Ph.D. candidate in Computer Science at York University with a strong research background and machine learning and data science expertise. Skilled in developing innovative ML models using deep learning and graph-based approaches. Passionate about leveraging technology to solve complex problems and drive positive change and seeking opportunities in machine learning and data science to apply expertise in real-world contexts.EXPERIENCE Vision Graphics and Robotics Lab (VGR Lab), PhD Research, York University
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Ai EngineerHivelighter Inc.Toronto, On, Ca -
Scoping Review Research AssistantYork University Aug 2024 - PresentToronto, Ontario, Canada• Researched and supported the Engaging Women in Cardiac Rehabilitation through Virtual Reality project.• Developed a scoping review plan for the research theme.• Collaborated with team members to analyze data and present findings effectively. -
Graduate Research AssistantYork University - Lassonde School Of Engineering Aug 2020 - PresentToronto, Ontario, CanadaSENTRYNET: Developing trust among soldiers, civilians and robots (Ongoing Project)• The objective of this project is to explore the development of methodologies and technologies that will enable autonomous robots to interact with the public and respond to situations in a manner that maintains control and security of the local environment.Real Time Emotion Recognition Model• Implemented a real-time emotion recognition system to generate emotion sensitive responses to utterances.• As a proof of concept, the methodology is implemented on the Sentrybot robot with a core focus to monitor emotional state of the user.A user interest prediction model in online social networks• In this work users’ interest in discussions in online social networks for the purpose of targeted advertisement are investigated. Three graphs are generated: one that models the user’s interest as a labeled undirected bipartite graph network, with users on one side of the graph and discussions on the other side, a second graph that models the user-to-user relationship based on interest and lastly a graph that models the discussion-to-discussion relationship based on topic of interest. • All these graphs are then analyzed to extract the most prominent topics or the most trending topics of interest in the network and the general associated users’ interest towards these topics in that period of time. -
Security Assurance Research StudentBlackberry May 2021 - Dec 2021Canada1. Worked on a project that includes application of topic modeling approaches on the knowledge-based (KB) articles applicable to CSO support.2. Designed an experimental apparatus to build the data used to evaluate the internal space variation of LDA topic modeling.3. Performed statistical testing (hypothesis testing) to identify the distribution of data.4. Explored the various topics for evaluating the quality of topic modeling to create explainable topics.5. Explored and researched new automated ML based approaches for cybersecurity applications.6. Also the team had been able to received a patent in the field of multilingual topic mining. -
Assistant ProfessorJaypee Institute Of Information Technology, Noida Jul 2014 - Dec 2019Sector-128, NoidaLeadership experienceInternational Conference on Signal Processing and Communication (ICSC-2015, 2017, 2018, 2019)Core member of the organizing committee for four years and was responsible for –• Designing schedule for the conference • Inviting researchers and professors for the conference• Conversing with professors across the globe for submission of technical papers• Accommodation, transport and excursions of the guests• Coordinating with student volunteers for registration work, anchoring and other event related activitiesMentorship Committee for undergraduate students• Understanding the difficulties of the student related to academics and personal problems• Guiding the students for future prospective opportunities• Maintaining a progress report of their academic achievements• Help them to network and collaborate with the resources of the field of interestCourse Design and Time-table Committee• Designed an online course in association with world’s leading Software company “Infosys” for training and placement of UG students• Introduced and designed an elective course on MEMS technology for undergraduate students• Responsible for coordinating and designing the individual and departmental level teaching load of the faculty membersFaculty development program, Workshops and Talks•“Robotics and AI” organized by Ministry of Electronics and Information Technology (MeitY), Electronics and ICT Academy, NIT, Patna, 2019•“Data Science and Visualization tools”, National Workshop, JIIT Noida, 2018•“AI and IoT: Lead the Age of Sensor Technology”, National Workshop, JIIT Noida, 2018• IEEE EDS “MEMS Prototyping, RF MEMS, Fabrication, Design and Modelling, IIT Roorkee, 2015• Embedded Systems” conducted by Prof. Vijaykrishna Narayanan and “Design for Testability” by Prof. Krihsnendu Chakrabarty as part of the Indo-US Engineering Faculty Leadership Institute• Delivered talk at Cadence Design System (CDS), Noida on “MEMS Technology and Applications”
Deeksha Chandola Skills
Deeksha Chandola Education Details
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8.5/9 -
Machine Learning -
Microelectronics And Embedded Technology -
Hons. -
Kendriya Vidyalaya , NoidaMedical -
Computer Science
Frequently Asked Questions about Deeksha Chandola
What company does Deeksha Chandola work for?
Deeksha Chandola works for Hivelighter Inc.
What is Deeksha Chandola's role at the current company?
Deeksha Chandola's current role is AI Engineer.
What schools did Deeksha Chandola attend?
Deeksha Chandola attended York University, Skolkovo Institute Of Science And Technology, Jaypee University Of Information Technology, Abes Engineering College, Kendriya Vidyalaya , Noida, York University.
What are some of Deeksha Chandola's interests?
Deeksha Chandola has interest in Science And Technology, Education.
What skills is Deeksha Chandola known for?
Deeksha Chandola has skills like Matlab, Articulate Storyline, Microsoft Office, Management, Microsoft Word, Articulate 360, Artificial Intelligence, Powerpoint, Research, Microsoft Excel, Mems, Microelectronics And Embedded Systems.
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Deeksha Chandola
Delhi, India
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