Dr. Mittal is an Associate Professor in the Department of Artificial Intelligence and Data Sciences, Indira Gandhi Delhi Technical University for Women, India. Priori to this, he was working in Computer Science Department of Jaypee Institute of Information Technology, India. He received his Ph.D. in the field of computer vision under the supervision of Dr. Mukesh Saraswat. The keen research areas of Dr. Mittal are image analysis, machine learning, and evolutionary algorithms. He has an excellent academic record as well as research background with the papers in reputed journals including IEEE Transactions. Also, he has been the co-principal investigator of the research project funded by the Science and Engineering Research Board, Department of Science and Technology, India. Dr. Mittal is also reviewer of many International Journals and Conferences.
Automatic quantification and classification of leukocytes in microscopic images are of paramount importance in the perspective of disease identification, its progress and drugs development. Extracting numerical values of leukocytes from microscopic images of blood or tissue sections represents a tricky challenge. Despite the increasing sophistication of modern diagnostic tools, pathological anatomy is still the principal means by which most of the diagnosis proceeds. Therefore, this project focus on automating the identify of leukocytes, transmigrated into skin, for reducing time consumption and providing quantitative data for biologist/scientist of preclinical drug development.
Raju Pal, Ashish Kumar Tripathi, Avinash Chandra Pandey, Mohammad Ayoub Khan, Varun G Menon, Himanshu Mittal. "A N2CNN-Based Anomaly Detection Method for Cardiovascular Data in Cyber-Physical System." IEEE Transactions on Network Science and Engineering, 2022. [Paper]
Mohammad Sajid, Himanshu Mittal, Shreya Pare, Mukesh Prasad. "Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach." Applied Soft Computing, Elsevier, 2022. [Paper]
Himanshu Mittal, Ashish Kumar Tripathi, Avinash Chandra Pandey, P Venu, Varun G Menon, Raju Pal. "A novel fuzzy clustering-based method for human activity recognition in cloud-based industrial IoT environment." Wireless Networks, Springer, 2022. [Paper]
Himanshu Mittal, Ashish Kumar Tripathi, Avinash Chandra Pandey, Mohammad Dahman Alshehri, Mukesh Saraswat, Raju Pal. "A new intrusion detection method for cyber-physical system in emerging industrial IoT." Computer Communications, Elsevier, vol. 190, pp. 24-35, 2022. [Paper]
Roop Singh, Himanshu Mittal, Raju Pal. "Optimal keyframe selection-based lossless video-watermarking technique using IGSA in LWT domain for copyright protection." Complex & Intelligent Systems, Springer, vol. 8, pp. 1047–1070, 2021. [Paper]
Himanshu Mittal, Avinash Chandra Pandey, Mukesh Saraswat, Sumit Kumar, Raju Pal, and Garv Modwel. "A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets." Multimedia Tools and Applications, Springer, pp. 1-26, 2020. [Paper]
Raju Pal, Mukesh Saraswat, and Himanshu Mittal, "Improved Bag-of-Features using Grey Relational Analysis for Classification of Histology Images", Complex & Intelligent Systems, Springer. [Paper]
Himanshu Mittal, Avinash Chandra Pandey, Raju Pal, and Ashish Kumar Tripathi, "A new clustering method for the diagnosis of CoVID19 using medical images", Applied Intelligence, Springer. [Paper]
Himanshu Mittal and Mukesh Saraswat. "A new fuzzy cluster validity index for hyper-ellipsoid or hyper-spherical shape close clusters with distant centroids." IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2020.3016339. [Paper]
Himanshu Mittal, Ashish Tripathi, Avinash Chandra Pandey, and Raju Pal. "Gravitational search algorithm: a comprehensive analysis of recent variants." Multimedia Tools and Applications, Springer, pp. 1-28, 2020. [Paper]
Ashish Kumar Tripathi, Himanshu Mittal, Pranav Saxena, and Siddharth Gupta. "A new recommendation system using map-reduce-based tournament empowered Whale optimization algorithm." Complex & Intelligent Systems, Springer, pp. 1-13, 2020. [Paper]
Himanshu Mittal and Mukesh Saraswat. "An automatic nuclei segmentation method using intelligent gravitational search algorithm based superpixel clustering." Swarm and Evolutionary Computation, Elsevier, Vol 45, pp. 15-32, 2019. [Paper]
Himanshu Mittal and Mukesh Saraswat, "An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm", Engineering Applications of Artificial Intelligence, Elsevier, Vol. 71, pp. 226-235, 2018. [Paper] [Code]
Himanshu Mittal and Mukesh Saraswat,"An image segmentation method using logarithmic kbest gravitational search algorithm based superpixel clustering", Evolutionary Intelligence, Springer, Vol. 12, pp. 1-13, 2018. [Paper]
Himanshu Mittal, Mukesh Saraswat, Jagdish Bansal and Atulya Nagar, "Feature selection for Fake-Face Image Classification using Improved Quantum-Inspired Evolutionary Algorithm", in Proc. of IEEE Symposium Series on Computational Intelligence, Australia, pp. 989-995, 2020. [Paper]
Himanshu Mittal, Raju Pal and Mukesh Saraswat, “Histopathological Image Classification by Optimized Neural Network using IGSA”, in Lecture Notes of Springer International Conference on Distributed Computing and Internet Technology, pp. 429-436, 2020. [Paper]
Avinash Chandra Pandey, Ashish Kumar Tripathi, Raju Pal, Himanshu Mittal, and Mukesh Saraswat, "Spiral Salp Swarm Optimization Algorithm", in Proc. of IEEE International Conference on Information Systems and Computer Networks, India, pp. 722-727, 2019. [Paper]
Raju Pal, Himanshu Mittal, and Mukesh Saraswat, "Optimal Fuzzy Clustering by Improved Biogeography-based Optimization for Leukocytes Segmentation, in Proc. of IEEE International Conference on Image Information Processing, India, pp. 74-79, 2019. [Paper]
Tejasv Agarwal, and Himanshu Mittal, "Performance Comparison of Deep Neural Networks on Image Datasets", in Proc. of IEEE International Conference on Contemporary Computing, India, pp. 1-6, 2019. [Paper]
Yajurv Bhatia, Aman Bajpayee, Deepanshu Raghuvanshi, and Himanshu Mittal. "Image Captioning using Google's Inception-resnet-v2 and Recurrent Neural Network", in Proc. of IEEE International Conference on Contemporary Computing, India, pp. 1-6, 2019. [Paper]
Himanshu Mittal and Mukesh Saraswat,"Classification of histopathological images through bag-of-visual-words and gravitational search algorithm", in Lecture Notes of Springer International Conference on Soft Computing for Problem Solving, India, pp. 231-241, 2018. [Paper]
Himanshu Mittal and Mukesh Saraswat, "cKGSA based fuzzy clustering method for image segmentation of RGB-D images", in Proc. of IEEE International Conference on Contemporary Computing, India, pp. 1–6, 2018. [Paper]
Vibhor Gupta, Avneet Singh, Kapil Sharma, and Himanshu Mittal, "A novel differential evolution test case optimisation (detco) technique for branch coverage fault detection", in Lecture Notes of Springer International Conference on Smart Computing and Informatics, Singapore, pp. 245-254, 2018. [Paper]
Kartikeya Jaiswal, Himanshu Mittal, and Sonia Kukreja, "Randomized grey wolf optimizer (RGWO) with randomly weighted coefficients", in Proc. of IEEE International Conference on Contemporary Computing, India, pp. 1–3, 2017. [Paper]
Pavit Singh Sapra and Himanshu Mittal. "Secured LSB modification using dual randomness", in Proc. of IEEE International Conference on Recent Advances and Innovations in Engineering, India, pp. 1-4, 2016. [Paper]
Raju Pal, Himashu Mittal, Avinash Pandey, and Mukesh Saraswat,"BEECP: Biogeography optimization-based energy efficient clustering protocol for HWSNs", in Proc. of IEEE International Conference on Contemporary Computing, India, pp. 1-6, 2016. [Paper]
Ankur Kulhari, Avinash Pandey, Raju Pal, and Himashu Mittal,"Unsupervised data classification using modified cuckoo search method", in Proc. of IEEE International Conference on Contemporary Computing, India, pp. 1-5, 2016. [Paper]
Himanshu Mittal,"Diffie-Hellman Based Smart-Card Multi-server Authentication Scheme", in Proc. of IEEE International Conference on Computational Intelligence and Communication Networks, India, pp. 14-16, 2014. [Paper]
Raju Pal, Himanshu Mittal, Avinash Pandey, and Mukesh Saraswat, "An Efficient Bag-of-Features for Diseased Plant Identification", Computer Vision and Machine Learning in Agriculture, Springer, pp. 159-172, 2021.[Chapter]
This new volume explores the latest cutting-edge research in medical image analysis. The advanced intelligent technologies discussed include machine learning, ensemble methods in machine learning, deep learning methods and firebase technology, infrared thermography, deep convolution neural networks, and more. Some of the specific uses of these technologies include for brain tumor MRIs, for breast cancer screening, for polycystic ovary syndrome classification, for detecting and monitoring Alzheimer’s disease, for monitoring of newborns, for retinal disease diagnosis, for Covid-19 detection, and more.
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