Balakrishna Kamesh Duvvuri | Iot | Best Research Article Award

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Dr. Balakrishna Kamesh Duvvuri | Iot | Best Research Article Award

Professor, MLR Institute of Technology, India

Dr. Duvvuri B K Kamesh is an accomplished academic and industry expert with over 22 years of combined experience. Currently serving as a Professor and In-Charge Head of the Department at MLR Institute of Technology, Hyderabad, he has held key roles in higher education and industry. His diverse qualifications include a Ph.D. in Computer Science and Engineering, multiple diplomas, and over 100 certificates. Dr. Kamesh has authored over 109 publications, including SCI and IEEE papers, and holds several patents. His work has earned him recognition, including the Lifetime Achievement Academic Excellence Award 2023.

Profile

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Education 🎓

Dr. Kamesh’s extensive educational background highlights a strong focus on computer science and engineering:

  • Ph.D. in Computer Science and Engineering from Shri Venkateshwara University (2014).
  • M. Tech in Computer Science and Engineering from JNTU-Hyderabad with distinction (2011).
  • MCA from IGNOU with first-class honors (2004).
  • Several diplomas, including an Advanced Diploma in Software Technology from CMC, Government of India, and certifications in various programming and tech disciplines.

Experience 🏫💼

Dr. Kamesh’s professional experience spans over two decades:

  • Industry Experience (8+ years): Worked as a Faculty Cum Developer at LG InfoTech and as a Java Developer and SAP-BW Consultant at Gradient Technologies Ltd.
  • Academic Experience (14+ years): Held positions such as Associate Professor at K.L. University, Professor and HOD at St. Martin’s Engineering College, Vice Principal at Siddhartha Institute of Technology and Sciences, and Dean at Malla Reddy Engineering College for Women.
  • Current Position: Professor & I/C HoD at MLR Institute of Technology, Hyderabad.

Research Interests 🔬

Dr. Kamesh’s research focuses on cloud computing, IoT, AI in smart city systems, energy-efficient protocols, cybersecurity, and machine learning applications. He has made significant contributions to enhancing data security, system architecture, and practical IoT applications.

Awards 🏆

Dr. Kamesh has been the recipient of numerous awards, showcasing his dedication and achievements:

  • Outstanding Scientist Award 2021 on Engineering Science and Medicine.
  • National Lifetime Achievement Award 2021 from I2OR.
  • Academic Excellence Award 2023 from INSC.
  • Excellence Award 2023 presented at Prasad Labs under Dada Saheb Phalke’s anniversary.
  • Ugadi Seva Puraskar 2024 in Hyderabad.

Publications Top Notes đź“ť

Dr. Kamesh has published extensively in reputed journals. Some notable works include:

“Vision-based security system” – Journal of Applied Engineering and Sciences, Medwell Journals, cited by multiple researchers.

“Embedded Technology for Vehicle Cabin Safety Monitoring and Alerting System” – Journal of Advanced Research in Dynamical & Control Systems.

“Architectural Models for Fault Tolerance within Clouds at Infrastructure Level” – ARPN Journal of Engineering and Applied Sciences.

“An Efficient Architectural Model for Building Cognitive Expert Systems related to Traffic Management in Smart Cities” – Journal of Engineering and Applied Sciences (Medwell Journals).

“A Systematic Review on Integrity and Security in Adoption of Cloud Computing Technologies” – International Journal of Engineering & Technology.

Edris Khezri | IOT | Best Researcher Award

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Dr. Edris Khezri | IOT | Best Researcher Award

Assistant professor, Boukan Islamic Azad University, Iran

Dr. Francesco Napolitano, a distinguished researcher at the Institute for Polymers, Composites and Biomaterials – National Research Council in Italy, has garnered acclaim for his groundbreaking work in characterizing thermoplastic composites. His innovative methodologies have advanced understanding in this field, offering insights crucial for applications spanning from automotive to aerospace industries. Dr. Napolitano’s commitment to excellence has earned him the esteemed Best Researcher Award, reflecting his exceptional contributions to materials science. 🏆 His expertise continues to inspire fellow researchers and shape the future of thermoplastic composite technology.

Profile

Scopus

Education 🎓

Nilda del Carmen Gallardo Alpízar pursued her academic journey with dedication and excellence. She holds a Ph.D. in a specialized field, focusing on the intersection of polymers, composites, and biomaterials. Her academic background equipped her with the knowledge and skills necessary to excel in her research endeavors. 🧪

Work Experience đź’Ľ

Dr. Gallardo Alpízar has gained extensive experience in research and academia, particularly in the field of polymer science and engineering. Her roles as a research fellow at the National Research Council (CNR) have allowed her to contribute to groundbreaking projects focused on recycling plastic wastes and additive manufacturing techniques. Additionally, her entrepreneurial spirit led her to co-found a startup, Wolffia Srl, where she applies her expertise to drive innovation in the industry. 🔬

Research Interests 🔬

Dr. Gallardo AlpĂ­zar’s research interests lie at the intersection of polymer science, materials engineering, and additive manufacturing. She is particularly interested in exploring innovative solutions for recycling plastic wastes, developing lightweight joints using additive manufacturing techniques, and investigating the properties of biocomposites. Her work aims to address pressing challenges in sustainability and materials science. 🌱

Awards and Prizes 🏆

Dr. Gallardo AlpĂ­zar has been recognized for her entrepreneurial endeavors and innovative contributions to the field. Her startup, Wolffia Srl, has received prestigious awards such as the “Premio Innovazione 4.0” and achieved notable success in startup competitions. These accolades reflect her dedication to driving positive change through entrepreneurship and innovation. 🌟

Publications Top Notes

  1. Edge intelligence-assisted animation design with large models: a survey
    • Authors: Zhu, J., Hu, C., Khezri, E., Ghazali, M.M.M.
    • Journal: Journal of Cloud Computing, 2024
    • Volume: 13(1)
    • Page: 87
  2. DLJSF: Data-Locality Aware Job Scheduling IoT tasks in fog-cloud computing environments
    • Author: Khezri, E.
    • Journal: Results in Engineering, 2024
    • Volume: 21
    • Page: 101780
    • Citations: 3
  3. An efficient approach for multi-label classification based on Advanced Kernel-Based Learning System
    • Authors: Saidabad, M.Y., Hassanzadeh, H., Seyed Ebrahimi, S.H., Rahimi, M.R., Trik, M.
    • Journal: Intelligent Systems with Applications, 2024
    • Volume: 21
    • Page: 200332
  4. Recognizing sports activities from video frames using deformable convolution and adaptive multiscale features
    • Authors: Xiao, L., Cao, Y., Gai, Y., Liu, J., Yang, M.
    • Journal: Journal of Cloud Computing, 2023
    • Volume: 12(1)
    • Page: 167
  5. SGHRP: Secure Greedy Highway Routing Protocol with authentication and increased privacy in vehicular ad hoc networks
    • Authors: Khezri, E., Zeinali, E., Sargolzaey, H.
    • Journal: PLoS ONE, 2023
    • Volume: 18(4 April)
    • Page: e0282031
    • Citations: 5