Abdul Wahid | Computer Science | Research Excellence Award

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Dr. Abdul Wahid | Computer Science | Research Excellence Award

IIIT Dharwad, Karnataka | India

Dr. Abdul Wahid is an Assistant Professor at the Indian Institute of Information Technology Dharwad, specializing in Data Science, Machine Learning, Artificial Intelligence, and Multi-agent Systems. He earned his Ph.D. from the Indian Institute of Technology (ISM) Dhanbad and has held postdoctoral and research positions across leading European institutions, including the University of Galway and Télécom Paris. Dr. Wahid has authored over 15 peer-reviewed publications in high-impact journals and conferences, alongside a European patent in AI-based fraud detection. His research emphasizes intelligent systems for sustainable energy, agriculture, and cybersecurity, with notable international collaborations. Recognized with the IEEE Best Student Paper Award, he actively contributes as an organizer, editor, and speaker. His work advances real-world AI applications, promoting sustainable development and secure digital ecosystems globally.

Citation Metrics (Scopus)

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Citations
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Documents
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h-index
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🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Rania Hamdani | Computer science | Best Researcher Award

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Mrs. Rania Hamdani | Computer science | Best Researcher Award

Mrs. Rania Hamdani, University of Luxembourg, Luxembourg

Rania Hamdani is a research scientist specializing in operational research, data management, and cloud architecture for Industry 5.0. Based in Luxembourg, she is currently affiliated with the University of Luxembourg, where she explores advanced methodologies for integrating and managing heterogeneous data sources. She holds an engineering degree in Software Engineering and has extensive experience in software development, AI, and DevOps. Rania has worked on multiple industry and academic projects, publishing three research papers in Ontology-Driven Knowledge Management and Cloud-Edge AI. With a strong background in programming, cloud computing, and AI-driven solutions, she has contributed to platforms ranging from job recommendation systems to adaptive human-computer interaction systems. Her expertise includes Python, SpringBoot, Kubernetes, and Azure DevOps. She is also an active member of IEEE and other technical organizations, promoting innovation and knowledge-sharing in AI and cloud technologies. 🌍💻🔬

Publication Profile

Orcid

🎓 Education

Rania Hamdani holds an Engineering Degree in Software Engineering from the National Higher School of Engineers of Tunis (2021–2024), where she specialized in advanced design, service-oriented architecture, object-oriented programming, database management, and operational research. Prior to this, she completed a two-year preparatory cycle at the Preparatory Institute for Engineering Studies of Tunis (2019–2021), undertaking intensive coursework in mathematics, physics, and technology to prepare for engineering studies. She also earned a Mathematics-specialized Baccalaureate from Pioneer High School Bourguiba Tunis (2015–2019), graduating with honors. Throughout her academic journey, she gained expertise in artificial intelligence, machine learning, cloud computing, and DevOps methodologies. Her education provided a solid foundation in programming languages, data processing techniques, and full-stack development. Additionally, she holds multiple Microsoft certifications in Azure fundamentals, AI, data security, and compliance, reinforcing her expertise in cloud-based solutions and AI-driven applications. 📚🎓💡

💼 Experience

Rania Hamdani is a research scientist at the University of Luxembourg, where she focuses on integrating and managing heterogeneous data sources for cloud-based decision-making. Previously, she was a research intern at the same institution, contributing to Ontology-Driven Knowledge Management and Cloud-Edge AI, with three published papers. She also worked as a part-time software engineer at CareerBoosts in Quebec (2021–2025), specializing in Python, Azure DevOps, Docker, and test automation. She gained industry experience through internships at Qodexia (Paris), Sagemcom (Tunisia), and Tunisie Telecom, working on smart recruitment platforms, employee management systems, and server monitoring solutions using SpringBoot, Angular, and PostgreSQL. Her technical expertise spans full-stack development, DevOps, AI-driven applications, and cloud computing. She has contributed to major projects, including an adaptive human-computer interaction system, a job recommendation system, and a problem-solving platform, demonstrating her versatility in research and software engineering. 🚀🖥️🔍

🏆 Awards & Honors

Rania Hamdani has been recognized for her outstanding contributions to AI-driven cloud computing and operational research. She received excellence awards during her engineering studies at the National Higher School of Engineers of Tunis and was among the top-performing students in her Mathematics-specialized Baccalaureate. Her research papers in Ontology-Driven Knowledge Management and Cloud-Edge AI have been acknowledged in academic circles, contributing to the advancement of Industry 5.0 technologies. She has also earned multiple Microsoft certifications in cloud and AI fundamentals, reinforcing her technical expertise. As an active member of IEEE and the Youth and Science Association, she has been involved in technology outreach and innovation-driven initiatives. Her leadership in ENSIT Junior Enterprise as a project manager further showcases her ability to lead and contribute to tech communities. These recognitions highlight her dedication to research, software development, and cloud-based AI applications. 🏅📜🌟

🔬 Research Focus

Rania Hamdani’s research focuses on operational research, data management, cloud-edge AI, and Industry 5.0 applications. She specializes in ontology-driven knowledge management, exploring methodologies for integrating heterogeneous data sources to optimize cloud-based decision-making processes. Her work includes artificial intelligence, machine learning, reinforcement learning, and human-computer interaction systems. She has contributed to projects involving job recommendation systems, adaptive human-computer interaction platforms, and cloud-based problem-solving platforms. Rania is particularly interested in scalable cloud architectures, leveraging technologies like FastAPI, Kubernetes, Docker, and Azure DevOps to build efficient AI-powered solutions. Her research also integrates graph databases, Apache Airflow, and big data analytics for enhanced data processing. By combining AI and cloud computing, she aims to develop innovative, data-driven solutions for automation, decision support, and optimization in various industrial applications. Her expertise bridges the gap between theoretical research and real-world software engineering. ☁️🤖📊

 

Publication Top Notes

Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation

 

Dinesh Sharma | Computer Science | Best Researcher Award

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Dr. Dinesh Sharma | Computer Science | Best Researcher Award

Dr. Dinesh Sharma, Manipal University Jaipur, India

Dr. Dinesh Sharma holds a Ph.D. in Computer Science and Engineering from Uttarakhand and an M.E. from C-DAC, Pune. With over 14 years of experience in technical and engineering education, he currently serves as an Associate Professor at Manipal University Jaipur. He has published multiple patents, including innovations in animal wellbeing and waste management. Dr. Sharma is a technical committee member for various international conferences and has acted as a guest editor for respected journals. He is also an AICTE High-Performance Computing Master Trainer, dedicated to advancing technology in education. 🌍✨

 

Publication profile

Scopus

Qualification

Dr. Dinesh Sharma is an accomplished academic in the field of Computer Science and Engineering, holding a Ph.D. from Uttarakhand Technical University. He also earned a Master’s degree in CSE from C-DAC, Pune, and a Bachelor’s degree from R.G.P.V., Bhopal. With over 14 years of experience in technical education, he currently serves as an Associate Professor at Manipal University Jaipur. Dr. Sharma has a strong research background, with multiple patents and publications focusing on innovative technologies. His contributions to academia include serving as a reviewer for numerous journals and as a technical committee member for various international conferences. 🌍✨

 

Professional Achievements 🏆

Dr. Dinesh Sharma has made significant contributions to academia and industry, serving as a Guest Editor for a special issue on “Industrial System Pioneering in Industry 4.0” in the Journal of New Materials and Electrochemical Systems. He is an AICTE High-Performance Computing Master Trainer and has been invited as a session chair at numerous international conferences, including IEEE CSNT and CICN. Dr. Sharma coordinated a five-day Faculty Development Program on IoT at Amity University and served as an Associate Editor for Pragyan Journal of Information Technology. Additionally, he reviews for various SCI, IEEE, and Scopus-indexed journals. 🌐✨

 

Awards & Guided Projects 🏅

Dr. Dinesh Sharma has successfully mentored CSE students who achieved remarkable milestones, including securing international funding of $1,000 and $250 from Latrobe University Technology Grand Challenge, where one project also won the 1st runner-up prize. Under his guidance, Mr. Ashish Kumar Mishra developed a “Smart Attendance System,” earning 1st position in a national challenge organized by Amazon and receiving ₹35,000. Additionally, Ms. Priyanshi Gupta won ₹30,000 and the runner-up prize at the “Gwalior Smart City Tech Challenge 2020.” Dr. Sharma also led the development of the web conferencing platform “Bharat Live” for online activities. 🌍🎉

 

Professional Experience 📚

Dr. Dinesh Sharma brings over 14 years of expertise in technical and engineering education, specializing in software development with 8 years of freelance experience in C#, ASP.Net, PHP, Java, and Android app development. Currently, he serves as an Associate Professor in Data Science and Engineering at Manipal University Jaipur since August 2023, where he is also a software developer, KPI coordinator, and E-cell coordinator. Previously, he worked as an Assistant Professor at Amity University Madhya Pradesh and IMS Unison University, contributing significantly as a software developer and coordinator for various academic initiatives. His journey began as the Head of the Computer Science & Engineering Department at Amardeep College of Engineering and Management. 🎓💻

 

Conclusion

Dr. Dinesh Sharma’s qualifications, innovative research contributions, professional achievements, and mentorship make him an exemplary candidate for the Best Researcher Award. His commitment to advancing technology and educating future generations in the field of computer science is commendable, and he is well-deserving of this recognition.

 

Publication Top Notes

  • Neural network-based soil parameters predictive coordination algorithm for energy efficient wireless sensor network – Cited by: 0 (2024) 🐾
  • Automatic detection and classification of plant leaf diseases using image processing: A survey – Cited by: 1 (2023) 🌱
  • Enhancing Feature Extraction in Plant Image Analysis through a Multilayer Hybrid DCNN – Cited by: 0 (2023) 🖼️
  • Comparative Analysis of Skin Cancer Detection Using Classification Algorithms – Cited by: 1 (2023) 🎗️
  • Face Mask Detection Analysis for Covid19 Using CNN and Deep Learning – Cited by: 3 (2022) 😷
  • Energy Efficient Multitier Random DEC Routing Protocols for WSN: In Agricultural – Cited by: 18 (2021) 🌾
  • A new energy efficient multitier deterministic energy-efficient clustering routing protocol for wireless sensor networks – Cited by: 34 (2020) 💡
  • Comparative energy evaluation of lEACH protocol for monitoring soil parameter in wireless sensors network – Cited by: 7 (2018) 🌍
  • Enhance PeGASIS algorithm for increasing the life time of wireless sensor network – Cited by: 6 (2018) ⚡

Federico Iannacci | Information Systems | Best Researcher Award

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Dr. Federico Iannacci | Information Systems | Best Researcher Award

Dr. Federico Iannacci, University of Sussex, United Kingdom

Dr. Federico Iannacci appears to be a strong candidate for the Best Researcher Award based on his academic background and research contributions. Here are some key points that support his suitability for the award:

Publication profile

Extensive Academic Background:

Dr. Iannacci holds a PhD in Information Systems/Management from the London School of Economics, an MSc in Management from NJIT, and a degree in Economics and Finance from the University of Siena. This solid educational foundation has enabled him to excel in research and academia.

Significant Research Contributions:

Dr. Iannacci has published extensively in high-impact journals, including the Information Systems Journal, Journal of Information Technology, and European Management Review. His work focuses on information systems, digital technology in work environments, e-Government, and inter-organizational information sharing.

Editorial and Review Roles:

His role as a Senior Editor and former Associate Editor of the Information Systems Journal, as well as his involvement as a reviewer for various respected journals, underscores his expertise and recognition in the academic community.

Awards and Recognitions:

He has received awards such as the Golden Apple Award for teaching excellence and an LSE Research Studentship, reflecting his commitment to both research and education.

Professional Engagement:

Dr. Iannacci is actively involved in professional organizations like the Association for Information Systems (AIS) and the Qualitative Comparative Analysis (QCA) experts’ network. His participation in organizing conferences and serving as a track chair further highlights his active role in advancing his field.

Publication Top Notes

  • Information systems in the public sector: The e-Government enactment framework 📊 – A Cordella, F Iannacci – The Journal of Strategic Information Systems – Cited by: 441 – Year: 2010
  • Reappraising maturity models in e-Government research: The trajectory-turning point theory 📈 – F Iannacci, AP Seepma, C De Blok, A Resca – The Journal of Strategic Information Systems – Cited by: 89 – Year: 2019
  • Unravelling causal and temporal influences underpinning monitoring systems success: A typological approach 🔍 – F Iannacci, T Cornford – Information Systems Journal – Cited by: 57 – Year: 2018
  • When is an information infrastructure? Investigating the emergence of public sector information infrastructures 🏢 – F Iannacci – European Journal of Information Systems – Cited by: 57 – Year: 2010
  • Coordination processes in open source software development: The Linux case study 💻 – F Iannacci – Emergence: Complexity & Organization – Cited by: 53 – Year: 2005
  • Unpacking ostensive and performative aspects of organisational routines in the context of monitoring systems: A critical realist approach 🛠️ – F Iannacci, KS Hatzaras – Information and Organization – Cited by: 42 – Year: 2012
  • The Linux managing model 🐧 – F Iannacci – Valauskas, Edward J. – Cited by: 34 – Year: 2003
  • From acceptance to adaptive acceptance of social media policy change: A set-theoretic analysis of B2B SMEs 📱 – F Iannacci, C Fearon, K Pole – Information Systems Frontiers – Cited by: 33 – Year: 2021
  • Beyond markets and firms 🌐 – F Iannacci, E Mitleton-Kelly – Valauskas, Edward J. – Cited by: 27 – Year: 2005
  • The economics of open-source networks 🧮 – F Iannacci – Communications & Strategies – Cited by: 25 – Year: 2002
  • Routines, artefacts and technological change: investigating the transformation of criminal justice in England and Wales ⚖️ – F lannacci – Journal of Information Technology – Cited by: 23 – Year: 2014


Conclusion

Dr. Iannacci’s extensive research output, academic service, and recognition within his field make him a strong candidate for a Best Researcher Award.

Sureshkumar Chelladurai | Information Technology | Best Researcher Award

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Dr. Sureshkumar Chelladurai | Information Technology | Best Researcher Award

Dr. Sureshkumar Chelladurai, Vel Tech Rangarajan Dr Sangunthala R and D Institute of Science and Technology, India

Dr. Sureshkumar Chelladurai is a seasoned academic with over 12 years of experience in IT education. He currently serves as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology. Previously, he taught at Anna University, BIT campus, and Maha Barathi Engineering College. Dr. Chelladurai holds a Ph.D. in ICE from Anna University, an M.E. in CSE from Annamalai University, and a B.Tech in IT from SVCET, Tenkasi. His expertise spans programming languages, networks, cloud computing, operating systems, compiler design, and machine learning. 🚀📚

Publication Profile

Orcid

Experience 🧑‍🏫

Dr. Sureshkumar Chelladurai is a seasoned academic with a wealth of experience in teaching and research. He began his career as an Assistant Professor of IT at Maha Barathi Engineering College in Kallakurichi, Tamil Nadu, serving from June 2011 to July 2014, totaling 37 months. He then moved to Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, where he worked as a Teaching Fellow in IT from January 2015 to December 2023, accumulating 107 months of experience. Currently, Dr. Chelladurai holds the position of Assistant Professor of IT at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, starting in December 2024. With over 12.3 years of experience, Dr. Chelladurai has established himself as a dedicated and knowledgeable educator.

Education 🎓

Dr. Chelladurai’s academic journey is marked by significant achievements. He completed his Ph.D. in Instrumentation and Control Engineering from Anna University, Chennai, in 2023. Prior to this, he earned his M.E. in Computer Science and Engineering from Annamalai University, Chidambaram, in 2011, with a commendable OGPA of 7.9. He also holds a B.Tech in Information Technology from SVCET, Puliyangudi, Tenkasi, Tamil Nadu, graduating in 2008 with a percentage of 69. His early education includes a Higher Secondary Certificate (HSC) from H.N.U.C. Hr. Sec. School, Puliyangudi, with a percentage of 76 in 2003, and a Secondary School Leaving Certificate (SSLC) from the same institution, where he scored 86% in 2000.

Research Focus

Dr. Sureshkumar Chelladurai’s research primarily revolves around enhancing the efficiency and security of wireless sensor networks (WSNs). His work spans various crucial aspects, including reducing traffic overhead, developing adaptive frameworks for spatial data, and implementing secure trust-based group key generation algorithms. Additionally, he focuses on improving energy efficiency and intrusion detection within WSNs using advanced techniques like fuzzy-based authentication and clustering. Dr. Chelladurai’s contributions significantly impact areas such as networks, cloud computing, machine learning, and cybersecurity, aiming to create more robust and efficient network systems. 🌐🔐📡

 

Publication Top Notes

  • Adaptive Graphical Routing Methodology for Reducing Traffic Overhead in Wireless Sensor Networks 🛤️📡
    • Publication: Signal, Image and Video Processing
    • Year: 2023
    • DOI: 10.1007/s11760-023-02834-2
    • Contributors: C. Sureshkumar, S. Sabena, L. Sai Ramesh
    • Cited by: –
  • Design of an Adaptive Framework with Compressive Sensing for Spatial Data in Wireless Sensor Networks 🖼️🌐
    • Publication: Inventive Computation and Information Technologies
    • Year: 2021Secure Trust-Based Group Key Generation Algorithm for Heterogeneous Mobile Wireless Sensor Networks 🔑📱
    • Contributors: S. Sabena, C. Sureshkumar, L. Sai Ramesh, A. Ayyasamy
  • Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks 🔐🌿
    • Publication: Wireless Personal Communications
    • Year: 2020
    • DOI: 10.1007/s11277-020-07113-8
    • Contributors: C. Sureshkumar, S. Sabena
  • Time of Development and Fitness Analysis of Modified COCOMOII Model for Software Projects 🕒💻
    • Publication: International Journal of Recent Technology and Engineering
    • Year: 2019
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • Diagnosis Prognosis and Prevention of Breast Cancer Based on Present Scenario of Human Life 🎗️👩‍⚕️
    • Publication: Proceedings – 2018 International Conference on Communication, Information and Computing Technology, ICCICT 2018
    • Year: 2018
    • Contributors: Isaac, L.D., Sureshkumar, C.
  • An Efficient Intrusion Detection System for Cyber Attack using Multi-Tier Application 🔍💼
    • Publication: INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT)
    • Year: 2018
    • Contributors: Dr. Sureshkumar C
  • Effort Estimation of Software Projects with Optimized Coefficients using Soft Computing Technique 🧮📊
    • Publication: 2017 Conference on Emerging Devices and Smart Systems, ICEDSS 2017
    • Year: 2017
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • An Optimized Image Denoising in Impulse Noise Images using Firefly-Based Parallel Type 2 Fuzzy Filtering Approaches 📸✨
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: Revathi, D., Sureshkumar, C.
  • Solution to Uncertainty Using Random Forests for Predicting Mobile User Behavior 📱🔮
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: K Kandasamy, C Sureshkumar