Behnaz Sohani | Robotics | Best Researcher Award

Posted on by sciencefatherLeave a Comment on Behnaz Sohani | Robotics | Best Researcher Award

Dr. Behnaz Sohani | Robotics | Best Researcher Award

Assistant professor, Loughborough University, United Kingdom

Dr. Behnaz Sohani is an accomplished academic and researcher in Robotics and Biomedical Engineering, specializing in object and scene recognition, assistive robotics, rehabilitation systems, and healthcare robotics. She currently serves as a Co-Director of the Biorobotics and Healthcare/Medical Technologies (BMTec) Laboratory and as a Lecturer in Robotics at the University of Lincoln. With over 16 years of experience in education, research, and administration, Dr. Sohani is passionate about advancing technology and improving healthcare through innovative robotics solutions. 🚀🤖📚

Profile

  • Scopus
  • ORCID
  • Google Scholar

    Strengths for the Award

    1. Community-Oriented Research: Dr. Behnaz Sohani’s work in robotics and biomedical engineering has a clear impact on community health and well-being. Her research focuses on developing assistive and healthcare robotics, which directly benefits individuals with medical conditions and those needing rehabilitation. The development of medical imaging devices and intelligent robots aligns well with the award’s focus on community impact.
    2. Innovative Contributions: Dr. Sohani has been involved in groundbreaking projects, such as designing imaging devices for early detection of brain strokes and cancers. Her use of AI and advanced technologies in healthcare demonstrates innovation that addresses significant community health challenges.
    3. Leadership and Collaboration: As the Co-Director of the Biorobotics and Healthcare/Medical Technologies Laboratory, she has shown strong leadership in driving impactful research projects. Her ability to collaborate with both academic and industrial partners, including medical professionals, enhances the relevance and application of her research.
    4. Educational Impact: Dr. Sohani’s role as a lecturer and mentor at the University of Lincoln contributes to shaping the next generation of engineers and researchers. Her teaching covers a broad spectrum of robotics and biomedical engineering topics, ensuring that her knowledge and passion are shared with students who can continue to drive community-oriented innovations.
    5. Grants and Recognition: Securing significant grants, such as those from the Royal Society and European Regional Development Fund, underscores her ability to attract funding for projects with high community impact. Her successful grant applications reflect recognition and validation from the research community and funding bodies.

    Areas for Improvement

    1. Broader Community Engagement: While Dr. Sohani’s work is impactful within academic and healthcare circles, increasing outreach to broader community stakeholders could enhance the visibility and accessibility of her innovations. Engaging more directly with community organizations or public health initiatives could amplify her research’s community impact.
    2. Communication of Impact: Dr. Sohani’s CV highlights numerous achievements and research outputs but could benefit from more explicit examples of how her work has directly improved or benefited community members. Providing case studies or testimonials could better illustrate the tangible benefits of her research.
    3. Public Awareness: Increasing public awareness about the practical applications of her research could further strengthen the case for the award. This could involve more public engagement activities, such as workshops, seminars, or media outreach, to showcase how her technologies are being used in real-world scenarios.

       

      Education

      Dr. Sohani earned her PhD in Robotics and Biomedical Engineering from London South Bank University (2017-2021). Her doctoral research focused on medical imaging for diagnostic applications, particularly in detecting brain abnormalities using microwave imaging. 🧠🎓

      Experience

      Dr. Sohani has held various academic and research positions. Since January 2021, she has been a Lecturer in Robotics and Biomedical Engineering and the Lead and Director of the BMTec Laboratory at the University of Lincoln. Her roles include generating research income, publishing research outputs, and delivering high-quality teaching programs. Previously, she served as a Postdoctoral Research Fellow at London South Bank University, where she designed medical devices augmented by AI. 📊🧪👩‍🏫

      Research Interests

      Dr. Sohani’s research interests encompass robotics and biomedical engineering, with a focus on assistive robotics, healthcare robotics, path planning, real-time control, computer vision, signal processing, and AI technologies. She is dedicated to advancing the early detection and management of medical conditions and addressing critical healthcare challenges through innovative robotic solutions. 🤖🩺🔍

      Awards

      Dr. Sohani has received several prestigious awards and grants, including successful grant applications to the Royal Society (£70K), being the principal investigator on three research projects funded by the European Regional Development Fund (ERDF), and her PhD funding from the European Union’s Horizon research & innovation program under the Marie Sklodowska-Curie Grant Agreement. 🏆🎓💼

       Publications

      1. “Revolutionizing Demand Response Management: Empowering Consumers through Power Aggregator and Right of Flexibility.” Energies 17.6: 1419, (2024). Cited by 3 articles
      2. Aliyu, M. et al. “An artificial neural network model for the prediction of entrained droplet fraction in annular gas-liquid two-phase flow in vertical pipes.” International Journal of Multiphase Flow 164 (2023): 104452. Cited by 2 articles
      3. Nnadi, S. et al. “Development, Experimental, and Numerical Characterisation of Novel Flexible Strain Sensors for Soft Robotics Applications”, Robotics, 13(7), 103, (2024). Cited by 5 articles
      4. Webber, M., et al. “A techno-economic review of direct air capture of moisture processes: sustainable versus energy-intensive methods.” International Journal of Environmental Science and Technology: 1-35, (2024). Cited by 7 article
      5. Sohani, B. et al. “Developing a Comprehensive Model for the Prevention of Tension Neck Syndrome: A Focus on Musculoskeletal Disorder Prevention Strategies.” Advanced Robotics and Automation (WRC SARA), Beijing, China, pp. 541-548. IEEE, (2023). Cited by 4 articles

       

Heung-Shik Lee | Robotics | Best Researcher Award

Posted on by sciencefatherLeave a Comment on Heung-Shik Lee | Robotics | Best Researcher Award

Prof. Heung-Shik Lee | Robotics | Best Researcher Award

Professor, Joongbu University, South Korea

Heung-Shik Lee is a distinguished professor and the Dean of the Department of Electrical Electronic and Automotive Engineering at Joongbu University since 2016. 🌟 With a solid background as a technical advisory member for the Ministry of SMEs and Startups and the Ministry of Environment, Prof. Lee has made significant contributions to the field. Prior to his current role, he was a professional researcher at the High Energy Materials Specialized Research Center at the Agency for Defense Development in Korea and a Research Fellow at the University of Texas at Dallas. 🌐

Profile

Strengths for the Award:

  1. Innovative Research Focus: Prof. Lee has developed an autonomous small mobility robot that addresses a significant challenge—exploring underground facilities where traditional communication methods like Wi-Fi and GPS are not viable. This innovation has practical implications for improving infrastructure management and safety.
  2. Significant Contributions: His research directly impacts community safety and efficiency by enabling precise location information of underground pipes and exploration results. This is crucial for maintaining and managing infrastructure, which benefits public services and safety.
  3. Professional Expertise: Prof. Lee’s extensive experience in both academic and industry settings, including his advisory roles with government ministries and his background in high-energy materials research, highlights his deep expertise and the relevance of his work.
  4. Research Output: With 48 journal publications, 14 patents, and numerous consultancy projects, Prof. Lee demonstrates a high level of productivity and impact in his field. His citation index of 270 further supports the influence and recognition of his work.
  5. Collaborations and Memberships: His collaborations with institutions like Inha University and his advisory roles show his active engagement in advancing his field and contributing to broader technological and academic communities.

Areas for Improvement:

  1. Community Engagement: While his research has clear practical applications, additional details on community involvement or outreach efforts could strengthen his case. Demonstrating direct interactions with or benefits to local communities might add further value to his nomination.
  2. Broader Impact: Highlighting specific case studies or real-world implementations of his technology could provide a clearer picture of the community impact. Evidence of successful commercial applications or user feedback would enhance the assessment of his contributions.
  3. Detailed Metrics: Providing more specific metrics or examples of how his research has directly benefited communities or led to tangible improvements would strengthen the nomination. This could include details on cost savings, safety improvements, or efficiency gains from his innovations.

Education

Prof. Lee has an extensive academic foundation, holding advanced degrees in engineering, which underpin his expertise in smart materials and automotive applications. 📚

Experience

His professional journey includes notable positions such as serving as a technical advisor and contributing to multiple research and consultancy projects. His expertise extends to autonomous control, smart materials, sensors, and structural safety. 🚀

Research Interests

Prof. Lee’s research focuses on smart material-based automotive applications, autonomous control systems, and advanced sensors and actuators. His innovative work includes the development of autonomous small mobility robots for underground facility exploration using AI technology. 🤖

Awards

Prof. Lee is nominated for the Best Researcher Award, recognizing his exceptional contributions to the field of engineering and technology. 🏆

Publications

Mask R-CNN-Based Stone Detection and Segmentation for Underground Pipeline Exploration Robots

An Inverse Perspective Mapping-Based Approach for Generating Panoramic Images of Pipe Inner Surfaces

Analysis of Used Cars Price Determinant Factors Using IPA | IPA

Multiple IMU sensor fusion using resolution refinement method to reduce quantization error

 

Stela Jokić | Engineering | Best Researcher Award

Posted on by sciencefatherLeave a Comment on Stela Jokić | Engineering | Best Researcher Award

Prof Dr. Stela Jokić | Engineering | Best Researcher Award

Vice-Dean, Faculty of Food Technology Osijek, Croatia

Stela Jokić is a distinguished Associate Professor at the Faculty of Food Technology Osijek, Croatia. With over a decade of experience in academia, she specializes in food technology and process optimization. Her research is noted for its impact on supercritical fluid extraction and medicinal plant extracts, contributing significantly to the fields of food safety and industrial process design. 🌟

Profile

 

 

Luis Javier Martinez Morales | Health Sciences | Best Researcher Award

Posted on by sciencefatherLeave a Comment on Luis Javier Martinez Morales | Health Sciences | Best Researcher Award

Dr. Luis Javier Martinez Morales | Health Sciences | Best Researcher Award

Professor, Benemérita Universidad Autónoma de Puebla, Mexico

Luis Javier Martínez Morales is a distinguished microbiologist specializing in microbial physiology, with a focus on secondary metabolism. He holds a Bachelor’s degree in Chemical Biology (QFB), a Master’s in Basic Biomedical Research, and a Doctorate in Microbiology. Dr. Martínez Morales’ research primarily explores plant hormones like indole-3-butyric acid (IBA) and polyhydroxybutyrate (PHB) produced by bacteria. His recent contributions are particularly notable in the area of PHB, showcasing his expertise in bacterial metabolism. 🌿🔬

Profile

Strengths for the Award:

  1. Innovative Research Focus: The individual’s research involves the study of bacterial protein structures and their implications in biopolymer production (PHB) and stress responses. This research has practical applications in biotechnology and environmental sustainability.
  2. Diverse Contributions: The person has made significant contributions across various journals and conferences, including work on bacterial stress responses, nanoparticle interactions, and polyhydroxybutyrate (PHB) metabolism.
  3. Recognition and Awards: They have received multiple awards and recognitions, including top placements at scientific meetings and various prestigious accolades, demonstrating the high impact and quality of their research.
  4. Community Engagement: Their involvement in academic evaluation and peer review for numerous journals indicates a commitment to advancing scientific knowledge and supporting the broader research community.
  5. Publications: A substantial number of publications in high-impact journals highlight their ongoing contributions to the field, which can have significant community and industrial impact.

Areas for Improvement:

  1. Direct Community Impact: While the research is impactful, there may be a need to more explicitly demonstrate how the findings have been applied or will be applied to benefit specific communities or societal issues.
  2. Public Outreach: Increasing efforts in public outreach and science communication could enhance the visibility of their work and its benefits to non-expert audiences, thereby improving community engagement.
  3. Collaborative Initiatives: Exploring more collaborative projects with community organizations or industries could strengthen the direct impact of their research on local or global issues.

 

Education

Dr. Luis Javier Martínez Morales earned his Bachelor’s degree in Chemical Biology (QFB), followed by a Master’s in Basic Biomedical Research and a Ph.D. in Microbiology. His educational background equips him with a solid foundation in microbial physiology and biochemistry. 🎓📚

Experience

Dr. Martínez Morales has extensive experience in the field of microbiology, focusing on bacterial secondary metabolism and its applications. His work involves studying the production and functionality of key metabolites such as IBA and PHB. His expertise extends to research roles and contributions to various scientific publications. 🧬🔍

Research Interests

Dr. Martínez Morales is dedicated to understanding microbial physiology with a special interest in secondary metabolism. His research includes the production of plant hormones like IBA and the metabolism of PHB by bacteria. He aims to explore the applications of these compounds in biotechnology and agriculture. 🌱🧪

Awards

Dr. Martínez Morales has been recognized for his significant contributions to microbiology, particularly in the study of bacterial metabolites. His research has garnered attention and acclaim within the scientific community, highlighting his role in advancing the field of microbial physiology. 🏅🔬

Publications

Indole-3-butyric acid (IBA) production in culture medium by wild strain Azospirillum brasilense

Polyhydroxybutyrate Metabolism in Azospirillum brasilense and Its Applications, a Review

Computational Analysis of the Ligand-Binding Sites of the Molecular Chaperone OppA from Yersinia pseudotuberculosis

 

Sandhya Panch | Health Sciences | Women Researcher Award

Posted on by sciencefatherLeave a Comment on Sandhya Panch | Health Sciences | Women Researcher Award

Dr. Sandhya Panch | Health Sciences | Women Researcher Award

Associate Professor, University of Washington, United States

Dr. Sandhya R. Panch, MD, MPH, is an esteemed Associate Professor of Medicine at the University of Washington and the Medical Director of Transfusion at the Fred Hutchinson Cancer Center. With a rich background in hematology and transfusion medicine, Dr. Panch has significantly contributed to both academic and clinical fields. Her extensive experience includes roles at the National Institutes of Health and various prestigious institutions, making her a leading expert in her specialty.

Profile

Strengths for the Award

  1. Extensive Research Contributions: Dr. Sandhya R. Panch has a robust background in hematology and transfusion medicine, with numerous publications and ongoing research projects focusing on blood disorders and transfusion techniques. Her work spans both clinical and laboratory settings, which is crucial for community impact.
  2. Leadership and Academic Roles: She holds significant positions, such as Associate Professor of Medicine at the University of Washington and Medical Director at the Fred Hutchinson Cancer Center, demonstrating her leadership and commitment to advancing medical knowledge and practice.
  3. Diverse Clinical and Research Experience: Her experience at prestigious institutions like the NIH Clinical Center and various roles in hematology and transfusion medicine highlight her ability to conduct impactful research that benefits the community.
  4. Grant and Funding Success: Dr. Panch has secured numerous research grants, including those from the NIH and pharmaceutical companies, indicating her capability to attract funding for significant projects that can lead to community improvements.
  5. Professional Recognition and Contributions: Her memberships and roles in leading hematology and transfusion medicine organizations, along with her peer review work for top journals, underline her expertise and recognition in the field.

Areas for Improvement

  1. Broader Community Engagement: While her research is highly specialized and impactful within the medical community, expanding outreach and direct engagement with broader community health initiatives could further demonstrate her commitment to community impact.
  2. Public Awareness and Education: Increasing her involvement in public education and awareness campaigns related to blood disorders and transfusion medicine could enhance her visibility and impact on community health.
  3. Interdisciplinary Collaboration: Encouraging more interdisciplinary research and collaboration with other fields, such as public health policy or social sciences, could broaden the scope and applicability of her research findings to address community health issues more comprehensively.

    Education 🎓📖

    Dr. Panch earned her MBBS from Bangalore Medical College and Research Institute in India. She furthered her education with a Master’s in Public Health (Epidemiology and Biostatistics) from the University of Minnesota. Her postdoctoral training includes a residency in Internal Medicine at Georgetown University Hospital, followed by a Clinical Fellowship in Transfusion Medicine at the National Institutes of Health, where she also completed a Post-doctoral Research Fellowship in Molecular Hematopoiesis under the mentorship of Dr. Cynthia E. Dunbar.

    Experience 🏥👩‍⚕️

    Dr. Panch has held numerous prestigious positions throughout her career. Currently, she serves as an Associate Professor at the University of Washington and Medical Director of Transfusion at Fred Hutchinson Cancer Center. Her previous roles include Assistant Research Physician at the NIH Clinical Center and Medical Director at the Center for Cellular Engineering. She has also served as an Attending Physician at NHLBI, NIH, and INOVA SCHAR Cancer Institute, contributing to both clinical practice and research.

    Research Interests 🔬🧬

    Dr. Panch’s research interests are deeply rooted in hematology and transfusion medicine. She focuses on improving hematopoietic progenitor cell mobilization, understanding the impact of manufacturing-related parameters on CAR T-cell product quality, and exploring the safety and efficacy of various treatments for hematologic conditions. Her work aims to enhance patient outcomes through innovative therapeutic approaches and clinical trials.

    Awards 🏆🎖️

    Dr. Panch has received numerous awards and grants throughout her career, including the National Blood Foundation Early Career Award and the NIH Clinical Center Research Award for Staff Clinicians Program. She has been recognized for her contributions to hematology and transfusion medicine, reflecting her dedication to advancing medical research and patient care.

    Publications 📚🖇️

 

VINOD KUMAR VERMA | Computer Science | Best Researcher Award

Posted on by sciencefatherLeave a Comment on VINOD KUMAR VERMA | Computer Science | Best Researcher Award

Assist Prof Dr. VINOD KUMAR VERMA | Computer Science | Best Researcher Award

Assistant Professor, Sant Longowal Institute of Engineering and Technology, Longowal, India

👨‍🏫 Dr. Vinod Kumar Verma was born in Kalka, Haryana, India. He is an esteemed Assistant Professor in the Department of Computer Science and Engineering at SLIET-Deemed to be University. With international teaching and research experience, he has contributed significantly to various academic and research institutions worldwide, including the UK, USA, Japan, Italy, Australia, France, and Greece. Dr. Verma has collaborated with prestigious universities such as the University of Surrey, England, and the University of Nottingham, Malaysia. He has published extensively in renowned international journals, making notable contributions to the fields of wireless sensor networks, IoT, big data, cloud computing, and more.

Profile

Scopus

🎓 Education

BTech in Computer Engineering from Kurukshetra University, 2005. MS Degree from BITS Pilani, Pilani, 2008. PhD in Computer Science and Engineering from Sant Longowal Institute of Engineering and Technology (SLIET), Longowal, India

💼 Experience

Dr. Verma has held various academic positions and has been involved in numerous international collaborations. His teaching and research engagements have taken him to countries such as the UK, USA, Japan, Italy, Australia, France, and Greece. He has worked with the University of Surrey, England, and visited the University of West Attica, Athens, Greece under the ERASMUS+ program. Dr. Verma is currently an Assistant Professor at SLIET-Deemed to be University.

🔍 Research Interests

Dr. Verma’s research interests are diverse and cutting-edge, including wireless sensor networks, the internet of things (IoT), big data, cloud computing, trust and reputation systems, simulation, distributed computing, cryptography, and software systems. His work has been published in various top-tier international journals, showcasing his significant contributions to these fields.

🏆 Awards

Dr. Verma has been recognized for his outstanding contributions to the field of computer science. He received the Session’s Best Paper Award at IMETI-CITSA-2014 in Orlando and the Best Paper Award at NCCN-11 in Longowal in 2011. He has also served on numerous organizing and program committees for international conferences, highlighting his influence and leadership in the academic community.

📚 Publications

Cooperative-centrality enabled investigations on edge-based trustworthy framework for cloud focused internet of things

Hui Peng | Engineering | Best Researcher Award

Posted on by sciencefatherLeave a Comment on Hui Peng | Engineering | Best Researcher Award

Dr. Hui Peng | Engineering | Best Researcher Award

Professor, Central South University, China

👨‍🏫 Hui Peng is a distinguished Professor in the School of Automation at Central South University, Changsha, China. With a prolific career spanning over two decades, he has authored more than 70 papers in international journals and co-invented a patent in Japan. His expertise lies in various aspects of control engineering and statistical science, making significant contributions to industrial process control projects globally.

Profile

ORCID

 

Education

🎓 Hui Peng earned his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. He obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies, Hayama, Japan, in 2003.

Experience

💼 Hui Peng has been a Professor at the School of Automation, Central South University, since 1998. He served as a Visiting Professor at the Institute of Statistical Mathematics, Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies, Japan. His work includes successfully completing over ten industrial process control projects involving diverse systems like marine ships, thermal power plants, and quadrotor helicopters.

Research Interests

🔬 Hui Peng’s research interests are extensive and include nonlinear system modeling, statistical modeling, system identification, nonlinear optimization, signal processing, predictive control, robust control, process control, financial process modeling, and portfolio optimization.

Awards

🏆 Hui Peng has not only authored numerous papers but also co-invented a patent in Japan, reflecting his significant contributions to control engineering and statistical science.

Publications

Market price, excess demand and liquidity dynamics modeling and application to investment decision optimization

Research on Time Varying Variance Financial Time Series Modeling and Portfolio Optimization Methods

State-dependent ARX model-based nonlinear system modeling and robust predictive control

 

Ke Wu | Computer Science | Best Dissertation Award

Posted on by sciencefatherLeave a Comment on Ke Wu | Computer Science | Best Dissertation Award

Prof. Ke Wu | Computer Science | Best Dissertation Award

professor, China University of Geosciences (Wuhan), China

Dr. Ke Wu is a distinguished professor at the China University of Geosciences, specializing in hyperspectral remote sensing and its applications in geosciences 🌏. Born on October 2, 1981, in Hubei, China, Dr. Wu has established himself as a leading expert in his field, contributing significantly to research and education 📚. Fluent in both Chinese and English, he excels in both written and spoken communication, making him a valuable asset to the academic community.

Profile

ORCID

 

Education

Dr. Ke Wu holds a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University (2008) 🎓, where he also completed his B.S. in Information Engineering (2002) 🏫. His advanced education has provided a strong foundation for his research and teaching career in remote sensing and geophysics.

Experience

Since January 2020, Dr. Ke Wu has been a professor at the China University of Geosciences 👨‍🏫. Prior to this, he served as an associate professor from 2011 to 2019 and as a postdoctoral researcher in geophysics from 2009 to 2011. His extensive experience in academia has enabled him to mentor many students and contribute to numerous research projects.

Research Interests

Dr. Ke Wu’s research interests focus on hyperspectral remote sensed image processing and its applications in geosciences 🔬. He has led several significant research projects funded by the National Natural Science Foundation of China and other prestigious organizations. His work aims to advance the understanding and practical applications of remote sensing technologies.

Awards

In recognition of his contributions to the field, Dr. Ke Wu and his team have received numerous awards 🏆. Notably, in 2022, they won the third prize in the National Hyperspectral Satellite Remote Sensing Image Intelligent Processing and Industry Application Competition of the “Obit Cup”. His group also secured the third prize in the South Division of the “Yuan Chuang Cup” Innovation and Creativity Competition in 2019 and the first prize of the Surveying and Mapping Science and Technology Progress Award of the China Society of Surveying, Mapping, and Geographic Information in 2017.

Publications

Junfei Zhong, Ke Wu, Ying Xu* (2024). “Deep Spatial Feedback Refined Network with Multi-Level Feature Fusion for Hyperspectral Image Sub-pixel Mapping,” IEEE Transactions on Geoscience and Remote Sensing. DOI: 10.1109/TGRS.2024.3419157 – Cited by: 3 articles

Ke Wu, Fan Yang, Huize Liu, Ying Xu* (2024). “Detection of coral reef bleaching by multitemporal Sentinel-2 data using the PU-bagging algorithm: A feasibility study at Lizard Island,” Remote Sens. DOI: 10.3390/rs16132473 – Cited by: 5 articles

Ke Wu, Yanting Zhan, Ying An, Suyi Li* (2024). “Multiscale Feature Search-Based Graph Convolutional Network for Hyperspectral Image Classification,” Remote Sens. DOI: 10.3390/rs16132328 – Cited by: 4 articles

Wenjie Tang, Ke Wu, Yuxiang Zhang, Yanting Zhan* (2023). “A Siamese Network Based on Multiple Attention and Multilayer Transformer for Change Detection,” IEEE Transactions on Geoscience and Remote Sensing. DOI: 10.1109/TGRS.2023.3325220 – Cited by: 6 articles

Yanting Zhan, Ke Wu, Yanni Dong* (2022). “Enhanced Spectral–Spatial Residual Attention Network for Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2022.3197934 – Cited by: 8 articles

Lambros Boukas | Physics | Best Researcher Award

Posted on by sciencefatherLeave a Comment on Lambros Boukas | Physics | Best Researcher Award

Dr. Lambros Boukas | Physics | Best Researcher Award

LAB Scientific Computing Inc.United States

Dr. Lambros A. Boukas is a distinguished computer scientist and mathematician based in Miami, Florida 🌴. With a Ph.D. in Informatics from the National and Kapodistrian University of Athens, he has extensive experience in academia and the private sector. Dr. Boukas has made significant contributions in parallel computing, numerical analysis, and scientific computing. Currently, he is the Director of LAB Scientific Computing Inc. and a dedicated mathematics and computer science teacher at Archimedean Academy 🏫.

Profile

ORCID

 

Education

🎓 Dr. Boukas earned his Ph.D. in Informatics from the National and Kapodistrian University of Athens in 1998. His thesis focused on parallel iterative methods for solving partial differential equations in distributed memory MIMD platforms. He also holds a Bachelor’s degree in Mathematics from the same institution, completed in 1985.

Experience

🔬 Dr. Boukas boasts a rich professional history, including his current role as Director of LAB Scientific Computing Inc. since 2020 and his long-term commitment as a teacher and coach for the Science Olympiad at Archimedean Academy since 2013. His past roles include board member at Digital Aid S.A., systems engineering coordinator at KAPATEL and Vodafone Hellas, and lecturer at the University of the Aegean and the National and Kapodistrian University of Athens.

Research Interests

🔍 Dr. Boukas’s research interests span parallel and distributed computing, scientific computing, numerical analysis, and computational methods for atmospheric and oceanic models. His work includes significant contributions to the parallelization of various computational models used in high-performance computing.

Awards

🏆 Dr. Boukas has been recognized for his contributions to scientific and academic communities. His achievements include the development of pivotal computational codes used in weather prediction and oceanic simulations, showcasing his expertise in both theoretical and applied aspects of computer science.

Publications

Boukas, L., Tsokaros, A., & Uryu, K. (2024). “The parallel compact object calculator: An efficient general relativistic initial data solver for compact objects.” Universe, 10(5), 229. doi: 10.3390/universe10050229. Cited by 15 articles.

Boukas, L., Pinheiro, D., Pinto, A. A., Xanthopoulos, S. Z., & Yannacopoulos, A. N. (2011). “Behavioural and dynamical scenarios for contingent claims valuation in incomplete markets.” Journal of Difference Equations and Applications, 17(7), 1065–1084. doi: 10.1080/10236190902841992. Cited by 25 articles.

Boukas, L., Kambourakis, G., & Gritzalis, S. (2009). “Pandora: An SMS oriented m-informational system for educational realms.” Journal of Network and Computer Applications, 32(3), 684–702. doi: 10.1016/j.jnca.2008.07.002. Cited by 30 articles.

Boukas, L. A., & Missirlis, N. M. (1998). “The parallel local modified SOR for nonsymmetric linear systems.” International Journal of Computer Mathematics, 68(1-2), 153–174. doi: 10.1080/00207169808804684. Cited by 10 articles.

Boukas, L. A., & Missirlis, N. M. (1998). “A parallel implementation of the eta model.” International Journal of Parallel and Distributed Systems and Networks, 1(2), 57–64. Cited by 8 articles.

 

 

Avirup Roy | Machine Learning |Machine Learning Research Award

Posted on by sciencefatherLeave a Comment on Avirup Roy | Machine Learning |Machine Learning Research Award

Mr. Avirup Roy | Machine Learning |Machine Learning Research Award

PhD Student, Michigan State University, United States

Dr. Avirup Roy is a dedicated researcher and engineer specializing in networked embedded and wireless systems. Currently pursuing his PhD at Michigan State University, his work focuses on developing self-learning mechanisms for embedded hardware systems with limited computational resources. With a solid foundation in electronics and communication engineering, Avirup has gained extensive experience in both academia and industry, contributing to projects ranging from smart malaria detection to automated power management systems. His technical skills span machine learning, embedded systems, cloud computing, and web development. Beyond his professional life, Avirup is passionate about Indian classical music, photography, and swimming. 🌟📚🎵📷🏊‍♂️

Profile

ORCID

 

Education🎓

Michigan State University, East Lansing, MI, US PhD in Electrical and Computer Engineering (2020-Present). Dissertation: Self-learning mechanisms for Embedded hardware systems with limited computational resources. GPA: 3.75/4Maulana Abul Kalam Azad University of Technology, Kolkata, WB, India Bachelor of Technology (BTech) in Electronics and Communication Engineering (2013-2017)

Experience💼

Graduate Research Assistant, Michigan State University (Sep 2020 – Jul 2023),Developed an android and website application for smart malaria detection involving cloud database integration. Graduate Teaching Assistant, Michigan State University (Aug 2023 – Present), Instructed and graded labs for Embedded Cyber-physical Systems, VLSI Systems, and Digital Control courses. ICER Cloud Computing Fellow, Michigan State University (Sep 2023 – Present), Implemented Azure cloud resources in semi-supervised federated learning for embedded devices. Programmer Analyst, Cognizant Technology Solutions (Dec 2017 – Jul 2020), Developer and support analyst for ASP.NET based applications of MetLife Inc. Intern, Calcutta Electric Supply Corporation (CESC) Limited (Jul 2016 – Aug 2016), Worked on automated power management systems using SCADA communication. Intern, Bharat Sanchar Nigam Limited (BSNL) (Jun 2015 – Aug 2015), Explored general trends in wireless communication. Undergraduate Researcher, Maulana Abul Kalam Azad University of Technology (2015-2016), Presented research at various international conferences and served as the vice-president of SPIE Student Chapter.

Research Interests🔍

Embedded Machine Learning: Focused on developing efficient learning algorithms for resource-constrained devices.
Networked Embedded Systems: Exploring self-learning mechanisms and their applications in real-world scenarios.
Cloud Computing: Leveraging cloud resources for semi-supervised federated learning.
VLSI Systems: In-depth study and teaching of Very-Large-Scale Integration systems.
Cyber-Physical Systems: Research on embedded systems interacting with physical processes.

Awards🏆

National Social Entrepreneurship Programme (2014): Secured 2nd position for the ‘Hand-Made Paper Industry’ project.
SPIE Smart Structures and Non-destructive Evaluation Conference (2016): Presented research in Las Vegas, Nevada.
EAPE Conference (2015): Presented research on emerging areas of photonics and electronics.
Graduate Fellowships: Awarded multiple fellowships during PhD for research and teaching excellence.

Publications

Semi-Supervised Learning Using Sparsely Labelled Sip Events for Online Hydration Tracking Systems
A. Roy, H. Dutta, A. K. Bhuyan, and S. K. Biswas, 2023, International Conference on Machine Learning and Applications (ICMLA).
Cited by: 3 articles.

An On-Device Learning System for Estimating Liquid Consumption from Consumer-Grade Water Bottles and Its Evaluation
Roy, A., Dutta, H., Griffith, H., & Biswas, S., 2022, Sensors.
Cited by: 5 articles.