Alaa Ali S Almohanna | Information Technology | Best Researcher Award

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Dr. Alaa Ali S Almohanna | Information Technology | Best Researcher Award

Dr at University of Wollongong, Australia

Alaa Almohanna is an early-career researcher with a PhD in Computing and Information Technology from the University of Wollongong, Australia. His expertise lies in Artificial Intelligence (AI), persuasive technology, and health informatics. Alaa is passionate about using AI to improve healthcare outcomes and mitigate bias in big data. As a researcher and teacher, he contributes to projects that promote equity in healthcare AI and fosters innovation in tech-driven healthcare solutions. He is committed to advancing knowledge and creating practical solutions to complex healthcare challenges.

Profile

Scopus

Orcid

Scholar

🎓 Education

Alaa holds a PhD in Computing and Information Technology (2024) from the University of Wollongong, Australia, where he also completed his MSc in Computer Science, Software Engineering (2015). He earned his Bachelor’s in Computer Science and Engineering (2008) from Taibah University, Saudi Arabia. Alaa’s academic journey reflects a strong foundation in computing, software engineering, and health-related technologies, preparing him for impactful research in the field of AI and health informatics.

💼 Experience

Alaa has worked as an Associate Researcher and Research Assistant at the University of Wollongong, contributing to projects focused on AI in healthcare. He has also been a part-time teaching staff member, developing innovative content and fostering inclusive learning environments. His research has involved operationalizing diversity in healthcare datasets and creating health-tech policy recommendations. He has worked on AI-related healthcare projects for the Australian Commission on Safety and Quality in Health Care, significantly impacting health governance.

🏆 Awards and Honors

Alaa received the Best Paper Award at the 18th International Conference on Persuasive Technology (PERSUASIVE 2023) for his exceptional research in persuasive technology. He also earned High Distinction in research training skills subjects and received recognition for his research contributions to AI in healthcare. Alaa’s dedication to advancing the field of health informatics and AI has been acknowledged by peers and institutions alike, further highlighting his commitment to academic excellence and research innovation.

🔬 Research Focus

Alaa’s research focuses on AI and persuasive technology, particularly in healthcare. He aims to address issues of data diversity and bias in healthcare AI systems. His studies include the development of mHealth apps to promote breastfeeding and healthcare decision-making. Alaa’s work extends to evaluating user experiences, promoting equitable AI, and contributing to healthcare policy development. His ongoing research explores how AI can improve patient outcomes while minimizing biases and ensuring fairness in healthcare delivery systems.

Conclusion

Alaa Almohanna is a highly capable and innovative researcher with a demonstrated track record of excellence in both research and teaching. His contributions to AI in healthcare, along with his recognition through prestigious awards, position him as a strong contender for the Best Researcher Award. His continued focus on operationalizing diversity and improving healthcare technologies promises to create a lasting impact on the field. With a potential for broader collaboration and further pedagogical development, Almohanna is poised for significant academic and professional growth.

📚Publications 

  1. Effectiveness of internet-based electronic technology interventions on breastfeeding outcomes: systematic review
    • Journal: Journal of Medical Internet Research
    • Date: 2020
    • DOI: e17361
    • Authors: AA Almohanna, KT Win, S Meedya

 

  1. Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: A modified Delphi study
    • Journal: International Journal of Medical Informatics
    • Date: 2022
    • DOI: 104789
    • Authors: AAS Almohanna, KT Win, S Meedya, E Vlahu-Gjorgievska

 

  1. A study of women’s perceptions and opinions of a persuasive breastfeeding mHealth app
    • Conference: International Conference on Persuasive Technology
    • Date: 2023
    • Pages: 142-157
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Exploring User Experiences with a Persuasive mHealth App for Breastfeeding: An Empirical Investigation
    • Journal: International Journal of Human–Computer Interaction
    • Date: 2024
    • Pages: 1-18
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Operationalising data diversity for equitable artificial intelligence: A scoping review of health governance frameworks
    • Event: The Australasian Association of Bioethics and Health Law (AABHL) 2024 Conference
    • Date: 2024
    • Authors: AAS Almohanna, KT Win, AN Aguirre, YSJ Aquino

 

  1. Literature Review and Environmental Scan Report: AI Implementation in Hospitals: Legislation, Policy, Guidelines and Principles, and Evidence about Quality and Safety
    • Source: Australian Commission on Safety and Quality in Health Care
    • Date: 2024
    • Authors: F Magrabi, L Bates, K Brooke-Cowden, T Jayawardena, A Wang

 

  1. Exploring Persuasive System Design Features and Users’ Perceptions of an mHealth Breastfeeding App: A Mixed-Method Study
    • Date: 2024
    • Author: AAS Almohanna

 

Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

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Dr. Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

Dr Prasanna Kumar G The National Institute of Engineering India

Dr. Prasanna Kumar G has made substantial contributions to the fields of cybersecurity and ubiquitous networks through a diverse range of publications and research activities. His scholarly work spans several key areas including machine learning in cybersecurity, IoT-based networking solutions, and advanced network models for seamless connectivity.

scholar

Academic History 🎓

Ph.D. in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2023).M.Tech in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2011) – 80.80%.Bachelor’s in Computer Science and Engineering, Visvesvaraya Technological University, Coorg Institute of Technology, Ponnampet (2009) – 58.14%.PUC, Karnataka PU Board, Sarada Vilas PU College, Mysore (2005) – 62.00%.S.S.L.C., Karnataka Secondary Education Board, Sadvidya High School, Mysore (2003) – 76.00%.

Technical Skills 🛠️

Programming Languages: C, C++, Java, PHP, C#.Web Technologies: HTML, CSS, JavaScript, PHP.Operating Systems: Windows, Linux.Database Management: MySQL.Scripting: Shell Script

Projects and Patents 🏗️

M.Tech Project: “Simulation of S-Bus Protocol Devices” – Development and component testing..Patent 1: “Smart Navigation Stick for the Visually Impaired” (Design No. 6295943).Patent 2: “AI-Based Smart Glasses for Visually Impaired” (Application No. 399870-001).

Training and Workshops 🧑‍🏫

Organized and attended various workshops on Python Programming, IoT, Smart Grid Technologies, Network Technologies, and Business Intelligence.

Achievements 🏅

Guided projects that won awards, such as 1st prize in IEEE Project Expo 2023 and Best Paper Award in NCEIS-2019.

Publication

  • Introduction to Cyber Security
    Authors: S. Jadey, S.C. Girish, K. Raghavendra, H.R. Srinidhi, K.M. Anilkumar
    Book: Methods, Implementation, and Application of Cyber Security Intelligence and Analytics
    Year: 2022

 

  • NLADSS: Design of Connectivity as a Service (CaaS) Model using Node-Level Augmentation & Dynamic Sleep Scheduling for Heterogeneous Wireless Network Handoffs
    Author: P.K. Gurumallu
    Journal: International Journal of Intelligent Engineering & Systems
    Volume: 15 (5)
    Year: 2022

 

  • Machine Learning in Cybersecurity: A Comprehensive Survey of Data Breach Detection, Cyber-Attack Prevention, and Fraud Detection
    Authors: P. Kumar, D.Y. Gowda, A.M. Prakash
    Book: Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security
    Year: 2024

 

  • An Efficient IoT-based Ubiquitous Networking Service for Smart Cities Using Machine Learning Based Regression Algorithm
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: International Journal of Information Technology and Computer Science (IJITCS)
    Volume: 15, Pages 15-25
    Year: 2023

 

  • A Novel Approach by Integrating Dynamic Network Selection and Security Measures to Improve Seamless Connectivity in Ubiquitous Networks
    Authors: P. Kumar G, S. N., R. M. B., S. J., S. B. S., D. Y., M. K. B.
    Journal: International Journal of Wireless and Microwave Technologies (IJWMT)
    Volume: 14 (1)
    Year: 2024

 

  • A Metaheuristic Handover Model Using Network Augmentation and Game Theory for Seamless Connectivity in Heterogeneous Networks
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: Wireless Personal Communications
    Volume: 134 (1), Pages 133-150
    Year: 2024

 

  • Basics of Healthcare Informatics
    Authors: J. Sudeep, M. Goutham, G. Prasannakumar, K. Raghavendra, S.C. Girish
    Book: Intelligent Systems in Healthcare and Disease Identification using Data Science
    Year: 2023

 

 

Conclusion:

Dr. Prasanna Kumar G’s body of work reflects a deep engagement with both theoretical and practical aspects of cybersecurity and network engineering. His research not only contributes to the academic community but also offers practical solutions and frameworks applicable to real-world problems. His innovative approaches to network design, security measures, and machine learning applications are indicative of a forward-thinking researcher dedicated to enhancing technological and scientific understanding.

 

 

Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

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Mr. Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

B.Tech in Information Technology (2004), UGC-NET qualified in Computer Science and Applications (2020). M.Tech in Computer Science and Engineering (2011), with nearly 11 years of teaching experience in Programming, Data Structures, and other core subjects for B.Tech. classes at various institutes.

Publication profile

Scopus

Scholar

🎯 Objective

To associate with a dynamic institute that provides a platform to update my knowledge and skills in teaching and research, anticipating and leading changes.

🏆 Achievements

TS-SET 2022: Qualified, Osmania University (March 2023) UGC-NET (June 2020): Qualified in Computer Science and Applications. NPTEL Discipline Star (Dec 2019): Computer Science and Engineering. FET 2010: Qualified, Jawaharlal Nehru Technological University Hyderabad

🎓 Academic Qualifications

NET: UGC-NET (June 2020) in Computer Science and Applications. M.Tech: Computer Science and Engineering (2011), First Class with Distinction, SSEC Bandlaguda, Hyderabad. B.Tech: Information Technology (2004-08), First Class with Distinction, JITS, Karimnagar, Telangana. 12th Class: Sri Triveni Junior College, First Class, Godavarikhani, Dist: Karimnagar, Telangana. 10th Class: Sri Vishwa Shanthi High School, First Class, NTPC, Dist: Karimnagar, Telangana

🏫 Teaching Experience

Asst. Prof. in Artificial Intelligence: Anurag University, Ghatkesar, Hyderabad (02-08-2023 to 30-04-2024) Asst. Prof. in Computer Science and Engineering: MVSR Engineering College, Hyderabad (07-09-2022 to 31-07-2023). Sr. Asst. Prof. in Computer Science and Engineering: CVR College of Engineering, Hyderabad (02-06-2014 to 30-08-2022). Asst. Prof. in Computer Science and Engineering: Sree Chaitanya Institute of Technological Sciences, Karimnagar (13-12-2011 to 21-05-2014). Asst. Prof. in Computer Science and Engineering: Nigama Engineering College, Karimnagar (13-12-2011 to 21-05-2014)

🔬 Research Experience

  • Completed Pre-Ph.D. at SRM Institute of Science and Technology, Kattankulathur, Chennai

Research Excellence Evaluation: Sathya Prakash Racharla

Strengths for the Award:

Academic and Professional Credentials: Educational Background: Sathya Prakash Racharla holds a B.Tech in Information Technology, an M.Tech in Computer Science and Engineering, and has qualified UGC-NET in Computer Science and Applications. Teaching Experience: With over 11 years of experience, he has taught core subjects in various prestigious institutes and has held roles ranging from Assistant Professor to Senior Assistant Professor. Research Contributions: He has published numerous papers in reputed journals and conferences, demonstrating a significant contribution to his field, particularly in wireless sensor networks, machine learning, and data science. Achievements and Certifications: Certifications: Completion of various MOOCs through NPTEL and FDPs through AICTE indicates a commitment to continuous learning and staying updated with the latest advancements. Awards: Recognized for excellence through NPTEL and TS-SET certifications, which highlight his proficiency and dedication to the field of Computer Science. Research Experience: Publications: A strong record of publications in international journals and conferences demonstrates a high level of research activity and impact in areas like wireless sensor networks, machine learning, and data science. Pre-Ph.D. Completion: The completion of Pre-Ph.D. from a reputable institute further indicates his readiness for advanced research and contributes to his research profile.

Areas for Improvement:

Research Grants and Projects: Grants: There is limited information on substantial research grants or major projects led by the candidate. Securing and leading significant research grants can enhance his research profile and funding capabilities. Research Impact: Expanding on the practical impact and applications of his research work could strengthen his overall profile and demonstrate a broader impact in his field. Advanced Research Contributions: Innovation and Patents: While he has a strong publication record, involvement in innovative research leading to patents or groundbreaking technologies could further enhance his profile. Collaborations and Multidisciplinary Research: Engaging in interdisciplinary research and collaborations could provide a more comprehensive approach to complex problems and increase visibility in diverse research communities.

 

Publication top notes

  1. Title: A review on localization problems in wireless sensor network: Algorithmic and performance analysis
    Authors: SP Racharla, J Kalaivani
    Year: 2021

 

  1. Title: An Iterative approach for the Restoration of Motion Blurred Images
    Authors: MSP Racharla, MKS Babu, AK Jakkani
    Year: Not provided

 

  1. Title: Hybridised swarm intelligence approach for multi-objective-based node localisation in wireless sensor network: hybrid glow-worm and cat swarm algorithm
    Authors: SP Racharla, K Jeyaraj
    Year: 2024

 

  1. Title: Review on RBFNN design approaches: A case study on diabetes data
    Authors: R Cheruku, D Tripathi, Y Narasimha Reddy, S Prakash Racharla
    Year: 2018

 

  1. Title: Reducing Overfitting Problem in Machine Learning using L1/4 Activation Function
    Authors: SP Racharla, M Umar, VDS Krishna
    Year: 2020

Conclusion:

Sathya Prakash Racharla is a well-qualified and experienced academic with a solid background in computer science and engineering. His achievements, teaching experience, and research contributions position him as a strong candidate for recognition in research excellence. To further strengthen his profile, focusing on securing significant research grants, engaging in innovative projects, and expanding his impact through interdisciplinary research would be beneficial. His commitment to continuous learning and contributions to his field are commendable and align well with the criteria for excellence in research.