Nida Saddaf Khan | Artificial intelligence | Best Researcher Award

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🌟Dr. Nida Saddaf Khan, Artificial intelligence, Best Researcher Award🏆

  • Doctorate at Aga Khan University, Karachi Pakistan

Dr. Nida Saddaf Khan is a dedicated faculty member, seasoned researcher, and accomplished data scientist specializing in healthcare solutions. With over 15 years of teaching experience at esteemed institutions in Pakistan, she holds a Ph.D. in Computer Science with a focus on managing clinical treatment for anxiety and obsessive-compulsive disorder (OCD) using deep learning and smart devices. Currently serving as a Senior Instructor at the Clinical and Translational Research Incubator (CITRIC)-Health Data Science Centre at Medical College, Aga Khan University, Karachi, Pakistan, she is actively engaged in research collaborations and projects funded by organizations such as the Patrick J. McGovern Foundation and the Bill & Melinda Gates Foundation. Dr. Khan’s career ambitions center on becoming a well-trained and seasoned researcher in AI and machine learning for healthcare, with a focus on mental health, while also aspiring to pursue a career in academia to mentor the next generation of healthcare leaders.

Author Metrics

Dr. Khan’s research output is reflected in her author metrics, which include publications in high-impact journals such as Wireless Personal Communications and Sensors. She has also made significant contributions to datasets and open-access repositories, facilitating knowledge dissemination and collaboration within the research community.

Scopus Profile

Google Scholar Profile

  • Total Citations: 86
  • Total Documents: 5
  • h-index: 5

The provided information is about Dr. Nida Saddaf Khan, affiliated with the Institute of Business Administration in Karachi, Pakistan. She has a Scopus Author Identifier with the ID 56083863100 and has been cited 86 times across 85 documents. Dr. Khan has authored 5 documents, resulting in an h-index of 5.

Education

Dr. Khan holds a Ph.D. in Computer Science from the Institute of Business Administration (IBA), Karachi, Pakistan, with a thesis focused on human activity recognition for anxiety and OCD. She completed her M.S. and B.S. in Computer Science from the same institution, along with an MBA in Finance from Karachi University Business School (KUBS), University of Karachi, Pakistan.

Research Focus

Dr. Khan’s research primarily revolves around the application of artificial intelligence (AI) and machine learning techniques in healthcare, particularly in the domain of mental health. Her work spans projects such as developing AI-based systems for diagnosing and monitoring OCD and anxiety disorders, real-time analysis of sensor data for automated decision-making in smart homes, sentiment analysis on social media, and identification of opinion leaders in social networks. She is passionate about leveraging technology to improve health outcomes, with a specific interest in mental health interventions.

Professional Journey

Dr. Khan’s professional journey includes roles as a Senior Instructor at CITRIC-Health Data Science Centre, Visiting Faculty at IBA Karachi, Ph.D. Scholar at IBA Karachi, Consultant at Love For Data, Technical Consultant at Predictify.me, and Software Engineer at Software Island. Throughout her career, she has contributed to teaching, research, and project management in various capacities, focusing on health data science, machine learning, and software development.

Honors & Awards

Dr. Khan has received several honors and awards for her contributions to research and academia. Notably, she secured funding as a Co-Principal Investigator for an interdisciplinary project titled “Face Your Fear: Human Activity Recognition for Obsessive-Compulsive Disorder.” She has also been recognized for her publications in reputable journals and conferences, including awards such as the IBA RFPC Interdisciplinary Research Grant.

Publications Noted & Contributions

Dr. Khan has authored numerous research papers published in reputable journals and conferences, covering topics such as human activity recognition, sentiment analysis, IoT-based smart home systems, and anti-money laundering. She has also contributed to collaborative research projects and grant applications, demonstrating her commitment to advancing knowledge in her field.

Ontology based expert-system for suspicious transactions detection
Authors: Q Rajput, NS Khan, A Larik, S Haider
Published in: Computer and Information Science, 2014
Citations: 69

A Bayesian approach for suspicious financial activity reporting
Authors: NS Khan, AS Larik, Q Rajput, S Haider
Published in: International Journal of Computers and Applications, 2013
Citations: 39

A survey of deep learning based models for human activity recognition
Authors: NS Khan, MS Ghani
Published in: Wireless Personal Communications, 2021
Citations: 38

Real-time analysis of a sensor’s data for automated decision making in an IoT-based smart home
Authors: NS Khan, S Ghani, S Haider
Published in: Sensors, 2018
Citations: 35

Identification of opinion leaders in social network
Authors: NS Khan, M Ata, Q Rajput
Published in: 2015 International Conference on Information and Communication Technologies
Citations: 19

ADAM-sense: Anxiety-displaying activities recognition by motion sensors
Authors: NS Khan, MS Ghani, G Anjum
Published in: Pervasive and Mobile Computing, 2021
Citations: 9

Predicting collective synchronous state of sentiments for users in social media
Authors: NS Khan, MS Ghani
Published in: Mehran University Research Journal of Engineering & Technology, 2019
Citations: 2

Research Timeline

Dr. Khan’s research timeline spans over a decade, starting from her role as a Research Assistant at the AI Lab, IBA Karachi, in 2012. She has since progressed through various academic and professional roles, contributing to research projects, organizing international events, securing research funding, and publishing her findings in reputable journals and conferences. Her research trajectory reflects a continuous dedication to advancing knowledge and addressing critical challenges in healthcare, particularly in mental health, through innovative research and collaboration.

Rosmiwati Mohd Mokhtar | Robotics | Best Researcher Award

Published on by Global Scholar Awards

🌟Assoc Prof Dr. Rosmiwati Mohd Mokhtar, Robotics, Best Researcher Award 🏆

  •  Associate Professor at Universiti Sains Malaysia, Malaysia

Assoc. Prof. Ir. Dr. Rosmiwati Mohd-Mokhtar is a distinguished academic and researcher in the field of Electrical and Electronic Engineering. With a strong educational background and extensive professional experience, she has made significant contributions to academia through her research, teaching, and leadership roles. Her expertise lies in system modeling, control system design, and robotics applications. Dr. Rosmiwati has garnered numerous honors and awards for her outstanding contributions to the field, and her publications have greatly enriched the academic community. Her commitment to excellence is evident through her continuous pursuit of knowledge and dedication to advancing the field of electrical engineering.

Author Metrics

ORCID Profile

Scopus Profile

Google Scholar Profile

Dr. Rosmiwati’s author metrics reflect the impact and reach of her research contributions. With a prolific publication record and citations in reputable journals, she has demonstrated the significance and relevance of her work within the academic community. Her h-index, citation count, and other author metrics serve as quantitative measures of her scholarly impact and influence in the field of electrical and electronic engineering.

  • Citations: 530 citations by 481 documents
  • Documents: 89
  • h-index: 11

Education

Dr. Rosmiwati Mohd-Mokhtar attained her Bachelor of Engineering (Hons) in Electrical & Electronic Engineering from Universiti Sains Malaysia in 1999, followed by a Master of Science (M.Sc) in Electrical & Electronic Engineering from the same institution in 2002. She furthered her studies and obtained her Doctor of Philosophy (Ph.D) in Electrical Engineering from RMIT University, Australia, in 2008. Throughout her academic journey, she has demonstrated exceptional academic prowess and a passion for advancing knowledge in her field.

Research Focus

Dr. Rosmiwati’s research focuses primarily on three key areas: system modeling & identification, control system design, and robotics & mechatronics applications. Her work encompasses both theoretical developments and practical applications, aiming to address real-world challenges in these domains. Through her innovative research endeavors, she seeks to advance the understanding and capabilities of electrical and electronic systems, contributing to technological advancements and societal progress.

Professional Journey

Dr. Rosmiwati’s professional journey spans various roles in academia and industry. Starting as a trainee and part-time tutor, she progressed to become a seasoned lecturer, researcher, and eventually an Associate Professor. Her career trajectory reflects her dedication to education, research, and professional development. Dr. Rosmiwati’s contributions to the field extend beyond her academic roles, as she has also been actively engaged in consultancy projects and leadership positions within professional associations.

Honors & Awards

Throughout her career, Dr. Rosmiwati has been recognized with numerous honors and awards for her outstanding contributions to academia and professional leadership. These accolades serve as testament to her excellence in research, teaching, and service to the community. Her dedication and achievements have earned her respect and admiration within the academic and professional spheres, inspiring others to strive for excellence in their endeavors.

Publications Top Noted & Contributions

Dr. Rosmiwati has made significant contributions to the academic community through her publications in reputable journals and conference proceedings. Her research outputs have advanced knowledge in her areas of expertise, addressing critical issues and presenting innovative solutions. Through her scholarly endeavors, she has enriched the academic discourse and provided valuable insights for fellow researchers and practitioners in the field.

  1. Title: Underwater glider modelling and analysis for net buoyancy, depth and pitch angle control
    • Authors: NAA Hussain, MR Arshad, R Mohd-Mokhtar
    • Journal: Ocean Engineering
    • Volume: 38
    • Issue: 16
    • Pages: 1782-1791
    • Citations: 101
    • Year: 2011
  2. Title: A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms
    • Authors: CS Tan, R Mohd-Mokhtar, MR Arshad
    • Journal: IEEE Access
    • Volume: 9
    • Pages: 119310-119342
    • Citations: 87
    • Year: 2021
  3. Title: Single-Phase Simplified Split-Source Inverter (S3I) for Boost DC–AC Power Conversion
    • Authors: SS Lee, AST Tan, D Ishak, R Mohd-Mokhtar
    • Journal: IEEE Transactions on Industrial Electronics
    • Volume: 66
    • Issue: 10
    • Pages: 7643-7652
    • Citations: 62
    • Year: 2019
  4. Title: Depth and pitch control of USM underwater glider: performance comparison PID vs. LQR
    • Authors: MM Noh, MR Arshad, R Mohd Mokhtar
    • Journal: Indian Journal of Geo-Marine Science
    • Volume: 40
    • Issue: 2
    • Pages: 200-206
    • Citations: 57
    • Year: 2011
  5. Title: Ground validation of space-borne satellite rainfall products in Malaysia
    • Authors: FA Semire, R Mohd-Mokhtar, W Ismail, N Mohamad, JS Mandeep
    • Journal: Advances in Space Research
    • Volume: 50
    • Issue: 9
    • Pages: 1241-1249

These publications cover various aspects of robotics, power conversion, and underwater glider modeling, indicating Dr. Rosmiwati R. Mohd-Mokhtar’s diverse research interests and contributions to these fields.

Research Timeline

Dr. Rosmiwati’s research timeline showcases the evolution of her academic journey, highlighting key milestones, projects, and collaborations throughout her career. From her early contributions as a graduate engineer to her current role as an Associate Professor, each phase of her research trajectory has contributed to her growth and development as a scholar and professional. This timeline serves as a comprehensive overview of her research activities and achievements over the years.