Research / Research Clusters / AI, ML and Computational Mathematics

AI, ML and Computational Mathematics

Artificial Intelligence (AI), Machine Learning (ML), and Computational Mathematics. These fields are significant areas of research and application in the broader domain of information technology. This cluster will focus on dedicated research on AI, ML, and Computational Mathematics, they would likely contribute to the overall research agenda of the institution.

Here's a brief overview of each of these areas:

Artificial Intelligence (AI): AI involves the development of intelligent machines that can execute tasks that characteristically require human intelligence. This field incorporates various subfields, including machine learning, natural language processing, computer vision, and robotics.

Machine Learning (ML): ML is a subset of AI that focuses on the development of algorithms and models that enable computers to learn from data and make predictions or decisions. It includes supervised learning, unsupervised learning, and reinforcement learning.

Computational Mathematics: Computational mathematics involves the use of numerical algorithms and computational methods to solve mathematical problems. It often plays a crucial role in scientific computing, optimization, and simulations.

Sr. No.Name of FacultySub Research FieldsOfficial Email IDG. ScholarScopusOrcid
1)Prof. Ashutosh Kumar SinghArtificial Intelligence[email protected]G. ScholarScopusOrcid
2)Dr. Neeraj Kumar[email protected]G. ScholarScopusOrcid
3)Dr. Afreen Khursheed[email protected]G. ScholarScopusOrcid
4)Dr. Arpita Bhargava[email protected]G. ScholarScopusOrcid
5)Dr. Yatendra SahuDeep Learning, AI in Agriculture[email protected]G. ScholarScopusOrcid
6)Dr. Dharmendra Dangi[email protected]G. ScholarScopusOrcid
7)Dr. Bhupendra Singh KirarSignal Processing, Image Processing, Image Decomposition Techniques, Machine Learning, Computer Aided Medical Diagnosis[email protected]G. ScholarScopusOrcid
8)Dr. Vishakha ChourasiaOpportunistic Networks, Delay Tolerant Networks, WSN, Artificial Intellignece[email protected]G. ScholarScopusOrcid
9)Dr. Rekha KaushikWireless sensor network, Machine learning[email protected]G. ScholarScopusOrcid
10)Dr. Deepa Sharma[email protected]G. ScholarScopusOrcid
11)Dr. Saurabh JainCloud Robotics, Robotics[email protected]G. ScholarScopusOrcid
12)Dr. Amit Kumar NandanwarMachine Learning, Deep Learning, Computer Vision[email protected]G. ScholarScopusOrcid
13)Dr. Nisha SinghalHybrid Structures of soft Set, MCDM, Fuzzy Algorithms[email protected]G. ScholarScopusOrcid
14)Dr. Rahul ChaurasiaCo-processors for ML/AI, Healthcare and Consumer Electronics Hardware security, Reusable hardware IP core designs, Metaheuristics for architectural optimization, Electronic Design Automation (EDA) for secure chips and systems, Biometrics for hardware IP authentication, Hardware Acceleration, High-level synthesis[email protected]G. ScholarScopusOrcid
15)Dr. Awanish Kumar TiwariNumerical Analysis & Scientific Computing[email protected]G. ScholarScopusOrcid
16)Dr. Amit GuptaMobile Adhoc Networks, Data Mining[email protected]G. ScholarScopusOrcid
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