Hemendra Kumar Pandey | Electronics Engineering | Best Researcher Award

Dr. Hemendra Kumar
Pandey | Electronics Engineering
| Best Researcher Award

Scientific Officer at Homi Bhabha National Institute (HBNI), Department of Atomic Energy (DAE), India.

Dr. Hemendra Kumar Pandey is a senior RF and accelerator systems expert serving as Scientific Officer-G at VECC, Department of Atomic Energy, and Associate Professor at HBNI. With over two decades of experience, he has played a pivotal role in the development of the Radioactive Ion Beam Facility in Kolkata. He holds a Ph.D. from IIT Kharagpur, and M.Tech and B.Tech degrees from the University of Allahabad. His research spans RF systems for particle accelerators, high-power amplifier design, beam diagnostics, and radiation-hardened circuits. Dr. Pandey has authored over 100 publications and is an active member of professional and ethical committees. His work significantly contributes to India’s advanced nuclear physics infrastructure and technology innovation in accelerator science.

🌍 Professional Profile:

Google Scholar 

ORCID

🏆 Suitability for the Best Researcher Award :

Dr. Hemendra Kumar Pandey is a highly suitable candidate for the Best Researcher Award due to his impactful contributions in the field of particle accelerator technologies and RF system design. His long-standing commitment to national scientific development through his work on the Radioactive Ion Beam facility at VECC demonstrates leadership, innovation, and excellence. With over 113 publications and active involvement in research, peer review, and academic mentorship, Dr. Pandey has made significant strides in RF engineering and radiation-hardened electronics. His role in developing indigenous technology for societal and industrial applications showcases applied research at its finest. His multidisciplinary expertise and dedication to scientific advancement make him an exemplary researcher worthy of this honor.

🎓 Education :

Dr. Hemendra Kumar Pandey has a strong academic foundation in electronics and RF systems. He earned his Ph.D. from the prestigious Indian Institute of Technology (IIT) Kharagpur, specializing in RF and microwave systems for particle accelerators. He completed his Master of Technology (M.Tech) in Electronics and his Bachelor of Technology (B.Tech) in Electronics & Telecommunication from the University of Allahabad, Prayagraj. His academic trajectory reflects a consistent focus on high-frequency electronics, amplifier design, and system-level integration, equipping him with the advanced knowledge required to tackle the challenges in nuclear science and accelerator technology. Dr. Pandey’s educational background serves as the cornerstone of his innovations in high-power RF systems and radiation-hardened integrated circuit design.

🏢 Work Experience :

Dr. Pandey joined the Department of Atomic Energy through BARC Training School in 1999 and has since built a distinguished career at VECC, Kolkata. Starting as a Scientific Officer-C in 2000, he progressed through the ranks to his current role as Scientific Officer-G. His core responsibilities include RF system design, high-power amplifier development, ion source integration, and beam diagnostics for linear accelerators. He has over two decades of experience contributing to one of India’s major research infrastructures—the Radioactive Ion Beam Facility. Additionally, he holds an Associate Professorship at Homi Bhabha National Institute. His practical leadership spans R&D, education, and national-level research missions, with consistent involvement in technological innovation and scientific mentorship.

🏅 Awards and Honors :

Dr. Hemendra Kumar Pandey’s professional excellence has earned him widespread recognition. He is a Fellow of the Institution of Electronics and Telecommunication Engineers (IETE) and an active member of key scientific bodies such as the Indian Society of Particle Accelerator (ISPA) and Hindi Vigyan Sahitya Parishad. He has been a member of the Institutional Ethical Committee of NIOH under the Ministry of AYUSH. He frequently serves as a Ph.D. and M.Tech thesis evaluator for reputed institutions and is a reviewer for high-impact journals like the Review of Scientific Instruments. His accolades underscore his commitment to scientific rigor, ethical research practices, and mentorship, further solidifying his leadership and influence in the field of nuclear instrumentation and accelerator research.

🔬 Research Focus :

Dr. Pandey’s research focuses on the design and development of RF systems for particle accelerators, high-power RF amplifiers, beam diagnostics, and radiation-hardened mixed-signal RF ICs. His pivotal role in the Radioactive Ion Beam Facility at VECC involves delivering high-precision RF engineering solutions for accelerating short-lived isotopes—crucial for nuclear physics and material science. He has also contributed to developing novel diagnostics tools, ion source control systems, and radiation-resilient electronics. His research bridges fundamental physics and practical technology applications, enabling advances in both science and society. By addressing the complexities of RF behavior under high-energy environments, his work fosters innovation in accelerator technology, supporting India’s leadership in nuclear science and allied interdisciplinary domains.

📊 Publication Top Notes:

📘 The design of a four‑rod RFQ LINAC for VEC‑RIB facility
📅 2004 | 🔢 Cited by: 21 🧲🛠️ ispa.co.in+6researchgate.net+6scholar.google.co.in+6

📘 Design and development of a radio frequency quadrupole linac post‑accelerator for the Variable Energy Cyclotron Center rare ion beam project
📅 2010 | 🔢 Cited by: 19 ⚙️🔬 vecc.gov.in+3researchgate.net+3scholar.google.co.in+3

📘 Design of LINAC post‑accelerator for VECC RIB facility using realistic field
📅 2006 | 🔢 Cited by: 16 💡🔧 scholar.google.co.in

📘 33.7 MHz heavy‑ion radio frequency quadrupole linac at VECC Kolkata
📅 2007 | 🔢 Cited by: 15 📡🔭 researchgate.net+15researchgate.net+15scholar.google.co.in+15

📘 Improvement in phase‑sensitivity of a Mach–Zehnder interferometer with the superposition …
📅 2023 | 🔢 Cited by: 13 ⚛️🔍 arxiv.org+6scholar.google.co.in+6en.wikipedia.org+6

📘 Design of a “two‑ion source” Charge Breeder using ECR ion source in two frequency mode
📅 2005 | 🔢 Cited by: 13 🧩🚀 vecc.gov.in+2scholar.google.co.in+2colab.ws+2

📘 Design of a gas‑jet coupled ECR ion‑source for ISOL type RIB facility
📅 2020 | 🔢 Cited by: 1 🌬️⚗️ ui.adsabs.harvard.edu+15colab.ws+15vecc.gov.in+15

Koagne Longpa Tamo Silas | Electronics Engineering | Best Researcher Award

Mr. Koagne Longpa Tamo Silas| Electronics Engineering| Best Researcher Award

Mr.  Koagne Longpa Tamo Silas ,University of Dschang,, Cameroon

KOAGNE LONGPA TAMO Silas is a dedicated researcher specializing in medical physics and applied computer science. Born on July 12, 1998, in Mbouda, Cameroon, he is currently a Ph.D. student in Physics at Dschang State University. His research explores Artificial Neural Networks, Embedded Systems, and Circuit Simulation. With experience in teaching and industrial training, he has contributed significantly to electronics and medical automation. His expertise spans digital electronics, microcontroller programming, and electronic design automation. Silas has presented innovative projects, such as digital breath alcohol detection and RFID-based attendance systems. His work demonstrates strong analytical and problem-solving skills, making him a promising candidate for the Best Researcher Award for his contributions to applied physics and automation.

🌍 Professional Profile:

Orcid

Google scholar 

🏆 Suitability for the Best Researcher Award 

Silas’s research contributions in medical physics, artificial intelligence, and embedded systems have had a notable impact on medical automation. His groundbreaking work in multilayer perceptron analog artificial neural networks and electronic attendance systems highlights his ability to develop real-world applications. His expertise in circuit simulation, digital electronics, and signal processing showcases technical proficiency, while his teaching and industrial experience demonstrate dedication to knowledge dissemination. Silas’s innovative projects, including medical diagnostic tools and automated monitoring systems, align with current technological advancements in healthcare and automation. His commitment to interdisciplinary research and applied electronics in medical physics makes him a deserving candidate for the Best Researcher Award in recognition of his contributions to science and technology.

🎓 Education 

Silas holds multiple degrees in physics and electronics, demonstrating a strong academic foundation. He earned an M.Sc. in Physics (Electronics Specialization) from Dschang State University in 2022, focusing on multilayer perceptron analog artificial neural networks under Dr. DJIMELI TSAJIO Alain B. He also holds a B.Sc. in Physics (2021) and DIPET 2 in Electronics (2020) from Bamenda State University, where he designed a breath alcohol detection system with SMS alert and vehicle tracking. His DIPET 1 in Electronics (2018) involved an RFID-based electronic attendance system. With GCE Advanced Level (2015) and Ordinary Level (2013) qualifications, Silas has built a solid academic background in electronics, automation, and applied physics, strengthening his expertise in research and innovation.

🏢 Work Experience 

Silas has academic and industrial experience in electronics and computer science. He is currently an Electronics Teacher at Government Technical College Ngombo-ku since 2021. Previously, he was a Junior Lecturer in Computer Science at Higher Technical Teacher Training College Bambili (2019-2020) and taught at Government Technical High School Bambui (2017-2018). His industrial experience includes internships at HYTECHS-Yaoundé (2019), where he worked on HP INKJET and RICOH printer maintenance, and MEECH CAM Sarl-Yaoundé (2016), where he specialized in electrical cable installations and high-voltage network maintenance. His experience in circuit simulation, embedded systems, and programming (MATLAB, Arduino, MikroC) showcases his expertise in electronics and automation.

🏅 Awards and Honors 

Silas has demonstrated academic excellence and innovation in applied physics and electronics. His RFID-based attendance system project and breath alcohol detection system with vehicle tracking received recognition for their practical applications. His multilayer perceptron analog artificial neural networks research has contributed significantly to medical physics automation. Throughout his academic career, he has been acknowledged for his outstanding technical skills, leadership in research projects, and commitment to innovative problem-solving. His teaching excellence and industrial contributions have also earned him respect in academia and the electronics industry. These achievements position him as a strong candidate for prestigious research awards in the fields of medical automation and applied physics.

🔬 Research Focus 

Silas’s research centers on medical physics, artificial intelligence, and embedded systems. His expertise in analog artificial neural networks, circuit simulation, and microcontroller programming enables the development of advanced medical diagnostic tools and automation systems. He focuses on electronics and communication, digital signal processing, and electronic design automation to enhance medical imaging and monitoring technologies. His studies in embedded systems programming and analog electronics contribute to innovations in healthcare automation. By integrating Spice Simulation, Cadence Virtuoso, and AI-driven medical devices, Silas aims to revolutionize automated diagnostics and real-time monitoring systems. His interdisciplinary research reflects technological advancements in medical applications, positioning him as a leading researcher in applied physics and automation.

📊 Publication Top Notes:

    1. K. L. T. Silas, D. T. A. Bernard, F. T. Bernard, L. Jean-Pierre, and G. W. Ejuh, “A High-Resolution Non-Volatile Floating Gate Transistor Memory Cell for On-Chip Learning in Analog Artificial Neural Networks,” 2025.

    2. B. Djimeli-Tsajio Alain, K. L. T. Silas, L. T. Jean-Pierre, N. Thierry, and G. W. Ejuh, “Breast Cancer Diagnosis with Machine Learning Using Feed-Forward Multilayer Perceptron Analog Artificial Neural Network,” 2024.

    3. K. L. T. Silas, “Design and Implementation of a Digital Breath Alcohol Detection System with SMS Alert and Vehicle Tracking on Google Map,” 2020.

    4. M. K. Jules, “Design and Realization of an Electronic Attendance System Based on RFID with an Automatic Door Unit,” 2020.