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Education
Iowa State University Ames, IA, USADoctor of Philosophy - Computer Engineering; GPA: 3.Street Address July 2016 - July 2023
Sastra University Thanjavur, TN, IndiaMaster of Technology - VLSI Design; GPA: 3.55 July 2011 - May 2013
Anna University Nagapattinam, TN, IndiaBachelors of Engineering - Electronics and Communication Engineering; GPA: 3.35 July 2006 - Dec 2010 Skills Summary Languages: Python, SQL, C, C#, R, Verilog HDL, System Verilog ML Frameworks: Scikit, Pytorch, Tensorflow, Keras, Caret, KernLab, RPart, Nnet Scripting: Shell scripting, TCL, SKIL Statistical Analysis: MATLAB, JMP, MiniTab Visualization: Tableau, PowerBI, ggplot, matplotlib, seaborn, pyplot Cloud Computing: Google Colab, Azure Machine Learning, Databricks Hardware: Electronics Design, Digital IC Design, Xilinx Evaluation Boards, SoC, FPGA, ARM Processor Soft Skills: Leadership, Communication, Technical Presentations, Technical Writing Experience
Synopsys Inc. Mountain View, CaliforniaTechnical Engineering Intern Aug 2022 - Jun 2023Hardware: Spearheaded DFT integration into Hardware IPs, optimizing ATPG patterns and Validating hardware security logic to detect malfunctioning ICs. Resolved DFT-related issues, conducted structural equivalence checking using formal tools and validated the security against SAT-based key recovery attack.Analytics: Conducted statistical analysis (regression) of resource utilization (area, power) and secret key size for multiple technology library.Visualization: Published interactive dashboards and creative visualization stories using PowerBI.
Iowa State University Ames, IowaGraduate Research Assistant Sep 2016 - Jun 2022Hardware: Engineered an on-chip sensor for program state monitoring on Zynq MPSoC. Conducted PDN tree analysis for side-channel attack resistance, integrating decoupling units into CAD tools. Extracted time series data features and built statistical models to assess data-dependent leakage. Developed RNS-based secure logic for cryptographic applications, employing machine learning to evaluate SCA countermeasures.Preprocessing: Implemented data preprocessing techniques for PSCA, including signal denoising, feature extraction, and normalization. Enhanced accuracy of machine learning models by optimizing data quality and reducing noise, facilitating more effective identification of implementation vulnerabilities and validation for secure circuits.Analytics: Employed advanced analytics techniques(Kurtosis, FFT, Wavelet Transform, Autocorrelation, Crosscorrelation) to extract time series data features, constructing robust statistical models for assessing data-dependent leakage vulnerabilities.Visualization: Developed and utilized visualization techniques to analyze PSCA data, employing tools like Tableau for clear and effective data representation.Machine Learning: Hands on experience implementing a diverse set of machine learning methods(CNN, RNN, LSTM, Autoencoders) to extract the insights from complex data contributing to the development of robust countermeasures against security threats.
SETS Chennai, IndiaProject Associate Jun 2013 - Jun 2016Hardware: Conducted quantitative studies to enhance cryptographic robustness against side-channel attacks, developing and applying advanced statistical techniques in FPGA power modeling. Coordinated cross-functional efforts in FPGA evaluation, ensuring comprehensive assessments of side-channel attack resistance.Statistics: Proficient in utilizing statistical distinguishers such as difference of mean, Pearson correlation, and Mutual Information Analysis (MIA) to assess vulnerabilities and mitigate power side-channel attacks. Skilled in applying advanced statistical techniques to analyze data patterns and enhance security measures in FPGA implementations.Visualization: Proficient in data visualization techniques, adept at creating compelling visual representations of data insights to facilitate effective communication and decision-making. Projects Inimical Hardware Detection: Developed an innovative hardware detection system with a ring oscillator-based power stream sensor, ensuring early threat detection and seamless integration on a reconfigurable platform for enhanced system security. Utilized advanced machine learning techniques(SVM, K-means, PCA, Gaussian Mixture Models,Random Forets) for pattern matching and clustering to enhance detection capabilities. (2022) Decoupling Monitor Unit for Board-level Trojan Identification: Led the development of an advanced board-level trojan monitoring system for Zynq SOC, incorporating robust communication, synchronization of program execution, and employing sophisticated data analysis techniques such as LSTM and RNN for accurate threat detection. (2021) Flight Cancellation Forecasting: Developed an ARIMA model for weather forecasting using sensor data from the National Oceanic and Atmospheric Administration, and constructed a statistical classifier achieving 97.40% accuracy in predicting flight cancellations at Des Moines International Airport. (2021) Handwritten Digit Recognition: Developed and optimized a CNN and RNN for highly accurate handwritten digit classification, achieving over 98.15% accuracy through rigorous hyperparameter tuning. (2021) Web Scraping Game Stats: Developed Python web scraping scripts for extracting and transforming match data from English Premier League and NBA Statistics, automating the data retrieval process, and generating insightful visualizations for real-time analysis of match trends and player performance. (2021) Movie Recommendation Engine: Designed and implemented a collaborative filtering movie recommendation engine with matrix factorization techniques, integrated into a user-friendly interface, and continually improved algorithms for enhanced personalization based on user feedback. Performed quality control measures to ensure the accuracy and reliability of the recommendation engine s output. (2020) Piezoelectric energy harvesting: Evaluated the stability and reliability of power output from piezoelectric energy harvesting systems aimed at charging handheld devices. This research involved assement and improvement of key performance metrics such as conversion efficiency, durability, and magnitude of power output. (2019) Retail Stock Market Prediction: Conducted time-series analysis on historical retail stock market data, utilized statistical models and machine learning algorithms, including LSTM, for forecasting, assessed external factors impact on stock prices, and presented actionable insights for investment decisions. (2018) Logic-Level SCA Countermeasure: Executed a proactive validation of side-channel countermeasures in the AES algorithm. Implemented and conducted a SPICE Simulations on t-private circuit and RNS secure logic to ensure effectiveness, reliability, and quantified insights into performance overhead. (2017) Publications Selvam, R., Tyagi, A. Residue Number System (RNS) and Power Distribution Network Topology-Based Mitigation of Power Side-Channel Attacks. Cryptography. 2024; 8(1) Selvam R., Tyagi A. A Side-Channel Evaluation of On-chip Vdd Distribution Network with Decoupling Capacitance. SN COMPUT. SCI. 2023; 77(4). Selvam R., Tyagi A. An Evaluation of Power Side-Channel Resistance for RNS Secure Logic. Sensors. 2022; 22(6). Selvam R., Tyagi A. Power Distribution Network Capacitive Decoupling for Side-Channel Resistance. IEEE International Symposium on Smart Electronic Systems (iSES), Jaipur, India. 2021, pp. 183-188. Selvam R., Tyagi A. Power Side Channel Resistance of RNS Secure Logic. 2018 31st Inter. Conf. on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID), Pune, India. 2018, pp. 143-148. Selvam R., Shanmugam D., Annadurai S., Rangasamy J. Decomposed s-boxes and DPA attacks: A quantitative case study using PRINCE. 2016 Lecture Notes in Computer Science, Security, Privacy, and Applied Cryptography Engineering(SPACE), India. 2016 pp. 179-193. Selvam R., Shanmugam D., Annadurai S. Vulnerability Analysis of PRINCE and RECTANGLE using CPA. 2015 Proceedings of the 1st ACM Workshop on Cyber-Physical System Security (CPSS), Singapore. 2015 pp. 81-87. Shanmugam D., Selvam R., Annadurai S. Differential Power Analysis on SIMON and LED Block Ciphers. 2014 Lecture Notes in Computer Science, Security, Privacy, and Applied Cryptography Engineering (SPACE), India. 2014 pp. 110-125. Leadership and Volunteer Experience
Sankalp Ames, IowaDaawat Coordinator Mar 2017 - Feb 2022Reviewed budgets proposals of several non-profit organizations from India and secured funding for the same by hosting an annual fundraising dinner.Successfully conducted 2 fundraisers and raised over 5000$ to aid COVID-19 patients in India.Volunteered at tree plantation drive and free meal program at our local community, organized by Ames Foundation.
ECE Department Students Association (SPARKS) Nagapattinam, India President Aug 2008 - May 2010Organized a national level technical symposium (Inferno 2K10) and extracurricular events including inter- college sports events and cultural.Created yearly agendas, facilitated department meetings, coordinated the committee members, and delegated the tasks to fulfill the association s agendas. |
