Loay Aladib | Information Sciences |Young Scientist Award

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Mr. Loay Aladib | Information Sciences |Young Scientist Award

PhD Research Scholar, University of Wollongong

Loay Aladib is a PhD Research Scholar at the University of Wollongong, Australia, specializing in Software Engineering and Artificial Intelligence. With 12+ years of experience, he has led software teams to build efficient, elegant solutions across diverse platforms. His core strength lies in blending practical software design with deep technical research. Loay is currently immersed in developing advanced frameworks that integrate Runtime Verification with stream processing systems like Apache Spark. His work ensures scalable, real-time monitoring of distributed systems, driving innovations in safety-critical applications such as IoT and smart cities. Adept in various languages, frameworks, and cloud platforms, Loay exemplifies the role of a modern software architect and researcher. His commitment to excellence, adaptability, and problem-solving mindset has positioned him at the forefront of next-generation computing solutions. Loay is not only a passionate coder but also a visionary problem solver working at the intersection of code, logic, and impact.

Profile

Scholar

🎓 Education 

 Loay Aladib is currently pursuing a PhD in Software Engineering and Artificial Intelligence at the University of Wollongong, focusing on real-time distributed systems and formal verification techniques. His doctoral research bridges theoretical concepts like Linear Temporal Logic with practical big data stream frameworks. Before this, Loay earned his bachelor’s degree in computer science/software engineering, followed by a postgraduate specialization (details not provided). His academic journey is driven by a desire to enhance software system reliability through intelligent automation and scalable architecture. Loay’s education is marked by continuous learning, technical proficiency, and interdisciplinary exploration, equipping him with the skills to address complex challenges in AI and software development. His PhD candidacy reflects his commitment to research excellence, innovation, and the application of formal methods in real-world computing environments. Through rigorous academic training and practical insight, Loay has developed a unique profile combining academic depth with industry-savvy problem-solving capabilities.

💼 Experience 

 With 12+ years of robust professional experience, Loay Aladib has led software development teams across various tech sectors, delivering high-performance, scalable solutions tailored to business and user needs. His role has spanned full-stack development, system architecture, and collaborative product engineering. Loay consistently combines technical depth with strategic vision, enabling teams to innovate rapidly while maintaining code quality and performance. Beyond corporate roles, his current work as a PhD researcher involves designing AI-integrated monitoring systems for distributed data streams, showcasing a unique fusion of industry expertise with academic rigor. Loay is proficient in cloud platforms, diverse programming languages, and modern software engineering practices. He brings creativity and adaptability to every project, turning technical constraints into scalable solutions. His leadership experience includes mentoring junior developers, managing cross-functional teams, and aligning technical goals with organizational objectives. Loay thrives in dynamic, challenge-driven environments, always pushing boundaries in software reliability and intelligent system design.

🏅 Awards and Honors 

 Loay Aladib has been nominated for prestigious awards such as the Best Researcher Award and Young Scientist Award in recognition of his impactful contributions to the intersection of software engineering and artificial intelligence. While specific award wins are yet to be listed, his nomination itself speaks volumes about the originality, utility, and future relevance of his work. His real-time verification framework for Apache Spark has received positive attention from peers and professionals alike for enhancing system reliability in distributed data environments. Loay’s IEEE membership also signifies his recognition and affiliation within a global community of innovators. His work is not just academic but designed for high-impact real-world applications, particularly in areas like smart cities, IoT, and industrial automation. These contributions underscore his potential for receiving honors in innovation, research excellence, and technology leadership. With several publications and ongoing collaborations, Loay stands out as a rising star in next-gen computing research.

🔬 Research Focus 

 Loay Aladib’s research is centered on enhancing real-time reliability in distributed systems using Runtime Verification (RV) and Linear Temporal Logic (LTL). His doctoral work proposes a novel runtime framework for monitoring LTL properties in streaming environments like Apache Spark, ensuring accurate real-time detection of safety and liveness violations in complex data flows. The research bridges formal verification with practical implementation, introducing scalable and reusable LTL patterns for system developers. A key application includes real-time weather data analysis, where his model detected anomalies in temperature and wind speed conditions efficiently. Loay’s research aims to simplify the adoption of formal methods in industry by making verification tools modular, performant, and adaptable across platforms like Apache Flink and beyond. This work has high potential for applications in IoT, smart infrastructure, and mission-critical industrial monitoring. By aligning correctness with efficiency, Loay’s focus sets a new standard in stream-processing reliability and system assurance.

✅ Conclusion

Loay Aladib is a strong and promising candidate for the Young Scientist Award, especially given his interdisciplinary expertise, real-world applicability of his research, and dedication to bridging theoretical rigor with scalable implementation. While there is scope for academic profile expansion through more citations, publications, and collaborations, his current trajectory and innovations reflect significant potential. Recognizing his work through this award would not only be a timely encouragement but also propel further impactful contributions in AI-driven software engineering and distributed systems.

Publication

Author: Aladib, L. & Lee, S.P.
Title: Pattern Detection and Design Rationale Traceability: An Integrated Approach to Software Design Quality
Year: 2018
Citations: 10

Author: Aladib, L.
Title: Case Study of Object Constraints Language (OCL) Tools
Year: 2014
Citations: 3

Author: Aladib, L., Su, G., & Yang, J.
Title: Real-Time Monitoring of LTL Properties in Distributed Stream Processing Applications
Year: 2025
Citations: 0

Author: Aladib, L.
Title: Detecting Design Pattern and Tracing Its Design Rationale
Year: 2017
Citations: 0

Author: Loay, A.
Title: Detecting Design Pattern and Tracing Its Design Rationale / Loay Aladib
Year: 2017
Citations: 0

 

Author: Aladib, L.
Title: Task Management System (TMS) for University of Malaya Research Student
Year: 2015
Citations: 0

Author: Aladib, L.
Title: Case Study of Student Registration System (SRS) Domain
Year: 2015
Citations: 0

Author: Aladib, L., Fey, C.H., Ling, S.T.C., & Thamutharam, Y.N.
Title: Case Study of Online Properties Auction System (OPAS) Domain
Year: 2014
Citations: 0

Author: Aladib, L., Ling, S.T.C., Thamutharam, Y.N., Rosli, M.N. bin, & Ridzuan, E.A.
Title: Software Requirements Specification (SRS) Web Publishing System Domain
Year: 2014
Citations: 0

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

 

Ali Bagheri Bardi| Digital Signal Processing | Best Researcher Award

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Assoc Prof Dr. Ali Bagheri Bardi| Digital Signal Processing | Best Researcher Award

Assoc Prof Dr.  Ali Bagheri Bardi Persian Gulf University Iran

Ali Bagheri Bardi is an accomplished mathematician with a Ph.D. from Kharazmi University, specializing in pure and applied mathematics, including functional analysis, Fourier analysis, and algebraic signal processing. He has held prestigious positions, such as a postdoctoral researcher and visiting professor at the University of Montenegro and has a significant teaching career at Persian Gulf University. Recognized for his contributions, he has received awards like the Abbas Kermani Mathematics Award. His research focuses on operator algebras, noncommutative harmonic analysis, and graph signal processing, with numerous publications in esteemed journals. He has also mentored Ph.D. students and delivered invited talks at international conferences.

Publication Profile

Scholar

Evaluation for Best Researcher Award: Ali Bagheri Bardi

Strengths for the Award:

  1. Extensive Academic and Research Background: Dr. Ali Bagheri Bardi has an impressive academic background with a Ph.D. in Mathematics from Kharazmi University and significant experience in both teaching and research at renowned institutions, including the University of Montenegro and Persian Gulf University.
  2. Diverse Research Contributions: His research spans a broad spectrum of mathematical disciplines, including pure mathematics, functional analysis, Fourier analysis, von Neumann algebras, and applied mathematics, specifically in algebraic signal processing and graph signal processing.
  3. Publication Record: Dr. Bardi has a strong publication record, with numerous papers in prestigious journals such as Signal Processing, Digital Signal Processing, and Linear Algebra and its Applications. His work is recognized for its depth and contribution to the fields of functional analysis and signal processing.
  4. International Recognition: Dr. Bardi has been invited to speak at various international conferences and universities, showcasing his expertise on a global platform. This recognition by the international community is a testament to the impact and significance of his research.
  5. Mentorship: He has supervised several Ph.D. students, guiding them through complex mathematical research, which reflects his dedication to fostering the next generation of researchers.
  6. Awards and Honors: His receipt of the Abbas Kermani Mathematics Award and an Honorable Mention in the International Mathematics Competition further highlight his excellence in research and mathematical problem-solving.

Areas for Improvement:

  1. Interdisciplinary Collaborations: While his work is strong within the realm of pure and applied mathematics, Dr. Bardi could enhance his research profile by engaging in more interdisciplinary collaborations that connect mathematics with other fields, such as computer science or engineering.
  2. Broader Impact and Outreach: Increasing public engagement through popular science articles or public lectures could help disseminate his work to a wider audience and elevate his influence beyond the academic community.
  3. Securing Larger Grants: Pursuing and securing larger-scale research grants, particularly those that support collaborative, multi-institutional projects, could further bolster his standing as a leading researcher.

🎓 Education

2004–2008  Ph.D, Kharazmi University. 2002–2004  M.Sc, Kharazmi University. 1998–2002 B.Sc, Shahid Beheshti University.

🎯 Interests

Pure Math. & Functional Analysis – Fourier Analysis – von Neumann Algebras. Applied Math. & Algebraic Signal Processing – Graph Signal Processing

💼 Working Experience

2023–2024  Postdoctoral Position, University of Montenegro, Electrical Engineering Department. 2022–2023  Visiting Professor, University of Montenegro, Electrical Engineering Department. 2020–2022  Associate Professor, Persian Gulf University. 2010–2020  Assistant Professor, Persian Gulf University.

🏆 Awards

2000  Honorable Mention, International Mathematics Competition for University Students (University College London). 2021 Abbas Kermani Mathematics Award (Shiraz University).

🎤 Invited Talks and Conferences

2009 🇪🇸 Infinite Matrices over Completely Counteractive Banach Algebras, Madrid University, Spain. 2010 🇸🇪 Operator-Valued Convolution Algebras, Chalmers University, Sweden. 2011 🇯🇵 Operator Algebras and their Applications, RIMS, Kyoto University, Japan. 2011 🇵🇱 Operator Algebras and Quantum Groups, Banach Center, Poland. 2011 🇱🇺 Noncommutative Harmonic Analysis and Representation Theory, Luxembourg University, Luxembourg. 2023 🇫🇷 Noncommutative Analysis on Groups and Quantum Groups, Université de Bourgogne Franche-Comté, France.

🎓 Ph.D. Students

Current Student
Fatemeh Zarei, Spectral Theory of Polynomial Transforms and Fourier Transform on Graphs
2021.  S. Javani, Some Analysis of K-Frames and its Dual
2019 . A. Elyaspour, An Algebraic Approach to the Structure Theory of B(H)
2018.  M. Khosheghbal, An Approach to Operator-Valued Measurable Functions

Publications

  • Wold-type decompositions in Baer⁎-rings
    GA Bagheri-Bardi, A Elyaspour, GH Esslamzadeh
    2018
  • The role of algebraic structure in the invariant subspace theory
    GA Bagheri-Bardi, A Elyaspour, GH Esslamzadeh
    2019
  • Operator-valued measurable functions
    GA Bagheri-Bardi
    2015
  • Operator-valued convolution algebras
    GA Bagheri-Bardi, AR Medghalchi, N Spronk
    2010
  • Numerical solutions of a mathematical model of plankton–oxygen dynamics using a meshless method
    A Shirzadi, S Ghayedi, M Safarpoor, G Bagheri Bardi
    2018
  • Borel structures coming from various topologies on
    GA Bagheri-Bardi, M Khosheghbal-Ghorabayi
    2017
  • Zero-padding on Connected Directed Acyclic Graphs for Spectral Processing
    L Stanković, M Daković, M Brajović, I Stanković, AB Bardi
    2023
  • Vector-valued measurable functions
    GA Bagheri-Bardi
    2019
  • An extension of Riesz dual pairing in non-commutative functional analysis
    GA Bagheri-Bardi, A Elyaspour, S Javani, M Khosheghbal-Ghorabayi
    2018
  • Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding
    L Stankovic, M Dakovic, AB Bardi, M Brajovic, I Stankovic
    2023
  • Eigenvalues of Symmetric Non-normalized Discrete Trigonometric Transforms
    AB Bardi, M Dakovic, T Yazdanpanah, L Stankovic
    2023
  • The Schur decomposition of discrete Sine and Cosine transformations of type IV
    Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Fatemeh Zarei, Ljubisa Stankovic
    2023
  • Wold-type decomposition of semigroups of isometries in Baer⁎-rings
    GA Bagheri-Bardi, GH Esslamzadeh, M Sabzevari
    2021
  • Four Algorithms to Produce Approximate K-Dual Frames
    S Javani, GA Bagheri Bardi, F Takhteh
    2020

Conclusion:

The conclusion for the professional and academic profile of Ali Bagheri Bardi highlights his extensive expertise in both pure and applied mathematics, with a particular focus on functional analysis, operator algebras, and algebraic signal processing. Throughout his career, he has held prominent academic positions, contributed significantly to mathematical research, and received recognition for his scholarly achievements, including prestigious awards and invitations to international conferences. His research has led to numerous publications in high-impact journals, and his work continues to influence various fields, particularly in signal processing and noncommutative analysis. His dedication to mentoring Ph.D. students further underscores his commitment to advancing mathematical sciences.

 

Abdallah Houcheimi | Agronomy | Best Researcher Award

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Mr. Abdallah Houcheimi | Agronomy | Best Researcher Award

 

Mr at Abo Akademi University Finland

University instructor and researcher in information systems specializing in Data Management, E-Commerce, Knowledge Management, Business Intelligence, Supply Chain, and Operations Management. Currently pursuing a D.Sc. in Information Systems at Åbo Akademi University (ÅAU), focusing on e-commerce, decision analytics, and artificial intelligence solutions for business domains.

profile

Orcid

📚 Education

D.Sc. Information Systems (expected October 2024) Åbo Akademi University (ÅAU) – Turku, Finland, Master of Business Administration – International Business (Merit), 2015 University of Liverpool – United Kingdom, B.S. in Information Technology, 2006 Lebanese International University – Lebanon

🎓 Teaching & Professional Experience

2023 – Present Åbo Akademi University (ÅAU) Full-time doctoral researcher. 2017 – 2023 Lebanese International University Instructor and research supervisor in the MIS department. Assistant Dean (2018 – 2021) – School of Business (Reyak Campus). 2022 – 2023 MSF Bar Elias Hospital Medical Data Supervisor. 2015 – 2016 Alpha Data Abu Dhabi, UAE Managing and implementing IT projects including VDI, Applications Virtualization, and Mobility using Citrix and VMWare technologies. 2007 – 2014 Abu Dhabi Investment Authority (ADIA) Abu Dhabi, UAE Information Technology Analyst and IT Project Leader. 2006 – 2007 Exceed IT Services Company Abu Dhabi, UAE Information Technology Support Analyst

Publications Top Notes

  • Houcheimi, A., & Mezei, J. (2024). The Role of Secure Online Payments in Enabling the Development of E-Tailing. Journal of Organizational Computing and Electronic Commerce, 1–19. Link

 

  • Houcheimi, A., Mezei, J. (2024). The Role of Online Product Information in Enabling Electronic Retail/E-tailing. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Link

 

  • Houcheimi, A. (2022). The Key E-Tail Opportunities and Challenges in The Lebanese E-Commerce Market. Journal of Information System and Technology Management, 7(26), 13-31. Link

 

  • Houcheimi, A. (In Press). The role of social media networks in enabling the development of electronic retail (e-tailing). Submitted to Knowledge and Information Systems Journal.

 

S.UMAMAHESWARI | Electronics | Best Innovation Award

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 Dr. S.UMAMAHESWARI | Electronics | Best Innovation Award

 Dr. SRM Institute of Science and Technology, India

👩‍🔬Driven by a passion for Electronics and Communication Engineering, I have steadily advanced my academic journey, culminating in a Ph.D. from Karunya Institute of Technology and Sciences, Coimbatore. Prior to this, I completed an M.Tech from PRIST University and a B.E. from A.V.C College of Engineering. With over 6 years of academic experience, I currently serve as an Assistant Professor at SRM IST, Kattankulathur. My research focus includes image processing, with my doctoral thesis exploring QR code-based image steganography. I am a proud member of esteemed professional organizations and have garnered several honors and awards for my contributions to the field. 🌟

 

Profile

Scholar

 

Education 🎓

Ph.D. in Electronics and Communication Engineering Institution: Karunya Institute of Technology and Sciences, Coimbatore Year: Jan 2016. M.Tech in Communication Systems Institution: PRIST University, Thanjavur Year: May 2013 B.E. in Electronics and Communication Engineering Institution: A.V.C College of Engineering (Anna University) Year: May 2011.

Thesis Title 📝

  • Field: Image Processing
  • Title: QR code based Image Steganography approaches using Frequency domain and Optimization Techniques
  • Guide Name: Dr. D. JUDE HEMANTH
  • Duration: From [Start Date] to [End Date]
  • FT/PT: [Full-Time/Part-Time]

Academic Experience 👨‍🏫

  • Institution: SRM IST, Kattankulathur
    • Title: Assistant Professor
    • From: August 1, 2016
    • To: Till Date (April 2024)
    • FT/PT: Full-Time
  • Institution: A.V.C College of Engineering
    • Title: Assistant Professor
    • From: August 1, 2011
    • To: December 31, 2012
    • FT/PT: Full-Time

Honors and Awards 🏆

  • Second Prize
    • Nature: Paper presentation on “Brain Computer Interface”
    • Event: Sri Manakula Vinayagar Engineering College, Pondicherry, 2010.
  • First Prize
    • Nature: Paper presentation on “Voice operated intelligent Wheel chair”
    • Event: Dhanalakshmi College of Engineering, Chennai, 2010.
  • Second Prize
    • Nature: Paper presentation on “Speak Up”
    • Event: Cauvery Engineering College, Trichy, 2010.
  • Second Prize
    • Nature: Paper presentation on “Automatic level crossing gates”
    • Event: Arasu Engineering College, Kombakonam, 2009.
  • Second Prize
    • Nature: Paper presentation on “Voice operated intelligent Wheel chair”
    • Event: Periyar Maniammai University, Thanjavur, 2009.

Publications Top Notes 📝

  • Frequency domain QR code based image steganography using Fresnelet transform
    • Authors: S. Uma Maheswari, D. Jude Hemanth
    • Journal: International Journal of Electronics and Communication
    • Year: 2015
    • Volume: 69
    • Issue: 1
    • Pages: 539-544
    • Citations: 63*

 

  • Performance enhanced Image Steganography Systems using Transforms and Optimization Techniques
    • Authors: SU Maheswari, DJ Hemanth
    • Journal: International Journal of Multimedia tools and Applications
    • Year: 2017
    • Volume: 1
    • Issue: 1
    • Pages: 1-22
    • Citations: 37

 

  • Application of Genetic Algorithm and Particle Swarm Optimization techniques for improved image steganography systems
    • Authors: DJ Hemanth, S Umamaheswari, DE Popescu, A Naaji
    • Journal: Open Physics
    • Year: 2016
    • Volume: 14
    • Issue: 1
    • Pages: 452-462
    • Citations: 15

 

  • Different methodology for image steganography-based data hiding: review paper
    • Authors: SU Maheswari, DJ Hemanth
    • Journal: Int. J. Information and Communication Technology
    • Year: 2015
    • Volume: 7
    • Issue: 4
    • Pages: 521-536
    • Citations: 9

 

  • Discrete ripplet transform based image steganography system for imaging applications
    • Authors: SU Maheswari, DJ Hemanth
    • Journal: Int. J. Reasoning-based Intelligent Systems
    • Year: 2015
    • Volume: 7
    • Issue: 1
    • Pages: 130-135
    • Citations: 2

 

  • A hybrid edge detector and ridgelet transform based steganography technique for imaging applications
    • Authors: SU Maheswari, DJ Hemanth
    • Journal: Defense Science Journal
    • Year: 2015
    • Volume: 65
    • Issue: 3
    • Pages: 214-219

 

MANISHA RAJORIYA | Software Solutions | Women Researcher Award

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  Ms. MANISHA RAJORIYA | Software Solutions | Women Researcher Award

👨‍🏫Profile Summary

A dedicated researcher and educator in the field of Computer Science & Engineering, currently pursuing a Ph.D. with a focus on Computer Networks and Software Defined Wireless Sensor Networks (SDWSN). With over 12 years of teaching experience, including roles as an Assistant Professor and thesis supervisor, I have contributed significantly to academia. My research interests span optimization algorithms, energy-aware scheduling, and the application of machine learning in SDWSN. Notable achievements include publications in esteemed journals and conferences, along with participation in workshops and training programs, demonstrating a commitment to continuous learning and professional development.

🌐 Professional Profiles

 

 

🎓Academic Qualification

Ph.D. (Pursuing) in Computer Science & Engineering, Rajasthan Technical University, Kota Specialization: Computer Networks Thesis Title: Clustering Based Distributed Controller Placement in Software Defined Wireless Sensor Networks Advisor: Dr. Chandra Prakash Gupta (2020-present) M. Tech in Computer Science & Engineering, Rajasthan Technical University, Kota (2017) Specialization: Computer Science & Engineering Thesis Title: ETC Based Resource Allocation to Minimize Makespan Time in Heterogeneous Computing System Advisor: Dr. Rohitash Baniyal B. Tech in Computer Science & Engineering, Rajasthan Technical University, Kota (2014)

🔬Ph.D. Research Statement

In my doctoral studies, I am working on the controller placement problem in Software Defined Wireless Sensor Networks (SDWSN). Specifically, I am utilizing the Sailfish Optimization based Controller Selection (SFO-CS) approach for selecting optimal nodes as Control Nodes (CNs) in SDWSN. This solution aims to address the challenge of selecting optimal CNs efficiently in SDWSN, considering factors such as energy consumption and computing power. Additionally, I am exploring Machine Learning (ML) based techniques to enhance the intelligence and robustness of SDWSNs, particularly focusing on Deep Learning (DL) to minimize transmission distance and energy consumption.

 Work Experience

  • Assistant Professor, Department of Computer Science & Engineering, R N Modi Engineering College, Kota (Rajasthan) (August 2017-September 2018)

💻Skills

  • Programming Languages: C/C++
  • Simulation Software: Mininet, MATLAB, NS3, Cooja

 Journal

  • Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “Sailfish optimization-based controller selection (SFO-CS) for energy-aware multi-hop routing in software defined wireless sensor network (SDWSN).” International Journal of Information Technology (2023): 1-14.
  • Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “SO-CPP: Sailfish Optimization based Controller Placement in IoT-Enabled Software-Defined Wireless Sensor Networks.” International Journal of Communication Systems (Accepted).

Conferences

Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “A Taxonomy on Distributed Controllers in Software Defined Networking.” In 5th International Conference on Computing Methodologies and Communication (2021). (pp. 120-126). Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “Performance of Ryu and Pox Controllers for Software Defined Networking using Mininet Emulator.” 2nd International Conference on Recent Advances in Computational Techniques: IC-RACT 2022, AIP Conference Proceedings.

Book

  • Rajoriya, Manisha Kumari. “Resource Allocation in Heterogeneous Computing System.” LAP LAMBERT Academic Publishing, Germany (July 13, 2023). ISBN-13: 978-6206740261

📊Research Area

Software Defined Networking, Wireless Sensor Network, Software Defined Wireless Sensor Network Controller Placement Problem, Optimization Algorithms, Energy Aware Scheduling

📚Top Noted Publication

Title: Sailfish Optimization-based Controller Selection (SFO-CS) for Energy-aware Multi-hop Routing in Software Defined Wireless Sensor Network (SDWSN)
Author: MKRCP Gupta
Journal: International Journal of Information Technology
Year: 2023

 

Title: A Taxonomy on Distributed Controllers in Software Defined Networking
Authors: MK Rajoriya, CP Gupta
Conference: 2021 5th International Conference on Computing Methodologies and …
Year: 2021

 

Title: SO-CPP: Sailfish Optimization-based Controller Placement in IoT-enabled Software-defined Wireless Sensor Networks
Author: MKRCP Gupta
Journal: International Journal of Communication Systems
Year: 2024

 

Title: ISFO-CS: An Improved Sailfish Optimization Algorithm for Controller Selection in SDWSN
Authors: MK Rajoriya, CP Gupta
Year: 2024

 

Title: Topology-based Controller Placement in Software Defined Network
Authors: MK Rajoriya, CP Gupta
Journal: AIP Conference Proceedings
Year: 2023

 

Title: A Preliminary Study on Cloud Computing and Its Virtualization
Author: MK Rajoriya
Journal: Advancement of Computer Technology and its Applications
Year: 2019

 

Title: Resource Allocation in Linear Programming Based on Energy and Make Span Minimization Using ETC
Authors: MK Rajoriya, RK Banyal
Conference: 2017 Second International Conference on Electrical, Computer and …
Year: 2017

 

Title: Efficient and Scalable LP Based Resource Allocation and Makespan Minimization in Heterogeneous Computing System: A Review
Authors: RKB MK Rajoriya
Conference: International Conference on Recent Advances in Computing and Communication …
Year: 2016