Padmini Sankaramurthy | Energy | Research Excellence Award

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Dr. Padmini Sankaramurthy | Energy | Research Excellence Award

SRM Institute of Science and Technology | India

Dr. S. Padmini is an accomplished academic and researcher with a strong foundation in Electrical and Electronics Engineering, advanced training in Power Systems Engineering, and doctoral work centered on intelligent algorithms for hydrothermal scheduling, further strengthened by an ongoing postdoctoral fellowship in multidisciplinary AI applications. With extensive teaching and research experience in a premier institution, she has contributed significantly to curriculum development, research supervision, academic leadership, and large-scale institutional activities. Her scholarly output includes publications indexed in major databases, patents, major project proposals, international collaborations, and diverse technical contributions across intelligent systems, power systems optimization, energy economics, and AI-driven engineering solutions. She has delivered numerous courses, created substantial digital learning resources, and guided students at multiple academic levels. Her research has earned citations totalling 341, along with an h-index of 10 and an i10-index of 10, demonstrating meaningful global impact. She is recognized for excellence through multiple awards, including distinguished scientific honours, innovation-driven recognitions, and accolades for academic contributions. Her ongoing collaborations across global universities reflect her commitment to advancing multidisciplinary research. Dr. Padmini’s work continues to integrate engineering intelligence, sustainable energy solutions, and advanced computational methods to support emerging technological needs and societal progress.

Profiles: Google Scholar | Orcid | Scopus

Featured Publication

Jeevadason, A. W., Padmini, S., Bharatiraja, C., & Kabeel, A. E. (2022). A review on diverse combinations and Energy-Exergy-Economics (3E) of hybrid solar still desalination. Desalination, 527, 115587.

Rebecca, B., Kumar, K. P. M., Padmini, S., Srivastava, B. K., Halder, S., & Boopathi, S. (2024). Convergence of Data Science-AI-Green Chemistry-Affordable Medicine: Transforming Drug Discovery. In Handbook of Research on AI and ML for Intelligent Machines and Systems (pp. 348–373).

Venkatesh, B., Sankaramurthy, P., Chokkalingam, B., & Mihet-Popa, L. (2022). Managing the demand in a micro grid based on load shifting with controllable devices using hybrid WFS2ACSO technique. Energies, 15(3), 790.

Lakshmi, K., Amaran, S., Subbulakshmi, G., Padmini, S., Joshi, G. P., & Cho, W. (2025). Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images. Scientific Reports, 15(1), 690.

Sankaramurthy, P., Chokkalingam, B., Padmanaban, S., Leonowicz, Z., … Padmini, S. (2019). Rescheduling of generators with pumped hydro storage units to relieve congestion incorporating flower pollination optimization. Energies, 12(8), 1477.

Archana Mohan | Electronics Engineering | Research Excellence Award

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Mrs. Archana Mohan | Electronics Engineering | Research Excellence Award

Amrita Vishwa Vidyapeetham | India

Archana Mohan is a dedicated researcher and academician in Electrical and Electronics Engineering, currently pursuing her doctoral studies with a strong focus on power systems, e-mobility, and intelligent control applications. With a solid educational background spanning engineering, power systems, and management studies, she has built interdisciplinary expertise that strengthens her analytical and problem-solving capabilities. Her professional experience includes serving as a Teaching Assistant and Research Assistant in advanced laboratories related to power systems, robotics, embedded systems, autonomous systems, and electric vehicles, where she mentors students, develops experimental setups, and contributes to project execution. Her research contributions span transient stability modeling, hybrid electric vehicle architectures, V2X communication, state-of-charge estimation, air-quality integrated mobility systems, and optimization using AI-based techniques. She has authored multiple publications indexed in reputed databases with 19 citations, an h-index of 3, and i10-index of 0, reflecting the growing impact of her work. Her involvement in international conferences and journal publications highlights her active engagement with the global research community. She has also contributed to academic quality initiatives and technical events while earning recognition for her academic excellence and active participation. Her research interests continue to evolve toward sustainable mobility, intelligent power systems, and data-driven engineering solutions.

Profile: Google Scholar

Featured Publications

Mohan, A., & Manitha, P. V. (n.d.). Hybrid Electric Vehicles with V2X Topology and Smart Energy Management: An Overview of Their Potential and Limitations. In 2nd International Conference on Futuristic Technologies (INCOFT).

Mohan, A., & Vidya, M. S. (n.d.). Artificial Neural Network Model of an IEEE 5 Bus System under Transient Conditions. In Third International Conference on Smart Systems and Inventive Technology.

Mohan, A., Avinash, R., Manitha, P. V., & Deepa, K. (n.d.). The Impact of PID Controllers on the Performance of Electric Vehicle Speed Control and SoC. In IEEE North Karnataka Subsection Flagship International Conference (NKCon).

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). A comprehensive review on the integration of air quality monitoring systems with hybrid electric vehicles for emission control in smart cities. Science of the Total Environment, 994, 180022.

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). Comparative analysis of state of charge estimation methods for Li-ion batteries using Kalman filter variants and machine learning techniques for electric vehicle applications. IEEE Access.

Krishnakumar S | Engineering | Best Researcher Award

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Mr. Krishnakumar S | Engineering | Best Researcher Award

Sri Ramakrishna Engineering College, Coimbatore | India

S. Krishnakumar is an academician, researcher, and innovation mentor with expertise in robotics, automation, embedded systems, and artificial intelligence-driven medical imaging. He has contributed to advancing research in applied electronics while simultaneously guiding students through innovation and national-level hackathons. With multiple publications in reputed international journals and several patents to his credit, he has established himself as a committed contributor to both teaching and applied research. His career reflects a balance of academic instruction, research excellence, and innovation leadership, enabling students to explore interdisciplinary learning and practical applications of emerging technologies for societal development.

Professional Profiles

Orcid | Google Scholar

Education

S. Krishnakumar pursued his undergraduate studies in Electronics and Instrumentation Engineering, followed by a postgraduate degree in Applied Electronics from a leading engineering institution. His academic background provided him with a strong foundation in circuit design, instrumentation, automation, and advanced electronics. He has consistently built on this knowledge by engaging in research and publishing in high-impact journals. Currently, he is pursuing a doctoral degree in the field of medical image processing and artificial intelligence applications, where his research work focuses on developing efficient computational models for healthcare diagnostics and related applications, supported by academic rigor and innovation.

Professional Experience

Krishnakumar has served as an Assistant Professor in reputed engineering institutions, contributing to both teaching and research. He has taught courses in biomedical engineering, robotics, and automation, integrating practical applications with theoretical learning. Beyond classroom teaching, he has mentored students for major innovation competitions, including hackathons and national-level innovation challenges. His professional journey demonstrates a blend of academic instruction, research contribution, and mentoring for innovation and entrepreneurship. He has actively coordinated faculty development programs, technical workshops, and bootcamps, which have fostered creativity and critical thinking among students and faculty members across interdisciplinary domains.

Awards and Recognition

Throughout his academic and professional career, Krishnakumar has received recognition for his teaching, research, and mentoring excellence. He has participated in national and international conferences, presenting his research findings on automation, medical image analysis, and signal processing. His leadership in guiding students to success in national hackathons and innovation challenges has been acknowledged at institutional and government levels. He has also been recognized for his communication and debating skills in national-level events, earning accolades for his ability to inspire and engage audiences. His consistent achievements highlight his dedication to academic excellence and technological innovation.

Research Skills

Krishnakumar has strong research expertise in medical image analysis, artificial intelligence, robotics, and embedded systems. His work includes developing innovative computational models for disease diagnosis, advanced image processing techniques, and intelligent system design. He has published research in reputed Q1 and Q2 indexed journals and contributed to multiple patents that reflect practical solutions in automation, healthcare, and consumer technologies. His skills extend to tools such as MATLAB, LabVIEW, and LTspice, along with programming proficiency. His ability to integrate theoretical research with real-world applications has made significant contributions to the fields of applied electronics and biomedical engineering.

Notable Publications

Analysis of EEG signal for the estimation of concentration level of humans
Author: R Velnath, V Prabhu, S Krishnakumar
Journal: IOP Conference Series: Materials Science and Engineering 1084 (1), 012003
Year: 2021
Citations: 18

Review on sensor based colour sorting robot for candy manufacturing
Author: S Krishnakumar, K Sneha, A Reethika
Journal: IOP Conference Series: Materials Science and Engineering 1084 (1), 012094
Year: 2021
Citations: 6

RetNet30: A Novel Stacked Convolution Neural Network Model for Automated Retinal Disease Diagnosis
Author: K Subramaniam, A Naganathan
Journal: International Journal of Imaging Systems and Technology 34 (5), e23187
Year: 2024
Citations: 2

Enhancing retinal fundus image classification through active gradient deep convolutional neural network and red spider optimization
Author: K Subramaniam, A Naganathan
Journal: Neural Computing and Applications 36 (26), 16607-16619
Year: 2024
Citations: 2

RFLSR based Productive MBIST Architecutre for VLSI
Author: M Supriya, V Jayaraj, S Vinod, VU Maheswari, MA Raja, S Krishnakumar
Journal: 2022 Second International Conference on Advanced Technologies in Intelligent …
Year: 2022
Citations: 1

Conclusion

S. Krishnakumar represents a blend of educator, researcher, and innovator, with his career dedicated to advancing science, technology, and education. His contributions span across classroom teaching, impactful research, and mentorship for innovation-driven learning. He continues to work on interdisciplinary challenges that bridge electronics, automation, and healthcare applications, creating solutions with societal impact. His leadership in student innovation, national hackathons, and faculty training programs has fostered an ecosystem of learning and creativity. With a strong research profile, technical expertise, and passion for teaching, he remains committed to driving excellence in academia and applied technological advancements.

Bhaveshkumar Pasi | Engineering | Research Excellence Award

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Dr. Bhaveshkumar Pasi | Engineering | Research Excellence Award

Dr. Bhaveshkumar Pasi | Vishwaniketan’s Institute of Management Entrepreneurship & Engineering Technology | India

Dr. Bhaveshkumar N. Pasi is a highly accomplished academic and researcher in the field of Mechanical Engineering with a specialized focus on Industry 4.0 Technology Management. With more than a decade of teaching experience and significant industry exposure, he has established himself as an influential figure in both academia and research. His contributions span innovative research in intelligent manufacturing, sustainable development, and digital transformation. A prolific scholar with numerous awards and global recognitions, Dr. Pasi has also served as a reviewer and editorial board member for reputed journals. His work continues to impact the fields of engineering, technology, and management.

Professional Profile

Google Scholar | Scopus Profile

Education

Dr. Bhaveshkumar N. Pasi holds a Ph.D. in Technology – Mechanical Engineering from Sardar Patel College of Engineering, with his research focused on Industry 4.0 Technology Management. He also completed a Master’s degree in Mechanical Engineering with a specialization in Machine Design and a Bachelor’s degree in Mechanical Engineering from reputed institutions in Mumbai. In addition, he earned a diploma in Mechanical Engineering and is currently pursuing an MBA from Vellore Institute of Technology to strengthen his management expertise. His academic journey is marked by consistent excellence, laying a strong foundation for impactful contributions in research, teaching, and leadership.

Professional Experience

Dr. Bhaveshkumar N. Pasi has accumulated over ten years of teaching experience, serving as Head of Department and Associate Professor at Vishwaniketan’s Institute of Management, Entrepreneurship, and Engineering Technology (ViMEET). He has previously held faculty positions at institutions including CSMIT Panvel, LTCOE Koparkhairane, and PHCET Rasayani. In addition to his academic career, he gained two years of industry experience as a trainee engineer and design engineer intern with organizations such as SIEMENS Ltd. His global exposure includes post-doctoral research affiliation at Amity University Dubai and prestigious international research fellowships in Bulgaria, contributing to global advancements in Industry 4.0 and entrepreneurship.

Awards and Recognition

Dr. Bhaveshkumar N. Pasi has received numerous awards for his exceptional contributions to research and academia. He was recognized for one of the Top 10 Most-Cited Articles of 2023 by Wiley and secured multiple prizes in national and international competitions, including the CII National Six Sigma Competition and the MILCA Award. He was also honored as a Highly Cited Researcher in Intelligent Manufacturing and won the Young Achiever Award from the Institute of Scholars. His accolades include Best Research Paper Awards, Excellence in Research honors, and top ranks in research conventions. These awards highlight his impactful and innovative research.

Research Skills

Dr. Bhaveshkumar N. Pasi possesses strong expertise in Industry 4.0 Technology Management, intelligent manufacturing, and sustainable engineering practices. His skills encompass digital transformation, entrepreneurship, and technology-driven process innovation. He has successfully conducted interdisciplinary research, blending engineering with business and management studies, particularly through projects in automation, artificial intelligence, and higher education systems. As a reviewer for leading Scopus and Q-indexed journals, he contributes to maintaining high standards in global research. His ability to integrate industrial experience with academic insights enables him to address practical challenges with scholarly solutions. His research fosters innovation in both industry and academic ecosystems worldwide.

Conclusion

Dr. Bhaveshkumar N. Pasi stands as a distinguished scholar and educator whose contributions extend beyond traditional mechanical engineering into the evolving landscape of Industry 4.0 and digital transformation. With a strong record of teaching, research, and international collaborations, he continues to influence both academic and industrial sectors. His numerous awards and recognitions affirm his dedication to advancing knowledge and innovation. Through impactful research, global fellowships, and leadership roles, he exemplifies the qualities of a modern academic leader. With continued pursuit of excellence, he is well-positioned to make significant contributions to technological progress and societal development.

Notable Publications

The current sustainability scenario of Industry 4.0 enabling technologies in Indian manufacturing industries
Author: BN Pasi, SK Mahajan, SB Rane
Journal: International Journal of Productivity and Performance Management
Year: 2021
Citations: 81

Smart Supply Chain Management: A Perspective of Industry 4.0
Author: BN Pasi, SK Mahajan, SB Rane
Journal: International Journal of Advanced Science and Technology
Year: 2020
Citations: 68

Industry 5.0 and the future of sustainable manufacturing: A systematic literature review
Author: G Narkhede, B Pasi, N Rajhans, A Kulkarni
Journal: Business Strategy & Development
Year: 2023
Citations: 58

Industry 5.0 and sustainable manufacturing: a systematic literature review
Author: GB Narkhede, BN Pasi, N Rajhans, A Kulkarni
Journal: Benchmarking: An International Journal
Year: 2025
Citations: 33

Anubhava Srivastava | Engineering | Best Researcher Award

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Dr. Anubhava Srivastava | Engineering | Best Researcher Award

Sharda University, India

Author Profile

SCOPUS

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Anubhava Srivastava, embarked on his academic journey in Amethi, Uttar Pradesh, completing his Secondary and Higher Secondary education from GIC Sultanpur. He pursued B.Tech and M.Tech in Computer Science & Engineering from AKTU Lucknow, with his M.Tech thesis focusing on secure routing protocols in P2P networks. His scholarly progression culminated in a Ph.D. from RGIPT Jais, an Institute of National Importance, where he specialized in Artificial Intelligence (AI) and Remote Sensing technologies.

🏢 PROFESSIONAL ENDEAVORS

Dr. Srivastava currently serves as an Assistant Professor in the Department of Computer Science, School of Engineering and Technology, Sharda University, Greater Noida. His prior roles include academic appointments at Noida Institute of Engineering Technology and Rajarshi Rananjay Sinh Institute of Management Technology, Amethi. With nearly a decade of teaching and research experience, he has demonstrated deep expertise in areas like Machine Learning, Geo Informatics, and Google Earth Engine (GEE).

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENGINEERING

Dr. Srivastava’s Ph.D. thesis titled “Estimation of Change in LU/LC Mapping with Classification of Digital Signature using AI/ML Techniques over Google Earth Engine” reflects his interdisciplinary mastery. His research spans remote sensing, satellite image processing, forest degradation analysis, and environmental monitoring using AI/ML. He has actively explored the fusion of Earth Observation data with AI-driven models to tackle real-world environmental challenges.

He has authored 12 SCI/SCOPUS indexed journal articles, 14 international conference papers, and 4 Scopus-indexed book chapters, illustrating a sustained contribution to computational intelligence, environmental informatics, and secure networks.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • H-index: 9 (Google Scholar), 8 (Scopus)

  • Publications in high-impact journals such as Science of the Total Environment

  • Patent holder of two published design patents:

    • RFID-based Animal Tracking Strap

    • Irrigation Water Management System

He is also a multiple-time GATE qualifier and has completed over seven Coursera-certified advanced technology courses, reinforcing his commitment to lifelong learning.

🌍 IMPACT AND INFLUENCE

Dr. Srivastava’s research has impacted areas such as:

  • Sustainable forestry and climate monitoring

  • Urban noise pollution mapping using GIS

  • Precision agriculture with AI-enabled tools

  • Disaster monitoring via remote sensing platforms

His innovations like the Forest Cover Change Calculator (FCCC) and real-time environmental monitoring systems using GEE have influenced both academia and policy-driven environmental assessments.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Srivastava is poised to shape the next generation of AI-integrated environmental science. His emphasis on open-source platforms, especially Google Earth Engine, promotes scalable and accessible research tools. He aims to:

  • Develop AI-based real-time monitoring frameworks

  • Advocate for digital literacy in rural India

  • Expand applications of machine learning in environmental and agricultural sustainability

 ✅CONCLUSION

Dr. Anubhava Srivastava stands at the confluence of computer science, environmental engineering, and artificial intelligence, translating research into practical applications that address climate change, urban planning, and ecological preservation. His academic rigor, innovative spirit, and collaborative outlook mark him as a rising thought leader in intelligent Earth observation and digital transformation in environmental sustainability.

🔬NOTABLE PUBLICATION:

Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries
Authors: V.B. Sharma, K. Singh, R. Gupta, A. Joshi, R. Dubey, V. Gupta, S. Bharadwaj, …
Journal: Applied System Innovation, Volume 4(3), Article 59
Year: 2021

Mapping Vegetation and Measuring the Performance of Machine Learning Algorithm in LULC Classification in the Large Area Using Sentinel-2 and Landsat-8 Datasets of Dehradun
Authors: A. Srivastava, S. Bharadwaj, R. Dubey, V.B. Sharma, S. Biswas
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2022

Exploring Forest Transformation by Analyzing Spatial-Temporal Attributes of Vegetation Using Vegetation Indices
Authors: A. Srivastava, S. Umrao, S. Biswas
Journal: International Journal of Advanced Computer Science and Applications (IJACSA), Volume 14(5)
Year: 2023

A Probabilistic Gossip-Based Secure Protocol for Unstructured P2P Networks
Authors: A. Srivastava, P. Ahmad
Journal: Procedia Computer Science, Volume 78, Pages 595–602
Year: 2016

Determination of Optimal Location for Setting Up Cell Phone Tower in City Environment Using LiDAR Data
Authors: S. Bharadwaj, R. Dubey, M.I. Zafar, A. Srivastava, V.B. Sharma, …
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2020

Ishita Biswas | Botany | Best Researcher Award

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Dr. Ishita Biswas | Botany | Best Researcher Award

S.B.S. Government College, Hili, India

Author Profile

SCOPUS

ORCID

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Ishita Biswas began her academic journey in Botany with distinction, completing her B.Sc. (Hons.) in Botany in 2011 from the University of North Bengal, followed by an M.Sc. in Botany with a specialization in Biochemistry in 2013 from the same institution. Her exceptional academic performance earned her a Silver Medal from the Honorable Governor for securing the First Class Second Position in her postgraduate studies. She further pursued a Ph.D. in Microbiology from Raiganj University, awarded in 2024, demonstrating her commitment to interdisciplinary scientific excellence.

🏢 PROFESSIONAL ENDEAVORS

Currently serving as an Assistant Professor in Botany (W.B.E.S.) at S.B.S. Government College, Hili, Dr. Biswas has taken on numerous academic and administrative responsibilities. These include roles as Convener of the Students’ Welfare & Disciplinary Sub-Committee, Joint Convener for Routine and Women Grievance Cell, and membership in critical institutional bodies such as NIRF Ranking Committee, Examination and Sports Sub-Committees, and the UGC & Website Sub-Committees. Her involvement in institutional governance reflects a balance between teaching, mentorship, and administrative diligence.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN BOTONY

Dr. Biswas’s research bridges Microbiology, Biotechnology, and Botany, particularly focusing on:

  • Microbial fermentation using tannase-producing bacteria

  • Probiotics and metabiotics

  • Biocatalysis and enzyme technology

  • Nanobiotechnology (notably silver nanoparticles)

  • Bioinformatics and in-silico drug discovery

She has made significant contributions in identifying novel microbial strains, optimizing enzyme production, and applying them in environmental and therapeutic contexts. Her work on vermicomposting, organic waste valorization, and soil microbiology aligns closely with sustainable agricultural practices and ecological conservation.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Dr. Biswas has authored 19 peer-reviewed full-length research papers published in reputed journals like Microbial Pathogenesis (Elsevier), Journal of Proteins and Proteomics (Springer), Heliyon (CellPress), and Bioresource Technology Reports. Notable recognitions include:

  • 🥈 Silver Medalist – University of North Bengal, 2013

  • 🏆 Best Presenter Award – BioSpectrum 2023 & 2024 (International Conferences)

  • 🎖️ Outstanding Paper Award – 6th Regional Science & Technology Congress, 2024

  • 🌟 APJ Abdul Kalam Award 2025 – For outstanding professional and research achievements

🌍 IMPACT AND INFLUENCE

Dr. Biswas’s work has made a tangible impact in environmental bioremediation, organic farming, and public health through probiotics. Her research in metabiotics offers a future alternative to conventional antibiotics, aligning with global trends in microbiome-based therapies. She is recognized for advancing the field through both experimental and computational biology, promoting data-driven, sustainable solutions to real-world problems.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Ishita Biswas is paving the way for next-generation research in sustainable bioresource utilization, metagenomics, and microbiome-health linkage. Her vision incorporates green technologies, natural product chemistry, and data-driven biology. Her commitment to academic mentoring and institutional service ensures that she contributes to building a strong foundation for future scholars in both Botany and Applied Microbiology.

 ✅CONCLUSION

Dr. Ishita Biswas exemplifies a new-age scientist who seamlessly integrates traditional botanical knowledge with modern microbiological tools. Her journey from academic brilliance to impactful research and administration highlights her as a distinguished academician, research innovator, and a community-focused educator. She is a role model for aspiring scientists, especially women in STEM.

🔬NOTABLE PUBLICATION:

Comparative Study on Tannase Sequence and Structure of Lactiplantibacillus: An In Silico Protein Variability Analysis and Its …
Author(s): I. Biswas, D. Mitra, P.K. Das Mohapatra
Journal: Applied Biotechnology and Bioinformatics: Agriculture, Pharmaceutical …
Year: 2024

In-silico Comparative Sequence and Structure Analysis of Fungal Tannase for Industrial Suitability: An Environment Friendly Enzyme Technology
Author(s): D. Mitra, I. Biswas, P. Das Mohapatra
Journal: Green Technologies for Environmental Management, Volume 1, Pages 273–286
Year: 2023

Mechanistic Approach in Remedy of Diabetes Through Plant Bioactive Polyphenolic Compounds: An Insilico Study for Modern Drug Discovery
Author(s): I. Biswas, D. Mitra, P.K. Das Mohapatra, M. Abdalla
Journal: Journal of Proteins and Proteomics, Pages 1–24
Year: 2025

Characterization and Toxicity Assessment of Metabiotic Produced Through Natural Tannin Fermentation by Newly Isolated Probiotic Lactiplantibacillus plantarum PKI15 and Study of …
Author(s): I. Biswas, D. Mitra, C. Mallik, P.K.D. Mohapatra
Journal: Microbial Pathogenesis, Article No. 107815
Year: 2025

An In Silico Approach for Comparative Characterization of Imidazolonepropionase from Agrobacterium fabrum & Bacillus subtilis: An Imperative Enzyme for Histidine Degradation
Author(s): I. Biswas, T. Biswas, D. Mitra
Journal: Biology and Life Sciences Forum, Volume 41(1), Page 3
Year: 2025

Hema Mayavan | Engineering | Best Researcher Award

Published-on by Indian Scientist

Dr. Hema Mayavan | Engineering | Best Researcher Award

Easwari Engineering college, India

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Dr. M. Hema has built a strong academic foundation rooted in the core of Information Technology and Embedded Systems. She graduated with a B.Tech in Information Technology from Tagore Engineering College, Chennai in 2003, followed by an M.E in Embedded System Technologies from the prestigious College of Engineering, Guindy (Anna University), Chennai in 2009. Her passion for research led her to earn a Ph.D. in Cloud Computing from Anna University, Chennai in 2023, laying the groundwork for impactful contributions in data-driven technologies and intelligent systems.

🏢 PROFESSIONAL ENDEAVORS

With a rich teaching experience of over 20 years, Dr. Hema has consistently nurtured and mentored future engineers. She began her career as a Lecturer at Adhiparasakthi Engineering College and Vels Srinivasa College of Engineering. Since 2007, she has been serving as Assistant Professor (Senior Grade) at Easwari Engineering College, demonstrating unwavering dedication and academic leadership. Her pedagogical approach blends theoretical concepts with practical implementation, equipping students with industry-relevant skills.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENGINEERING

Dr. Hema’s research specialization is centered around Cloud Computing, Artificial Intelligence, and Embedded Systems. Her scholarly interests include scalable computing solutions, smart automation, and advanced microprocessor applications. She has actively participated in and conducted numerous workshops and FDPs, emphasizing emerging areas such as Big Data Analytics, Microsoft Azure, Software Testing, and Wireless Networks.

She has also organized and coordinated several AICTE and Anna University-sponsored programs, ensuring capacity building and knowledge dissemination in futuristic engineering domains.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Dr. Hema has completed several NPTEL certifications, adding credibility to her teaching and research competencies. Courses include Cloud Computing, Operating Systems, AI, Machine Learning, and Introduction to Research, demonstrating her commitment to continuous learning. She is a respected member of multiple professional bodies, such as:

  • ISTE (Lifetime Member)

  • IET

  • IAENG

  • UACEE

🌍 IMPACT AND INFLUENCE

Dr. Hema’s contributions have significantly influenced the technical education ecosystem, especially in Tamil Nadu. She has played a crucial role in upskilling faculty and students by curating hands-on programs, seminars, and technical training events. Her involvement in Faculty Development Programs (FDPs) and Spoken Tutorial collaborations has further strengthened interdisciplinary learning and technological adaptability among engineering aspirants.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Hema envisions a future where Cloud and AI-based systems transform everyday engineering applications. Her upcoming contributions are expected to expand in the direction of smart cloud architectures, ethical AI implementation, and sustainable technology integration in embedded systems. As a mentor and guide, her legacy lies in building future-ready engineers who will address pressing technological and societal challenges with innovation and responsibility.

 ✅CONCLUSION

Dr. M. Hema stands as a dynamic educator, accomplished researcher, and proactive academic leader. Her two-decade-long journey reflects her academic excellence, research versatility, and institutional impact. With her forward-looking mindset, she continues to bridge the gap between theory and practice in engineering education and innovation.

🔬NOTABLE PUBLICATION:

An integrated energy storage framework with significant energy management and absorption mechanism for machine learning assisted electric vehicle application
Author(s): Hema, M. et al.
Journal: Sustainable Computing: Informatics and Systems
Year: 2024

Prediction Based Load Balancing in Cloud Computing Using Conservative Q-Learning Algorithm
Author(s): Hema, M. et al.
Journal: Communications in Computer and Information Science
Year: 2024

A Quantitative Approach to Minimize Energy Consumption in Cloud Data Centres using VM Consolidation Algorithm
Author(s): M. Hema, S. Kanaga Suba Raja
Journal: KSII Transactions on Internet and Information Systems
Year: 2023

An Efficient Framework for Utilizing Under Loaded Servers in Compute Cloud
Author(s): M. Hema, S. Kanaga Suba Raja
Journal: Computer Systems Science and Engineering
Year: 2022

 An Optimal Algorithm to Improve Resource Utilization in Cloud Data Centre
Author(s): S. Kanaga Suba Raja, M. Hema
Journal: International Journal of Engineering and Advanced Technology (IJEAT)
Year: 2019