As part of its ongoing commitment to bridging academia and industry, SRM University-AP has signed a Memorandum of Understanding (MoU) with Learning Paths Technologies LLP (The AI SCHOOL) to collaborate on skill development, innovation, and research in AI, 5G, and 6G technologies.

The MoU was officially signed on April 8, 2025, by Dr R Premkumar, Registrar – SRM University-AP, and Mr Ganta Srinath Reddy, Founder and CEO – The AI SCHOOL, at the varsity.

The collaboration was facilitated under the guidance of Prof. Rupesh Kumar, Department of Electronics and Communication Engineering, and was witnessed by Prof. C V Tomy, Dean – School of Engineering and Sciences; Dr K A Sunitha, Head – Department of Electronics and Communication Engineering; and other members of the faculty and administrators from both institutions.

This strategic partnership will focus on co-designing industry-relevant courses, organising skill-building programmes such as workshops, hackathons, and faculty development initiatives, and facilitating access to cutting-edge laboratories in AI and communication technologies. The MoU also envisions establishing Centers of Excellence and enabling mentorship networks to nurture startups and innovation.

Registrar Dr R Premkumar emphasised the importance of creating real-world impact through such collaborations, while Mr Ganta Srinath Reddy highlighted the role of academia in shaping future-ready talent. Prof. Rupesh Kumar expressed confidence that this partnership would enable students and researchers to work closely with industry experts, thereby accelerating innovation in emerging tech domains.

This MoU marks a significant step toward creating a vibrant ecosystem of interdisciplinary learning, research, and innovation that benefits not only both institutions but also society at large.

The 1st Industry Colloquium on Semiconductors, titled “Preparing Talent for Technology Leadership,” was organised by the Department of Electronics and Communications Engineering at SRM AP. This event drew a vibrant crowd of 200+ participants, including industry experts, academic professionals, researchers, and students. The colloquium showcased the transformative role of collaboration between academia and industry within the semiconductor sector.

Mrs Madhuri Nallapaneni, Group Director of Design Engineering at Cadence-Invecas Technologies, kicked off the discussions with her talk, “Chiplet Technology: A New Way to Build SoCs.” With over 20 years of experience in leading semiconductor firms like AMD and TI, she offered an engaging overview of how the evolving chiplet design paradigm has the potential to revolutionise System-on-Chip (SoC) development.

Mr Narendra Korlepara, Sr. Director & Site Leader at Synopsys Hyderabad, spoke on “Chip Design Flow from EDA Tools Perspective.” His session highlighted the vital importance of Electronic Design Automation (EDA) tools in contemporary chip development, drawing from his extensive experience in global operations.

In another notable session, Mr Venkatesh, Senior Expert at Silicon Labs University, delved into “Wireless MCU Design.” With more than 38 years in engineering, he provided a comprehensive overview of wireless microcontroller unit design and the future of wireless connectivity within embedded systems and the Internet of Things (IoT).

Dr Krishna Kanth Avalur, Founder and CTO of MOSart Labs, discussed “CMOS Automotive Power Management IC Design.” He shared insights into innovations in analog and mixed-signal design for automotive applications, stressing the importance of hardware efficiency, intellectual property development, and student upskilling.

The colloquium concluded with a strong message advocating for continued collaboration and mentorship to cultivate a skilled and future-ready workforce. The organising committee, led by Dr K A Sunitha and Dr Pradyut Kumar Sanki from the Department of Electronics and Communication Engineering at SRM University-AP, played a vital role in making this event a success.

The Department of Electronics and Communication Engineering (ECE) organised “ECE Open House Day-2025: From Microchips to Megatrends,” the first edition of its flagship event. The Open House 2025 witnessed the presence of industry experts like Dr Rajkumar Elagiri Ramalingam, Mphasis; Dr Kamal Das, Senior Research Scientist & Technical Assistant to Director – IBM Research India; Mr Bhavani Shankar, Executive Manager & Head – IoT at Efftronics; Dr B Surya Prasada Rao, Chairman IETE Vijayawada, along with Pro Vice Chancellor, Prof. Ch. Satish Kumar; Registrar, Dr R Premkumar; Dean- SEAS, Prof. CV Tomy; Head & Associate Professor, Dr K A Sunitha; Event Convenor- Dr Goutam Rana; Co-convenors- Dr Arijit Datta, Dr Pradyut, Dr Saswat Kumar, other members of the faculty, staff and student community.

The event featured over 150 groundbreaking student projects developed as part of Capstone, UROP, and M.Tech tracks under the mentorship of ECE faculty at the varsity. Apart from the students from the varsity, the event saw the participation of students from the local schools and colleges, aiming to inspire their technical and innovative acumen.

The Open House 2025 presented projects across various cutting-edge domains, including VLSI, Embedded Systems & IoT, Biomedical Signal Processing, RF & Antenna Design and Communication Engineering. Among the 150+ projects presented, the judges recognised the top twelve for their outstanding innovation and creativity.

Pujari Sri Sai Manikanta and Ajit Kumar received accolades under the Embedded and IoT Track for their project on Autonomous Drone Delivery. Darapureddy Divya Deekshitha was honoured in the Robotics and Bionics category of the Biomedical and Signal Processing Track for her exemplary work. From the VLSI Track, Dhanesh Kumar Jallepalli earned recognition for his software project titled Exploring Logic Locking Techniques: The SAIL Attack. Shaik Shaista Zabeen excelled in the Communication and Networks Track with his project, O-RAN with AIML. Venkata Ramana Murthy Pondala stood out in the RF and Antenna Track for his work on Reconstruction of SPARS SAR System mmWave Radar Images.

In the Capstone Project category, P Mahesh, N Boobalan, V Harsha, and M Stephen Daniel made a significant impact. Bhuvan Chand Guntuku and Sai Meghana Unguturi excelled in the Biomedical and Signal Processing Tracks. In the VLSI, Communication and Networks, and RF and Antenna Tracks, students Amrit Kumar Singha, Arnov Paul, Meera C, Kamalnath S, Hamshini T K, and Sri Sankeerth Dhanekula also made their mark. Lastly, Bandi Raja Babu and A Trilochan Kumar were awarded in the MTech VLSI and IoT Tracks, respectively, highlighting their remarkable contributions to the field.

The winners were decided based on the problem-solving, sustainability and innovative technological contributions of their project. Events of this calibre do not just test the students’ learning but also test their dexterity and innovation skills, carving a legacy of excellence.

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The patent titled, System and Method for Detecting a Face Mask on the Face of a Person with application number: 562697 by Assistant Professor, Dr Anirban Ghosh and his students from the department Ms J Keerthi Tanvitha, Ms K Poojitha, Ms T Pallavi Sri, has come up with a novel idea that focuses on developing a system and method for detecting face masks on individuals before they enter a gated space. Their research uses image capture, face detection, mask-wearing verification, and temperature sensing to ensure compliance with health and safety protocols.

Brief Abstract

The research focuses on developing a system and method for detecting face masks on individuals before they enter a gated space. The system integrates image capture, face detection, mask-wearing verification, and temperature sensing to ensure compliance with health and safety protocols. It utilizes artificial intelligence and sensor technology to determine whether a person is wearing a mask correctly and allows or denies entry based on preset criteria. The system also includes an aliveness detection module to ensure that a real person is being scanned and prevents tampering or spoofing.

Explanation in Layperson’s Terms

Imagine you are entering a building where you must wear a mask and have your temperature checked. Instead of a security guard manually checking each person, this system does it automatically and without contact.

Here’s how it works:

• A camera captures your face as you approach the entrance.
• A software program checks if you are wearing a mask correctly (covering your nose and mouth).
• A temperature sensor scans your body temperature.
• If your mask is worn properly and your temperature is normal, the door opens and you can enter.
• If you are not wearing a mask correctly or have a high temperature, an alert is triggered, and entry is denied.

This system is especially useful in hospitals, offices, schools, airports, and malls to ensure safety without requiring human intervention.

Practical and Social Implications

This system plays a crucial role in public health by ensuring compliance with mask-wearing protocols, especially in high-traffic areas like hospitals, offices, and airports. By automating the detection process, it reduces reliance on manual checks, minimizing human error and lowering exposure risks for security personnel. Additionally, it streamlines entry procedures, preventing congestion at access points. While the technology enhances safety, it also raises concerns about privacy and data security, making it essential to implement ethical safeguards. Beyond COVID-19, this system can be adapted for future health crises requiring similar preventive measures.

Future Research Plans

Future improvements will focus on enhancing accuracy using AI to recognize different mask types and improve real-time detection. Expanding the system to include biometric health screening, such as cough detection and respiratory analysis, could make it a broader health monitoring tool. Integration with facial recognition and automated access systems will further strengthen security applications. Additionally, optimizing the system with edge computing will enable faster, more efficient processing. As the need for contactless health monitoring grows, refining this technology will ensure its continued relevance beyond COVID-19.

Dr Manjula R, Assistant Professor, Department of Computer Science and Engineering, and Dr Anirbhan Ghosh, Assistant Professor, Department of Electronics and Communication Engineering, has recently had their patent published titled “A System for Analyzing Electromagnetic Wave Scattering Path Loss in a Tissue and a Method Thereof” with Application no: 202541001730.

The faculty duo has revolutionised cardiac diagnostics and real-time health monitoring through their invention. This innovative system analyses electromagnetic wave scattering in biological tissues, using terahertz (THz) frequencies to optimise nanosensor communication and path loss analysis. By leveraging cutting-edge technology, it enables advanced biomedical devices for precise physiological monitoring and safer, more reliable in-vivo communication systems. A step forward for heart health and medical breakthroughs, this invention bridges the gap between technology and life-saving healthcare solutions.