Saptarshi Biswas

Saptarshi Biswas

Position
  • PhD Student
Saptarshi Biswas is a PhD candidate of Department of Computer Science at Iowa State University. He is currently associated with the Laboratory of Molecular Programming at his department under the supervision of Dr. Jack Lutz. Alongside, he also serves as a graduate student contributor at Ames National Laboratory. He has served as Chair of MSIT IEEE Computer Society Student Branch Chapter and MSIT ACM Student Chapter in his undergrads. Currently, he is a student member in IEEE, IEEE Computer Society and ACM. Further, he is also a lifetime member of IEEE-HKN, the honorary society of IEEE. Currently, he serves as a reviewer for a few international journals. He was also a part of the organizing committee in two international conferences of IEEE and served as a reviewer. His current area of interest is Analog Computing, Molecular Programming, Unconventional Computing, Computability and Complexity Analysis of Real Function, Theory of Computation, Quantum Information Science, Dynamical Systems, Chaos Theory Nucleic Acid Memory and Deep Learning Optimization.

Contact

Social Media and Websites

Education

  • B.Tech., Computer Science & Engineering, Meghnad Saha Institute of Technology, 2020
  • M.S., Computer Science, Iowa State University, 2025

Publications:

Book Chapter

  1. Dey, S., Pal, R., and Biswas, S.,” Deep Learning Algorithms for Efficient Analysis of ECG Signals to Detect Heart Disorders,” Biomedical Engineering. IntechOpen, Dec. 21, 2022. DOI: 10.5772/intechopen.103075

Journals

  1. Biswas, S., Biswas, A., Mudryk, Y., and Singh, P.,” MagnoCluster: Physics-Informed Unsupervised Learning Framework for Material Classification,” (Communicated)
  2. Nachnani, A., Li-Caldwell, K., Biswas, S., Sharma, P., Ouyang, G., and Singh, P.,” Interpretable machine learning-guided design of Fe-based soft magnetic alloys,” Physics Review Materials, vol. 9, no. 8, pp. 1-13, 2025. DOI: 10.1103/w6m3-ymsf
  3. Biswas, S., Dey, S. and Nath, S.,” Learning Rate Tuner with Relative Adaptation (LRT-RA): Road to Sustainable Computing,” AppliedMath, vol. 5, no. 8, 2025. DOI: 10.3390/appliedmath5010008
  4. Biswas, S., Dey, S., Nath, P. and Nath, S.,” Cipher constrained encoding for constraint optimization in extended nucleic acid memory,” Computational Biology and Chemistry, vol. 99, 2022. DOI: 10.1016/j.compbiolchem.2022.107696
  5. Karmakar, T., Biswas, S., Das, I., Nath, S.,” Varibox Encryption Algorithm: The New Generation of Hybrid Security Measure for the Era of Quantum Computation,” Journal of Discrete Mathematical Sciences & Cryptography, pp. 479-505, 2022. DOI: 10.1080/09720529.2021.1968573
  6. Dey, S., Nath, P., Biswas, S., Nath, S. and Ganguly, A.,” Malaria detection through Digital Microscopic Imaging using Deep Greedy Network with Transfer learning,” Journal of Medical Imaging, vol. 8, no.5, 2021. DOI: 10.1117/1.jmi.8.5.054502
  7. Biswas, S., Nath, S., Dey, S. and Majumdar, U.,” Tangent-Cut Optimizer on Gradient Descent: An Approach towards Hybrid Heuristics,” Artificial Intelligence Review, vol. 55, no. 2, pp. 1121-1147, 2021. DOI: 10.1007/s10462-021-09984-0
  8. Biswas, S., Nath, S., Sing, J. K. and Sarkar, S. K.,” Extended Nucleic Acid Memory as the Future of Data Storage Technology,” International Journal of Nano and Biomaterials, vol. 9, no. 1/2, pp. 2-17, 2020. DOI: 10.1504/IJNBM.2020.107412

Conferences

  1. Biswas, S.,” Computability of Real Functions with Oracle Pointer Machines implies Real-Time simulation of Chemical Reaction Networks,” 2025 Computability in Europe (CiE 2025), Lecture Notes in Computer Science, Springer, Lisbon, Portugal, 2025. DOI: 10.1007/978-3-031-95908-0 13
  2. Biswas, S., Ghosh, T. and Nath, S.,” Selective Run-Length Encoding on Extended Nucleic Acid Memory,” 2022 IEEE VLSI Device Circuit and System (VLSI DCS), Kolkata, India, pp. 148-153, 2022. DOI: 10.1109/VLSIDCS53788.2022.9811440
  3. Dey, S., Biswas, S., S. Nandi, S. Nath, and I. Das,” Deep Greedy Network: A Tool for Medical Diagnosis on Exiguous Dataset of COVID-19,” IEEE International Conference for Convergence in Engineering (ICCE), Kolkata, India, pp. 340-344, 2020. DOI: 10.1109/ICCE50343.2020.9290715
  4. Nath, S., Gupta, S., Biswas, S., Banerjee, R., Sing, J. K. and Sarkar, S. K.,” GPSO Hybrid Algorithm for Rectilinear Steiner Tree Optimization,” IEEE VLSI Device Circuit and System (VLSI DCS), Kolkata, India, pp. 365-369, 2020. DOI: 10.1109/VLSIDCS47293.2020.9179861
  5. Das, I., Singh, S., Das, R., Biswas, S., Roy, S. and Gupta, S.,” Design and Implementation on EMBA Authentication models,” IEEE VLSI Device Circuit and System (VLSI DCS), pp. 283-288, 2020. DOI: 10.1109/VLSIDCS47293.2020.9179890
  6. Nath, S., Bandyopadhyay, R., Biswas, S., Sing, J. K. and Sarkar, S. K.,” A New Global Routing Optimization Algorithm based on Pigeon Inspired Optimization,” IEEE Calcutta Conference (CALCON), pp. 184-188, 2020. DOI: 10.1109/CALCON49167.2020.9106507
  7. Biswas, S., Nath, S., Sing, J. K. and Sarkar, S. K.,” Storing Digital Data in Nucleic Acid Memory with Extended Genetic Alphabet,” 2019 Devices for Integrated Circuit (DevIC), Kalyani, India, pp. 236-239, 2019. DOI: 10.1109/DEVIC.2019.8783912

Master’s Thesis

  1. Biswas, S., Oracle Pointer Machines (Order No. 31998837), (2025). Available from Dissertations & Theses @ Iowa State University; ProQuest Dissertations & Theses Global. (3225638753). https://www.proquest.com/dissertations-theses/oracle-pointer-machines/docview/3225638753/se-2

 

Association as Reviewer:

Journals:

  1. Machine Vision and Applications, Springer Nature
  2. Scientific Reports, Nature
  3. Artificial Intelligence Review, Springer-Nature
  4. Applied Artificial Intelligence, Taylor & Francis Group
  5. Knowledge and Information Systems, Springer-Nature
  6. Current Computer-Aided Drug Design, Bentham Science
  7. IEEE Transaction on Artificial Intelligence, IEEE
  8. Journal of Engineering Research, Elsevier
  9. Archives of Computational Methods in Engineering, Springer Nature
  10. International Journal of Data Science and Analytics, Springer Nature
  11. Computational Biology and Chemistry, Elsevier
  12. Cluster Computing, Springer Nature
  13. Signal, Image and Video Processing, Springer Nature
  14. Discover Applied Sciences, Springer Nature

Conferences:

  1. 2nd IEEE Electron Device Kolkata Conference 2022 (EDKCON 2022)
  2. 2025 Devices for Integrated Circuit (DevlC 2025)
  3. 3rd IEEE Electron Device Kolkata Conference 2024 (EDKCON 2024)
  4. 3rd IEEE Conference on VLSI Design, Circuit and System (IEEE VLSI DCS 2022)
  5. 5th International Conference “2023 Devices for Integrated Circuit (DevIC 2023)

Invited Talks:

  1. Iowa Colloquium on Information, Complexity, and Logic Summer Research Conference, Drake University, Des Moines, IA, USA. (June, 2025) Topic: Real-Time Simulation of Chemical Reaction Networks with Oracle Pointer Machines
  2. Department of Computer Science, Drake University, Des Moine, IA, USA. (September, 2023) Topic: Extended Nucleic Acid Memory
  3. World Gene Convention 2023, BIT Congress, Sapporo, Japan. (January, 2023) Topic: Extended Nucleic Acid Memory