AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Associate Professor - CSIS, Associate Head - APPCAIR, Ex-LSBU, UCL, QMUL, Motorola, CDoT
Interests and aspirations- My research lies at the intersection of AI and networked/data systems, with a focus on distributed edge AI and data management in IoT. I work on data science applications in climate and health, including environmental monitoring (e.g., air pollution), smart buildings (e.g., energy efficiency), and digital health. My core interests also include knowledge discovery and sense-making from multimodal sensor data streams, spanning time series, audio, and textual data. I have extensive experience in sensor deployment, sensor data analysis and conducting real-world data collection studies. Research and academia experience: I lead the SUST.AI.N research lab, which focuses on developing digital technologies for social good, addressing pressing challenges in environmental sustainability, health, and well-being. Also, working/worked on 2 internally funded BITS projects as PI, 2 externally funded (DST, DRDO) projects as PI and 3 externally funded projects (DST, TIH, Industry) as Co-PI in research themes related to IoT and Data Science. In the past, I have been the Principal Investigator on a H2020 EU project "SocialTruth" and Co-Investigator on an Innovate UK funded Knowledge Transfer Partnership “Smart Ear protectioN in noiSy Environments” during my academic job at LSBU. I have worked as a postdoc on an Innovate UK research project related to Energy reduction in built environments using advanced data analytics on Building energy management systems (BEMS) data streams. I have also worked as a postdoc on an EPSRC-funded research project related to wheelchair accessibility at UCL and my role involved instrumenting the wheelchairs with smartphone and bespoke sensor devices to collect data and analyse the same for accessible way-finding for wheelchair users. Prior to that, I worked on developing energy-efficient, adaptive sampling algorithms for urban s
Queen Mary University of London
Doctor of Philosophy (Ph.D.), Wireless Sensor Networks
January 1, 2009 – January 1, 2014
Indian Institute of Technology, Delhi
M.Tech., Computer Science
January 1, 2003 – January 1, 2006
Punjab Engineering College
B.E., Computer Science
January 1, 1997 – January 1, 2001
Computer Science & Information Systems @ BITS Pilani Hyderabad Campus
Associate Professor
April 1, 2023 – Present
Computer Science & Information Systems @ BITS Pilani Hyderabad Campus
Assistant Professor
July 1, 2019 – April 1, 2023
London South Bank University
Lecturer (Assistant Professor) in Machine Learning
September 1, 2017 – May 1, 2019
London South Bank University
Postdoctoral Researcher
May 1, 2016 – August 1, 2017
University College London
Postdoctoral Research Associate
June 1, 2014 – December 1, 2014
London
Queen Mary University of London
Researcher and Teaching Assistant
January 1, 2014 – June 1, 2014
Queen Mary University of London
Research Assistant and Doctoral Candidate
October 1, 2009 – January 1, 2014
Motorola
Senior Software Engineer
July 1, 2006 – September 1, 2008
Bangalore
CDOT
Senior Research Engineer
July 1, 2001 – June 1, 2006
New Delhi Area, India
Cultural Fit Analysis
The candidate's background is predominantly academic and research-oriented, with significant experience in teaching and postdoctoral research. While this demonstrates deep technical expertise and a commitment to learning, the transition to a corporate 'Data Analyst' role might require an adjustment in focus from theoretical research to practical business problem-solving and product-driven outcomes. The lack of recent industry experience (since 2008) could indicate a potential gap in understanding commercial priorities and fast-paced development cycles. The target role 'Data Analyst' aligns with their research focus on data analysis and machine learning, but the specific application context might differ significantly from their academic work.
Soft Skills & Operational Fit
The candidate's extensive academic career as a professor and researcher suggests strong analytical, problem-solving, and communication skills. Their roles involved teaching and research, implying an ability to explain complex concepts and work independently. However, the resume lacks explicit details on collaborative project work outside of academic research teams, which could be a point for further inquiry regarding operational fit in a corporate data analyst team.