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IInvenTiv2026

Faculty details

Prof.Haswanth Vundavilli

Designation: Assistant Professor

Department: Electrical Engineering

Email: haswanth[at]iitism[dot]ac[dot]in

Contact Number:

Office Number: +91-326-223-5141

Personal Page: Click Here

About Me: Hello! My name is Dr. Haswanth Vundavilli, and I am currently an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology (Indian School of Mines), Dhanbad. I currently head the Biological System Analysis and Control (BSAC) Lab, where we bridge the gap between Bioinformatics, Systems Biology, and Embedded Instrumentation through an Electrical Engineering lens. We use intelligent system analysis to engineer closed-loop strategies, transforming multi-modal biological data into precise interventions that regulate dynamic disease states. Previously, I held postdoctoral appointments in Dr. Antonio del Sol's lab at the University of Luxembourg in Esch-sur-Alzette, Luxembourg, and Dr. Wenyi Wang's lab at the University of Texas MD Anderson Cancer Center in Houston, Texas. From 2016-2021, I was a graduate student working towards my direct-Ph.D. under the supervision of Dr. Aniruddha Datta in the Department of Electrical Engineering at Texas A&M University in College Station, Texas. I graduated with a direct-Ph.D. in Electrical Engineering in May 2021. I received my Bachelor of Technology in Electrical Engineering (with a minor in Physics) from the Indian Institute of Technology Madras in July 2015.

Research Interest: My primary research interests lie in systems biology, bioinformatics, and computational modeling applied to cancer therapy and drug discovery.

Curriculum
Vitae
Publications

Teaching

Monsoon/Fall 2026

NEEH301 - Microprocessors and Microcontrollers
NEED513 - Instrumentation for Embedded Control Systems 
NEEC529 - Applied Instrumentation Laboratory
 

Winter/Spring 2026

EEO301 - Microprocessor and Microcontroller
NEEC525 - Advanced Measurement and Instrumentation Lab
 

Monsoon/Fall 2025

EEC201 - Signals, Systems and Networks
EEC271 - Networks Lab
 

Winter/Spring 2025

EEO301 - Microprocessor and Microcontroller
NEEC525 - Advanced Measurement and Instrumentation Lab
 

Monsoon/Fall 2024

EEC201 - Signals, Systems and Networks
EEC271 - Networks Lab
 

Winter/Spring 2024

EED405 - Instrumentation
EEC273 - Control and Measurements Lab

Academics

10/2023 – Present:  Assistant Professor, Department of Electrical Engineering, IIT (ISM) Dhanbad, Jharkhand.

08/2023 – 10/2023:  Postdoctoral Fellow, University of Luxembourg, Luxembourg.

06/2021 – 09/2022:  Postdoctoral Fellow, MD Anderson Cancer Center, Houston, USA.

08/2016 – 05/2021:  direct-Ph.D. in Electrical Engineering, Texas A&M University, College Station, USA.

08/2011 – 06/2015:  B.Tech in Electrical Engineering, IIT Madras, India.

Position

Academic Timeline:

10/2023 – Present:  Assistant Professor, Department of Electrical Engineering, IIT (ISM) Dhanbad, Jharkhand.
08/2023 – 10/2023:  Postdoctoral Fellow, University of Luxembourg, Luxembourg.
06/2021 – 09/2022:  Postdoctoral Fellow, MD Anderson Cancer Center, Houston, USA.
08/2016 – 05/2021:  direct-Ph.D. in Electrical Engineering, Texas A&M University, College Station, USA.
08/2011 – 06/2015:  B.Tech in Electrical Engineering, IIT Madras, India.

Awards and Honors

Publications

List Of Research Publications (only in Peer-reviewed Journals)

  1. Vundavilli, H., Datta, A., Sima, C., Hua, J., Lopes, R., & Bittner, M. (2018). In silico design and experimental validation of combination therapy for pancreatic cancer. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(3), 1010–1018. (Journal Indexing: WoS-SCIE-Q1; Impact factor: 3.4)
  2. Vundavilli, H., Datta, A., Sima, C., Hua, J., Lopes, R., & Bittner, M. (2019). Bayesian inference identifies combination therapeutic targets in breast cancer. IEEE Transactions on Biomedical Engineering, 66(9), 2684–2692. (Journal Indexing: WoS-SCIE-Q2; Impact factor: 4.5)
  3. Vundavilli, H., Datta, A., Sima, C., Hua, J., Lopes, R., & Bittner, M. (2019). Cryptotanshinone induces cell death in lung cancer by targeting aberrant feedback loops. IEEE Journal of Biomedical and Health Informatics, 24(8), 2430–2438. (Journal Indexing: WoS-SCIE-Q1; Impact factor: 6.8)
  4. Vundavilli, H., Datta, A., Sima, C., Hua, J., Lopes, R., & Bittner, M. (2021). Targeting oncogenic mutations in colorectal cancer using cryptotanshinone. PLoS One, 16(2), e0247190. (Journal Indexing: WoS-SCIE-Q2; Impact factor: 2.6)
  5. Vundavilli, H., Tripathi, L. P., Datta, A., & Mizuguchi, K. (2021). Network modeling and inference of peroxisome proliferator-activated receptor pathway in high fat diet-linked obesity. Journal of Theoretical Biology, 519, 110647. (Journal Indexing: WoS-SCIE-Q2; Impact factor: 2.0)
  6. Vundavilli, H., Datta, A., Sima, C., Hua, J., Lopes, R., Bittner, M., Miller, T., & Wilson-Robles, H. M. (2022). Anti-tumor effects of cryptotanshinone (C19H20O3) in human osteosarcoma cell lines. Biomedicine & Pharmacotherapy, 150, 112993. (Journal Indexing: WoS-SCIE-Q1; Impact factor: 7.5)
  7. Gupta, S., Vundavilli, H., Osorio, R. S. A., Itoh, M. N., Mohsen, A., Datta, A., Mizuguchi, K., & Tripathi, L. P. (2022). Integrative network modeling highlights the crucial roles of Rho-GDI signaling pathway in the progression of non-small cell lung cancer. IEEE Journal of Biomedical and Health Informatics, 26(9), 4785–4793. (Journal Indexing: WoS-SCIE-Q1; Impact factor: 6.8)
  8. Lahiri, A., Vundavilli, H., Mondal, M., Bhattacharjee, P., Decker, B., Del Priore, G., Reeves, N. P., & Datta, A. (2023). Drug target identification in triple negative breast cancer stem cell pathways: A computational study of gene regulatory pathways using Boolean networks. IEEE Access, 11, 56672–56690. (Journal Indexing: WoS-SCIE-Q2; Impact factor: 3.6)
  9. Aparicio, A. M., Tidwell, R. S., Yadav, S. S., Chen, J.-S., Zhang, M., Liu, J., Guo, S., Pilié, P. G., Yu, Y., Song, X., & others. (2024). A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration–Resistant Prostate Cancer. Clinical Cancer Research, 30(13), 2751–2763. (Journal Indexing: WoS-SCIE-Q1; Impact factor: 10.2)
  10. Mondal, M., Lahiri, A., Vundavilli, H., Del Priore, G., Reeves, N. P., & Datta, A. (2024). A Computational Study of Efficient Combinations of FDA-approved drugs and dietary supplements in Endometrial Cancer. IEEE Access, 12, 190746–190759. (Journal Indexing: WoS-SCIE-Q2; Impact factor: 3.6)
  11. Dhanka, S., Kumar, A., Sharma, A., Vundavilli, H., Maini, S., & Rajasekar, E. (2025). Advances in machine learning and deep learning for hormonal disorder diagnosis: an exhaustive review on PCOS, thyroid, and optimization techniques. Archives of Computational Methods in Engineering, 1–45. (Journal Indexing: WoS-SCIE-Q1; Impact factor: 12.1)
  12. Dhanka, S., Sharma, A., Kumar, A., Maini, S., & Vundavilli, H. (2026). Advancements in hybrid machine learning models for biomedical disease classification using integration of hyperparameter-tuning and feature selection methodologies: A comprehensive review. Archives of Computational Methods in Engineering, 33(1), 289–324. (Journal Indexing: WoS-SCIE-Q1; Impact factor: 12.1)

Papers in conference abstract volumes / presented

  1. Vundavilli, H., Tumiati, M., Hautaniemi, S., Datta, A., & Kauppi, L. (2022). Image Processing Pipeline to Compute Homologous Recombination Score. Proceedings of the 12th International Conference on Biomedical Engineering and Technology, 51–56.
  2. Mondal, M., Lahiri, A., Vundavilli, H., Del Priore, G., Reeves, P., & Datta, A. (2023). Combination supplements for endometrial cancer. 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE), 238–243.
  3. Viscuse, P. V., Tidwell, R., Liu, J., Guo, S., Vundavilli, H., Zhang, M., Subudhi, S. K., Zurita, A. J., Corn, P. G., Tu, S.-M., & others. (2022). DynAMo: A dynamic allocation modular sequential trial of approved and promising therapies in men with metastatic CRPC. American Society of Clinical Oncology. 
  4. Logotheti, S., Vundavilli, H., Papadaki, E., Zhao, Y., Estecio, M. R., Soundararajan, R., Shepherd, P., Dong, J., Hoang, A., Guo, S., & others. (2023). Candidate measures of lineage plasticity in aggressive phenotypes of prostate cancer. Cancer Research, 83(7_Supplement), 142–142.

Projects & Activities

Sponsored Research Projects (External Funded)

Title: Inferring Cancer Networks using Computational Biology

Amount: Rs. 35,00,000

Duration: 5 years

Funding Agency: DST

Guidance

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