I am a Research Assistant Professor at AGH UST, Krakow, Poland. I am working on the modelling of techniques that can have a direct impact on the policy by providng viable solutions for policy making. Before that, I was a Post-Doctoral Fellow at School of Mechanical Engineering Tel Aviv University, Israel. I was listed in the Indian Researchers in Stanford University’s Top 2% Most Influential Scientists in the World for 2020. I was also a member of AI-ML-NLP Group of Indian Institute of Technology Patna.
I work in the field of Nature Inspired Computing and have published 40 SCI journal publciations with a Google Scholar Citation of 1300(h-index : 19). I have secured good amount of travel grants from Science and Engineering Research Board (SERB), Council of Scientific and Industrial Research (CSIR), Govt. of India and IEEE, Computational Intelligence Society (in 2018, 2019 & 2020). I am also the Academic Editor of Mathematical Problems in Engineering, Hindawi and reviewer of more than 25 SCI journal.
Apart from being a researcher, I enjoy most of my time being outdoors. I belongs to the Himalayas and have a great love for mountains. I love to travel and make videos. I also have a good follower base of 10,000 on Instagram: xpedicr and around 1,000 on Youtube: xpedicr. When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and cook great Indian food.
Faculty of Physics & Applied Computer Science, AGH University of Science & Technology, Krakow, Poland
Department of Computer Science, Swansea University, United Kingdom
The Iby and Aladar Fleischman Faculty of Engineering, School of Mechanical Engineering, Tel Aviv University, Israel
Department of Electronics and Communication Engineering, IThapar Institute of Engineering & Technology Patiala, India
Department of Electronics and Communication Engineering, Chandigarh University, Mohali, India
College of Engineering & Technology BGSBU, Jammu, India
Analysing the impact of social distancing and lockdowns during COVID-19 and providing viable solutions using Multi-objective optimization techniques.
Forecasting the impact of COVID-19 in the 15 Most affected countries of the world using Genetic Programming.
The aim is to develop new improved algorithms. I employed different ideas and logics such as hybridization that combine the strength of different mutation strategies to add diversity in the solution space, and improve the algorithms.
Optmization of Linear Antenna Arrays, Engineering Design Problems, Frame Design Problems, Wireless Sensor Networks, Image Thresholding and others.