Dr. Ishtiaq Khan | Fault Diagnosis Award | Best Researcher Award

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Dr. Ishtiaq Khan | Fault Diagnosis Award | Best Researcher Award

Dr. Ishtiaq Khan, University of Genova, Italy

Ishtiaq Ahmad Khan is a dedicated PhD researcher at the University of Genoa in Italy, affiliated with the DITEN Department since November 2022. He has extensive experience in academia, having served as a lecturer at UET Peshawar Campus-III since December 2019, and previously held positions as an assistant professor and lecturer at the Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS) and the Baluchistan University of Engineering & Technology Khuzdar (BUETK). Ishtiaq began his career as a lab engineer at the Gandhara Institute of Science & Technology in Peshawar. He earned his Master of Science in Electrical Engineering from BUITEMS, where he graduated with a CGPA of 3.87, focusing his thesis on “Automatic Node-switching in Power Utility Company Network for Blackout Avoidance.” A skilled communicator fluent in English, Urdu, and Pashto, he possesses strong teaching and practical expertise in Electrical Power Engineering. His technical skills include proficiency in Microsoft Office, Electrical Transient and Analysis Program (ETAP), and various engineering software tools. Ishtiaq’s commitment to education is reflected in his active participation as a resource person for training programs in areas such as uninterruptible power supply configuration and transformer reassembly.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Ishtiaq Ahmad Khan

Personal Information
Ishtiaq Ahmad Khan is a dedicated researcher and educator currently pursuing his PhD at the University of Genoa in Italy, while simultaneously serving as a lecturer at UET Peshawar Campus-III in Pakistan. His extensive background in Electrical Engineering, coupled with significant teaching and research experience, positions him as a strong candidate for the Best Researcher Award.

Education

  • PhD Researcher
    University of Genoa, DITEN Department, Genova (GE), Italy
    Duration: 01/11/2022–Present
  • Master of Science in Electrical Engineering
    Baluchistan University of Information Technology Engineering and Management Sciences, Quetta (Pakistan)
    CGPA: 3.87/4
    Graduation Thesis Title: Automatic Node-switching in Power Utility Company Network for Blackout Avoidance
    Duration: 04/04/2015–14/12/2017
  • Bachelor of Science in Electrical Engineering
    University of Engineering & Technology Peshawar, Peshawar (Pakistan)
    CGPA: 2.6/4
    Duration: 04/10/2004–30/04/2009
  • Professional Development Training Program
    Baluchistan University of Information Technology, Engineering & Management Sciences, Pakistan, Quetta (Pakistan)
    Duration: 15/01/2015–10/02/2015
  • Training Sessions:
    • Assembling & Configuration of Uninterruptible Power Supply (UPS) (22/12/2017)
    • Re-assembling & Configuration of Transformers (30/03/2016–01/04/2016)
    • Repair of AC Motors, Pressure Pumps and Home Appliances (03/12/2015)

Work Experience

  • PhD Researcher
    University of Genoa, DITEN Department, Genova (GE), Italy
    Duration: 01/11/2022–Present
  • Lecturer
    UET Peshawar Campus-III, Bannu, Bannu (Pakistan)
    Duration: 24/12/2019–Present
  • Assistant Professor
    Baluchistan University of Information Technology Engineering and Management Sciences (BUITEMS), Quetta (Pakistan)
    Duration: 14/02/2018–23/12/2019
  • Lecturer
    Baluchistan University of Information Technology Engineering and Management Sciences (BUITEMS), Quetta (Pakistan)
    Duration: 09/01/2015–13/02/2018
  • Lecturer
    Baluchistan University of Engineering & Technology Khuzdar (BUETK), Khuzdar (Pakistan)
    Duration: 16/06/2011–08/01/2015
  • Lab Engineer
    Gandhara Institute of Science & Technology (GIST) Peshawar, Peshawar (Pakistan)
    Duration: 19/10/2009–15/06/2011

Publication top Notes:

Partial Discharge Inception Voltage Monitoring of Enameled Wires under Thermal Stress over Time

 

 

 

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:

CITED: 12
CITED: 4
CITED: 3
CITED: 3
CITED: 3

 

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