Good day, Dr. Shubham Dadhich. I'm Arjun. I've had a look through your background and your professional record. I'm interested in hearing more about your work and how you see yourself fitting in here with our faculty. Ready to start?

Yeah, I'm giving my brief introduction first.

So I'm.

Please start

Go ahead, Professor. I'm listening.

OK, I'm Shubham Daddish, currently serving as Assistant Professor at QPS Dehradun at Best Center, where I have Utility Industrial automation, PLC, Escada Pneumatic, some concept of pneumatics, some basics of embedded system, Arduino at Mega Controller. And ARM based different different like SD, microcontroller and.

Uh, different thing. And my goal is to equip uh, degree or diploma student with hands on experience in embedded system, industrial control system, uh, that widely used in manufacturing automatic robotics are heavy machinery sector also. So I have about 8 year of professional experience in engineering and research field. I have contributed to national level conferences as technical.

And technical committee member in various uh national level conferences.

And participated in Advanced Research, uh, conferences as well as uh, My previously work include uh, mentoring, student preparing academic document documentation and managing large scale data for educational and research uh purpose. So at previously, I have served as engineer G2 grade 2.

In 80 Sal at RI Ajmer under NCRT.

Where I have support the for communication. So where at that time I have I have served as engineer, communication engineer or telecom engineer and in regarding that I have published more than 100 videos on the national platform like PM, Prabha or Diksha. Additionally, I have act as a data analyst in ITAP, NCE or CWD admissions.

And uh, where I have, uh, also manage, uh, manage 100 TB, uh, servers or data. And uh, before this, I have served as JRF research scholar in Purnima University, where I have conducting the research of on P type organic therapy transistor as well as some.

N type organic influence transistor and I have performed various simulation, ticket simulation and also.

Uh, try to fabricate one, uh, OTFT on P base, organize semiconductor. And also, uh, I have taught some, uh, Btech or Mtech, uh, subjects like, uh, Internet of thing, micro controller.

Uh, research methodology, artificial neural networks and different different are the basic of this thing.

And uh, I have uh, uh, publish, uh, uh, I have add as education background, I have completed my PSD and under electrical and electronic department, uh, where I have served as GRF and SRF under DST project, uh, that is.

Organic different transistor for future flexible electronics.

And uh, I have received receive a best research paper award at I triple E conference, uh, for UH-1 semiconductor modeling also. And above this, I have review many prestigious general like I AAA electron devices letter that is most precise general and other physics is crypto that is Q2 general and. Beside this I have a skill.

And also CC plus plus some uh, Python, somehow Python And uh, other hardware language, uh, language like Verilog and DSDL.

As well as I have uh comfortable for using matlab and multi SIM and sys et cetera as uh software in embedded system. I have used uh Arduino at mega at at my studio.

And different different. Also I have used ESP 32, ESP 8266 by the for the programming.

And As for my publication, I have two QQ in general ON Semiconductor general of semiconductor and I have where I have published regarding the fabrication or modeling of organic thin film transistor.

I have uh, published 2 Indian patents, so uh.

On the IoT, on the industrial power quality monitoring device and as a professional activity I have actively active in many community like like I triple E electron device community and I like I triple E console on electronic design automation.

That is all.

Thank you, Professor Shubham, for sharing your comprehensive and impressive academic and professional journey.

Dr. Shubham Dadhich, let us verify your key technical and academic competencies in line with the requirements for this role. I'll assess one skill at a time to ensure a focused discussion. First, let's address your expertise in **Image Processing**. Could you describe a scenario or project where you applied image processing techniques effectively? Please also detail the tools and methods you used.

Yes, for image processing.

That is 2 method to implement the image processing. First is based on machine or fast camera that has some intelligence. So let's start with first thing and the second is first capture the scene or scenario with the simple camera then process it on Python or Matlab or any other machine or platforms.

So first, uh, let's discuss with, uh, what, uh, first method. So in first method, we use, uh, a camera that has some image processing capacity, uh, like boomer company has on and the boomer is the leader, market leader, about 80% of the computer vision or smart vision they supply, uh, or they fabricate their cameras. So, uh, in that camera. One image processing.

Uh, processor are there so for computer vision or a smart vision, uh, we.

The camera captured the uh, space or the the image uh, at uh, at the what the requirement on the at the spatial or required angle and the spatial image, then it process and deduct the ages. So if any cutting edge or the required parts in the manufacturing was similar to the requirement, then it passed or if.

The required part is, not. Uh, similar, then it discard that or it high the other line. So, uh, it is, uh, used, uh, so it is used the image processing that that there, uh, it detect the edges. Edges mean the changing of the color, sharply changing of the color and other parameters. Also the correlation is there and the all scenario, the. Image or the angle of the light also depend also matters, so the.

Uh, placing or the.

Uh, the installation is matter. The according to the, uh, output, we have to install the, uh, lights and other things. So, and the second is to capture a image and then use. We can use the Python or other platform, MATLAB and the machine learning process or AI artificial intelligence process. There we can, we can also use.

CNN conventional neural network when we give the input to the CNN and it recognized whether it is.

Uh, similar or, uh, desired output on.

Understood, Professor. You've outlined two approaches: using intelligent cameras with built-in processing capacity as in edge detection tasks, and the second approach employing Python, MATLAB, or AI models like CNNs for post-capture analysis. You highlighted the importance of lighting configurations and edge-detection methods in the first case and CNN for object recognition in the second. Now, in implementing edge detection, particularly with a hardware-integrated vision system, could you elaborate on how you handle variations in environmental factors, such as lighting or movement, to maintain processing accuracy?

Yeah. So the lighting should be uniform. So if the if we go the specification or specify the light, the light should be non flicker light and as well as a broad spectrum should be there not a color biasing should be. So if the light is uniform or we install the light. At the omini direction also the all the.

The the shadow should be cross, so the edge should be.

Shown as sharpen as should. So in these scenario the lighting play a vital role that can detect the images or that can.

Process fastly so and the second is in AI, so in also AI the light should be good but.

Uh, the uh, technically it is not as uh.

As as as uh previously, uh method in previous method.

Thank you, Professor. Your explanation about ensuring uniform, flicker-free, broad-spectrum lighting—along with mitigating shadows for sharp edge detection—is both practical and important in maintaining accuracy in hardware-based edge detection. I understand that lighting becomes slightly less critical in AI-driven models. Moving forward, let's discuss your background in **Embedded & Communication Systems**. Specifically, could you explain a challenge you faced while designing or implementing an embedded system, and how you resolved it?

Uh, OK, uh, an embedded system I have uh, I have a combined or I have developed some project or I have worked on project many projects. So in one project.

Is uh ISP writer or ISP uh programmer as ESP 8266? Uh has the the capacity or the ports of ISP as well as the Arduino and the AVR microcontrollers as the ISP plugs. So we I am I was prior to program.

Arduino or AVR family chip by using the.

ESP 8266. So at the time I have encountered that the uh COM port are not uh mimic so in the AVR uh VR family, generally AVR dute it is a open source.

Program or open source communication protocol that can that bridge the. Between the AVR and the communicator software.

So but at the Wi-Fi in the end of the Wi-Fi I have I can I cannot access with AVR. So I have installed some mimicry software that is that mimic the IP as USB comp port. So at that time I have encountered this.

Type of thing.

Professor, you provided an engaging account of integrating ESP8266 with AVR architecture, addressing the communication mismatch issue via mimicry software to bridge IP with USB COM ports. This illustrates your familiarity with embedded systems and troubleshooting protocol challenges effectively. Next, let's explore evidence of your ability to teach theoretical and laboratory courses. Could you share an example of how you simplify a complex concept to ensure students grasp it effectively?

In which area or in which subject of the concept?

Let's focus on a concept within your expertise, perhaps something related to embedded systems or image processing—whichever you feel demonstrates your teaching method most effectively.

OK.

So for embedded system, uh, firstly, uh, the student should be aware with the programming language or the, uh, the sequence of the programming mean to create the any program, what sequence should be there or algorithm design steps. So generally, uh, in the in the beginning, they learned the C that is the best part. To learn.

Uh, learn that how can a human learn the OR, uh, hike, hike and human can train the system to act as a complete system. So generally programming is there so far. Firstly we focus on the program, then start with the Arduino, basic Arduino where the C program is there so. Generally start with the blink LED and different different thing then should go.

Go the complex programs so it but uh, before this, uh, we have also taught the structure or the architecture of uh AVR that is used in Arduino. So AVR architecture have ur to bridge ISP as well as some other analog input and.

Analog to detail converter, so for reading.

Analog pins so.

These are the different, different thing. Now after it we can go for the complex program. So we program. Also we should.

Assemble Arduino on the breadboard. So the student should know the basic concept of the Arduino. So by the AVR at Mega at Mega 8 or at Mega 32P by the placing on the breadboard student should know the how.

It communicate so whether uh with the help of the breadboard and uh AVR chips uh, we should uh make the uh breadboard Arduino after it Also they should aware about fuses, how fuse write and what is the uh? What is the requirement of fuge bit changing so after it? We should go on further more complex chips like ESP 32 and ESP 260 like that.

Uh, where, uh, more, uh, and I look to detail converter detail to analytic curvature there. So by these step, we should firstly aware the programmable chips and other thing, uh, also students should know the.

Electronic devices like what is that transistor, diode, track diac. So on the breadboard you they should also use track for high voltage switch on, off as well as the transistor for.

Create some reasoning or some input output method. So by these thing or with the help of these electronic and breadboard we should thought for practical implementation.

Thank you, Professor. You've outlined a structured and comprehensive teaching method for embedded systems. Starting from foundational programming concepts in C, introducing hardware elements like AVR architecture, and progressively advancing to more complex systems such as ESP32 is a solid approach. Incorporating practical implementation, including assembling breadboard-based Arduino systems, demonstrates your commitment to hands-on, student-centric learning. Now, let's discuss your approach to **student evaluation and exam duties**. Could you explain how you design assessment methods that fairly and effectively evaluate both theoretical understanding and practical application?

Yes, for assessment that continues assessment should be there as also in NP2020, uh, there is uh, it recommend that there is no any sharp or one day exam assessment. So the continuous assessment should be there. So in the continuous assessment firstly, uh, the teacher assess that or the professor assess that. The learner should be attentive or not attentive, so if they.

Uh, have any attention in the class. So he motive them that, uh, the, he should be involved in the class. So after these, uh, this thing, then we general, uh, should be communicate. Our teacher should be communicate to the student during the process of teaching. So by the feedback, we, uh, the teacher should assess that, uh, it is getting or not it. It is getting or not after this.

He is not.

And should give some time to complete it. So at that time, uh, uh, the, the, the engagement of the student can be related or the socialism also could be evaluate that how they face the problem or how they can.

Uh, some project or some task, uh exercise task should be given to the student so.

Uh, if the, it has, uh, the, if the, he cannot able to, uh, find the solution, but by the group discussion, he found or he get some, uh, knowledge and that find the solution. So by the these method, we can assess the students and the end of, uh, also we should, uh, formative or assessment. Formal assessment, but the weightage should be.

Not as much. Uh, uh, it should be 20 to 30%.

Understood, Professor. Your approach aligns well with a holistic and progressive evaluation philosophy. Emphasizing continuous assessment ensures regular student engagement, while integrating class attentiveness, feedback, project-based tasks, and collaborative problem-solving reflects a comprehensive evaluation model. I also commend you for advocating reduced weightage for formal assessments to prioritize ongoing learning. On to guiding student projects and research. Could you provide a specific example where you mentored a student or a group in a project, ensuring both academic rigor and practical relevance?

Yes, in the best engineering skills training center we have, we generally use to give a task before we introduce some new machine or new concept or new machine then we are giving or we used to give a task. After the exploration, so by the in the group they they attempts and they. Make some or made some question. Make some questions and we provide the answer and they.

Self learn by these tasks so we generally have in our practices.

Thank you, Professor. Creating exploratory tasks where students generate questions and engage in group learning before diving into new concepts is a commendable mentoring strategy. It reinforces self-learning while ensuring concepts are practically reinforced. I now need to confirm your capability in providing **clear communication and a structured teaching approach**. How do you ensure that your lectures, especially on complex topics, are structured and delivered in a way that is easy for all students to follow?

So if we take the example of VLSI design where I have the domain. So in VLSI design or in other we should use we we first use the mosfet and these thing after. For the designing complex circuits, I will teach the PMOS and MOS the working of PMOS, NMOS also. By and after it I have I will teach that how the NMOS should be.

Draw or should be placed in the for the combination of implement implementation of boolean algebra like NAND or NOR git. So firstly we I will create the, I will give a task to or. Firstly I will give a like give a practice to create the NMOS.

Uh, NAND gate after it PMOS NAND gate and MOS NOR gate or PMOS non gate after this uh, we uh, I will give some complex boolean to draw the, uh, different different, uh, complex boolean expression.

Thank you, Professor. Your explanation reflects a systematic approach by introducing foundational components like PMOS and NMOS, then progressing incrementally to build and implement Boolean logic gates before advancing to complex expressions. This method ensures clarity and reinforces learning progressively. Next, let's discuss your **PhD research and its contributions**. Can you briefly summarize your PhD thesis and highlight its significance to your field?

Yes, I have worked.

On numerical mythicist title is RVSD title numerical simulation and compact modeling of organic thin film transistor where I have work with different different organic semiconductor like firstly we have chosen the penta scene that is most popular organic semiconductor and 1st add first he was.

Uh, he was founded as a semiconductor. So after for this I have a model, A ticket or have, uh, I have modeled these.

Ticket. So where I have uh uh, I have defined the dos parameter uh and uh.

And we mean mobility of and and mobility and P mobility positive whole mobility. After this I have defined the model pool Frenkel model and different different model. So there is pool Finkel model and 2nd is the hooping transportation hooping transportation. So I have model that and after it.

I have uh the density of state and the defect. So NTANA and uh by the help of Gaussian distribution or normal distribution I have. Defined the material parameter or material.

Bends in by the Gaussian distribution and normal distribution after it. Uh I have simulate and change the parameters to fit the bentazine and.

After uh uh these thing I have attached the model on different different, uh semiconductor like tips and semiconductor UH4S21D entity semiconductor aware.

I have, uh, update the model or I have, uh, tuned the model after it. I have completed the compact model for these type of OTFT. So I have that's tested that, uh, he that and found it should match or not. So by these thing I have completed my PLD also the IT is a a topic under the. Serve or DST?

And that is granted for 40,00,000.

Thank you, Professor. Your PhD work on the numerical simulation and compact modeling of organic thin-film transistors (OTFTs) is impressive. Developing models for parameters like mobility, density of states, and defects—along with applying tools like Gaussian distribution—indicates significant contributions to the characterization and modeling of OTFTs. Additionally, receiving a DST grant of ₹40 lakh underscores the relevance and credibility of your research. Let's now move to your **research publication efforts**. Could you briefly highlight any specific research paper or publication that had a notable impact or was particularly challenging to produce?

Uh, OK.

Then I have publ published uh, uh, fabrication and characterization and numerical simulation compact modeling of P3 St. based organic thin film transistor uh, so it is a Q1 general and good general here, uh, I have uh started with numerical modeling first and when we.

Have we simulate the thickness and the length channel length?

After getting the best result, we uh uh, fabricate uh, by the spin coating, uh, the organ transistor and uh get result that, uh, it uh, work fine. So and also the four structure bottom gate, bottom contact, top gate bottom contact, top gate top contact and bottom gate top contact. So where?

Uh, we, yes, OK.

Ask please.