Meet the Team
Joohi Chauhan, PhD
Principal Investigator & Lab Head
Dr Joohi is currently a faculty in MNNIT Allahabad and has considerable experience in the field of computer vision, Deep Learning and application of machine learning technologies in the field of medical research. She has previously worked on skin burns ( in collaboration with Safdarjung burns unit) during her PhD at IIT Ropar and digital pathology problems during her postdoctorate at University of California. She has also previously been a visiting researcher at NUS Singapore and Cardiff University, UK.
Prateek Mittal
Research Assistant & Lab Coordinator
Prateek is B.E Computer Science graduate from Thapar Institute of Engineering and Technology. He has worked as a remote research intern at IIT Ropar and a Research Associate (Remote) at Van dijk Lab at Yale University, USA. He is currently working full time as a Graduate Engineer Trainee (IT- Lab Ops) at Dr Lal PathLabs. Prateek manages the research projects and the lab operations. He actively collaborates on projects involving predictive modeling, data-driven insights and applications of deep learning and machine learning technologies to healthcare problems. He is known for his organizational skills and technical expertise in statistical modeling and Python programming. He also loves teaching and has been doing the same in various capacities over the past few years.
Shivangi Agrawal
PhD Scholar
Shivangi is a Ph.D. candidate in Computer Science and Engineering at Motilal Nehru National Institute of Technology (MNNIT), Allahabad, with a focus on artificial intelligence and image processing. She earned her Master of Science in Computer Science from the University of Allahabad, where she graduated as the batch topper. Her master’s thesis involved the development of an innovative Android application for detecting Coronavirus infections through chest X-ray images, employing advanced methodologies such as Deep Learning, Convolutional Neural Networks (CNN), and Transfer Learning. She possess strong programming skills and a logical approach to problem-solving. She is detail-oriented, creative, and analytical, with a commitment to academic excellence. Her aspiration is to contribute meaningfully to the academic community while enhancing her leadership capabilities through collaborative research initiatives.
Shubham Kaushik
Post Graduate Research Student
Shubham is a dedicated researcher with a focus on Deep Learning and Generative AI, exploring innovative solutions in image transformation and leveraging AI for impactful applications across diverse domains.
Aditya Dubey
Post Graduate Research Student
Aditya is an AI enthusiast and software developer. For the past two years, he has worked at Infosys as a System Engineer, gaining hands-on experience with a variety of technologies, including shell script , putty , C++, SQL, MongoDB, Express.js, and Node.js. His expertise also spans artificial intelligence, where he has worked on projects involving recurrent neural networks (RNNs), artificial neural networks (ANNs), and natural language processing (NLP), leveraging frameworks like BERT and RAFT. Currently, he is pursuing a Master's Degree in Information Security at Motilal Nehru Institute of Technology. His research work is on AI-driven innovation, particularly in face recognition on multispectral images. Additionally, he is the founder of Trippyway, an AI-powered personalized travel agency, and created a machine learning model FINDJOB AI designed to build an advanced automatic job-tracking system.