Dr. Anubha Parashar

About

Research Scientist
& AI Innovator

"Always walk through life as if you've something new to learn and you will."

Dr. Anubha Parashar is an accomplished Analytics & AI Engineer and research scientist with over a decade of expertise spanning deep learning, computer vision, generative AI, and intelligent systems. Currently driving high-impact AI solutions at Pearce Services, Gurugram, she architects production-grade systems — from YOLOv11-powered solar defect detection deployed on NVIDIA Jetson edge devices, to GRU–LSTM wind-speed forecasting models delivering $200K in projected annual savings. Previously, as Research Scientist at Invincible Ocean, Gurugram, she led AI and Metaverse initiatives including a Virtual Try-On platform achieving 95% user satisfaction, an LLM-powered vehicle RC chatbot, and a high-accuracy OCR pipeline — consistently delivering production-ready systems at the intersection of deep learning and real-world deployment. Her work bridges rigorous academic research with applied engineering, transforming complex AI methods into measurable outcomes.

Dr. Parashar's academic journey is equally distinguished. She holds a Ph.D. in Computer Science & Engineering (Artificial Intelligence) from Manipal University Jaipur (2023), where her doctoral thesis — "Robust Gait Recognition System Using Deep Learning to Handle Covariates" — pioneered covariate-invariant biometric identification using end-to-end deep learning pipelines. During her doctorate, she served as a Visiting Scholar at FER, University of Zagreb, Croatia (2018–2019), an experience that culminated in the Best Paper Award at InTech 2018. Prior to her PhD, she spent eight years as an Assistant Professor in the CSE Department at Manipal University Jaipur, mentoring researchers and teaching advanced AI and computer vision coursework — earning the Excellent Young Researcher Award (MUJ, 2022) in recognition of her contributions.

Her research portfolio is prolific and high-impact. She has authored 50+ peer-reviewed publications — including papers in Artificial Intelligence Review (IF 9.59, Q1), Engineering Applications of Artificial Intelligence (IF 8.34, Q1), Neurocomputing (IF 5.78, Q1), and Pattern Recognition Letters (IF 5.1, Q1) — and holds 6 granted/pending patents across India, Australia, and South Africa. Her patents span domains as diverse as edge-AI gait recognition, pharmaceutical tracking via deep learning, content-based video ranking, cardio-metabolic disease detection, and sign language translation — a testament to the breadth and originality of her inventive work. Her research has attracted over 600 citations, reflecting its sustained impact on the global AI community.

Dr. Parashar's research interests are wide-ranging and at the frontier of AI: Gait Recognition, Biometrics, Large Language Models (LLMs), Generative AI, Computer Vision, NLP, Robotics, Bipedal Locomotion, IoT, and Brain–Computer Interaction. She is an active reviewer for prestigious journals including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, and Neurocomputing. She has delivered 10+ keynote speeches at international IEEE and Springer conferences and has served as Program Chair, Workshop Chair, and Program Committee Member at multiple global symposiums in Deep Learning, Computer Vision, and Biometrics.

At her core, Dr. Parashar is a builder — of systems, of knowledge, and of bridges between disciplines. Her ability to move fluidly between fundamental research and applied engineering makes her a rare voice in AI: one who can design a novel deep learning architecture in the morning and deploy it to an edge device by afternoon. With an unwavering commitment to advancing the boundaries of AI-driven science, she continues to shape the future of intelligent systems — one breakthrough at a time.

Download Full CV

Expertise

Research Areas

Computer Vision

Deep learning-based image analysis, object detection, segmentation, and visual intelligence systems for real-world applications.

Gait Recognition & Biometrics

Person identification through gait patterns, multi-modal biometric fusion, and behavioural analytics.

Deep Learning & Neural Networks

CNNs, RNNs, Transformers, and novel architectures for complex pattern recognition and classification tasks.

IoT & Edge AI

Intelligent systems on embedded hardware — Jetson Nano, Raspberry Pi, Arduino — for real-world AI deployments.

Humanoid Robotics

Bipedal locomotion, push recovery, and autonomous robot control using AI-driven motion planning algorithms.

Data Science & Analytics

Extracting insights from complex datasets through machine learning, statistical modelling, and visualisation.

Technical Stack

Skills & Tools

Languages

C C++ Java Python PHP JavaScript HTML XML CSS

Database

PostgreSQL MS-Access Oracle MySQL Firebase MongoDB

Webserver

Tomcat Web Logic Apache IIS Heroku

Cloud

Google Cloud Platform ThingSpeak Xively IBM Bluemix Microsoft Azure Amazon Web Service

Hardware Platforms

JetsonNano Arduino Raspberry Pi Orange Pi Intel Edison 8051 STM32F401 NUCLEO AVR XMEGA AVR Dragon ATMEL SAM4L Xplained Pro TIVA C TM4C123G FRDM–K64F NXP Lolin NodeMCU 8086

Operating System

Windows XP Windows 7 Windows 10 Linux – Red Hat Linux – Ubuntu UNIX DOS Raspbian

Subjective Knowledge

Theory of Computation Compiler Design Data Structure Algorithm Operating System Computer Networks Internet Technology Microprocessor DBMS Software Engineering Web Development

GenAI & Agentic AI

LLM Agents Agentic AI LangChain RAG FAISS DeepSeek Google Gemini GPT-4o LLaMA HuggingFace MCP gRPC Protobuf

Optimization & MLOps

OR-Tools PyVRP Ant Colony Optimization INT4 Quantization Low-Rank Adaptation FastAPI Streamlit Docker CI/CD MLOps Azure Container Apps Snowflake Redis pgvector

Software Tools

MATLAB GitHub LaTeX Weka PyTorch Caffe OpenCV DLIB Anaconda Google Colab Django TensorFlow Spyder Jupyter Notebook Sublime Webots OpenSim Choregraphe RemoteXY Arduino Studio Node.js Flask MobaXterm Flutter NetBeans Eclipse Android Studio SmartDraw RationalRose StarUML Microsoft Visio Selenium Photoshop Flash Blender Vegas Pro

Research Interests

Deep Learning Computer Vision Machine Learning Artificial Intelligence Neural Network Data Science Internet of Things Internet of Everything Robotics Bipedal Locomotion Biometrics Gait Humanoid Robotics Digital Image Processing Natural Language Processing Brain Computer Interface Human Computer Interaction

Recommendations

Sc. Prof. Dr. Slobodan Ribarić

Professor at University of Zagreb, Croatia.

September 13, 2018

Rarely do people come with as much drive as Anubha. When she was a PhD student, during that time, I was impressed by her research skills. She showcased talent, too—effortlessly juggling a wide array of technical skills. I'm confident that Anubha will have a bright future in her chosen career path of research and that she'll be an asset to any employer.

Dr. Imad Rida

Associate Professor at Université de Technologie de Compiègne (UTC), France.

January 24, 2023

Working with Anubha Parashar is a rare opportunity to come across, a self-driven researcher with team spirit. She did a marvellous job during her PhD for five years at Manipal University. She is innovative, organized as well as helpful and is always open to ideas and suggestions. It was a pleasure to mentor her for all these years.

Prof Dr. Weiping Ding

Professor at Nantong University, China.

February 8, 2023

Anubha Parashar worked as a PhD scholar under my supervision for five years. As a co-guide, I was consistently impressed by her research skills, her dedication, and commitment. She is an innovator who always invest time to improve knowledge and learn. She is focused, reliable, and goal-oriented, and always do her best. She is kind and an outstanding person and knows how to bring the best out of herself. Fit for industry and academia.

Prof. Dr. Rajveer Singh Shekhawat

Dean at Manipal University Jaipur, India.

February 2, 2023

Anubha Parashar worked as a research scholar at MUJ campus for five years. As a guide, I was impressed by her work ethic and research skills. She is a hard-working young lady with a great set of technical skills and commitment to her duty. She was always ready to go the extra mile to provide high-quality research outcomes. She will be an asset to any organization.

Dr. Vijay Bhaskar Semwal

Assistant Professor at Maulana Azad National Institute of Technology.

March 12, 2016

Here I would like to written about one of the most dynamic student of my career. i feel happy when i used to guided her. She has skill to convert the idea into dream. She is very good in bipedal walk and machine learning. I wish best for her. She is very good in matlab. Suitable for industry and academic.

Research Scientist& AI Innovator