Krishna Pavan Inala | Smart Grids | Best Researcher Award

Assist. Prof. Dr. Krishna Pavan Inala | Smart Grids | Best Researcher Award

Assistant Professor at BV Raju Institute of Technology | India

Dr. Krishna Pavan Inala is an accomplished researcher specializing in communication networks for smart grids, electric vehicle integration, and intelligent energy management systems. His research advances focus on Vehicle-to-Grid (V2G) communication, distributed grid voltage stability, communication-system impacts on power networks, and machine-learning-based load forecasting. He has published impactful journal articles in leading venues such as IEEE Systems Journal, IEEE Transactions on Industrial Informatics, IET Power Electronics, and the International Journal of Ambient Energy. His research output is well-recognized, with 103 citations, an h-index of 5, and an i10-index of 2 (with 100 citations, h-index 5, and i10-index 2 since 2020). His conference and book-chapter contributions, presented in prominent IEEE conferences and Springer proceedings, span optimal load prediction using machine learning, AI and IoT applications in smart-grid security, deep learning for household demand forecasting, and the role of communication networks in V2G environments. His expertise includes MATLAB, Python, communication-network simulators, and advanced data-analytics tools, enabling him to develop and evaluate innovative solutions for smart-grid communication reliability, predictive modeling, and energy optimization. In teaching and mentoring roles, he integrates concepts from communication engineering, artificial intelligence, and power systems to guide student research and project development. Dr. Inala’s research vision emphasizes building intelligent, secure, and resilient smart-grid infrastructures through robust communication frameworks, AI-driven forecasting, and sustainable energy technologies, contributing significantly to the evolution of next-generation smart electric systems.

Profile: Google Scholar

Featured Publications

1. Sah, B., Kumar, P., Rayudu, R., Bose, S. K., & Inala, K. P. (2018). Impact of sampling in the operation of vehicle to grid and its mitigation. IEEE Transactions on Industrial Informatics, 15(7), 3923–3933.

2. Inala, K. P., Sah, B., Kumar, P., & Bose, S. K. (2020). Impact of V2G communication on grid node voltage at charging station in a smart grid scenario. IEEE Systems Journal, 15(3), 3749–3758.

3. Inala, K. P., Kumar, P., & Bose, S. K. (2019). Impact of communication systems on grid node voltage and operation of a vehicle-to-grid controller in a smart-grid scenario. IET Power Electronics, 12(13), 3499–3509.

4. Inala, K. P., & Thirugnanam, K. (2022). Role of communication networks on vehicle-to-grid (V2G) system in a smart grid environment. In Proceedings of the 2022 4th International Conference on Energy, Power and Environment (ICEPE) (pp. 1–5). IEEE.

5. Manojkumar, R., & Inala, K. P. (2024). Optimised rule-based peak shaving and its impact on annual energy cost reduction. International Journal of Ambient Energy, 45(1), 2397672.

Amreen Shafique | Software Engineering | Best Researcher Award

Dr. Amreen Shafique | Software Engineering | Best Researcher Award

Phd Scholar at Dalian University of Technology, China

Amreen Shafique is a dedicated Ph.D. scholar in Software Engineering at Dalian University of Technology, China. She has a strong academic background in computer science, complemented by practical teaching experience and a growing publication record in artificial intelligence and cybersecurity. Passionate about research and innovation, she aims to contribute to cutting-edge technologies such as Explainable AI, deep learning, and software-defined networking. Her analytical mindset, programming skills, and commitment to academic excellence define her professional identity.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctor of Philosophy (Ph.D.) in Software Engineering
    Dalian University of Technology, China
    2022 – Ongoing

  • Master of Science (MS) in Computer Science
    Mohi-ud-din Islamic University, Azad Kashmir, Pakistan
    2016 – 2018
    CGPA: 3.16 / 4.00

  • Bachelor of Science (BS) in Computer Science
    The University of Azad Jammu and Kashmir, Pakistan
    2007 – 2011
    CGPA: 2.72 / 4.00

Professional Experience 💼

  • Lecturer, Computer Science
    University of Kotli, Azad Kashmir, Pakistan
    2018 – 2022
    Delivered undergraduate courses, guided student projects, and participated in curriculum development.

  • Lecturer, Computer Science
    Leads Group of Colleges, Azad Kashmir, Pakistan
    2014 – 2018
    Engaged in teaching foundational and advanced computer science subjects.

Research Interests 🔬

  • Explainable Artificial Intelligence (XAI)

  • Cyber Security

  • Wireless Networking and Security

  • Deep Learning Enabled Robotics and Automation

  • Software Defined Networking (SDN)

  • Advanced Neural Networks

  • Generative Models

Strengths and Technical Skills

  • Technical and Research Writing (English)

  • Critical Analysis of Literature

  • Data Analytics

  • Programming Languages: MATLAB, Python, Java

Conclusion🌟

Amreen Shafique is an emerging researcher with a strong vision for integrating ethical AI, cybersecurity, and intelligent automation into real-world solutions. Her commitment to academic growth, combined with hands-on teaching and research experience, positions her as a valuable contributor to any forward-thinking research team or academic institution. She seeks opportunities that will foster collaboration, innovation, and impactful scientific contributions.

Publications 📚

1️⃣ AI Models and Ethical Considerations in Research

🧠📜 This publication explores the integration of ethical frameworks in the development and deployment of artificial intelligence models, emphasizing transparency, bias mitigation, and responsible innovation.


2️⃣ PypiGuard: A Novel Meta-Learning Approach for Enhanced Malicious Package Detection in PyPI Through Static-Dynamic Feature Fusion

This research presents PypiGuard, a cutting-edge hybrid model that combines static and dynamic analysis techniques using meta-learning to detect malicious packages in Python’s official package repository (PyPI), enhancing cybersecurity and trust in open-source software ecosystems.


CHANDRA SHEKHAR RAJORA | ELECTRONICS AND COMMUNICATION | Best Researcher Award

Mr. CHANDRA SHEKHAR RAJORA | ELECTRONICS AND COMMUNICATION | Best Researcher Award

Associate Professor at Jaipur National University, India

Chandra Shekhar Rajora is a seasoned academic and professional with over 18 years of experience in education, training, and research. Currently a Coordinator and Assistant Professor at Jaipur National University (JNU), Jaipur, he has significantly contributed to academic leadership, industry collaboration, and student development.

Professional Profile 

Scopus

Education

  • M.Tech. in Digital Communication, Rajasthan Technical University
  • MBA in Marketing and HR, Rajasthan Technical University (2011)
  • B.E. in Electronics & Communication, University of Rajasthan (2005)

Professional Experience

  • Coordinator and Assistant Professor, JNU, Jaipur (2012–Present): Engaged in curriculum enhancement, student mentoring, and industry placement initiatives.
  • Training & Placement Officer, RCEW, Jaipur (2006–2012): Managed industry collaborations, job fairs, and training programs.
  • Jr. Engineer, Infinium India Ltd. (1 year): Specialized in VSAT system installations for telecommunication projects.

Research Interests

Microstrip filters, optical amplifiers, TQM in SMEs, and advancements in digital communication technologies.

Awards and Honors

  • Represented JNU at the Invest Rajasthan Summit 2022.
  • Lifetime member of ISTE and CSI.
  • Member of the Indian Science Congress Association (2023-24).

Conclusion

Chandra Shekhar Rajora’s blend of academic, professional, and research achievements positions him as a commendable candidate for the Best Researcher Award. His impactful contributions reflect his dedication to education, innovation, and industry-academic synergy.

Publications 📚

  • “Optical system based data classification for diabetes retinopathy detection using machine language with artificial intelligence”
    • Authors: Suraj Malik, S. Srinivasan, Chandra Shekhar Rajora, Sachin Gupta, Mohammed Mujeer Ulla, Neeraj Kaushik
    • Journal: Optical and Quantum Electronics
    • Year: 2023
    • Volume and Issue: Volume 55, Issue 10
    • Article Number: 896
    • DOI: 10.1007/s11082-023-05193-x
    • Citations: As of now, this article has been cited once.
    • Note: This article has been retracted.
      SpringerLink
  • “IoT Based Smart Home with Cutting-Edge Technology for IDS/IPS”
    • Authors: Chandra Shekhar Rajora, Ankit Sharma
    • Conference: 2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering (ICATIECE 2022)
    • Year: 2022
    • DOI: 10.1109/ICATIECE53134.2022.10047483
    • Citations: This conference paper has been cited twice.