Staff profile

Dr. Anish Jindal is working as an Assistant Professor in Computer Science at Durham University, UK since Jan. 2022, a fellow of Durham Energy Institute, a visiting fellow at the School of Computer Science and Electronic Engineering (CSEE), University of Essex, and a visiting fellow in the Department of Electrical and Computer Engineering, Princeton University, USA. Prior to this, he worked as a Lecturer in CSEE, University of Essex from Mar. 2020 to Dec. 2021, and senior research associate at the School of Computing & Communications, Lancaster University, UK from Oct. 2018 to Mar. 2020. He completed his Ph.D., M.Engg. and B. Tech. degrees 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 EPSRC's £1.84M AI for Net Zero grant, VPP-WARD (EP/Y005376/1). Apart from these, he has received funding from UK Research and Innovation (GCRF), Innovate UK (KTP), Alumnode, The Royal Society (International Exchanges), British Council (Going Global Partnerships), 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, IEEE. He is actively involved with various working groups and committees of IEEE and ACM related to smart grid, 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: 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: Visiting Fellow:
• 2023: Technical committee member: ComCom journal (Elsevier)
• 2023: External Examiner: University of West of Scotland
• 2022: Visiting Fellow:
• 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.
• 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).

Conference Paper

• 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) (128-133). https://doi.org/10.1109/camad59638.2023.10478428
• 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). https://doi.org/10.1109/iccworkshops57953.2023.10283685
• 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. . https://doi.org/10.1109/icc45855.2022.9838264
• Althobaiti, A., Jindal, A., & Marnerides, A. K. (2021). Data-driven Energy Theft Detection in Modern Power Grids. . https://doi.org/10.1145/3447555.3464852
• Suresh Achari, V. P., Khanam, Z., Singh, A. K., Jindal, A., Prakash, A., & Kumar, N. (2021). I2UTS: An IoT based Intelligent Urban Traffic System. . https://doi.org/10.1109/hpsr52026.2021.9481822
• Perveen, A., Abozariba, R., Patwary, M., Aneiba, A., & Jindal, A. (2021). Clustering-based Redundancy Minimization for Edge Computing in Future Core Networks. . https://doi.org/10.1109/5gwf52925.2021.00086
• Singh, M., Aujla, G. S., Bali, R. S., Vashisht, S., Singh, A., & Jindal, A. (2020). Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios. . https://doi.org/10.1145/3414045.3415937
• 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. . https://doi.org/10.1109/icnc47757.2020.9049793
• 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. . https://doi.org/10.1109/wowmom49955.2020.00066
• Althobaiti, A., Jindal, A., & Marnerides, A. K. (2020). SCADA-agnostic Power Modelling for Distributed Renewable Energy Sources. . https://doi.org/10.1109/wowmom49955.2020.00070
• Rotsos, C., Marnerides, A. K., Magzoub, A., Jindal, A., McCherry, P., Bor, M., …Hutchison, D. (2020). Ukko: Resilient DRES management for Ancillary Services using 5G service orchestration. . https://doi.org/10.1109/smartgridcomm47815.2020.9302980
• 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. . https://doi.org/10.1109/icc.2019.8761416
• 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. . https://doi.org/10.1109/icassp.2019.8682207
• Jindal, A., Marnerides, A. K., Scott, A., & Hutchison, D. (2019). Identifying Security Challenges in Renewable Energy Systems. . https://doi.org/10.1145/3307772.3330154
• 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. . https://doi.org/10.1109/wimob.2018.8589108
• 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. . https://doi.org/10.1109/glocom.2018.8648089
• 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. . https://doi.org/10.1109/glocom.2018.8647576
• Jindal, A., Aujla, G. S., Kumar, N., & Misra, S. (2018). Sustainable Smart Energy Cyber-Physical System: Can Electric Vehicles Suffice Its Needs?. . https://doi.org/10.1109/iccw.2018.8403555
• 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. . https://doi.org/10.1145/3214701.3214704
• 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. . https://doi.org/10.1109/glocom.2018.8647926
• 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. . https://doi.org/10.1109/icc.2017.7996965
• Aujla, G. S., Jindal, A., Kumar, N., & Singh, M. (2016). SDN-Based Data Center Energy Management System Using RES and Electric Vehicles. . https://doi.org/10.1109/glocom.2016.7842243
• Jindal, A., Kumar, N., & Singh, M. (2016). A data analytical approach using support vector machine for demand response management in smart grid. . https://doi.org/10.1109/pesgm.2016.7741457
• 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. . https://doi.org/10.1109/itec-india.2015.7386924

Conference Proceeding

• (2021). Session details: 1st International Workshop on Blockchain for Smart Cyber-Physical Systems (BlockCPS). In G. S. Aujla, & A. Jindal (Eds.), . https://doi.org/10.1145/3517183

Edited book

• Machine Learning Models and Techniques. CRC Press

Journal Article

• 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, https://doi.org/10.1109/jbhi.2024.3384453
• 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
• 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
• 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
• 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
• 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
• Goudarzi, S., Soleymani, S. A., Anisi, M. H., Jindal, A., Dinmohammadi, F., & Xiao, P. (2023). Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/tce.2023.3328949
• 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
• 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
• 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
• 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
• Ren, X., Aujla, G. S., Jindal, A., Batth, R. S., & Zhang, P. (2021). Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud supported FinTech Applications. IEEE Internet of Things Journal, https://doi.org/10.1109/jiot.2021.3064468
• 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, https://doi.org/10.1109/tii.2021.3121505
• 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
• Sharma, N., Kumar, A., Pervaiz, H., Magarini, M., Musavian, L., Alam, M. M., …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
• 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, https://doi.org/10.1109/tgcn.2021.3126786
• 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
• 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
• Jindal, A., Kronawitter, J., Kühn, R., Bor, M., de Meer, H., Gouglidis, 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
• 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
• 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
• 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
• 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 and Security, 85, https://doi.org/10.1016/j.cose.2019.05.006
• 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
• 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
• 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
• 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
• 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: Advances in Mathematical Theory and Applications, 28(2), https://doi.org/10.1134/s1054661818020086
• 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
• 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
• 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
• 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
• 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
• 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