Shiva Radhakrishnan Iyer

Current • Computer Science Department, New York University Affiliation(s) • Courant Institute of Mathematical Sciences

Contact Address: 60 5th Avenue Room 420, New York NY 10011 Information Phone: +1 (212) 998-3340 (Office), +1 (646) 683-6315 (Mobile) Email: shiva[email protected], [email protected] Website: https://cs.nyu.edu/~siyer

Research • Build models for large-scale spatiotemporal inference and predictive analytics in an urban context, Interests inspired from and in conjunction with physical processes and models • Develop algorithms and protocols for improving transport and application layer performance in wireless and cellular networks, specifically in the context of IoT applications • Bring together multiple fields such as data science, statistics, computer networking and policy in order to solve important urban problems

Education Courant Institute of Mathematical Sciences, New York University Ph.D., Computer Science (2015-Present) • Thesis advisor: Prof. Lakshminarayanan Subramanian

Indian Institute of Technology Madras, Chennai, Tamil Nadu INDIA B.Tech, Computer Science and Engineering (2008-12) • Thesis 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 Education, 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)

Recent and Improved congestion control methods for next-generation mobile networks Ongoing • New delay-based congestion control algorithm designed for mmWave networks Research • Mathematical modeling of delay-based congestion control algorithms protocols as Markov pro- Projects cesses for a model-driven approach to congestion control

Fine-grained spatiotemporal analysis and predictive modeling of air quality in Delhi • Large-scale air quality monitoring in Delhi using about 30 custom-built low-cost sensors • Models for pollution hotspots and spatiotemporal modeling and forecasting

Inference and prediction of road traffic congestion from limited data • Predict road traffic congestion in time and space from limited public bus movement data • New message-passing architecture in a deep neural network to model congestion propagation between road segments

MUSIC: A programmable framework for smart sensing applications • Mobile application and backend system for data collection from a variety of sensors in next- generation IoT architectures • New software stack for introducing control logic for smart sensing Work Experience Nokia Bell Labs - Crawford Hill, Holmdel, NJ, USA (Jun 2019 - Aug 2019) Position: Research intern Project: Machine learning for propagation modeling in wireless channels • Identified and pinpointed drawbacks with prior approaches to the problem • Developed an improved approach that yields better performance, while being faster and more interpretable • Presented our work to the President of Bell Labs Dr. Marcus Weldon and won the Nokia Bell Labs Innovation Project Award

Wadhwani Institute for Artificial Intelligence (Wadhwani AI), Mumbai, India (Jun 2018 - Sep 2018) Position: Research intern Project: Frontline healthcare • 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 (Jun 2016 - Sep 2016) Position: Research consultant Project: Environmental Clearances • 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 in order to detect mines

TCS Innovation Labs, Chennai, India (Sep 2012 - May 2015) Position: Researcher and data analyst Research Focus: Building Energy Management, Model-driven analysis, Data-driven analysis • Developed algorithms for optimizing energy consumption of a building based on critical build- ing 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 (May 2011 - July 2011) Position: Summer research intern in the Cognitive Computing group • Simulation-based study of the behavior of cortical neural networks with Spike Timing Depen- dent Plasticity • Developed a comprehensive testbed with various different types of network configurations and firing patterns

Publications and • Muhammad Khan, Yasir Zaki, Shiva Iyer, Talal Ahmad, Thomas P¨otsch, Jay Chen, Anirudh Drafts Sivaraman, Lakshmi Subramanian. The Case for Model-Driven Interpretability of Delay- based Congestion Control Protocols. SIGCOMM CCR. 2021. • Shiva R. Iyer, Ulzee An, Lakshminarayanan Subramanian. Forecasting Sparse Traffic Con- gestion Patterns using Message-Passing RNNs. IEEE International Conference on Acous- tics, Speech and Signal Processing (ICASSP) 2020. (first two authors contributed equally) • Talal Ahmad, Shiva Iyer, Luis Diez, Yasir Zaki, Ram´onAg¨uero,Lakshminarayanan Subramanian. Learning Congestion State for mmWave Channels. 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 Map- ping using Bus Mobility Data. Proceedings of the first ACM SIGKDD Workshop on Knowl- edge 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 Work- shop 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. Proceedings of the 2nd ACM International Conference on Embedded Sys- tems for Energy-Efficient Built Environments (BuildSys 2015). • 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. Proceedings of the 5th international Conference on Future Energy Systems (e-Energy 2014). • Shiva R. Iyer, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam. Watts in the basket?: Energy Analysis of a Retail Chain. Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings (BuildSys 2013).

Relevant Algorithms and theory: Data Structures and Algorithms, Theory of Computation, Honors Analysis Coursework 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, 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 Virtual Memory Compression in JOS Nov 2015 - Dec 2015 Projects • 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 & E, 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 & E, IITM • 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 & E, IITM • 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 percussion instrument.

Honors and • Awarded the Nokia Bell Labs Innovation Project Award for one of the top 20 best summer Awards internship projects at Nokia Bell Labs (2019) • 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 • Stood in the top 20 among the batch of undergraduates in terms of academic performance in college in 2008, 2009 and 2010 • Secured All India Rank 120 in the Joint Entrance Examination 2008 • 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 • 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 Exam- ination (AITSE) in 2003 • Awarded Certificate of Merit for academic excellence in school in the years 2001 and 2002

Leadership • Fire Warden and member of the Emergency Response Team at the workplace of TCS Innovation Activities 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) • Active member of the National Service Scheme (NSS) in India (2008-10) o Taught mathematics and science as a Volunteer to middle school students in local underserved schools under the NSS in IIT Madras in the academic year 2008-09 o Supervised a group of junior students as a Coordinator under the same program in the suc- ceeding year 2009-10