Dr. Chandrajit Pal

Professional Profile

Accomplished Senior Research Officer and AI Engineer with extensive experience across top-tier academic institutions and the semiconductor industry. Specialist in hardware-software co-design, resource-constrained AI optimisation, and building resilient and sustainable computing platforms.

Work Experience

Patents, Research Grants, and Publications

• Patents:
  1. Systems and methods for a lightweight pattern-aware generative adversarial network.
     Country: US Patent | Status: Granted | Patent No: 12423957 | Applicant: Ceremorphic Technologies Pvt Ltd.
  2. Network based side channel attack (SCA) detection.
     Country: US Patent | Status: Granted | Patent No: 12613960 | Applicant: Ceremorphic Technologies Pvt Ltd.
  3. A system and method for analyzing videos of application or function for feature identification of the videos and related application or function.
     Country: Indian Patent | Status: Granted | Patent No: 472279 | Applicant: University of Calcutta
  4. Edge Device for Executing a Lightweight Pattern-Aware generative Adversarial Network.
     Country: US Patent | Status: Filed & Published | App No: 17/519,589 | Applicant: Ceremorphic Technologies Pvt Ltd.
  5. Computing device.
     Country: Japanese Patent | Status: Filed | App No: 2024-139125 | Applicant: IIT Hyderabad & Suzuki Motor Corporation
  6. A method for 360° video stitching using single-shot homography for object detection and real-time tracking.
     Country: Indian Patent | Status: Filed & Published | App No: 202541053699 | Applicant: IIT Hyderabad
  7. Method and system of selective binarization of deep neural networks.
     Country: Indian Patent | Status: Filed & Published | App No: 202541027676 | Applicant: IIT Hyderabad
• Grants:
  1. Principal Investigator for a 1.9M INR grant for biomedical and embedded system design. hosted by IIT Hyderabad, India. Funding body: SERB, Govt of India (Grant No. SERB/F/8478/2020-2021).
  2. Functional connectivity analysis from electroencephalogram recording. Hosted by University of Southampton, UK. Funding body: British Council UK and SERB, DST Govt of India, (£ 9,826), (Grant No. DST/INSPIRE/NBHF/2015/11).
• Publications: Published extensively in high-impact IEEE Transactions like TSUSC, TCE, TETCI, TAI, IoT, Elsevier BSPC, CMPB and Springer Nature journals.
  🔗 Google Scholar Profile | 🔗 Scopus ID: 37049428600 | 🔗 ORCID: 0000-0002-0576-8014

Selected Publications

Journals

1. Shaik MR, Das P, Chellu D, Mohanraj K, Pal C, Gyaneshwar D, Acharyya A. SATNet: Low Complexity Encoder-Only Edge Transformer Design using Second-Order Approximation for Road Classification. IEEE Transactions on Consumer Electronics (IF=10.9). 2026 Feb 17. [Link]
2. Chandrapu RR, Das P, Pal C, Prokash V, Sudhamsu RS, Chakraborty S, Das B, Acharyya A. QRVS: Quick and Robust Video Stitcher with Novel Single Shot Homography for Simultaneous Object Detection and Tracking. IEEE Transactions on Artificial Intelligence (IF=4.78). 2025 Oct 16. [Link]
3. Verma P, Pal C, Sasmal P, Najiya KZ, Acharyya A. EdgeNet: Empowering Edge Device Performance by Leveraging Clustered Networks for Optimal Memory Management With Platform-Awareness. IEEE Transactions on Emerging Topics in Computational Intelligence (IF=6.5). 2025 Jun 25. [Link]
4. Pal C, Saha S, Zhai X, Howells G, McDonald-Maier KD. APPARENT: AI-Powered Platform Anomaly Detection in Edge Computing. IEEE Transactions on Sustainable Computing (IF=3.9). 2025 Apr 21. [Link]
5. Pal C, Saha S, Zhai X, McDonald-Maier K. RENOWNED: a real-time anomaly detection and mitigation framework in edge-enabled IoV. IEEE Internet of Things Journal (IF=9.6). 2025 Feb 25. [Link]
6. Pal C, Pankaj S, Akram W, Biswas D, Mattela G, Acharyya A. Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices. Circuits, Systems, and Signal Processing (IF=2.3). 2022 Jul;41(7):3957-84. [Link]
7. Sivasubramani S, Mattela V, Pal C, Islam MS, Acharyya A. Shape and positional anisotropy based area efficient magnetic quantum-dot cellular automata design methodology for full adder implementation. IEEE Transactions on Nanotechnology (IF=2.5). 2018 Oct 11;17(6):1303-7. [Link]

Conferences

1. Pal C, Saha S, Zhai X, McDonald-Maier KD. "REALITY: RL-PowEred AnomaLy Detection with Imprecise Computing in MulTi-Core SYstems," 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), London, UK, 2024, pp. 1-6. [Link]
2. Pal, C., Verma, P., Rohit, H., Gyaneshwar, D., Channappayya, S. S., & Acharyya, A. "SqueezeNetVLAD: High-speed power and memory efficient GPS less accurate network model for visual place recognition on the edge," 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS), Edinburgh, UK, 2023, pp. 1-5. [Link]
3. Borowski M, Pal C, Saha S, Poli L, Zhai X, McDonald-Maier KD. "Anomaly Behaviour tracing of CHERI-RISC V using Hardware-Software Co-design," 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS), Edinburgh, UK, 2023, pp. 1-5. [Link]
4. Vinay R, Laad K, Pal C, Sasmal P, Haraki T, Tamura K, Juyal C, Elbakri MAG, Acharyya A. "Power and Memory Efficient High-Speed RL Based Run time Power Manager for Edge Computation," 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), Tempe, AZ, USA, 2023, pp. 546-550. [Link]
5. Vinay R, Sasmal P, Pal C, Haraki T, Tamura K, Juyal C, Elbakri MA, Channappayya S, Acharyya A. Light weight rl based run time power management methodology for edge devices. In 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, UK, 2022 Oct 24 (pp. 1-4). IEEE. [Link]
6. Pal C, Pankaj S, Akram W, Acharyya A, Biswas D. Modified Huffman based compression methodology for deep neural network implementation on resource constrained mobile platforms. In 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 2018 May 27 (pp. 1-5). IEEE. [Link]
7. Pal C, Biswas D, Maharatna K, Chakrabarti A. Architecture for complex network measures of brain connectivity. In 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, USA, 2017 May 28 (pp. 1-4). IEEE. [Link]

Book Chapters

1. Pal C, Acharyya A. (2022). A Novel Architecture Design for Complex Network Measures of Brain Connectivity Aiding Diagnosis. In: Gargiulo GD, Naik GR (eds) Wearable/Personal Monitoring Devices Present to Future. Springer, Singapore. [Link]
2. Pal C, Vemishetty N, Acharyya A. Pervasive Computing in Cardiovascular Healthcare (CRC Press, 2019). ISBN 9780429113390.
3. Acharya M, Pal C, Maity S, Chakrabarti A. “Inexact implementation of wavelet transform and its performance evaluation through bit width reduction,” In Chakrabarti A, Sharma N, Balas VE (eds.) Advances in Computing Applications, pp. 227–242. Springer, Singapore (2016). [Link]

Module Development & Teaching

• Industry Training: Designed AI/ML basic, intermediate and advanced modules and provided training in faculty development programs as an industry expert to colleges like College of Engineering and Technology, Jalgaon, JNTUA College of Engineering (Autonomous) Ananthapuramu etc, Hyderabad, India.
• Course Design: Neural network accelerator design course (IIT Hyderabad, India).
• Subjects Taught (Sikkim Manipal Institute of Technology, Sikkim, India as an Assistant Professor (2010 to 2012)): Embedded system (EC-602) along with lab (EC-609) | Microelectronics and VLSI DESIGN (EC-703) and lab (EC-707).

Academic Supervision & Grant Writing

• Supervised 4 master's degree final-year major projects (IIT Hyderabad, India).
• Supervised 6 final-year undergraduate engineering projects and 2 PhD students (SMIT and IIT Hyderabad, India).
• Presently mentoring 2 PhD students, 2 master’s students, and 1 undergrad in the Computer Science and Electronic Engineering department, University of Essex, UK.
• Experienced in writing multiple research grants to assist my professors (supervisors) at IIT Hyderabad, India (focusing on defense projects, MeitY, SERB, DST, DBT) and the University of Essex, UK (focusing on IoT security and biomedical research, EPSRC(UKRI), Innovate UK, DICE circular economy).

Dr. Chandrajit Pal