Hi, I'm

Himanshu
Pandey

|

PhD researcher at IIT Kanpur specializing in Hardware Security, IoT, and Machine Learning. Passionate about solving complex problems at the intersection of systems security and AI.

3+
Research Papers
4+
Years Experience
8.0
PhD CGPA @ IIT
5+
Honors & Awards
IIT
Kanpur
Ph.D. CS
8.0
CGPA

Researcher. Engineer. Innovator.

I'm a PhD candidate in Computer Science at IIT Kanpur, where I explore the frontiers of Hardware Security, Secure Computation, and Quantum Computing. My academic journey started at IIIT Gwalior where I earned an Integrated B.Tech+M.Tech with a CGPA of 8.5.

Beyond research, I've contributed to industry as a backend developer and have taught at the university level — bridging the gap between theory and practice. I'm driven by a curiosity to understand how systems work, and how to make them work better and more securely.

My work spans machine learning, IoT security, network intrusion detection, and advanced cryptographic protocols — always with an eye towards real-world applicability.

🔒
Hardware Security
IoT security, cryptographic protocols, secure computation
🤖
Machine Learning
Neural networks, regression models, anomaly detection
💻
Systems Engineering
Backend development, distributed systems, databases
📚
Research & Teaching
3 publications, Assistant Professor, IEEE leadership

Education & Qualifications

Indian Institute of Technology (IIT) Kanpur
Ph.D. — Computer Science CGPA: 8.0
📍 Kanpur, India
Dec 2024 — Present
Courses: Hardware Security, Introduction to Machine Learning, Secure Computation, Cryptographic Techniques for Privacy Preserving, Quantum Computing
Indian Institute of Information Technology (IIIT) Gwalior
Integrated B.Tech + M.Tech — Information Technology CGPA: 8.5
📍 Gwalior, India
July 2018 — June 2023
Courses: Operating Systems, Data Structures, Analysis of Algorithms, Artificial Intelligence, Machine Learning, Networking, Databases
City Children's Academy
Higher Secondary — ISC 94.5%
📍 Kannauj, India
City Children's Academy
Matriculation — ISC 95%
📍 Kannauj, India

Skills & Technologies

🔨 Domain Knowledge
Hardware Security Network Security Data Structures & Algorithms Machine Learning DBMS OOPs Computer Networks Operating Systems IoT Interconnects
💻 Languages
Python C++ C Java SQL Verilog
⚙ Frameworks & Libraries
TensorFlow Keras Scikit-learn Matplotlib NLTK SpringBoot JWT
🔧 Tools & Platforms
GIT MySQL PostgreSQL MongoDB Vivado MATLAB/Octave LaTeX AWS GCP Linux Arduino Raspberry Pi

Work Experience

Sharda University
Assistant Professor
🏢 Offline
Jan 2024 — Dec 2024
  • Delivered lectures on Design and Analysis of Algorithms, Linear Programming, and Technical Writing & Communication
  • Served as FR (Faculty Representative) Coordinator for the department
  • Mentored and guided 8 B.Tech final year students through their capstone projects
Bizongo
SDE Intern — Java Backend Developer
🏠 Hybrid
Jan 2023 — Jul 2023
  • Built new APIs and led the backend deprecation process for legacy services
  • Implemented JWT-based authentication for pre-existing APIs
  • Resolved critical bugs in Java backend codebase, improving application robustness and reliability
Bytelearn Edtech Ltd.
SDE Intern
🌐 Remote
Jun 2022 — Sep 2022
  • Developed Python scripts to automate general mathematical expression solving
  • Fixed bugs in pre-implemented Python chatbot code, enhancing robustness and reliability
Creative Storm Ltd.
Technical Norman & Business Development Officer
🌐 Remote
May 2021 — Dec 2021
  • Managed business-related dealings and inter-company collaborations
  • Solved and explained complex DSA problems for candidates on the company portal

Featured Projects

01
Optimization of Repeater Size & Optimal Number of Repeaters in Interconnects
Optimized repeater size and placement in VLSI interconnects using genetic algorithms. Applied the best algorithm result to construct and train an Artificial Neural Network (ANN) for accurate prediction of optimal interconnect parameters.
Genetic Algorithms ANN VLSI Optimization
02
Intrusion Detection using Machine Learning
Built a comprehensive network intrusion detection system capable of distinguishing normal connections from malicious ones. Benchmarked and compared Linear Regression, Logistic Regression, Decision Trees, Random Forests, XGBoost, and LSTM across accuracy and sensitivity metrics.
ML LSTM XGBoost Random Forest Cybersecurity
03
ML Model for GNR Interconnects (Neural Networks)
Developed a machine learning model for Graphene Nanoribbon (GNR) interconnects. Addressed key performance and reliability challenges of conventional metallic interconnects by examining nanocarbon materials including CNT and graphene as alternatives.
Neural Networks Linear Regression GNR Nanoelectronics

Research Publications

📄
Deploying and Analyzing Classification Algorithms for Intrusion Detection
Research Paper
📄
Enhanced Hybrid Symmetric Cryptography for IoT Devices
Research Paper
📄
Perception Analysis of Travelers Regarding India's Medical and Spiritual Tourism
Research Paper

Honors & Awards

🏆
Best Paper Award at IEEE-IATMSI 2022 Conference
🌐
Global Rank 218 in CodeChef April Lunchtime
🏅
Advanced Twice to Nationals in Smart India Hackathon (MHRD)
🥇
3rd Position in IoT Challenge organised by IIT Bombay
🥈
1st Position at Junior AASF ICPC

Positions of Responsibility

Placement Representative at IIIT Gwalior
Organiser of IBSSC (IEEE Bombay Section Signature Conference) 2021
Chairperson at ABV-IIITM IEEE Student Branch Gwalior (Apr 2019 – Dec 2021)
Technical Member at Students Activities Committee, IEEE Bombay Section
Teacher at Student Gyan Movement — social initiative providing education to underprivileged students
Head at Nukkad Natak, dramatics event under cultural fest Aurora 2020

Get In Touch

I'm always open to discussing research collaborations, exciting projects, or opportunities in security and machine learning.

📚
GeeksForGeeks
himanshu2018iiitm