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 a distinguished research scientist specializing in deep learning and artificial intelligence, with a primary focus on applications in data science and computer vision. As a key member of the research team at Invincible Ocean in Gurugram, India, Dr. Parashar plays a pivotal role in advancing and exploring innovative ways to harness AI technologies. Drawing upon her expertise, Dr. Parashar has made significant contributions to the development of state-of-the-art algorithms and computational models tailored to the unique complexities of computer vision in data science. Her pioneering efforts have led to the creation of AI-driven tools for data analytics, enabling researchers to extract valuable insights from complex datasets with unprecedented accuracy and efficiency.

Dr. Parashar's journey into the realm of AI began with a profound curiosity about the intersection of technology and the natural world. Armed with a strong background in computer science, she pursued advanced studies in artificial intelligence, culminating in the attainment of her Ph.D. in Computer Science and Engineering, majoring in Artificial Intelligence, from Manipal University Jaipur (MUJ), Jaipur, India, in 2023. Her research has spanned a diverse array of topics, ranging from Gait Recognition in neural networks to computer vision, laying the foundation for her groundbreaking work in the field. During her academic journey, Dr. Parashar also served as a visiting scholar at the University of Zagreb, Croatia, in 2018, broadening her perspectives and enriching her research experience.

Dr. Parashar's research interests encompass a wide range of topics, including Gait Recognition, Biometrics, Deep Learning, Computer Vision, Pattern Recognition, and IoT. Her pioneering efforts have led to significant contributions to the field, evident through her extensive publication record, which includes more than 50 research peer-reviewed journal and conference papers, including publications in prestigious journals such as Artificial Intelligence Review and Neurocomputing. Additionally, she holds six approved invention patents, highlighting her innovative contributions to the field. Recognized for her outstanding research achievements, Dr. Parashar was awarded the Excellent Young Researcher Award from MUJ in 2022, and she received the Best Paper of InTech 2018 in Zagreb, Croatia.

Dr. Parashar is actively engaged in reviewer activities for esteemed journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, Neurocomputing, and International Journal of Interactive Multimedia and Artificial Intelligence. She has also delivered more than 10 keynote speeches at international conferences and served as the Program Chair, Workshop Chair, or Program Committee Member of several international conferences and symposiums in the areas of Deep Learning, Computer Vision, Biometrics, and Artificial Intelligence.

Throughout her illustrious career, Dr. Parashar has been a staunch advocate for interdisciplinary collaboration and knowledge exchange. By actively bridging the gap between AI research and its real-world applications, she has played a pivotal role in tackling complex challenges from multiple perspectives. Her commitment to collaboration has fostered synergies between diverse fields, driving innovation and pushing the boundaries of what is possible in the realm of data science and AI. With her dedication, pioneering research, and collaborative spirit, Dr. Anubha Parashar continues to make indelible contributions to the field of AI-driven data science, paving the way for a more profound understanding of our world and its intricate complexities.

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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

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

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

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