Rounak Raman | Information Technology | Young Scientist Award

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Mr. Rounak Raman | Information Technology | Young Scientist Award

Netaji Subhas University of Technology | India

Mr. Rounak Raman research journey reflects a diverse and impactful engagement across multidisciplinary domains including Artificial Intelligence, Wireless Sensor Networks, IoT Security, and Neuroinformatics. At the forefront of innovation, multiple projects demonstrate a strong alignment with real-world challenges and technical excellence. The development of the EEG Data Analysis System and multimodal neurofeedback loop underlines expertise in biomedical signal processing and applied AI for cognitive enhancement, contributing to measurable improvements in attentiveness and engagement. In IoT and network optimization, the implementation of the Energy Aware Hybrid Clustering Protocol (EAHCP) showcased advancements in energy-efficient communication, achieving notable performance gains in scalability and mobility management. Research on secure IoT frameworks, such as the Hierarchical Key Rotation and Isolation Protocol (HKRISRP), reinforced resilience in wireless networks through lightweight cryptography and dynamic key rotation, enhancing both security and energy performance. Additional contributions in opportunistic networks introduced context-aware, trust-based, and collision-avoidant models that optimized data aggregation and reliability through intelligent decision mechanisms and trajectory optimization. The pursuit of Generative AI culminated in the development of SyntheX, a document analysis system integrating semantic search and transcription models to streamline enterprise knowledge management. Collectively, these works exemplify a strong commitment to advancing applied research in AI, cybersecurity, and intelligent network systems

Featured Publication

Raman, R., Yadav, A., Kukreja, D., & Sharma, D. K. (2025). CONTEXT-NET: A context-aware nexus-based aggregation protocol for opportunistic networks. Internet of Things, 25, 101809. https://doi.org/10.1016/j.iot.2025.101809

Sharmila More | Machine Learning | Women Researcher Award

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Dr. Sharmila More | Machine Learning | Women Researcher Award

MIT Arts, Commerce & Science College| India

Dr. Sharmila More is an accomplished academician and researcher, currently serving as Assistant Professor in the Department of Science and Computer Science at MIT ACSC, Alandi (D), Pune. With over nine years of teaching and administrative experience, along with eight years of dedicated research expertise, she has significantly contributed to the fields of computer science, data science, cyber security, and artificial intelligence. She holds a Ph.D. in Computer Science from MATS University, Raipur, an MCA from Pune University, and a Postgraduate Diploma in Core Competency from Shivaji University. Dr. More has published 18 research papers in reputed journals, presented 20 papers at national and international conferences, and authored a book titled Solving Security Issues in Personal Identification using Fuzzy Approach and Multimodal Images. She has also guided several students in research and academic projects. Her innovations are reflected in multiple patents, including an Indian patent at the FER stage, one design patent, and granted patents in Australia, Germany, and the UK. She is actively engaged in academic committees, curriculum development under the NEP framework, and serves as an editorial board member for journals. Her professional memberships include the Computer Society of India, Indian Science Congress Association, and Soft Computing Research Society. Recognized for her excellence, she has received prestigious honors such as the International Research Excellence Awards for Outstanding Researcher and Distinguished Researcher, Best Teacher Award, and multiple prizes at research competitions. A sought-after resource person and reviewer, she has delivered expert lectures and contributed as co-supervisor and examiner for Ph.D. programs. Her citation index stands at 67, reflecting her impactful scholarship. Dr. More continues to advance interdisciplinary research in computer science, focusing on biometric systems, machine learning, cryptography, and emerging technologies, while inspiring future scholars through teaching, mentorship, and innovation.

Profile: Google Scholar

Featured Publications

More, S. S. (2025). Revolutionizing military operations: The role of deep learning with YOLO v7 in the evolution of drones. Advancements in Intelligent Systems, 33–43. Computing & Intelligent Systems.

More, S. S. (2024). Pythonic learning: Advancements and innovations in machine intelligence. International Journal of Advanced Research in Science, Communication and Technology.

More, S. S. (2023). Statistical and fuzzy inference system analysis of multimodal. Solovyov Studies ISPU.

More, S. S. (2023). Statistical and fuzzy inference system analysis of multimodal images using NMRSA. Solovyov Studies ISPU, 71(11), 122–127.

More, S., Narain, B., & Jadhav, B. T. (2023). Privacy conserving using fuzzy approach and blowfish algorithm for malicious personal identification. In Institute of Engineering (pp. xx–xx). Springer.

 

Pawan Kumar Patidar | Machine Learning | Young Scientist Award

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Mr. Pawan Kumar Patidar | Machine Learning | Young Scientist Award

Swami Keshvanand Institute of Technology, Management and Gramothan | India

Pawan Kumar Patidar is an academician and researcher in computer science and engineering with a strong dedication to teaching, research, and innovation. Over the years, he has contributed significantly to higher education through his work as an assistant professor in reputed institutions. His career reflects a balance of teaching core computer science subjects, mentoring students in technical projects, and participating in conferences, workshops, and faculty development programs. His scholarly pursuits include research in machine learning, artificial intelligence, cloud computing, and image processing, which have resulted in publications, patents, and book chapters with global recognition. Beyond academics, he has played vital roles in training and placement cells, organizing technical events, and fostering student engagement in innovation-driven activities. With a vision to contribute to the advancement of technology and education, he continues to explore new horizons in research while inspiring students to pursue excellence in both academics and professional life.

Profile

Google Scholar

Education 

Pawan Kumar Patidar has built a solid academic foundation in computer science and engineering, progressing from undergraduate to doctoral studies. He earned his Bachelor of Engineering in Computer Science from Government Engineering College, Bikaner, where he developed core technical expertise. Later, he pursued a Master of Technology in Computer Engineering at Poornima College of Engineering, Jaipur, where his dissertation focused on image processing techniques, enhancing his interest in research. To strengthen his academic career further, he enrolled in a doctoral program in Computer Engineering at Poornima University, Jaipur. His Ph.D. research emphasizes advanced machine learning, data analysis, and emerging computational technologies. Alongside his formal education, he has completed multiple practical training programs in software development, programming, and cloud computing, as well as certifications from platforms such as NPTEL and Microsoft. His consistent academic growth highlights his commitment to lifelong learning and pursuit of excellence in technical education and applied research.

Experience 

Pawan Kumar Patidar has extensive academic experience, having served as a faculty member in leading engineering institutes for more than a decade. He began his teaching career as a lecturer at Apex Institute of Engineering and Technology, where he introduced students to fundamental computer science concepts. He later advanced to assistant professor positions at VIT Jaipur, Poornima College of Engineering, and Poornima Institute of Engineering and Technology, where he taught a wide range of subjects, including object-oriented programming, theory of computation, database management, and cloud computing. At present, he is associated with Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, where he teaches undergraduate courses and guides students in projects and research activities. Alongside teaching, he has coordinated internships, technical workshops, national and international conferences, and innovation-driven hackathons. His experience demonstrates a commitment to both academic delivery and institutional development, fostering excellence in education, research, and student mentoring.

Awards and Honors 

Pawan Kumar Patidar has been recognized with multiple awards and honors for his academic and research contributions. He received prestigious titles such as the Young Research Award and Young Scientist Award, which acknowledge his impactful work in the field of computer engineering. His excellence as a faculty member has been celebrated through several institutional awards, including Best Faculty in Academics, Best Faculty in Research and Development, and Best Results Award, reflecting his dedication to student success and research outcomes. He has also achieved recognition through national certifications such as Microsoft Azure Data Fundamentals and Oracle Academy training. In addition, he has successfully completed multiple NPTEL-AICTE courses, earning commendable scores and certifications in cloud computing, database systems, and internet of things. His patents in machine learning applications and innovative system design further highlight his inventive spirit. Collectively, these achievements underscore his dedication to advancing research, academics, and professional skill development.

Research Focus 

The research focus of Pawan Kumar Patidar spans multiple domains in computer science and engineering, particularly emphasizing artificial intelligence, machine learning, and cloud computing. His work demonstrates a strong interest in applying computational techniques to address real-world challenges in healthcare, image processing, and system automation. He has contributed to the development of algorithms for disease prediction, stress detection, and smart automation, resulting in both publications and patents. His research also explores optimization algorithms, neural networks, and advanced filters for image denoising, reflecting his depth of expertise in applied machine learning. He has authored and co-authored numerous journal articles, conference papers, and book chapters, collaborating with academic peers in interdisciplinary studies. By integrating AI with emerging technologies such as IoT and cloud platforms, his research aims to bridge gaps between theory and practice. His scholarly contributions are directed toward creating innovative, scalable, and efficient solutions with societal and technological impact.

Publications

  • Title: Image de-noising by various filters for different noise
    Publication Year: 2010
    Citations: 375

  • Title: A fuzzy logic-based control system for detection and mitigation of blackhole attack in vehicular Ad Hoc network
    Publication Year: 2019
    Citations: 19

  • Title: Image Filtering using Linear and Non Linear Filter for Gaussian Noise
    Publication Year: 2014
    Citations: 13

  • Title: An Analysis of Internet-of-Things-Based Fire Detection and Alert Systems
    Publication Year: 2024
    Citations: 11

  • Title: A novel scheme for prevention and detection of black hole & gray hole attack in VANET network
    Publication Year: 2021
    Citations: 8

Conclusion

Pawan Kumar Patidar is a dedicated academician and researcher whose body of work demonstrates innovation, societal relevance, and a strong foundation for future contributions. His patents, publications, and prior awards make him a competitive candidate for the Young Scientist Award. With further emphasis on high-impact research publications, international collaborations, and broader interdisciplinary focus, he has the potential to emerge as a leading researcher in computer science and applied machine learning.

Lakmini Prarthana Jayasinghe | Data Science | Best Researcher Award

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Dr Lakmini Prarthana Jayasinghe | Data Science | Best Researcher Award

Researcher, University of Southern Queensland, Australia 🌟

Lakmini Mudiyanselage is a dedicated researcher and academic with a passion for data science and artificial intelligence, specializing in hydrological forecasting and environmental applications. Based in Toowoomba, Queensland, she leverages her expertise to develop predictive models that address critical climate challenges in Australia, particularly in drought-prone regions. With a Ph.D. in Artificial Intelligence and a background in mathematics, Lakmini is committed to advancing scientific research through innovative data-driven methodologies and deep learning techniques.

Profile

Scopus

Education 🎓

Lakmini Mudiyanselage has a solid academic foundation marked by her advanced studies in artificial intelligence and mathematics. She earned her Doctor of Philosophy in Artificial Intelligence from the University of Southern Queensland in 2023, where she focused on cutting-edge AI applications to solve environmental challenges. Prior to this, she completed a Master of Philosophy in Mathematics in 2014 and a Bachelor of Science in Mathematics in 2008, both from the University of Kelaniya. This extensive background in mathematics and AI equips Lakmini with the analytical and computational skills needed to contribute significantly to data science and environmental studies, enabling her to develop sophisticated predictive models and insights that address critical climate issues.

Experience 🧑‍🏫

Researcher | UniSQ Advanced Data Analytic Lab (2020 – Present)
Lakmini leads efforts in predictive model development for hydrological parameters, working with extensive climate datasets to advance environmental forecasting. Her work has attracted significant funding and collaborative support, demonstrating her impact on hydrological research.

Senior Lecturer in Mathematical Sciences | Wayamba University of Sri Lanka (2010 – 2020)
In her decade-long academic career, Lakmini contributed to curriculum development and student mentorship. She also supervised student research and served as Acting Head of the Department, guiding students in mathematical modeling and AI-driven solutions.

Research Interest 🔍

Lakmini’s research focuses on leveraging artificial intelligence for environmental forecasting, with special attention to climate and hydrological data modeling. Her projects utilize hybrid machine learning models, such as Long Short-Term Memory networks, to enhance predictions related to evaporation, soil moisture, and evapotranspiration in regions affected by climate variability.

Awards 🏆

Lakmini Mudiyanselage has been honored with prestigious awards that reflect her academic excellence and research contributions. In 2023, she received the Award of Excellence in Doctoral Research from the University of Southern Queensland, recognizing her achievement of the highest possible result in her doctoral research examination. Earlier, in 2008, she was awarded the Physical Science Award in Mathematics by the Sri Lanka Association for the Advancement of Science for her groundbreaking work on confluent hypergeometric differential equations. These accolades underscore her dedication to advancing mathematical and AI-driven research, particularly in fields with impactful applications.

Publications 📚

“Development and Evaluation of Hybrid Deep Learning Long Short-Term Memory Network Model for Pan Evaporation Estimation” – Journal of Hydrology, 2022
Read here
Cited by multiple research articles examining predictive environmental modeling.

“Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated with Boruta-Random Forest Algorithm” – IEEE Access, 2021
Read here
Referenced in studies focused on data-driven environmental predictions.

“Forecasting Multi-Step Soil Moisture with Three-Phase Hybrid Wavelet-Least Absolute Shrinkage Selection Operator-Long Short-Term Memory Network (moDWT-Lasso-LSTM) Model” – MDPI Water, 2023
Read here
Influential in soil moisture forecasting literature and widely cited in AI-based hydrological research.

Conclusion

Lakmini Mudiyanselage is an exceptional candidate for the Best Researcher Award. Her groundbreaking work in artificial intelligence and environmental data science addresses pressing global challenges, and her commitment to academic mentorship further underscores her dedication to scientific advancement and community service. Her accomplishments align well with the award’s objectives, making her highly deserving of this recognition.

PRAVEENA VASUDEVAN | Machine Learning |Best Researcher Award

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Mrs. PRAVEENA VASUDEVAN | Machine Learning | Best Researcher Award

Mrs  at SRM INSTITUTE OF SCIENCE & TECHNOLOGY, RAMAPURAM CAMPUS, CHENNAI India

V. Praveena is a dedicated Assistant Professor with over 14 years of teaching experience in VLSI Design, Electronics, and Computer Science. She holds an M.Tech in VLSI Design from BIHER, Chennai, and has consistently achieved outstanding academic results, including a 100% pass rate in various subjects. She has a strong background in mentoring students, organizing workshops, and coordinating placements, contributing to a 100% placement record in her department. With a passion for research, she has published papers in SCOPUS-indexed journals and guided innovative student projects, demonstrating her commitment to excellence in education and academic development.

Profile

Orcid

 

Objective:

Dedicated and ambitious professional seeking to leverage skills in electronics and VLSI design in a challenging academic or corporate environment.

Academic Background:

M.Tech in VLSI Design Barath Institute of Higher Education and Research (BIHER), Chennai (2006) CGPA: 7.7. B.E. in Electronics & Instrumentation Engineering Madras University, Easwari Engineering College, Chennai (2002) Percentage: 70%

Professional Experience:

Assistant Professor (Selection Grade), SRM University, Ramapuram Campus June 2010 – December 2017 | June 2019 – Present Over 9 years of teaching experience, mentoring, and coordinating academic activities.. Senior Lecturer, Sri Muthukumaran Institute of Technology
July 2006 – April 2010. Lecturer, Sree Sastha Institute of Technology & Easwari Engineering College Various positions held in 2006, gaining early teaching experience. New Product Design & Development Engineer, M/S Ram Says Corporation 1.5 years of industrial experience in product design and development.

Achievements:

Achieved 100% pass rates in several subjects, organized workshops, and received accolades for student project guidance. Published several papers in Scopus-indexed journals and presented at national and international conferences. Successfully coordinated placement activities, achieving a consistent 100% placement record in the CSE department.

Skills:

Programming Languages: C, C++ Programming, HDL, Software Proficiency: Xilinx, SPICE, MS Office

Research Interests:

VLSI Design, Context-aware applications, Secure data sharing, Cloud storage, and Emergency vehicle management systems.

🏆 Strengths for the Award:

Extensive Teaching and Research Experience: With over 14 years of teaching experience and a strong background in VLSI Design, V. Praveena has demonstrated a deep commitment to academic excellence. Her role as an Assistant Professor at SRM University showcases her ability to guide and mentor students effectively. High Success Rate in Teaching: Achieving 100% pass rates in multiple courses across different departments highlights her teaching effectiveness and dedication to student success. Published Research and Conference Participation: Praveena has published several papers in Scopus-indexed journals and presented at international conferences. Her research contributions in the areas of secure computing, cloud storage, and mobile-healthcare emergencies indicate a strong focus on impactful and relevant topics. Leadership and Initiative: She has taken on additional responsibilities, such as being an academic auditor, admission coordinator, and member of the Women’s Grievance Cell. These roles demonstrate her leadership capabilities and commitment to improving the academic environment. Project Guidance and Innovation: Guiding students to develop award-winning projects, including an innovative Android application for student assistance, reflects her ability to inspire and lead innovative research. Industry Collaboration: Her efforts in guiding projects with industry partners, such as M/S. SOLVEDGE, show her ability to bridge the gap between academia and industry, which is crucial for impactful research.

🔧 Areas for Improvement:

Expansion of Research Focus: While her research has been impactful, there could be an opportunity to diversify into more interdisciplinary areas or emerging fields to broaden her research portfolio. Increased Publication in High-Impact Journals: Although she has several publications, aiming for more papers in high-impact journals could further solidify her reputation as a leading researcher. Grant Acquisition: There is no mention of successful grant applications. Securing research funding is essential for sustaining long-term research projects, and focusing on this could enhance her research impact. Public Engagement and Outreach: Increasing her engagement with the broader community, such as through public lectures, workshops, or media appearances, could help disseminate her research findings to a wider audience. International Collaboration: While she has participated in international conferences, forming collaborations with international researchers or institutions could provide new perspectives and enhance the quality and visibility of her work.

 

📚  Publications

  1. Title: Context Aware App Recommendation and Delivery using Decision Support Systems
    • Journal: Indian Journal of Science and Technology
    • Date: June 1, 2016
    • Type: Journal article

 

  1. Title: A Novel And Effective Auditing Approach To Store And Retrieve Reliable Data In Cloud Storage
    • Journal: International Journal of Emerging Technology in Computer Science & Electronics
    • Date: April 2016
    • Type: Journal article

 

  1. Title: Proficient data sharing using Forward Secure ID-based Ring Signature and handling access control using ABE
    • Journal: International Journal of Emerging Technology in Computer Science & Electronics
    • Date: April 1, 2016
    • Type: Journal article

 

  1. Title: Location-Aware and Safer Cards: Enhancing Kerberos Authentication Along With Attribute Based Encryption
    • Journal: International Journal of Applied Engineering Research
    • Date: 2015
    • Type: Journal article

 

  1. Title: EFFICIENT ACCIDENT DETECTION AND RESCUE SYSTEM USING ABEONA ALGORITHM
    • Journal: International Journal of Emerging Trends & Technology in Computer Science
    • Date: October 2014
    • Type: Journal article

 

  1. Title: A SECURE AND CONFIDENTIALITY STRATEGIC COMPUTING ORGANIZATION FOR MOBILE-HEALTHCARE EMERGENCY
    • Journal: International Journal of Computer Science and Mobile Computing
    • Date: March 2014
    • Type: Journal article

 

  1. Title: Framework for Ease Maneuver of on Road Emergency Vehicles: Using Mobile Sink
    • Journal: International Journal of Innovative Research in Computer and Communication Engineering
    • Date: March 2014
    • Type: Journal article

📝 Conclusion:

V. Praveena is a strong candidate for the Best Researcher Award due to her extensive teaching experience, successful student mentorship, leadership in academic roles, and notable research contributions. Her ability to guide students towards innovative projects and her involvement in various academic responsibilities highlight her as a well-rounded academic professional.

However, to further strengthen her candidacy, focusing on expanding her research into interdisciplinary areas, increasing her publication output in high-impact journals, and securing research grants could enhance her research profile even more. Overall, her dedication to academic excellence and her contributions to both teaching and research make her a deserving candidate for the award.