Mrs. Muvvala Kalpana | Automation Award | Best Researcher Award

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Mrs. Muvvala Kalpana | Automation Award | Best Researcher Award

Mrs. Muvvala Kalpana, Vignan’s Institute of Information Technology, India

Mrs. Muvvala Kalpana is currently pursuing a Ph.D. in Antennas at Jawaharlal Nehru Technological University, Kakinada (JNTUK), Andhra Pradesh. With a solid foundation in Electronics and Communications Engineering, he holds an M.Tech in Digital Systems and Computer Electronics from Narasaraopet Engineering College and a B.Tech in Electronics and Communications Engineering from L.B.R. College of Engineering. With 16 years of teaching experience, he has served as an Assistant Professor at Vignan’s Institute of Information Technology, Visakhapatnam, and previously held positions at Raghu Institute of Technology, Sri Sarathi Institute of Engineering and Technology, Kakinada Institute of Engineering and Technology, and Lenora College of Engineering. His teaching expertise spans a range of subjects including Control Systems, Digital Communications, and Artificial Intelligence. His research interests focus on communications, antennas, control systems, and digital circuits. He is known for his strong work commitment, eagerness to learn, adaptability, and positive attitude.

Professional Profile:

Summary of Suitability for Best Researcher Award

Kalpana stands as a highly qualified candidate for the Best Researcher Award based on her comprehensive academic background, vast teaching experience, and numerous research contributions, particularly in the field of antenna design and wireless communication.

Education:

  • Pursuing Ph.D. in Antennas at JNTUK, Kakinada, Andhra Pradesh.
  • M.Tech in Digital Systems and Computer Electronics (D.S.C.E) from Narasaraopet Engineering College, affiliated with J.N.T.U, Kakinada, Andhra Pradesh, with an aggregate of 74% (2008).
  • B.Tech in Electronics and Communication Engineering (E.C.E) from L.B.R. College of Engineering, affiliated with J.N.T.U, Hyderabad, Andhra Pradesh, with an aggregate of 56% (2004).

Work Experience:

  • Assistant Professor at Vignan’s Institute of Information Technology, Visakhapatnam (2022 – Present).
  • Associate Professor at Raghu Institute of Technology, Visakhapatnam (2013 – 2018).
  • Assistant Professor at Sri Sarathi Institute of Engineering and Technology, Nuzvid (2007 – 2013).
  • Assistant Professor at Kakinada Institute of Engineering and Technology, Kakinada (2005 – 2006).
  • Assistant Professor at Lenora College of Engineering, Rampachodavaram (2004 – 2005).

Publication top Notes:

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Assoc Prof Dr. Abdullah Salamai | Towards automated | Best Researcher Award

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Assoc Prof Dr. Abdullah Salamai | Towards automated | Best Researcher Award

Assoc Prof Dr. Abdullah Salamai, Jazan University, Saudi Arabia

Dr. Abdullah Ali Salamai is an accomplished academic and researcher currently serving as an Associate Professor at Jazan University in Saudi Arabia. With a robust educational background, he obtained his PhD in Risk Management with honors from the University of New South Wales, Australia, following an MBA from Texas A&M University Commerce, USA, and a Bachelor’s degree in Industrial Management from Yanbu Industrial College, Saudi Arabia.Dr. Salamai’s research interests and expertise lie in the fields of risk management, particularly in supply chains, where he has developed an “Intelligent Decision Support System for Risk Management in Supply Chains.” This work has been recognized internationally, including prestigious accolades such as the Certificate of Excellence for Research Production and publication in high-impact journals like Expert Systems With Applications.Throughout his career, Dr. Salamai has held various leadership roles within academia, including Vice Dean for Research and Development and departmental committee memberships. He has contributed significantly to the academic community as a reviewer for esteemed journals such as IEEE Access, Computers, Materials & Continua, and Scientific Reports, among others.

Professional Profile

🏢 Professional Roles:

  • Associate Professor (2024) in the Management Department.
  • Chairman of the Scientific Research Committee (2024).
  • Member of various university committees including Programs and Plans, and Scientific Committees.
  • Vice Dean for Research and Development (2016-2014).
  • Lecturer and Teaching Assistant in the Department of Administrative Sciences.

📚 Education:

  • PhD in Risk Management, University of New South Wales, Australia.
  • Master of Business Administration (MBA), Texas A&M University Commerce, USA.
  • Bachelor Degree in Industrial Management with Honors, Yanbu Industrial College, Saudi Arabia.

📜 Achievements and Awards:

  • Received Certificate of Excellence for Research Production multiple times.
  • Published in journals like Expert Systems With Applications (Q1, Impact Factor 8.65).
  • Recognized for academic excellence and research quality by the Saudi Cultural Mission in Australia.
  • Received awards for contributions to Jazan Community College accreditation.

🔍 Research and Professional Activities:

  • Reviewer for prestigious journals including IEEE Access, Computers, Materials & Continua, and Journal of Big Data.
  • Involved in research funding projects such as Trustworthy Artificial Intelligence for Sustainable Agriculture Development in Saudi Arabia.

👨‍💼 Work Experience:

  • Previous roles at Saudi Arabian Monetary Agency (SAMA) and Saudi Binladin Operation and Maintenance Company.

🌍 Dr. Salamai’s work spans academia, research, and administration, contributing significantly to the fields of risk management, decision support systems, and sustainable agriculture development.

This biography highlights Dr. Salamai’s extensive academic journey, research contributions, and his commitment to enhancing educational standards and research quality in his field.

 

Publications Notes:📄

Towards automated, efficient, and interpretable diagnosis coffee leaf disease: A dual-path visual transformer network

Evaluation Challenges of Leadership Management in the Energy Sector using Multi-Criteria Decision Making Approach

An approach based on decision-making algorithms for qos-aware iot services composition

Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets

Enhancing mango disease diagnosis through eco-informatics: A deep learning approach