Hari Pandey

Dr Hari Pandey

  • u_hpandey at bournemouth dot ac dot uk
  • Senior Lecturer in Computer Science (Data Science and AI)
UN SDGs:
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Biography

Hari is in data science and artificial intelligence at school of technology Bournemouth University, UK. He is in the 2022 World Ranking list of Top 2% scientist by Sandford University (https://rb.gy/suflwb). He is specialized in Computer Science & Engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning and computer vision.

Hari is the author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). Recently, Hari’s book entitle “State of the Art on Grammatical Inference Using Evolutionary Method " is published in Elsevier. He has published over 120 scientific papers in reputed journals and conferences. He is serving in the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge Based Systems Elsevier) as action editor, associate editor, and guest editor...

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Research

My research interest is in – (a) artificial intelligence; (b) machine learning; (c) soft computing methods; (d) grammatical inference algorithms; (e) AI based web application development; (f) deep learning; (g) language processing; (h) formal language theory; (i) software engineering and modelling; (j) neurobiology; (k) search and optimization algorithms; and (l) algorithm design and analysis etc.

As a postdoc research fellow, I worked for H2020-DREAM4CAR project where I learned how to manage a research project independently and in a team environment. I utilize my research learning to supervise PhD students; supervise MRes; writing quality research articles; collaborate with colleagues internally and externally; and writing research proposal in collaboration with others.

I would like to collaborate with colleagues across the globe for research publications and joint project submission for funding. I also like to collaborate with other department for multidisciplinary research projects. I have published research articles in top Journals which includes the following: IEEE Transactions, ACM Transactions, Elsevier Journals, and Springer Journals. I have played leading role in various research activities. Some of the notable activities are: Leading guest editors for top computer science and engineering journals; Keynote speakers for international conferences; Invited speaker for workshops; invited speaker for faculty development programs; session chair in International Conferences and editor for International Conference proceedings.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person's work contributes towards the following SDGs:

Quality education

"Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all"

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Decent work and economic growth

"Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all"

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Industry, innovation and infrastructure

"Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation"

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Partnership for the Goals

"Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development"

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Journal Articles

  • Jha, A., Bhatia, A., Tiwari, K., Pandey, H.M., 2026. Hierarchical Bayesian Deep Learning for return on advertising spend prediction: A probabilistic approach to e-commerce advertising. Engineering Applications of Artificial Intelligence, 164.
  • Gong, Y., Chu, Z., Zhu, Z., Xiao, P., Zeng, M., Wang, Y., Pandey, H.M., Hou, J., 2026. Wireless Vision-Centered Semantic Communication for Smart City Environment: Pretrained Network and Quantization. IEEE Transactions on Consumer Electronics.
  • Tan, W., Tiwari, P., Pandey, H.M., Moreira, C., Jaiswal, A.K., 2025. Multimodal medical image fusion algorithm in the era of big data. Neural Computing and Applications, 37 (28), 22995-23015.
  • Hasteer, N., Blum, C., Mehrotra, D., Pandey, H.M., 2025. Preface. Lecture Notes in Electrical Engineering, 1278.
  • Pandey, H.M., Goel, P.K., Balyan, V., Yadav, S.P., 2025. Preface. Advanced Systems for Monitoring Carbon Sequestration.
  • Pandey, H.M., Gupta, A., Sarkar, S., Tomer, M., Johannes, S., Gong, Y., 2025. GEMMA-SQL: A Novel Text-to-SQL Model Based on Large Language Models. Applied Artificial Intelligence, 39 (1).
  • Shieh, C.S., Goel, P.K., Horng, M.F., Pandey, H.M., 2025. Preface. Threat Intelligence and Cloud Trust Models for Healthcare Security.
  • Shieh, C.S., Goel, P.K., Horng, M.F., Pandey, H.M., 2025. Preface. Resilient Healthcare Internet of Things Systems Architectures Security and Trust.
  • Sangher, K.S., Singh, A., Pandey, H.M., 2024. LSTM and BERT based transformers models for cyber threat intelligence for intent identification of social media platforms exploitation from darknet forums. International Journal of Information Technology Singapore, 16 (8).
  • Peepliwal, A.K., Pandey, H.M., Prakash, S., Chowhan, S.S., Kumar, V., Sharma, R., Mahajan, A.A., 2024. A prototype model of zero trust architecture blockchain with EigenTrust-based practical Byzantine fault tolerance protocol to manage decentralized clinical trials. Blockchain Research and Applications, 5 (4).
  • Sangher, K.S., Singh, A., Pandey, H.M., 2024. Signature based ransomware detection based on optimizations approaches using RandomClassifier and CNN algorithms. International Journal of System Assurance Engineering and Management, 15 (5), 1687-1703.
  • Goel, P.K., Pandey, H.M., Singhal, A., Agarwal, S., 2024. Preface. Analyzing and Mitigating Security Risks in Cloud Computing.
  • Goel, P.K., Pandey, H.M., Singhal, A., Agarwal, S., 2024. Preface. Improving Security Privacy and Trust in Cloud Computing.
  • Santosh, K.C., Nandal, P., Sood, S.K., Pandey, H.M., 2024. Preface. Lecture Notes in Networks and Systems, 1053 LNNS.
  • Vijh, S., Gaurav, P., Pandey, H.M., 2023. Hybrid bio-inspired algorithm and convolutional neural network for automatic lung tumor detection. Neural Computing and Applications, 35 (33), 23711-23724.
  • Aslam, M.S., Tiwari, P., Pandey, H.M., Band, S.S., 2023. Robust stability analysis for class of Takagi-Sugeno (T-S) fuzzy with stochastic process for sustainable hypersonic vehicles. Information Sciences, 641.
  • Shamrooz Aslam, M., Tiwari, P., Pandey, H.M., Band, S.S., El Sayed, H., 2023. A delayed Takagi–Sugeno fuzzy control approach with uncertain measurements using an extended sliding mode observer. Information Sciences, 643.
  • Singh, S., Rajput, N.K., Rathi, V.K., Pandey, H.M., Jaiswal, A.K., Tiwari, P., 2023. Securing Blockchain Transactions Using Quantum Teleportation and Quantum Digital Signature. Neural Processing Letters, 55 (4), 3827-3842.
  • Pandey, H.M., Layeb, A., Windridge, D., 2023. Special Issue on Quantum Inspired Neural Networks for Engineering Optimization. Neural Processing Letters, 55 (4), 3811-3812.
  • Sangher, K.S., Singh, A., Pandey, H.M., Kumar, V., 2023. Towards Safe Cyber Practices: Developing a Proactive Cyber-Threat Intelligence System for Dark Web Forum Content by Identifying Cybercrimes. Information Switzerland, 14 (6).
  • Vijh, S., Pandey, H.M., Gaurav, P., 2023. Brain tumor segmentation using extended Weiner and Laplacian lion optimization algorithm with fuzzy weighted k-mean embedding linear discriminant analysis. Neural Computing and Applications, 35 (10), 7315-7338.
  • Arora, S., Suman, H.K., Mathur, T., Pandey, H.M., Tiwari, K., 2023. Fractional derivative based weighted skip connections for satellite image road segmentation. Neural Networks, 161, 142-153.
  • Garg, S., Mehrotra, D., Pandey, H.M., Pandey, S., 2023. Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments. Cluster Computing, 26 (1), 847-862.
  • Garg, S., Mehrotra, D., Pandey, H.M., Pandey, S., 2023. Correction: Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments (Cluster Computing, (2023), 26, 1, (847-862), 10.1007/s10586-022-03689-x). Cluster Computing, 26 (1), 863.
  • Yadav, S.K., Luthra, A., Pahwa, E., Tiwari, K., Rathore, H., Pandey, H.M., Corcoran, P., 2023. DroneAttention: Sparse weighted temporal attention for drone-camera based activity recognition. Neural Networks, 159, 57-69.
  • Agrawal, A.P., Choudhary, A., Pandey, H.M., 2023. An efficient regression test suite optimisation approach using adaptive salp swarm optimisation. International Journal of Business Information Systems, 43 (4).
  • Hao, L., Pandey, H.M., 2022. Research on the Positioning Technology of Sports 3D Teaching Action Based on Machine Vision. Mobile Networks and Applications, 27 (6), 2419-2428.
  • He, L., Guo, C., Tiwari, P., Pandey, H.M., Dang, W., 2022. Intelligent system for depression scale estimation with facial expressions and case study in industrial intelligence. International Journal of Intelligent Systems, 37 (12), 10140-10156.
  • Sahoo, B.M., Pandey, H.M., Amgoth, T., 2022. A genetic algorithm inspired optimized cluster head selection method in wireless sensor networks. Swarm and Evolutionary Computation, 75.
  • Ding, Y., Tiwari, P., Zou, Q., Guo, F., Pandey, H.M., 2022. C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites. IEEE Transactions on Fuzzy Systems, 30 (11), 4754-4765.
  • Garg, S., Mehrotra, D., Pandey, H.M., Pandey, S., 2022. Enhancing RPL using E-MOF: a fuzzy-based mobility model for IoV. Peer to Peer Networking and Applications, 15 (6), 2557-2571.
  • Aslam, M.S., Tiwari, P., Pandey, H., Band, S.S., 2022. Observer–Based Control for a New Stochastic Maximum Power Point tracking for Photovoltaic Systems With Networked Control System. IEEE Transactions on Fuzzy Systems.
  • Al-Khalidi, M., Al-Zaidi, R., Abubahia, A.M., Pandey, H.M., Biswas, M.I., Hammoudeh, M., 2022. Global IoT Mobility: A Path Based Forwarding Approach. Journal of Sensor and Actuator Networks, 11 (3).
  • Yadav, S.K., Agarwal, A., Kumar, A., Tiwari, K., Pandey, H.M., Akbar, S.A., 2022. YogNet: A two-stream network for realtime multiperson yoga action recognition and posture correction. Knowledge Based Systems, 250.
  • Yadav, S.K., Agarwal, A., Kumar, A., Tiwari, K., Pandey, H.M., Akbar, S.A., 2022. YogNet: A two-stream network for realtime multiperson yoga action recognition and posture correction. Knowledge Based Systems, 250.
  • Garg, S., Mehrotra, D., Pandey, S., Pandey, H.M., 2022. Network efficient topology for low power and lossy networks in smart corridor design using RPL. International Journal of Pervasive Computing and Communications, 18 (4), 419-436.
  • He, L., Guo, C., Tiwari, P., Su, R., Pandey, H.M., Dang, W., 2022. DepNet: An automated industrial intelligent system using deep learning for video-based depression analysis. International Journal of Intelligent Systems, 37 (7), 3815-3835.
  • Das, S.R., Hota, A.P., Pandey, H.M., Sahoo, B.M., 2022. Industrial power quality enhancement using fuzzy logic based photovoltaic integrated with three phase shunt hybrid active filter and adaptive controller. Applied Soft Computing, 121.
  • Arora, G., Singh, A., Nigam, A., Pandey, H.M., Tiwari, K., 2022. FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification. Knowledge Based Systems, 239.
  • Yadav, S.K., Luthra, A., Tiwari, K., Pandey, H.M., Akbar, S.A., 2022. ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling. Knowledge Based Systems, 239.
  • Yadav, S.K., Sai, S., Gundewar, A., Rathore, H., Tiwari, K., Pandey, H.M., Mathur, M., 2022. CSITime: Privacy-preserving human activity recognition using WiFi channel state information. Neural Networks, 146, 11-21.
  • Yadav, S.K., Tiwari, K., Pandey, H.M., Akbar, S.A., 2022. Skeleton-based human activity recognition using ConvLSTM and guided feature learning. Soft Computing, 26 (2), 877-890.
  • Umer, S., Mondal, R., Pandey, H.M., Rout, R.K., 2021. Deep features based convolutional neural network model for text and non-text region segmentation from document images. Applied Soft Computing, 113.
  • Zhang, Y., Liu, Y., Li, Q., Tiwari, P., Wang, B., Li, Y., Pandey, H.M., Zhang, P., Song, D., 2021. CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations. IEEE Transactions on Fuzzy Systems, 29 (12), 3696-3710.
  • Umer, S., Mohanta, P.P., Rout, R.K., Pandey, H.M., 2021. Machine learning method for cosmetic product recognition: a visual searching approach. Multimedia Tools and Applications, 80 (28-29), 34997-35023.
  • Dhiman, G., Soni, M., Pandey, H.M., Slowik, A., Kaur, H., 2021. A novel hybrid hypervolume indicator and reference vector adaptation strategies based evolutionary algorithm for many-objective optimization. Engineering with Computers, 37 (4), 3017-3035.
  • Yang, Y., Tan, Z., Tiwari, P., Pandey, H.M., Wan, J., Lei, Z., Guo, G., Li, S.Z., 2021. Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition. International Journal of Computer Vision, 129 (10), 2731-2744.
  • Zhu, C., Qin, B., Xiao, F., Cao, Z., Pandey, H.M., 2021. A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion. Information Sciences, 570, 306-322.
  • Pandey, H.M., Bessis, N., Kumar, N., Chaudhary, A., 2021. S. I: hybridization of neural computing with nature-inspired algorithms. Neural Computing and Applications, 33 (17), 10617-10619.
  • Aggarwal, S., Bhatia, M., Madaan, R., Pandey, H.M., 2021. SVM prediction model interface for plant contaminates. Traitement Du Signal, 38 (4), 1023-1032.
  • Mangipudi, P.S., Pandey, H.M., Choudhary, A., 2021. Improved optic disc and cup segmentation in Glaucomatic images using deep learning architecture. Multimedia Tools and Applications, 80 (20), 30143-30163.
  • Yadav, S.K., Tiwari, K., Pandey, H.M., Akbar, S.A., 2021. A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions. Knowledge Based Systems, 223.
  • Pandey, H.M., Trovati, M., Bessis, N., 2021. Statistical exploratory analysis of mask-fill reproduction operators of Genetic Algorithms. Applied Soft Computing, 102.
  • Garg, S., Mehrotra, D., Pandey, H.M., Pandey, S., 2021. Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions. Peer to Peer Networking and Applications, 14 (2), 978-1005.
  • Tiwari, P., Zhu, H., Pandey, H.M., 2021. DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning. Neural Networks, 135, 1-12.
  • Sahoo, B.M., Pandey, H.M., Amgoth, T., 2021. GAPSO-H: A hybrid approach towards optimizing the cluster based routing in wireless sensor network. Swarm and Evolutionary Computation, 60.
  • Aggarwal, S., Bhatia, M., Pandey, H.M., Madaan, R., 2021. Envisaging Variance Amid Indian Floras Owed To Contaminates Via SSIM Technique. Indian Journal of Environmental Protection, 41 (9).
  • Yang, Y., Wang, G., Tiwari, P., Pandey, H.M., Lei, Z., 2021. Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification. IEEE Transactions on Neural Networks and Learning Systems.
  • Kumar, P.M., Pandey, H.M., Srivastava, G., 2021. Special Issue on Workplace Violence Prevention using Security Robots. Work Reading Mass, 68 (3), 821-823.
  • Pandey, H.M., Bansal, A., Chaudhary, A., 2021. Editorial. International Journal of Advanced Intelligence Paradigms, 18 (2).
  • Kang, C., Yu, X., Wang, S.H., Guttery, D.S., Pandey, H.M., Tian, Y., Zhang, Y.D., 2021. A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring. IEEE Transactions on Fuzzy Systems, 29 (1), 34-45.
  • Zhang, Y., Tiwari, P., Song, D., Mao, X., Wang, P., Li, X., Pandey, H.M., 2021. Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis. Neural Networks, 133, 40-56.
  • Qian, J., Hansen, L.K., Fafoutis, X., Tiwari, P., Pandey, H.M., 2020. Robustness analytics to data heterogeneity in edge computing. Computer Communications, 164, 229-239.
  • Moreira, C., Tiwari, P., Pandey, H.M., Bruza, P., Wichert, A., 2020. Quantum-like influence diagrams for decision-making. Neural Networks, 132, 190-210.
  • Qian, J., Tiwari, P., Gochhayat, S.P., Pandey, H.M., 2020. A Noble Double-Dictionary-Based ECG Compression Technique for IoTH. IEEE Internet of Things Journal, 7 (10), 10160-10170.
  • Pandey, H.M., 2020. Secure medical data transmission using a fusion of bit mask oriented genetic algorithm, encryption and steganography. Future Generation Computer Systems, 111, 213-225.
  • Bebortta, S., Senapati, D., Rajput, N.K., Singh, A.K., Rathi, V.K., Pandey, H.M., Jaiswal, A.K., Qian, J., Tiwari, P., 2020. Evidence of power-law behavior in cognitive IoT applications. Neural Computing and Applications, 32 (20), 16043-16055.
  • Sahoo, B.M., Amgoth, T., Pandey, H.M., 2020. Particle swarm optimization based energy efficient clustering and sink mobility in heterogeneous wireless sensor network. Ad Hoc Networks, 106.
  • Wu, J., Yang, Y., Lei, Z., Wang, J., Li, S.Z., Tiwari, P., Pandey, H.M., 2020. An end-to-end exemplar association for unsupervised person Re-identification. Neural Networks, 129, 43-54.
  • Velliangiri, S., Pandey, H.M., 2020. Fuzzy-Taylor-elephant herd optimization inspired Deep Belief Network for DDoS attack detection and comparison with state-of-the-arts algorithms. Future Generation Computer Systems, 110, 80-90.
  • Waheed, A., Goyal, M., Gupta, D., Khanna, A., Hassanien, A.E., Pandey, H.M., 2020. An optimized dense convolutional neural network model for disease recognition and classification in corn leaf. Computers and Electronics in Agriculture, 175.
  • Wang, G., Yang, Y., Zhang, T., Cheng, J., Hou, Z., Tiwari, P., Pandey, H.M., 2020. Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification. Neural Networks, 128, 294-304.
  • Kumar, P.M., Pandey, H.M., Srivastava, G., 2020. Call for Special Issue Papers: Multimedia Big Data Analytics for Engineering Education. Big Data, 8 (3), 165-166.
  • Pandey, H.M., Bessis, N., Das, S., Windridge, D., Chaudhary, A., 2020. Editorial to special issue on hybrid artificial intelligence and machine learning technologies in intelligent systems. Neural Computing and Applications, 32 (12), 7743-7745.
  • Li, J., Hu, R., Liu, X., Tiwari, P., Pandey, H.M., Chen, W., Wang, B., Jin, Y., Yang, K., 2020. A distant supervision method based on paradigmatic relations for learning word embeddings. Neural Computing and Applications, 32 (12), 7759-7768.
  • Agrawal, A.P., Choudhary, A., Kaur, A., Pandey, H.M., 2020. Fault coverage-based test suite optimization method for regression testing: learning from mistakes-based approach. Neural Computing and Applications, 32 (12), 7769-7784.
  • Rout, R.K., Maity, S.P., Choudhury, P.P., Das, J.K., Hassan, S.S., Pandey, H.M., 2020. Analysis of Boolean functions based on interaction graphs and their influence in system biology. Neural Computing and Applications, 32 (12), 7803-7821.
  • Li, Q., Cao, Z., Tanveer, M., Pandey, H.M., Wang, C., 2020. A Semantic Collaboration Method Based on Uniform Knowledge Graph. IEEE Internet of Things Journal, 7 (5), 4473-4484.
  • Xu, X., Hu, N., Trovati, M., Ray, J., Palmieri, F., Pandey, H.M., 2020. DLCD-CCE: A Local Community Detection Algorithm for Complex IoT Networks. IEEE Internet of Things Journal, 7 (5), 4607-4615.
  • Shankar, K., Sait, A.R.W., Gupta, D., Lakshmanaprabu, S.K., Khanna, A., Pandey, H.M., 2020. Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model. Pattern Recognition Letters, 133, 210-216.
  • Rout, R.K., Hassan, S.K.S., Sindhwani, S., Pandey, H.M., Umer, S., 2020. Intelligent classification and analysis of essential genes using quantitative methods. ACM Transactions on Multimedia Computing Communications and Applications, 16 (1s).
  • Kumar, P.M., Pandey, H.M., Srivastava, G., 2020. Call for Special Issue Papers: Multimedia Big Data Analytics for Engineering Education. Big Data, 8 (2), 87-88.
  • Gautam, C., Mishra, P.K., Tiwari, A., Richhariya, B., Pandey, H.M., Wang, S., Tanveer, M., 2020. Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks, 123, 191-216.
  • Lee, S.J., Tseng, C.H., Lin, G.T., Yang, Y., Yang, P., Muhammad, K., Pandey, H.M., 2020. A dimension-reduction based multilayer perception method for supporting the medical decision making. Pattern Recognition Letters, 131, 15-22.
  • Umer, S., Sardar, A., Dhara, B.C., Rout, R.K., Pandey, H.M., 2020. Person identification using fusion of iris and periocular deep features. Neural Networks, 122, 407-419.
  • Sangaiah, A.K., Goli, A., Tirkolaee, E.B., Ranjbar-Bourani, M., Pandey, H.M., Zhang, W., 2020. Big Data-Driven Cognitive Computing System for Optimization of Social Media Analytics. IEEE Access, 8, 82215-82226.
  • Tiwari, P., Pandey, H.M., Khamparia, A., Kumar, S., 2019. Twitter-based opinion mining for flight service utilizing machine learning. Informatica Slovenia, 43 (3), 381-386.
  • Bhattacharjee, K., Kumar, S., Pandey, H.M., Pant, M., Windridge, D., Chaudhary, A., 2018. An improved block matching algorithm for motion estimation in video sequences and application in robotics. Computers and Electrical Engineering, 68, 92-106.
  • Pandey, H.M., Chaudhary, A., Mehrotra, D., 2018. Bit mask-oriented genetic algorithm for grammatical inference and premature convergence. International Journal of Bio Inspired Computation, 12 (1), 54-69.
  • Pandey, H.M., Chaudhary, A., Mehrotra, D., Kendall, G., 2016. Maintaining regularity and generalization in data using the minimum description length principle and genetic algorithm: Case of grammatical inference. Swarm and Evolutionary Computation, 31, 11-23.
  • Pandey, H.M., Chaudhary, A., Mehrotra, D., 2016. Grammar induction using bit masking oriented genetic algorithm and comparative analysis. Applied Soft Computing Journal, 38, 453-468.
  • Pandey, H.M., Chaudhary, A., Mehrotra, D., 2014. A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing Journal, 24, 1047-1077.
  • Pande, N., Saxena, J., Pandey, H., 1990. Natural occurrence of mycotoxins in some cereals. Mycoses, 33 (3), 126-128.

Books

Chapters

  • Goel, P.K., Pandey, H.M., Singhal, A., Agarwal, S., 2024. Introduction. Improving Security Privacy and Trust in Cloud Computing.
  • Chaturvedi, V., Kayande, P., Pandey, H., 2024. Understanding the Insinuable Role of Financial Inclusion and e-Financial Strategies As an Unparallel Approach for Poverty Alleviation and Building Inclusive Society. Sustainable Finance.
  • Pandey, H.M., Windridge, D., 2019. A comprehensive classification of deep learning libraries. Advances in Intelligent Systems and Computing. 427-435.
  • Pandey, H.M., Jain, N., 2017. Performance Evaluation of Reproduction Operators in Genetic Algorithm. Lecture Notes in Networks and Systems. 451-460.
  • Pandey, H.M., 2017. Genetic Algorithm and Particle Swarm Optimization: Analysis and Remedial Suggestions. Lecture Notes in Networks and Systems. 437-441.

Conferences

  • Pandey, H.M., 2024. Genetic Algorithm with Modified Reproduction Operators for Grammatical Inference. Gecco 2024 Companion Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, 2135-2138.
  • Pandey, H., Yadav, S.K., Pahwa, E., Luthra, A., Tiwari, K., Corcoran, P., 2023. SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition. In: 41st IEEE International Conference on Consumer Electronics (ICCE 2023) 06/01/2023 Las Vegas USA.
  • Sangher, K.S., Singh, A., Pandey, H.M., Kalyani, L., 2023. Implementation of Threats Detection Modeling with Deep Learning in IoT Botnet Attack Environment. Smart Innovation Systems and Technologies, 312, 585-592.
  • Garg, S., Mehrotra, D., Pandey, S., Pandey, H.M., 2023. Optimal Feature Selection to Improve Vehicular Network Lifetime. Lecture Notes in Networks and Systems, 599 LNNS, 57-68.
  • Kumar Yadav, S., Pahwa, E., Luthra, A., Tiwari, K., Pandey, H.M., 2023. SWTA: Sparse Weighted Temporal Attention for Drone-Based Activity Recognition. Proceedings of the International Joint Conference on Neural Networks, 2023-June.
  • Pandey, H., Sangher, K.S., Singh, A., Kalyani, L., 2022. Implementation of threats detection modeling with Deep learning in IoT botnet attack environment. In: International Conference on Information and Communication Technology for Intelligent Systems 25/03/2022 Ahmedabad.
  • Yadav, S.K., Singh, G., Verma, M., Tiwari, K., Pandey, H.M., Akbar, S.A., Corcoran, P., 2022. YogaTube: A Video Benchmark for Yoga Action Recognition. Proceedings of the International Joint Conference on Neural Networks.
  • Yadav, S.K., Kera, S.B., Gonela, R.V., Tiwari, K., Pandey, H.M., Akbar, S.A., 2022. TBAC: Transformers Based Attention Consensus for Human Activity Recognition. Proceedings of the International Joint Conference on Neural Networks.
  • Yadav, S.K., Deshmukh, A., Gonela, R.V., Kera, S.B., Tiwari, K., Pandey, H.M., Akbar, S.A., 2022. MS-KARD: A Benchmark for Multimodal Karate Action Recognition. Proceedings of the International Joint Conference on Neural Networks.
  • Yadav, S.K., Agrawal, P., Tiwari, K., Adeli, E., Pandey, H.M., Akbar, S.A., 2022. WTM: Weighted Temporal Attention Module for Group Activity Recognition. Proceedings of the International Joint Conference on Neural Networks.
  • Yadav, S.K., Agrawal, P., Tiwari, K., Adeli, E., Pandey, H.M., Akbar, S.A., 2022. WTM: Weighted Temporal Attention Module for Group Activity Recognition. Proceedings of the International Joint Conference on Neural Networks.
  • Nasar, N., Ray, S., Umer, S., Mohan Pandey, H., 2021. Design and data analytics of electronic human resource management activities through Internet of Things in an organization. Software Practice and Experience, 51 (12), 2411-2427.
  • Pandey, H.M., Jain, A., 2021. Human Cognition to Analyze Alcohol Use Disorder and Correlation with Internet Gaming Disorder. Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design Cscwd 2021, 882-887.
  • Pandey, H.M., Jain, A., 2021. Human Cognitive Features to Define Correlation between Depression and Internet Gaming Disorder. Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design Cscwd 2021, 888-893.
  • Sahoo, B.M., Pandey, H.M., Amgoth, T., 2021. A whale optimization (WOA): Meta-heuristic based energy improvement clustering in wireless sensor networks. Proceedings of the Confluence 2021 11th International Conference on Cloud Computing Data Science and Engineering, 649-654.
  • Aggarwal, S., Bhatia, M., Madaan, R., Pandey, H.M., 2021. Optimized sequential model for plant recognition in Keras. Iop Conference Series Materials Science and Engineering, 1022 (1).
  • Garg, S., Mehrotra, D., Pandey, S., Pandey, H.M., 2021. A Convergence Time Predictive Model using Machine Learning for LLN. 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2021.
  • Sahoo, B.M., Amgoth, T., Pandey, H.M., 2021. Enhancing the Network Performance of Wireless Sensor Networks on Meta-heuristic Approach: Grey Wolf Optimization. Lecture Notes in Electrical Engineering, 778.
  • Pandey, H.M., Windridge, D., 2021. A genetic deep learning model for electrophysiological soft robotics. Advances in Intelligent Systems and Computing, 1221 AISC.
  • Li, Q., Cao, Z., Tanveer, M., Pandey, H.M., Wang, C., 2020. An Effective Reliability Evaluation Method for Power Communication Network Based on Community Structure. IEEE Transactions on Industry Applications, 56 (4), 4489-4500.
  • Sahoo, B.M., Rout, R.K., Umer, S., Pandey, H.M., 2020. ANT colony optimization based optimal path selection and data gathering in WSN. Proceedings of International Conference on Computation Automation and Knowledge Management Iccakm 2020, 113-119.
  • Aggarwal, S., Bhatia, M., Pandey, H.M., 2020. A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming. Lecture Notes in Electrical Engineering, 605, 1129-1139.
  • Kumar Roy, D., Mohan Pandey, H., 2018. A New Clustering Method Using an Augmentation to the Self Organizing Maps. Proceedings of the 8th International Conference Confluence 2018 on Cloud Computing Data Science and Engineering Confluence 2018, 739-742.
  • Pandey, H.M., Rajput, M., Mishra, V., 2018. Performance comparison of pattern search, simulated annealing, genetic algorithm and jaya algorithm. Advances in Intelligent Systems and Computing, 542.
  • Shahnawaz, M., Saxena, K., Pandey, H.M., 2018. Analysis & Design of Data Farming Algorithm For Cardiac Patient Data. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING, 114-118.
  • Pandey, H.M., 2017. Performance Review of Harmony Search, Differential Evolution and Particle Swarm Optimization. Iop Conference Series Materials Science and Engineering, 225 (1).
  • Sharma, S., Pandey, H.M., 2016. Genetic Algorithm, Particle Swarm Optimization and Harmony Search: A quick comparison. Proceedings of the 2016 6th International Conference Cloud System and Big Data Engineering Confluence 2016, 40-44.
  • Pandey, H.M., 2016. Jaya a novel optimization algorithm: What, how and why? Proceedings of the 2016 6th International Conference Cloud System and Big Data Engineering Confluence 2016, 728-730.
  • Pandey, H.M., 2016. Solving lecture time tabling problem using GA. Proceedings of the 2016 6th International Conference Cloud System and Big Data Engineering Confluence 2016, 45-50.
  • Pandey, H.M., Chaudhary, A., Mehrotra, D., Yudong, Z., 2016. The BMODS: A powerful 2-D representation scheme for the GA's population. Proceedings of the 2016 6th International Conference Cloud System and Big Data Engineering Confluence 2016, 51-52.
  • Pandey, H.M., 2016. Performance Evaluation of Selection Methods of Genetic Algorithm and Network Security Concerns. Procedia Computer Science, 78, 13-18.
  • Pandey, H.M., Gajendran, A., 2016. Function optimization using robust simulated annealing. Advances in Intelligent Systems and Computing, 435, 347-355.
  • Pandey, H.M., 2016. Parameters quantification of genetic algorithm. Advances in Intelligent Systems and Computing, 434, 711-719.
  • Pandey, H.M., Shukla, A., Chaudhary, A., Mehrotra, D., 2016. Evaluation of genetic algorithm’s selection methods. Advances in Intelligent Systems and Computing, 434, 731-738.
  • Shukla, A., Pandey, H.M., Mehrotra, D., 2015. Comparative review of selection techniques in genetic algorithm. 2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management Ablaze 2015, 515-519.
  • Ahalya, G., Pandey, H.M., 2015. Data clustering approaches survey and analysis. 2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management Ablaze 2015, 532-537.
  • Agarwal, Y., Pandey, H.M., 2014. Performance evaluation of different techniques in the context of data mining- A case of an eye disease. Proceedings of the 5th International Conference on Confluence 2014 the Next Generation Information Technology Summit, 72-76.
  • Prakashbhai, P.A., Pandey, H.M., 2014. Inference patterns from Big Data using aggregation, filtering and tagging- A survey. Proceedings of the 5th International Conference on Confluence 2014 the Next Generation Information Technology Summit, 66-71.
  • Pandey, H.M., Dixit, A., Mehrotra, D., 2012. Genetic algorithms: Concepts, issues and a case study of grammar induction. ACM International Conference Proceeding Series.
  • Pandey, H.M., 2011. Advances in Ambiguity detection methods for formal grammars. Procedia Engineering, 24, 700-707.
  • Man, K.L., Mercaldi, M., Ma, J., Hahanov, V., Prinetto, P., Poncino, M., Macii, A., Choi, J., Li, W., Schellekens, M., Popovici, E., Dong, J.S., Al-Khalili, D., Navabi, Z., Zinchenko, L., Anjum, M.A., Narasimha, D.L., Hughes, D., Wang, J., Sathish Kumar, A.P., Jaisankar, N., Mansoor, A., Hollands, S., Mohammadi, S., Klein, F., Lim, E., Lee, K., Mahanti, P., Wan, K., Tillo, T., Wu, Y., Huang, W.C., Sasaki, M., Sahula, V., Boolchandani, D., Wang, Z., Shandilya, S.K., Voeten, J.P.M., Lei, C.U., English, T., Planas, M.M., Chung, C., Harte, S., Yin, A., Giancardi, L., Mady, A.E.D., Khandekar, P.D., Pandey, H.M., Bharti, V., Wang, Y., Lu, C., 2011. Preface of the 2011 IAENG International Conference on Electrical Engineering Special Session: Design, analysis and tools for integrated circuits and systems. Imecs 2011 International Multiconference of Engineers and Computer Scientists 2011, 2.
  • Pandey, H.M., 2010. Context free grammar induction library using genetic algorithms. 2010 International Conference on Computer and Communication Technology Iccct 2010.
  • Man, K.L., Mercaldi, M., Hahanov, V., Prinetto, P., Poncino, M., MacIi, A., Choi, J., Li, W., Schellekens, M., Popovici, E., Seon, J.K., Rossi, U., Fummi, F., Pravadelli, G., Lam, Y.F., PavLov, V., Patel, A., Huang, J., Vallee, T., Boubekeur, M., Sokolova, A., Almerares, S., Donno, M., Cho, J.D., Alam, A.Z., Provan, G., Velev, M.N., Nasir Uddin, M., Botchkarev, A., Bosnacki, D., Hickey, D., O'Keeffe, M., Krilavičius, T., Pastrnak, M., Herbert, J., Lu, Z.M., Pan, J.S., Chang, C.C., Horng, M.F., Chen, L., Lim, C.P., Tao, N.Q., Deb, S., Merniz, S., Valero, O., Yi, Y., Woods, D., Vedrine, F., Monsuez, B., Yen, K., Matsuura, T., Timothy Edwards, R., Tveretina, O., Fino, M.H., O'Riordan, A.P., Labiak, G., Gaur, M.S., Chang, J., Chung, Y.C., Derezinska, A., Cho, K.R., Zhang, Y., Liutkevičius, R., Zeng, Y., Vasudevan, D.P., Bukowiec, A., Kitsos, P., Goudarzi, M., Dong, J.S., Bhalla, A., Al-Khalili, D., Navabi, Z., Zinchenko, L., Anjum, M.A., Narasimha, D.L., Hughes, D., Tadjouddine, E.M., Wang, J., Kumar, A.P.S., Jaisankar, N., Mansoor, A., Hollands, S., Mohammadi, S., Klein, F., Westermann, P., English, T., Planas, M.M., Chung, C., Chakrabarti, A., Lei, C.U., Bamakhrama, M., Naik, B.R., Harte, S., Yin, A., Giancardi, L., Mady, A.E.D., Joseph, A., Khandekar, P.D., Pandey, H.M., 2010. DATICS-2010: Welcome message from workshop organizers: FutureTech 2010. 2010 5th International Conference on Future Information Technology Futuretech 2010 Proceedings.
  • Man, K.L., Mercaldi, M., Hahanov, V., Prinetto, P., Poncino, M., MacIi, A., Choi, J., Li, W., Schellekens, M., Popovici, E., Seon, J.K., Rossi, U., Fummi, F., Pravadelli, G., Lam, Y.F., PavLov, V., Patel, A., Huang, J., Vallee, T., Boubekeur, M., Sokolova, A., Almerares, S., Donno, M., Cho, J.D., Zahirul Alam, A.H.M., Provan, G., Velev, M.N., Uddin, M.N., Botchkarev, A., Bosnacki, D., Hickey, D., O'Keeffe, M., Krilavičius, T., Pastrnak, M., Herbert, J., Lu, Z.M., Pan, J.S., Chang, C.C., Horng, M.F., Chen, L., Lim, C.P., Tao, N.Q., Deb, S., Merniz, S., Valero, O., Yi, Y., Woods, D., Vedrine, F., Monsuez, B., Yen, K., Matsuura, T., Edwards, R.T., Tveretina, O., Fino, M.H., O'Riordan, A.P., Labiak, G., Gaur, M.S., Chang, J., Chung, Y.C., Derezinska, A., Cho, K.R., Zhang, Y., Liutkevičius, R., Zeng, Y., Vasudevan, D.P., Bukowiec, A., Kitsos, P., Goudarzi, M., Dong, J.S., Bhalla, A., Al-Khalili, D., Navabi, Z., Zinchenko, L., Anjum, M.A., Narasimha, D.L., Hughes, D., Tadjouddine, E.M., Wang, J., Kumar, A.P.S., Jaisankar, N., Mansoor, A., Hollands, S., Mohammadi, S., Klein, F., Westermann, P., English, T., Planas, M.M., Chung, C., Chakrabarti, A., Lei, C.U., Bamakhrama, M., Naik, B.R., Harte, S., Yin, A., Giancardi, L., El-Din Mady, A., Joseph, A., Khandekar, P.D., Pandey, H.M., Bharti, V., 2010. Preface of the 2010 IAENG International Conference on Electrical Engineering special session: Design, analysis and tools for integrated circuits and systems. Proceedings of the International Multiconference of Engineers and Computer Scientists 2010 Imecs 2010, 1333-1335.

Preprints

  • Pandey, H.M., Gupta, A., Sarkar, S., Tomer, M., Johannes, S., Gong, Y., 2025. GEMMA-SQL: A Novel Text-to-SQL Model Based on Large Language Models.
  • Pandey, H., 2024. Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations.
  • Pandey, H., 2024. Artificial Intelligence in Mental Health and Well-Being: Evolution, Current Applications, Future Challenges, and Emerging Evidence.
  • Pandey, H., Peepliwall, A.K., Prakash, S., Mahajan, A.A., Chowhan, S.S., Kumar, V., Sharma, R., 2024. A Prototype Model of Zero-Trust Architecture Blockchain with EigenTrust-Based Practical Byzantine Fault Tolerance Protocol to Manage Decentralized Clinical Trials.
  • Pandey, H., 2023. A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System.
  • Pandey, H., 2023. An Efficient Deep Convolutional Neural Network Model For Yoga Pose Recognition Using Single Images.
  • Pandey, H., Yadav, S.K., Luthra, A., Pahwa, E., Tiwari, K., Rathore, H., Corcoran, P., 2022. DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition.
  • Pandey, H., Yadav, S.K., Pahwa, E., Luthra, A., Tiwari, K., Corcoran, P., 2022. SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition.
  • Pandey, H., 2022. Accessible Survey of Evolutionary Robotics and Potential Future Research Directions.

PhD Students

  • Sakshi Garg, 2023. Data Analytics and QoS in Vehicular Networks, (In progress)
  • OLAYINKA JOHNNY, 2021. A Computational Model of "Artificial Intuition" in Decision Making, (Completed)
  • PEIMAN MAMANI BARNAGHI, 2022. ASPECT-BASED SENTIMENT ANALYSIS ON TEXT-BASED REVIEWS USING DEEP NEURAL NETWORKS AND EMBEDDING MODELS, (Completed)
  • Shilpi Gupta, 2022. A Proposed Prediction Model by Analyzing Contaminates On Indian Vegetation by Image Processing, (Completed)

Profile of Teaching PG

  • Artificial Intelligence (Unit Leader 2022-)
  • Research Methods and Professional Issues
  • Individual Master Project

Profile of Teaching UG

  • Machine Intelligence (Unit Leader 2022 - )

Invited Lectures

  • Drone Camera Based Human Activity Recognition, Amity University India, 06 Sep 2024 more
  • GA and Handling Premature Convergece, LISV Laboratory, Université Paris-Saclay, France, 09 May 2024 more
  • NLP and Transformer Models, Astana IT University, Kazakhstan, 23 Feb 2024 more
  • Effective Planning, Execution, Monitoring Projects, Amity University Noida, 28 Nov 2023 more
  • Deep Learning Based Transformer Models, Narula Institute of Technology, India, 13 Jul 2023 more
  • Reinforcement Learning in Computer Vision, India, 26 Aug 2022 more
  • Keynote- SHI 2022 Smart Education, Health and ICT, University of Oxford UK, 14 Mar 2022 more
  • Keynote- IEEE Conference Confluence 2022, Amity University, 28 Jan 2022 more
  • Keynote - 4th International Conference MSOTA 2021, China, 18 Dec 2021 more
  • Invited -Recent Developments Computational Biology, India, 22 Nov 2021 more
  • Keynote - ICAAAIML-2021- International Conference, India, 30 Oct 2021 more
  • Keynote - 5th International Conference ISCON 2021, India, 22 Oct 2021 more
  • Invited - Recent Trends on Soft Computing Method, India, 20 Oct 2021 more
  • Invited - Workshop on Teaching & Learning, India, 09 Jul 2021 more
  • Invited - Robotics and Artificial Intelligence, Japan, 10 Jun 2019 more
  • Invited - DREAM4CAR Workshop, DFKI Bremen Germany, 28 Feb 2018 more

External Responsibilities

Public Engagement & Outreach Activities

  • International Conference on Artificial Intelligence and Emerging Technology (AISUMMIT-2024) (https://www.bennett.edu.in/aisummit2024/) (04 Sep 2024-06 Sep 2024)
  • OCCE 2024 – IFIP TC3 Open Conference on Computers in Education (27 Feb 2024-01 Mar 2024)
  • Paper Development Workshop by IEEE CIS and INNS (20 Jun 2023)
  • Discussion on Science and Technology by Indian Institute of Indore-EBSB Club (22 Jun 2022)

Conference Presentations

  • Genetic and Evolutionary Computation Conference (GECCO), Genetic Algorithm with Modified Reproduction Operators for Grammatical Inference, 14 Jul 2024, Melbourne, Australia (Video: https://www.youtube.com/watch?v=zUyQYg50Yds)
  • International Joint Conference on Neural Networks (IJCNN), SWTA: Sparse Weighted Temporal Attention for Drone-Based Activity Recognition (Video: https://www.youtube.com/watch?v=FVdXl0appf0&list=P), 18 Jun 2023, Queensland, Australia

Honours

  • Neural Networks 2022 Best Paper Award (Neural Network Elsevier, 2022)
  • Finalist "Excellence in Education in Sustainable Development (EESD) Award" (Bournemouth University, 2022)
  • Award for completing Phase-III of Indo-US project GENTLE for transforming engineering education. (Indo-US Project Gentle by IUCEE and Inpods, 2016)
  • Award for completing Phase-II of Indo-US project GENTLE for transforming engineering education. (Indo-US Project Gentle by IUCEE and Inpods, 2015)
  • Certificate of Exceptionalism for the Best Computer Science Faculty (Association of Scientists, Developers and Faculties (ASDF) and the Government of India, 2015)
  • The Best Computer Science Faculty Global Awards for the year 2015 (Association of Scientists, Developers and Faculties (ASDF), 2015)
  • Award for completing Phase-I of Indo-US project GENTLE for transforming engineering education. (Indo-US Project GENTLE by IUCEE and INPODS, 2014)
The data on this page was last updated at 05:00 on February 18, 2026.