Moshe Brand | Hemodinamics| Best Researcher Award

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Dr. Moshe Brand | Hemodinamics| Best Researcher Award

Ariel University,Israel

Dr. Moshe Brand is a distinguished researcher and academic affiliated with Ariel University in Israel. His expertise spans various domains, including computational sciences, algorithms, and applied mathematics. With numerous peer-reviewed publications to his name, Dr. Brand has made significant contributions to advancing knowledge in his field. He is dedicated to fostering innovation and excellence in research and education, mentoring students, and collaborating on impactful projects.

Summary:

Dr. Moshe Brand’s research expertise in biomechanics and hemodynamics, combined with his academic leadership and impressive track record of research grants, awards, and accolades, makes him a strong candidate for the Best Researcher Award. His work not only advances scientific understanding but also has practical applications in health technology and medical devices, showcasing his impact on both academia and society.

 

Professional Profiles:

 Scopus

🎓 Education :

Moshe Brand holds a robust educational foundation in systems engineering, earning his degrees from Tel Aviv University. He completed his B.Sc. in Systems (1989–1993), followed by an M.Sc. in Systems (1993–1997), and later pursued a Ph.D. in Systems (1999–2005). His doctoral research focused on Mechanical Interaction between Stent and Artery, supervised by Prof. Shmuel Einav and Prof. Shmuel Ryvkin, and Natural Integration of a Human-Arm/Powered Exoskeleton System, guided by Prof. M. Arcan and Prof. Moshe B. Fuchs.

 

🏢 Experience:

Dr. Brand boasts an extensive academic and professional career:,Academic Roles:,He currently serves as a Senior Lecturer and Head of the Brand Lab in Biomechanics & Hemodynamics at Ariel University. Since 2015, he has been leading the Ariel Biomechanics Center (ABmC) and the Mechanical Engineering Program, where he also held positions as Deputy Head of the Department of Mechanical Engineering and Chairman of the Teaching Committee.,His academic tenure includes roles at Afeka Tel Aviv Academic College of Engineering, starting as a Lecturer (2000–2014) and progressing to Senior Lecturer,Professional Administration:,Dr. Brand has held key positions, including appointments and reception committees, chairing project committees, and managing exemptions and academic admissions processes,Industry Roles:,He co-founded SoulMedX, where he serves as CTO, and has been actively involved with the Israeli Society for Medical and Biological Engineering (ISMBE) as Vice Presiden

🛠️Skills:

Dr. Brand’s expertise spans biomechanics, hemodynamics, and solid mechanics, with a focus on applying engineering principles to medical technologies. His technical skills include system design, mechanical modeling, and biomedical innovation. He also has a strong background in academic leadership, program development, and cross-disciplinary collaboration.

 

Research Focus :

Dr. Brand’s research emphasizes the intersection of mechanics and medical applications. His studies include:,Biomechanics of Medical Devices: Investigating mechanical interactions between stents and arteries.,Exoskeleton Systems: Developing EMG-controlled systems to enhance natural limb integration.,Hemodynamics: Focusing on vascular modeling and dialysis-related complications.,His work is driven by a commitment to enhancing medical device efficiency and improving patient outcomes through engineering innovations.

 

🔬Awards:

Dr. Brand’s achievements include numerous awards and recognitions:,Outstanding Project Awards (2015, 2017) from Afeka Tel Aviv Academic College of Engineering.,Second Prize from MILBAT for developing products catering to elderly and special needs populations (2014).,Research fellowships, including a grant from 2ARC for Predicting AVF Stenosis Formation (2016) and support for his Ph.D. from the Nicholas and Elisabeth Slezak Super Center (2005).

 

Conclusion:

Dr. Moshe Brand demonstrates exceptional research capability, leadership, and societal contribution. His well-rounded career in academia, combined with his focus on impactful, real-world applications, solidly positions him as a leading candidate for the Best Researcher Award. With slight improvements in broadening his collaborations and increasing research visibility, he would further cement his role as a leader in his field.

 

 Publications:

  • Citation: Brand, M.; Yoel, B.; Eichler, E.; Halak, M.; Marom, G. (2023).
    Year: 2023
    Title: The effect of stent graft curvature on the hemodynamic displacement force after abdominal aortic aneurysm endovascular repair.
    Publication: Royal Society Open Science, 10(7), Article 230563.

 

  • Citation: Springer, S.; Kelman, D.; Brand, M.; Gottlieb, U. (2017).
    Year: 2017
    Title: Knee position sense: Does the time interval at the target angle affect position accuracy?
    Publication: Journal of Physical Therapy Science, 29(10), pp. 1760–1765.

 

  • Citation: Leybovitch, E.; Golan, S.; Brand, M. (2016).
    Year: 2016
    Title: Mechanical interaction between overlapping stents and peripheral arteries – Numerical model.
    Publication: Proceedings – EMS 2015: UKSim-AMSS 9th IEEE European Modelling Symposium on Computer Modelling and Simulation, pp. 76–79. DOI: 7579809.

 

  • Citation: Ben Gur, H.; Kosa, G.; Brand, M. (2015).
    Year: 2015
    Title: Numerical analysis of the hemodynamics of an abdominal aortic aneurysm repaired using the endovascular chimney technique.
    Publication: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 977–980. DOI: 7318527.

 

  • Citation: Brand, M.; Avrahami, I.; Einav, S.; Ryvkin, M. (2014).
    Year: 2014
    Title: Numerical models of net-structure stents inserted into arteries.
    Publication: Computers in Biology and Medicine, 52, pp. 102–110.

 

  • Citation: Nardi, A.; Avrahami, I.; Halak, M.; Silverberg, D.; Brand, M. (2014).
    Year: 2014
    Title: Hemodynamical aspects of endovascular repair for aortic arch aneurisms.
    Publication: ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2014, Article 1.

 

  • Citation: Meirson, T.; Orion, E.; Bolotin, G.; Brand, M.; Avrahami, I. (2014).
    Year: 2014
    Title: Numerical analysis of a novel external support device for vein bypass grafts.
    Publication: IFMBE Proceedings, 41, pp. 29–32.

 

  • Citation: Nardi, A.; Brand, M.; Halak, M.; Silverberg, D.; Avrahami, I. (2014).
    Year: 2014
    Title: Hemodynamical aspects of endovascular repair for aortic arch aneurisms.
    Publication: IFMBE Proceedings, 41, pp. 33–36.

 

  • Citation: Brand, M.; Avrahami, I.; Nardi, A.; Silverberg, D.; Halak, M. (2013).
    Year: 2013
    Title: Clinical, hemodynamical and mechanical aspects of aortic aneurisms and endovascular repair.
    Publication: Aortic Aneurysms: Risk Factors, Diagnosis, Surgery and Repair, pp. 181–192.

 

  • Citation: Avrahami, I.; Dilmoney, B.; Hirshorn, O.; Nir, R.-R.; Bolotin, G. (2013).
    Year: 2013
    Title: Numerical investigation of a novel aortic cannula aimed at reducing cerebral embolism during cardiovascular bypass surgery.
    Publication: Journal of Biomechanics, 46(2), pp. 354–361.

 

Prabhavathy M | Disease Diagnosis |Best Researcher Award

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Dr. Prabhavathy M | Disease Diagnosis |Best Researcher Award

 Dr.Prabhavathy M,Coimbatore Institute of technology,India

Dr. Prabhavathy M. is a distinguished academic and researcher at the Coimbatore Institute of Technology, India. With extensive expertise in engineering and technology, she is known for her contributions to advanced research and innovation in her field. Dr. Prabhavathy has published numerous papers in renowned journals and actively participates in national and international conferences, where her insights have enriched the academic community. Through her teaching and mentorship, she continues to inspire the next generation of engineers and researchers.

Summary:

Assist. Prof. Dr. Manatee Jitanan is a strong candidate for the Research for Best Researcher Award due to his extensive research in global health, public health education, and the innovative use of technology to promote well-being. His multidisciplinary background, long-standing academic career, and research on contemporary health issues are his key strengths. However, focusing more on specialized topics, enhancing international collaborations, and increasing high-impact journal publications could further bolster his candidacy for global recognition.

Professional Profiles:

Scopus

🎓 Education :

Ph.D. in Instrumentation and Control Engineering (ICE), Anna University (2022)
Awarded with “Highly Commended” honors, the Ph.D. in ICE emphasized innovative control strategies in real-world applications, advancing precision and reliability within engineering systems.,Master of Engineering in Computer Science and Engineering, Anna University, Kumaraguru College of Technology, Coimbatore (2011),Graduated with a CGPA of 8.87, attaining “First Class with Distinction.” Specialized in advanced computer science domains, focusing on algorithm optimization and data management technologies.,Bachelor of Engineering in Computer Science and Engineering, Anna University, Government College of Engineering, Salem (2009),Achieved 79%, securing “First Class with Distinction.” The program emphasized foundational and advanced topics in computer science, developing robust software engineering skills and an analytical mindset.

🏢 Experience:

Associate Professor, Coimbatore Institute of Technology (February 2024 – Present)
As an Associate Professor, responsibilities include curriculum development, leading research projects, and mentoring graduate students. A significant focus has been on integrating real-world applications with academic concepts to enhance student engagement.,Assistant Professor, Coimbatore Institute of Technology (May 2014 – January 2024)
With a decade of service, contributed to curriculum design, research advancements, and student mentorship. Developed instructional strategies that bridge theoretical knowledge with practical, industry-aligned applications.,Assistant Professor, Dhirajlal Gandhi College of Technology, Salem (June 2013 – May 2014),Focused on implementing advanced teaching methods to promote student understanding in key areas of computer science. Collaborated on departmental research initiatives and student assessment innovations

🛠️Skills:

Technical Skills,Proficient in Machine Learning, Artificial Intelligence, Deep Neural Networks, Service-Oriented Architecture, and Data Analytics. Extensive knowledge in the development and application of intelligent systems and data-driven solutions.Instructional Skills
Specialized in Curriculum Design, Technological Instruction, Authentic Assessment Development, and Student Counseling and Motivation. Recognized for an ability to tailor instruction to meet diverse learning needs.Interpersonal Skills
Exhibits strong Interpersonal Communication, Organizational Skills, Time Management, and Problem-Solving abilities. Known for building a collaborative environment that fosters learning and innovation.

Research Focus :

With over 14 years of combined academic and industry experience, research has centered on the practical applications of machine learning and explainable AI. Key projects include:,IoT-Based Health Monitoring in ICUs,Developed a patent-published system for real-time patient monitoring in ICU settings, providing critical insights into patient care and alerting mechanisms for healthcare providers.Automatic Video Summarization Using LSTM Architectures,Conducted pioneering research in video content processing using recurrent neural networks, enhancing the efficiency and effectiveness of media management and data analysis.

🔬Awards:

Outstanding Academic Performance,Graduated with “First Class with Distinction” in both Master’s and Bachelor’s degrees in Computer Science and Engineering, demonstrating a consistent record of academic excellence.,Highly Commended Ph.D. Thesis
Recognized by Anna University for a “Highly Commended” Ph.D. thesis, underscoring the innovative nature and impact of research in Instrumentation and Control Engineering.Published Patents in IoT and AI,Holder of several patents for innovations in IoT, neural network architectures, and AI-driven educational tools, highlighting contributions to technological advancements in education and health monitoring.

Conclusion:

Dr. Jitanan is well-suited for the Research for Best Researcher Award, given his significant contributions to public health and health education, especially in response to current global challenges like COVID-19 and firearm violence. His research has practical applications, particularly in improving the well-being of students and vulnerable populations, which aligns with the criteria of impactful, innovative, and community-driven research. With some areas for growth, particularly in international collaboration and high-impact journal outreach, Dr. Jitanan has the potential to make an even greater mark in his field.

Publications :

  • Title: Machine Learning-Based Prediction of Cyclic Voltammetry Behavior of Substitution of Zinc and Cobalt in BiFeO3/Bi25FeO40 for Supercapacitor Applications
    Authors: Ravichandran, A., Raman, V., Selvaraj, Y., Mohanraj, P., Kuzhandaivel, H.
    Source: ACS Omega
    Year: 2024
    Citations: 0

 

  • Title: Evolutionary Discriminative Deep Belief Network Based Diabetic Retinopathy Classification
    Authors: Saranya Rubini, S., Sathya, K., Saveeth, R., Prabhavathy, M.
    Source: Lecture Notes in Networks and Systems
    Year: 2024
    Citations: 0

 

  • Title: Stroke Prediction Using ML and IoT Based Wearable Device
    Authors: Kanagaraj, G., Primya, T., Prabhavathy, M., Saranya, P., Senthilkumar, V.
    Source: AIP Conference Proceedings
    Year: 2023
    Citations: 0

 

  • Title: Meat Dish Image Recognizer: Automatic Categorization of Various Meat Dish Images in Malaysia using Deep Learning Techniques
    Authors: Sumari, P., Raman, V., Prabhavathy, M., Sheng, K.W., Han, S.W.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: Detection of Covid 19/Pneumonia by using Machine Learning Techniques
    Authors: Thilagavathi, G., Lavanya, G., Prabhavathy, M., Saranya, R.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: API Calls Based Malware Detection using Behavior Graphs
    Authors: Prabhavathy, M., Raman, V., Thilagavathi, G.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: An Enhanced Deep Learning Technique for Crack Identification in Composite Materials
    Authors: Ramanathan, S., Sankareswaran, U.M., Mohanraj, P.
    Source: Lecture Notes in Networks and Systems
    Year: 2023
    Citations: 0

 

  • Title: A Novel Approach for Detecting Online Malware Detection LSTM-RNN and GRU Based Recurrent Neural Network in Cloud Environment
    Authors: Prabhavathy, M., Uma Maheswari, S., Saveeth, R., Saranya Rubini, S., Surendiran, B.
    Source: Lecture Notes in Networks and Systems
    Year: 2022
    Citations: 3

 

  • Title: Prevention of runtime malware injection attack in cloud using unsupervised learning
    Authors: Prabhavathy, M., Umamaheswari, S.
    Source: Intelligent Automation and Soft Computing
    Year: 2022
    Citations: 6

 

  • Title: Permission and API calls based hybrid machine learning approach for detecting malicious software in android system
    Authors: Prabhavathy, M., Maheswari, S.U., Saveeth, R., Rubini, S.S.
    Source: Journal of Multiple-Valued Logic and Soft Computing
    Year: 2021
    Citations: 2