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Dr. S. Karthik

Associate Professor

Department of Electronics & Communication Engineering

Contact Information

Email : karthiks1@srmist.edu.in

Ph.D Degree –
Area or Subject – VLSI Systems For Simultaneous In Logic Simulation
University – Vels Institute of Science, Technology & Advanced Studies
Awarded Year – 2018

PG Degree –
Area or Subject – VLSI Design
University – Sathyabama Institute of Science and Technology
Awarded Year – 2005

UG Degree –
Area or Subject – Electrical and Electronics Engineering
University – Velammal Engineering College
Awarded Year – 2003

  • Scripting Languages for VLSI Design Automation
  • VLSI Testing and Testability
  • Analogue and Digital VLSI
  • Digital Logic Design
  • Microprocessors and Microcontrollers
  • Semiconductor Devices and Circuits
  • Computer Organisation and Architecture
  • Electronic Circuits
  • ASIC Design
  • Basic Electrical and Electronics Engineering

  • High-performance computing
  • VLSI
  • ASIC
  • FPGAs
  • GPUs
  • Machine Learning
  • Data Science

  • Karthik, S., Balaji, T. S., Balaji, S., & Rathinakumar, P. (2026). Electronic and structural dynamics of metal oxide nanostructures for gas detection. Chemical Physics Impact, 12.
  • Karthik, S., Maurya, S., K. P., Karthik, P. C., & Saranya, V. G. (2025). Hybrid compression-based routing strategies for enhanced energy efficiency in wireless sensor networks. Journal of Cloud Computing, 14(1).
  • Karthik, S., & Tamilarasi, R. (2025). Performance analysis of uniformly doped DG-JF-TFET with various NBG and WBG materials for mixed signal applications. Physica Scripta, 100(7).
  • Karthik, S., & Saranya, V. G. (2025). TDOA-based WSN localization with hybrid covariance matrix
    adaptive evolutionary strategy and gradient descent distance techniques. Alexandria Engineering
    Journal, 112.
  • Karthik, S., & Lakshmi Priya, K. (2025). Influence of polarization engineering in InₓAlᵧGaN₁₋ₓ₋ᵧ back-
    barrier on AlGaN coupled channel MOS-HEMT with HfO₂ gate dielectric for millimeter-wave
    applications. Frontiers in Materials, 12.
  • Karthik, S., & Tamilarasi, R. (2024). Design and investigation of Gaussian doped junction-free SMDG and TMDG-TFET for analog/RF applications. Engineering Research Express, 6(3).
  • Karthik, S., & Tamilarasi, R. (2024). Performance optimization of AlGaAs and AlₓGa₁₋ₓAs-based SM-TM-DG-JL-TFET for analog/RF applications. Physica Scripta, 99(7).
  • Sekhar, K., Priyadarsini, K., & Sekhar, P. K. (2024). A Contiguous Temporal Chebyshev Convolutional Optimized Network (CoC-TemNet) model for energy prediction in IoT-enabled smart city networks. IEEE Internet of Things Journal, 11(13), 23630–23643.
  • Sekhar, K., & Raja, T. (2024). Performance evaluation of GPVs in existing TFET and proposed DG-JL-TFET: Enhancing the RF performance through qualitative and quantitative approaches. Applied Physics A: Materials Science and Processing, 130(6).
  • Sekhar, K., & Raja, T. (2024). Comparative analysis and study of the performance of narrow bandgap and wide bandgap materials for the homogeneous structure of double-gate junctionless tunnel field effect
    transistor (DG-H-JL-TFET). AIP Conference Proceedings, 2966(1).
  • Sekhar, K., Gunasekar, S., & Karthik, P. (2024). A performance analysis of various compressive sensing techniques in IoT-based WSNs and their applications. AIP Conference Proceedings, 2966(1).
  • Karthik, S., & Saranya, V. G. (2024). Bio-inspired intelligent routing in WSN: Integrating Mayfly optimization and enhanced ant colony optimization for energy-efficient cluster formation and maintenance. CMES – Computer Modeling in Engineering and Sciences, 141(1), 127–150.
  • Karthik, S., Shirly Edward, A., & Tamilarasi, R. (2024). A survey based on FinFET breaking the Moore’s law barrier with future wireless communication systems. Proceedings of the 2024 3rd International
    Conference on Sentiment Analysis and Deep Learning (ICSADL 2024), 517–523.
  • Karthik, S., Rathina Kumar, P., Tamilarasi, R., & Balaji, T. S. (2024). A comprehensive review and comparative analysis of TFET and DG-JL-TFET. Proceedings of the 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation (ICONSTEM 2024).
  • Karthik, S., & Tamilarasi, R. (2024). Enhancing performance and versatility of DG-JL-TFET with A1N piezoelectric materials for high-power applications. 2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI 2024).
  • Karthik, S., & Tamilarasi, R. (2024). Analyze and optimize the performance of InGaN-based DG-JL-TFET through efficient design and investigation. International Conference on Distributed Computing and
    Optimization Techniques (ICDCOT 2024).
  • Karthik, S., & Tamilarasi, R. (2023). RF performance-based comprehensive review on homo and hetero structure of DG-JL-TFET. 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2023) Proceedings, 34–40.
  • Karthik, S., & Saranya, V. G. (2023). A comprehensive study on security attacks and its defense techniques in wireless sensor networks. Proceedings of the 4th International Conference on Smart Electronics and
    Communication (ICOSEC 2023), 519–527.
  • Karthik, S., & Tamilarasi, R. (2023). Machine learning-assisted device modeling: A survey. Proceedings of the 5th International Conference on Inventive Research in Computing Applications (ICIRCA 2023), 833–839.
  • Karthik, S., & Balaji, S. (2023). Deep learning-based energy consumption prediction on internet of things environment. Intelligent Automation and Soft Computing, 37(1), 727–743.
  • Karthik, S., & Balaji, S. (2023). Energy prediction in IoT systems using machine learning models. Computers, Materials and Continua, 75(1), 443–459.
  • Karthik, S., & Balaji, S. (2023). Comparative study of various machine learning and deep learning techniques for energy prediction and consumption using IoT modules. Cognitive Science and Technology, 99–105.
  • Karthik, S., & Balaji, S. (2023). Multi-regressions-based traditional machine learning approach for energy forecasting system. Cognitive Science and Technology, 91–97.
  • Karthik, S., Priyadarsini, K., Poovannan, E., & Balaji, S. (2023). Emulating SoCs for accelerating pre-Si validation. Cognitive Science and Technology, 107–112.
  • Karthik, S., & Poovannan, E. (2023). Power prediction of VLSI circuits using machine learning. Computers, Materials and Continua, 74(1), 2161–2177.
  • Karthik, S., Priyadarsini, K., & Saranya, V. G. (2022). A brief survey on cluster-based energy-efficient routing protocols in IoT-based wireless sensor networks. International Journal on Recent and Innovation
    Trends in Computing and Communication, 10, 247–254.
  • Karthik, S., Priyadarsini, K., & Baid, T. (2022). The impact of blockchain on cloud and AI. The Convergence of Artificial Intelligence and Blockchain Technologies: Challenges and Opportunities, 93-113.
  • Karthik, S., & Poovannan, E. (2022). Pre-synthesis and post-synthesis power estimation of VLSI circuits using machine learning approach. Applied Artificial Intelligence, 36(1).
  • Karthik, S., Bhadoria, R. S., Lee, J. G., Chaurasia, B. K., & Ashokkumar, S. (2022). Prognostic Kalman filter-based Bayesian learning model for data accuracy prediction. Computers, Materials and Continua, 72(1), 243–259.
  • Sekhar, K., & Karthik, P. (2021). Resource scheduling approach in cloud testing as a service using deep reinforcement learning algorithms. CAAI Transactions on Intelligence Technology, 6(2), 147–154.
  • Karthik, S., Priyadarsini, K., & Hemakesavulu, O. (2021). Towards effective time series classification of multi-class imbalanced learning. Proceedings – International Conference on Artificial Intelligence and
    Smart Systems (ICAIS 2021), 1576–1582.
  • Karthik, S., & Priyadarsini, K. (2021). An overview on IoT data analytics with a survey on CNN accelerator architecture. A Closer Look at Big Data Analytics, 37–67.
  • Karthik, S., Priyadarsini, K., Malathi, K., & Rao, M. V. V. R. (2021). Impact of COVID-19 on IIoT. Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance, 321–348.
  • Karthik, S., Ajin Roch, A., & Arthi, R. (2021). Dynamic programmable clock frequency using machine learning algorithms to reduce power consumption in wearables. Studies in Computational Intelligence, 903,337–347.
  • Kirtania, S. G., Riheen, M. A., Kim, S. U., Wisniewska, A., & Sekhar, P.K. (2020). Inkjet printing on a new flexible ceramic substrate for Internet of Things (IoT) applications. Micromachines, 11(9).
  • Karthik, S., Malathi, K., & Priyadarsini, K. (2020). TaaS environment-task scheduling algorithms for cloud computing. International Journal of Advanced Science and Technology, 29(3), 5598–5604.
  • Karthik, S., & Balaji, S. (2020). Energy prediction system using Internet of Things. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS 2020), 1131–1135.
  • Kirtania, S. G., Elger, A. W., Hasan, M. R., Karacolak, T., & Sekhar, P. K. (2020). Flexible antennas: A review. Micromachines, 11(9).
  • Karthik, S., & Priyadarsini, K. (2019). Potential use of RTL co-simulation. International Journal of Innovative Technology and Exploring Engineering, 8(12), 586–588.
  • Karthik, S., & Priyadarsini, K. (2019). Iris authentication for TaaS on cloud. International Journal of Innovative Technology and Exploring Engineering, 8(12), 2810–2813.
  • Karthik, S., Priyadarsini, K., & Suhas, S. (2019). Area-efficient LFSR-based ADC in 45nm technology using Verilog A. International Journal of Innovative Technology and Exploring Engineering, 8(12), 2460–2463.
  • Karthik, S., Priyadarsini, K., & Jeanshilpa, V. (2018). VLSI systems for simultaneous in-logic simulation. Proceedings of the IEEE International Conference on Recent Trends in Electrical, Control and Communication (RTECC 2018), 23–27.
  • Karthik, S., & Saravana Kumar, S. (2018). Profiling-based functional verification on a heterogeneous architecture. Journal of Engineering and Applied Sciences, 13(7), 1596–1600.
  • Karthik, S., Balaji, S., & Balaji, T. S. (2018). A review on various sensors used in IoT for real-time applications. Journal of Engineering and Applied Sciences, 13(7), 1601–1605.
  • Karthik, S., Balaji, S., & Babu, A. D. (2017). Space vector PWM generation technique using FPGA for three-phase voltage source inverter. Journal of Advanced Research in Dynamical and Control Systems, 9(Special Issue 18), 1874–1885.
  • Karthik, S., Srividya, N., Swetha, L., & Balaji, S. (2016). E-VLSI lab using Raspberry Pi. International Journal of Control Theory and Applications, 9(15), 7105–7110.
  • Karthik, S., Priyadarsini, K., & Saravana Kumar, S. (2015). Factors affecting the cloud authorization model in cloud computing platforms. International Journal of Applied Engineering Research, 10(23),
    43529–43532.
  • Karthik, S., Karthikeyan, R., Prasanna Vishal, T. R., & Vignesh, S. (2015). Snitch: Design and development of a mobile robot for surveillance and reconnaissance. ICIIECS 2015 – 2015 IEEE International Conference on Innovations in Information, Embedded and Communication Systems.
  • Karthik, S., Saravana Kumar, S., Murali, G., & Gokulnath. (2015). Parallel HDL simulation using heterogeneous FPGA architectures. International Journal of Applied Engineering Research, 10(20), 16853–16856.
  • Karthik, S., Saravana Kumar, S., & Priyadarsini, K. (2015). Comparative study of homogeneous and heterogeneous processors in FPGA for functional verification. International Journal of Applied Engineering Research, 10(17), 38358–38361.
  • Karthik, S., Priyadarsini, K., Saravana Kumar, S., & Krishnan, A. (2015). Secure dynamic multidimensional cloud confidence for public and private networks. International Journal of Applied Engineering Research, 10(20), 16046–16049.
  • Karthik, S., & Priyadarsini, K. (2015). Parallel HDL simulation using heterogeneous FPGA architectures. International Journal of Applied Engineering Research, 10(20), 18219–18222.

  • Karthik, S., & Priya, K. L. (2025). Optimizing HEMTs: Innovations in field plate design for superior performance and reliability. In Proceedings of ICISS 2025.
  • Karthik, S., Babu, A. D., Swetha, S., & Aadhithyan, S. K. (2025). Optimized CMOS device architecture for ultra-low power integrated circuits. In Lecture Notes in Networks and Systems (Vol. 1306).
  • Karthik, S., Lakshmi Priya, K., & Sandeep, V. (2025). Comparative analysis of recessed-gate AlGaN/GaN HEMTs with GaN and β-Ga₂O₃ buffer layers. In Proceedings of ICDCECE 2025.
  • Karthik, S., Priyadarsini, K., Jeba Sonia, J., Anbazhagu, U. V., & Saranya, V. G. (2025). Smart in-home health monitoring system using IoT. In AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0.
  • Karthik, S., & Tamilarasi, R. (2024). Optimizing Si-based DG-JL-TFET performance through tunable work function engineering. In Proceedings of EDKCON 2024.
  • Karthik, S., & Priya, K. L. (2024). Advancements in tunnel field-effect transistor structures for biosensing applications. In Proceedings of ICOSEC 2024.
  • Karthik, S., & Tamilarasi, R. (2024). Enhancing performance of DG-JL-TFET with AlN piezoelectric materials. In Proceedings of RAEEUCCI 2024.
  • Karthik, S., Shirly Edward, A., & Tamilarasi, R. (2024). FinFETs and Moore’s law: A survey. In Proceedings of ICSADL 2024.
  • Karthik, S., & Saranya, V. G. (2024). Bio-inspired intelligent routing in WSN. In Proceedings of ICOSEC 2023.
  • Karthik, S., Rathina Kumar, P., Tamilarasi, R., & Balaji, T. S. (2024). Comparative analysis of TFET and DG-JL-TFET. In Proceedings of ICONSTEM 2024.
  • Karthik, S., Kumar, S., Srilakshmi, S., & Dharun Viginesh, P. (2024). Performance analysis of
    Floyd–Warshall algorithm using Intel oneAPI. In Proceedings of ICECA 2024.
  • Karthik, S., & Tamilarasi, R. (2024). Design of Ge/GaAs/Si DG-JL-TFET for ultra-low power. In Proceedings of ICCSC 2024.
  • Karthik, S., & Tamilarasi, R. (2024). InGaN-based DG-JL-TFET performance optimization. In Proceedings of ICDDOT 2024.
  • Karthik, S., Priyadarsini, K., & Tamilarasi, R. (2024). Deep learning for power challenges in smart cities. In Proceedings of ICECA 2024.
  • Priyadarsini, K., Karthik, S., & Tamilarasi, R. (2024, November 6-8). Empowering Tomorrow\u2019s Cities: Navigating Power Challenges through Deep Learning Solutions. International Conference on Electronics, Communication and Aerospace Technology (ICECA 2024). RVS Technical Campus, Coimbatore, India.
  • Kumar, S., Karthik, S., Srilakshmi, S., & Viginesh, D. P. (2024, November 6-8). Performance Analysis of Floyd-Warshall Algorithm: Sequential and Parallel Execution Using Intel oneAPI. International Conference on Electronics, Communication and Aerospace Technology (ICECA 2024). RVS Technical Campus, Coimbatore, India.
  • Lakshmi Priya, K., & Karthik, S. (2024, September 18-20). Advancements in Tunnel Field-Effect Transistor Structures for Biosensing Applications: A Comprehensive Survey. 5th International Conference on Smart Electronics and Communication (ICOSEC 2024). Kongunadu College of Engineering and Technology, Erode, Tamil Nadu.
  • Anila, A., Prasad, A., & Karthik, S. (2024, May 3). Cardiovascular Stress Detection Using Machine Learning. ACE International Conference on Applied Science Engineering Technology and Management (AICASETM 2024). Alpha College of Engineering, Chennai, Tamil Nadu.
  • Kumar, R. P., Tamilarasi, R., Balaji, T. S., & Karthik, S. (2024, May 4-5). A Comprehensive Review and Comparative Analysis of TFET and DG-JL-TFET. International Conference on Science Technology Engineering and Management (ICONSTEM 2024). Jeppiaar Engineering College, Chennai, Tamil Nadu.
  • Anila, A., Prasad, A., & Karthik, S. (2024, April 27-28). Cardiovascular Stress Detection Using Machine Learning. International Conference on Science and Innovative Engineering (ICSIE 2024). Prince Dr. K. Vasudevan College of Engineering and Technology, Chennai, Tamil Nadu.
  • Tamilarasi, R., & Karthik, S. (2024, March 15-16). Analyze and Optimize the Performance of InGaN-based DG-JL-TFET through Efficient Design and Investigation. International Conference on Distributed Computing and Optimization Techniques (ICTCOT 2024). SJB Institute of Technology, Bangalore, Karnataka.
  • Tamilarasi, R., & Karthik, S. (2023, November 22-24). RF Performance Based Comprehensive Review on Homo and Hetero Structure of DG-JL-TFET. 7th International Conference on Electronics, Communications and Aerospace Technology (ICECA 2023). RVS College of Engineering, Coimbatore, Tamil Nadu.
  • Tamilarasi, R., Karthik, S., & Edward, S. (2023, November 14-December 15). A Survey Based on Breaking the Moore’s Law Barriers with Future Wireless Communication Systems. 5th International Conference on Computing Networks, Big Data, and IoT (ICCBI 2023). CARE College of Engineering, Trichy, Tamil Nadu.
  • Saranya, V. G., & Karthik, S. (2023, October 20-22). Comprehensive Study on Security Attacks and Its Defense Techniques in Wireless Sensor Networks. 4th International Conference on Smart Electronics and Communication (ICOSEC 2023). Kongunadu College of Engineering and Technology, Trichy, Tamil Nadu.
  • Tamilarasi, R., & Karthik, S. (2023, August 3-5). Machine Learning Assisted Device Modelling: A Survey. ICIRCA 2023. RVS College of Engineering, Coimbatore, Tamil Nadu.
  • Balaji, S., & Karthik, S. (2020, March 7). ML-Based Energy Prediction System Using Internet of Things. 5th International Conference on Smart Electronics and Communication (ICOSEC 2020). IEEE, India.
  • Balaji, S., & Karthik, S. (2020, February 1). Energy Prediction System Using Internet of Things. National Conference (ICIOT 2020). SRM IST – KTR, Chennai, Tamil Nadu.

  • Anitha, R., Aniruth Ramanujam, K., Ahamed, A., Mothish Kumar, A., Jean Shilpa, V., Anusooya, S.,
    Aadhil Ahamed Meeran, M., Magesh Mani, M., & Karthik, S. (2025). Offline voice-activated chessboard system for individuals with congenital limb amputations (Indian Patent Application No. 202541092982; published October 24, 2025).
  • Karthik, S., Priyadarsini, K., & Jeba Sonia, J. (2025). A method to detect cardiac arrhythmias using low- latency FPGA-accelerated hybrid deep learning models (Indian Patent Application No. 202541001102; published January 10, 2025).
  • Karthik, S., Tamilarasi, R., Priyadarsini, K., & Jeba Sonia. (2024, April 15). TRI-MATERIAL STRUCTURE OF DOUBLE GATE JUNCTIONLESS TUNNELING FIELD EFFECT TRANSISTOR (DG-JL-TFET) WITH EXTENDED DRAIN REGION (Application No. 202441030342 published September 27, 2024).).
  • Tamilarasi, R., Poornima, S., Susandhika, M., Shirly Edward, A., Karthik, S., & Priyadarsini, K. (2024, May 1). HIGH-PERFORMANCE DM-DG-JL-TFET FOR ENABLING EFFICIENT ENERGY HARVESTING APPLICATIONS (Application No. 202441034507A).
  • Karthik, S., Tamilarasi, R., Priyadarsini, K., T. S. Balaji, S. Balaji, Rathinakumar, P., Kavitha, V. P., & Jeba Sonia. (2023, August 2). TRI-MATERIAL BASED STRUCTURE OF DOUBLE GATE JUNCTIONLESS TFET (TMDG-JL-TFET) (Application No. 202341051824).
  • Tamilarasi, R., Poornima, S., Susandhika, M., Shirly Edward, A., Karthik, S., & Priyadarsini, K. (n.d.).
    High-performance DM-DG-JL-TFET for enabling efficient energy harvesting applications (Indian Patent
    Application; IPC: H02N0002180000; H04W0004700000; H04L0067120000; G06Q0010060000;
    H03M0007300000).
  • Priyadarsini, K., Poovannan, E., Karthik, S., Balaji, S., Rathinakumar, P., Jeba Sonia, J., Anbazhagu, U. V.,
    & Vijayalakshmi, K. (2022). Method for utilizing machine learning for power prediction in VLSI circuits
    (Indian Patent Application No. 202241061426; filed October 28, 2022).

Book Chapter :

  • Karthik, S., Priyadarsini, K., Anitha, R., Jeba Sonia, J., & Charanjeet, K. (2025). Architecture, security, and privacy for blockchain using enabling technologies. In Blockchain and IoT: Foundations, Applications, and Case Studies.
  • Karthik, S., Priyadarsini, K., Jeba Sonia, J., Anbazhagu, U. V., & Saranya, V. G. (2025). Smart in-home health monitoring system using IoT: Architecture and enhancements. In AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0.
  • Karthik, S., Priyadarsini, K., Jeba Sonia, J., Karthik, P. C., & Saranya, V. G. (2024). Health monitoring system in-home using IoT technology: Model and improvement. In Responsible AI for Digital Health and Medical Analytics.
  • Karthik, S., Priyadarsini, K., Jeba Sonia, J., Anbazhagu, U. V., & Saranya, V. G. (2024). An IoT-based structure for development management using radio frequency identification system. In Responsible AI for Digital Health and Medical Analytics.
  • Karthik, S., Priyadarsini, K., & Baid, T. (2022). The impact of blockchain on cloud and AI. In Convergence of Artificial Intelligence and Blockchain Technologies: Challenges and Opportunities.
  • Karthik, S., Ajin Roch, A., & Arthi, R. (2021). Dynamic programmable clock frequency using machine learning algorithms to reduce power consumption in wearables. In Studies in Computational Intelligence (Vol. 903).
  • Karthik, S., Priyadarsini, K., Malathi, K., & Rao, M. V. V. R. (2021). Impact of COVID-19 on industrial Internet of Things. In Industrial Internet of Things: Intelligent Analytics for Predictive Maintenance.
  • Karthik, S., & Priyadarsini, K. (2021). An overview on IoT data analytics with a survey on CNN accelerator architecture. In A Closer Look at Big Data Analytics.

Books Published :

  • Jeanshilpa, V., Anusooya, D., Karthik, S., & Jagannadha Naidu, K. (2024, June). VLSI Chip Design. Scientific International Publishers.

  • Faculty development program on secure and intelligent system on chips. National-level faculty development programme conducted online from November 30 to December 5, 2025, organized by the
    Department of Electronics, Cochin University of Science and Technology, sponsored by AICTE–ATAL
    Academy.
  • Two-day hands-on workshop on digital and analog VLSI design using Cadence EDA tools (Coordinator).
    Department event conducted from July 21–22, 2025, for students.
  • One-day hands-on workshop on digital and analog VLSI design using Cadence EDA tools (Coordinator).
    Department event conducted on July 31, 2025, for students.
  • FDP on advanced power electronics and intelligent control for sustainable electric mobility and renewable energy systems. National-level faculty development programme conducted online from June 4–8, 2025, organized by Sri Sai Ram Institute of Technology, sponsored by Sri Sai Ram Institute of Technology.
  • Internship on semiconductor device modelling (Coordinator). Department event conducted from
    January 20 to February 3, 2025, for students.
  • C2S awareness programme (Coordinator). Department event conducted on January 24, 2025, for
    students, with 232 participants.
  • Workshop on Synopsys TCAD (Coordinator). Department event conducted on October 19, 2024, for
    students, research scholars, and teaching staff.
  • Workshop on VLSI verification (Convenor). Department event conducted on August 28, 2024, for
    students.
  • FDP on device simulation using TCAD (Convenor). Department event conducted from August 9–10,
    2024, for research scholars and teaching staff.
  • Embedded IoT seminar (Convenor). Department event conducted on August 2, 2024, for students.
  • Online certificate course on Java programming (Coordinator). Department event conducted from
    August 5–7, 2024, for students.
  • FDP on device simulation using TCAD (Convenor). Continuing education programme conducted from
    August 9–10, 2024, sponsored externally, with 16 participants.
  • International conference on research in electronics and communication techniques (Co-Convenor).
    Conference conducted from December 20–21, 2024, sponsored by SRM Institute of Science and Technology, with 106 participants.
  • Organized FDP on Synopsys TCAD -19/10/2024
  • Organized Abhigyan Symposium on 22nd & 23rd , September 2024
  • Online Certificate course on JAVA Programming- 05/08/2024- 07/08/2024
  • FDP on high performance computing and its applications. National-level faculty development programme conducted offline from August 4–9, 2024, organized by SRM Institute of Science and Technology, Ramapuram Part Campus, sponsored by AICTE–ATAL Academy.
  • Organized seminar on Embedded IOT -02/08/2024
  • Organized Chip Confluence -02/05/2024
  • Organized workshop on A DEEP DIVE INTO EMBEDDED SYSTEMS AND IOT-8/04/2024
  • Organized seminar on “Low Power Techniques for VLSI Circuits” – 03/10/2023
  • Organized workshop on “Computer vision workshop” – 22.09.2023
  • Organized workshop on “Deep dive into generative AI” – 04/09/2023
  • Organized Workshop on “AI NEXUS” – 14/09/2023
  • Organized webinar on “LITHOGRAPHY” – 21/07/2023
  • Organized ICREACT on 3rd & 4th May 2023
  • Organized Abhigyan Symposium on 22nd & 23rd February 2023
  • Organized seminar on “Job Aspects in VLSI Design”- 31/01/2023
  • Organized STTP on “Connecting People to Semiconductor Industry” – (5/12/2022 to 17/12/2022)
  • Organized ICREACT on 2nd & 3rd May 2022
  • Conducted webinar on “Untold Opportunities in VLSI Domain” – 12/02/2022
  • Conducted seminar on “Career Prospects in Electronics and Communication Engineering” on 27-01-2022.
  • Conducted FDP on GUI Based FPGA Programming from 20/12/2021to 24/12/2021
  • Organized Abhigyan Symposium on 8th & 9th October 2021
  • Organized ICREACT on 3rd & 4th May 2021
  • Organized Abhigyan Symposium on 5th March 2021

ICREACT

ABHIGYAN

  • Karthik, S. (2025). Data-driven AI for dynamic service ecosystems: From intent mining to proactive network assurance (Invited tutorial). Tutorial proposal accepted for presentation at the 23rd Australasian Data Science and Machine Learning Conference (AusDM 2025), hosted in Brisbane, Australia, from November 26–28, 2025, and organized by the University of Southern Queensland.
  • Saveetha Engineering College , 25th Oct, 2024 on Topic VLSI Design – Untold Opportunities
  • JNN Group of Engineering, July 8, 2021, on Topic “ASIC Design”
  • SRMIST, Vadapalani, July 11, 2020, on the topic “Data Science”

NPTEL

  • Hardware Modeling using Verilog
  • Digital VLSI Testing
  • Introduction to IOT
  • Introduction To Industry 4.0 And Industrial Internet Of Things
  • Embedded System Design with ARM
  • Cloud Computing and Distributed Systems
  • Multi-Core Computer Architecture – Storage and Interconnects
  • Introduction to Machine Learning (Tamil)
  • CMOS Digital VLSI Design
  • Python for Data Science
  • Synthesis of Digital Systems
  • C Programming and Assembly Language

Other Platforms

  • Introduction to ML
  • Python Data Structures
  • IoT (Internet of Things)
  • Wireless & Cloud computing: Emerging Technologies
  • Introduction to Artificial Intelligence (AI)
  • An Introduction to Programming the IOT
  • Python Data Structures
  • Nanotechnology

  • SRMIST, Vadapalani, Chennai, Tamil Nadu, India | July 2011 – Present | Associate Professor
  • VIT University, Vellore, Tamil Nadu, India | June 2006 – June 2011 | Assistant Professor

  • Karthik, S. (2025). Certificate of appreciation – College SPOC, Smart India Hackathon 2025. Ministry of
    Education (MoE), Government of India, through AICTE & MoE’s Innovation Cell. Awarded December 8, 2025.
  • Karthik, S. (2025). ITU FG-AINN Build-A-Thon 3.0 (Joint participation). International Telecommunication Union. Awarded October 8, 2025.
  • SRM SERI Seed Grant of Rs.3,70,000 to carry out project on Accelerating Deep learning algorithms.
  • Travel Grant to attend FAP at NTU, USA
  • Faculty Industry Immersion Program at Tessolve Semiconductors, Techindia
  • Travel Grant to Attend FAP at NTU, USA
  • Faculty Industry Immersion Programme at Tessolve Semiconductors
  • Fellowship award to attend the IEEE ITC Test Conference 2022
  • Fellowship award to attend the IEEE ITC Test Conference 2021
  • Fellowship award to attend the IEEE ITC Test Conference 2020
  • Dr. Paarivendhar Research Colloquium 2021 award for the paper “Energy Harvesting in IOT Devices: A Survey”
  • Dr. Paarivendhar Research Colloquium 2019 award for the paper “Implementation of ML Algorithm for Dynamic Clocking on Embedded Devices”
  • Best Research Award for the Year 2019, 2020, or 2021 by SRM IST
  • Silver Medal for the SWAYAM course “C Programming and Assembly Language”
  • Excellent Teacher Award for the Academic Year 2012-2013
  • Selective Innovative Project Award by SRMIST, Vadapalani
  • Excellent award for the Quality Circle presentation at the Quality Circle Forum of India, Chennai Circle
  • Top 10 and Top 20 in the Cadence Design Contest 2009

  • IEEE
  • QCFI

Consultancy Work :

  • Karthik, S. (2024–2025). Advanced signal processing for health monitoring (Consultancy project).
    Sponsored by Techindia Infoway Pvt. Ltd., Chennai, India. Revenue generated: ₹118,000.
    Consultancy period: July 15, 2024 – June 15, 2025.
  • Karthik, S. (2025–2026). Grass Tree Group (GTG) AI development project (Consultancy project). Sponsored by Grass Tree Group Pty Ltd, Brisbane, Australia. Revenue generated: ₹1,20,000.
    Consultancy period: October 2, 2025 – October 2, 2026.

Sponsored Research Project

  • Karthik, S. (2023–2025). Accelerating deep learning algorithms: Unleashing the power of FPGA acceleration (Sponsored research project). SRM Institute of Science and Technology (SRMIST). Sanctioned amount: ₹370,000. Project duration: 24 months (November 18, 2023 – August 23, 2025). Role: Principal Co-Investigator.