Sunil M P | Electronics and Communication Engineering | Best Faculty Award

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Mr Sunil M P | Electronics and Communication Engineering | Best Faculty Award

Mr Sunil M P , Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University) , India

Dr. Sunil M P is an Assistant Director of the IQAC and an Assistant Professor in the Department of Electronics and Communication Engineering at JAIN (Deemed-to-be University). With a B.E. in Electronics and Communication Engineering from Visvesvaraya Technological University and an M.Tech in Electronics Design and Technology from NIT Calicut, he brings over 12 years of teaching experience. Dr. Sunilā€™s research spans Embedded Systems, Machine Learning, IoT, Artificial Intelligence, VLSI Circuit Design, and Image Processing. He is also pursuing a PhD in Bio-Medical applications using AI and ML. His scholarly contributions include 70 peer-reviewed journal papers and six Indian patents. Dr. Sunilā€™s dedication to advancing technology and education highlights his commitment to innovation and academic excellence.

Publication Profile

Google Scholar

Strengths for the Award

  1. Extensive Research Output:
    • Publications: Mr. Sunil M P has published 70 papers in peer-reviewed journals and has presented research at various international conferences. His work spans across multiple advanced topics such as Embedded System Design, Machine Learning, IoT, and Artificial Intelligence, showcasing his versatility and depth in research.
    • Patents: He holds 6 Indian patents, indicating a strong ability to translate research into practical innovations. His patents address diverse applications, from traffic monitoring systems to automated concrete mixing systems.
  2. Diverse Research Interests:
    • His research covers a wide range of fields including Embedded Systems, Machine Learning, Deep Learning, IoT, AI, VLSI Circuit Design, and Bio-Medical Engineering. This broad spectrum highlights his ability to contribute to multiple areas of technological advancement.
  3. Academic Contributions:
    • Mr. Sunil M P has guided numerous M.Tech and B.E projects, reflecting his commitment to fostering research and development among students. His guidance on various projects demonstrates his role in nurturing the next generation of engineers.
  4. Awards and Recognition:
    • He has received multiple Best Paper Awards for his work, which underscores the high quality and impact of his research. Awards from reputable conferences indicate that his contributions are well-recognized and valued in the academic community.
  5. Doctoral Research:
    • Currently pursuing a PhD in Bio-Medical Engineering using AI and Machine Learning, Mr. Sunil M P is engaged in cutting-edge research that promises significant contributions to both the academic and practical realms.

Areas for Improvement

  1. Collaboration and Interdisciplinary Work:
    • While his research is diverse, engaging in more interdisciplinary collaborations could further enhance the scope and impact of his work. Collaborative projects with researchers from other fields might offer new perspectives and lead to innovative solutions.
  2. Broader Dissemination:
    • Increasing the visibility of his research through participation in global conferences and contributing to high-impact journals could further amplify his influence in the field.
  3. Continued Professional Development:
    • Regularly updating skills and knowledge in emerging technologies and research methodologies will ensure that Mr. Sunil M P remains at the forefront of his field.

Education

Dr. Sunil M P completed his Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Visveswaraiah Technological University in 2008 with a percentage of 61.6%. He then pursued a Master of Technology (M.Tech) in Electronics Design and Technology at the National Institute of Technology, Calicut, graduating in 2011 with a CGPA of 7.59. Dr. Sunil is currently pursuing a Ph.D. in Electronics Engineering from JAIN (Deemed-to-be University), with his colloquium completed in 2019. His academic journey reflects a strong foundation in both practical and theoretical aspects of electronics and communication, providing him with the skills necessary for advanced research and teaching in his field.

ExperienceĀ 

Dr. Sunil M P brings 12 years of teaching experience, with a notable tenure as an Assistant Professor at JAIN (Deemed-to-be University) since August 2011. His role extends beyond teaching, as he also serves as the Assistant Director of IQAC, contributing to the quality assurance and enhancement of academic standards. His extensive experience includes guiding both M.Tech and B.E. projects, with a focus on innovative solutions and practical applications. Dr. Sunilā€™s professional experience is complemented by his active involvement in research, with a strong record of publications in peer-reviewed journals and patents. His contributions have significantly impacted the field of Electronics and Communication Engineering, both through academic instruction and research advancements.

Research FocusĀ 

Dr. Sunil M P’s research focuses on a range of cutting-edge technologies including Embedded System Design, Machine Learning, Deep Learning, IoT, and Artificial Intelligence. His work extends into Analog and Digital Integrated VLSI Circuit Design, Data Converters, and Image Processing. Currently, he is pursuing a doctoral degree with a concentration on Bio-Medical applications using AI and Machine Learning, aiming to advance healthcare technology through innovative solutions. His research is distinguished by a blend of theoretical insights and practical applications, leading to significant contributions in areas like traffic monitoring systems, wearable health devices, and automated systems for various applications. With 70 publications in esteemed journals and six Indian patents, Dr. Sunilā€™s research efforts demonstrate his commitment to pushing the boundaries of technology and its applications.

Publications Top Notes

  1. Enabling IoT services using WIFI-ZigBee gateway for a home automation system šŸŒšŸ”§
  2. Dynamic traffic rule violation monitoring system using automatic number plate recognition with SMS feedback šŸš¦šŸ“±
  3. Design and implementation of two stage CMOS operational amplifier using 90nm technology šŸ“‰šŸ”¬
  4. Inventory management system using IoT šŸ“¦šŸŒ
  5. Traffic light and sign detection for autonomous land vehicle using Raspberry Pi šŸš—šŸ› ļø
  6. Wearable device to measure heart beat using IoT šŸ’“šŸ”—
  7. Smart biogas plant šŸŒæā™»ļø
  8. Minimization of floor planning area and wire length interconnection using particle swarm optimization šŸ“šŸ’”
  9. Raspberry Pi based energy management system šŸ’”šŸ”‹
  10. Autonomous quadcopter for agricultural land surveillance šŸššŸŒ¾
  11. Pedometer and calorie calculator for fitness tracking using MEMS digital accelerometer šŸƒā€ā™‚ļøšŸ”
  12. A novel ultra-low power and PDP 8T full adder design using bias voltage šŸ”¢šŸ”¬
  13. FPGA Based Design & Implementation of Orthogonal Frequency Division Multiplexing Receive Module using VHDL šŸŽ›ļøšŸ”
  14. Simulation study of Brent Kung adder using Cadence tool āš™ļøšŸ“ˆ
  15. IoT based automated sericulture system šŸ•µļøā€ā™‚ļøšŸŒ¾
  16. Autonomous ground vehicle for agricultural applications šŸšœšŸŒ¾
  17. MED-Alert: an IoT device šŸš‘šŸŒ
  18. Design of an event based surveillance system using advanced technology šŸŽ„šŸ”’
  19. Health monitoring system for ambulance šŸš‘šŸ’‰
  20. Facial emotion recognition using a modified deep convolutional neural network based on the concatenation of Xception and ResNet50 v2 šŸ˜ƒšŸ¤–

Conclusion

Mr. Sunil M P’s impressive portfolio of research, publications, patents, and awards positions him as a deserving candidate for the Best Researcher Award. His significant contributions to multiple advanced fields, demonstrated by high-quality publications and impactful patents, reflect his dedication and expertise. Addressing the areas for improvement could further solidify his standing as a leading researcher in his domain

Weijia Jia | AI on Edge Computing | Best Researcher Award

Posted on by Academic achievements

Prof. Weijia Jia | AI on Edge Computing | Best Researcher Award

Director | Beijing Normal University (Zhuhai), China | China

Evaluation of Weijia Jia for the Best Researcher Award

Strengths for the Award:

Weijia Jia exemplifies excellence in research, making a compelling case for the “Best Researcher Award” with his significant achievements and contributions. His extensive educational background, including degrees from prestigious institutions and significant research experience across various international platforms, underscores his deep expertise. Jiaā€™s role as Dean of the Institute of Artificial Intelligence and Future Networks at Beijing Normal University, coupled with his leadership at the Interdisciplinary Intelligent Supercomputing Center, highlights his influential position in advancing AI and supercomputing.

His impressive list of honors, such as the IEEE Fellow title, numerous awards including the IEEE Outstanding Paper Award and the Best Student Paper Award, and recognition as a top scientist by Stanford University, reflect his impactful contributions to the field. His research in edge computing, multi-server allocation, and AI-driven solutions has resulted in high-impact publications in leading journals like IEEE Transactions and ACM Transactions. The substantial citation count and h-index reinforce his scholarly influence and the relevance of his work in the academic community.

Areas for Improvement:

While Jiaā€™s research portfolio is robust, there are areas where improvements could further bolster his candidacy. Expanding his research focus to include emerging areas such as quantum computing or interdisciplinary applications could enhance his influence. Additionally, increasing collaboration with industry partners could accelerate the practical implementation of his research findings and bridge the gap between theoretical advancements and real-world applications.

Moreover, fostering greater visibility in diverse academic conferences and engaging in collaborative research projects with international institutions could broaden his impact and contribute to a more globalized perspective in his work. Strengthening outreach and communication efforts to highlight the societal benefits and practical applications of his research could further enhance his reputation and influence.

Short Bio:

Weijia Jia is a distinguished academic and researcher specializing in artificial intelligence and future networks. Currently serving as the Dean of the Institute of Artificial Intelligence and Future Networks and the Director of the Interdisciplinary Intelligent Supercomputing Center at Beijing Normal University (BNU-Zhuhai), Jia has made significant contributions to edge computing and intelligent systems. His extensive career includes roles as a Chair Professor and Vice President for Research & Development, reflecting his leadership and expertise in advancing technological research and innovation.

Profile:

Google Scholar

Education:

Weijia Jiaā€™s educational background is extensive and international. He completed his BSc and MSc in Computer Science at Central-South University, Changsha, China. He furthered his studies with a MSc in Applied Science from the Faculty Polytechnic of Mons, Belgium, and earned his PhD from the same institution. This robust educational foundation has provided Jia with a deep and broad understanding of computer science and its applications.

Experience:

Jiaā€™s career spans several prestigious academic and research institutions. Starting as an Assistant Lecturer at Central-South University, he has held significant positions including Visiting Professor at the University of Ottawa, Research Fellow at GMD, and Professor roles at City University of Hong Kong and Shanghai Jiao-tong University. His current role at Beijing Normal University (BNU-Zhuhai) includes serving as the Dean and Director, highlighting his leadership in AI and supercomputing research.

Research Interests:

Weijia Jiaā€™s research interests are centered on artificial intelligence, edge computing, and intelligent supercomputing. His work explores dynamic resource allocation, container scheduling, and innovative AI models for efficient computing. Jiaā€™s research aims to address challenges in distributed systems and networked environments, contributing to advancements in both theoretical and practical aspects of AI and computing technologies.

Awards:

Jiaā€™s research excellence has been recognized through numerous awards. He is a 2020 IEEE Fellow and has received accolades such as the IEEE Outstanding Paper Award and Best Student Paper Award in 2023. His contributions have earned him a place among the top 2% of lifetime scientists by Stanford University, and he has received various national and international awards, including the 1st Prize of Scientific Research Awards from Chinaā€™s Ministry of Education in 2017.

Publications:

Joint Resource Overbooking and Container Scheduling in Edge Computing, IEEE Transactions on Mobile Computing, 2024 (Early Access). Cited by: Tang et al., 2024.

Dynamic Parallel Multi-Server Selection and Allocation in Collaborative Edge Computing, IEEE Transactions on Mobile Computing, 2024 (Early Access). Cited by: Xu et al., 2024.

Adversarial Bandits With Multi-User Delayed Feedback: Theory and Application, IEEE Transactions on Mobile Computing, 2024 (Early Access). Cited by: Li et al., 2024.

MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection, IEEE Transactions on Knowledge and Data Engineering, 36(8), 2024. Cited by: Wang et al., 2024.

EF-DETR: A Lightweight Transformer-Based Object Detector With an Encoder-Free Neck, IEEE Transactions on Industrial Informatics, 2024 (Early Access). Cited by: Cheng et al., 2024.

Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach, IEEE Transactions on Services Computing, 2024 (Early Access). Cited by: Cui et al., 2024.

OffsetINT: Achieving High Accuracy and Low Bandwidth for In-Band Network Telemetry, IEEE Transactions on Services Computing, 17(3), 2024. Cited by: Qian et al., 2024.

SecEG: A Secure and Efficient Strategy against DDoS Attacks in Mobile Edge Computing, ACM Transactions on Sensor Networks, 20(3), 2024. Cited by: Huang et al., 2024.

Startup-aware Dependent Task Scheduling with Bandwidth Constraints in Edge Computing, IEEE Transactions on Mobile Computing, 23(2), 1586-1600, 2024. Cited by: Lou et al., 2024.

Perceptual Quality Analysis in Deep Domains Using Structure Separation and High-Order Moments, IEEE Transactions on Multimedia, 26, 2219-2234, 2024. Cited by: Xian et al., 2024.

Conclusion:

Weijia Jia’s distinguished career, marked by significant achievements in AI and supercomputing, exceptional research output, and notable awards, positions him as a strong candidate for the “Best Researcher Award.” His deep expertise, innovative contributions, and leadership in advancing cutting-edge technologies are commendable. Addressing the areas for improvement, particularly in expanding research focus and enhancing industry collaboration, could further solidify his standing as a leading researcher in his field. Overall, Jia’s credentials and accomplishments align well with the criteria for the award, making him a deserving nominee for this prestigious recognition.

 

Abdulsalam Ibrahim Shema | Architecture | Best Researcher Award

Posted on by Academic achievements

Assist Prof Dr Abdulsalam Ibrahim Shema | Architecture | Best Researcher Award

Assist Prof Dr Abdulsalam Ibrahim Shema , International University of East Africa , Uganda

Dr. Abdulsalam Shema, a distinguished architect and academic, was born in 1987 in Katsina State, Nigeria. With a career spanning over a decade, he excels in teaching and research in architecture. Dr. Shema is known for his commitment to high standards, enthusiasm for challenges, and strong communication skills. He currently serves as a Senior Lecturer and Deputy Dean at the International University of East Africa and holds visiting professorships at multiple universities, including Girne American University and Kirirom Institute of Technology. His dedication extends beyond academia into architectural practice, where he contributes as a Resident Architect and Director of Project Management. With a profound interest in sustainable design and urban development, Dr. Shema is a passionate advocate for integrating innovative solutions in architecture and education.

Publication Profile

Google Scholar

Strengths for the Award

  1. Diverse Academic and Professional Experience:
    • Dr. Abdulsalam Shema has a robust academic background, including positions as Senior Lecturer, Visiting Assistant Professor, and Assistant Professor at various international institutions. His extensive teaching experience spans both undergraduate and graduate levels, covering a wide range of subjects in architecture and urban studies.
    • His professional experience as a Resident Architect and Director of Project Management demonstrates practical expertise in architecture and construction, complementing his academic achievements.
  2. Notable Publications:
    • Dr. Shema has a significant number of publications in reputable journals and conferences, addressing a variety of contemporary issues in architecture and urban studies. His research includes topics such as sustainable urban development, social sustainability in slums, and innovative construction technologies.
    • His work on integrating 3D printing, AI, and IoT for sustainable construction and urban farming highlights his engagement with cutting-edge research.
  3. Active Involvement in Curriculum Development:
    • He has played key roles in curriculum design and review committees, indicating a commitment to advancing educational standards and adapting to new challenges in architecture education.
  4. International Recognition and Collaboration:
    • Dr. Shemaā€™s guest lectures, seminars, and workshops at various international institutions show his active engagement with the global academic community and his role in promoting architectural discourse across different cultures.
  5. Thesis Supervision:
    • He has successfully supervised a range of theses, from master’s to PhD levels, on diverse and impactful topics such as urban resilience, smart architecture, and sustainable urban metamorphosis.

Areas for Improvement

  1. Research Funding and Grants:
    • While his publication record is impressive, seeking additional research grants and funding could enhance the scope and impact of his research projects. Establishing partnerships with funding bodies or participating in larger collaborative research projects might provide more resources and opportunities.
  2. Broader Impact Metrics:
    • Including more data on the societal impact of his research, such as policy changes, community improvements, or technological advancements resulting from his work, could strengthen his case for the award. Highlighting case studies where his research has directly influenced practice or policy would be beneficial.
  3. Visibility of Research Contributions:
    • Increasing visibility through more public engagement activities, such as media appearances, public lectures, or community-based projects, could further showcase the significance of his research to a broader audience.
  4. Interdisciplinary Research:
    • While his work is multidisciplinary, further collaboration with researchers from fields outside architecture, such as social sciences, technology, or environmental studies, could lead to more innovative and holistic research outcomes.

EducationĀ 

Dr. Abdulsalam Shema earned his Bachelor of Science in Architecture from Ahmadu Bello University, Zaria (2006-2011), where he laid the foundation for his architectural career. He further pursued his Master of Architecture at Cyprus International University (2014-2016), deepening his expertise in the field. His academic journey culminated in a PhD in Architecture from the same institution (2016-2020), focusing on architectural theory and urban form. In addition to his degrees, he obtained a Higher Education Teaching Certificate from Near East University in 2022, equipping him with advanced pedagogical skills to enhance his teaching effectiveness. This educational background has prepared Dr. Shema to address complex architectural and urban challenges through innovative and research-driven approaches.

ExperienceĀ 

Dr. Abdulsalam Shema has a rich professional background in academia and architectural practice. As a Senior Lecturer and Deputy Dean at the International University of East Africa since 2023, he has also held visiting professorships at Girne American University, Kirirom Institute of Technology, and Cyprus International University. His prior roles include Assistant Professor and Lecturer positions, contributing significantly to curriculum development and educational leadership. Beyond academia, Dr. Shema is an accomplished architect with NIQPLUS LIMITED and Ibrahim Maiunguwa Shema & Sons Ltd., where he focuses on project management and architectural design. His diverse experience across different educational institutions and architectural projects highlights his expertise in both theoretical and practical aspects of architecture, emphasizing his ability to lead, innovate, and educate effectively.

Research FocusĀ 

Dr. Abdulsalam Shemaā€™s research primarily revolves around sustainable architecture, urban development, and the integration of advanced technologies in construction. His work explores themes such as energy efficiency, urban metamorphosis, and the impact of architectural design on social sustainability. Dr. Shema has investigated the role of 3D printing, artificial intelligence, and the Internet of Things in constructing sustainable smart environments. His research also delves into the architectural challenges faced in informal settlements and the potential of vertical farming in urban contexts. By addressing these areas, Dr. Shema aims to contribute to the advancement of resilient and sustainable urban environments. His scholarly output reflects a commitment to addressing pressing global issues through innovative architectural solutions and interdisciplinary approaches.

Publications Top Notes

  • Assessment of African Vernacular Built Environment and Power: The Case of the Walled City of Zaria, Nigeria šŸ›ļø
  • The Integration of 3D Printing, Artificial Intelligence and Internet of Things for Construction of Sustainable Smart Hellion šŸ¤–
  • An Architect in The Slum: Urban Metamorphosis and Slum Upgrading Through the Lens of Social Sustainability, Case of Kiwenpe, Uganda šŸŒ
  • Urban Vertical Farming as a Path to Healthy and Sustainable Urban Built Environment šŸŒ±
  • Rethinking Architecture and Urban Form in the Context of Power Discourse: Case Study Nicosia, North Cyprus šŸ™ļø
  • Energy Efficiency in Residential Buildings Using Nano-Wood Composite Materials šŸ 
  • Examining the Instructor Management Benefits of Student Information System: An Empirical Investigation šŸ“š
  • The Politics of Memory: Perception and Imageability of Kano City šŸ›ļø
  • A Morphological Practice: Conzenian and Canniggian Approach, Analysis of Zaria City šŸŒ†
  • A Comparative Analysis of User Satisfaction in Closed and Open Office Buildings: Case Study of Some Selected Buildings in Abuja šŸ¢
  • A Phenomenological and Hermeneutical Confrontation of Ahmadu Bello University Zaria Senate Building šŸ«
  • Changing the Narrative on Street Vending; Governance, Diversification and the Urban Image šŸ›’

Conclusion

Dr. Abdulsalam Shema is a strong candidate for the Research for Best Researcher Award. His extensive academic and professional background, coupled with his significant contributions to architectural research and education, positions him well for this recognition. By addressing areas for improvement, particularly in enhancing research impact and visibility, he could further solidify his standing as a leading researcher in his field. Overall, Dr. Shemaā€™s achievements and ongoing contributions demonstrate a high level of excellence and commitment to advancing architectural and urban research.

Lijuan Zhang | Deep Learning | Best Researcher Award

Posted on by Academic achievements

Prof. Dr. Lijuan Zhang | Deep Learning | Best Researcher AwardĀ 

Professor | College of Internet of Things Engineering, Wuxi University, Wuxi | China

Research for Best Researcher Award Evaluation

Strengths for the Award

  1. Academic Excellence and Educational Background: Lijuan Zhang has an impressive academic background with degrees from notable institutions, consistently ranking in the top percentile of her class. Her extensive education in engineering, particularly in the field of opto-electronic and computer sciences, provides a solid foundation for her research work.
  2. Diverse and Relevant Research Contributions: Dr. Zhang’s research spans several critical areas, including adaptive optics, image restoration, and advanced image processing techniques. Her work on blind deconvolution algorithms and high-accuracy image registration is highly relevant in the fields of optics and computer vision.
  3. High Impact Publications: Dr. Zhang has a significant number of publications in reputed journals, including several in high-impact SCI and EI-indexed journals. Notable papers include her recent work on Class-Incremental Learning and YOLO-based pest detection algorithms, reflecting her current focus on integrating advanced AI techniques with practical applications.
  4. Innovative Patents and Projects: She holds patents related to rangefinders and has led multiple research projects funded by prestigious institutions. These patents and projects demonstrate her capability to translate theoretical research into practical, impactful technologies.
  5. Recognition and Honors: Dr. Zhang has received multiple awards, including the third-level prize for her work on CCD ranging technology and an outstanding level prize for her rangefinder invention. These accolades underscore the significant impact of her contributions to her field.
  6. Teaching and Mentorship: Her role as a university teacher at Changchun University of Technology and recognition as an outstanding graduation design teacher indicate her commitment to education and her influence on the next generation of engineers.

Areas for Improvement

  1. Broader Research Dissemination: While Dr. Zhang has several publications, expanding her research into more interdisciplinary journals could increase the visibility and impact of her work across different fields.
  2. Collaborative Research: Engaging in more collaborative projects with international researchers could enhance the scope and impact of her research. Collaborative efforts often lead to more innovative solutions and broader application of findings.
  3. Funding and Grants: Securing more extensive and diverse funding sources, including international grants, could enable more ambitious projects and further innovations. Diversifying funding sources could also enhance the sustainability and reach of her research endeavors.
  4. Public Outreach and Engagement: Increasing engagement with the public and industry stakeholders through conferences, workshops, and outreach programs could help in translating her research into more widely adopted technologies and practices.
  5. Focus on Emerging Technologies: Staying updated with rapidly evolving technologies such as quantum computing, next-gen AI models, and their applications could provide new avenues for her research, ensuring its relevance in the future.

Short Bio

Dr. Lijuan Zhang is a distinguished researcher in the fields of image processing and adaptive optics, currently serving as a professor at the College of Internet of Things Engineering, Wuxi University, China. With a career spanning over two decades, Dr. Zhang has made significant contributions to the development of advanced algorithms and technologies for image restoration and object detection. Her work is characterized by a commitment to integrating theoretical research with practical applications, earning her recognition and accolades in her field.

Profile

ORCID

Education

Dr. Zhang earned her Bachelor of Engineering from Jilin Normal University in 2001, ranking in the top 10% of her class. She then completed her Master of Engineering at Changchun University of Science and Technology in 2004, where she was ranked in the top 5%. She achieved her Doctor of Engineering degree in 2015 from the same institution, also finishing in the top 5%. Her educational journey underscores a solid foundation in engineering and computer science.

Experience

Since 2004, Dr. Zhang has been a faculty member at Changchun University of Technology, where she has taught various courses in computer science and engineering. Her role as an educator extends to guiding students in their research projects and graduation designs. Additionally, she has been involved in leading and completing several research projects, contributing to advancements in image measurement and detection technologies.

Research Interest

Dr. Zhangā€™s research interests primarily focus on adaptive optics, image restoration, and advanced image processing techniques. Her work explores algorithms for blind deconvolution, high-accuracy image registration, and object detection using AI technologies. Recently, she has been involved in developing innovative solutions for agricultural pest detection and medical image segmentation.

Awards

Dr. Zhang has received notable recognition for her contributions to engineering and technology. She was awarded the third-level prize for her work on high precision CCD ranging technology in 2012 and the outstanding level prize for her binocular CCD rangefinder invention in 2013. She was also honored as an Outstanding Graduation Design Teacher at Changchun University of Technology in 2013.

Publications

Zhang, L., Li, D., Su, W., Yang, J., & Jiang, Y. (2014). Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method. Abstract and Applied Analysis. DOI: 10.1155/2014/781607 (Cited by: 54)

Zhang, L., Yang, J., Su, W., et al. (2014). Based on improved Expectation Maximization of Multi-frame Iteration Blind Deconvolution Algorithm for Adaptive Optics Image Restoration. Acta Armanebtarii, 35(11) (in Chinese) (Cited by: 32)

Zhang, L., Yang, J., Su, W., Wang, X., & Jiang, Y. (2013). Research on Blind Deconvolution Algorithm of Multi-Frame Turbulence Degraded Images. Journal of Information and Computational Science, 10(12) (Cited by: 27)

Zhang, L., Yang, J., Jiang, Y., et al. (2014). Research on Target Image Matching Algorithm for Binocular CCD Ranging. Laser & Optoelectronics Progress, 51(9) (in Chinese) (Cited by: 21)

Zhang, L., Yang, J., & Jiang, C. (2012). Image Restoration Based on Cross-correlative Blur Length Estimation. Computer Engineering, 9(20) (in Chinese) (Cited by: 19)

Zhang, L., Li, D., et al. (2012). High-accuracy Image Registration Algorithm Using B-splines. ICCSNT 2012 (Cited by: 15)

Zhang, L., Yang, J., et al. (2011). An Image Mosaic Algorithm Taking into Account Speed and Robustness. ICMEAT 2011 (Cited by: 13)

Zhang, L., Yang, X., et al. (2023). Class-Incremental Learning Based on Anomaly Detection. IEEE ACCESS, 2023.7 (SCI, Q2) (Cited by: 7)

Zhang, L., Zhao, C., et al. (2023). Pests Identification of IP102 by YOLOv5 Embedded with the Novel Lightweight Module. Agronomy, 2023.6 (SCI, Q1) (Cited by: 5)

Li, D., Yin, S., Lei, Y., Zhang, L., et al. (2023). Segmentation of White Blood Cells Based on CBAM-DC-UNet. IEEE Access, 2023.1 (SCI, Q2) (Cited by: 9)

Zhang, L., Liu, J., et al. (2022). MSAA-Net: A Multi-Scale Attention-Aware U-Net for Liver Segmentation. Signal, Image and Video Processing, 2022.7 (SCI, Q4) (Cited by: 4)

Zhang, L., Ding, G., et al. (2023). DCF-Yolov8: An Improved Algorithm for Aggregating Low-Level Features to Detect Agricultural Pests and Diseases. Agronomy, 2023.8 (Cited by: 3)

Zhang, L., Cui, H., et al. (2023). CLT-YOLOX: Improved YOLOX Based on Cross-Layer Transformer for Object Detection Method Regarding Insect Pest. Agronomy, 2023.8 (Cited by: 2)

Conclusion

Lijuan Zhang is a highly qualified candidate for the Best Researcher Award due to her extensive academic background, significant research contributions, and recognized achievements. Her innovative work in image processing and adaptive optics, coupled with her leadership in research projects and educational contributions, highlight her exceptional capabilities as a researcher. Addressing the suggested areas for improvement could further enhance her impact and ensure her continued leadership in the field. Overall, Dr. Zhang’s achievements and potential make her a deserving nominee for the award.

 

MARTA MOSCHETTI | rare diseases | Women Researcher Award

Posted on by Academic achievements

MARTA MOSCHETTI | rare diseases | Women Researcher Award

RESEARCH GRANT, NATIONAL RESEARCH COUNCIL, ITALY

Dr. Marta Moschetti, born on April 4, 1986, is an accomplished Italian researcher currently working as a Research Fellow at the Institute for Biomedical Research and Innovation (IRIB) – National Research Council (CNR) in Palermo. Her research focuses on genetic and enzymatic alterations in lysosomal storage diseases, particularly Pompe Disease. She has a robust background in experimental oncology, extracellular vesicles, and various chromatographic techniques.

Profile

Scopus

Strengths for the Award

Specialized Research Expertise: Marta Moschetti has demonstrated significant expertise in various research areas, including lysosomal storage diseases, extracellular vesicles, and oncology. Her work on Pompe Disease and the isolation of extracellular vesicles from cancer cell lines reflects a deep understanding of cutting-edge biomedical research.

Publication Record: She has a robust publication record in high-impact journals, including the International Journal of Molecular Sciences, Journal of Extracellular Vesicles, and Cancer Cell International. Her contributions to these journals underscore her active engagement and leadership in her research field.

Diverse Experience: Her diverse experience across multiple research institutions and roles, from PhD research on tumor-derived exosomes to her current position at the Institute for Biomedical Research and Innovation, illustrates a broad and applied skill set. This versatility is crucial for innovative and impactful research.

International Exposure: Her participation in international conferences and meetings, such as ISEV2022 and the World Congress on Complementary and Alternative Medicine, demonstrates her global engagement and recognition in the scientific community.

Areas for Improvement

Broader Impact and Outreach: While her research is specialized and technically strong, expanding her outreach to include more collaborative projects or interdisciplinary research could enhance the broader impact of her work. This could involve engaging in collaborative research with other fields or increasing her involvement in public science communication.

Longer-term Research Goals: Providing a more detailed overview of her long-term research goals and how they align with current and future scientific challenges could strengthen her profile. This would offer insight into how her work will shape future research directions.

Education šŸŽ“

Dr. Moschetti earned her PhD in “Experimental Oncology and Surgery” from the University of Palermo in 2022, where her research explored the role of tumor-derived exosomes in metastatic niche formation. She also completed a period abroad at the Institute of Clinical Sciences in Sweden, focusing on extracellular vesicles. Her educational journey includes extensive training in scientific research methodologies and techniques.

Experience šŸ’¼

Dr. Moschetti’s career includes significant roles in both research and applied science. She has been a Research Fellow at IRIB-CNR since January 2023, working on Pompe Disease. Previously, she has held positions at the Institute of Biophysics (IBF) – CNR, including research collaborator roles and a training grant position, where she specialized in gas chromatography-mass spectrometry, HPLC, and the study of bioactive compounds in food matrices.

Research Interest šŸ”¬

Her research interests are centered on lysosomal storage diseases, particularly Pompe Disease, and extracellular vesicles’ role in cancer metastasis. She is involved in studying genetic mutations, enzymatic activities, and the impact of extracellular vesicles on liver cells and cancer progression.

Award šŸ†

Dr. Moschetti has been recognized for her contributions to scientific research through various awards and accolades, including conference presentations and poster awards at prominent scientific meetings, such as ISEV2022 and the XI SINut National Congress.

Publication Top Notes šŸ“š

Mutation Spectrum of GAA Gene in Pompe Disease: Current Knowledge and Results of an Italian Study, International Journal of Molecular Sciences, 2024

Heat inactivation of foetal bovine serum performed after EV-depletion influences the proteome of cell-derived extracellular vesicles, Journal of Extracellular Vesicles, 2024

Citral-Enriched Fraction of Lemon Essential Oil Mitigates LPS-Induced Hepatocyte Injuries, Biology, 2023

Late-Onset Pompe Disease with Normal Creatine Kinase Levels: The Importance of Rheumatological Suspicion, International Journal of Molecular Sciences, 2023

Colorectal cancer-derived small extracellular vesicles induces TGFĪ²1-mediated epithelial to mesenchymal transition of hepatocytes, Cancer Cell International, 2023

Conclusion

Marta Moschetti is highly suitable for the Best Researcher Award based on her impressive publication record, specialized research expertise, and active participation in the international scientific community. Her contributions to understanding complex biomedical issues, such as lysosomal storage diseases and cancer metastasis, are noteworthy. Addressing areas for improvement, such as enhancing broader impact and outlining long-term research goals, could further strengthen her candidacy and highlight her potential for future groundbreaking contributions

kang yen | Electrical Engineering | Best Faculty Award

Posted on by Academic achievements

Prof Dr . kang yen | Electrical Engineering | Best Faculty AwardĀ 

Professor & Director , FIU , United States

Dr. Kang Kenneth Yen is a distinguished Professor and Director of the External Program at the College of Engineering and Computing, Florida International University (FIU). With a prolific career spanning several decades, Dr. Yen’s expertise lies in Electrical Engineering, particularly in cybersecurity, digital signal processing, and advanced control systems. His contributions extend to significant roles such as Assistant Provost for the China Program, Graduate Program Director, and Chairperson of the Department of Electrical and Computer Engineering at FIU

Profile

Scopus

Strengths for the Award

  1. Extensive Academic and Professional Experience: Dr. Kang Kenneth Yen has a rich academic background with a Ph.D. in Electrical Engineering from Vanderbilt University and a notable career spanning multiple prestigious positions, including Chairperson of the Department of Electrical and Computer Engineering at FIU and Director of International Program Development. His extensive experience in academia demonstrates a long-standing commitment to both research and education.
  2. Leadership and Administrative Roles: Dr. Yen’s roles as Assistant Provost (China Program) and Director of External Programs highlight his leadership capabilities and ability to manage complex programs. His leadership in developing international programs and directing graduate studies underscores his contributions to expanding educational and research opportunities.
  3. Funded Research and Projects: Dr. Yen has successfully secured funding for a diverse array of projects, including work with NASA, the Department of Homeland Security, and the Florida Center for Cybersecurity. This indicates a strong ability to attract and manage substantial research grants, reflecting his research’s relevance and impact.
  4. Published Research: Dr. Yen has published numerous articles in high-impact journals and conferences, with a focus on machine learning, control systems, and sensor networks. His publications on topics such as false data injection attacks and machine learning applications in industrial systems demonstrate significant contributions to his field.
  5. International Recognition: His invited talks at various international institutions and collaborations with researchers from different countries enhance his global presence and demonstrate his influence in the field of electrical and computer engineering.

Areas for ImprovementĀ Ā 

  1. Broader Impact and Interdisciplinary Work: While Dr. Yen’s research is highly specialized, there may be opportunities to broaden his impact by engaging in more interdisciplinary projects. Exploring collaborations with other departments or fields could enhance the applicability and reach of his research.
  2. Recent Innovations and Emerging Trends: While Dr. Yenā€™s work is substantial, focusing more on emerging trends and innovations in electrical engineering and related fields could further strengthen his research portfolio. Staying abreast of the latest technological advancements and integrating them into his research could offer new avenues for exploration.
  3. Student and Community Engagement: Expanding efforts to involve students in research projects and community outreach programs could enhance the educational experience and contribute to the broader impact of his work. Initiatives aimed at increasing student participation in research and fostering industry partnerships might also be beneficial.

    Education

    Dr. Yen holds a Ph.D. in Electrical Engineering from Vanderbilt University (August 1985), an M.E.E in Electrical Engineering from the University of Virginia (December 1979), and a B.S. in Geophysics from National Central University, Taiwan (July 1974). His educational background reflects a robust foundation in both theoretical and applied aspects of Electrical Engineering.

    Experience

    Dr. Yen’s extensive experience includes roles as the Director of International Program Development, Chairperson of the Department of Electrical and Computer Engineering, and Visiting Professor at Universite de Nancy I, France. He has also served as a Mechanical Engineer and Instructor in Taiwan. His leadership in various academic and administrative positions has significantly advanced the engineering programs at FIU.

    Research Interests

    Dr. Yen’s research interests encompass cybersecurity for safety-critical cyber-physical systems, advanced signal processing, and machine learning applications in control systems. His work focuses on developing innovative solutions for enhancing system security, optimizing sensor technology, and improving control systems’ performance.

    Awards

    Dr. Yen has been recognized for his contributions to engineering and education, including various funded projects and grants for research in cybersecurity, sensor optimization, and control systems. His achievements include significant projects funded by NASA, DHS, and the US DOT, showcasing his impact on both academia and industry.

    Publications

    Dr. Yen has authored numerous influential papers in top-tier journals. Some of his notable publications include:

Abdulsalam Ibrahim Shema | Architecture | Best Researcher Award

Posted on by Academic achievements

Assist Prof DrĀ  Abdulsalam Ibrahim Shema | Architecture | Best Researcher Award

Assist Prof Dr Abdulsalam Ibrahim Shema , International University of East Africa | Uganda

Dr. Abdulsalam Shema is a dedicated academic and researcher specializing in architecture and urban planning. Born in Katsina, Nigeria, in 1987, he holds a PhD in Architecture from Cyprus International University. With extensive experience in academia and industry, Dr. Shema is currently a Senior Lecturer at the International University of East Africa and serves as a Visiting Assistant Professor at Girne American University and Kirirom Institute of Technology. His career spans over a decade, including roles as Head of Department and Deputy Dean. Dr. Shema combines his passion for teaching and research with practical experience as a resident architect and director of a project management firm. His work is characterized by a commitment to sustainability and innovation in urban design and architecture. An enthusiastic traveler and sportsman, Dr. Shema enjoys meeting new people and exploring diverse cultures.

Publication Profile

Google Scholar

Strengths for the Award

  1. Diverse Expertise:
    • Academic and Professional Roles: AbdulSalam Shema holds multiple prominent positions across several institutions, including the International University of East Africa, Girne American University, Kirirom Institute of Technology, and Cyprus International University. This diverse academic involvement reflects a broad and deep engagement in architectural education and research.
    • Broad Range of Skills: He demonstrates a wide range of skills, including classroom management, curriculum design, problem-solving, and leadership. These skills are essential for impactful research and teaching.
  2. Extensive Research Contributions:
    • High-Quality Publications: Shema has published numerous articles in reputable journals, including the Journal of Asian and African Studies and the International Journal of Civil Engineering & Technology. His research topics are diverse, covering African vernacular architecture, urban sustainability, and energy efficiency in buildings.
    • Innovative Research Topics: His work explores cutting-edge topics such as the integration of 3D printing, AI, and IoT in construction, and the role of urban vertical farming in sustainability. These contributions reflect a forward-thinking approach to architecture and urban studies.
  3. Leadership and Impact:
    • Administrative Roles: Shema has served as Deputy Dean and Head of Department at several universities, indicating strong leadership skills and the ability to influence academic programs and curricula.
    • Workshop and Conference Contributions: His involvement in organizing and participating in workshops and conferences highlights his commitment to advancing architectural education and practice. He has also been a guest lecturer on significant topics, further extending his impact.
  4. Thesis Supervision:
    • Diverse Thesis Supervision: Shema supervises a range of graduate and undergraduate theses, reflecting his ability to guide and mentor students in various aspects of architecture. This role underscores his expertise and dedication to fostering the next generation of architects.

Areas for Improvement

  1. Publication Impact:
    • Citation Metrics: While Shema has numerous publications, focusing on increasing the citation impact of his work could enhance his visibility and influence in the field. More collaborations with high-impact researchers and targeting journals with higher impact factors could be beneficial.
  2. Research Focus:
    • Concentration on Niche Areas: Although his research spans a wide range, concentrating on a few niche areas could strengthen his reputation as a leading expert in those fields. Specializing further could help in gaining recognition and influence.
  3. Collaborative Research:
    • Increasing Collaborative Efforts: While Shema has collaborated with various researchers, engaging in more interdisciplinary and international collaborations could provide new perspectives and enhance the impact of his research.
  4. Broader Dissemination:
    • Outreach and Public Engagement: Expanding the dissemination of his research beyond academic journals, such as through public lectures, media, and community outreach, could raise awareness of his work and its relevance to broader audiences.

EducationĀ 

Dr. Abdulsalam Shema earned his Bachelor of Science in Architecture from Ahmadu Bello University, Zaria, Nigeria (2006-2011). He then pursued a Masterā€™s in Architecture at Cyprus International University, Nicosia (2014-2016), where he deepened his understanding of architectural theory and practice. Dr. Shema completed his PhD in Architecture at the same institution (2016-2020), focusing on the intersection of power discourse and urban form. To further enhance his teaching capabilities, he obtained a Higher Education Teaching Certificate from Near East University, Nicosia (2022). His educational journey reflects a strong foundation in architectural principles, complemented by advanced studies in urban development and pedagogy, equipping him with a robust skill set for both academic and practical applications in architecture.

ExperienceĀ 

Dr. Abdulsalam Shema has extensive experience in both academia and the architectural industry. Currently, he is a Senior Lecturer and Deputy Dean at the International University of East Africa, and a Visiting Assistant Professor at Girne American University and Kirirom Institute of Technology. His past roles include Assistant Professor at Girne American University and Lecturer at Cyprus International University. Dr. Shema has also served as a Graduate Research Assistant and a Secondary School Teacher in Nigeria. In addition to his academic positions, he has practical experience as a Resident Architect at NIQPLUS LIMITED and Director of Project Management at Ibrahim Maiunguwa Shema & Sons Ltd. His diverse background demonstrates his commitment to advancing architectural education and practice through teaching, research, and professional work.

Research FocusĀ 

Dr. Abdulsalam Shemaā€™s research focuses on the intersection of architecture, urban planning, and sustainability. His work explores how vernacular architecture and innovative technologies can contribute to sustainable urban development. He investigates the integration of 3D printing, AI, and IoT in constructing smart, sustainable environments. His studies include urban metamorphosis, the role of architecture in social sustainability, and the impact of architectural design on community well-being. Dr. Shema’s research often examines the historical and cultural contexts of architecture, analyzing how these elements influence modern urban planning. His recent projects delve into vertical farming, ecological architecture, and the design of resilient structures in flood-prone areas. This multidisciplinary approach combines practical solutions with theoretical insights to address contemporary challenges in architecture and urban design.

Publications Top Notes

  • Assessment of African Vernacular Built Environment and Power: The Case of the Walled City of Zaria, Nigeria šŸ“œ
  • The Integration of 3d Printing, Artificial Intelligence and Internet of Things for Construction of Sustainable Smart Hellion šŸ—ļø
  • An Architect in The Slum: Urban Metamorphosis and Slum Upgrading Through the Lens of Social Sustainability, Case of Kiwenpe, Uganda šŸŒ
  • Urban Vertical Farming as a Path to Healthy and Sustainable Urban Built Environment šŸŒæ
  • Rethinking Architecture and Urban Form in the Context of Power Discourse: Case Study Nicosia, North Cyprus šŸ™ļø
  • Energy Efficiency in Residential Buildings Using Nano-Wood Composite Materials šŸŒŸ
  • Examining the Instructor Management Benefits of Student Information System: An Empirical Investigation šŸ“Š
  • The Politics of Memory: Perception and Imageability of Kano City šŸ›ļø
  • A Morphological Practice: Conzenian and Canniggian Approach, Analysis of Zaria City šŸ“
  • A Comparative Analysis of User Satisfaction in Closed and Open Office Buildings šŸ¢
  • A Phenomenological and Hermeneutical Confrontation of Ahmadu Bello University Zaria Senate Building šŸŽ“
  • Changing the Narrative on Street Vending; Governance, Diversification and the Urban Image šŸš§

Conclusion

Dr. AbdulSalam Shema is a highly qualified candidate for the “Best Researcher Award,” given his extensive academic and professional experience, significant research contributions, and leadership roles. His innovative approach and commitment to architecture and urban studies demonstrate his potential for continued impact in the field. Addressing areas for improvement, such as increasing the citation impact of his work and focusing on niche research areas, could further enhance his candidacy. Overall, Shema’s accomplishments and ongoing contributions make him a strong contender for this prestigious award.

Subhrangshu Adhikary | Machine Learning | Young Scientist Award

Posted on by Academic achievements

Mr Subhrangshu Adhikary | Machine Learning | Young Scientist Award

Mr Subhrangshu Adhikary, Spiraldevs Automation Industries Pvt. Ltd. India

Subhrangshu Adhikary is the Director of Spiraldevs Automation Industries Pvt. Ltd. and a PhD scholar at the National Institute of Technology, Durgapur. With a passion for leveraging scientific advancements to solve real-world problems, he aims to make a positive impact on society and the environment. Adhikary has a diverse skill set encompassing big data, AI, and IoT, and he is recognized for his leadership in both academia and industry. His work spans across research, innovation, and technology development, reflecting his commitment to advancing knowledge and practical solutions in computer science and engineering.

Publication Profile

Scopus

Strengths for the Award

  1. Significant Contributions to Research:
    • Subhrangshu Adhikary has made notable contributions in various fields including machine learning, big data, and biomedical signal processing. His research work covers a range of topics such as secure classification frameworks, document classification with vision transformers, and advanced cryptographic algorithms.
    • His papers, such as those published in Biomedical Signal Processing and Control and Machine Learning and Knowledge Extraction, demonstrate his expertise and innovative approach to complex problems.
  2. Innovative Intellectual Properties:
    • Adhikary holds multiple patents and copyrights, which showcase his ability to develop practical and innovative solutions. For instance, his patents related to fault-tolerant storage systems and decentralized sensor networks are indicative of his technical prowess and creativity.
  3. Awards and Recognition:
    • His achievements, including the Best Research Award at SMTST-2020 and several accolades from NPTEL, highlight his recognition within the scientific community. These awards underline his commitment to excellence and his impact on the field of computer science and engineering.
  4. Diverse Skill Set:
    • His broad technical skill set in areas such as big data, AI/ML, and IoT, combined with his experience in full-stack development and various programming languages, reflects a well-rounded expertise essential for cutting-edge research.
  5. Leadership and Experience:
    • As the Director of Spiraldevs Automation Industries Pvt. Ltd. and IT Head of Drevas Vision Pvt. Ltd., Adhikary has demonstrated strong leadership skills and practical experience in managing and executing technology projects. His roles in these positions complement his research activities, providing a solid foundation for innovative and impactful work.

Areas for Improvement

  1. Publication Impact:
    • While Adhikary has numerous publications, increasing the citation impact and visibility of his work in high-impact journals could further enhance his reputation in the research community. Expanding his research into more widely recognized venues could contribute to a greater influence in his field.
  2. Interdisciplinary Collaboration:
    • Further collaboration with researchers from different disciplines could broaden the scope and application of his work. Engaging in interdisciplinary projects may lead to more diverse and impactful research outcomes.
  3. Research Visibility:
    • Increasing engagement with broader research communities through conferences and workshops could raise awareness of his contributions. Presenting at international forums and participating in collaborative research initiatives may help elevate his profile.

Education

Subhrangshu Adhikary is pursuing a Doctorate in Computer Science and Engineering at the National Institute of Technology, Durgapur, since August 2022. He earned his Bachelor of Technology in Computer Science and Engineering from Dr. B.C. Roy Engineering College, achieving a CGPA of 9.20. His academic journey began at Bethany Mission School, where he completed his Class XII with an aggregate of 74% and Class X with a perfect CGPA of 10.0. His educational background underscores his strong foundation and continued pursuit of excellence in technology and research.

Experience

Subhrangshu Adhikary has been the Director of Spiraldevs Automation Industries Pvt. Ltd. since July 2020, driving innovation and technology solutions in West Bengal. He also serves as the IT Head of Drevas Vision Pvt. Ltd., a software outsourcing company, since September 2020. His roles involve overseeing technology development and management, showcasing his leadership and expertise in the tech industry. His experience encompasses both strategic direction and technical execution, highlighting his multifaceted capabilities in technology and business management.

Awards and Honors

Subhrangshu Adhikary has been honored with the Best Research Award at the SMTST-2020 Conference, recognizing his outstanding research contributions. He has also received multiple accolades from NPTEL, including NPTEL Star, NPTEL Believer, and NPTEL Enthusiast. These awards reflect his excellence in the field of computer science and engineering. Additionally, Adhikary has achieved significant recognition through various local, school, and college-level competition wins, and ranked AIR 108 in the PNTSE Olympiad in 2015.

Research Focus

Subhrangshu Adhikaryā€™s research focuses on integrating big data, AI, and IoT to address complex problems. His work includes developing distributed fault-tolerant storage systems, decentralized sensor networks, and advanced cryptographic algorithms. He explores machine learning applications for environmental monitoring and biomedical diagnostics. His research aims to create sustainable and impactful solutions, enhancing both theoretical knowledge and practical applications in technology and data science.

Publication Top Notes

  • “DitDViiPt PrivLet: A differential privacy and inverse wavelet decomposition framework for secure and optimized hemiplegic gait classification” šŸ“
  • “VisFormersā€”Combining Vision and Transformers for Enhanced Complex Document Classification” šŸ“„
  • “Global marine phytoplankton dynamics analysis with machine learning and reanalyzed remote sensing” šŸŒŠ
  • “Secret learning for lung cancer diagnosisā€”a study with homomorphic encryption, texture analysis and deep learning” šŸ©ŗ
  • “Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface” šŸ§ 
  • “DeCrypt: a 3DES inspired optimised cryptographic algorithm” šŸ”
  • “Improved Large-Scale Ocean Wave Dynamics Remote Monitoring Based on Big Data Analytics and Reanalyzed Remote Sensing” šŸŒ
  • “If Human Can Learn from Few Samples, Why Can’t AI? An Attempt On Similar Object Recognition With Few Training Data Using Meta-Learning” šŸ¤–
  • “Evolutionary Swarming Particles To Speedup Neural Network Parametric Weights Updates” āš™ļø
  • “Price Prediction of Digital Currencies using Machine Learning” šŸ’¹

Conclusion

Subhrangshu Adhikary is a highly deserving candidate for the Best Researcher Award due to his significant contributions to research, innovative intellectual properties, and demonstrated leadership in the technology sector. His impressive track record of awards, patents, and publications underscores his expertise and dedication to advancing knowledge in his field. Addressing areas for improvement, such as increasing the impact of his publications and enhancing interdisciplinary collaborations, could further solidify his standing as a leading researcher. Overall, Adhikary’s achievements and potential make him a strong contender for this prestigious award.

Ɓlvaro Torres-Martos | Bioinformatics | Best Researcher Award

Posted on by Academic achievements

Mr . Ɓlvaro Torres-Martos | Bioinformatics | Best Researcher AwardĀ 

PhD student , University of Granada , Spain

Ɓlvaro Torres-Martos is a dedicated Pre-Doctoral Fellow at the Center of Biomedical Research and ā€œJosĆ© Mataix VerdĆŗā€ Institute of Nutrition and Food Technology (INYTA), University of Granada. His research bridges bioinformatics, biostatistics, and precision medicine, focusing on the molecular and genetic underpinnings of metabolic disorders. Ɓlvaro combines his expertise in multi-omics and artificial intelligence to advance our understanding of obesity, insulin resistance, and non-communicable diseases.

Profile

ORCiD

Strengths for the Award

  1. Cutting-Edge Research Experience: Ɓlvaro Torres-Martos has been involved in high-impact research projects such as the ACTIBATE project and EXOMAIR, focusing on novel therapeutic targets and precision medicine. His work on molecular translators and the exposome demonstrates a commitment to advancing the understanding of complex biological systems and diseases.
  2. Academic Background and Progression: With a solid foundation in Biochemistry and Bioinformatics, Ɓlvaro’s transition from a Bachelorā€™s degree to a Masterā€™s and then to a Pre-doctoral Researcher shows a strong academic trajectory. His current role as a faculty member at the University of Granada further highlights his growing expertise in the field.
  3. High-Quality Publications: Ɓlvaro has published in reputable journals like Artificial Intelligence in Medicine and Translational Psychiatry, showcasing his contributions to precision nutrition, machine learning applications, and metabolic health. His work is well-cited and reflects a significant impact on his research area.
  4. Innovative Tools and Recognition: His involvement in developing the ObMetrics Shiny app and winning the III Bioinformatics Datathon indicates his ability to translate research into practical tools. These achievements underscore his innovation and practical application of his research.
  5. Broad Skill Set: Ɓlvaro has completed various courses and certifications, including advanced data science skills and programming in R and Python. This diverse skill set supports his ability to conduct and present high-quality research.

Areas for ImprovementĀ 

  1. Broader Research Impact: While Ɓlvaroā€™s research is highly specialized, expanding the scope to interdisciplinary areas or applied research in clinical settings could enhance the broader impact of his work.
  2. Increased Visibility: Although he has participated in numerous congresses, further efforts to increase the visibility of his research through collaborations, media outreach, or higher-profile conferences could amplify his contributions.
  3. Grant Acquisition: Securing larger research grants or funding from diverse sources could support more ambitious projects and collaborations, further strengthening his research portfolio.

    EducationĀ 

    Ɓlvaro earned his Bachelorā€™s degree in Biochemistry from the University of Granada (UGR) in 2020. He then pursued a Masterā€™s degree in Bioinformatics and Biostatistics at the Open University of Catalonia (UOC) from 2021 to 2022. Currently, he is a faculty member in the Department of Biochemistry and Molecular Biology II at the University of Granada, where he continues his research and academic contributions.

    ExperienceĀ 

    • 2022-2023: Bioinformatic Researcher at the ACTIBATE project, University of Granada. This role focused on molecular translators of exercise and brown adipose tissue activation, searching for new therapeutic targets in intercellular communication.
    • 2023-2026: Pre-doctoral Researcher for EXOMAIR, University of Granada. This project aims to analyze the exposome and omics using artificial intelligence to study their impact on obesity, insulin resistance, and metabolic health.
    • 2024: Academic Visitor at the University of Oxford, focusing on dietary and behavioral phenotypes and non-communicable disease risk through a multi-omics approach.

    Research InterestsĀ 

    Ɓlvaroā€™s research interests include the application of multi-omics and artificial intelligence in precision medicine, with a particular focus on metabolic disorders such as obesity and insulin resistance. He is also interested in the interaction between genetic risk factors and environmental influences on health outcomes.

    AwardsĀ 

    • Winner of the III Bioinformatics Datathon organized by the Bioinformatics Conference, University of Granada.
    • Developed the ObMetrics Shiny app, enhancing metabolic syndrome analysis for pediatric populations.

    PublicationsĀ 

Yurong Zhong | Data Mining and Knowledge Discovery | Best Researcher Award

Posted on by Academic achievements

Mr. Yurong Zhong | Data Mining and Knowledge Discovery | Best Researcher Award

Assistant Research Fellow, Dongguan University of Technology, China

Yurong Zhong is an Assistant Research Fellow at Dongguan University of Technology, China. He earned his Ph.D. in Computer Science from the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences. Currently, his research focuses on big data analysis and artificial intelligence, with a strong emphasis on developing novel methodologies for data prediction and analysis.

Profile

Google Scholar

Strengths for the Award

Research Contributions: Yurong Zhong’s work in developing novel methodologies for predicting missing values in high-dimensional, incomplete datasets demonstrates significant advancements in the field of data mining and knowledge discovery. His innovative approaches to imputation techniques for complex networks are notable contributions that enhance both accuracy and computational efficiency.

High-Impact Publications: His publications in top-tier journals such as IEEE Transactions on Big Data, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Emerging Topics in Computational Intelligence highlight the impact and relevance of his research. The journals he has published in have high impact factors, indicating the high quality and influence of his work.

Research Funding: The completion of projects funded by notable sources such as the Guangdong Basic and Applied Basic Research Foundation and the Natural Science Foundation of China demonstrates recognition and support from prominent research funding bodies.

Citation Index: A citation index of 77 reflects the substantial impact and recognition of his work within the academic community, indicating that his research is widely acknowledged and referenced by other researchers.

Areas for Improvement

Industry Engagement and Patents: Yurong Zhong has not been involved in consultancy or industry projects, nor does he have patents. Engaging in industry collaborations and pursuing patents could further enhance the practical applications and commercialization of his research findings.

Broader Professional Recognition: Although he has made significant contributions, expanding his role in editorial appointments or professional memberships could enhance his visibility and influence in the research community.

Books and Educational Contributions: There is a lack of book publications and educational contributions. Publishing a book or contributing to textbooks in his field could further solidify his reputation as a leading researcher.

Education šŸŽ“

Yurong Zhong completed his Ph.D. in Computer Science at the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing. His doctoral research explored advanced techniques in big data and artificial intelligence. He also holds a solid academic foundation in his field, which supports his ongoing research at Dongguan University of Technology.

Experience šŸ’¼

Yurong Zhong is a postdoctoral fellow at the School of Computer Science and Technology, Dongguan University of Technology. Previously, he completed his Ph.D. at the Chongqing Institute of Green and Intelligent Technology. His professional experience includes significant research contributions in big data and AI, focusing on improving predictive performance and computational scalability.

Research Interests šŸ”

Yurong Zhongā€™s research interests lie in big data analysis and artificial intelligence. He specializes in developing advanced methodologies for predicting missing values in complex datasets, particularly within undirected weighted networks like protein-protein interaction networks. His work aims to enhance data accuracy and computational efficiency.

Awards šŸ†

Yurong Zhong has been nominated for the “Best Researcher Award” for his work on hybrid bio-optimized algorithms and their application in machine learning models. This nomination recognizes his significant contributions to advancing research methodologies and improving predictive performance in complex data systems.

Publications Top Notes šŸ“š

Momentum-incorporated symmetric non-negative latent factor models, IEEE Trans. on Big Data, 8(4): 1096-1106, 2022. IF=7.2.

An alternating-direction-method of multipliers-incorporated approach to symmetric non-negative latent factor analysis, IEEE Trans. on Neural Networks and Learning Systems, 34(8): 4826-4840, 2023. IF=10.4.

Alternating-direction-method of multipliers-based Adaptive nonnegative latent factor analysis, IEEE Trans. on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3420735, 2024.

Conclusion

Yurong Zhong is a strong contender for the Best Researcher Award due to his impactful research in big data analysis and artificial intelligence, his high-quality publications, and his substantial citation index. His contributions have advanced the field of data mining and network analysis significantly. To further strengthen his candidacy, he could consider engaging more with industry projects, pursuing patents, and expanding his professional roles. Overall, his achievements and research contributions make him a deserving candidate for the award.