Brij Bhushan Sharma | Engineering | Best Researcher Award

Dr. Brij Bhushan Sharma | Engineering | Best Researcher Award

Dr. Brij Bhushan Sharma | Shoolini University of Biotechnology and Management Sciences | India

Dr. Brij Bhushan is an accomplished Assistant Professor at Shoolini University of Biotechnology and Management Sciences, Solan, India, specializing in the Internet of Things (IoT), Embedded Systems, and Wireless Sensor Networks. With over a decade of academic and research experience, he has made significant contributions to smart agriculture, healthcare technologies, and communication systems through impactful research and innovation. He has authored numerous publications in Scopus and WoS indexed journals, written a book, and holds multiple patents. Dedicated to integrating innovation into teaching and research, Dr. Bhushan is committed to advancing technology-driven solutions that address global challenges.

Profiles

Scopus 
Orcid 
Google Scholar 

Education

Dr. Brij Bhushan pursued his academic journey with excellence in Electronics and Communication Engineering. He earned his Ph.D. in 2022 from Shoolini University, focusing on the design and implementation of IoT in agriculture to enhance food and farming technologies. Earlier, he completed his M.Tech in Electronics and Communication Engineering at Shoolini University and his B.Tech in the same discipline from Swami Parmanand Engineering College, Punjab. His foundation was laid with a Diploma in Electronics and Communication Engineering from Longowal Polytechnic College. His educational pathway reflects a consistent pursuit of innovation in IoT and communication technologies.

Professional Experience

Dr. Brij Bhushan has been serving as an Assistant Professor at Shoolini University since 2019, where he mentors students, develops IoT-based curricula, and leads innovative research initiatives. Previously, he worked as a Teaching Assistant at the same university, supporting academic delivery and tutoring. His career began as a Technical Instructor, where he gained valuable experience in student engagement, training, and applied research. With expertise in IoT and Embedded Systems, he has introduced specializations in B.Tech programs, published extensively, and contributed to the university’s academic and research excellence. His teaching combines innovation, mentorship, and applied learning.

Research Focus

Dr. Brij Bhushan’s research focuses on the Internet of Things (IoT), Embedded Systems, Wireless Sensor Networks, and Communication Systems, with a strong emphasis on real-world applications in agriculture, healthcare, and smart technologies. His work explores intelligent IoT-based solutions for crop monitoring, irrigation systems, renewable energy, and sustainable farming. Additionally, he investigates AI-driven plant disease detection, IoT-blockchain integration for data security, and smart healthcare devices. With over 25 Scopus/WoS-indexed publications, patents, and international conference presentations, his research advances digital agriculture, healthcare innovations, and communication systems, bridging the gap between academia, industry, and society.

Awards and Honors

Dr. Brij Bhushan has earned numerous accolades for his academic and research contributions. He is a granted patent holder in multiple IoT and smart device innovations, with recognition for his pioneering work in smart agriculture and embedded systems. He received appreciation from IIT Kharagpur as a System Administrator and A-View Coordinator during national workshops, and multiple awards for organizing technical events at Shoolini University. As an Innovation Ambassador (Advanced Level) under the Ministry of Education, Govt. of India, he has also served as a Primary Evaluator at Toycathon 2021. His global recognition includes roles as reviewer, TPC member, and international committee member.

Publications Top Notes

A CNN model: earlier diagnosis and classification of Alzheimer disease using MRI

Authors: AW Salehi, P Baglat, BB Sharma, G Gupta, A Upadhya

Journal/Conference: 2020 International Conference on Smart Electronics and Communication (ICOSEC)

Citations: 173

IoT-Based Intelligent Irrigation System for Paddy Crop Using an Internet-Controlled Water Pump

Authors: BB Sharma, N Kumar

Journal/Conference: International Journal of Agricultural and Environmental Information Systems

Citations: 54

Applicability Of Wireless Sensor Networks & IoT In Saffron & Wheat Crops: A Smart Agriculture Perspective

Authors: MW Rasooli, B Bhushan, N Kumar

Journal/Conference: Conference Publication (details missing from snippet, likely in Smart Agriculture proceedings)

Citations: 51

Applications of artificial intelligence in smart agriculture: a review

Authors: R Sharma, N Kumar, BB Sharma

Journal/Conference: Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 1

Citations: 37

Implementation of an automated irrigation system for agriculture monitoring using IoT communication

Authors: D Rani, N Kumar, B Bhushan

Journal/Conference: 2019 5th International Conference on Signal Processing, Computing and Control (ISPCC)

Citations: 24

Opportunities and challenges with WSN’s in smart technologies: A smart agriculture perspective

Authors: N Kumar, B Sharma

Journal/Conference: Handbook of Wireless Sensor Networks: Issues and Challenges in Current Era

Citations: 20

Internet of things-based hardware and software for smart agriculture: A review

Authors: BB Sharma, N Kumar

Journal/Conference: Proceedings of ICRIC 2019: Recent Innovations in Computing

Citations: 20

Internet of Things‐Based Crop Classification Model Using Deep Learning for Indirect Solar Drying

Authors: BB Sharma, G Gupta, P Vaidya, S Basheer, FH Memon, RN Thakur

Journal/Conference: Wireless Communications and Mobile Computing

Citations: 17

COVID-19: automated detection and monitoring of patients worldwide using machine learning

Authors: G Gupta, AW Salehi, B Sharma, N Kumar, Sonia, P Vaidya

Journal/Conference: Modeling, Control and Drug Development for COVID-19 Outbreak Prevention

Citations: 14

Arduino based LPG leakage detection and prevention system

Authors: BB Sharma, P Vaidya, N Kumar, CC Chen, R Sharma, RP Dwivedi, …

Journal/Conference: 2021 8th International Conference on Computing for Sustainable Global Development

Citations: 14

IoT: the Current Scenario and Role of Sensors Involved in Smart Agriculture

Authors: NK Harshit Bhatt, Brij Bhushan Sharma

Journal/Conference: International Journal of Recent Technology and Engineering

Citations: 14

Conclusion

Dr. Brij Bhushan exemplifies academic innovation and research excellence in IoT and smart technologies. With a strong academic background, diverse teaching experience, and groundbreaking research, he has emerged as a thought leader in digital agriculture, healthcare innovation, and embedded systems. His extensive portfolio of publications, patents, and collaborative projects reflects his commitment to solving practical challenges with technology. As an educator, mentor, and researcher, Dr. Bhushan continues to inspire students and colleagues alike, while his pioneering contributions strengthen the link between academia, industry, and society. He remains dedicated to driving impactful innovation for a sustainable future.

Md Khalid Hossen | Environmental Engineering | Best Researcher Award

Dr. Md Khalid Hossen | Environmental Engineering | Best Researcher Award

Dr. Md Khalid Hossen, Research Center for Information Technology, Academia Sinica, Taiwan.

Dr. MD Khalid Hossen 🎓 is a Ph.D. researcher in Social Networks and Human-Centered Computing at National Chengchi University, Taiwan. His work focuses on PM2.5 pollution prediction, time series analysis, and neural networks 🤖. With multiple publications in renowned journals 📚 and hands-on experience in AI projects, he blends data science with real-world solutions 🌍. Dr. Hossen is skilled in Python, machine learning, and statistical analysis, making him a promising contributor to global scientific innovation 🚀.

Profile

Orcid Profile

Google Scholar Profile

🎓 Early Academic Pursuits

Dr. MD Khalid Hossen began his academic journey in Electronics and Communication Engineering at Khulna University, Bangladesh, focusing his thesis on reducing PAPR in OFDM systems. He pursued a Master’s in Computer Science Engineering from UESTC, China (2016–2018), where he developed expertise in statistical analysis through web crawling techniques. Currently, he is completing a Ph.D. in Social Networks and Human-Centered Computing (SNHCC) at National Chengchi University and Academia Sinica, Taiwan , under the guidance of Prof. Meng Chang Chen.

💼 Professional Endeavorsc

Dr. Hossen has worked in both academia and industry. He served as a Part-Time Lecturer at Daffodil Institute of IT, Dhaka and worked as an Engineer at ROBI, Bangladesh. His professional roles have been instrumental in bridging theoretical research with real-world applications.

🔬 Contributions and Research Focus On Environmental Engineering

His research expertise spans Time Series Data, PM2.5 Pollution Prediction, Neural Networks, Statistical and Data Analysis, and Human-Centered Computing. He has led multiple projects in machine learning, including COVID-19 detection, flight delay prediction, and health diagnosis systems, utilizing cutting-edge tools like PyTorch, TensorFlow, and NLP frameworks.

🌍 Impact and Influence

Dr. Hossen’s work on PM2.5 forecasting using neural networks is published in top-tier journals such as PLOS ONE and Scientific Reports. His interdisciplinary research integrates AI with environmental data, offering practical solutions for pollution forecasting and public health safety.

🧠 Research Skills

Dr. Hossen is proficient in:

  • Programming: Python, C++, Java, R, MATLAB, SQL

  • Machine Learning: PyTorch, TensorFlow, Keras, XGBoost

  • Data Tools: Pandas, NumPy, Seaborn, ggplot2
    His capabilities cover model design, data mining, visualization, and predictive analytics with high precision and innovation.

🏅 Awards and Honors

  • TIGP Fellowship, Taiwan (2018–2025) 🎓

  • Excellent Performance Award, UESTC, China (2016) 🌟

  • Academic Scholarship, UESTC (2016–2018) 🎖️

🏛️ Legacy and Future Contributions

Dr. Hossen is committed to advancing AI-driven environmental analytics and human-centered technology design. His future contributions aim to harness deep learning for sustainable development, particularly in climate science and public health prediction systems, leaving a significant legacy in AI for social good.

Publications Top Notes

📄 Title: Crosstalk Noise Modeling Analysis for RC Interconnect in Deep Sub-Micron VLSI Circuit
📘 Journal: Communications on Applied Electronics
🔢 Citations: 6
📅 Year: 2017
📌 Authors: MS Uzzal, MK Hossen, A Ahmad
🔬 Emoji: 🧠💡

📄 Title: Optical Parameters Analysis of Photonic Crystal Fiber with Rectangular Lattice Geometry
📘 Journal: Journal of Scientific Research and Reports
🔢 Citations: 5
📅 Year: 2017
📌 Authors: MB Hossain, MA Kabir, AAM Bulbul, E Podder, MK Hossen
🔬 Emoji: 🔍📡

📄 Title: Statistical Analysis of Extracted Data from Video Site by Using Web Crawler
📘 Conference: 2018 International Conference on Computing and Artificial Intelligence (ICCAI)
🔢 Citations: 4
📅 Year: 2018
📌 Authors: MK Hossen, Y Wang, HA Tariq, G Nyame, RE Nuhoho
🔬 Emoji: 📊🤖

📄 Title: Hexagonal Photonic Crystal Fiber with Small Effective Area and Zero Waveguide Dispersion
📘 Conference: 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
🔢 Citations: 1
📅 Year: 2019
📌 Authors: MA Mukit, AAM Bulbul, MB Hossain, GMA Al Mamun, MK Hossen, et al.
🔬 Emoji: 🧬🌐