Deeksha Chandola Email & Phone Number
Who is Deeksha Chandola? Overview
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Deeksha Chandola is listed as AI Engineer at Hivelighter Inc., a with 9 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Deeksha Chandola.
Deeksha Chandola previously worked as Scoping Review Research Assistant at York University and Graduate Research Assistant at York University - Lassonde School Of Engineering. Deeksha Chandola holds Master'S Degree, Electrical Engineering And Computer Science, 8.5/9 from York University.
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About Deeksha Chandola
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
Listed skills include Matlab, Articulate Storyline, Microsoft Office, Management, and 13 others.
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Deeksha Chandola work experience
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Scoping Review Research Assistant
• 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 Assistant
SENTRYNET: 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 Student
1. 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 Professor
Leadership 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 education
Master'S Degree, Electrical Engineering And Computer Science, 8.5/9
Summer School, Machine Learning
Master Of Technology (M.Tech.), Microelectronics And Embedded Technology
Bachelor Of Technology (B.Tech.), Electronics And Communication Engineering, Hons.
Medical
Doctor Of Philosophy - Phd, Computer Science
Frequently asked questions about Deeksha Chandola
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What company does Deeksha Chandola work for?
Deeksha Chandola works for Hivelighter Inc..
What is Deeksha Chandola's role at Hivelighter Inc.?
Deeksha Chandola is listed as AI Engineer at Hivelighter Inc..
Where is Deeksha Chandola based?
Deeksha Chandola is based in Toronto, Ontario, Canada while working with Hivelighter Inc..
What companies has Deeksha Chandola worked for?
Deeksha Chandola has worked for Hivelighter Inc., York University, York University - Lassonde School Of Engineering, Blackberry, and Jaypee Institute Of Information Technology, Noida.
How can I contact Deeksha Chandola?
You can use AeroLeads to view verified contact signals for Deeksha Chandola at Hivelighter Inc., including work email, phone, and LinkedIn data when available.
What schools did Deeksha Chandola attend?
Deeksha Chandola holds Master'S Degree, Electrical Engineering And Computer Science, 8.5/9 from York University.
What skills is Deeksha Chandola known for?
Deeksha Chandola is listed with skills including Matlab, Articulate Storyline, Microsoft Office, Management, Microsoft Word, Articulate 360, Artificial Intelligence, and Powerpoint.
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