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Home , Iyer

Shiva Radhakrishnan

Current Affiliations ● Computer Science Department, New York University ● Courant Institute of Mathematical Sciences

Contact Information Address: 60 Fifth Ave Room 420, New York NY 10011 Phone: +1 (212) 998-3340 (Office), +1 (646) 683-6315 (Mobile) E-mail: [email protected], [email protected] Website: https://cs.nyu.edu/~siyer

Research Interests ● Develop methods for large-scale spatio-temporal inference and predictive analytics ● Develop improved methods for communications in mobile and cellular networks, specifically in the context of Internet of Things

Education

Courant Institute of Mathematical Sciences, New York University Ph.D., Computer Science (2015-Present) Advisor: Prof Lakshminarayanan Subramanian GPA: 3.77/4

Indian Institute of Technology Madras, Chennai, B.Tech, Computer Science and Engineering (2008-12) Advisor: Prof Ravindran Balaraman CGPA: 8.91/10 (overall), 9.05/10 (core subjects)

Visakha Junior College, Visakhapatnam, Andhra Pradesh INDIA Class XII, Board of Intermediate , Andhra Pradesh (2008) Aggregate percentage: 94.8 (overall), 96.6 (maths and science subjects)

Visakha Valley School, Visakhapatnam, Andhra Pradesh INDIA Class X, Central Board of Secondary Education (2006) Aggregate percentage: 92.6 (overall), 98 (maths and science subjects) Current and Recent Research Projects

Improved congestion control methods for next-generation mobile networks ● Developed methods for early prediction of congestion state for mmWave channels, by posing it as a classification problem ● Worked on mathematical modeling of delay-based CC protocols as Markov processes for a model-driven approach to CC ● Currently working on improved congestion control approaches using machine learning techniques in mmWave and similar highly varying channels

Fine-grained spatiotemporal analysis and predictive modeling of air quality in ● Built a testbed of mobile handheld air quality sensors for the MUSIC as well as to collect fine- grained data on air pollution in Delhi in 2018 ● Worked on mathematical models for spatio-temporal analysis, and devised a novel deep learning based approach for spatio-temporal prediction and forecasting ● Currently working on a journal paper draft based on our experience and results

Inference and prediction of road traffic congestion from limited and sparse data ● Developed novel deep learning methods for traffic congestion state prediction on roads from bus mobility traces of New York City public buses ● Currently working on generalizing the approach and further improving prediction performance, particularly in unseen locations

MUSIC: A programmable framework for smart sensing applications ● Developed mobile app and backend system for data collection from a variety of sensors ● Implemented a stack for introducing control logic in the system for smart sensing ● Utilized the system for air quality monitoring in the city of Delhi

Secure Mobile Identities for mobile authentication ● SMI is a (partly) decentralized system for fast mobile authentication based on unique mobile device identities ● Worked on the entire evaluation of the protocol performance by simulation, using synthetic and real world mobile traces and carrier data

Work Experience

Nokia Bell Labs - Crawford Hill, Holmdel, NJ, USA Duration: Jun 2019 - Aug 2019 Position: Research intern Project: Machine learning for propagation modeling in wireless channels Supervisors: Jinfeng Du, Dmitry Chizhik, Reinaldo Valenzuela ● Identified and pinpointed drawbacks with prior approaches to the problem ● Developed an improved approach that yields better performance, while being more interpretable and much faster Wadhwani Institute for Artificial Intelligence (Wadhwani AI), , India Duration: Jun 2018 - Sep 2018 Position: Research intern Project: Frontline healthcare Supervisors: Rahul Alex Panicker, Nikhil Jagtiani ● Identified and formalized specific problems in the frontline healthcare operations in India ● Visited actual frontline healthcare clinics in the state of Rajasthan as part of the study ● Identified priorities for frontline health workers, and proposed an algorithm for work planning

Evidence for Policy Design (EPoD) India, Delhi, India Duration: June 2016 - Sep 2016 Position: Research consultant Project: Environmental Clearances Supervisor: Rohini Pande, Anant Sudarshan ● Analyzed clearances documents using text mining methods in order to extract relevant and interesting information ● Used open source GIS tools and Python for satellite image analysis to detect mines

TCS Innovation Labs, Chennai, India Duration: Sep 2012 - May 2015 Position: Researcher and data analyst Research focus: Building Energy Management, Model-driven analysis, Data-driven analysis Supervisors: Venkatesh Sarangan, Arunchandar Vasan ● Algorithms for optimizing energy consumption of a building based on critical building parameters. Redesigned and managed the Java code base for performing the analytics, which included integration with public libraries for building energy simulation and optimization algorithms. ● Data-driven analysis of large-scale real world energy data using Python. ● Model-driven analysis of retail energy consumption, energy disaggregation and benchmarking using EnergyPlus, a software suite for complete building specification and energy simulation. ● Simulation-based analysis of the effects of centralized HVAC control and occupancy on the energy consumption of building.

IBM India Research Lab, Delhi, India Duration: May 2011 - July 2011 Position: Summer research intern Research group: Cognitive computing Supervisors: Raghavendra Singh, Tapan Kumar Nayak ● Simulation-based study of the behavior of cortical neural networks with Spike Timing Dependent Plasticity ● Developed a comprehensive testbed with various different types of network configurations and firing patterns

Publications ● Talal Ahmad, Yasir Zaki, Shiva Iyer, Anirudh Sivaraman, Thomas Pötsch, Jay Chen, Lakshminarayanan Subramanian. Model-driven Interpretable Congestion Control. Under view. 2019. ● Talal Ahmad, Shiva Iyer, Luis Diez, Yasir Zaki, Ramón Agüero, Lakshminarayanan Subramanian. Learning Congestion State for mmWave Channels. To appear in Proceedings of the 3rd ACM MobiCom Workshop on Millimeter-Wave Networks and Sensing Systems (mmNets) 2019. ● Shiva R. Iyer, Soumie Kumar, Kate Boxer, Fatima Zarinni, Lakshminarayanan Subramanian. The Case for MUSIC: A Programmable IoT Framework for Mobile Urban Sensing Applications. arXiv. 2018. ● Shiva Iyer, Kate Boxer, Lakshminarayanan Subramanian. Urban Traffic Congestion Mapping using Bus Mobility Data. In Proceedings of the first ACM SIGKDD Workshop on Knowledge Discovery and User Modeling for Smart Cities (UMCit) 2018. ● Rishabh Ranawat, Ashwin Venkataraman, Shiva Iyer, Srikanth Jagabathula, Lakshminarayanan Subramanian. Data-driven Probabilistic Framework for Student Learning. ICML Workshop on AI and Computational Psychology: Theories, Algorithms and Applications (CompPsy) 2018. ● Srinarayana Nagarathinam, Arunchandar Vasan, Venkata Ramakrishna P., Shiva R. Iyer, Venkatesh Sarangan, Anand Sivasubramaniam. Centralized Management of HVAC Energy in Large Multi-AHU Zones. In Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments (BuildSys 2015). 157-166. ● Shiva R. Iyer, Maathangi Sankar, Venkata Ramakrisha P., Venkatesh Sarangan, Arunchandar Vasan, Anand Sivasubramaniam. Energy Disaggregation Analysis of a Supermarket Chain using a Facility-Model. Energy and Buildings. Volume 97. 15 June 2015. 65-76. ● Maathangi Sankar, Venkata Ramakrishna P., Shiva R. Iyer, Venkatesh Sarangan, Arunchandar Vasan, Anand Sivasubramaniam. Comparing apples to oranges: Energy Benchmarking of Supermarkets with Limited Data. In Proceedings of the 5th international Conference on Future Energy Systems (e-Energy 2014). 223-224. ● Shiva R. Iyer, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam. Watts in the basket?: Energy Analysis of a Retail Chain. In Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings (BuildSys 2013). 1-8.

Relevant Coursework Algorithms and theory: Data Structures and Algorithms, Theory of Computation, Honors Analysis of Algorithms Computer systems: Operating Systems, Computer Networks, Honors Operating Systems, Networks and Mobile Systems Applications: Machine Learning, Geometry in Computer Vision, Probabilistic Graphical Models, Pattern Recognition, Reinforcement Learning, Deep Learning, Natural Language Processing. Other: Numerical Methods and Linear Algebra.

Teaching ● Fall 2017, Teaching Assistant, Big Data and ML Systems (CSCI-GA. 3033-016) ■ Instructor: Prof Lakshmi Subramanian ■ Department: Dept of Computer Science, NYU Courant ■ Notes: Designed all the homeworks for the course and conducted weekly recitation sessions for the class of size approximately 60. ● Fall 2019, Teaching Assistant, Foundations of Networks and Mobile Systems (CSCI-GA. 2630- 001 and 002) ■ Instructor: Prof Lakshmi Subramanian ■ Department: Dept of Computer Science, NYU Courant

Past Academic Projects

Virtual Memory Compression in JOS Nov 2015 - Dec 2015 ● Course project for the Honors Operating Systems course, taught by Prof. Michael Walfish in Fall 2015 at NYU CS department ● Implemented (as a team of two) a user-level library that used in-memory compression buffers as backing store to provide additional usable address space for user programs

Modelling of Parkinsonian handwriting Dec 2011 - May 2012 ● Bachelors thesis project with Prof. Balaraman Ravindran, Dept of CS & Engineering, and Prof. Srinivasa Chakravarthy, Dept of Biotechnology, IIT Madras ● Studied the role of basal ganglia in handwriting, neuro-motor models for handwriting and the use of Hierarchical Reinforcement Learning to model generation of handwriting ● Built a learner that could learn to generate English cursive letters from primitive curves using RL

Implementation of a Mini Processor Aug 2009 - Dec 2009 ● Final project in the Digital Design course under Prof. Madhu Mutyam, Dept of CS & Engineering, IIT Madras ● Implemented a complete working minimal processor in Verilog and burnt it on a FPGA board

Laya (rhythm) identification in songs Oct 2011 - Dec 2011 ● Project in the Pattern Recognition course under Prof. Hema Murthy, Dept of CS & Engineering, IIT Madras ● Worked on Hidden Markov Models for analyzing simple songs for the problem of identifying the tala, or the periodicity in the percussion rhythm. Produced my own dataset by playing my mrdangam, a south Indian classical percussion instrument.

Skills ● Systems and network programming using C, C++ and Java ● Software development in Java ● Android app and backend development ● Data analysis and statistics tools – Python, MATLAB, Gnuplot ● Typesetting using LaTeX ● Familiarity with Linux and Windows environments Honors and Awards ● Awarded the Henning-Biermann Prize by the Courant Institute of Mathematical Sciences for outstanding contributions by a doctoral student to education or service to the department of computer science (2019) ● Awarded the MacCracken Fellowship by the Graduate School of Arts and Sciences to pursue a PhD program in Computer Science at New York University (2015) ● Stood in the top 20 among the batch of undergraduates in terms of academic performance in IIT Madras in 2008, 2009 and 2010 ● Secured All India Rank 120 in the Joint Entrance Examination 2008, the exam taken by high school seniors to secure admission into the IITs for undergraduate programs ● Secured All India Rank 179 in the Engineering category, and All India Rank 25 in the Architecture category, in the All India Engineering Entrance Examination 2008, the former exam taken by high school seniors to secure admission into other top engineering colleges in India apart from IITs ● Runners-up in the international Prof. Brahm Prakash Memorial Materials Quiz 2007 organized by the Indian Institute of Metals (IIM), Kalpakkam Chapter ● Qualified the Aptitude Test in the Kishore Vaigyanik Protsahan Yojana (KVPY) fellowship program in 2006 ● Stood first in school in the All India Secondary School Examination (AISSE) by the Central Board of Secondary Education (CBSE) in 2006 ● Awarded Certificate of Merit for excellent performance in the All India Talent Search Examination (AITSE) in 2003 ● Awarded Certificate of Merit for academic excellence in school in the years 2001 and 2002

Professional Memberships ● Member of the New York Academy of Sciences (NYAS) (2015-present)

Service ● Fire Warden and member of the Emergency Response Team at the workplace of TCS Innovation Labs, Chennai, India (2013-15) ● Campus Ambassador for IBM India in IIT Madras (2011-12) ● Secretary of the Classical Music Club, IIT Madras (2010-11) ● Organizer and coordinator of various in-college events/competitions such as: ■ Code Darwin, a software engineering competition, in one of the annual technical festivals of IIT Madras, Shaastra 2011 ■ Ethical Hacking workshop in the CS department festival Exebit 2010 at IIT Madras ■ Shaastra Cube Open, an annual open Speedcubing (speedsolving of the Rubik’s Cube and its many variants) competition, recognized by the World Cube Association, in 2009 and 2010 ● Taught maths and science subjects as a Volunteer to school students in local underserved schools under the National Service Scheme in IIT Madras in the academic year 2008-09, and supervised a group of junior students as a Coordinator under the same program in the succeeding year 2009-10.