Hari Pandey

Dr Hari Pandey

  • Senior Lecturer in Computer Science (Data Science and AI)
  • P419 Poole House Bournemouth University
UN SDGs:
Back to top

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...

more

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"

more information

Decent work and economic growth

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

more information

Industry, innovation and infrastructure

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

more information

Partnership for the Goals

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

more information

Journal Articles

  • Sahoo, B.M., Pandey, H.M. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Mathur, M., 2022. CSITime: Privacy-preserving human activity recognition using WiFi channel state information. Neural Networks, 146, 11-21.
  • Hao, L. and Pandey, H.M., 2022. Research on the Positioning Technology of Sports 3D Teaching Action Based on Machine Vision. Mobile Networks and Applications.
  • Vijh, S., Pandey, H.M. and Gaurav, P., 2022. Brain tumor segmentation using extended Weiner and Laplacian lion optimization algorithm with fuzzy weighted k-mean embedding linear discriminant analysis. Neural Computing and Applications.
  • Yadav, S.K., Tiwari, K., Pandey, H.M. and Akbar, S.A., 2022. Skeleton-based human activity recognition using ConvLSTM and guided feature learning. Soft Computing, 26 (2), 877-890.
  • Garg, S., Mehrotra, D., Pandey, H.M. and Pandey, S., 2022. Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments. Cluster Computing.
  • Garg, S., Mehrotra, D., Pandey, H.M. and Pandey, S., 2022. Correction: Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments (Cluster Computing, (2022), 10.1007/s10586-022-03689-x). Cluster Computing.
  • Umer, S., Mondal, R., Pandey, H.M. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Pandey, H.M., 2021. SVM prediction model interface for plant contaminates. Traitement du Signal, 38 (4), 1023-1032.
  • Mangipudi, P.S., Pandey, H.M. and 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. and 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. and 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. and 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. and 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. and 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. and Madaan, R., 2021. Envisaging Variance Amid Indian Floras Owed To Contaminates Via SSIM Technique. Indian Journal of Environmental Protection, 41 (9), 1019-1026.
  • Yang, Y., Wang, G., Tiwari, P., Pandey, H.M. and Lei, Z., 2021. Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification. IEEE Transactions on Neural Networks and Learning Systems.
  • He, L., Guo, C., Tiwari, P., Pandey, H.M. and Dang, W., 2021. Intelligent system for depression scale estimation with facial expressions and case study in industrial intelligence. International Journal of Intelligent Systems.
  • Kumar, P.M., Pandey, H.M. and Srivastava, G., 2021. Special Issue on Workplace Violence Prevention using Security Robots. Work (Reading, Mass.), 68 (3), 821-823.
  • Pandey, H.M., Bansal, A. and Chaudhary, A., 2021. Editorial. International Journal of Advanced Intelligence Paradigms, 18 (2), 95-98.
  • Kang, C., Yu, X., Wang, S.H., Guttery, D.S., Pandey, H.M., Tian, Y. and 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. and 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. and 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. and Wichert, A., 2020. Quantum-like influence diagrams for decision-making. Neural Networks, 132, 190-210.
  • Qian, J., Tiwari, P., Gochhayat, S.P. and 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. and 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. and 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. and Pandey, H.M., 2020. An end-to-end exemplar association for unsupervised person Re-identification. Neural Networks, 129, 43-54.
  • Velliangiri, S. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Pandey, H.M., 2020. Person identification using fusion of iris and periocular deep features. Neural Networks, 122, 407-419.
  • Vijh, S., Gaurav, P. and Pandey, H.M., 2020. Hybrid bio-inspired algorithm and convolutional neural network for automatic lung tumor detection. Neural Computing and Applications.
  • Tan, W., Tiwari, P., Pandey, H.M., Moreira, C. and Jaiswal, A.K., 2020. Multimodal medical image fusion algorithm in the era of big data. Neural Computing and Applications.
  • Singh, S., Rajput, N.K., Rathi, V.K., Pandey, H.M., Jaiswal, A.K. and Tiwari, P., 2020. Securing Blockchain Transactions Using Quantum Teleportation and Quantum Digital Signature. Neural Processing Letters.
  • Sangaiah, A.K., Goli, A., Tirkolaee, E.B., Ranjbar-Bourani, M., Pandey, H.M. and 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. and 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. and 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. and 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. and 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. and 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. and Mehrotra, D., 2014. A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing Journal, 24, 1047-1077.

Books

Chapters

  • Pandey, H.M. and Windridge, D., 2019. A comprehensive classification of deep learning libraries. Advances in Intelligent Systems and Computing. 427-435.
  • Pandey, H.M. and 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., Yadav, S.K., Pahwa, E., Luthra, A., Tiwari, K. and Corcoran, P., 2023. SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition. In: 41st IEEE International Conference on Consumer Electronics (ICCE 2023) 6-8 January 2023 Las Vegas USA.
  • Sangher, K.S., Singh, A., Pandey, H.M. and Kalyani, L., 2023. Implementation of Threats Detection Modeling with Deep Learning in IoT Botnet Attack Environment. Smart Innovation, Systems and Technologies, 312, 585-592.
  • Pandey, H., Sangher, K.S., Singh, A. and 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 25-26 March 2022 Ahmedabad.
  • Yadav, S.K., Singh, G., Verma, M., Tiwari, K., Pandey, H.M., Akbar, S.A. and Corcoran, P., 2022. YogaTube: A Video Benchmark for Yoga Action Recognition. Proceedings of the International Joint Conference on Neural Networks, 2022-July.
  • Yadav, S.K., Kera, S.B., Gonela, R.V., Tiwari, K., Pandey, H.M. and Akbar, S.A., 2022. TBAC: Transformers Based Attention Consensus for Human Activity Recognition. Proceedings of the International Joint Conference on Neural Networks, 2022-July.
  • Yadav, S.K., Deshmukh, A., Gonela, R.V., Kera, S.B., Tiwari, K., Pandey, H.M. and Akbar, S.A., 2022. MS-KARD: A Benchmark for Multimodal Karate Action Recognition. Proceedings of the International Joint Conference on Neural Networks, 2022-July.
  • Yadav, S.K., Agrawal, P., Tiwari, K., Adeli, E., Pandey, H.M. and Akbar, S.A., 2022. WTM: Weighted Temporal Attention Module for Group Activity Recognition. Proceedings of the International Joint Conference on Neural Networks, 2022-July.
  • Nasar, N., Ray, S., Umer, S. and 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. and 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. and 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. and 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. and 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. and 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. and 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, 469-482.
  • Pandey, H.M. and Windridge, D., 2021. A genetic deep learning model for electrophysiological soft robotics. Advances in Intelligent Systems and Computing, 1221 AISC, 145-151.
  • Li, Q., Cao, Z., Tanveer, M., Pandey, H.M. and 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. and 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. and 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. and 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. and Mishra, V., 2018. Performance comparison of pattern search, simulated annealing, genetic algorithm and jaya algorithm. Advances in Intelligent Systems and Computing, 542, 377-384.
  • Shahnawaz, M., Saxena, K., Pandey, H.M. and IEEE, 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. and 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. and 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. and 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. and Mehrotra, D., 2016. Evaluation of genetic algorithm’s selection methods. Advances in Intelligent Systems and Computing, 434, 731-738.
  • Shukla, A., Pandey, H.M. and 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. and 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. and 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. and 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. and Mehrotra, D., 2012. Genetic algorithms: Concepts, issues and a case study of grammar induction. ACM International Conference Proceeding Series, 263-271.
  • Pandey, H.M., 2011. Advances in Ambiguity detection methods for formal grammars. Procedia Engineering, 24, 700-707.
  • Man, K.L., Pandey, H.M. et al., 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, 1028-1030.
  • Pandey, H.M., 2010. Context free grammar induction library using genetic algorithms. 2010 International Conference on Computer and Communication Technology, ICCCT-2010, 752-758.
  • Man, K.L., Pandey, H.M. et al., 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.
  • Man, K.L., Pandey, H.M. et al., 2010. DATICS-2010: Welcome message from workshop organizers: FutureTech 2010. 2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings.

Preprints

  • Pandey, H., Yadav, S.K., Pahwa, E., Luthra, A., Tiwari, K. and 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

  • 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)
  • Sakshi Garg, 2023. Data Analytics and QoS in Vehicular Networks, (In progress)
  • 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

Profile of Teaching UG

  • Machine Intelligence (Unit Leader 2022 - )

Invited Lectures

  • 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

  • Web Usage in Real World "वास्तविक दुनिया परिदृश्य में वेब विकास के अनुप्रयोग" for school students

Honours

  • Finalist "Excellence in Education in Sustainable Development (EESD) Award" (Bournemouth University, 2022)
  • Neural Networks 2022 Best Paper Award (Neural Network Elsevier, 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)