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Suraj Kumar Pandey

📞 +91-8377016608 | ✉️ pandey.suraj3@gmail.com / suraj18a@iitg.ac.in

🔗 https://surajkumarpandey.github.io

Research Interests

Artificial Intelligence, Generative Machine Learning, Neuroevolution, Cyber-Physical Systems, Bio-inspired Algorithms, TinyML, IoT, Embodied Intelligence, Domain Adaptation, Chaotic Systems, Computer Vision, NLP, LLMs, Agentic AI

Education

Ph.D. in Computer Science and Engineering

Indian Institute of Technology Guwahati (2018–2024)

Thesis Title: Bio-inspired Learning Strategies for Resource-Constrained Cyber-Physical Systems

Supervisor: Prof. Shivashankar B. Nair

B.Tech. – Computer Science and Engineering

College of Technology, G.B. Pant University of Agriculture & Technology (2010–2014)

Research Statement

My research focuses on designing efficient and adaptive Artificial Intelligence systems for resource-constrained environments, particularly in Cyber-Physical Systems (CPS) and edge devices. I work at the intersection of bio-inspired algorithms, embodied intelligence, and real-world learning, with emphasis on handling noisy, non-stationary data through techniques such as neuroevolution, domain adaptation, and continual learning.

Future Research Directions

  • Continual and lifelong learning for edge AI systems
  • Bio-inspired and neuroevolutionary methods for adaptive intelligence
  • Efficient deployment of deep learning and LLMs on resource-constrained devices
  • Domain adaptation and sim-to-real transfer in robotics
  • Embodied AI for autonomous systems in real-world CPS environments

Professional / Research Experience

Data Scientist, NextGen Invent Corporation (20.09.2023 – Present)

Research Scholar, Robotics Lab, IIT Guwahati (15.07.2018 – 05.12.2024)

Officer (IT), Security Printing and Minting Corporation of India Ltd. (15.12.2016 – 08.07.2018)

Young Professional II, ICAR-Indian Agricultural Statistics Research Institute (24.08.2015 – 31.08.2016)

Publications

Journals

Pandey, S. K., & Nair, S. B. (2025). RoboDA: A Dataset for Domain Adaptation in Robot Vision. IETE Technical Review, 1–14. https://doi.org/10.1080/02564602.2025.2485900

Suraj Kumar Pandey, Shivashankar B. Nair. GADANN: A Virtual-to-Real knowledge transfer and adaptation method for edge devices. Internet of Things, Volume 32, 2025, 101615. https://doi.org/10.1016/j.iot.2025.101615

Suraj Pandey and Shivashankar Nair. (2025). ChaoticImmuneNet: A Chaos-driven Immunity inspired Neural Network paradigm for Embodied Intelligence in Resource-Constrained Devices. J. Emerg. Technol. Comput. Syst. Just Accepted (August 2025). https://doi.org/10.1145/3764930

Conferences

S. K. Pandey, Sonia, T. Semwal and S. B. Nair. Smart Patch: An IoT based Anti Child-Trafficking Solution. 2020 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS), Indonesia, 2020. DOI: 10.1109/IoTaIS50849.2021.9359702

S. K. Pandey and S. B. Nair. Immuno-inspired Augmentation of Siamese Neural Networks for Multi-Class Classification. IVCNZ 2022 Image and Vision Computing New Zealand, 24-25 November 2022. DOI: 10.1007/978-3-031-25825-1_35 (CORE2021 Rank: B)

S. K. Pandey and S. B. Nair. Enhancing Siamese Neural Networks for Multiclass Classification: An Immuno-inspired approach. GECCO 2023, Lisbon, Portugal, July 15-19. DOI: https://doi.org/10.1145/3583133.3595827 (CORE2023 Rank: A)

S. K. Pandey and S. B. Nair. (2024). Onboard Class Incremental Learning for Resource-Constrained scenarios using Genetic Algorithm and TinyML. GECCO '24 Companion. DOI: https://doi.org/10.1145/3638530.3654392 (CORE2023 Rank: A)

S. K. Pandey. Neuroevolution of a Multi-Generator GAN. AAAI-24, Vancouver, Canada, February 20-27, 2024. DOI: https://doi.org/10.1609/aaai.v38i21.30493 (CORE2023 Rank: A*)

Mohan, K., Pandey, S.K. (2025). License Plate Recognition System. ICPR 2024, LNCS 15320. https://doi.org/10.1007/978-3-031-78498-9_16 (CORE2023 Rank: B)

H. Bijwe, S. K. Pandey and S. B. Nair. Decentralized Multi-Robot Foraging using a Cloning Controller (Pre review)

Reviewer Experience

Journals

  • International Journal of Intelligent Robotics and Applications (2025)
  • IETE Technical Review (2025)

Conferences

  • International Conference on Pattern Recognition (ICPR) 2024
  • International Conference on Pattern Recognition (ICPR) 2026

Projects

Industrial Projects

  • Natural Language Query (NLQ) app – Agent-based MongoDB system with API and visualization
  • RAG-based automated survey generator – Flask + Groq + LLaMA pipeline
  • User review analysis using LLMs – LLaMA3 based pipeline with privacy-preserving setup
  • LLM chatbot – structured & unstructured data pipelines
  • Transformer-based recommender system – full stack implementation
  • LLM-based cold email generator – Jurassic-2 based
  • Multimodal chatbot – image + text embeddings

Government / Enterprise Projects

  • PAARDAKSH ERP system (SPMCIL)
  • SPMCIL Recruitment Portal (Java-based)
  • ICAR Research Data Repository (global data system)

Academic / Research Projects

  • Multi-Agent System Interface (Webots)
  • IoT-based intrusion detection system (MQTT)
  • Gait mapping using sensor data
  • Speech-based robot control (HMM)
  • RBM-based recommender system

Open Source

  • Tartarus Multi-Agent System contributions

Personal

  • Android Gaming App (4000+ users, Toycathon 2021 finalist, presented before PM Narendra Modi)

Technical Skills

Programming Languages

Python, C, C++, Java, MicroPython

Robotics Platforms

Webots, Firebird V, ROS

ML/AI Frameworks

TensorFlow, TensorFlow Lite, Streamlit, Chainlit, Langchain, LangGraph

Web Technologies

HTML, CSS, JavaScript, jQuery

Database Management

MySQL, MongoDB

Hardware

Arduino, Raspberry Pi, ESP8266, ESP32, Lego Mindstorms NXT

Operating Systems

Windows, Ubuntu, Raspbian

Miscellaneous

TinyML, MQTT, Octave, Drupal, Joomla!, Android programming, SAP-ERP

Teaching & Academic Contributions

Teaching Assistant: Mobile Robotics, Smart Systems Laboratory, Peripherals & Interfacing Lab, Introduction To Computing, Computing Laboratory (IIT Guwahati)

Course Delivery: Webots simulator course to PhD and Graduate students

Artificial Intelligence Course: Conducted AI course for NIPER students on Artificial Intelligence in Medical Devices (07.2021–08.2021)

Invited Talks / Workshops

TEQIP-III Workshop: Recent Trends in Embedded System for IoT and Mechatronics (NIT Arunachal Pradesh), 24.09.2019–28.09.2019

ATAL Workshop: IoT and Cyber Security (IIT Guwahati), 19.08.2019–23.08.2019

TEQIP FDP: Mechanical Engineering Department (IIT Guwahati), 03.2019

AI in Medical Devices Course: NIPER, 07.2021–08.2021

Certifications

  • Speech Processing (IIT Guwahati)
  • Artificial Intelligence (IIT Guwahati)
  • Mobile Robotics (IIT Guwahati)
  • Advanced Topics in AI (IIT Guwahati)
  • Machine Learning (Coursera)
  • Neural Networks and Deep Learning (Coursera)
  • Improving Deep Neural Networks (Coursera)
  • Structuring ML Projects (Coursera)
  • Dynamical Systems and Chaos
  • Complexity Explorer Courses
  • CNN (Coursera)
  • Generative AI (IBM)
  • AI Agents (IBM)

Positions of Responsibility

  • Officer (IT), SPMCIL
  • President, SPIC MACAY (2013–14)

Achievements

  • Scholarship for AAAI-24 presentation
  • Volunteer AAAI-24
  • GECCO 2024 Scholarship
  • Google Research Week (2022)
  • NatFoE Symposium nomination
  • NETRA app presentation at international fest
  • Gartner Security Summit delegate
  • Prime Minister's Scholarship (2010–2014)
  • Merit scholarship (10+2)
  • Certificate of Honor (Vice Chancellor)

Memberships

  • AAAI: Student member
  • IEEE: Ex-Graduate Student member

Extracurriculars & Links

Blog: http://surrealsuraj.blogspot.in/

Medium: https://surajkpandey.medium.com/

LinkedIn: https://in.linkedin.com/in/surajkumarpandey

Declaration: I hereby declare that the aforementioned information is true to the best of my knowledge.

Suraj Kumar Pandey
25.03.2026

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