Mr. Shreeram Hudda

Designation: Assistant Professor

Academic Area: Computer Networking

Brief Profile:

Shreeram Hudda’s research focuses on developing secure, energy efficient, and scalable solutions for Internet of Things (IoT) applications, especially in resource constrained environments. As IoT systems become increasingly integrated into critical infrastructure and personal devices, the need for robust solutions that address both security and energy efficiency is paramount. His work combines theoretical analysis and practical experimentation to address these challenges, with a particular focus on energy efficient protocols and secure data transmission.

In his PhD work, he designed and developed an intelligent, energy efficient data communication approach that employs many parameters for WSN based resource constrained IoT environments. A hybrid surveillance mechanism is also proposed by integrating scalar sensor based solution and vision sensor based solution to address the challenges in the traditional surveillance system related to the energy consumption and reliability. Moreover, a resource consumption aware lightweight solution is designed and developed for secure communication in WSN based resource constrained IoT systems. By designing a solution that balance security and efficiency, he aims to advance IoT applications in sectors like healthcare, smart cities, and industrial automation. His work has led to the development of a solution that reduces energy consumption by optimizing communication schedules while maintaining adequate security standards.

His future research agenda includes expanding these studies by using several advanced technologies such as ML/DL, cloud and edge computing, computer vision. He is particularly interested in investigating DL, ML, and computer vision models, where IoT devices can jointly train models without sharing raw data. This approach could revolutionize privacy preserving applications in domains like personalized medicine and smart home security. Through collaboration with industry partners and interdisciplinary teams, he would aim to produce impactful research that advances both the theory and practice of IoT security. His commitment to research also extends to mentoring students, where he encourages them to explore innovative ideas, develop rigorous methodologies, and contribute to the broader scientific community.

His teaching philosophy centers around fostering an engaging, inclusive, and supportive learning environment that empowers students to take ownership of their educational journey. He believes that students learn best when they feel respected, encouraged, and actively involved in the process, which is why he strives to cultivate a classroom atmosphere built on mutual respect and intellectual curiosity. In his courses, he plans to emphasize active learning techniques that encourage students to apply theoretical concepts to real world problems. For instance, he integrates case studies, group projects, and hands-on labs to bridge the gap between theory and practice, helping students build practical skills alongside conceptual knowledge. He believes that this approach is particularly effective in fields where problem solving and critical thinking are essential, as it encourages students to experiment, make mistakes, and learn from them in a supportive setting.

To ensure inclusivity, he uses diverse assessment methods, such as traditional exams, open-ended projects, and collaborative presentations, to address various learning styles and abilities. He also prioritizes frequent feedback and encourage open communication so that students feel comfortable reaching out for help or further clarification. As an educator, his goal is to inspire lifelong learning and equip students with the confidence and competence to succeed beyond the classroom. Looking ahead, he will plan to expand his teaching approach by incorporating ICT tools and resources to enhance learning outcomes. By offering supplementary study materials, virtual discussions, and self-paced modules, he aims to make his courses more flexible and accessible to students from varied backgrounds.


Shreeram Hudda is a Ph.D. student (PhD thesis has submitted) at the Department of CSIS, Birla Institute of Technology and Science (BITS) – Pilani, Pilani Campus, Jhunjhunu, Rajasthan, India. His PhD degree is in computer science related to the Internet of Things (IoTs) under the esteemed guidance of Associate Prof. K. Haribabu. He received his M.Tech. degree from Lovely Professional University (LPU), Jalandhar, in 2016, and B.Tech. degree from Rajasthan Technical University (RTU), Kota, in 2012.

Beyond academic research, he has gained valuable industry and interdisciplinary experience. As a Project Associate at the Society for Electronic Transactions and Security (SETS), Chennai (April 2019 – April 2020), he contributed to a NIC funded project on Virtual Private Networks (VPNs), focused on enhancing IPsec based indigenous mobile VPN applications. An indigenous mobile application was developed to provide Virtual Private Network (VPN) services. His role involved identifying and addressing critical issues in existing VPN systems, translating directly into practical, deployable solutions. Previously, he served as a Junior Research Fellow (JRF) at ICAR – Indian Agricultural Research Institute (IARI), New Delhi, from August 2018 to March 2019, under a Department of Biotechnology (DBT) funded project. His focus was on leveraging graph theory in computational biology to uncover innovative applications in bioinformatics. During his PhD, he has provided teaching assistance in multiple undergraduate and post-graduates courses such as Computer Networking, Parallel Computing, Network Programming, IoT Design and Development, Cloud Computing, High Performance Heterogeneous Parallel Computing.

  • BITS Pilani, Pilani Campus, Rajasthan, India

He has received travel grant for NOMS-2025 conference from ANRF (SERB). He has qualified for GATE in 2020, 2018, and 2014. Additionally, he has qualified for UGC NET JRF in July 2019. He has also qualified for UGC NET Lectureship in July 2019, December 2018, July 2018, November 2017.

His research areas include Computer Networking, Cyber Security, SDN, IoT, Wireless Communications, Sensor Networking, Edge Computing, ML/DL, and Cloud Computing.

Journal Articles (Published)

  • Shreeram Hudda, K. Haribabu, “A Review on WSN Based Resource Constrained Smart IoT Systems”, Discover Internet of Things Journal, volume – 5, number – 56, Springer Nature, 2025, {Indexing: SCOPUS, Quartile 2 (Q2)}, {https://doi.org/10.1007/s43926-025-00152-2}
  • Shreeram Hudda, Rishabh Barnwal, Abhishek Khurana, and K Haribabu, “A WSN and vision based smart, energy efficient, scalable, and reliable parking surveillance system with optical verification at edge for resource constrained IoT devices”, Internet of Things, volume – 28, number – 101346, Elsevier, 2024, {Impact Factor: 6.0}, {Indexing: SCIE, Quartile 1 (Q1)}, {https://doi.org/10.1016/j.iot.2024.101346}
  • Shreeram Hudda, K. Haribabu, and Rishabh Barnwa, “Energy efficient data communication for WSN based resource constrained IoT devices” Internet of Things, volume – 27, number – 101329, Elsevier, 2024, {Impact Factor: 6.0}, {Indexing: SCIE, Quartile 1 (Q1)}, {https://doi.org/10.1016/j.iot.2024.101329}
  • Shreeram Hudda, “Uninterrupted VPN Connection-Service with Mobility Management and Dead Peer Detection”, Defence Science Journal, volume – 71, issue – 4, pages 507-514, 2021, {Indexing: SCIE, Quartile 4 (Q4)}, {https://dx.doi.org/10.14429/dsj.71.15623}
  • Shreeram Hudda, Ritika Mahajan, and Sarvesh Chopra, “Prioritization of user-stories in agile environment”, Indian Journal of Science and Technology, volume – 9, issue – 10.17485, 2016, {Indexing: SCIE, Quartile 2 (Q2)}, {https://dx.doi.org/10.17485/ijst/2016/v9i45/105069}
  • Shreeram Hudda, and Ritika Mahajan, “Spiral model for component-based software development”, Far East Journal of Electronics and Communications, special volume – 3, pages 817-836, 2016, {Indexing: SCIE, Quartile 2 (Q2)}, {http://dx.doi.org/10.17654/ECSV3PII16817}

Journal Articles (Communicated)

  • Shreeram Hudda, Sudhanva S, and K. Haribabu, “A Novel Dynamic Switching System for Secure and Energy Efficient Data Communication in WSN Based IoT Environment”, In the Internet of Things, Elsevier, {Impact Factor: 6.0}, {Indexing: SCIE, Quartile 1 (Q1)}}
  • Shreeram Hudda, Aditya Dandwate, Rishabh Malik, and K. Haribabu, “ML and MCDA Based Approach for Energy Efficient Communication for WSN Based Resource Constrained IoT Devices”, In the IEEE Transactions on Network and Service Management, IEEE, {Impact Factor: 4.7}, {Indexing: SCIE, Quartile 1 (Q1)}}

Conference Articles (Published)

  • Shreeram Hudda, and K. Haribabu, “DySwitch: Dynamic Switching to Enable Secure and Energy Efficient Data Communication in Resource Constrained IoT Environment”, In the 39th International Conference on Advanced Information Networking and Applications (AINA-2025)}, pages 58-69, Springer, 2025, {Ranking: CORE B}, {https://doi.org/10.1007/978-3-031-87769-8_6}
  • Shreeram Hudda, K. Haribabu, Rishabh Barnwal, and Abhishek Khurana, “A WSN and Vision Based Energy Efficient and Smart Surveillance System Using Computer Vision and AI at Edge”, In the 38th International Conference on Advanced Information Networking and Applications (AINA-2024)}, pages 24-36, Springer, 2024, {Ranking: CORE B}, {https://doi.org/10.1007/978-3-031-57870-0_3}
  • Shreeram Hudda, K. Haribabu, and Rishabh Barnwal, “A novel approach for energy-efficient communication in a constrained IoT environment”, In the 38th International Conference on Information Networking (ICOIN-2024)}, pages 699-704, IEEE, 2024, {Ranking: CORE B}, {https://doi.org/10.1109/ICOIN59985.2024.10572211}
  • Shreeram Hudda, K. Haribabu, and Vikas Balani, “An energy efficient data transmission approach in smart IoT systems”, In the 38th International Conference on Information Networking (ICOIN-2024)}, pages 740-745, IEEE, 2024, {Ranking: CORE B}, {https://doi.org/10.1109/ICOIN59985.2024.10572103}

Conference Articles (Accepted)

  • Shreeram Hudda, “Prioritization of User Stories in Agile Development Using Rank Ordering and Weighting Method”, In the 19th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2025), {Ranking: CORE B}.
  • Shreeram Hudda, Aditya Dandwate, and K. Haribabu, “MMulCriApp: ML and MCDA Based Approach for Energy Efficient Communication for WSN Based Resource Constrained IoT Devices” In the 38th IEEE/IFIP Network Operations and Management Symposium (NOMS-2025), {Ranking: CORE B}.
  • Shreeram Hudda, Tanupriya Chejara, and Abhishek Khurana, “Hamiltonian Circuit and Travelling Salesman Problem for DNA Sequencing in Fragment Assembly”, In the 5th International Conference on Frontiers in Computing and Systems (COMSYS-2024).
  • Shreeram Hudda, Abhishek Khurana, and Tanupriya Chejara, “A Feature-Set Based Novel Approach for DNA Sequence Analysis”, In the 5th International Conference on Frontiers in Computing and Systems (COMSYS-2024).
  • Shreeram Hudda, Rishabh Barnwal, Abhishek Khurana, and Tanupriya Chejara, “An MCDA and PERT Based Novel Approach for Prioritization of User Stories in Agile Environment”, In the 11th International Conference on Computational Science and Computational Intelligence (CSCI-2024).

He can provide the consultancy in Computer Networking area.

The following structured approach conveys a clear and organized vision for his teaching and research roadmap:

  • Vision and Goals: He aims to enhance student engagement through innovative teaching methods and contribute significantly to several core domain’s subjects.
  • Curriculum Development: He would like to develop both new advanced and basic courses that incorporate few cutting edge technologies and methodologies, and He will implement flipped classroom techniques.
  • Research Focus: His research will focus on energy efficient and secure data communication in the IoT environment by utilizing several advanced technologies, particularly DL/ML, computer vision and interdisciplinary collaboration, with plans to secure funding for these initiatives.
  • Collaboration and Engagement: He will collaborate with other departments and institutions to expand his research and engage the local community through targeted outreach programs.
  • Assessment: He will assess teaching effectiveness through student surveys and course evaluations, while measuring research outcomes using publication metrics and community feedback.
  • Timeline:
    • Year 1: Develop new courses and initiate research projects.
    • Year 2: Implement innovative teaching methods and publish research findings.
    • Years 3-5: Expand course offerings, strengthen collaborations, and evaluate and refine strategies.