Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

Associate Professor at Electrical Engineering , Princess Nourah bint Abdulrahman University , Saudi Arabia

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

  1. Ph.D. in Electrical Engineering (2011) – Department of Electrical Engineering, Jamia Millia Islamia (A Central University) in New Delhi, India. Her thesis was titled “Design & Development of Computer-based Biophysical Model for Diagnosing Pulmonary Edema.”
  2. Master of Technology in Electrical Engineering with specialization in Instrumentation & Control (2003) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India. Her dissertation focused on the “Design of Sub-optimal Controller for Linear Time Invariant System incorporating Sensitivity Considerations.”
  3. Bachelor of Engineering in Electrical Engineering (1998) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India.

Shabana Urooj ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 2123, Since 2018: 1488
  • Citations: 2123 (All), 1488 (Since 2018)
  • h-index: 24 (All), 20 (Since 2018)
  • i10-index: 64 (All), 44 (Since 2018)

These metrics showcase the impact of Urooj ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Research Area(s) & Interests:

Computer-Based Diagnosis of Chronic Diseases and Bio-Medical Instrumentation: Dr. Urooj’s expertise includes the development of computer-based models for diagnosing chronic diseases, particularly in the field of bio-medical instrumentation. Her work likely involves the use of computational tools and techniques to analyze medical data and aid in the diagnosis and monitoring of chronic conditions. Optimization & Control, WSN, BAN: Dr. Urooj’s research interests extend to optimization and control systems, as well as Wireless Sensor Networks (WSN) and Body Area Networks (BAN). This expertise suggests involvement in designing and implementing control algorithms, optimizing system performance, and working with wireless communication technologies in healthcare applications. Material Research, Nanomaterials for Engineering Applications: Dr. Urooj is also engaged in material research, particularly in the area of nanomaterials for engineering applications. Her work likely involves the synthesis, characterization, and application of nanomaterials in various engineering fields, such as electronics, materials science, or biomedical engineering.

Teaching Experience:

Associate Professor at College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia (since 15th September 2019): In her current role, Dr. Urooj serves as an Associate Professor, likely contributing to the academic and research activities of the College of Engineering at Princess Nourah bint Abdulrahman University. Assistant and Associate Professor at the Department of Electrical Engineering, Gautam Buddha University, Gr. Noida, UP, India (6th July 2011 to 13th Sep 2019): Dr. Urooj previously worked as both an Assistant and Associate Professor at Gautam Buddha University. She also served as the Head of the Department of Electrical Engineering from 1st August 2018 to September 2019, demonstrating leadership and administrative skills in addition to her teaching and research responsibilities. Associate Professor at the Department of Electronics & Instrumentation Engineering, Galgotias College of Engineering and Technology, Gr. Noida, UP, India (31st July 2009 to 5th July 2011): Prior to her tenure at Gautam Buddha University, Dr. Urooj worked as an Associate Professor at Galgotias College of Engineering and Technology, where she likely contributed to the academic and research activities of the Department of Electronics & Instrumentation Engineering.

MEMBESRSHIP COUNCILS/COMMITTEES:

• Director: College of Engineering Club- 2022-23, 2023-24
• Member of M. Sc Program in collaboration with Essex University UK.
• Member of B. S IoT in collaboration with College of Computer Science.
• General Co-Chair CCAML2024 Committee
• Track Chair (Special Session) IEEE APSCON 2024

Publications:

Fuzzy clustering algorithm for enhancing reliability and network lifetime of wireless sensor networks

  • Published in Energy in 2020 with 1150citations.

Entropy index in quantitative EEG measurement for diagnosis accuracy

  • Published in Energy in 2013 with 83 citations.

A robust polynomial filtering framework for mammographic image enhancement from biomedical sensors

  • Published in Energy in 2013 with 62 citations.

A composite wavelets and morphology approach for ECG noise filtering

  • Published in Energy in 2013 with 56 citations.

Strategies, current status, problems of energy and perspectives of Yemen’s renewable energy solutions

  • Published in Energy in 2018 with 53 citations.

An improved CAD system for breast cancer diagnosis based on generalized pseudo-Zernike moment and Ada-DEWNN classifier

  • Published in Energy in 2016 with 52 citations.

Non-linear polynomial filters for edge enhancement of mammogram lesions

  • Published in Energy in 2016 with 49 citations.

Human visual system based unsharp masking for enhancement of mammographic images

  • Published in Energy in 2017 with 48 citations.

 

Dr. Longinus Ezema | Telecommunication Engineering | Best Researcher Award

Dr. Longinus Ezema : Leading Researcher in Telecommunication Engineering

Senior Lecturer at Telecommunication Engineering, Federal University of Technology, Owerri, Imo State, Nigeria

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

  • Ph.D. in Electronic Engineering (Communication Engineering Option)
    • Institution: University of Nigeria Nsukka (UNN), Enugu State, Nigeria
    • Duration: 2013 – 2018
  • M.Sc. in Electrical Engineering (Telecommunication System)
    • Institution: Blekinge Institute of Technology (BTH), Blekinge, Sweden
    • Duration: 2006 – 2007
  • B.Eng. in Electrical/Electronic Engineering (Communication Engineering Option)
    • Institution: Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
    • Duration: 1999 – 2004
  • Education History
    • Secondary Education: Obukpa Community Secondary School, Nsukka, Enugu State, Nigeria (1992 – 1997)
      • Awarded WAEC Senior School Certificate
    • Primary Education: Alagba Primary School, Ede-Oballa, Nsukka, Enugu State, Nigeria (1986 – 1991)
      • Awarded FSLC Primary School Certificate

Longinus Ezema ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 1338, Since 2018: 1325
  • Citations: 1338 (All), 1325 (Since 2018)
  • h-index: 21 (All), 20 (Since 2018)
  • i10-index: 39 (All), 39 (Since 2018)

These metrics showcase the impact of Ezema ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Professional Experience:

  • Teaching Responsibilities:
    • Lecturing on communication engineering and engineering mathematics for both undergraduate and postgraduate students.
  • Research Involvement:
    • Actively engaged in advanced research within the field of electrical and electronic engineering.
  • Student Supervision:
    • Supervision of undergraduate and postgraduate student projects, theses, and seminars.
  • Mentoring and Advising:
    • Advising and mentoring students of the EEE department at FUTO during the 2016/2017 academic year.
  • Administrative Duties:
    • Supervision of examinations and computation of results.

Area of Research:

Longinus Ezema’s research interests are in mobile communication, with a specific focus on location estimation and artificial intelligence. His current research is dedicated to developing a model or algorithm for accurately estimating mobile locations within cellular networks. The goal is to achieve a high degree of accuracy that meets the FCC-USA phase II accuracy requirement for emergency positioning.

Memberships:

  • Member, Nigerian Society of Engineers (NSE)
  • Member, National Society of Black Engineers (NSBE)
  • Member, Institute of Electrical and Electronic Engineers (IEEE)
  • Registered Engineer, Council for Regulation of Engineering in Nigeria (COREN)

Activities:

Longinus Ezema is actively involved in leadership mentoring and character formation of the ever-growing youth population in his immediate environment.

Publication:

Design of automatic change over switch with generator control mechanism

  • Published in Energy in 2012 with 55 citations.

FINGERPRINT BASED ATTENDANCE MANAGEMENT SYSTEM

  • Published in Energy  with 30 citations.

A comprehensive review on the feasibility and challenges of millimeter wave in emerging 5G mobile communication

  • Published in Energy in 2019 with 23 citations.

Artificial Neural Network Approach to Mobile Location Estimation in GSM Network

  • Published in Energy in 2017 with 17 citations.

Multi linear regression model for mobile location estimation in GSM Network

  • Published in Energy in 2016 with 10 citations.

A Survey on the Availability of TV White Spaces in Eastern Nigeria (FUT Owerri, As Case Study)

  • Published in Energy with 09 citations.

5G Network Deployment in Nigeria: Key Challenges and The Way Forward

  • Published in Energy in 2021 with 07 citations.

Mobile location estimation in GSM/UMTS

  • Published in Energy in 2014 with 04 citations.