Dr. Abhishek Kumar Kashyap

Scopus Publications

Integrated framework utilizing scene text detection and recognition techniques for enhancing point of interest extraction from name boards in all Indic languages
Abhishek Kumar Kashyap, Mahima Upadhya, Vikas Singh Panwar, Vikrant Chandrakar
Scientific Reports, 2026
This paper focused on enhancing text recognition, script identification, language classification, and point of interest (POI) extraction from images captured by Mobile Mapping Systems (MMS). The initiative was undertaken to improve the existing Computer vision-based artificial intelligence modules. The advancements made is to be contributed to the system’s implementation, bringing improved functionality and accuracy to the system. The current system, called Text Detection and Recognition (TDR), consists of several neural modules operating in sequential stages. The first module identifies areas of interest within the MMS images, focusing on shop signboards, traffic signs, and directional boards. The second stage involves detecting text words within these areas and cropping the relevant pixels from the image. These cropped images are then processed in the third stage, where the language script is detected, identifying one of ten Indian scripts. In the fourth stage, specific character recognizers corresponding to the identified script are used to recognize the text. The outputs from these stages are aggregated into a correlated JSON output. Additionally, a parallel fifth stage detects various fields within the MMS images, such as name, address, pin, icon, phone and GSTIN number, ultimately extracting a comprehensive human-readable address for any POI from the MMS image. The primary focus includes investigating novel text recognition algorithms to improve accuracy and efficiency, exploring various script identification algorithms to enhance language classification capabilities, implementing a dictionary-based approach for more accurate word detection, and developing methods for correcting the words that the CRNN model predicts to reduce errors. This work is novel because it combines word correction, OCR, detection, classification, and POI field extraction into a single pipeline designed specifically for Indic scripts. By obtaining 96.17% script recognition accuracy, 92.5% word accuracy, and 33% average precision in POI detection, the suggested framework outperforms previous benchmarks like IndicText (93.6%) and transformer-based OCR (88.5%).
Path optimization of biped humanoid robot on inclined surface employing 3D-MDSLIP framework
Abhishek Kumar Kashyap, Dayal R. Parhi
International Journal on Interactive Design and Manufacturing, 2026
Mapping and Navigation of Custom Robot Using Improved A* Algorithm
Omkar Magadum, Abhishek Kumar Kashyap
Lecture Notes in Electrical Engineering, 2026
Stable Walking and Dynamic Obstacle Avoidance of Humanoid Robots Using Optimized Step Planner
Abhishek Kumar Kashyap, Dayal R. Parhi
International Journal of Humanoid Robotics, 2026
Developing and maintaining a collision-free trajectory is one of the most challenging tasks for autonomous robotics in unpredictable and dynamic situations. This work describes the development of a mechanism for navigating humanoid robots. Sensors are used to determine the positioning of the developed system. The breadth-first search algorithm has yielded positive results in the task of step adjustment to avoid dynamic barriers. Rule-based machine learning provides two driving angles based on the position evaluation of static and moving barriers and the goal. Further, the footstep is optimized based on the JAYA algorithm. It takes the outputs of machine learning as its input and provides an optimum driving angle to avoid static and dynamic barriers and generates a smooth trajectory. The proposed step planner is integrated into humanoid NAO for autonomous navigation. For avoiding dynamic barriers (same robot), a separate algorithm is required that will solve the conflicts during navigation. In this paper, the dining philosopher controller is used. For evaluating the robustness of the proposed controller, various types of scenarios have been adapted. These environments are static with a single target, static with multiple targets, environments with dynamic obstacles and multiple robots in a single environment. It is evaluated in simulated environments and verified in experimental environments. The deviation observed is under 5% that displays a validated relationship between them. Its acceptability is demonstrated based on torque generation at different joints in reference to the default controller of humanoid NAO. Ultimately, the robustness of the proposed step planner is evaluated by comparing it with a conventional path planner in a dynamic environment where it shows superiority.
A study on different methods to change the Rayleigh number in the analysis of heat transfer
Vikrant Chandrakar, Atul Bhattad, Priyaranjan Samal, Jnana Ranjan Senapati, Abhishek Kumar Kashyap
Scientific Reports, 2025
This study provides awareness about natural convection and associated non-dimensional numbers like the Prandtl number, Grashof number, Rayleigh number, and Reynolds number. The main focus of this research is to present the different methods employed to vary the Rayleigh number $$\\:\\left(Ra\\right)$$ in an extensive range. The research concludes that changing the gravity value to obtain the considerable variation in $$\\:Ra$$ is also a possible method for conducting the numerical analysis and observing the impact of the Rayleigh number. The validation of the numerical scheme with existing literature is provided here. An attempt is made to show that similar effects could be obtained by changing the value of gravity and the body’s characteristics length. The comparative results obtained by changing length and gravity are presented which gives almost the same result $$\\:(\\pm\\:\\:10\\%\\:$$ error) to get the same $$\\:Ra$$ . This presents the beauty of a non-dimensional study. Moreover, it is possible to say that in the non-dimensional analysis of engineering practice, the individual variables that are changed are not important considering the non-dimensional results.
Human-inspired dynamic obstacle and inter-collision avoidance algorithm for humanoid biped robots
Abhishek Kumar Kashyap, Dayal Parhi
Robotics and Autonomous Systems, 2025
In order to maximize humanoid robot navigation, this paper introduces the Enhanced DAYANI Arc Contour Intelligent (EDACI) Method, which integrates Dynamic Window Approach (DWA) to choose the best walking parameters for avoiding obstacles and smooth trajectory management. EDACI algorithm provides the best response to guide humanoid robots to the goal by avoiding obstacles and preparing a smooth trajectory. Further, DWA optimizes the walking pattern of humanoid robots by controlling their velocity while encountering an obstacle and finding a smooth trajectory. The performance of the proposed controller is examined by implementing it in humanoid NAOs for navigation in several simulated and experimental terrains. It is implemented on a single humanoid robot for navigation in static and dynamic environments and on multiple humanoid robots on a single platform. Navigation of multiple robots has to deal with the situation of conflict where one robot behaves as a dynamic obstacle to the other. It is solved by setting a Dining Philosopher Controller (DPC) in the base technique. The results obtained from the simulations and experiments have a divergence below 5 %, which demonstrates a satisfactory relation between them. The proposed controller's efficacy is demonstrated by comparing the torque developed at different joints with contrast to the inbuilt controller of NAO. The results show good improvement in torque produced at all joints. In addition, it is compared with an existing controller for navigation, which displays superiority of the proposed controller.
Multi-Objective Route Outlining and Collision Avoidance of Multiple Humanoid Robots in a Cluttered Environment
Abhishek Kumar Kashyap, Dayal R. Parhi
Journal of Field Robotics, 2025
In robotics, navigating a humanoid robot through a cluttered environment is challenging. The present study aims to enhance the footstep and determine optimal paths regarding the robot's route length. The objective function for navigation of multiple humanoid robots is presented to optimize the route length and travel time. A hybrid technique using a probabilistic roadmap (PRM) and firefly algorithm (FA) is presented for humanoid robot navigation in a cluttered environment with static and dynamic obstacles. Sensory information, such as barrier range in the left, right, and front directions, is fed into the PRM framework that allows the humanoid robot to walk steadily with an initial steering angle. It finds the shortest path using the Bellman–Ford algorithm. The FA technique is used for efficient guidance and footstep modification in a cluttered environment to find a smooth and optimized path. To avoid static obstacles, the suggested hybrid technique provides optimum steering angles and ensures the minimum route length by taking the output of PRM as its input. A 3D simulator and a real‐world environment have been used for simulation and experiment in a cluttered environment utilizing the developed model and standalone methods. The humanoid robot achieves the target in all scenarios, but the FA‐tuned PRM technique is advantageous to this purpose, as shown by the convergence curve, route length, and travel duration. Multiple humanoid robot navigation has an additional self‐collision issue, which is eliminated by employing a dining philosopher controller as the base technique. In addition, the proposed controller is evaluated in contrast to the existing technique. The developed strategy ensures effectiveness and efficacy depending on these findings.
A systematic Review on Humanoid Biped Robot: History, Design, Gait Analysis and Path Planning in Various Terrains
Abhishek Kumar Kashyap, Dayal R. Parhi
Evergreen, 2025
Because of its capacity to replicate human behavior and maneuver through challenging circumstances, humanoid robots have drawn a lot of interest.An overview of the literature that refers to history, kinematic analysis, dynamic analysis, gait stabilization and trajectory plan approaches for humanoid robots on even, uneven are presented in this paper.The study emphasizes on conventional techniques like fuzzy logic and artificial potential fields as well as methods inspired by nature, such as teaching-learning-based optimization, dynamic window approach, and ant colony optimization.It has been demonstrated that hybrid approaches, which combine classical and nature-based algorithms, improve flexibility and dependability in both static and dynamic contexts.The results show that when it comes to developing effective and reliable path planning, hybrid techniques perform better than traditional tactics.A roadmap for upcoming developments in model innovation and guidance tactics is provided by identifying key research needs in humanoid robotics.
Autonomous navigation of ROS2 based Turtlebot3 in static and dynamic environments using intelligent approach
Abhishek Kumar Kashyap, Kavya Konathalapalli
International Journal of Information Technology Singapore, 2025
This study offers a unique strategy for autonomous navigation for the TurtleBot3 robot by applying advanced reinforcement learning algorithms in both static and dynamic environments. With the use of TD3 (twin-delayed deep deterministic), DDPG (Deep Deterministic Policy Gradient), and DQN (Deep Q-Network), real-time object detection, tracking, and navigation can now be done seamlessly by the proposed TD3 algorithms. Additional techniques have been integrated to this project to enhance its mobility performance: ROS 2 (Robot Operating System 2) and LiDAR (Light Detection and Ranging)-based perception. Performance comparison among the above-mentioned algorithms shows that TD3 is the most efficient and robust when exposed to diverse environments. The work further addresses significant gaps in dynamic obstacle navigation and maze resolution, significantly changing the game for robotics applications such as those found in surveillance, human–robot interaction, and inspection. The outcome significantly boosts TurtleBot3's performance and capabilities across various scenarios.
Hybrid Metaheuristic-Machine Learning Algorithms for Inter-Collision Avoidance of Multiple Humanoid Robots
Abhishek Kumar Kashyap, Dayal R. Parhi, Bhumeshwar K. Patle
Metaheuristics in Engineering Applications, 2025
Scientists find humanoid (human-alike) robots to be a fascinating topic. A capable biped robot is currently accessible and offers good value for experimental labs and the public, thanks to the development of humanoid robots. In this chapter, a hybrid algorithm has been developed and implemented in multiple robot navigation assignments. The algorithm is a combination of a metaheuristic algorithm, such as particle swarm optimization (PSO), and a machine learning algorithm such as random forest. The PSO algorithm provides an initial turning angle but can be trapped in local minima. Therefore, to avoid this scenario, the random forest technique has been implemented. It selects the best possible path using the probability method. The hybrid algorithm is implemented on two NAO humanoid robots to evaluate its robustness. The controller is tested in simulated and experimental workspaces and further compared based on path length and time taken. The results demonstrate that the relation between simulation and real-time experiments is under 5%.
Dynamic Posture Stabilization of Humanoid Robot NAO Using 3D-Multilinked Dual Spring-Loaded Inverted Pendulum Model for Uneven and Inclined Floor
Abhishek Kumar Kashyap, Dayal R. Parhi
International Journal of Humanoid Robotics, 2023
Dynamic walking of multi-humanoid robots using BFGS Quasi-Newton method aided artificial potential field approach for uneven terrain
Abhishek Kumar Kashyap, Dayal R. Parhi
Soft Computing, 2023
Humanoid robot path planning using memory-based gravity search algorithm and enhanced differential evolution approach in a complex environment
Vikas, Dayal Ramakrushna Parhi, Abhishek Kumar Kashyap
Expert Systems with Applications, 2023
Modified type-2 fuzzy controller for intercollision avoidance of single and multi-humanoid robots in complex terrains
Abhishek Kumar Kashyap, Dayal R. Parhi
Intelligent Service Robotics, 2023
Navigation for multi-humanoid using MFO-aided reinforcement learning approach
Abhishek Kumar Kashyap, Dayal R. Parhi, Vikas Kumar
Robotica, 2023
Gravity Search Algorithm-Based Path Planning of Single Humanoid Based on the Study of Different Artificial Intelligence Techniques
Vikas, Dayal R. Parhi, Abhishek K. Kashyap, B. B. V. L. Deepak
Lecture Notes in Mechanical Engineering, 2023
Dynamic walking of humanoid robot on flat surface using amplified LIPM plus flywheel model
Abhishek Kumar Kashyap, Dayal R. Parhi
International Journal of Intelligent Unmanned Systems, 2022
Implementation of intelligent navigational techniques for inter-collision avoidance of multiple humanoid robots in complex environment
Abhishek Kumar Kashyap, Dayal R. Parhi
Applied Soft Computing, 2022
Multi-objective optimization technique for trajectory planning of multi-humanoid robots in cluttered terrain
Abhishek Kumar Kashyap, Dayal R. Parhi, Anish Pandey
ISA Transactions, 2022
Route outlining of humanoid robot on flat surface using MFO aided artificial potential field approach
Abhishek Kumar Kashyap, Dayal R Parhi, Priyadarshi Biplab Kumar
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 2022
Obstacle avoidance and path planning of humanoid robot using fuzzy logic controller aided owl search algorithm in complicated workspaces
Abhishek Kumar Kashyap, Dayal R. Parhi
Industrial Robot, 2022
Route Mapping of Multiple Humanoid Robots Using Firefly-Based Artificial Potential Field Algorithm in a Cluttered Terrain
Abhishek Kumar Kashyap, Anish Pandey, Dayal R. Parhi
New Advanced Society Artificial Intelligence and Industrial Internet of Things Paradigm, 2022
Stabilized Walking of Humanoid NAO Using Enhanced Spring-Loaded Inverted Pendulum Model on Uneven Terrain
Abhishek Kumar Kashyap, Anish Pandey, Dayal R. Parhi
International Journal of Social Ecology and Sustainable Development, 2022
A GWO Tuned Probabilistic Roadmap Approach for Coarse Mapping of Humanoid Robot in Inclined Terrain
Abhishek Kumar Kashyap, D. R. K. Parhi, Saroj Kumar, Anish Pandey
Lecture Notes in Mechanical Engineering, 2022
Trajectory tracking of single and multiple humanoid robots in cluttered environment
Abhishek K. Kashyap, Anish Pandey, Dayal R. Parhi, Surjeet Singh Gour
Materials Today Proceedings, 2022
Path Optimization and Control of Mobile Robot Using Modified Cuckoo Search Algorithm
Saroj Kumar, D. R. K. Parhi, Abhishek K. Kashyap, Vikas
Lecture Notes in Mechanical Engineering, 2022
Orientation angle based online motion control of an Aldebaran NAO humanoid robot in V-REP software environment using novel sunflower optimization (SFO) algorithm
Aanjaney Gupta, Rounak Adhikari, Anish Pandey, Abhishek Kumar Kashyap
International Journal of Information Technology Singapore, 2021
Static and dynamic path optimization of multiple mobile robot using hybridized fuzzy logic-whale optimization algorithm
Saroj Kumar, Dayal R Parhi, Abhishek K Kashyap, Manoj K Muni
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, 2021
Multi-objective trajectory planning of humanoid robot using hybrid controller for multi-target problem in complex terrain
Abhishek Kumar Kashyap, Dayal R Parhi
Expert Systems with Applications, 2021
Particle Swarm Optimization aided PID gait controller design for a humanoid robot
Abhishek Kumar Kashyap, Dayal R. Parhi
ISA Transactions, 2021
Sunflower optimization algorithm based steering angle controlled motion planning of two-wheeled Pioneer P3-DX robot in V-REP scenario
Shikha Singh, Abhishek Kumar Kashyap, Anish Pandey, Vikas Singh Panwar, Nitin Sharma
Aip Conference Proceedings, 2021
Improved modified chaotic invasive weed optimization approach to solve multi-target assignment for humanoid robot
Abhishek Kumar Kashyap, Dayal Parhi, Anish Pandey
Journal of Robotics and Control Jrc, 2021
Optimization of stability of humanoid robot NAO using ant colony optimization tuned MPC controller for uneven path
Abhishek Kumar Kashyap, Dayal R. Parhi
Soft Computing, 2021
Analysis of Hybrid Technique for Motion Planning of Humanoid NAO
Abhishek Kumar Kashyap, Dayal R. Parhi, Anish Pandey
International Journal of Robotics and Control Systems, 2021
Path optimization for multiple humanoid robot using TLBO based ANFIS controller in obscure environment
Abhishek Kumar Kashyap, Anish Pandey, Dayal R. Parhi, Abhishek Sharma
Materials Today Proceedings, 2021
Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment
Saroj Kumar, Dayal R. Parhi, Abhishek Kumar Kashyap, Manoj Kumar Muni, Prasant Ranjan Dhal
Lecture Notes in Mechanical Engineering, 2021
Safe Navigation of Humanoid Robot in Cluttered Terrain Using Ant Lion Optimizer Tuned RA Approach
Abhishek Kumar Kashyap, Dayal R. Parhi, Saroj Kumar, Anish Pandey, Manoj Kumar Muni, Prasanta Ranjan Dhal
Lecture Notes in Mechanical Engineering, 2021
Probability Plot Result Comparison with Recurrent Neural Network Approach for Path Navigation of a Humanoid in Complex Terrain
Manoj Kumar Muni, Dayal R. Parhi, Priyadarshi Biplab Kumar, Prasant Ranjan Dhal, Saroj Kumar, Chinmaya Sahu, Abhishek Kumar Kashyap
Lecture Notes in Mechanical Engineering, 2021
A hybrid technique for path planning of humanoid robot NAO in static and dynamic terrains
Abhishek Kumar Kashyap, Dayal R. Parhi, Manoj Kumar Muni, Krishna Kant Pandey
Applied Soft Computing Journal, 2020
Dynamic Stabilization of NAO Humanoid Robot Based on Whole-Body Control with Simulated Annealing
Abhishek Kumar Kashyap, Dayal R Parhi, Saroj Kumar
International Journal of Humanoid Robotics, 2020
Experimental Investigation of Vibration Response of Faulty Rotor Shaft Partially Submerged in Viscous Medium
Adik Yadao, Abhishek Kumar Kashyap
Lecture Notes in Mechanical Engineering, 2020
Optimized Path Planning for Three-Wheeled Autonomous Robot Using Teaching–Learning-Based Optimization Technique
Abhishek K. Kashyap, Anish Pandey
Lecture Notes in Mechanical Engineering, 2020
Spider Monkey Optimization Algorithm Based Collision-Free Navigation and Path Optimization for a Mobile Robot in the Static Environment
Kevin Pirewa Lagaza, Abhishek Kumar Kashyap, Anish Pandey
Lecture Notes in Mechanical Engineering, 2020
Optimum Navigation of Four-Wheeled Ground Robot in Stationary and Non-stationary Environments Using Wind-Driven Optimization Algorithm
Nilotpala Bej, Anish Pandey, Abhishek K. Kashyap, Dayal R. Parhi
Lecture Notes in Mechanical Engineering, 2020
Autonomous mobile robot navigation between static and dynamic obstacles using multiple ANFIS architecture
Anish Pandey, Abhishek Kumar Kashyap, Dayal R. Parhi, B.K. Patle
World Journal of Engineering, 2019
On the Dynamic Response of Rigid Rotor Supported by Rolling-Element Bearing
Chintamani Mishra, Abhishek Kumar Kashyap, Arun Kumar Samantaray
Lecture Notes in Mechanical Engineering, 2019
Dynamic Path Planning for Autonomous Mobile Robot using Minimum Fuzzy Rule Based Controller with Avoidance of Moving Obstacles
Abhishek Kumar Kashyap, Kevin Pirewa Lagaza, Anish Pandey
2018 International Conference on Recent Innovations in Electrical Electronics and Communication Engineering Icrieece 2018, 2018

MOST CITED SCHOLAR PUBLICATIONS

Particle swarm optimization aided PID gait controller design for a humanoid robot
AK Kashyap, DR Parhi
ISA transactions 114, 306-330 , 2021
2021
Citations: 113
A hybrid technique for path planning of humanoid robot NAO in static and dynamic terrains
AK Kashyap, DR Parhi, MK Muni, KK Pandey
Applied Soft Computing 96, 106581 , 2020
2020
Citations: 83
Autonomous mobile robot navigation between static and dynamic obstacles using multiple ANFIS architecture
A Pandey, AK Kashyap, DR Parhi, BK Patle
World Journal of Engineering 16 (2), 275-286 , 2019
2019
Citations: 78
Optimization of stability of humanoid robot NAO using ant colony optimization tuned MPC controller for uneven path: AK Kashyap, DR Parhi
AK Kashyap, DR Parhi
Soft Computing 25 (7), 5131-5150 , 2021
2021
Citations: 48
Dynamic stabilization of NAO humanoid robot based on whole-body control with simulated annealing
AK Kashyap, DR Parhi, S Kumar
International Journal of Humanoid Robotics 17 (03), 2050014 , 2020
2020
Citations: 47
Static and dynamic path optimization of multiple mobile robot using hybridized fuzzy logic-whale optimization algorithm
S Kumar, DR Parhi, AK Kashyap, MK Muni
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of … , 2021
2021
Citations: 38
Different Nature-Inspired Techniques Applied for Motion Planning of Wheeled Robot: A Critical Review
A Abhishek kumar kashyap
International Journal of Advanced Robotics and Automation 3 (1), 1-10 , 2018
2018
Citations: 35
Multi-objective trajectory planning of humanoid robot using hybrid controller for multi-target problem in complex terrain
AK Kashyap, DR Parhi
Expert Systems with Applications 179, 115110 , 2021
2021
Citations: 30
Multi-objective optimization technique for trajectory planning of multi-humanoid robots in cluttered terrain
AK Kashyap, DR Parhi, A Pandey
ISA transactions 125, 591-613 , 2022
2022
Citations: 25
Optimized Path Planning for Three-Wheeled Autonomous Robot Using Teaching–Learning-Based Optimization Technique
AK Kashyap, A Pandey
Advances in Materials and Manufacturing Engineering, 49-57 , 2020
2020
Citations: 25
Humanoid robot path planning using memory-based gravity search algorithm and enhanced differential evolution approach in a complex environment
DR Parhi, AK Kashyap
Expert Systems with Applications 215, 119423 , 2023
2023
Citations: 22
Spider monkey optimization algorithm based collision-free navigation and path optimization for a mobile robot in the static environment
KP Lagaza, AK Kashyap, A Pandey
Advances in Mechanical Engineering: Select Proceedings of ICRIDME 2018, 1459 … , 2020
2020
Citations: 22
A review on path planning AI techniques for mobile robots
S Deshpande, AK Kashyap, BK Patle
Robotic Systems and Applications 3 (1), 27-46 , 2023
2023
Citations: 17
Obstacle avoidance and path planning of humanoid robot using fuzzy logic controller aided owl search algorithm in complicated workspaces
AK Kashyap, DR Parhi
Industrial Robot: the international journal of robotics research and … , 2022
2022
Citations: 17
Controlled gait planning of humanoid robot NAO based on 3D-LIPM model
AK Kashyap, A Pandey, A Chhotray, DR Parhi
International Conference on Artificial Intelligence in Manufacturing … , 2019
2019
Citations: 17
Dynamic walking of multi-humanoid robots using BFGS Quasi-Newton method aided artificial potential field approach for uneven terrain: AK Kashyap, DR Parhi
AK Kashyap, DR Parhi
Soft Computing 27 (9), 5893-5910 , 2023
2023
Citations: 16
Improved modified chaotic invasive weed optimization approach to solve multi-target assignment for humanoid robot
AK Kashyap, D Parhi, A Pandey
Journal of Robotics and Control (JRC) 2 (3), 194-199 , 2021
2021
Citations: 16
Dynamic Path Planning for Autonomous Mobile Robot using Minimum Fuzzy Rule Based Controller with Avoidance of Moving Obstacles
AK Kashyap, KP Lagaza, A Pandey
2018 International Conference on Recent Innovations in Electrical … , 2020
2020
Citations: 13
Navigation for multi-humanoid using MFO-aided reinforcement learning approach
AK Kashyap, DR Parhi, V Kumar
Robotica 41 (1), 346-369 , 2023
2023
Citations: 12
Autonomous navigation of ROS2 based turtlebot3 in static and dynamic environments using intelligent approach
AK Kashyap, K Konathalapalli
International Journal of Information Technology, 1-23 , 2025
2025
Citations: 11

Dr. Abhishek Kumar Kashyap

EDUCATION

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS