Selected Publications

 Journal Articles

• Pandey, H., Aslam, M.S., Tiwari, P. 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, (IF = 12.253).

• 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, Elsevier 250, (IF = 8.139).

• 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).

• 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, Elsevier 121, (IF = 8.263)

• 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.

• 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, Elsevier 239, (IF = 8.139).

• ·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, Elsevier 146, 11-21, (IF = 9.657).

• 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, (IF = 12.253).

• 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, (IF = 3.732).

• 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, (IF = 5.102).

• Hao, L. and Pandey, H.M., 2022. Research on the Positioning Technology of Sports 3D Teaching Action Based on Machine Vision. Mobile Networks and Application (IF = 3.077).

• 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 (IF = 3.488).

• 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, (IF = 2.303).

• L. He, C. Guo, P. Tiwari, R. Su, H. M. Pandey, W Dang. DepNet: An Automated Industrial Intelligent System using Deep Learning for Video-based Depression Analysis, in International Journal of Intelligent Systems, Wiley (IF = 8.709).

• S. K. Yadav, K. Tiwari, H. M. Pandey, S. A. Akbar. ARFDNet: An Efficient Activity Recognition & Fall Detection System using Latent Feature Pooling, in Knowledge Based Systems, Elsevier, (Impact Factor = 8.139).

• B. M. Sahoo, H. M. Pandey & T. Amgoth. A Genetic Algorithm Inspired Optimized Cluster Head Selection Method in Wireless Sensor Networks, Swarm and Evolutionary Computation, Elsevier, (Impact Factor = 10.267).

• S. Umer, R. Mondal, H. M. Pandey and R. K. Rout. Deep Features Based Convolutional Neural Network Model for Text and Non-Text Region Segmentation from Document Images, in Applied Soft Computing, Elsevier (IF = 8.263).

• Y. Yang, Z. Tan, P. Tiwari, H. M. Pandey, J. Wan, Z. Lei, G. Guo, S. Z. Li (Accepted/In press). Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition, in International Journal of Computer Vision, Springer (IF = 13.369).

• H.M. Pandey and Liu-Hao. Research on the Positioning Technology of Sports 3D Teaching Action Based on Machine Vision. Mobile Networks and Applications, Springer, (IF = 3.077).

• C. Zhu, B. Qin, F. Xiao, Z. Cao, H. M. Pandey. A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion, in Information Sciences, Elsevier, Vol. 570, September 2021, pp. 306 – 322, (IF = 8.233).

• Y. Zhang, Y. Liu, Q. Li, P. Tiwari, B. Wang, Y. Li, H. M. Pandey, P. Zhang and D. Song. CFN: A Complex-valued Fuzzy Network for Sarcasm Detection in Conversations. in IEEE Transactions on Fuzzy Systems, (IF = 12.253).

• H. M. PANDEY, He, L., Guo, C., Tiwari, P., & Dang, W. Intelligent System for Depression Scale Estimation with Facial Expressions and Case Study in Industrial Intelligence. International Journal of Intelligent Systems (IF = 10.312)

• S. k. Yadav, K. Tiwari, H. M. Pandey & S.A. Akbar. A Review of Multimodal Human Activity Recognition with Special Emphasis on Classification, Applications, Challenges and Future Directions. Knowledge-Based Systems, Elsevier (IF = 8.139).

• H. M Pandey, Marcello Trovati, Nik Bessis. “Statistical Exploratory Analysis of Mask-fill Reproduction Operators of Genetic Algorithms”, Accepted in Applied Soft Computing, Elsevier, (IF = 8.263).

• H. M. Pandey, “Secure Medical Data Transmission Using a Fusion of Bit Mask Oriented Genetic Algorithm, Encryption and Steganography” in Future Generation Computer Systems, Elsevier, (IF = 7.307).

• Sahoo, B. M., Pandey, H. M., & Amgoth, T. GAPSO-H: A hybrid approach towards optimizing the cluster-based routing in wireless sensor network. Swarm and Evolutionary Computation, Elsevier (IF = 10.263).

• S. Garg, D. Mehrotra, H. M. Pandey & S. Pandey. “Accessible Review of Internet of Vehicle Models for Intelligent Transportation and Research Gaps for potential Future Directions”. Peer-to-Peer Networking and Applications, Springer (IF = 3.307).

• Vijh, S., Gaurav, P., & Pandey, H. M. (2020). Hybrid bio-inspired algorithm and convolutional neural network for automatic lung tumor detection. Neural Computing and Applications, Springer, (IF = 5.102).

• P. Sarthi, H.M. Pandey and A. Choudhary. “Improved Optic Disc and Cup Segmentation in Glaucomatic Images Using Deep Learning Architecture.” Accepted for publication in Multimedia Tools and Applications, Springer, (IF 2.577).

• B.M. Sahoo, T. Amgoth, and H. M. Pandey. "Particle Swarm Optimization Based Energy Efficient Clustering and Sink Mobility in Heterogeneous Wireless Sensor Network." Ad Hoc Networks, Elsevier (2020): 102237, (IF = 4.816).

• Zhang, Yazhou, Prayag Tiwari, Dawei Song, Xiaoliu Mao, Panpan Wang, Xiang Li, and H. M. Pandey. "Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis." Neural Networks 133 (2020): 40-56. (IF = 9.657).

• Qian, Jia, Lars Kai Hansen, Xenofon Fafoutis, Prayag Tiwari, and Hari Mohan Pandey. "Robustness analytics to data heterogeneity in edge computing." Computer Communications (2020). (IF = 5.047).

• S. Umer, P. P. Mohanta, R. K. Rout, and H. M. Pandey. "Machine learning method for cosmetic product recognition: a visual searching approach." Multimedia Tools and Applications, Springer (2020): 1-27. (Impact Factor = 2.577).

• W. Tan, P. Tiwari, H. M. Pandey, C. Moreira, and A. K. Jaiswal. "Multimodal medical image fusion algorithm in the era of big data." Neural Computing and Applications, Springer (2020): 1-21. (IF = 5.102).

• C. Moreira, P. Tiwari, H. M. Pandey, P. Bruza, and A. Wichert. "Quantum-like influence diagrams for decision-making." Neural Networks, Elsevier (2020). (IF = 9.657).

• A. Waheed, M. Goyal, D. Gupta, A. Khanna, A. E. Hassanien, and H. M. Pandey. "An optimized dense convolutional neural network model for disease recognition and classification in corn leaf." Computers and Electronics in Agriculture, Elsevier 175 (2020): 105456. (IF = 6.757).

• S. Singh, N. K. Rajput, V. K. Rathi, H. M. Pandey, A. K. Jaiswal, and P. Tiwari. "Securing Blockchain Transactions Using Quantum Teleportation and Quantum Digital Signature." Neural Processing Letter, Springer (2020), (IF = 2.565).

• S. Bebortta, D. Senapati, N. K. Rajput, A. K. Singh, V. K. Rathi, H. M. Pandey, A. K. Jaiswal, J. Qian and P. Tiwari. "Evidence of power-law behavior in cognitive IoT applications." Neural Computing and Applications (2020): 1-13, (IF = 5.102).

• Y. Yang, T. Zhang, J. Cheng, Z. Hou, P. Tiwari, and H. M. Pandey. "Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification." Neural Networks, Elsevier (2020), (IF = 9.657).

• W. Jinlin, Y. Yang, Z. Lei, J. Wang, S. Z. Li, P. Tiwari and H. M. Pandey. "An end-to-end exemplar association for unsupervised person Re-identification." Neural Networks, Elsevier, (IF = 9.657).

• A. K. Sangaiah, A Goli, E. B.Tirkolaee, M. Ranjbar-Bourani, H. M. Pandey and W. Zhang. "Big Data-Driven Cognitive Computing System for Optimization of Social Media Analytics." IEEE Access, (IF = 3.367).

• C. Kang, X. Yu, S. Wang, D. Guttery, H. M. Pandey, Y. Tian and Y. Zhang. “A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring” in IEEE Transactions on Fuzzy Systems, (IF = 12.253).

• S. Velliangiri and H. M. Pandey, “Fuzzy-Taylor- Elephant Herd Optimization Inspired Deep Belief Network for DDoS Attack Detection and Comparison with State-of-the-Arts Algorithms” in Future Generation Computer Systems, Elsevier, (IF = 7.307).

• Jia Qian, Prayag Tiwari, Sarada Prasad Gochhayat, Hari Mohan Pandey, “A noble double dictionary based ECG Compression Technique for IoTH” in IEEE Internet of Things Journal, (IF = 10.238).

• G. Dhiman, M. Soni, H. M. Pandey, A. Slowik and H. Kaur. A novel hybrid hypervolume indicator and reference vector adaptation strategies based evolutionary algorithm for many-objective optimization. Engineering with Computers, Springer 1-19. (IF = 8.083).

• Qi Li, Zehong Cao, M. Tanveer, H. M. Pandey and Chen Wang. “An Effective Reliability Evaluation Method for Power Communication Network Based on Community Structure”, in IEEE Transactions on Industrial Applications, (IF = 4.079).

• K. Shankar, A.Wahab, D. Gupta, S. K. Lakshmanaprabu, A. Khanna and H. M. Pandey. "Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model." Pattern Recognition Letters, (IF = 4.757).

• Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, H.M. Pandey, Shuihua Wang, M.Tanveer. “Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data”, in Neural Networks, Elsevier, (IF = 9.657).

• Lee Shin-Jye, Tseng Ching-Hsun, Lin G.T.–R., Yang Yun, Yang Po, Muhammad Khan, and H. M. Pandey. “A dimension-reduction based multilayer perception method for supporting the medical decision making”, in Pattern Recognition Letter, Elsevier, (IF = 4.757).

• S. Bebortta, D. Senapati, N. K. Rajput, A. K. Singh, V. K. Rathi, H. M. Pandey, A. K. Jaiswal, J. Qian, P. Tiwar. “Evidence of Power-law Behavior in Cognitive IoT Applications” accepted in Neural Computing and Applications, Springer, (IF = 5.102).

• Qi Li, Z. Cao, M. Tanveer, H. M. Pandey and C. Wang.  “A Semantic Collaboration Method Based on Uniform Knowledge Graph” in IEEE Internet of Things Journal, (IF = 10.238).

• X. Xu, N. Hu, M. Trovati, J. Ray, F. Palmieri and H. M. Pandey. “DLCD-CCE: A Local Community Detection Algorithm for Complex IoT Networks” in IEEE Internet of Things Journal. (IF = 10.238).

• S. Umer, A. Sardar, B. C. Dhara, R. K. Rout and H. M. Pandey. “Person Identification using Fusion of Iris and Periocular Deep Features”, Neural Network Elsevier, (IF = 9.657).

• N. Nasreen, S. Ray, S. Umer and H. M. Pandey. "Design and data analytics of electronic human resource management activities through Internet of Things in an organization." Software: Practice and Experience, Wiley, (IF = 3.200).

• Kumar Rout, R., Hassan, SK. S. S. Sindhwant., H. M Pandey. MOHAN., & Umer, S. (Accepted/In press). Intelligent Classification and Analysis of Essential Genes Species Using Quantitative Methods. ACM Transactions on Multimedia Computing, Communications, and Applications, (IF = 3.144).

• J. Li, R. Hu, X. Liu" , P. Tiwari,  H. M. Pandey, B. Wang, W. Chen, Y.  Jing and K. Yang, "A Distant Supervision Method based on Paradigmatic Relations for Learning Word Embedding”, in Neural Computing and Application, Springer. (IF = 5.102).

• A. P. Agrawal, A. Choudhary, A. Kaur and H. M. Pandey, "Fault Coverage Based Test Suite Optimization Method for Regression Testing: Learning from Mistakes Based Approach" in Neural Computing and Application, Springer, (IF = 5.102).

• R. Rout, S. P. Maity, "P. P. Choudhury, J. K. Das, S. k. Sarif Hassan and H.M. Pandey "Analysis of Boolean functions based on Interaction graphs and their influence in System Biology", in Neural Computing and Application, Springer, (IF = 5.102).

• K. Bhattacharjee, S. Kumar, H. M. Pandey and M. Pant. “An Improved Block Matching Algorithm for Motion Estimation in Video Sequences and Robotics ”. Computer and Electrical Engineering, Elsevier (2018) (IF = 4.152).

• H. M.Pandey, A. Chaudhary and D. Mehrotra “Bit Mask Oriented Genetic Algorithm for Grammatical Inference and Premature Convergence”, in International Journal of Bio-Inspired Computation,  (IF = 3.977).

• H.M. Pandey, A. Chaudhary, and D. Mehrotra. "Grammar induction using bit masking oriented genetic algorithm and comparative analysis." Applied Soft Computing 38 (2016): 453-468, ISSN 1568-4946. (IF = 8.263).

• H. M. Pandey, A. Chaudhary, D. Mehrotra and G. Kendall "Maintaining regularity and generalization in data using the minimum description length principle and genetic algorithm: Case of grammatical inference. "Swarm and Evolutionary Computation, Elsevier, (IF = 10.267).

• H. M. Pandey, A. Chaudhary and D. Mehrotra. "A comparative review of approaches to prevent premature convergence in GA."  Applied Soft Computing, Elsevier. (IF = 8.263).

Books

• Artificial Intelligence and Blockchain in Digital Forensics (1st ed.). Editor: P. Karthikeyan, Hari Mohan Pandey, Velliangiri Sarveshwaran. (Eds.). Taylor & Francis Group, 2023, DOI: https://doi.org/10.1201/9781003374671

• Applications of Artificial Intelligence and Machine Learning: Select Proceedings of ICAAAIML 2021 (Lecture Notes in Electrical Engineering Book 925), Editors: Bhuvan Unhelker, Hari Mohan Pandey, Gaurav Raj, DOI: https://doi.org/10.1007/978-981-19-4831-2

• Proceedings of International Conference on Machine Intelligence and Data Science Applications MIDAS 2020, Springer, Editors: Manish Prateek, T. P. Singh, Tanupriya Choudhury, Hari Mohan Pandey, Nguyen Gia Nhu, DOI: https://doi.org/10.1007/978-981-33-4087-9

• State of the Art on Grammatical Inference Using Evolutionary Method, 1st Edition - November 13, 2021, Elsevier, Author: Hari Mohan Pandey, DOI: https://doi.org/10.1016/C2019-0-04072-1

• Robust Engineering Experiment Design: Theory and Practice a Systematic Way to Engineering Experiment Design.  Scholars' Press (9 Aug. 2016) Author: Hari Mohan Pandey

• Exploring Genetic Algorithm’s Selection Approaches. Scholars' Press (2015). Author: Hari Mohan Pandey

• Java Programming. Pearson Education (2011). Author: Hari Mohan Pandey

• Object Oriented Programming C++ Simplified. University Science Press (2009). Author: Hari Mohan Pandey

• Trouble Free C. University Science Press (2009). Author: Hari Mohan Pandey

• Data Structure and Algorithm. University Science Press (2009). Author: Hari Mohan Pandey

• Design Analysis and Algorithm. University Science Press (2008). Author: Hari Mohan Pandey

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. M, 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. 

• Yadav, S., Singh, G., Verma, M., Tiwari, K., Pandey, H. M., Akbar, S.A. and Corcoran, P., 2022. YogaTube: A Video Benchmark for Yoga Action Recognition. In: WCCI 2022 International Joint Conference on Neural Networks (IJCNN) 18-23 July 2022 University of Padua Italy. IEEE WCCI2022.

• Yadav, S., 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. In: IEEE WCCI 2022 International Joint Conference on Neural Networks (IJCNN 2022) 18-23 July 2022 University Padua Italy.

• Yadav, S., Deshmukh, A., Gonela, R., Kera, S., Tiwari, K., Pandey, H. M and Akbar, S.A., 2022. MS-KARD: A Benchmark for Multimodal Karate Action Recognition. In: IEEE WCCI 2022 International Joint Conference on Neural Networks (IJCNN 2022) 18-23 July 2022 University of Padua Italy. IEEE Explorer.

• Yadav, S., Agrawal, P., Tiwari, K., Adeli, E., Pandey, H. M and Akbar, S.A., 2022. WTM: Weighted Temporal Attention Module for Group Activity Recognition. In: IEEE WCCI 2022 International Joint Conference on Neural Networks (IJCNN 2022) 18-23 July 2022 University of Padua Italy. IEEE.

• H. M. Pandey and A. Jain, "Human Cognition to Analyze Alcohol Use Disorder and Correlation with Internet Gaming Disorder," 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2021, pp. 882-887, doi: 10.1109/CSCWD49262.2021.9437842.

• H. M. Pandey and A. Jain, "Human Cognitive Features to Define Correlation Between Depression and Internet Gaming Disorder," 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2021, pp. 888-893, doi: 10.1109/CSCWD49262.2021.9437639.

• B. M. Sahoo, R. K. Rout, S. Umer and H. M. Pandey, "ANT Colony Optimization based Optimal Path Selection and Data Gathering in WSN," 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM), 2020, pp. 113-119, doi: 10.1109/ICCAKM46823.2020.9051538.

• Aggarwal S., Bhatia M., Pandey H.M. (2020) A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming. in proceedings of ICETIT 2019. Lecture Notes in Electrical Engineering, vol 605. Springer, Cham. https://doi.org/10.1007/978-3-030-30577-2_100

• H. M. Pandey, “A Modified Whale Optimization Algorithm with Multi-Objective Criteria for Optimal Robot Path Planning”. In Advances in Data Science conference, Manchester University, 20-21 May 2019. Visit: http://www.datascience.manchester.ac.uk/media/1669/a-modified-whale-optimization-algorithm-with-multi-objective-criteria-for-optimal-robot-path-planning.pdf

• H. M. Pandey and David Windridge. "A genetic deep learning model for electrophysiological soft robotics." International Workshop Soft Computing Applications. Springer, Cham, 2018, DOI: https://doi.org/10.1007/978-3-030-51992-6_12

• H. M. Pandey and Windridge D. (2019) A Comprehensive Classification of Deep Learning Libraries. in Third International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 797. Springer, Singapore. https://doi.org/10.1007/978-981-13-1165-9_40 

• M. Shahnawaz, K. Saxena and H. M. Pandey, "Analysis & Design of Data Farming Algorithm for Cardiac Patient Data," 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2018, pp. 1-5, doi: 10.1109/CONFLUENCE.2018.8442527.

• D. Kumar Roy and H. M. Pandey, "A New Clustering Method Using an Augmentation to the Self Organizing Maps," 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2018, pp. 739-742, doi: 10.1109/CONFLUENCE.2018.8442431.

• H. M. Pandey, Rajput M., Mishra V. Performance Comparison of Pattern Search, Simulated Annealing, Genetic Algorithm and Jaya Algorithm. in Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542. Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_36.

• H. M. Pandey. Genetic Algorithm and Particle Swarm Optimization: Analysis and Remedial Suggestions. In Computer Communication, Networking, and Internet Security. Lecture Notes in Networks and Systems, vol 5. Springer, Singapore. https://doi.org/10.1007/978-981-10-3226-4_44.

• H.M. Pandey and N. Jain. Performance Evaluation of Reproduction Operators in Genetic Algorithm. in Computer Communication, Networking, and Internet Security. Lecture Notes in Networks and Systems, vol 5. Springer, Singapore. https://doi.org/10.1007/978-981-10-3226-4_46.

• H. M. Pandey, A. Shukla, A. Chaudhary, D. Mehrotra. Evaluation of Genetic Algorithm’s Selection Methods. in Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 434. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2752-6_72 .

• H. M. Pandey, A. Chaudhary, D. Mehrotra and Yudong Zhang, "The BMODS: A powerful 2-D representation scheme for the GA's population," 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence), 2016, pp. 51-52, doi: 10.1109/CONFLUENCE.2016.7508046.

• H. M. Pandey. Parameters Quantification of Genetic Algorithm. in Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 434. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2752-6_70

• H. M. Pandey and A. Gajendran. Function Optimization Using Robust Simulated Annealing. In Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 435. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2757-1_35

• H. M. Pandey, "Jaya a novel optimization algorithm: What, how and why?," 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence), 2016, pp. 728-730, doi: 10.1109/CONFLUENCE.2016.7508215.

• S. Sharma and H. M. Pandey, "Genetic Algorithm, Particle Swarm Optimization and Harmony Search: A quick comparison," 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence), 2016, pp. 40-44, doi: 10.1109/CONFLUENCE.2016.7508044.

• H. M. Pandey, "Solving lecture time tabling problem using GA," 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence), 2016, pp. 45-50, doi: 10.1109/CONFLUENCE.2016.7508045.

• G. Ahalya and H. M. Pandey, "Data clustering approaches survey and analysis," 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015, pp. 532-537, doi: 10.1109/ABLAZE.2015.7154919.

• A. Shukla, H. M. Pandey and D. Mehrotra, "Comparative review of selection techniques in genetic algorithm," 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015, pp. 515-519, doi: 10.1109/ABLAZE.2015.7154916.

• H. M. Pandey. "Reward Feedback and Success for Inspiring Creative Minds: An Inspirational Model." Journal of Engineering Education Transformations (2015): 47-51, DOI: http://dx.doi.org/10.16920/jeet%2F2015%2Fv0i0%2F59454.

• P. A. Prakashbhai and H. M. Pandey, "Inference patterns from Big Data using aggregation, filtering and tagging- A survey," 2014 5th International Conference - Confluence the Next Generation Information Technology Summit (Confluence), 2014, pp. 66-71, doi: 10.1109/CONFLUENCE.2014.6949238.

• Y. Agarwal and H. M. Pandey, "Performance evaluation of different techniques in the context of data mining- A case of an eye disease," 2014 5th International Conference - Confluence the Next Generation Information Technology Summit (Confluence), 2014, pp. 72-76, doi: 10.1109/CONFLUENCE.2014.6949239.

• H. M. Pandey and A. Turner. “IPLP: A Method to Deliver Programming Techniques by Making Analogy”. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2012. http://worldcomp-proceedings.com/proc/p2012/FEC4710.pdf

• H. M. Pandey, A. Dixit and D. Mehrotra. Genetic algorithms: concepts, issues, and a case study of grammar induction. In proceedings of the CUBE International Information Technology Conference (CUBE '12). Association for Computing Machinery, New York, NY, USA, 263–271. DOI: https://doi.org/10.1145/2381716.2381766

• H. M. Pandey. “Advances in ambiguity detection methods for formal grammars”. Procedia Engineering, Elsevier, ISSN:1877-7058, 24, pp. 700-707, 2011 https://doi.org/10.1016/j.proeng.2011.11.2722

• Panwar, N., Vala, N., Rajpal, K., & Pandey, H. M. (2012). Developing 3D Game for Android OS:" SNAFDROID". International Journal of Machine Learning and Computing, 2(5), 689.

• H. M. Pandey, "Context free grammar induction library using Genetic Algorithms," 2010 International Conference on Computer and Communication Technology (ICCCT), 2010, pp. 752-758, doi: 10.1109/ICCCT.2010.5640442.

• H. M. Pandey. “Natural Language Grammar Induction Using Genetic and Parallel Genetic Algorithms” in International Conference of Computer Application (ICCA) 2010 doi:10.3850/978-981-08-7304-2_0294.

Patents

• “TAG System: A Novel Approach to the Process Authentication”. Application No: 167/DEL/2016

• “Method and system for IoT based setting of display properties of the display device”. Application No: 201711042952 A

Preprints

• Pandey, H. M. (2022). Accessible Survey of Evolutionary Robotics and Potential Future Research Directions. arXiv preprint arXiv:2210.11704.

• Jaiswal, A. K., Tiwari, P., Rathi, V. K., Qian, J., Pandey, H. M., & Albuquerque, V. H. C. (2020). Covidpen: A novel covid-19 detection model using chest x-rays and ct scans. Medrxiv.

• Pandey, H.M., Jain, A (2020). Human cognition to analyse alcohol use disorder and correlation with internet gaming disorder, Repository: TechRxiv.

Dataset

• Pandey, Hari Mohan; Yadav, Santosh Kumar; Agarwal, Aayush; Kumar, Ashish; Tiwari, Kamlesh; Akbar, Shaik Ali (2022), “Data for: YogNet: A Two-Stream Network for Realtime Multiperson Yoga Action Recognition and Posture Correction”, Mendeley Data, V1, doi: 10.17632/k842kz6v4n.1. Visit: https://data.mendeley.com/datasets/k842kz6v4n/1

Research Projects

EDUFUSION: Fusion of Human Cognitive Features, Neurobiology and Flipped Classes for Analyzing and Improving Students Performance at Higher Education Level

PANDEY, H. M. (PI) & Bessis, N. (Co-PI)

Project: Research

DEEPH-Sentiment Analyzer: Deep CNN model for Hybridization of Human Cognitive Features and Neurobiology for Sentiment Analysis Based on Video Contents

PANDEY, H. M. (PI)

4/06/20 → 3/06/21

Project: Research

INDO-US Project - GENTLE: Transforming Engineering Education

PANDEY, H. M. (PI)

5/09/2014 - 20/1/2016

Project: IUCEE and Inpods joint project.

EU- H2020 - DREAM4CAR

PANDEY, H. M. (Postdoc Research Fellow Machine Learning)

Project: Research

Demo: Research Projects and Presentations

Books : Published and Upcoming