Faculty

Faculty

M. K. Dutta is a Professor of Computer Science & Engineering & Currently Director of the “Amity Centre for Artificial Intelligence” & and also the Dean, Student Research in Amity University. He is a Visiting Professor in the Department of Telecommunications, BRNO University of Technology, Czech Republic. He is also Ex-Director of Centre for Advanced Studies, Lucknow (An Autonomous Uttar Pradesh State Government Research Centre) where he had established a state of Labs including a very high end AI lab and led many AI projects and supervised many PhD / M.Tech Students in the Centre. His research interest include Machine Learning and Deep learning : architectures and Applications of Machine Learning/Deep Learning, Computer Vision, Pattern Recognition, Bio-Medical Signal Processing applications, Multimedia Signal Processing and Audio Signal processing.

He has strong international cooperation with scientist from USA, UK, Canada, Australia, Spain, Czech Republic, Korea, Costa Rica, Germany, Spain, Republic of Macedonia, Taiwan, China and have co-authored many research articles with them. Professor Dutta has co-authored 330 + indexed research papers in reputed international journals and conferences. He was involved as Principal investigator for 6 funded research projects and also has filed 10 Patents for his inventions. He has guided 5 PhD students (and 6 ongoing) and 21 M.Tech Dissertations. He was Conference Chair of two prestigious IEEE sponsored International conferences and he is in the reviewer panel and editorial panel of many prestigious journals. He has contributed through innovative work for the welfare of the society using the technological interventions which has huge societal benefit.

Some of his important contribution was use of Artificial intelligence in clinical problems like automatic identification of retinal diseases digital fundus image, Classification of trabecular bone structure of Osteoporotic Patients from X-ray images using Machine Learning. He has also developed methods to identify major cardiac and pulmonary diseases using machine learning applications in body auscultation signals. He has important contributions in Artificial intelligence applications in contemporary biological applications like to identify the presence of cancer causing elements like acrylamide in Carbohydrate content food i.e. potato chips using computer vision and machine learning. His another notable contribution was to identify from fish images the freshness and also if the fish was exposed to toxic substances like pesticides and heavy metals like mercury. Other contribution of Prof Dutta was to find the effect of EMF radiation from mobile phones and cell towers on the human brain using computer vision and machine learning. A significant contribution was for the pandemic COVID-19, in which a machine learning model is designed for the classification of COVID patient and non COVID patients using chest X-ray images and was used for Screening COVID patients during the early days of the pandemic. Another philanthropic work Prof Dutta is involved in is to develop an “Assistive device to impart perceptual ability to visually impaired using intelligent scene captioning” in which an assistive device is designed using deep learning to recognize the objects which are highly relevant for visually impaired person. Prof. Dutta has worked in many AI related projects in the areas of Healthcare, Agriculture, Food Technology, Marine sciences etc.

Area of Interest :

  • Machine Learning and Deep learning.
  • Applications of Artificial Intelligence.
  • Training pace optimization for complex networks.
  • Customized Deep learning Architecture development for complex data.
  • GAN/Vision Transformers.
  • Computer Vision.
  • Time Series Analysis.
  • Bio-Medical Signal processing.

Prof. M.K.Dutta

Director, Amity Centre for Artificial Intelligence

Dean, Students Research, Amity University

Visiting Professor, BRNO University of Technology, Czech Republic

Ex-Director : Centre for Advanced Studies, Lucknow (An Autonomous Uttar Pradesh State Government Research Centre)

Education: PhD (Gautam Buddh Technical University) M.Tech (Gold Medallist) - Central University, Tezpur

Click Here for

Scopus Profile

Google Scholar Profile

Prof.M.Partha Sarathi

Professor, Amity Centre for Artificial Intelligence (ACAI) Amity University

Education:

PhD - Gautam Buddha University, Gr. Noida, UP, India
M.S. – University of Toledo, Ohio, USA.

Area of Interest :

  1. Machine Learning and Deep learning Applications
  2. Computer Vision
  3. Medical Image Retrieval
  4. Image Segmentation
  5. Image Restoration

Click Here for

Scopus Profile

Google Scholar Profile

Dr Partha Sarathi Mangipudi is currently working as a Professor at the Amity Centre for Artificial Intelligence (ACAI), Amity University, India. He has 19 years of experience in teaching and research. Dr. Partha Sarathi’s research interests include working in Computer Vision, Image analysis and applications in Machine and Deep Learning. He has taught several courses related to the domain of Data Science and Artificial Intelligence. He has published many research papers in prestigious Journals and conferences. He has been a Co-Principal Investigator for two Research Projects sponsored by Department of Science & Technology, Government of India.

Dr. Rinki Gupta

Associate Professor, Amity Centre for Artificial Intelligence, Amity University Noida, India.

Education:

PhD (Signal Processing)- Centre for Applied Research in Electronics, Indian Institute of Technology Delhi).
M.E. (Electronics Engineering)- University of Mumbai.

Area of Interest :

  1. Time Series Analysis.
  2. Machine Learning and Deep learning.
  3. Bio-Medical Signal Processing.
  4. Speech and Audio Signal Processing.
  5. Multi-modal Data Fusion.
  6. Human Motion Analysis.
  7. Custom Generation and Discriminative model development.
  8. Transfer Learning, Few-Shot learning.
  9. Knowledge transfer and Model Compression.

Click Here for

Scopus Profile

Google Scholar Profile

Dr Rinki Gupta is currently working as Associate Professor at Amity Centre for Artificial Intelligence, Amity University Noida, India. She received her B.E. and M.E. degrees in Electronics Engineering from University of Mumbai and Ph.D. in Signal Processing from the Centre for Applied Research in Electronics, Indian Institute of Technology, Delhi in 2014. She has worked on several projects funded by the Ministry of Defence at IIT Delhi. She joined as faculty in Amity School of Engineering and Technology, Noida, India in 2015. She was the principal investigator in a research project funded by the Science & Engineering Research Board and co-principal investigator in another project funded by the Department of Science and Technology. She is Senior Member of the IEEE, Associate Member of the IETE and in the editorial board of the IETE Journal of Research. She has guided 2 PhD and several post-and under-graduate students. She has several publications in refereed journals and international conferences. Her present research interests include digital signal processing, speech and audio signal processing, multi-sensor data fusion, biomedical signal processing, few-shot learning, transfer learning, model compression, machine learning and deep learning.

Dr. Ritesh Maurya

Associate Professor, Amity Centre for Artificial Intelligence. Amity University.

Education:

PhD (Centre for Advanced Studies,
DR. A.P.J. Abdul Kalam Technical University)
M.Tech -ABV-IIITM, GWALIOR.

Area of Interest :

  1. Machine Learning.
  2. Deep Learning.
  3. Computer Vision.
  4. Medical Image Processing.
  5. Application of Machine Learning and Deep Learning.

Click Here for

Scopus Profile

Google Scholar Profile

Dr. Ritesh Maurya is an Associate Professor at “Amity Centre for Artificial Intelligence”. Prior joining to Amity University, he was working with Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education (An Institute of Eminence). He has more than 9 years of teaching experience. His research interest includes Machine Learning and Deep learning. He has published many SCI/SCIE-indexed research papers in Q1/Q2 Journals. His interest lies in the areas of lightweight Deep Learning architectures and the latest developments taking place in making Transformer architectures more efficient. He has interest in solving the problems in the field of Medicine using state-of-the-art Artificial Intelligence based techniques.

Dr. Karnati Mohan

Assistant Professor, Amity Centre for Artificial Intelligence.

Education:

Ph.D., PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur.
M. Tech - PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur.

Area of Interest :

  1. Affect Recognition.
  2. Deception Detection.
  3. Construction of a Customized Deep Learning Framework for Challenging Data.
  4. Consumer Choice Prediction.
  5. Machine Learning and Deep Learning.
  6. Image Processing and Pattern Recognition.

Click Here for

Scopus Profile

Google Scholar Profile

Karnati Mohan is an Assistant Professor at “Amity Centre for Artificial Intelligence” (ACAI), Amity University, Uttar Pradesh. His research interest includes applications of machine learning/deep learning, image processing, pattern recognition, neurocomputing analysis, and EEG signal processing. He has co-authored eight indexed research papers in prestigious international journals and conferences, and also one German patent for his invention. He is on the panel of reviewers for numerous prestigious journals, including IEEE Transactions. His significant contributions included the use of AI in human-computer interface issues like an end-to-end framework for facial expression recognition and deception detection from multimodal data like image, audio, and Electroencephalogram (EEG). Also, he has devised methodologies for diagnosing clinical issues, such as identifying COVID-19 patients from X-ray images and determining a patient's state of depression from their EEG signals by using sophisticated deep-learning techniques.

Dr. Geet Sahu

Assistant Professor, Amity Centre for Artificial Intelligence.

Education:

Ph.D. (PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur)
M. Tech - (PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur).

Area of Interest :

  1. Machine Learning.
  2. Deep Learning.
  3. Construction of a Customized Deep Learning Framework for Challenging Data.
  4. Image Processing.
  5. Pattern Recognition.
  6. Computer Vision.

Click Here for

Scopus Profile

Google Scholar Profile

Geet Sahu is an Assistant Professor at “Amity Centre for Artificial Intelligence” (ACAI), Amity University, Uttar Pradesh. Her research interest includes applications of machine learning/deep learning, image processing, pattern recognition, and EEG signal processing. She has authored six indexed research papers in prestigious international journals and conferences, and also have one German patent. She is on the panel of reviewers for numerous prestigious journals. Her significant contributions included the use of traditional and deep learning techniques for the visibility restoration of hazy images. Also, she has contributed in the development of deep learning model for diagnosing COVID-19 patients using X-ray images.

Dr. Sneha Sharma

Assistant Professor, Amity Centre for Artificial Intelligence.

Education:

Ph.D. (Amity University, Noida)
M. Tech in Embedded systems - (Gautam Buddha University, Greater Noida)
B.Tech. in Electronics and Communication Engineering- (Government Women Engineering College, Ajmer)

Area of Interest :

  1. Human Machine Interaction.
  2. Machine learning and Deep learning.
  3. Wearable sensor signal processing.
  4. Embedded systems.
  5. IoT and edge computing.
  6. Data Engineering.
  7. Applications of AI
  8. Time Series analysis
  9. Transfer learning

Click Here for

Scopus Profile

Google Scholar Profile

Sneha Sharma is presently working as an Assistant Professor at “Amity Centre for Artificial Intelligence” (ACAI), Amity University, Noida, India. She has an experience of working as a core researcher under the research project sponsored by Science and Engineering Research Board, Government of India. She also has 3 plus years of teaching experience in the field of Machine learning, Deep learning and Electronics and Communication Engineering. She has published multiple research papers in prestigious international journals and conferences and holds one published Indian patent for her invention. Her present research interest includes applications of machine learning/deep learning, Human machine interaction, IoT and edge computing, Transfer learning, Wearable sensor signal processing.

Dr. Rakesh Chandra Joshi

Assistant Professor, Amity Centre for Artificial Intelligence.

Education:

Ph.D., Centre for Advanced Studies, Dr. A. P. J. Abdul Kalam Technical University.
M. Tech, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand

Area of Interest :

  1. Deep learning and Computer Vision
  2. Generative AI, LLM Models and RAG
  3. Biomedical Signal Processing
  4. Ecological and Medical Informatics
  5. Edge Computing and Assistive Devices development
  6. Video Surveillance and Object Tracking

Click Here for

Scopus Profile

Google Scholar Profile

Web of Science Profile

Rakesh Chandra Joshi has over 5 years of research experience in Artificial Intelligence, addressing a wide range of challenges and pioneering innovative solutions. He is proficient in managing NVIDIA DGX-2 GPU servers and Docker container-level operations for AI projects. His expertise extends to developing AI-based hardware for edge computing platforms such as Raspberry Pi and NVIDIA Jetson Nano. He has published multiple SCI-indexed journal articles, holds Indian patents in AI, presented his works in international conferences and has made contributions to fields including medical imaging, ecological informatics, and assistive technologies. Rakesh is also NVIDIA Certified Deep Learning Instructor and University Ambassador. He has qualified in GATE and UGC-NET and received prestigious fellowships such as GATE, DST-JRF, and DDQIP doctoral fellowship. He currently serves as a Guest Associate Editor for Biomedical Signal Processing at Frontiers in Signal Processing and is an expert reviewer for over 30 top-tier SCI-indexed journals. He was also a co-principal investigator/researcher on different DST and ICMR-sponsored projects. Rakesh has led over 20+ AI workshops/seminars across various institutions in India and abroad, sharing his knowledge and expertise in the field.

Ritu Tanwar,

Assistant Professor, Amity Centre for Artificial Intelligence.

Education:

Ph.D. (Submitted), National Institute of Technology, Uttarakhand
M. Tech, University Institute of Engineering and Technology (UIET), Kurukshetra University

Area of Interest :

  1. Affective state recognition.
  2. Machine learning and Deep learning.
  3. Biomedical Signal Processing.
  4. Multimodal system.
  5. Applications of wearable technology and AI.
  6. Explainable artificial intelligence.

Click Here for

Google Scholar Profile

Ritu Tanwar is presently working as an Assistant Professor at “Amity Centre for Artificial Intelligence” (ACAI), Amity University, Noida, India. She has published her research in reputed SCI-indexed journals and presented at international conferences. Her present research interests include affective state recognition, biomedical signal processing, applications of wearables technology and AI, multimodality, machine learning and deep learning, explainable artificial intelligence.

Bhavna Bajpai,

Assistant Professor, Amity Centre for Artificial Intelligence.

Education:

Ph.D.: (Submitted) Indian Institute of Technology, Jodhpur (Computer Science and Engineering),
M.Tech: Central University of Punjab, Bathinda (Computer Science and Technology (Cyber Security))
B.Tech: A.P.J Abdul Kalam Technical University, Uttar Pradesh (Information Technology),
Internship experience: Indian Institute of Information Technology, Design and Manufacturing Jabalpur.

Area of Interest :

  1. Explainable and generalized artificial intelligence,
  2. AI framework for Mental health,
  3. Machine learning and deep learning,
  4. Medical Imaging,
  5. Pattern Recognition,
  6. Brain-computer interaction (BCI),
  7. Application of AI in Healthcare.

Click Here for

Google Scholar Profile

Bhavna Bajpai is presently working as an Assistant Professor at “Amity Centre for Artificial Intelligence” (ACAI), Amity University, Noida, India. Her research interest is in explainable and generalized artificial intelligence for healthcare. She has also 5-years of experience as a teaching assistant at IIT Jodhpur. She is a reviewer in Neural Networks (Elsevier Journal) and Applied Intelligence (Springer Journal). She has published research work in Nature and other SCI-indexed journals.