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

Areas of Interest:

  • Deep Neural Networks
  • Generative AI and LLMs. 
  • Multimodal AI
  • Training pace optimization for complex networks
  • Customized Deep learning Architecture Development for Complex Data
  • Computer Vision and Vision Transformers

Key Achievements:

  • Published 355+ indexed research papers in high quality publications. 
  • Principal Investigator for 9 funded projects
  • Inventor of 10 patents 
  • Supervised multiple Ph.D. and M.Tech students
  • Led many AI-based innovations like retinal disease detection, osteoporosis diagnosis, cardiac and pulmonary disease identification and food safety analysis using computer vision.
  • Developed AI solutions for COVID-19 patient screening using chest X-rays
  • Designed an assistive device for the visually impaired using deep learning
  • Worked on AI-driven projects in healthcare, agriculture, food technology, and marine sciences

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.

Areas of Interest:

  • Machine Learning and Deep learning Applications
  • Computer Vision
  • Medical Image Retrieval
  • Image Segmentation
  • Image Restoration

Key Achievements:

  • Co-Principal Investigator for 02 DST Sponsored Funded Projects worth approximately 1 Crore in the area of Computer Vision.
  • Published many SCI-indexed Journal Papers in the field of Computer Vision and Machine Learning/Deep Learning
  • 01 Patent and contributed 01 Book Chapter in the field of Artificial Intelligence for innovative techniques and systems.
  • NVIDIA Deep Learning Institute (DLI) Certified Instructor for the Course, “Fundamentals of Deep Learning
  • Awarded Domain Certification in Data Science by NPTEL for completing courses (Introduction to Machine Learning, Deep Learning, Joy of Computing using Python, Python for Data Science, Natural Language Processing, Computer
  • Vision, Data Analytics using Python) related to Data Science and Artificial intelligence
  • Acquired expertise as a reviewer for top-tier journals and also served on program committees for various international conferences.

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.

Areas of Interest:

  • Time Series Analysis.
  • Machine Learning and Deep learning.
  • Bio-Medical Signal Processing.
  • Speech and Audio Signal Processing.
  • Multi-modal Data Fusion.
  • Human Motion Analysis.
  • Custom Generation and Discriminative model development.
  • Transfer Learning, Few-Shot learning.
  • Knowledge transfer and Model Compression.

Key Achievements:

  • Completed a Funded Research Project from SERB DST in the area of Indian Sign Language to Spoken Language Translator using data from Wearable Multi-sensor Armbands. 
  • Ongoing Industry Funded Project from Delsys Inc. in the area of Modelling of Automated Rehabilitation Systems. 
  • Published many high quality Research papers in signal processing and machine 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.

Areas of Interest:

  • Machine Learning.
  • Deep Learning.
  • Computer Vision.
  • Medical Image Processing.
  • Application of Machine Learning and Deep Learning.

Key Achievements:

  • More than 8 years of Experience in research in Artificial Intelligence domain. 
  • Published many high quality research papers in the area of Deep Learning and Machine Learning in leading journals. 
  • Conducted many workshops in cutting edge technology like LLMs and Generative AI. 
  • Developed many AI models in the area of Medical Imaging and medical diagnostics.

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.

Areas of Interest:

  • Affect Recognition.
  • Deception Detection.
  • Construction of a Customized Deep Learning Framework for Challenging Data.
  • Consumer Choice Prediction.
  • Machine Learning and Deep Learning.
  • Image Processing and Pattern Recognition.

Key Achievements:

  • Wide experience in AI Models including deep learning, transformers and various multimodal AI architectures. 
  • Published many research articles in top-tier Journals like IEEE Transactions. 
  • Certified NVIDIA DLI Instructor. 
  • Developed models in Brain Computer Interface using EEG signals.
  • Wide experience and developed AI models for Facial Expression Recognition. 

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).

Areas of Interest:

  • Machine Learning.
  • Deep Learning.
  • Construction of a Customized Deep Learning Framework for Challenging Data.
  • Image Processing.
  • Pattern Recognition.
  • Computer Vision.

Key Achievements:

  • Many Publications in top Journals like IEEE Transaction and Applied Soft computing.
  • German Patent (Granted, 2022) – BAT optimization-based dehazing method.
  • Certified in Deep Learning by NVIDIA and PDPM IIITDM Jabalpur. 
  • Experienced in developing Image Dehazing algorithms and many methods for Brain Computer Interface.

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)

Areas of Interest:

  • Human Machine Interaction.
  • Machine learning and Deep learning.
  • Wearable sensor signal processing.
  • Embedded systems.
  • IoT and edge computing.
  • Data Engineering.
  • Applications of AI
  • Time Series analysis
  • Transfer learning
  • Generative AI, LLM and RAG

Key Achievements:

  • More than 6 years of extensive research experience in the field of Artificial Intelligence, addressing various challenges and exploring novel solutions.
  • Published high-impact research papers in reputed SCI indexed journals,
  • Presented multiple international conferences papers, and book chapters in the field of AI.
  • Granted Indian Patent on the development of A convenient approach of air quality measurement for allergic patients
  • Qualified GATE exam. Recipient of government fellowships including GATE, DST-JRF 
  • Served as a Reviewer for reputed peer-reviewed journals.
  • Experienced in supervising student projects contributing to the growth of AI research and development within academic and applied settings.

Dr. Rakesh Chandra Joshi

Assistant Professor (Grade-I), 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

Areas of Interest:

  • Deep learning and Computer Vision
  • Generative AI, LLM and RAG
  • Biomedical Signal Processing
  • Ecological and Medical Informatics
  • Edge Computing and Assistive Devices development
  • Video Surveillance and Object Tracking

Key Achievements:

  • More than 6 years of extensive research experience in the field of Artificial Intelligence, addressing various challenges and exploring novel solutions.
  • NVIDIA Certified Instructor and University Ambassador for Deep Learning.
  • Published 24 SCI-indexed journal articles, presented 30+ international conferences papers, 2 book chapters and published 2 Indian Patents in the field of AI.
  • Co-Investigator in Govt. Funded Project. Associate editor and reviewer for 50+ reputed SCI indexed journals. Served on program committees for various international conferences.
  • Completed over 90+ certified courses and led workshops focused on deep learning and its applications in artificial intelligence.
  • Qualified GATE and UGC-NET exams. Recipient of various government fellowships including GATE, DST-JRF, and DDQIP.
  • NVIDIA DGX-2 GPU servers and workstations at the Docker container level for AI projects

Dr. Ritu Tanwar

Assistant Professor (Grade-I), Amity Centre for Artificial Intelligence.

Education:

Ph.D., National Institute of Technology, Uttarakhand. M. Tech, University Institute of Engineering and Technology, Kurukshetra University, Haryana. B. Tech, University Institute of Engineering and Technology, Kurukshetra University, Haryana.

Areas of Interest:

  • Affective state recognition.
  • Machine learning and Deep learning.
  • Biomedical Signal Processing.
  • Multimodal system.
  • Applications of wearable technology and AI.
  • Explainable artificial intelligence.

Key Achievements:

  • More than 4 years of extensive research experience in the field of Artificial Intelligence, addressing various challenges and exploring novel solutions.
  • Published high-impact research papers in reputed journals, including Engineering Applications of Artificial Intelligence (Elsevier), on wearable-based stress recognition using attention-based deep learning models.
  • Published SCI-indexed journal articles, presented international conferences papers, and book chapters in the field of AI.
  • Various government fellowships such as MHRD.
  • Served as a Reviewer for reputed peer-reviewed journals.
  • Experienced in supervising student projects, assisting in the development of real-time systems for affective state monitoring.

Dr. Bhavna Bajpai

Assistant Professor (Grade-I), Amity Centre for Artificial Intelligence.

Education:

Ph.D. 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.

Areas of Interest:

  • Explainable and generalized artificial intelligence,
  • AI framework for Mental health,
  • Machine learning and deep learning,
  • Medical Imaging,
  • Pattern Recognition,
  • Brain-computer interaction (BCI),
  • Application of AI in Healthcare.

Key Achievements:

  • 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.

Dr. Gopendra Vikram Singh

Assistant Professor (Grade-I), Amity Centre for Artificial Intelligence

Education:

Ph.D. (Submitted), IIT Patna. M. Tech (CSE) , NIT Sikkim/IIT Palakkad (Visiting)

Areas of Interest:

  • Natural Language Processing (NLP)
  • Multimodal Learning and Representation
  • Emotion Recognition and Affective Computing
  • AI for Social Good (Mental Health, Abuse Detection)
  • Conversational AI and Dialogue Systems
  • Cognitive Distortion Detection
  • Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)

Key Achievements:

  • More than 9 A* conferences.
  • Published research papers in top-tier conferences such as AAAI and EMNLP.
  • Developed Multi-modal Child Abuse Detection (MM-CAD) model with state-of-the-art performance on DACAM dataset.
  • Mentored students and contributed to the growth of AI research and development within academic and applied settings.

Professor Alfredo Rosado Munoz

Visiting Professor, Amity Centre for Artificial Intelligence. Full Professor, Group for Digital Design and Processing (GDDP), Dpt. Electronic Engineering (DIE), School of Engineering (ETSE), University of Valencia (UV)

Education:

Doctor of Philosophy from the University of Valencia, Spain, awarded in 2000. Master of Science from the University of Valencia, Spain, completed in 1994.

Areas of Interest:

  • Artificial Intelligence and Machine Learning.
  • Time-Frequency Signal Processing.
  • Hardware Design for Bioengineering.
  • Digital Brain Stimulation in Neurological Disorders.
  • Automation and Embedded Systems.

Key Achievements:

  • Visiting Professor at Amity Centre for Artificial Intelligence, Amity University, Noida.
  • Professor at University of Valencia, Spain, specializing in AI, machine learning, and biomedical applications.
  • Contributed to research on electromagnetic field effects on the brain using ML and computer vision.
  • Holds a Ph.D. in Physics (2000) focused on ventricular fibrillation detection using time-frequency algorithms.
  • Research expertise in hardware implementation of signal processing algorithms in embedded systems.
  • Leads work on neuromorphic systems, spiking neural networks, and ML hardware integration for biomedical and industrial use.

Alok Kumar Tiwari,

Assistant Professor, Amity Centre for Artificial Intelligence

Education:

PhD- ABV-Indian Institute of Information Technology and Management Gwalior, MP, India M.Tech- ABV-Indian Institute of Information Technology and Management Gwalior, MP, India.

Areas of Interest:

  • Deep Learning
  • Computer Vision
  • 3D Object Detection

Key Achievements:

  • Published various research papers in reputed journals and conferences.
  • Organized IEEE conferences.

Dr. Dhruv Sharma

Assistant Professor, Amity Centre for Artificial Intelligence

Education:

Ph. D- Delhi Technological University, Delhi M.Tech- Signal Processing, Ambedkar Institute of Advanced Communication Technologies & Research, GGSIPU, Delhi

Areas of Interest:

  • Machine Learning & Deep-Learning
  • Computer Vision
  • Natural Language Processing
  • Generative AI
  • Signal & Image Processing

Key Achievements:

  • Received Commendable Research Award in 2024 from Delhi Technological University 
  • Reviewer in Reputed IEEE Transactions on Circuit and Systems for Video Technology
  • Reviewer in Reputed Elsevier and Springer Journals
  • Published 6 SCI/SCI-E papers in reputed IEEE Transactions, Elsevier and Springer Journals.

Dr. Madhumita Dey

Assistant Professor (Grade-I), Amity Centre for Artificial Intelligence

Education:

PhD (Indian Institute of Technology Kharagpur), Integrated MTech (Central University of Jharkhand, Ranchi)

Areas of Interest:

  • Deep learning and Computer Vision
  • Segmentation and Feature Extraction
  • Geospatial Data Analysis, Urban Infrastructure and Spatial Data Mining
  • Multimodal AI

Key Achievements:

  • 5+ years of extensive research experience in the field of Earth Observation data and Artificial Intelligence, addressing various challenges in the domain of geospatial and urban dynamics.
  • Awarded several awards such as Sahyadri Young Ecologist 2019, Best paper presentation award in Urban Transportation 2022, Mobility Fellowship Award 2022 (IIIT Hyderabad and iHub Data), recipient of IEEE GRSS Travel Grant Fellowship 2023.  
  • Reviewer in Scientific Reports 

Rakesh Thakur

Assistant Professor, Amity Centre for Artificial Intelligence

Education:

M.tech Computer Science and Engineering, IIT Gandhinagar, Gujarat, India M.tech Biological Engineering, IIT Gandhinagar, Gujarat, India

Areas of Interest:

  • Natural Language Processing
  • NLP for Social Good
  • Generative AI, LLM Models, and RAG
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Applications of AI

Key Achievements:

  • Over 2 years of dedicated research experience in Artificial Intelligence, addressing real-world challenges and developing innovative solutions.
  • 6 international Conferences research papers and Published 2 Indian Patents and.
  • Qualified GATE.
  • Completed 50+ certified courses, along with conducting workshops on deep learning and its applications in AI.
  • Actively involved in AI-focused research projects, collaborating with Rajiv Gandhi Cancer Institute and KGMU on ICMR-funded proposals for cancer diagnosis and hepatotoxicity prediction in TB patients.

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