Staff profile

Dr. Anish Jindal is an Associate Professor in the Department of Computer Science at Durham University since July 2024, a fellow of Durham Energy Institute, and a visiting fellow in the Department of Electrical and Computer Engineering at Princeton University, USA. Before this, he worked as an Assistant Professor in Computer Science at Durham University, UK (Jan. 2022 - June 2024), a Lecturer in CSEE, University of Essex (Apr. 2020 - Dec. 2021), and a Senior Research Associate at the School of Computing & Communications, Lancaster University, UK (Oct. 2018 - Mar. 2020). He completed his Ph.D., M.Engg., and B. Tech. degrees from India in computer science engineering in 2018, 2014, and 2012, respectively. He is the recipient of the Outstanding Ph.D. Dissertation Award, 2019 from the IEEE Technical Committee on Scalable Computing (TCSC), the IEEE Communication Society's Outstanding Young Researcher Award for Europe, Middle East, and Africa (EMEA) Region, 2019, and conferred with the IEEE Hyper-intelligence Technical Committee (HITC) Award for Excellence (Early Career Researcher) 2023. He was a visiting researcher at OFFIS - Institute for Information Technology, Germany in 2019.

His research interests are in smart cities, data analytics, artificial intelligence, cyber-physical systems, wireless networks, and security. Some of the particular aspects of his research relate to resource-aware computing, energy optimization, programmable and scalable networking, and wireless network & security. He is one of the Co-Is for the EPSRC's £3M early communications hub, CHEDDAR (EP/X040518/1) and DSIT's £8.5M CHEDDAR TMF uplift (EP/Y037421/1), EPSRC's £10M National Edge AI Hub for Real Data: Edge Intelligence for Cyber-disturbances and Data Quality (EP/Y028813/1),  UKRI's £1.84M AI for Net Zero grant, VPP-WARD (EP/Y005376/1). Apart from these, he is PI and Co-I of several fundings received from UK Research and Innovation (GCRF), Innovate UK (KTP), The Royal Society (International Exchanges), British Council (Going Global Partnerships), Alumnode, Durham Seed Corn, and startup grant for some of his research ideas.

Many of his research findings are published in top-cited journals such as IEEE JSAC, IEEE TSC, IEEE TII, IEEE TIE, IEEE TVT, IEEE TITS, IEEE TNSE, IEEE TCE, IEEE TGCN, IEEE JBHI, IEEE Communication Magazine, IEEE Network, IEEE IoTJ, Future Generation Computer Systems, Ad-hoc Networks, and Computer Networks. In addition to it, his research works have also been presented at various conferences of repute such as IEEE ICC, IEEE Globecom, IEEE WiMob, IEEE PES General Meeting, ACM MobiHoc, etc. He has served as General co-chair, TPC co-chair, TPC member, Publicity chair and Session chair of various reputed conferences and workshops including IEEE ICC, IEEE WoWMoM, IEEE INFOCOM, IEEE COINS, and IEEE GLOBECOM. He is also the guest editor of various journals including Software: Practice and Experience (Wiley), Neural Computing & Applications (Springer), Computer Communications (Elsevier), IET Smart Cities (IET), and IJCS (Wiley). He has also delivered many invited talks and lectures in various international avenues. He is an environment champion for Durham Greenspace and a member of the ACM and IEEE. He is actively involved with various working groups and committees of IEEE and ACM related to smart grids, energy informatics, and smart cities.

Ongoing research calls

Research contributions are invited from prospective authors for the ongoing special calls:

- There are no open calls at the moment.

Open positions

Always looking for highly motivated Ph.D. students having aligned research interests. Prospective students are encouraged to contact me by email with their CV and a brief outline of their vision. (Some competitively funded studentships will be available for exceptional candidates by March 2024 for which an early discussion is advised.)

For research internships, please follow the university guidelines.

Research Groups

• NESTiD: Network Engineering, Science and Theory in Durham
• DEI: Durham Energy Institute

Useful links

You can check my profile on Google Scholar, ResearchGate, DBLP, or LinkedIn.

• Data analytics
• Smart City Applications (smart homes, smart grids, healthcare, transportation, etc.)
• Artificial intelligence and Machine Learning
• Cyber-physical systems and Internet-of-things
• Programmable and scalable networking
• Resource aware computing
• Wireless network & security
• Energy optimization

• 2024: Guest Speaker at The Knowledge Hub Universities (TKH), Egypt:
• 2024: Workshop speaker: UK-India Workshop on Electric Vehicle Charging Infrastructure, Security, and Data Analytics
• 2023: Panel discussion on the ‘Future of the AI’ at St. Chad’s College Durham:
• 2023: Technical committee member: ComCom journal (Elsevier)
• 2023: Visiting Fellow: Department of Electrical and Computer Engineering, Princeton University, USA
• 2023: External Examiner: University of West of Scotland
• 2022: Keynote lecture:  in “Low Carbon and Sustainable Computing Seminar” series at the University of Glasgow, UK.
• 2022: Keynote lecture: Short term training program on Tomorrow's Electrical Power Grid for SFIT Mumbai, India during 03-07 Jan. 2022.
• 2022: Visiting Fellow: School of Computer Science and Electronic Engineering, University of Essex
• 2021: Book: Internet of Energy for Smart CIties: Machine Learning Models and Techniques published by CRC Press.
• 2021: FHEA: Fellowship of the HEA (FHEA), from Advance HE.
• 2021: Guest Editor: Special Issue in Software: Practice and Experience (Wiley) on Resource management of IoT edge devices: Challenges, techniques, and solutions.
• 2021: Guest Editor: Topical Collection in Neural Computing and Applications (Springer) on Deep Neuro-Fuzzy Analytics for Intelligent Big Data Processing in Smart Ecosystems.
• 2020: Expert committee member: CONFIRM centre, Ireland for selection of Postdoctoral level candidates co-funded by MSCA and SMART 4.0.
• 2020: AFHEA: Associate Fellowship of the HEA (AFHEA), from Advance HE.
• 2020: Keynote Speaker: IEEE INFOCOM 2020 Workshop - BlockSecSDN: Blockchain for Secure Software Defined Networking in Smart Communities.
• 2020: Guest Editor: Special Issue in Computer Communications (Elsevier) on Network Management in Beyond 5G/6G Networks.
• 2019: Young Researcher Award: IEEE Communication Society's Outstanding Young Researcher Award for Europe, Middle East, and Africa (EMEA).
• 2019: Visiting Researcher: OFFIS - Institute for Information Technology, Germany during Oct. 2019.
• 2019: Talk in Ph.D. Forum: IEEE Computational Intelligence Society held at IEEE Smart World Congress, Leicester, UK during 19-23 Aug. 2019.
• 2019: Selection in HLF: Selected as one of the young researchers to participate in the coveted ACM’s 7th Heidelberg Laureate Forum (HLF), Germany.
• 2019: Outstanding PhD Award: IEEE Technical Committee on Scalable Computing (TCSC) Outstanding Ph.D. Dissertation Award.
• 2019: Keynote lecture: Summer School on Smart cities for a Sustainable Energy Future - From Design to Practice at TU, Berlin, Germany during 19-30 Aug. 2019.
• 2016: Best Paper: Research paper selected as one of the best conference papers in IEEE PES GM, Boston, USA.
• 2000: Workshops Organised:
  • 2023: IEEE CSR Workshop on Data Science for Cyber Security (DS4CS) in conjunction with IEEE International Conference on Cyber Security and Resilience (IEEE CSR), July 31 - 2 Aug, Venice, Italy.
  • 2020-23: Workshop series on "Smart Computing for Smart Cities" in conjunction with IEEE WoWMoM in 2020, 2021, 2022, 2023.
  • 2022: 3rd IEEE International Workshop on Network Management for 6G Communication Systems (NetMan6G) in conjunction with IEEE GLOBECOM 2022, Brazil.
  • 2022: 2nd Workshop on "BlockSecSDN: Blockchain for Secure Software-defined Networking in Smart Communities" in conjunction with IEEE ICC 2022. 
  • 2021: 1st International Workshop on Blockchain for Smart Cyber-Physical Systems (BlockCPS2021) in conjunction with IEEE/ACM UCC 2021.
  • 2021: 2nd Workshop on Network Management for 6G Communication Systems (NetMan6G) in conjunction with IEEE Globecom 2021.
  • 2020: Program Chair for 6th IEEE International Conference on Smart Data (SmartData).

Authored book

• Big Data Analytics: Theory, Techniques, Platforms, and Applications
  
  Demirbaga, Ümit, Aujla, G. S., Jindal, A., & Kalyon, O. (2024). Big Data Analytics: Theory, Techniques, Platforms, and Applications. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-55639-5

Conference Paper

• Leveraging Digital Twins for Anomaly Detection and Adaptive Healing in Software-defined IoT
  
  Singh, A., Aujla, G., Jindal, A., Sun, H., & Aslam, N. (in press). Leveraging Digital Twins for Anomaly Detection and Adaptive Healing in Software-defined IoT. Presented at IEEE International Conference on Communications, Montreal, Canada.
• Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum
  
  Dua, A., Singh Aujla, G., Jindal, A., & Sun, H. (in press). Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum. Presented at IEEE Global Communications Conference - Workshop on Next-Gen Healthcare Fusion (NgHF): AI-driven Secure Integrated Networks for Healthcare IoT Systems, Cape Town, South Africa.
• COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks
  
  Singh Aujla, G., Jindal, A., Kaur, K., Garg, S., Chaudhary, R., Sun, H., & Kumar, N. (in press). COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada.
• Automated Artificial Intelligence Framework for Anomaly Detection in Healthcare SD-IoT Networks
  
  Algamdi, H., Aujla, G. S., Singh, A., Jindal, A., & Trehan, A. (2025). Automated Artificial Intelligence Framework for Anomaly Detection in Healthcare SD-IoT Networks. In GLOBECOM 2024 - 2024 IEEE Global Communications Conference (pp. 3503-3508). IEEE. https://doi.org/10.1109/GLOBECOM52923.2024.10901410
• A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control
  
  Khanam, Z., Achari, V., Boukhennoufa, I., Jindal, A., & Singh, A. K. (2024). A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control. In Open Access Series in Informatics (OASIcs) (pp. 2:1-2:10). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.NG-RES.2024.2
• A Simulation-based Decision Support System for Urban Traffic Management
  
  Calvio, A., Jindal, A., Bujari, A., Aujla, G. S., & Foschini, L. (2023). A Simulation-based Decision Support System for Urban Traffic Management. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) (pp. 128-133). IEEE. https://doi.org/10.1109/camad59638.2023.10478428
• Intrusion Detection in Critical SD-IoT Ecosystem
  
  Algamdi, H., Aujla, G. S., Jindal, A., & Trehan, A. (2023). Intrusion Detection in Critical SD-IoT Ecosystem. In 2023 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 1559-1564). IEEE. https://doi.org/10.1109/iccworkshops57953.2023.10283685
• Referenced Blockchain Approach for Road Traffic Monitoring in a Smart City using Internet of Drones
  
  Singh, M. P., Singh, A., Aujla, G. S., Singh Bali, R., & Jindal, A. (2022). Referenced Blockchain Approach for Road Traffic Monitoring in a Smart City using Internet of Drones. Presented at ICC 2022 - IEEE International Conference on Communications, Seoul, Republic of Korea. https://doi.org/10.1109/icc45855.2022.9838264
• Data-driven Energy Theft Detection in Modern Power Grids
  
  Althobaiti, A., Jindal, A., & Marnerides, A. K. (2021). Data-driven Energy Theft Detection in Modern Power Grids. Presented at Proceedings of the Twelfth ACM International Conference on Future Energy Systems. https://doi.org/10.1145/3447555.3464852
• Clustering-based Redundancy Minimization for Edge Computing in Future Core Networks
  
  Perveen, A., Abozariba, R., Patwary, M., Aneiba, A., & Jindal, A. (2021). Clustering-based Redundancy Minimization for Edge Computing in Future Core Networks. Presented at 2021 IEEE 4th 5G World Forum (5GWF). https://doi.org/10.1109/5gwf52925.2021.00086
• I2UTS: An IoT based Intelligent Urban Traffic System
  
  Suresh Achari, V. P., Khanam, Z., Singh, A. K., Jindal, A., Prakash, A., & Kumar, N. (2021). I2UTS: An IoT based Intelligent Urban Traffic System. Presented at 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR). https://doi.org/10.1109/hpsr52026.2021.9481822
• Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios
  
  Singh, M., Aujla, G. S., Bali, R. S., Vashisht, S., Singh, A., & Jindal, A. (2020, September). Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios. Presented at Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, London, United Kingdom. https://doi.org/10.1145/3414045.3415937
• An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment
  
  Kumar, N., Dhand, T., Jindal, A., Aujla, G. S., Cao, H., & Yang, L. (2020). An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment. Presented at 2020 IEEE 21st International Symposium on ’A World of Wireless, Mobile and Multimedia Networks’ (WoWMoM). https://doi.org/10.1109/wowmom49955.2020.00066
• SCADA-agnostic Power Modelling for Distributed Renewable Energy Sources
  
  Althobaiti, A., Jindal, A., & Marnerides, A. K. (2020). SCADA-agnostic Power Modelling for Distributed Renewable Energy Sources. Presented at 2020 IEEE 21st International Symposium on ’A World of Wireless, Mobile and Multimedia Networks’ (WoWMoM). https://doi.org/10.1109/wowmom49955.2020.00070
• Ukko: Resilient DRES management for Ancillary Services using 5G service orchestration
  
  Rotsos, C., Marnerides, A. K., Magzoub, A., Jindal, A., McCherry, P., Bor, M., Vidler, J., & Hutchison, D. (2020). Ukko: Resilient DRES management for Ancillary Services using 5G service orchestration. Presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). https://doi.org/10.1109/smartgridcomm47815.2020.9302980
• Tackling Energy Theft in Smart Grids through Data-driven Analysis
  
  Jindal, A., Schaeffer-Filho, A., Marnerides, A. K., Smith, P., Mauthe, A., & Granville, L. (2020). Tackling Energy Theft in Smart Grids through Data-driven Analysis. Presented at 2020 International Conference on Computing, Networking and Communications (ICNC). https://doi.org/10.1109/icnc47757.2020.9049793
• Communication Standards for Distributed Renewable Energy Sources Integration in Future Electricity Distribution Networks
  
  Jindal, A., Marnerides, A. K., Gouglidis, A., Mauthe, A., & Hutchison, D. (2019). Communication Standards for Distributed Renewable Energy Sources Integration in Future Electricity Distribution Networks. Presented at ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp.2019.8682207
• DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem
  
  Aujla, G. S., Jindal, A., Chaudhary, R., Kumar, N., Vashist, S., Sharma, N., & Obaidat, M. S. (2019). DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem. Presented at ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China. https://doi.org/10.1109/icc.2019.8761416
• Identifying Security Challenges in Renewable Energy Systems
  
  Jindal, A., Marnerides, A. K., Scott, A., & Hutchison, D. (2019). Identifying Security Challenges in Renewable Energy Systems. Presented at Proceedings of the Tenth ACM International Conference on Future Energy Systems. https://doi.org/10.1145/3307772.3330154
• EnergyChain: Enabling Energy Trading for Smart Homes using Blockchains in Smart Grid Ecosystem
  
  Aggarwal, S., Chaudhary, R., Aujla, G. S., Jindal, A., Dua, A., & Kumar, N. (2018). EnergyChain: Enabling Energy Trading for Smart Homes using Blockchains in Smart Grid Ecosystem. Presented at Proceedings of the 1st ACM MobiHoc Workshop on Networking and Cybersecurity for Smart Cities - SmartCitiesSecurity’18, Los Angeles, USA. https://doi.org/10.1145/3214701.3214704
• SLOPE: A Self Learning Optimization and Prediction Ensembler for Task Scheduling
  
  Kapoor, L., Jindal, A., Benslimane, A., Aujla, G. S., Chaudhary, R., Kumar, N., & Zomaya, A. Y. (2018). SLOPE: A Self Learning Optimization and Prediction Ensembler for Task Scheduling. Presented at 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). https://doi.org/10.1109/wimob.2018.8589108
• LEASE: Lattice and ECC-Based Authentication and Integrity Verification Scheme in E-Healthcare
  
  Dua, A., Chaudhary, R., Singh Aujla, G., Jindal, A., Kumar, N., & Rodrigues, J. J. (2018). LEASE: Lattice and ECC-Based Authentication and Integrity Verification Scheme in E-Healthcare. Presented at 2018 IEEE Global Communications Conference (GLOBECOM). https://doi.org/10.1109/glocom.2018.8648089
• Sustainable Smart Energy Cyber-Physical System: Can Electric Vehicles Suffice Its Needs?
  
  Jindal, A., Aujla, G. S., Kumar, N., & Misra, S. (2018). Sustainable Smart Energy Cyber-Physical System: Can Electric Vehicles Suffice Its Needs?. Presented at 2018 IEEE International Conference on Communications Workshops (ICC Workshops), Kansas City, USA. https://doi.org/10.1109/iccw.2018.8403555
• DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR
  
  Jindal, A., Aujla, G. S., Kumar, N., Prodan, R., & Obaidat, M. S. (2018). DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR. Presented at 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates. https://doi.org/10.1109/glocom.2018.8647926
• RoVAN: A Rough Set-based Scheme for Cluster Head Selection in Vehicular Ad-hoc Networks
  
  Dua, A., Sharma, P., Ganju, S., Jindal, A., Aujla, G. S., Kumar, N., & Rodrigues, J. J. (2018). RoVAN: A Rough Set-based Scheme for Cluster Head Selection in Vehicular Ad-hoc Networks. Presented at 2018 IEEE Global Communications Conference (GLOBECOM). https://doi.org/10.1109/glocom.2018.8647576
• An efficient fuzzy rule-based big data analytics scheme for providing healthcare-as-a-service
  
  Jindal, A., Dua, A., Kumar, N., Vasilakos, A. V., & Rodrigues, J. J. (2017). An efficient fuzzy rule-based big data analytics scheme for providing healthcare-as-a-service. Presented at 2017 IEEE International Conference on Communications (ICC). https://doi.org/10.1109/icc.2017.7996965
• A data analytical approach using support vector machine for demand response management in smart grid
  
  Jindal, A., Kumar, N., & Singh, M. (2016). A data analytical approach using support vector machine for demand response management in smart grid. Presented at 2016 IEEE Power and Energy Society General Meeting (PESGM). https://doi.org/10.1109/pesgm.2016.7741457
• SDN-Based Data Center Energy Management System Using RES and Electric Vehicles
  
  Aujla, G. S., Jindal, A., Kumar, N., & Singh, M. (2016). SDN-Based Data Center Energy Management System Using RES and Electric Vehicles. Presented at 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA. https://doi.org/10.1109/glocom.2016.7842243
• A novel smart meter for better control over devices including electric vehicles and to enable smart use of power in smart home
  
  Arora, N. N., Jindal, A., Singh, M., Kumar, N., & Kumar, P. (2015). A novel smart meter for better control over devices including electric vehicles and to enable smart use of power in smart home. Presented at 2015 IEEE International Transportation Electrification Conference (ITEC). https://doi.org/10.1109/itec-india.2015.7386924

Conference Proceeding

• Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks
  
  Dua, A., Jindal, A., Singh Aujla, G., & Sun, H. (in press). Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada.
• Session details: 1st International Workshop on Blockchain for Smart Cyber-Physical Systems (BlockCPS)
  
  Aujla, G. S., & Jindal, A. (Eds.). (2021). Session details: 1st International Workshop on Blockchain for Smart Cyber-Physical Systems (BlockCPS). ACM. https://doi.org/10.1145/3517183

Edited book

• Internet of Energy for Smart Cities: Machine Learning Models and Techniques
  
  Jindal, A., Kumar, N., & Aujla, G. S. (Eds.). (2021). Internet of Energy for Smart Cities: Machine Learning Models and Techniques. CRC Press.

Journal Article

• Optimizing UAV-Assisted Vehicular Edge Computing With Age of Information: A SAC-Based Solution
  
  Goudarzi, S., Soleymani, S. A., Anisi, M. H., Jindal, A., & Xiao, P. (2025). Optimizing UAV-Assisted Vehicular Edge Computing With Age of Information: A SAC-Based Solution. IEEE Internet of Things Journal, 12(5), 4555-4569. https://doi.org/10.1109/jiot.2025.3529836
• Scalable and Reliable Data Framework for Sensor-enabled Virtual Power Plant Digital Twin
  
  Singh, A., Demirbaga, U., Singh Aujla, G., Jindal, A., Jiang, J., & Sun, H. (2025). Scalable and Reliable Data Framework for Sensor-enabled Virtual Power Plant Digital Twin. IEEE Journal of Selected Areas in Sensors, 2, 108-120. https://doi.org/10.1109/JSAS.2025.3540956
• CIDER: Cyber‐Security in Industrial IoT Using Deep Learning and Ring Learning with Errors
  
  Tsoi, S. T., & Jindal, A. (2025). CIDER: Cyber‐Security in Industrial IoT Using Deep Learning and Ring Learning with Errors. IET Cyber‐Physical Systems: Theory & Applications, 10(1), Article e70015. https://doi.org/10.1049/cps2.70015
• A Vision of 6G URLLC: Physical-Layer Technologies and Enablers
  
  Pourkabirian, A., Kordafshari, M. S., Jindal, A., & Anisi, M. H. (2024). A Vision of 6G URLLC: Physical-Layer Technologies and Enablers. IEEE Communications Standards Magazine, 8(2), 20-27. https://doi.org/10.1109/mcomstd.0003.2300018
• Smart Multimodal In-Bed Pose Estimation Framework Incorporating Generative Adversarial Neural Network
  
  Singh, S., Anisi, M. H., Jindal, A., & Jarchi, D. (2024). Smart Multimodal In-Bed Pose Estimation Framework Incorporating Generative Adversarial Neural Network. IEEE Journal of Biomedical and Health Informatics, 28(6), 3379-3388. https://doi.org/10.1109/jbhi.2024.3384453
• Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems
  
  Goudarzi, S., Soleymani, S. A., Anisi, M. H., Jindal, A., Dinmohammadi, F., & Xiao, P. (2024). Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems. IEEE Transactions on Consumer Electronics, 70(1), 1471-1481. https://doi.org/10.1109/tce.2023.3328949
• Health Monitoring and Diagnosis for Geo-Distributed Edge Ecosystem in Smart City
  
  Wen, W., Demirbaga, U., Singh, A., Jindal, A., Batth, R. S., Zhang, P., & Aujla, G. S. (2023). Health Monitoring and Diagnosis for Geo-Distributed Edge Ecosystem in Smart City. IEEE Internet of Things Journal, 10(21), 18571-18578. https://doi.org/10.1109/jiot.2023.3247640
• Secure and Intelligent Service Function Chain for Sustainable Services in Healthcare Cyber Physical Systems
  
  Cao, H., Jindal, A., Hu, H., Piran, M. J., & Yang, L. (2023). Secure and Intelligent Service Function Chain for Sustainable Services in Healthcare Cyber Physical Systems. IEEE Transactions on Network Science and Engineering, 10(5), 2674-2684. https://doi.org/10.1109/tnse.2022.3189546
• An accurate RSS/AoA-based localization method for internet of underwater things
  
  Pourkabirian, A., Kooshki, F., Anisi, M. H., & Jindal, A. (2023). An accurate RSS/AoA-based localization method for internet of underwater things. Ad Hoc Networks, 145, Article 103177. https://doi.org/10.1016/j.adhoc.2023.103177
• A Privacy-Preserving Authentication Scheme for Real-time Medical Monitoring Systems
  
  Soleymani, S. A., Goudarzi, S., Anisi, M. H., Jindal, A., Kama, N., & Ismail, S. A. (2023). A Privacy-Preserving Authentication Scheme for Real-time Medical Monitoring Systems. IEEE Journal of Biomedical and Health Informatics, 27(5), 2314-2322. https://doi.org/10.1109/jbhi.2022.3143207
• A Blockchain-Based Authentication Scheme and Secure Architecture for IoT-Enabled Maritime Transportation Systems
  
  Zhang, P., Wang, Y., Aujla, G. S., Jindal, A., & Al-Otaibi, Y. D. (2023). A Blockchain-Based Authentication Scheme and Secure Architecture for IoT-Enabled Maritime Transportation Systems. IEEE Transactions on Intelligent Transportation Systems, 24(2), 2322-2331. https://doi.org/10.1109/tits.2022.3159485
• Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud supported FinTech Applications
  
  Ren, X., Aujla, G. S., Jindal, A., Batth, R. S., & Zhang, P. (2023). Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud supported FinTech Applications. IEEE Internet of Things Journal, 10(3), 2112-2120. https://doi.org/10.1109/jiot.2021.3064468
• TRUTH: Trust and Authentication Scheme in 5G-IIoT
  
  Soleymani, S. A., Goudarzi, S., Anisi, M. H., Cruickshank, H., Jindal, A., & Kama, N. (2023). TRUTH: Trust and Authentication Scheme in 5G-IIoT. IEEE Transactions on Industrial Informatics, 19(1), 880-889. https://doi.org/10.1109/tii.2022.3174718
• Energy-Efficient Virtual Resource Allocation of Slices in Vehicles-Assisted B5G Networks
  
  Cao, H., Zhao, H., Jindal, A., Aujla, G. S., & Yang, L. (2022). Energy-Efficient Virtual Resource Allocation of Slices in Vehicles-Assisted B5G Networks. IEEE Transactions on Green Communications and Networking, 6(3), 1408-1417. https://doi.org/10.1109/tgcn.2022.3159227
• Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity
  
  Rahman, A. U., Fourati, F., Ngo, K., Jindal, A., & Alouini, M. (2022). Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity. IEEE Communications Letters, 26(4), 783-787. https://doi.org/10.1109/lcomm.2022.3146606
• A Decoupled Blockchain Approach for Edge-envisioned IoT-based Healthcare Monitoring
  
  Aujla, G. S., & Jindal, A. (2021). A Decoupled Blockchain Approach for Edge-envisioned IoT-based Healthcare Monitoring. IEEE Journal on Selected Areas in Communications., 39(2), 491-499. https://doi.org/10.1109/jsac.2020.3020655
• Energy Theft in Smart Grids: A Survey on Data-Driven Attack Strategies and Detection Methods
  
  Althobaiti, A., Jindal, A., Marnerides, A. K., & Roedig, U. (2021). Energy Theft in Smart Grids: A Survey on Data-Driven Attack Strategies and Detection Methods. IEEE Access, 9. https://doi.org/10.1109/access.2021.3131220
• Aerial Base Station Assisted Cellular Communication: Performance and Trade-Off
  
  Sharma, N., Kumar, A., Pervaiz, H., Magarini, M., Musavian, L., Alam, M. M., Jindal, A., & Imran, M. A. (2021). Aerial Base Station Assisted Cellular Communication: Performance and Trade-Off. IEEE Transactions on Network Science and Engineering, 8(4). https://doi.org/10.1109/tnse.2021.3052984
• E2DA: Energy Efficient Data Aggregation and End-to-End Security in 3D Reconfigurable WSN
  
  Ramasamy, K., Anisi, M. H., & Jindal, A. (2021). E2DA: Energy Efficient Data Aggregation and End-to-End Security in 3D Reconfigurable WSN. IEEE Transactions on Green Communications and Networking, 6(2), 787-798. https://doi.org/10.1109/tgcn.2021.3126786
• PACMAN: Privacy-Preserving Authentication Scheme for Managing Cybertwin-based 6G Networking
  
  Soleymani, S. A., Goudarzi, S., Anisi, M. H., Movahedi, Z., Jindal, A., & Kama, N. (2021). PACMAN: Privacy-Preserving Authentication Scheme for Managing Cybertwin-based 6G Networking. IEEE Transactions on Industrial Informatics, 18(7), 4902-4911. https://doi.org/10.1109/tii.2021.3121505
• FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network
  
  Saleem, A., Khan, A., Malik, S. U. R., Pervaiz, H., Malik, H., Alam, M., & Jindal, A. (2020). FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network. IEEE Internet of Things Journal, 7(7). https://doi.org/10.1109/jiot.2019.2957314
• A flexible ICT architecture to support ancillary services in future electricity distribution networks: an accounting use case for DSOs
  
  Jindal, A., Kronawitter, J., Kühn, R., Bor, M., de Meer, H., Gouglidis, A., Hutchison, D., Marnerides, A. K., Scott, A., & Mauthe, A. (2020). A flexible ICT architecture to support ancillary services in future electricity distribution networks: an accounting use case for DSOs. Energy Informatics, 3(1). https://doi.org/10.1186/s42162-020-00111-x
• A Heuristic-Based Appliance Scheduling Scheme for Smart Homes
  
  Jindal, A., Bhambhu, B. S., Singh, M., Kumar, N., & Naik, K. (2020). A Heuristic-Based Appliance Scheduling Scheme for Smart Homes. IEEE Transactions on Industrial Informatics, 16(5). https://doi.org/10.1109/tii.2019.2912816
• GUARDIAN: Blockchain-Based Secure Demand Response Management in Smart Grid System
  
  Jindal, A., Aujla, G. S., Kumar, N., & Villari, M. (2020). GUARDIAN: Blockchain-Based Secure Demand Response Management in Smart Grid System. IEEE Transactions on Services Computing, 13(4). https://doi.org/10.1109/tsc.2019.2962677
• Internet of energy-based demand response management scheme for smart homes and PHEVs using SVM
  
  Jindal, A., Kumar, N., & Singh, M. (2020). Internet of energy-based demand response management scheme for smart homes and PHEVs using SVM. Future Generation Computer Systems, 108. https://doi.org/10.1016/j.future.2018.04.003
• A unified framework for big data acquisition, storage, and analytics for demand response management in smart cities
  
  Jindal, A., Kumar, N., & Singh, M. (2020). A unified framework for big data acquisition, storage, and analytics for demand response management in smart cities. Future Generation Computer Systems, 108. https://doi.org/10.1016/j.future.2018.02.039
• BEST: Blockchain-based secure energy trading in SDN-enabled intelligent transportation system
  
  Chaudhary, R., Jindal, A., Aujla, G. S., Aggarwal, S., Kumar, N., & Choo, K. R. (2019). BEST: Blockchain-based secure energy trading in SDN-enabled intelligent transportation system. Computers & Security, 85. https://doi.org/10.1016/j.cose.2019.05.006
• SURVIVOR: A blockchain based edge-as-a-service framework for secure energy trading in SDN-enabled vehicle-to-grid environment
  
  Jindal, A., Aujla, G. S., & Kumar, N. (2019). SURVIVOR: A blockchain based edge-as-a-service framework for secure energy trading in SDN-enabled vehicle-to-grid environment. Computer Networks, 153. https://doi.org/10.1016/j.comnet.2019.02.002
• Consumption-Aware Data Analytical Demand Response Scheme for Peak Load Reduction in Smart Grid
  
  Jindal, A., Singh, M., & Kumar, N. (2018). Consumption-Aware Data Analytical Demand Response Scheme for Peak Load Reduction in Smart Grid. IEEE Transactions on Industrial Electronics, 65(11). https://doi.org/10.1109/tie.2018.2813990
• An Obstacle Detection Method for Visually Impaired Persons by Ground Plane Removal Using Speeded-Up Robust Features and Gray Level Co-Occurrence Matrix
  
  Jindal, A., Aggarwal, N., & Gupta, S. (2018). An Obstacle Detection Method for Visually Impaired Persons by Ground Plane Removal Using Speeded-Up Robust Features and Gray Level Co-Occurrence Matrix. Pattern Recognition and Image Analysis, 28(2). https://doi.org/10.1134/s1054661818020086
• LSCSH: Lattice-Based Secure Cryptosystem for Smart Healthcare in Smart Cities Environment
  
  Chaudhary, R., Jindal, A., Aujla, G. S., Kumar, N., Das, A. K., & Saxena, N. (2018). LSCSH: Lattice-Based Secure Cryptosystem for Smart Healthcare in Smart Cities Environment. IEEE Communications Magazine, 56(4). https://doi.org/10.1109/mcom.2018.1700787
• SeDaTiVe: SDN-Enabled Deep Learning Architecture for Network Traffic Control in Vehicular Cyber-Physical Systems
  
  Jindal, A., Aujla, G. S., Kumar, N., Chaudhary, R., Obaidat, M. S., & You, I. (2018). SeDaTiVe: SDN-Enabled Deep Learning Architecture for Network Traffic Control in Vehicular Cyber-Physical Systems. IEEE Network, 32(6). https://doi.org/10.1109/mnet.2018.1800101
• A Heuristic-Based Smart HVAC Energy Management Scheme for University Buildings
  
  Jindal, A., Kumar, N., & Rodrigues, J. J. (2018). A Heuristic-Based Smart HVAC Energy Management Scheme for University Buildings. IEEE Transactions on Industrial Informatics, 14(11). https://doi.org/10.1109/tii.2018.2802454
• EVaaS: Electric vehicle-as-a-service for energy trading in SDN-enabled smart transportation system
  
  Aujla, G. S., Jindal, A., & Kumar, N. (2018). EVaaS: Electric vehicle-as-a-service for energy trading in SDN-enabled smart transportation system. Computer Networks, 143. https://doi.org/10.1016/j.comnet.2018.07.008
• Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing
  
  Jindal, A., Dua, A., Kumar, N., Das, A. K., Vasilakos, A. V., & Rodrigues, J. J. (2018). Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing. IEEE Journal of Biomedical and Health Informatics, 22(5). https://doi.org/10.1109/jbhi.2018.2799198
• Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid
  
  Jindal, A., Dua, A., Kaur, K., Singh, M., Kumar, N., & Mishra, S. (2016). Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid. IEEE Transactions on Industrial Informatics, 12(3). https://doi.org/10.1109/tii.2016.2543145
• Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment
  
  Kumar, N., Kaur, K., Jindal, A., & Rodrigues, J. J. (2015). Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment. Digital Communications and Networks, 1(3). https://doi.org/10.1016/j.dcan.2015.05.001
• A Novel Resource Reservation Scheme for Mobile PHEVs in V2G Environment Using Game Theoretical Approach
  
  Kaur, K., Dua, A., Jindal, A., Kumar, N., Singh, M., & Vinel, A. (2015). A Novel Resource Reservation Scheme for Mobile PHEVs in V2G Environment Using Game Theoretical Approach. IEEE Transactions on Vehicular Technology, 64(12). https://doi.org/10.1109/tvt.2015.2482462