“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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Skills

Languages

C, C++, JAVA, Python, PHP, JAVA SCRIPT, 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 Cloud, Amazon Web Service

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, AndroidStudio, SmartDraw, RationalRose, StarUML, Creative fly mod, Microsoft Visio, Selenium, Photoshop, Flash, Blender, Vegas Pro

Hardware Platforms

JetsonNano, Arduino, Raspberry pi, Orange pi, Intel Edison, 8051, STM32F401 NUCLEO, AVR XMEGA, AVR Dragon, ATMEL SAM4L Xplained Pro, TIVA C SERIES TM 4C123G Launch Pad, FRDM – K64F NXP, Lolin NodeMCU, 8086

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 (locomotion & push recovery), Digital Image processing, Natural Language Processing, Brain Computer Interface, Human Computer Interaction

Subjective Knowledge

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

Operating System

Windown XP, Windows 7, Windows 10, Linux (Red Hat, Ubuntu), UNIX, DOS, Raspbian

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