPA. In Hyperautomation for Next‐Generation Industries, 35–53.

Rachel, S., Saranya, A., & Yashika, R. Automated Driving License Testing System. Proceedings of the International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).

Sinthuja, M., Pravinth Raja, S., Rachel, S. S., & Suganthi, P. Vision Enhancement Using Image Processing. Grenze International Journal of Engineering & Technology (GIJET), 10.

Sinthuja, M., Buvana, C., & Srinithi, S. Trackme – Smart Watch for Women Safety. Proceedings of the International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).

Rachel, S. S., & Kumar, P. Edsys: A Smart Campus Management System. Proceedings of the 1st International Conference on Computational Science and Technology (ICCST).

Rachel, S. Facilitation of Multipurpose Gloves for Impaired People. International Journal of Scientific Research in Engineering and Management, 5.

Rachel, S. S. Detecting the Abandoned Borewell Using Image Processing. Journal of Critical Review, 7 (14).

Rachel, S. S. Adroit Limb – Brain Controlled Artificial Limb. Journal of Emerging Technologies and Innovative Research, 6 (4).

Rachel, S. S. Postal Bag Tracking and Alerting System. In Proceedings of the International Conference on Knowledge Discovery and Computational Intelligence.

Rachel, S. R., & Azhagmeena, S. Image Fusion of MRI Images Using Discrete Wavelet Transform. Frontiers of Current Trends in Engineering and Technology, ISBN: 978-1537313573.

Sheeba Rachel, S., Tharunna, S. N., & Agathiya, V. K. Applying Social Network Aided Efficient Live Streaming System for Reducing Server Overhead. In Proceedings of the National Conference on Instrumentation, Electrical and Electronics Engineering (NCIEEE)

Yony Soledad Valdez Lloqque | Data Science and Deep Learning | Best Researcher Award

Published on 30/06/202530/06/2025 by Global Mechanics Awards

Ms. Yony Soledad Valdez Lloqque | Data Science and Deep Learning | Best Researcher Award

Ms. Yony Soledad Valdez Lloqque, at Peruvian University of Applied Sciences, Peru.

Soledad Valdez is an industrious and adaptable Industrial Engineering graduate from Universidad Peruana de Ciencias Aplicadas (UPC). With a passion for streamlined operations and safety management, she’s nurtured hands-on experience in distribution logistics, transportation, and SSOMA (Safety, Health, Environmental Management). As a proactive learner and collaborator, Soledad brings strong problem-solving skills and a commitment to continuous improvement. Her current role as an Internal Control Intern at Southern Perú Copper Corporation underscores her analytical mindset and dedication to organizational excellence. Fluent in Spanish and Quechua, with advanced English and basic French, Soledad’s cross-cultural communication further enhances her ability to drive efficient, safe, and sustainable supply chain solutions.

Professional Profile

ORCID

🎓 Education

Soledad earned her Industrial Engineering degree with a specialization in Supply Chain Management from UPC (2019–2024), demonstrating strong academic performance. She holds a Diploma in International Baccalaureate from COAR Cusco (2018) and completed professional development through a SSOMA Supervisor Diploma from the Colegio de Ingenieros del Perú in 2023. Additionally, she pursued a Supply Chain Management specialization at UPC (2022–2023), reinforcing her theoretical foundation. Complementing her technical education, Soledad completed courses in electronic invoicing, advanced Excel for business, and leadership workshops through UPC’s Grupo de Excelencia Académica in 2021—sharpening both her technical acumen and team leadership. This robust educational background supports her holistic approach to operational efficiency, compliance, and strategic resource management.

💼 Experience

Southern Perú Copper Corporation (Internal Control Intern, Jan 2025–present): Soledad aids in revising procedures, updating processes, and supporting internal risk-control systems via GR tools.
Terpel/ Mobil Perú (Distribution Intern, Jan 2024–Jan 2025): She enhanced lead time management through efficient bidding and transport scheduling. Soledad also automated export documentation using Power Apps/Power Automate and integrated supplier documentation in Drivin ERP to improve traceability.
ISAT Perú S.A.C. (Risk Prevention Officer, Jun 2023–Dec 2023): She revamped occupational risk assessments, launched a safety training program that increased compliance, and ensured adherence to regulatory safety standards.
Municipalidad Distrital de Chinchaypujio (Project Assistant, Jan 2023–Apr 2023): She supported strawberry-derivatives production workshops, optimized warehouse inventory by 35%, and improved HR productivity with reporting and tracking tools.

🔬 Research Interest

Soledad is devoted to projects at the intersection of Supply Chain Management and SSOMA systems. She’s particularly interested in optimizing distribution logistics through digital tools (e.g., ERP, Power Automation) to enhance traceability and reduce lead times. Another focal area is occupational health and safety metrics—integrating data-driven risk assessment and training to proactively prevent incidents. She’s also curious about sustainable resource use in industrial processes, tying environmental protocols into supply chain frameworks. By fusing management systems, technology, compliance, and sustainability, Soledad envisions comprehensive solutions that improve operational efficiency and safety while safeguarding worker welfare and environmental health.

🏅 Awards

Soledad’s accolades reflect her leadership and community impact. She earned recognition as a volunteer educator with EducaPiecitos (2019), where she taught integrated math and communication to 32 children in Villa María del Triunfo, and as a mentor to seven local producers in Chinchaypujio, training them in fruit-derivative production methods. Within university, she received academic distinction through UPC’s Excellence Academic Group leadership workshop (2021), and was awarded a Diploma of SSOMA Supervision by the Colegio de Ingenieros del Perú (2023). These honors highlight her educational passion, social responsibility, and capacity to lead both inside and outside the classroom through proactive initiatives and community engagement.

📚 Top Noted Publications

(Note: no formal peer-reviewed journal publications provided.)
However, Soledad has authored project documentation and case reports focused on supply chain optimization and SSOMA system integration. Though not published in journals, these contributions reflect her ability to blend academia with real-world operations—such as her automation project at Mobil and risk assessment modules at ISAT Peru—and her documentation serves as a strong foundation for future academic and professional publications.

1. “A Data‑Driven Lean Manufacturing Framework for Enhancing Productivity in Textile Micro‑Enterprises”

Journal: Sustainability (MDPI)
Publication Date: 5 June 2025
Volume & Issue: 17(11), Article 5207
DOI: 10.3390/su17115207 wrs.ojs.upv.es+6mdpi.com+6ideas.repec.org+6
Authors: Sebastian Tejada; Soledad Valdez; Orkun Yildiz; Rosa Salas‑Castro; José C. Alvarez openurl.ebsco.com+7mdpi.com+7ideas.repec.org+7

📌 Key Aspects

Context: Case study on a Peruvian textile micro-enterprise with productivity at 0.085 units per sol in 2023—~22.5% below the sector average of 0.13—leading to significant financial losses mdpi.com+4ideas.repec.org+4cris.upc.edu.pe+4.
Framework: Combined tools—5S, Total Productive Maintenance (TPM), process standardization, digitalization, and data analytics—to overhaul operations arxiv.org+12ideas.repec.org+12cris.upc.edu.pe+12.
Pilot Results:
- Productivity increased by ~0.10 unit/sol.
- Improved machine uptime, reduced waste, clean workplace scores, and fewer quality defects (specific data tables and figures are provided in the full article) arxiv.org+10ideas.repec.org+10cris.upc.edu.pe+10.
Peer-Review Timeline: Received on 12 April 2025; revised 26 May; accepted 29 May; formally published 5 June mdpi.com.

2. “Proposal of Redesign of Data‑based Lean Management‑Oriented Business Processes in the Textile Industry: Previous Diagnosis”

Conference: 10th International Conference on Innovation and Trends in Engineering (CONIITI 2024)
Dates & Venue: 2–4 October 2024, Bogotá, Colombia
DOI: 10.1109/coniiti64189.2024.10854836 journals.co.za+3researchgate.net+3cris.upc.edu.pe+3cris.upc.edu.pe+1cris.upc.edu.pe+1
Authors: Sebastian Tejada; Soledad Valdez; Rosa Salas‑Castro; José C. Alvarez; Orkun Yildiz openurl.ebsco.com+7researchgate.net+7cris.upc.edu.pe+7

📌 Highlights

Objective: Diagnose root causes of low productivity—machine unavailability, high failure, lack of standardization—via data-driven assessment researchgate.net+2cris.upc.edu.pe+2cris.upc.edu.pe+2.
Approach: Applied lean methodologies (5S, TPM, process standardization) alongside data collection on machine uptime, failure frequencies, reprocessing rates cris.upc.edu.pe+4cris.upc.edu.pe+4cris.upc.edu.pe+4.
Outcomes:
- Productivity elevated to 0.25 units/sol in the studied SME.
- Machine availability rose, and reprocesses dropped by ~20% journals.co.za+5cris.upc.edu.pe+5cris.upc.edu.pe+5.
Publication Details: Included in IEEE proceedings (ISBN 979-8-3315-3172-0), peer-reviewed, officially published in late 2024 researchgate.net.

🔗 Summary & Connection

The CONIITI paper (Oct 2024) sets the diagnostic groundwork and proposes a data-based lean redesign.
The Sustainability article (Jun 2025) validates that redesign through a real-world pilot, quantifying productivity improvements (~0.10 unit/sol) and operational gains.

Conclusion

Is Soledad Valdez a suitable candidate for the “Best Researcher Award”? Yes, but with reservations. Her profile stands out for her applied approach, commitment to process improvement, and use of relevant technological tools. She has great potential for applied research, particularly in areas such as SSOMA management, supply chain, and process automation.