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

Ferdib Al Islam | Machine Learning | Excellence in Research

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Mr. Ferdib Al Islam | Machine Learning | Excellence in Research

Assistant Professor, Northern University of Business and Technology Khulna Bangladesh

Ferdib-Al-Islam is an Assistant Professor at Northern University of Business and Technology Khulna, Bangladesh. He holds a Master’s and Bachelor’s degree in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET) and Bangabandhu Sheikh Mujibur Rahman Science and Technology University (BSMRSTU), respectively. His research expertise encompasses Machine Learning, Deep Learning, IoT, Data Science, and Computer Vision. Ferdib’s career includes experience as a software engineer in IoT R&D and lecturer roles, contributing significantly to academic and research pursuits.

Publication Profile

Google Scholar

🎓 Education

M.Sc. Eng. in Computer Science and Engineering from KUET (2023) – GPA: 3.50. B.Sc. Eng. in Computer Science and Engineering from BSMRSTU (2018) – GPA: 3.55. HSC in Science from Govt. PC College, Bagerhat (2012) – 5.00. SSC in Science from Bagerhat Govt. Secondary School (2010) – 5.00

💼 Experience

Ferdib has progressed from an intern to a Senior Lecturer, and now an Assistant Professor at Northern University of Business and Technology Khulna. He served as a Lecturer in Computer Science and Engineering from March 2020 to January 2024. His career also includes a Jr. Software Engineer role at W3 Engineers Ltd. in the IoT R&D sector. Ferdib brings practical industry experience into his academic roles, fostering innovation and research.

🏆 Awards & Honors

Ferdib has earned notable accolades, including the Gold Award at Semarak International Research Article Competition III 2024 for his work on Autism Spectrum Disorder detection. He also received the Best Paper Award at ICETIS 2021 for his research on Diabetes Mellitus prediction and the Honorable Mention Award at BDML 2020 for his IoT-based health monitoring tool.

🔬 Research Focus

Ferdib’s primary research interests are in Machine Learning, Deep Learning, IoT, Large Language Models, and Computer Vision. His work focuses on the application of AI techniques to healthcare, predictive modeling, and intelligent systems. His aim is to leverage machine learning for real-world applications like healthcare diagnostics, smart monitoring systems, and data-driven insights in various fields.

Conclusion

Ferdib Al-Islam is an exceptional researcher with notable accomplishments in machine learning, deep learning, and IoT. His commitment to advancing knowledge in these areas, demonstrated by his numerous awards and research contributions, marks him as a leading figure in his field. However, fostering greater interdisciplinary collaborations and increasing his global academic presence will be beneficial for his continued growth as a researcher. He is undoubtedly a deserving candidate for the Excellence in Research award, given his dedication, achievements, and potential for further contributions to the scientific community.

Publication Top Notes

  • Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam, MM Islam, MS Al-Rakhami, MR Haque
    • Citation: 73
  • An IoT Enabled Health Monitoring Kit Using Non-Invasive Health Parameters
    • Year: 2021
    • Authors: A Das, SD Katha, MS Sadi, Ferdib-Al-Islam
    • Citation: 31
  • Hepatocellular Carcinoma Patient’s Survival Prediction Using Oversampling and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, L Akter, MM Islam
    • Citation: 21
  • An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 20
  • Early Identification of Parkinson’s Disease from Hand-drawn Images using Histogram of Oriented Gradients and Machine Learning Techniques
    • Year: 2020
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 19
  • Dementia Identification for Diagnosing Alzheimer’s Disease using XGBoost Algorithm
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 17
  • COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning
    • Year: 2021
    • Authors: P Saha, MS Sadi, OFMRR Aranya, S Jahan, FA Islam
    • Citation: 9
  • Detection of Hepatitis C Virus Progressed Patient’s Liver Condition Using Machine Learning
    • Year: 2022
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 6*
  • Diabetes Mellitus Prediction and Feature Importance Score Finding Using Extreme Gradient Boosting
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 4
  • COV-Doctor: A Machine Learning Based Scheme for Early Identification of COVID-19 in Patients
    • Year: 2022
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 3*
  • Breast Cancer Risk Prediction Using Different Clustering Techniques
    • Year: 2022
    • Authors: L Akter, M Raihan, M Raihan, M Sarker, M Ghosh, N Alvi, Ferdib-Al-Islam
    • Citation: 3
  • Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation
    • Year: 2023
    • Authors: MS Sanim, KM Hasan, MM Alam, MAA Walid, MR Islam
    • Citation: 2
  • Prediction of Dementia Using SMOTE Based Oversampling and Stacking Classifier
    • Year: 2023
    • Authors: Ferdib-Al-Islam, MS Sanim, MR Islam, S Rahman, R Afzal, KM Hasan
    • Citation: 2*
  • An Ensemble Learning Model to Detect COVID-19 Pneumonia from Chest CT Scan
    • Year: 2022
    • Authors: PC Shill
    • Citation: 2

 

 

 

Jianping Zhang | Decision Sciences | Best Researcher Award

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Prof. Dr. Jianping Zhang | Decision Sciences | Best Researcher Award

Director of Uncrewed Aircraft Intelligent Traffic Technology Center at Second Research Institute of Civil Aviation Administration of China China

Zhang Jianping, born in 1976, is a renowned researcher and academic in the field of unmanned aircraft systems and air mobility. With a PhD in Engineering from Nanjing University of Aeronautics and Astronautics, he currently serves as a Researcher at the Second Research Institute of Civil Aviation Administration of China and as a Distinguished Professor at Southwest Jiaotong University. Zhang is the Director of the Civil Unmanned Aircraft Traffic Management Key Laboratory of Sichuan Province. He has made significant contributions to the development of unmanned aircraft traffic management (UTM) systems and international standards.

Profile

Scopus

🎓 Education 

Ph.D. in Engineering: Nanjing University of Aeronautics and Astronautics, specializing in air traffic management systems. Pioneered research in unmanned traffic management, urban air mobility, and advanced air mobility. Developed expertise in engineering solutions for intelligent air traffic systems during doctoral studies.

💼 Experience

Researcher: Second Research Institute of Civil Aviation Administration of China; led national projects in UTM development. Distinguished Professor: Southwest Jiaotong University, mentoring PhD candidates in air mobility and traffic systems. Director: Civil Unmanned Aircraft Traffic Management Key Laboratory of Sichuan Province; guided innovations in air traffic systems.

🏆 Awards & Honors

Special Award for Scientific and Technological Progress: China Communications and Transportation Association. First Prize: Civil Aviation Administration of China Science and Technology Award. Recognized for impactful contributions to UTM systems and intelligent air traffic management products.

🔬 Research Focus

Development of unmanned aircraft traffic management (UTM) systems. Urban air mobility (UAM) and advanced air mobility (AAM). International standards for unmanned aircraft systems (ISO 23629-9). Intelligent air traffic management systems for civil aviation applications.

Conclusion

Zhang Jianping’s exemplary achievements in unmanned aircraft traffic management and intelligent air traffic systems position him as a leading contender for the Best Researcher Award. His visionary leadership, significant contributions to both national and international projects, and ability to bridge the gap between research and real-world applications make him a deserving candidate. By expanding his global collaborations and mentoring future researchers, Zhang Jianping has the potential to continue making transformative advancements in the field of air mobility.

📚Publications 

  1. Title: SPE-SHAP: Self-paced ensemble with Shapley additive explanation for the analysis of aviation turbulence triggered by wind shear events
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.

 

  1. Title: A New Frontier in Wind Shear Intensity Forecasting: Stacked Temporal Convolutional Networks and Tree-Based Models Framework
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.; H. Almaliki, A.

 

  1. Title: Estimating Wind Shear Magnitude Near Runways at Hong Kong International Airport Using an Interpretable Local Cascade Ensemble Strategy
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.; Almujibah, H.

 

  1. Title: Wind Shear and Aircraft Aborted Landings: A Deep Learning Perspective for Prediction and Analysis
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Hussain, A.; Almujibah, H.

 

  1. Title: AI-supported estimation of safety critical wind shear-induced aircraft go-around events utilizing pilot reports
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.; Matara, C.M.

 

  1. Title: An optimisation model of hierarchical facility location problem for urban last-mile delivery with drones
    • Year: 2024
    • Authors: Zhang, G.; Zhang, J.; He, B.; Zhang, R.; Zou, X.

 

  1. Title: Estimating Turbulence Due to Low-Level Wind Shear in Airport Runway Zones Using TabNet-SHAP Framework
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Almaliki, A.H.; Mongina Matara, C.

 

  1. Title: Explainable Boosting Machine: A Contemporary Glass-Box Strategy for the Assessment of Wind Shear Severity in the Runway Vicinity Based on the Doppler Light Detection and Ranging Data
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.; Almujibah, H.

 

  1. Title: Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.

 

  1. Title: The Architecture of a Comprehensive System for Civil Unmanned Aerial Vehicle Traffic Management in Urban Low-Altitude Airspace
    • Year: 2023
    • Authors: Cao, L.; Xu, Q.; Chen, C.; Wu, Q.; Zhang, J.

 

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.

 

Lalit Mohan Joshi | Cloud Computing | Young Scientist Award

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Mr. Lalit Mohan Joshi | Cloud Computing |Young Scientist Award

Mr at  APJ AKIT Tanakpur, India

Dedicated to advancing knowledge in Computer Science & Engineering, I hold an ongoing Ph.D. from Bipin Tripathi Kumaon Institute of Technology, alongside a Post Graduate Diploma in Cyber Law and an M.Tech in Computer Science. With industrial training at prestigious firms like HCL INFOSYSTEMS LIMITED and BHARAT HEAVY ELECTRICALS LIMITED, I bring practical insights to academia. My projects span diverse domains from Library Management to Cloud Computing. As an Assistant Professor, I contribute to nurturing future tech talents. Recognized with awards like the Devbhumi Education Excellence Award, I am committed to excellence in research and education. 🎓🌟

Profile

🎓 Education

Ph.D. (ongoing) from Bipin Tripathi Kumaon Institute of Technology, Dwarahat, Almora, Affiliated to Veer Madho Singh Bhandari Uttarakhand Technical University, Dehradun. Post Graduate Diploma in Cyber Law from Uttarakhand Open University, Haldwani, Uttarakhand in 2016. M.Tech in Computer Science & Engineering from Bipin Tripathi Kumaon Institute of Technology, Dwarahat, Almora, Affiliated to Veer Madho Singh Bhandari Uttarakhand Technical University, Dehradun in 2015. B.Tech in Information Technology from Dev Bhoomi Institute of Technology Dehradun, Affiliated to Uttarakhand Technical University, Dehradun in 2013. Intermediate from Green Wood Public School Sitarganj, U.S. Nagar, Uttarakhand (CBSE Board) in 2009. High School from Saraswati Vidhya Mandir Sitarganj, U.S. Nagar, Uttarakhand. (U.K. Board) in 2006.

👩‍🔬Industrial Training:

HCL INFOSYSTEMS LIMITED, RUDRAPUR as a trainee Engineer (10-06-2011 to 10-07-2011), SAP-ABAP HIGH TECHNOLOGIES SOLUTIONS, DEHRADUN as a trainee Engineer (Sep 2011 to March 2012), BHARAT HEAVY ELECTRICALS LIMITED HARIDWAR as a trainee Engineer (18-06-2012 to 17-07-2012)

📊Projects:

  • Library Management
  • College Management
  • Hypervisor Forensic in Cloud Computing
  • Design and Analysis of Internet Cloud and WPAN based Waste Management System for Smart City

Workshops/Seminars/Conferences/Training Programs/Schools/Symposiums Attended/Participated:

Participated Four Days International Workshop on “MATHEMATICAL MODELING AND RELATED OPTIMIZATION TECHNIQUES” during 14th – 17th December 2009 at University of Delhi, Delhi. 📊 Participated Three Days 6th International Conference on “QUALITY, RELIABLITY, INFOCOM TECHNOLOGY AND INDUSTRIAL TECHNOLOGY MANAGEMENT” during 26th – 28th November 2012 at University of Delhi, Delhi, India. 📈 Participated Two Days 2nd IEEE ICACCE International Conference on “ADVANCES IN COMPUTING AND COMMUNICATION ENGINEERING” during 1st -2nd May 2015 at Tula’s Institute Dehradun, Uttarakhand, India. 💻

Working Experience:

  • Assistant Professor, Computer Science & Engineering Department at Dr. A. P. J. Abdul Kalam Institute of Technology Tanakpur, Campus Institute of Veer Madho Singh Bhandari Uttarakhand Technical University, Dehradun, Since May 2023.

🏆 Awards:

Devbhumi Education Excellence Award 2023 Awarded By: Chief Minister Uttarakhand, Mr. Pushkar Singh Dhami Date: 27 November 2023 Young Alumni Award in Engineering 2024 Awarded By: Technical Education Minister Uttarakhand, Mr. Subodh Uniyal Date: 27 January 2024 Award for Excellence In Research Awarded By: EET CRS 7 Continents R&D Awards-24 Hyderabad Date: 10 March 2024

Publications Top Notes 📝

 

Article 1:

  • Title: Real-time monitoring of solid waste with customized hardware and Internet of Things
  • Authors: Joshi, L.M., Bharti, R.K., Singh, R., Malik, P.K.
  • Journal: Computers and Electrical Engineering
  • Year: 2022
  • Volume: 102
  • Page: 108262
  • Citations: 7

 

Article 2:

  • Title: Internet of things and machine learning-based approaches in urban solid waste management: Trends, challenges, and future directions
  • Authors: Joshi, L.M., Bharti, R.K., Singh, R.
  • Journal: Expert Systems
  • Year: 2022
  • Volume: 39
  • Issue: 5
  • Page: e12865
  • Citations: 9

 

Conference Paper 1:

  • Title: Role of various technology with the assessment of garbage management system in smart city
  • Authors: Joshi, L.M., Bharti, R., Singh, R.
  • Conference: Proceedings of 3rd International Conference on Intelligent Engineering and Management, ICIEM 2022
  • Year: 2022
  • Pages: 616–623
  • Citations: 0

 

Conference Paper 2:

  • Title: Cybersecurity issue and online information source
  • Authors: Joshi, L.M., Bharti, R.
  • Book: Advances in Intelligent Systems and Computing
  • Year: 2018
  • Volume: 624
  • Pages: 1707–1718
  • Citations: 0

 

Article 3:

  • Title: A research paper on cell phone technology
  • Author: Joshi, L.M.
  • Journal: International Journal of Grid and Distributed Computing
  • Year: 2016
  • Volume: 9
  • Issue: 10
  • Pages: 331–346
  • Citations: 0

 

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