Dr. Anand Nayyar
Also known as: Scientist, Researcher, Orator, Author, Innovator, Inventor, Cyber Security Expert, Wireless Communications Engineer
Research areas: Computer Science · Computer Networks and Communications · IoT and Edge/Fog Computing · Mobile Ad Hoc Networks · Energy Efficient Wireless Sensor Networks
0000-0002-9821-6146
About
Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science and Artificial Intelligence (SCA)-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 250+ Professional certifications from CISCO, Microsoft, CompTIA, Amazon, Alibaba Cloud, Oracle, Google, Salesforce, Tableau, FinOps, Beingcert, EXIN, GAQM, Cyberoam, ISQTB and many more. Published more than 300+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 100+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 80+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: (Google Scholar): 23000+, H-Index: 77 and I-Index: 317; (Scopus): 13000+; H-index: 60. Member of more than 60+ Associations as Senior and Life Member like: IEEE (Senior Member) and ACM (Senior Member). He has authored/co-authored cum Edited 80+ Books of Computer Science. Associated with more than 800+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has completed 1 Grassroot and 1 ASEAN Project. He has 18 Australian Patents, 16 German Patents, 4 Japanese Patents, 44 Indian Design cum Utility Patents, 13 UK Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT, Healthcare, Drones, Robotics and Image Processing. Awarded 60 Awards for Teaching and Research—Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022, 2022-2023, 2023-2024, Distinguished Scientist Award by National University of Singapore, Obada Prize 2023, Lifetime Achievement Award 2023, 2024; Asian Admirable Achievers 2024; Distinguished Academic Leader 2024, Lifetime Achievement Award 2024 and many more.
He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022, 2023, 2024, 2025), Ad Index (Rank No:1 Duy Tan University, Rank No:2 Computer Science in Viet Nam) and Listed on Research.com (Top Scientist of Computer Science in Viet Nam- National Ranking: 2; D-Index: 56; World Ranking: 3694).
He is acting as Associate Editor for Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Tech Science Press- IASC, Cogent Engineering, Human Centric Computing and Information Sciences (HCIS), IEEE Transactions on Artificial Intelligence (IEEE TAI), Indonesian Journal of Electrical Engineering and Computer Science, IJFC, IJISP, IJDST, IJCINI, IJGC, IJSIR, IJBDCN, IJNR, IJSI, IJIES. He is acting as Managing Editor of IGI-Global Journal, USA titled “International Journal of Knowledge and Systems Science (IJKSS)”. He has reviewed more than 6000+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
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Publications (607)
- ATEMA-TCP: A novel adaptive threshold-based TCP congestion control algorithm with multi-level decision Save
- EHEVO-L: Enhanced human evolutionary algorithm for robust feature selection and superior comprehensive optimization Save
- A novel 3D localization algorithm for mobile target nodes utilizing Lévy-flight enhanced adaptive butterfly optimization (LF-EABO) in wireless sensor networks Save
- A comprehensive survey of quantum computing approaches for portfolio optimization in FinTech Save
- ASG-LLM: An LLM-based pipeline for automated scraping code generation in security-sensitive environments Save
- DYPAL: Dynamic Privacy-Aware Split Learning for distributed medical imaging in IoMT networks Save
- MRS-Agent: A map-reduce framework for quantifiable schema grounding in Text-to-SQL Save
- A novel few-shot self-supervised contrastive framework for UAV-based rare pest detection Save
- Cosine function-based distance measures for circular intuitionistic fuzzy sets Save
- DE-SHAP: A meta-optimization framework leveraging differential evolution for efficient and scalable kernel SHAP explanations Save
- Comprehensive review of heart disease prediction: A comparative study from 2019 onwards Save
- SiamIDS: A novel cloud-centric Siamese Bi-LSTM framework for interpretable intrusion detection in large-scale IoT networks Save
- QA-SQL: query-augmented SQL generation using few-shot prompting with data augmentation Save
- ASG-LLM: An LLM-Based Pipeline for Automated Scraping Code Generation in Security-Sensitive Environments Save
- Are you hallucinated? Insights into large language models Save
- FRF-BiLSTM: Recognising and Mitigating DDoS Attacks through a Secure Decentralized Feature Optimized Federated Learning Approach Save
- From Detection to Decision Support: A Hybrid CNN-Transformer Model for Early Lung Cancer Screening Save
- Hca-fnd: a hybrid two-tiered approach for fake news detection using machine learning and natural language processing Save
- Hybrid CNN-Based Transformer Pipeline With Radiomic Fusion for Multi-Class Lung Cancer Detection Save
- Intelligent visible light positioning: A survey of machine learning for robust indoor localization and orientation estimation Save