Kevin Patel | Engineering | Best Industrial Research Award

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Mr. Kevin Patel | Engineering | Best Industrial Research Award

Quality Engineer – Lead | Futaba North America Engineering & Marketing Corp | United States

Kevin Patel is a research-driven quality innovation leader with over a decade of expertise in advanced automotive systems, high-reliability electronics, and cyber-physical manufacturing ecosystems, with a strong focus on AI-enhanced diagnostics, robotic automation, IoT-integrated quality informatics, and adaptive process control for next-generation industrial engineering. He earned his Bachelor of Engineering in Mechanical Engineering from Gujarat Technological University in 2017, followed by a Master of Engineering in Mechanical Engineering from the Illinois Institute of Technology, Chicago, in 2019, where he strengthened his foundations in design, manufacturing, and applied research. Professionally, he has contributed significantly across leading organizations including Futaba North America, Electronic Interconnect, Machined Products Co., and Hindustan Door Oliver, where he led initiatives in AI-driven defect detection, predictive scrap reduction, supplier quality systems, lean manufacturing, and digital process optimization. His research interests lie in the integration of artificial intelligence, IoT, and blockchain for predictive quality, defect prevention, and smart manufacturing ecosystems, with publications in reputed and indexed platforms covering topics such as self-healing production lines, generative quality networks, PCB optimization, and autonomous supplier ecosystems. He possesses strong research and technical skills including CAD and CAE tools (AutoCAD, SolidWorks, CATIA, Abaqus, Ansys), manufacturing quality tools (SPC, CAPA, DoE, DMAIC, Kaizen, GD&T), and advanced industry standards (ISO 9001, IATF 16949, AS9100). His certifications include IATF 16949/ISO 9001 Lead Auditor, Lean Six Sigma Green Belt, SolidWorks CSWA, and Autodesk AutoCAD Professional, reflecting his commitment to continuous professional growth. Kevin has also been recognized for his ability to bridge academic research with industrial application, authoring multiple Scopus and IEEE-indexed papers that demonstrate global relevance. With his multidisciplinary expertise, impactful publications, leadership roles, and future potential in advancing intelligent manufacturing, Kevin Patel stands out as an outstanding candidate for recognition, embodying both academic rigor and industrial innovation.

Profile: ORCID

Featured Publications

  1. Patel, K. (2025). AI-driven defect detection in PCB manufacturing: A computer vision approach using convolutional neural networks. European Journal of Advances in Engineering and Technology.

  2. Patel, K. (2025, July 29). AI+IoT+Blockchain triad for smart traceability in the automotive industry. International Journal of Research and Scientific Innovation.

  3. Patel, K. (2025, June 1). Agentic AI for self-healing production lines: Autonomous root cause analysis & correction. Journal of Information Systems Engineering and Management.

  4. Patel, K. (2025, June 1). Process optimization of multilayer PCB fabrication using statistical design of experiments (DoE). Journal of Information Systems Engineering and Management.

  5. Patel, K. (2025, April 12). Generative quality networks (GQNs): Leveraging GenAI to predict unprecedented defects in automotive manufacturing. International Journal of Science and Research (IJSR).

Akshatha P S | Engineering | Best Researcher Award

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Assist. Prof. Dr. Akshatha P S | Engineering | Best Researcher Award

Senior Assistant Professor | New Horizon College of Engineering | India

Dr. Akshatha P. S is a Senior Assistant Professor in the Department of Artificial Intelligence and Machine Learning at New Horizon College of Engineering, Bengaluru, where she has established herself as a committed academician and an innovative researcher. She earned her Ph.D. in Computer Science and Engineering from Bangalore University in 2023, focusing her doctoral research on enhancing the security and reliability of MQTT protocols in IoT networks. With a strong educational foundation and passion for advancing technology, she has accumulated several years of professional experience in teaching, research, and academic coordination, mentoring students while contributing significantly to the growth of her institution. Her research interests span across Computer Networks, Internet of Things, Artificial Intelligence, secure communication systems, and blockchain integration, reflecting her dedication to solving real-world problems through emerging technologies. She possesses excellent research skills, demonstrated by her prolific output of over 49 publications in high-impact platforms including IEEE Q1 journals, Scopus-indexed conferences, and Springer book chapters, along with 12 patents filed in areas such as IoT, AI, and blockchain-based solutions. Beyond research and teaching, Dr. Akshatha has actively engaged in professional memberships with IEEE, ORCID, and Scopus, which highlight her academic presence, while her leadership in organizing workshops, delivering invited talks, and contributing to knowledge dissemination reflects her broader academic and societal impact. Recognized for her contributions, she has been honored with accolades in research and innovation, further strengthening her professional reputation. In conclusion, Dr. Akshatha P. S embodies the qualities of a forward-looking researcher and dedicated educator whose work bridges academia and industry, and with her growing global presence, research vision, and commitment to student development, she continues to emerge as an inspiring figure and a deserving candidate for prestigious recognitions and awards.

Profile: Scopus | ORCID

Featured Publications

  1. Akshatha, P. S., & Dilip Kumar, S. M. (2023). Analysis and evaluation of MQTT brokers for e-Healthcare applications. IEEE Transactions on Industrial Informatics.

  2. Akshatha, P. S., & Dilip Kumar, S. M. (2023). Context-aware enhancement of buffer utilization in MQTT-based IoT communication. International Journal of Communication Networks and Distributed Systems. (In press).

  3. Akshatha, P. S., Divyashree, S., & Dilip Kumar, S. M. (2023). Priority-enabled MQTT: A robust approach to emergency event messaging. Journal of Engineering and Applied Science, Springer. (In press).

  4. Akshatha, P. S., & Dilip Kumar, S. M. (2023). MQTT and blockchain sharding: An approach to user-controlled data access with improved security and efficiency. Blockchain: Research and Applications, Elsevier. (In press).

  5. Akshatha, P. S., Dilip Kumar, S. M., & Venugopal, K. R. (2022). MQTT implementations, open issues, and challenges: A detailed comparison and survey. International Journal of Sensors, Wireless Communications and Control, 12(8), 553–576.

 

Saurabh Kumar | Engineering | Best Researcher Award

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Dr. Saurabh Kumar | Engineering | Best Researcher Award

Assistant Professor | IIMT University | India

Dr. Saurabh Kumar is an accomplished researcher in Civil and Environmental Engineering with a focus on water quality, corrosion monitoring, wastewater treatment, and sustainable engineering practices. He is currently serving as a Postdoctoral Researcher at Thammasat University, Thailand (July 2024 – June 2025). Prior to this, he worked as an Assistant Professor in the Department of Civil Engineering at IIMT University, Meerut, Uttar Pradesh, India (June 2023 – June 2024). His academic journey began with a B.Tech in Civil Engineering from Darbhanga College of Engineering, Bihar, under Aryabhatta Knowledge University (2013 – 2017), followed by an M.Tech in Environmental Engineering from the National Institute of Technology Patna (2018 – 2020). He pursued a Ph.D. in Environmental Engineering at NIT Patna, Ministry of Education, Government of India (2020 – 2023), where his research focused on “Monitoring and Modelling of Corrosion Rate in Drinking Water Distribution Network.” Dr. Kumar has a strong research profile, with publications in SCI, Scopus, and IEEE-indexed journals such as Environmental Science and Pollution Research, Journal of Materials Engineering and Performance, and Nature’s Scientific Reports. He has authored a book, contributed to book chapters with reputed publishers, and presented papers at multiple international conferences, including IEEE and Springer platforms. His work reflects the integration of conventional engineering with advanced tools such as machine learning for solving environmental challenges.

Profile: Scopus | ORCID

 Publications

  1. Kumar Saurabh, Singh R., Maurya N.S., Water quality analysis and corrosion potential of the distribution network of Patna, Bihar, India. J. Environ. Eng. Sci., 2022, 17(4), 164–174. (ESCI)

  2. Kumar Saurabh, Singh R., Maurya N.S., Assessment of corrosion potential based on water quality index in the distribution network of urban Patna, Bihar, India. J. Nat. Environ. Pollut. Technol., 2022, 21(5), 2117–2127. (Scopus)

  3. Kumar Saurabh, Singh R., Maurya N.S., Raj V., Monitoring of the corrosion in the pipeline of the distribution network using weight loss method & image processing technique. J. Mater. Eng. Perform., 2022. (SCI)

  4. Kumar Saurabh, Singh R., Maurya N.S., Modelling of corrosion rate in the drinking water distribution network using Design Expert 13 software. Environ. Sci. Pollut. Res., 2023. (SCI)

  5. Rajeev R., Kumar Saurabh, Singh R., Monitoring of traffic noise pollution in urban Patna, Bihar, India. Noise Vib. Worldwide, 2023. (Scopus)

  6. Kumar P., Kumar Saurabh, Kumar M., Chaubey A., Nayak J., Groundwater flow and solute transport modelling: A mathematical analysis. Indian J. Environ. Prot., 2024, 44(3), 257–264. (Scopus)

  7. Shivam H., Sharma D., Bansal T., Pande R., Kumar Saurabh, Weesakul U., In-vessel bioconversion of garden waste into compost with an emphasis on process efficiency and compost quality. Eng. Appl. Sci. Res., 2025, 52(1), 105–111. (Scopus)

Jennifer Blain | Engineering | Best Researcher Award

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Prof. Dr. Jennifer Blain | Engineering | Best Researcher Award

Professor of Electrical Engineering at Arizona State University | United States

Dr. Jennifer M. Blain Christen is a distinguished researcher in biomedical engineering with expertise in bio-MEMS, microfluidics, and point-of-care diagnostic systems. Her work focuses on developing innovative sensor technologies and low-cost medical devices that address critical healthcare challenges, including neural implants and hydrocephalus treatment. She has published extensively in leading journals and conferences such as IEEE Transactions, Biosensors and Bioelectronics, and Scientific Reports, with her research widely cited and indexed in Scopus. Beyond research, she has demonstrated strong leadership by mentoring students, guiding interdisciplinary collaborations, and advancing teacher training initiatives to bridge education and innovation. As an active member of professional organizations including IEEE and ACM, Dr. Blain Christen continues to expand her impact globally, contributing to both technological advancement and community-driven healthcare solutions.

Professional Profiles

Google Scholar | Orcid

Education

Dr. Jennifer M. Blain Christen holds a strong academic background in engineering, specializing in biomedical applications of circuits, sensors, and microsystems. She pursued advanced studies that focused on integrating bio-MEMS and microfluidics into healthcare technologies, with a doctoral degree that positioned her at the intersection of engineering and medicine. Throughout her academic journey, she gained expertise in diagnostic device design, neural stimulation systems, and point-of-care applications. Her education emphasized both theoretical foundations and hands-on research, equipping her with the ability to translate engineering principles into real-world medical solutions. With continuous learning as a guiding principle, she has built an educational foundation that not only shaped her career as a researcher but also enabled her to mentor the next generation of scientists and engineers effectively.

Experience

Dr. Jennifer M. Blain Christen has built an extensive professional career that blends academic research, teaching, and leadership in biomedical engineering. She has contributed significantly to interdisciplinary research projects involving medicine, engineering, and biotechnology, with a focus on advancing diagnostic devices and neural interface technologies. Her professional engagements include leading research teams, collaborating with global partners, and guiding students through innovative projects that merge scientific discovery with healthcare needs. She has also played a pivotal role in teacher training programs, ensuring knowledge dissemination across multiple levels of education. In addition, she actively participates in professional organizations, including IEEE and ACM, where she contributes to scientific dialogue and networking. Her professional experience demonstrates a commitment to bridging engineering and healthcare for transformative societal impact.

Research Interest

Dr. Jennifer M. Blain Christen’s research interests lie at the intersection of engineering and medicine, with a particular focus on biomedical circuits, microsystems, and point-of-care diagnostic technologies. She is deeply engaged in the design and development of microfluidic systems, neural implants, and low-cost healthcare devices that improve patient outcomes and accessibility. Her work also explores the integration of sensors, electronic circuits, and bio-MEMS to create innovative diagnostic tools with applications in neurological disorders, infectious disease detection, and resource-limited settings. She is motivated by the goal of delivering affordable, efficient, and scalable healthcare technologies that can address global challenges. Her research interests reflect a strong vision of advancing personalized medicine and providing sustainable solutions through engineering innovation and cross-disciplinary collaboration.

Awards and Honors

Dr. Jennifer M. Blain Christen has been recognized with numerous awards and honors that reflect her dedication to research excellence and academic leadership. These accolades highlight her innovative contributions to biomedical device development and her impact on the broader scientific community. Her recognition spans achievements in research publications, collaborative projects, and mentorship, underscoring her ability to translate engineering knowledge into meaningful healthcare advancements. She has also received acknowledgment from professional organizations and conferences where her work has been showcased for its originality, quality, and potential for global impact. These awards stand as a testament to her sustained contributions, professional excellence, and role as a thought leader in biomedical engineering. They further reinforce her status as a deserving recipient of prestigious research recognitions.

Research Skills

Dr. Jennifer M. Blain Christen possesses a diverse range of research skills that strengthen her ability to innovate in biomedical engineering. Her expertise spans microfabrication, circuit design, and microfluidics, enabling the development of advanced point-of-care diagnostic platforms. She is adept in biosensor integration, neural interface technologies, and device prototyping, allowing her to transform concepts into functional healthcare solutions. She demonstrates strong analytical and problem-solving abilities, applying them to design experiments, interpret data, and optimize system performance. Equally proficient in interdisciplinary collaboration, she brings together engineering, biology, and medicine to address complex challenges. Her skills also extend to mentoring, project management, and scientific communication, reflecting a holistic research capacity. Collectively, these skills highlight her as a versatile researcher capable of driving impactful innovations.

Publication Top Notes

Title: Design, fabrication, and testing of a hybrid CMOS/PDMS microsystem for cell culture and incubation
Year: 2007
Citation: 104

Title: Eccrine sweat as a biofluid for profiling immune biomarkers
Year: 2018
Citation: 87

Title: Application of flexible OLED display technology for electro-optical stimulation and/or silencing of neural activity
Year: 2014
Citation: 81

Title: A compact, low-cost, quantitative and multiplexed fluorescence detection platform for point-of-care applications
Year: 2018
Citation: 60

Title: Seamless integration of CMOS and microfluidics using flip chip bonding
Year: 2013
Citation: 60

Title: Application of flexible OLED display technology to point-of-care medical diagnostic testing
Year: 2016
Citation: 58

Title: Application of flat panel OLED display technology for the point-of-care detection of circulating cancer biomarkers
Year: 2016
Citation: 50

Title: Experimental and simulated cycling of ISFET electric fields for drift reset
Year: 2013
Citation: 44

Title: Application of flexible flat panel display technology to wearable biomedical devices
Year: 2015
Citation: 37

Title: Biosensing platform on a flexible substrate
Year: 2015
Citation: 34

Title: Real-time feedback control of pH within microfluidics using integrated sensing and actuation
Year: 2014
Citation: 34

Title: Energy-efficient image recognition system for marine life
Year: 2020
Citation: 29

Title: Demonstration of spike timing dependent plasticity in CBRAM devices with silicon neurons
Year: 2016
Citation: 25

Title: A self-powered single-axis maximum power direction tracking system with an on-chip sensor
Year: 2015
Citation: 22

Title: Fully differential current-mode MEMS dual-axis optical inclination sensor
Year: 2013
Citation: 22

Title: Optogenetic neurostimulation of auricular vagus using flexible OLED display technology to treat chronic inflammatory disease and mental health disorders
Year: 2016
Citation: 21

Title: Integrated high-resolution untethered flexible neural implant
Year: 2020
Citation: 20

Title: System and method for ion-selective, field effect transistor on flexible substrate
Year: 2019
Citation: 19

Title: Pulse width modulation circuit for ISFET drift reset
Year: 2013
Citation: 18

Title: On-chip sensor for light direction detection
Year: 2013

Conclusion

In conclusion, Dr. Jennifer M. Blain Christen is a highly accomplished researcher and leader whose contributions to biomedical circuits, microfluidics, and point-of-care diagnostics have significantly advanced healthcare innovation. Her strong educational foundation, coupled with extensive professional experience and interdisciplinary research, positions her as a global authority in biomedical engineering. She has combined her technical expertise with visionary thinking to create low-cost, accessible healthcare solutions that address pressing medical needs. With numerous publications, awards, and active involvement in professional organizations, she continues to influence both academic and professional communities. Her dedication to mentoring and knowledge sharing further underscores her commitment to shaping future innovators. Dr. Blain Christen’s impactful career demonstrates excellence, leadership, and an enduring drive to bridge engineering and medicine for societal benefit.

Shima Sadaf | Engineering | Excellence in Research Award

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Assist. Prof. Dr. Shima Sadaf | Engineering | Excellence in Research Award |

Assistant Professor at King Faisal University, Saudi Arabia.

Dr. Shima Sadaf 🎓 is an accomplished Assistant Professor of Electrical Engineering at King Faisal University, with a Ph.D. (Distinction & Gold Medal) from Qatar University. Her impactful research spans digital twins, AI-driven power electronics ⚡, micro/nano-grids, and sustainable energy solutions 🌱. With 31 publications, two patents—including a US patent—and multiple awards 🏆 such as the LEWAS 2024 Academic Achievement Award, she demonstrates innovation and leadership. Her industry experience with Hyundai and ETA enriches her applied research. A dedicated mentor, active reviewer for top IEEE journals 📚, and certified LEED AP BD+C and PMP® professional, Dr. Sadaf combines advanced research with practical solutions for modern power systems. Her work continues to bridge academia, industry, and sustainability, driving real-world impact and inspiring future engineers.

Professional Profile

Google Scholar

Orcid Profile

📚 Education

Dr. Shima Sadaf holds a Ph.D. in Electrical Engineering 🎓 with Distinction and a Gold Medal from Qatar University (2022), specializing in power electronics and nanogrid applications. She earned her M.Tech with Honors in Power Systems & Drives (2007) and B.Tech in Electrical Engineering (2004) from Aligarh Muslim University, India. Her strong academic foundation blends advanced theory, practical design, and cutting-edge technologies ⚡. Her thesis focused on high-gain DC-DC converters for nanogrids, laying a robust base for sustainable energy research. Committed to continuous learning, she has also achieved professional certifications like LEED AP BD+C and PMP® 🏅, enhancing her expertise in sustainable design and project management. Dr. Sadaf’s educational journey reflects a balance of academic rigor, innovation, and practical relevance.

💼 Professional Experience

Dr. Shima Sadaf’s career integrates academia and industry seamlessly. Currently an Assistant Professor 👩‍🏫 at King Faisal University, she actively develops curricula, mentors students, leads accreditation processes, and designs innovative programs in electrical engineering. Previously, she served as a Graduate Teaching Research Assistant at Qatar University, contributing significantly to teaching and laboratory innovation. Before academia, Dr. Sadaf spent nearly a decade in industry 🏗️ as an Electrical Design Engineer with Hyundai Engineering & Construction and ETA M&E, delivering complex, multimillion-dollar projects like the iconic National Museum of Qatar. Her diverse roles included technical design, project coordination, stakeholder engagement, and mentoring junior engineers. This rich blend of industry and academic experience empowers her to deliver research with strong practical impact and relevance ⚙️.

🔬 Research Interest

Dr. Shima Sadaf’s research focuses on shaping the future of sustainable and intelligent power systems. Her work explores digital twins and AI for converter design 🤖, cybersecurity for power electronics, smart grids, integrated micro/nano-grids, and renewable energy for net-zero goals 🌍. She is especially known for AI-driven design optimization of high-gain DC-DC converters and advanced electric vehicle charging systems 🚗⚡. Her interdisciplinary approach integrates power electronics, machine learning, and grid modernization, addressing urgent global challenges like clean energy, resilient infrastructure, and energy efficiency. With a vision to bridge theory and application, Dr. Sadaf’s research not only advances academic knowledge but also provides scalable solutions for the energy transition, industry innovation, and smarter cities of tomorrow 🔋🏙️.

🏆 Awards and Honors

Dr. Shima Sadaf’s dedication and impact are recognized with prestigious awards 🥇. She received the “Academic Achievement – University Professor Award_LEWAS 2024” for her outstanding contributions to engineering education and research. She also earned the “Best Researcher Award” and “Outstanding Leadership Award” for her influence in innovative research and academic leadership 👏. Her doctoral distinction, recognized with a Gold Medal and a special honor by the Amir of Qatar’s wife, underscores her academic excellence. Additional accolades include the “Women Researcher Award” by ScienceFather and multiple best paper awards at top conferences 📜. These honors reflect not only her scholarly productivity but her commitment to inspiring women in STEM and driving real-world solutions through impactful research.

🧩 Research Skills

Dr. Shima Sadaf combines deep theoretical expertise with practical skills across modern tools and methodologies 🔍. She is proficient in MATLAB/Simulink, PowerWorld Simulator, FPGA with system generator, Arduino IDE, Multisim, and PCB design tools 🖥️. Her robust skill set supports complex modeling, simulation, and implementation of high-gain DC-DC converters, smart grids, and AI-based power systems. She holds two patents, including a US patent, evidencing her innovation in practical technologies ⚡. As a reviewer for IEEE Transactions, IET Power Electronics, and other top journals, she upholds high standards in scientific rigor 📚. Her leadership in workshops and expert talks further highlights her ability to transfer knowledge and inspire emerging researchers and engineers 🌟.

Publications Top Note 📝

Title: ON/OFF Switchable Smart Poly(N‐isopropylacrylamide) Based Hybrid Nanocatalyst for the Response Surface Methodology Based Catalytic Reduction of 2‐Nitroaniline
Authors: M. W. Alam, S. M. Usman, S. Naeem, N. Zaidi, Shima Sadaf, K. Naseem
Year: 2025
Source: ChemistrySelect
Citation: ChemistrySelect 10 (8), Feb. 2025, https://doi.org/10.1002/slct.202404485

Title: Multifunctional ZrO₂/NiO/RGO Ternary Nanocomposites for Degradation of Organic Pollutants, H₂ Production and Antioxidant Property
Authors: S. R. Bavaji, A. Jafar Ahamed, M. W. Alam, G. M. Alsulaim, S. Sadaf
Year: 2025
Source: Journal of Inorganic and Organometallic Polymers and Materials
Citation: Journal of Inorganic and Organometallic Polymers and Materials, Jan. 2025, https://doi.org/10.1007/s10904-025-03630-w

Title: Insight into NaSiCl₃: A Lead-Free Perovskite for the Next Generation Revealed by DFT and SCAPS-1D
Authors: S. Rabhi, et al.
Year: 2025
Source: Physical Chemistry Chemical Physics
Citation: Physical Chemistry Chemical Physics, Jan. 2025, https://doi.org/10.1039/d5cp01747e

Title: Improved Ni₃V₂O₈ Supercapacitive Performance via Urea-Driven Morphological Alteration
Authors: M. W. Alam, et al.
Year: 2025
Source: Ceramics International
Citation: Ceramics International 51 (10), 13430–13442, Jan. 2025, https://doi.org/10.1016/j.ceramint.2025.01.187

Title: Enhanced UV Photodetector Based on WO₃/SnO₂ Heterostructure Nanowire
Authors: M. W. Alam, I. Ao, S. Sadaf, E. R. Singh
Year: 2024
Source: Applied Physics A
Citation: Applied Physics A 131 (1), Dec. 2024, https://doi.org/10.1007/s00339-024-08177-0

Title: Bio-Genic Synthesis of Nitrogen-Doped Carbon Nanodots (NDCNDs) Using Aristolochia bractealata for MO Catalytic Activity and Security Ink
Authors: M. W. Alam, et al.
Year: 2024
Source: Waste and Biomass Valorization
Citation: Waste and Biomass Valorization, Dec. 2024, https://doi.org/10.1007/s12649-024-02859-9

Title: Hydrothermal Synthesis of rGO-Decorated NiMn₂O₄ Nanoneedles for High-Performance Positive Electrode in Asymmetric Supercapacitors
Authors: J. Jothi, M. Parthibavarman, K. L. Meghanathan, B. Souayeh, M. W. Alam, S. Sadaf
Year: 2024
Source: Diamond and Related Materials
Citation: Diamond and Related Materials 150, Nov. 2024, https://doi.org/10.1016/j.diamond.2024.111764

Title: Controlled Synthesis and Electrochemical Characterization of Co₃V₂O₈ Hexagonal Sheets for Energy Storage Applications
Authors: M. A. Yewale, D. K. Shin, M. W. Alam, A. M. Teli, S. Nabi, S. A. Ansari, S. Sadaf, A. A. AlKahtani
Year: 2024
Source: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Citation: Colloids and Surfaces A, Aug. 2024, https://doi.org/10.1016/j.colsurfa.2024.135180

Title: Advancements in Green-Synthesized Transition Metal/Metal-Oxide Nanoparticles for Sustainable Wastewater Treatment
Authors: M. W. Alam, et al.
Year: 2024
Source: Materials Research Express
Citation: Materials Research Express 11 (10), Oct. 2024, https://doi.org/10.1088/2053-1591/ad86a4

Title: Bipolar Resistive Switching Behavior of Bilayer β-Ga₂O₃/WO₃ Thin Film Memristor Device
Authors: M. W. Alam, A. Jamir, B. Longkumer, B. Souayeh, S. Sadaf, B. Moirangthem
Year: 2024
Source: Journal of Alloys and Compounds
Citation: Journal of Alloys and Compounds 1010, Oct. 2024, https://doi.org/10.1016/j.jallcom.2024.177032

✅ Conclusion

In summary, Dr. Shima Sadaf is an outstanding researcher, educator, and innovator who exemplifies research excellence and impactful leadership ✨. Her career unites advanced technical expertise, high-quality publications 📑, patents, industry experience, and dedication to sustainability 🌱. Recognized globally for her contributions and leadership, she empowers the next generation of engineers through active mentorship, curriculum innovation, and outreach. With her strong interdisciplinary focus and commitment to solving real-world energy challenges ⚙️, Dr. Sadaf stands out as a role model in modern power electronics and sustainable energy systems. Her work continues to bridge academia, industry, and society, driving progress towards smarter, greener, and more resilient energy solutions for the future ⚡🌍.

 

Margarida Soares | Engineering | Best Researcher Award

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Dr. Margarida Soares | Engineering | Best Researcher Award

Margarida Soares at CVR- CENTRO PARA A VALORIZAÇÃO DE RESÍDUOS, Portugal

Dr. Margarida Reis Soares is a multidisciplinary researcher specializing in the valorization of industrial and organic waste and the integration of circular economy principles. She holds a Master’s degree in Biological Engineering with a specialization in Technology in Chemical and Food Processing from the Universidade do Minho, Portugal. Currently, she serves as an investigator at the Fundação para a Ciência e a Tecnologia and the Centro para a Valorização de Resíduos (CVR). Over the years, Dr. Soares has contributed to numerous European Union-funded projects, addressing eco-innovation, green technologies, and sustainability. Her research emphasizes creating environmentally friendly solutions for waste recovery and fostering green growth in industries.

Publication Profile

Scopus

Orcid

Educational Details

Master’s Degree in Biological Engineering (Integrated Master’s Program)

  • Specialization: Technology in Chemical and Food Processing
  • Institution: Universidade do Minho, Portugal
  • Completion: November 2016
  • Thesis: “Estudo da Viabilidade da Diminuição das Temperaturas de Pasteurização Aplicadas aos Preparados Elaborados na Decorgel”
  • Graduation Grade: 17.07/20

Professional Experience

  • Investigator
    • Institution: Fundação para a Ciência e a Tecnologia / Centro para a Valorização de Resíduos (CVR), Portugal
    • Duration: November 2023 – Present
  • Researcher
    • Institution: Centro para a Valorização de Resíduos (CVR), Universidade do Minho, Portugal
    • Roles:
      • Investigated sustainable waste recovery and circular economy initiatives.
      • Collaborated on European Union-funded projects focused on eco-innovation and green technologies.
    • Duration: January 2017 – Present
  • Quality Control Laboratory Technician
    • Employer: Prozis, Portugal
    • Duration: July 2019 – July 2020

Research Interest

  • Valorization of industrial and organic waste.
  • Circular economy and sustainability strategies.
  • Development of eco-innovative materials using waste recovery.
  • Integration of bio-based processes in chemical and food engineering.
  • Technological solutions for green growth and environmental impact reduction.

Selected Research Projects

  • BioShoes4All (2023–Present): Innovation in sustainable bioeconomy for the footwear industry.
  • Mission2GG (2023–Present): Strategies for green growth, circularity, and eco-innovation.
  • RENew (2020–Present): Circular economy solutions for reintroducing construction waste.
  • VALORMAR (2017–Present): Valorization of marine resources through innovation.
  • EcoSustainable Rail (2016–Present): Development of eco-sustainable railway sleepers using mixed plastics.
  • UpCycle4Biz (2021–2023): Materials upcycling for promoting a circular economy.
  • Res2ValHum (2016–Present): Recovery of organic waste for humic substance production.

Publication Top Notes

“Peach processing wastes stabilization: Effect on the physical-chemical and microbiological properties”

  • Authors: Ribeiro, A., Soares, M., Valerio, N., Vilarinho, C., Carvalho, J.
  • Source: WASTES: Solutions, Treatments, and Opportunities IV – Selected Papers from the 6th International Conference Wastes, 2023, 2024, pp. 452–457.
  • Abstract and related documents: Disabled.

“Pig meat processing wastes stabilization: Effect on the microbiological properties”

  • Authors: Ribeiro, A., Soares, M., Valerio, N., Vilarinho, C., Carvalho, J.
  • Source: WASTES: Solutions, Treatments, and Opportunities IV – Selected Papers from the 6th International Conference Wastes, 2023, 2024, pp. 458–464.
  • Abstract and related documents: Disabled.

“An Experimental Setup for Plasma Gasification of Sewage Sludge”

  • Authors: Pacheco, N., Barbosa, F.V., Ribeiro, A., Teixeira, J.C.F., Vilarinho, C.
  • Source: Proceedings of the Thermal and Fluids Engineering Summer Conference, 2023, 2023-March, pp. 543–557.
  • Abstract and related documents: Disabled.
  • Citations: 2.

“Challenges of Digital Waste Marketplace—The Upvalue Platform”

  • Authors: Soares, M., Ribeiro, A., Vasconcelos, T., Vilarinho, C., Carvalho, J.
  • Source: Sustainability (Switzerland), 2023, 15(14), 11235.
  • Abstract and related documents: Disabled.
  • Citations: 2.

“Diving into Fish Valorisation: Review Opportunities and Analyzing Azorean Fish Data”

  • Authors: Valério, N., Soares, M., Vilarinho, C., Correia, M., Carvalho, J.
  • Source: Processes, 2023, 11(7), 1998.
  • Abstract and related documents: Disabled.
  • Citations: 5.

Conclusion

Dr. Margarida Soares is a strong candidate for the Best Researcher Award, particularly in the context of applied sustainability and circular economy research. Her work addresses global environmental challenges through innovative, practical solutions, and her involvement in EU-funded projects showcases her ability to collaborate on high-impact initiatives. However, to strengthen her candidacy further, she should focus on increasing her publication output, pursuing patents, and expanding her international footprint.

 

 

 

Xiaoming Li | Systems Engineering | Best Researcher Award

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Dr. Xiaoming Li, Systems Engineering, Best Researcher Award

Doctorate at Concordia University, Canada

Summary:

Dr. Xiaoming Li is an accomplished researcher and educator with extensive experience in artificial intelligence, machine learning, and optimization models for shared mobility and smart logistics. With a Ph.D. in Information and Systems Engineering from Concordia University, his work focuses on integrating data-driven approaches to optimize urban transportation systems and enhance sustainability. He has a strong background in software engineering and has contributed significantly to both academic research and industry projects. Dr. Li has received several awards, including the IEEE Outstanding Leadership Award and the Mitacs Accelerate Program Award. As a dedicated educator, he has taught and mentored students across various institutions, shaping the next generation of computer scientists.

Professional Profile:

👩‍🎓Education:

Ph.D. in Information and Systems Engineering

  • Concordia University, Montréal, QC, Canada
  • Cumulative GPA: 4.0 / 4.3

M.Sc. in Computer Software and Theory

  • Northeastern University, China
  • Cumulative GPA: top 16.7%

B.Sc. in Computer Science and Technology

  • Shenyang Aerospace University, China

Professional Experience:

Dr. Xiaoming Li currently serves as a Research Associate at Concordia University, Montréal, where he supervises interdisciplinary research in artificial intelligence and operations research for shared mobility-on-demand applications. His role involves designing deep learning models for time-series demand forecasts, developing data-driven stochastic optimization models for renewable energy mobility management, and creating an integrated optimization framework for sustainable crowd-shipping services. Previously, Dr. Li held a Research Assistant position at Concordia, working on data analysis and machine learning model development for various projects, including forecasting commodity rates and predicting hotel booking cancellations.

Dr. Li’s industrial experience includes internships at Ericsson’s Global Artificial Intelligence Accelerator, where he developed an energy-saving framework for 5G base stations, and Medialpha, where he optimized nurse routing and medical resource allocation using meta-heuristic algorithms. Additionally, he has substantial experience as a Software Engineer at Shenyang Aerospace University, leading projects and managing teams.

In academia, Dr. Li has served as an Adjunct Faculty at Vanier College, teaching database theory and application development, and as a Full-Time Lecturer at Shenyang Aerospace University, instructing on a variety of computer science courses and supervising numerous student projects.

Research Interest:

  • Machine Learning
  • Operations Research
  • Data Science
  • Data-Driven Optimization
  • Agent-Based Simulation Modeling
  • Shared Mobility
  • Smart Logistics
  • Sustainable Intelligent Transportation Systems

Publications Top Noted: 

GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems

  • N. Lin, Y. Fan, L. Zhao, X. Li, M. Guizani
  • IEEE Transactions on Mobile Computing, 14, 2022.

BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems

  • J. Gao, X. Li, C. Wang, X. Huang
  • IEEE Transactions on Intelligent Transportation Systems, 23(8), 11666-11676, 2021.

Driver Guidance and Rebalancing in Ride-Hailing Systems Through Mixture Density Networks and Stochastic Programming

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • 2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021.

Learning-Based Open Driver Guidance and Rebalancing for Reducing Riders’ Wait Time in Ride-Hailing Platforms

  • J. Gao, X. Li, C. Wang, X. Huang
  • 2020 IEEE International Smart Cities Conference (ISC2), 1-7, 2020.

Ride-Sharing Matching Under Travel Time Uncertainty Through Data-Driven Robust Optimization

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • IEEE Access, 10, 116931-116941, 2022.