Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

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Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

Dr. Tanushree Bhattacharjee, GRIDsentry Private Limited, India

Dr. Tanushree Bhattacharjee is a distinguished cybersecurity expert specializing in substation automation, OT security, and intrusion detection systems (IDS). With a Ph.D. in Electrical Engineering from Jamia Millia Islamia, she has over seven years of experience securing critical infrastructure. As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, she leads cutting-edge research in forensic analysis, deep packet inspection, and AI-powered threat modeling. Dr. Bhattacharjee has played a vital role in national and international cybersecurity testbeds, contributing to the advancement of IEC 61850, power grid security, and microgrid protection. Her expertise in AI/ML-based anomaly detection ensures the resilience of modern power systems. 🔐⚡

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for the Best Researcher Award 

Dr. Tanushree Bhattacharjee is an outstanding candidate for the Best Researcher Award, given her pioneering work in substation automation security and digital transformation. She has made significant contributions to intrusion detection, vulnerability assessment, and OT security in power grids. Her leadership in developing IDS/IPS solutions, coupled with her expertise in AI-powered anomaly detection, positions her as a key innovator in cyber-physical security. With a strong background in threat modeling, forensic analysis, and protocol security, her research directly impacts critical infrastructure protection. Her proven ability to bridge AI with cybersecurity makes her a deserving nominee for this prestigious recognition. 🏆🔍

🎓 Education

Dr. Tanushree Bhattacharjee holds a Ph.D. in Electrical Engineering from Jamia Millia Islamia, New Delhi (2017-2022), where she focused on substation automation and microgrid protection. She completed her Master’s in Power Systems at the Indian Institute of Engineering Science & Technology, Shibpur (2012-2014). Her academic work involved IEC 61850 protocols, cybersecurity in digital substations, and AI-driven security frameworks. Through hands-on research in power system modeling, microgrid security, and forensic analysis, she has contributed to cybersecurity innovations in critical infrastructure. Her education has provided a robust foundation for her advancements in intrusion detection and digital protection strategies. 🎓⚡🔬

💼 Experience 

As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, Dr. Bhattacharjee leads research on intrusion detection systems (IDS), AI-driven threat modeling, and forensic analysis. Previously, as a Product Manager, she specialized in deep packet inspection and anomaly detection. She also worked as a Power System Security Engineer, focusing on IPS/IDS development and OT cybersecurity. Her tenure at Jamia Millia Islamia involved substation automation, protocol security, and microgrid testing. With expertise in vulnerability assessments, access control, and live cybersecurity testing, she has significantly contributed to the security of modern power infrastructures. 🔒💡🚀

🏅 Awards & Honors 

Dr. Bhattacharjee has received multiple accolades for her contributions to power system cybersecurity. She has been recognized for her outstanding research in IDS and AI-driven security mechanisms. Her work on IEC 61850-based intrusion detection won Best Paper Awards at leading cybersecurity conferences. She has been acknowledged by cybersecurity organizations for her role in developing AI-based threat detection tools. Additionally, she has contributed to national security projects, earning commendation from government agencies and industry leaders. Her expertise in forensic analysis, digital substation security, and OT cybersecurity has positioned her as a trailblazer in the field. 🏆🔍⚡

🔬 Research Focus

Dr. Bhattacharjee’s research integrates emerging technologies with cybersecurity, focusing on power system protection, IEC 61850 protocols, and digital substation automation. Her expertise includes intrusion detection, AI-based anomaly detection, and forensic security analysis. She explores cyber-physical system security, ensuring resilience against DDoS, MITM, and replay attacks. Her work in deep learning for security event detection enhances smart grid protection. She also specializes in protocol security, AI-driven attack mitigation, and operational technology (OT) cybersecurity. Through machine learning, threat modeling, and real-time testing, her research aims to fortify modern power infrastructures against evolving cyber threats. 🛰️🔐⚙️

📖 Publication Top Notes

  1. Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation
    • Citations: 11
    • Year: 2022
  2. Planning of Renewable DGs for Distribution Network Considering Load Model: A Multi-Objective Approach
    • Citations: 9
    • Year: 2014
  1. Designing a Controller Circuit for Three-Phase Inverter in PV Application
    • Citations: 6
    • Year: 2018
  2. Digital Substations with the IEC 61850 Standard
    • Citations: 3
    • Year: 2021
  3. Power Quality Improvement of Grid Integrated Distributed Energy Resource Inverter
    • Citations: 2
    • Year: 2021

 

Dr. KALYANI RADHA K | Modeling & Simulation | Best Researcher Award

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Dr. Kalyani Radha K | Modeling & Simulation | Best Researcher Award

Dr. Kalyani Radha K | Mechanical Engineering, JNTUA College of Engineering | India

Dr. K. Kalyani Radha is an Associate Professor in Mechanical Engineering at JNTUA College of Engineering, Ananthapuramu, India. With over 15 years of teaching experience, she specializes in Thermal Engineering, IC Engines, Heat Transfer, Refrigeration & Air Conditioning, CFD, and Modeling & Simulation. She has mentored multiple Ph.D. scholars and currently supervises several research projects. As a Principal Investigator, she leads a SERB SURE-funded project on a solar-powered mechanized vehicle for defense applications. Beyond academics, Dr. Radha is actively involved in administrative roles, student associations, and research initiatives, making significant contributions to mechanical engineering. 🚀🔬

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Dr. K. Kalyani Radha is a strong candidate for the Best Researcher Award due to her extensive contributions to Mechanical Engineering, particularly in Thermal Engineering, IC Engines, Heat Transfer, Refrigeration & Air Conditioning, Computational Fluid Dynamics (CFD), and Modeling & Simulation. With over 15 years of teaching experience, she has shaped the next generation of engineers and researchers through mentorship and academic leadership.

🎓 Education & Experience

  • B.E. (Mechanical Engineering) 🏗️ – CBIT (OU), Hyderabad
  • M.Tech (Refrigeration & Air Conditioning) ❄️ – JNTUACE, Anantapur
  • Ph.D. (Mechanical Engineering) 🎓 – IST, JNTU, Hyderabad
  • Teaching Experience 📚 – 15 years in academia
  • Research Supervision 🏆 – 1 Ph.D. completed, 3 ongoing
  • Principal Investigator 🔍 – SERB SURE-funded project on mechanized vehicle for defense applications

📈 Professional Development

Dr. K. Kalyani Radha has played a crucial role in mechanical engineering research and education. As a Ph.D. mentor, she has guided scholars in thermal management, refrigeration, and IC engine performance optimization. She has published 74 international journal papers, focusing on energy efficiency, alternative fuels, and heat transfer enhancements. She serves as a BOS Chairman at JNTUA and actively participates in IQAC, student associations, and placement coordination. Dr. Radha has also contributed to entrepreneurship development and served as a Deputy Controller of Examinations, showcasing her leadership in academic administration. 🏅📖🔬

🔬 Research Focus

Dr. K. Kalyani Radha’s research spans Thermal Engineering, IC Engines, Heat Transfer, Refrigeration & Air Conditioning, Computational Fluid Dynamics (CFD), and Modeling & Simulation. Her studies focus on alternative fuels, energy-efficient refrigeration systems, and heat transfer enhancement techniques. She has worked extensively on low heat rejection engines, vegetable oil-based fuels, and solar energy applications. Additionally, she leads experimental investigations on lithium battery thermal management and vapor compression refrigeration system optimization. Through her work, she aims to develop sustainable energy solutions and advanced cooling systems, benefiting both automotive and defense sectors. 🌱⚙️🔥❄️

🏆 Awards & Honors

  • Principal Investigator 🏅 – SERB SURE-funded project (₹11,90,750)
  • BOS Chairman 🎓 – JNTUA College of Engineering, Ananthapuramu
  • Published 74 International Journals 📖 – Contributions to thermal engineering & alternative fuels
  • Deputy Warden & Placement Officer 🏫 – JNTUA Shilpa Hostel & Mechanical Engg. Dept.
  • ISTE Coordinator 🏆 – Led student chapters & development programs
  • Deputy Controller of Examinations 🏅 – Oversaw academic assessments

Publication Top Notes:

🔥 Enhancement of heat transfer using varying width twisted tape inserts – SN Sarada, AVSR Raju, KK Radha, LS Sunder | International Journal of Engineering, Science and Technology 2 (6) | 📖 225 citations |
⚙️ Optimization of injection pressure for a compression ignition engine with cotton seed oil as an alternate fuel – SN Sarada, M Shailaja, AVSR Raju, KK Radha | International Journal of Engineering, Science and Technology 2 (6) | 📖 49 citations |
🔥 Experimental investigations in a circular tube to enhance turbulent heat transfer using mesh inserts – S Naga Sarada, KK Radha, AVS Raju | ARPN Journal of Engineering and Applied Sciences 4 (5), 53-60 | 📖 38 citations |
🚗 Performance and emission characteristics of CI engine operated on vegetable oils as alternate fuels – KK Radha, SN Sarada, K Rajagopal, EL Nagesh | International Journal of Automotive and Mechanical Engineering 4, 414-427 | 📖 36 citations |
🌿 Performance and emission of VCR-CI engine with palm kernel and eucalyptus blends – BN Banoth, KR Kadavakollu | Perspectives in Science 8, 195-197 | 📖 24 citations |

 

 

 

 

Mr. Feng Wang | Computational Analysis | Best Researcher Award

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Mr. Feng Wang | Computational Analysis | Best Researcher Award

Mr. Feng Wang, China Three Gorges University, China

Mr. Feng Wang is an Associate Professor at China Three Gorges University, specializing in bridge and tunnel engineering. With a Ph.D. from Wuhan University of Technology, he has conducted groundbreaking research on nonlinear dynamic responses of long-span cable structures. His work has been applied in major engineering projects, contributing significantly to seismic design and wind/ice resistance of overhead transmission lines. As a visiting scholar at The University of Queensland, he collaborated with leading experts to enhance computational analysis methods. With over 50 academic publications and 60 patents, Mr. Wang’s contributions have had a lasting impact on structural engineering. His interdisciplinary approach integrates AI-driven assessment models, vibration suppression techniques, and disaster protection strategies, making him a leader in modern civil engineering. Recognized with multiple teaching awards, he continues to mentor young engineers while advancing critical infrastructure development. 🚀🏗️

🌏 Professional Profile

Orcid

🏆 Suitability for Best Researcher Award 

Mr. Feng Wang is a highly accomplished researcher whose work in structural engineering has led to significant advancements in bridge safety, vibration control, and AI-driven assessment models. His contributions address critical engineering challenges, including dynamic catastrophe protection and seismic resistance for large-scale structures. Having led and participated in over 30 research projects funded by prestigious organizations, he has demonstrated exceptional expertise and innovation. His 50+ publications in high-impact journals, 60 patents, and multiple software copyrights reflect his leadership in applied research. His work aligns with global infrastructure development strategies, including the Belt and Road Initiative. Additionally, his recognition as an “Excellent Instructor” underscores his dedication to academia. Mr. Wang’s research not only pushes theoretical boundaries but also translates into real-world applications, making him an outstanding candidate for the Best Researcher Award. 🏅🔬

📚 Education

  • Ph.D. in Bridge and Tunnel Engineering (2007–2010) – Wuhan University of Technology 🎓

    • Dissertation: “Geometric Nonlinear Analysis of Long-Span Three-Tower Composite Girder Cable-Stayed Bridges”
    • Awarded Outstanding PhD Dissertation Award
    • Supervised by Prof. Liu Muyu, Director of the Hubei Provincial Key Laboratory of Road and Bridge Engineering

  • Visiting Scholar (2019–2020) – The University of Queensland, Australia 🌏

    • Fully funded by the China Scholarship Council
    • Collaborated with Prof. Chien Ming Wang on nonlinear dynamics of long-span cable structures

His education provided a strong foundation in computational mechanics, structural stability, and interdisciplinary engineering applications, enabling his impactful research in bridge safety and AI-driven assessment methods. 🎓📖

👨‍🔬 Experience 

  • Associate Professor, China Three Gorges University (2015–Present) 🏗️

    • Conducts research in bridge engineering, computational analysis, and AI-driven infrastructure assessment
    • Supervises Master’s students in civil and electrical engineering

  • Lecturer, China Three Gorges University (2011–2015) 📚

    • Promoted to Associate Professor in 2015

  • Assistant Engineer, China Communications Construction Company (2002–2004) 🚧

    • Worked on highway base and surface construction

  • Visiting Researcher, The University of Queensland (2019–2020) 🌏

    • Specialized in long-span cable structure dynamics

With over two decades of experience in academia and industry, Mr. Wang has contributed to major engineering projects and advanced computational methods in structural analysis. 🔍🏗️

🏅 Awards and Honors

  • Outstanding PhD Dissertation Award (2010) – Wuhan University of Technology 🎓🏆
  • Excellent Instructor Award (2014, 2017, 2018) – “Gaojiao Cup” National College Students’ Advanced Drawing Technology Competition 🏅👨‍🏫
  • National Natural Science Foundation of China (NSFC) Grant Recipient – Led multiple funded research projects 💰🔬
  • China Scholarship Council Award (2019–2020) – Fully funded visiting scholar at The University of Queensland 🇨🇳🌏
  • 60+ Patents & 5 Software Copyrights – Innovations in bridge engineering, AI models, and disaster protection 🏗️💡

Mr. Wang’s recognitions highlight his research excellence, innovation, and contributions to structural engineering and education. 🌟🎖️

🔬 Research Focus 

Mr. Feng Wang’s research revolves around computational structural analysis, AI-driven assessment models, and disaster protection technologies for large-scale infrastructure. His work in geometric nonlinear analysis enhances bridge safety and longevity, while his vibration suppression techniques improve the stability of ultra-long stay cables. He has pioneered AI-based models to assess bridge components, ensuring optimal maintenance and damage prevention. His research extends to dynamic catastrophe protection, helping safeguard overhead transmission lines from extreme environmental conditions. 🌉💡

By integrating Big Data Analytics, AI, and engineering mechanics, he develops predictive models that optimize bridge resilience. His interdisciplinary approach aligns with China’s Belt and Road Initiative, focusing on sustainable infrastructure. His contributions advance both fundamental research and practical applications, making a lasting impact on structural engineering. 🏗️🔍

Publication Top Notes:

Title : Coupled Parametric Vibration Model and Response Analysis of Single Beam and Double Cable Under Deterministic Harmonic and Random Excitation
Published Year : 2024

 

 

 

Dr. Bhargavi D | Computational Awards | Best Researcher Award

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Dr. Bhargavi D | Computational Awards | Best Researcher Award

Dr. Bhargavi D , NITW , India

Dr. D. Bhargavi is an esteemed Associate Professor in the Department of Mathematics at the National Institute of Technology (NIT) Warangal. She completed her Ph.D. in Fluid Mechanics and Numerical Heat Transfer from IIT Kharagpur, under the guidance of Prof. V. V. Satyamurty. Her doctoral thesis focused on forced convection heat transfer with viscous dissipation in parallel plate channels partially filled with porous material. Dr. Bhargavi holds an M.Sc. in Applied Mathematics from the University of Hyderabad and has a solid academic foundation, having consistently achieved first-class honors throughout her educational journey. She has extensive teaching experience, beginning as an NBHM Post Doctoral Fellow at CMMACS, NAL Belur Campus, Bangalore, before serving as an Assistant Professor at NIT Warangal from 2012 to 2022. In July 2023, she was promoted to Associate Professor at the same institution. Dr. Bhargavi’s professional interests lie in teaching and research, with technical expertise in operating systems like Windows and Linux, and programming languages such as Fortran 95 and Python. She has taught a wide range of undergraduate and postgraduate courses, including Numerical Solution of Differential Equations, Complex Analysis, and Probability, Statistics, and Queuing Theory.

Professional Profile:

Google Scholar

🎓Education :

Dr. D. Bhargavi is an Associate Professor in the Department of Mathematics at the National Institute of Technology (NIT) Warangal. She earned her Ph.D. in Fluid Mechanics and Numerical Heat Transfer from IIT Kharagpur, focusing on forced convection heat transfer with viscous dissipation in parallel plate channels partially filled with porous material. Prior to her doctoral studies, she completed an M.Sc. in Applied Mathematics at the University of Hyderabad.Dr. Bhargavi has a robust academic career, starting as an NBHM Post Doctoral Fellow at CMMACS, NAL Belur Campus, Bangalore. She later served as an Assistant Professor at NIT Warangal from 2012 to 2022, advancing to Associate Professor in July 2023.

🏢Professional Experience:

Her professional interests encompass teaching and research, with expertise in operating systems like Windows and Linux, and programming languages such as Fortran 95 and Python. She has taught various undergraduate and postgraduate courses, including Numerical Solution of Differential Equations, Complex Analysis, and Probability, Statistics, and Queuing Theory.

Publication Top Notes: