Harshdeep Singh

Dynamic software development professional with 4 years of experience creating innovative solutions across various industries. Skilled at transforming client needs into effective digital experiences with intuitive interfaces, robust databases, and clean code. Proficient in building complex machine learning algorithms, implementing user-driven enhancements, and delivering scalable, efficient solutions.

• Earned the best poster award in IEEE ISVLSI conference 2024 held in Knoxville, Tennessee.
• Served as a Panelist in Cyber Security Pathways to Success Workshop at Sinclair Community College, Dayton Ohio.
• Served as a panelist in Cyber Security workshop at Clark State University, Springfield, Ohio.
• Attended HOST conference in 2023.
• Presented Papers in Midwest (MWSCAS) conference and NAECON conference.
• Two poster presentation of published papers in PAINE conference, IFIP conference.
• One Accepted journal in springer nature journal of hardware security and trust.
• One paper best poster award in ISVLSI conference.
• Two Journal papers are submitted in IEEE transaction journal.

• Singh, Harshdeep, Vishnu Vardhan Baligodugula, and Fathi Amsaad. "Shrew Distributed Denial-of-Service (DDoS) Attack in IoT Applications: A Survey." IFIP International Internet of Things Conference. Cham: Springer Nature Switzerland, 2023.
• Bhatta, Niraj Prasad, et al. "Aging of SRAM PUFs: Mitigation and Advancements Through Machine Learning Techniques." 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE) (2023): 1-6.
• Singh, Harshdeep, et al. "Evaluating the Robustness of SRAM Physical Unclonable Functions: Empirical Investigations." 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE). IEEE, 2023.
• Singh, Harshdeep, et al. "ML-Assisted Security for the Detection of DDoS Attacks in Connected IIoT Environment: Implementation and Comparative Analysis." NAECON 2023-IEEE National Aerospace and Electronics Conference. IEEE, 2023.
• Ghimire, Ashutosh, et al. "Potential of Unsupervised Deep Learning for Detection of EM Side-Channel Attacks." 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE). IEEE, 2023.
• Bhatta, Niraj Prasad, Harshdeep Singh, and Fathi Amsaad. "Benchmarking for Hardware Security: Types, Design Levels, and Limitations." 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2023.
• Singh, Harshdeep, et al. "Accelerated Aging Effects on SRAM PUF reliability at various Temperature and Voltage conditions." (2023).
• Bhatta, Niraj Prasad, Harshdeep Singh, and Fathi Amsaad. "Analyzing aging effects on SRAM PUFs: Implications for security and reliability." (2023).

AI ENABLED HARDWARE SECURITY, 01/2023, 04/2024, Machine Learning Attack resistant PUF's/SRAM aging and counterfeit chip analysis using support vector machine, xgboost and random forest classifier. Detecting Distributed Denial of Service (DDoS) attack in IOT environment using neural network. Exploring various benchmarking techniques for hardware security including design levels and limitations. NEURAL NETWORK MODEL FROM SCRATCH, Fall 2022, Designed, constructed, and tested a neural network that competes with pre-trained library models. LOGISTIC REGRESSION MODEL FROM SCRATCH, Summer 2022, Designed and tested logistic regression with gradient descent working to give great results from a given classification or prediction dataset. TEXT BASED MACHINE LEARNING PREDICTION MODEL, Spring 2022, A text-based classification model using python's spicy library that can understand the intent of a paragraph or a document based on a custom-made dictionary and pattern recognition algorithm. MUSIC CLASSIFICATION NEURAL NETWORK, Fall 2021, Designed, constructed, and tested a neural network that can correctly identify if a given recording of a triad chord represents a major or minor triad. Created an Audio database, trained the neural network and predicted the outcomes with 96% accuracy. NEURAL NETWORK / DEEP LEARNING ALGORITHMS, Fall 2021, Coded MLP (Multi Layered Perceptron) from scratch and implemented linear and logistic regression. Designed the algorithm for back propagation, self-organizing map, k-cross validation from scratch and implemented convolution neural networks for course assignments. ECOMMERCE WEBSITE, Spring 2018, Coded e-commerce website from scratch that sells all the electronic devices in Php and JavaScript. Used MySQL database to create and manage the dataset with saving and retrieving information.

• Former President of Sikh Student Association at Wright State.
• Best Poster Award for a paper publication at IEEE ISVLSI conference.
• Guitar and Harmonium player.
• Good presentation and communication skills.
• Leadership experience.