Dr Anish Jindal

School of Computer Science and Electronic Engineering (CSEE)
Dr Anish Jindal



Dr. Anish Jindal is working as a Lecturer in School of Computer Science and Electronic Engineering (CSEE), University of Essex since Mar 2020. Prior to this, he worked as senior research associate at School of Computing & Communications, Lancaster University, UK from Oct. 2018 to Mar. 2020. He completed his Ph.D., M.E. 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 IEEE Technical Committee on Scalable Computing (TCSC) and conferred with the IEEE Communication Society's Outstanding Young Researcher Award for the Europe, Middle East, and Africa (EMEA) Region, 2019. He has also been a visiting researcher to OFFIS - Institute for Information Technology, Germany in 2019. His research interests are in the areas of smart cities, data analytics, artificial intelligence, cyber-physical systems, wireless networks, and security. Some of his research findings are published in top-cited journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Vehicular Technology, IEEE Communication Magazine, IEEE Network, Future Generation Computer Systems, and Computer Networks. In addition to it, his research works have also been presented in 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 and IEEE GLOBECOM. He is also the guest editor of various journals including Software: Practice and Experience (Wiley), Neural Computing & Applications (Springer), and Computers (MDPI). He has also delivered many invited talks and lectures in various international avenues. He is a member of the ACM, IEEE, and actively involved with various working groups and committees of IEEE and ACM related to smart grid, energy informatics and smart cities. *Always looking for highly motivated Ph.D. students having aligned research interests and prospective students are encouraged to contact me by email with their CV and a brief outline of their vision.


  • Ph.D. Thapar University, (2018)

  • M.Engg. Panjab University, (2014)


University of Essex

  • Lecturer, School of Computer Science and Electronic Engineering (CSEE), University of Essex (30/3/2020 - present)

Other academic

  • Senior Research Associate, School of Computing & Communications, Lancaster University (1/10/2018 - 29/3/2020)

Research and professional activities

Research interests

Smart cities

Data analytics

Artificial intelligence

Cyber-physical systems

Wireless networks


Teaching and supervision

Current teaching responsibilities

  • Internet of Things Technology (CE713)


Journal articles (15)

Jindal, A., Aujla, GSS., Kumar, N. and Villari, M., (2020). GUARDIAN: Blockchain-based Secure Demand Response Management in Smart Grid System. IEEE Transactions on Services Computing, 1-1

Jindal, A., Bhambhu, BS., Singh, M., Kumar, N. and Naik, K., (2020). A Heuristic-Based Appliance Scheduling Scheme for Smart Homes. IEEE Transactions on Industrial Informatics. 16 (5), 3242-3255

Saleem, A., Khan, A., Malik, SUR., Pervaiz, H., Malik, H., Alam, M. and Jindal, A., (2019). FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network. IEEE Internet of Things Journal, 1-1

Chaudhary, R., Jindal, A., Aujla, GS., Aggarwal, S., Kumar, N. and Choo, K-KR., (2019). BEST: Blockchain-based secure energy trading in SDN-enabled intelligent transportation system. Computers & Security. 85, 288-299

Jindal, A., Aujla, GS. and 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, 36-48

Jindal, A., Kumar, N. and Rodrigues, JJPC., (2018). A Heuristic-Based Smart HVAC Energy Management Scheme for University Buildings. IEEE Transactions on Industrial Informatics. 14 (11), 5074-5086

Jindal, A., Singh, M. and Kumar, N., (2018). Consumption-Aware Data Analytical Demand Response Scheme for Peak Load Reduction in Smart Grid. IEEE Transactions on Industrial Electronics. 65 (11), 8993-9004

Jindal, A., Dua, A., Kumar, N., Das, AK., Vasilakos, AV. and Rodrigues, JJPC., (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), 1605-1618

Jindal, A., Aujla, GS., Kumar, N., Chaudhary, R., Obaidat, MS. and You, I., (2018). SeDaTiVe: SDN-Enabled Deep Learning Architecture for Network Traffic Control in Vehicular Cyber-Physical Systems. IEEE Network. 32 (6), 66-73

Aujla, GS., Jindal, A. and Kumar, N., (2018). EVaaS: Electric vehicle-as-a-service for energy trading in SDN-enabled smart transportation system. Computer Networks. 143, 247-262

Jindal, A., Aggarwal, N. and 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), 288-300

Chaudhary, R., Jindal, A., Aujla, GS., Kumar, N., Das, AK. and Saxena, N., (2018). LSCSH: Lattice-Based Secure Cryptosystem for Smart Healthcare in Smart Cities Environment. IEEE Communications Magazine. 56 (4), 24-32

Jindal, A., Dua, A., Kaur, K., Singh, M., Kumar, N. and Mishra, S., (2016). Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid. IEEE Transactions on Industrial Informatics. 12 (3), 1005-1016

Kaur, K., Dua, A., Jindal, A., Kumar, N., Singh, M. and 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), 5653-5666

Kumar, N., Kaur, K., Jindal, A. and Rodrigues, JJPC., (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), 191-203

Conferences (14)

Jindal, A., Schaeffer-Filho, A., Marnerides, AK., Smith, P., Mauthe, A. and Granville, L., (2020). Tackling Energy Theft in Smart Grids through Data-driven Analysis

Jindal, A., Marnerides, AK., Scott, A. and Hutchison, D., (2019). Identifying Security Challenges in Renewable Energy Systems

Aujla, GS., Jindal, A., Chaudhary, R., Kumar, N., Vashist, S., Sharma, N. and Obaidat, MS., (2019). DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem

Jindal, A., Marnerides, AK., Gouglidis, A., Mauthe, A. and Hutchison, D., (2019). Communication Standards for Distributed Renewable Energy Sources Integration in Future Electricity Distribution Networks

Aggarwal, S., Chaudhary, R., Aujla, GS., Jindal, A., Dua, A. and Kumar, N., (2018). EnergyChain

Dua, A., Sharma, P., Ganju, S., Jindal, A., Aujla, GS., Kumar, N. and Rodrigues, JJPC., (2018). RoVAN: A Rough Set-based Scheme for Cluster Head Selection in Vehicular Ad-hoc Networks

Dua, A., Chaudhary, R., Singh Aujla, G., Jindal, A., Kumar, N. and Rodrigues, JJPC., (2018). LEASE: Lattice and ECC-Based Authentication and Integrity Verification Scheme in E-Healthcare

Jindal, A., Aujla, GS., Kumar, N., Prodan, R. and Obaidat, MS., (2018). DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR

Kapoor, L., Jindal, A., Benslimane, A., Aujla, GS., Chaudhary, R., Kumar, N. and Zomaya, AY., (2018). SLOPE: A Self Learning Optimization and Prediction Ensembler for Task Scheduling

Jindal, A., Aujla, GS., Kumar, N. and Misra, S., (2018). Sustainable Smart Energy Cyber-Physical System: Can Electric Vehicles Suffice Its Needs?

Jindal, A., Dua, A., Kumar, N., Vasilakos, AV. and Rodrigues, JJPC., (2017). An efficient fuzzy rule-based big data analytics scheme for providing healthcare-as-a-service

Aujla, GS., Jindal, A., Kumar, N. and Singh, M., (2016). SDN-Based Data Center Energy Management System Using RES and Electric Vehicles

Jindal, A., Kumar, N. and Singh, M., (2016). A data analytical approach using support vector machine for demand response management in smart grid

Arora, NN., Jindal, A., Singh, M., Kumar, N. and 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



Colchester Campus

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